From ed3583abdf02de2d15c066b782a0d000724d6ec9 Mon Sep 17 00:00:00 2001
From: jgallowa07 <jaredgalloway07@gmail.com>
Date: Tue, 30 Apr 2024 15:10:53 -0700
Subject: [PATCH 1/6] generalized lasso experimental papermill nb

---
 .github/workflows/build_test_package.yml      |    3 +-
 .github/workflows/publish_package_pypi.yml    |    2 +-
 multidms/biophysical.py                       |  154 +-
 multidms/data.py                              |   58 +-
 multidms/model.py                             |  394 +-
 multidms/model_collection.py                  |    2 +-
 multidms/utils.py                             |   69 +
 .../fit_generalized_lasso.ipynb               | 3279 ++++++++++++++++
 .../nb_papermill.py                           |   87 +
 .../papermill_results.ipynb                   | 3335 +++++++++++++++++
 .../params.json                               |    9 +
 .../run_papermill.sh                          |    6 +
 ...transform_ref_equivariance_prototype.ipynb | 2363 +++++++++---
 pyproject.toml                                |    2 +
 tests/test_data.py                            |  456 ++-
 15 files changed, 9329 insertions(+), 890 deletions(-)
 create mode 100644 multidms/utils.py
 create mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb
 create mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py
 create mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb
 create mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/params.json
 create mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh

diff --git a/.github/workflows/build_test_package.yml b/.github/workflows/build_test_package.yml
index d3077da..451529b 100644
--- a/.github/workflows/build_test_package.yml
+++ b/.github/workflows/build_test_package.yml
@@ -53,8 +53,7 @@ jobs:
 
       - name: Test
         run: |
-          pytest
-          pytest --doctest-modules
+          pytest --doctest-modules multidms tests
 
       - name: Test docs build
         run: |
diff --git a/.github/workflows/publish_package_pypi.yml b/.github/workflows/publish_package_pypi.yml
index f851a13..e86e5e3 100644
--- a/.github/workflows/publish_package_pypi.yml
+++ b/.github/workflows/publish_package_pypi.yml
@@ -49,7 +49,7 @@ jobs:
 
       - name: Test
         run: |
-          pytest
+          pytest --doctest-modules multidms tests
 
       - name: Build python package
         run: |
diff --git a/multidms/biophysical.py b/multidms/biophysical.py
index fd7cfa3..d219ca8 100644
--- a/multidms/biophysical.py
+++ b/multidms/biophysical.py
@@ -35,7 +35,9 @@
 
 import jax.numpy as jnp
 from jaxopt.loss import huber_loss
-from jaxopt.prox import prox_lasso
+
+from multidms.utils import transform  # TODO namespace for utils?
+import pyproximal
 import jax
 
 # jax.config.update("jax_enable_x64", True)
@@ -76,11 +78,7 @@ def additive_model(d_params: dict, X_d: jnp.array):
     jnp.array
         Predicted latent phenotypes for each row in ``X_d``
     """
-    return (
-        d_params["beta_naught"]
-        + d_params["alpha_d"]
-        + (X_d @ (d_params["beta_m"] + d_params["s_md"]))
-    )
+    return d_params["beta0"] + X_d @ d_params["beta"]
 
 
 r"""
@@ -279,9 +277,12 @@ def softplus_activation(d_params, act, lower_bound=-3.5, hinge_scale=0.1, **kwar
     """
     return (
         hinge_scale
-        * (jnp.logaddexp(0, (act - (lower_bound + d_params["gamma_d"])) / hinge_scale))
+        # TODO GAMMA
+        # * (jnp.logaddexp(0, (act - (lower_bound + d_params["gamma_d"])) / hinge_scale))
+        * (jnp.logaddexp(0, act - lower_bound / hinge_scale))
         + lower_bound
-        + d_params["gamma_d"]
+        # TODO GAMMA
+        # + d_params["gamma_d"]
     )
 
 
@@ -320,56 +321,76 @@ def _abstract_epistasis(
     return t(d_params, g(d_params["theta"], additive_model(d_params, X_h)), **kwargs)
 
 
-def _lasso_lock_prox(
-    params,
-    hyperparams_prox=dict(
-        lasso_params=None, lock_params=None, upper_bound_theta_ge_scale=None
-    ),
-    scaling=1.0,
-):
-    """
-    Apply lasso and lock constraints to parameters
-
-    Parameters
-    ----------
-    params : dict
-        Dictionary of parameters to constrain
-    hyperparams_prox : dict
-        Dictionary of hyperparameters for proximal operators
-    scaling : float
-        Scaling factor for lasso penalty
-    """
-    # enforce monotonic epistasis and constrain ge_scale upper limit
-    if "ge_scale" in params["theta"]:
-        params["theta"]["ge_scale"] = params["theta"]["ge_scale"].clip(
-            0, hyperparams_prox["upper_bound_theta_ge_scale"]
-        )
-
-    if "p_weights_1" in params["theta"]:
-        params["theta"]["p_weights_1"] = params["theta"]["p_weights_1"].clip(0)
-        params["theta"]["p_weights_2"] = params["theta"]["p_weights_2"].clip(0)
-
-    if hyperparams_prox["lasso_params"] is not None:
-        for key, value in hyperparams_prox["lasso_params"].items():
-            params[key] = prox_lasso(params[key], value, scaling)
+def proximal_objective(Dop, params, hyperparameters, scaling=1.0):
+    """ADMM generalized lasso optimization."""
+    (
+        scale_coeff_lasso_shift,
+        admm_niter,
+        admm_tau,
+        admm_mu,
+        ge_scale_upper_bound,
+        lock_params,
+        bundle_idxs,
+        # Dop,
+    ) = hyperparameters
+    # apply prox
+    beta_ravel = jnp.vstack(params["beta"].values()).ravel(order="F")
+
+    # see https://pyproximal.readthedocs.io/en/stable/index.html
+    beta_ravel, shift_ravel = pyproximal.optimization.primal.LinearizedADMM(
+        pyproximal.L2(b=beta_ravel),
+        pyproximal.L1(sigma=scaling * scale_coeff_lasso_shift),
+        Dop,
+        niter=admm_niter,
+        tau=admm_tau,
+        mu=admm_mu,
+        x0=beta_ravel,
+        show=False,
+    )
 
+    beta = beta_ravel.reshape(-1, len(beta_ravel) // len(params["beta"]), order="F")
+    shift = shift_ravel.reshape(-1, len(shift_ravel) // len(params["beta"]), order="F")
+
+    # update beta dict
+    for i, d in enumerate(params["beta"]):
+        params["beta"][d] = beta[i]
+
+    # update shifts
+    for i, d in enumerate(params["shift"]):
+        params["shift"][d] = shift[i]
+
+    # clamp beta0 for reference condition in non-scaled parameterization
+    # (where it's a box constraint)
+    params = transform(params, bundle_idxs)
+
+    # should the following two conditions be within the transform?
+    # I'm pretty sure it doesn't matter since the the post latent
+    # stuff doesn't interfere with the beta's transformation.
+    #
+    # Though I do wonder if the beta's should be transformed before
+    # beting passed to the predictive function? HMM?
+    # clamp theta scale to monotonic, and with optional upper bound
+    params["theta"]["ge_scale"] = params["theta"]["ge_scale"].clip(
+        0, ge_scale_upper_bound
+    )
     # Any params to constrain during fit
-    if hyperparams_prox["lock_params"] is not None:
-        for key, value in hyperparams_prox["lock_params"].items():
-            params[key] = value
+    if lock_params is not None:
+        for (param, subparam), value in lock_params.items():
+            params[param][subparam] = value
+
+    # params["beta0"][params["beta0"].keys()] = 0.0
+    params = transform(params, bundle_idxs)
 
     return params
 
 
-def _gamma_corrected_cost_smooth(
+# TODO, add back gamma correction
+def smooth_objective(
     f,
     params,
     data,
-    huber_scale=1,
-    scale_coeff_ridge_shift=0,
     scale_coeff_ridge_beta=0,
-    scale_coeff_ridge_gamma=0,
-    scale_coeff_ridge_alpha_d=0,
+    huber_scale=1,
     **kwargs,
 ):
     """
@@ -386,14 +407,8 @@ def _gamma_corrected_cost_smooth(
         return the respective binarymap and the row associated target functional scores
     huber_scale : float
         Scale parameter for Huber loss function
-    scale_coeff_ridge_shift : float
-        Ridge penalty coefficient for shift parameters
     scale_coeff_ridge_beta : float
-        Ridge penalty coefficient for beta parameters
-    scale_coeff_ridge_gamma : float
-        Ridge penalty coefficient for gamma parameters
-    scale_coeff_ridge_alpha_d : float
-        Ridge penalty coefficient for alpha parameters
+        Ridge penalty coefficient for shift parameters
     kwargs : dict
         Additional keyword arguments to pass to the biophysical model function
 
@@ -403,19 +418,18 @@ def _gamma_corrected_cost_smooth(
         Summed loss across all conditions.
     """
     X, y = data
-    loss = 0
+    huber_cost = 0
+    beta_ridge_penalty = 0
 
     # Sum the huber loss across all conditions
-    # shift_ridge_penalty = 0
     for condition, X_d in X.items():
         # Subset the params for condition-specific prediction
         d_params = {
+            "beta0": params["beta0"][condition],
+            "beta": params["beta"][condition],
+            # TODO GAMMA
+            # "gamma": params["gamma"][condition],
             "theta": params["theta"],
-            "beta_m": params["beta"],
-            "beta_naught": params["beta_naught"],
-            "s_md": params[f"shift_{condition}"],
-            "alpha_d": params[f"alpha_{condition}"],
-            "gamma_d": params[f"gamma_{condition}"],
         }
 
         # compute predictions
@@ -423,16 +437,18 @@ def _gamma_corrected_cost_smooth(
 
         # compute the Huber loss between observed and predicted
         # functional scores
-        loss += huber_loss(
-            y[condition] + d_params["gamma_d"], y_d_predicted, huber_scale
+        huber_cost += huber_loss(
+            # TODO GAMMA
+            # y[condition] + d_params["gamma"], y_d_predicted, huber_scale
+            y[condition],
+            y_d_predicted,
+            huber_scale,
         ).mean()
 
         # compute a regularization term that penalizes non-zero
         # parameters and add it to the loss function
-        loss += scale_coeff_ridge_shift * jnp.sum(d_params["s_md"] ** 2)
-        loss += scale_coeff_ridge_alpha_d * jnp.sum(d_params["alpha_d"] ** 2)
-        loss += scale_coeff_ridge_gamma * jnp.sum(d_params["gamma_d"] ** 2)
+        beta_ridge_penalty += scale_coeff_ridge_beta * (d_params["beta"] ** 2).sum()
 
-    loss += scale_coeff_ridge_beta * jnp.sum(params["beta"] ** 2)
+    huber_cost /= len(X)
 
-    return loss
+    return huber_cost + beta_ridge_penalty
diff --git a/multidms/data.py b/multidms/data.py
index 14a7313..d157420 100644
--- a/multidms/data.py
+++ b/multidms/data.py
@@ -20,6 +20,7 @@
 from tqdm.auto import tqdm
 
 from multidms import AAS
+from multidms.utils import rereference
 
 import jax
 import jax.numpy as jnp
@@ -54,6 +55,11 @@ def split_subs(subs_string, parser=split_sub):
     return wts, sites, muts
 
 
+# TODO add bundle_idxs property
+# TODO add validation split
+# TODO could compute the Difference matrix
+
+
 class Data:
     r"""
     Prep and store one-hot encoding of
@@ -234,9 +240,8 @@ def __init__(
                 "condition column looks to be numeric type, converting to string",
                 UserWarning,
             )
-        self._conditions = tuple(sorted(variants_df["condition"].astype(str).unique()))
-
-        if str(reference) not in self._conditions:
+        unique_conditions = set(variants_df["condition"].astype(str))
+        if str(reference) not in unique_conditions:
             if not isinstance(reference, str):
                 raise ValueError(
                     "reference must be a string, note that if your "
@@ -244,6 +249,13 @@ def __init__(
                     "converted to string"
                 )
             raise ValueError("reference must be in condition factor levels")
+
+        # set the reference as the first condition. We need it to be first because
+        # the difference matrix will be constructed with that assumption so the
+        # parameters are inserted in the correct order in the Model initialization
+        non_reference_conditions = unique_conditions - set([reference])
+        self._conditions = tuple([reference] + list(non_reference_conditions))
+
         self._reference = str(reference)
 
         self._collapse_identical_variants = collapse_identical_variants
@@ -464,6 +476,9 @@ def get_nis_from_site_map(site_map):
                 axis=1,
             )
 
+        df.drop(["wts", "sites", "muts"], axis=1, inplace=True)
+        self._variants_df = df
+
         # Make BinaryMap representations for each condition
         allowed_subs = {s for subs in df.var_wrt_ref for s in subs.split()}
         binmaps, X, y, w = {}, {}, {}, {}
@@ -481,12 +496,29 @@ def get_nis_from_site_map(site_map):
             if "weight" in condition_func_score_df.columns:
                 w[condition] = jnp.array(condition_func_score_df["weight"].values)
 
-        df.drop(["wts", "sites", "muts"], axis=1, inplace=True)
-        self._variants_df = df
+        # set training data properties
         self._training_data = {"X": X, "y": y, "w": w}
         self._binarymaps = binmaps
         self._mutations = tuple(ref_bmap.all_subs)
 
+        # next, we need to create a "scaled" dataset
+        # where the bits are flipped in the one-hot encoding
+        # for all non identical mutations
+        # see TODO for more
+        self._non_identical_idxs = {}
+        self._scaled_training_data = {"X": {}, "y": y, "w": w}
+        for condition in self._conditions:
+            self._non_identical_idxs[condition] = jnp.array(
+                [
+                    idx
+                    in ref_bmap.sub_str_to_indices(non_identical_mutations[condition])
+                    for idx in range(len(ref_bmap.all_subs))
+                ]
+            )
+            self._scaled_training_data["X"][condition] = rereference(
+                X[condition], self._non_identical_idxs[condition]
+            )
+
         # initialize single mutational effects df
         mut_df = pd.DataFrame({"mutation": self._mutations})
 
@@ -507,6 +539,7 @@ def get_nis_from_site_map(site_map):
 
         self._mutations_df = mut_df
         self._name = name if isinstance(name, str) else f"Data-{Data.counter}"
+
         Data.counter += 1
 
     def __repr__(self):
@@ -578,6 +611,16 @@ def non_identical_sites(self) -> dict:
         """
         return self._non_identical_sites
 
+    # TODO should we rename "non_identical" -> "bundle" everywhere?
+    @property
+    def non_identical_idxs(self) -> dict:
+        """
+        A dictionary keyed by condition names with values
+        being the indices into the binarymap representing
+        bundle (non_identical) mutations
+        """
+        return self._non_identical_idxs
+
     @property
     def reference_sequence_conditions(self) -> list:
         """
@@ -591,6 +634,11 @@ def training_data(self) -> dict:
         """A dictionary with keys 'X' and 'y' for the training data."""
         return self._training_data
 
+    @property
+    def scaled_training_data(self) -> dict:
+        """A dictionary with keys 'X' and 'y' for the scaled training data."""
+        return self._scaled_training_data
+
     @property
     def binarymaps(self) -> dict:
         """
diff --git a/multidms/model.py b/multidms/model.py
index bd0dab2..6a9f4b8 100644
--- a/multidms/model.py
+++ b/multidms/model.py
@@ -8,24 +8,28 @@
 
 import math
 import warnings
-from functools import partial, reduce
+from functools import partial, reduce, cached_property
+from frozendict import frozendict
+
+from multidms import Data
+import multidms.biophysical
+from multidms.plot import _lineplot_and_heatmap
+from multidms.utils import transform, difference_matrix
 
 import jax
 import jax.numpy as jnp
 import numpy as onp
 import pandas as pd
 import scipy
-import seaborn as sns
-from frozendict import frozendict
+import pylops
+from scipy.stats import pearsonr
 from jax.experimental import sparse
 from jaxopt import ProximalGradient
-from jaxopt.linear_solve import solve_normal_cg
+
+# from jaxopt.linear_solve import solve_normal_cg
+import seaborn as sns
 from matplotlib import pyplot as plt
-from scipy.stats import pearsonr
 
-from multidms import Data
-import multidms.biophysical
-from multidms.plot import _lineplot_and_heatmap
 
 jax.config.update("jax_enable_x64", True)
 
@@ -140,20 +144,18 @@ class Model:
     request the property.
 
     >>> model.get_mutations_df()  # doctest: +NORMALIZE_WHITESPACE
-                  beta  shift_b  predicted_func_score_a  predicted_func_score_b  \
-    mutation           
-    M1E       0.080868      0.0                0.101030                0.565154
-    M1W      -0.386247      0.0               -0.476895               -0.012770
-    G3P      -0.375656      0.0               -0.464124                0.000000                                                                                                                                   
-    G3R       1.668974      0.0                1.707195                2.171319 
-    <BLANKLINE>
-              times_seen_a  times_seen_b wts  sites muts
+              beta_a  beta_b  shift_b  predicted_func_score_a  \
     mutation
-    M1E                  1           3.0   M      1    E
-    M1W                  1           0.0   M      1    W
-    G3P                  1           1.0   G      3    P
-    G3R                  1           2.0   G      3    R
-
+    M1E          0.0     0.0      0.0                     0.0
+    M1W          0.0     0.0      0.0                     0.0
+    G3P          0.0    -0.0      0.0                     0.0
+    G3R          0.0     0.0      0.0                     0.0
+              predicted_func_score_b  times_seen_a  times_seen_b wts  sites muts
+    mutation
+    M1E                          0.0             1           3.0   M      1    E
+    M1W                          0.0             1           0.0   M      1    W
+    G3P                          0.0             1           1.0   G      3    P
+    G3R                          0.0             1           2.0   G      3    R
 
     Notice the respective single mutation effects (``"beta"``), conditional shifts
     (``shift_d``),
@@ -161,27 +163,26 @@ class Model:
     easily accessible. Similarly, we can take a look at the variants_df for the model,
 
     >>> model.get_variants_df()  # doctest: +NORMALIZE_WHITESPACE
-      condition aa_substitutions  func_score var_wrt_ref  predicted_latent  \
-    0         a              M1E         2.0         M1E          0.080868
-    1         a              G3R        -7.0         G3R          1.668974
-    2         a              G3P        -0.5         G3P         -0.375656
-    3         a              M1W         2.3         M1W         -0.386247
-    4         b              M1E         1.0     G3P M1E          0.080868
-    5         b              P3R        -5.0         G3R          2.044630
-    6         b              P3G         0.4                      0.375656
-    7         b          M1E P3G         2.7         M1E          0.456523
-    8         b          M1E P3R        -2.7     G3R M1E          2.125498
-    <BLANKLINE>
+       condition aa_substitutions  func_score var_wrt_ref  predicted_latent  \
+    0         a              M1E         2.0         M1E               0.0
+    1         a              G3R        -7.0         G3R               0.0
+    2         a              G3P        -0.5         G3P               0.0
+    3         a              M1W         2.3         M1W               0.0
+    4         b              M1E         1.0     G3P M1E               0.0
+    5         b              P3R        -5.0         G3R               0.0
+    6         b              P3G         0.4                           0.0
+    7         b          M1E P3G         2.7         M1E               0.0
+    8         b          M1E P3R        -2.7     G3R M1E               0.0
        predicted_func_score
-    0              0.101030
-    1              1.707195
-    2             -0.464124
-    3             -0.476895
-    4              0.098285
-    5              2.171319
-    6              0.464124
-    7              0.565154
-    8              2.223789
+    0                   0.0
+    1                   0.0
+    2                   0.0
+    3                   0.0
+    4                   0.0
+    5                   0.0
+    6                   0.0
+    7                   0.0
+    8                   0.0
 
 
     We now have access to the predicted (and gamma corrected) functional scores
@@ -192,13 +193,13 @@ class Model:
     given our initialized parameters
 
     >>> model.loss
-    Array(7.19312981, dtype=float64)
+    2.9370000000000003
 
     Next, we fit the model with some chosen hyperparameters.
 
-    >>> model.fit(maxiter=1000, lasso_shift=1e-5, warn_unconverged=False)
+    >>> model.fit(maxiter=10, lasso_shift=1e-5, warn_unconverged=False)
     >>> model.loss
-    Array(1.18200934e-05, dtype=float64)
+    0.29835365289243454
 
     The model tunes its parameters in place, and the subsequent call to retrieve
     the loss reflects our models loss given its updated parameters.
@@ -215,23 +216,22 @@ def __init__(
         output_activation=multidms.biophysical.identity_activation,
         conditional_shifts=True,
         alpha_d=False,
-        gamma_corrected=False,
+        # gamma_corrected=False,
         PRNGKey=0,
         lower_bound=None,
         n_hidden_units=5,
-        init_beta_naught=0.0,
         init_theta_scale=5.0,
         init_theta_bias=-5.0,
         name=None,
     ):
         """See class docstring."""
-        self.gamma_corrected = gamma_corrected
+        # self.gamma_corrected = gamma_corrected
         self.conditional_shifts = conditional_shifts
         self.alpha_d = alpha_d
 
         self._data = data
 
-        self._params = {}
+        self._scaled_data_params = {}
         key = jax.random.PRNGKey(PRNGKey)
 
         # initialize beta and shift parameters
@@ -240,22 +240,32 @@ def __init__(
         latent_model = multidms.biophysical.additive_model
         if latent_model == multidms.biophysical.additive_model:
             n_beta_shift = len(self._data.mutations)
-            self._params["beta"] = jax.random.normal(shape=(n_beta_shift,), key=key)
-            for condition in data.conditions:
-                self._params[f"shift_{condition}"] = jnp.zeros(shape=(n_beta_shift,))
-                self._params[f"alpha_{condition}"] = jnp.zeros(shape=(1,))
-            self._params["beta_naught"] = jnp.array([init_beta_naught])
+            self._scaled_data_params["beta0"] = {
+                cond: jnp.zeros(shape=(1,)) for cond in data.conditions
+            }
+            self._scaled_data_params["beta"] = {
+                cond: jnp.zeros(shape=(n_beta_shift,)) for cond in data.conditions
+            }
+            self._scaled_data_params["shift"] = {
+                cond: jnp.zeros(shape=(n_beta_shift,)) for cond in data.conditions
+            }
+            # TODO GAMMA
+            # self._params["gamma"] = {
+            #     cond: jnp.zeros(shape=(1,)) for cond in data.conditions
+            # }
         else:
             raise ValueError(f"{latent_model} not recognized,")
 
         # initialize theta parameters
         if epistatic_model == multidms.biophysical.sigmoidal_global_epistasis:
-            self._params["theta"] = dict(
+            self._scaled_data_params["theta"] = dict(
                 ge_scale=jnp.array([init_theta_scale]),
                 ge_bias=jnp.array([init_theta_bias]),
             )
 
         elif epistatic_model == multidms.biophysical.softplus_global_epistasis:
+            # TODO Could infer here such that the parameters are initialized to the
+            # range of the data?
             if output_activation != multidms.biophysical.softplus_activation:
                 warnings.warn(
                     "softplus_global_epistasis has no natural lower bound,"
@@ -263,13 +273,13 @@ def __init__(
                     "with a lower bound specified when using this model."
                 )
 
-            self._params["theta"] = dict(
+            self._scaled_data_params["theta"] = dict(
                 ge_scale=jnp.array([init_theta_scale]),
                 ge_bias=jnp.array([init_theta_bias]),
             )
 
         elif epistatic_model == multidms.biophysical.identity_activation:
-            self._params["theta"] = dict(ghost_param=jnp.zeros(shape=(1,)))
+            self._scaled_data_params["theta"] = dict(ghost_param=jnp.zeros(shape=(1,)))
 
         elif epistatic_model == multidms.biophysical.nn_global_epistasis:
             if n_hidden_units is None:
@@ -277,7 +287,7 @@ def __init__(
                     "n_hidden_units must be specified for nn_global_epistasis"
                 )
             key, key1, key2, key3, key4 = jax.random.split(key, num=5)
-            self._params["theta"] = dict(
+            self._scaled_data_params["theta"] = dict(
                 p_weights_1=jax.random.normal(shape=(n_hidden_units,), key=key1).clip(
                     0
                 ),
@@ -303,9 +313,6 @@ def __init__(
                 multidms.biophysical.softplus_activation, lower_bound=lower_bound
             )
 
-        for condition in data.conditions:
-            self._params[f"gamma_{condition}"] = jnp.zeros(shape=(1,))
-
         # compile the model components
         pred = partial(
             multidms.biophysical._abstract_epistasis,  # abstract function to compile
@@ -318,7 +325,7 @@ def __init__(
             epistatic_model,
             output_activation,
         )
-        cost = partial(multidms.biophysical._gamma_corrected_cost_smooth, pred)
+        objective = partial(multidms.biophysical.smooth_objective, pred)
 
         self._model_components = frozendict(
             {
@@ -327,8 +334,8 @@ def __init__(
                 "output_activation": output_activation,
                 "f": pred,
                 "from_latent": from_latent,
-                "objective": cost,
-                "proximal": multidms.biophysical._lasso_lock_prox,
+                "objective": objective,
+                "proximal": multidms.biophysical.proximal_objective,
             }
         )
 
@@ -348,15 +355,20 @@ def __str__(self):
         """Returns a string representation of the object."""
         return f"{self.__class__.__name__}({self.name})"
 
+    def _clear_cache(self):
+        """Clear cached properties"""
+        if "params" in self.__dict__:
+            del self.__dict__["params"]
+
     @property
     def name(self) -> str:
         """The name of the data object."""
         return self._name
 
-    @property
+    @cached_property
     def params(self) -> dict:
-        """All current model parameters in a dictionary."""
-        return self._params
+        """A copy of all current model parameters"""
+        return transform(self._scaled_data_params, self.data.non_identical_idxs)
 
     @property
     def state(self) -> dict:
@@ -397,7 +409,9 @@ def loss(self) -> float:
             "scale_ridge_alpha_d": 0.0,
         }
         data = (self.data.training_data["X"], self.data.training_data["y"])
-        return jax.jit(self.model_components["objective"])(self.params, data, **kwargs)
+        return float(
+            jax.jit(self.model_components["objective"])(self.params, data, **kwargs)
+        )
 
     @property
     def conditional_loss(self) -> float:
@@ -415,7 +429,7 @@ def conditional_loss(self) -> float:
         for condition in self.data.conditions:
             condition_data = ({condition: X[condition]}, {condition: y[condition]})
             ret[condition] = float(loss_fxn(self.params, condition_data, **kwargs))
-        ret["total"] = sum(ret.values())
+        ret["total"] = sum(ret.values()) / len(ret.values())
         return ret
 
     @property
@@ -465,8 +479,9 @@ def get_variants_df(self, phenotype_as_effect=True):
 
         # if we're a gamma corrected model, also report the "corrected"
         # observed func score, as we do during training.
-        if self.gamma_corrected:
-            variants_df["corrected_func_score"] = variants_df["func_score"]
+        # TODO GAMMA
+        # if self.gamma_corrected:
+        # variants_df["corrected_func_score"] = variants_df["func_score"]
 
         # get the wildtype predictions for each condition
         if phenotype_as_effect:
@@ -489,10 +504,14 @@ def get_variants_df(self, phenotype_as_effect=True):
 
                 variants_df.loc[condition_df.index, f"predicted_{pheno}"] = Y_pred
 
-            if self.gamma_corrected:
-                variants_df.loc[condition_df.index, "corrected_func_score"] += d_params[
-                    "gamma_d"
-                ]
+            # TODO GAMMA
+            # if self.gamma_corrected:
+            #     variants_df.loc[
+            # condition_df.index,
+            # "corrected_func_score"
+            # ] += d_params[
+            #         "gamma"
+            #     ]
 
         return variants_df
 
@@ -505,6 +524,7 @@ def mutations_df(self):
         warnings.warn("deprecated", DeprecationWarning)
         return self.get_mutations_df(phenotype_as_effect=False)
 
+    # TODO cached_property
     def get_mutations_df(
         self,
         phenotype_as_effect=True,
@@ -565,14 +585,15 @@ def get_mutations_df(
         if phenotype_as_effect:
             wildtype_df = self.wildtype_df
 
-        # add betas i.e. 'latent effect'
-        mutations_df.loc[:, "beta"] = self._params["beta"]
         X = sparse.BCOO.fromdense(onp.identity(len(self._data.mutations)))
 
+        params = self.params
         for condition in self._data.conditions:
             # shift of latent effect
+            mutations_df[f"beta_{condition}"] = params["beta"][condition]
+
             if condition != self._data.reference:
-                mutations_df[f"shift_{condition}"] = self._params[f"shift_{condition}"]
+                mutations_df[f"shift_{condition}"] = params["shift"][condition]
 
             Y_pred = self.phenotype_frombinary(X, condition)
             if phenotype_as_effect:
@@ -587,10 +608,10 @@ def get_mutations_df(
                 ]
 
         col_order = (
-            ["beta"]
-            + [c for c in mutations_df.columns if "shift_" in c]
-            + [c for c in mutations_df.columns if "predicted_" in c]
-            + [c for c in mutations_df.columns if "times_seen_" in c]
+            [c for c in mutations_df.columns if c.startswith("beta")]
+            + [c for c in mutations_df.columns if c.startswith("shift")]
+            + [c for c in mutations_df.columns if c.startswith("predicted")]
+            + [c for c in mutations_df.columns if c.startswith("times_seen")]
         )
         if return_split:
             col_order += ["wts", "sites", "muts"]
@@ -633,6 +654,12 @@ def get_df_loss(self, df, error_if_unknown=False, verbose=False, conditional=Fal
         if condition_col not in df.columns:
             raise ValueError("`df` lacks `condition_col` " f"{condition_col}")
 
+        kwargs = {
+            "scale_coeff_ridge_beta": 0.0,
+            "scale_coeff_ridge_shift": 0.0,
+            "scale_coeff_ridge_gamma": 0.0,
+            "scale_ridge_alpha_d": 0.0,
+        }
         loss_fxn = jax.jit(self.model_components["objective"])
 
         ret = {}
@@ -688,10 +715,9 @@ def get_df_loss(self, df, error_if_unknown=False, verbose=False, conditional=Fal
             )
 
             y[condition] = jnp.array(variant_targets)
+            ret[condition] = float(loss_fxn(self.params, (X, y), **kwargs))
 
-            ret[condition] = float(loss_fxn(self.params, (X, y)))
-
-        ret["total"] = sum(ret.values())
+        ret["total"] = sum(ret.values()) / len(ret.values())
 
         if not conditional:
             return ret["total"]
@@ -892,14 +918,13 @@ def get_condition_params(self, condition=None):
         condition = self.data.reference if condition is None else condition
         if condition not in self.data.conditions:
             raise ValueError(f"condition {condition} does not exist in model")
-
         return {
+            "beta0": self.params["beta0"][condition],
+            "beta": self.params["beta"][condition],
+            "shift": self.params["shift"][condition],
+            # TODO GAMMA
+            # "gamma": self.params["gamma"][condition],
             "theta": self.params["theta"],
-            "beta_m": self.params["beta"],
-            "beta_naught": self.params["beta_naught"],
-            "s_md": self.params[f"shift_{condition}"],
-            "alpha_d": self.params[f"alpha_{condition}"],
-            "gamma_d": self.params[f"gamma_{condition}"],
         }
 
     def phenotype_fromsubs(self, aa_subs, condition=None):
@@ -966,31 +991,19 @@ def latent_frombinary(self, X, condition=None):
         d_params = self.get_condition_params(condition)
         return jax.jit(self.model_components["latent_model"])(d_params, X)
 
-    def fit_reference_beta(self, **kwargs):
-        """
-        Fit the Model beta's to the reference data.
-
-        This is an experimental feature and is not recommended
-        for general use.
-        """
-        ref_X = self.data.training_data["X"][self.data.reference]
-        ref_y = self.data.training_data["y"][self.data.reference]
-
-        self._params["beta"] = solve_normal_cg(
-            lambda beta: ref_X @ beta, ref_y, init=self._params["beta"], **kwargs
-        )
-
     def fit(
         self,
+        scale_coeff_lasso_shift=1e-5,
         tol=1e-4,
         maxiter=1000,
-        acceleration=True,
         maxls=15,
-        scale_coeff_lasso_shift=1e-5,
+        acceleration=True,
         lock_params={},
+        admm_niter=50,
+        admm_tau=1.0,
         warn_unconverged=True,
-        upper_bound_theta_ge_scale="infer",
-        convergence_trajectory_resolution=100,
+        upper_bound_ge_scale="infer",
+        convergence_trajectory_resolution=10,
         **kwargs,
     ):
         r"""
@@ -999,9 +1012,10 @@ def fit(
         Parameters
         ----------
         scale_coeff_lasso_shift : float
-            L1 penalty on the shift parameters. Defaults to 1e-5.
+            L1 penalty coefficient applied "shift" in beta_d parameters.
+            Defaults to 1e-4.
         tol : float
-            Tolerance for the optimization. Defaults to 1e-6.
+            Tolerance for the optimization convergence criteria. Defaults to 1e-4.
         maxiter : int
             Maximum number of iterations for the optimization. Defaults to 1000.
         maxls : int
@@ -1011,13 +1025,18 @@ def fit(
         lock_params : dict
             Dictionary of parameters, and desired value to constrain
             them at during optimization. By default, none of the parameters
-            besides the reference shift, and reference latent offset are locked.
+            reference-condition latent offset (TODO math? beta0[ref]) are locked.
+        admm_niter : int
+            Number of iterations to perform during the ADMM optimization.
+            Defaults to 50.
+        admm_tau : float
+            ADMM step size. Defaults to 1.0.
         warn_unconverged : bool
             If True, raise a warning if the optimization does not converge.
             convergence is defined by whether the model tolerance (''tol'') threshold
             was passed during the optimization process.
             Defaults to True.
-        upper_bound_theta_ge_scale : float, None, or 'infer'
+        upper_bound_ge_scale : float, None, or 'infer'
             The positive upper bound of the theta scale parameter -
             negative values are not allowed.
             Passing ``None`` allows the scale of the sigmoid to be unconstrained.
@@ -1029,53 +1048,74 @@ def fit(
             during optimization. Defaults to 100.
         **kwargs : dict
             Additional keyword arguments passed to the objective function.
-            These include hyperparameters like a ridge penalty on beta, shift, and gamma
-            as well as huber loss scaling.
+            See the multidms.biophysical.smooth_objective docstring for
+            details on the other hyperparameters that may be supplied to
+            regularize and otherwise modify the objective function
+            being optimized.
         """
-        lock_params[f"shift_{self._data.reference}"] = jnp.zeros(
-            len(self._params["beta"])
-        )
-        lock_params[f"gamma_{self._data.reference}"] = jnp.zeros(shape=(1,))
-
-        if not self.conditional_shifts:
-            for condition in self._data.conditions:
-                lock_params[f"shift_{condition}"] = jnp.zeros(shape=(1,))
-
-        if not self.gamma_corrected:
-            for condition in self._data.conditions:
-                lock_params[f"gamma_{condition}"] = jnp.zeros(shape=(1,))
+        # TODO rename
 
-        if not self.alpha_d:
-            for condition in self._data.conditions:
-                lock_params[f"alpha_{condition}"] = jnp.zeros(shape=(1,))
-        else:
-            lock_params[f"alpha_{self._data.reference}"] = jnp.zeros(shape=(1,))
-
-        lasso_params = {}
-        for non_ref_condition in self._data.conditions:
-            if non_ref_condition == self._data.reference:
-                continue
-            lasso_params[f"shift_{non_ref_condition}"] = scale_coeff_lasso_shift
-
-        if not isinstance(upper_bound_theta_ge_scale, (float, int, type(None), str)):
+        # CONFIG PROXIMAL
+        # infer the range of the training data, and double it
+        # to set the upper bound of the theta (post-latent e.g. sigmoid) scale parameter.
+        # see https://github.com/matsengrp/multidms/issues/143 for details
+        if not isinstance(upper_bound_ge_scale, (float, int, type(None), str)):
             raise ValueError(
                 "upper_bound_theta_ge_scale must be a float, None, or 'infer'"
             )
-        if isinstance(upper_bound_theta_ge_scale, (float, int)):
-            if upper_bound_theta_ge_scale < 0:
+        if isinstance(upper_bound_ge_scale, (float, int)):
+            if upper_bound_ge_scale < 0:
                 raise ValueError("upper_bound_theta_ge_scale must be non-negative")
-        # infer the range of the training data, and double it
-        # to set the upper bound of the theta scale parameter.
-        # see https://github.com/matsengrp/multidms/issues/143 for details
-        # TODO could make this a property of the Data object
 
-        if upper_bound_theta_ge_scale == "infer":
+        # TODO I wonder if this should be rounded?
+        if upper_bound_ge_scale == "infer":
             y = jnp.concatenate(list(self.data.training_data["y"].values()))
             y_range = y.max() - y.min()
-            upper_bound_theta_ge_scale = 2 * y_range
+            upper_bound_ge_scale = 2 * y_range
+
+        # TODO This should all be done in init(), as we don't expect anything
+        # here to change upon different calls to fit.
+        non_identical_signs = {
+            condition: jnp.where(self.data._non_identical_idxs[condition], -1, 1)
+            for condition in self.data.conditions
+        }
+        non_identical_sign_matrix = jnp.vstack(
+            [non_identical_signs[d] for d in self.data.conditions]
+        )
+        diff_matrix = difference_matrix(len(self.data.conditions))
+        D_block_diag = scipy.sparse.block_diag(
+            [
+                jnp.array(diff_matrix) @ jnp.diag(non_identical_sign_matrix[:, col])
+                for col in range(len(self.data.mutations))
+            ]
+        )
+        Dop = pylops.LinearOperator(
+            Op=scipy.sparse.linalg.aslinearoperator(D_block_diag),
+            dtype=diff_matrix.dtype,
+            shape=D_block_diag.shape,
+        )
+        # print(Dop)
+        # print((Dop.matvec))
+        eig = jnp.real((Dop.H * Dop).eigs(neigs=1, which="LM")[0])
+
+        admm_mu = 0.99 * admm_tau / eig
+        assert 0 < admm_mu < admm_tau / eig
+
+        lock_params[("beta0", self.data.reference)] = 0.0
+
+        hyperparams_prox = (
+            scale_coeff_lasso_shift,
+            admm_niter,
+            admm_tau,
+            admm_mu,
+            upper_bound_ge_scale,
+            lock_params,
+            self.data.non_identical_idxs,
+            # Dop,
+        )
 
+        compiled_proximal = partial(self._model_components["proximal"], Dop)
         compiled_objective = jax.jit(self._model_components["objective"])
-        compiled_proximal = jax.jit(self._model_components["proximal"])
 
         solver = ProximalGradient(
             compiled_objective,
@@ -1084,23 +1124,30 @@ def fit(
             maxiter=maxiter,
             acceleration=acceleration,
             maxls=maxls,
+            jit=False,
+        )
+
+        # print(
+        #     compiled_proximal(self._scaled_data_params, hyperparams_prox, scaling=1.0)
+        # )
+
+        # GET DATA
+        scaled_training_data = (
+            self._data.scaled_training_data["X"],
+            self._data.scaled_training_data["y"],
         )
 
-        training_data = (self._data.training_data["X"], self._data.training_data["y"])
+        # TODO get validation data if it exists?
 
         self._state = solver.init_state(
-            self._params,
-            hyperparams_prox=dict(
-                lasso_params=lasso_params,
-                lock_params=lock_params,
-                upper_bound_theta_ge_scale=upper_bound_theta_ge_scale,
-            ),
-            data=training_data,
+            self._scaled_data_params,
+            hyperparams_prox=hyperparams_prox,
+            data=scaled_training_data,
             **kwargs,
         )
 
         convergence_trajectory = pd.DataFrame(
-            index=range(maxiter + 1, convergence_trajectory_resolution)
+            index=range(0, maxiter + 1, convergence_trajectory_resolution)
         ).assign(loss=onp.nan, error=onp.nan)
 
         # TODO should step be the index?
@@ -1108,43 +1155,29 @@ def fit(
 
         # record initial loss and error
         convergence_trajectory.loc[0, "loss"] = float(
-            compiled_objective(self._params, training_data)
+            compiled_objective(self._scaled_data_params, scaled_training_data)
         )
 
         convergence_trajectory.loc[0, "error"] = float(self._state.error)
 
-        # prev_no_pen_obj_loss = jnp.inf
         for i in range(maxiter):
             # perform single optimization step
-            self._params, self._state = solver.update(
-                self._params,
+            self._scaled_data_params, self._state = solver.update(
+                self._scaled_data_params,
                 self._state,
-                hyperparams_prox=dict(
-                    lasso_params=lasso_params,
-                    lock_params=lock_params,
-                    upper_bound_theta_ge_scale=upper_bound_theta_ge_scale,
-                ),
-                data=training_data,
+                hyperparams_prox=hyperparams_prox,
+                data=scaled_training_data,
                 **kwargs,
             )
             # record loss and error trajectories at regular intervals
             if (i + 1) % convergence_trajectory_resolution == 0:
-                no_pen_obj_loss = float(compiled_objective(self._params, training_data))
+                no_pen_obj_loss = float(
+                    compiled_objective(self._scaled_data_params, scaled_training_data)
+                )
                 convergence_trajectory.loc[i + 1, "loss"] = no_pen_obj_loss
                 convergence_trajectory.loc[i + 1, "error"] = float(self._state.error)
 
-                # TODO, if you wanted to
-                # delta_no_pen_obj_loss = -1 * (no_pen_obj_loss - prev_no_pen_obj_loss)
-                # if delta_no_pen_obj_loss < tol:
-                #     self._converged = True
-                #     break
-
-                # prev_no_pen_obj_loss = no_pen_obj_loss
-
             # early stopping criteria
-            # TODO what if we had an auxilary attribute that we used for
-            # early stopping, that's probably really speed things up if we
-            # wanted to do the above.
             if self._state.error < tol:
                 self._converged = True
                 break
@@ -1158,8 +1191,9 @@ def fit(
                 )
 
         self._convergence_trajectory = convergence_trajectory
+        self._clear_cache()
 
-        # return None
+        return None
 
     def plot_pred_accuracy(
         self,
diff --git a/multidms/model_collection.py b/multidms/model_collection.py
index 154ce0f..4e5dba2 100644
--- a/multidms/model_collection.py
+++ b/multidms/model_collection.py
@@ -220,7 +220,7 @@ def fit_one_model(
         scale_coeff_ridge_beta=scale_coeff_ridge_beta,
         scale_coeff_ridge_gamma=scale_coeff_ridge_gamma,
         scale_coeff_ridge_alpha_d=scale_coeff_ridge_alpha_d,
-        upper_bound_theta_ge_scale=upper_bound_theta_ge_scale,
+        upper_bound_ge_scale=upper_bound_theta_ge_scale,
     )
     end = time.time()
 
diff --git a/multidms/utils.py b/multidms/utils.py
new file mode 100644
index 0000000..e21d43b
--- /dev/null
+++ b/multidms/utils.py
@@ -0,0 +1,69 @@
+"""
+==========
+Utils
+==========
+
+Helpful utility functions for the `multidms` package
+"""
+
+import scipy as sp
+import jax
+import jax.numpy as jnp
+
+
+def difference_matrix(n):
+    """
+    Given some number of conditions, return the difference matrix
+    for computing shifts between adjacent conditional beta parameters.
+    This always assumes the reference condition is the first condition.
+    """
+    D = jnp.eye(n, n).at[:, 0].set(-1).at[0].set(0)
+
+    return D
+
+
+# TODO Finish, do shift params need to be transformed, as well?
+# TODO test
+def transform(params, bundle_idxs):
+    """
+    Transforms the bet coefficient parameters of a `multidms` model to be
+    negative for the bundles specified in `bundle_idxs`.
+
+    TODO Finish
+    """
+    params_transformed = {
+        key: val.copy() for key, val in params.items() if key not in ["beta", "beta0"]
+    }
+    params_transformed["beta"] = {}
+    params_transformed["beta0"] = {}
+    for d in params["beta"]:
+        params_transformed["beta"][d] = params["beta"][d].at[bundle_idxs[d]].mul(-1)
+        params_transformed["beta0"][d] = (
+            params["beta0"][d] + params["beta"][d][bundle_idxs[d]].sum()
+        )
+    return params_transformed
+
+
+def rereference(X, cols):
+    """Flip bits on columns (bool idxs)"""
+    if cols.sum():
+        X_scipy = sp.sparse.csr_matrix(
+            (X.data, (X.indices[:, 0], X.indices[:, 1])), shape=X.shape
+        ).tolil()
+        tmp = X_scipy[:, cols].copy()
+        X_scipy[:, cols] = 1
+        X_scipy[:, cols] -= tmp
+        X_scaled = jax.experimental.sparse.BCOO.from_scipy_sparse(X_scipy)
+        X_scaled = jax.experimental.sparse.BCOO(
+            (X_scaled.data.astype(jnp.int8), X_scaled.indices), shape=X.shape
+        )
+
+        assert (
+            X[:, cols].sum(0).todense() + X_scaled[:, cols].sum(0).todense()
+            == X.shape[0]
+        ).all()
+
+    else:
+        X_scaled = X
+
+    return X_scaled
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb b/notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb
new file mode 100644
index 0000000..97a7cca
--- /dev/null
+++ b/notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb
@@ -0,0 +1,3279 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import jax\n",
+    "jax.config.update(\"jax_enable_x64\", True)\n",
+    "import jax.numpy as jnp\n",
+    "import jaxopt\n",
+    "import pyproximal\n",
+    "import pylops\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import scipy\n",
+    "import seaborn as sns\n",
+    "import multidms"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "tags": [
+     "parameters"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# max number of warmup iterations with post-latent GE (if any) remains fixed\n",
+    "warmup_iterations = 10\n",
+    "\n",
+    "# total number of iterations to optimize\n",
+    "max_total_iterations = 100\n",
+    "\n",
+    "# error tolerance for early stopping (convergence criteria)\n",
+    "error_tolerance = 1e-4\n",
+    "\n",
+    "# data params\n",
+    "data_replicate = 2\n",
+    "\n",
+    "# modeling params\n",
+    "equivariant = False\n",
+    "post_latent_fn = \"sigmoid\"\n",
+    "smooth_obj_fn = \"cond_norm_penalty\"\n",
+    "weighted_by_variant_support = False\n",
+    "\n",
+    "init_beta_normal = False # False initializes beta's to be zero\n",
+    "\n",
+    "# only relevant to the sigmoid post latent fn\n",
+    "theta_scale = 6.0\n",
+    "theta_bias = -3.5\n",
+    "lock_sigmoid_params = False\n",
+    "theta_scale_upper_bound = 10\n",
+    "l2reg_theta_scale = 0\n",
+    "\n",
+    "# other fitting hyperparameters\n",
+    "# the weights we use for the manusctript are:\n",
+    "# \"lasso_coeff\" : [0.0, 5.00e-6, 1.00e-05, 2.00e-05, 4.00e-05, 8.00e-05, 1.60e-04, 3.20e-04, 6.40e-04]\n",
+    "lasso_coeff = 4e-5\n",
+    "l2reg_beta = 1e-3\n",
+    "\n",
+    "output_dir = \"results/output\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Count aggregation\n",
+    "\n",
+    "aggregate unfiltered counts, then compute a single functional score for each variant"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>pre_count</th>\n",
+       "      <th>post_count</th>\n",
+       "      <th>aa_substitutions</th>\n",
+       "      <th>condition</th>\n",
+       "      <th>replicate</th>\n",
+       "      <th>n_subs</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>235</td>\n",
+       "      <td>331</td>\n",
+       "      <td>N87T L517F T1006A</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>234</td>\n",
+       "      <td>682</td>\n",
+       "      <td>D80L</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>234</td>\n",
+       "      <td>145</td>\n",
+       "      <td>A1026V D1168Y</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>234</td>\n",
+       "      <td>546</td>\n",
+       "      <td>G75W K1154E</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>234</td>\n",
+       "      <td>103</td>\n",
+       "      <td>T307S S803L A893V</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>770281</th>\n",
+       "      <td>287</td>\n",
+       "      <td>187</td>\n",
+       "      <td>P82S S112T D138T K1038N</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>770282</th>\n",
+       "      <td>287</td>\n",
+       "      <td>170</td>\n",
+       "      <td>L179P A222T G261H N405D</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>770283</th>\n",
+       "      <td>287</td>\n",
+       "      <td>58</td>\n",
+       "      <td>S27F G413E</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>770284</th>\n",
+       "      <td>287</td>\n",
+       "      <td>488</td>\n",
+       "      <td>A222V S1242I</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>770285</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>V16I Y501N G769C S943T I1130M</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>770286 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        pre_count  post_count               aa_substitutions    condition  \\\n",
+       "0             235         331              N87T L517F T1006A        Delta   \n",
+       "1             234         682                           D80L        Delta   \n",
+       "2             234         145                  A1026V D1168Y        Delta   \n",
+       "3             234         546                    G75W K1154E        Delta   \n",
+       "4             234         103              T307S S803L A893V        Delta   \n",
+       "...           ...         ...                            ...          ...   \n",
+       "770281        287         187        P82S S112T D138T K1038N  Omicron_BA2   \n",
+       "770282        287         170        L179P A222T G261H N405D  Omicron_BA2   \n",
+       "770283        287          58                     S27F G413E  Omicron_BA2   \n",
+       "770284        287         488                   A222V S1242I  Omicron_BA2   \n",
+       "770285          0           0  V16I Y501N G769C S943T I1130M  Omicron_BA2   \n",
+       "\n",
+       "        replicate  n_subs  \n",
+       "0               1       3  \n",
+       "1               1       1  \n",
+       "2               1       2  \n",
+       "3               1       2  \n",
+       "4               1       3  \n",
+       "...           ...     ...  \n",
+       "770281          2       4  \n",
+       "770282          2       4  \n",
+       "770283          2       2  \n",
+       "770284          2       2  \n",
+       "770285          2       5  \n",
+       "\n",
+       "[770286 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "func_scores_df = pd.read_csv(\n",
+    "    \"../input/spike_func_scores_unfiltered_counts.csv\").fillna(\"\").drop(columns=\"func_score\")\n",
+    "\n",
+    "func_scores_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>pre_count</th>\n",
+       "      <th>post_count</th>\n",
+       "      <th>aa_substitutions</th>\n",
+       "      <th>condition</th>\n",
+       "      <th>replicate</th>\n",
+       "      <th>n_subs</th>\n",
+       "      <th>barcodes</th>\n",
+       "      <th>func_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5027212</td>\n",
+       "      <td>4967837</td>\n",
+       "      <td></td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10176</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5955236</td>\n",
+       "      <td>3000775</td>\n",
+       "      <td></td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8516</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>13479201</td>\n",
+       "      <td>16707349</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24216</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>15250884</td>\n",
+       "      <td>19953602</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22495</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>15195250</td>\n",
+       "      <td>12396402</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>21020</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335519</th>\n",
+       "      <td>499</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V S98Y D138* Y144V N280D N405P P463S S982R ...</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.160077</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335520</th>\n",
+       "      <td>166</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Y91V T108A G261H</td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-inf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335521</th>\n",
+       "      <td>888</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V T883I</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.991597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335522</th>\n",
+       "      <td>303</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Y91V V401L K679A D1163G</td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-inf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335523</th>\n",
+       "      <td>43</td>\n",
+       "      <td>16</td>\n",
+       "      <td>Y91V Y636H S691D G1219V</td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1.736013</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>335524 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        pre_count  post_count  \\\n",
+       "0         5027212     4967837   \n",
+       "1         5955236     3000775   \n",
+       "2        13479201    16707349   \n",
+       "3        15250884    19953602   \n",
+       "4        15195250    12396402   \n",
+       "...           ...         ...   \n",
+       "335519        499          71   \n",
+       "335520        166           0   \n",
+       "335521        888          71   \n",
+       "335522        303           0   \n",
+       "335523         43          16   \n",
+       "\n",
+       "                                         aa_substitutions    condition  \\\n",
+       "0                                                                Delta   \n",
+       "1                                                                Delta   \n",
+       "2                                                          Omicron_BA1   \n",
+       "3                                                          Omicron_BA1   \n",
+       "4                                                          Omicron_BA2   \n",
+       "...                                                   ...          ...   \n",
+       "335519  Y91V S98Y D138* Y144V N280D N405P P463S S982R ...  Omicron_BA2   \n",
+       "335520                                   Y91V T108A G261H  Omicron_BA1   \n",
+       "335521                                         Y91V T883I  Omicron_BA2   \n",
+       "335522                            Y91V V401L K679A D1163G  Omicron_BA1   \n",
+       "335523                            Y91V Y636H S691D G1219V  Omicron_BA1   \n",
+       "\n",
+       "        replicate  n_subs  barcodes  func_score  \n",
+       "0               1       0     10176    0.000000  \n",
+       "1               2       0      8516    0.000000  \n",
+       "2               1       0     24216    0.000000  \n",
+       "3               2       0     22495    0.000000  \n",
+       "4               1       0     21020    0.000000  \n",
+       "...           ...     ...       ...         ...  \n",
+       "335519          2       9         2   -3.160077  \n",
+       "335520          2       3         1        -inf  \n",
+       "335521          2       2         2   -3.991597  \n",
+       "335522          2       4         1        -inf  \n",
+       "335523          1       4         1   -1.736013  \n",
+       "\n",
+       "[335524 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "groups = func_scores_df.groupby([\"aa_substitutions\", \"condition\", \"replicate\"])\n",
+    "\n",
+    "func_scores_collapsed_df = groups.agg(\n",
+    "    dict(pre_count=\"sum\", post_count=\"sum\", aa_substitutions=\"first\", condition=\"first\", replicate=\"first\", n_subs=\"first\")\n",
+    ").assign(barcodes=groups.size()).reset_index(drop=True)\n",
+    "\n",
+    "pseudocount = 0\n",
+    "func_scores_collapsed_df[\"func_score\"] = np.log2(func_scores_collapsed_df.post_count + pseudocount) - np.log2(func_scores_collapsed_df.pre_count + pseudocount)\n",
+    "\n",
+    "# normalize to WT for each condition\n",
+    "groups = func_scores_collapsed_df.groupby([\"condition\", \"replicate\"])\n",
+    "for (condition, replicate), group in groups:\n",
+    "    wt = group.query(\"aa_substitutions == ''\").func_score.squeeze()\n",
+    "    func_scores_collapsed_df.loc[group.index, \"func_score\"] -= wt\n",
+    "\n",
+    "func_scores_collapsed_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Filter the aggregated counts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(295757, 8)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "func_scores_collapsed_df.query(\"(pre_count >= 100) & (post_count > 0)\", inplace=True)\n",
+    "func_scores_collapsed_df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>pre_count</th>\n",
+       "      <th>post_count</th>\n",
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+       "      <th>condition</th>\n",
+       "      <th>replicate</th>\n",
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+       "      <th>barcodes</th>\n",
+       "      <th>func_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5027212</td>\n",
+       "      <td>4967837</td>\n",
+       "      <td></td>\n",
+       "      <td>Delta</td>\n",
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+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5955236</td>\n",
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+       "      <td></td>\n",
+       "      <td>Delta</td>\n",
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+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>13479201</td>\n",
+       "      <td>16707349</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24216</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>15250884</td>\n",
+       "      <td>19953602</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22495</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>15195250</td>\n",
+       "      <td>12396402</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>21020</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335513</th>\n",
+       "      <td>633</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Y91V E132Q Q675L A845E G1167D</td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-6.693818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335514</th>\n",
+       "      <td>497</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Y91V H505N I1216T</td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-6.537503</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335517</th>\n",
+       "      <td>310</td>\n",
+       "      <td>26</td>\n",
+       "      <td>Y91V S112N M177K L335P N405A C671R K679R T859A...</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.922613</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335519</th>\n",
+       "      <td>499</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V S98Y D138* Y144V N280D N405P P463S S982R ...</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.160077</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335521</th>\n",
+       "      <td>888</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V T883I</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.991597</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>295757 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        pre_count  post_count  \\\n",
+       "0         5027212     4967837   \n",
+       "1         5955236     3000775   \n",
+       "2        13479201    16707349   \n",
+       "3        15250884    19953602   \n",
+       "4        15195250    12396402   \n",
+       "...           ...         ...   \n",
+       "335513        633           8   \n",
+       "335514        497           7   \n",
+       "335517        310          26   \n",
+       "335519        499          71   \n",
+       "335521        888          71   \n",
+       "\n",
+       "                                         aa_substitutions    condition  \\\n",
+       "0                                                                Delta   \n",
+       "1                                                                Delta   \n",
+       "2                                                          Omicron_BA1   \n",
+       "3                                                          Omicron_BA1   \n",
+       "4                                                          Omicron_BA2   \n",
+       "...                                                   ...          ...   \n",
+       "335513                      Y91V E132Q Q675L A845E G1167D  Omicron_BA1   \n",
+       "335514                                  Y91V H505N I1216T  Omicron_BA1   \n",
+       "335517  Y91V S112N M177K L335P N405A C671R K679R T859A...  Omicron_BA2   \n",
+       "335519  Y91V S98Y D138* Y144V N280D N405P P463S S982R ...  Omicron_BA2   \n",
+       "335521                                         Y91V T883I  Omicron_BA2   \n",
+       "\n",
+       "        replicate  n_subs  barcodes  func_score  \n",
+       "0               1       0     10176    0.000000  \n",
+       "1               2       0      8516    0.000000  \n",
+       "2               1       0     24216    0.000000  \n",
+       "3               2       0     22495    0.000000  \n",
+       "4               1       0     21020    0.000000  \n",
+       "...           ...     ...       ...         ...  \n",
+       "335513          2       5         1   -6.693818  \n",
+       "335514          2       3         1   -6.537503  \n",
+       "335517          2       9         2   -3.922613  \n",
+       "335519          2       9         2   -3.160077  \n",
+       "335521          2       2         2   -3.991597  \n",
+       "\n",
+       "[295757 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "func_scores_collapsed_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Replicate correlations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x300 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "tmp = func_scores_collapsed_df.pivot(index=[\"aa_substitutions\", \"condition\"], columns=\"replicate\", values=\"func_score\").reset_index()\n",
+    "tmp.rename(columns={1: \"func_score_rep_1\", 2: \"func_score_rep_2\"}, inplace=True)\n",
+    "tmp.dropna(inplace=True)\n",
+    "g = sns.displot(data=tmp, col=\"condition\", x=\"func_score_rep_1\", y=\"func_score_rep_2\", height=3, \n",
+    "                kind=\"hist\", common_norm=False, common_bins=False)\n",
+    "for d, ax in zip(g.col_names, g.axes.flat):\n",
+    "    ax.plot([-6, 2], [-6, 2], \"k--\")\n",
+    "    ax.set_xlim(-6, 2)\n",
+    "    ax.set_ylim(-6, 2)\n",
+    "    ax.annotate(f\"Pearson r = {scipy.stats.pearsonr(tmp.query('condition == @d').func_score_rep_1, tmp.query('condition == @d').func_score_rep_2).statistic:.2f}\", (0.02, 0.95), xycoords=\"axes fraction\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Distribution of number of barcodes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 3))\n",
+    "sns.countplot(x=func_scores_collapsed_df.barcodes, native_scale=True)\n",
+    "plt.xscale(\"log\")\n",
+    "# plt.yscale(\"log\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Distribution of number of mutations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 3))\n",
+    "sns.countplot(x=func_scores_collapsed_df.n_subs)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Number of variants in each condition"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='condition', ylabel='count'>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(4, 3))\n",
+    "sns.countplot(data=func_scores_collapsed_df, x=\"condition\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Add a weight, which can be used in fitting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>pre_count</th>\n",
+       "      <th>post_count</th>\n",
+       "      <th>aa_substitutions</th>\n",
+       "      <th>condition</th>\n",
+       "      <th>replicate</th>\n",
+       "      <th>n_subs</th>\n",
+       "      <th>barcodes</th>\n",
+       "      <th>func_score</th>\n",
+       "      <th>weight</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5027212</td>\n",
+       "      <td>4967837</td>\n",
+       "      <td></td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10176</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5955236</td>\n",
+       "      <td>3000775</td>\n",
+       "      <td></td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8516</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>13479201</td>\n",
+       "      <td>16707349</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24216</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>15250884</td>\n",
+       "      <td>19953602</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22495</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>15195250</td>\n",
+       "      <td>12396402</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>21020</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>18959708</td>\n",
+       "      <td>24113895</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19832</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>978</td>\n",
+       "      <td>291</td>\n",
+       "      <td>A1015D</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1.731675</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>853</td>\n",
+       "      <td>156</td>\n",
+       "      <td>A1015D</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1.462176</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>644</td>\n",
+       "      <td>24</td>\n",
+       "      <td>A1015D</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-4.452255</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>796</td>\n",
+       "      <td>268</td>\n",
+       "      <td>A1015D E1188Q</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1.553395</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    pre_count  post_count aa_substitutions    condition  replicate  n_subs  \\\n",
+       "0     5027212     4967837                         Delta          1       0   \n",
+       "1     5955236     3000775                         Delta          2       0   \n",
+       "2    13479201    16707349                   Omicron_BA1          1       0   \n",
+       "3    15250884    19953602                   Omicron_BA1          2       0   \n",
+       "4    15195250    12396402                   Omicron_BA2          1       0   \n",
+       "5    18959708    24113895                   Omicron_BA2          2       0   \n",
+       "6         978         291           A1015D        Delta          1       1   \n",
+       "7         853         156           A1015D        Delta          2       1   \n",
+       "9         644          24           A1015D  Omicron_BA2          1       1   \n",
+       "10        796         268    A1015D E1188Q        Delta          1       2   \n",
+       "\n",
+       "    barcodes  func_score  weight  \n",
+       "0      10176    0.000000     1.0  \n",
+       "1       8516    0.000000     1.0  \n",
+       "2      24216    0.000000     1.0  \n",
+       "3      22495    0.000000     1.0  \n",
+       "4      21020    0.000000     1.0  \n",
+       "5      19832    0.000000     1.0  \n",
+       "6          2   -1.731675     1.0  \n",
+       "7          2   -1.462176     1.0  \n",
+       "9          2   -4.452255     1.0  \n",
+       "10         2   -1.553395     1.0  "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "if weighted_by_variant_support:\n",
+    "    func_scores_collapsed_df['weight'] = np.sqrt(func_scores_collapsed_df['barcodes'])\n",
+    "else:\n",
+    "    func_scores_collapsed_df['weight'] = 1.0\n",
+    "\n",
+    "func_scores_collapsed_df.head(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Isolate a single replicate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>pre_count</th>\n",
+       "      <th>post_count</th>\n",
+       "      <th>aa_substitutions</th>\n",
+       "      <th>condition</th>\n",
+       "      <th>replicate</th>\n",
+       "      <th>n_subs</th>\n",
+       "      <th>barcodes</th>\n",
+       "      <th>func_score</th>\n",
+       "      <th>weight</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5955236</td>\n",
+       "      <td>3000775</td>\n",
+       "      <td></td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8516</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>15250884</td>\n",
+       "      <td>19953602</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22495</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>18959708</td>\n",
+       "      <td>24113895</td>\n",
+       "      <td></td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19832</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>853</td>\n",
+       "      <td>156</td>\n",
+       "      <td>A1015D</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1.462176</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>3757</td>\n",
+       "      <td>2030</td>\n",
+       "      <td>A1015S</td>\n",
+       "      <td>Delta</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0.100722</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335513</th>\n",
+       "      <td>633</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Y91V E132Q Q675L A845E G1167D</td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-6.693818</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335514</th>\n",
+       "      <td>497</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Y91V H505N I1216T</td>\n",
+       "      <td>Omicron_BA1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-6.537503</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335517</th>\n",
+       "      <td>310</td>\n",
+       "      <td>26</td>\n",
+       "      <td>Y91V S112N M177K L335P N405A C671R K679R T859A...</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.922613</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335519</th>\n",
+       "      <td>499</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V S98Y D138* Y144V N280D N405P P463S S982R ...</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.160077</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335521</th>\n",
+       "      <td>888</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V T883I</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.991597</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>142673 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        pre_count  post_count  \\\n",
+       "1         5955236     3000775   \n",
+       "3        15250884    19953602   \n",
+       "5        18959708    24113895   \n",
+       "7             853         156   \n",
+       "14           3757        2030   \n",
+       "...           ...         ...   \n",
+       "335513        633           8   \n",
+       "335514        497           7   \n",
+       "335517        310          26   \n",
+       "335519        499          71   \n",
+       "335521        888          71   \n",
+       "\n",
+       "                                         aa_substitutions    condition  \\\n",
+       "1                                                                Delta   \n",
+       "3                                                          Omicron_BA1   \n",
+       "5                                                          Omicron_BA2   \n",
+       "7                                                  A1015D        Delta   \n",
+       "14                                                 A1015S        Delta   \n",
+       "...                                                   ...          ...   \n",
+       "335513                      Y91V E132Q Q675L A845E G1167D  Omicron_BA1   \n",
+       "335514                                  Y91V H505N I1216T  Omicron_BA1   \n",
+       "335517  Y91V S112N M177K L335P N405A C671R K679R T859A...  Omicron_BA2   \n",
+       "335519  Y91V S98Y D138* Y144V N280D N405P P463S S982R ...  Omicron_BA2   \n",
+       "335521                                         Y91V T883I  Omicron_BA2   \n",
+       "\n",
+       "        replicate  n_subs  barcodes  func_score  weight  \n",
+       "1               2       0      8516    0.000000     1.0  \n",
+       "3               2       0     22495    0.000000     1.0  \n",
+       "5               2       0     19832    0.000000     1.0  \n",
+       "7               2       1         2   -1.462176     1.0  \n",
+       "14              2       1         6    0.100722     1.0  \n",
+       "...           ...     ...       ...         ...     ...  \n",
+       "335513          2       5         1   -6.693818     1.0  \n",
+       "335514          2       3         1   -6.537503     1.0  \n",
+       "335517          2       9         2   -3.922613     1.0  \n",
+       "335519          2       9         2   -3.160077     1.0  \n",
+       "335521          2       2         2   -3.991597     1.0  \n",
+       "\n",
+       "[142673 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "func_scores_collapsed_df.query(f\"replicate == {data_replicate}\", inplace=True)\n",
+    "func_scores_collapsed_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# clip functional scores with a floor of -3.5\n",
+    "func_scores_collapsed_df[\"func_score\"] = func_scores_collapsed_df.func_score.clip(-3.5, 2.5)\n",
+    "# func_scores_collapsed_df.query(\"func_score >= -3.5 & func_score <= 2.5\", inplace=True)\n",
+    "# func_scores_collapsed_df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Define the multidms data object"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Data(rep-2)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = multidms.Data(\n",
+    "        # func_scores_df,\n",
+    "        func_scores_collapsed_df,\n",
+    "        # collapse_identical_variants=\"mean\",\n",
+    "        alphabet=multidms.AAS_WITHSTOP_WITHGAP,\n",
+    "        reference=\"Omicron_BA1\",\n",
+    "        # reference=\"Omicron_BA2\",\n",
+    "        # reference=\"Delta\",\n",
+    "        assert_site_integrity=False,\n",
+    "        verbose=False,\n",
+    "        name=f\"rep-{data_replicate}\" \n",
+    "    )\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'X': {'Delta': BCOO(int8[26743, 10722], nse=869823),\n",
+       "  'Omicron_BA1': BCOO(int8[53209, 10722], nse=137253),\n",
+       "  'Omicron_BA2': BCOO(int8[51122, 10722], nse=853243)},\n",
+       " 'y': {'Delta': Array([ 0.        , -1.46217618,  0.10072214, ..., -0.95950872,\n",
+       "         -3.0166309 , -3.39281081], dtype=float64),\n",
+       "  'Omicron_BA1': Array([ 0.        , -0.1441993 ,  0.15470144, ..., -3.5       ,\n",
+       "         -3.5       , -3.5       ], dtype=float64),\n",
+       "  'Omicron_BA2': Array([ 0.        , -0.04110356, -0.62651354, ..., -3.3366282 ,\n",
+       "         -3.5       , -3.5       ], dtype=float64)},\n",
+       " 'w': {'Delta': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
+       "  'Omicron_BA1': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
+       "  'Omicron_BA2': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64)}}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.training_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Plot the distribution of row-sums of $X$, and the distribution of $y$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 3))\n",
+    "for d in data.conditions:\n",
+    "    Xd = data.training_data[\"X\"][d]\n",
+    "    yd = data.training_data[\"y\"][d]\n",
+    "    plt.subplot(121)\n",
+    "    sns.histplot(Xd.sum(1).todense(), bins=np.linspace(0, 50, 50), label=d, element=\"step\", alpha=0.1)\n",
+    "    plt.legend()\n",
+    "    plt.xlabel(\"Number of substitution wrt reference\")\n",
+    "    plt.subplot(122)\n",
+    "    sns.histplot(x=yd, bins=np.linspace(-5, 5, 50), element=\"step\", alpha=0.1)\n",
+    "    plt.xlabel(\"Functional score\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Define reference condition"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('Omicron_BA1', 0)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ref_condition = data.reference\n",
+    "ref_condition_idx = data.conditions.index(ref_condition)\n",
+    "ref_condition, ref_condition_idx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Modeling\n",
+    "\n",
+    "Given any 1-hot encoding $X_d\\in\\{0,1\\}^{n_d\\times M}, d=1\\dots,D$, we pose the regression problem as\n",
+    "\n",
+    "### Reference Shift Model\n",
+    "\n",
+    "$$\n",
+    "y_d = g_\\theta\\left(\\beta_0 + \\alpha_d + \\sum_{m} (\\beta_{m} + \\Delta_{m, d})x_{m,d}\\right)\n",
+    "$$\n",
+    "\n",
+    "Where:\n",
+    "\n",
+    "* $\\beta_0$ is a wildtype offset parameter applied to the latent prediction of all experiments.\n",
+    "* $\\alpha_d$ is a set of bias parameters, optionally applied to the latent phenotype of all _non-reference_ experiments. These parameters may capture the effect of the _bundle_ of non-identical mutations which may exist between experiments.\n",
+    "* $\\beta_{m}$ is the latent phenotypic effect of mutation $m$ shared by all experiments (See the note below), \n",
+    "* $\\Delta_{d, m}$ is the shift of the effect of mutation $m$ in condition $d$.\n",
+    "* $v$ is the set of all mutations relative to the reference wild type sequence including all potential non-identical wildtype mutations that separate condition $d$ from the reference condition.\n",
+    "\n",
+    "### Generalized Lasso Model\n",
+    "\n",
+    "$$\n",
+    "y_{d} = g_\\theta\\left(\\beta_{0,d} + \\sum_m\\beta_{m,d} \\ x_{m,d}\\right) + \\epsilon_{d}.\n",
+    "$$\n",
+    "The shifts of mutation effects between conditions $d$ and $d'$ are\n",
+    "$$\n",
+    "\\Delta_{m,d,d'} = \\beta_{m,d} - \\beta_{m,d'},\n",
+    "$$\n",
+    "and the shifts between WTs are\n",
+    "$$\n",
+    "\\alpha_{d,d'} = \\beta_{0,d} - \\beta_{0,d'}.\n",
+    "$$\n",
+    "We will usually use a 1-hot encoding referenced to the WT sequence from one of the $D$ conditions, so that the mutation effects and shifts are interpreted wrt to that condition.\n",
+    "This introduces parameter scaling problems in the non-reference conditions that confound gradient methods, arising from the set of \"bundle\" sites that define the divergence from the reference encoding (more on this below).\n",
+    "For now, note that the choice of reference condition for interpreting shifts can be made *a posteriori* by fixing $d'$, recovering the parameterization in the main text."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# @jax.jit\n",
+    "def φ_pred_fn(params, data):\n",
+    "    result = {}\n",
+    "    for d in data[\"X\"]:\n",
+    "        β0d = params[\"β0\"][d]\n",
+    "        βd = params[\"β\"][d]\n",
+    "        Xd = data[\"X\"][d]\n",
+    "        # theta = params[\"θ\"]\n",
+    "        result[d] = β0d + Xd @ βd\n",
+    "    return result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def sigmoidal_global_epistasis(theta: dict, z_d: jnp.array):\n",
+    "    r\"\"\"\n",
+    "    A flexible sigmoid function for modeling global epistasis.\n",
+    "    This function takes a set of latent phenotype values, :math:`z_d`\n",
+    "    and computes the predicted functional scores using the scaling parameters\n",
+    "    :math:`\\theta_{\\text{scale}}` and :math:`\\theta_{\\text{bias}}`\n",
+    "    such that:\n",
+    "\n",
+    "    .. math::\n",
+    "        g(z) =  \\frac{\\theta_{\\text{scale}}}{1 + e^{-z}} + \\theta_{\\text{bias}}\n",
+    "\n",
+    "    .. note::\n",
+    "        this function is independent from the\n",
+    "        experimental condition from which a variant is observed.\n",
+    "\n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    theta : dict\n",
+    "        Dictionary of model defining parameters as jax arrays.\n",
+    "    z_d : jnp.array\n",
+    "        Latent phenotype values for a given set of variants\n",
+    "\n",
+    "    Returns\n",
+    "    -------\n",
+    "    jnp.array\n",
+    "        Predicted functional scores for each latent phenotype in ``z_d``.\n",
+    "    \"\"\"\n",
+    "    activations = jax.nn.sigmoid(z_d[:, None])\n",
+    "    return (theta[\"theta_scale\"] @ activations.T) + theta[\"theta_bias\"]\n",
+    "\n",
+    "\n",
+    "def identity_activation(d_params, act, **kwargs):\n",
+    "    \"\"\"\n",
+    "    Identity function :math:`f(x)=x`.\n",
+    "    Mostly a ghost function which helps compose\n",
+    "    the model when you don't want to use any final output activation e.g.\n",
+    "    you don't have a pre-defined lower bound.\n",
+    "    \"\"\"\n",
+    "    return act"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Functional score prediction"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if post_latent_fn == \"linear\":\n",
+    "    g_pred_fn = identity_activation\n",
+    "elif post_latent_fn == \"sigmoid\":\n",
+    "    g_pred_fn = sigmoidal_global_epistasis\n",
+    "    \n",
+    "def y_pred_fn(params, data):\n",
+    "    φ_pred = φ_pred_fn(params, data)\n",
+    "    result = {}\n",
+    "    theta = params[\"θ\"]\n",
+    "    for d in data[\"X\"]:\n",
+    "        result[d] = g_pred_fn(theta, φ_pred[d])\n",
+    "    return result"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Smooth peice of the objective function\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "Let $N = \\sum_{d=1}^{D}N_d$\n",
+    "\n",
+    "$$\n",
+    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{N} \\sum_{d=1}^D  \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x)) + \\lambda\\|\\beta_d\\|^2_2,\n",
+    "$$\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@jax.jit\n",
+    "def all_sample_normalized_loss(\n",
+    "    params, \n",
+    "    data, \n",
+    "    condition_weights, \n",
+    "    l2reg_beta=0.0, \n",
+    "    l2reg_theta_scale=0.0, \n",
+    "    huber_delta=1.0,\n",
+    "):\n",
+    "    conditional_loss = 0.0\n",
+    "    N = 0\n",
+    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
+    "\n",
+    "        yd = data[\"y\"][d]\n",
+    "        βd = params[\"β\"][d]\n",
+    "        N_d = yd.shape[0]\n",
+    "        wd = condition_weights[d] * data[\"w\"][d]\n",
+    "\n",
+    "        conditional_loss += (\n",
+    "            wd * jaxopt.loss.huber_loss(yd, yd_pred, delta=huber_delta)\n",
+    "        ).sum()\n",
+    "        \n",
+    "        conditional_loss += l2reg_beta * (βd**2).sum()\n",
+    "\n",
+    "        N += N_d \n",
+    "\n",
+    "    conditional_loss /= N\n",
+    "\n",
+    "    θ = params[\"θ\"]\n",
+    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
+    "\n",
+    "    return conditional_loss + theta_penalty"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "$$\n",
+    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{D} \\sum_{d=1}^D \\left(\\frac{1}{N_d} \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x)) + \\lambda\\|\\beta_d\\|^2_2\\right)\n",
+    "$$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# jared's loss\n",
+    "@jax.jit\n",
+    "def condition_normalized_penalty_loss(\n",
+    "    params, \n",
+    "    data, \n",
+    "    condition_weights, \n",
+    "    l2reg_beta=0.0, \n",
+    "    l2reg_theta_scale=0.0, \n",
+    "    huber_delta=1.0,\n",
+    "):\n",
+    "    conditional_loss = 0.0\n",
+    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
+    "\n",
+    "        yd = data[\"y\"][d]\n",
+    "        βd = params[\"β\"][d]\n",
+    "        N_d = yd.shape[0]\n",
+    "        wd = condition_weights[d] * data[\"w\"][d]\n",
+    "\n",
+    "        huber_loss = (\n",
+    "            wd * jaxopt.loss.huber_loss(yd, yd_pred, delta=huber_delta)\n",
+    "        ).sum()\n",
+    "\n",
+    "        beta_ridge_penalty = l2reg_beta * (βd**2).sum()\n",
+    "        conditional_loss += (huber_loss + beta_ridge_penalty) / N_d\n",
+    "\n",
+    "    D = len(data[\"X\"])\n",
+    "    conditional_loss /= D\n",
+    "\n",
+    "    θ = params[\"θ\"]\n",
+    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
+    "\n",
+    "    return conditional_loss + theta_penalty"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "$$\n",
+    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{D} \\sum_{d=1}^D \\left(\\frac{1}{N_d} \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x))\\right) + \\frac{1}{N} \\lambda\\|\\beta\\|^2_2\n",
+    "$$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@jax.jit\n",
+    "def condition_normalized_equal_penalty_loss(\n",
+    "    params, \n",
+    "    data, \n",
+    "    condition_weights, \n",
+    "    l2reg_beta=0.0, \n",
+    "    l2reg_theta_scale=0.0, \n",
+    "    huber_delta=1.0,\n",
+    "):\n",
+    "    N = 0\n",
+    "    huber_result = 0.0\n",
+    "    beta_ridge_penalty = 0.0\n",
+    "    \n",
+    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
+    "\n",
+    "        yd = data[\"y\"][d]\n",
+    "        βd = params[\"β\"][d]\n",
+    "        N_d = yd.shape[0]\n",
+    "        wd = condition_weights[d] * data[\"w\"][d]\n",
+    "\n",
+    "        huber_result += (\n",
+    "            wd * jaxopt.loss.huber_loss(yd, yd_pred, delta=huber_delta)\n",
+    "        ).mean()\n",
+    "\n",
+    "        beta_ridge_penalty += l2reg_beta * (βd**2).sum()\n",
+    "\n",
+    "        N += N_d\n",
+    "\n",
+    "    D = len(data[\"X\"]) \n",
+    "\n",
+    "    huber_result /= D\n",
+    "    beta_ridge_penalty /= N\n",
+    "    conditional_loss = huber_result + beta_ridge_penalty\n",
+    "\n",
+    "    θ = params[\"θ\"]\n",
+    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
+    "\n",
+    "    return conditional_loss + theta_penalty"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "$$\n",
+    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{D} \\sum_{d=1}^D \\left(\\frac{1}{N_d} \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x))\\right) + \\lambda\\|\\beta\\|^2_2\n",
+    "$$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@jax.jit\n",
+    "def condition_normalized_sum_penalty_loss(\n",
+    "    params, \n",
+    "    data, \n",
+    "    condition_weights, \n",
+    "    l2reg_beta=0.0, \n",
+    "    l2reg_theta_scale=0.0, \n",
+    "    huber_delta=1.0,\n",
+    "):\n",
+    "    huber_result = 0.0\n",
+    "    beta_ridge_penalty = 0.0\n",
+    "    \n",
+    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
+    "\n",
+    "        yd = data[\"y\"][d]\n",
+    "        βd = params[\"β\"][d]\n",
+    "        N_d = yd.shape[0]\n",
+    "        wd = condition_weights[d] * data[\"w\"][d]\n",
+    "\n",
+    "        huber_result += (\n",
+    "            wd * jaxopt.loss.huber_loss(\n",
+    "                yd, \n",
+    "                yd_pred, \n",
+    "                delta=huber_delta\n",
+    "            )\n",
+    "        ).mean()\n",
+    "\n",
+    "        beta_ridge_penalty += l2reg_beta * (βd**2).sum()\n",
+    "\n",
+    "    D = len(data[\"X\"]) \n",
+    "    huber_result /= D\n",
+    "    conditional_loss = huber_result + beta_ridge_penalty\n",
+    "\n",
+    "    θ = params[\"θ\"]\n",
+    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
+    "\n",
+    "    return conditional_loss + theta_penalty"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "$$\n",
+    "\\min_{\\beta_0,\\beta,\\theta} \\sum_{d=1}^D \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x)) + \\lambda\\|\\beta\\|^2_2\n",
+    "$$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@jax.jit\n",
+    "def sum_penalty_loss(\n",
+    "    params, \n",
+    "    data, \n",
+    "    condition_weights, \n",
+    "    l2reg_beta=0.0, \n",
+    "    l2reg_theta_scale=0.0, \n",
+    "    huber_delta=1.0,\n",
+    "):\n",
+    "    huber_result = 0.0\n",
+    "    beta_ridge_penalty = 0.0\n",
+    "    \n",
+    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
+    "\n",
+    "        yd = data[\"y\"][d]\n",
+    "        βd = params[\"β\"][d]\n",
+    "        N_d = yd.shape[0]\n",
+    "        wd = condition_weights[d] * data[\"w\"][d]\n",
+    "\n",
+    "        huber_result += (\n",
+    "            wd * jaxopt.loss.huber_loss(\n",
+    "                yd, \n",
+    "                yd_pred, \n",
+    "                delta=huber_delta\n",
+    "            )\n",
+    "        ).sum()\n",
+    "\n",
+    "        beta_ridge_penalty += l2reg_beta * (βd**2).sum()\n",
+    "\n",
+    "    conditional_loss = huber_result + beta_ridge_penalty\n",
+    "\n",
+    "    θ = params[\"θ\"]\n",
+    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
+    "\n",
+    "    return conditional_loss + theta_penalty"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "smooth_obj_fn_dict = {\n",
+    "    \"all_sample_norm\" : all_sample_normalized_loss,\n",
+    "    \"cond_norm_penalty\": condition_normalized_penalty_loss,\n",
+    "    \"cond_norm_equal_penalty\": condition_normalized_equal_penalty_loss,\n",
+    "    \"cond_norm_sum_penalty\": condition_normalized_sum_penalty_loss,\n",
+    "    \"sum_penalty\": sum_penalty_loss\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from functools import partial\n",
+    "from jax.tree_util import Partial\n",
+    "smooth_objective = jax.jit(smooth_obj_fn_dict[smooth_obj_fn])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Data scale adjustments\n",
+    "\n",
+    "To appropriately scale regression parameters, we need condition-specific 1-hot encodings, each wrt the WT in that condition. We get this by bit flipping the \"bundle\" sites in all conditions.\n",
+    "Now each condition has data referenced to its own WT."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Delta\n",
+      "Omicron_BA1\n",
+      "Omicron_BA2\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'X': {'Delta': BCOO(int8[26743, 10722], nse=78045),\n",
+       "  'Omicron_BA1': BCOO(int8[53209, 10722], nse=137253),\n",
+       "  'Omicron_BA2': BCOO(int8[51122, 10722], nse=158121)},\n",
+       " 'y': {'Delta': Array([ 0.        , -1.46217618,  0.10072214, ..., -0.95950872,\n",
+       "         -3.0166309 , -3.39281081], dtype=float64),\n",
+       "  'Omicron_BA1': Array([ 0.        , -0.1441993 ,  0.15470144, ..., -3.5       ,\n",
+       "         -3.5       , -3.5       ], dtype=float64),\n",
+       "  'Omicron_BA2': Array([ 0.        , -0.04110356, -0.62651354, ..., -3.3366282 ,\n",
+       "         -3.5       , -3.5       ], dtype=float64)},\n",
+       " 'w': {'Delta': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
+       "  'Omicron_BA1': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
+       "  'Omicron_BA2': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64)}}"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def rereference(X, cols):\n",
+    "    \"\"\"Flip bits on columns (bool idxs)\"\"\"\n",
+    "    if cols.sum():\n",
+    "        X_scipy = scipy.sparse.csr_matrix((X.data, (X.indices[:, 0], X.indices[:, 1])), shape=X.shape).tolil()\n",
+    "        tmp = X_scipy[: , cols].copy()\n",
+    "        X_scipy[: , cols] = 1\n",
+    "        X_scipy[: , cols] -= tmp\n",
+    "        X_scaled = jax.experimental.sparse.BCOO.from_scipy_sparse(X_scipy)\n",
+    "        X_scaled = jax.experimental.sparse.BCOO((X_scaled.data.astype(jnp.int8), X_scaled.indices), shape=X.shape)\n",
+    "\n",
+    "        assert (X[:, cols].sum(0).todense() + X_scaled[:, cols].sum(0).todense() == X.shape[0]).all()\n",
+    "\n",
+    "    else:\n",
+    "        X_scaled = X\n",
+    "\n",
+    "    return X_scaled\n",
+    "\n",
+    "\n",
+    "scaled_data = {\"X\": {}, \"y\": data.training_data[\"y\"], \"w\": data.training_data[\"w\"]}\n",
+    "\n",
+    "bundle_idxs = {}\n",
+    "bundle_signs = {}\n",
+    "\n",
+    "for d in data.training_data[\"X\"]:\n",
+    "    print(d)\n",
+    "    bundle_idxs[d] = data.training_data[\"X\"][d].sum(0).todense() / data.training_data[\"X\"][d].shape[0] > 0.5\n",
+    "    bundle_signs[d] = jnp.where(bundle_idxs[d], -1, 1)\n",
+    "\n",
+    "    scaled_data[\"X\"][d] = rereference(data.training_data[\"X\"][d], bundle_idxs[d])\n",
+    "\n",
+    "scaled_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array([False, False, False, ..., False, False, False], dtype=bool)"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bundle_idxs[\"Omicron_BA1\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Plot the distribution of row-sums of $X$ in the rescaled data. Much nicer!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(4, 3))\n",
+    "for d in data.conditions:\n",
+    "    Xd = scaled_data[\"X\"][d]\n",
+    "    yd = scaled_data[\"y\"][d]\n",
+    "    sns.histplot(Xd.sum(1).todense(), bins=np.linspace(0, 50, 50), label=d, element=\"step\", alpha=0.1)\n",
+    "    plt.legend()\n",
+    "    plt.xlabel(\"Number of substitution wrt homolog-wise WT\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Parameter transformation\n",
+    "\n",
+    "Consider just one condition, so that we suppress the index $d$ below for simplicity.\n",
+    "Let $\\mathcal{B}$ be the set of indices of the columns of $X$ corresponding to the bundle. We want to work with rescaled data $1-x_m$ at sites $m\\in\\mathcal{B}$ in the bundle, and $x_m$ at sites $m\\notin\\mathcal{B}$ not in the bundle. Let $\\tilde\\beta_0$ and $\\tilde\\beta_m$ be the intercept and coefficients in the rescaled problem, and $\\beta_0$ and $\\beta_m$ be the intercept and coefficients in the original data. The equivalence of latent phenotype predictions between scales requires\n",
+    "$$\n",
+    "\\tilde\\beta_0 + \\sum_{m\\notin\\mathcal{B}}\\tilde\\beta_m x_m + \\sum_{m\\in\\mathcal{B}}\\tilde\\beta_m(1 - x_m) = \\beta_0 + \\sum_m\\beta_m x_m.\n",
+    "$$\n",
+    "Matching like terms, we find\n",
+    "$$\n",
+    "\\beta_0 = \\tilde\\beta_0 + \\sum_{m\\in\\mathcal{B}}\\tilde\\beta_m = \\tilde\\beta_0 - \\sum_{m\\in\\mathcal{B}}\\beta_m,\n",
+    "$$\n",
+    "and\n",
+    "$$\n",
+    "\\beta_m =\n",
+    "\\begin{cases}\n",
+    "\\tilde\\beta_m, & m\\notin\\mathcal{B} \\\\\n",
+    "-\\tilde\\beta_m, & m\\in\\mathcal{B}\n",
+    "\\end{cases}.\n",
+    "$$\n",
+    "Note that $\\tilde\\beta_m^{\\mathrm{ref}} = \\beta_m^{\\mathrm{ref}}$, since $\\mathcal{B}^{\\mathrm{ref}}=\\emptyset$.\n",
+    "Note also that the transform operation is its own inverse."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def transform(params, bundle_idxs):\n",
+    "    params_transformed = {key: val.copy() for key, val in params.items() if key not in [\"β\", \"β0\"]}\n",
+    "    params_transformed[\"β\"] = {}\n",
+    "    params_transformed[\"β0\"] = {}\n",
+    "    for d in params[\"β\"]:\n",
+    "        params_transformed[\"β\"][d] = params[\"β\"][d].at[bundle_idxs[d]].mul(-1)\n",
+    "        params_transformed[\"β0\"][d] = params[\"β0\"][d] + params[\"β\"][d][bundle_idxs[d]].sum()\n",
+    "    return params_transformed"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Reference-experiment equivariance during optimization\n",
+    "\n",
+    "We currently choose a reference experiment *a priori* and penalize only the differences between each non-reference experiment and the reference experiment.\n",
+    "For this section, consider one mutation, so we suppress the index $m$ below for simplicity.\n",
+    "Our mutation effects across conditions are the vector $β\\in\\mathbb{R}^D$, and our shift penalty is\n",
+    "$$\n",
+    "\\lambda\\|\\Delta\\|_1 = \\lambda\\|\\mathfrak{D} β\\|_1,\n",
+    "$$\n",
+    "where, assuming $d=1$ is the reference experiment and $D=3$, we use the difference matrix\n",
+    "$$\n",
+    "\\mathfrak{D} = \n",
+    "\\begin{bmatrix}\n",
+    "0 & 0 & 0\\\\\n",
+    "-1 & 1 & 0\\\\\n",
+    "-1 & 0 & 1\n",
+    "\\end{bmatrix}.\n",
+    "$$\n",
+    "The row of zeros captures the fact that we don't penalize shifts between non-reference experiments.\n",
+    "This lack of symmetry limits the potential sparsity structure of the model.\n",
+    "For example, it's not possible for two non-reference experiments to have the same mutation effect that is different from the reference experiment.\n",
+    "If an epistatic interaction has arisen only on the branch leading to the reference experiment, we can't discover that shift pattern.\n",
+    "\n",
+    "This boils down to \n",
+    "\n",
+    "$$\n",
+    "\\mathfrak{D}\\beta=\\begin{bmatrix}\n",
+    "0\\\\\n",
+    "\\beta_2-\\beta_1\\\\\n",
+    "\\beta_3-\\beta_1\n",
+    "\\end{bmatrix},\n",
+    "$$\n",
+    "\n",
+    "For example, If $\\beta = [2, 1, 2]^T$ then $\\mathfrak{D}\\beta=[0, -1, 0]^T$.\n",
+    "\n",
+    "It would be more natural to infer a reference-equivariant model that fuses across all conditions symmetrically, after which an *a posteriori* choice of reference experiment can be made for mutation effect interpretation.\n",
+    "We would use the difference matrix\n",
+    "$$\n",
+    "\\mathfrak{D} = \n",
+    "\\begin{bmatrix}\n",
+    "0 & -1 & 1\\\\\n",
+    "-1 & 1 & 0\\\\\n",
+    "-1 & 0 & 1\n",
+    "\\end{bmatrix},\n",
+    "$$\n",
+    "where all shifts are penalized symmetrically. Then, \n",
+    "\n",
+    "$$\n",
+    "\\mathfrak{D}\\beta=\\begin{bmatrix}\n",
+    "\\beta_3-\\beta_2\\\\\n",
+    "\\beta_2-\\beta_1\\\\\n",
+    "\\beta_3-\\beta_1\n",
+    "\\end{bmatrix},\n",
+    "$$\n",
+    "\n",
+    "For example, If $\\beta = [2, 1, 2]^T$ then $\\mathfrak{D}\\beta=[1, -1, 0]^T$.\n",
+    "\n",
+    "Finally, we can combine this with the parameter transformation above by specifying $\\tilde{\\mathfrak{D}}$ such that $\\tilde{\\mathfrak{D}}\\tilde\\beta = \\mathfrak{D}\\beta$.\n",
+    "This is achieved by setting $\\tilde{\\mathfrak{D}} = \\mathfrak{D}(I - 2\\mathrm{diag}(B))$, where $B$ is the 1-hot encoding of the bundleness across conditions at this site.\n",
+    "The diagonal matrix $(I - 2\\mathrm{diag}(B))$ has -1s for conditions for which the site is in the bundle, and 1s for conditions for which the site is not in the bundle."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ADMM approach\n",
+    "\n",
+    "We next derive the proximal operator for the symmetric fusion problem, using standard augmented Lagrangian methods (see citations below).\n",
+    "This is a special case of the generalized lasso.\n",
+    "Our penalized problem is\n",
+    "$$\n",
+    "\\min_{\\beta} f(\\beta) + \\lambda\\|\\mathfrak{D}\\beta\\|_1,\n",
+    "$$\n",
+    "where $f$ is the smooth piece of the objective.\n",
+    "To use FISTA, we'll need the gradient $\\nabla f$ and the proximal operator $\\mathrm{prox}_{\\lambda}$, defined as\n",
+    "$$\n",
+    "\\mathrm{prox}_{\\lambda}(x) = \\arg\\min_{y}\\frac{1}{2}\\|x - y\\|_2^2 + \\lambda\\|\\mathfrak{D}y\\|_1,\n",
+    "$$\n",
+    "which is equivalent to the constrained problem\n",
+    "$$\n",
+    "\\mathrm{prox}_{\\lambda}(x) = \\arg\\min_{y, z}\\frac{1}{2}\\|x - y\\|_2^2 + \\lambda\\|z\\|_1 \\quad \\text{s.t.} \\quad \\mathfrak{D}y - z = 0.\n",
+    "$$\n",
+    "This can be evaluated by ADMM iterations with dual variable $u$:\n",
+    "$$\n",
+    "\\begin{aligned}\n",
+    "y^{(k+1)} &= (I + \\rho \\mathfrak{D}^\\intercal \\mathfrak{D})^{-1}(x + \\rho \\mathfrak{D}^\\intercal(z^{(k)} - u^{(k)}))\\\\\n",
+    "z^{(k+1)} &= S_{\\lambda/\\rho}(\\mathfrak{D}y^{(k+1)} + u^{(k)})\\\\\n",
+    "u^{(k+1)} &= u^{(k)} + \\mathfrak{D}y^{(k+1)} - z^{(k+1)},\n",
+    "\\end{aligned}\n",
+    "$$\n",
+    "where $S_{\\lambda/\\rho}$ is the soft-thresholding operator and $\\rho>0$ is the ADMM step-size.\n",
+    "These iterations rapidly converge in terms of the primal and dual residuals:\n",
+    "$$\n",
+    "\\begin{aligned}\n",
+    "\\text{primal residual} &= \\|\\mathfrak{D}y^{(k+1)} - z^{(k+1)}\\|_2\\\\\n",
+    "\\text{dual residual} &= \\rho\\|D^\\intercal(z^{(k+1)} - z^{(k)})\\|_2.\n",
+    "\\end{aligned}\n",
+    "$$\n",
+    "\n",
+    "To parallelize across all mutations, we simply stack in the column dimensions of $y, z, u$. Thus, we have the proximal operator necessary for the general lasso penalized model.\n",
+    "\n",
+    "See:\n",
+    "- [Boyd et al.](https://web.stanford.edu/~boyd/papers/pdf/admm_distr_stats.pdf) for the generalized lasso problem (see $\\S6.4.1$).\n",
+    "- [Tibshirani](https://www.stat.cmu.edu/~ryantibs/convexopt-F15/lectures/21-dual-meth.pdf), slide 21\n",
+    "- [Tibshirani and Taylor](https://www.stat.cmu.edu/~ryantibs/papers/genlasso.pdf) for a treatment of the solution path.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<!-- ### Conjecture\n",
+    "\n",
+    "We can avoid ADMM and instead use direct soft-thresholding. Introduce auxiliary variable $\\bar\\beta\\in\\mathbb{R}$ (loosely interpretable as a condition averaged effect) and use the simple lasso penalty $\\lambda\\|\\beta - \\bar\\beta 1_D\\|$, for which\n",
+    "\n",
+    "$$\n",
+    "\\mathrm{prox}_{\\lambda}(\\beta) = \\bar\\beta 1_D + S_\\lambda(\\beta_d - \\bar\\beta 1_D)\n",
+    "$$\n",
+    "\n",
+    "This is probably mathematically equivalent to the problem above with the general ADMM hammer. Even if it's somehow not, it is at least morally equivalent. 😃  -->\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array([[ 0.,  0.,  0.],\n",
+       "       [-1.,  1.,  0.],\n",
+       "       [-1.,  0.,  1.]], dtype=float64)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "if equivariant:\n",
+    "    # uncomment this one to apply the equivariant shift penalty\n",
+    "    D = jnp.array([\n",
+    "        [1, -1, 0],\n",
+    "        [0, 1, -1],\n",
+    "        [-1, 0, 1],\n",
+    "    ], dtype=jnp.float64)\n",
+    "else:\n",
+    "    # apply shift penalties wrt to the reference condition only\n",
+    "    D = jnp.eye(3, 3).at[:, ref_condition_idx].set(-1).at[ref_condition_idx].set(0)\n",
+    "\n",
+    "D"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array([[ 1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1],\n",
+       "       [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],\n",
+       "       [ 1,  1, -1, -1, -1,  1,  1,  1,  1, -1, -1, -1, -1, -1]],      dtype=int64, weak_type=True)"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bundle_sign_matrix = jnp.vstack([bundle_signs[d] for d in data.conditions])\n",
+    "# E.g.\n",
+    "bundle_sign_matrix[:, bundle_idxs[\"Omicron_BA2\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 10722)"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bundle_sign_matrix.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<32166x32166 sparse matrix of type '<class 'numpy.float64'>'\n",
+       "\twith 96498 stored elements in COOrdinate format>"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "D_block_diag = scipy.sparse.block_diag([jnp.array(D) @ jnp.diag(bundle_sign_matrix[:, col]) for col in range(len(data.mutations))])\n",
+    "D_block_diag"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<32166x32166 LinearOperator with dtype=float64>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#pylops.FirstDerivative(shape, edge=True, kind='backward')\n",
+    "Dop = pylops.LinearOperator(Op=scipy.sparse.linalg.aslinearoperator(D_block_diag), dtype=D.dtype, shape=D_block_diag.shape) \n",
+    "Dop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.0000000000000018"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "eig = np.real((Dop.H * Dop).eigs(neigs=1, which='LM')[0])\n",
+    "eig"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Prox on scaled parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# @jax.jit\n",
+    "def prox(params, hyperparameters, scaling=1.0):\n",
+    "    # see https://pyproximal.readthedocs.io/en/stable/index.html\n",
+    "    λ, niter, τ, μ, theta_scale_upper_bound, lock_params = hyperparameters\n",
+    "    # λ, niter, τ, μ = hyperparameters\n",
+    "    assert 0 < μ < τ / eig\n",
+    "    # params[\"γ\"][ref_condition] = 0.0\n",
+    "\n",
+    "    # apply prox\n",
+    "    β_ravel = jnp.vstack(params[\"β\"].values()).ravel(order=\"F\")\n",
+    "\n",
+    "    β_ravel, Δ_ravel = pyproximal.optimization.primal.LinearizedADMM(\n",
+    "        pyproximal.L2(b=β_ravel), pyproximal.L1(sigma=scaling * λ), Dop,\n",
+    "        niter=niter, tau=τ, mu=μ,\n",
+    "        x0=β_ravel,\n",
+    "        show=False\n",
+    "        )\n",
+    "\n",
+    "    β = β_ravel.reshape(-1, len(β_ravel) // 3, order=\"F\")\n",
+    "    Δ = Δ_ravel.reshape(-1, len(Δ_ravel) // 3, order=\"F\")\n",
+    "\n",
+    "    # update β dict\n",
+    "    for i, d in enumerate(params[\"β\"]):\n",
+    "        params[\"β\"][d] = β[i]\n",
+    "\n",
+    "    # update shifts\n",
+    "    params[\"Δ\"] = Δ\n",
+    "    # should the following two conditions be within the transform?\n",
+    "    # I'm pretty sure it doesn't matter since the the post latent\n",
+    "    # stuff doesn't interfere with the beta's transformation. \n",
+    "    # \n",
+    "    # Though I do wonder if the beta's should be transformed before\n",
+    "    # beting passed to the predictive function? HMM?    \n",
+    "    # clamp theta scale to monotonic, and with optional upper bound\n",
+    "    params[\"θ\"][\"theta_scale\"] = params[\"θ\"][\"theta_scale\"].clip(\n",
+    "            # 0, theta_scale_upper_bound\n",
+    "            0, theta_scale_upper_bound\n",
+    "    )\n",
+    "    # Any params to constrain during fit\n",
+    "    if lock_params is not None:\n",
+    "        for key, value in lock_params.items():\n",
+    "            params[key] = value\n",
+    "\n",
+    "\n",
+    "    # clamp β0 for reference condition in non-scaled parameterization (where it's a box constraint)\n",
+    "    params = transform(params, bundle_idxs)\n",
+    "    params[\"β0\"][ref_condition] = 0.0\n",
+    "\n",
+    "            \n",
+    "    params = transform(params, bundle_idxs)\n",
+    "\n",
+    "    return params\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@jax.jit\n",
+    "def total_objective(params, data, condition_weights, l2reg_beta=0.0, l2reg_theta_scale=0.0, l1reg=0.0, huber_delta=1.0):\n",
+    "    result = smooth_objective(\n",
+    "        params, \n",
+    "        data, \n",
+    "        condition_weights, \n",
+    "        l2reg_beta=l2reg_beta,\n",
+    "        l2reg_theta_scale=l2reg_theta_scale,\n",
+    "        huber_delta=huber_delta\n",
+    "    )\n",
+    "    result += l1reg * jnp.abs(params[\"Δ\"]).sum()\n",
+    "    return result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sigmoid_params = {\"theta_scale\": jnp.array([theta_scale]), \"theta_bias\": jnp.array([theta_bias])}\n",
+    "\n",
+    "key = jax.random.PRNGKey(23)\n",
+    "params0 = dict(\n",
+    "    # β={d: jnp.zeros(len(data.mutations)) for d in data.conditions},\n",
+    "    β={\n",
+    "        d: (jax.random.normal(shape=(len(data.mutations),), key=k) \n",
+    "        if init_beta_normal else jnp.zeros(len(data.mutations))) \n",
+    "        for d,k in zip(data.conditions, jax.random.split(key, len(data.conditions)))\n",
+    "    },\n",
+    "    β0={d: jnp.array(0.0) for d in data.conditions},\n",
+    "    θ=sigmoid_params\n",
+    "    )\n",
+    "\n",
+    "params0[\"Δ\"] = jnp.zeros((len(data.conditions), len(data.mutations)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Omicron_BA1': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
+       " 'Omicron_BA2': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
+       " 'Delta': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64)}"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "params0[\"β\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'θ': {'theta_scale': Array([6.], dtype=float64),\n",
+       "  'theta_bias': Array([-3.5], dtype=float64)},\n",
+       " 'Δ': array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]),\n",
+       " 'theta_scale': Array([6.], dtype=float64),\n",
+       " 'theta_bias': Array([-3.5], dtype=float64),\n",
+       " 'β': {'Omicron_BA1': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
+       "  'Omicron_BA2': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
+       "  'Delta': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64)},\n",
+       " 'β0': {'Omicron_BA1': Array(0., dtype=float64),\n",
+       "  'Omicron_BA2': Array(0., dtype=float64),\n",
+       "  'Delta': Array(0., dtype=float64)}}"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lock_params = sigmoid_params\n",
+    "prox(params0, (1e-6, 100, 1.0, .99 / eig, theta_scale_upper_bound, lock_params), scaling=1.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'theta_bias': Array([0.], dtype=float64),\n",
+       " 'theta_scale': Array([0.], dtype=float64),\n",
+       " 'Δ': Array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]], dtype=float64),\n",
+       " 'β': {'Delta': Array([ 1.74189748e-05,  1.86964813e-04,  9.34824066e-05, ...,\n",
+       "         -2.55936840e-05, -2.03461193e-06,  7.87875798e-06], dtype=float64),\n",
+       "  'Omicron_BA1': Array([ 0.00000000e+00,  3.75876262e-05,  0.00000000e+00, ...,\n",
+       "         -2.03543055e-04,  6.85823920e-05,  0.00000000e+00], dtype=float64),\n",
+       "  'Omicron_BA2': Array([ 0.00000000e+00,  7.82442001e-05,  0.00000000e+00, ...,\n",
+       "         -6.22198148e-06,  9.18777813e-05,  0.00000000e+00], dtype=float64)},\n",
+       " 'β0': {'Delta': Array(0.09698376, dtype=float64, weak_type=True),\n",
+       "  'Omicron_BA1': Array(0.15599917, dtype=float64, weak_type=True),\n",
+       "  'Omicron_BA2': Array(0.20793943, dtype=float64, weak_type=True)},\n",
+       " 'θ': {'theta_bias': Array([0.30728158], dtype=float64),\n",
+       "  'theta_scale': Array([0.15364079], dtype=float64)}}"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jax.grad(smooth_objective)(params0, scaled_data, {d: 1.0 for d in scaled_data[\"X\"]})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array(0.91224991, dtype=float64)"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_objective(params0, scaled_data, {d: 1.0 for d in scaled_data[\"X\"]})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solver = jaxopt.ProximalGradient(\n",
+    "    smooth_objective,\n",
+    "    prox,\n",
+    "    # tol=1e-8,\n",
+    "    # maxiter=10000,\n",
+    "    acceleration=True,\n",
+    "    # stepsize=1e-1,\n",
+    "    maxls=30,\n",
+    "    # decrease_factor=0.8,\n",
+    "    jit=False,\n",
+    "    # verbose=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "l1reg = lasso_coeff\n",
+    "theta_scale_upper_bound = theta_scale_upper_bound\n",
+    "l2reg_beta = l2reg_beta\n",
+    "l2reg_theta_scale = l2reg_theta_scale"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "admm_niter = 50\n",
+    "admm_τ = 1.0\n",
+    "admm_μ = 0.99 * admm_τ / eig\n",
+    "hyperparameters_prox = l1reg, admm_niter, admm_τ, admm_μ, theta_scale_upper_bound, lock_params\n",
+    "condition_weights = {\"Omicron_BA1\": 1.0, \"Omicron_BA2\": 1.0, \"Delta\": 1.0}\n",
+    "huber_delta =1.0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "iter = []\n",
+    "stepsize = []\n",
+    "obj = []\n",
+    "error = []\n",
+    "sparsity = []\n",
+    "duality_gap = []\n",
+    "\n",
+    "params = params0\n",
+    "\n",
+    "state = solver.init_state(\n",
+    "    params,\n",
+    "    hyperparameters_prox,\n",
+    "    l2reg_beta=l2reg_beta,\n",
+    "    l2reg_theta_scale=l2reg_theta_scale,\n",
+    "    condition_weights=condition_weights,\n",
+    "    data=scaled_data,\n",
+    "    huber_delta=huber_delta,\n",
+    "    )\n",
+    "\n",
+    "# update = jax.jit(solver.update)\n",
+    "update = solver.update\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Iteration 10, objective=7.98e-01, stepsize=2.00e+00, error=5.49e-02, shift sparsity = [1.00 0.82 0.83], duality gap = 1.47e-13\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "for _ in range(warmup_iterations):\n",
+    "    params, state = update(\n",
+    "        params, state,\n",
+    "        hyperparameters_prox,\n",
+    "        l2reg_beta=l2reg_beta,\n",
+    "        l2reg_theta_scale=l2reg_theta_scale,\n",
+    "        condition_weights=condition_weights,\n",
+    "        data=scaled_data,\n",
+    "        huber_delta=huber_delta\n",
+    "        )\n",
+    "    iter.append(int(state.iter_num))\n",
+    "    stepsize.append(float(state.stepsize))\n",
+    "    obj.append(float(total_objective(params, scaled_data, condition_weights, l2reg_beta=l2reg_beta, l2reg_theta_scale=l2reg_theta_scale, l1reg=l1reg, huber_delta=huber_delta)))\n",
+    "    error.append(float(state.error))\n",
+    "    # params_unscaled = transform(params, bundle_idxs)\n",
+    "    sparsity.append((params[\"Δ\"] == 0).mean(1))\n",
+    "    β_ravel = jnp.vstack(params[\"β\"].values()).ravel(order=\"F\")\n",
+    "    Δ_ravel = params[\"Δ\"].ravel(order=\"F\")\n",
+    "    duality_gap.append(jnp.sqrt(((Δ_ravel - D_block_diag @ β_ravel))**2).reshape(-1, len(β_ravel) // 3, order=\"F\").sum(0).mean())\n",
+    "    if state.iter_num % 10 == 0:\n",
+    "        with np.printoptions(precision=2, floatmode=\"fixed\"):\n",
+    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not lock_sigmoid_params:\n",
+    "    hyperparameters_prox = l1reg, admm_niter, admm_τ, admm_μ, theta_scale_upper_bound, None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Iteration 20, objective=7.84e-01, stepsize=4.00e+00, error=3.89e-02, shift sparsity = [1.00 0.83 0.83], duality gap = 3.08e-13\n",
+      "Iteration 30, objective=7.59e-01, stepsize=2.00e+00, error=1.43e-01, shift sparsity = [1.00 0.81 0.81], duality gap = 1.54e-13\n",
+      "Iteration 40, objective=7.25e-01, stepsize=2.00e+00, error=1.38e-01, shift sparsity = [1.00 0.77 0.77], duality gap = 1.55e-13\n",
+      "Iteration 50, objective=6.84e-01, stepsize=2.00e+00, error=1.49e-01, shift sparsity = [1.00 0.73 0.73], duality gap = 1.57e-13\n",
+      "Iteration 60, objective=6.40e-01, stepsize=4.00e+00, error=7.37e-02, shift sparsity = [1.00 0.69 0.69], duality gap = 2.71e-13\n",
+      "Iteration 70, objective=6.11e-01, stepsize=2.00e+00, error=1.40e-01, shift sparsity = [1.00 0.65 0.68], duality gap = 1.66e-13\n",
+      "Iteration 80, objective=5.81e-01, stepsize=4.00e+00, error=8.27e-02, shift sparsity = [1.00 0.67 0.68], duality gap = 2.73e-13\n",
+      "Iteration 90, objective=5.55e-01, stepsize=2.00e+00, error=1.60e-01, shift sparsity = [1.00 0.67 0.68], duality gap = 2.04e-13\n",
+      "Iteration 100, objective=5.32e-01, stepsize=1.00e+00, error=3.15e-01, shift sparsity = [1.00 0.67 0.67], duality gap = 2.09e-12\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "for _ in range(max_total_iterations - warmup_iterations):\n",
+    "    params, state = update(\n",
+    "        params, state,\n",
+    "        hyperparameters_prox,\n",
+    "        l2reg_beta=l2reg_beta,\n",
+    "        l2reg_theta_scale=l2reg_theta_scale,\n",
+    "        condition_weights=condition_weights,\n",
+    "        data=scaled_data,\n",
+    "        huber_delta=huber_delta\n",
+    "        )\n",
+    "    iter.append(int(state.iter_num))\n",
+    "    stepsize.append(float(state.stepsize))\n",
+    "    obj.append(float(total_objective(params, scaled_data, condition_weights, l2reg_beta=l2reg_beta, l2reg_theta_scale=l2reg_theta_scale, l1reg=l1reg, huber_delta=huber_delta)))\n",
+    "    error.append(float(state.error))\n",
+    "    # params_unscaled = transform(params, bundle_idxs)\n",
+    "    sparsity.append((params[\"Δ\"] == 0).mean(1))\n",
+    "    β_ravel = jnp.vstack(params[\"β\"].values()).ravel(order=\"F\")\n",
+    "    Δ_ravel = params[\"Δ\"].ravel(order=\"F\")\n",
+    "    duality_gap.append(jnp.sqrt(((Δ_ravel - D_block_diag @ β_ravel))**2).reshape(-1, len(β_ravel) // 3, order=\"F\").sum(0).mean())\n",
+    "    if state.iter_num % 10 == 0:\n",
+    "        with np.printoptions(precision=2, floatmode=\"fixed\"):\n",
+    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")\n",
+    "    # if state.error < 1e-4:\n",
+    "    if state.error < error_tolerance:\n",
+    "        print(f\"\\n##############\\nCONVERGED!\\n##############\\n\")\n",
+    "        with np.printoptions(precision=2, floatmode=\"fixed\"):\n",
+    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")\n",
+    "        break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle\n",
+    "pickle.dump(params, open(f\"{output_dir}/params.pkl\", \"wb\"))\n",
+    "# dump state object\n",
+    "pickle.dump(state, open(f\"{output_dir}/state.pkl\", \"wb\"))\n",
+    "# dump data object\n",
+    "pickle.dump(data, open(f\"{output_dir}/data.pkl\", \"wb\"))\n",
+    "# dump D\n",
+    "pickle.dump(D, open(f\"{output_dir}/D.pkl\", \"wb\"))\n",
+    "# dump Objective \n",
+    "pickle.dump(obj, open(f\"{output_dir}/obj.pkl\", \"wb\"))\n",
+    "# dump Error\n",
+    "pickle.dump(error, open(f\"{output_dir}/error.pkl\", \"wb\"))\n",
+    "# dump Sparsity\n",
+    "pickle.dump(sparsity, open(f\"{output_dir}/sparsity.pkl\", \"wb\"))\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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1a0a/fv144oknbG1iYmKYO3cuy5cv56233uLo0aP07duXnJyc89YyefJksrKybK8TJ05c1DGJiIhI3VDpS2Dbtm1j69atfPTRR0yYMIFx48Zx6623cuedd9K9e/fqqNFm1apVTJs2jTfffJOYmBgOHTrEhAkTeO6553j66acBuOaaa2ztO3bsSExMDI0bN+aLL77grrvuKrdfV1dXXF1dq7V2KV+ppZTTuac5ln2Mo1lHOZZ9jKS8JDycPPB19cXHxQdfV1/83fwJdg8myCOIYI9gfFx8bPsXmgspMhdRaikt07fRYCTQPRCjwe5z/UVEpJa5qDlAnTt3pnPnzrzyyit89913fPTRR/Tu3ZvWrVtz1113cccdd+Dr63vBPgIDAzGZTCQnJ5fZnpycfN75O08//TS33347d999NwAdOnQgLy+Pe++9lyeffBKj8dwfOj8/P1q2bMmhQ4cu5lClgrKKsjiadZSkvCRO550mMTeRpPwk3ExuZ0OLezDBHsG4OrlyNOsoB88c5HDmYY5kHaHEUlLp73MyOGHBgsVquWC7ALcAYsJi6BnWk57hPQn1rPjcMBERqb8uaRK01WqlpKSE4uJirFYr/v7+vPHGGzz99NO89957DBs27Lz7uri40LVrV+Lj47n++usBsFgsxMfHc//995e7T35+/jkhx2Qy2WopT25uLocPH+b222+/iCOU8mQVZbE5eTN7M/ayL2Mf+zP2k5iXeNH9uZpcaeTTiCifKKJ8oojwiqDQXEh2UTZZxVlkF2WTUZhBSkEKKfkpZBVlUWotPacfJ4MTGP773mK1kFGYwQ9Hf+CHoz8A0Mq/FQ90eYC+EX0xGAzn9CEiIo7hogLQ5s2b+eijj5g/fz6urq6MHDmSOXPm0Lx5cwBmz57NAw88cMEABDBx4kRGjRpFt27d6NGjB7NmzSIvL892V9jIkSOJiIhg+vTpAAwePJiZM2fSuXNn2yWwp59+msGDB9uC0COPPMLgwYNp3Lgxp0+fZurUqZhMJoYPH34xh1orWa1Wfjz+Ix5OHvQM64mzybnC+2YXZ7MrdRfbU7ezPW07u9J2EeQexBMxT9A9tPxLmCWWEnam7mTt6bWsS1zHrrRd5Y68hHqGEu4ZTrhXOGGeYYR4hFBsKSY1P5WUghRS81PJK8mjsU9jWvi3oJlvM5r7NyfCK6JSl6mKzEWcKTyDyWDC1ckVV5MrLkaXcwJNibmEHWk7WHt6LX+c/oNd6bvYf2Y/4+LH0TuiN491e4ymfk0r/L0iIlJ/GKznGzo5jw4dOrBv3z4GDBjAPffcUyZ8/CktLY3g4GAslgtfngB44403mDFjBklJSXTq1InXX3+dmJgYAPr160dUVBRz584FoLS0lBdeeIFPPvmEU6dOERQUxODBg3nhhRfw8/MD4NZbb+XXX38lPT2doKAg+vTpwwsvvECzZs0qfIzZ2dn4+vqSlZWFj49PhferKcuOLOPx3x4HwNvFm6sir2Jgk4H0CO1BYl4ih84c4lDmIQ5nHia1INU2ipJdnE1BacF5+x3WahgTu07Ew9kDgJziHBYdWMSnez8lJT+lTNsmvk3oFNSJVgGtaOXfipYBLW3zcmqrzMJMPtz9IZ/s+YRSSykmg4nhrYdzXbPraODeAH83f5yNFQ+TIiJSu1Tm97vSAei5557jzjvvJCIi4pKKrM1qcwAqtZRy/TfXczz7OO5O7hcMNOcT6R1Jx6CORAdF07ZBW7459A1fHvgSgAivCB7p9gg7Unfw5YEvyS3JBcDX1ZdeYb3oGV7359Iczz7Ovzf9m1UnVp3zmY+LD4HugTTyaUQTnyZE+UbRxLcJTX2b4ut64XltIiJiX5X5/a70JbA/5/r8r4KCAmbMmMGUKVMq26VUwneHv+N49nH8Xf1ZdsMy9mXsY/mx5aw4voKMwgzcTG409WtKc7/mNPNrRrhnOD6uPvi6nL2jys/ND28X7zJ9RgdFMyBqAFN/n8qp3FM8tOoh22fNfJsxqt0orm16LS4ml5o+3GrR2Kcxs6+azdrTa3ln+zsczz7OmaIzWKwWsovPjpQdyTrCKlaV2S/QPZDmfs1p7tec1gGtiYuKw83JzT4HISIil6TSI0Amk4nExMRzHlWRnp5OcHAwZrO5Sgu0h9o6AlRsLuYfi/9BYl4ij3R7hFHtRtk+K7WUklaQRpB7ECaj6QK9nF9eSR6vbn6VLw98SefgzoxuN5q+Dfs6xG3kFquFrKIszhSeISk/iePZxzmWdcx2e355k7zbBLRhZr+ZNPRuaIeKRUTkf1XrJTCj0UhycjJBQUFltq9cuZJhw4aRmppa+YprmdoagBbsW8AL618g2D2YpTcsrbbRh2Jzcb0Z7akqeSV5HM48zOHMwxzMPMj3h7/nTNEZfFx8eLHvi/Rt2NfeJYqIOLxquQTm7+9ve7p6y5Yty9xxYzabyc3NZcyYMRdftVxQQWkB7+54F4B7O95brZdeFH7O5ensScegjnQM6gjAyLYjmbhqIjvTdjIufhxjO43l/zr+n0OMlomI1AcVHgGaN28eVquVO++8k1mzZpVZ6NDFxYWoqCh69uxZbYXWpNo4AjRv9zz+venfhHuG8/3Q7yt167tUj2JzMS9teIkvDnwBQJfgLgxtMZSrGl1V6++IExGpj6r1Etjq1avp1asXzs719we4tgWgvJI8rvnqGs4UneHZXs8ytMVQe5ckf7Hk0BKe/+N5isxnn4vnbHSmd3hv4prE0TOsJw3cG9i5QhERx1DlASg7O9vWUXZ29gXb1obAcKlqWwB6d8e7zN46m8Y+jVkyZAlOxktawFuqwcmck3x/5Ht+PPYjhzLLPnYlyieKLiFd6BLchV7hvQjyCDpPLyIicimqPAD99c4vo9FY7iMErFYrBoNBd4FVsSJzEVd/eTVnis7wYt8XubbptXatR/7eoTOHWH5sOStPrOTgmYNlPnN3cmdO/znnXXVbREQuXpVPgl65ciUBAQEA/PLLL5deoVTYT8d+4kzRGUI9Q4mLirN3OVIBzf2bc7///dzf+X6yirLYlrKNzSmb+e3kbxzKPMT4leP5IO4D2jVoZ+9SRUQcVqXnADmC2jQCNGLpCHak7WB85/Hc2/Feu9Yil6awtJCxP49lU/Im/F39mTtwrp5FJiJShSrz+13pe3aXL1/OmjVrbO/nzJlDp06duO222zhz5kzlq5Xz2p2+mx1pO3AyOnFDixvsXY5cIjcnN2ZfNZt2DdpxpugM96y4h1O5p+xdloiIQ6p0AHr00UdtE6F37tzJxIkTGTRoEEePHmXixIlVXmB9V2IpIac4p9zPFuxbAMDVja8m0D2wJsuSauLl4sVbsW/RzLcZKfkp3PvTvexI3XFRz3QTEZGLV+nbiY4ePUrbtm0B+Oqrrxg8eDDTpk1jy5YtDBo0qMoLrO/u/vFu9p/Zz7tXv2tbZA/OPrn8h6M/ADC89XB7lSfVwN/Nn3eufodRy0eRkJPAiGUjMGCgoXdDmvs1p02DNsQ1jtPlMRGRalTpESAXFxfy8/MB+PnnnxkwYAAAAQEBf3uLvJSVWZjJlpQt5JXk8cDKB0jKS7J9tuTQEorMRbTyb0WnoE72K1KqRYhnCO9d/R59I/ri5+qHFSsnck7wy4lfeHPbmwz5Zgi3fHcL83bPIyU/xd7liojUO5UeAerduzcTJ06kd+/ebNiwgYULFwJw4MABGjbUQyErY1f6Ltuf0wvTuT/+fj6+5mPcnNxYuP/seb219a3lLjsgdV+kTyRvxr6J1WolvTCdw5mHOZR5iHWn1/H7qd/Zm7GXvRl7eWXTK9zQ4gaejHlSK4CLiFSRSo8AzZkzB2dnZxYtWsRbb71FREQEAD/88AMDBw6s8gLrs51pOwHoEdqDALcA9p/Zz+O/Pc5vJ3/jZO5JvJ29GdRElxXrO4PBQKB7IDFhMYxoM4I3+r/ByltW8mTMk3QK6oQVK18d/IoxP48hu1ijrCIiVaFSt8GXlpby+eefM2DAAEJDQ6uzLruqqdvgx8WP49eTvzKpxyTaB7bnzuV3UmwpxsvZi9ySXP7Z5p883uPxavt+qRvWnFrDw6seJr80n6a+TXkz9k0ivCLsXZaISK1TbbfBOzk5MWbMGIqKii6pQDm7cvautLOXwNoHtic6KJrnej8HQG5JLnD28pdIn4g+fHzNxwR7BHMk6wgjlo6w/bsjIiIXp9KXwHr06MHWrVuroxaHkpiXSEZhBk4GJ1oHtAZgUNNBjI0eC8AVDa+gsU9je5YotUirgFZ8NugzWvm3Ir0wnTuW38HzfzzP/oz99i5NRKROqvQk6Pvuu4+HH36YkydP0rVrVzw9Pct83rFjx/PsKX/15/yflgEtcTW52raPjR5L74jeNPXVLdBSVqhnKPOumcejqx/lt1O/sXD/QhbuX0h0UDTDWg3j6sZX4+bkZu8yRUTqhEo/CsNoPHfQyGAw6GGolfTKpleYu3suw1oN46nLnqqW75D6yWq1sjFpIwv3L2RlwkpKraUAeDl7cXXjq7m26bV0C+mGyWiyc6UiIjWryh+G+ldHjx696MLkv/4cAWof2N7OlUhdYzAY6BHWgx5hPUgrSOPrg1+z6MAiEvMSWXxoMYsPLSbYI5hBTQYxvPVwwr3C7V2yiEito4ehlqO6R4DMFjM95/ekoLSAxdctprl/8yr/DnEsFquFzcmbWXpkKT8d/8n2eBUnoxNDmg3h7g5309Bb63SJSP1Wmd/viw5Ae/bsISEhgeLi4jLbr7vuuovprlap7gB08MxBbvj2BjycPFg7fK0uVUiVKjYX89vJ3/h83+dsSNoAgMlgYnCzwdzb8V4ivSPtXKGISPWo1ktgR44cYejQoezcudM29wewrVZcH+YAVbc/b2FuF9hO4UeqnIvJhf6N+9O/cX+2JG/hnR3vsPb0WpYcWsKPx35kxuUzuCLyCnuXKSJiV5W+DX7ChAk0adKElJQUPDw82L17N7/++ivdunVj1apV1VBi/aP5P1JTuoR04Z2r3+GzQZ/RJbgLBaUFPPDLA8zfN9/epYmI2FWlA9C6det49tlnCQwMxGg0YjQa6dOnD9OnT+eBBx6ojhrrnT9HgDoEdrBzJeIoOgZ15P2497mxxY1YrBamrZ/GjI0zsFgt9i5NRMQuKh2AzGYz3t7eAAQGBnL69GkAGjduzP79WpTt7xSWFnLgzAFAAUhqlrPRmak9pzKhywQAPt7zMRNXTaSgtMDOlYmI1LxKB6D27duzfft2AGJiYnj55Zf5/fffefbZZ2naVIv3/Z19GfswW800cGtAiEeIvcsRB2MwGLi7w9281PclnI3OxCfEc/N3N7MleYu9SxMRqVGVDkBPPfUUFsvZYfNnn32Wo0eP0rdvX5YtW8brr79e5QXWN3+9/PXnxHGRmjao6SDeH/A+we7BHM8+zh3L7+ClDS+RX5Jv79JERGpEpQNQXFwcN9xwAwDNmzdn3759pKWlkZKSwlVXXVXpAubMmUNUVBRubm7ExMSwYcOGC7afNWsWrVq1wt3dncjISB566CEKCwsvqc+apAnQUlt0CenC4usXM7T5UKxY+XTvp9z03U1sStpk79JERKpdpQPQX504cYITJ04QEBBwUaMZCxcuZOLEiUydOpUtW7YQHR1NXFwcKSkp5bb//PPPmTRpElOnTmXv3r188MEHLFy4kCeeeOKi+6xpmgAttYmPiw/P9n6Wt2LfIsQjhBM5J7jrp7v4ePfHaI1UEanPKh2ASktLefrpp/H19SUqKoqoqCh8fX156qmnKCkpqVRfM2fO5J577mH06NG0bduWt99+Gw8PDz788MNy269du5bevXtz2223ERUVxYABAxg+fHiZEZ7K9lmTsoqySMhJAM6uASRSW/SJ6MPiIYu5rtl1WKwWZmyawTPrnqHEXLn/pkVE6opKB6Dx48fz7rvv8vLLL7N161a2bt3Kyy+/zAcffFCp2+CLi4vZvHkzsbGx/y3GaCQ2NpZ169aVu0+vXr3YvHmzLfAcOXKEZcuWMWjQoIvuE6CoqIjs7Owyr+rw5+hPI+9G+Lr6Vst3iFwsbxdvnu/9PI91fwyjwcjXB7/mnhX3cKbwjL1LExGpcpVeCfrzzz9nwYIFXHPNNbZtHTt2JDIykuHDh/PWW29VqJ+0tDTMZjMhIWXvhAoJCWHfvn3l7nPbbbeRlpZGnz59sFqtlJaWMmbMGNslsIvpE2D69On861//qlDdl0Lzf6S2MxgM3N72dqJ8onjs18fYnLyZ4UuH89qVr9EqoJW9yxMRqTKVHgFydXUlKirqnO1NmjTBxcWlKmo6r1WrVjFt2jTefPNNtmzZwtdff83SpUt57rnnLqnfyZMnk5WVZXudOHGiiiouq3NwZ25tdStXNrqyWvoXqSp9G/bl00Gf0tCrIadyTzF86XA+2PkBZosedSMi9UOlA9D999/Pc889R1FRkW1bUVERL7zwAvfff3+F+wkMDMRkMpGcnFxme3JyMqGhoeXu8/TTT3P77bdz991306FDB4YOHcq0adOYPn06FovlovqEs6HOx8enzKs6xITF8ORlTzIwamC19C9SlZr5NWP+tfPp17AfJZYSZm2ZxcjlIzmWdczepYmIXLJKB6CtW7fy/fff07BhQ2JjY4mNjaVhw4Z89913bN++nRtuuMH2uhAXFxe6du1KfHy8bZvFYiE+Pp6ePXuWu09+fj5GY9mSTaazDxO1Wq0X1aeInJ+fmx+vX/U6z/V+Di9nL3ak7uDm727ms72f6S4xEanTKj0HyM/PjxtvvLHMtsjIyIv68okTJzJq1Ci6detGjx49mDVrFnl5eYwePRqAkSNHEhERwfTp0wEYPHgwM2fOpHPnzsTExHDo0CGefvppBg8ebAtCf9eniFSOwWDg+ubXExMaw5S1U/gj8Q9e3PAi6QXpPNBFz/8Tkbqp0gHoo48+qrIvHzZsGKmpqUyZMoWkpCQ6derE8uXLbZOYExISyoz4PPXUUxgMBp566ilOnTpFUFAQgwcP5oUXXqhwnyJyccK8wnj36neZt3ser2x+hfd2voeHswd3d7jb3qWJiFSawVrJceyCggKsViseHh4AHD9+nMWLF9O2bVsGDBhQLUXWtOzsbHx9fcnKyqq2+UAiddlHuz5i5uaZAEzuMZnb2txm54pERCr3+13pOUBDhgzh448/BiAzM5MePXrwyiuvMGTIkArfAi8iddvo9qP5v47/B8D0DdNZcmiJfQsSEamkSgegLVu20LdvXwAWLVpEaGgox48f5+OPP9bDUEUcyLhO4/hnm38CMHXtVBYfXKyJ0SJSZ1Q6AOXn5+Pt7Q3ATz/9xA033IDRaOSyyy7j+PHjVV6giNROBoOBx7o/xo0tbsRitTBl7RQeWPkASXlJ9i5NRORvVToANW/enCVLlnDixAl+/PFH27yflJQUzZeRi5aSU8iynYk88+1uRn24genL9rJiTzKZ+cX2Lk0uwGAw8PRlT3Nf9H04GZ1YdXIVQ78Zyhf7v8Bitdi7PBGR86r0JOhFixZx2223YTab6d+/Pz/99BNw9nESv/76Kz/88EO1FFqTNAm6ZmQXljBrxUFW7kvmWHr+edu1DPHiipZBjOwZRWSAR7ltMvKKOZqWh9lipdRsodRixQp0auiHr4dzNR2B/NWhM4eYunYqO9J2ANC2QVsivSMxGUw4GZ1wMjrRv1F/Lm94uZ0rFZH6qjK/35UOQABJSUkkJiYSHR1tu019w4YN+Pj40Lp164uruhZRALo0ablFfLHpBD/uSqJJoCcPxrYkKtCzTJtNxzJ4cOE2Tp4pAMBggFYh3vRoEkCLYC/2JGaz4WgGh1PzbPsYDTCgbSh39W1Ct8b+ZBWUsHxXEkt3JrL2cDpmy7n/Krs5G7m+UwSjekXRJkz/LKub2WJm/r75vL71dQpKC8753ICBF/u+yKCmg+xQnYjUd9UegOo7BaDKs1qtbDiawafrE1i+K5ES83//tXIyGhgR04jx/Vvg5+7M7JWHmL3yIBYrNPR356lr29CzWSC+7ueO1KTnFrH+aAbzNyTw28E02/YmgZ6cyMin9C+hJ8LPHVdnI05GAyajkfziUo7/ZWSpR5MA7uzdhLh2IRgMhmo6EwKQlJfEb6d+o9hcjNliptRayu603fx0/CecDE7M7j+bPhF97F2miNQzCkCXSAGo4rIKSli85SSfrU/gYEqubXunSD9u6BJB/N4UVh9IBcDL1YmG/u7sS8oB4IbOETwzpB0+bhW7RHUgOYcP1xzl662nKC49O7+kdag3g6PDubZD2DmjTFarlY3HzjBv7TGW706yjRCN7NmYqYPbYTIqBNUki9XCpN8m8cPRH3B3cufdq9+lU3Ane5clIvWIAtAlUgD6eztOZvLpH8f5dvtpCkvOhhEPFxNDOkUwIqYR7SN8bW3XHkpj+g/72HkqCwBvVyeeH9qeIZ0iLuq703OLWHs4nTZhPjQP9qrQPklZhXz0+1He/e0IVisMaBvC68M74+Zsuqga5OKUmEsYv3I8v5/+HR8XH+YOnEsL/xb2LktE6gkFoEukAHR+WxPOMHPFgTKXo1qFePPPyxpxfecIvM8zmmOxWFm6M5HNx89wV58m553MXN2W7kjkoS+2UVxqoUsjP94f1Z0ATxcsFivbTmayYk8yh1NyiQr0pEWwF61CvWke7IWHS6WfGiPnkV+Szz0r7mFH6g6C3IN4b8B7NPNrZu+yRKQeqNYA9Ouvv9KrVy+cnMr+IJSWlrJ27Vouv7zu3+GhAHSunSezePXnA6zclwKcndczODqcf17WiC6N/OvUnJoNRzO45+NNZBWU0CTQkx5RAcTvSyEtt6jc9gYDtA714eo2wcS2DaFDhG+dOt7aKKsoizuW38GhzEO4mlx5tNuj3NLqFp1XEbkk1RqATCYTiYmJBAcHl9menp5OcHAwZrO58hXXMo4SgDLyinnn18O4OZmY0L8FxnLmxFgsVp5cspP5G04AYDIauLFLBOOvamG3UZyqcCglh1EfbuRU5n/vVPJ2deKKVkF0buTPiYx8DiTncCA5h7TcsmsRhfi4EtculIevbqVb7C9BWkEaT655krWn1wLQr2E//tX7XwS4Bdi5MhGpq6o1ABmNRpKTkwkKCiqz/cCBA3Tr1o3s7OzKV1zL1PcAVGK28Mm648z6+QDZhaUAPHBVcyYOaHVO29fjDzJzxQGMBri+UwQP9G9xzmTjuiolu5AXlu3Fz92Zq9uG0qNJAC5O564NmppTxK8HUvl5bzKrD6SSX3w25Me1C+Gd27vVdNn1isVq4bO9n/Hq5lcpsZQQ6B7IMz2f4fKGl2s0SEQqrVoC0A033ADAN998w8CBA3F1dbV9Zjab2bFjB61atWL58uWXUHrtUJ8D0OoDqTz3/R4O/eeOrUYBHiRknL1VfPbwzgyODre1XbEnmXs+3gTAyzd25JbukTVfcC1TWGJm1f4U7v98K6UWK+/e3pUB7ULtXVadtz9jP4//+jiHsw4D0K5BO+7pcA9XNroSo6HSC9aLiIOqlqfB+/r64uvri9Vqxdvb2/be19eX0NBQ7r33Xj799NNLLl6qR2GJmUe/3M6oDzdwKCWXAE8Xpg3twC+P9OPey5sC8MiX29l+IhM4e4nooYXbABjVs7HCz3+4OZsY2D6Me/5zzqZ+u5vcolI7V1X3tQpoxfx/zOeOdnfgZnJjd/puHlz1IEO/Gcq3h7+lyFz+/CwRkYtVoRGgiRMn8txzz+Hp6cmVV17Jd999h5dXxW4/rovq2wjQ6cwCxny6mR0nszAaYHTvJjzQv4Vt4UGzxco9H29i5b4Ugr1d+ezuGO79ZDNH0/Lo0SSAz+6Owdmk/wv/q4JiMwNmreZERgF39m7ClMFt7V1SvZFRmMGnez5lwb4F5JScXTPKw8mDyxteTmzjWPpG9MXDue7OPxOR6lPll8CcnZ05efIkISEh550EXZ/UpwD0x5F0xn22hfS8Yvw9nJk9vAt9WgSe0y6nsIQb3lzLwZRcnE0GSsxWwn3d+HZ8HwK9XMvpWVYfSGXUhxswGuCbcX3o0ND373eSCsspzuGL/V8wf998kvOTbdtdTa5c2/RanrrsKZyNmoQuIv9V5QGoRYsW3HLLLQwYMIArr7ySxYsX4+/vX25b3QZfO1itVuatPcZzS/ditlhpG+bDO7d3veCdWwnp+QyZs4Yz+SW4Ohn5amyvMgsayrkemL+Vb7efpn2ED0vu642TRsqqnMVqYXfablYkrODn4z9zIufsHYn3dbqPsdFj7VydiNQmVR6AlixZwpgxY0hJScFgMHC+XQwGg26DrwVKzBae+XY3n61PAGBIp3BevKEj7i5/v+rx5uMZvPLTAe7s3YTYtiHVXWqdl5JTSOwrq8kuLGXclc24pn0Yvu7O+Ho44+3qpDuZqpjVamXJoSVMWTsFJ4MTC/6xgFYB5969KCKOqdpug8/NzcXHx4f9+/ef9xKYr2/dHzGoywEoq6CE+z/fwm8H0zAYYPI1rbmnb1P9EFejz9cn8MTinedsdzYZaB/hS69mDejZNJCujf0rFELlwqxWKw+teoj4hHhaB7Tm82s/16UwEQGqeR2g1atX07t373NWgq5P6moAOpGRz+i5GzmUkou7s4nXh3fmao3iVDuLxcqUb3ex4WgGWQUlZOaXUPSfh7X+lYvJSL9WQbxxW5dy1xuSiksrSGPoN0PJLMrkvuj7GNtJl8JEpBoCUHZ2tq2jv1vosC4FhvOpCwFo3eF0jqXnkVdUSl6RmbziUr7afJL0vGJCfdx4f1Q3zd+xo8ISM0lZhWw4lsEfh9NZdySdxKxCAN64rTP/6Bj+Nz3I3/nh6A889utjOBmcmP+P+bQOaG3vkkTEzqo8AP31zi+j0Vju5RSr1ao5QDVk6Y5Exn2+pdzP2oX78MGo7oT6utVwVXIhVquVGT/u581Vh+nZtAHz773M3iXVeVarlYdXP8yK4yto6d+SBdcuwNmkS2Eijqwyv98Vuo61cuVKAgLOPp/nl19+ufQK5aKl5xbx9De7AOjSyI/IAA88XZ3wdDER5uvOrT0i9eTyWshgMPDPyxrz9urDrDuSzqGUXJoH19+1tGqCwWDgyZgn2ZS0iQNnDhC7KJZgj2AC3ALwd/OnTUAbbmtzm+YHiUi5Kj0HyBHU5hGg+z/fwvc7Emkd6s239/fRXJI65u55m/h5b7IWT6xCKxNW8tivj5W7WvTNLW/m6cue1k0AIg6iykeA/ldmZiYbNmwgJSUFi6XsZM+RI0deTJdSAct3JfL9jkRMRgMzbopW+KmDRlzWiJ/3JrNo8wkeG9gKN2fdFXaprmp0FStuWsHpvNNkFGSQUZjB8ezjvL/zfb488CWNfRozqt0oe5cpIrVMpQPQd999x4gRI2y3xP/1/6wMBoMCUDU5k1fMU0vOXvoac0VTrTpcR13eIoiG/u6cPFPA9zsSualrQ3uXVC/4u/nj71Z2cVZfV1/+venfvLLpFSK9I7mq0VV2qk5EaqNKDyE8/PDD3HnnneTm5pKZmcmZM2dsr4yMjOqoUYBnvttNWm4xLYK9eKB/C3uXIxfJZDQwvEcjAD5bf9zO1dRvI9uO5OaWN2PFyqTfJrEnfY+9SxKRWqTSAejUqVM88MADeHjoYYQ1ZcWeZL7ZdhqjAWbcHI2rky6b1GW3dIvEyWhga0Imu09n2bucestgMDA5ZjK9wntRUFrA+PjxJOUl2bssEaklKh2A4uLi2LRpU3XUIuUoLDHzzLe7Abjn8qZ0ivSzb0FyyYK8XYlrHwqcXUVaqo+z0Zl/X/Fvmvs1J6UghVu+u4XP9n5GibnE3qWJiJ1V6C6wb7/91vbn1NRUnn32WUaPHk2HDh1wdi57i+l1111X9VXWsNp0F9j7vx3h+aV7CfVxY9Wj/TRptp5YeyiN295fj6eLifVPxuLlqqULqtPp3NOM/XksR7KOANDQqyEPdHmAuKg4jAbdTCBSX1T5QohGY8X+grjYhRDnzJnDjBkzSEpKIjo6mtmzZ9OjR49y2/br14/Vq1efs33QoEEsXboUgDvuuIN58+aV+TwuLo7ly5dXqJ7qCkDH0/OYvfIQt3aPpFtUwN/XUVjCFS//wpn8El66sQPDujeqslrEvqxWK/1fWc2RtDwmX9Oa/7uimb1LqvdKLaV8ffBr3tr+FmkFaQC0bdCWKT2n0K5BOztXJyJVoTK/3xVKNhaLpUKviwk/CxcuZOLEiUydOpUtW7YQHR1NXFwcKSkp5bb/+uuvSUxMtL127dqFyWTi5ptvLtNu4MCBZdrNnz+/0rVVtbdXH2HR5pPM+vlghdq/u/oIZ/JLaBbkyY1ddLdQfWIwGBhxWWMApv+wj3s/3sSJjHw7V1W/ORmduKXVLSwdupRxncbh4eTBnvQ9jFg6gte3vE6xudjeJYpIDbL72O/MmTO55557GD16NG3btuXtt9/Gw8ODDz/8sNz2AQEBhIaG2l4rVqzAw8PjnADk6upapp2/v3+5/QEUFRWRnZ1d5lUdxl3ZDGeTgTWH0th47MJ3zKVkF/LBmqMAPBrXGieT3f9RSRUb1bMxd/dpgslo4Kc9ycTOXM1rPx+ksKTuP06mNvNw9mBM9BiW3rCUuKg4zFYz7+18j2HfD2NX2i57lyciNaTCv6rr1q3j+++/L7Pt448/pkmTJgQHB3PvvfdSVHTuSqwXUlxczObNm4mNjf1vQUYjsbGxrFu3rkJ9fPDBB9x66614enqW2b5q1SqCg4Np1aoVY8eOJT09/bx9TJ8+HV9fX9srMjKyUsdRUQ39Pbi529m+X11x4IJtX195kIISM50b+RHXTk90r4+cTEae+kdbfpjQl55NG1BUauHVnw/Q/fmf6fHCf18x035mzi+H7F1uvRPoHsi/r/g3M/vNJMAtgEOZhxixbARvb38bLZAvUv9VOAA9++yz7N692/Z+586d3HXXXcTGxjJp0iS+++47pk+fXqkvT0tLw2w2ExJS9gc+JCSEpKS/v111w4YN7Nq1i7vvvrvM9oEDB/Lxxx8THx/PSy+9xOrVq7nmmmvOe4lu8uTJZGVl2V4nTpyo1HFUxrgrm+NsMrD2cDrrj5Qfyo6l5bFgw9kaHh/YWsv413MtQ7z5/J4Y3ritM6E+buQUlZKSU2R7JWcX8eqKA5zKLLB3qfXS1Y2vZsmQJVzT5BosVgtzts1h9tbZCkEi9VyFbz3Ztm0bzz33nO39ggULiImJ4b333gMgMjKSqVOn8swzz1R5kefzwQcf0KFDh3MmTN966622P3fo0IGOHTvSrFkzVq1aRf/+/c/px9XVFVdX12qvFyDCz51bukXy2foEXv35AAvu7XlOm3//tJ9Si5V+rYK4rGmDGqlL7MtgMPCPjuHEtgnhaFoef/3tfea73Ww4msF7vx7hmes0Wbc6+Lv58/LlLxMdFM2LG17kvZ3v4WR04r5O99m7NBGpJhUeATpz5kyZkZo/R1X+1L1790qPnAQGBmIymUhOTi6zPTk5mdDQ0Avum5eXx4IFC7jrrrv+9nuaNm1KYGAghw7VjssI465sjovJyB9HMlh3uOwo0HfbT/P9jkQMBngsrrWdKhR7cXM20SbMh7bh/31N+M/K3/M3JJCaU7nLzFI5I9qM4JFujwDw1va3eHfHu3auSESqS4UDUEhICEePnp2UW1xczJYtW7jssstsn+fk5JyzJtDfcXFxoWvXrsTHx9u2WSwW4uPj6dnz3JGRv/ryyy8pKirin//8599+z8mTJ0lPTycsLKxS9VWXcD93hnU/Oxdo1s9n5wIVl1p45tvdjJ+/FYCbuzakbXjtehK92EevZg2IjvSjqNTCh78ftXc59d6odqN4qOtDAMzeOpsPd5V/Q4aI1G0VDkCDBg1i0qRJ/Pbbb0yePBkPDw/69u1r+3zHjh00a1b5tUwmTpzIe++9x7x589i7dy9jx44lLy+P0aNHA2efLj958uRz9vvggw+4/vrradCg7CWi3NxcHn30Uf744w+OHTtGfHw8Q4YMoXnz5sTFxVW6vupy35XNcDEZWX80g682n+SWd9Yxd+0xAMZc0YxpQzvYt0CpNQwGA/df2RyAT9YdJytfqxhXtzvb38n4zuMBeHXzq8zZNkdzgkTqmQrPAXruuee44YYbuOKKK/Dy8mLevHm4uLjYPv/www8ZMGBApQsYNmwYqampTJkyhaSkJDp16sTy5cttl9sSEhLOWYhx//79rFmzhp9++umc/kwmEzt27GDevHlkZmYSHh7OgAEDeO6552psnk9FhPm6M7xHJPPWHefhL7cD4OPmxMxbOhHbVnd9SVn9WwfTKsSb/ck5fLzuGOP1QNxqd2/HezFbzby57U3e3v42p3JO8a9e/8LZVLmRbhGpnSq0EvRfZWVl4eXlhclU9pEMGRkZeHl5lQlFdVVNPQojKauQy2f8QnGphQ4Rvrw5oguRAXrIrJTvm22nmLBgG/4ezqx5/Co89fiMGrHowCKe/+N5zFYz3UO782q/V/F19bV3WSJSjip/FIajqclngf16IJVDKbncFtNIz/mSCzJbrPR/ZRXH0vN56to23NWnCXsTc/h+x2l+3puMu4sTsa2DiW0bQutQby2fUIV+P/U7E1dNJL80nya+TXim5zM4GZ0oMhdRZC7CiJGuoV1xNdWeUWYRR6QAdIlq08NQRf5qwYYEJn29E38PZ/w9XTiSmlduu4b+7gxoG8qYfk0J9nar4Srrp/0Z+7kv/j5S8st/TE9zv+a8dPlLtPRvWcOVicifFIAukQKQ1FbFpRaumPELiVmFALg4GbmqVTDXdgwjv7iUFXuS+e1gGkWlFgACvVx57dZO9G4eaM+y643kvGSe/v1p9p/Zj5vJDVcnV9xMbiTmJZJZlImL0YWJ3SZyW+vbNAInYgcKQJdIAUhqs3WH0/l6y0l6Nw8ktm0IXv8zF6ig2MxvB1OZueIA+5JyMBhg/JXNmRDbEpNRP8rVIb0gnSlrp/DryV8B6B3Rm+d7P0+gu4KnSE1SALpECkBSHxSWmPnXd7uZ/5/HqsQ0CeD14Z0J8dElsepgtVpZsH8Br2x6hSJzEQ3cGvDO1e/QKqCVvUsTcRiV+f3WI8ZF6ik3ZxPTb+jIa7d2wtPFxPqjGQx543fScrWadHUwGAwMbz2cBdcuoLlfc9IL07nzxzvZmbrT3qWJSDkUgETquSGdIvhufB+aBnqSlF3IQwu3YbFo4Le6NPdvzrxr5hEdFE12cTZ3/3Q3G5M22rssEfkfCkAiDqBpkBdv394VN2cjvx1M463Vh+1dUr3m4+LDu1e/S0xoDPml+Yz9eSxrTq2xd1ki8hcKQCIOomWIN89e1x6AmSsOsPFYhp0rqt88nD2YEzuHKxpeQZG5iPErx7P6xGp7lyUi/6EAJOJAbu7WkKGdIzBbrIz/fCsZecX2LqleczW58uqVrxIXFUeppZQn1jxBcl6yvcsSERSARByKwWDguevb2+YDPfLlds0HqmbORmem951OuwbtyC7OZsraKXqwqkgtoAAk4mC8XJ1447YuuDgZWbkvhTGfbuZAco69y6rXnI3OTOs7DVeTK2tPr2XB/gX2LknE4SkAiTigtuE+PD+kPQYD/LQnmbhZvzJhwVYOp+bau7R6q6lvUx7q+hAAMzfN5GjWUTtXJOLYFIBEHNQt3SP5YUJfBrYLxWqFb7ad5uqZq5n89U6K//MoDalaw1sP57Kwyyg0F/LEb09QYimxd0kiDksBSMSBtQ714e3bu/L9+D7EtgnBYoX5GxKY9NUOzVOpBkaDked6P4e3ize70nfx3o737F2SiMPSozDKoUdhiKP6eU8y//fpZswWK2P7NePxga3tXVK9tOzIMh7/7XEAwjzD6BLShS7BXega0pWmvk31IFWRi6RngV0iBSBxZF9uOsGji3YA8K/r2jGqV5R9C6qnZmycwWd7P8NsNZfZ3sq/Ffd1uo8rI69UEBKpJAWgS6QAJI7ujZUH+fdPBzAY4K0RXRjYPszeJdVL+SX5bE/dzpaULWxJ3sL21O0Umc8+q61tg7aM6zSOvhF9FYREKkgB6BIpAImjs1qtPLVkF5+tT8DFycjYK5rRMsSbpkGeNAn0xM3ZZO8S66Wsoizm7Z7Hp3s/paC0AIDOwZ2ZfdVsfF197VydSO2nAHSJFIBEwGyxMubTzazYU3blYoMBujby5+3buxLo5Wqn6uq3jMIM5u6ay/x98yk0F3J3h7uZ0GWCvcsSqfUUgC6RApDIWYUlZhZsSGDnqWyOpOVyJDWPrIKzt24P7xHJ9Bs62rnC+i3+eDwPrnoQX1dfVty0Ancnd3uXJFKrVeb326mGahKROsjN2cQdvZvY3lutVtYdSee299azcOMJRvWKonWo/iehuvSL7EeEVwSnck+x9MhSbmp5k71LEqk3tA6QiFSYwWCgV7NABnUIxWKFF5bu1XpB1chkNHFb69sA+HTPpzrXIlVIAUhEKu3xga1xNhn47WAaqw6k2rucem1oi6F4OHlwOOsw6xLX2bsckXpDAUhEKq1xA0/u+M/6QNOW7qXUrEdnVBdvF2+ub349cHYUSESqhgKQiFyU+69qgb+HMwdTclmw8YS9y6nXbmtzGwYM/HbqN45lHbN3OSL1ggKQiFwUX3dnJvRvAcCrKw6QU6gHe1aXxj6NuaLhFQB8tvczO1cjUj8oAInIRRtxWWOaBnqSnlfM9B/2YbFokm51GdF2BADfHP6GrKIsO1cjUvcpAInIRXM2GXny2jYAfL4+gXs+3mRbJ0iqVkxoDM39mlNQWsDig4vtXY5InacAJCKXpH+bEF6+qSMuTkbi96Vw3Rtr2HM62/b5yTP5vB5/kIGzfuWpJTvtWGndZjAYuL3t7QB8tu8zSiwKmo7GbDGTUZhRLcsh5JXkkVOcU+X91ma1YiXoOXPmMGPGDJKSkoiOjmb27Nn06NGj3Lb9+vVj9erV52wfNGgQS5cuBc4u1jZ16lTee+89MjMz6d27N2+99RYtWrSoUD1aCVqk8nadymLMp5s5eaYAN2cj9/RtyqZjZ1h3JL1Mu7mju9OvVbCdqqzbisxFxC2KI70wned7P8+Q5kPsXZLUgMTcRJYcWsLiQ4tJzEskyieK2MaxxDaOpW1A20o/LNdsMbMrfRc7U3eyO303u9N3cyzrGCaDiUFNB3FX+7to6te0zD4llhI2JW1iT/oeCs2FFJmLKCotosRSQmyjWHpF9KrKQ75odepRGAsXLmTkyJG8/fbbxMTEMGvWLL788kv2799PcPC5f0lmZGRQXFxse5+enk50dDTvv/8+d9xxBwAvvfQS06dPZ968eTRp0oSnn36anTt3smfPHtzc3P62JgUgkYtzJq+YBxduY/Vf1gYyGKBn0wZ4uDjx895kWgR78cOEvjiZNAB9MT7Y+QGztsyiiW8TlgxZgtGg81jX5BbnsjdjL64mV8K9wglwCyjzzzGrKIsTOSc4knWEZUeXsfbUWqyU/1Md7hlObONYBkYNpH1g+/OGIYvVwraUbSw/tpwVx1eQVpB23voMGOjfqD93tL+DzMJMVhxfwaqTq84798xoMPLy5S8TFxVXibNQPepUAIqJiaF79+688cYbAFgsFiIjIxk/fjyTJk362/1nzZrFlClTSExMxNPTE6vVSnh4OA8//DCPPPIIAFlZWYSEhDB37lxuvfXWv+1TAUjk4pktVt785RAr9iZzdZsQhnaJoKG/B1kFJfSb8Qtn8kt4bkg7bu8ZZe9S66Tc4lwGLBpATkkOr/Z7ldjGsfYuSS7AbDGTmJfInvQ9bEnZwpbkLew/sx+L9b9rZ7kYXQj1DMXT2ZOTuSfLvRQVExrD0BZDuSzsMjYkbWDF8RWsObWGgtICW5sIrwgGRA3gysgrKSwtJCkvidN5pzmde5r1ietJzv/vg429XbzpGtyVtoFtadegHW0btCUxN5H3d77PyhMryz2WALcAYsJi8HHxwdXkiqvJlcOZh1l5YiVOBideu+o1Lm94eZl9ErITeHXzqyTlJeHv5k+AWwAB7gEEuAYQHRxN5+DOl3qKy6gzAai4uBgPDw8WLVrE9ddfb9s+atQoMjMz+eabb/62jw4dOtCzZ0/effddAI4cOUKzZs3YunUrnTp1srW74oor6NSpE6+99to5fRQVFVFUVGR7n52dTWRkpAKQSBX7eN0xpnyzG38PZ1Y9eiW+7s72LqlOmr11Nu/ueJd2Ddox/9r5lb4EIn8vITuBhfsXcjTrKHkleeSX5pNXkkexuZgQjxAaejck0juSht4N8XbxJr/k7Od/zqVJyEngWPYxjmcdp9hSfE7/4Z7hmK1mUgtSy4ShPwW5BxHpHUnXkK4MbT6USJ/Ic9oUlhby++nf+fHYj6w6sapMGCqPl7MXVzW6irioOHqG9cTZVP5/f4fOHOLDXR+y7OgyGrg3ILbR2cttXYK7YDKayrQ1W8w8seYJlh1dhovRhTdj3yQmLAazxczn+z7n9S2vU2guLPd7RrcfzcSuEy9Yc2XVmYehpqWlYTabCQkJKbM9JCSEffv2/e3+GzZsYNeuXXzwwQe2bUlJSbY+/rfPPz/7X9OnT+df//pXZcsXkUq6rUcjPl53nEMpubyx8iBPXtvW3iXVSSPajODj3R+zO3036xLX0Su8dsy/qI0sVgvfHf6ODUkb8HP1I9gjmGCPYILcgwjxDCHUI9QWBKxWKxuTNvLJnk9YfXL1eS87JecnsyNtR4VrcDY608S3CZ2DO9M1pCtdgrsQ4nn2N6rEUkJKfgqJuYnkleQR7hVOQ++GuDu5/22/bk5u9G/Un/6N+lNQWsBvJ39j+bHlbE7ejJ+rH2FeYYR5hhHuGU4L/xb0DO+Jq8n1b/tt7t+caX2n8WzvZzEajBe8zGoymni+z/MUlBbwy4lfGL9yPM/0fIYF+xewNWUrcHb06tbWt5JdnE1GYYbt1b5B+wqewepRp58G/8EHH9ChQ4fzTpiuqMmTJzNx4n9T6J8jQCJStZz+c9v86I82MnftMUbENCYq0NPeZdU5AW4B3NTyJj7d+ykf7PxAAeg8tqZs5cUNL7Infc952xgwEOQeRKhXKPkl+RzKPGT77PKGl3NV5FV4uXjh6eyJp7MnTgYnkvKTOJFzwvYqKC3A0+ns5x7OHng5exHhFUGUbxRNfJoQ7hV+zsjJn5yNzkR4RRDhFXFJx+ru5M6AqAEMiBpwSf38lZOxYhHB2ejMjCtmcH/8/fyR+AeP//Y4AB5OHjzS/RFuanFTrRyltGsACgwMxGQykZycXGZ7cnIyoaGhF9w3Ly+PBQsW8Oyzz5bZ/ud+ycnJhIWFlenzr5fE/srV1RVX179PxSJy6a5sFczlLYP49UAq03/Yyzu3d7N3SXXSqHajWLB/ARuSNrA9dTvRQdHV9l1F5iKOZx/nWNYxTuWeok9EH1r4V+yu2qpktVo5lXuKUM/QC/44J+UlMXPzTH44+gNw9tLPLa1uwWK1kJyfTGp+Kin5KSTnJ1NkLiKlIIWUghTgbJC4rtl1jGgzgia+TcrtvwMdqv7g6jhXkyuvXfkaY34ew9aUrfQM68kzvZ4h3Cvc3qWdl10DkIuLC127diU+Pt42B8hisRAfH8/9999/wX2//PJLioqK+Oc//1lme5MmTQgNDSU+Pt4WeLKzs1m/fj1jx46tjsMQkUp66to2XHMojR93J/PL/hSu1G3xlRbqGcrgpoNZfGgx7+98n9lXza6yvk/nnmbd6XWsS1zHrrRdnM49XeZy0Lzd81h03SIC3QOr7DsvpMRcwo/Hf+STPZ+wJ30Pzf2a81j3x+gZ3rNMu5ziHD7a9RGf7PmEQnMhBgzc0OIGxnceTwP3Buf0a7VaySjMICkvicS8RApKC7i84eX4uvrWyHHVNx7OHnwQ9wFHMo/Q0r9lrRz1+Su73wW2cOFCRo0axTvvvEOPHj2YNWsWX3zxBfv27SMkJISRI0cSERHB9OnTy+zXt29fIiIiWLBgwTl9vvTSS7z44otlboPfsWOHboMXqUWmfrOLeeuO4+XqxIJ7L6N9hH50KutY1jGuW3IdVqx8dd1XtPRvedF9nSk8w7s73mXNqTUcyz52zufezt5E+UaRVpBGYl4ivSN682b/N6v1NvzMwkwWHVzE/L3zbSM0f9Uvsh+PdnuUMM8wFu5fyDs73iGzKBOALsFdmNRjEm0atKm2+qT2qTOToAGGDRtGamoqU6ZMISkpiU6dOrF8+XLbJOaEhASMxrL/ge3fv581a9bw008/ldvnY489Rl5eHvfeey+ZmZn06dOH5cuXVyj8iEjNeOLaNhxIzmXdkXTu+GgjX43tSeMGmg9UGVG+UVzd+Gp+Ov4TH+/+mOf7PH9R/RzPPs59P99HQk4CACaDifaB7ekV3otuId1o6teUBm4NMBgMHDxzkOFLh/P7qd/5ZM8njGo3qioPCYD8knw+3fspH+76kLySPODsXVG3tr6VgVEDmb9vPvP3zWfViVWsObWGQPdAkvLO3uQS5RPFg10f5KrIq2r9CITYl91HgGojjQCJ1IzswhJufecP9iRm07iBB4vG9CLIu+x8vOJSCy5OWuzvfHam7uS2ZbfhbHTmp5t+qvRlqS3JW5jwywQyizKJ8Irg4W4P29Z6OZ8v9n/Bc388h5PRiU8HfUq7Bu0u9TAAKLWUsuTQEt7c9iapBWcX02zp35I72t3BwKiBZW7bPpx5mJc3vsza02sBCHQP5L5O9zG0+dAKT96V+qfOrANUWykAidSclJxCbnxrLScyCmgX7sP7o7qx82QWvx1MY82hNI6m5dGrWQMm9G9BTNNz53EI3L7sdralbuP/Ov4f93e+8PzJv/rh6A88ueZJSiwltG/Qntn9Z1coQFmtVh5a9RDxCfE08m7EF4O/wNO58qN3pZZSjmcfZ1/GPvaf2c+qE6s4mnUUOLuo3/jO47mmyTXnvcxmtVr5/fTvnMw5yXXNrsPD2aPSNUj9ogB0iRSARGrWsbQ8bnxrLel55y4Y91cxTQKY0L8FPZs10OWNv/jp2E88vPph/F39+emmn3BzuvDl/hJLCe/vfJ83t70JwFWRV/Hi5S9WaO2ZP2UVZXHTdzeRlJfEoCaD+L/o/8PHxQdfF1+cTc6k5qeyPXU7O1J3sD11O0ezjmIwGDAZTDgZnTAajKQVpFFkLirTr5+rH/d2vJdhrYbhYnKp/MkQh6YAdIkUgERq3s6TWQx/7w9yi0ppEuhJ3xaB9GkeSJNAT+auPcYXm05QYj7719VVrYN55/auOOt5YsDZkZR/LP4Hp3JPMbXnVG5qedN52+5M3cm/1v2L/Wf2A/DPNv/kkW6PnHedmgvZnLyZO3+885yVjN1Mbudd/fd/uTu508q/Fa0CWtEmoA0Dogbg7eJd6VpEQAHokikAidhHak4RxWYLEX7njkSczizgndWHmb/hBMVmC+/e3pUB7S68Xpgj+Xj3x8zYNIOmvk1ZMmTJOSNkucW5vL71dRbsW4AVK76uvjza7dFLfqL84oOL+WDXB5wpPENOcY7tdnmjwUhzv+ZEB0UTHRRN64DWmAwmSq2lmC1mSiwl+Lv5E+kdqQe6SpVRALpECkAitde0ZXt599cjDGwXytu3d7V3ObVGbnEusYtiySvJ463Yt+gT0cf22e+nfmfK2imk5J+9lfwfTf/Bo90fJcAtoEprMFvM5Jbkkl2UTYB7wEXNCxK5FJX5/VbsFpE65YYuZx8ZEL8vmcz8C88ZciReLl4MbT4UgE/2fAKcXUDwlU2vMObnMaTkpxDpHck7V7/D9L7Tqzz8wNnnQvm6+hLpE6nwI7WeApCI1CmtQ31oG+ZDidnKdzsS7V1OrTKizQiMBiNrT69lZcJKRv4wkrm75wIwrNUwvr7uaz03TOQ/FIBEpM75cxToq80n7VxJ7dLQuyH9G/UHYMIvE9iVvgsfFx9m9ZvFU5c99bd3h4k4EgUgEalzhnSKwGQ0sO1EJodTc+1dTq1ye9vbbX/uEtyFRYMX0b9xfztWJFI7ablMEalzgrxduaJlECv3pbB4yykeiWtl75JqjU5BnXj6sqexWC3c1PImrYosch4aARKROunPy2CLt57CYtHNrH8yGAzc0uoWbm19q8KPyAUoAIlInRTbJgRvNydOZRbwx9F0e5cjInWMApCI1Eluzib+0TEMgK+3nLJtz8ovYXb8QZ75djcFxWZ7lScitZzGR0WkzrqxS0PmbzjBDzsTmXh1S+ZvSGDu78fIKSq1tXnmuqp5UrmI1C8aARKROqtrY38aBXiQV2ym78u/MHvlIXL+8ywxgLlrj7H2cJqdqxSR2kgBSETqLIPBYJsMbbZYaRPmw9v/7EL8xCu4LaYRAI9+uYOcwhJ7likitZAugYlInfZ/lzfDgIG24T7Etgm2PQT0iUFt+PVAKifPFDBt2V6m39DRzpWKSG2iESARqdPcXUxMiG3B1W1DyjwB3cvViX/fHA3A/A0nWLU/xV4likgtpAAkIvXWZU0bMLp3FACTvtpJVr4uhYnIWQpAIlKvPRbXmiaBniRlF3LH3A38cURrBomIApCI1HPuLiZeuSUaN2cjWxMyufXdP7jlnXX8figNq1UrSIs4KgUgEan3ujTyJ/7hfvzzska4mIxsOJrBiPfXc8s760jKKrR3eSJiBwpAIuIQIvzcef76Dqx+rB939IrCxcnIxmNnuOOjDbpNXsQBKQCJiEMJ83XnmevaseKhywnydmVfUg73fbaFErPF3qWJSA1SABIRh9S4gScf3dEdDxcTvx1MY9JXOzUnSMSBKACJiMNqH+HLnBFdMBkNfLXlJK/+fNDeJYlIDVEAEhGHdmWrYJ6/vj0Ar8cfZOHGBDtXJCI1QQFIRBze8B6NuP/K5gA8uXgX6w5rrSCR+k4BSEQEeHhAS66LDqfUYmXsZ5tJSM+3d0kiUo0UgEREOPtk+Zdv6kh0Q18y80u4a95G3R4vUo8pAImI/Iebs4l3R3YjxMeVgym5PDB/K2aL7gwTqY/sHoDmzJlDVFQUbm5uxMTEsGHDhgu2z8zMZNy4cYSFheHq6krLli1ZtmyZ7fNnnnkGg8FQ5tW6devqPgwRqSdCfNx4b2Q33JyN/LI/lZeW77N3SSJSDewagBYuXMjEiROZOnUqW7ZsITo6mri4OFJSUsptX1xczNVXX82xY8dYtGgR+/fv57333iMiIqJMu3bt2pGYmGh7rVmzpiYOR0TqiY4N/fj3zdEAvPvrERZtPmnnikSkqjnZ88tnzpzJPffcw+jRowF4++23Wbp0KR9++CGTJk06p/2HH35IRkYGa9euxdnZGYCoqKhz2jk5OREaGlrhOoqKiigqKrK9z87OruSRiEh984+O4RxIzuX1+IM8sXgnzYO96BTpZ++yRKSK2G0EqLi4mM2bNxMbG/vfYoxGYmNjWbduXbn7fPvtt/Ts2ZNx48YREhJC+/btmTZtGmazuUy7gwcPEh4eTtOmTRkxYgQJCRde12P69On4+vraXpGRkZd+gCJS5z3YvwVXtw2huNTCmE82k5KjB6eK1Bd2C0BpaWmYzWZCQkLKbA8JCSEpKancfY4cOcKiRYswm80sW7aMp59+mldeeYXnn3/e1iYmJoa5c+eyfPly3nrrLY4ePUrfvn3Jyck5by2TJ08mKyvL9jpx4kTVHKSI1GlGo4GZt0TTPNiLpOxCxn66haLSsv/DtSXhDDN+3MeJDN02L1KX2PUSWGVZLBaCg4N59913MZlMdO3alVOnTjFjxgymTp0KwDXXXGNr37FjR2JiYmjcuDFffPEFd911V7n9urq64urqWiPHICJ1i7ebM+/e3pUhc35n8/EzPPPtHqYNbc/vh9KZ88sh1h05u2ji11tO8cX/9SQywMPOFYtIRdgtAAUGBmIymUhOTi6zPTk5+bzzd8LCwnB2dsZkMtm2tWnThqSkJIqLi3FxcTlnHz8/P1q2bMmhQ4eq9gBExGE0DfLi9eGduXPuRuZvSGD9kXSOpOUB4GQ0EODpQmJWIcPf+4Mv/q8n4X7udq5YRP6O3S6Bubi40LVrV+Lj423bLBYL8fHx9OzZs9x9evfuzaFDh7BYLLZtBw4cICwsrNzwA5Cbm8vhw4cJCwur2gMQEYdyZatgHo1rBcCRtDzcnI3c0SuK1Y9dyffj+xDVwIOTZwoY8f56UrI1V0iktrPrbfATJ07kvffeY968eezdu5exY8eSl5dnuyts5MiRTJ482dZ+7NixZGRkMGHCBA4cOMDSpUuZNm0a48aNs7V55JFHWL16NceOHWPt2rUMHToUk8nE8OHDa/z4RKR+GXtFM54Y1JqJV7fk98ev4pnr2hHh506wjxuf3XMZEX7uHE3LY8T760nPLfr7DkXEbuw6B2jYsGGkpqYyZcoUkpKS6NSpE8uXL7dNjE5ISMBo/G9Gi4yM5Mcff+Shhx6iY8eOREREMGHCBB5//HFbm5MnTzJ8+HDS09MJCgqiT58+/PHHHwQFBdX48YlI/WIwGLj38mblfhbh5878ey7jlnfWcTAll9s/2MCisT3xcKlTUy1FHIbBarVqnff/kZ2dja+vL1lZWfj4+Ni7HBGpQw6n5jLsnXWk5RZza/dIXryxo71LEnEYlfn9tvujMERE6pNmQV68fmtnDAZYsPEE3+84be+SRKQcCkAiIlWsV/NA7ut39lLZ5K93ao0gkVpIAUhEpBo8GNuSzo38yCksZcKCrZSaLX+/k4jUGAUgEZFq4Gwy8vqtnfF2dWJLQiavxR+0d0ki8hcKQCIi1SQywINpN3QA4I1fDrHucLqdKxKRPykAiYhUo8HR4QzrFonVCk8t2alLYSK1hAKQiEg1e/IfbfD3cOZwah6LNp+0dzkiggKQiEi183Fz5v6rWgDw6s8HKCg2/80eIlLdFIBERGrAPy9rRISfO8nZRXz4+1F7lyPi8BSARERqgKuTiUfiWgLw9qrDnMkrtnNFIo5NAUhEpIYMiY6gTZgPOUWlvPHLIXuXI+LQFIBERGqI0Whg0jWtAfhk3XHbCtE5hSV8veUkj3y5nU/+OI7Zokc0ilQ3PaZYRKQGXd4ikF7NGrD2cDqTvt6Bp4sTqw6kUlx69vb4RZtP8tXmk7x8U0dahnjbuVqR+ksjQCIiNchgMPD4wLOjQL8fSuenPckUl1poGuTJ7Zc1xsvViW0nMrn29d94dcUBikp1x5hIdTBYrVaNtf6P7OxsfH19ycrKwsfHx97liEg99PLyffyyP5WrWgfxj47htA71xmAwkJhVwFOLdxG/LwWAViHeLLj3Mvw9XexcsUjtV5nfbwWgcigAiYg9Wa1WvtuRyDPf7iYjr5jJ17Tm/65oZu+yRGq9yvx+6xKYiEgtYzAYuC46nAdjzy6e+PPeZDtXJFL/KACJiNRS/duEALD5+BnSc4vsXI1I/aIAJCJSS0X4udM2zAeLFX7Zn2rvckTqFQUgEZFaLLbt2VGgn/foMphIVVIAEhGpxQb8JwD9ejCVwhLdEi9SVRSARERqsXbhPoT6uJFfbGbd4XR7lyNSbygAiYjUYgaDgdi2wQCs0N1gIlVGAUhEpJaL/c/dYPF7k7HoOWEiVULPAhMRqeV6NmuAp4uJ5Owidp3OomNDP3uXJDWo1GzhQHIuWxLOcDw9jwBPV0J8XAnxcSPExxU3ZxNmi5USsxWzxYrBAI0beODqZLpgv2aLleTsQk5nFnAqswAfd2f6tQzCYDDU0JHZlwKQiEgt5+pk4vKWQfywK4mf9yQrANmR1WqtkYCQV1TKR78fZc2hNHaczCK/uHIT4J1NBlqFetMhwo+ODX3xcXPmeEYeCen5JGScfSVmFWL+nxHFy1sG8dKNHQjzdS+zPaughHdWH2b1gVQKSswUlVgoLDFTXGqhcaAHV7YKpl+rYDpF+mEynj0/hSVmDqfmcigll6gGnkRH+l3SOalqehRGOfQoDBGpbb7afJKHv9xOmzAffpjQ197lOJRTmQUs35XE8l2JbEnIJNjblaZBnjQN9KJpkCcdG/rSOdIfo/HcYJSRV8zXW06SllvMwPahRDf0/dsAFb83mSnf7OZUZoFtm5erE50i/WgR4kVWQQkp2UUkZxeSlF1IcakFJ6MBJ5MRJ6OBYrOFnMLSCh2bk9FAmJ8bYT7ubD+ZSVGpBW83J/51XTuGdo6g2Gzhk3XHeeOXQ2Tml/xtf34eznSI8OXUmQKOpefx13w1oG0Ikwe1oUmgZ4Vquxh6FtglUgASkdrmTF4xXZ9fgcUKax6/kob+HtX6fSVmC3sTs0nKKsTT1QlPVye8XE14uzkT7O1a7y+TlJotfLY+ga+2nGTHyay/bR/q48agDmH8IzqMTg392Jxwhs/+OM6ynUkUmy22ds2Dvbipa0OGdo4gxMetTB/J2YX867vdLNuZBEBDf3fGXNGM7lEBNA/2so2s/B2r1cqpzAJ2nMxix8ksdp7KpLDEQqMAD9urcQMPGvp7EOTtauv3UEouD3+5ne0nMoGzo0GHU3JtQaxliBfjrmxOqI8bbs4m3JxNmIwGtp/IZNWBVFbvTyH7f4KXr7szUYGe7DqVhdlixclo4PaejZnQvwV+HlX/gF8FoEukACQitdEt76xjw9EM/nVdO0b1iqrSvs0WKyv3pbDpWAZbEs6w42QWRaWWctve2KUhr9wSXaXfX9XSc4vYn5zDweRcDiTncDqzgFKLlRKzBbPl7FyZTpH+jO3XjCBv1zL7Hk/PY+IX29l8/AwABgN0jwrgmvahXN4yiMz8Eo6k5nIkLY/DKbmsO5JeZsTF29WJnKL/vu8Q4UtUoCcr9iRRWHL2nBoN0MDLFS9XJ7xcnfB0NbH7VDY5RaWYjAbu7tOECbEt8HCp2ZkqpWYL7/x6hFk/H6DEfDYehPq4MfHqltzYteEFQ1ip2cK2E5nsT86hcYAnLUO8CPpPWD6YnMO0ZXttK5r7uDnx6MDW3H5Z4yqtXwHoEikAiUht9N6vR3hh2V56NAlg4b2XVdkozLYTmTy1ZCe7TmWX2e7j5kSTQE8KSszkFZnJLSolq+DsZZClD/ShXbhvlXx/RVgsVtYeTmflvhQa+rvTs1kDWoV42y47lZgt/HEknR92JRG/N5nk7Io9O83DxcSdvZtwz+VN8XFz4otNJ3j2uz3kFZvxcnVi4tUtGRwdfk5I+quiUjO/Hkjj+x2n+XlPMnnFZtycjQyJjmDEZY1sc7ZyCktYtjORRZtPsvHYmXL7im7oy7QbOtTouS3P3sRsXo8/SIeGvozu1QR3lwtPqK6o3w6m8sLSvexLyuHB2BY8GNuySvr9U50KQHPmzGHGjBkkJSURHR3N7Nmz6dGjx3nbZ2Zm8uSTT/L111+TkZFB48aNmTVrFoMGDbroPv+XApCI1EYnMvLp9+9VmC3WKhkFysov4eUf9/H5hgSs1rOB59qO4XRp5EfnRv40DfQ8Z17LA/O38u3201zdNoT3Rna7pO+viMSsAhZtOsnCTSc4eaagzGcBni5c1jQAN2cT8XtTbOHsT40CPGgZ4k3LEC/bXVEmowFnk4GiUgsf/n7MdrnH192Z1qHerD+aAUCPJgHMvCW60pcaC0vM7D6dRfNgb3zdnc/bLiW7kNTcIvKKzOQVlZJbVIqnq4krWgZX+FJXXWW2WFm89RSDOoRW+QhXnQlACxcuZOTIkbz99tvExMQwa9YsvvzyS/bv309wcPA57YuLi+nduzfBwcE88cQTREREcPz4cfz8/IiOjr6oPsujACQitdWfo0BORgML7r2MblEBle4jJaeQZTsSmb3yEOl5xQDc0DmCyYPaXHCkA87OExnw6mosVvju/j50aFg9IxWpOUX/mQ+TaJtI6+3mxMB2oSTnFLHxaAYF//NokEAvF65uG8rA9qF0j/L/2x9Xq9XKT3uS+feP+zmYkguAi8nII3EtuatP03ofROqjOhOAYmJi6N69O2+88QYAFouFyMhIxo8fz6RJk85p//bbbzNjxgz27duHs3P5ybqyfZZHAUhEaiur1cr987eydEciwd6ufP9AH4K93f52v5Nn8vlxdzLLdyWy6fgZ/vybv3mwF89f357LmjaocA0PLdzG4q2nuKp1MB/e0f1iD+W8ftiZyJNLdpHxn3AW0ySAW3tEMrBdmO1STHGphR0nM1l3OJ3c4lKubBVM96iAiwotZouVb7ad4vdD6dzdtwltwvT3fl1VJwJQcXExHh4eLFq0iOuvv962fdSoUWRmZvLNN9+cs8+gQYMICAjAw8ODb775hqCgIG677TYef/xxTCbTRfUJUFRURFHRf68XZ2dnExkZqQAkIrVSXlEp18/5nYMpufSICuCze2JwNpW/sH9uUSnTlu3l8/UJZbZHR/pxfadwRsQ0xsWpcg8FOJqWR+zM1WcvZdzXi86N/C/6WP4qM7+Yqd/u5pttpwFoHerNv2+Opn2EfefDSN1RmQBkt4UQ09LSMJvNhISElNkeEhLCvn37yt3nyJEjrFy5khEjRrBs2TIOHTrEfffdR0lJCVOnTr2oPgGmT5/Ov/71r0s/KBGRGuDp6sTbt3dlyBu/s+FYBtOW7WXq4HbntPvjSDqPLtrOiYyzc2d6NDl7J1Ncu1DC/dzPaV9RTQI9Gdo5gkWbT/Lqzwf5+M6KzbG0Wq3kF5vJKighM7+ElJxCTmUWcDqzgNOZhaw5lEZqThFGA9zXrzkP9G9R6XAmUlF1aiVoi8VCcHAw7777LiaTia5du3Lq1ClmzJjB1KlTL7rfyZMnM3HiRNv7P0eARERqq2ZBXrxySzT/98lmPvr9GGsPpdO9iT/dowLoFOnHx+uO8+HvR7FaIcLPnRk3d6RXs8Aq+/4HrmrB4q2n+PVAKpuPZ9C1cQBpuUV8veUki7eeJj237F1YZouV7MIS263V59M0yJNXbo6uslElkfOxWwAKDAzEZDKRnFz26cbJycmEhoaWu09YWBjOzs6YTP+9Ha9NmzYkJSVRXFx8UX0CuLq64up64Yl/IiK1TVy7UB6Na8W/f9rP/uQc9ifn8OkfZS91De8RyROD2uDtdv47ki5GowYe3Ny1IQs2nr1tPNzPnRV7kimtwMNanU0GfN1dCPRyIcLPnQh/d8L93GkU4MFVrYNxc66aW65FLsRuAcjFxYWuXbsSHx9vm69jsViIj4/n/vvvL3ef3r178/nnn2OxWDAazw6LHjhwgLCwMFxczq4oWdk+RUTqsnFXNmdY90g2Hctgw9EzbDyWwe7TWQR7uzH9hg5c2bpid79e7Hd/teUk209msf0/qyV3ivTj1u6RdGjoi4H/Tkg2Gs/eau7r7oy7s6neryQttZ9dL4FNnDiRUaNG0a1bN3r06MGsWbPIy8tj9OjRAIwcOZKIiAimT58OwNixY3njjTeYMGEC48eP5+DBg0ybNo0HHnigwn2KiNQ3gV6uDGwfxsD2YcDZtWhcnYzVHjIiAzx4MLYl8zckcHXbEIZ1j6R1qG4ckbrBrgFo2LBhpKamMmXKFJKSkujUqRPLly+3TWJOSEiwjfQAREZG8uOPP/LQQw/RsWNHIiIimDBhAo8//niF+xQRqe9q8hLSuCubM+7K5jX2fSJVxe4rQddGWgdIRESk7qnM77fuLxQRERGHowAkIiIiDkcBSERERByOApCIiIg4HAUgERERcTgKQCIiIuJwFIBERETE4SgAiYiIiMNRABIRERGHowAkIiIiDkcBSERERByOApCIiIg4HAUgERERcThO9i6gNrJarcDZp8qKiIhI3fDn7/afv+MXogBUjpycHAAiIyPtXImIiIhUVk5ODr6+vhdsY7BWJCY5GIvFwunTp/H29sZgMFRp39nZ2URGRnLixAl8fHyqtG8pS+e65uhc1xyd65qjc11zqupcW61WcnJyCA8Px2i88CwfjQCVw2g00rBhw2r9Dh8fH/0HVUN0rmuOznXN0bmuOTrXNacqzvXfjfz8SZOgRURExOEoAImIiIjDUQCqYa6urkydOhVXV1d7l1Lv6VzXHJ3rmqNzXXN0rmuOPc61JkGLiIiIw9EIkIiIiDgcBSARERFxOApAIiIi4nAUgERERMThKADVoDlz5hAVFYWbmxsxMTFs2LDB3iXVedOnT6d79+54e3sTHBzM9ddfz/79+8u0KSwsZNy4cTRo0AAvLy9uvPFGkpOT7VRx/fHiiy9iMBh48MEHbdt0rqvOqVOn+Oc//0mDBg1wd3enQ4cObNq0yfa51WplypQphIWF4e7uTmxsLAcPHrRjxXWT2Wzm6aefpkmTJri7u9OsWTOee+65Ms+S0rm+OL/++iuDBw8mPDwcg8HAkiVLynxekfOakZHBiBEj8PHxwc/Pj7vuuovc3NwqqU8BqIYsXLiQiRMnMnXqVLZs2UJ0dDRxcXGkpKTYu7Q6bfXq1YwbN44//viDFStWUFJSwoABA8jLy7O1eeihh/juu+/48ssvWb16NadPn+aGG26wY9V138aNG3nnnXfo2LFjme0611XjzJkz9O7dG2dnZ3744Qf27NnDK6+8gr+/v63Nyy+/zOuvv87bb7/N+vXr8fT0JC4ujsLCQjtWXve89NJLvPXWW7zxxhvs3buXl156iZdffpnZs2fb2uhcX5y8vDyio6OZM2dOuZ9X5LyOGDGC3bt3s2LFCr7//nt+/fVX7r333qop0Co1okePHtZx48bZ3pvNZmt4eLh1+vTpdqyq/klJSbEC1tWrV1utVqs1MzPT6uzsbP3yyy9tbfbu3WsFrOvWrbNXmXVaTk6OtUWLFtYVK1ZYr7jiCuuECROsVqvOdVV6/PHHrX369Dnv5xaLxRoaGmqdMWOGbVtmZqbV1dXVOn/+/Joosd649tprrXfeeWeZbTfccIN1xIgRVqtV57qqANbFixfb3lfkvO7Zs8cKWDdu3Ghr88MPP1gNBoP11KlTl1yTRoBqQHFxMZs3byY2Nta2zWg0Ehsby7p16+xYWf2TlZUFQEBAAACbN2+mpKSkzLlv3bo1jRo10rm/SOPGjePaa68tc05B57oqffvtt3Tr1o2bb76Z4OBgOnfuzHvvvWf7/OjRoyQlJZU5176+vsTExOhcV1KvXr2Ij4/nwIEDAGzfvp01a9ZwzTXXADrX1aUi53XdunX4+fnRrVs3W5vY2FiMRiPr16+/5Br0MNQakJaWhtlsJiQkpMz2kJAQ9u3bZ6eq6h+LxcKDDz5I7969ad++PQBJSUm4uLjg5+dXpm1ISAhJSUl2qLJuW7BgAVu2bGHjxo3nfKZzXXWOHDnCW2+9xcSJE3niiSfYuHEjDzzwAC4uLowaNcp2Psv7O0XnunImTZpEdnY2rVu3xmQyYTabeeGFFxgxYgSAznU1qch5TUpKIjg4uMznTk5OBAQEVMm5VwCSemPcuHHs2rWLNWvW2LuUeunEiRNMmDCBFStW4ObmZu9y6jWLxUK3bt2YNm0aAJ07d2bXrl28/fbbjBo1ys7V1S9ffPEFn332GZ9//jnt2rVj27ZtPPjgg4SHh+tc13O6BFYDAgMDMZlM59wNk5ycTGhoqJ2qql/uv/9+vv/+e3755RcaNmxo2x4aGkpxcTGZmZll2uvcV97mzZtJSUmhS5cuODk54eTkxOrVq3n99ddxcnIiJCRE57qKhIWF0bZt2zLb2rRpQ0JCAoDtfOrvlEv36KOPMmnSJG699VY6dOjA7bffzkMPPcT06dMBnevqUpHzGhoaes6NQqWlpWRkZFTJuVcAqgEuLi507dqV+Ph42zaLxUJ8fDw9e/a0Y2V1n9Vq5f7772fx4sWsXLmSJk2alPm8a9euODs7lzn3+/fvJyEhQee+kvr378/OnTvZtm2b7dWtWzdGjBhh+7POddXo3bv3Ocs5HDhwgMaNGwPQpEkTQkNDy5zr7Oxs1q9fr3NdSfn5+RiNZX8KTSYTFosF0LmuLhU5rz179iQzM5PNmzfb2qxcuRKLxUJMTMylF3HJ06ilQhYsWGB1dXW1zp0717pnzx7rvffea/Xz87MmJSXZu7Q6bezYsVZfX1/rqlWrrImJibZXfn6+rc2YMWOsjRo1sq5cudK6adMma8+ePa09e/a0Y9X1x1/vArNada6ryoYNG6xOTk7WF154wXrw4EHrZ599ZvXw8LB++umntjYvvvii1c/Pz/rNN99Yd+zYYR0yZIi1SZMm1oKCAjtWXveMGjXKGhERYf3++++tR48etX799dfWwMBA62OPPWZro3N9cXJycqxbt261bt261QpYZ86cad26dav1+PHjVqu1Yud14MCB1s6dO1vXr19vXbNmjbVFixbW4cOHV0l9CkA1aPbs2dZGjRpZXVxcrD169LD+8ccf9i6pzgPKfX300Ue2NgUFBdb77rvP6u/vb/Xw8LAOHTrUmpiYaL+i65H/DUA611Xnu+++s7Zv397q6upqbd26tfXdd98t87nFYrE+/fTT1pCQEKurq6u1f//+1v3799up2rorOzvbOmHCBGujRo2sbm5u1qZNm1qffPJJa1FRka2NzvXF+eWXX8r9+3nUqFFWq7Vi5zU9Pd06fPhwq5eXl9XHx8c6evRoa05OTpXUZ7Ba/7LcpYiIiIgD0BwgERERcTgKQCIiIuJwFIBERETE4SgAiYiIiMNRABIRERGHowAkIiIiDkcBSERERByOApCIiIg4HAUgEZFyREVFMWvWLHuXISLVRAFIROzujjvu4PrrrwegX79+PPjggzX23XPnzsXPz++c7Rs3buTee++tsTpEpGY52bsAEZHqUFxcjIuLy0XvHxQUVIXViEhtoxEgEak17rjjDlavXs1rr72GwWDAYDBw7NgxAHbt2sU111yDl5cXISEh3H777aSlpdn27devH/fffz8PPvgggYGBxMXFATBz5kw6dOiAp6cnkZGR3HfffeTm5gKwatUqRo8eTVZWlu37nnnmGeDcS2AJCQkMGTIELy8vfHx8uOWWW0hOTrZ9/swzz9CpUyc++eQToqKi8PX15dZbbyUnJ6d6T5qIXBQFIBGpNV577TV69uzJPffcQ2JiIomJiURGRpKZmclVV11F586d2bRpE8uXLyc5OZlbbrmlzP7z5s3DxcWF33//nbfffhsAo9HI66+/zu7du5k3bx4rV67kscceA6BXr17MmjULHx8f2/c98sgj59RlsVgYMmQIGRkZrF69mhUrVnDkyBGGDRtWpt3hw4dZsmQJ33//Pd9//z2rV6/mxRdfrKazJSKXQpfARKTW8PX1xcXFBQ8PD0JDQ23b33jjDTp37sy0adNs2z788EMiIyM5cOAALVu2BKBFixa8/PLLZfr863yiqKgonn/+ecaMGcObb76Ji4sLvr6+GAyGMt/3v+Lj49m5cydHjx4lMjISgI8//ph27dqxceNGunfvDpwNSnPnzsXb2xuA22+/nfj4eF544YVLOzEiUuU0AiQitd727dv55Zdf8PLysr1at24NnB11+VPXrl3P2ffnn3+mf//+RERE4O3tze233056ejr5+fkV/v69e/cSGRlpCz8Abdu2xc/Pj71799q2RUVF2cIPQFhYGCkpKZU6VhGpGRoBEpFaLzc3l8GDB/PSSy+d81lYWJjtz56enmU+O3bsGP/4xz8YO3YsL7zwAgEBAaxZs4a77rqL4uJiPDw8qrROZ2fnMu8NBgMWi6VKv0NEqoYCkIjUKi4uLpjN5jLbunTpwldffUVUVBROThX/a2vz5s1YLBZeeeUVjMazA95ffPHF337f/2rTpg0nTpzgxIkTtlGgPXv2kJmZSdu2bStcj4jUHroEJiK1SlRUFOvXr+fYsWOkpaVhsVgYN24cGRkZDB8+nI0bN3L48GF+/PFHRo8efcHw0rx5c0pKSpg9ezZHjhzhk08+sU2O/uv35ebmEh8fT1paWrmXxmJjY+nQoQMjRoxgy5YtbNiwgZEjR3LFFVfQrVu3Kj8HIlL9FIBEpFZ55JFHMJlMtG3blqCgIBISEggPD+f333/HbDYzYMAAOnTowIMPPoifn59tZKc80dHRzJw5k5deeon27dvz2WefMX369DJtevXqxZgxYxg2bBhBQUHnTKKGs5eyvvnmG/z9/bn88suJjY2ladOmLFy4sMqPX0RqhsFqtVrtXYSIiIhITdIIkIiIiDgcBSARERFxOApAIiIi4nAUgERERMThKACJiIiIw1EAEhEREYejACQiIiIORwFIREREHI4CkIiIiDgcBSARERFxOApAIiIi4nD+H32nMSN1ua+PAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(obj)\n",
+    "plt.xlabel(\"Iteration\")\n",
+    "plt.ylabel(\"Objective\")\n",
+    "plt.yscale(\"log\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.plot(error)\n",
+    "plt.xlabel(\"Iteration\")\n",
+    "plt.ylabel(\"Error\")\n",
+    "plt.yscale(\"log\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.plot(stepsize)\n",
+    "plt.xlabel(\"Iteration\")\n",
+    "plt.ylabel(\"Stepsize\")\n",
+    "plt.yscale(\"log\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.plot(sparsity)\n",
+    "plt.xlabel(\"Iteration\")\n",
+    "plt.ylabel(\"Shift sparsity\")\n",
+    "# plt.yscale(\"log\")\n",
+    "plt.show()\n",
+    "\n",
+    "if any(duality_gap):\n",
+    "    plt.plot(duality_gap)\n",
+    "    plt.xlabel(\"Iteration\")\n",
+    "    plt.ylabel(\"Duality gap\")\n",
+    "    plt.yscale(\"log\")\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 12 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# make subplot with condition specific parameter sets on the columns.\n",
+    "# on the first row, plot the observed func score on x and predicted func score on y (y_pred_fn(params, data)) \n",
+    "# on the second row, plot the predicted latent phenotype (φ_pred_fn(params, data)) on x and predicted function score (y_pred_fn(params, data))\n",
+    "y_pred = y_pred_fn(params, scaled_data)\n",
+    "φ_pred = φ_pred_fn(params, scaled_data)\n",
+    "fig, ax = plt.subplots(2, len(params['β'].keys()), figsize=(12, 6))\n",
+    "for i, d in enumerate(params['β'].keys()):\n",
+    "    sns.histplot(x=scaled_data[\"y\"][d], y=y_pred[d], bins=200, cmap=\"viridis\", cbar=True, cbar_kws={\"label\": \"count\"}, ax=ax[0, i])\n",
+    "    # add correlation\n",
+    "    ax[0, i].annotate(f\"Pearson $r={scipy.stats.pearsonr(scaled_data['y'][d], y_pred[d]).statistic:.2f}$\",\n",
+    "                    xy=(0.01, 0.95), xycoords=\"axes fraction\")\n",
+    "    # mean squared error\n",
+    "    mse = jnp.mean((scaled_data[\"y\"][d] - y_pred[d])**2)\n",
+    "    ax[0, i].annotate(f\"MSE = {mse:.2f}\",\n",
+    "                    xy=(0.01, 0.85), xycoords=\"axes fraction\")\n",
+    "    ax[0, i].plot([-6, 3], [-6, 3], \"k--\")\n",
+    "    ax[0, i].set_xlim(-6, 3)\n",
+    "    ax[0, i].set_ylim(-4, 2)\n",
+    "    ax[0, i].set_xlabel(\"observed functional score\")\n",
+    "    ax[0, i].set_ylabel(\"predicted functional score\")\n",
+    "    ax[0, i].set_title(d)\n",
+    "    sns.histplot(x=φ_pred[d], y=scaled_data[\"y\"][d], bins=300, cmap=\"viridis\", cbar=True, cbar_kws={\"label\": \"count\"}, ax = ax[1, i])\n",
+    "    \n",
+    "    # plot sigmoid using fit parameters\n",
+    "    x = np.linspace(-8  , 5, 100)\n",
+    "    y = g_pred_fn(params[\"θ\"], x)\n",
+    "    ax[1, i].plot(x, y, \"r\")\n",
+    "    # ax[1, i].plot([-6, 3], [-6, 3], \"k--\")\n",
+    "    ax[1, i].set_xlim(-4, 4)\n",
+    "    ax[1, i].set_ylim(-6, 3)\n",
+    "    ax[1, i].set_xlabel(\"predicted latent phenotype\")\n",
+    "    ax[1, i].set_ylabel(\"observed functional score\")\n",
+    "    ax[1, i].set_title(d)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'theta_bias': Array([-3.5], dtype=float64),\n",
+       " 'theta_scale': Array([6.], dtype=float64),\n",
+       " 'Δ': array([[ 0.        , -0.14617129, -0.11834745, ..., -0.31510181,\n",
+       "          0.00039893,  0.        ],\n",
+       "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "          0.        ,  0.        ],\n",
+       "        [-0.        , -0.        ,  0.        , ..., -0.19540583,\n",
+       "         -0.0108999 , -0.        ]]),\n",
+       " 'θ': {'theta_bias': Array([-6.11416316], dtype=float64),\n",
+       "  'theta_scale': Array([10.], dtype=float64)},\n",
+       " 'β': {'Delta': Array([ 0.00134641, -0.32854641, -0.15633735, ...,  0.19753629,\n",
+       "          0.10689484,  0.01130504], dtype=float64),\n",
+       "  'Omicron_BA1': Array([ 0.00134641, -0.18237512, -0.0379899 , ...,  0.5126381 ,\n",
+       "          0.10649591,  0.01130504], dtype=float64),\n",
+       "  'Omicron_BA2': Array([ 0.00134641, -0.18237512, -0.0379899 , ...,  0.31723226,\n",
+       "          0.09559601,  0.01130504], dtype=float64)},\n",
+       " 'β0': {'Delta': Array(0.17052872, dtype=float64),\n",
+       "  'Omicron_BA1': Array(0., dtype=float64),\n",
+       "  'Omicron_BA2': Array(0.02499871, dtype=float64)}}"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[ 0.         -0.14617129 -0.11834745 ... -0.31510181  0.00039893\n",
+      "  0.        ]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(params[\"Δ\"][0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Delta', 'Omicron_BA1', 'Omicron_BA2']"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list(params[\"β\"].keys())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['β1 (Delta) + -β2 (Omicron_BA1)', '', '-β2 (Omicron_BA1) + β3 (Omicron_BA2)']"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# string format the D matrix to show the beta coefficients\n",
+    "D_str = []\n",
+    "for i, row in enumerate(D):\n",
+    "    D_str.append(\n",
+    "        \" + \".join([f\"{'-' if coef == -1 else ''}β{j+1} ({list(params['β'].keys())[j]})\" \n",
+    "        for j, coef in enumerate(row) if coef != 0.0])\n",
+    "    )\n",
+    "D_str"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x800 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# triangle diff\n",
+    "fig, ax = plt.subplots(3, 1, figsize=(6, 8), sharex=True)\n",
+    "for i, d in enumerate(params[\"Δ\"]):\n",
+    "    # print(params[\"Δ\"][d])\n",
+    "    ax[i].plot(params[\"Δ\"][i])\n",
+    "    # plt.colorbar()\n",
+    "    ax[i].grid()\n",
+    "    ax[i].set_title(D_str[i])\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mutation</th>\n",
+       "      <th>wts</th>\n",
+       "      <th>sites</th>\n",
+       "      <th>muts</th>\n",
+       "      <th>times_seen_Delta</th>\n",
+       "      <th>times_seen_Omicron_BA1</th>\n",
+       "      <th>times_seen_Omicron_BA2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M1F</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1</td>\n",
+       "      <td>F</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>M1I</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1</td>\n",
+       "      <td>I</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>M1K</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1</td>\n",
+       "      <td>K</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>M1L</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1</td>\n",
+       "      <td>L</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>M1N</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1</td>\n",
+       "      <td>N</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10717</th>\n",
+       "      <td>S1252V</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1252</td>\n",
+       "      <td>V</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>65.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10718</th>\n",
+       "      <td>S1252W</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1252</td>\n",
+       "      <td>W</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10719</th>\n",
+       "      <td>S1252Y</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1252</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>151.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10720</th>\n",
+       "      <td>S1252*</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1252</td>\n",
+       "      <td>*</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>33.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10721</th>\n",
+       "      <td>S1252-</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1252</td>\n",
+       "      <td>-</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10722 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      mutation wts  sites muts  times_seen_Delta  times_seen_Omicron_BA1  \\\n",
+       "0          M1F   M      1    F               3.0                     0.0   \n",
+       "1          M1I   M      1    I              10.0                     4.0   \n",
+       "2          M1K   M      1    K               5.0                     0.0   \n",
+       "3          M1L   M      1    L               8.0                     0.0   \n",
+       "4          M1N   M      1    N               1.0                     0.0   \n",
+       "...        ...  ..    ...  ...               ...                     ...   \n",
+       "10717   S1252V   S   1252    V              14.0                    57.0   \n",
+       "10718   S1252W   S   1252    W               8.0                    25.0   \n",
+       "10719   S1252Y   S   1252    Y              35.0                    84.0   \n",
+       "10720   S1252*   S   1252    *              12.0                    33.0   \n",
+       "10721   S1252-   S   1252    -               4.0                     0.0   \n",
+       "\n",
+       "       times_seen_Omicron_BA2  \n",
+       "0                         0.0  \n",
+       "1                         8.0  \n",
+       "2                         0.0  \n",
+       "3                         1.0  \n",
+       "4                         0.0  \n",
+       "...                       ...  \n",
+       "10717                    65.0  \n",
+       "10718                    28.0  \n",
+       "10719                   151.0  \n",
+       "10720                    33.0  \n",
+       "10721                     0.0  \n",
+       "\n",
+       "[10722 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.mutations_df"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "multidms-spike",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py b/notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py
new file mode 100644
index 0000000..724cb54
--- /dev/null
+++ b/notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py
@@ -0,0 +1,87 @@
+import os
+import multiprocessing
+from functools import partial
+import itertools as it
+import argparse
+import json
+
+from papermill import execute_notebook
+
+
+def explode_params_dict(params_dict):
+    """
+    Given a dictionary of model parameters,
+    of which any of the values can be a list of values,
+    compute all combinations of model parameter sets
+    and returns a list of dictionaries representing each
+    of the parameter sets.
+    """
+    varNames = sorted(params_dict)
+    return [
+        dict(zip(varNames, prod))
+        for prod in it.product(*(params_dict[varName] for varName in varNames))
+    ]
+
+
+def execute_my_notebook(new_params, nb, results_dir):
+    # create subdirectory for the results for each parameter set
+    param_string = "--".join([f"{k}={v}" for k, v in new_params.items()])
+    outdir = f"{results_dir}/{param_string}"
+    if not os.path.exists(outdir):
+        os.makedirs(outdir)
+    new_params["output_dir"] = outdir
+    nb_path = f"{outdir}/{nb}"
+    execute_notebook(nb, nb_path, parameters=new_params)
+
+
+def parallel_execution(loop_params_dict, nb, results_dir, nb_workers=-1):
+    # Define the number of processes to use
+    num_processes = (
+        multiprocessing.cpu_count() if nb_workers == -1 else nb_workers
+    )  # Use number of CPU cores
+
+    # Create a multiprocessing pool with the desired number of processes
+    with multiprocessing.get_context("spawn").Pool(processes=num_processes) as pool:
+        # Iterate over each set of loop parameters
+        for params in loop_params_dict:
+            # Apply the execute_notebook function to each set of parameters in parallel
+            pool.apply_async(
+                partial(execute_my_notebook, nb=nb, results_dir=results_dir),
+                args=(params,),
+            )
+
+        # Close the pool and wait for all processes to complete
+        pool.close()
+        pool.join()
+
+
+# Example of how to use parallel_execution
+if __name__ == "__main__":
+    # define defaults
+    results = "output"
+    nb = "my_noteboook.ipynb"
+    params = "params.json"
+
+    # parse args
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--nb", type=str, default=nb)
+    parser.add_argument("--params", type=str, default=params)
+    parser.add_argument("--nproc", type=int, default=-1)
+    parser.add_argument("--output", type=str, default=results)
+    args = parser.parse_args()
+
+    if not os.path.exists(args.nb):
+        raise ValueError(f"Notebook {args.nb} does not exist")
+    if not os.path.exists(args.params):
+        raise ValueError(f"Params file {args.params} does not exist")
+    if not os.path.exists(args.output):
+        os.makedirs(args.output)
+
+    # Load the parameters from the JSON file
+    with open(args.params, "r") as f:
+        loop_params_dict = explode_params_dict(json.load(f))
+
+        # Call parallel_execution to execute the notebooks in parallel
+        parallel_execution(
+            loop_params_dict, args.nb, args.output, nb_workers=args.nproc
+        )
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb b/notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb
new file mode 100644
index 0000000..79f6efc
--- /dev/null
+++ b/notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb
@@ -0,0 +1,3335 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plot results from `nb_papermill.py`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Import necessary libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import jax\n",
+    "jax.config.update(\"jax_enable_x64\", True)\n",
+    "import jax.numpy as jnp\n",
+    "import jaxopt\n",
+    "import pyproximal\n",
+    "import pylops\n",
+    "import pandas as pd\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.lines import Line2D\n",
+    "import matplotlib.lines as mlines\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.transforms import (\n",
+    "    Bbox, TransformedBbox, blended_transform_factory)\n",
+    "from mpl_toolkits.axes_grid1.inset_locator import (\n",
+    "    BboxPatch, BboxConnector, BboxConnectorPatch)\n",
+    "import matplotlib.patches as patches\n",
+    "import matplotlib.colors as colors\n",
+    "\n",
+    "import numpy as np\n",
+    "import scipy\n",
+    "import seaborn as sns\n",
+    "import multidms\n",
+    "import pickle as pkl\n",
+    "import glob\n",
+    "from collections import defaultdict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Organize the results into a `DataFrame`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_dir = \"results/cond_norm_sum_pen_manu_sweep\"\n",
+    "output_dir = f\"{results_dir}/aggregated_results\"\n",
+    "if not os.path.exists(output_dir):\n",
+    "    os.makedirs(output_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def parse_results_dir_name(dir_path):\n",
+    "    # parse the directory name\n",
+    "    dir_name = dir_path.split(\"/\")[-1]\n",
+    "    hyperparams = {}\n",
+    "    for param in dir_name.split(\"--\"):\n",
+    "        key, value = param.split(\"=\")\n",
+    "        hyperparams[key] = value\n",
+    "    return hyperparams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>data_replicate</th>\n",
+       "      <th>l2reg_beta</th>\n",
+       "      <th>lasso_coeff</th>\n",
+       "      <th>post_latent_fn</th>\n",
+       "      <th>smooth_obj_fn</th>\n",
+       "      <th>total_iterations</th>\n",
+       "      <th>sparsity</th>\n",
+       "      <th>params</th>\n",
+       "      <th>D</th>\n",
+       "      <th>data</th>\n",
+       "      <th>state</th>\n",
+       "      <th>error</th>\n",
+       "      <th>obj</th>\n",
+       "      <th>converged</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>0.00016</td>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>[[0.9785209609043806, 1.0, 0.9773904851625059]...</td>\n",
+       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
+       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
+       "      <td>Data(rep-1)</td>\n",
+       "      <td>(40369, 4.0, 9.975182337545662e-05, None, {'Δ'...</td>\n",
+       "      <td>[0.15816187623651967, 0.03865556468809561, 0.0...</td>\n",
+       "      <td>[0.7167504894823568, 0.7090806304507771, 0.707...</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>8e-05</td>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>[[0.9122939236928874, 1.0, 0.9162505887894489]...</td>\n",
+       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
+       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
+       "      <td>Data(rep-1)</td>\n",
+       "      <td>(34951, 8.0, 6.718138101804236e-05, None, {'Δ'...</td>\n",
+       "      <td>[0.1582068155707952, 0.038754518718045694, 0.0...</td>\n",
+       "      <td>[0.7167358315913144, 0.7090506240618105, 0.707...</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>0.00032</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>[[0.9983042863871879, 1.0, 0.9978332548280735]...</td>\n",
+       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
+       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
+       "      <td>Data(rep-1)</td>\n",
+       "      <td>(10745, 32.0, 9.88364405543199e-05, None, {'Δ'...</td>\n",
+       "      <td>[0.1214693709904156, 0.10069514708390737, 0.06...</td>\n",
+       "      <td>[0.8994924059021022, 0.8331227049267954, 0.789...</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1e-05</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>[[0.4539802166745172, 1.0, 0.5523316062176166]...</td>\n",
+       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
+       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
+       "      <td>Data(rep-1)</td>\n",
+       "      <td>(17159, 16.0, 9.990893228008926e-05, None, {'Δ...</td>\n",
+       "      <td>[0.12166822199069016, 0.10089081435577262, 0.0...</td>\n",
+       "      <td>[0.8994283728330139, 0.8329719698121019, 0.789...</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>4e-05</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>[[0.8261518373437792, 1.0, 0.8725983958216751]...</td>\n",
+       "      <td>{'Δ': [[-0.0, 0.0, -0.0, 0.0, -0.0, 0.0, 0.0, ...</td>\n",
+       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
+       "      <td>Data(rep-2)</td>\n",
+       "      <td>(10492, 32.0, 9.99365363561091e-05, None, {'Δ'...</td>\n",
+       "      <td>[0.1333798378455181, 0.11245823481395215, 0.08...</td>\n",
+       "      <td>[1.0630034726969102, 0.978954430143381, 0.9171...</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  data_replicate l2reg_beta lasso_coeff post_latent_fn          smooth_obj_fn  \\\n",
+       "0              1      1e-07     0.00016        sigmoid  cond_norm_sum_penalty   \n",
+       "1              1      1e-07       8e-05        sigmoid  cond_norm_sum_penalty   \n",
+       "2              1      1e-07     0.00032         linear  cond_norm_sum_penalty   \n",
+       "3              1      1e-07       1e-05         linear  cond_norm_sum_penalty   \n",
+       "4              2      1e-07       4e-05         linear  cond_norm_sum_penalty   \n",
+       "\n",
+       "  total_iterations                                           sparsity  \\\n",
+       "0           100000  [[0.9785209609043806, 1.0, 0.9773904851625059]...   \n",
+       "1           100000  [[0.9122939236928874, 1.0, 0.9162505887894489]...   \n",
+       "2           100000  [[0.9983042863871879, 1.0, 0.9978332548280735]...   \n",
+       "3           100000  [[0.4539802166745172, 1.0, 0.5523316062176166]...   \n",
+       "4           100000  [[0.8261518373437792, 1.0, 0.8725983958216751]...   \n",
+       "\n",
+       "                                              params  \\\n",
+       "0  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
+       "1  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
+       "2  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
+       "3  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
+       "4  {'Δ': [[-0.0, 0.0, -0.0, 0.0, -0.0, 0.0, 0.0, ...   \n",
+       "\n",
+       "                                                   D         data  \\\n",
+       "0  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
+       "1  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
+       "2  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
+       "3  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
+       "4  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-2)   \n",
+       "\n",
+       "                                               state  \\\n",
+       "0  (40369, 4.0, 9.975182337545662e-05, None, {'Δ'...   \n",
+       "1  (34951, 8.0, 6.718138101804236e-05, None, {'Δ'...   \n",
+       "2  (10745, 32.0, 9.88364405543199e-05, None, {'Δ'...   \n",
+       "3  (17159, 16.0, 9.990893228008926e-05, None, {'Δ...   \n",
+       "4  (10492, 32.0, 9.99365363561091e-05, None, {'Δ'...   \n",
+       "\n",
+       "                                               error  \\\n",
+       "0  [0.15816187623651967, 0.03865556468809561, 0.0...   \n",
+       "1  [0.1582068155707952, 0.038754518718045694, 0.0...   \n",
+       "2  [0.1214693709904156, 0.10069514708390737, 0.06...   \n",
+       "3  [0.12166822199069016, 0.10089081435577262, 0.0...   \n",
+       "4  [0.1333798378455181, 0.11245823481395215, 0.08...   \n",
+       "\n",
+       "                                                 obj converged  \n",
+       "0  [0.7167504894823568, 0.7090806304507771, 0.707...      True  \n",
+       "1  [0.7167358315913144, 0.7090506240618105, 0.707...      True  \n",
+       "2  [0.8994924059021022, 0.8331227049267954, 0.789...      True  \n",
+       "3  [0.8994283728330139, 0.8329719698121019, 0.789...      True  \n",
+       "4  [1.0630034726969102, 0.978954430143381, 0.9171...      True  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "results = defaultdict(list)\n",
+    "string_features = []\n",
+    "for dir in glob.glob(results_dir+\"/*\"):\n",
+    "    if dir == output_dir: continue\n",
+    "    hyperparams = parse_results_dir_name(dir)\n",
+    "    # if hyperparams[\"smooth_obj_fn\"] == \"cond_norm_equal_penalty\": continue\n",
+    "    for key, value in hyperparams.items():\n",
+    "        string_features.append(key)\n",
+    "        results[key].append(value)\n",
+    "    for pck_fi in glob.glob(dir + \"/*.pkl\"):\n",
+    "        with open(pck_fi, \"rb\") as f:\n",
+    "            results[pck_fi.split(\"/\")[-1].split(\".\")[0]].append(pkl.load(f))\n",
+    "    results[\"converged\"].append(results[\"state\"][-1].iter_num < 100000)\n",
+    "results_df = pd.DataFrame(results)\n",
+    "results_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "converged\n",
+       "True     35\n",
+       "False     1\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_df[\"converged\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's make sure all fits here converged"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>post_latent_fn</th>\n",
+       "      <th>l2reg_beta</th>\n",
+       "      <th>data_replicate</th>\n",
+       "      <th>lasso_coeff</th>\n",
+       "      <th>smooth_obj_fn</th>\n",
+       "      <th>total_iterations</th>\n",
+       "      <th>converged</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000005</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000080</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000160</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000320</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000640</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000005</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000080</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000160</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000320</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>linear</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000640</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000005</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000080</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000160</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000320</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000640</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000005</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000080</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000160</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000320</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>sigmoid</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000640</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   post_latent_fn l2reg_beta data_replicate  lasso_coeff  \\\n",
+       "18         linear      1e-07              1     0.000000   \n",
+       "28         linear      1e-07              1     0.000005   \n",
+       "3          linear      1e-07              1     0.000010   \n",
+       "14         linear      1e-07              1     0.000020   \n",
+       "7          linear      1e-07              1     0.000040   \n",
+       "27         linear      1e-07              1     0.000080   \n",
+       "12         linear      1e-07              1     0.000160   \n",
+       "2          linear      1e-07              1     0.000320   \n",
+       "26         linear      1e-07              1     0.000640   \n",
+       "6          linear      1e-07              2     0.000000   \n",
+       "25         linear      1e-07              2     0.000005   \n",
+       "35         linear      1e-07              2     0.000010   \n",
+       "29         linear      1e-07              2     0.000020   \n",
+       "4          linear      1e-07              2     0.000040   \n",
+       "15         linear      1e-07              2     0.000080   \n",
+       "33         linear      1e-07              2     0.000160   \n",
+       "20         linear      1e-07              2     0.000320   \n",
+       "5          linear      1e-07              2     0.000640   \n",
+       "19        sigmoid      1e-07              1     0.000000   \n",
+       "9         sigmoid      1e-07              1     0.000005   \n",
+       "17        sigmoid      1e-07              1     0.000010   \n",
+       "16        sigmoid      1e-07              1     0.000020   \n",
+       "10        sigmoid      1e-07              1     0.000040   \n",
+       "1         sigmoid      1e-07              1     0.000080   \n",
+       "0         sigmoid      1e-07              1     0.000160   \n",
+       "11        sigmoid      1e-07              1     0.000320   \n",
+       "24        sigmoid      1e-07              1     0.000640   \n",
+       "23        sigmoid      1e-07              2     0.000000   \n",
+       "8         sigmoid      1e-07              2     0.000005   \n",
+       "32        sigmoid      1e-07              2     0.000010   \n",
+       "31        sigmoid      1e-07              2     0.000020   \n",
+       "34        sigmoid      1e-07              2     0.000040   \n",
+       "30        sigmoid      1e-07              2     0.000080   \n",
+       "22        sigmoid      1e-07              2     0.000160   \n",
+       "13        sigmoid      1e-07              2     0.000320   \n",
+       "21        sigmoid      1e-07              2     0.000640   \n",
+       "\n",
+       "            smooth_obj_fn total_iterations converged  \n",
+       "18  cond_norm_sum_penalty           100000      True  \n",
+       "28  cond_norm_sum_penalty           100000      True  \n",
+       "3   cond_norm_sum_penalty           100000      True  \n",
+       "14  cond_norm_sum_penalty           100000      True  \n",
+       "7   cond_norm_sum_penalty           100000      True  \n",
+       "27  cond_norm_sum_penalty           100000      True  \n",
+       "12  cond_norm_sum_penalty           100000      True  \n",
+       "2   cond_norm_sum_penalty           100000      True  \n",
+       "26  cond_norm_sum_penalty           100000      True  \n",
+       "6   cond_norm_sum_penalty           100000      True  \n",
+       "25  cond_norm_sum_penalty           100000      True  \n",
+       "35  cond_norm_sum_penalty           100000      True  \n",
+       "29  cond_norm_sum_penalty           100000      True  \n",
+       "4   cond_norm_sum_penalty           100000      True  \n",
+       "15  cond_norm_sum_penalty           100000      True  \n",
+       "33  cond_norm_sum_penalty           100000      True  \n",
+       "20  cond_norm_sum_penalty           100000      True  \n",
+       "5   cond_norm_sum_penalty           100000      True  \n",
+       "19  cond_norm_sum_penalty           100000     False  \n",
+       "9   cond_norm_sum_penalty           100000      True  \n",
+       "17  cond_norm_sum_penalty           100000      True  \n",
+       "16  cond_norm_sum_penalty           100000      True  \n",
+       "10  cond_norm_sum_penalty           100000      True  \n",
+       "1   cond_norm_sum_penalty           100000      True  \n",
+       "0   cond_norm_sum_penalty           100000      True  \n",
+       "11  cond_norm_sum_penalty           100000      True  \n",
+       "24  cond_norm_sum_penalty           100000      True  \n",
+       "23  cond_norm_sum_penalty           100000      True  \n",
+       "8   cond_norm_sum_penalty           100000      True  \n",
+       "32  cond_norm_sum_penalty           100000      True  \n",
+       "31  cond_norm_sum_penalty           100000      True  \n",
+       "34  cond_norm_sum_penalty           100000      True  \n",
+       "30  cond_norm_sum_penalty           100000      True  \n",
+       "22  cond_norm_sum_penalty           100000      True  \n",
+       "13  cond_norm_sum_penalty           100000      True  \n",
+       "21  cond_norm_sum_penalty           100000      True  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_df[\"lasso_coeff\"] = results_df[\"lasso_coeff\"].astype(float)\n",
+    "id_vars = list(set(string_features))\n",
+    "results_df[id_vars + [\"converged\"]].sort_values(id_vars)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array(9.97518234e-05, dtype=float64)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# results_df.query(f\"lasso_coeff.isin([0.0, 4e-05, 6.4e-4])\", inplace=True)\n",
+    "results_df.loc[0, \"state\"].error"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "model_params = results_df.loc[0, \"params\"][\"β\"]\n",
+    "fig, ax = plt.subplots(3,1)\n",
+    "for i, (key, value) in enumerate(model_params.items()):\n",
+    "    ax[i].hist(value)\n",
+    "    ax[i].set_title(key)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'post_latent_fn', 'l2reg_beta', 'data_replicate', 'smooth_obj_fn', 'total_iterations'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "non_lasso_groupers = set(string_features) - set([\"lasso_coeff\"])\n",
+    "print(non_lasso_groupers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'post_latent_fn', 'l2reg_beta', 'smooth_obj_fn'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "non_lasso_groupers = non_lasso_groupers - set(\n",
+    "    [\n",
+    "        \"data_replicate\", \n",
+    "        \"theta_scale_upper_bound\", \n",
+    "        \"total_iterations\", \n",
+    "        \"l2reg_theta_scale\", \n",
+    "        # \"l2reg_beta\", \n",
+    "        \"equivariant\"\n",
+    "    ]\n",
+    ")\n",
+    "print(non_lasso_groupers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "36"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(results_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Change type of lasso_coeff to categorical dtype sorted by value\n",
+    "results_df[\"lasso_coeff\"] = results_df[\"lasso_coeff\"].astype(\"float\")\n",
+    "results_df[\"lasso_coeff_cat\"] = pd.Categorical(results_df[\"lasso_coeff\"], categories=sorted(results_df[\"lasso_coeff\"].unique()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear\n",
+      "l2reg_beta=1e-07\n",
+      "smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x1800 with 18 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid\n",
+      "l2reg_beta=1e-07\n",
+      "smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x1800 with 18 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for group, df in results_df.groupby(list(non_lasso_groupers)):\n",
+    "    hyper_params = [f\"{k}={v}\" for k, v in zip(non_lasso_groupers, group)]\n",
+    "    print(\"\\n\".join(hyper_params))\n",
+    "\n",
+    "    fig, ax = plt.subplots(\n",
+    "        len(df.lasso_coeff.unique()), \n",
+    "        2, \n",
+    "        # len(df.data_replicate.unique()), \n",
+    "        figsize=(9, len(df.lasso_coeff.unique())*2),\n",
+    "        sharex=True,\n",
+    "        sharey=True\n",
+    "    )\n",
+    "    if not isinstance(ax, np.ndarray):\n",
+    "        ax = np.array([ax])\n",
+    "    if not isinstance(ax[0], np.ndarray):\n",
+    "        ax = np.array([ax])\n",
+    "\n",
+    "    # plot the error for each model\n",
+    "    for i, lasso_coeff_cat in enumerate(sorted(df.lasso_coeff_cat.unique())):\n",
+    "        for j, data_replicate in enumerate(sorted(df.data_replicate.unique())):\n",
+    "            results_df_sub = df[(df.lasso_coeff_cat == lasso_coeff_cat) & (df.data_replicate == data_replicate)]\n",
+    "            for k, row in results_df_sub.iterrows():\n",
+    "                ax[i, j].plot(row.error, label=lasso_coeff_cat)\n",
+    "\n",
+    "            ax[i, j].set_title(None)\n",
+    "            ax[i, j].set_yscale(\"log\")\n",
+    "            # ax[i, j].set_title(f\"lasso_coeff={lasso_coeff}, data_replicate={data_replicate}\")\n",
+    "            ax[i, j].legend()\n",
+    "    ax[0, 0].set_title(\"Replicate 1\")\n",
+    "    ax[0, 0].set_xlim(-5, 100005)\n",
+    "    ax[0, 1].set_title(\"Replicate 2\")\n",
+    "    ax[0, 1].set_xlim(-5, 100005)\n",
+    "    fig.savefig(f\"{output_dir}/error_trajectory.png\")\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 36 entries, 0 to 35\n",
+      "Data columns (total 15 columns):\n",
+      " #   Column            Non-Null Count  Dtype   \n",
+      "---  ------            --------------  -----   \n",
+      " 0   data_replicate    36 non-null     object  \n",
+      " 1   l2reg_beta        36 non-null     object  \n",
+      " 2   lasso_coeff       36 non-null     float64 \n",
+      " 3   post_latent_fn    36 non-null     object  \n",
+      " 4   smooth_obj_fn     36 non-null     object  \n",
+      " 5   total_iterations  36 non-null     object  \n",
+      " 6   sparsity          36 non-null     object  \n",
+      " 7   params            36 non-null     object  \n",
+      " 8   D                 36 non-null     object  \n",
+      " 9   data              36 non-null     object  \n",
+      " 10  state             36 non-null     object  \n",
+      " 11  error             36 non-null     object  \n",
+      " 12  obj               36 non-null     object  \n",
+      " 13  converged         36 non-null     object  \n",
+      " 14  lasso_coeff_cat   36 non-null     category\n",
+      "dtypes: category(1), float64(1), object(13)\n",
+      "memory usage: 4.5+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "results_df.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Extract mutation dataframes from `Data` object, and merge in the annotations from the row."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# define a function that takes a series (row) of the DataFrame, extracts, and merges annotations\n",
+    "def extract_mut_df_merge_annotations(row, times_seen_threshold=1, id_vars=[\"data_replicate\", \"equivariant\", \"lasso_coeff\"]):\n",
+    "    mutations_df = row.data.mutations_df.copy()\n",
+    "    params = row.params\n",
+    "    for condition in params[\"β\"]:\n",
+    "        assert len(params[\"β\"][condition]) == mutations_df.shape[0]\n",
+    "        col_name = \"β_\" + condition\n",
+    "        mutations_df[col_name] = params[\"β\"][condition]\n",
+    "    \n",
+    "    D = row.D\n",
+    "    D_str = []\n",
+    "    for i, r in enumerate(D):\n",
+    "        D_str.append(\n",
+    "            \"+\".join([f\"{'-' if coef == -1 else ''}β_{list(params['β'].keys())[j]}\" \n",
+    "            for j, coef in enumerate(r) if coef != 0.0])\n",
+    "        )\n",
+    "\n",
+    "    if \"equivariant\" not in row:\n",
+    "        D_str[1] = \"reference_ghost_shift\"\n",
+    "    else:\n",
+    "        if not row.equivariant == 'True':\n",
+    "            D_str[1] = \"reference_ghost_shift\"\n",
+    "\n",
+    "    for name, shifts in zip(D_str, params[\"Δ\"]):\n",
+    "        if name == \"reference_ghost_shift\":\n",
+    "            continue\n",
+    "        \n",
+    "        # TODO this does not account for bundle muts\n",
+    "        # print(name)\n",
+    "        # cond1, cond2 = name.split(\"+\")\n",
+    "        # cond1_betas = mutations_df[\n",
+    "        #     (cond1[1:] if cond1.startswith(\"-\") else cond1)\n",
+    "        # ].values * (-1 if cond1.startswith(\"-\") else 1)\n",
+    "        # cond2_betas = mutations_df[\n",
+    "        #     (cond2[1:] if cond2.startswith(\"-\") else cond2)\n",
+    "        # ].values * (-1 if cond2.startswith(\"-\") else 1)\n",
+    "        # assert np.allclose(shifts, (cond1_betas + cond2_betas))\n",
+    "        # print(name, shifts)\n",
+    "        \n",
+    "        mutations_df[name] = shifts\n",
+    "\n",
+    "    \n",
+    "    data = row.data\n",
+    "    if times_seen_threshold > 0:\n",
+    "        for condition in data.conditions:\n",
+    "            mutations_df = mutations_df[\n",
+    "                mutations_df[f\"times_seen_{condition}\"] >= times_seen_threshold\n",
+    "            ]\n",
+    "        \n",
+    "    for key in row.keys():\n",
+    "        if key in id_vars:\n",
+    "            mutations_df[key] = row[key]\n",
+    "\n",
+    "    return mutations_df\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So it's not the case that the $\\Delta$ parameters are all equal to the difference in $\\beta$'s. Let's investigate a sigle fit to see where they differ"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'data_replicate',\n",
+       " 'l2reg_beta',\n",
+       " 'post_latent_fn',\n",
+       " 'smooth_obj_fn',\n",
+       " 'total_iterations'}"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set(string_features) - set(['lasso_coeff'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mutation</th>\n",
+       "      <th>wts</th>\n",
+       "      <th>sites</th>\n",
+       "      <th>muts</th>\n",
+       "      <th>times_seen_Delta</th>\n",
+       "      <th>times_seen_Omicron_BA1</th>\n",
+       "      <th>times_seen_Omicron_BA2</th>\n",
+       "      <th>β_Delta</th>\n",
+       "      <th>β_Omicron_BA1</th>\n",
+       "      <th>β_Omicron_BA2</th>\n",
+       "      <th>β_Delta+-β_Omicron_BA1</th>\n",
+       "      <th>-β_Omicron_BA1+β_Omicron_BA2</th>\n",
+       "      <th>data_replicate</th>\n",
+       "      <th>l2reg_beta</th>\n",
+       "      <th>lasso_coeff</th>\n",
+       "      <th>post_latent_fn</th>\n",
+       "      <th>smooth_obj_fn</th>\n",
+       "      <th>total_iterations</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>M1I</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1</td>\n",
+       "      <td>I</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>-1.493440</td>\n",
+       "      <td>-2.540703</td>\n",
+       "      <td>-1.717500</td>\n",
+       "      <td>1.047264</td>\n",
+       "      <td>0.823204</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>F2I</td>\n",
+       "      <td>F</td>\n",
+       "      <td>2</td>\n",
+       "      <td>I</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-0.575430</td>\n",
+       "      <td>0.301247</td>\n",
+       "      <td>0.549140</td>\n",
+       "      <td>-0.876677</td>\n",
+       "      <td>0.247892</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>F2L</td>\n",
+       "      <td>F</td>\n",
+       "      <td>2</td>\n",
+       "      <td>L</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0.320407</td>\n",
+       "      <td>0.297399</td>\n",
+       "      <td>0.006393</td>\n",
+       "      <td>0.023009</td>\n",
+       "      <td>-0.291006</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>F2S</td>\n",
+       "      <td>F</td>\n",
+       "      <td>2</td>\n",
+       "      <td>S</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.466120</td>\n",
+       "      <td>0.275658</td>\n",
+       "      <td>0.537948</td>\n",
+       "      <td>0.190462</td>\n",
+       "      <td>0.262290</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>F2V</td>\n",
+       "      <td>F</td>\n",
+       "      <td>2</td>\n",
+       "      <td>V</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>-0.495355</td>\n",
+       "      <td>0.532535</td>\n",
+       "      <td>0.829203</td>\n",
+       "      <td>-1.027890</td>\n",
+       "      <td>0.296668</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1e-07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>cond_norm_sum_penalty</td>\n",
+       "      <td>100000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   mutation wts  sites muts  times_seen_Delta  times_seen_Omicron_BA1  \\\n",
+       "1       M1I   M      1    I               3.0                     3.0   \n",
+       "8       F2I   F      2    I               1.0                     2.0   \n",
+       "9       F2L   F      2    L               7.0                    12.0   \n",
+       "10      F2S   F      2    S               4.0                     7.0   \n",
+       "11      F2V   F      2    V               1.0                     5.0   \n",
+       "\n",
+       "    times_seen_Omicron_BA2   β_Delta  β_Omicron_BA1  β_Omicron_BA2  \\\n",
+       "1                      5.0 -1.493440      -2.540703      -1.717500   \n",
+       "8                      1.0 -0.575430       0.301247       0.549140   \n",
+       "9                     18.0  0.320407       0.297399       0.006393   \n",
+       "10                    11.0  0.466120       0.275658       0.537948   \n",
+       "11                     3.0 -0.495355       0.532535       0.829203   \n",
+       "\n",
+       "    β_Delta+-β_Omicron_BA1  -β_Omicron_BA1+β_Omicron_BA2 data_replicate  \\\n",
+       "1                 1.047264                      0.823204              1   \n",
+       "8                -0.876677                      0.247892              1   \n",
+       "9                 0.023009                     -0.291006              1   \n",
+       "10                0.190462                      0.262290              1   \n",
+       "11               -1.027890                      0.296668              1   \n",
+       "\n",
+       "   l2reg_beta  lasso_coeff post_latent_fn          smooth_obj_fn  \\\n",
+       "1       1e-07          0.0         linear  cond_norm_sum_penalty   \n",
+       "8       1e-07          0.0         linear  cond_norm_sum_penalty   \n",
+       "9       1e-07          0.0         linear  cond_norm_sum_penalty   \n",
+       "10      1e-07          0.0         linear  cond_norm_sum_penalty   \n",
+       "11      1e-07          0.0         linear  cond_norm_sum_penalty   \n",
+       "\n",
+       "   total_iterations  \n",
+       "1            100000  \n",
+       "8            100000  \n",
+       "9            100000  \n",
+       "10           100000  \n",
+       "11           100000  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mut_dfs = []\n",
+    "for i, row in results_df.iterrows():\n",
+    "    mut_dfs.append(\n",
+    "        extract_mut_df_merge_annotations(row, id_vars=set(string_features))\n",
+    "    )\n",
+    "mut_dfs = pd.concat(mut_dfs)\n",
+    "id_vars = list(set(string_features))\n",
+    "mut_dfs.sort_values(id_vars, inplace=True)\n",
+    "mut_dfs.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['post_latent_fn',\n",
+       " 'l2reg_beta',\n",
+       " 'data_replicate',\n",
+       " 'lasso_coeff',\n",
+       " 'smooth_obj_fn',\n",
+       " 'total_iterations']"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "id_vars"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ignore warnings\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=0.0, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=5e-06, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=1e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=2e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=4e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=8e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=0.00016, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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LCwvh6ekphgwZIuLi4iq0zdjYWDFy5Ejh5eUlzM3NhZOTk+jVq5f43//+V+L+H32c6OFH0B4WFhYmrK2t9crwyCNKQghx7do1MXToUOHs7CzUarXw8/MT48aN0z0G9rhH07766ivRoEEDYW5uLlxdXcWYMWPEgwcP9OqUNMpVWX5nj3r0ESVJkoSjo6Po1auXOH36tK5ez549hYWFRYnDWAohxLBhw4S5ubm4e/euEOLfz7K416OfG5Gxk4SoxLtGqESFAyokJSXByclJ7nCM1urVqzF8+HCcPHmy2Ed6iIiMCa8JExERyYTXhA1Eenr6Y6+lOjs7l/iICf0rKyur2JvJHubo6Fjm54mfJklJSaUOnqFSqco9KAoRlYxJ2EB89tlnmD17dql1YmNjdRMoUMk2bdqE4cOHl1rnwIEDnKe2GK1bty52YJVCwcHBOHjwYPUFRGTieE3YQFy9evWxQwd26NBB765nKt7t27dx/vz5Uuu0bNlSbyYmKnDkyBG9gVUeVaNGDbRs2bIaIyIybUzCREQyGjZsGNasWYPw8HDdo10AsH37drz00kuVOuIaGR7emEVEJDMLCwvMmzev1HHGyTQxCRMR/b+zf/6Fsf+Zg8GTP8KYaR/j7J9/Vct+Q0JC4ObmhvDw8BLr/PTTT2jUqBHUajV8fHx0E2QU8vHxwdy5c/H666/D1tYWXl5eWLFihW55bm4uxo8fD3d3d1hYWMDb21u3v9dffx09evTQ215eXh5cXFywcuVKAECnTp3w1ltv4b333oOjoyPc3Nx0E64Uio+PR+/evWFjYwM7OzsMGDAAiYmJuuWzZs1Cs2bNsG7dOvj4+MDe3h6DBg3STZSydu1a1KxZEzk5OXrb7dOnD1577TW9bXz33Xfw8vKCjY0Nxo4dC41Gg08//RRubm5wcXHBnDlzyhVb4Vj4D5s0aZLevSNbtmxBkyZNYGlpiZo1ayIkJEQ3r3dFMQkTEaEgAb+/fBviXTsi3bczrrs9i/eXb6uWRKxUKjF37lwsXrxYN7b6w06fPo0BAwZg0KBB+OuvvzBr1ixMnz4dq1ev1qu3YMECtGrVCmfPnsXYsWMxZswYxMTEAAAWLVqEHTt24Mcff0RMTAzWr1+vu9HzjTfewO7du/WGtt25cycyMzN1I5kBBTOnWVtb4/jx4/j000/x4Ycf6sZ512q16N27N+7fv49Dhw5h7969uHr1qt76AHDlyhVs374dO3fuxM6dO3Ho0CF88sknAID+/ftDo9HoDWN6584d7Nq1C6+//rreNn777Tfs3r0bP/zwA1auXInu3bvjxo0bOHToEObNm4cPPvgAx48fL1dspbl9+zYGDx6M119/HdHR0Th48CBefvnlJ79cIN84IURUXtnZ2WL48OHC09NT2NraisDAQHH06FG5wzIJY6Z9LLovPCR6LPqf7tV94SExZtrHVbrfsLAw0bt3byGEEG3bthWvv/66EEKIbdu26UaWGzJkiHjhhRf01psyZYrw9/fXvff29havvvqq7r1WqxUuLi5i2bJlQgghJkyYIJ577jmh1WqLjcPf31/MmzdP975nz55i2LBhuvfBwcGiQ4cOeuu0bt1avP/++0IIIfbs2SOUSqWIj4/XLT9//rwAIE6cOCGEKBgNzcrKSm9kvylTpojAwEDd+zFjxohu3brp3i9YsED4+fnp4i5uG6GhocLHx0doNBpdWf369UV4eHiZY3v491Bo4sSJIjg4WAghxOnTpwWACo/MVxK2hImMSH5+Pnx8fPDHH38gOTkZkyZNQs+ePatlvG5T9yBbC0mh/ydRUijwIFtbbTHMmzcPa9asQXR0tF55dHR0kdnI2rdvj0uXLuk91920aVPdz5Ikwc3NDXfu3AFQ0N0aFRWF+vXr46233sKePXv0tvfGG29g1apVAIDExET89ttveq3PR7cPFEw5Wrj96OhoeHp66s2p7e/vDwcHB73j8fHx0Zuf++FtAMDIkSOxZ88e3Lx5E0DBKHnDhg3Tm63t0W24urrC398fiod+f66uruWOrTQBAQF4/vnn0aRJE/Tv3x/ffPNNpVzDZxImMiLW1taYMWMGvLy8oFAoMGjQIKhUKl2XI1VcDQsFhFY/4QqtFjUsqu/P5LPPPovQ0FBMmzatQuubm5vrvZckSTeneIsWLRAbG4uPPvoIWVlZGDBgAPr166erO3ToUFy9ehWRkZH4/vvv4evri44dO5Z5+5URIwA0b94cAQEBWLt2LU6fPo3z588XmUu8uG08aWwKhaJI13JeXp7uZ6VSib179+K3336Dv78/Fi9ejPr16yM2NrbM+yh2v0+0NpEBycnJwfvvvw8PDw9YWloiMDCwyLzEjyr8hl3Sq/DbeHHmzJkDSZLQuHHjJ4r7999/19unubk56tSpg1mzZiE3N7fUdS9duoT79++jTp06TxRDoYp8hgBw8ODBEj/DY8eOVbhudRo5sBdyLx7UJWKh1SL34kGMHFj8DFBV5ZNPPsEvv/yiNy1ow4YNceTIEb16R44cQb169co1ip6dnR0GDhyIb775Bps2bcJPP/2E+/fvAyiYVaxPnz5YtWqVboz28mjYsCGuX7+O69ev68ouXLiA5ORk+Pv7l2tbb7zxBlavXo1Vq1YhJCRErwVbEWWJzdnZuch0r1FRUXrvJUlC+/btMXv2bJw9exYqlQrbtm17otg4YhaZjGHDhmHLli2YNGkS6tati9WrV+PFF1/EgQMH0KFDh2LXefPNN4tMfC+EwOjRo+Hj44NatWoVu96NGzcwd+5cWFtbP3HchVNJfv7553B2dkZmZiY2b96M2bNnIycnp8Q7ZrOysvDqq69i2rRpsLe3f+I4gIp9hg9766230Lp1a72ykr4glKdudWge0ATzRgPfbNqBB9kFLeCRo19C84Am1RpHkyZN8Morr2DRokW6snfeeQetW7fGRx99hIEDByIyMhJfffUVli5dWubtfv7553B3d0fz5s2hUCiwefNmuLm56U2V+cYbb6BHjx7QaDQICwsrV9whISG62BcuXIj8/HyMHTsWwcHB5Z5sZciQIXj33XfxzTffYO3ateVat6KxPffcc5g/fz7Wrl2LoKAgfP/99/j777/RvHlzAAXzpUdERKBLly5wcXHB8ePHkZSUhIYNGz5ZcJV6hZmMXnp6utwhVMjx48cFADF//nxdWVZWlnjmmWdEUFBQubb1v//9TwAQc+bMKbHOwIEDxXPPPVfi9IDl8corrwgLCwuRn5+vK8vJyRFubm7C19e32HVyc3NF9+7dxZAhQ0q80aa8nuQzLJwGc/PmzY/dT3nqPg2KuyEoNjZWqFQqvSk/t2zZIvz9/YW5ubnw8vLS+z0JUXBj1hdffKFXFhAQoJv+ccWKFaJZs2bC2tpa2NnZieeff16cOXNGr75WqxXe3t7ixRdfLBJncHCwmDhxol5Z7969RVhYmO79tWvXRK9evYS1tbWwtbUV/fv3FwkJCbrlM2fOFAEBAXrb+OKLL4qdSvO1114Tjo6OIjs7W6+8uG0U9xk+Gu/jYhNCiBkzZghXV1dhb28v3n77bTF+/HjdjVkXLlwQoaGhuulG69WrJxYvXlwk7vJiEjYAhfOnRkdHi/79+wtbW1vh6Ogo3nrrLZGVlaVX98aNG2L48OHCxcVFqFQq4e/vL1auXKlXJy4uTowZM0bUq1dPWFhYCEdHR9GvXz8RGxtb7H7Pnz8vBg8eLBwcHESzZs2EEEKkpqaKiRMnCm9vb6FSqYSzs7MICQnRmytWCCHOnDkjunbtKmxtbYW1tbV47rnnRGRkZLH7uXTpkggLCxP29vbCzs5ODBs2rNR5ZstjypQpQqlUipSUFL3yuXPnCgB6d0U+zpgxY4QkSUU+r0KHDh0SSqVSnDt3rlKScOPGjUXLli2LlLdo0UI4OjoWKddoNGLgwIGiR48eIi8v74n2/bAn+QwfTqypqamlxlWeulS90tLShJ2dnfjpp5/kDkU899xzYsKECXKHUeXYHW1ABgwYAB8fH4SHh+PYsWNYtGgRHjx4oOuOSUxMRNu2bSFJEsaPHw9nZ2f89ttvGDFiBFJTUzFp0iQAwMmTJ3H06FEMGjQItWvXRlxcHJYtW4ZOnTrhwoULsLKy0ttv//79UbduXcydO1d3Y8Lo0aOxZcsWjB8/Hv7+/rh37x7++OMPREdHo0WLFgCA8+fPo2PHjrCzs8N7770Hc3NzfP311+jUqRMOHTqEwMDAIsfn6+uL8PBwnDlzBt9++y1cXFwwb948XZ28vLzHzoBUyNHRUXc35NmzZ1GvXj3Y2dnp1WnTpg2Agms7ZbmulJeXhx9//BHt2rUrdrIMjUaDCRMm4I033kCTJk/eTZmbm4uYmBjdQASFbt26hQsXLiA4OLjIOm+++SZu376N33//HWZmRU9hOT/D4cOHIz09HUqlEh07dsT8+fNL7IosT12qWlqtFnfv3sWCBQvg4OCAXr2q9zr4wx48eICDBw/i4MGD5epuN1pyfwugf1uKvXr10isfO3asACD+/PNPIYQQI0aMEO7u7uLu3bt69QYNGiTs7e1FZmamEELo/n1YZGSkACDWrl1bZL+DBw8uUt/e3l6MGzeu1Lj79OkjVCqVuHLliq7s1q1bwtbWVjz77LNF9lP4/GOhl156SdSsWVOvrLCVVJbXwy3VRo0aieeee65IjIXPAi5fvrzUYyn0yy+/CABi6dKlxS7/6quvhL29vbhz544QQjxxS/js2bMCgPjoo49EUlKSuHXrlti9e7cICAgQ1tbW4uTJk3r14+LiBABhYWEhrK2tda/Dhw/r6sjxGR45ckT07dtXrFy5Uvz8888iPDxc1KxZU1hYWBTp8ixPXaoesbGxAoCoXbu22Ldvn6yxeHt7Czs7uyLd7aaKLWEDMm7cOL33EyZMwNKlS/Hrr7+iSZMm+OmnnzBgwAAIIXD37l1dvdDQUGzcuBFnzpxB+/btYWlpqVuWl5eH1NRU1KlTBw4ODjhz5kyRVtfo0aOLxOLg4IDjx4/j1q1b8PDwKLJco9Fgz5496NOnD/z8/HTl7u7uGDJkCL755hukpqbqtaoe3U/Hjh2xbds2vXoBAQFluhsXANzc3HQ/Z2VlQa1WF6lTOOtUaTMDPWzDhg0wNzfHgAEDiiy7d+8eZsyYgenTp8PZ2blM23ucc+fOAQCmT5+O6dOn68o7deqEP/74A82aNdOr7+3t/dgReuT4DNu1a4d27drp3vfq1Qv9+vVD06ZNMW3aNOzevbtCdal6+Pj4GMxEEXFxcXKHUK2YhA1I3bp19d4/88wzUCgUiIuLQ1JSEpKTk7FixQq98WAfVvhgelZWFsLDw7Fq1SrcvHlT7+QqrpvS19e3SNmnn36KsLAweHp6omXLlnjxxRcxdOhQXcJNSkpCZmYm6tevX2Tdhg0bQqvV4vr162jUqJGu3MvLS69e4VSCDx480CXhGjVqFLlbuSwsLS2LjDcLANnZ2brlj5Oeno6ff/4ZoaGhqFmzZpHlH3zwARwdHTFhwoRyx1eSwjujd+3aBZVKhcTERISHh+P06dMVvuNZzs/wYXXq1EHv3r2xdetWaDSaUh+lKU9dIlPCJGzAHh4hpvCh81dffbXERwcKR7OZMGECVq1ahUmTJiEoKAj29vaQJAmDBg0q9uH14v64DhgwQNdS3bNnD+bPn4958+Zh69at6NatW4WOp6Q/rA9/ScjNzdU9t/g4zs7Oum26u7sX+0xv4XN/xbXmH7V9+3ZkZmbilVdeKbLs0qVLWLFiBRYuXIhbt27pyrOzs5GXl4e4uDjY2dnB0dGxTLEXOnfuHLy9vfHiiy/qylq0aAF/f38sXboU8+fPL9f2AHk/w0d5enoiNzcXGRkZRa41P0ldIlPBJGxALl26pNcqvXz5MrRaLXx8fODs7AxbW1toNJrHtnK2bNmCsLAwvVlWsrOzkZycXK543N3dMXbsWIwdOxZ37txBixYtMGfOHHTr1g3Ozs6wsrIqdqSmixcvQqFQVOgB+6NHj6Jz585lqhsbG6u7eapZs2Y4cOBAkS7wwgHcH+3WLc769ethY2NT7E0pN2/ehFarxVtvvYW33nqryHJfX19MnDgRCxcuLFPshc6dO6e78alQw4YN0apVK/z0008VSsJyfoaPunr1KiwsLGBjY1OpdYlMBZOwAVmyZAm6dOmie7948WIAQLdu3aBUKtG3b19s2LABf//9d5FRmpKSknTXKZVKZZHrO4sXL9YbY7Y0Go0G6enpet2hLi4u8PDw0HVXKpVKdOnSBT///DPi4uJ0f8gTExOxYcMGdOjQoUKtmYpez+zXrx8+++wzrFixAu+++y6AgtGfVq1ahcDAQN0XgszMTMTHx8PJyQlOTk669ZOSkrBv3z4MHjy4yN3jANC4ceNiR8b54IMPkJaWhi+//BLPPPNMuY41ISEBd+7cKXbErdDQUMyZMwfR0dHlHgxAjs/w4f9/hf7880/s2LED3bp10xvTtzx1iUwdk7ABiY2NRa9evdC1a1fd+K1DhgxBQEAAgILh7A4cOIDAwECMHDkS/v7+uH//Ps6cOYN9+/bpuiB79OiBdevWwd7eHv7+/oiMjMS+ffuKvc5ZnLS0NNSuXRv9+vVDQEAAbGxssG/fPpw8eVKvdf3xxx9j79696NChA8aOHQszMzN8/fXXyMnJwaefflqhz6Ci1zMDAwPRv39/TJs2DXfu3EGdOnWwZs0axMXF6eZDBYATJ06gc+fOmDlzpt5cqJs2bUJ+fn6xXdEA4OTkVGSuUQC6lu+jyyRJQnBwMA4ePFhizIXXg4t71KlLly6YM2cOdu3aVe4kLMdnOHDgQFhaWqJdu3ZwcXHBhQsXsGLFClhZWemmqStUnrpEJk/OW7OpQOEjPBcuXBD9+vUTtra2okaNGmL8+PFFButITEwU48aNE56ensLc3Fy4ubmJ559/XqxYsUJX58GDB2L48OHCyclJ2NjYiNDQUHHx4kXh7e2tN7pN4X6TkpL09pGTkyOmTJkiAgICdINwBAQEFPvYzpkzZ0RoaKiwsbERVlZWonPnzkWm1itpP6tWrSrymMyTyMrKEu+++65wc3MTarVatG7dWuzevVsIIcT07X+Jzaeu6x7fKRxFqFDbtm2Fi4uL3qhVZVHcI0ppaWkCgBg0aFCp63766ad6j6A9LDc3V9ja2orOnTuXK54nVdpnWKi4z/DLL78Ubdq0EY6OjsLMzEy4u7uLV199VVy6dKnIPspTl8jUSUIYyH3pT7FZs2Zh9uzZSEpK0usipcrjM3UXACDuk+5Vvq9ff/0VPXr0wJ9//lkpA3oQmYJZs2Zh+/btRSZFeNrx4gtRJTtw4AAGDRrEBEyPlZSUhDFjxsDLywtqtRpubm4IDQ3VmzFJkiRs37692mJKSEjAhAkT4OfnB7VaDU9PT/Ts2RMRERHVFsPThNeEiSpZRe5opqdT3759kZubizVr1sDPzw+JiYmIiIjAvXv3ZIknLi4O7du3h4ODA+bPn48mTZogLy8Pv//+O8aNG4eLFy/KEpcpY0uYiOj/XfjzLL7675v4+t1+WPzfUbjw59kq21dycjL+97//Yd68eejcuTO8vb3Rpk0bTJs2TfeYXOFTBy+99BIkSdIbz3zZsmV45plnoFKpUL9+faxbt05v+5IkYdmyZejWrRssLS3h5+eHLVu2lBrT2LFjIUkSTpw4gb59+6JevXpo1KgRJk+erDfXc3x8PHr37g0bGxvY2dlhwIABSExM1NvWJ598AldXV9ja2mLEiBG6QV8KabVafPjhh6hduzbUajWaNWumN1paXFwcJEnC1q1b0blzZ1hZWSEgIEBvnmWTIPdFaaLq4P3+TuH9/k65wyADdj7qjFg9/lmhWdpRiOUF/64e/6w4H1U141nn5eUJGxsbMWnSpCLT9RW6c+eOACBWrVolbt++rRuzfOvWrcLc3FwsWbJExMTEiAULFgilUin279+vWxeAqFmzpvjmm29ETEyM+OCDD4RSqRQXLlwodl/37t0TkiSJuXPnlhq3RqMRzZo1Ex06dBCnTp0Sx44dEy1bttRN+SeEEJs2bRJqtVp8++234uLFi+K///2vsLW11ZuC8PPPPxd2dnbihx9+EBcvXhTvvfeeMDc3F//8848Q4t/xrBs0aCB27twpYmJiRL9+/YS3t7dJzbzFJExPBSZhepzF/xmlS8CFL83SjmLxf0ZV2T63bNkiatSoISwsLES7du3EtGnTitwtD0Bs27ZNr6xdu3Zi5MiRemX9+/fXmwcYgBg9erRencDAQDFmzJhiYymcT3rr1q2lxrxnzx6hVCr1prYsnOTjxIkTQgghgoKCxNixY4vs++Ek7OHhUWTO7tatW+vWK0zC3377bZH9REdHlxqjMWF3NBERAPOce1AoJL0yhUKCeU7ZhgCtiL59++LWrVvYsWMHunbtioMHD6JFixZYvXp1qetFR0ejffv2emXt27dHdHS0XllQUFCR94/WKSTK+KBMdHQ0PD099UbE8/f3h4ODg27b0dHRRaYyfTiW1NRU3Lp1q0zHUDgcL1Awih/w7zj5poBJmIgIQJ66JrRa/USk1Qrkqcs3Hnh5WVhY4IUXXsD06dNx9OhRDBs2DDNnzqzSfRanbt26kCTJ4G6+Mjc31/1cOJ5+cWPgGysmYSIiAM8NGI11FyRdItZqBdZdkPDcgKJTfVYlf39/ZGRk6N6bm5sXGXK2YcOGeo8xAcCRI0fg7++vV/bwzVSF70sagc3R0RGhoaFYsmSJ3v4LFY4937BhQ1y/fh3Xr1/XLbtw4QKSk5N1+2/YsKFuzPHiYrGzs4OHh0eZjsHU8RElIiIA/gHNgTcWYumPy2Gecx95akc898bogvIqcO/ePfTv3x+vv/46mjZtCltbW5w6dQqffvopevfuravn4+ODiIgItG/fHmq1GjVq1MCUKVMwYMAANG/eHCEhIfjll1+wdetW7Nu3T28fmzdvRqtWrdChQwesX78eJ06c0BuC9FFLlixB+/bt0aZNG3z44Ydo2rQp8vPzsXfvXixbtgzR0dEICQlBkyZN8Morr2DhwoXIz8/H2LFjERwcjFatWgEAJk6ciGHDhqFVq1Zo37491q9fj/Pnz+vNPT5lyhTMnDkTzzzzDJo1a4ZVq1YhKioK69evr+RP2sDJfVGaqDrwxiwyNNnZ2WLq1KmiRYsWwt7eXlhZWYn69euLDz74QGRmZurq7dixQ9SpU0eYmZkJb29vXfnSpUuFn5+fMDc3F/Xq1RNr167V2z4AsWTJEvHCCy8ItVotfHx8xKZNmx4b161bt8S4ceOEt7e3UKlUolatWqJXr17iwIEDujrXrl0TvXr1EtbW1sLW1lb0799fJCQk6G1nzpw5uqFzw8LCxHvvvad3Y5ZGoxGzZs0StWrVEubm5iIgIED89ttvuuWFN2adPXtWV/bgwQMBQC8WY8dhK+mpUJ3DVhIZAkmSsG3btmInHiHDwWvCREREMmESJiIikglvzCIiMkG80mgc2BImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYTJ5j44HTERkKJiEyeRpeZcoERkoJmEyeWwIE5GhYhImk8eWMBEZKiZhMnlMwkRkqJiEyeSxO5qIDBWTMJk8DbMwERkoJmEyeRxDl4gMFZMwmTy2hInIUDEJk8ljDiYiQ8UkTCaP3dFEZKiYhMnksSVMRIaKSZhMnoYtYSIyUEzCZPI4gQMRGSomYTJ5bAgTkaFiEiaTx+5oIjJUTMJk8jh2NBEZKiZhMnl8RImIDBWTMJk83pdFRIaKSZhMHoetJCJDxSRMJo/XhInIUDEJk8ljDiYiQ8UkTCaPLWEiMlRMwmTyeE2YiAwVkzCZvIdzMB9XIiJDwiRMJu/hxMtGMREZEiZhMnkPd0fz+jARGRImYTJ5D7d+mYSJyJAwCZPJe7g7mjmYiAwJkzCZPLaEichQMQmTydPwxiwiMlBMwmTytII3ZhGRYWISJpOnd01YK2MgRESPYBImk6d9KPFq2BImIgPCJEwmT8PuaCIyUEzCZPIEkzARGSgmYTJ5eo8o8ZowERkQJmEyeQ+3fvOZhYnIgDAJk8l7eOzoPA27o4nIcDAJk8l7+DJwbj5bwkRkOJiEyeQ9nHjzNEzCRGQ4mITJ5GXna3Q/57AlTEQGhEmYTF5O3r+Jl93RRGRImITJ5GXn/dsSZnc0ERkSJmEyedn5GqiUBf/V2RImIkPCJEwmLydPC0uVEgBbwkRkWJiEyeRl52tg/f9JOJdJmIgMiJncARg6IQTS0tLkDoOeQGpKKh6kJEObo8Wag9HITE+DJEkQQkCSJCgk/QE9gIJRtoQAlAoJCkmCJBUMfykBEAA0Wi2UCgUU0r/rCFGwnkKSIFBQV5L+LZckSbd+cf9KEspMK4B6rjao42L7JB+NUbK1tYVUng+LyIBJQnBE+9IkJSXBxcVF7jCI6P/duXMHzs7OcodBVCnYEn4MlUoFALh+/Trs7OxkjqZqpKamwtPT02SP0dSPD3i6jrHwnCQyBUzCj1HY7WVnZ2eyf9wKmfoxmvrxAU/HMbIrmkwJb8wiIiKSCZMwERGRTJiEH0OtVmPmzJlQq9Vyh1JlTP0YTf34AB4jkbHi3dFEREQyYUuYiIhIJkzCREREMmESJiIikonRJOHw8HC0bt0atra2cHFxQZ8+fRATE/PY9TZv3owGDRrAwsICTZo0wa+//loN0RIRET2e0SThQ4cOYdy4cTh27Bj27t2LvLw8dOnSBRkZGSWuc/ToUQwePBgjRozA2bNn0adPH/Tp0wd///13NUZORERUPKO9O7pwTOdDhw7h2WefLbbOwIEDkZGRgZ07d+rK2rZti2bNmmH58uXVFSoREVGxjHbYypSUFACAo6NjiXUiIyMxefJkvbLQ0FBs3769xHVycnKQk5Ojey+EQG5uLpycnDhcHpGB4/lLxsZouqMfptVqMWnSJLRv3x6NGzcusV5CQgJcXV31ylxdXZGQkFDiOuHh4bC3t9e9HBwc4OLiwukMiYwAz18yNkaZhMeNG4e///4bGzdurPRtT5s2DSkpKbrX9evXK30fRFQ1eP6SsTG67ujx48dj586dOHz4MGrXrl1qXTc3NyQmJuqVJSYmws3NrcR11Go1h8UjMlI8f8nYGE1LWAiB8ePHY9u2bdi/fz98fX0fu05QUBAiIiL0yvbu3YugoKCqCpOIiKjMjKYlPG7cOGzYsAE///wzbG1tddd17e3tYWlpCQAYOnQoatWqhfDwcADAxIkTERwcjAULFqB79+7YuHEjTp06hRUrVsh2HERERIWMpiW8bNkypKSkoFOnTnB3d9e9Nm3apKsTHx+P27dv6963a9cOGzZswIoVKxAQEIAtW7Zg+/btpd7MRUREVF2M9jnh6pKamgp7e3ukpKTAzs5O7nCIqBx4/pKhM5qWMBERkalhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMjCoJHz58GD179oSHhwckScL27dtLrX/w4EFIklTklZCQUD0BExERlcKoknBGRgYCAgKwZMmScq0XExOD27dv614uLi5VFCEREVHZmckdQHl069YN3bp1K/d6Li4ucHBwqPyAiIiInoBRtYQrqlmzZnB3d8cLL7yAI0eOlFo3JycHqampei8iMg48f8nYmHQSdnd3x/Lly/HTTz/hp59+gqenJzp16oQzZ86UuE54eDjs7e11L09Pz2qMmIieBM9fMjaSEELIHURFSJKEbdu2oU+fPuVaLzg4GF5eXli3bl2xy3NycpCTk6N7n5qaCk9PT6SkpMDOzu5JQiaiKsbzl4yNUV0Trgxt2rTBH3/8UeJytVoNtVpdjRERUWXh+UvGxqS7o4sTFRUFd3d3ucMgIiIyrpZweno6Ll++rHsfGxuLqKgoODo6wsvLC9OmTcPNmzexdu1aAMDChQvh6+uLRo0aITs7G99++y3279+PPXv2yHUIREREOkaVhE+dOoXOnTvr3k+ePBkAEBYWhtWrV+P27duIj4/XLc/NzcU777yDmzdvwsrKCk2bNsW+ffv0tkFERCQXo70xq7qkpqbC3t6eN3YQGSGev2TonrprwkRERIaCSZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZGJU8wkTGbO0tDRs3bkbD1LS0Kfr8/Dx8ZY7JCKSGZMwUTWIPHkKH36zFXm1W8HMohZ++WwTujeqicljRsgdGhHJiN3RRFVMq9Xis1VboWzcDZY1XGBuaQ2r+u3wa/R9XLp0We7wngo5+Rq5QyAqFpMwURWLi4tDsoUbJEnSK1f5tMDmXXtliurpsijiktwhEBWLSZioillYWEDKzylSrsnNgY2VhQwRPX32nE+UOwSiYhlVEj58+DB69uwJDw8PSJKE7du3P3adgwcPokWLFlCr1ahTpw5Wr15d5XESPczDwwO1lKnQ5ufpL4iNxCt9e5VrW4ePHMVb0z/BuA8+wQ8//QytVluJkZouhVH9paOniVH918zIyEBAQACWLFlSpvqxsbHo3r07OnfujKioKEyaNAlvvPEGfv/99yqOlEjfp1PHwzEuAplXTiI19hyUF37DOwNfQM2aNcu8ja9WrsPsrWdw1bk94l074NuodEye+QmEEFUYORFVJaO6O7pbt27o1q1bmesvX74cvr6+WLBgAQCgYcOG+OOPP/DFF18gNDS0qsIkKsLV1RXrvvwYcXFxyMjIQP369WFmVvbTLz09Hb+duQqrBs/ryqxcvPF3XDLORp1Di+YBVRE2EVUxo2oJl1dkZCRCQkL0ykJDQxEZGSlTRPS08/HxQaNGjcqVgAHg8uXLSLN0K1Ju7lYXh4+frqzwTBY7C8hQGVVLuLwSEhLg6uqqV+bq6orU1FRkZWXB0tKyyDo5OTnIyfn3JprU1NQqj5PocVxdXaHOTSlSnpuSCL/GtWWIyDCVdP4yCZOhMumWcEWEh4fD3t5e9/L09JQ7JCK4u7ujgW0ectOTdWXa/Dw43P0b3UI6yxeYgSnp/OWNWWSoTPq/ppubGxIT9R9NSExMhJ2dXbGtYACYNm0aUlJSdK/r169XR6hEjzV/+jtorbgMxcU90F74HT53j2LJrLdhbm4ud2gGg+cvGRuT7o4OCgrCr7/+qle2d+9eBAUFlbiOWq2GWq2u6tCIys3CwgIfvz9J7jAMGs9fMjZG1RJOT09HVFQUoqKiABQ8ghQVFYX4+HgABd+Chw4dqqs/evRoXL16Fe+99x4uXryIpUuX4scff8Tbb78tR/hERER6jCoJnzp1Cs2bN0fz5s0BAJMnT0bz5s0xY8YMAMDt27d1CRkAfH19sWvXLuzduxcBAQFYsGABvv32Wz6eREREBkESfNK/VKmpqbC3t0dKSgrs7OzkDoeIyqHw/G07ewciZ/SUOxyiIoyqJUxERGRKmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimZj0fMJEhizmn0v4duPPSM3RwNfVAaOHDoSDg4PcYRFRNWISJqpCSUlJWLZmE249yEBNGzVGv9oPnp61ceTYCcxa8ztU9TtCoTTDtcw0HHt/LtZ8+l/Y29vLHTYRVRN2RxNVkVu3bmP4fxcgUtTDTbf2OKtqgjc+WoYLF//Bis2/wcK/MxTKgu/B5la2yPLthK/XbpQ3aCKqVkzCZNKEEDj319/YumMX4uPjq3Xfi77bAG2DF2BmYQUAUKrUMG8UisVrNiMpU1OkvsraDnGJydUa49OCs6aToWJ3NJmsjIwMjJ8+D/GSM2DrCsW+jWjjbo6P3p8IhaLqv3/eTs2B0l6tVyYpFLibpYGNuYSsR+pr8nJhb2le5XE9jZiEyVCxJUwma+6iFbjt1g5WPs1hVdMDFnXb4XiGEzZt+6Va9m9tJiC02mLKge7tmiL7VoyuTAiB/H8OYdSQl6slNiIyDEzCZLKibyXD3NIGGo0GOTk50AotLF19cfD0+XJvKzY2Fr/v249bt26VeZ1hfV9EzuVIvbLsa3+iX0g7DB34Ml5r5gDry3uBi/vgcv0A5ox6Cb6+PuWOjR5PkuSOgKh4RtcdvWTJEsyfPx8JCQkICAjA4sWL0aZNm2Lrrl69GsOHD9crU6vVyM7Oro5QSWZCADcTEpGZq4GQlFAIDeytLeBRjm3k5ubi3Q8/Q3SaGvm2bjD7+SRauplh7rS3H9ul3aZlc7yXlo61P+/FgxzAVgWEPReIHl1DAABDB/bF0IF9n+AIqazYHU2GyqiS8KZNmzB58mQsX74cgYGBWLhwIUJDQxETEwMXF5di17Gzs0NMzL/dfhK/Ej81Mu7EI1XVEObWDij8rSdeuwCXOmX/b7/w61WIsfSHhatTQYGrN07dvYGV6zdh5GuDH7v+C5064oVOHSsQPVWmargFgKhCjOq/5ueff46RI0di+PDh8Pf3x/Lly2FlZYXvvvuuxHUkSYKbm5vu5erqWo0Rk5ysa7pDE3MQWXFRyH1wG5n/HIE67SbuZ+aVeRtnryZAZeekV2bpVBtHz12p7HCpCrElTIbKaJJwbm4uTp8+jZCQEF2ZQqFASEgIIiMjS1wvPT0d3t7e8PT0RO/evXH+fPmvB5JxEkpzNAp9Bd6eteCovY86jZqhbvBLyNWUvTekpD/e4gk6VHJycvDDTz/jg0++wNYdu5CXV/YvBVQxGi2zMBkmo0nCd+/ehUajKdKSdXV1RUJCQrHr1K9fH9999x1+/vlnfP/999BqtWjXrh1u3LhR4n5ycnKQmpqq9yLj5OmghtDkw87dF24NA2FVwxXZKUloWNsJP/+6G7v37kdOTk6p22jkWRO5GSl6ZdkPEtGmvneFYrp//z6GTJyBleey8ad1ayw5mYywt2cgPT29QtsjfSWdv0oFL0ORYTKaJFwRQUFBGDp0KJo1a4bg4GBs3boVzs7O+Prrr0tcJzw8HPb29rqXp6dnNUZMlWna2OEwv/gbsu7dghACmbcvQ0T9jD3nrmFh5H3MO3gTfd+ahWOnTpe4jXfHjkDtpOPIjPsT2Sl3kRV7BvVzojEq7PHXg4szb+kqZNV9AZZOtQAAVi7euFe7I778Zl2Ftkf6Sjp/eSsIGSqjScJOTk5QKpVITEzUK09MTISbm1uZtmFubo7mzZvj8uXLJdaZNm0aUlJSdK/r168/UdwkHw8Pd2z88kOE+SvRPPM0xgbWhJmTF8ybdIONixds3HyBRi8i/JstyM/PL3YblpaW+Paz2Zj/WgeE1dNi8ahQfDXnA5iZVeyexti7GVCqLPTKVNZ2iLl1r0LbI30lnb+8JkyGymiSsEqlQsuWLREREaEr02q1iIiIQFBQUJm2odFo8Ndff8Hd3b3EOmq1GnZ2dnovMl4WFhZ4bUBffDR1EnLztchzb6q3XJIkJNv54mzUnyVuQ5IktGgWgFcHvIyGDeo/UTwqZQnlRnMmGraSzl8mYTJURnXqT548Gd988w3WrFmD6OhojBkzBhkZGbpngYcOHYpp06bp6n/44YfYs2cPrl69ijNnzuDVV1/FtWvX8MYbb8h1CCQjCSj+r7EQqK7eyk7N6yE76ZpeWfati3ixY8tqioCIDIlRPSc8cOBAJCUlYcaMGUhISECzZs2we/du3c1a8fHxegMoPHjwACNHjkRCQgJq1KiBli1b4ujRo/D395frEEhG3bs8hzV75wE1/+0JEUKgRnocmjevni9mI14ZiLuLV+CPmAhkqWrAKuc+ejX3w8s9ulXL/p9WvCZMhkoSgh01pUlNTYW9vT1SUlLYNW0CdkccxFeb9yLDsR6EVgP7B5cwc8xgtGjW9PErV6LMzEzcuXMHbm5usLCwePwKVCGF52/b2TsQOaOn3OEQFWFULWGiioiJ+QdXr11H86aN0PX5TghuF4gjkcehUpkjKPA1mJtX/8xFVlZW8PHxqfb9EpFhYRImk5WZmYlJMz/F5Tx7CFtXqH45ibZe1pj17niEPNdJ7vCIiIzrxiyi8pi7eAWu1WwD62daw8bFC6p6HfBHsh1+2rGrSvaXl5fH0a+IqFzYEiaTdeH6A6jq61/Ht3J7BnuPH0a/3j0qbT/379/HjAXLcPV+LoQAfB1V+Oid0ahZs2al7YOeDO98IUPFljCZrBL/7lbiH2QhBCbM/AxXHdtC6f8CzBq9gDinthg/8zNotdrK2xE9ESZhMlRsCZPJqu9mh6isDJhbWuvKMu/E4dnmDSu8zdTUVHzz/SZcunkPtmoztG1SF7fVtWGtUuvqKM3VSLT0xclTZxDYptUTHQNVDk5lSIaKSZhM1n8njsK46fNww8wDCjs3SPdi0aKmFn17TcCmrTtwJvoyPF1rYuiAl8r0+Fl6ejpef38O0ryfhcqtIbSafOxbtQ7mddvB+pG6knUNXL+dgMCqOTQqJ3ZKkKHi90MyWba2tni+bXMobp7DvRPbYJN+HSHtW2PElNlYEZWBC3ZtsOOOIwa/Mxexcdceu72VGzYj1bMDVNb2AACF0gzObfvgbsypInWV966gQyBbwYaCg3WQoWISJpO1fst2fB/1AJbtXkXt0DeR36wfJs1bgfgaLWDlXDC7jtq2BqTG3fDp14+fxejyjbtQ2TogPSMDD5JTkJ+fD7VtDVhk30dGXBSEVguh1SLj2jl0rlOjzBOLENHTi93RZLJ2/REFlU8n3Io6jJTEa3Cu0xQ5ls5Iy5Pg8FA9SaHEzdTiZ1F6mFLk4vKVWGjVtoBCiaTUJNhbmqNhg3qY1LcVtu05DADo3bs9nu3QDrm5uVj0zRqcvnwLQgBNfVwwefRwjpAlA96YRYaKSZhM1t2UdJxa8wkUbnVhXsMHD86dRt7tf2BVv12RupImB5cuXYKvr2+J0xQmJN1Dxs1EWAd0gyRJgJkKd679hRfq2qFju7bo2K6tXv13P/wMMZb+UPkV3Ah2MO0B4qZ/gq8/nVmwPlUbjs5LhopJmEzWhahTsGrzCiR1wW1T5s4+yHZwx91jW+HrOQEAoNFqcPWvU0DcVYxauhsOuUkI694efV4M1dtWWloakpU14NvIGzf+3AWNwgySNh8ONV2gkWyK7Ds2NhbRaWpYuDrpytS2NXD1nhP+/OtvNGvapAqPnB7FLz1kqJiEyWTlWzjAXG0NpaUdIEkQWg1U7vUhXT8J85g9SFPY4K+jEdBYOcLKxQ+xl2Lg6lsfS3adQkDD+vD19dFtq/CPuH0tP9jX8tOVazX5UGSeLbLvi5euIt+2mHmrHWrhfMxlJuFqxpYwGSomYTJZeUKClJKIjOhDkBTmgNDAwrcFhKTA5i9n4qPPFuFK065Q1/r3ueGEi/9DSn4GXho3HZ6+fnC2UmLskN5o1TwAta20uJ2fB4XZvxM+ZMedRf9hzxfZd+OG9WC28zTg6qW/4MF1tGgSWqQ+VS0tczAZKN4dTSZLpCUhP+0ubJr3gE2zrrAJ6IrMS8dhay6gVCpxNvYOzGvW1ltHWbspku4mQWrWG2jwAu54dsZ/vt6KuLhr+PidN2Fz+XdkxF9A+p3ryLt4AH0a10TzYqZB9PT0RDMnCdn3b+nKcpIT0cAyFQ0b1K/yYyd9CvZGk4FiS5hMlrmlNcxcn4E2MxmSQgmhyYfVM21gdikRAKBRmMNM0kIDAQkFf6U1Wg0UVvawtym4jixJEszqBePrDVsR/p+38cPiuTh56gwS791Dh8BxcHR0LHH/8z54B9+s/QGR5w9CCIGW9WpjzPD3q/7AichoMAmTydIoLaFW20AyV+nKtAoFMvME/vnnHzipgSxHB9y8+wBalTUkhRk0afdhaWmBzBvRuHb9KrQKMyi0+TBzLOjPVCgUZR6KUqFQ4M1hr+DNKjk6IjIF7I4mk5WXmQZJZQkozP59KVW4cycJo7/ei6t3UpBw+Ad41rSBo0rA/EEslNG/wtW9Fu6k5cCiWQ9YNe0KVdNuuJplieOnzsh9SFRBvCRMhopJmEyXpEDmpUhACEj/f3d0xvkIKK0dYO0TAPu2/eHk3xY1ruxGO8U/mNLRBavm/Qd3oo/DwrsZAEBoNVDkpMGzbXes3bZb3uOhClPwESUyUEaXhJcsWQIfHx9YWFggMDAQJ06cKLX+5s2b0aBBA1hYWKBJkyb49ddfqylSkpuZUoKZnQvSzu5CWtRupJ/9DRaeTaBQKnV17Lwbw9LBBQtmvIuhg/rhuWc7wL+OLyy1GTDPS4ONIhe+td1gZm6O9DwZD4aeiJaPKJGBMqprwps2bcLkyZOxfPlyBAYGYuHChQgNDUVMTAxcXFyK1D969CgGDx6M8PBw9OjRAxs2bECfPn1w5swZNG7cWIYjoOpkZS7hxtq3IVlYQWXtgJx7t2Dbph8sHNyRm5sLlUoFIQQS79zBD1u242b8NZyLuYQLZ/6GMqgurC2t4FDTAUqlGTR5uXC3U+PYsWPYsG0Xmjasg+GvvQrlQwkdAHJychBx6H/Iyc5FSOeOsLW1lenoicgYSMKInmIPDAxE69at8dVXXwEAtFotPD09MWHCBEydOrVI/YEDByIjIwM7d+7UlbVt2xbNmjXD8uXLy7TP1NRU2NvbIyUlpUzT3ZHhkCQJVs+0gnVAV6hqeiL7+t/IuhCBzPgL8J24AfZq4MG5/VA7uCJTXQMZN/9B1tWzsPAJALRaWPsHA5o82KgAv8wYPLh5FTdUXjCv3Rj5yQlQXYvE3nWL4OvrCwA4duo0Pv7mJ2Q6NQSU5rBIisbIHkF4qXtXmT+Jp1fh+dtm5g4cn9VT7nCIiih3d3RWVhb++OMPXLhwociy7OxsrF27tlICe1Rubi5Onz6NkJAQXZlCoUBISAgiIyOLXScyMlKvPgCEhoaWWJ9Mi5V3Y9TsPhnWddvA3NEdtgEvwL7TG1DX9IDGzALxkb9C6dUCWpd6UNT0htBoUKPTMNi16gWrhs8i68pJZMQcwY3fVwIPruO2WxBsmnaB2tED1n4toGg/HP3GFDxylJ+fj0++/Qlo1A3Wbr6wdq4Npf8L+PqXo0hOTpb3gyDcTsnGP4lpeJCRy9GzyKCUqzv6n3/+QZcuXRAfHw9JktChQwds3LgR7u4Fw/OlpKRg+PDhGDp0aKUHevfuXWg0Gri6uuqVu7q64uLFi8Wuk5CQUGz9hISEEveTk5ODnJwc3fvU1NQniJrkZFbTG0pL/XGd1e51YO7kjfSzvwLaPNjUcEJKeha0IgciNwtm9i4AJJjbOcEsoGBkq7TjP+L4+X/g3F///7VSZYWkXBW0Wi2iov5Esq03bB+5ASjfIwC/7InAawP6VumxUoHSzt8uXxTMcqWQAHOlAkqFBKUkFfz70MtMIUHx//8WvFfo3j+8zEy3jqLgZ+W/21NIEhQSoFRIkCQJSgX+v6xsyxT/v43CZQCg0QpoRcH1be3//6wRAkIIvWUFP/9bp2tjN7Sv4wQyTOVKwu+//z4aN26MU6dOITk5GZMmTUL79u1x8OBBeHl5PX4DRiA8PByzZ8+WOwyqDCW0eIQQsG3cGVnRBx8a2L+Uu2e1ApAK1is6EcC/zw8X9xyMEAJKhVHdemHUSjp/3ezVCKznjjtpObibnoOsPA2y87TIytUgPSffpB9hWnfsGuI+6S53GFSCcv11OHr0KPbt2wcnJyc4OTnhl19+wdixY9GxY0ccOHAA1tbWVRUnnJycoFQqkZiYqFeemJhY4uTpbm5u5aoPANOmTcPkyZN171NTU+Hp6fkEkZNc8u7GIj8jBWbW9rqy7BvRyL97DZLQwEqbBSspF5lmEnIUKkhqK+Q9uA2Viw9EQd5F7t1rkNKT0CWoGY5e+xNWPs1128rPToe7RT4UCgWaNQuA4zc/Ilf46yVq1e0o9Hj7veo87KdaSedvQkoOfjl3W1duppBgYa6ElUoJR2sVLMwVsDBX6lrICunf1mnhe10LV/FIS/aR1mtpywrK8f/lD21L97P++ubKgpa4mUIquNtfqYC5ouDfwlZ54T6kh9bV7U+SULuGpRy/CiqjciXhrKwsvblWJUnCsmXLMH78eAQHB2PDhg2VHmAhlUqFli1bIiIiAn369AFQcGNWREQExo8fX+w6QUFBiIiIwKRJk3Rle/fuRVBQUIn7UavVUKvVlRk6ySTrejTu7foc1o2eg7mzN7KvnUP2pSPIuX8bNrdOYVD3INxKuorz+SpcSdYCmnwkH14DyzqBULvXQ27iVeRf/xP9QgKxYsFcdH9lFM6fuQFlrUbQJt+GZcKf2PrDMgAFLeHpo4dg1tL1SHGoCyiUsHlwCRP7v8Ab+qpRSefvnrefhZOjAyzMlbAwU8BMaXRPZ5KJKlcSbtCgAU6dOoWGDRvqlRferdyrV6/Ki6wYkydPRlhYGFq1aoU2bdpg4cKFyMjIwPDhwwEAQ4cORa1atRAeHg4AmDhxIoKDg7FgwQJ0794dGzduxKlTp7BixYoqjZMMQ+ENOJIkwdzaEXkZ9zH743DUr18fz3fqCCengutkly9fwT9XYnH/rheiznvh9s0buHvvIFq0CsCYr9fqLrXs3rgSFy5cwOafd6FZozbo1fNDvVZv84Am+GnJxzh+4hSyc3PQvu0gWFhYVP+BUxEeDpaws+GXazJAohzmzp0runXrVuLyMWPGCEmSyrPJclu8eLHw8vISKpVKtGnTRhw7dky3LDg4WISFhenV//HHH0W9evWESqUSjRo1Ert27SrX/lJSUgQAkZKSUhnhE1E14vlLhs6onhOWA58TJjJePH/J0PHCCBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZGE0Svn//Pl555RXY2dnBwcEBI0aMQHp6eqnrdOrUCZIk6b1Gjx5dTRETERGVzkzuAMrqlVdewe3bt7F3717k5eVh+PDhGDVqFDZs2FDqeiNHjsSHH36oe29lZVXVoRIREZWJUSTh6Oho7N69GydPnkSrVq0AAIsXL8aLL76Izz77DB4eHiWua2VlBTc3t+oKlYiIqMyMojs6MjISDg4OugQMACEhIVAoFDh+/Hip665fvx5OTk5o3Lgxpk2bhszMzFLr5+TkIDU1Ve9FRMaB5y8ZG6NoCSckJMDFxUWvzMzMDI6OjkhISChxvSFDhsDb2xseHh44d+4c3n//fcTExGDr1q0lrhMeHo7Zs2dXWuxEVH14/pKxkbUlPHXq1CI3Tj36unjxYoW3P2rUKISGhqJJkyZ45ZVXsHbtWmzbtg1XrlwpcZ1p06YhJSVF97p+/XqF909E1YvnLxkbWVvC77zzDoYNG1ZqHT8/P7i5ueHOnTt65fn5+bh//365rvcGBgYCAC5fvoxnnnmm2DpqtRpqtbrM2yQiw8Hzl4yNrEnY2dkZzs7Oj60XFBSE5ORknD59Gi1btgQA7N+/H1qtVpdYyyIqKgoA4O7uXqF4iYiIKpNR3JjVsGFDdO3aFSNHjsSJEydw5MgRjB8/HoMGDdLdGX3z5k00aNAAJ06cAABcuXIFH330EU6fPo24uDjs2LEDQ4cOxbPPPoumTZvKeThEREQAjCQJAwV3OTdo0ADPP/88XnzxRXTo0AErVqzQLc/Ly0NMTIzu7meVSoV9+/ahS5cuaNCgAd555x307dsXv/zyi1yHQEREpEcSQgi5gzBkqampsLe3R0pKCuzs7OQOh4jKgecvGTqjaQkTERGZGiZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERycRokvCcOXPQrl07WFlZwcHBoUzrCCEwY8YMuLu7w9LSEiEhIbh06VLVBkpERFRGRpOEc3Nz0b9/f4wZM6bM63z66adYtGgRli9fjuPHj8Pa2hqhoaHIzs6uwkiJiIjKRhJCCLmDKI/Vq1dj0qRJSE5OLrWeEAIeHh5455138O677wIAUlJS4OrqitWrV2PQoEFl2l9qairs7e2RkpICOzu7Jw2fiKoRz18ydEbTEi6v2NhYJCQkICQkRFdmb2+PwMBAREZGlrheTk4OUlNT9V5EZBx4/pKxMdkknJCQAABwdXXVK3d1ddUtK054eDjs7e11L09PzyqNk4gqD89fMjayJuGpU6dCkqRSXxcvXqzWmKZNm4aUlBTd6/r169W6fyKqOJ6/ZGzM5Nz5O++8g2HDhpVax8/Pr0LbdnNzAwAkJibC3d1dV56YmIhmzZqVuJ5arYZara7QPolIXjx/ydjImoSdnZ3h7OxcJdv29fWFm5sbIiIidEk3NTUVx48fL9cd1kRERFXFaK4Jx8fHIyoqCvHx8dBoNIiKikJUVBTS09N1dRo0aIBt27YBACRJwqRJk/Dxxx9jx44d+OuvvzB06FB4eHigT58+Mh0FERHRv2RtCZfHjBkzsGbNGt375s2bAwAOHDiATp06AQBiYmKQkpKiq/Pee+8hIyMDo0aNQnJyMjp06IDdu3fDwsKiWmMnIiIqjtE9J1zd+JwhkfHi+UuGzmi6o4mIiEwNkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkYjRJeM6cOWjXrh2srKzg4OBQpnWGDRsGSZL0Xl27dq3aQImIiMrITO4Ayio3Nxf9+/dHUFAQVq5cWeb1unbtilWrVuneq9XqqgiPiIio3IwmCc+ePRsAsHr16nKtp1ar4ebmVgURERERPRmj6Y6uqIMHD8LFxQX169fHmDFjcO/ePblDIiIiAmBELeGK6Nq1K15++WX4+vriypUr+M9//oNu3bohMjISSqWy2HVycnKQk5Oje5+amlpd4RLRE+L5S8ZG1pbw1KlTi9w49ejr4sWLFd7+oEGD0KtXLzRp0gR9+vTBzp07cfLkSRw8eLDEdcLDw2Fvb697eXp6Vnj/RFS9eP6SsZGEEEKunSclJT22e9jPzw8qlUr3fvXq1Zg0aRKSk5MrtE9nZ2d8/PHHePPNN4tdXtw3aU9PT6SkpMDOzq5C+ySi6sHzl4yNrN3Rzs7OcHZ2rrb93bhxA/fu3YO7u3uJddRqNe+gJjJSPH/J2BjNjVnx8fGIiopCfHw8NBoNoqKiEBUVhfT0dF2dBg0aYNu2bQCA9PR0TJkyBceOHUNcXBwiIiLQu3dv1KlTB6GhoXIdBhERkY7R3Jg1Y8YMrFmzRve+efPmAIADBw6gU6dOAICYmBikpKQAAJRKJc6dO4c1a9YgOTkZHh4e6NKlCz766CN+UyYiIoMg6zVhY5Camgp7e3teUyIyQjx/ydAZTXc0ERGRqWESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyMIgnHxcVhxIgR8PX1haWlJZ555hnMnDkTubm5pa6XnZ2NcePGoWbNmrCxsUHfvn2RmJhYTVETERGVziiS8MWLF6HVavH111/j/Pnz+OKLL7B8+XL85z//KXW9t99+G7/88gs2b96MQ4cO4datW3j55ZerKWoiIqLSSUIIIXcQFTF//nwsW7YMV69eLXZ5SkoKnJ2dsWHDBvTr1w9AQTJv2LAhIiMj0bZt2zLtJzU1Ffb29khJSYGdnV2lxU9EVY/nLxk6o2gJFyclJQWOjo4lLj99+jTy8vIQEhKiK2vQoAG8vLwQGRlZHSESERGVykzuACri8uXLWLx4MT777LMS6yQkJEClUsHBwUGv3NXVFQkJCSWul5OTg5ycHN37lJQUAAXfqIlIfra2tpAkqdhlj56/PG/J0MmahKdOnYp58+aVWic6OhoNGjTQvb958ya6du2K/v37Y+TIkZUeU3h4OGbPnl2k3NPTs9L3RUTld+fOHTg7Oxe7rKTzl8hQyXpNOCkpCffu3Su1jp+fH1QqFQDg1q1b6NSpE9q2bYvVq1dDoSi5N33//v14/vnn8eDBA73WsLe3NyZNmoS333672PUe/SadnJwMb29vxMfHw97evhxHZzxSU1Ph6emJ69evm+R1M1M/PuDpOsbk5OQSz8VHz18hBHJzc+Hk5FRi65lITrK2hJ2dnUv8RvuomzdvonPnzmjZsiVWrVpVagIGgJYtW8Lc3BwRERHo27cvACAmJgbx8fEICgoqcT21Wg21Wl2k3N7e3mT/uBWys7Mz6WM09eMDno5jLC2ZlnT+Ehkqo7gx6+bNm+jUqRO8vLzw2WefISkpCQkJCXrXdm/evIkGDRrgxIkTAAqS5ogRIzB58mQcOHAAp0+fxvDhwxEUFFTmO6OJiIiqklHcmLV3715cvnwZly9fRu3atfWWFfam5+XlISYmBpmZmbplX3zxBRQKBfr27YucnByEhoZi6dKl1Ro7ERFRSYwiCQ8bNgzDhg0rtY6Pjw8evbxtYWGBJUuWYMmSJRXet1qtxsyZM026i8vUj9HUjw/gMRIZK6MdrIOIiMjYGcU1YSIiIlPEJExERCQTJmEiIiKZMAmXUUWnUzQ2c+bMQbt27WBlZVVkyE9jtWTJEvj4+MDCwgKBgYG6x9hMweHDh9GzZ094eHhAkiRs375d7pAqXXh4OFq3bg1bW1u4uLigT58+iImJkTssokrBJFxGFZ1O0djk5uaif//+GDNmjNyhVIpNmzZh8uTJmDlzJs6cOYOAgACEhobizp07codWKTIyMhAQEPBETwAYukOHDmHcuHE4duwY9u7di7y8PHTp0gUZGRlyh0b0xHh39BN43HSKxmz16tWYNGkSkpOT5Q7liQQGBqJ169b46quvAABarRaenp6YMGECpk6dKnN0lUuSJGzbtg19+vSRO5QqlZSUBBcXFxw6dAjPPvus3OEQPRG2hJ/A46ZTJHnl5ubi9OnTetNZKhQKhISEcDpLI1Y4sxnPPTIFTMIVVDid4ptvvil3KFSCu3fvQqPRwNXVVa/8cdNZkuHSarWYNGkS2rdvj8aNG8sdDtETe+qT8NSpUyFJUqmvixcv6q1T1dMpVraKHCORIRo3bhz+/vtvbNy4Ue5QiCqFUQxbWZXeeeedxw6J6efnp/v51q1b6Ny5M9q1a4cVK1ZUcXSVo7zHaCqcnJygVCqRmJioV56YmAg3NzeZoqKKGj9+PHbu3InDhw8XGUOeyFg99Um4KqdTNBTlOUZTolKp0LJlS0REROhuVtJqtYiIiMD48ePlDY7KTAiBCRMmYNu2bTh48CB8fX3lDomo0jz1SbisCqdT9Pb21k2nWMiUWlXx8fG4f/8+4uPjodFoEBUVBQCoU6cObGxs5A2uAiZPnoywsDC0atUKbdq0wcKFC5GRkYHhw4fLHVqlSE9Px+XLl3XvY2NjERUVBUdHR3h5eckYWeUZN24cNmzYgJ9//hm2tra66/n29vawtLSUOTqiJySoTFatWiUAFPsyJWFhYcUe44EDB+QOrcIWL14svLy8hEqlEm3atBHHjh2TO6RKc+DAgWJ/X2FhYXKHVmlKOu9WrVold2hET4zPCRMREcnEOC5qEhERmSAmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYTJphw8fRs+ePeHh4QFJkrB9+3a5QyIi0mESJpOWkZGBgIAALFmyRO5QiIiK4CxKZNK6deuGbt26yR0GEVGx2BImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpnw7mgyaenp6bh8+bLufWxsLKKiouDo6AgvLy8ZIyMiAiQhhJA7CKKqcvDgQXTu3LlIeVhYGFavXl39ARERPYRJmIiISCa8JkxERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJv8HL5TCBbgANUAAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=0.00032, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, lasso_coeff=0.00064, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=0.0, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=5e-06, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=1e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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bzSIxMVFcfvnlIjs7+7jKzMrKEjfccINISkoSBoNBREVFiXHjxolff/31kPs/cDjR/kPQ9jdp0iRhs9kapXHAECUhhMjJyRFXX321iI6OFiaTSaSlpYlbbrklOAzsSEPTXn75ZdGhQwdhMBhEbGysmDx5sqioqGiU51CzXB3Na3agA4coKYoiIiIixLhx48Tq1auD+c477zxhNpsPOY2lEEJcc801wmAwiNLSUiHE7+fyYH8HnjdJOt0pQpzAXiPSITVMqFBSUkJUVFRzV+e09d577/G3v/2NlStXHnRIjyRJ0ulE3hOWJEmSpGYi7wmfImpra494LzU6OvqQQ0yk37lcroN2JttfRETEUY8n/ispKSk57OQZRqPxmCdFkSTp0GQQPkX8+9//5pFHHjlsnqysrOACCtKhffbZZ/ztb387bJ758+fLdWoPok+fPgedWKXB0KFDWbBgwZ9XIUlq4eQ94VPE7t27jzh14KBBgxr1epYOrqCggM2bNx82T69evRqtxCTVW7JkSaOJVQ4UHh5Or169/sQaSVLLJoOwJElSM7rmmmt4//33eeqpp4JDuwC++eYbLrjgghM645p06pEdsyRJkpqZ2WzmmWeeOew841LLJIOwJEnSPmvXb2TKA09w2V2PMfn+x1m7fuOfst+RI0cSFxfHU089dcg8X375JZ06dcJkMpGSkhJcIKNBSkoKTz75JNdeey0hISEkJSXx5ptvBp/3er3ceuuttGrVCrPZTHJycnB/1157LWPHjm1Uns/nIyYmhnfeeQeAYcOGcfvtt3PvvfcSERFBXFxccMGVBrm5uZx//vnY7XYcDgcXX3wxRUVFweenTp1K9+7d+fDDD0lJSSE0NJRLL700uFDKBx98QGRkJB6Pp1G548eP56qrrmpUxrvvvktSUhJ2u50pU6YQCAR49tlniYuLIyYmhieeeOKY6tYwF/7+7rzzzkZ9R2bMmEGXLl2wWCxERkYycuTI4Lrex0sGYUmSJOoD8D9e/5rc2MHUpg5nT9wQ/vH6139KINbpdDz55JO89NJLwbnV97d69WouvvhiLr30UjZu3MjUqVN58MEHee+99xrle/755+nduzdr165lypQpTJ48mczMTABefPFFvvvuOz7//HMyMzOZPn16sKPn9ddfz88//9xoatsffvgBp9MZnMkM6ldOs9lsLF++nGeffZZHH300OM+7pmmcf/75lJeXs3DhQmbPns3u3bsbbQ+wa9cuvvnmG3744Qd++OEHFi5cyNNPPw3AxIkTCQQCjaYxLS4u5scff+Taa69tVMbMmTP5+eef+eSTT3jnnXc499xz2bt3LwsXLuSZZ57hX//6F8uXLz+muh1OQUEBl112Gddeey1bt25lwYIFXHjhhX/8dkHzzRMiSdKJ4na7xd/+9jeRmJgoQkJCRL9+/cTSpUubu1qnlcn3Py7OfWGhGPvir8G/c19YKCbf//hJ3e+kSZPE+eefL4QQon///uLaa68VQgjx9ddfB2eWu/zyy8VZZ53VaLt77rlHZGRkBB8nJyeLK6+8MvhY0zQRExMjXnvtNSGEELfddps488wzhaZpB61HRkaGeOaZZ4KPzzvvPHHNNdcEHw8dOlQMGjSo0TZ9+vQR//jHP4QQQsyaNUvodDqRm5sbfH7z5s0CECtWrBBC1M+GZrVaG83sd88994h+/foFH0+ePFmMGTMm+Pj5558XaWlpwXofrIzRo0eLlJQUEQgEgmnt27cXTz311FHXbf/XocEdd9whhg4dKoQQYvXq1QI47pn5DkW2hCWpBfD7/aSkpLB48WIqKyu58847Oe+88/6Uebxbigq3hqI2/kpUVJUKt/an1eGZZ57h/fffZ+vWrY3St27d2mQ1soEDB7Jjx45G47q7du0a/LeiKMTFxVFcXAzUX25dt24d7du35/bbb2fWrFmNyrv++uuZNm0aAEVFRcycObNR6/PA8qF+ydGG8rdu3UpiYmKjNbUzMjIICwtrdDwpKSmN1ufevwyAG264gVmzZpGXlwfUz5J3zTXXNFqt7cAyYmNjycjIQN3v9YuNjT3muh1Ot27dGDFiBF26dGHixIm89dZbJ+QevgzCktQC2Gw2HnroIZKSklBVlUsvvRSj0Ri8FCkdWbhZRWiNA67QNMLNf97X5JAhQxg9ejT333//cW1vMBgaPVYUJbimeM+ePcnKyuKxxx7D5XJx8cUXM2HChGDeq6++mt27d7Ns2TI++ugjUlNTGTx48FGXfyLqCNCjRw+6devGBx98wOrVq9m8eXOTtcQPVsYfrZuqqk0uLft8vuC/dTods2fPZubMmWRkZPDSSy/Rvn17srKyjnofB93vH9pakk5xHo+Hf/zjH8THx2OxWOjXr1+TtYoPZ82aNYwbN46IiAisViudO3fmxRdfbJRn8+bNTJw4kbS0NKxWK1FRUQwZMoTvv//+D9X9l19+QVGU4J/BYCA9PZ2pU6fi9XoPu+2OHTsoLy8nPT39D9WhwR89j/t74oknUBSFzp07n5C6nSg3XDIO77YFwUAsNA3vtgXccMnBV4A6WZ5++mm+//77RsuCduzYkSVLljTKt2TJEtq1a3dMs+g5HA4uueQS3nrrLT777DO+/PJLysvLgfpVxcaPH8+0adOCc7Qfi44dO7Jnzx727NkTTNuyZQuVlZVkZGQcU1nXX3897733HtOmTWPkyJGNWrDH42jqFh0d3WS513Xr1jV6rCgKAwcO5JFHHmHt2rUYjUa+/vrrP1Q3OWOW1KJdc801zJgxgzvvvJO2bdvy3nvvcc455zB//nwGDRp02G1nzZrFeeedR48ePXjwwQex2+3s2rWrSceZnJwcampqmDRpEvHx8TidTr788kvGjRvHG2+8wY033nhcdW9YYvI///kP0dHROJ1OvvjiCx555BE8Hs8he9K6XC6uvPJK7r//fkJDQ49r3wf6I+dxf3v37uXJJ5/EZrOdkHqdSD26deGZm+Gtz76jwl3fAr7h5gvo0a3Ln1qPLl26cMUVVzT6sff3v/+dPn368Nhjj3HJJZewbNkyXn75ZV599dWjLvc///kPrVq1okePHqiqyhdffEFcXFyjpTKvv/56xo4dSyAQYNKkScdU75EjRwbr/sILL+D3+5kyZQpDhw495sVWLr/8cu6++27eeustPvjgg2Pa9njrduaZZ/Lcc8/xwQcfMGDAAD766CM2bdpEjx49gPr10ufOncuoUaOIiYlh+fLllJSU0LFjxz9WuRN6h1lqkWpra5u7Csdl+fLlAhDPPfdcMM3lcok2bdqIAQMGHHbbqqoqERsbKy644IJGnT2Olt/vF926dRPt27c/5m0bXHHFFcJsNgu/3x9M83g8Ii4uTqSmph50G6/XK84991xx+eWXH7IDzrH6I+fxQJdccok488wzD7ms4l/RwToEZWVlCaPR2GjJzxkzZoiMjAxhMBhEUlJSo9dDiPqOWf/9738bpXXr1i24/OObb74punfvLmw2m3A4HGLEiBFizZo1jfJrmiaSk5PFOeec06SeQ4cOFXfccUejtPPPP19MmjQp+DgnJ0eMGzdO2Gw2ERISIiZOnCgKCwuDzz/88MOiW7dujcr473//e9ClNK+66ioREREh3G53o/SDlXGwc3hgfY9UNyGEeOihh0RsbKwIDQ0V//d//yduvfXWYMesLVu2iNGjRweXG23Xrp146aWXmtT7WMkgfIpqWFN169atYuLEiSIkJERERESI22+/XbhcrkZ59+7dK/72t7+JmJgYYTQaRUZGhnjnnXca5cnOzhaTJ08W7dq1E2azWURERIgJEyaIrKysg+538+bN4rLLLhNhYWGie/fuQgghqqurxR133CGSk5OF0WgU0dHRYuTIkY3WjxVCiDVr1oizzz5bhISECJvNJs4880yxbNmyg+5nx44dYtKkSSI0NFQ4HA5xzTXXHHbt2WNxzz33CJ1OJ6qqqhqlP/nkkwJo1FPyQK+99poAxJYtW4QQ9T9EjjUYjx07VsTGxh57xffp3Lmz6NWrV5P0nj17ioiIiCbpgUBAXHLJJWLs2LHC5/Md934P9EfO4/4WLlwodDqd2LBhgwzCp6iamhrhcDjEl19+2dxVEWeeeaa47bbbmrsaJ528HH2Ku/jii0lJSeGpp57it99+48UXX6SioiJ4iaaoqIj+/fujKAq33nor0dHRzJw5k+uuu47q6mruvPNOAFauXMnSpUu59NJLSUhIIDs7m9dee41hw4axZcsWrFZro/1OnDiRtm3b8uSTTwY7K9x8883MmDGDW2+9lYyMDMrKyli8eDFbt26lZ8+eQP390cGDB+NwOLj33nsxGAy88cYbDBs2jIULF9KvX78mx5eamspTTz3FmjVrePvtt4mJieGZZ54J5vH5fEdcFalBREREsIfk2rVradeuHQ6Ho1Gevn37AvX3ew51r2nOnDk4HA7y8vIYP34827dvx2azcdVVV/Hf//73oHN419XVBVdw+u6775g5c+YxjUPcn9frJTMzMzhBQYP8/Hy2bNnC0KFDm2xz0003UVBQwC+//IJe3/Sj3RznsUEgEOC2227j+uuvp0uXP/fyrnRkmqZRWlrK888/T1hYGOPG/bn3wfdXUVHBggULWLBgwTFdbj9tNfevAOngGlqK48aNa5Q+ZcoUAYj169cLIYS47rrrRKtWrURpaWmjfJdeeqkIDQ0VTqdTCCGC/9/fsmXLBCA++OCDJvu97LLLmuQPDQ0Vt9xyy2HrPX78eGE0GsWuXbuCafn5+SIkJEQMGTKkyX4axkQ2uOCCC0RkZGSjtPnz5wvgqP72b9l36tRJnHnmmU3q2DA+8PXXXz/kcXTt2lVYrVZhtVrFbbfdJr788ktx2223CUBceumlB93mpptuCtZDVVUxYcIEUV5eftjzdShr164VgHjsscdESUmJyM/PFz///LPo1q2bsNlsYuXKlY3yZ2dnC0CYzWZhs9mCf4sWLQrmaY7z2ODll18WoaGhori4WAghZEv4FJOVlSUAkZCQIObMmdOsdUlOThYOh6PJ5faWSraET3G33HJLo8e33XYbr776Kj/99BNdunThyy+/5OKLL0YIQWlpaTDf6NGj+fTTT1mzZg0DBw7EYrEEn/P5fFRXV5Oenk5YWBhr1qxp0uK6+eabm9QlLCyM5cuXk5+fT3x8fJPnA4EAs2bNYvz48aSlpQXTW7VqxeWXX85bb71FdXV1oxbVgfsZPHgwX3/9daN83bp1O+qeuHFxccF/u1wuTCZTkzwNrdjDrRZUW1uL0+nk5ptvDnaQufDCC/F6vbzxxhs8+uijtG3bttE2d955JxMmTCA/P5/PP/+cQCBwxF7Mh7JhwwYAHnzwQR588MFg+rBhw1i8eDHdu3dvlD85OfmIM/c0x3kEKCsr46GHHuLBBx8kOjr6qPYv/blSUlJOmYUisrOzm7sKfyoZhE9xB37Rt2nTBlVVyc7OpqSkhMrKSt58881Gc8Tur2Gwusvl4qmnnmLatGnk5eU1+sAd7BJlampqk7Rnn32WSZMmkZiYSK9evTjnnHO4+uqrgwG3pKQEp9NJ+/btm2zbsWNHNE1jz549dOrUKZielJTUKF/D8oIVFRXBIBweHs7IkSMPenyHY7FYmsxBC+B2u4PPH25bgMsuu6xR+uWXX84bb7zBsmXLmrw2HTp0oEOHDkD9mMtRo0Zx3nnnsXz58kYTDRyNhp7RP/74I0ajkaKiIp566ilWr1593D2em+M8AvzrX/8iIiKC22677Zj3LUktnQzCp5n9v8wbBqJfeeWVhxxO0DDDzW233ca0adO48847GTBgAKGhoSiKwqWXXnrQAe0H+2K9+OKLgy3VWbNm8dxzz/HMM8/w1VdfMWbMmOM6nkONcdz/R4LX6w2OZTyS6OjoYJmtWrUKzrqzv4axgAdrzTeIj49n8+bNxMbGNkqPiYkBOKqZciZMmMBNN93E9u3bD/rD5HA2bNhAcnIy55xzTjCtZ8+eZGRk8Oqrr/Lcc88dU3nQPOdxx44dvPnmm7zwwgvk5+cH091uNz6fj+zsbBwOBxEREcdyKJLUYsggfIrbsWNHo1bpzp070TSNlJQUoqOjCQkJIRAIHLGFM2PGDCZNmtRo5RW3201lZeUx1adVq1ZMmTKFKVOmUFxcTM+ePXniiScYM2YM0dHRWK3Wg87StG3bNlRVPa5B90uXLmX48OFHlTcrKys4KX337t2ZP39+k0vgDZO6H3hJd3+9evVi9uzZ5OXlNQqgDYHkaC6rNlymPdrOUPvbsGFDsONTg44dO9K7d2++/PLL4wrCzXEe8/Ly0DSN22+/ndtvv73J86mpqdxxxx288MILR30cktSSyCB8invllVcYNWpU8PFLL70EwJgxY9DpdFx00UV8/PHHbNq0qckMRCUlJcFgodPpmtzzeemllxrNO3s4gUCA2traRpdCY2JiiI+PD16q1Ol0jBo1im+//Zbs7Ozgl3hRUREff/wxgwYNatLD9mgc773MCRMm8O9//5s333yTu+++G6if+WnatGn069cv+IPA6XSSm5tLVFQUUVFRQH2r/+mnn+add97hzDPPDJb59ttvo9frGy1vVlxcHGwhN/D5fHzwwQdYLJZjni2osLCQ4uLig84oNXr0aJ544gm2bt16zJMENMd57Ny580FnFPrXv/5FTU0N//vf/2jTps0xHYcktSQyCJ/isrKyGDduHGeffXZwTtfLL7+cbt26AfVT3M2fP59+/fpxww03kJGRQXl5OWvWrGHOnDnBy49jx47lww8/JDQ0lIyMDJYtW8acOXOIjIw8qnrU1NSQkJDAhAkT6NatG3a7nTlz5rBy5cpGrevHH3+c2bNnM2jQIKZMmYJer+eNN97A4/Hw7LPPHtc5ON57mf369WPixIncf//9FBcXk56ezvvvv092dnZwjVSAFStWMHz4cB5++OHg+qg9evTg2muv5d1338Xv9zN06FAWLFjAF198wf3339/oEuxNN91EdXU1Q4YMoXXr1hQWFjJ9+nS2bdvG888/j91ub1QvRVGC5R1Mw/3ggw3lGTVqFE888QQ//vjjMQfh5jiPUVFRTdZoBYIt34M9J0l/Kc3ZNVs6tIYhPFu2bBETJkwQISEhIjw8XNx6661NJusoKioSt9xyi0hMTBQGg0HExcWJESNGiDfffDOYp6KiQvztb38TUVFRwm63i9GjR4tt27aJ5OTkRjPeNOy3pKSk0T48Ho+45557RLdu3YKTcHTr1k28+uqrTeq+Zs0aMXr0aGG324XVahXDhw9vsqzeofYzbdq0JkNk/giXyyXuvvtuER4VI3R6o+jZq7f4+eefG+VpGLrTMLNQA6/XK6ZOnSqSk5OFwWAQ6enpTWYkEkKITz75RIwcOVLExsYKvV4vwsPDxciRI8W3337bJG9NTc1hhzkJIcSzzz7baBjagXUKCQkRw4cPP7oTcII0nMe4uDhhMplEnz59jvo8HowcoiRJ9RQhTpF+6VIjU6dO5ZFHHqGkpCR4aU86Pp+syOX+r+oXZn/6wi5c2jfpCFucPD/99BNjx45l/fr1ctIK6S9l6tSpfPPNN00WRfirk6soSS3eDxvy6ZoQSud4B99vyD/yBifR/PnzufTSS2UAloD6fhuTJ08mKSkJk8lEXFwco0ePbrRikqIofPPNN39anQoLC7nttttIS0vDZDKRmJjIeeedx9y5c/+0OvyVyHvCUovmD2isyalkfI/W2Iw63l2SRWmthyh708kn/gzH06tZarkuuugivF4v77//PmlpaRQVFTF37lzKysqapT7Z2dkMHDiQsLAwnnvuObp06YLP5+OXX37hlltuYdu2bc1Sr5ZMtoSlFm1zfjUuX4AOcSH0SakfizpnS1Ez10o6VW1Zv5aX/3kTb9w9gZf+eSNb1q89afuqrKzk119/5ZlnnmH48OEkJyfTt29f7r///uDczQ0jDC644AIURQk+Bnjttddo06YNRqOR9u3b8+GHHzYqX1EUXnvtNcaMGYPFYiEtLY0ZM2Yctk5TpkxBURRWrFjBRRddRLt27ejUqRN33XUXv/32WzBfbm4u559/Pna7HYfDwcUXX0xRUePP1dNPP01sbCwhISFcd911wcldGmiaxqOPPkpCQgImk4nu3bvz888/B5/Pzs5GURS++uorhg8fjtVqpVu3bo3WWW4RmvumtCSdTG8t2iXaPvCTWJRZLJbuLBWDnpkr/vn1huaulnQK2rxujXjv1iEi8OpgIV6v//97tw4Rm9etOfLGx8Hn8wm73S7uvPPOJsv1NSguLhaAmDZtmigoKAjOvf3VV18Jg8EgXnnlFZGZmSmef/55odPpxLx584LbAiIyMlK89dZbIjMzU/zrX/8SOp0uuDLYgcrKyoSiKOLJJ588bL0DgYDo3r27GDRokFi1apX47bffRK9evYJL/gkhxGeffSZMJpN4++23xbZt28Q///lPERIS0mgJwv/85z/C4XCITz75RGzbtk3ce++9wmAwiO3btwshfp/PukOHDuKHH34QmZmZYsKECSI5OfmErhLW3GQQllq0Gz9YKca8sEgs3Vkqlu4sFZe+uUxc9OqS5q6WdAp66YEbgwG44S/w6mDx0gM3nrR9zpgxQ4SHhwuz2SzOOOMMcf/99zfpFQ+Ir7/+ulHaGWecIW644YZGaRMnTmy0DjAgbr755kZ5+vXrJyZPnnzQujSsG/3VV18dts6zZs0SOp2u0RKWDYt5rFixQgghxIABA8SUKVOa7Hv/IBwfHy+eeOKJRnn69OkT3K4hCL/99ttN9rN169bD1vF0Ii9HSy3a+r1VpMf8Pk43KdxKZlHNKTNZvXTqMHjKUNXGc3yrqoLBc3RTfR6Piy66iPz8fL777jvOPvtsFixYQM+ePXnvvfcOu93WrVsZOHBgo7SBAweydevWRmkDBgxo8vjAPA2O9jOxdetWEhMTG81+l5GRQVhYWLDsrVu3Nlm2dP+6VFdXk5+ff1TH0DD1LtTP2Ae/z4nfEsggLLVYLm+Awio38WG/r/2bGGGlxu2nsNp9mC2lvyKfKRJNaxyINE3gM53cea3NZjNnnXUWDz74IEuXLuWaa67h4YcfPqn7PJi2bduiKMop1/nKYDAE/90wd/7B5rs/XckgLLVYWaV1ALQK/X0xisTw+n9vK6xpljpJp64zL76ZD7cowUCsaYIPtyiceXHTZT1PpoyMDOrq6oKPDQZDk+llO3bs2GgYE8CSJUuaTJG6f2eqhseHmmktIiKC0aNH88orrzTaf4OGeeY7duzInj172LNnT/C5LVu2UFlZGdx/x44dg3OLH6wuDoeD+Pj4ozqGlk4OUZJarN+D8O8t4agQExaDju2FNQxvH3OoTaW/oIxuPeD6F3j189cxeMrxmSI48/qb69NPgrKyMiZOnMi1115L165dCQkJYdWqVTz77LOcf/75wXwpKSnMnTuXgQMHYjKZCA8P55577uHiiy+mR48ejBw5ku+//56vvvqKOXPmNNrHF198Qe/evRk0aBDTp09nxYoVjaYaPdArr7zCwIED6du3L48++ihdu3bF7/cze/ZsXnvtNbZu3crIkSPp0qULV1xxBS+88AJ+v58pU6YwdOhQevfuDcAdd9zBNddcQ+/evRk4cCDTp09n8+bNjdYZv+eee3j44Ydp06YN3bt3Z9q0aaxbt47p06ef4DN9imvum9KSdLK8NHe76Pzwz8FOWQ1/Z/1ngfi/T9c2d/Wkvzi32y3uu+8+0bNnTxEaGiqsVqto3769+Ne//iWcTmcw33fffSfS09OFXq8XycnJwfRXX31VpKWlCYPBINq1ayc++OCDRuUD4pVXXhFnnXWWMJlMIiUlRXz22WdHrFd+fr645ZZbRHJysjAajaJ169Zi3LhxYv78+cE8OTk5Yty4ccJms4mQkBAxceJEUVhY2KicJ554IjhN7qRJk8S9997bqGNWIBAQU6dOFa1btxYGg0F069ZNzJw5M/h8Q8estWvXBtMqKioE0Kgupzs5baXUYt312To25VfxyLjGqxG9sXAXpXVefrhtUDPVTJJOPkVR+Prrr+UiGac4eU9YarF2ldYS5zA3SY8LNZNTWid7SEuS1OxkEJZaJCEEu0vqGnXKahDnMFPj8VPp9DVDzSRJkn4nO2ZJLVJ5nZcat79Rp6wGsfvSssrqCLcZ/+yqSdKfQl7pOT3IlrDUIuWUO4HfA+7+Gi5R55Q1HYYhSZL0Z5JBWGqR9uwLwjEhTVdLMht0hFsNZJc6/+xqSZIkNSKDsNQi5ZY5cZj1WI0Hv+MS6zDLlrAkSc1OBmGpRdpT4TxoK7hBrMPM7lIZhCVJal4yCEstUk6Zk+iQpveDG8Q5zOSUycvRkiQ1LxmEpRYpt9xJjOPwLeEql49Kp/dPrJUkSVJjMghLLY7Xr1FU7SbmcC3hhmFK8pK0JEnNSAZhqcXJr3ShiYP3jG7QMEwpW3bOkiSpGckgLLU4uYcZntTAYqwfppQlhylJktSMZBCWWpzccieqApH2QwdhqG8NZ8vL0ZIkNSMZhKUWJ7fcSazDjE5VDptPDlOSJKm5ySAstTjZpXXEHqZndAO5mpIkSc1NBmGpxckqrTtsz+gGcaH1qymV18lhSpIkNQ8ZhKUWRdMEe/Zdjj4S2UNakqTmJoOw1KIU13hw+7VggD2cVqEWFGBnce3Jr5gkSdJByCAstSgNrdqDLWF4IKNeJS7UzPYiGYQlSWoeMghLLUpOWR0Khx8jvL+EcAuZhTUnt1KSJEmHIIOw1KJklzmJDjFh0B3dWzsh3Mr2IhmEJUlqHjIISy1KTlndUbeCob4lXFzjkQs5SJLULGQQllqU7YW1xIdZjjp/Yri1fjt5X1iSpGYgg7DUYnj8AbLL6kiMsB71Nq1C62fWypSXpCVJagYyCEstRlZpHX5NBFu3R0OvU4kPM7OtoPok1kySJOngZBCWWoyGXs4J4Ud/ORogLcrO2tzKk1AjSZKkw5NBWGoxthfVEGU3YjPpj2m7trF2thVWU+fxn6SaSZIkHZwMwlKLsa2w5phbwQDtYkLQBKzfU3niKyVJknQYMghLLUZmYQ0Jx3A/uEHrcAs2o47VORUnoVaSJEmHJoOw1CJUOX3srXCRdAw9oxuoikLbWDurZBCWJOlPJoOw1CKsya0PoG1jQo5r+7YxIazKLsfr105ktSRJkg5LBmGpRViVU06Y1UCs4+hny9pfr+Rw6rwBlu4qPcE1kyRJOjQZhKUWYWVWBe1iQlAU5bi2T4qwEucw88vmwhNcM0mSpEOTQVg67Xn9Guv3VtIu9vguRQMoikLvlHB+2VxEQBMnsHaSJEmHJoOwdNrblF+Fx6/RPs7+h8rplxpJeZ2XhduLT1DNJEmSDk8GYem0N3drEXaTnpQo2x8qp020jfQYO68v2H2CaiZJknR4MghLpzUhBD9sKKBXcjh69Y+9nRVFYVzXeFZkl8sxw5Ik/SlkEJZOa5lFNeSUOemXGnFCyuuVEk5ShIWp323GH5DDlSRJOrlkEJZOaz9uKMBm1NG5degJKU9VFG4YnMbm/CpeW7DrhJQpSZJ0KDIIS6ctty/A9OW5DGgThUF34t7K6TEhnN+9Nf+ZvZ2fNhacsHIlSZIOdGzLzUjSKeSL1XupdHoZ27XVCS97Qq8Eiqrd3PHpWvyaYFy3+BO+D0mSJBmEpdOS2xfgtQU76ZsaQazDfMLLVxWFyUPboFMVbv9kLVsLqrnrrHYntMUtSZIkv1Gk09JL83ZQUuPh4l6JJ20fep3K5KFtuKxPIm8u2s24lxcH56iWJEk6ERQhhJweSDqtbMqrYvwrSzi/ezwTTmIQ3t+uklreXZzF7tI6zukSx11ntSP9OBeLkCRJaiCDsHRaqXL6OPelXzHqVKaO6/SnXh7WNMGiHSV8uWYvZbVexnSJY8qw9BPWM1uSpL8eGYSl04bHH+Cad1eyIa+SJ8d3IeYk3As+Gr6AxsLtJfywIZ+iag9D20Vz25np9E45MWOVJUn665BBWDot+AIad3y6ltlbirhvTEcyWjmau0oENMFvu8v4dl0eeypc9EuNYPKwNgxtF33cqzlJkvTXIoOwdMpz+wLc+elaZm8t5o4RbelzirU4NSFYnV3Bt+vz2FVSR3qMncv7JjG2a6tma61LknR6kEFYOqWV1Hi46cNVbMqr5vYRbemVHN7cVTokIQRbC2v4ZXMhq3MqCGiCDnEh9EwOp22MneRIK4nhVhIjrJgNuuauriRJpwAZhKVT1rxtRdwzYwOBgODvo06v3si1bj9r91SwOb+arNI68qtc+AO/f9RahZrpGBdCp9ahdGkdSteEMGIdJnkZW5L+YmQQlk45mYU1PD8rk1lbiuieGMpNQ9oQZjU2d7X+EE0TVDi9FNd4KK5xk1/pJrfcSXZZHZVOHwCRdiMZrRy0iw0hLdpGaqSNxAgrcaFmOUmIJLVQMghLpwSn18/crcV8vmoPv+4oJTrExKV9EhmQFtmiW4dCCMrrvOwuqSOrrI495U7yKl0UVbvR9n0yFSDcZiTCasRq0mHQqQghCAhBQKt/3qRXCTHribCZiAs1kRBuJSmi/i8+zIJObbnnUJJOZzIIS83CH9DYUlDN8t3lLN5ZyrJdZXgDGm1j7IzoGMvANpHo/8KtP39Ao6TWQ0mNh9JaL5VOLzUePx5fAL8mUBUFVSH4A8UX0HB6A9S4fZTXeSmv8waDuF5VaB1uISnCSuswCzEOM5E2I2FWAzajHotRh0mvYtLrMBtUbCY9DosBm1HXon8ASdKpQAZh6aTx+jUqnF7Kar0UVrvYU+5iZ3EtWwuq2ZRfhdunYdKrtIsNoVtCGL1Twv/YPNABD1Tt3fe3B6oLoK4E3FXgcwECdCYwhYA1EuyxEBoPjtYQmlCfRssIOv6ARmmtl6Jqd/1fjYfSGg9ldR4qnD6qXT782uE/+kadSqTdSKzDTHyYmVahFuIcZmIcJiJtJkItBuxmPRZDffA26XUY9apsdUvSMZBB+AiEEKzPKmB7Yc2+xyD2pf+eBwQHP43Kvi/1hgZFQ8viwK+p/cs8XHkNZTaU15BX0yAgBJomCCAQmkAT9WVq+9VZiPohNYJ9/z/Mq7//PgA0rX6bgCbwBjRc+1pe1W4fFU4/5XUeyuq8eHzaoQsFWodbSIm00ibaTkqUDf2hWlvuMijLAjQI+OsrEPDU/3md4KkDTxU4K8Bb1XR7vRmMdtBbQG+oP+mBAPjc4K0DX+3B92sJA1MoGGxgMIPeCDoDoAO1oXV+hECj7PuPov7+7+A2DW8GtfEGv79JGj9mv8fKftsqDWUoB5Sx/7aNKtSINyBwB8AbUPBp4BPgDYDbD06/Qo0Pqr0KlV6Fco9Clff4gqtBFZh1YNGBUQcmncCggmnfY4MKRlVgVEGvgk4BVdnv/6pAr4BOrc/70A2Xyha61GLIIHwEJSUlxMTENHc1JEnap7i4mOjo6OauhiSdEHIpwyMwGut75e7ZsweHo/lnaToZqqurSUxMbLHH2NKPD/5ax9jwmZSklkAG4SNouOzlcDha7Jdbg5Z+jC39+OCvcYzyUrTUkvx1u59KkiRJUjOTQViSJEmSmokMwkdgMpl4+OGHMZlMzV2Vk6alH2NLPz6QxyhJpyvZO1qSJEmSmolsCUuSJElSM5FBWJIkSZKaiQzCkiRJktRMTpsg/NRTT9GnTx9CQkKIiYlh/PjxZGZmHnG7L774gg4dOmA2m+nSpQs//fTTn1BbSZIkSTqy0yYIL1y4kFtuuYXffvuN2bNn4/P5GDVqFHV1dYfcZunSpVx22WVcd911rF27lvHjxzN+/Hg2bdr0J9ZckiRJkg7utO0d3TCn88KFCxkyZMhB81xyySXU1dXxww8/BNP69+9P9+7def311/+sqkqSJEnSQZ2201ZWVdWvmhMREXHIPMuWLeOuu+5qlDZ69Gi++eabQ27j8XjweDzBx0IIvF4vUVFRcro8STrFyc+vdLo5LYOwpmnceeedDBw4kM6dOx8yX2FhIbGxsY3SYmNjKSwsPOQ2Tz31FI888kiT9KqqqhY/J29Lo2kaH/zvcUo3zkHvqyZgjaHjyCs5Z+LVJ3W/2zK3s3bTVjq1a0OXzp0O+uW/dVsmX82cQ3iog0vHn4vZbObCe/6DocOwJnnblP3GC1PvPui+/H4/E257mEDGmEbpnq3z+WjqTce8Apjb7WbiXU9Bx7Mal7dtER88eC1xcXEAzP91KU9+PBdju0GoegPuqlKiCpbz7r8fwmKxAFBeXs5lD/wPY6ffyxKahnX7z3z28hOHDYqbtmzj7y99hqHjmSiKghACz46lzH7pH4et/6E+v4l3fk7ufyce9XmQpD/LaRmEb7nlFjZt2sTixYtPeNn3339/o9Zzw8ot0unn83deZLDrZxJ76ah2W4mwupm14g1WJaTRe8CgE74/v9/PXVOfZUudBcKTYOkC0tQZvPjYfZjN5kZ5O3Zozz87tA8+1jQNC178B5Tpc9URFxFyyH1u3LiRClsiTX4etu7Gt7/M5YarLjumYzCbzUw6ux9vzJyPPq0fik6PN2sV43smYrVa+cfj/2ZHUQ3rt+7AFJFAyr67WebQKHYXxHD2VVOISUglxADhJhBJvRuVr6gqJcY4du7cSdu2bQ9Zjzc//QZDh+G/r7+tKJjannHE+svPr3S6Oe2C8K233soPP/zAokWLSEhIOGzeuLg4ioqKGqUVFRUFf80fjMlkktPitRClmxfwVbmPX6sjcJujcLjymdC6gt0zp5+UIPzGex+z1dgeS8PVl/BYcmoref61afzz/yYfdltVVRnZsy3fZmVhik0F6luNys6FXPfE/x1yO5PJhKIdGLpB8/uwmswH2eLIJow7hzN6d+ejL7/H6/Nz6R0XkZaWylV3/ovyxGHo2poxmDvhC2hsX/gVHUdeSnVhNgX5+YS1PwdH61a4hGDV0u+wRO4ipkPjQCwUlUAgcNg6VLo1FLVxv9GjuZwsP7/S6ea06R0thODWW2/l66+/Zt68eaSmph5xmwEDBjB37txGabNnz2bAgAEnq5rSKWTpjhJmhZyH6HoBpnaD8XS7hLcre5C999C3I/6IFZm5mMMb3/4w2sPYmFt8VNtPufZKLu5gxLZzNmrmHOLzF/Kfv//tsAvYd+jQgWj3XoSmNUo3Faxj3JiRx34Q+8THx3PvbTfxr7tuIT29DZ98PoNNzjCcvgCgoCDQ28LwWaNwlReRv3klloyhGPQ6oD5gtuozhsJNSxqVK4Qgwp1Pu3btDrv/SIsOLdD4x8Vp2odUkg7rtGkJ33LLLXz88cd8++23hISEBO/rhoaGBu9BXX311bRu3ZqnnnoKgDvuuIOhQ4fy/PPPc+655/Lpp5+yatUq3nzzzWY7DunPs9MfQ0xkfKM0XUovNm5fdFL2d6h22tF2B1IUheuvvITrrzz6faqqyhN33cADz79JqSURoRoIq83hrivGEhJy6MvY+3O73axesxab1UrXrl1Q92uBaprGvY/9m4++/QW16zjK84pBFGIz6hF6D6ojFmdlEQFUVE8dUa1+/8FgNBpJiIvGu2UugbjOaD4X1uJNPDD5skb7OJgpV03gtufeg44jUHV6hKbhzVwIDD76kyNJp4HTJgi/9tprAAwbNqxR+rRp07jmmmsAyM3NbfThPuOMM/j444/517/+xQMPPEDbtm355ptvDtuZS2o5IhLbU+TUEW704/IJnH6BpprokdrhpOzvjC5t+GJ3Pub9Ar+npozBaYe+/XEitEtvw+evPMW2bdtwu9107Xodev3RfbR//GUur3+zgGpHCmrAS2TdJzx9942kt0kD4Kvvf+KbZVtxG8IxOaswxqUDAqfHic1Ti9izHkt0CPbaPUREjMJoNAbLFppGp5RWPP2PW/hl/q/YbTGMGv7IUV0ubpvehpfuuYZXPpxBudNPqEnlhikXHtf5kaRT2Wk7TvjPUl1dTWhoqOwdfRqafP9jZIb2JregBGGwouoNaNWlZFT9xvfT3zrm8oQQlJSUYLFYDtrK1DSNfzz+POtKBf7QBHTVBXS0u3n+4XsaBaejEQgEmD1/IUtXb6BjeioXjj37uO511tTUoCgKdru9yXPl5eVcdv8LGDuP+v0YNQ3b9p/5dF/v5cn3P85nc5YTMmQSNetnY2nTG0N4PAiNQO46bugdzl03XcOs2XP439e/Yu85FlVnQGgBfNsW8PTNF9KjW5djrvf+duzYydwly0luHceYs0Yc07YNn9/EOz9n978vQq87be7ASX8Rp01LWJKO1d03XMnIa/+BrscF6M1W/JWF+LN+oya9PavXrKNXz+5HXdaylav43wffUqaEoA94aReh48n7bsdmswXzqKrKcw/dQ25uLpu2bqddm36kp7c55nq73W5uuu8x9lrbYonrxdIN+Xwx60Fef+zuox5ytHdvHg+98Bb5Lj0gSAmBx/5+c6P7y59/+xMiuQ/VRbnkb1pOABUdGhFhIezatYv09HQ8LieKwYJqtODodS7OnStxZ68DoWGpKyBp3BVces+zFAcsFOfk4F4/lY7t2tC1Q1tuvP1SOnVsf8g6HokQggefeYHfCjR0rTrg25HHmLOOvN2h1HkChFplEJZOLTIISy2WTlUwGnRULpmO3+/DaLHTduTl2COi+OqX+UcdhMvLy3nkra/Rdz4b874eupmuWu576n+89PgDTfInJSWRlJR03PV+/b2PKYjuh9VRPxGNJao17tBonnplGv995PDjZKG+FT354X9TljAUXZiRUIedXL+fOx79L9NfrG/h+nw+Zi9cwua9Lly1tRjjUgnLGAqqSs5vM3jh9XexhUURbjMjnBX4a8rQh0RibdsPb3E2/rJcHJ69fLAok1o1gsLiQixnXI1J1ZG3Zy29dCoZHQ7f+epIZs1byLKKEKzp9bcPjLbQP1RetdtHqNXwh8qQpBNNBmGpxXr1sb9TW+PBMWAiemso3ooCdiyYQadRl2EwHf1b/4MvvkWkDWw0RMZgsbM9V1BRUUF4ePgfqmdFRQUffvENxeWVjBrcnw1ZBZgSGgcwncFITrnrqMq775Gn2OiNxeTVITw+SivziY+JpMAYz4aNm+jWtQv/N/UZypOHY7C7MNqj8NeUUr7qB0I6DcHn8zPPlUxacgZ5pZkgNCoWfoQhKgGEhikuHWNMKh6zgV27sxB6E7ae44L712Lbs7KykJWr19C3d6/jPi8zf12BpfWJG8lQ7fadsLIk6USR12akFqm0tJT1u/OJ6HMeOkv9vXxjeCtsXUex/ae3uXL8OUddVllFFQZL03uqAYOVmpqaP1TP1WvXc/k/nuPH8hjWWXox9duNrF23AU1oTfIajuLTumfPHn5Zswt9RGtUvQGdwYSwhFJQUo4whVJcUsr27TvY5rRhj4oHTzXVq76jbvsy3OX5FM9+i/D+F6LYIsgvLKbOHI1j+A2YYpMRQsOU2BlbdALt2qQRmt4TWnfFZzywr4SCJTGDn+YtOWgdj5ZBVeEEdlmpcTcdTy1JzU22hKUWqa6ujlpDOHajQmF1OZpqAARGNBw6/zHdqz3nzIEs+XwltuSujdLD/eVHnDBmf0II3vrgU35Zvond2dng9yB8HlqddydGQ32nK1tiBmV7d1GyZTmxnX5vBbrL8xmRkXzQcisrK1m6fBVRkeEsWLaKyB6jqNq2EYOj/v6vgkJA0aMUrqNv73HMWbgYEZqAp6aC2l1rsfU4B1VvJuD3Ur30U7y1lZhtZuq84FcVFEsIOoMZnd6IOTYN1VeH1WpBURSqqxw492z+/RgRGJQAAVcN8Um/33+ura1l2fKV2G02+vXtfcQhSgCXjB3BPz5ciDWt9xHzHo1ql2wJS6ceGYSlFikxMZGSGh8KIZhDzWgCBBCoqyQt+dju1/bv05teM+ezOncz1oSOBLxuAruXcvslo44qmDR44/2P+WxjNbt2l2BoOwpDaAw1uVso/fEDOo+6FIO1vsd1Yv+xeBdPg2111JkiMXsqOCMlnNtvuKVJmW9+8Clf/ZaJJ6ItimcX1VsWYu9+DuaAk6rNC7Gk9kBvtODc8RtnDU4iNDSULh3awbwf2FNQgK3raBS9GRQFAn501jA0VPQKuIWK2DfKWWgBFEDRGfD7VKpragl1OAgPD6OsaDc+ZyU6owXV5yIuNhLjjrlcdsc/Afj0q+/5YPYqnOHpqH434e9/xbP33ESbtFTcbjc/zZpLVU0d5541rFHHs949e3Dxxm18t2IuNbYEDJ4q4PhnOqv1yJawdOqRQVhqkVRVxWgyU1lZhiEioX7GDCFw5+/AGnlsQ30UReHZh+7h16W/MXPhMkLtNiY9dBOtWrU66jKEEMxalcnevGp0nUYhDEZ8fj+G2DaIkAhyVs8jffD5AGg+D4P69uTeW69n7969xMTEHHR43NZtmXy+ag+WjiNo6G6kj01jzfuPY+swCFApmf02AW8dRkVjfvgQ1t32EOOH9aKjrY7ddTWoJgtCqZ/mEr8HQ3gsvuIsqpUkVKMAnRF37iYsMSn4XdV4S7IxR8QRCNRfLg8zaEyZeBarNs2mUrETGhlDbP5W7r3jakJCQsjPz+edOesxZ5xFw6Auj9aeB194h7uvu5iHXvkYV1xXVKOVTx55k4v6tuGmSb/Pd33TpMu4/MIaNm/eQmzssS1GcaA67+GnypSk5iCDsNRiWaISKMrfjmvPFnS2UPw15RgdkQT0lmMuS1EUhgwcwJCBA1i/cRM/zFlARts0zujX96jmNNY0jZJqF5W1LuyG+sBXf7tTA50Bt+f3S6W+ncuYdN/VmM1m0tPTD1nmJ9/+jCm18aVaT1kBxrQ+qKGxeLI3Ejr0ahRVD5qP9ZvnEpYxmJVfrKGTLo8Ug5tdlUUIoxVF1aEaLRhbZ1Ax7108OXbCY1tRXV2LOTYVW/sB+GrLqVj4AbpW6SgZPXCXbKZblMIjD/wdvV6P2+3G6/U2+sHw8dc/ok/t27iOtZUs27iTC+58AiUkhjDfbhJ6DEUJHcYXK3/l7GE5JCf/fuk9JCSE/v37HfEcH4lTtoSlU5AMwlKLlZeTje3MKSACaB4nqiUE4a5j+4ZPjqs8n8/HnQ8/TaYnDDUyBf/G9SR88h2vPnH/QSfD2J9Op6M0Pwd0Ub/PY6mAEAF8RTuhYBvOXcsJ81cy5aIzGwWhQ9GEBopCwOdB1RlQVJX87eswJvegbvMCHD3H/n7cAR+W7mOpzvyV8J5j2LT2O7pGmzHunIev64VoPjfo9Lj3bEZnj8BfU0Jgbynnn9GHeZszcTlLsVqsdOvTn3HdWtOzSwfS26SyfO0G/nbv49T5FWKsKrdNuphO+wVhTauvY4OA103mr99j7DoWvdGM3mynuiSbnBWzSOk3GkNKbz7//mfuvuXG+lN0AtcAdvlkS1g69cggLLVcBhN1G+di6zwMnTUUzeOkduNs7MrxjRV9+6PP2G7uiKVV/TSUppBwil3JPP3y2zx+351H3D46IpzSggo8BTswtWqLJ38Hrpx1mGJSie00CEvVHh6952Y6ZdSPi83cvoNPvvsZgEvPG02H9o2HLWWkJfH+q2+ghCegBDxYzBaqamow+/0IoxX0xvogjEAoKqrRUh8UAXRGauO68X/9A9z/n+fRte4Mmh9jq3aEDb4Sf1Uh1Su+BL2B5Z/9j0+++Ylt23dQ5nQxd3MeK7fvpXWYmXXOMEyp9QtF7NU07vrvh7z94M0kJtZ3WLv0/DHMfuYj9B2GAFCw+TeM7Yeg16mIfQHWFJ1CdcE2Aj4vPo+bX5YtYdHmvWhAerSNh++8kYiIiON6zfbn9jXtcS5JzU0GYanFshj1mFK6ULdxDqCg6vWEZQzGtuuX4ypv5bYczAlDG6UZLDYyd1Ye1fapifGobYewbf6XVG9fSkATOPqMx6zTSGqTgtAED770HjNeeZK3P/qcz1bmYk7rA8CvL3/Dxb0TufHqS/no86/4bv5yVu4uwdr9HITOiGK04CzNw7d1OUZrKOxbgUhBQQsEUBQFTQQQAT+aCKAjgCEsDkVfSlKb9lS1GYZqtqPo6nuR6x0xGGLasHRzFrGxsZzRuzs/birGnDEQgGrg129eJ+XMK2i4w66oKrr2w3lj+ozgj5KkpCSuGNSOTxbNxRfTkaqCLEwR6bSOjaKguIwAAgUFrOH4nNXsXvwdKX3PhejWqMAOr5tbHvo30198/Jg6wR2Mxy9bwtKpRwZhqcXqkR7Pom2LMXcciqI3oblrqF37I9deMOS4yjtUCPC66nju5Tepqq3j3DMH0b9P74NeRr141CBemLWZPpfdRcHGpZQpDowmAwkx4YCCoipU2FJZsGAhX/22HWvHM4PbWtudwVcr5lFc+jKLKkLJq1Qx9RiHYjChuqoIN2rsrcpHZw3DYdZRWlKKK2sdxrh0AjWl6OwRuLLWoI9No/y3b4kMs7N9zicsbhtLqM1MpdeFJkAxmFB0BhRVQfN78apmNE3jvS9/wpR+wApG9igqqmsIdfw+j7bOaKK8wtMo2zWXTeD8s0cwb9ES1urSWeYXWMxmEuKi2VtYjE8x4i/LxZ9ZgSMkBFt06/3KM1NsTWHZipUM/IP3hT1+2RKWTj1ysg6pxerXNQNjaBR1WxZQvfJr3NlrMNtDGTHk+GZhGt47A1dxdqO0wi3L2FlYzVxnMussvfjX5yt54InnD7r27bmjR3B133gCv32AP3s1BkUjPioUq+X3jmKaTs+KdevxRLZtsr3bkcKPK3dgjk3D7/OiGi0oiorH7SZr8bdo9mjM3c6hVjMSHpeAw12Ic9knuHf+RtXcN/Bkr0Er30vAU0tdaBqOXueR22oom3OL0XxeVFsoQggCnlo8xdko1nBcLidbtmVS66tv6e5Pp/kJHHCYPlctrSObLm4RHh7OReeP5aH7/k502Xq8zhqMRiOpifHEuHK4elA7/n75GMLa9WmyrRISTVZu3uFemqPilUFYOgXJICy1WCt37MUUcGGKaIWt3RkYTFZsYVF88t2c4yrv8gnjGRxaiTdzEdV5O3FuX0LtztWkjrwCg8WGoqpYk7uyvMLKytVrGm2raRqP/Ptlpi/aRm2r3kQktUOXtw6bzdooX2h1Fv1790Lx1CKEwFlWgKu8CCEE1fm7KPIYyM4rQDNY8ZTtAaBm+29Yeo7DFp+OzmjC2v4MvI5EolIyMFmsxHQdQvq5N5Le50wMzlKMMWkYrSEoCuQWlmHvNZ7qlV9Tt3Ux/qoinFsX49q1EkNUIgGvh5c/mEGsw4TP48bn91E/4hri0jLwZv6K2HefOeB1Y9g5n8mTLj3kOTQajbz19D8Zasohau8iWhf8ygPndeOph/5B/z69MFfnNt2oZCeD+x3/9JcNZEtYOhXJy9FSi7VpayZq14sItYXVJyR2wJWfybadmw+73aEoisLDd99KcXExW7dtx2zqyD8/NaIojX/LWpM68/2cXxvNm/z+pzP4tSoMS4fuhAIkZ2BYPpPcBZ8R13MUmhZAn7eGOyeOZMiggehe+5CNG1dBeAIIgbfkB3wl2ZhbZ+A3hKCm9KFy2QxCOgwCgwmdXg/uWuKjwqlz1aBEtSZn7pvUerx4tywHoaHXGzA7IrG26YnXWYNTtaLaTKiqDlvGUNy5m1BNVowJHalZ/iXW6ATMbXqzPSef1hF2Nm1+B0v3sRgNeqLD7Dhc+fz9mrNYuHoJdT5BfLiV2x6764idqEJCQnjgzpubpEdFRTGsbSSz92zBktARAFfBTgbE64+qt/iRuOQ4YekUJIOw1GL5VSPodFRumo/mcWGwR2BJ7UZN5uo/VG5MTAwxMTGUl5ej883FU1PB3vWL8fp8GPQ6Ytp0JTK58eQai9Zux5I0LPjY6XQiWnejduknOFZ8xsAenXjgmbsJDQ3F6/WC3oypfR8CigFNaOgc8bhqqnBVFqHtXIUjvRdhfc+nZuM8fBUFUFdBfKsY7HY7UYDLWUehL0DEyJvw1lXjylqHhoKzrAi19HPC+l7Q6L615qpBMZqxpPUkUF2CzhpGaKdheEpz2bVmCebe99Ix3sne9b/i9vspKM/mm9efomOHDky4oH7xhkAgwEtvf8Dybbn4NWgX5+Aft1x3VOtwCyHIy8vj2ksvoOfGLXy/YAkChVGDe3DemGv+0OvVoE6OE5ZOQTIISy1WlMNG5uqZ2DqPRGcLxVdRQMWyL+nf44+3qgAiIiKIU6qZu/A7rN3GYDBZ0Xxudi77jB5jbuHbH39GURVGDh1MYL97xC63m70llSiWEIhIInzkRNbsWs7KtRsYOWwwb78/ncxADAbViKYF0BQ9+tAYrO3OwGAw4inNoWzuO2CPQqnMJzImAcUcQkFpJa0Ai8VC9opZWDsOwWCxUbV+DvY+41EVHX5nBcJZTc2mOUT3vwgFgb+2HM1dg8ERjeZ2UrdtMZao+iFG7h2/Edu2FzqjGZ3RHJzVy1VRxMp1m+jYoX44VWlpKVfecg/ZPgetuw3GGhHHGreTmx54iukvPnHYns0r16zjuXe/oFwXiU7zkmj28Oz9t52QYUn7q/PKICydemQQllosd20lkf2vIqDVT4phDo/F2P0s/K7jbwkLIfjwsy+Zt3obfg2ysrIJ63wefhFA89SiEwHiB17Edf96nqRhEwF445snSLAJCmsqMIWEU1peH4A1dx0GvY68giIClmQef+V9PF4vj7z2CYZeFxFQjfjdVRhCQtA0DcVoQfPWEtblTMqWfo7REY1R9ZA+6FzWf/cuWkQy1YUx6Eq2IwozsZ1zL87da7BlDEWnMwAaOr0JR2QkhXsUqpfPQGc043Z7sLUfTPXq7/HkZ6ICYYMvxp+zhh6RfupiE5ucB5/byQcz5rBi8240dzVbSv3kRQ9GsYaRuXYpVs1J2qDzKXa0Z/b8RYweMeyg57Ompoapr3+O0nkMln0t83yvh78//gLT/vPocb9OB1LR5CpK0ilJBmGpxYpLbsv22or6aSp1BjS/G7Nejy0iNpjH6/Wi1+uPegzq0y++ybwSK+Z9l5bzthdhU3WkxkcjhIZOp2PXnkL8ESnYovctFBGdRO76b4kLLCOvMhWv14SnNg9vznqsGcNxqlYURWFnrY5bnnyLkDMuozp7I4aoBBS9sT4AA7XbFmMw26nOXA56AwaLA+HozvqZ09HHpmOKb4+oKaT9WZeSv3ExZTkb8LmqsdjD982draJoXlq3SqAmJ4aklFRCE9sDgh3LfsHtKUeEtsZXkU/ZTy9w7cXn8cg/3+Cyu5+koiCEvC0rCaDDX1OGx+ulyzlXs9tkZsPsz7B3HIJQTfg8LnSpfSnfspC6+d8QERHJpkzfIYPwl9/PxJPQOxiAoX6Y055AKHv27CExsekPgONhVTxUOb0npCxJOpFOqyC8aNEinnvuOVavXk1BQQFff/0148ePP2T+BQsWMHz48CbpBQUFxMXFncSaSqeCsuIidB36ogQCaH4vOpMFLeChtrKChUt+460ZMylxq1hVP0O6pHHHjZMOG4xramr4dXsh5g4jgmk6VcGnmqitcxIW6qCyqhpNb0bVGncCcsd05qoRSZjMZh55/jXqEvpQ1e0ssIQD9S1szVmNaDsYj7MaX1kuZXPexJLaE2NcW+o2zMYUmYApvj1KwQ6sbfsjPLWYQyMRIVHUbZqPvVMrLKEO9GYrrbsPI++dfxGwxaApBiypPdHpVKIcNjxeL4HCbezZs4Y9BjM2vaDaq8NrDscYnoAxPBFPSRbvLS9gyy0P0D0thvd+XYSt9/noVR2BimLUnHX4qkrw+Dzo4zshTA68lcXoHDEoqoqlXX+0wu1U+cBqPPTXTGlFFQZr09sDAb3lD6/VvD+b4qHC7UcIcUKnwpSkP+q0GqJUV1dHt27deOWVV45pu8zMTAoKCoJ/+y+XJrVcAU8d7qIcfB43gUAAr6sOZ9Y6qivKeOKjWVSlnYUxYwT+DqP5Kd/ES29/cNjycnJyyKlV2b0nn125+ewtKCS2TWc8Oetwut1A/TTJzqw16EKjKSgqru9kRX2Q1el1DBk4gGkvPEFI7R72LUSE0AI4N88jvFUSnsIduEtyCR14JeGDryJQV0nJt0/jqywirNMQvLnrsbXpjdFoRDXZqCsvIuD1IvRGiue/h8lbBcCuxd8T2m8CaWddhVJXhr80B5Pw4nW7WPfzp5SXFFPqEtTaEsmt8OC2xmCMz8BbnochNo2wgZfj83vZZsngrS/nkNj/XEIUL9ZAHSajibBuI8nbugqd0Qw+N4peD4paP3hJCITHBToDjuQMduwtOeQ5PX/UcHx7NjZJD3Xl065du4NscXzsihe/JuRyhtIp57RqCY8ZM4YxY8Yc83YxMTGEhYWd+ApJpzTVaKZ601w01YBqcRCoq8BAgFybQlK/qxrlNUcnsXD9L9x+mJbSmx9/TXV5Cfak+gklXELDq/MTYdyDY9csAuWxuPbm4M4rxj7mNmoR1BSWERViIaI8k0EDLgcgKSmRV++/kXNv/AeesCR0CFIz+mC02Nn73TQc/Sbgd1WBomDLGIai06P6vdSt+Q67xYbOaEBRBP66KlRLCDqDCdUSijG+A3mZ69FpAdwGO2ExicTHxdJq3CRKd60ne8kn1Drd2LqfTUjPc9E8dVT++hG2nudiCo9H0Rsxt+lNzcqvcfS5AEtaH2ryduO3t6LU6cemFyTEx7EzJw9PbTVVJUX4Nq2kdu92tLCE+svmmoYmBM7tS4jvMYKkhHgC5U3H/rpcLlRVpW3bdEak2Zi9ayWWlB4EvB603cu486Iz0etP3NeTTa3/kVTp9BFiPr65wyXpZDitgvDx6t69Ox6Ph86dOzN16lQGDhx4yLwejweP5/dp96qrq/+MKkonQWF+PoGAAV1IDDqLo368bUUBVQEfOoOxSX5XQDnk5cqioiIyaww47HbcpTkYo5JRFBW3XyPOU8Av01+ntLSUqx97F2O7QexZ+z26+AwQsGfFIh577DaMxt/32bZtOlecO5zFrlaYw2IRQrDi/SewtB+Gag4h4KpBZ3WApuFI64lr9wqMrTrjEDWU7VqJGt8JRW9AZ7QgRIBAVRGG9L4ELA62LPwcR5cRxEVHAvUzXUWld2Pbkp+JGDW5fn5oRUWn0xM2ZBJVy2dgGnRF/bGrKubELngKd9QveuH34HNV4/O4qMNCXZ0Tv8+LMDrQ2yOwdj8HkvtS+ssrWNN6oXNE4yvJwdqmD36dCVf+TkaP+H289N69eUx+4HE25pQgDBYciptn7r6Zc86M5euf52OzGrn6kcnExsY2eQ2OxqE+vzalfqnIKpePE3OXWZJOjBYdhFu1asXrr79O79698Xg8vP322wwbNozly5fTs2fPg27z1FNP8cgjj/zJNZVOhqqqauyDrsbY0EEKQd22pbi3zsJdVYo5NCqYVwhBtFU95D3hvLw8XJYokvsPYOeyWVTsWo2iqtjMBkYN74ler+fneb8iWmUQERpFWOs2VORuBRR0fUZi1OmalPmv/5vMMy+/xfKt6yksKkSLSEbxeVBVBU2nQ1FUhCLQXNWEhUfiD4+ndvdSIiNiyFnzI8aUngSqi/Hs2URIx8GgqqCAQaei1ZVTVFpGaIid0opqAkJB05lA3VcPodUHYltofZ8tvxdVbwQtUN8Lu6YMd3EWxoQM/OV7qd2xAmt6X4pKPCgmG56tC7G3bou/tgJEAFuHgRj0epzZ67B1GopqC6M2ez0x4bWMOetaoH4c8VV3Psgu4rAOHoeiKHi1ALe+/BUfP3QtU++57Q+/5of6/FqV+sBc7fI1eU6SmtNpdU/4WLVv356bbrqJXr16ccYZZ/Duu+9yxhln8N///veQ29x///1UVVUF//bs2fMn1lg6oWwRGKMS0Nx1BJxVaF431nb98eutRBUsx11ZgsvlorqiDM+mWdx6xfmHLCotLQ1rbT65ewsJJPXG2mMs5q5jqFVsVFdVAhAZEUrAXQuAqjcQmdaVyLQu6DUPYaGhTcrU6XQ8cMfNfP3yVM7o0JqIrsMJlOei+X31M0MqCgKo276U1O4DaR1mplWgmMHxKqlhOrxbF6IAEf0vQA2JRFH14HUR3aYzrtyNFOXnsWtPAU7VgtvnQ7hrUXR6xL51iFFUhM9T/ycEAVcNIuDDlbUGX1kuQtNwbVuCKSwOR0pXXNsWU7ZoOr6Nv9C2S0869exHuN2C0RqCMTIRvTWUuJHXovO78eWsJ9Jh5obLLgxeWVjw62J2V2lYOwwOpqmqDl2H4bzw7qcn5CU/1OfXotTfm6+Ww5SkU0yLbgkfTN++fVm8ePEhnzeZTJhMpkM+L50+VJ0ef10lqtmOqrMifB4CzioMZjOP3nktV9z+T4r9ZlSdnrSYEAqK6zsQuVwunnjxDTbtKUfTIC3aykN33IivaDtlZjPG+PphPYHqUvw1pXwwewfXXL6L0WcO462vH0KLTgoudqD5fcR68+nUKePQ9VRVOqan8s2SYiJ6nE3F+lkE/F5UeySBqiIcad3JKy7DkreST198kpy8AmYvWY05rQfe8nz0USmgKPhriqlZ+il1FjuaNRxv5hIQGsJdiyEyEQxm3FlrMSd3re88pfmpWf8zmhYAVUVzVePcOAu7LoBbH4YuKglTXBuqfp0OBiO2+DTSYw0okamYW6UCEGKzUuWpw5O7gbDOw1FUHbbkrmiuKuIrVjFk0BnB49yTXwwm274ALNA0Ub/Qhaqn3Hnk4Khp2hGHkh3q82umvnyXTwZh6dTylwvC69ato1WrVs1dDelPoDrL9gXgfR1xDCaEq4oog8bUl94jevQUYnW/fwRe+XYOA3p15+H/vMHusF4Y29dPt7jd6+Gi629n8648AjE2PMVZKKqKarQQ0mk4/qyVvPHRl/x76r08/X/X8virH1BMKKrQiNfX8eQDtx/0PnMgEGDlqtW4PR4uvWg8z0ybhDLwb0T1vwBvTSlFs97ClNgZvC4qNs4Hi455S1bw09L1tBp+FcU/vk9ANVG59HM0Ty3ekmyM0SmIkBgcvc5DeJyoVgf+mjJc25fh6HM+1Su/wZW7CZ3FTsBZCaiE9Z+Ae/cqNE8dFjVA9wsmk703n6o6J9Wrf8DcbgDmmFS04p0U5O/l3PbJrCnKwhKbitVqha1rsGlOvNsX4Y/riOb3EFG2iamP3tnoPviZg/rxyFsz0LQAPn/9SsIoCoHaatxVpYd8Hbfv3MVzb05nb02Ama8d360iPQFUBZxy/mjpFHNaBeHa2lp27twZfJyVlcW6deuIiIggKSmJ+++/n7y8PD74oH6oyQsvvEBqaiqdOnXC7Xbz9ttvM2/ePGbNmtVchyD9iaJbtaZo5TfYOo9AZ3XgryykbstCOqakUqREYNE1fvsrqf149Z0P2OmyYm5dH4CFprFryfdUuiMw9RmA3+3EnbcFe/ez0ZntaM4qFC1Ajbd+vFFGh3ZM/99jFBQUoNfrDzkcbtOWrTz44vtUONqAaiDkk1+468pxvPLJu1Tpw6kt2I3eEY1BeNGKMknuNZzwxHZ8OusrcovKKN9VibFNf/wVefiqirD1PBex8ls0dw22/hPrLzvr9AifB31IFOgNKIpCxJnXUTHvHdyluYT0PLd+3LGqYEnqgsWg4sxeT8DrJjLMQf5vP6BaHPiKdhEoycYa3xZz51H06BhPF3+AFz96nYpaNw67lVbhBuJiQvC7MxnYpzO3T363Se/mpKQkzuvfkY+Xfo6913g0nxvN46Ju/UxKwu2sXrOOXj27B/MXFhayfsNG/v3Bd5j6TER/lBOqHIwCGPUqbp9cSUk6tZxWQXjVqlWNJt+46667AJg0aRLvvfceBQUF5Ob+PhzC6/Xy97//nby8PKxWK127dmXOnDkHncBDanlqXF6sGcNw7VqJCPhQjBb0UUls27aUNpFtsRyQX6c3UJxXisfcHvO+tMLNv+GL6YjFFILOaEHxuDHEpFG3cTb6yEQ8e7dgUzwkRrUPlqMoCvHx8QetU1FREY+9+BbfLVqDtd/F2AwG4mKjoXU6P6z5hWXfvM9Hn3/Ni/Nao7QZiKLU99jO3TQXg9lKaZWbOkcK1pReoOoQrdvjqy7FtXs15qRO9Ssh2SNA01ANFjRXNSgqemsoBPzUrf0JAl70tlD0IVEITy06gxFTeAzC7yVQthdX1hoK6gSesjxCh56F3upAiADunSvQWeNYsj4TVQSIGHQZcbZQtICf/A2Lyd+6hrMH9WFAvz6HHF709IP3smD8dWT9+DyGuHbojEbCe56Dq7qIh/79Cj9+/BaBQID7n/wPa4sDFPktVDitWBd9Q9sh4//Q+8GgU+WawtIp57QKwsOGDTvoYukN3nvvvUaP7733Xu69996TXCvpVCCE4PuZs/hx8Wp8Aeia1orqor04OhuwdxuFtzgbd856TPEdCHQYTc62DcRgJLZD72AZ3qxV3Hzj5fzjje+AtgBUFudh6tIVT3Upqk7FYDLidTnxVuRjiEklpOtIjJ5KVmzeTXl5+WEXHfD5fEx5+D8U2dNRUvvjVwxUujV8eYUkJ8Tji+/Od7/MYemWbCI79KPM40cE/NTsWIHf42bLrI+xGA2E9h9KrdAAHUII9I5oApWF2PqOx1OYha9oJ8aYNEBDMdvQnJU4d63El7UKc6t2RJw9hdqs9XjzNhHS/Wz0qoKq6ghoASwGuHlwMjc9/hohvS/AEBIBCBR0mNv2J3/jz3jMUeR67RhjQxFCsG3u55DYE/2Aa1ithy2fLOWKndlce/nEg54HvdlC9NCrMEX/PlOWiIhj98qteL1e3vzgE9ZoKVjatUJfWIQtqh2+8gL2rJkPDDnedwh6VcEXkEFYOrW06N7R0l/HC29M48VFe8hvNYSShCH8VBqOphqoXv09FfOnUbdlIUILIAI+9OGtaDN6EgXb1lC9JxN3dRmebQuZ2CeJrl27Mqx9FLXZG+p/8CkKAZ+bEIsRY8CF3mBEr9djCI3FHJlAmN1C+y498Gecw7OvTjtsHWfOmU9lVGeqCrLwuGrxoxJQ9FQ53VRUVqKoOnw+PyXVLqwWM1pVAfk/v46rsoSAAK8xlIrSYvyBAIGaMnxVpQRqygjUlKKYbSh6E6EDJlC7diaegh0E9vUKd+1egyWlO9bOI/B53agBDyFGBb3BRO3amdRmbaBu269o2xeSfMZ4pn/3C8a49hgc0QjNDyj1vbVRcPk01m7YRKmn/qujImcrWlQ6xsgEFJ0ebyCANa0X3yzZ3Gi8bgOr1YriqcEYldQoXfO4CE1qR2FhIcu35mCJqO+3EWKr71BnjIinprLsD71HdDIIS6eg06olLEkHU1tby5yNe7DsN6ezyRGFpeNgNFcN9k71tx8Uo4W6TfPwigDWjPa0HXwe3Tyb6JJs49zrr8dsNnP7g0+xs9SNq7Ka8g3zSQoxU1m5m/hOfRCaoLS8gkJnBRajjrZJcZgbeuLq9OzOrTto/X5dtpy3Z/zMmo1b8LQdQXVpGf6ABm36oigKii6c4opqYsvW8322l227CzFHVFG87Fsc/S7CEB6PQCD8XqqWfEp57nbMcWmoeguKTo/mceIv20ugthy9Iwpb5xFU/fY5ekc0iqKiGC2E9R2P5nWhD60iSuemVqdRUp6Hzh6JJ2s1CT0HEtdxDM49WwhzOFDK/ft6TNeCqqvfj9eFcFUSfeEUNv7yCaFp3ajYsxNT26EACJ8bR4QdgBpTNNnZ2bRv377J+bhy3Fm8un43SkRrFFUHPjehZj2RBj9RUVFo+13sCgmxU1FVg8ev1nfk+gN0qoovcOgraZLUHGQQlk57ubm51JmjCTkg3RiThmfP5n2P6r/ArR2HULPya2AYiqLQp1cPLp8wHoBr/u9BiloPQR9jIZr64UXmzJmc2c7Mr5mL8DiSCHGVUpk5H19oEms++Q+K0YzJoKPjWZcSqhNNZtzatGUbj344G3PHEYTpk9m+din6pB4YND+1q77DlNYTRdHhyVmFvnYPoRPvIzlyN9lbl6BYHBjCW9U3QjUNRWcgpPc4yn76H0q/CzG17oi/shDntl+JOmMCxvIdmO1msjMXEzF6CjpLaH0HLZ+HmnU/Y8sYgiEmjZ0rF2CMjMfRaxyKxYGCRtHuFRjMm0nyZvPAHZNZ9Pf/ULX6B2zdz4aAD4SGrySbVilt0ZusRCe1Zc/quThCw6msKkZvj8CiBrBZ6++0m3xVREdHH/T1uulvV7LgjoepsCUREBASFUmgupgB6dFYrVY6JUWzsLYSoz0MBYWk1q0o2puNWRy6B/XR0KtK/Y8fSTqFyMvR0mkvLi4Oi6eiSXqgugTFZEMg0HwuEFp9gNQZKCwuwViwjrGjzgTqF/nYQxR60+/dtVS9gYrwjgzo2YnpU2/iwVFJ9A33UFleQUWNC/vw67EPvga123iWf/kG6zds4NxbpnL1XVNZtnIVAO989i3GdoMACG3dBp2zDBHw4anIB0XBlbkU94aZhIVHYEzuiqKqhCWkk9SuI4rRgtA00Pz1M10pKjpbOIrBDKqKc9McVFcl8f3H0johEV1VHiXz3sWa3hdPzkZq1/2Mc8cKFEVFHx6PVleBZ+9WPM4aTG36Y7SFIOrKMPhdWJK7UrbqBywGlRse/DeurPWoJhvOTQtwZi6lZvX3eLcvISqlA7VFubTuNpiOdjeDWwl0W2cSZVZIiI8DFLw15XSO0gfvjwshqKmpwe+vH6NrtVp57ZG76OHdTEzJakJzFjGutYcH7rgZgP+76RpalyzHmbsRb20lrtxNdNN2MOeLd//Au0Sg1yl4ZRCWTjGyJSyd9iIiIujZ2sqKyiLMYfVzDge8blybZhM66jYUBCg6As4qEKC5a8ie9zEXXDCQ7Nw9TP/2F3Zn51JcayI5pUdwog0AvT2SnLxCRgwbisFgZFG+wGuNwtH7PAAEAtUaQuigq8hdNI3wvumocSk8/M4PvBEVRa1XoO4bCqUoCt3Ov4llHz2Htce5WNoPQKfqUFWFigXvktJj8L69CowRiQjvPDSvC9VkrZ9aEvAU7URz1+IryUHR6XEVZ2M1G4lITsJt1OFP6URZ0U5snUagWkPx15RSveo7DDFpiLoKbIFqnAYDqruS0BA7kekp6HQ6qqtryDKEskzthD+xC5rThi21J3oC6FQVLKFUbVrAjs3r8NdU4KstIzo8lIiICP5z9/X8sHA5e7b40KlwRmoM9999JwCz5i3i3W/mUKGZMQsPgzom8Pcp1xEf34r/PXbfQV9Pi8XCO88/yopVq9mwdQc9RvWnV8/uf3gJQoNOxSOHKEmnGBmEpRbh0Xtv58W33ue3rRvxa5AWbWOHTU/5lnnYMs5EZ3UQcNVQueRjFFVHSL9xvDLja77cWEpcj5FoGT2pXbeczPkzaH/mxOAXvlaUyYgrLwbgq9m/4tPbUO2RqKoOIQC1fgiRzmJHDY0ld/1SOseloG83hDc/+ZqESDt73U4Cfh87F8zA6awDvRFf0S4ska3woQOfk9aDLqRq1ddEtetJXkExtX4FU2wbajfOwdphMKrBiL+6hOplXxA68FJMcekoegMiEKB03UyMmpsoi5HSahfWTmeimKyAQGePxNZlJBXz3sJosRPbdQA1hYtAUahzexFlFcRGR1JaUY1fZwFLGL68TIyxbdBZw8DnxGyA6roqzG36ULv2R8xt+mKLSUUNOClJas2L38zlzfuvJTk5iZqaGt7/7CseeOYlwsw65u+oxNplFEZAA2aX7kX/5vv8381/O+zrqSgK/fr0pl+f3ofNdyyMOhW3X07WIZ1aZBCWWgSdTsf/3Xxto7Qte8tZl7mbyl8/RLXY8ddWYgiLw9FrLJoI4LHHURvdBaEo6HU6YlI6UJDppHLPdsIS2+Hcu5UhSWaSk+uH0gghsIbHIFzV+6Zb/H1RBs3vRVV0aNYIPLWVmELCqK7wcc/Nk/hp0u1sL6zEkjECc0wqBlcN+D1Urv6J8D7j0DuiqPG6MKNRtuIHqsI7oTPb8JfvQfN4cGYurr8nbAvD2KothrA4/DVlKDo9it6IqW0/ds55Cy3GTo3HjKquQigKmteFrf1gFIMBU0RrYoZdRdaP/yO040AqtyzB1uUsPF4VV+5eqtf8jC29D4qiorOF4S7YhTEmFSEEHl8Aoy0Ud1E2CmBt1Qa9To/m03A6nVjaD+GtT75m8lUTmfzoi3hSBmEKS2f3to3U5OwlI70Wn7OW2tI87FGt+XXjbv7vz3xz1L94mAyqnDFLOuXIICy1WHaznpCYBNxFRSihrUDRYwiPQ1F1eIuyMMSk4UVPTU0dYaEOYqIisRj7IFZ8Qjt7OWPP7cfwIYOD5Y0Z3IdNs3dj1mk4d63Emt6v/gktQO36X7C27Ye7YDs5RZWQV4TDn4fZbMYWFomZaMyt0usvK6sqhERjjK/vWGWIa4Pf60bTm+kWo2Nx4XaE0BCVhQhbJDpLCKo5BE/hThQEIuBHNZpRraH1QVMITEldyCnJIvyM8ejD4xFaAM3vpXrl1zh6nIPBZMZfsA1Lmz7oo9KwhSdSu3EuIKgsz6VDfDhV4bHU1VUT0Fvwlefjr6uCgBeDQYfQ/CgFm7CFx2DQ75sGVFHRNIHOYKKiwsNzb36IljEG077L73pHNKauY1gz4xUsaT3RRyRSuG0T+vyNOJ1OPv3qe1Zs2Y1eVbjgrIGMGDqYk0dg1uuolQs4SKcYGYSlFktxVeGN7kJEcn/ctVUo6X3x5GfiylqDJSoBV8EuhBD1CxjsY/C7uOaKCVxx8QVNyhs9Yji/rd1MXWISm1bOwrlzBTpbOJqrBnNqT1RbBAGfB03V4d21nIKOXXjmhZeo1EVgjo3EZKgPXprBiN/rRB+djDt7LQZHNN5tCwhv25+Zcz6hxhCB3mBEM9vRWUIxJXSidsNsQnqfT/XyL9FZQ+tnAFPrP77+qkII+LB2HIrZZMTvc4GqR9HpMaf0pHr9bPQBN1reRnRJfVFMVoxmG6aI+lm93MVZOMqXUFW6m4AjFdUSgr3nOVTMexdjWBwEajAqATqOuY7tS2YGz4fqd2O3h+OtraRNqyh+y9yLGv37V4rZaKDa7UQLicXadkD9+Y1sjQiPYfSl12LqeSGWVoMRQvDk9xvZtiuHW6698sS/EfaxGnUUVrtPWvmSdDxk72ipxXLpQ7AbwF6+hfDKzVCRizkhA626GEtUAlpdBb6qYhSlfjYroWmY967kwvPODpZRV1fHst+WM/PnX7jwmsl8/eMsdm5YQWjbXuiNFvQmK7b2/QlUF1P2yyt4irMo/Pl1akrz2LVhJUvXbsVss6NVFSAQeH0+NMWA0AK4czdSs2MlhXPexe+qZeeKeWh9Lsc28AoCcRn43U5cu1fh2r0a1WjBW7iDQHUJ1au/Q/PW9/b2Vxbi3L4EQ3hrdLZw3F4vwlWFv64SzetC0elBCEIGXoHbGotz66/oTVYEAr/fj9fnw1O6l6jYeJJcu/BumUv1kk+onPcOBquDsIhIOnVszyO3XoXIWUVMUjo162cRqC0nKsyO31WLLedXbrhyIqYDlkyOighH+Dz1Y4GhfrIUVzWRcQnkuMxYIut/BCiKgjW5KzNX78LpdJ6kd4PAZtJTJdcTlk4xsiUstVjZO7ZSpe1GRKahhqYRKN6Fd+8W/HVVuPZsQqkuoGr+KjZHtgbA4q1kxuvPYrHUD1N6/9Mv+XzRBvL8IWSvWYixVXs0UyLmoRPRWR2Ean5qN8zCaDITMNqwpvcl4KzEljEMgyMKf2URm9Z+S1fzbox+A67yIhRbeP2QKWcVvvI8osb+H4qqUrn0c2zdz0QNjUGgIJwVWFJ7YohORfhc1Kz5AaHoCDvzOgI1ZVQu+QRjdAo6Wzi2jkPwVRbi2vEbof0uQqgqiqsWRW/CV5KNtU0v/LUV6GLSCGyeh7MsH9UehQAC1cV4q4pZXV7K4D7dyBYenPaumGLbgAKuskJWLPkIi07QLdZGQpyDquREiit343fpadMqgpue/ScOh4ORfTKYvmkn5rh0oH6JRl1xJjHJ6RgCtehVHVGtYygrr19e8kC1lliysrLo1KnTiX8zCLCb9FQ6ZRCWTi0yCEstVtmenZhH/x2dtX5FJFNka1z5O/AsfpeAxYKzupzQETdgDY9FZzDhqyxg8j+fZt2cr9iWuZ0Pl+xCxHRizy+fEtJvInXbl2DvNhrhdaOoegQQ0v0catf/TMDrQdEbCek2BtVsBUAfGouh1/lEK5kYjT6Wrv2RADr8dRWgKOgdMdSs/WlfqxZUkxWd5sNVuBtDZCKmxM74q4tR9aGEDZ5E3ea54PdijE7C0Xsc7ux1mBM7o1gduFZ+hz4iHueO5aCA5nWjGMxoPg+m2DQQgoCnDqGoOHetQhMCX2kuAXctCoKauETycrOpqrYRkl4/A5bH60V1RGFMH0COx8yefB0ZpZl88PIzjc5zXV0dDz37Ilv3llOxazs+dRGxKe2wCyf9w53kOtIwW/WYQ6MAUD11GNWmM1eZPBXExsaepHeDIMSsp9bjxxfQMOjkRUDp1CCDsNRiGR2R6IQPze9D1enR/F4sIaFU2+IwRafiSOiOMSIBr7sWIwJ9aCz5IpxLbryLwqJ8ctw2tNAadK27UrNpLoGa8mDwFWLfeFNVh1ANaN4KVJ0exbhvsg8BiABmqw2P18rLD13DJQ++Sm5WFhXOKsKHXI0hIgEQCC1A1a8foXlcBPRGPCXZ2LuNBqGBEKAqKDodOnsEWsCLXtVjjEpCtTjqh1zpTWieWkSFih+BteNQdAr4CrajGi2gKICCryQbc3QKiubFU5iFao/C0fdC9I4oApWFLF3+OZGdB+OvKaN83Wy8lUX1c0cLQX6bXljj0pi3O5d7pz7Ns1Prx/gKIZjyzycpajUIQ9sQWrUdibuiiNTqddxyzWU8/tqHFGZl4g5sh9pSklNT6erwUxJjxuf3oe7r5OWtLqVLlI6oqKiT9G4QhJjr91VR5yXGYT5Cfkn6c8ggLLVYPtVMoslLnb8MjwesOo0qRYcuug2uqlKsHTuDAqrZjreuvH7Jv4ROZFvN5NZVokvtjd4egVlvwpzandqNc6jbugh7x8EEXDX1QVLV4dm7BaH50fl9+GvL0NvC0Ot16HR6TEKHKQAJCQm0CjGyRwFDRGv0oTGAAEVF0avYu43GufM3HN1Go+gMCL8P4feCFtg3HtgLQkPVm4L3efF50NvCMCVkoAuPx7VzJY7e59Wvcaw3o7dH4Nq+DG9RFp7CHXgLd6KPiEcrzUENiST0jItRDRbQAhiiElEHXo5v80/UZK5El9SD8F7jCLhr8ZVk468swBSdjD68FfPytrDg18UMGzyI5StXsceQiM0agtACgII5PJZdpQ7+/tTLmPpeSocOKi6XC2ddHfbds3nj9ZcoKSnhiZffJbvMhUGn0Dc1hn/ceudJfT84zPVfd2UyCEunEBmEpRZLr3nJqgigN1tRFJVabwBnaR6GyHiMtgg8RVlYkuoDsRbwo3dE49+9itrQDPzoMNgjUAyW+mCr6LB3HkHZzBexdhiEqjdC+W6qNi9BbzKjqDp0kQm4d69G+NyEdRmOQa8SplQz5oxu6HQ6BrZvxYrcGkyKgYCrGp01FEVvAgSqxYE3fzu1CFSjjeoVX2HvMhJFZyDgcdWv5lRdgs5srw/QCOoyl6Az2TAnd8OVtQ5jXBtAQTU70Dy1KDoDxqTOlC94j/ChV2PvNBzh9+LKXILPVVsfgNl3WVgI9LZw3G4XWngStrb9QFFRVR2W1J7UbVmIp7IYg9lKRPvefDNnKcMGD2LL9l349Va2zPkMn9BRPxRIwRqThKqPovW+2ccsFgsWi4Xa2k5s2LCR7t278eJj9/95bwYhcFjqW8Jltd4/b7+SdAQyCEstlj00jN3LvsTStj/GiATceVtw56wntP8FWBM7UrNwOoaIePT2CFBUvCW54HURsMcS8PtQjdb6y87qvpYnCjpLKOU/vYhqNGC32bF3OwtP4S7sXUYg/D4CteVoPg+V899hYP9+mP01fPyzhSfe/YbKojyUsFbg11ASOiECAYSvuv5+rbMSW8ZQfNmrsVnNqPY4nDuWo49MIFBVjHvPZszx7XBumouvpgzN78Wc0gN/WQ7CVYWiN4LPDVoAFAXh99TXWQtgbdsfQ2QSWsBPwFmFMSIe7+61iIAfEKiKik4RKARw1dVh7tQJFJWGAK0oCqbEDGqz19G6yxkYjSa0fet6d+vUgV1vPknIoKsw6uqDXMBTR+HCaaQPGU9ZeQVurxe71YLDEYJmsFJVXdMM7wZBmLW+fqW1TZdYlKTmInsnSC3WnrwC7D3OwRAeh7+6GEtKdyypPalc9iUgCO9zHu7MXymf9zaVC6bhK95FRN/zUPVGtLpyhH9fT1pFQVFVvEU7Ucw2YoZegcEaRtKQiXhzN2BtN7A+m96AqjeSGGYgoVU0oaKaZdnVrMippjhgxRuZjssrQPPjzFyMajSjs4aCpuHeuQJLSnc0vx8tqg22Lmdh7342qsGCObEzpuhEbAkdCItphTUiFktaH3ylufirStACGrrQGDyFuwi4agi4qutn81L11Kz+EUNsGwLOaoTPjc4eibBF4KsswFOwHVXV1V+SB+p2r8MUEkqgtgxFAUWp/3oQmoZWW4HJaqd1q1hc+dsZPagXACVl5djTe7N/NytFp8feuh2Zi3+isLKOOmGiqMZLzp58bJU76dO755/3JmggwKTXYTHoKK6RY4WlU4dsCUvNLj8/n3c/+4bKWieDenTivDGj0Ol0R97wCAIGO+aEjPr7taGxqCYbttAYnDt+o+Tnl/HU1eKIaUXbwWPYs2YhPmsoAb+GatBh7ziE8nlvE9J9DDpHFN78bQSqS1FUPYbwWITfg0foMOlV9Hp13/1QgUEHYWaFQr+eb5duJuKsKdiMZhRFRfPUUbXqO8yxbahb+wueoix05hBQIPqMi/CU5+GtLUdEt8XrroOAH11IBIqqw5TSk/K1P6GzhhHefyJ+dy2GyNa4cjbgylmHOakrwuuidt1MjK3aoRpMuPMz0dw1eHI2oO84BJ09HM3rQmcJxRyTiti1mKrdK1EdMfiLdxMaEYGx1zjy53+EKbErOoMJ1WzHX12Cc9tiUs44B/eO3xjY2sg5Z9Wv3Zy9t4Dk9I5UeTSc7hr8AT9KwE+dIQw/emp3rcGU1Bm9qlCXvYb+aSasVusffm2PXf3PhAibkaJq2RKWTh0yCEvNaslvK3h02g+o/8/eeYfHVV17+z19+ox6lyxbtiVZLnJvGNuY3kkhCQRuCKR9pHHTSIfkhhtyk5CEJKSTRighoTeDMWDce7csy+q9TC9nTvn+OMLEAQKEajLv88zz2HvOPmfP7HNmae291m9NXooc8rBj41Eefvpb/OyGr712Q6y4iO9ejaUnkVw+zGTEMcbuAGpNM4HqJtLdB2jbv4tsKo3Vewhj8Agefx76cDeugkoSex5FUD3IwVKsbAZf/WKMyBAuRcKIDlFR30x39wG8NdMwLDANg9ZRg9jYMJ6mVQiKBoLo1BnWPE5RhrYtICmopZPB1EGUGFjzexRVQRBEMj0HcNXMdKQiZQ0sC32gDVFxIygaibataJXTkDwhfNOWE9l4N5Fn/4JSUIVn2gqM0R6QVXzTV2FWTyd5eCPprj2YiTDuCc0YY924C8opbTiPaErHskwSskRCz2KO9OGpbGT00Z+iFFQiAEJylMkFLq6coXLmKe89pqUNcMqSBdx1830UTZpHV28fpqiS0U308ADBBRchZpMkO3aQHDzKtBUXIAh9r21O/13s541wXyT11owhR44X4YRajn766ac599xzKS8vRxAE7rnnnpfts3btWmbPno2madTV1XHrrbe+4ePM8cqwbZub/3I/atNpyJrjHXlKamlVJ3H/w4+95vNnhztQSyYRmHs+3qZTCMw9f9y7LED05hPe8ShySR2ZTAZ10gJck+Zjq14KS8uYfup7cQfymHTq5eTXNmEnx5BVjdSex3CPtVLfMI3J6RZ8+SUo8X7CR3aiJ+MY2SxjB7dgZrPI3hBgOzrQgG2aCC4/pmkhB8uQffkE5p6Pf9YZhJZ/CEsLopY3kurc4wSK+Yuc4C3FhTHWh1I0geD8i7CzGcx0HLCxMkmUwioQZeTCKieau7IROVAEloFSVIscKMIzeSHeqUsIr/8LogBWNsNQTweSJ4jsy0eSFdwTZ5OJDJE/+wwKmk9DVjXIxJlS7OG+3/2Ej11x2XEGGMAwTaTePbRsfZoUKrYgkO4+gCgrCC4/gr+IvFmnk7/kfUT6OlDl11aO8LVS4FXpGs0Z4RxvH04oTziRSDBz5kyuuOIKLrroopc9/ujRo5x99tl87GMf489//jNPPPEEV155JWVlZZx++ulvwohz/Cui0Sijlgf1n9o9JbWs276RC8458zWdX/YXIvnyng9Wsky0akcAQy2tQyqoJrbrUbz1S9GH2vGU1SG7ffQffob89ADzQmky4T24SysQ9ATZwaNUzl5CoTXGpafOJZ6M84e7/0aydwDJX4ia6MOVV4I6YwXp8BCpjl2I3nwE1QUIYFukO3cRaD6TdOcePHXzMGLDiIoLUdbwzTqD0Ud/iugNkTz4DKKkYgsgSCqBhe8msedxsrER1MpGxp68FSXkePVmbBg0N+mOXXhq5wA2tp5GDhaT7jmI6CtAkGQkbwjZV0Cycz+Sv4B4XxuRls0E511AJjqCt1JBCpWRHmhDK5mIGe6jqLqa0+qDlJeXHfteR0ZG+O5PfskjT20kXVRPWdN5JLc+SWLfs3gDeYjuArz1S7BMA0tw/tiyTQMz3Mt7P3L5a5rTfx/HEy7ya+zuDr9FY8iR44WcUEb4zDPP5MwzX/kP8y233EJtbS3f//73AWhoaGDdunX88Ic/zBnhtwFutxvFfGGQjJFJEfS5X/P5JZcHUfUgJoYQrSym5ELw5CPKKoIgIMgKgihjpaKImgczFXWKHkxewnDHU6w64yQ+deUH2b9/P6HQKgRBIBwO09jYyJWf+RK7s8VIU8+F5JNojcvxqlBVVsq+Q4dRSyYR2/04+sAR9OFObMvATscx0wnkvDKE7v1YmSSSN8+JbAZk1YVaOhl9qJ3gwvdgGzpWMoLkywdRRFBdiJqX5N415C19P3Ko1IncFgRi2+7DymaJ730CT+PJIElkx3rJ9Ox38prjY6S79qJWNOKpm4coK1hZncjGuxh57BZKT70SXU8jpKMkDz1FKliGmldK7/6tHLQr2LVnLzOnN3Hg4EHOvvLzpEMTybpqyLa3kBTc+CcvRClvJLb9fsREFFE6iWxizKm0lBJJbP07n3/fSpYtWfya5/XfYjxyrMivMZrMksgYeLUT6ucvxzuUd/RduGHDBlatWnVc2+mnn85nPvOZt2ZAOY5DVVVm1eSxJTqMGnheKclsXccVX/vIaz6/Ge7Dpw9S4gMRG4MMPaNHsW0bURSwkLBti9SRLfinn4KNgD7UgWllEcsaeWLYR8Ff7+Wqy95/7JwHW1pZ/t6raLOLsa1hMjs3IEgyblmjZ9vDDIhgChJWNoOgeYjvXUNg/kWIqgtBVrHSccYe/xVSoAjLtpD/sSaxnkTyFyInwuiDRx1VLG8IMx1Dcgew0nFsI4ugeRFdPgTFNb7XaeOdupR0z0H0gVbG1vwaUfEguLz4pi1HVD0obg+JA6P4mk5xcpwBQVHxzz2X0Yd+TOTwZmzTIHl4AyWnfxzJl082FcM/aT4bDq/n4z/6K4sqHmDNxh0oSz9M4sAGLCOBu/4kkgNtjG5/BM+URaizzkU2dQYe/SWuCc1oeaWYg4eZ2LyU3Ud6nL1x4a1bki72OyIdXWNJ6ksDb9k4cuR4jhNqT/jV0t/f/wIt2pKSEqLRKKnUi+8LZTIZotHoca8cbxxf/+wnmC93YB98nEzLOnytj/HVy86koqLiNZ97Ij3k77/T0WYGzPgo1S1/ptgaRMqmMEc6yXbvIW/mKWS695Nq24YcKiOr67Rvf4ojW5/irkfWYo8H9RiGwRe+9wv6Kk/GNWke3qYV5K38MJaeZnj1L3BNWYh75pl4Z5yGZ9oKBFnBVTMDyRNACjhL40phNe4pizDioyR2PoJtZnH2dhPEdzyMZ8oCBM1N8uA69NFe9N4WjOgQiYPrkPMrMSO9IApOChKMr3KbCJ4gZmIUS0+hFk/CVTsLKz5K6tAG55j4CLahI2iecRlLJ/9XcgcQNI9jQItqUEJlmGM9SEYSd6gY1eXB07CMsWiCDbE8BkwX2dgolm3hn3UGSvFEZH8+gQXvwj1xLkqoDLz5hE6+HHukg5pCLzNPey8lDfPoUyrYs3ffa57Xf8XLPb9Ffg2A7ty+cI63Ce9oT/jf4YYbbuC66657q4fxH4Oqqnzri58mk8mQSqUIBoOvm6dUH8xQwiEefagTW/UiZ8JM9NsYlkjymd9THVJZtHA6m7bdRdZdhqf+JDK9B7H1FP6VV2HoKQ4Pt/Ll7/yQ73z5s6zbsJE+rQobzRHysCwEUcbXtJJk6yawLIxUzPFObQvXpAXEtz+I5A7gmjQXLAsEEaWgElc6SmzXY2DbiN4ggijjmbYSMzZKZqgdSfOSbtuCkl9Fpn0n2XAvkieEWjQRKx12PqBtYVsmViZJpmc/xlg/VjqBpadIt23DN/NUrNgI0XV/IpRfhBUbOlZWEGywBYzYKLaZJXXgKYRACb6552FkUgxte5TC+ecjuf2IsophmiiF1Rj6UyTad+JtXIFtWdiZBEZ0GN/EediZOJIAgjeIkQjjKa4mWD7pmD607c6jp2+AGdObXpf5fTFe7vkNuRUkUaAvV1c4x9uEd7QnXFpaysDAwHFtAwMDBAKBY+Xq/plrr72WSCRy7NXV1fVmDPU/Hk3TCIVCr+tS5YERkQwqf75Q5W8XWPziHDeGpGBMWkbZ3FNpi4o8urWFga52RHcQGwEjMoS36RQQFQRZw1fVwOYRhZ279hCLJ0gZOMvAglNU4bnoZ8lXgOwvdJaJZRVB0RzPsrgW0RMgvv1BbATARu8/QnasH3f1dCR/AVYmCZKM3r2PyLO34ZnQTP7yDxGYdyGu6iZ8TSsJzj0fUdGQAwVIgWLSR3dgRAYxkxHM6BBGZIDAwnfjnjibdNdeggvfg+orwFtai7du/jGVqsTBZzBTMSxDx0iMEd14F2peGUrVDDy1s5E0L0rJRLyzz2V09+PYtk1muBN/QSnhaJRsZIhsKoGNwHMzJQCCZSIAiiKhyOOG3jL/weiDNtbG/DmzXrf5fTFe7vkVRYE8j8JAJGeEc7w9eEd7wosWLeKhhx46rm316tUsWrToJftomoamaW/00HK8gei6zt33P4zPLXP1Yj+iKGJZJiG/m68vV7jiscfxlF6MKam4556PV/NipWLEdzyEVl6PIEpOAXrTIJjvR/EUcd/jT/HZj1xO9Ht/gJnnj8s6OiTbtoGRcZatTQOMNJInRGaoHdETQC2agK2nyXTtRXT7SXfuwj/jdCdASxSx0glSnXsIb7yTgjM/TaZzL1KgCABBdSP37mRC/5NYiW569x5kOAlZNUCqfTtKYQ1KfiXeaSsQVQ/umpnoA0cxUlFUt490ZIRsOoV3/ruI73iIdNdeMt37ERQXdnwYskkkzyQkEexsyglQS4YRXX5sWyTW04I6eIBE3ULiLTspmdjIyFiYdOceXFVNYOq4qqaRatuCp6oRUZSxsZGySezE0Ph3aZHq3M3ZTWUUFBS8oXP/Sp7foFthJJET7Mjx9uCEMsLxeJzW1tZj/z969Cg7d+4kPz+f6upqrr32Wnp6evjDH/4AwMc+9jFuvvlmvvCFL3DFFVewZs0a7rzzTh588MG36iPkeINJJBJc9cVvM5A/g5qgMC6UAYz7bX63TLmapO3QHgIL3o2RSTrFF1x+pGkrie9ZjaduLggC2aGjJA7vIaqnecanct4pJ5FJJdF3PIRv1hmAQGzrfWAZiC4/qb2rKaqtR3cVYEZ6EI5uxF9/MtlEGDmvnMiGO1GKapzCCG7/MREROVCEb9oKUoc3Ibn94x62gzB4iHel/sZhyc3w3EupLanB3T9I1/anEYIVBBdc5Hy25/Z5JQXRE8DW05BXRmZwI94ZpxLdeDeehpNQA0VY8WGMVBzN6yOy5V5MC/ToKEbXAQB8UxYimhmM0W5S8SGorCe6+2kkSWFgtAMlr5zUgafJjnRSUNeMYWfJdO/BSI2QLJmCNdbNnPwsH/38ZazesBFRFLjovSezeMH8N/dmeAm8qkw0ZbzVw8iRAzjBjPDWrVtZsWLFsf9fc801AFx++eXceuut9PX10dnZeez92tpaHnzwQT772c/yox/9iMrKSn7961/n0pPewdzy+9sYqViCxxdiNOnU/LXhmGKSaZhEsjK64EKV5PHAKGeZWJAVzGQEIx7Gd2Q1/+XexPmzNbKJMA92uHj/B96PULMCb2kdI4/+DEtP4ZmyGHfJRKI7HmKOuYuyw0/zTLSUYHU9E+YtJWFY9AsBzHQCtXQSnroFJPY/hSArTn3gZAQ0p8qToLpIHd1OdqSbdMdutOrpVLbdg+TNMFp/GW5fANuyKCnMJ7PoInqf/StmfAzRE8TOJJzPamaxUzEyA61oJROx0gliW+8F20L2F2CkokjuIFqwhMyRzbimnoSrZBKGYeCqaiI73IHRfxhPVSMlNZOIjg7j9QVw18wkcWQr2uSFiIpKfiCfzHA3yX2ryRMS+INe3FKMMquFmQsmMJqCB9dt4/Qlczjn9FVvaUT0P+NSJaLp7Fs9jBw5gBPMCC9fvvxYpOqL8WJqWMuXL2fHjh1v4KhyvJ040DmMWtEAwK4xjQ2HR1lYl4dhg2To/GFzmHDt+9DDo8jpBKLmQ1Q0ECXHgBk6kU13cYF/KxdNdyHoGVxujXdNTNOd8PC30T5IRNHKp6APtiMHCtEHjuCbtoLTEz/m9AY/5tYB+irOQJQkfKKNlEoSO7jOCc4aFw2xjSxmMgqmgZlOYmXi2HoKUfMRXHQxmd4DjDx0EzNDwxyxStACeU5gl22BKCKLNrI7SGTjnQQWvAvZXwi2Tab3EFKolGTLRvTeQ2CaqGWTMZODGGN9jsGWVCzLIhMZxlPWgC2r2Ok4lmWgFFQSPbQOLTlIqKyGbH4tFZOm0jsax0jGcIWKsfUMpp5GH+lEKp0CE5qoqa4kOdTFwLZ7eXoshLdqGgA3PdXClt0/4fovfOqtvC2OwyWLxDM5TzjH24MTygjnyPFyuGSO5aKOSQV8ZZuNtyWA5AmgR4aIxkXsvBasVAytdhSloBrbthAsi3T7LtTCGrzxds6bLOD2+hFEiVR0FNET5JyJae7fHEebez6Jlg2Imhd9oI3A/Iuw0jGGUgUIgsGnp8X4+d5f065NRrdlIn0RLF8JxmgPYslEPFMXE173F+T8ciSXFzMRJtN7kILT/h+iy4ulp9HK65HzK+jZ8QsmezJgO9WJnEIRoJs2VmKUzNggif1PIWoesCzkvHL8M05F72vBM2URWulksC0syyR9eBNq+VQ0d8DZizayzjK2IDlBX0YaLB1fMJ/G095Px/r7cAcq8fl8+OIJRp9TvBDA1FOYkUECCy4E3Qn6UvJK6cufQalu4hv3fD3lU9lweD2dnZ1UV1e/JffEP6PKEulcTeEcbxNyRjjHO4r3nrmc6+/egrt2Noo7gNR8Fon4CGYijFI/DyUVJXlkK5InQHz/04iqGzlUjD5wBFHzoRZWYw7uYsx0UStKWFkdZBVBEBmKW9jBckd7WlER3UEsQz+Wb7suXsVFZhden5fPTB8lq7Vy4+ODHJnwEbwTZpId7SG5/2nkohoEWcHXtBJsC1HzEt/1KNmRLrSKemR/AXY2heQup90zjeLoNpLtO/FOnI2NwFDCJplMIRdOQKueiZmO45tx2rGAMisVQ3J50cqnYiUipNp3jO8ZC8R3Pow9bYWz7B7uH18B0BEB2e0jJBuIUoSq/md4/4UL+NMTzipSeWkxI5qCnY4hGDr5ioFZWIllGvjHlaeSyRRKRSPhI89QVDfz2JzYhZN4dsuOt40R1mSRpJ7zhHO8PcgZ4RzvKJYtWcSH+gb565pHsG2TdOcuvFOXINUtINvfSqavBSsTRyubjCCKeKetxErFcNfNJ7FvLdnhdoIrPs4ftn6HhsKYE2lrWRimwX09eeAtwNbTWKk4ViaKgEhk091460+ia/L7+Mzm3zPP04c/k2FTbz+Hp/4XrqppYBqoBVVILj9ja39H8KRLkX35WHpq3CCvILHncbTiCYgeP5YlO4UfND97Gj6DtvNOjM5OssEq0mkdQVbRQsUolY1kYyOkWrfgqp6GbeiAgKC6seJh0t17x+sSuzDjY4SHjhLf8wRafhlayUTCT/0e75RFBOuayfQcpELu5o93/Bqv1wtAKC+Pn979KKniBqrrZ9Kx7s8Uzz6VQKiS/oPbUI0ERaWOrrSqKFjRXjze4HFzYsVHqK1qfrNvhZfEpYgkdfOtHkaOHEDOCOd4B/Ke887kqU3bAQguePcxbWatahpSoIBMzwFEUcJTvxRRVpHyygAbz5RFxDb9DQJFdNR9gM898gdOn6QTz2TZzgSyKz8Oa+4ltuMhx/NUVMz4KKLLR2z7Q3inn0LvzKu4be8TSMFSMrF9BCtmOfuwpuEERwWLET1BJJcXsMEysTNZR45SVrFFEVPXkRSNVNc+JHcA0VuAufyz2IZOYt2fCSy+GDsxhjHU7sR82wLpzl3IoRIEl5d023YnLejodvzzLzwWFCV5AgQWvJvE9vsonH8ugqxhZReT2fkgoh2lKjvAnXf9Fll+/mfhrFNXcvLiBax+8mlkuZAV37idzdu2s/tgK+UTPfQHNcTxdC2XpmIfeIzilR841t/U05Sm2lkw76o3Y+pfET5NJpLKBWbleHuQM8I53nH89s93ssOqccoAjqs1PYfsL0JU3ceqCtl6CjORAARsU0cOFjO87g5kXx7R+qtIBiTKjD5UzU90rAdZdWHbEuK4oRIVDTuTRC2eQHjdbSh5pWiVTSj5FVjxYWcP17adpWLDILbjUQRBBEEi03OIdPc+BNURjtF7WxA0D5InDyM6iJ2OYVo2xs6HkX0FmIkxfNNXIcoa0ZYN+KatJHFkG4Kk4JmyxEkpOrwRVDfexhWk23dwLCjZttCHOtC794EoE921GtFfhJCJUVA+gXjXfvKnTOL7P/sN/++KS1BVFVEUkWUZr9d7XEWrFctOYsWyk9B1nRt+/Eu2HdhG1hIo90tc94Mv85f7HuPQ/m1YNkwp8fKN6z//toqODrgVMoZFLJ3F71JevkOOHG8gOSOc4x3Hxv1HiIkN2EYWKxlFdPsdcQ3LxEhGsA0dMxVz6vvKGpLiwrZMjHiGdPd+3JPmoVVMxYwN09XRxqAmYfdtRk8/hRUPoy2+HDMZdZSxJNWRnvSEUEvrcJVPAVHGNnQkd8DxlBUN0R0gsX8t7skL0apixHc+hOR1NJexHY9YL5lIpr8VV345mZ4hskPtuGrnoBTWkO5rQfYESR7ZCpaBp34pZnwEJb8cpXgStp6AUDGu8qkMP3YLoi/kRGAnwgii5EhZtu8gMOdcrOQYXq8PY7ANdXA7QvFSpl7wKSxZ5sHeNn579iXUNs5CEqC+2Ms3//vj+P3+F3zPqqryjc9djW3bWJaFNJ7fPKd51rEshreT8X2OfK+zMtIXSeeMcI63nHe0bGWO/0zGRkYwBAUjPoKZjmGl41jJKJaeRO9rwcwkyPQdJr7zEWycAghmYozE7tUoFVPxNixDyytF9uYx0nuUiLuKzEmfINP8HhK+KuKHtyD5C50yhJoH0RMk03sIc7QHIzyAPtBG8tA6tOrppA5vIr73SdJt28iO9AA2oubFtm1ctbOd8oaJUaxM3FGgsi2EvEo89cuRimrxTT8VtbiW4Jzz8NQvw1O/bPwaR0ge2YpcUOUoXbmDSL5CpGAp7gmziDx7O2KgiOzgUQTFRaZrP95pK7D0JBXFBUyuqaB+7lKSriIqZy1DEAQ6u7rZt/5x0s0foN01GWvyCvZ5ZnLNt37wL79vQRCOGeB/bHs7GmB4vpJS50jyLR5Jjhw5TzjHO5DZdZVs2rkb0RMitvU+5FApSl4F+kArlmUgB4oJLHwP6fZdDD/wfZRQKYgSmZ4DFJ79GSTRJrprNZmhLkLLr0CQFCw9g1Y6GXlZEcOP3Ezi4Dq0mhkICOhDR8mOduGfeSZmKopWNAFBdRPf9Si2oeOqbiLdtRfLyCBqXozoEGZijPTRbQAoJRORfYXOvrCkguIm3fUMnoaTie1/Cv/M0zATYWRfPpKhY5tZtLKp4wZWA9Nw9r0tA9u2QFJwVc/ATMVJHFpHsmUDtmXiqpkOhoEyvkRvGAamrwQjFaNnLEmk5yiuyQsR3T4yqSidvf3UVlfQlvbS0dFBTU3NWzmtr41/+Hsg5FHQZJH2kcRbN54cOcbJGeEc7ziGk1mMtk2I8QH8tTOwRQM73odHk7GyJhE9QWrfk4j+fIJLLyXdugnMLKo3QLpzH7HhDtSKqcihLJI7ANjYooSViiEoLmRvCMmXT+rQegAyA20oBY6RV4pq0PsPY8ZGycZGwTRIHt44biQtMv1t6H0HCS66GNmXj22axHc/AuUC2BZmMkx041/JjvU4S9luP6OP3YJSVIPkDZE4+CxYFoLiwl23kEzHblwTZjlCHghO7q9t4qpuZmzNb1ALKgkseDfp1k0Ito0cKGQoHMPv9yHJEmKsD0NUyCJjpqLIRbXYpoEkSRiiQiKRxHSFGBwcPLGN8D8gCgLlITdHhuJv9VBy5MgZ4Rxvb8LhMH+66156h0ZYvnA2q5YvQxT/9S5KX8xg5nkfpuMPn0eqbsDKq8GWNEQjBUc34hreh7X0A1jpOPHdq7GyadDTWJaNHCpGLZ+KEe5FHzyKkQw70b+ygm0Z2HoKOVSKq6oJV/V0sEyyT/4WV/UMtNI6sEy00skYkUHSa35DcNF7UEJlCKqL7FgfY0/8iqLzvoCguTETY4juAL7ms4htvZ9kKooRHkArn0Leig8j+/KcPV2Xn7Enf4PdcxB3bTMIApFn/4Jv5qlkR7vJjvXirp2LlYqQ6TmIb8apZEe6UQtrUENFeLxePDNXMrzxb/hmnEZa1jjY1oEwcIgpBQqxvg5sVymu0kkkew6ilU1GCeRhWya6rpOX7KGh4X1v0oy/OZQGXbQO5oxwjree3J5wjrcte/cf5ANfuJH7hvLZ7ZvHd1e38f+u/RaG8a+FFsIDPexdfSe2v4TKkkLcg7vh4OMEokeoqJ8JkgsE0Sk3WDoJOzGGmYqSd9onUAqqESUJtaQO96S5pA5tcAouKC4kd5DsSBdyqAwzGcY2dEdtS1JQ8yscSUnBKRoh+fJRCytRSyZhmzrW+HKye9JcjEQYW08junzYRgY7ncCIDGClE3gblyEoGrK/ABAQJBkrPox/+qkohTX4mk7BO3UpcqiU5KFnseNjZLr3o/e3ILq8+OddAIJApvcAgXnnke7YDakIkpGmoHEJ6daNxHc/RmrHAxSXVWDn13JKwRiZTbdjdu/BbN8C0X5AwEonsbp2s2xKyZsx3W8wx+9PlwVcdOT2hHO8Dch5wjnetnzv139BnHYG2rjn6ymfQsugxt8feJj3XHDui/bZsm0HfaYP1+yVJNf8mEOb1iJNnIcypZnB/laGtj5NRguh6EknulnzYFkGWlUjouoBASzbAkHENWk+4Sd/TbJ1I6LqxUyMYUQHcU9dCpaJlUkgiDKSJ4CZiiLaPkTNC5aFlYoguvzH0pFEtw8kCbVoAlZiBLGwEhCc2sSApSedvF09heQKYBsZrHQC0R1AUj2IXoPstvvQh7vIdO7EP+NUjGSU2Lb78ExZjD5wBDMdR+jajyBKBGadiWRl8NXOROrfx6QlZ3Ok0yZ/9lkk9q2hfsU5aP48zKyOHt/K5AKVI3KI/GWXku09wNCDPwQzS1Rz8/PByfx983UsnlzEt7/wyZesxf1G0NfXz423/J7ucAZNsvnTD77xupy3yK8xGMuQMUw0WXr5DjlyvEHkjHCON5VH1zzFXx99hrQJFXkerrnqUoqLi19wnK7rDKRElH9aevYU17Bux/qXNMLfvvm3pErnYNsWkXiSklPOR1Fd2ICrejpJTwGxLfeRZ2axLYNM+y6UoknPe7HY2LaN5PJgm1mUgmo8dQtI9xx0PM3J5xJeeyt5p34UyeXDtiysTMIpxiCITj1hUcRGdNoABLAtA0GU0AePgig5kdCC8+OfOPgMojuIqGoopZNIHXwWrXwKguZFECWwLbIjXXgmziW67V7U/ErSPQfIjnTjn3kaSDKpo9vxTj8V2ZfnCJAoKtm9TzFx7il0P/NX0rEw2XSSzNGd5AcDaP48ACRF5dF12yhbeTml/e0Mt20i2tWCr3E5VmwQ38wzABiODnP/7m2seddVLJzVyIWrlnDaypNfn5viJYjH43zsGz/EaDgDsVAh/Tqe+7k0pcFohqp8z+t45hw5Xh05I/wfxsDAAD/7/R30hZMUeFU+dum7qal5czR9b//b/fz62XZcNScjCAIjeoarvvp9/vh/XyEQCBx3rCRJKMILpQUtI4tHe/Hczi3bdrCrKwxNGnYmjegvxkgnHWEOSSKr6wiyhlJYg+jNI9O1H0HRMJNhBCnf8WwVl2P4EEi1bUctm4Lo8uOpm09s+wNYqSiCrJFq2YhtGth6kqCYIb7rfoTKZlw107EioyRbNyOIEkZ00DHwkkF2uItMXwuCIBDJJBE0D2Z0CMs0CS58F+n2HSS2PYhSVEO6czfuyQsxx5fK05178M8+h0x/K2Z8FDubxj/7bAAyPftxTZpPqnUTkj/f8cSHjjLjtPcSKCqhqqmOZaVhbn3mEXwL34M3v/TYdzba10E0mSYUHqSgton8mgb2rL2XdLifQMMywEnhGtvzBL5pKxFdGh3Fxdz48D7au/v4yGWvfq84kUhw6NAhiouLqaysfMnj/vzXe0lWL8Ilv/65vM/lB48m9JwRzvGWkjPC/0F0d/fw0et/gj11FVKZi+6szkf+55f84LMfZFrD1Df02rZtc/eTm3FPeb6Ws6RqpCYs5bd/uZvPfPRDxx0vSRLNNQVsjI2g+QuOtWdaN3L5p971otf4zZ33kYiOwZGtiC4/GhlqfToJYxQ9K+CWLASXycGBg8S2mMjBUnyzzyHTsRNBcRPf9ySSNx/J5SU71ovoCoxHMGcxU1GsdILIxrtwT5iNr2kFUu8elgzfzaUz0iiCxc3r9vLk7iBGcSOexmVYyTBja3+HWlqHgIjg9oGsATb64FFs28DbeAru2pkIskam9xD+Gaci+fIxxvpI7n8KyzQwIv3kLb8CKx1DdPuRfXloNbMQNA/ZsV7MRBjfzDOwMklnOVsSsX1BJEUlPdzFuXMb+MjlH6B5egPf+M39mP48JEWjb+96evesR65bQmffENau9dRMXwSyCzsTw1Y0ABIdu9EmznMUxswMlm3jrp7BA5tWc/nFGUdf+xXyi9//hfs2HyLmLkfVw9R50vzg65/D43mhIWzrHsAVnP+Kz/2vOb4Eqt/l/PSNJXPVlHK8teSM8NsUXdf5y933svVAGx5N4fKLzqKxof41nfPHv/sLdv1pSIqzFCcpKuK007j5D3fx8xu++noM+yVJpVLELI1/9mk0fx7tfYdetM9XP/txvn7jT9h9cBe67CNgjHJyfTl/e/hxJuzez4XnnH7c/uT67XsJLr2UrGEiuPz4D98NqTCFvgCiAIYFib42qrQU0eazxuUkZeRACbHdqwnMOx8zNkJk89/wTV+FVlqHIMoYsREiz/wJSxCx9Aypti1Y2TQzYuv53KkCoGBnM3x9VZDq/Qp/kqcR2XAHsidEaOVHEGwD2V/I2NpbCc49H8mXD1aWxKENpNu3YUT60PuPIGpe5FAp2DZyqAy1ZBJIMvHdj+EY7jbU4gnYmSRYBgICVmwUpbgWLAOwsbMpbMmPXVjLngd/zyWnL+bKD34ZgEXz5vLLoiJ+c8c9DA5E6ervpOmiT9IxMOYEiVVNo3PbvYiiiJpXjtHfilLZgD7ah3t6kyNjaZoo45KdCa2Avr4+JkyY8IrugY2bt3LnzgE89at4rsRDezLGN3/wM2786udecPy0umq2H+rDlV/2is7/avCozlZANJ2rppTjrSVnhN+GGIbBR794PV3BGbiLlmCZBp/+6T186py5nHvGqn/7vAMxHSmkHtcmiCLDSeu1Dvllcblc+ASdzD+164koVcWhF+2jqir/+9X/JhaLMTY2xg9+9WcebrfRKhpYs2+Yvzz2DX705U8wsXYCyWQS05OP7A4gYZNJRGlyjxBo+S0HPM1kgrW4h/aykANsQaF335O46xYiyyqZgSP4m88g030AMz6C6CsgefAZsgNHsPSUk8Lk8iKLEkr5FDz1S7ENncioxo82r+bq6WkE20J0+Th/ksmDB3vJhEqR3AFklxcrmyIbG3WMbKAQUXUT3Xov3mkrENVTSB3djRIqJTva6wR2CaLjfUeHECQFMzJIdONdCC4/wTnnkh3tJtW6Gf/sc5D8BWRHurFLJmFlnOAuBAEhFaFq5hKGYsnjUromTKjhW1/8NLf99R5aPQ1omoZPFYhn04iKC4on4Yt3o4dbMUU3aVFEdHkxw31o/iDFhSGeizTWMmGKiorIZDLcec8D7GpppzQ/wIfedxEFBQUvmM87H1qDe8LC49oUj5/9+yNYlvWC1LP3XnAO93/2G8TcK1Hc3mNSmK8HbkVCEoVcIYccbzm5FKW3Ifc//BidvnrcBeUAiJKMa+pS/vDg01jWv28wfQrYL9Lfp77Iwa8zoihy7tKZpLv2HWuzjCxK29Nc8f4XX15+Dr/fz849B9hjluGZMBNJUXEXlGM3nc13fv57wPG0S8qrEDJRTNNE0HwMRLN8qC7KV0ue5TP2n7h+wk6WlaY5rEzG1tPEt9/P2DN/wogOImoeXDVN2LaBv/FkRJefbHgAubAGz8R5jkCGKOJtWulEPcsqavlUDhasZP+wBdhOkQQTTMWNVtGAbZrYloGVijvVmWybxP6niG6/H6VoApI3D0SF7Ggn7roFKPkVpLsPYJuGI/uouLCyaYzRLjR/PoovHzOTQHD5UIprie14CDMVJ921FyM6hOTyOalNgkhkx8OUTV/CgJBPZ2fnC77TdDqDKMnYto04cpTErkcZ3XwPqbbtvHt2Oc/ceiMfOX0WC8UjLM2Lkd/xJDUlefjGSxymR3pYNLEAQRC44nPX8fsDJodCC1gdr+TSa/+P/QdbXnBNw7LhRaQsTcQXNbAul4vffPcrLJFbye9cS0Xf0//yPnk1CIJAwCUzEv/nPwtz5HhzyXnCb0M27j6Ip/iFe2ERwcfw8PCLRhO/Ei6/6Ey+cutjuKYsOdaWbt/Oe85Y+m+P9VVd/33vIuB7mHufWkPaECgLqPz31z9JXl7ey/Z9cssu3KWLjmsTRInumI2u6+Tn51OipNEqSjl8tANElW3xQr60y8WVjRlqS0W29tn8YKuINWMBgeoZWONpQOmj29EH2h2VqtgYiX1rkLx5uCbMwhjrwxRFAnPOxQj3Y2fTznKwIDCWVaiqbmLdnqeYUSVipiL86XA+mZrZWEe24ptxCrGt92PbFsGF70KQZERPkPieJ8aVuMA2dARRRhAlXBPnkNy7huxwB2rxRDK9B1FUFxXv/gqJDXegD7eT9QTRKhqQq5pQgiWMPvErPE2rSB1aj+jyIkiqk6qk+Rhp349XlF40r/q8M07hjq/9jI6DBglXIf655wNgjvbQ0nuYgoICvvipjx07fmBggP/92a10dKZQRTi9qZZPfPjj/PQ3f2CodCHuQD4AqsePPe1Mfvjb2/nVjV8/7pqrFszipnWteMsnH2uzTIOaoPwC7ennCAQCfO2a//ey98fL8iJOdL5XpS/8esZc58jx6jnhjPBPf/pTvve979Hf38/MmTP5yU9+wvz5Lx68ceutt/KhDx0f8KNpGun02/vBK8kPsTMSRfUeHzGsmMkXRBG/GubPaebaRJJb71nNWAYCKnz41EWcderK1zrkV8yF55zJhf9QFu+VIosCRjqB7PIeVxhAxiIej/O72/+OlUnRufpWmLAYLb8IK6+ao0s+zle7duAe7CNe2Ei88gCegkqQZERBwErHcU9eyOjjv3C0mb0hRJfPqbgUG3K836lLyA51YIz14KmbN57OJJFORTk6NEBBLMOWboH7DinsrDqbZMtmlOIaZH8RgsePq2wKtpl1UpeyaVw100kd3YFSVIOViTuBWNFBRM2Lt2kFRnwUK5PASkXIX3wRgiAiF0+iflozm373TbKTFoAkI8gqWlUT3snzsdINjqGRFURJIXHgKQZa9zC3Jo/a2toXfJ+FhYVcvGQq37j1YTzz52EZOkI2RXllBQNxhYdWr+G8M087dnxJSQk/vO6LLzjPvvZ+RynsHxBEkb7YCw3/OWeeyjPbvs/2tihKWT16dIjQ8B6++tVPver74fWgJODKSVfmeMs5oYzwHXfcwTXXXMMtt9zCggULuOmmmzj99NOPpTu8GIFAgEOHng/8ebtWdvlH/uviC1j9xe9hN52JML5Plh4bYEltIS6X6zWde+WyJaxctuTlD3ybYNs2v/rjHew40sfBoTYkSaK4ahKlDfPQE1Hq81U+9KXvkq49CbVpKqVl/ey552f4KyaPRyKDXT2XJDaiICL2tCIgOGIbRsYpgDCueoWk4G8+ywlSsi0S+9diGyaCJJPu3o8NWHoaURnfd3X7Gd16L0/XXslTyTQZsQXzwEZEbz6MdKIPtWPrKdSiWqyUkzNsmwaCpJIdbCPTV4XsL8BdN4/oxr+ilk1FLZ+CGR8lfWQrwfpFKHoc3RYx9SQ9j/6SsumLGEkL+MfzdxMt6zGig85nklWEbAbLMtH7D5O0UnzlOze95D1/0oLZ1G7pw9BsBEEkVFqKKErYXi/bdm/nvDNPY2RkhK6uLiZMmEAoFHrBOdyKiG2Z42ldz+N6kV8WURT53tc/z959+3ni2U3UTq/gzFXfRlHemnKCVXkeHtzTh2XZiOLb/3chxzuTE8oI/+AHP+Cqq6465t3ecsstPPjgg/z2t7/lS1/60ov2EQSB0tLSF33v7Up+fj7f++zl/OB3d9IXN9EkmxV15Xzh6o+9fOd3GLfdfS93HUjgnnsR1WNjjMVS9LftQBy+k/mTS3C7NLJTF6Kqzh8nnoJSmi7+PEcf+ZWzfIyAKAjOXrhgY6bjWLaFJAjYehpECTMVw0yECS6+GFF1oq0FQcQ7eRGRjXdhZXUQwNe4kvjOhxFdPkTNgxEbBgTUwmqMRJjs0KPkn/FJsE2wLGzTIPzUraQ6dqIWVCG6/GBmEVWXU+Fp5yOIioacV4aRjKBYBqmWDQiqGylUij7cScWMWQyPjpIcPEzEV0ViYBBjrB8rk8RTtxBR8zG25jcEF1+MWlANokDy4Dr89UsJZAb581/v4f9+/zcAmieV88krL0NVnSCAsrIyfEYEKT//uO88NdzNtOaJfOWGH7KtN0XSVYg3+QBL6vL5ymc+fpxRv/zCM/ncbx7GPXnxsbb0cBenzpj0knPaNK2RpmmNr8v98VqoK/YRzxi0DsWZUvLCesk5crwZnDBGWNd1tm3bxrXXXnusTRRFVq1axYYNG16yXzwep6amBsuymD17Nt/5zneYNm3amzHk10RTYz2//d7XsSzrbV2b9Y3m4fW7cNWeAkBBXh55oSDpohVU9z/DT/7nK1z62W/Svnc1qXQasAmE8qmavZKGKVPo7x8k/OTv8M+/ANlfiD7YRqZn/7ElaL33ENgm6e59yKFyZF++E2GsurEzCRBFEATM2DBWNo1tZgnMvxArHcdMhNGqZxDf+TDZcB/xXY/grp2NrSeR/YVOAJJt459zHuENdxBa+gHkQDG2pZI6uh1RcVFwxicZe+JXYJn4Z5yGUlCJbeiILj92JkFs1yPs3rAWq78F/7SVpD2lyHvXEFh0McZoN4lD65C8QXyzzyG87jY8tbMBG29NE/5QASI1/G37WhpPvxSAx8aGOfrNG7n5O046ms/nY3FdEU8NdeIqcgRbTD1N/tBOegemsFmvwDWlfDydqJG1g+3U3Pk3Pnjx84F0s2ZO55Nn9vGnhx4lihfNSnFqQyVXf/jDb95N8m8yucSHLAmsOzycM8I53jJOGCM8PDyMaZqUlBwvJl9SUsLBgwdftM/UqVP57W9/y4wZM4hEIvzf//0fixcvZt++fS+p1JPJZMhkno+YjEajr9+H+Dd4uYpB73RSBoS7DtN7cBumqCBZWcrr54DixrZttmzdSmb6u5DcXvT+I/R0tjB89Ccsn12P5PaiVs9g9NGfIiourGyG4MmXMfroz7DNLMH5FyEoKr6ZpxNZfweZgaMooWKsbArJm+foPksq0Z2PYAx3ILkC+Geehqh5EV0+0l17yPS3Yts2WvUM5GCp4+3CsShgOVCIWlDN6KO34J7UjOQJoZZMwjXzNMzRHhBssAyUgkoEWXXShEQRW5SQ/EWMbXsId810Ro7sAfkQiBKSy4cQKsO19ANYZhYMHT2/nAnzVmLZ4NY0PB4XXUNRBOX5PGo1UMjBYR8HDh6iqLCAn916O92jMZSj25AHClHdXmqLfHzxO1/i6m/9BFft8bEC7uIJPLltLR+8+Pg5Ov/M0zj39FVEo1G8Xu9btrwMr+751WSJxrIAjx8Y4IqlL9w3z5HjzeCEMcL/DosWLWLRoucjahcvXkxDQwO/+MUv+Na3vvWifW644Qauu+66N2uIOV4GMTlCR08Kz4yzUQUB27Zp3/ckjbUyn/nKdSTL5yGobiJbHsQ1cTa++Reh97fS0rqVTN8RRNmNu24htplBUL1EN/4VUdHIO/m/EJ6TQ7QM8pa+n9GHf0TZye8jI3lBUsj0HEDUPGDqKBPnoJbWEd3+AKKkYGUSiN48R1DDMskOdZBp34E47wLUgmps00QQRTL9hx0pS0NH8hdhpxNk+ltJd+7BTMVQS+qwYiNYmQSy5gFrfCnbMjBjQ/jnnY+7ZuZ4reEokY13OWMWBGzbwk7HkVxeyCTwezz4xwP3wpEI2XgYlyxy4LE/k0lEya+so6CmgXUbNnPvhn2YU1Yil3mgcAHJQ2u5/qp3M318mdi0Xjwn13yJVF1RFF90z/jN5tU+v/Mm5HPrs+0MxzMU+l658leOHK8XJ4ybVVhYiCRJDAwMHNc+MDDwivd8FUWhubmZ1tbWlzzm2muvJRKJHHt1dXW9pnHneG1obi+u6hnoiQjp2BhGJol34iyGokke2d6G4AkQ3/4A3qaVaCWTMBNhbD1Jb6AB0eVB8PiRPAEklx/J5UEOFCMFihBk2UkPSkeRLB2XKuP3e2lu+Tn5u39PfN0fsDJJskPt+JrPRg4WIXmDBGafjW/WmXhnnIqZjGGl4/hmnIq/+SwCi95H6shWUr2HiO18mMjGv6L3tpA6vAmtohFsG8mXh3vCLLTyqYiqCzuTQJJE4jsfwc5msW3bKQiRGMNKxtCKJ4JtO309QSRvPolDz5I4vJFky0YE1UW6ZR01tRMRDz6GHg9jY5Me6iC64XZ62w4Sk4KY1XPpHRxh172/YPPuA1hTVzlGH0c5TZl2Kj/5w93HvvcpZSGyqcRxc5GJjdFU8++lx71ZvNrnd0FtPoIA9+7sfZNGmCPH8ZwwnrCqqsyZM4cnnniCCy64AADLsnjiiSe4+uqrX9E5TNNkz549nHXWWS95jKZpr0oLN8cby2jKRAiKCJILQRSxshk0ReHA0R6ihoydiCKXTCbZ8ixmJokSLEEtqiEbGXRKE5omkr8AJVhKZvAIgiRhxIaRY/3kayZu1SZlCEQSCpoe4Uuzk9jmET63T+JgsBjR7UfyhnDVNBPdeg+BOechunwkDjyDrScILbsMUVaxLRMrHcPTcBLhJ39H3sorHS/atjCiI4SfvQ3/vAswx3pId+wCBETNS+roNpT8cvThHrIPfh/ZV4BlZrEt0ylH6PJgJMYQ3X4ESUF0B8gOHsUzdSl2Nkn06T8QCPjQ1Cxf/H8f56kN27nnb+sR8qtJJRPkrboUxV8IAmilk9HzK9h6aC+VE4+PshcEgZHU827u5z9xBR+79jv0+yejFlShD7ZTne3gk9e8sfKmr5VX+/z6XQpzJ+Rx26YOrlgy4T829iLHW8cJY4QBrrnmGi6//HLmzp3L/Pnzuemmm0gkEseipS+77DIqKiq44YYbALj++utZuHAhdXV1hMNhvve979HR0cGVV175Vn6MHK8Q27Y5fGAfxqypaHkBZ49WUUmm44yNjFBw9jVkYhFM28ZV2Uhs+4N4Js1HUFRH1Wr/WgLzL3T2WW0LV9V0lEAxcudmCjsfxzdtOYIgoMnA3icoE44gqkXYho5v9ABp+TBa5TQy3ftRi2vxzzid5OGNmMkwAKIniDiuwy2M5+2KgohaNMEZv2kgSApqUTXeqUuI73gY/6wzMMJ9iIoLtayOTO8hbAuKzr3GGacgYSTDhJ/6A9n+FrS8ElSXm2w6RjbajihJeOedD6aBbXnxNp9NZPPfmPLeT3LjIy10b3qKuov+GzObobd/ANmbh21mEUURURTwT5rFwINPUDGuAPaPeJTnjbDf7+ePP/4f1jz1DLsOtDLv/CaWLvrwOzJG4dSGEr714AHWtQ5z0uSit3o4Of7DOKGM8MUXX8zQ0BBf//rX6e/vZ9asWTzyyCPHgrU6OzuP+5EYGxvjqquuor+/n7y8PObMmcP69etpbHzr0yPeicRiMf545z0c6RmgqqSAD73vIoLB4Mt3fBEikQif+vp3SQSqMboOEju0CW9VA+7yKYTX34la3UwmOoLiCWInY5iZJJ5pJ5Pq3IV74lwSB55GDpYcSzlCkBAsCzmvnFAowJWBDTywpZW4HMCrj3FpaS9tRQaCJGMJMv2BWlJHtqJVTsEY6iTty0d0B9AqG8m2bMA7ZSHpzj3Ytn3MexIUDUtPYQOSL9/JnbVMsC3kgkqsfU9iZ+J4G07GyiRIHnoWrXwqgupB9uajD3eR7tqDbZnI3hCebAQxFcHlDyL7Q4y1bsI9aR4urx89NoaJgOQrQKmewabbb6J2znIyU09j4MAWShrmIWAjSBLYIpIAsixjWyaFIT/64WfRpp507PtOd+7mXSsdXWfLsojFYvh8PlatOJlVK97YusFvNQ1lASYWefnpk0dyRjjHm84JZYQBrr766pdcfl67du1x///hD3/ID3/4wzdhVDmGhoa46qvfI1m9FC2vlj0jYzzxuf/hF9d9lvLyV1cF52h7B+d9+Boy085FmSzj0jzY2TTRHY+Q2vUIWUFC8RUg+/LRUwlsGBeMELH1NNmRTuRQKVYqhm1mHSEOAFHEiI+iCAILJgZZMDELwiiYWQTdxb2HYdngCL884KGnaiXS4ONkB44SWnYpoubDTERIt21B9OVjxEbRKhpI7H0Sb9NKJyMpq5Nu2+4YXtN4XidZENG79+Gpm4974jwQRSQ5hK/5LKIb7sBMxcn0t6IPHsU3bQWC6iY71I617XYC7U+SsBVGB3qRNA/umadippOYlo3kL0BAQJAVgssup33DnRQuehfh3jbKpisoRhoz5QRu2YCNTXawjY9cdAazZ83gt397jLGMjU+xuXzlAi44+3Tu/PsD3PnEJgZSMNzTQbFH4L1nncIVl7znuIpV7yQEQeCCWRX8YHULG46MsGjSC4tP5MjxRnHCGeEcb09++Ks/oU85DW1cNEPz52E1nsn3f/Unvv+Nz79kv2c3buLvjz0DwEWnL2PGtEY+9vXvEwlNxhssRYyNYQkyksuPt2EZI2tvJf/Uj5HcvxatqgnV7SOdiCBIEsnxAChB0cajlwMY4X5Hp1mUsC2TTNdeFHcBY8lu8nyaE/QkqbSOWuwLLeND20aJeqvwevNBgMDMMx0jbugIkoR78gLiu1eTiQ3jmbIIOVhCfPv9jqEdasdVNQMzESbdtcfJGxYE9N6DZEd6Ccy/AKfQg2MSBdtGzisj3X2AdPd+AnPPO+Y5Z/pbURvPxKqaxOTyMhKxKK0P/ZqRjX/D3bgC0RMEBGzTwIwMIU9dgnfaCsa2PUBhmZN+N+uCq9j291+gTJiLp7gaY7iN2b4on/zo/6EoCsuXHq/F/fSzG/jl061kShcyGEkhlC+ma6CNnz95iI27v81v/u8bx4Q+3mnMrcljUpGXGx46wD3/b0lOQSvHm0bOCOd4XegaTSDVHB/sI8oKPf9CIP/Gm3/FI0d1PNXzSWfS3H/T/Zid16FrIewCZxlb8wVJx8IkelvIDHagVjSSbtuGFRth7Kk/4m5YBpZF8ug27GQEQVYw4mNgZHDXn0SyZcO4brOElYpj6Slcy6/gC9t/xbvLB5iWb7J5UObu1mKSp1xCctfj+BtPJr7zYWwb1LLJWOkY4Di2gqQ5AV+ySrJ1C1ZyDFH1OEvIoXJsM4tv7jmMrf4F2eEuRElBLqgE1YWdTWMZGWfvFyfFyIwMIvkKHD1qHG/VjI1gpWOoTSuJpmO0dfeT7/dQtOgCBjbdT3zHg7jqFmKbWfT+VnzTVgKC8xkTIxSLIZJDnQiyxuzm2cwqESktNVm24CLmzJ71ksFHtz/0JFrtUnq7+hBd499/ySQSuw7SO3kpd9//MO9/1/kv6GeaJo+tWcuG7XtoqKvlonPOOOGCGwVB4NIFNVz3wH7+tqOHd895cR2BHDleb3JGOMfrgvbiRXBeVEMYYHBwkMcPDuGduoxUOk3X4BjCpMXEEwm8E5sZXX83rolzkBQNwUiTHesjMPtMzESYZOtm5LIp2IZOfOfDIMpgmyiFNaS796HmV+KauozwM39E9hfirluA5MtD72sh1bEbKxmmZ9p/8X/DHaiHjpCtmksmbxfeRARB8yAIApnBowiCSLr7AEp+GYLicvZ4BREzGUFweXCVTwZBQh/pQlRduCfMBlkhuuFOXJWNjvF2+8kOd+Aqn0qqczeeiXOxZQVsnFQkQ8c38wwSOx/GCPc7+b+m4RhmnJoMuuSmZziMgISFwMTp82jZtJrA/Avxz78IYbxPqnUTfkXg8T/dzMOr15BIpzn76k+T/0+ylC9FygDLtDCRjstdtAUJT0EF2/Zv5J+rTqZSKT527bfp9kzGXTqH9bt7uWv117nl+v/+t6t9vVXUlwVYNLGAGx46wKkNJQQ9b53oSI7/HHJGOMfrwrtWLeEHj+7CVTPzWFu6+wDnnDT7RY9ft3ELZqFTfWdoZAzBHUBAwFXeQLr/KIHpKxh++k94m1aR6tyLq24BZiZB4tA6/HPPGxe0sPFOW0l8z+O4amagDx4FC9TyeqxUBEFSCMw7HzlQDKKEWlCFnFfOyGM/Ry2eiKt6GtnS6aRbNiC4vER3PISo+Rh94pe4yqfiqp5BuvcAme69+JvPRlA0Mj0H0QePkn/6J5A9QeysjlZaR+LwRhL7n8KIDuCqnYsZ6ceIh8mbex6CIGID0d2PE95wJ67q6WAajtG1TCJP/wEzFcM9YQSlsAokBat9J1Y6jqi4sEUJweXHCA9gegrpbNmLlYkT37cGb+NysG1SLetRRFgwewZut5uLzjv7Vc/hxOIAvXoSkedrTtuWiSxY6IkoZQUvLDn5i9//hb6iBXjGSxm6CytIB4v435/9jh9884VVl97uXLqwhs/dtYsbHj7A/75rxls9nBz/AeSMcI7XhTNPXcFIOMw9Tz1GDBde0lywsIl3v4Qx8Lo1+tp3IqdFEqk0sjxeojAdwe1yIRbVYGcexRxqIzt4BF/jMqxxD1EQZcxUGMkbAtvCM3URyZaNeBtPJtW2jexQB2AjeYPIoX8IChMltIoGRM2Df/bZCKIACPimryJxaAOCICF5Q3gnL0DOK3fyfifOxYiNMPrkrxEVF6InSOikD5Bu3wGCOL4UDN6GZcR3PET+qR8jvv0h3JPmMbbmN+ijfdhmlsSBpzGTEdTyetKde5FdblS3F10XyFt+BQiQOrqdRMuzyP4ispF+5J6DuCfOwTINrEyS+M4HQfWjFteQN2UJ8f1PMbbm18juAPk1UykqLOCyC1f823P4qSs/yK4v3YCqTiItu7D1NKn9a5g8/xTktnV86H8/94I+u4/2o1VOOa5NUlTaR5L/9jjeSvK9Ku+bX8Xvnm3n/FkVuSCtHG84OSOc43Xj0vdcyAfedT6JRAKv1/uSOaV9ff38+M7VxHuHcJdNxySDpRvIogUDLUw94xI69+/AW9tMqLYJUfOgj3Qj+vIQVA9mKuYsQYvO7SvILqyMo+4kqm5nyTg2BIJIunMP2aF2BEnGNrNoNbMQZBU5UIiViiJ587DScWwrg3faclJHtiDnlwMCotuPERlEya9AVNwEFr0HQRARRBmtbCqJ/Wsxwn0oBZWAjaB6EEQJWxAQXV5Et5/4nidQgkUE5l+EIErE9z6OPtYDwRIsw0AOFpPp2Y9WNhnPxDlo1TOIrr+d4OL3kR3uILbjIQRJJtN3GCsZwTd7LrI3HzlQhL/5TGeZvWsvnkQ/MqPceEsnT63fyPXX/jc+nw9w9my379iJaZrMmd18nLazZVmsfvJptu3ZT/O0qfzuxq9w2933ceeD9zISiVNbVUN16gDX/PeHXnRZWxE5Lk3rOdQTOLBpVUMJG4+M8MW7d/PoZ5bhVl9iryVHjteBnBHO8boiiiJ+/7+uSPOj3/wZu+E0ptTE2PPgb8mKbixBRJIkZqy6EEEQ8YSP4C6ZSNSyUapnEd3xEGrZVPTBNrTq6WAZTpSxIJDp2otaWoelpzATo8ekH43oIO6aZvxzzgUcYxHb8ndHEjIVxTYNjMggYCPIbgRZGU9nEnguilkQJexsGkFWHM3obNqpdKR58ExeRHzvE4ial+xIN0pxDZahg5Eh1boFKxlDKazGO+M0BMl51LTSydiZJN6mUxBEEckTIt2xm8zgUbTSOhRvCMvIkNizGndtM1L5VNJd+5E8QdSSiU5a1lA7yaPbCcw9F/+M04hmM4z6Qoyl4wSbz+ae0QEevugq/n7z9aRSaa7/+Z8Z89diCxKhW+/lc5edx0mLFpBMJvnol/6HHm8d7uIGnljbyR/vfZxbvnMtH/2vS17RfJ+/ciHff2wfnuqmY22ZsV5ObZrwb9w9bw9EQeCqkyZy7d/38N1HDvLN897+VddynLi88+Rvcrzt6Y2kkRSN7l3r8M+7iKJl7yc4ZT6iJNG+9k6K2h/nmvesJNW2hUQ6gyBJ+Gefg4BNureF+PYHsfUURmSAZMsGsmO9iC4/o4/9HDMeRlRd+GecjqT5UEsnOZ5uNo2djuGZssTZZzVN5EARkr8QRBkrGXbCnyUZY6x3PFXIxrZMbBxjL0gKgigjKC7MVATL0LEtg0zvARL71qAU1ZI88Ay2KJPpPYRSMgFvw0lYqShWOoERGSTTfQD/7HMQFQ1BlEGUcNXMwBjpRnL5QBCQRYmCxe92PPpMEkFW8M44DW/9SSgFVXimLsU7dRGp1k0gigiSgmvSQucPGVlDK6zGnHkhX/ruT7nu57eRbTwbf/U0AlX1WI1n8t1b7yWVSnHTL3/PYPkSvOWTMfQ0g51H2NKd4GOf+xqmab6iuTzr1JW8q9EPB1eTbN+BeXANSzyDXP3hy97Ym+gNpizk5n3zqrl1fTtPHhp8q4eT4x1MzhPO8abjU2AgFSdpgDfoRNC6y6egBfLx2Gn6u5/lV0/78ExZTNf2x3FVNSG4/aQ79yIIInJhFamOPeh9B7FtUPyFxLbeC7KKf8n7yXbtJhvuRQ4UIkgKtqFjGzoIApIniBwoIrHncVy1zcihcjKde0j3tSC6vLjrFpJsWY+cX4nsL0AfOEJ2pBszE8fU0wiCgOQJYJsmib1PgA2SrwDRHSC89lYklw9v48nIs88hsu7PWJkkSqgMMxVBDhQiam5AwLYsRM2DlYohunyOUpdlkdq/FrW4lmRvK1ppHWYqRna4AyWvFCM6hCgEEESQA8Wkj24n1b4LpWgCguoC6fllZkHxsK+jn7JZKwj+01JxqriJ1U8+zf6uYdQJ04kOdNK2fR2uhpORagJs7t7DR794PT+/4auvqCzhJz50CVe8P01PTw/FxcUvuxJyonDatBL29IT5zO07eeCTS6nK97zVQ8rxDiRnhHO86Vx81go+9OUbyeRNRoyOIsky2Uwa1eNnbCxGXyJAibuayrJSQlkXyZFeYmt/h2faCtxTF5Nu24ZSWENw0cXI/kJn+TkVQe8/QmLfWrSiKmR/AanDTpUhUfCOJ/mCmUlhJqPIxbWMrr0VyRPEXT0d7+SFZPoPYyYi2JZBuucgdlYHSUTy5qHkVRDf+RBqyUSU/ErSnXsQZBWloAIzPoroDhJceg5YJqLqAttGK68nsfdJAovegzHai5WKYdkWViaOqLrHl6htzGSYTF8L2aF2QrPPwFNczcjm+5zAM8tCEGVsPYWouDATY05hCEEkGxlC1LxoE5qxLQuM7LHv2LYMVJFj++b/iC3KZHQdZXzftmvXs3hnn+NocwOu4gkcdZnc+fcHuOS9FxIOh7Es61+mOrlcLiZNmvR63iZvOaIg8LGTJ/G1e/fywd9s4q8fX5wrd5jjdSdnhHO8qViWxW//+iCFCy8ivnM9gstHNp1EklUUzc3ogWfwTj+VSAaSHT3YgoBSWI1WOQ3FX0i6+wBazSwynXsQ6pdgpeOOh+vNw103j9i+NaQHO8gM92Cm4sS2P4h/9lmAiBkdIbLhTnzTT0EtnYykeTHjo3ibVmKloninLiWy6S5sPYVv1hmoBZVInhCp9p0kDjyDqCgkw/0gSLiqZ2DpCVTvROxshnTHLsyxPiRfHtgaIKAPd2CPpyC56xZgxEbQew5hJcL455yHpacRJJnE3jUIQN7EJsyevWQEG0/pJOIb/wKZBFk1iJmahxIsxrIMrFQcI9yPmRxD9DZjA/HNfyNU7yhg2baFkBhlxdxpdIy2AVOPmwNtYC+nr/wc6YzOrbtaMUQVbdwAW4ZO0KPhKShgzebVrNm8i660CoJAmZziW5+9iurqqjfzlnlL8bsUrj2zgW/et4/33LKBX18+l0lFvrd6WDneQeSMcI43lcfWrKXbM5mSsolkR3oY7d2HWNaIlUmSHu5CH+nG7w4gam70+CiWaWMlh1CLaxHcAczYEIH5F6J370Xy5ME/RGAnD65D9hWg5JVhpeNYiTHkgkqG7/s/JF8+VjZDaMn7kNwBzGQE98S5mNFhUm3b8ExZhJ1No5XVo5TVkTq0HldlI2Yqgm2k8TYswTNpPrZtoQ+0Edv+IPmnfRwBsPQkgQXvJrFvDd5pKyEdx0hFQJJRgkX4Zp/tiHOkY7iqpxPZcCfRLX/HTIQdRS1fAbLLS9CrUVTXTLSvHVlT8Z35HvR1t9LiqSHdsg6zpA7RE8QY6yMzeJTQ4g+QHekk8shNNE2qpKd1HaloH0o6wuxiKKudzFj4KG1P3oqr6VRESULt281Hzl1MIBDg0vdeREfvzzkcH8LUk4iWiU+TKCwowjKzbNq+m5pzP4UmO0vSw6bBZ75zM3f99DtI0gkYMWybILz6cZcEXHz93EZ+sLqF829+lm+eN42Lmity0pY5XhdyRvg/EF3XueOe+9lx4Ch5Phcffv9FlJeXvynX3rBtD+5SR8CjctZJuNv20br9AYx0HCkdpnjlFcRa1iN6QujDnaj5lWSGO9F7DiCFSrABzCy2kSUbGybdtg2wMcZ6cVVPJ7jgIpw9VxM5v4J0x27kvFKCiy4msecJZF8BNjaiyweWgRwqJrLlbxhjPQiaDzM2gugJ4Jowk+xAG3JhJVY6jnfqSSBKCEjIoVL8zWeR7tiJe8JsJF8BZnwUOVRGZONdCC4vViKMVtmEnYwQ3/kIjHua7tpmPJPmEV5/O/mnXIWouPAVlJKOjTGw7wnyiwrJq5iILEvoWYOQlCJPtYi78zCSo8RbNuKrX0Jg0UWAjTdvNiEzwu03fZbS0lIOHz5My5F2fnTPOloH8jADRcTG9mI+/Cvqa6v49rWfZk7zLMCRavzqZz9BOpXm6aSOr7DsmHEd3bUGz4SZiPLze8KiJDMWmsIzz25g+bKlb8r98rqSiYPr36vqVRZ0c9150/jNuqN87q5d3PrsUb5ydiMLJ+bnahDneE3koqP/w8hkMlz5+ev4/X6Tw/kLWW9P4UPX/ZzN23a8Kdevr5tAeqT32P8LJk6jYt7peAtK8ZVPQg4VYxsG2cgAvhmnolY2YKWiBJe8j9DCdyP5C7CyGdwNS4ms/R2eKYvwzzoDKVCEa0IztpF1IoYBMz6Gq2YGWkUjouYFSTrmOYsun7OXbJnIvny8M8/AU9uMVtVE4sDTpFo2kO7cjREZRg6V4ghIAtgIoohSXIsRGUBQNLAtbMtAkFRH0EOQkAPFZAeP4Klfgn/2Ofibz8TbuJz43jWYegKloBrJEwRszHQcUdGQK2fQdWAPiDLpZBJ98+3ELBeTVl1G48JT8EY7KJ65DC2/lKxhYBgmRjJCUf081m/diaZpNDY28p3f/JX+wrlELBdjaRurah7m1FWES5v58s/upKOj87g5+cbnP8kyXz8cXkv6yCa0Q49x6pQQnrK6F8yf6A4yMDz6xtwcbzSZ2Gvq7lFlPrlyMt84t5FU1uT9v9rI6Tc9zW/XHWUsob9Og8zxn0bOE/4P47a/3ktf/izc+Y6SlKx5sKedxk/+fA9/nNP8hl//onPO4K7VXyMdLEJSnIo8fitCrHcnIykLd8l0TD2Bb9aZ2HrKKUiveVHyKrBtE++UxST2r0XOr8TTeDK2kcFMRR0RDUFE1DyOaIZLAMtECZaQ6W0BQJBUzEQYyRNwAp4EgVTbNgTNR3TdbahlUxBUF3KwGCW/Cq18CvG9T2Cl4rgqnssVFZygqMGjTnUmy8QYD8zKjnTin3c+2BB59i9olQ3jxRocRNWFe+IcYrsfxzNpHtg27lARajZOSjdw55cQ29ZKd/goHjuFW5U47aIPcqRvHaoEF156Jv/78CFcFdMQcLwvG5vewxuoOe9sdu3axa5duxiQi/G5fGSio4ieIFYmiR0qp2Xj3fiKK/noF6/j4b/8+pgHpygK3/7SZ0gmk4TDYUpLS4nFYmz58o+gdMJx8ycPHmLlSR95Y2+SN4p0GIKvvTBDfWmA689vYnd3hLWHBvnOQwe44eEDrKwv5uQpxSybUkhlXi6SOscrI2eE/8PY0dKOq3DxcW2CIDCUEtF1/XUvVZdKpbjzngfYf6STxknVvPeCc7jl+s9xw09/R8dYip72NlKyH3HW+fgzOmMb70LwhJBUN5YN6YE25FAxgurCSkaQfAW4J80nsvUeAjNPR5BVBNER2LAMHUFxObV8ZcUxluF+Uu070MrqcNXMJHFwnaNmpXkxwgOkew6g5pWSt+qj2HoKQXUhCCKx7Q9iFVbhmXoS4bW/RR86ilZRj53VsZJh4vvWIqouJM9OkBT0g+ucghPuAFYijLtu/njBBwErGUFQ3WBbjqKXmSXTtQetZCKCIKKbNoo3SLp9J43nfxx/STWmnqZj0yP09Q/wjas/QlVVFY+sXoM5ugYrk0TSvADY2QzJjt18+UdDUDmT/t4ekuFh3NkMNgK2nnYUrSQVtXQy3pmraOvczm1338sl777guLnyeDx4PI7xCAaDXLRwKn/ZvB7XxHkgCKSPbuf85iqKik7QwvfpyOt2KlEQmFUVYlZViEgqyzOHh9jaMcbqe/Zg2VBb6OXkKUUsm1JIc1Ueed53ZgnIHK+dnBH+DyPo0TCz+jEv9Dk00USWX9/bYWhoiFPf/zFGlUJExYW88TB3r36W733x4xTnh4iEIxzxliJPnE8mlkHK95NXOJHR1b8g03sI0RNELZtCdNPdeOuXgZlFUF0o+eVOcFXUkZS0DR1P4zJi2+7HPXk+Sn4V+kgnySNb8EqLyFt2GclDzzpLx9a4jnMmieLLR9S8qBUNgEWm9yCiy49aPAHP1MUkWzfjazoFtXwqsR0PEd/9KIKkgSihFFaSbt9Fumc/WkUjocXvdUocWiaiy4dSNIHUwafRyqZgGxmsTAJBVjHio/jnnIudipI8vBGxbi4uTSO6azXWaCftsQHifX9CzyTxTJzDdm06V9z4Z86aVkxNeQm180+lv2UdiawxPm8CguzGmn4uwUCAtK+c4cEBUuFBJM2DmU0jugMkdjxCXtNSbNvGWzGF2x98giPtXSiKzCUXnk11dfUL5u/KD17MknmH+Mt9j2JZFu+58jRmTm96wXEnDOnwG3LaoFvhnBnlnDOjnETGYG9vhN3dER7Y3cut69sBqM730FwdOma4G8sDaPIJGNyW43UnZ4T/w/jQe85j4/f+hNT4vNB/erSXVfWVL6n1/O9y4RWfJtZwLt5QKQBmJsm27fdx9ke+RN3ZH6Ozv41EYSNCygLJUY8SVReuCbOI7V2DZ9I8XBOaMdNxki3rUcsmI8ga2dFejMgQadNAKahG9IbA0FEKq4hufxg7PoIUKHakHssmkzj0LBg6FqAW1iIOdhJacgnZ4XYyg0fRB9sxxvpwVU0DBGI7H3GWpiUZK5vCio+Sv/IqwEbQvCT2rWXq6FpOm6mTZ43xRM9W9vbUYVTNR5BVEGWMkS4sPY0R7kctrsWIDmJlM+i9LXibViLlleEtn0z4mT9RXxNkb9zAv+RSsoaBZ8oKOLgOU5A4vO4hiuedyR/X7+VXn56FOrwe15RFiCZgg953EFewAv+4TnR+KEB+4xKGdzyGornJigqYBq7KRmRvCFJRMr272ZNSsKQmbMNkzf/+gatOncV7LzznBXPYUD+V6+unvqD9hCQVfcMv4dVkFtQWsKC2ANu2GYhmODIUp3Uwzv7eKA/u6cMwbWRRoL4swLSyAA1lfhrKAtSXBQi6c+UT/9PIGeH/MCZOrOXLHziFX939KKNZBRWdlVMq+Pz/u+p1vc7w8DC9dhBt3AADCIoLu3wGg7seQtv5FOb4kqmoerASYcxUHNsyHN3nsX7S3fsxo4PIoTLi+9Yi9+xHCRQjeELIgQJE1U2m/whGpB8bASM2goCNf/F7EWUXYxv/SnzPE6hFNQhuH9mRHpIHn0KwDCR/AWphFZI3RLJ1C6HTPg62BYKIWlpH+Knf452+iuxgO0pxLbZtHVO2atD38H8Lx/AEQlgpFydPVrh58194wF2GWjKRTM9+Uh278M8+G73nAMnWzRiRPryT5hGafwGIEnYqguZ2Uzm5kUk1PswFCznS1YfgcQQxvE0riG1/EHXCHCK97WglM/j8t3+AbtqMDaVx1c0H22Zs/3oET5ADsX5kAaqbl1FeVoIZm417rJXR7iPIsy/EF8xHMeIE3Tbtukne1EXjkc8KUsNy/vDYY5x7xim43e7X9T54W5F5/ZajXwmCIFAadFEadLGkrhCArGnRMZLkyFCctqE4m9tHuHtHN4bpBP6Vh1w0lgVoLAvQMP6qzvfk0qHewZxwRvinP/0p3/ve9+jv72fmzJn85Cc/Yf78+S95/F133cXXvvY12tvbmTx5Mt/97nc566yz3sQRv/1YcdJili9dRDKZxOVyIUkS23bs4ta7HyKetanI9/DpKy55TXt/3d3dCHnPB8GYpknWNJELqkHSyJY3E990F3pCxz/7bGffUpQQFQ2yGUInXUJi92q8J11KfPv95J/6MRL71uCqmUVs92oCs88meXQb+uAR1KIajNgoZOL4l3wAyeV1qialogSWfgBJ8zgpSaJEqm0blp4muX8tnvql2Ah4pi52lKhcPsDCyiTQqpqI7XwEY6yXgjOudgpGAGZshJNCg7iU8VUDQUCQVS5vFlj9wC+IlMxBHzxK3vLLUGQZobwevXs//rwi3CU1uDxebNtGk9xUlZdiDursPtJNVk2iaG5ERUbPGtiChCBryKEyohvuRA4U0T6mUzK1mYaaJgYObSM+3IdvYjOUNSIH8xEsk0MbHqZh6VlMVUf5n298BEmS+ObP/kwsVI4rUED7xodRiyZQUnR8ib5ooIYdO3exeNHCf3vO3/ak33hP+OVQJJG6Yh91xc8LfhiWRW84TcdIgs7RJJ0jSba2dxBOOQpobkViaqmfxvIADaWO1zy11I/flfOa3wmcUEb4jjvu4JprruGWW25hwYIF3HTTTZx++ukcOnSI4uLiFxy/fv163v/+93PDDTdwzjnncNttt3HBBRewfft2mppO4L2tl6G19QgPP/4kwyOjuDSV5pkzWHny0uOCrgRBQFEUVq95io1bd/DU0RjeaSsRRJHu6Ahn/den+OKV7+e8s8+gp7ePH/3udobiBh7Z4tLzVnHykkXHXfPAwUPs3HcQM51g8+4DTJlQSV52iFg2DYJIKjqGbVlk+g+jx0fpuPsG7HQcU0+RGe3DVdFAsnUz2dFOkFwooz0YySh9f/hvbEUlemA9gpUl3bUPK51kVE8gqx4ERSMz0ougaMj5FejdB7Bsw/l8wSJ0WyL+t28hmWns/BoKz/4s0S334Jk4l/iux5DzK5CDxQiy5gRdZdNYegpBFNF79iNbGcxEGEFWsaODWLFhAmIGS09jWyZWJoGUjuERZPJNg2TbU6Q9FYys/iUIIkpmDJc/RDg2yuDeb+OTLURZw1C87NezCO4QaqiIQOEIZHUEOYpgZjFtSLRsIHLgaQQb0sNdaNkIkfa9KIVVqL58wv3tyKX1mAMd6BX1yP5CkpksT//kGpobJvGDm0dJplKMjA7Ts+kZCotLIB5DbSwgGo2Szuh43S4sG4ZbdvPtGx/F6w9SP6mKzr5hspkMQdlgQt0UPvKRjxAOR9i4fRd1NVXMndN8LLo6FovxxNp1KKrMKSefhMvl4p/ZsGEjd9z7MNPr67jskvexfccu2rp6WDKv+bj9aMMwePix1TyzfgtzZ03n/HPPQtMcqUjLsl7blome+Pf7voHIokh1vofqf9KmDid1OkeTdIwk6RxNsu7wMHds6cK0HK+5Jt/D7Jo8ZleHaK7Oo77Ujyzlsk5PNATbtu2XP+ztwYIFC5g3bx4333wz4DyUVVVVfPKTn+RLX/rSC46/+OKLSSQSPPDAA8faFi5cyKxZs7jlllte0TWj0SjBYJBIJEIgEHh9PsgbhGmafO66G7l//V4SvgrEwhrM0V7EkSPMqC3le5//CNOnNQKwbeduvvmz24gXTaNncIz0QBvF5VWAzWBfD3JFEx4zRmmilYwtEZh3IaIkY9s2mbbN/Pe5czjjlOVks1k++83vciDpozVskhjsIjvSja96Gvr+J3BPW4VVNBFR82HGhhl98rcgu/BUT0ermkZ2rJfYtvtR8ivwNCxDEETSXXtBFJ3KQnllZPsOo5VORnB5UEunYMZHSHfsQquejqi4SOx7ErV4AlrlNMzEGIkD61BCJSR6DuFRJXwzz0AtqCLVtZfU/jXoZTMpWngh8V2PIqhussNd5K340HgksYWdTRHf9Rg1k+uRB/fR29VNYMkHKPDKyKJN3vofcP2cKLYgorg9SLLKg/vjfH+bjNl0HlJZA3pfC9mBVoIukUnGEcJjo0wvkclIPo4E5xEJTiUyOkxmpBuQEATwz7sASdEw9RSJvY9jRwcxbQGtqhE5VI7ecwArGUGtmUli16MohdW46+ZjZZIkDz6DEe7HPWURrvIGsqNdJA6sA1HAP/MMJG+QVOsW9KF25EARvlmnIyBgCwLxvU9ihvtx1cxEKZpAdqCVTO8hAk3LkeP9lPc+iVsfpa94KRVLLsKODVKe6ean3/4iTz67kV/ct450USNYBp6h/Xz5igtZvGAeANlsltPf92FaUl7UCXMw42PEdz9K3eyT8E9oQhhuY2GFwvVf+DQtrUf4ry/cQL9/CnjzyXbtodAY4Jf/8yXKiov4zP/8hLtv+e6reiaee36/cM1HuaA2C2fe+Do/dW8uhmnRE07RMZLk6HCC1sEYR0eSmJaNSxGZWRlidk0eZzWVMb3y3xMmyfHm8qqNcCqVYtu2beTn59PY2Hjce+l0mjvvvJPLLnv9y5jpuo7H4+Gvf/0rF1xwwbH2yy+/nHA4zL333vuCPtXV1VxzzTV85jOfOdb2jW98g3vuuYddu3a9ouueSEb413/8CzevPkBELYSCCSBKYJlYiTHUnh3MKvdw583/g23bvPvqr6LXn4kgCBzu7EVwBYjtfBjbNAiM199VjDh66waomEndpNpjuakAobbV/PGH1/GjX/6O+/r9tA8l0CWXEwEcGRyPVF5Aum0LcqjMkQsUBNyT5hPf/iChkz8ICFipOJFnbyO0/L+cOr0uZ5kuuvVeXJPmE37iV+StvAK9vxVv43Inylh0RDdi2x7AO+M0sEySh57FUzcPBIlk62Y8E+cQe/h7FJ5/LbL7+aW/VN8Rhh/8IYHTP4VtGiiFNSRb1mNlEnimLMaMj6D3H0ErqaWqrJCAJtC5awOTR5/GzpuAy07RKPcyPBLmvfOLyfNIrDlqcX+8gWzlXLo3P4K46vPYgkim+wDWwEF8doKVbGFqscY9vnfjLqrGtm16oiYxSyP87F/wzzoDvWsvoubFMrKIskamdx+hFVcgKF7H43b70Yc7SHfvR/YW4J40Z7z+sY1tZIhsuRclVIq3cTm2bRNdfwfemasQJQVRc5bjE/ueJDNwBNkbcoLcxvqQ/AW4a5tRiyZgZdMIgohtGmQOPElo1mkosV5mtf2GjjELzwX/g+bPw8gkmTy2icMjWeRppx37fm3bRtr/EHff/C1kWeZr3/4ut+4I42s8GQA9m8UwDZLP/J6Fl3wOgGTvYT61pIw/PrCGPd7ZiJ7QsfMlDq1jqjJCRUkRQ9UrefAzy1/VM3GcEa5OwDk3var+JwK6YdE27AR/HR6Ic2ggRiSVZXpFkEsXVnPuzHI86gm16Pkfxatau2hpaaGhoYFly5Yxffp0Tj75ZPr6+o69H4lE+NCHPvS6DxKcQB/TNCkpKTmuvaSkhP7+/hft09/f/6qOB0dRKhqNHvc6Udiwt414LIpYOOF5jVxRQpAUMobFsFJMa2srBw4cYNRdeWw5URq3rVL5NEzJWfqzbQtZFDBMG0v1kU6nj7tWWHc6bWvpZiwjYGp+JM2LKKtO4YNAIYl9awkufj/+5nPwNZ2Cb9oKBFFELZ6AmXCCZBItz+KuPwk7m3aqA43jrp2N3nMAtbgWva8F96T5gA2mgaC4EAQJpbDGKZrgCYJtIyhuUm1bnBxdRUMuqDnOAAO4yyahFTpVkOS8CiRvEN+sMxBkhexQB6n2nbgnzcNVM4OwLmLbNnl1s6gOStw4p5/r5ie4uDlIm3can2pbwod3NPL3vEuQp5+FO1SIJtqAjSCIaOVTsUUFvfcA752msC0cxF1UNf6+QJ7m7IPL3jy00sn4Z6zCP2MVwXnn4pu1CtFbgGCDbaQRXU5esFo8EWOkG62yfrwKE2BbCJKK7CvATDmqUGZsXG9bkLBt+3nZzCmLsPU0nmkrMTNxR9xEEFGLJ4Jtg5FFUFyIqhsLEESRrOKlRyhlRpFF396NgCPysn7XIbJlM4/7fgVBIBKYyPYdOwF48BlHl/s5LNtGlFWEUAXp6Mj4nNRxz+qnOBKXYTz/+dh8TZpP61CSQ71jiNLLG5J/+fyO7+u/01BlkfrSAOfMKOezp07hpx+YzedOm4osCnzp7j2s+v5Tb/UQc/wLXpUR/uIXv0hTUxODg4McOnQIv9/PkiVL6OzsfPnOJwg33HADwWDw2Kuq6sSqGPPSMZQ2AjaSJDnG9x8WQEI+D5aeAiwQBGxs7HSMooI8ZEnEymaO84IBQqrT3zKy9O1cS3T3aqI7HiR5ZCuWkUUQFUepyXrhQotjFJzzOeXz7BeOfDxS2VmoEXheNvK4Ex07z3Of0bZsp/2514t9E7aNu34Z6fYdxHc8QrJlAwBa9XTkYDGS2/+C48V/ur4iSxgTl5GdegbuvNLjjrVtR7vaxhpvFcaHcvw57Bf51ws+34uM/QXnOXbcP7wniNi2xQsYP1YQBETV+7wh/xcI4y/LBv4hSleEF72GbVmIz83vv/gcz5VOHB/Qi8+XbY1f/5Ut2J3oz+/rgSQKzKnJ48qTJjK9Mpjzgt/mvCojvH79em644QYKCwupq6vj/vvv5/TTT+ekk06ira3tjRojAIWFhUiSxMDAwHHtAwMDlJaWvmif0tLSV3U8wLXXXkskEjn26urqeu2Df5M4uXkqfr8fo/+wUzEGwDTByOCSJYqyQ9TW1lJfX09BqvvYj3d+Xogin4rQth4l1o+qx6gqKUBVVCqaFpHdeR+q4njWtm2TObKZ9591MpZlcfTIEeTqZgLNZ+FvPhvR7Se+ezWSN4gcKCSx5zGwTQRFw9KdIC198KgjHQmOKMaBp5z3088HzqTatqFV1pMdPIpSUkeyxfHAkBRHztI2yY50IoXKMOMjzhJqNo1W1UTq8AZsQyc73E42cXxaSrL7IPpwN4ldj+CaMBNf85ko+ZVkhzqI7XyE7HAn8X1rMMb6yVMdact46zZOLxl1jNC4cRNiQ6RiEQKKBTgSmcnRATKo4xrVEpmu/ZjJCFplA3/Zk2VhfpRk/1Eco2wTzgjYpoGRiGBmkmBbzqqEZZNu34WdHHWupbicko2A3n8YpWgC6c492KYTPSuIElY2jREbQfLmOV+TrwB9sB3bMh1jN24skwfXoYTKEBQNIzKAmXSqPen9h49Fett6CiuTQBREbMtC0mNU2n3sGpYob3K82mwqzklzpqH2Hb+tY9s2efGjNI8XibjglMUkDq079r4oCFh6BiHSi+Z3xprqPsjF56xiasiG8c957D44vJHJJV4aKguw/qFe8kvxL5/ff6OC0onGaELnkb39XH//Pq6+bTv7e6NctrjmrR5Wjn/Bq9oTDgQCbNq0iYaGhuPar776au69915uu+02li9fjmmar/tAwQnMmj9/Pj/5yU8AJzCrurqaq6+++iUDs5LJJPfff/+xtsWLFzNjxox3ZGCWZVl85YYf8renthNRChELJ2COdaNEupk1sYzvf/lqpk52RPn37j/I1358K2OBSSCreEdb+dgFJ2NaJr+6bx2J/MlgZMiLtPLRd5/Gw09vYTCRxafAB845hRUnLeaJtU/zP48epiupOMZH1rBNndjW+1CrZ2BF+jGObkEMlKBOXoyVipDY/xS2IKKVTESrbMIY6yO2+zGUUAme+qWAQKZ7P4Kskh3pQiqoJNtzELVkEqLqQi2djBkfJd29D1f1dARBJNGyAaWgElfZVLKRflJHdziBWb1H8Koi3mkrUIpqSHfsIX14HXExQNnpH0XyhrD0lLMXrXmI730Sz5SF2GaW+Nb7qGqYhXdoN56hPYipMBc2qlSGNB7rcfNwt5exDJROnoGvrIZ0z2FGW7aQmXoGWslkMv2HyY50IksSdYmdpNMp6gskBM3LYc8sInn1REaGyEaGEFxe9N5D+KYsQCusJtN7EL2vFaWggkx0FLV0MnJBBZmu/dh6ErWqyakIFSrBM2keZjpBquVZjOgI7rp5uCoayI50kmjZjCDYeJtOQfblkWrdTDY8gLfhJFKtmxzjLKuYySiCrKCVTRkPzDqCPnAEf+MylGg35UPr0fQoIxUnUTj7DMTEMBOEYX58/Rd5dtM2fnzHo8TzJyPYJoGxw3zzE5fQPHM64AQLnnvpR9k9YiPVNGMnxkjue5LJc0/CVT4VNdzBsolBvvyZj9PZ1c0Hr7mOTqUK25uP0b2XMjHKb2/8KiVFhXz6+h9y+0//91U9E++0wKx/JJzUaR9J0DaUoH0kQftwkqF4BlkUWDq5kHNmlHNqQwlBTy6V6e3MqzLC8+fP55Of/CQf/OAHX/De1VdfzZ///Gei0egbZoTvuOMOLr/8cn7xi18wf/58brrpJu68804OHjxISUkJl112GRUVFdxwww2A47mffPLJ/O///i9nn302t99+O9/5zndeVYrSiWSEn6Onp4en1q1nLBxBU2QaGxpYuGDeC9I7TNNk46YtpNJplixacEyoIZlMsn7jZjxuNwvmz33J2rHf/sFP2SA0YosiB1qOYIgqgqyR7tyN3rOf0JyzyB56luopDYwd2ADRPk6aN4d7n9lKzFJR8yuQfYWolfVEt95HdqQLOVCCUliNWlSNFCgiefBZEm1b0YonAQJmpBdR86HVzCI7dARBVBxd6XQSOVCAmYqj97Xgm7YcY6yXwPyLGH7kxwjRQeQJc8lb+gFGHv0JwSWXACBIEqLqRlDdxLbeh3vKIgRRcqK2dz6GIgvgK0KQNazkCEbbFqz8CQQXvgdbT5Ed6UQc6yQZj+FpXI6kaBjDHcguH1rZZGxBIPLoj1FcHpKREVQjjVuTneuldERRwjP3fDw1M8h07cUYPIqqKkS6j+Cf1Iy3qBJJBDJxJM1L/uA2pjc0kl9YQCQSZs++Q4RCPnw+H729faTTGSzLZvasGXi8XoyszvDwKPF0mjNPWU4kmiAQ8FNeVsy+A4eZ2zyDZEbnaFsbnd09ZLIGMxom09bRQzar45FsamoncskllxCPx9m2cw8Ta6qo/wcVrXQ6zfpNm1FkmUUL5r+o/OnevXu558FHaaqfwrnnnMWhQy20d/Uwt3nGcemFlmWxbv0GNm7ZSnNTEytWnHzsfM4S9qsTrTjOCE9RYNU3X1X/twO6YdEXSdE9lqInnKJzNEn7cIKR8cpNfpfM9Iog0yuCNFUEOWlyISFPTqv6ROFVGeEbbriBZ555hoceeuhF3//EJz7BLbfcgmW9yF7U68TNN998TKxj1qxZ/PjHP2bBggUALF++nAkTJnDrrbceO/6uu+7iq1/96jGxjhtvvPFViXWciEb4zeLeBx/hRxuG8ZZMYGBomLG0hWVZJA8+Td7EmZj+UuIbb8ftz8NEIjvaQ6Fq0Bc3kZvPQxBlJF8+IGDpScLP/JnA3HORvPlYqaij9SyIjK29FTlQjLu2GbmwGjMyQPLgOqxsGrW4lkz/YYIL3oPkdsoTGvFRohvvwkonKDj7s5BNH9tvtPQUw4/8lOILv4RtGo4eteZBkFRiW+/FP+dcsEyyo73E9z9JaOkliIqGERkk/PQfMNJJ8pdfjqi5kXwFjjcpSkQ3/w1ZczN9xXl4PU5wUe/AIOFYAl/4CNVzV/H/27vvOCnK+4Hjn5nt/XovHHfA0XtVEQRpig0xlthi1Bg1wZKIiSW2EI2JxBY1iaIxlhhjFyMiTaVJrwcc3B1cb3t723dn5vfH4vk7KSIc7B0879frXq+7Z3dmvrN7s9+dmed5vgDB7Ut49rZL6VFUCMCdDz1OScJ3J8jQ2PDJG/Qeey5Ga/v70/m1y3j64buP6/t6MmmXhPslwtg74x3SIYWiClXuIPua/W0Jt8odoNYT5JuuFWkOEz3THfTP2Z90s1zkJllETeMu7Afdsb/77ru5++5DfwA8++yzPPvss8cc1OHccsst3HLLLQd9bPHixQe0zZw5k5kzZx7XmE5V0yZN4NUP78GXmEFKUiKt+6rxe9wEKncQCgSINO7DYLHiGH0ZBkmCYJiqLQvQmZqwOZOoX/0haMRmt9I0lICHaHM1asCLzp6IpihE3VXoLC7M+f0xpHZDkmUkZxqOIefQumEBpryBaNEIsslC1NMQK0Xo2D8blKzDu/ZD7AOnIJusRFsbY9WRgl6ijZUYMwpjHalCPoJVJbHpKaOxiThCtTux9zsLNBXF24SkN+IYfA4tq/6LITkHLeRH8TYjmyxIOgOaEkWq3IjMuVTX1qGoKh6vn3DpKjLHntP2mhmLxjDvrQ945O5ZACQ77USDfvTm75S+C7WiN7af9OJozgSF/8fcOb5Eh6IKlfuT7L7mAPua/VS6g9R5gm3dzzJcZnqm2ZnWP5MeaXZ6pDsoSrOLuaVPQqLbnHBEampqqK+vp0ePHm0zIhkMBl74/WzmPPMP1pfW0LJpI431NSSOvQq9PRlkmWD5BnyVO7Fl9wBZwtbzNFq+eh1l3ac4+o5HsrhAVQhUbiVcvRM1HEAN+giUr8fedwKSBEqgBUNaIdL+y+nq/o5Diq8J36YFaEoESdbHzpyjEaLNNaBpmLKLIRrBvexVZJMVNeTDmNqNqLcJ76ZP0e1JRjLbiNTtQbYl4RpzKarfjdLaQKSxEseASaCpaHoTasiLMbs3elca0cZK9Mk5EPajRUJokRA2k46Mnv3Y+cHzaOm9kUwWWsu3YNWD3vztsBtZb8Ab+raD0bU/uoDF9z+L1vfstgQbamkgzxpFiYT3z+8c49+3jXMnjTwRb/fJyXxiJ6/QNI0Gb4iyBj9ljT7KG/3scwfaJdtMl5me6Q7OG5hIj3QHPfZPaSmmpDx1iCQsHJbf7+dXD/+ZHa0GwkYnjsB/uPiM/lxz2cUAJCYmcucNVzHm4hsJOXNIHnA+0eYqfHu3Yus3Hlvfs/CueR9bdk+0SBi9wYgaDhFsrkbZuRJtf/WjaH0FSWffiBr2I8l6jNm9cS97BdmagOJrRosEQGdHU6K0LH8LQ0ouzmHnARr+Xato3fI51oKhBPZtgUgYfWIWaqCVhNGXoIb8qAEPOkcKUX8zvh3LST77Z0TcNUQDrYSaqtCCXtyLX0SLhrEUjcCQlB0bWyvJSKqChIQa8GDM6Iln3Uckjr0S2WRDUxXCezdR0GsQtdtW0X/m7YR9LSjhIDXZPfG762nYvYnUoth4Wn/9XkYO6NH2+mZkZPDA9efzp7+/yaZdFSiaRk6CiRf+cA9/evFNypQkFGsyZk8Fk3okM2nCuDj8F5wkLInHbdX/v2LSngYf5Y0+yhr9eEOxsclJNiP9spycNzCTHukOeu4/s7WbxEfwqU78BwiH9cCfn2WXayjmTAex89/+/HPFSgb23sjgQQMAuOmu+1H7nYtV0qNzpGBM60a0pRb/jq9wDJraNqxIDnsJe+oxZPbC2vsM0BtBA/eSedgHTo1NwhEOxAo5mKyY8wbgL/0a15nX4F37IY4h59K64X8YUnJxDJyMpkbRwgGsRSNpXT8fd/UuDAnp2HqfgaZJNC95Ce/mz7H1Owu92YbS2oj36w9QQwE8G/6H0lKLzurCYLYRqa8goilYC4ZgLRqJd+MCoi216F2xyV5UTcG/dSn2AWejtNbj3bKYaEsdREO4ikejd6VhkDQkWW4bepNhDbBPhYZdX5JSOIBAXRkFgR3MPP++dq9xQW4OQVUib+KVGK1O1EiIO+a+ytxf/QRNUdhbWcXggVNISUk5ge/8SagDk7CmaVS3BNla7WFbtYftNa007e8olZ1goV+2k8l9M+ib7aRvlos0h0ncShAOSiRh4ZAURWFLpQdjn/adgyzdh/Ha+5+2JeHS2laMQ7OINNW2TbKhd6UjqSqqvwXCPrISrTTLUXZ/tQjXqItRIyH0BhN6nYwhJRdNllFDXmSzA2QZVBXJaMFWfDp6sw1DagGeNR+h+Jpw9RyDpoRRQ350Zgey2YGt1xk0L30Za68xSEYbhP04R8zA8/V7BMrWoTPbYxOSaBrm3L4oLbW4Rs5A70oDSULxumla+AIYTETq9mDtPZbA9mUEIl+jKWEizbXY+41H8bnRO1KJeurQJ2agtNQhBT1ULX8fgxpqd9/WarGQm2zHWhui2LOK00f345wplx/Q2/wv/3gNpdckTMbYbGU6oxmt7xSefOlNnvn9b9v1RBaOgfXYknBUVdlc6WF5aQMbK1tw+yPoJIm+2U5mDsthVEEyQ/ISxZAg4QcRSVg4JFVVUZAP/CeRZML/bxhaSlIiFZEQZpuLoK8ZnS0pNgOSJBEpX4uleQ9b330Gc3IWztQcrIkZhDyNSNEwOqsNU3ZfArvXYCkcjoqEJOuQdHpC5RuRXWlEmirRWRzIFjtqJIAS9CKZbeisCW0zZmmRAI7B0whX78SU1j027abVSdL4a/GsehdJjk2yYe0xBjXYijG9EJ0jGSXgQWd2oLMnYu42CDXgJ1S5DamhAmN2byIN5fi2LY3VBq4vI1S+AVNuXwyZRfg2LqD3hJmYTGZqdwVpdrtZ99/nyBt0GimFA9A0DX3FSv7+54cPWuXrG5XuALpc03deYpk638k5zWLcWJKOarGSmlaW7axnVVkTrcEo3ZKtXDo8j9GFyQzNTxSXlIVjIv57hEMyGAxkOyRqVCVWNGE/f3UpE8YObvt78qgBvLitDsWRjsliJ9RajxJoJVS2hvRBY5GLR1HvC0NSNsHty5A9DaCB5nejk6NIOh3Bio1o0TD2gZPRlAi+bUux9DotdsnYnoQ5bwCaEqH5i9cIlq3DPmDytwlYiRLcuwVb/wmE9m5GNtvQoiGUcJDAzhXYB01BZ7KhaQqhyhJ8JV9iKRyOhIQk62OzSsk6DElZeL5+H3NuP3Ro+LYuRY0GSBz3E8J1u7F0G4ykRLH2Oh3PqrdJP+MKWio2EpIt2AacQzKxOZuryjcR3ruZnjnJ/OK68w+bgAFseo3Gg/R8toqjs2OZjrxjlqZpbKny8N91+9hW3UpWgpkrRuYzfWAmfTKd4tKy0GFE8UnhsH7782vQbfkYf8O+WFIrW88gYw3nTp7Y9pxf3nA1Z1ircDRswRRsxNy0C9Pm9ygcNZVwKESDN4wxdwDNW79ASu+Fr2QFmO1o1iRamhoJbviYxNOvINpUhW/rYoIVG7H2HIMpswfmgiGE6/fE5mGWZXRGK2gq7i//hX/7F/i2LaVlxVtYe4yKzW8cDeP5+n1C1TvxbVqIpdtAdFYnWjSIzuzA2mMkhqQcghUb9veq1vHNfMvhmlJMOX2xFJ9BuHY3lqLhJJ5+JZJOF+tV3VyJbLbh3/I5jh7DMWcU0Fy9F1u/Cfvn41ZJdDnoN246PbMSeW3ug4wePux7X+OrLpxCaNeKdm3Bio1ceNZ3xw8Lx0Q+smkrG70h5szfziMfb0OWJP521TC+vOssZk8tpm+WSyRgoUOJ79rCYRV0y+ffTz3I+/M/Zc/eUs6+aiyDBvRv90FkNBp5/rH7Wb9hI7/9w19oMKbhPe1KqrYux5jZC2tSNiFvC4bkXCw9RqF4G/GsehfF3xKbNjISJLpzBbLVga349NgcxrI+VrZQZ4j97m9BQwJZxpDaHSW4Hk2JYszqiTlvADqrk0DFRiS9CSXkI7j5c3Q2F7I1AdXnRmdP/jbe9O5EGvchmx0YkrKRLQ78JV8Sqi7BOfpHSEqESHNVbOiSyYrenkS0tYJwxSYcvUZjKRqC0aAjoqlgMLVdJdBCPpKyU5FlmaBkPOIP61HDh3J7i4d/frgAdwgcBo0fjxvOBedM7tg3U/heq8uaeGHpbuwmPX+7ahgTe6eJpCscVyIJC98rGo3iDwRRVA1Zltt9KHm9Xp5/5Q1K9tVTVbab5qyRpBf0xbttM6GGfaiynnBdOch6DMk5SHojksmKbLLiHDUTVAXF24TibaTlq38j6Y0gySg+N7LRQrh2N7LVhRoKEqopwZCShzmnGGNqPsGKjQTL1iEbbUQaKzCmFZI47mo8q97FlNWTSGMliqcBnSMZLRJEDauxer2BFhzDzqP50+eJ+t2xscjhAObMnoTKN6B46pC1KD16FVOxfhGtXi9Wq5mEgRNRWhvwlywjYjQSjgLeRqK+Zgw6mYwkFwa9IVbEwPTDPrinThzP1InjxYQccbRsZz1/XVzK2X3SeeziAWLqR+GEEElYOKzNW7dz1xPzCOcNx2DrwWcvfc7IlE955O7bCAaD/PSuh2nKPg1TZjHbt9ag0yUT2L6Oln2lOEdejN6ZStRTj2fdR+gCLZhy+hLYtRpb8RlImhrrsayq6F3p6BLSaF76CrY+45FNVgLlJfh3rUZntqNFw233gNWQD8lgxlIwBNlsJ+KuRVOjmIuGE6rcTtRTh73fRAJl6/Dv+BLXaZfvr1WsEdi5Ci0SRvU2o8kSjmHTCZauwWg04xx2Xltlokj1Dhp3byI3J5eJxSmkp6Tw7Ctv4ssdiXXwuaBE0TVVMNDhxV+/CsuQ6ej0RjRVJbxjGddfM43Kyko+XfwlGWnJTBw3FoPh0L1mm5qaeOHVt9jX0EKa08rPrrrke+8lH0xrayuKopCQkHA0b/cp6+uyJv66uJSZw3L4w0UDkGXxRUg4MUQSFg5rzvP/Quo3DfP+2aqsBUNYUbGZZV+toLRsLw3pw7HsHxerKVFadq6kpmIbiWdcjqZpqEoEnT0J55DpNHz8FyyFw2Jl8qyxmbI0VUEyGJF0emSzA8XbSKB0dawUYeNezN2HYc7ti96WgBqN4N++DHNefzQl3FZ6L1K7C0NqPt4172PK7YdzyDmxM2ijFcfIi/FtXYwWDRNtbUSSYvNUhxvKUQNeAtu/QGltInHi9aCpsWL2IR+mrJ64Ny0gNbc7u2uauPGqS/lsUzne3DF4/X5MVhOurEEEqq1cP8jJuh1rqWsN4zLJXPez81mwbAX3bf0MMopRtlbx/H9+y59n/5zuBd0OeI1ra2v56b1/JlI4DkOqg9Kgn+X3PMHTs2+gsHvBEb1PTU1N/PaPz7DHA6qkI9MQ4t5brqaosHuH/S+crGo9Qf66pJRJfdNFAhZOOJGEhUNqbm6mXrFi+k71JWtOHz5a9BVRVcOSGOs8pERCBFoa0fceiD7gR7I4UQNeVH8Lst6I3uZC70ikedGL6J1pBCs2YUzNRzbbQQKltREt0Ipr9KXo7QlokTBKyEfr6vcwDp4CgKxpGNML8W1ZhDmvHzp7Mq3rPkZTIqiV27APPgctEoxNwJGSB5JEtG431qIReDd+ir3PWAypBYSqS/Cu/wTHsOkYE7Pw71yBzmyPTXupREGSMTmSkRKSSS4ehSca4fYHH8fr7InNZsNm+3YaSktGD0rK1vHHe78tDLB23Qbm7/Rh7XV6rMGVQjQtj9/95UVemfvgAa/zE397FaXXJAz7xwnrzVa0vlOY++LrPPXwb47ovbrtoSeozxmHISu2jkZV5Y7HXuCtpx7EaBSXVQ9F1TSeX1JKit3E4zMHigQsnHCid7RwSEajEZ12YCF1VYlgNZtIT3IS9rcCUL15OdZB0zDZEtD2Vy2STVYkwGy1oYsGSUrLwpCQgWvMjwjt24IaaEWSQIuG8ax6B1vvM9AZzUh6E7LFgaw3IFscqOEgmhJFUxXMuX0x5fXDvexVvJs+QzJa8ZdviBWwj0b2jx2W0SIhjFm9iLhrCe7bhm3AZIxp3ZEkCb0tkeQptxCp3olstsfuQ8syasgfS8SaRjTkR6/FxkLLegNNciI6f8MBr0WwuYaeBXnt2t7+5HMs3Qa1a5NkHTWKhaampgPWUeUJoTN+d5ywjlrvkY0T3rVrF/tIbrcOSZZpTevPJ58tOqJ1nKoWl9SzraaVR2cMEPM1C3EhkrBwSDabjaJEPdGgv117pHQFV150DtddNgNd6TI0VcXX0ozBlYaskzGYrYTry5HQQBebeCNStoai06djT0pHiwRxDJxCuHY3res+xrdpIYq7BtmaENuAprXd99Wi4ViylnVIkky4voxw7W6MmcWE63YTrS8nYeh0rD1H490wn3DNThSfGy0SQpL1RN1VqEHP/spKEoqvGXR6JL0JSadHknWxaSrXfYIa8kMsalq+/gBHUmrbPutNFvqlGgm5a9va1GgEe/XXzDhvarvXR6fToR2knKekKgettWvVaRysouiRjhNubGwiYnAc0G6wuqiqO/CLwynpIJ3d/OEo//56LxcOzmZ0YfJBFhKE408kYeGwfn/XreQ1rCC440u8ZRvRlXzKTVOH0L17AcnJyTzxq5+QVbUEg2cvirsKNRwkYchUNHcl3vWf4F03n4b5T5KRkQFKGKmlEm3fBiyuRJIGnIlz0BQ0VUGNhvGXfImmKkS9jWhKNNaTORyg5as38O9ZR8uqdwjXlKKzOFBCXnS2JJxjZmJML8KY1h3nyBkE925GMphQo2HCtbvQOVIJ1+4m6mtG8bu/3TFNQ9Ni96RlkxX74Gm0fv0erWs/xLP8TRIGTKS1uTH2VFUlXefjj/f/mgmuBkw7FiBvX0BBw1c8e/9tbVWlvvHjC6YSLF3drk2JhMmzKQetSX3F9AmEdrd/fmjvpiMeJ9y/fz+c3ooD2pWqrUwdf/oRreOkd5Axwh9trCYYUbhrSnEcAhKEGHFPuIOoqso7H87n81WbkNCYcsZwzpk0ocsPN3E4HDz/6H3U1NTQ3NxMUVFRu16+vXoU8cKj91JfX8+En9xFsP+FyJKMq++ZhOrLsHr2kWXvziWjM8hMT+MfzUNpcPWkctN8QuEIrbXlSBYXKdPvxL9rFcHyDZhy+qEGm2ld+xESkDDhejwr3sbScxTGpGwkg5mopx5LwVDUQCs6RzJqOEC4thTF20Trmg9QwwGizdUYU7sjGa2EKzZhyu0LgKQ3EardhWSwogZa0NlTCNfvwVI0EkmWsFjtGCxWgoqCr3o3zsYt3HPHT1mwaAmgcfPMiZx5+mnI8oHfYWtra3n57Q+JNuxh66aVOAsHkuBKJDNaze/vu+2gr/EZY0Zxq6eV1+d/ijss4TDAFeOGcf60SUf0HlmtVi45cyCvfPElpu4jkGQd/vINTCx0kp+f/4Pf83gKh8P8572PWbu9lIwkJz+5bAZJA98EoAAAL6NJREFUSUc33WQ7Uvv3yhuMMn9zDVeP6UaGy3yIhQTh+BNJuIPc84e5rPQlY804HU3TmLtoBxu2PcdvZ90U79A6REZGRuxs9hBSU1MZWZTO55v/RxAdsqbgSkold9RkgrtWcu6kCWRkZPDZV2sJJeTQ5+wCtnz6BpbcfshphYTr9mBIzES2JhAoW4N/xwqcIy8itHstqFFkqxNTWgGapgJa7ENVp4doGMXTABKEyjfhHDUzVrHJbEeLhHF/+S+MGT0IVZUQ3LcVQ0YhSnM14Ya9SCYrWiRA1F0NutjkGgZHMvljphKNhNEadzHCmMUvfzeL2x9+kn36DLxeL2+u+oh+/5nP84/ei8ViaXsNmpqauP7ePxPtdTbO04bTMxqheeMiLhuQwPXX3HLYL2TnTTmb86acjaqqB03u3+eqH13EqME7efXd+YQjUS68bCwjj2C2rs4kEAjw018/SG3SICwpI9nkbWXhXX/kT3dcS5/inse28u8k4U+21KBpGjeMFb3HhfgSl6M7wO7de1hdq2LNKARAkiQs2b1YuquZurq6OEd34kyfOI5uA0Yy8OyZ9J90KXnDYlcCXGpL25jX2T+/BsP2+QSaa4nKeoL1FQR2rkBnT0JnTyK0byuGhAyM6YWEK7ehc6bEavrq9CDr9g8xCmBIySNYuhpJp0dndRKu3YOpYDAoEXS2BGSjBdAwZfbEmF5AwrhrsQ+aSrRxH/69W0iyGbDm9wdVQe9MRwsHMWf1wtJ9KM1NTdSu+ZS8aT9jtVbI5KtuZX1dhPJ91bTa8mi25PD51ioefvzJdvv//D//TbhoPDpj7MxKrzeQOmQSSzbsOuIrIkeTgL/Rs2cPHvz1L/jDb2/vcgkY4KXX/kNd+kgsKdkAGK0OdP2m8sSLb3TodiKKymfbarlkeC4pdtP3LyAIx5FIwh3gq6/XoaUUHtAeTshn/aYtcYgoPqZNnkCer4SWmnL2VtWwu2If2xe+xWl9cpFlGb/fz/8WLWNIjxxGyzuxB+tQAh4cwy/AmFaAMTkXx+CpRJtriLqrMKTkY+19Jt4NnxL11KH4mlGDPhRfC3p7Mhoa3i2LUPweoi11yHojmhJF0hli9wA1FWN6ISAhSRLG1HycQ89DpzfgSk7D1WsUrmHTMef3w+BMJdraiHfTZ7Ssfp/ep0/DkpCKNSUHd3I/3GEZW59xGFypmDOKsI+cyX8+X9Vu//c2tGCw2A94XZpDHLTjldDe5j1VmF3tayZLskxVawdUk/p/Z8Kr9jTREohw1ehux75eQThG4nJ0Byjqlou6eh0kpLZrl30N5GV3vTOSo9XQ0IDNpGfnp68QlY040/PI6TuSTzaXk/POe7wyfzm1zl54lST8e2sIlO/A2mcKasCDzpaEtv9s0ZzXH9+Or5DNdnQWO85h5xGqL6NlxdtYi4YjW12EKrehBrzYB5zdNrVltKkSQ1pBbOpHAFkmXLcHa/G3nZN09kRko42m+lqMigZKiHDVDpyjLkaWJaItdVhsDsrXLaX4rJkAhJurMfUa225fJVlHxJ6O2+1um50q1WmlLBxsOxP+ht0gpqI8Ema91FbR6rvtx8z0bYe4xTvqGN4tkaK0A78wCcKJ1mXOhJuamrjiiitwOp0kJCRw3XXX4fV6D7vMuHHjkCSp3c/PfvazDo9t5PBhZAbLiIYCbW2RgJducuNJWZBdVVXmL1jInQ8+zgOPP015eTnbd+zi2vueZEmkCNfkWSSecRXhcASzKxlj8Tjuf+qftOaPxSM7wZ6CtfdYDL0noEZDaJEQir8Zxd+C4nejoSHbEgiUfo3i96BGw+jtSThHXECoZhetq9/FX/Il9sFT0VkTsBQMwd53HFFfM+G63SjBVjRNIbB7LZLeiNyWFDWUgAdNCSOndMe3aQG+HV9i7X0mSBD1t6CTJXQWByHJRCQQ+/8y6nWgtB8vrUaCuGzmdpePb7xiBlrJonbDk4J7N3PhuFPni9ixuPqiaQS/W02qcR+n9+127CvPPw0Atz/MlkoPM4bkHPs6BaEDdJkz4SuuuILq6moWLFhAJBLh2muv5YYbbuC111477HLXX389Dz747SxFVqu1w2OTJIlnH76LB+c+z87drUhIDMpO4N4H7+rwbcWbqqrMuncOm9UsrJkjUSMhvvjDK1gCtegGX4JWVYskxRKZdeA0KtYuptuIswmYk2lu9SGZYmcfUUXBUDQKz4LnMWb3iV1GllSQ9fi2LsHgSEZDwr9tKeaCIWiqgtJSi97qQmdxEPW3Ety9BmvRyP0TbKhYikbR8OHjyBsWoLMnoCoKjv5no7Q2gs4Amkpw7yaQZVqrS0mfdBMNX/0brWgkWqAVncGMWaeiRsNIJjvRoB+DxU52qou6fWvRrGegynpkNYLNAENynO2GHGVlZfHEndfyl5fepN4fxaqHC88ayYXnTInX29WlDBzQj1unVfHqx//Dgw2TGmBCryx+ecP1x75yc2wc9dflzciSxOS+h+5kKAgnUpdIwtu2beOTTz5h9erVDBsWO6t46qmnmDZtGo8//jhZWVmHXNZqtR62V29Hcblc/On+Xx/37cTb4mVfsFXJwJbdAwCd0Yyuz3g2v/ccfYZK6GWJKBoSErLRTDgSmwZSp0ZQNZCQiCpRIuEQgT3riLjr8Hz1JvZBU0DW4d+1ElQF+8Cp+4s/1OHfsYJoQxmGnL44+o5HU8J4NizAV/IVWiSEOW8ASrAV77qPMKUX4hg0Fd/OFUTc1fi2L8WQlI3ekYLibSLirsE5/CIMCenULvw7ScPPJ+KuwZDdG9XXSF5+Ns0tHoLVWyDVjKFuPbdOH43fH+DNZRtpdeRjUgNkBqp45N5ZB7w+xT2L+Ouc357gd+Xkcf7USUyfPBG3243dbu/wKTfXV7gZkp9Aok1M5Sl0Dl0iCS9fvpyEhIS2BAwwceJEZFlm5cqVXHjhhYdc9l//+hevvvoqGRkZTJ8+nXvvvfewZ8OhUIhQKNT2t8fj6ZidOEks/GoN5qwDL68qqkY0EiElKYG9tU1gcYCmIWkK0bI1DM93sS0aJKK3EvQ04920EHO3gSRPuRk14MW76VPM3YYgm51o+2e40lQF2WjFWjQCuc9YWla9jRYJIpmsuAZPI5BeSMtXbxKu3YMa8WFIzsMxaBqSwYC9z5mEancTKF1JqHYPWjQCOh3WnmPQ2RIxOJLROVPRqrYQbKhEC7WSlFeMDpXEho387u7rGT54ADqdjpfe+C97692c2TOVPj3S6N6tGwO/U1NZ6DiyLB/12ODDHb+KqrG12sMtZxUdc4yC0FG6RBKuqak5oKybXq8nKSmJmpqaQy53+eWXk5+fT1ZWFhs3buSuu+6ipKSE//73v4dcZs6cOTzwwAMdFvvJJjXRRcTditHWfuanZLuJUFUJ9vz+5KQlUt/kpnXblwxMUvjVFeMZ2K8Pt947hw9X1hD2tWIfOAXZbEMNejGk5pFwxpX4tn+BY+DZtK79KDa9pKwDVUU2WdFZXciyDt+WReiTc4i21OHfspikCdcTLN+AfeAkvBs+RTKaYpfD7YlENu0m6azraV0/H+fQ6YC0fxpMD3pZQmeykZqVQ49ePTHVb6eX1UyKrplr7vkp2dnZVFVVc909fybcfSzG5N5s93lY+dFSnv/d8GNOwE1NTdTU1JCfn9+uIIRwbA53/JY1+ghEFEZ174DJPwShg8Q1Cc+ePZtHH330sM/Ztm3bUa//hhtuaPu9f//+ZGZmMmHCBEpLSyksPHBIEcDdd9/N7bff3va3x+MhNzf3qGM42Vx1yQV8cvef0PpOaUtEYa+bs4YWM6A4nQ+++JRoVKKfCa689XymThzftuydP72cLX98nZItDchGM5KmorO6ULyN6OwpsdKG0QiaEkGTpFgd4ZAfdHoiTVXY8/tjze9Pa+VOrJk9iFRuwZScQ7BiI1o0gjmnD6GKTZiye6OFA0gGE5LegM6WRLhxL8aUfCS9MdbxS5aw+GuYPW0aI0aMOOjMUk/87VXU3pMx6mMzhBltTtTek3nib6/yx/t/dVSvn6Io3PfYk6yt9BM0J2EL1jOhXw6zbrxWnFl3gMMdvztqWzHqZPplu+IVniAcIK5J+I477uCaa6457HO6d+9ORkbGAZNeRKNRmpqaftD93pEjRwKxqjOHSsImkwmTSQzgP5SkpCQeunEmc19+mwbVil4JMSjLzgN3/QKz2cz5UyawcvUa0tNSGdC/X7tlPa1eLGkFOOub0Jlt+HetQvE2gd6IGmgl2lJLpLECxe/Bu24+9v4TkS1OQlXbidTvIWnINMKhELLeQKRqKzp/E1FvExKx+Z0NGT1oXfMBkeYqrL1OQwsHUHwtmLsNwrvxf2ghP8asniitjdSs+i/pRQN59qtq3l7yHI/PvoWcnOx28Va2hJCT2lfWkfUG9rUEj/r1e/JvL7Mqmoe5VzrfDJD5qGw7hfM/5bxpk496vULM4Y7f0jovfbKcmPQHziMtCPES1yScmppKamrq9z5v9OjRuN1u1qxZw9ChQwH4/PPPUVW1LbEeifXr1wOQmZl5VPEKMcOHDOLVwQPxeDyYzea2D73nX36dF95ZQL0fQCMh6uY/zz1Kz56xKQcHDxqI85WPSEnPpmrTZ+hSC7D2GI2mRtGiEXzblxHatSpWwtBkwb3yP2jeRvSudPSp3fBW78S//UsMqQUYE7MxZPTEs/pdHEOm49+2BPugqch6I8acvgR2riRUU4o5vwpjagGOodMJVW6jecELhFtqyT73lyQmOrCnpNCqRLnrsWd59S8Ptzsbteih9SD7f6TVjQ5m5fa9mAvbT8FoyS7mo2VLRBI+zsoa/Uzonfb9TxSEE6hLjBPu3bs3U6ZM4frrr2fVqlV8+eWX3HLLLVx66aVtPaMrKyspLi5m1arYLEalpaU89NBDrFmzhrKyMt5//32uuuoqxo4dy4ABA+K5OycFSZJwuVxtCXjj5i385a2FNCX2wTbyEmwjf0Rw2JWce8Ns/P5YKUSz2cxPzhlDsjGK4q5E3V9sIbhtCXKgmYQBE9GbLVjTC0joNx6zK5XEIedg7TmGaGMl/h0rcQw9D709kWhDGeaB07AXDMS77iMUXwuNH88lXF+GzmjGUjgcQ0oOoepd+LYtJVi2nmhTJTpHMpZug9FkPY3uVjRNQ9bpqZWTqahoX4no4rNPI1i+oV1bsHwDF00cc9SvW0Q5+MxZEeWoVykcgVBEpcodoF+WuBQtdC5domMWxHo533LLLUyYMAFZlpkxYwZPPvnt3L2RSISSkpK2D3yj0chnn33G3Llz8fl85ObmMmPGDO6555547cJJ7fV35+OVLNhyvr0ErTNZCfeayMtvvM1NP7kSgAvPmcLgvsWMmnE9hsR0nL1Gofoa8W9dgrVoOBaTEbxVeDbsI/m0S1EjIYL+VhLGXol/x3JkvR5rj5EovmZ8O1aQMHgyWmsdhsLRaEYrzYvnoakKensSensK9v4TUAOtKL5mDMl5SJKEf8dysDiJhoOUV1aTn52JIhna9aoFmHr2eFpavby96H+0qkYccpjLx8eqYx2t7ik2toRD6IzfXjINeRoYWHToYXbCsat0B9CA3pkHlpIUhHjqMkk4KSnpsBNzdOvWrd38vLm5uSxZsuREhCYAPr8fyZJwQLvemUpJWWm7tg8WLCZp9EzUhNzY5V9XOoYRFxHe+DHjCl2cO24y9762DCkaIBwMIMl6JJ0eS+FwAju+xD5gEjprIlo0FFte05DMdlAUJEnCt3UJjiHnxjYm60GSkG0JoCrobIko3sb9DxkISzrcHg9poWqKig4cunLpRdP50YXnEg6HMRqNx9x56u5br+OG3/yBppQBWJKzCdXuJje0h5/dee8xrVc4vH3NfiRkMVWl0Ol0icvRQud3+flTUJr2tmvTNA3J10ifovY9jzfuriKnoAiCLahq7DqsBqh+N3Mf+g1njj2DvNxsinIzsVkt6HQ6JDQkWd5fyjBGliSUPV9jMlsg5CdUsRFZb8Da+3T8JV8QqtpG1F2FzpaI3p6MzpFCqHIbmhLFt2khcthH1OemYdkb/PonMw5ZwUiSJEwmU4f0Xk5KSuL1px7hl6NTOE3axm+n9eQff3pQdAY8zqrcQXKTrFiMolOW0Ll0mTNhoWNFo1HKyspwuVxH1Dnu+4waOYJRuS/z9Z61mPL6xybaCHro5t3KFTPmtHuuSSdhNBgoyM6goamZSFTBZDSQ3bt72yQN6VIrbk3DbNATiKiomkZg92oMidmoIT9qoIUErZUrhiTj9UjM37GZ5G69ieQXUV+yhtRh51LtbcBf+jXG1Ab0zjTCdaUovhZ0rjR6DxmJu3w7aBqXTRvDqGFDj/k1OFIGg4Hzz5nC+Sdsi4IG9EwXZ8FC5yOS8Cnog08+48UPFtNiSscQ8VFoj/LYb2dhtx/bh9RbLz7N8y/9kzc++RC92czgohx+9Zt7DpiMYsbksTzy7los3QaTkRb7AhBsquL0ft8WWP/dL67lV489j93VE48vgGfn10hKBEtGdyI7l9HD0MwLzz1Ejx498Pv9lPzifrRu3ZFlPQ4pwt6v/wuKgq3/6Sh+N4qnDmNKN+RcB/7tX1AXgKTCoTj3fcUNV/7omPZb6BoKxaVooROSNFHo9LA8Hg8ul4uWlpZ2k/V3VWVl5Vz/2D8x9x7X1hYJ+OjlXcdfHpx9wuJ48bW3eO/LzXiNSZjCbkYWJHPv7T9vd0k4Go2yeNkX1NQ14vP72bClBINB5rrLZjJgQH8Alny5guf//TF7G1up3luGNSGN/Kw0BuQlMvfVD0ie+otYaTxNA1lGDflp/ORpUnqPgKYKnrv7eqZNmXTC9ls4sb45fnNn/ZtHLxvJZSPy4h2SILQjzoRPMa/85wMMhaPbtRksNnaUh/H7/celytTB/OTymfz44vOprq4mJSUFRVHYunUrWVlZbZek9Xo9E8ePw+1288Kr/0a2OklyWklPj4313L17D4+8+immPpNIKIKEkRCoL2d8Zojbb/oJc195h0h9Ocb0b86wJQJ71mJwptLvjGmgaazZsl0k4VNEbuKJ+d8WhB9CJOFTjC8YQnYYDmhXZSPBYPCEJWGIDSPLy8vjsaf/xpJt1fis6ViCjQzNtvLQXb9ElmXq6+v56T2PEyw4E2NqH0pDflbcM5e5v76Ol9/6AH2P09ut05Kaz7LN/+M2TcNqsxNprCBUuRV0RlDCGFIL0DmT0BlMaKpC0B85RHTCySbDZf7+JwnCCSaS8Clm2pmjWP3+Fmx5fdraNE0jRec/6so1AHv37uOPL/yTak8Ei15j2mmDufSi8753ubfe+4jPqo2Ye0/gm4v9q5qqefofr/CL66/hyRdfI9LzbIzG2Aeo3mRF6zeVB+e+QFNzM4GCVBwZ3dqtM6DIqKpKklWHL7s3GMxo4SB6Vxrhmp1YUmNjcgPlG7jox+MRTg1pTtEDXeh8xBClU8zY08cw3NmCr2w9qhIl2NKAuvlj7rx25lGvs7m5mZ89+DSlyaMJFp1Fc7cJvLi6nn+8+u/vXXbBig2YM9uPzzUnZbJiazkA+5p86IzfnsFomsbe6lqW7qinJm0ku0t3s/V/r6FGI22Pp1kldDodPfsOxlC5HqVyK1rATevKt4nW7sScVkBg53LOyjUwdMigo95voWtxmMQ5h9D5iP/KU4wkSfzhnjtZu24DH36+jMy8FC79xd3H1OnsxdffJlo4FqPu238nU1YvPlr+P669/OJDjr+Fw0zjuH84sFUfK84g7V9HfUMjQdmM3mInq6AnYYOdYLiAstULyB96FtEdS7nlhlh96RSbnn6TLyPY0kDAXY+l1wwadm8mo3YZTz9yD4WF3Q+6beHkJKpUCZ2RSMKnIEmSGDpkUIedBe6rd2NMKj6g3Y+JQCBw2Hq5/Qsy+V9zEybnt5fCo6EARekOAK68YDL3/PNzLD1incl8oTDhur2kZHdDlmW65WTR1OzGU1LBCG07191zfVvpuusunsov//gizWE9qs6ATllPjjXKvCfnkJ6e3iH7LgiCcCxEEhaOWVF2Gltq2ydSAIccwmKxHHI5n89HXUMjpZ++h9ZtBM7sQhLlEGkt25g95zcAjBo+lNubW/jnxwtwhyC0o4SkwiFk9IkVUZBlmZTkJLr37snv7ryl3fpbPK2YU/NxJvZA0TT0MuiqVhMIHH0pQkEQhI4k7gkLx+yqH12IteILoqEAELsvG9izlplnjTzkpWhN07j13kfZYOpP75l3kpGSTKh0NcbSxfzryUdwuVwoisKCzxdT19DIo7dfx0fP3M9tl59DUk53otEo+6pqKK2oomTbJjx1e4lGo+228cb8pST1PZ3U5ATSk1xkZ2RgHjCF5179z3F/TQRBEI6EOBMWjpnD4eDFObOZ+7d/Ul7hxaKXuOSCMzlr7GmHXGbT5i2US2lYrbHLzsmF/Uku7E9gz1pKduzE5XTyy4efpDmxNzp7Iq+ueIMzu9m4+xc3svPBP/Lu4i+QsvuiNFVhCDQQGDSR38x5gsfu/VXbNupaw+yrqCIi6QEJndpMWpKTJjEsSRCETkIkYaFDJCUl8eBdvzzi5+/cUw6OAwusq44Mdu0u58OlqwgWT8X2TWcv5xgWlW/kzJWrOWvMUJbXb0DFi71nMbbUbAA2lJTS0NBASkoKqqqyc9tm9GeMQjYYkYh1yqmurWNYwjHvriAIQocQl6OFuBg2sB9yU/kB7brmMvr0KmSvV0PWtf+OaM3tx9y//4vfPf0qlVVV1FaU0lz5bZnEoDmZqqoqduwq5bzrbsNnSaN5w2d4G6oItDQQ8jbj27aMtETHcd8/QRCEIyHOhIW4yM/PZ1i6zOq6Mixp3QAI1O5hRIaevLw8JA4cuuTet4P6VhNZp11OqzuAzmihpaoEedNXZPUfgy1QQ35+PtfOnkOw+Bwsxt24Ny4kuv1LZJ0BSQlhjAZADFURBKGTEElYiJtH7r6NN95+n8VrlyAhMW5YX3504RXIskxhooHd4WC7iTr2rVlI97Ovxma3YXJ7CCt6TFm9aNrwEYlJJUzrl0PJjp0027tjs1jw71pNwtgrkWQdWiSMXlLRfM34/Z447rUgCMK3RBIW4kaWZS6feQGXz7zggMceuvPn/PJ3f2KfnIpicmH1lJOb7MC2v9xifnYG9Y3N+IOtGMMt/GJsDtOnTmLhosXUur1oVKHKelA1NFSQQA35SU1NpcpTd4L3VBAE4eBEEhY6pcTERF6e+xAlJTuoratn8KCLeOKFV1gR9KM3W5EkmbSUZDRVJVfuwXnTJgPw2Zdf46ncjSOjD5Iso6GBoqAEWpFR8fl9mM2iK4QgCJ1Dl/k0euSRRxgzZgxWq5WEhIQjWkbTNO677z4yMzOxWCxMnDiRnTt3Ht9AhQ4jSRLFxb04c+zpOJ1OfnHdFZh3fUaotRmI1UFWNs9n1k8uAyAYDLKp2ktWQS+8GxegRKNEmipRIwFkgwmdM5W67WvRhX3x3C1BEIQ2XSYJh8NhZs6cyU033XTEyzz22GM8+eSTPPfcc6xcuRKbzcbkyZMJBsWMSV1RYmIiL//xHqYlN1DQsJwzjLt5+ZHb6NUjVgDC6/US0VlJLx5Gn1HjCVfvwLtpIb4tiwiWb8C75kMMdheLNxz9FzG/309JSQkej7ivLAjCsesyl6MfeOABAObNm3dEz9c0jblz53LPPfdw/vnnA/DKK6+Qnp7Ou+++y6WXXnq8Qu3Svlq5inf+txRJkpgx5UxGDh8W75DacTqdzLrx2oM+lpycTILkIwAY7QkYkzJxnXElWjSMHAlgtCcgSTLRVVt/8HY1TeMvL8zjs00V+IwpWMLNDM93cf8dNx+2QIUgCMLhnLSfHnv27KGmpoaJEye2tblcLkaOHMny5csPuVwoFMLj8bT7OVU89vTfuOffq9jmGsFW53B+89pXzH3+pXiHdcQkSeKnF0wkuG0RSiSEHGwl0lSFd9NCvDuW07LpcwI1pfTJ/uF1k9/56BM+3KMi9ZqAvWAgul7jWB5I59l//PM47IlwtE7l41fomk7aJFxTUwNwQLWc9PT0tscOZs6cObhcrrafbyrynOxqa2v5bHsDtm6DkGQZSZaxdh/CJxsraWxsjHd4R2zSWWN5/s4fMzSymWEFKfg2fIKt+AxsA6agy+5L6+p3eOy+X33/ir7jky/WYsnu1a7NlJjFl1vLOihyoSOcqsev0HXFNQnPnj0bSZIO+7N9+/YTGtPdd99NS0tL28/evXtP6PbjZenyVSipPQ5oDyV1Z/nqNXGI6Oh1717AQ3f9kpyCQkZecgtOg4Yh0Eh6goOhl93Oq+989IPX+U194yNtF+LjVD1+ha4rrveE77jjDq655prDPqd796MrvJ6RkQHEzvAyMzPb2mtraxk0aNAhlzOZTJhMpqPaZleWnZGGtnwjJGW0a5cCbrLS+8QpqmNT71cxGAx0y8tp115e9cMvUfbrlsb/3M2YHIltbUo4SEGy9ZjjFDrOqXr8Cl1XXJNwamoqqampx2XdBQUFZGRksHDhwrak6/F4WLly5Q/qYX2qGDViOKn/fAdvtAhZbwBAiYRID+5j8KCBcY4uZv3GTSz8YiUFOZmcO+VsjEbjYZ9v00Prd9o0VcFu/OEXgH5+7Y/ZePfD7G0twprRnUDDPhLrN3D372f/4HUJgiB8o8vcE66oqGD9+vVUVFSgKArr169n/fr1eL3etucUFxfzzjvvALFOOrNmzeLhhx/m/fffZ9OmTVx11VVkZWVxwQUXxGkvOi9ZlnnyvtvIrf2CyNaFRLctJL9+OU8/cAdSnOdaVlWVO373KHe+vJjP/Pk887WHS269h4qKw19qPOe0QQSrStq1hXZ8wU8uOe8Hx2CxWHjpzw9x14RuDI9s5ObhCbz+1CMkJf3wTl6CIAjf6DJDlO677z5efvnltr8HDx4MwKJFixg3bhwAJSUltLS0tD3n17/+NT6fjxtuuAG3283pp5/OJ598gtlsRjhQeno6z/3h3rZx1J3ldfpw/gLWhdKxdYuNB9an5hJJyuThZ+bxwqP3HnK5K2ZeQCT6Hz74Yj6eQJR0l5nbL51M/769jyoOWZaZPHE8kyeOP6rlBUEQvqvLJOF58+Z97xhhTWtfeUeSJB588EEefPDB4xjZyaezJN9vfLZyPdbMMe3aZJ2evZ4o0WgUvf7g/8aaptHc4iGKHslmJxQN4BZDVgRB6ES6TBIWTl1GvQyadkAJQhn1sBNlPP/y67y9tZWGWi9R1YPJbOEvH6wmOz2NEcOGHO+wBUEQvleXuScsnFzKy8t55u+v8Mbb7+H3+w/73EvPnUhgT/thUmF/K/2yXYdNwu989iXlZXvQepyJoe9kIlmDKS2r4O9vvNsRuyB0IaKEtNBZiSQsnHCPP/t3rnv8Td5vSOFvm0LM/OWDbNy85ZDPHzZkMJcPy4btn+Ep30Jw51cUtazl/tt/ftjt7NpXi23AZGR9rBe1zuLAMmAK67eKIh6nGpGDhc5KXI4WTqhNm7cwv8SDtWfsHq/R5kRLyuT3z7/G608+fMie2Nf9+BIuu8jPrl27SElJISsr63u3pTPbDvj0lQwmDGbLMe+H0LXoZJGGhc5JnAkLJ9Tb8z/HXND+fqwkSTTqkqiurj7sslarlQEDBhxRAgbolZsGgRZUVQFAVSLogi0M6VN0dMELXZhIwkLnJJKwcEKZTQbUaPiAdkmJfO/kGz/UpZNPI1Ny49JFMCtekk0aWf7d3Hj5RR26HaHzE/eEhc5KJGHhhLrq4vOIlq5s16ZEwuSagqSkpHTotq64+AKuHZZGQcs6Mt2bKGpZx70/Ppt+fYo7dDtC56cTn3RCJyXuCQsnVFZWFj8/dzgvffQpbms2+qifbK2ROb/9xXHZ3lU/uoirfiTOfE914kRY6KxEEhZOuAvPmcI5Z5/F1q1bcTqdR12kQxCOlCyuRwudlEjCwnGzafMW3vroMwx6HZedP5WiosK2x4xG42GrWQlCRxJJWOisRBIWjou5z8/jg61NmAuGoKkKi5/4N1eP7SUuDQtxIXKw0FmJ7gpCh6upqeHjjVVYi0Yg6/ToDCasxWfw5pIN7apeCcKJIs6Ehc5KJGGhw326+Au0zD4HtHudBaxZu/7EBySc8kQKFjorkYSFDpeWkoziP7BakS7iIykx4cQHJAiC0EmJJCx0uAlnno6zYQuaqra1qdEIaaF99OvXN46RCYIgdC6iY5bQ4QwGA4/fdSO/e+ol6hQ7Eio5phC/v3fWIeeGPl7q6ur422tvU+/20jMvg2sunYHVaj2hMQjxJ24JC52VSMLCcVFU2J1X5z5EfX09Op2OpKSkEx7D1u07uOPP89CKzsSQbGNLVQOf3/EALz76W5xO5wmPR4gnkYWFzklcjhaOq9TU1LgkYIC5L72Jru8UDBYbAGZXCq35Z/LXea/HJR5BEITvEklYOGnVehUkuf2/uNHmZFd1U5wiEuJFXI4WOqsuk4QfeeQRxowZg9VqJSEh4YiWueaaa5Akqd3PlClTjm+gQqdhMRzYpqkqNkOX+bcXOojIwUJn1WU+jcLhMDNnzuSmm276QctNmTKF6urqtp/XXxeXIk8VE4f1JlS7u11baNcKrrpIfBETBKFz6DIdsx544AEA5s2b94OWM5lMZGRkHIeIhM7uuisuIfTSv1i49lP8moEEXYSfnXsmQwYNjHdowgkmLkcLnVWXScJHa/HixaSlpZGYmMhZZ53Fww8/THJycrzDEk4ASZK4+Sc/5qZrVEKhEGaz+YQPkRI6C/G+C53TSZ2Ep0yZwkUXXURBQQGlpaX85je/YerUqSxfvhydTnfQZUKhEKFQqO1vj+fAmZ+ErkWWZSwWS7zDEE6AQx2/4ruX0FnF9Z7w7NmzD+g49d2f7du3H/X6L730Us477zz69+/PBRdcwIcffsjq1atZvHjxIZeZM2cOLper7Sc3N/eoty8Iwol1qONX5GChs5I0TdPitfH6+noaGxsP+5zu3btjNBrb/p43bx6zZs3C7XYf1TZTU1N5+OGHufHGGw/6+MG+Sefm5tLS0iImeBCETu5Qx++I+99n5e+mxzEyQTi4uF6OTk1NJTU19YRtb9++fTQ2NpKZmXnI55hMJkwm0wmLSRCEjiOOX6Gr6TJDlCoqKli/fj0VFRUoisL69etZv359u/q0xcXFvPPOOwB4vV5+9atfsWLFCsrKyli4cCHnn38+RUVFTJ48OV67IQhCHIh7wkJn1WU6Zt133328/PLLbX8PHjwYgEWLFjFu3DgASkpKaGlpAUCn07Fx40Zefvll3G43WVlZTJo0iYceekh8UxYEQRA6hbjeE+4KPB4PLpdL3BMWhC7om+N35O/eZ8X94p6w0Pl0mcvRgiAIgnCyEUlYEISTnrgnLHRWIgkLgiAIQpyIJCwIwknvwkE58Q5BEA5KJGFBEE56N57ZPd4hCMJBiSQsCMJJTxTuEDorkYQFQRAEIU5EEhYEQRCEOBFJWBAEQRDiRCRhQRAEQYgTkYQFQRAEIU5EEhYEQRCEOBFJWBAEQRDiRCRhQRAEQYgTkYQFQRAEIU5EEhYEQRCEOBFJWBAEQRDiRCRhQRAEQYgTkYQFQRAEIU66RBIuKyvjuuuuo6CgAIvFQmFhIffffz/hcPiwywWDQW6++WaSk5Ox2+3MmDGD2traExS1IAiCIBxel0jC27dvR1VVnn/+ebZs2cITTzzBc889x29+85vDLnfbbbfxwQcf8NZbb7FkyRKqqqq46KKLTlDUgiAIgnB4kqZpWryDOBp//OMf+etf/8ru3bsP+nhLSwupqam89tprXHzxxUAsmffu3Zvly5czatSoI9qOx+PB5XLR0tKC0+nssPgFQTj+xPErdHZd4kz4YFpaWkhKSjrk42vWrCESiTBx4sS2tuLiYvLy8li+fPmJCFEQBEEQDksf7wCOxq5du3jqqad4/PHHD/mcmpoajEYjCQkJ7drT09Opqak55HKhUIhQKNT2d0tLCxD7Ri0IQvw5HA4kSTroY989fsVxK3R2cU3Cs2fP5tFHHz3sc7Zt20ZxcXHb35WVlUyZMoWZM2dy/fXXd3hMc+bM4YEHHjigPTc3t8O3JQjCD1dXV0dqaupBHzvU8SsInVVc7wnX19fT2Nh42Od0794do9EIQFVVFePGjWPUqFHMmzcPWT701fTPP/+cCRMm0Nzc3O5sOD8/n1mzZnHbbbcddLnvfpN2u93k5+dTUVGBy+X6AXvXdXg8HnJzc9m7d+9Jed/sZN8/OLX20e12H/JY/O7xq2ka4XCYlJSUQ549C0I8xfVMODU19ZDfaL+rsrKS8ePHM3ToUF566aXDJmCAoUOHYjAYWLhwITNmzACgpKSEiooKRo8efcjlTCYTJpPpgHaXy3XSfrh9w+l0ntT7eLLvH5wa+3i4ZHqo41cQOqsu0TGrsrKScePGkZeXx+OPP059fT01NTXt7u1WVlZSXFzMqlWrgFjSvO6667j99ttZtGgRa9as4dprr2X06NFH3DNaEARBEI6nLtExa8GCBezatYtdu3aRk5PT7rFvrqZHIhFKSkrw+/1tjz3xxBPIssyMGTMIhUJMnjyZZ5999oTGLgiCIAiH0iWS8DXXXMM111xz2Od069aN797eNpvNPPPMMzzzzDNHvW2TycT9999/Ul/iOtn38WTfPxD7KAhdVZedrEMQBEEQuroucU9YEARBEE5GIgkLgiAIQpyIJCwIgiAIcSKS8BE62nKKXc0jjzzCmDFjsFqtB0z52VU988wzdOvWDbPZzMiRI9uGsZ0Mli5dyvTp08nKykKSJN599914h9Th5syZw/Dhw3E4HKSlpXHBBRdQUlIS77AEoUOIJHyEjracYlcTDoeZOXMmN910U7xD6RBvvvkmt99+O/fffz9r165l4MCBTJ48mbq6uniH1iF8Ph8DBw48phEAnd2SJUu4+eabWbFiBQsWLCASiTBp0iR8Pl+8QxOEYyZ6Rx+D7yun2JXNmzePWbNm4Xa74x3KMRk5ciTDhw/n6aefBkBVVXJzc7n11luZPXt2nKPrWJIk8c4773DBBRfEO5Tjqr6+nrS0NJYsWcLYsWPjHY4gHBNxJnwMvq+cohBf4XCYNWvWtCtnKcsyEydOFOUsu7BvKpuJY084GYgkfJS+Kad44403xjsU4RAaGhpQFIX09PR27d9XzlLovFRVZdasWZx22mn069cv3uEIwjE75ZPw7NmzkSTpsD/bt29vt8zxLqfY0Y5mHwWhM7r55pvZvHkzb7zxRrxDEYQO0SWmrTye7rjjju+dErN79+5tv1dVVTF+/HjGjBnDCy+8cJyj6xg/dB9PFikpKeh0Ompra9u119bWkpGREaeohKN1yy238OGHH7J06dID5pAXhK7qlE/Cx7OcYmfxQ/bxZGI0Ghk6dCgLFy5s66ykqioLFy7klltuiW9wwhHTNI1bb72Vd955h8WLF1NQUBDvkAShw5zySfhIfVNOMT8/v62c4jdOprOqiooKmpqaqKioQFEU1q9fD0BRURF2uz2+wR2F22+/nauvvpphw4YxYsQI5s6di8/n49prr413aB3C6/Wya9eutr/37NnD+vXrSUpKIi8vL46RdZybb76Z1157jffeew+Hw9F2P9/lcmGxWOIcnSAcI004Ii+99JIGHPTnZHL11VcfdB8XLVoU79CO2lNPPaXl5eVpRqNRGzFihLZixYp4h9RhFi1adND36+qrr453aB3mUMfdSy+9FO/QBOGYiXHCgiAIghAnXeOmpiAIgiCchEQSFgRBEIQ4EUlYEARBEOJEJGFBEARBiBORhAVBEAQhTkQSFgRBEIQ4EUlYEARBEOJEJGFBEARBiBORhAVBEAQhTkQSFk5qS5cuZfr06WRlZSFJEu+++268QxIEQWgjkrBwUvP5fAwcOJBnnnkm3qEIgiAcQFRREk5qU6dOZerUqfEOQxAE4aDEmbAgCIIgxIlIwoIgCIIQJyIJC4IgCEKciCQsCIIgCHEikrAgCIIgxInoHS2c1LxeL7t27Wr7e8+ePaxfv56kpCTy8vLiGJkgCAJImqZp8Q5CEI6XxYsXM378+APar776aubNm3fiAxIEQfh/RBIWBEEQhDgR94QFQRAEIU5EEhYEQRCEOBFJWBAEQRDiRCRhQRAEQYgTkYQFQRAEIU5EEhYEQRCEOBFJWBAEQRDiRCRhQRAEQYgTkYQFQRAEIU5EEhYEQRCEOBFJWBAEQRDiRCRhQRAEQYiT/wNBc+wDd2eABQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=2e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=4e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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or6ZpXHPNNcyYMSNospVDhw5x0UUX4Xa7WbBgAUlJSefuAqTzRq2+JxwVFUX//v2DXmazGfi7hXq0lStXAgTd7zyZhx56CCEE48ePx+l0Bm3LzMzkvvvuIykpiZtvvvlfXs3xtWvXjvr16/PSSy9RVFQUtO1UWhaDBg3C7/fz6quvBqW/+OKLKIrCwIEDz2RxT+qHH34Ayv6IgrLZyLKysrj22msZMWJEhdeoUaNYuHAh2dnZ57ScO3fuDJrZS9M0Vq1adVqfH6vVyj333MO2bdt48MEHK2z/8ccfmT59OgMGDKBLly5npNyVGTZsGKqq8vjjj1cYRX2qn6GVK1eyfPnyQJrdbuftt98mLS3tlLq5z6TykeTln6HyVvB9991X4fMzcuRIevfuHTS2wG63M2jQIA4cOMBPP/1E48aNz2n5pfNHrW4Jn4jP56Nbt27cdttt1KtXj5UrV/Lee+9x9dVXV3j+80R69erFc889x1133UXr1q0ZP348SUlJbN26lXfeeQdN0/jpp59O65inS1VV3njjDYYMGUJGRgbXXnttoAybNm1i7ty5J9x/yJAh9O3blwcffJCsrCzatGnDvHnz+O6775g8efJpBZXTtX379kBXs8Ph4I8//uDDDz+kUaNGXHPNNUDZL1CdThfoVjzW0KFDefDBB/n8888Dj1R9/PHH7NmzJxAkFy9ezJNPPgnANddcc0ZaZuW3GW644QYsFgszZ85k06ZNp33f8IEHHmDt2rVMmzaN5cuXM3z4cCwWC0uWLOGTTz6hefPmfPjhh/+6vCfSqFEjHnzwQZ544gl69uzJ5Zdfjslk4s8//yQ5ObnSZ5iPvYbPPvuMgQMHcvvttxMdHc2HH35IZmYm33zzzb++BXIiv//+Oy6XC4DDhw/z/fff89tvvzF69OjAI4effvopGRkZFe6Xlxs6dCiTJk1izZo1tGvXjquuuoqVK1dy3XXXsWXLlqBng0NDQ49760CSTltVDcuuSuPGjRMWi0XcfffdIiUlRZjNZtGkSRPxf//3f/94BqnFixeLSy+9VMTGxgqDwSDq1asnbrzxRpGVlVXp+csfkTpa7969RYsWLSqklz8OU+7YR5TKLVmyRFx44YUiLCxMhISEiNatWwc9NnS88wpR9jjJnXfeKZKTk4XBYBCNGzcWzz77bIVpITnOLFepqali3LhxlR77eDjm0RKdTifq1q0rbrrpJpGXlyeEEMLj8YiYmBjRs2fPEx6rfv36om3btoH3vXv3Pu4jUMfWW2XlOpVHlDp06CAuv/xyERsbK8LCwkTbtm3F+++/f9ypNE/E7/eLDz74QHTv3l2Eh4cLs9ksWrRoIR577LFKP5PHfiaOLvuxP5/MzEwBiGeffTaQduwjSuXef/990bZtW2EymURUVJTo3bu3mD9//knPK4QQu3btEiNGjBCRkZHCbDaLTp06idmzZwflOd4sV+VlPFm9V3aso19Go1E0a9ZMPPXUU8Lj8QghhFi9erUAxMMPP3zcY2VlZQlA3HnnnYHrPN7nJzU19ZTLKEknowhxhkZC1CDjx4/n66+/DtwvkqTTlZaWRsuWLStMoCFJknQ6avU9YUmSJEmqzs7be8InU1xcXGGg1bFONNL6fOX3+wNzKB9PaGgooaGh56hEVaegoAC/33/c7Uaj8bSmuDxfOJ1OiouLT5gnOjo6aLIPSaqpZBA+jjvuuOOkg2HOw578k9q3b99x59Eu98gjj5zx9X2ro44dO1aY6ORovXv3rrAIh1Q2qcbJHjdbuHAhffr0OTcFkqSz6Ly8J3wqNm/efNJHXv7JM7m1ncvlYsmSJSfMc7xnc2ubpUuXnrA3JSoqivbt25/DEtUMOTk5bNq06YR52rdvf1afOJCkc0UGYUmSpCo0fvx4PvzwQ6ZOncoDDzwQSJ81axaXXXaZ7HGr5eTALEmSpCpmNpuZNm3aP5o7W6rZZBCWJEk6Yu36DUz4v6e48q4nuHXKk6xdv+GcnLd///4kJiaecFKUb775hhYtWmAymUhLS+P5558P2p6WlsbTTz/NddddR1hYGPXq1ePtt98ObPd4PEycOJGkpCTMZjOpqamB81133XUVpkX1er3Ex8fz3nvvAWWLpdx+++3cd999REdHk5iYWGFsx969e7n00ksJDQ0lPDyckSNHkpeXF9j+6KOPkpGRwccff0xaWhoRERGMHj06sEjJRx99RExMDG63O+i4w4YNC0zeU36M999/n3r16hEaGsqECRPw+/0888wzJCYmEh8fz1NPPXVaZRs/fnyFSVgmT54cNPbg66+/plWrVlgsFmJiYujfvz92u73Sn9epkkFYkiSJsgB8/5sz2ZvQk9L6fdmX2Iv735x5TgKxTqfj6aef5pVXXmH//v0Vtq9evZqRI0cyevRoNmzYwKOPPsrDDz/M9OnTg/I9//zzdOjQgbVr1zJhwgRuvfXWwPS8//vf//j+++/58ssv2bZtG59++ilpaWlA2bKqc+bMIScnJ3Cs2bNn43A4GDVqVCDtww8/JCQkhBUrVvDMM8/w+OOPB+bn1zSNSy+9lMOHD/Pbb78xf/58du/eHbQ/lK3YNWvWLGbPns3s2bP57bff+O9//wvAFVdcgd/v5/vvvw/kz8/P58cff+S6664LOsbPP//MnDlz+Oyzz3jvvfcYPHgw+/fv57fffmPatGk89NBDrFix4rTKdiI5OTlceeWVgVnUFi1axOWXX/7vbxdU2TQhkiSdNpfLJa699lqRkpIiwsLCROfOncWyZcuquli1wq1TnhSDX/pNXPK/3wOvwS/9Jm6d8uRZPe+4cePEpZdeKoQQokuXLuK6664TQggxc+bMwKxmY8aMERdeeGHQfvfee69IT08PvE9NTRVXX3114L2maSI+Pl688cYbQgghJk2aJPr163fcGd3S09PFtGnTAu+HDBkixo8fH3jfu3dv0aNHj6B9OnbsKO6//34hhBDz5s0TOp1O7N27N7B906ZNAhArV64UQpTN1Ga1WoXNZgu6js6dOwfe33rrrWLgwIGB988//7xo0KBBoNyVHWPAgAEiLS1N+P3+QFrTpk3F1KlTT7lsR/8cyt1xxx2id+/eQoi/Z16rbBbEf0O2hCWpBvH5fKSlpbFkyRKKioqYPHkyQ4YMkbO/nQGFLg3lmDmuFVWl0KUdZ48zb9q0aXz44YdBc1VD2Xraxy7B2L17d3bs2BH0LHrr1q0D/1cUhcTERPLz84Gy7tZ169bRtGlTbr/9dubNmxd0vBtuuIEPPvgAgLy8PH7++eeg1uexxwdISkoKHH/Lli2kpKQEzc+dnp5OZGRk0PWkpaUFrdZ29DEAbrzxRubNm8eBAwcAmD59OuPHjw9aZ/3YYyQkJJCenh40R3lCQsJpl+1E2rRpwwUXXECrVq244ooreOedd87IPXwZhCWpBgkJCeE///kP9erVQ1VVRo8ejdForHQZQen0RJlVxLErSGkaUeZz92uyV69eDBgwgClTpvyj/Q0GQ9B7RVECq2K1a9eOzMxMnnjiCZxOJyNHjgyshQ1la2vv3r2b5cuX88knn1C/fn169ux5ysc/E2UEaNu2LW3atOGjjz5i9erVbNq0ifHjx5/0GP+2bKqqVuha9nq9gf/rdDrmz5/Pzz//THp6Oq+88gpNmzatsEb96ZJBWKo13G43999/P8nJyVgsFjp37lxhPeljlf+FfbxX+V/jAIsWLTpuvj/++OMfl3vu3LlBxzIYDDRq1IhHH30Uj8dzwn137NjB4cOHadSo0T8+/9H+SR3CP6ubNWvWMHToUKKjo7FarbRs2ZL//e9/Z+Q6/okbRw3Fs3VRIBALTcOzdRE3jhp6Tsvx3//+lx9++CFoWcjmzZuzdOnSoHxLly6lSZMmla5BfTzh4eGMGjWKd955hy+++IJvvvmGw4cPAxATE8OwYcP44IMPmD59+mmvz928eXP27dvHvn37AmmbN2+mqKjotJeyvOGGG5g+fToffPAB/fv3P+7qV2eybHFxcUH3xAHWrVsX9F5RFLp3785jjz3G2rVrMRqNzJw581+VTc6YJdUa5QtzTJ48mcaNGzN9+nQGDRrEwoUL6dGjR6X73HzzzRUmXRFCcMstt5CWlkadOnUq7HP77bfTsWPHoLR/EwTXr18PwAsvvEBcXBwOh4OvvvqKxx57DLfbfdwRs06nk6uvvpopU6YQERHxj89/tH9Sh0c71bqZN28eQ4YMoW3btjz88MOEhoaya9euSgclnStt27Ri2i3wzhffU+gqawHfeMtltG3T6pyWo1WrVlx11VVBf5DcfffddOzYkSeeeIJRo0axfPlyXn31VV5//fVTPu4LL7xAUlISbdu2RVVVvvrqKxITE4mMjAzkueGGG7jkkkvw+/2MGzfutMrdv3//QNlfeuklfD4fEyZMoHfv3nTo0OG0jjVmzBjuuece3nnnHT766KPT2veflq1fv348++yzfPTRR3Tt2pVPPvmEjRs30rZtWwBWrFjBggULuOiii4iPj2fFihUUFBTQvHnzf1e4M3qHWarx/ulSjlVtxYoVFZbrczqdomHDhqJr166ndazff/9dAOKpp54KSj/eMnz/1lVXXSXMZrPw+XyBNLfbLRITE0X9+vUr3cfj8YjBgweLMWPG/KOlEyvzb+rwdOqmuLhYJCQkiMsuuyxoIM35qrIBQZmZmcJoNAYtN/n111+L9PT0wFKpR/+chCgbmPXiiy8GpbVp00Y88sgjQggh3n77bZGRkSFCQkJEeHi4uOCCC8SaNWuC8muaJlJTU8WgQYMqlLN3797ijjvuCEq79NJLg5Yw3bNnjxg6dKgICQkRYWFh4oorrhC5ubmB7Y888oho06ZN0DFefPHFSpeHvOaaa0R0dLRwuVxB6ZUdo7I6PLa8JyubEEL85z//EQkJCSIiIkLceeedYuLEiYGBWZs3bxYDBgwQcXFxwmQyiSZNmgQtFftPySBcDZSv7bplyxZxxRVXiLCwMBEdHS1uv/124XQ6g/Lu379fXHvttSI+Pl4YjUaRnp4u3nvvvaA8WVlZ4tZbbxVNmjQRZrNZREdHixEjRojMzMxKz7tp0yZx5ZVXisjISJGRkSGEEMJms4k77rhDpKamCqPRKOLi4kT//v3F6tWrg46xZs0acfHFFwfWMO7Xr59Yvnx5pefZsWOHGDdunIiIiBDh4eFi/Pjxwm63n5E6vPfee4VOpxPFxcVB6U8//bQAgkZFnsytt94qFEWpUF9HBxqbzSa8Xu+ZKLpo2bKlaN++fYX0du3aiejo6Arpfr9fjBo1SlxyySVnrAxC/Ls6PJ26eeONNwQgNm/eLIQo+8NPBuPqoaSkRISHh4tvvvmmqosi+vXrJyZNmlTVxTjrZHd0NTJy5EjS0tKYOnUqf/zxB//73/8oLCwMdMfk5eXRpUsXFEVh4sSJxMXF8fPPP3P99ddjs9mYPHkyAH/++SfLli1j9OjR1K1bl6ysLN544w369OnD5s2bsVqtQee94ooraNy4MU8//XRgYMItt9zC119/zcSJE0lPT+fQoUMsWbKELVu20K5dOwA2bdpEz549CQ8P57777sNgMPDWW2/Rp08ffvvtNzp37lzh+urXr8/UqVNZs2YN7777LvHx8UybNi2Qx+v1nnQFnXLR0dGB0ZBr166lSZMmhIeHB+Xp1KkTUHZv51TuK3m9Xr788ku6desWeIbyWNdeey2lpaXodDp69uzJs88+e9rdbeU8Hg/btm0LTERQLjs7m82bN9O7d+8K+9x8883k5OQwd+5c9PqKX+GqrMNTqZtffvmF8PBwDhw4wLBhw9i+fTshISFcc801vPjii5jN5lMqu3TmaJrGwYMHef7554mMjGTo0HN7H/xohYWFLFq0iEWLFp1Wd3uNVdV/BUh/txSHDh0alD5hwgQBiPXr1wshhLj++utFUlKSOHjwYFC+0aNHi4iICOFwOIQQIvDv0ZYvXy4A8dFHH1U475VXXlkhf0REhLjttttOWO5hw4YJo9Eodu3aFUjLzs4WYWFholevXhXOU/78Y7nLLrtMxMTEBKWVt6hO5XV0S7VFixaiX79+FcpY/izgm2++ecJrKffDDz8IQLz++usVti1dulQMHz5cvPfee+K7774TU6dOFTExMcJsNlfo1jtVa9euFYB44oknREFBgcjOzhZz5swRbdq0ESEhIeLPP/8Myp+VlSUAYTabRUhISOC1ePHiQJ6qqMPTqZvWrVsLq9UqrFarmDRpkvjmm2/EpEmTBCBGjx79j+pR+ncyMzMFIOrWrSt++eWXKi1LamqqCA8Pr9DdXlvJlnA1cttttwW9nzRpEq+//jo//fQTrVq14ptvvmHkyJEIITh48GAg34ABA/j8889Zs2YN3bt3x2KxBLZ5vV5sNhuNGjUiMjKSNWvWVGh13XLLLRXKEhkZyYoVK8jOziY5ObnCdr/fz7x58xg2bFjQikhJSUmMGTOGd955B5vNFtSqOvY8PXv2ZObMmUH52rRpc0qjcSF4PWen04nJZKqQp7xVdbK1ocvNmDEDg8HAyJEjK2zr1q0b3bp1C7wfOnQoI0aMoHXr1kyZMoU5c+ac0jmO9tdffwHw8MMP8/DDDwfS+/Tpw5IlS8jIyAjKn5qaetIZeqqiDk+nbkpLS3E4HNxyyy2BwUeXX345Ho+Ht956i8cff5zGjRufUvmlMyMtLa3aLBSRlZVV1UU4p2QQrkaO/cXTsGFDVFUlKyuLgoICioqKePvtt4Pmgz1a+YPpTqeTqVOn8sEHH3DgwIGgL1dl3ZSVrf/7zDPPMG7cOFJSUmjfvj2DBg1i7NixgYBbUFCAw+GgadOmFfZt3rw5mqaxb98+WrRoEUivV69eUL7ypegKCwsDQTgqKuofLRFpsVgqzDcLZUsrlm8/mdLSUr777jsGDBhATEzMKZ23UaNGXHrppXz77bf4/f7TelwE/h4Z/eOPP2I0GsnLy2Pq1KmsXr36H494rso6PNrx6qb8OFdeeWVQ/jFjxvDWW2+xfPlyGYSl84YMwtXY0TPElD90fvXVVx/30YHy2WwmTZrEBx98wOTJk+natSsREREoisLo0aMrfXi9sl+uI0eODLRU582bx7PPPsu0adP49ttvGThw4D+6nuMFqKP/SPB4PIHnFk8mLi4ucMykpKSgZ3rLlT/3V1lr/lizZs3C4XBw1VVXndL5y6WkpODxeLDb7RXup57MX3/9RWpqKoMGDQqktWvXjvT0dF5//XWeffbZ0zoeVG0dHquyuklOTmbTpk0kJCQE5Y2PjweQKwlJ5xUZhKuRHTt2BLVKd+7ciaZppKWlERcXR1hYGH6//6StnK+//ppx48YFrbLicrkoKio6rfIkJSUxYcIEJkyYQH5+Pu3ateOpp55i4MCBxMXFYbVaK52paevWraiq+o8esF+2bBl9+/Y9pbyZmZmBwVMZGRksXLiwQhd4+QTux3brVubTTz8lNDT0tAel7N69G7PZTGho6GntB2VBuHzgU7nmzZvToUMHvvnmm38UhKuyDo9VWd20b9+e+fPnc+DAgaCelOzsbKDsDwNJOl/IIFyNvPbaa1x00UWB96+88goAAwcORKfTMXz4cGbMmMHGjRtp2bJl0L4FBQWBX146na7C/Z1XXnklaI7ZE/H7/ZSWlgZ1h8bHx5OcnBzortTpdFx00UV89913ZGVlBX6R5+XlMWPGDHr06HHarUL45/czR4wYwXPPPcfbb7/NPffcA5TN/vTBBx/QuXPnwB8EDoeDvXv3EhsbS2xsbGD/goICfvnlF6688soKo8ePznNsgFi/fj3ff/89AwcODJq39lTk5uaSn59f4WcJZff5n3rqKbZs2XLakwFURR2eTt2MHDmS//73v7z33nv069cvkP7uu++i1+uDlo6TpNpOBuFqJDMzk6FDh3LxxRcH5m8dM2YMbdq0Acqms1u4cCGdO3fmxhtvJD09ncOHD7NmzRp++eWXQBfkJZdcwscff0xERATp6eksX76cX3755ZTvc5aUlFC3bl1GjBhBmzZtCA0N5ZdffuHPP/8Mal0/+eSTzJ8/nx49ejBhwgT0ej1vvfUWbrebZ5555h/VwT+9n9m5c2euuOIKpkyZQn5+Po0aNeLDDz8kKysrsB4qwMqVK+nbty+PPPJI0FqoX3zxBT6f74Rd0aNGjcJisdCtWzfi4+PZvHkzb7/9NlarNbAUWzlFUejduzeLFi067vHK7we3alVxRqaLLrqIp556ih9//PG0g3BV1OHp1E3btm257rrreP/99/H5fIF6+uqrr5gyZco/6vaWpBqrKodmS2XKH+HZvHmzGDFihAgLCxNRUVFi4sSJFSbryMvLE7fddptISUkRBoNBJCYmigsuuEC8/fbbgTyFhYXi2muvFbGxsSI0NFQMGDBAbN26VaSmpgbNblN+3oKCgqBzuN1uce+994o2bdoEJuFo06ZNpY/trFmzRgwYMECEhoYKq9Uq+vbtW2FpveOd54MPPqjwmMy/4XQ6xT333CMSExOFyWQSHTt2FHPmzBE+vyZu/miV2HigKPD4TvksQuW6dOki4uPjg2atOtbLL78sOnXqJKKjo4VerxdJSUni6quvFjt27AjKV1JSckqP2zzzzDNBj6AdzePxiLCwMNG3b99Tr4Az4Hh1eLTK6vBU66acx+MRjz76qEhNTRUGg0E0atSowmxPknQ+UISoJuPSz2OPPvoojz32GAUFBUFdpNKZUeTwkPH4fNJirCy699Tulf4bP/30E5dccgnr16+vtJUrSeejRx99lFmzZlVYFOF8J1dRkmo9j69sRHjWIcc5Od/ChQsZPXq0DMDSSRUUFHDrrbdSr149TCYTiYmJDBgwIGjFJEVRmDVr1jkrU25uLpMmTaJBgwaYTCZSUlIYMmQICxYsOGdlOJ/Ie8JSrefxn7tF2YF/NKJZOj8NHz4cj8fDhx9+SIMGDcjLy2PBggUcOnSoSsqTlZVF9+7diYyM5Nlnn6VVq1Z4vV7mzp3LbbfdxtatW6ukXLWZbAlLtV55S1iSTmbz+rW8+uDNvHXPCF558CY2r1971s5VVFTE77//zrRp0+jbty+pqal06tSJKVOmBB6TK3/q4LLLLkNRlKD5zN944w0aNmyI0WikadOmfPzxx0HHVxSFN954g4EDB2KxWGjQoAFff/31Ccs0YcIEFEVh5cqVDB8+nCZNmtCiRQvuuuuuoHWh9+7dy6WXXkpoaCjh4eGMHDmSvLy8oGP997//JSEhgbCwMK6//vrApC/lNE3j8ccfp27duphMJjIyMoJmVsvKykJRFL799lv69u2L1WqlTZs2Qess1wpVfVNaks62LTnFIvX+2SL1/tlVXRSpGtu0bo2YPrGX8L/eU4g3y/6dPrGX2LTun80LfjJer1eEhoaKyZMnV1iur1x+fr4AxAcffCBycnJEfn6+EEKIb7/9VhgMBvHaa6+Jbdu2ieeff17odDrx66+/BvYFRExMjHjnnXfEtm3bxEMPPSR0Ol1g9apjHTp0SCiKIp5++ukTltvv94uMjAzRo0cPsWrVKvHHH3+I9u3bB5b8E0KIL774QphMJvHuu++KrVu3igcffFCEhYUFLUH4wgsviPDwcPHZZ5+JrVu3ivvuu08YDAaxfft2IcTf81k3a9ZMzJ49W2zbtk2MGDFCpKamntHVw6qaDMJSrffXvqJAEPb7z8zau1Lt88r/3RQIwOUv/+s9xSv/d9NZO+fXX38toqKihNlsFt26dRNTpkypMFoeEDNnzgxK69atm7jxxhuD0q644oqgdYABccsttwTl6dy5s7j11lsrLUv5etLffvvtCcs8b948odPpgpa2LF/kY+XKlUIIIbp27SomTJhQ4dxHB+Hk5OQKa3Z37NgxsF95EH733XcrnGfLli0nLGNNIrujpVrPc9QkJd5Kpu2UJACD+xCqqgSlqaqCwX1qU4D+E8OHDyc7O5vvv/+eiy++mEWLFtGuXTumT59+wv22bNlC9+7dg9K6d+/Oli1bgtK6du1a4f2xecqJU3xQZsuWLaSkpATNiJeenk5kZGTg2Fu2bKmwlOnRZbHZbGRnZ5/SNZRPxwtls/jB3/Pk1wYyCEu1nvuoe8Jev3wiT6qc1xSDpgV/PjRN4DVFn9Xzms1mLrzwQh5++GGWLVvG+PHjeeSRR87qOSvTuHFjFEWpdoOvDAZD4P/l8+lXNgd+TSWDsFTrHT0wSw7Sko6n38hb+HizEgjEmib4eLNCv5EVl/o8m9LT07Hb7YH3BoOhwpSzzZs3D3qMCWDp0qWkp6cHpR09mKr8/fFmYIuOjmbAgAG89tprQecvVz73fPPmzdm3bx/79u0LbNu8eTNFRUWB8zdv3jww53hlZQkPDyc5OfmUrqG2k48oSbXe0a1f7zl+XEmqOdLbtIUbXuL1L9/E4D6M1xRNvxtuKUs/Cw4dOsQVV1zBddddR+vWrQkLC2PVqlU888wzXHrppYF8aWlpLFiwgO7du2MymYiKiuLee+9l5MiRtG3blv79+/PDDz/w7bff8ssvvwSd46uvvqJDhw706NGDTz/9lJUrVwZNQXqs1157je7du9OpUycef/xxWrdujc/nY/78+bzxxhts2bKF/v3706pVK6666ipeeuklfD4fEyZMoHfv3nTo0AGAO+64g/Hjx9OhQwe6d+/Op59+yqZNm4LWHr/33nt55JFHaNiwIRkZGXzwwQesW7eOTz/99AzXdDVX1TelJelsm70+OzAwa+8he1UXR5KEEEK4XC7xwAMPiHbt2omIiAhhtVpF06ZNxUMPPSQcDkcg3/fffy8aNWok9Hq9SE1NDaS//vrrokGDBsJgMIgmTZqIjz76KOj4gHjttdfEhRdeKEwmk0hLSxNffPHFScuVnZ0tbrvtNpGamiqMRqOoU6eOGDp0qFi4cGEgz549e8TQoUNFSEiICAsLE1dccYXIzc0NOs5TTz0VmDp33Lhx4r777gsamOX3+8Wjjz4q6tSpIwwGg2jTpo34+eefA9vLB2atXbs2kFZYWCiAoLLUdHLaSqnWm7l2P3d+UbZYwq9396ZB3OkvOShJNY2iKMycOZNhw4ZVdVGkE5D3hKVaz+s7ujta/s0pSVL1IYOwVOu5/UePjpb3hCVJqj7kwCyp1gsaHS2DsHSekHcaawbZEpZqvaNbv175iJIkSdWIDMJSreeRk3VIklRNySAs1Xoen4YeHyDvCUuSVL3IICzVel6/hgUPEDyFpSRJUlWTQViq9dw+DdORICxbwpIkVScyCEu1nsevYVHcgAzCkiRVLzIIS7We16dhxlv2fxmEJUmqRmQQlmo9j1/DgA89PjxydLQkSdWIDMJSref1a+jxo8cvnxOWJKlakUFYqvU8PoGuPAjL7mhJkqoRGYSlWq+sJazJICxJUrUjg7BU65VN1lHWEvbI7mhJkqoRGYSlWs+nHRWE5cAsSZKqERmEpVrv6Jaw7I6WJKk6kUsZSrWe1y/QKX4MMghLklTNyJawVOsFPaIkg7AkSdWIDMJSrec5EoR1+OUCDpIkVSsyCEu1XnBLWA7MkiSp+pBBWKr1vH4hZ8ySJKlakkFYqvW8gdHRGh55T1iSpGpEBmGp1vMedU9YDsySJKk6kUFYqvWO7o6WA7MkSapOZBCWajUhRFlLWJGPKEmSVP3IICzVan5NIAA9fgyKT84dLUlStSKDsFSrlT+SJFdRkiSpOpJBWKrVykdDy1WUJEmqjmQQlmq18pav7sgjSnKyDkmSqhMZhKVazRvUEvbJ7mhJkqoVGYSlWs3rK78nLEdHS5JU/cggLNVqx94Tlt3RkiRVJzIIS7WaVw7MkiSpGpNBWKrVAgOzlLIJO7x+DSFka1iSpOpBBmGpVju2JSwom8BDkiSpOpBBWKrVnJ6yIGzCix4/gLwvLElStSGDsFSrOTw+AEx4AkFY3heWJKm6kEFYqtUcnrLAe3RL2O33V2WRJEmSAmQQlmo1h8ePAhjxYsYDgNMjg7AkSdWDDMJSrebw+DAZVFSFQBAudfuquFSSJEllZBCWajWnx49ZrwPArJQFYbtbtoQlSaoeZBCWajWH14/JUPYxtxxpCds9siUsSVL1IIOwVKs53L6/W8K4AbDL7mhJkqoJGYSlWs3h+bslbMYLyCAsSVL1IYOwVKs5vH6M+rKPuaoITHqVUnlPWJKkakIGYalWc7p9mI50RwNYjDrZEpYkqdqQQViq1ewePyb93x9zs14nB2ZJklRtyCAs1Wp2jx+zQbaEJUmqnmQQlmq1gyVuws36wHuzQZXPCUuSVG3IICzVWi6vn1ybi8QIcyDNatRz2O6pwlJJkiT9TQZhqdbac8gBQEL430G4TqSFHfklVVUkSZKkIDIIS7VW5kE7AIlHBeG6URayi1yUuLxVVSxJkqQAGYSlWkXTBNlFTn7fUcBrC3eSGG4mwmIIbE+JtgIwd1OeXFdYkqQqpwghRFUXojoTQlBSUru6L/ccsrM524Z25EevKApHfwxURQEI2q4c2SYAv6ahHYlfOlXBrwkEoFPL9hWibF+dWraXx6dRfnSfJtCO7KyqauCvQKfXX/by+HF4/GhCYNSr+DSBzeHF7SsbTOXyaRTavfg0Db2qIoQgv8RNfom70mu9pmsqjeNC4ae7ysrf4x5eXlnKYcffLeH4MBMp0VasRhWPT+DTBGFmPbGhRkJMenRHzgMQZtYTYTVgVFVURcEvBC6vH7fPj05VsRp0GHQqmiirE72qoCjg9Ql8QqACel3Zqk5CgKKAJso+ZzpVQVUUNCHwawJFUTDoytIU5e9rKq9fvyZQFQVVVUhPDictJuTUPwQ1WFhYGMrRFSJJNZgMwidRUFBAfHx8VRdDkqQj8vPziYuLq+piSNIZoT95lvOb0WgEYN++fYSHh1dxac4Om81GSkpKrb3G2n59cH5dY/l3UpJqAxmET6K82ys8PLzW/nIrV9uvsbZfH5wf1yi7oqXaRA7MkiRJkqQqIoOwJEmSJFURGYRPwmQy8cgjj2Aymaq6KGdNbb/G2n59IK9RkmoqOTpakiRJkqqIbAlLkiRJUhWRQViSJEmSqogMwpIkSZJURWpMEJ46dSodO3YkLCyM+Ph4hg0bxrZt206631dffUWzZs0wm820atWKn3766RyUVpIkSZJOrsYE4d9++43bbruNP/74g/nz5+P1ernooouw2+3H3WfZsmVceeWVXH/99axdu5Zhw4YxbNgwNm7ceA5LLkmSJEmVq7Gjo8vndP7tt9/o1atXpXlGjRqF3W5n9uzZgbQuXbqQkZHBm2++ea6KKkmSJEmVqrHTVhYXFwMQHR193DzLly/nrrvuCkobMGAAs2bNOu4+brcbt/vvFXmEEHg8HmJjY+V0eZJUzcnvr1TT1Jju6KNpmsbkyZPp3r07LVu2PG6+3NxcEhISgtISEhLIzc097j5Tp04lIiIi8IqMjCQ+Pr7WLWcoSbWR/P5KNU2NDMK33XYbGzdu5PPPPz/jx54yZQrFxcWB1759+874OSRJOjvk91eqaWpcd/TEiROZPXs2ixcvpm7duifMm5iYSF5eXlBaXl4eiYmJx93HZDLJafEkqYaS31+ppqkxLWEhBBMnTmTmzJn8+uuv1K9f/6T7dO3alQULFgSlzZ8/n65du56tYkqSJEnSKasxLeHbbruNGTNm8N133xEWFha4rxsREYHFYgFg7Nix1KlTh6lTpwJwxx130Lt3b55//nkGDx7M559/zqpVq3j77ber7DokSZIkqVyNaQm/8cYbFBcX06dPH5KSkgKvL774IpBn79695OTkBN5369aNGTNm8Pbbb9OmTRu+/vprZs2adcLBXJIkSZJ0rtTY54TPFZvNRkREBMXFxYSHh1d1cSRJOg3y+ytVdzWmJSxJkiRJtY0MwpIkSZJURWQQliRJkqQqIoOwJEmSJFURGYQlSZIkqYrIICxJkiRJVUQGYUmSJEmqIjIIS5IkSVIVkUFYkiRJkqqIDMKSJEmSVEVkEJYkSZKkKiKDsCRJkiRVERmEJUmSJKmKyCAsSZIkSVVEBmFJkiRJqiIyCEuSJElSFZFBWJIkSZKqiAzCkiRJklRFZBCWJEmSpCpSo4Lw4sWLGTJkCMnJySiKwqxZs06Yf9GiRSiKUuGVm5t7bgosSZIkSSdQo4Kw3W6nTZs2vPbaa6e137Zt28jJyQm84uPjz1IJJUmSJOnU6au6AKdj4MCBDBw48LT3i4+PJzIy8swXSJIkSZL+hRrVEv6nMjIySEpK4sILL2Tp0qUnzOt2u7HZbEEvSZJqBvn9lWqaWh2Ek5KSePPNN/nmm2/45ptvSElJoU+fPqxZs+a4+0ydOpWIiIjAKyUl5RyWWJKkf0N+f6WaRhFCiKouxD+hKAozZ85k2LBhp7Vf7969qVevHh9//HGl291uN263O/DeZrORkpJCcXEx4eHh/6bIkiSdZfL7K9U0Neqe8JnQqVMnlixZctztJpMJk8l0DkskSdKZIr+/Uk1Tq7ujK7Nu3TqSkpKquhiSJEmSVLNawqWlpezcuTPwPjMzk3Xr1hEdHU29evWYMmUKBw4c4KOPPgLgpZdeon79+rRo0QKXy8W7777Lr7/+yrx586rqEiRJkiQpoEYF4VWrVtG3b9/A+7vuuguAcePGMX36dHJycti7d29gu8fj4e677+bAgQNYrVZat27NL7/8EnQMSZIkSaoqNXZg1rlis9mIiIiQAzskqQaS31+pujvv7glLkiRJUnUhg7AkSZIkVREZhCVJkiSpisggLEmSJElVRAZhSZIkSaoiMghLkiRJUhWRQViSJEmSqogMwpIkSZJURWQQliRJkqQqIoOwJEmSJFURGYQlSZIkqYrIICxJkiRJVUQGYUmSJEmqIjIIS5IkSVIVkUFYkiRJkqqIDMKSJEmSVEVkEJYkSZKkKiKDsCRVE4cOHWLZ8j/Izs4+ad69e/fy119/4Xa7z0HJar4N+4uqugiSVCl9VRdAks53QgieeP41lmUV4whJxuRcTMtIjWcevhuDwRCUt6ioiLueeJG9vnA8hhAiHV9z9YWdGHnZJVVU+prhsdmbmZder6qLIUkV1KiW8OLFixkyZAjJyckoisKsWbNOus+iRYto164dJpOJRo0aMX369LNeTkk6HZ9/8z2LC8MxNO1NRN3GmBt3Y7OpGS+88X6FvP837VVyk3tiadSZiNSWiOYX8fYvf7F7d2YVlLzmKHZ4q7oIklSpGhWE7XY7bdq04bXXXjul/JmZmQwePJi+ffuybt06Jk+ezA033MDcuXPPckkl6dT9umojlsQGQWnG8FjW7M4NSispKWG3TaAzmoPzNuzMx9/+eNbLWZNpQlR1ESSpUjWqO3rgwIEMHDjwlPO/+eab1K9fn+effx6A5s2bs2TJEl588UUGDBhwtoopSadFO0588B+zwev1oqmGCvlUnQGXS7b0TkTIICxVUzUqCJ+u5cuX079//6C0AQMGMHny5KopkFTrbN2+k1c+/IJDDo0QveDqof3p27PbaR2jfdN6zNyfhzkqIZDmddppnRQRlC86Opp41U6RpqGof3diOfZuYOioHv/uQmo9paoLIEmVqtVBODc3l4SEhKC0hIQEbDYbTqcTi8VSYR+32x004tRms531cko10549e7njuQ8wtBiAoqqUCsHT3yxn67bt7C8oRKfTceXQATRv1vSEx7nxmtFsfHgq24pz0Mc1wFeYTZJzNw88NaVC3v+79Rruf+E9nMnt0Vsj8O7fQN9UM106djhbl1mjHO/7q1NlEJaqp1odhP+JqVOn8thjj1V1MaQa4PWPv0LX7IJAq1RRFHIPFvPcnDya9RgEQrD0te8Y0zmN668eWekxCgsLWbZiFWMvH4hBb+DPvzaR3rMFPbpeh6pWHLKR3qwJX778KLN+mkdewQEGTxpG48aNzup11iTy+yvVNLU6CCcmJpKXlxeUlpeXR3h4eKWtYIApU6Zw1113Bd7bbDZSUlLOajmlmumw3Ysuwhh477IdotjlJaR+B1Rd2VfL2qQb3yxfwBVDbYSHhwft/9aHnzFz5Q7c0Y1QXJnE2nfz0kN3kJycdMLzWiwWrhx+6Zm/oFrgeN9fOTBLqq5q1Ojo09W1a1cWLFgQlDZ//ny6du163H1MJhPh4eFBL0mqTFyYCb/3767Pw1lbMSanozum59MR0YCVq9cEpW3avIUvVx/A0KwfofH1CKmXjr3xAB5+4a1zUfRa63jfXzkwS6qualQQLi0tZd26daxbtw4oewRp3bp17N27Fyj7K3js2LGB/Lfccgu7d+/mvvvuY+vWrbz++ut8+eWX3HnnnVVRfKmWmTB2JGLrAjS/DwCjJRRfcS4xkcF/uCnuEmKjo4PSPv9hLub67QHw+/14PB4UnZ79LiNFRUXnpPznExmDpeqqRnVHr1q1ir59+wbel3c7jRs3junTp5OTkxMIyAD169fnxx9/5M477+Tll1+mbt26vPvuu/LxJOmMqFu3Di/ePY5nX/8AO2aSLCrm/GxCQjoF8mg+LwnufbRp3SpoX00TCAT7c/Jwev0IRYdO+LAWFspW21mgKHJgllQ91agg3KdPnxP+gqpsNqw+ffqwdu3as1gq6XwkhOCV9z5m/trdOIxJWDxFtEtJYsqt43j05ffI8ZpRhKCuxcvTD08OCgI7du4iNyeH9bt2Y25xAQazFRUFTfOTvz+LAzm5REVFVeHV1T5ycLRUXdWoICxJ1cXX3//I9zu9WJr1x3okbX5eFnHLVvDhi49TWFiIqqpERAQ/67vw92U8/dkCDA0H4F7xP7xbfseU3Aydz4F2YBON+lzBxzN/Zlp68xOe3+Px4HK5CAsLk628UyD7FqTqSgZhSfoH5ixdhyWlT1CaOT6NX1f/yrVjqLQlK4Tg7W/mYm5+IZrfhzWxAaZGnXDs30pEeAhpA69GUVWcBZn4fD6EEBUWcPB4PDz2/Gus21eEVzURq3Mx8aohdOvU8Wxebo2nHW9aMkmqYjIIS9I/4NEqT/ceJx3A5XJR6NVjAFSdHr3mQWcJI7xJZ3S+UhRVpSQ3i+07tzJ00hMIoH6UkSfuvoWYmBgAHn3uNVbRAFPzGEyATQgee+8HPkqtV2FiGulvMgZL1VWNGh0tSacrK2sP//f0i0x4eBrPvPIWxcXFZ+S4TZIi8TpLg9L8Hhf1Y0OPu4/JZMLE33M818vogX3ND3hLD6NTFRzZ28n9/QtoPxpd+oXo0y8kK7YLEx95Dk3TcDqdrNtfjCksJnAMRVFQGnbngy9mnZHrkiTp3JJBWKq11q7fwE1T32WduTX74ruzwJ7CuHuforCw8F8f+44bxxK5ZxGOgn0IoZGXuY3iJZ9w81WXH3cfVVXp2aIeroP7AAiLTyG9z6WYNn5HT7GZ4fUFSR0HYLCEBPbRGUzkWerz56o1OBwOfPqKk8zozVYOF5dWSJf+Jm+bS9WVDMJSrfXapzMxtLgQu8tD/sFD+BQ9rkb9ePWDGf/62OHh4Xz04uNcHFvIzm9ewLF/C4b0C7l12nQ+//aH4+531y3XMSjJiWHrXHyb5pGY9wfTp03h5acfpl69FLDGVNhHCYlib3YO0dHRRFMx2DrzdtO7c5t/fU2SJJ178p6wVGtlF3vYI7Lx6swoOgNFh0oxq372cGa6pPV6Pcu37KPR8Lv/HqGcmMr783/lgp5diIuLq7CPqqrcect1TBYCIUTQ/NCd27dFN+t18g7l4vO4iG3QElNYFPpDu+jReRyKonDzFQOZ+uk89I17oBpMOPIyaeLN4uILrj4j1yRJ0rklW8JSrbUvKxO/KRydwYyq6lBNVpxCz/49WWfk+Fu3buWwpW7FR4RS2vLN7Lkn3FdRlAoLNOzPziV/7y4KPHpsoSlsXbWYXb/MoHfDSJKSyuaT7tuzG+8/dANd2UbTwj+Y3C2B16Y+hE6nOyPXJEnSuSVbwlKtZTLqKM3Zjjm5WSDNtXMFYTFhZ+T4qqqCqGQ4tBDo9ScOigcOHEAIQZ06dVAUBSEET789g3oX30ip3U6RrRSadsZ0YA1XXTYwaN+6devy8N23nZFrOF/IScik6koGYanWSk2rj+Z0cXjdbDRVj07zUbdxK2IthwJ5NE3jpbems3zLHtx+qBNuYMqt48ruz55EkyZNiHVNx6W1CSxnCKDsW83lt95R6T67M7N4+MV3yVejECjEa4d5ZNJ4DDqVw6YkrIpCWGgoYaFlo6x9MX348oc53Dvx5n9ZG+c3OTBLqq5kEJZqrYy0OEo9qdRp0yOQ5jywjYHdOwTeP/XiGywujcPc+EIA9vp93Pbkq3z2wsOEhh7/cSMoawk/fsd1PPjiexRGNAK9kZDDO5lwaU+ij1mwAcoC/r3T3sDdfBBmtaylbNM0HnjuHZ6//2YUzVdxH78fo8FYIV06PTIGS9WVDMJSrXX/pJsoePw5tubocZljCHXkcFGzBIYMLAu4DoeDP3YXYG7298hiVafHVa8rM779gZvGXnnSc6Q3a8LXrz/NipWrcLpddO10BVarNSiPy+Xi5/m/smrNOvKtaUSqf3dVK6pKUVRTsvbuJ147hE3zoxy1XWSu4MrHJ/zbqjjvyZawVF3JICzVWkajkf89+X9kZ2ezf/8BmjQZTmRkZGB7YWEhHkM45mP2M0fEkrX/z5Mev6SkhP+++i7bc23oVejQuA69e3QPyrN2/QYefu1TnImtKdyvcRgX3oOHiIs9asINUyhFthKevvtm7v3v6xy01kPTmwi3ZXHrkO7Ex8f/m2qQkPeEpepLBmGp1ktOTiY5OblCekJCAqG+Io7tBHbkZ9Gpc7MK+Y+maRq3PDiVQ3V7Y2hUNrnG3EN55D79Is/+516gbK7oqW9/Bi0HY1UUDKExHFw6l8KYFMLdbkwmEwDGgi306TGJ6Ohovnx9Kn/9tYFSu5327a7CbD72TwTpn5AtYam6ko8oSectvV7P8N5tce5ehdDKRjm7ig9Sx7aFLh3aMnvOPNauW19h+cz8/Hy+/e4HcqwNUYwm8goOsj8nD7swsS7PS15eHgBZWVkcNMQFHmEyWEKIS0jEuWslBwvy8XtcOLcuZmSP9MA9ZEVRaNOmNd27dZUBWJLOA7IlLJ3Xrr7iMhrU+5PPZi/A7RNkNKpLSXgK4558D09UfRTnTuLfnsGoi3tgK7Ezb9k68tUo9u3chL9BLxRPDoolHFVnxuH04LPBzp07SUhIwGAwoBMamqbhcDhQFIWkll0Jzc0iYs+vdE1uz5j7riI1NbWqq6HWk93RUnUlg7B03uvWuSPdOpctBfj7sj945JtVhDTtjREozvGzdGMha2dtxa/ocec7SKqXSGzLXuzctRtLo86YjjyepOqNuG0HWbbqL7p3706RrZQdf/6K5osBVY+qgMWgJyp/A++++JS813sOyRgsVVeyO1qSjjJr/u9Y67UGQGgaWeuWEtLhMkRkCmpMPUIzBpG7fw/W6CRcmWvx2YvQ/GVd2e78TMLNRnbn2ygsLOTeF6ejazUI+5bFeA/tw1OUR8GKWfiKsoMGiElnn1xPWKquZEtYOm/4fD4KCgqIjo4ODIo61tH3f0tys1BiG+Dz+/B5vSh+P6rRgql+Rwp2rCU8OQ3v/g04Mu2YDEaiEuqQ2HUgpqIVfPL1dxTHZ6Dzm4nr1gB3wV40jxNdVAKmJuksWfYHzZo04vWPvqSgxE1cmIkJY0dWOoBM+ve82gkWepakKlTjWsKvvfYaaWlpmM1mOnfuzMqVK4+bd/r06WXrrR71koNdzk8ffv4NV0x+nLHTZjDirqlMe+VttGN+MXu9XlylxWz5YwG792WTf/AQHq8PvwaoOoTBitNWiHZkUo2IqDgscfVo2X8k6f2vILlVN9y7VzB22AByCgrRWcKAI5+7+FSsdZuhhkbh97rZs28/1z/6KmsMLclO7M4aQ0uuf+QVMrP2nPvKOQ/IdrBUXdWoIPzFF19w11138cgjj7BmzRratGnDgAEDyM/PP+4+4eHh5OTkBF579shfcucTIQTjbp3MQ1/8wWZTOjnGFOz1ujG/IIS3PvwsKO89jz/Hjoj2mPBQuP4XDh0swLFrFX5HMabQcAxGA6o5FNtfvxDboBVxUSG08mzGsGsR7h3LMG2by20DWtMuow29OrVBX5KL6nMFF6jkIJHuPFZt2Y2afhE6Y9kfhTqjGbXFAP73wefnqmrOKzr5jJJUTdWo7ugXXniBG2+8kWuvvRaAN998kx9//JH333+fBx54oNJ9FEUhMTHxXBZTqiacTicXjb6ejYcE4d2uxKOAT1E4UFBIbHg4n/z0A4P69SA1NZWsrCw2lxjRogX2okPoYurh93jx2YsoXf4ZuoyLUfRGvPs2EO0vpKd5LyMnXkazpk3weDzYbDaio6MDKyNd1K8PM+ctxu5PxuYETdXj2P4HCWopk64Yzkc/L0XVBX/9VJ2evBJvVVSVJElVpMYEYY/Hw+rVq5kyZUogTVVV+vfvz/Lly4+7X2lpKampqWiaRrt27Xj66adp0aLFuSiyVMUeffYVNhXpUawhoKhogObz4nV7yCnW4bXruP75L+lWx0hydBiFShgFy+diyrgEV2kxJqMVc4MO2FZ8i339HNI69CWm76WkHvqT/9wzKXCerKw97MvOJqNVS2JiymbCUlWV155+iK+++5HFqzawavUawnVGElIb8+283/GUFCOECFoGUQhBqJwm+qzwy4FZUjVVY4LwwYMH8fv9JCQkBKUnJCSwdevWSvdp2rQp77//Pq1bt6a4uJjnnnuObt26sWnTJurWrVvpPm63G7fbHXhvs9nO3EVI59SHPy1GiawPioLfXoguJBLNbUe1RIDwYzYZMTboyIxVizHZNnDIrUOEJeAvOoguNAZUFTSN0JZ98WStxmErJDx7C1dc2gsAu93OHY88S6Y/Er8lBvPXS+jbNI77Jt6Ioijo9XquHH4pdoeLnUodzEmNAcgRgrztHxKybRlhzf6e5tK9eyVXXXFBldRVbXG8769XBmGpmqpR94RPV9euXRk7diwZGRn07t2bb7/9lri4ON56663j7jN16lQiIiICr5SUky9pJ1VPdreGfdsy3Lk7KVo0HdfejWg+D77Sw5Su/o6Utr3I3JcNdTNw60IxeO1oHjeK3oii05cN5lN1KHoTms9DYeZGOkTa6dWtMwBPvPgm++O7Ym3QgbCk+hia9mbePpi3YFFQOeas2BgIwFB2iySu52jq+HKI2D0ftv5C5O753HVJO3p373ouq6jWOd731+eXQViqnmpMSzg2NhadTheYErBcXl7eKd/zNRgMtG3blp07dx43z5QpU7jrrrsC7202mwzENZTn4B4iuo7CkpaB0Py49qyneOnnKAYLcd0uJzPfhl81ouoFJcU2IloPomjRxxjrtUIV2pEgrODMXI0+viHOQ/v5cvlOVo+/g1cfvYvN2UUYmocEndNcpxmvfPQ585atJtxiwqBTWLlxB+wrQad5qZvekci6jdAZzUQn1OGVx++totqpnY73/ZXd0VJ1VWOCsNFopH379ixYsIBhw4YBZZPoL1iwgIkTJ57SMfx+Pxs2bGDQoEHHzWMymY77DKlUsxiikrHUbwdCoCgqlrS2mFJaUTj/DYQ1CuH3gduBM+svjHVa4CzMRWg+Sv/8jpBW/dCZw3HvWQeqHr+jmJBm3TCktGDrhvnc/eRL2IWJwuxc/JpAr1OJj4kiJ/8gtnw3Sscu7Fk5jxI1BEu7oagh0Qgh2LNhHkZrKDqDiYbJMSe9Bun0yO+vVNPUqO7ou+66i3feeYcPP/yQLVu2cOutt2K32wOjpceOHRs0cOvxxx9n3rx57N69mzVr1nD11VezZ88ebrjhhqq6BOkc0lvCAVG2hI6qA1WHqjciNA1n1jq8RTmUrPkRf1EuutAovAf3Yq6bjrlBe4qWf0Xh7x8hFBW/vRDPgc1Y6qaj6A2EZAxkzdZdZGZmUuIDOyaKfHq27t7L4f27iGuQjhCC4sLDmOu1QQgNzVUCClia92Hfut8J3buE66+6oqqrSJKkKlZjWsIAo0aNoqCggP/85z/k5uaSkZHBnDlzAoO19u7dG3hEBMrWi73xxhvJzc0lKiqK9u3bs2zZMtLT06vqEqRzSJTmI4RAVZTAZA1+Vwma/RDu/ZsQfh+KoxBv6SH8jiJC2w2hZN3PCCGI7HoF3sPZOLcvRxceS2SXkbg9XnCUYgoJw+kRJPW6jKwVszCltUUXHo87ZweOzYtofMVEEAKhln29FL2pbPS1rRQNQbhi44NpjxMWFlZ1lSNJUrWgiGPXaZOC2Gw2IiIiKC4uJjw8vKqLI52GjAGjyCxRiOgyAsVgxu8oonDRdPShUUT3ugZv6WEcW5bgKcgERYdqCiGs/WCMkUloXheK34vr0AFK/5qHKakxwu9DHx6PKakhJcu/IrzrSITOgCd7G357EaaE+niytxMVYqJp38vZOO9zzBmXIFw2GqYkoioqbtthhsQfZtKN4ysts9fr5bclS7GV2OnXq7ucY/pfKv/+pkz+kr0vyp4HqfqpUS1hSTodJS4/lgadOTTvDRRVh1AgrN0QvPs3IByFlP71C2FtBxJqGIi/tBCfLR/3nr/Qh8eDEGg+L/rwOFSTFTRBaOv+eA/u5/DC6VijE1GtkaDqsDTsiOZ1I9yleAsP4LfWByC5SRv2rJ9LbHrnsgBcUkjkgWVcN/nhSsu7cfNWHnx5OraY5igGC2///DJj+rRi7KjLz2GtSZJ0LskgLNVapbZC8LqJ7nc9it6I5irFuWc9hvBY7Bvmo+j04Pejmo0IkxVDZBK+4nw0VynC78N7aD/eg1koegN+t53C3z4istPlqHoD5sRGODPXYmnYAQBFb6Rk1QLMZgshJXvxbFtMtPDQtlkYFus+SnOzaJgUzc3THiQkJKRCWYUQPP7aR/jTBxFafkslNpmPF/9G/57ZcmEHSaqlZBCWai2n3Y6WuQ7bX/NQUMoGSHmcWBIbYWncBXNYLK4960DVYW3UCU1R0Eck4M7ZgaLTI3wewtoOQnM5UEwhlKz+AZ+tANUSjprQGF1hDrZV35cFeI8L76H9KJYQEhqlU8fo4oFbrqFJk8Z8P2c+n/70O7uLPCx74BkGdWnJ9VePDJotKzMzk0PGeKxq8FhJXWoHPpv1E3dPkIMJJak2kkFYqrV8ArDlYYqvjz48DndeJsJtJ7z7leD3AgrWZj0p3bgAv7MU1RqOa+8GFFUHQFj7S/A7S9BZI0FRCGnVj5KVM1HddoTPDXoDYWmt0MXUpXj1T4R3HEpsfCLmunXI1/zc/dx73HnVYF75eT3mxhdhBLzAF5u3YfnmO64aMSxQVlVVodLhGQKdWqMeYpAk6TTIb7dUawmvi4iuI4noMoKQ9D6ENutOSPMeaI5idHoDmtsOgKV+O9zZW/Hk7cJ7aB8CtWxglt6ILiQKRNmSh4oQaE4b1vgUStbMxu924HHZKVz8CZqjmPDoeJIT4svyqjpc9brw1P/exdSgU1C5zMlN+Wnp+qC01NRU4nwFiGOWV/Rn/smVlw0+W1UkSVIVky1hqdbSRSZgjE87spisQNGbwOdBaD4Mej1+oxm/vRBvUR6lmxehs0SghkSh6vW4cvfhd9rQh8aAoqA5bQjNj9D8uP2CuAtvQpQeRq9T8ZpNOHJ30yAlCd1RKyOZwmPItrsqdDEDOP3B7xVF4fHJ1/PAc29TGN4IoTdjLdzBjRd1qjBfuiRJtYcMwlKtpejNCL8PT95u/KWH0EUm4d6/GV1YLI7CfBSTFcUSjmvtTxhi0xDuEsLaDS6baatJV2x/fE1oq4vQh0fjd9qxb16I31mMuUFHfE47yXHRREVEoPnrsG7PX9hKSjAZTVgsZhRFxZm7ixZpSRQ47Rgsfw/GEppGQoiuQnmbNGrI169PZcXKVZTY7XTvcnmlg7gkSao9ZBCWai3Pob3Y/pyFuV4rTMnNceduR/N5KFo6g5Am3VGNZlwHtqAYLPgO78dYryWuPX/hylqLEAJjfH1sa3/AEBqLr/QQ5gYdET4v9t2riWzbh6iICAB8moZfwO6VCwhp3hO9KCRMOGnh38mzTz7ETQ89S2m9HpjCovA67Sg7F3HnfZUPtFJVla5dOlW6TZKk2kcGYanWUhQdlsadMUQmlc0dXb8dqikE26rvcWatQbMXoRjNhLUdTEir/vgO78OVtZ7wLiNQjWZ8JYdx7d8MCkR0G4WiM2Jt0I7Sv+aCvRAoW9jjQG4BRpOZlKYtyN/xO14UHM58nnh3GrGxsXz47ENM//wbdh7YSmJUODc8dRdxcXFVWzmSJFULMghLtZY+NArVYMZfchAUFUXVYYhJQWcOxVK/Hb6Sg4S1vqhsveHSwxjjG2CITcW5fRkh6X3Qh0RgTm6KLjIJnTUCUPDZ8tGHRJG9+DMSk5Lwup0Urp5LautuRKc2Jzq1OQBeRwlfz57H5FuuIyws7LgzZEmSdH6To6OlWktoWlnwNVhQDCZQ9QivG83rxlOQhb8oD+F1la2ypDOg6PTorBFoXg+oOoTPhyGhIcLrQlH1OLYtwZO9HV1UMubUNvjXf88lsYdo1CydmAYtgs6tGow4XK4qunJJkmoK2RKWahWHw8Gvi5egKAq+kkMIvxd9WGzZRiFwZq5Bc5Zgqdcad+4OFKO1LBCrKsLrLgvUPheaowgUFe+hfRjiUnHnbEcfnoA5pQV+VynRcfGYYqMoKNlAPMU4hQiafMOTuZqRdwyvmkqQJKnGkEFYqjXm/bqYl76YhzOuOQoCXWgUju1/oAgBOn3Z+sGaD2vTbhjj6+M9fABf4QEM0XXxO21ofg++g3swxKWhWsLQ7MU4d6/BZzuIgiC88wj8rlLQ/Pg1FYMlhC2ZxTxy0ygeef0znHXaoTdZ0Q5s4NKMOjRq1LCqq0SSpGpOBmGpVnA4HLz85Tx0LS8m9EiaojPgyduNIaYOis+D31mEJ38vERdcf2QGrAuwb/wV1/4tqCYr7uxtCM2PISIe78F94HWiCj9xXS/n4JIvwOdGZ7Ig3Hb0hrKvjga0z2jNVy835vuf51NoK+LSceMqnevZ4/GwfMVKVEWlc6cOGI3Gc1dBkiRVSzIIS7XCr4uX4IhtHgjAAL7iPEyJTcoWaQiLRrWEYEppTcmyL1A6XormKMKc0gLFHIpt1Q+4sndgjIrHX6pDczlQjUZ0BiOuv+ZgikrEd2gfhuhk9KpKRFgofo+bxrEhKIqC1Wpl9PBLj1u+35ev4NkPv8MW2RgQhH/8A1NuGE7Xjh3Oet1IklR9ySAs1QqKoqAQPPeyzmTFEFMHU73WaKWH0EUl4dy2FGNcKn6HDXNyc9w5O/AV54LfiyWtDREdL0V4XQhVj2v7cnx5OzEIN8n1GpOzdS1+ewEhyQ3RFZcSVrqTR56476Rlc7lcPPPhd9BiEGFH0rTkxjz97td806a1bBGfIx6fhlEvx6JK1YsMwlKt0K9XD9749klISAPKlgYUqGiuErz5megj4nFnrkNRDaCoCI8TRafHlFTWMvWVHga/l9INC1BUFV1oNNZmPXApAsVxgIH1jdiTMmhaLwG9wUyD1Lr07HZd2cILJ7Ho92XYY5pz9NxXiqJQEt2MpX+soG+vnmelTqRg+wodNIwLPXlGSTqHZBCWapxfFy/l4+8XYPNClAluGjWETu3bcvfVg3nh09mURDWhODsTBUFIel90IZEAGOPr487ZgXv/JiwN2qMYraiqijGxMaV/zSOq7w3ozCGgKHgP7cOxfRmavZDw5j3o06kNvXr2QKerON3kyfj8PoRSMVgrioLf569kD+lsyClyySAsVTsyCEs1ysLflzH1m+WYG/UDIFcIHnpvNs8aDfTt2Y1undqzZNkfvPvFenZYw1HNoZSt4FD2+JApsSE2jxNjQsOypQOFhtC8GBMbYYguG0ylue1l6wrn7sRzOJedS3/k9j1/ktZoAR0axPN/d9yMwWA45TL369WD12c+DQmpQekhh7bRo9uoM1Iv0snll8jntqXqp8bdIHnttddIS0vDbDbTuXNnVq5cecL8X331Fc2aNcNsNtOqVSt++umnc1RS6Wz45PsFmBp2DrxXFAVj0968++VsAEwmExf07U2dxETw+xFuO0Lzg+ZH+H34Sg6hGEwogPB78DtLcGeVdVP7nSX47YUoiopqCkFnDsWQ0IDIftezL68QrWl/ljqTefKlN0+rzFarldtH9kfbNBd7wV7sBXvxb/yZyWMGYTabz2T1SCewek9hVRdBkipQhKh0JfFq6YsvvmDs2LG8+eabdO7cmZdeeomvvvqKbdu2ER8fXyH/smXL6NWrF1OnTuWSSy5hxowZTJs2jTVr1tCyZctTOqfNZiMiIoLi4mLCw8PP9CVJR8nMzGLZqrVs2bSB1Ru3EW41YjRZ2LNvH/v27MPj82IzxhHWeQQoCghxpI2rcPi3j/AUHkBnjUZzFYPfiz4kGk9EM5SdP2MMicRdmE/CNc9w+Jc3CWnWA2N8A7yF2QBY0tpi3/QrprS2+EsOYYiugzt7K37bQfTRSfhth9AX7adBjyHE+A4y69VHMJlMQNnjUb/89juKonBBrx6YzWaWLP+D7NwC+vboEliK0G63M//XxSiqwoV9e2G1Wquqqs8b5d/fZvd/gxMTvZvE0blBNA3jQmkYF0pqjBWDrsa1RaRapEYF4c6dO9OxY0deffVVADRNIyUlhUmTJvHAAw9UyD9q1CjsdjuzZ88OpHXp0oWMjAzefPPUWjMyCJ99mqbx4NQXWbKrkPV/LsPUoBM+lx3hKMRUtyXC78GxbSnGxEZ483YT0eMqFFVF87hQDSbQGShe9gW+koMIr5OwjIF4C3Mp+uMrrEkNCWlzMcaYFFz7NuLcvADH3s2EthuCtUk3dGHRZdNWqjp8pYdw79tMSMs+eHJ2UrpxAebU1pjiG6IYzZRuXIA1uRkGex4v3X4FIy69hPkLf+fFz+fiSkgHAer+tXiK89E17oXOGol6cDsD0uO5+9brq7qaz0vl3997P11OUlw0P23M4UChE4en7F68TlFIjjQTYTUSZtITbtETajIQZtYTZtYTatITatYTZjYQFvj/kXSTHrNBh0mvBs2WJkmn47TvCTudTlavXk10dDTp6elB21wuF19++SVjx449YwUs5/F4WL16NVOmTAmkqapK//79Wb58eaX7LF++nLvuuisobcCAAcyaNeuMl0/6576Y+QN/OuPZumEhEX1vRHOVoO3bSGi3UWhuJ5qrhOiLJlC87HMMSU1x7FyBJa0tqjkURW+gdP08wtoNRvi9OLYvR7WEoff7sMbVIWbwXegsZYNxDNFJGOPr4//xOYyJjTDXK+sN0Zw2/M4STImN8eTuRNUZMae0QB+ZiCd3J7qIeFSDicge11C6djbRHS7m/Z/+oG+Prrz0+Rx0LQcGRj5nefQU5S2iVUIaOoMJohP4afsaeq5aTacO7auohiVFgS4NYujSIAYhBMVOL9lFTg4UucgvceHw+HF6/OTaXLg8DpxePw6PD6fHj8Pj52QtFaNOxWRQA0HZrNcF3psNKia9DsuRbaaj0o7+N7Cv4e/3FoMOq1GP1ajDbNBhNZalqaoM+rXFaQXh7du3c9FFF7F3714URaFHjx58/vnnJCUlAVBcXMy11157VoLwwYMH8fv9ga69cgkJCWzdurXSfXJzcyvNn5ube9zzuN1u3G534L3NZvsXpZZOprS0lOfe+xxH+jA8qhmLqsOTn4m5fnvQygZOKXojiqrDmNgYXVgM3oJ9FC/7DGNSExBgadAeXUgkmseBzhqB+8BWwjIG4dm7PhCAy5mSGmGITcWbtxtalg3uUs2haB4nmseJLiQK1RqB5rZjiE3BlbWurNXtdqCaQzDVaYa+JBdXQjqvvv0ejthmgQlCNM2PVwNDvTYUZm0mtnFbACxpGXwzZ5EMwufAqXx/FUUh0mok0mokPTnipMfUhMDt1YICs9NbFrQ9fg2PX8PrE2X/+jU8vvI0LZBW5PBy0O/+O49fw+MTgfxev4bbp53ydZr0KhaDDrNRh9Wgw2IsC9BWo/5I4Nbh9Pr5a38xV3dJ5dY+cgrV6uq0gvD9999Py5YtWbVqFUVFRUyePJnu3buzaNEi6tWrd7bKeE5NnTqVxx57rKqLcd6Y/OhzFOqiMVmO+WUoNI4e1fx3moI+PAZ/ZBKhrS9EUfWg+Y/k5choZw3QykY/V0IIgaLT4S3MwRCVdCRNw7FpIaEt+h4ZNc2R/QVC08pWYaJsZSZriBU0P2qFx5WUQB6OeiRJCO2UnieW/r2z8f1VFQWLsSzQRYec+YlVhBB4/QKPT8Ph8VHq/vtV4vJR4vKW/XvkfanLi+1IepHTe9Ljv/TLdhmEq7HTCsLLli3jl19+ITY2ltjYWH744QcmTJhAz549WbhwISEhISc/yD8UGxuLTqcjLy8vKD0vL4/ExMRK90lMTDyt/ABTpkwJ6sK22WykpKT8i5JLx3I6nXzw2df8sX4rSzdlYY2rhz13J5rHjuZzY0xogHP3KsLaXAwKCJ8Hofnx5O7EqDdgSWmFc/dqnLvXYG3UCRCglLVWNZcda5MuOHatxHswE5+9GH3I3wHetX8LvoN7iL34Dly7V+PKXIW/tAh33i4iOg8ve6RJlAVdb0Em6IwoeiNoPtAZ8eduJ7ZrD5TNc7n9vvtZcd80SKwPlN0eMerAvu8voi8a+fc5s9YycvwF57qaz0tn+vvr1wR2jw+7y4fTe6Tl6/u7tVvh/0datN4j6e6jWrreo7cd+X/5/qczMKe86zvSasQc6L4u68K2HPl/TKiRTvWj6dIghqQIyz++funsO60g7HQ60ev/3kVRFN544w0mTpxI7969mTFjxhkvYDmj0Uj79u1ZsGABw4YNA8oG9CxYsICJEydWuk/Xrl1ZsGABkydPDqTNnz+frl27Hvc8JpMpMOpVOvPcbjc33Ps4+Ymd8Sb0RDVmYNu9Gte6nzDG1KFo0fuY6mUggMLFH2FOaYnweXD8/gnG5Cb48vdgy92JLiIRx7al+IqyMdVtgb84H/eBrQgE/pKD+O3FOA8XcOjHFwhp0Q9DXCquPX/h2rEU9+EcvNnbMUQn49i+B1f2NjShUbL2R3y2Aoxxqbj3b8a+fTnG+Pp4crYjfF58eTtIadICdfNc7hk7lIiICB64dhjPTJ+FLaoJCEFy/iYSwj04D2xBmCMwFe7m8nZptM1oXdVVf144le+vEIKDpR525pdy2O4JtDrt5a/y1qjLh91z8slU9KoSuJ9rMeoC94MtR7qJIyyGsiBZvv3I/01HAqblqHvAZkPZ/WTzkeP8nf73Nnk/uHY5rSDcrFkzVq1aRfPmzYPSy0crDx069MyVrBJ33XUX48aNo0OHDnTq1ImXXnoJu93OtddeC8DYsWOpU6cOU6dOBeCOO+6gd+/ePP/88wwePJjPP/+cVatW8fbbb5/VckrH9/m335Mf3x5zRCx6vw9doY2Q9D6U7t9KdMu+eBIb4czLxCxcOBwHUQr3QEgMxjot8ORux5W9DUwhGCPiCG3WE6Eo2P78nvD2g4noNRbNVYo3fzf6iHhCm3QmrNNl5LwzCUNoCF6vl5Rb36fgu2fIn/1iWXez34fBbCIsNARfwUFs2Vswm8zUr1eHhJb1adKoAeERUCcplaZN+6M3GOjepXNgvuceXTrRqV0GS/9YAUD3LldhMBhYu249eQWH6NJxEFFRUVVZ5dIROUVOvli1jx1Hgi+A9UiQjLQaiLIaSYm2EmE1EHkkLdJiJMJqIMJiCIyGDgqMehW9fMRJ+hdOKwhfdtllfPbZZ1xzzTUVtr366qtomnbKj/78E6NGjaKgoID//Oc/5ObmkpGRwZw5cwKDr/bu3Rt0761bt27MmDGDhx56iP/7v/+jcePGzJo165SfEZbOvHXbszBHl/VE6HV6wi1Git0O1JAYXAV7cOVlojOa0esMxNZvgcvpwNS4M7bd6yGmDiGNu4JOj33LYjSnjZBWF6CVHMIQUw+t9BCoOswpLdE8Thxbl6KqeupMeAcA1WAGtew+bovLb+OS5lH896G7//U1GY3GCvM/t2ub8a+PK505drePJ37cTKhJz8gOKbRPjaJtvUhiQ2Wvl1S1atRzwlVBPid8Zj354uss9TVCb/57ogpbSQmbZr6OLqkJ4S37odOpKCi4cnZQL28Ju/OLKPIZCe9wKao5DEWvx75jJcJjR/i8eAqyUHUGwtoOwhCTgua0YVvzA96D+4nqMw59ZNngK81lx7VnPSXrfiKp71hiD29g+TfvBN1ikWqX8u9v+4e/o9CnZ+n9/UiMkLOUSdWH/O0jnVM3XHk5v//nVUTLAYEJDozuIhpEGylq1KFsIixNIDQfmMPYWypwlZYS0noIAIreUDZQyudG0RnRh8aUrYSk6CjdshhDaAzo9Kh6ExG9rsGZuR5FvwldaDS+ojw8OVvxu52Y66ZTkPkHfr9fBuHzQH6Jm14tEmQAlqod+dtHOqcSExP5722jePmjb8hzCCyqRq/m9fhMNeHxePC7CsoeRRIapsg47LpQ/BF18OzbgM4UihA+TMnNED43wuvBX5xHeJcR+IvzMddphjk1A4DSdXMwRMSja9IJzeMCnxdDTAq+wwfQNA2BwGw0yEF455FO9aOrugiSVIEMwtI517ZNK6Y/3wpNK3t+9rb/e5IcnxWDakBnDUFoGr6SQzgKC7Dl7we/l/BOl2GMTUXT/Lh2rsB9YAvG+Ea4sreh27SobJYtVynewwcwJTY+8miTr+zpJV1Z61mIsha2zmhG2Arom9GoqqtCOofSk+TtJKn6kcP6pHOqtLSUDRs2UFBQgKqqZGVlsbFQh7lxF0rWzcHvLAGdAcVgonTdTyiqjtCMi1FNIfidNoTHgaVhJ4zxDQhtdQGhbQaAohDeYRgR3UYT0rwXvsIcNL+P4uWfg06PzhqJYjDhylqHIaEB+pBImtjX88S9lT/aJtVOjRPkWsJS9SNbwtI58793P2Lu2kxKLQmY3YW0itVxUff2eENi0VxGwjsOxbHzTzRnCZrmR/O4EX4v3vxMPLm7MKe2RmcJR9Eb0Ecm4T28H0/uDiI6XoavJB/VYAFFxZiSjmf9PMxp7XBs+R1FVfEeOoCxbjr+Q/vwO0v45Pn/EBFx8ikLpdojzHzqa0BL0rkig7B0TsxbsIjvtjmwNruA8k7BDbaDGFesJdTlQVFSUIwWQtN7ofl8FK/4mpBm3TFEJaNawtE0jeLfP0YXEomlQQfc+zejC49HZwpB0ekBBeH3olojUBQFRdVhSmqEuW46rj3rUc1hWJt2xb7Fh2/DApxOpwzC5xm723dWpp2UpH9DBmHpnPju1+VYUnoAZbNmFZeUYjQY2JJro3taPNtWZyL0prLpIguz0RwlmOq2QLMX4s7eijtnO2FtB4EQuLO34C3KRR+VjPfwXjS/F11YLH5bAcLtQDGY8NsLsa2eDaqKqjeiGsw496xHNVpAr5cTaJyH5MOYUnUkg7B0Tng1gaJAdl4+pR4NDBaEx8eejdsx+ezoDh2k+MB2fC4Hfq8bQ3QyflsBqjUcT84OwjsMRdEZ8NuLsDbshD66Dvh8WOq3xf7XfKzpfVCNFoTmp3jpDFRLOKgq+LyYUlqgj0zCk7uT0o2/ohisclT0eSg+XP7MpepHBmHpnOiUXp/3NuyiRAlHZyobIKNpfpwOO+sMLWgxpAnZuXnkHy7Gc/gAJevmEtZ2EMLnRbWEoeiMoPkRfh+6sFhMlnBKVs3CnNICY2IjChe8jc4SjvB50MemEtK8J4fmvUHMgAnoQ2MAgalOcxSDhcLfpldpXUhVw2w4dtUrSap6cnS0dE6MGz0C97rZePN2o3nduAv24Fz7A6aoRIQ5FL/fj9PjQ2c0YUpuBkLDvmXJkUeNvCA0/E5b2f1fRSlb1UhR8ZUewnt4P1EX3kp4l+FEXzwJS1qbspHQkQnozKH4HcX4HUUoOkPZesCh8nlRSZKqBxmEpXPCYDBwcZ9uJEWHot+7gjidk1YXX4XOaEEBPF4PTpcbvybwlR5GtUZgSmpM6fp5uPZtxFecj84agaLqQPPj3LkSY0JDnLvXEtKiH/g9qOZwNFcJhug6aC4bQvMjvG4UnR7VGFK2JKLHeVrLxkmSJJ1NsjtaOmeuvmwQK1//npiugwJpBlWgeJ1k5/nxKXqE0PDk7Cgb4Ww0E95+CM6YOpSsmY0puSmKJRx35mp00XUxp7bGfWALjm1L0DwuTHXTUU2hOHetwns4B8/hfQjNj85aNgpaMZhw7f0LX+mhqqoCSZKkIDIIS+dMevNmXNN9E18tno8tpC4GTwmd61pYtvILtMb90KwxuPasx529A11YDI7Nv6ELj0NnjQRNw7F7NTpLOH6XHX/2dvy2g2jOYkKa9kANicS560/cB7YS0f1KjMlNKF03l0ML38dSrzWmpMZ4CzLxux3oLXLmJEmSqge5itJJyFWUzjyHw8HmzZuJiYnBZrNxzZPTKXBoeFBR1LLZshw7lhHe4VIUgwW/LR+MFkrW/gg+D5E9rkYXEknp+rlYm/cGzYfOGoHw+/Ae3IvwuvGVHkJ4nOgjE9Fcdjz5u7Cm98YQFkfRvFcp2ba8qqtBOgfKv78pk79k74tXVHVxJKkC2RKWzrr1Gzby9uffU+IRxFj13Db2Cjp06MD8Rb/z1NtfctCQhMd3AE/BHoxJTfDl7UO1RlK84ht0lnB05hC8xQUIT9m6w0WLP8aQ1BhF1ZWtxKTq8duL0IVGY0xqTPEfX2OMS8WS3hvh96KgYGnQnpL1c9ESGyF87qquEkmSJEAOzJLOspWr13LvGzPZE9+Dwnq92R7VmYnPvM/6vzbwwudzCe1yBarBhGIwE33hLZjrtUINi0VnCkHVGfAVZqOoegwhkVgbdUKn1xPa+kIMoTFojmIUgwldaDSqJQxUFeHz4i89jKVhJxCA34sQGqo5BEWB0g2/4Hc6qrpaJEmSANkSls6yd774AWOzvoG1g1WdHpr3Z8p/X8Hb7GJ0KDi2L0MX3xjv4Wwc25dibdQZfXQdNEcRitNG8Z+zMNZNx3s4m4jOwxFCoBhM+EoK8DuKUQ1mVKMFzVmCM3MNOmt42WNMCISmoehUNLcDxWAmqu91FM59pWorRZIk6QgZhKWzqshDIACXU3V6inwqBr+PjXM+xpDUFH1cQ0rW/gSKwFOQhStrLfqoOpiSGhHSZgBaQRbmVv3LgqvXhfB7CGnek5K1czBEJaGPSMCdvQ3NaUM1h+Lesw59dF30YbGg6soeV9I09CFR6M1yNR1JkqoHGYSlsyrMAE4hggKx0Pw0T01g4eKvMHYcjV4TFG5YRFj7weiskQifB9UcSun6OXiLwvEX51G6808iExujN4eiGK2omhdVgZDGnfAV5YOqEtqiN76iPFybFmAJMWErziekeS/89iKcO/7A2rwnfkcxEUY5FlGSpOpB3hOWzqpxwy7CvXM55YPwhabh2bKQ60cOQdXr8XvcaFA23WRoDMLjQnhd+B1FmFNaYd/yG/rYNCxNuuHY8QeKORTFZEVTVPx+H+reVbTvPYCUhs0wah78u/8gpu+1mFpdjNHroHjZ53jydhGS3htF1eFY/xPT7pfrCEuSVD3UmCB8+PBhrrrqKsLDw4mMjOT666+ntLT0hPv06dOnbNKHo1633HLLOSqxBNCrW2fuHtKeuL0LsO5eSJ3s3xiSkcIj732HXQ3F5/fhKjqIYrSUTUtpsqILiUI1WlBDItGHx6KarIQ274kxviFFiz/GZyvA73ZQtPI7fIf2Erl9NoeWfUWE7zAZQ2+g9K95FG78DU1vxGzQ4T+YRemf36Jb9zV3XtqZMaNGVHW1SOeYqpw8jyRVhRrTHX3VVVeRk5PD/Pnz8Xq9XHvttdx0003MmDHjhPvdeOONPP7444H3Vqv1bBdVOuKxaS/yydzleK1xGP0OBmTU54n7b+eqKc+jb94f159TMaaUYohJwbF1CYreWDYtpdDQ3E40Vwm60Jiy6SoNZqxNu+FzFGL742uszbqD3kRor2vZsud3GvUbjTkihrytq9BHJaFLaY2iM6K6bej++o5v33uKli1boqo15u9O6QzS5B0IqZqqEUF4y5YtzJkzhz///JMOHToA8MorrzBo0CCee+45kpOTj7uv1WolMTHxXBVVOuKF197mnYVbCet+HXpAIPi5IIvcOx/EntQZ5/a1hLUdxKHVP2Bu2BEhNEr/mk9oywtQLWF4D+/HfWBL2UpKfh+KQQAKqsFMSLMeqCHR4HWWrZBUryMF21fj9XrJ2b0NfVQiZG/DnNKclLp1UGOu4pfFy2jWrBlGo1zUXZKk6qNGNAuWL19OZGRkIAAD9O/fH1VVWbFixQn3/fTTT4mNjaVly5ZMmTIFh+PEz4i63W5sNlvQSzo9mqbxwax5hLS5OJCmoOC2lzJ32Wo2zP+SXasX4Sk5TFS7gQi3A11oFDpLGI6dKylZ9zOe3J0YouuCEGUrJwmB8HnQXKUoRguu3asIa9QRHX4iYmLI2/A7rvgWhHUdRUjbwRBVB/uW37HZHRxwKvzv298YMflJ3vvkyyqsGelsk99fqaapES3h3Nxc4uPjg9L0ej3R0dHk5uYed78xY8aQmppKcnIyf/31F/fffz/btm3j22+/Pe4+U6dO5bHHHjtjZT8fud1unH4FvcEcSDu85me8LgcR/W9FeJw4dq7A4yhFaBp4nSiKijtvN6GtLkBnDkUxhWDftAjbqu8IadYTv70Q9/7NWJp2w/7XL5jrNCW0XnPioyNwr55JvS6DKTHo8bm9oGmYopOx525j3+oF+FwOhEdjyZ/r2bxjJw1T69CnZ/cqrCHpbJHfX6mmqdKW8AMPPFBh4NSxr61bt/7j4990000MGDCAVq1acdVVV/HRRx8xc+ZMdu3addx9pkyZQnFxceC1b9++f3z+85XZbCYx3IqnIAsA9+Fs/H4/Ye2HoguJJCS+HuEdhuGz5eM6dICQRp1wH9iCIboO7pwdOHb+iW3Ft/hKChCKgu3Pb/HZChCaH/u6OSiaF11JDnF6F6a9f9CibiRRaS1okFqHmDAzBkXDZDTicdrRRdcjtNWFRPW8ioj+N1GkRjH15beqtoKks0Z+f6WapkpbwnfffTfjx48/YZ4GDRqQmJhIfn5+ULrP5+Pw4cOndb+3c+fOAOzcuZOGDRtWmsdkMmEymU75mFJFiqIw+bqR3P38dFz0w3FgO+b67UFoqCqggNlsxJfYAPavw7X2ewyRiVgbdULRG8u6oA0mStbPQ9EbMDXugmPDL4R2GIpOpyclIQav24nY+AOfvvcim7ft4LHvN2GwNiM5KYGCg4cpcdjwF+ZiaNYTnTkEVB0AoW0GsH7+S1VaP9LZI7+/Uk1TpUE4Li6OuLi4k+br2rUrRUVFrF69mvbt2wPw66+/omlaILCeinXr1gGQlJT0j8ornboRQwcTGxXJtNens2LnX+ji6qMPjUYoejxeH3qdik4RtG2axvqNm9FnXFS2XWigqGguO4aYuviKclAVBUv9dhijkkDzk3vwMOmNG+Dw9mLrjp306NqZOl/OJs9RB6M1jPjYGMILc8lWQR8aDWhlg7tUHYqqYrTIGbPON4p8REmqpmrEwKzmzZtz8cUXc+ONN7Jy5UqWLl3KxIkTGT16dGBk9IEDB2jWrBkrV64EYNeuXTzxxBOsXr2arKwsvv/+e8aOHUuvXr1o3bp1VV7OeaNPz+68/vSDtOg+AN3hTIS7BIQGqg6v24N2YBO3jR2OwWQqm9tZ1aGoOoSm4dy1Ck/OdnQh0ZRsXgymEBACVB1+oeD3a+giEtiRuRdVVXnj6f+jm24nIbsXEJ75K0OSSkmwqvjshfgcJWheNz57Md6iXNJTYqq6aqRzTJVRWKqmasTALCgb5Txx4kQuuOACVFVl+PDh/O9//wts93q9bNu2LTD62Wg08ssvv/DSSy9ht9tJSUlh+PDhPPTQQ1V1Ceeln3/9HWvjLiSZt5Ozcxm+yDr4nKV4Mlfz+E2XcWGfnjRuOZ9V29ahxaSA3oArcw2G2BRMKc3RRyRgTmmBY/tyjLH10JmtKAhUVUUr2EmPkUMBCAkJ4ZF7JgWde8OGLXy7YQEhbQejGs34vUXYV//AjQ9eVxVVIVUhVc7WIVVTNSYIR0dHn3BijrS0tMDUiAApKSn89ttv56Jo0gkkxkXj21NEQrMOxDZshe3ALnSmeqgpcQy+eEBZnlA9KW37kbVuDqolAlf+bsI7XQ5+H5rbgc4ajqIz4Nq/GVNSY2JCrDgL9tAu2k/jxo2Oe+5izLTqPYhdqxbh9vmwWEPoOPwWFq5ez/Bhl56rKpCqAX2N6POTzkfyoymdVYMH9Meaux6haegMJqLS0gmJSaaerpCkpCQ8Hg8Trx5GyaaFRLcfTGR6d/QhUSiAITwWvC58tgLMqW2w/zWfqM3f0ont3JARxrSH7j7hud0auArzMKgKJrMFxe/BXVqI26edm4uXqg2d7I6Wqqka0xKWaiaTycRz997IE69+SIEWgiL8RGlFeFG57O5nyd+3C7fXh8kSwb75b2IOi8KkeVH1BlBVVL0RS1gEfpeDxPrJLPnuE7Zv305kZORJp6D0F+WQK4xY2gwGQAiNnWt+pG/P+ufi0qVqRC+7o6VqSgZh6bTY7Xbe/PAztu4rwKxXGDOkP107lc1kVlRUxFsffcGe/CIirEZuHnM5aWmpNG3ciEcnjee1j76g1Oll9YY9JF54M8X7tnE4Qo8ptQ06v506jXpTevAAkZSSv3EuSp3W6KwR2LL249k4l44dm3HFXU9TbE3G6LWTarDxwsN3ERERUWlZTaFRWEIbovm9qDoDwu8lonk3Stz7z2WVSdWAXic7/aTqSQZh6ZS53W5uuO9JDtXphim5GULTeHjGYm7Ozad/z65c98B/cTTogzGhBVleDzdNfY//3jqC/EOHef7bJRgbdecgRRxMjiLvh/cwhkZhzrgERVFwexRSE2MoNBspWf4FF7Vuwh8r5+GNbkhMfB3CB49n8eb1JLbIICmhbPa0bLeTB595lVeferDS8vr0FuqnJHG4sAiPx05IiJmIpHqU5MoJHM43R48XkaTqRAZh6ZR9OWs2BXFtsYRFAaCoKpaGnfhi3ly27tiNs2HfwDO4OoMRtcWFvPrJTErdfszNLiQnr4DDpW7UmFR8fo2DK74mqXlfdOZQhFL2aFJifBxpLdK5tG8H9oU0xRqfCsDO378jtHkvSt1O/H4/Op0OvcnCriI/DoejwupYXq+XA1k7sVuaIwQYdApmsxnN6yY+3Ix0fpHjAKTqSvbRSKfsr+1ZWGIqrlhVooayfV8ehmMmwVAUhZwiB0WEUGwrpcSrYAiJQFF1mJKbYEhuRtH6+QDohA+TyYTm91En0sT6LTuxxKYEjqX5/aDq0BQ9Xq83kO4/5n25/zz7CmrdNtgz14M5DK8xjD37s/FvnsfE8aPPVJVINYRXrmUoVVMyCEunrE5cFB57cYV0k99BdJgVze+rsC3MrMeoOSkuLUUxmlFVBVUBzVWCISQSX2kh7oK9RIdZ8dptqJvncM+NV9OhTXOc+ZmB48SmNsW1bxOq8GE0GgDKWs4GV4V7wjabjXUH7CS06Epao6b4Ns7Fs3Ee/p3L6NcqTS5teR6Sw7Kk6kp2R0unbNyoy5h/3zREy0EoR0Ymuwr2cnHLelzcpzt3vvo17vB65O/cgN5oJDo6htG9O7Jjz3527z4IMaGAgl6vw7l+MXFN2uP1HmRkSjEOv42UqGiunTCFiIgIkpIS+Wz2QxwMi8MYEk5UWjr5W6aj9xbhj+uF216ENWcND957Y4VyFhYW4jGGowci6jQkok7ZPOFCCEocq85hjUnVhVEOzJKqKRmEpVMWFRXF/6bczHPvfEq2zYtJD4MymnDL+OtQFIV6Rju/7tyMoV47PF43tuxVxMV2YNRll5A1eQq/rFiFao1E53fRqG1XQmOSaBqZzhMP3lvhXDqdjrf/+xAvv/MRW/ccxKAqXHPTMFo3b8LcRUtJahTLpVMew2yueH+3Tp06hHsPcWy73Jmzg14Xtj1LtSNVZ0Y5W4dUTSlCDhs8IZvNRkREBMXFxYSHh1d1cc4Ir9fLlzNns3LzTkKMeq4bOZRGjSpfVepEHA4HX333I5n7cqhfJ46P/szF2rBjUB7D1jl89b/HUFWVx59/ld93F6PFNQH7QZI8+3nt8fuIjIw8Q1f2ty9mzuadhVswN+yEoupwHNxPA/sW3nrmkZM+XyzVHuXf3w7/+Y4/Hxta1cWRpApkS/g84/P5uOX+x8kKTcca1xXN5+XWFz/nrsu6MbB/31M+TmbWHm5/6jWcKZ0xR2Tw6SfTMbW4gDQhUI6anajQmMCuXbto0qQJj9wziZycHJb/uYbUlCa0y2gTlPdMGnXZJTRtkMon383F5fXTuVUjRl/2kAzA5yl5T1iqrmQQPs/MnjOfLGsTrHFlI49VvQFzs968/91cBvTrfcpB6uk3PkK0HIzlyDq91vhUSj1+CouKiI6KCuTT+5yEhYUF3iclJXH50MFn8IqOL6NNKzLatDon55KqNzk4WqquZLPgPLN83RasCRWnbSxSwjh06NApHUPTNA7YytbnLZfUojOe3X9S4nAF0vweF/VMdrl+s1Tl5F03qbqSLeHzTFxU2P+3d/9RUZX5H8Dflx8zMPwYQQYQBQTRyExySREsFzdWYDcLNVtrd7/gcdMvB21RaiPbREuWftjaqWitzQXbrbV1PWpZWUag2wZatnxNE1YMQyAQEAaHHzMwM98/PI6Nw+9fz8zwfp0z5zTPzDPzudXlPffe5z4PdJorkCk8zNpl+nazI9a+SJIEZ8mIH05/4OzqjuDwCFw+uQ8dnfPgqNch2FWHZ59IH7niiYjsDEN4nEn5xVJ8smkHjLMSTNdjtS2XED11Yo8jjXsiSRLmhPqi+MplyDy8Te0uXWq8+cxj8FVNhEKhgI+PT7+f9Z//+xrZuX9BxcV6eLrK8MDdcfjfVb8ctWvFND5xPWGyVgzhccbHxwc5aSvx4u59qO+QIJO6cWeYPx5/OHVQn7Pp4TXYlPMiTpd3QevsCU9dI1Jib8PtkddvATp//lu8secA1J1dmDFZhd/86n64u1+fVau6uhq/+O0WaP1mQXZzFNRtzcj+24doaWnG4xvXj9g2EznwRx1ZKd6i1A97vEXpGp1OBycnp2GNGG5ubkZjYyOCg4Mhk8lM7Z8f/wJb8j+A84yFcHByhvZKMzwvfob85580BXFKWgaKNH5wDZpt6mc06NH92S6cK9rHo2Eatmv779zNB3GCtyiRFeLArHFMJpMN+5YdLy8vTJ8+3SyAAWDnO+9DPvOuq+sCA5B7eKE18A688dZe03vOVNbCJXCWWT/JwRFal4m4cuXKsOoi+iEDjzXISjGEacQZjUY0dFj+0ZN7eOFc9SXTc28PVxi6LRdfcIYecrl8VGuk8YW3KJG1spkQzs7ORkxMDBQKxYBnWDIajdi8eTMmTZoEV1dXxMXF4dy5c6NbqJ3q7u7GC6++gft/uwX3rd+CR596Hs3NzT2+V5IkKBwtl47Td+mgdL1+xJy1YS10ZUdhMOgBXP3v1X2lEbdN8WAI04jiuCyyVjYTwjqdDitWrEBq6sAHED333HN46aWXsHPnThw/fhxubm6Ij49HZ2dn/53JzO+ffQmHG73QERYH7Yw4nHGbg7WbnkF7ezv+vu8gHsv+I179y1/R2toKAFg8dya09ddXQTIajej+7zE89MBSU1vM/Chk3D0b8jPvobv6FIznjmLWlS+R98enxnz7yL5xYBZZK5sbmJWfn4/09HS0tLT0+T6j0YiAgABkZGTgkUceAQCo1Wr4+fkhPz8fK1cObE1Zex6YNVBNTU14MOs1yG5aaNbe9n0FDN98AseIu6HwmYLO1ia4fPc5cn+/DoGBU/D6m3tw5MuzaOsC/NwcsXblzxE993aLz9doNDj19Wn4+aowbdrg57Am6s21/Xde1rs4vmWJ6HKILNjtLUqVlZWoq6tDXFycqU2pVCIqKgrFxcW9hrBWq4VWqzU9v3ZkN57V1NSg08UbshvaW42u0DiqMN1nCgDAxXMiDDMT8exrbyI3+wmsTX4Aa5Ov/iDqa6Szu7s7YqLnj+IW0HjR2/7LgVlkrWzmdPRg1dXVAQD8/PzM2v38/Eyv9SQnJwdKpdL0CAwMHNU6bUFISAjcOuot2tXV/8XE4HCzNgdHJ9SodWZtvNWIxkpv+y8zmKyV0BDOzMyEJEl9PsrKysa0pscffxxqtdr0uHjx4ph+vzXy8PDAT26ZjI7aclObtrURLjVfYUJQuMX7ZY4WTURjorf9l78DyVoJPR2dkZGBlJSUPt8TGho6pM/29/cHANTX15stIFBfX4/bbrut135yuZwjc3uQkboa094/jA8/O4puIzAnbDJuydqAPxz4D1xDI03v62y8iITZvK5LYvS2/3JgFlkroSGsUqmgUqlG5bNDQkLg7++PgoICU+i2trbi+PHjgxphPR7odDp89nkJ9Ho97lwQ3eMc0pIkYendiVh6d6KpzWAw4OPCf+PQh6/DccJkBHg4Im5WEFJX/WYsy+/XlStX0NDQgClTplhMKkLjAzOYrJXNDMyqqqrC5cuXUVVVBb1ej9LSUgBAWFiYaRrE8PBw5OTkYOnSpZAkCenp6di2bRumT5+OkJAQPPnkkwgICEBSUpK4DbEyxSe+xB927cOVieGQIMHtH58g/cFExP34jj77dXd3I23TNpxzDEbw4mhoLlXBUP81fn7XwmHPwjVS9Ho9tm5/BV9WqaGVTYC7rgn3RN+C1b+6X3RpREQAbCiEN2/ejN27d5uez5lzdaGAwsJCxMbGAgDKy8uhVqtN7/nd736HtrY2rFmzBi0tLbjjjjtw+PDhAa8WZO90Oh1ydu0DZv0cpkUMJ4Vix98PI2buj6BQKHrtu/fg+6hwuQluqqsDXzwnhcLoNxUv7NqDvBe2jHrtA/Hia3ko1k6GS3gkFAAMAP5eWoppwf9G7J0LRJdHY4gDs8haWcchywDk5+fDaDRaPK4FMHD1VpgfXmOWJAlPPfUU6urq0NnZiU8++QQzZswY++Kt1PETX0LtNd2ivcN3Jo4UHuuzb8nX/4VCZT5yXHJwwPftV8PdGpSUVcPFy9+szSUoAv/8qO9tI/ujN1jO4EZkDWwmhGnkGYy9/2Hqbw4XhbMjDPpui3Zn6OHkZB0nWLp6mDBYkiRo9TwsGm/0zGCyUgzhcSw6ah48my3n0na9dBY/XbSwhx7X/XrZz6CtKDZr07U24kehvlZzTThwgtxigYhOdQPmhPHe7/GGc0eTtbKOv5YkhEwmw2OrlsJ4+gNo6iqhqb8A/ekP8fD9cXBzc+uz78ybw5GWOAfO5R+h8/wJ6MsKESlV4onfru2zn06nwzfffIPa2tqR3JQeZaamwPnsh+hsroPRaET79xWY3HiSA7PGIUemMFkpm5s7eqyNh7mjtVotiv71Obr13Vh054I+B2TdSK/Xo66uDkql0jRKvTf73z+M3R/8G2qXSXDs0iDUpRPbf58+qv9eOzo6sPfg+zh3oRoLbp+Nny76MRwdOZvIeHFt/43a8i5Ksjh3NFkfhnA/xkMID5bBYIBGo4G7u/uATz1XVl7Amu1vwSX8x6a2bm07pjV/gVeynxitUmmcYwiTtbOOETRkM/6x/xD2fnocrUZXKIwdSJh3M9b8zwP9zg/95r5DcA41X6TBSa7A+ZbrgU40WnioQdaK14RpwIo++xx//td5dM6Ih+ymhegOj8c/y7V4658H+u3b0amFg5OzRbvBwdlqbmki+8UTfmStGMI0YO98UAT51B+ZtblMmo6Pik/12/fuuxag/eJpszajwQAfhzZ4e3uPaJ1EN2IEk7ViCNOAdep7XpawQ99/3wXzo7DAR4f2b7+EXqdFR3M9jKc/QOaaB0ehUiIi28BrwjRgU1We+L6jDc6u129fMui7EeBpeZr5RpIk4enMdJw+8w3eLziGSTN8cN8jmwc1EptoqLiKElkrhjAN2MOrf4lTjz+D1inRcFH6QNemhtP5fyHjybQBf8asW2Zi1i0zR7FKIiLbwdPRNGBeXl5484XNWDZZgxnNJVjsWYe/PfcYgoM4AxVZNx4Ik7XikTANipubG1JX/Up0GUSDwhAma8UjYSIiIkF4JEw9+u677/Dux4WY6DUBST9bzAFURESjgCFMFra/+gYOl12G0+Rb0V2rwVsfP41taQ9iTsStoksjIrIrPB1NZs6WlePDcjVcp8fAWeEBV+9JkGb9DDl/3sNZh8hm8X9dslYMYTKz99DHcLlhVixJknDZcSKqq6sFVUU0PAxhslYMYTLj6iKDvstyLmfJ0AW5XC6gIqLh41kcslY2E8LZ2dmIiYmBQqHAhAkTBtQnJSUFkiSZPRISEka3UBv36/vuhaGyxKzN0N2FQFk7fH19BVVFNDz9rfJFJIrNDMzS6XRYsWIFoqOjsWvXrgH3S0hIQF5enuk5j+b65u/vj/X3LsCf3/0ILYrJcOrqwGQ04ZknHhZdGtGQMYPJWtlMCG/duhUAkJ+fP6h+crkc/v7+o1CR/VqSEIf4nyxEWVkZ3N3dERoaKrokomHxUshEl0DUI5s5HT1URUVF8PX1xU033YTU1FQ0NTWJLskmyGQyzJ49mwFMdiFrCecrJ+tkM0fCQ5GQkIBly5YhJCQE58+fx6ZNm5CYmIji4mI4Ojr22Eer1UKr1Zqet7a2jlW5RDRMve2/MwOUokoi6pPQI+HMzEyLgVM3PsrKyob8+StXrsQ999yDW2+9FUlJSTh06BC++OILFBUV9donJycHSqXS9AgM5OIERLaC+y/ZGskocOx+Q0NDv6eHQ0NDIZNdv56Tn5+P9PR0tLS0DOk7VSoVtm3bhrVr1/b4ek+/pAMDA6FWq+Hp6Tmk7ySiscH9l2yN0NPRKpUKKpVqzL6vuroaTU1NmDRpUq/vkcvlHEFNZKO4/5KtsZmBWVVVVSgtLUVVVRX0ej1KS0tRWloKjUZjek94eDj2798PANBoNHj00UdRUlKCCxcuoKCgAPfeey/CwsIQHx8vajOIiIhMbGZg1ubNm7F7927T8zlz5gAACgsLERsbCwAoLy+HWq0GADg6OuLUqVPYvXs3WlpaEBAQgMWLF+Ppp5/mL2UiIrIKQq8J24LW1lYolUpeUyKyQdx/ydrZzOloIiIie8MQJiIiEoQhTEREJAhDmIiISBCGMBERkSAMYSIiIkEYwkRERIIwhImIiARhCBMREQnCECYiIhKEIUxERCQIQ5iIiEgQhjAREZEgDGEiIiJBGMJERESCMISJiIgEYQgTEREJwhAmIiIShCFMREQkiE2E8IULF7B69WqEhITA1dUV06ZNQ1ZWFnQ6XZ/9Ojs7kZaWhokTJ8Ld3R3Lly9HfX39GFVNRETUN5sI4bKyMhgMBrz22ms4c+YMduzYgZ07d2LTpk199tuwYQPee+897N27F0ePHkVtbS2WLVs2RlUTERH1TTIajUbRRQzF888/jz/96U/49ttve3xdrVZDpVLh7bffxn333QfgapjffPPNKC4uxvz58wf0Pa2trVAqlVCr1fD09Byx+olo9HH/JWtnE0fCPVGr1fD29u719ZMnT6KrqwtxcXGmtvDwcAQFBaG4uHgsSiQiIuqTk+gChqKiogIvv/wytm/f3ut76urqIJPJMGHCBLN2Pz8/1NXV9dpPq9VCq9WanqvVagBXf1ETkXgeHh6QJKnH127cf7nfkrUTGsKZmZl49tln+3zP2bNnER4ebnpeU1ODhIQErFixAg899NCI15STk4OtW7datAcGBo74dxHR4F26dAkqlarH13rbf4msldBrwg0NDWhqaurzPaGhoZDJZACA2tpaxMbGYv78+cjPz4eDQ+9n0z/99FPcddddaG5uNjsaDg4ORnp6OjZs2NBjvxt/Sbe0tCA4OBhVVVVQKpWD2Drb0draisDAQFy8eNEur5vZ+/YB42sbW1paet0Xb9x/jUYjdDodfHx8ej16JhJJ6JGwSqXq9RftjWpqarBo0SJERkYiLy+vzwAGgMjISDg7O6OgoADLly8HAJSXl6OqqgrR0dG99pPL5ZDL5RbtSqXSbv+4XePp6WnX22jv2weMj23sK0x723+JrJVNDMyqqalBbGwsgoKCsH37djQ0NKCurs7s2m5NTQ3Cw8Nx4sQJAFdDc/Xq1di4cSMKCwtx8uRJrFq1CtHR0QMeGU1ERDSabGJg1pEjR1BRUYGKigpMmTLF7LVrZ9O7urpQXl6O9vZ202s7duyAg4MDli9fDq1Wi/j4eLz66qtjWjsREVFvbCKEU1JSkJKS0ud7pk6dihsvb7u4uCA3Nxe5ublD/m65XI6srCy7PsVl79to79sHcBuJbJXNTtZBRERk62zimjAREZE9YggTEREJwhAmIiIShCE8QENdTtHWZGdnIyYmBgqFwmLKT1uVm5uLqVOnwsXFBVFRUabb2OzBsWPHsGTJEgQEBECSJBw4cEB0SSMuJycHc+fOhYeHB3x9fZGUlITy8nLRZRGNCIbwAA11OUVbo9PpsGLFCqSmpoouZUS888472LhxI7KysvDVV18hIiIC8fHxuHTpkujSRkRbWxsiIiKGdQeAtTt69CjS0tJQUlKCI0eOoKurC4sXL0ZbW5vo0oiGjaOjh6G/5RRtWX5+PtLT09HS0iK6lGGJiorC3Llz8corrwAADAYDAgMDsX79emRmZgqubmRJkoT9+/cjKSlJdCmjqqGhAb6+vjh69CgWLlwouhyiYeGR8DD0t5wiiaXT6XDy5Emz5SwdHBwQFxfH5Sxt2LWVzbjvkT1gCA/RteUU165dK7oU6kVjYyP0ej38/PzM2vtbzpKsl8FgQHp6OhYsWIBZs2aJLodo2MZ9CGdmZkKSpD4fZWVlZn1GeznFkTaUbSSyRmlpaTh9+jT27NkjuhSiEWET01aOpoyMjH6nxAwNDTX9c21tLRYtWoSYmBi8/vrro1zdyBjsNtoLHx8fODo6or6+3qy9vr4e/v7+gqqioVq3bh0OHTqEY8eOWcwhT2Srxn0Ij+ZyitZiMNtoT2QyGSIjI1FQUGAarGQwGFBQUIB169aJLY4GzGg0Yv369di/fz+KiooQEhIiuiSiETPuQ3igri2nGBwcbFpO8Rp7OqqqqqrC5cuXUVVVBb1ej9LSUgBAWFgY3N3dxRY3BBs3bkRycjJuv/12zJs3Dy+++CLa2tqwatUq0aWNCI1Gg4qKCtPzyspKlJaWwtvbG0FBQQIrGzlpaWl4++23cfDgQXh4eJiu5yuVSri6ugqujmiYjDQgeXl5RgA9PuxJcnJyj9tYWFgourQhe/nll41BQUFGmUxmnDdvnrGkpER0SSOmsLCwx/9eycnJoksbMb3td3l5eaJLIxo23idMREQkiG1c1CQiIrJDDGEiIiJBGMJERESCMISJiIgEYQgTEREJwhAmIiIShCFMREQkCEOYiIhIEIYwERGRIAxhsmvHjh3DkiVLEBAQAEmScODAAdElERGZMITJrrW1tSEiIgK5ubmiSyEissBVlMiuJSYmIjExUXQZREQ94pEwERGRIAxhIiIiQRjCREREgjCEiYiIBGEIExERCcLR0WTXNBoNKioqTM8rKytRWloKb29vBAUFCayMiAiQjEajUXQRRKOlqKgIixYtsmhPTk5Gfn7+2BdERPQDDGEiIiJBeE2YiIhIEIYwERGRIAxhIiIiQRjCREREgjCEiYiIBGEIExERCcIQJiIiEoQhTEREJAhDmIiISBCGMBERkSAMYSIiIkEYwkRERIL8PwzQyisY0OHtAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=8e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=0.00016, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=0.00032, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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46623sHHjRrXOVu7fv4+uXbsiMzMTERERcHBwKL8doFdGpb4nbGVlBV9fX7XJyMgIwH9nqPmdO3cOANTud77Ixx9/DCEEAgMDkZ6errYsNjYWU6dOhYODA8aMGfOSe1Ow5s2bw9XVFUuWLMGjR4/UlhXlzKJHjx7IycnBN998o1b+5ZdfQqFQoHv37qUZ7gvt3r0bwLM/ooBnvZHFxcVhxIgR6N+/v8Y0aNAgHD16FLdv3y7XOK9du6bWs1dubi5+++23Yn1/TExM8MEHHyAmJgbTp0/XWL53716EhYXBz88Pbdq0KZW4tfH394eenh7mzJmj8RR1Ub9D586dQ2RkpFSWmpqK1atXw8XFpUiXuUtT3pPked+hvLPgqVOnanx/Bg4ciI4dO6o9W5CamooePXrg1q1b2LdvH+rWrVuu8dOro1KfCRfm6dOn8Pb2xvjx41GzZk2cO3cO33//Pd58802N9z8L06FDByxatAiTJk1C06ZNERgYCAcHB0RHR+Pbb79Fbm4u9u3bV6x1Fpeenh5WrFiB3r17w8PDAyNGjJBiuHTpEg4ePFho+969e8PHxwfTp09HXFwc3N3dcejQIezcuRPBwcHFSirF9ffff0uXmtPS0nDmzBmsXbsWderUwVtvvQXg2S9QfX196bLi8/r06YPp06dj06ZN0itV69evx40bN6QkeeLECXz66acAgLfeeqtUzszybjOMHDkSxsbGCA8Px6VLl4p933DatGm4ePEi5s+fj8jISPTr1w/GxsY4efIkfvzxRzRs2BBr16596XgLU6dOHUyfPh1z585F+/bt8cYbb0CpVOLXX3+Fo6Oj1neYn9+Hn376Cd27d8d7770Ha2trrF27FrGxsdi2bdtL3wIpzP/+9z9kZGQAAB48eIBdu3bh+PHjGDx4sPTK4YYNG+Dh4aFxvzxPnz59MGHCBFy4cAHNmzfHsGHDcO7cObz99tu4cuWK2rvBZmZmBd46ICo2uR7LllNAQIAwNjYWkydPFk5OTsLIyEjUq1dPfPTRRyXuQerEiROib9++olq1asLAwEDUrFlTjBo1SsTFxWndft4rUvl17NhRNGrUSKM873WYPM+/opTn5MmTokuXLsLc3FyYmpqKpk2bqr02VNB2hXj2OsnEiROFo6OjMDAwEHXr1hULFy7U6BYSBfRy5ezsLAICArSuuyB47tUSfX19UaNGDTF69GiRmJgohBAiKytLVK1aVbRv377Qdbm6uopmzZpJ8x07dizwFajnPzdtcRXlFaWWLVuKN954Q1SrVk2Ym5uLZs2aiR9++KHArjQLk5OTI9asWSPatm0rLCwshJGRkWjUqJGYPXu21u/k89+J/LE///OJjY0VAMTChQulsudfUcrzww8/iGbNmgmlUimsrKxEx44dxeHDh1+4XSGE+Oeff0T//v2FpaWlMDIyEq1btxZ79uxRq1NQL1d5Mb7oc9e2rvyToaGhaNCggZg3b57IysoSQghx/vx5AUB88sknBa4rLi5OABATJ06U9rOg74+zs3ORYyR6EYUQpfQkhA4JDAzE1q1bpftFRMXl4uKCxo0ba3SgQURUHJX6njAREVFF9sreE36R5ORkjQetnlfYk9avqpycHKkP5YKYmZnBzMysnCKST1JSEnJycgpcbmhoWKwuLl8V6enpSE5OLrSOtbW1WmcfRLqKSbgA77///gsfhnkFr+S/0M2bNwvsRzvPzJkzS31834qoVatWGh2d5NexY0eNQTjoWacaL3rd7OjRo+jUqVP5BERUhl7Je8JFcfny5Re+8lKSd3Iru4yMDJw8ebLQOgW9m1vZnDp1qtCrKVZWVmjRokU5RqQb7ty5g0uXLhVap0WLFmX6xgFReWESJiKSUWBgINauXYvQ0FBMmzZNKt+xYwdef/11XnGr5PhgFhGRzIyMjDB//vwS9Z1Nuo1JmIjo/138/U+M+2gehkyai7Ehn+Li73+Wy3Z9fX1hb29faKco27ZtQ6NGjaBUKuHi4oLFixerLXdxccFnn32Gt99+G+bm5qhZsyZWr14tLc/KykJQUBAcHBxgZGQEZ2dnaXtvv/22Rreo2dnZsLW1xffffw/g2WAp7733HqZOnQpra2vY29trPNsRHx+Pvn37wszMDBYWFhg4cCASExOl5bNmzYKHhwfWr18PFxcXqFQqDB48WBqkZN26dahatSoyMzPV1uvv7y913pO3jh9++AE1a9aEmZkZxo0bh5ycHCxYsAD29vawtbXFvHnzihVbYGCgRicswcHBas8ebN26FU2aNIGxsTGqVq0KX19fpKamav15FRWTMBERniXgD1eGI96uPZ64+uCmfQd8uDK8XBKxvr4+PvvsMyxduhT//vuvxvLz589j4MCBGDx4MP7880/MmjULn3zyCcLCwtTqLV68GC1btsTFixcxbtw4jB07Vuqe9+uvv8auXbvw888/IyYmBhs2bICLiwuAZ8OqHjhwAHfu3JHWtWfPHqSlpWHQoEFS2dq1a2FqaoqzZ89iwYIFmDNnjtQ/f25uLvr27YsHDx7g+PHjOHz4MK5fv67WHng2YteOHTuwZ88e7NmzB8ePH8fnn38OABgwYABycnKwa9cuqf7du3exd+9evP3222rr2L9/Pw4cOICffvoJ33//PXr27Il///0Xx48fx/z58/Hxxx/j7NmzxYqtMHfu3MGQIUOkXtSOHTuGN9544+VvF8jWTQgRFVtGRoYYMWKEcHJyEubm5sLT01OcPn1a7rAqhbEhn4qeS46LXl//T5p6LjkuxoZ8WqbbDQgIEH379hVCCNGmTRvx9ttvCyGECA8Pl3o1Gzp0qOjSpYtauylTpgg3Nzdp3tnZWbz55pvSfG5urrC1tRUrVqwQQggxYcIE0blz5wJ7dHNzcxPz58+X5nv37i0CAwOl+Y4dO4p27dqptWnVqpX48MMPhRBCHDp0SOjr64v4+Hhp+aVLlwQAce7cOSHEs57aTExMREpKitp+eHp6SvNjx44V3bt3l+YXL14satWqJcWtbR1+fn7CxcVF5OTkSGX169cXoaGhRY4t/88hz/vvvy86duwohPiv5zVtvSC+DJ4JE+mQp0+fwsXFBSdPnsSjR48QHByM3r17s/e3UvAwIxeK5/q4Vujp4WFGbgEtSt/8+fOxdu1atb6qgWfjaT8/BGPbtm1x9epVtXfRmzZtKv1boVDA3t4ed+/eBfDscmtUVBTq16+P9957D4cOHVJb38iRI7FmzRoAQGJiIvbv36929vn8+gHAwcFBWv+VK1fg5OSk1j+3m5sbLC0t1fbHxcVFbbS2/OsAgFGjRuHQoUO4desWACAsLAyBgYFq46w/vw47Ozu4ubmp9VFuZ2dX7NgK4+7ujtdeew1NmjTBgAED8O2335bKPXwmYSIdYmpqihkzZqBmzZrQ09PD4MGDYWhoqHUYQSoeKyM9iOdHkMrNhZVR+f2a7NChA/z8/BASElKi9gYGBmrzCoVCGhWrefPmiI2Nxdy5c5Geno6BAwdKY2EDz8bWvn79OiIjI/Hjjz/C1dUV7du3L/L6SyNGAGjWrBnc3d2xbt06nD9/HpcuXUJgYOAL1/Gysenp6WlcWs7Ozpb+ra+vj8OHD2P//v1wc3PD0qVLUb9+fY0x6ouLSZgqjczMTHz44YdwdHSEsbExPD09NcaTLsjVq1cxePBg1KhRAyYmJmjQoAHmzJmjNlQhABw7dgwKhULrdObMmRLHfvDgQbV1GRgYoE6dOpg1axaysrIKjfvBgweoU6dOibedX0k/w7wzlYKmvLMaALh06RIGDBiAWrVqwcTEBNWqVUOHDh2kISzlMmpQH2RFH5MSscjNRVb0MYwa1Kdc4/j888+xe/dutWEhGzZsiFOnTqnVO3XqFOrVq6d1DOqCWFhYYNCgQfj222+xefNmbNu2DQ8ePAAAVK1aFf7+/lizZg3CwsKKPT53w4YNcfPmTdy8eVMqu3z5Mh49elTsoSxHjhyJsLAwrFmzBr6+vgWOflWasdnY2KjdEweAqKgotXmFQoG2bdti9uzZuHjxIgwNDREeHv5SsbHHLKo08gbmCA4ORt26dREWFoYePXrg6NGjaNeuXYHtbt68idatW0OlUiEoKAjW1taIjIzEzJkzcf78eezcuVOjzXvvvYdWrVqplb1MIvz9998BAF988QVsbGyQlpaGLVu2YPbs2cjMzNT61Gx6ejrefPNNhISEQKVSlXjb+ZX0MxwzZoxG5zVCCLz77rtwcXFB9erVpfIbN27g8ePHCAgIgKOjI9LS0rBt2zb06dMHq1atwujRo0tlX4qrmXsTzH8X+HbzLjzMeHYGPOrd19HMvUm5xtGkSRMMGzYMX3/9tVQ2efJktGrVCnPnzsWgQYMQGRmJb775BsuXLy/yer/44gs4ODigWbNm0NPTw5YtW2Bvbw9LS0upzsiRI9GrVy/k5OQgICCgWHH7+vpKsS9ZsgRPnz7FuHHj0LFjR7Rs2bJY6xo6dCg++OADfPvtt1i3bl2x2pY0ts6dO2PhwoVYt24dvLy88OOPP+Kvv/5Cs2bNAABnz55FREQEunbtCltbW5w9exZJSUlo2LDhywVXqneYSeeVdChHuZ09e1ZjuL709HRRu3Zt4eXlVWjbefPmCQDir7/+UisfPny4ACAePHgglRU0FN/LGjZsmDAyMhJPnz6VyjIzM4W9vb1wdXXVqJ+VlSV69uwphg4dWqKhE7V5mc9Qm//9738CgJg3b94L6z59+lS4u7uL+vXrF3s7uk7bA0GxsbHC0NBQbbjJrVu3Cjc3N2mo1Pw/JyGePZj15ZdfqpW5u7uLmTNnCiGEWL16tfDw8BCmpqbCwsJCvPbaa+LChQtq9XNzc4Wzs7Po0aOHRpwdO3YU77//vlpZ37591YYwvXHjhujTp48wNTUV5ubmYsCAASIhIUFaPnPmTOHu7q62ji+//FLr8JBvvfWWsLa2FhkZGWrl2tah7TN8Pt4XxSaEEDNmzBB2dnZCpVKJiRMniqCgIOnBrMuXLws/Pz9hY2MjlEqlqFevntpQsSXFJFwB5I3teuXKFTFgwABhbm4urK2txXvvvSfS09PV6v77779ixIgRwtbWVhgaGgo3Nzfx/fffq9WJi4sTY8eOFfXq1RNGRkbC2tpa9O/fX8TGxmrd7qVLl8SQIUOEpaWl8PDwEEIIkZKSIt5//33h7OwsDA0NhY2NjfD19RXnz59XW8eFCxdEt27dpDGMO3fuLCIjI7Vu5+rVqyIgIECoVCphYWEhAgMDRWpqaql8hlOmTBH6+voiOTlZrfyzzz4TANSeinzehx9+KACIpKQkjXI9PT21P0zyJ+GUlBSRnZ1dKvE3btxYtGjRQqO8efPmwtraWq0sJydHDBo0SPTq1avUti/Ey32G2owdO1YoFAqN711BevXqJezs7Iq1DSpdjx8/FhYWFmLbtm1yhyI6d+4sJkyYIHcYZY6XoyuQgQMHwsXFBaGhoThz5gy+/vprPHz4ULock5iYiDZt2kChUCAoKAg2NjbYv38/3nnnHaSkpCA4OBgA8Ouvv+L06dPSPc64uDisWLECnTp1wuXLl2FiYqK23QEDBqBu3br47LPPpAcT3n33XWzduhVBQUFwc3PD/fv3cfLkSVy5cgXNmzcH8OzeXvv27WFhYYGpU6fCwMAAq1atQqdOnXD8+HF4enpq7J+rqytCQ0Nx4cIFfPfdd7C1tcX8+fOlOtnZ2S8cQSePtbW19DTkxYsXUa9ePVhYWKjVad26NYBn93YKuq/UqVMnzJ8/H++88w5mz56NqlWr4vTp01ixYgXee+89mJqaarQZMWIEnjx5An19fbRv3x4LFy4s9iW3PFlZWYiJiZE6I8hz+/ZtXL58GR07dlQrHzNmDO7cuYODBw+iShXNQ1iOz1BbDD///DO8vb2ld1Gfl5qaKo2YtGvXLuzfv79Y721S6cnNzcW9e/ewePFiWFpaok+f8r0Pnt/Dhw9x7NgxHDt2rFiX23WW3H8F0H9nin369FErHzdunAAgfv/9dyGEEO+8845wcHAQ9+7dU6s3ePBgoVKpRFpamhBCSP/PLzIyUgAQ69at09jukCFDNOqrVCoxfvz4QuP29/cXhoaG4p9//pHKbt++LczNzUWHDh00tpP3/mOe119/XVStWlWtLO9MsyhT/jOsRo0aic6dO2vEmPcu4MqVKwvdl7lz5wpjY2O19U+fPl2j3qlTp0S/fv3E999/L3bu3ClCQ0NF1apVhZGRkcalvaK6ePGiACDmzp0rkpKSxO3bt8WBAweEu7u7MDU1Fb/++qtUNy4uTgAQRkZGwtTUVJpOnDgh1ZHrM8xv9+7dAoBYvnx5gXXGjBkjxaGnpyf69++vdumfyk9sbKwAIGrUqCGOHDkiayzOzs7CwsJC43J7ZcUz4Qpk/PjxavMTJkzA8uXLsW/fPjRp0gTbtm3DwIEDIYTAvXv3pHp+fn7YtGkTLly4gLZt28LY2Fhalp2djZSUFNSpUweWlpa4cOGCxhnXu+++qxGLpaUlzp49i9u3b8PR0VFjeU5ODg4dOgR/f3+1EZEcHBwwdOhQfPvtt0hJSVE7q3p+O+3bt0d4eLhaPXd39yI/0Zx/POf09HQolUqNOkZGRtLywri4uKBDhw7o168fqlatir179+Kzzz6Dvb09goKCpHre3t7w9vaW5vv06YP+/fujadOmCAkJwYEDB4oUe35//PEHAOCTTz7BJ598IpV36tQJJ0+ehIeHh1Tm7Oz8wh565PoM89u4cSMMDAwwcODAAusEBwejf//+uH37Nn7++Wfk5OQU+iQ4lR0XF5cKM1BEXFyc3CGUKybhCqRu3bpq87Vr14aenh7i4uKQlJSER48eYfXq1Wr9weaX92J6eno6QkNDsWbNGty6dUvt4NJ2mVLb+L8LFixAQEAAnJyc0KJFC/To0QPDhw+XEm5SUhLS0tJQv359jbYNGzZEbm4ubt68iUaNGknlNWvWVKuXNxTdw4cPpSRsZWVVoiEijY2NNfqbBZ4NrZi3vCCbNm3C6NGj8ffff6NGjRoAgDfeeAO5ubn48MMPMWTIEFStWrXA9nXq1EHfvn2xfft25OTkFOuVEeC/J6P37t0LQ0NDJCYmIjQ0FOfPny/RU89yfIb5PXnyBDt37oSfn1+hn1uDBg3QoEEDAM/eUe3atSt69+6Ns2fPqnXMQFSZMQlXYPl/EeW9dP7mm28W+OpAXm82EyZMwJo1axAcHAwvLy+oVCooFAoMHjxY68vr2n65Dhw4UDpTPXToEBYuXIj58+dj+/bt6N69e4n2p6DklP+PhKysLOm9xRexsbGR1ung4KD2LmqevPf+tJ3N51m+fDmaNWsmJeA8ffr0QVhYGC5evPjCpObk5ISsrCykpqZq3FN9kT/++APOzs7o0aOHVNa8eXO4ublh+fLlWLhwYbHWJ8dnmN+OHTuQlpaGYcOGFTHiZ/r3748xY8bg77//1vrHHVFlxCRcgVy9elXtrPTatWvIzc2Fi4sLbGxsYG5ujpycnBcmhK1btyIgIEBtlJWMjAw8evSoWPE4ODhg3LhxGDduHO7evYvmzZtj3rx56N69O2xsbGBiYqK1p6bo6Gjo6emV6AX706dPw8fHp0h1Y2NjpYd+PDw8cPToUY1L4HkduOe/pPu8xMRErQPE5/WW8/Tp0xfGcv36dRgZGcHMzKxIsef3xx9/SA8/5WnYsCFatmyJbdu2FTsJy/EZ5rdhwwaYmZkV++GevMvdRX2ojKgyYBKuQJYtW4auXbtK80uXLgUAdO/eHfr6+ujXrx82btyIv/76C40bN1Zrm5SUBBsbGwDPzjifv7+zdOlStT5mC5OTk4MnT56oXQq1tbWFo6OjdLlSX18fXbt2xc6dOxEXFyf9Ik9MTMTGjRvRrl27Yp8RAiW/n9m/f38sWrQIq1evxgcffADgWe9Pa9asgaenp/QHQVpaGuLj41GtWjVUq1YNAFCvXj0cOnQIf//9N+rVqyet86effoKenp5af7n5P+c8v//+O3bt2oXu3bur9V1bFAkJCbh7967GzxN4dq9/3rx5uHLlSrE6BCjrzxDQ/jkCzz6fI0eOYMiQIRpP4ee5e/cubG1t1cqys7Oxbt06GBsbF7t3JSJdxiRcgcTGxqJPnz7o1q2b1H/r0KFD4e7uDuBZd3ZHjx6Fp6cnRo0aBTc3Nzx48AAXLlzAkSNHpEuQvXr1wvr166FSqeDm5obIyEgcOXKk0Ptz+T1+/Bg1atRA//794e7uDjMzMxw5cgS//vqr2tn1p59+isOHD6Ndu3YYN24cqlSpglWrViEzMxMLFiwo0WdQ0vuZnp6eGDBgAEJCQnD37l3UqVMHa9euRVxcnDQeKgCcO3cOPj4+mDlzpjQW6pQpU7B//360b98eQUFBqFq1Kvbs2YP9+/dj5MiRapdhBw0aBGNjY3h7e8PW1haXL1/G6tWrYWJiIg3HlkehUKBjx444duxYgXHn3Q9u0kSzV6auXbti3rx52Lt3b7GScFl/hoD2zxEANm/ejKdPnxZ6KXrMmDFISUlBhw4dUL16dSQkJGDDhg2Ijo7G4sWLS3Q1gUhnyfloNj2T9wrP5cuXRf/+/YW5ubmwsrISQUFBGp11JCYmivHjxwsnJydhYGAg7O3txWuvvSZWr14t1Xn48KEYMWKEqFatmjAzMxN+fn4iOjpaODs7q/Vuk7fd5zupyMzMFFOmTBHu7u5SJxzu7u5aXze5cOGC8PPzE2ZmZsLExET4+PhoDK1X0HbWrFmj8ZrMy0hPTxcffPCBsLe3F0qlUrRq1UocOHBACCFEyPY/xLbzN6XXd/J6Ecpz9uxZ0b17d2Fvby8MDAxEvXr1xLx58zQ6w/jqq69E69athbW1tahSpYpwcHAQb775prh69apavcePHwsAYvDgwYXGvGDBArXX0PLLysoS5ubmwsfHpwSfRskU9hnmV9Dn2KZNG2Fra6vW89fzfvrpJ+Hr6yvs7OxElSpVhJWVlfD19RU7d+4s7d0hqvAUQlSQ59JfYbNmzcLs2bORlJSkdmmPSo/LtL0AgLjPe5bL9vbt24devXrh999/13qWS/SqmTVrFnbs2KExKMKrjqMoEZWBo0ePYvDgwUzAVKikpCSMHTsWNWvWhFKphL29Pfz8/NRGTFIoFNixY0e5xZSQkIAJEyagVq1aUCqVcHJyQu/evREREVFuMbxKeE+YqAwU94lmejX169cPWVlZWLt2LWrVqoXExERERETg/v37ssQTFxeHtm3bwtLSEgsXLkSTJk2QnZ2NgwcPYvz48YiOjpYlrsqMZ8JERP/v8u8X8c30MVj1QX8snT4al3+/WGbbevToEf73v/9h/vz58PHxgbOzM1q3bo2QkBDp9a68tw5ef/11KBQKtX64V6xYgdq1a8PQ0BD169fH+vXr1davUCiwYsUKdO/eHcbGxqhVqxa2bt1aaEzjxo2DQqHAuXPn0K9fP9SrVw+NGjXCpEmT1MbLjo+PR9++fWFmZgYLCwsMHDgQiYmJauv6/PPPYWdnB3Nzc7zzzjtSpy95cnNzMWfOHNSoUQNKpRIeHh5qPc7FxcVBoVBg+/bt8PHxgYmJCdzd3dXGWa4U5L4pTVQenD/cI5w/3CN3GFSBXYq6IMKCOoic5e2FWPns/2FBHcSlqJL1Cf4i2dnZwszMTAQHB2sM15fn7t27AoBYs2aNuHPnjrh7964QQojt27cLAwMDsWzZMhETEyMWL14s9PX1xS+//CK1BSCqVq0qvv32WxETEyM+/vhjoa+vLy5fvqx1W/fv3xcKhUJ89tlnhcadk5MjPDw8RLt27cRvv/0mzpw5I1q0aCEN+SeEEJs3bxZKpVJ89913Ijo6WkyfPl2Ym5urDUH4xRdfCAsLC/HTTz+J6OhoMXXqVGFgYCD+/vtvIcR//Vk3aNBA7NmzR8TExIj+/fsLZ2fnUh09TG5MwvRKYBKmF1n60WgpAedNOcvbi6UfjS6zbW7dulVYWVkJIyMj4e3tLUJCQjSelAcgwsPD1cq8vb3FqFGj1MoGDBigNg4wAPHuu++q1fH09BRjx47VGkveeNLbt28vNOZDhw4JfX19taEt8wb5OHfunBBCCC8vLzFu3DiNbedPwo6OjhpjTbdq1Upql5eEv/vuO43tXLlypdAYdQkvRxMRATDIvA89PfU+q/X0FDDILFoXoCXRr18/3L59G7t27UK3bt1w7NgxNG/eHGFhYYW2u3LlCtq2batW1rZtW1y5ckWtzMvLS2P++Tp5RBFflLly5QqcnJzUOm9xc3ODpaWltO4rV65oDGWaP5aUlBTcvn27SPuQv7McBwcHAP/1k18ZMAkTEQHIVlZFbq56IsrNFchWWpfpdo2MjNClSxd88sknOH36NAIDAzFz5swy3aY2devWhUKhqHAPXxkYGEj/zutPX1sf+LqKSZiICEDnge9i/WWFlIhzcwXWX1ag80DNoT7LkpubG1JTU6V5AwMDjS5nGzZsqPYaEwCcOnVKo8vP/A9T5c0X1PuatbU1/Pz8sGzZMrXt58nre75hw4a4efMmbt68KS27fPkyHj16JG2/YcOGUp/j2mKxsLCAo6NjkfahsuMrSkREANzcmwEjl2D5zythkPkA2UprdB757rPyMnD//n0MGDAAb7/9Npo2bQpzc3P89ttvWLBgAfr27SvVc3FxQUREBNq2bQulUgkrKytMmTIFAwcORLNmzeDr64vdu3dj+/btOHLkiNo2tmzZgpYtW6Jdu3bYsGEDzp07p9EFaX7Lli1D27Zt0bp1a8yZMwdNmzbF06dPcfjwYaxYsQJXrlyBr68vmjRpgmHDhmHJkiV4+vQpxo0bh44dO6Jly5YAgPfffx+BgYFo2bIl2rZtiw0bNuDSpUtqY49PmTIFM2fORO3ateHh4YE1a9YgKioKGzZsKOVPuoKT+6Y0UXngg1lU0WRkZIhp06aJ5s2bC5VKJUxMTET9+vXFxx9/LNLS0qR6u3btEnXq1BFVqlQRzs7OUvny5ctFrVq1pG5W161bp7Z+AGLZsmWiS5cuQqlUChcXF7F58+YXxnX79m0xfvx44ezsLAwNDUX16tVFnz59xNGjR6U6N27cEH369BGmpqbC3NxcDBgwQCQkJKitZ968eVLXuQEBAWLq1KlqD2bl5OSIWbNmierVqwsDAwPh7u4u9u/fLy3PezDr4sWLUtnDhw8FALVYdB27raRXQnl3W0kkN4VCgfDwcPj7+8sdChWC94SJiIhkwiRMREQkEz6YRURUCfFOo27gmTAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkkypyB1DRCSHw+PFjucN4pQghcD7uIe6lZpawPaBQqJflZqYBAH4+HQMhnpU9X8e7TjVYGBmUaJtUfszNzaF4/odHpKMUQuT9SiJtkpKSYGtrK3cYRPT/7t69CxsbG7nDICoVPBN+AUNDQwDAzZs3YWFhIXM0ZSMlJQVOTk6Vdh8r+/4Br9Y+5h2TRJUBk/AL5F32srCwqLS/3PJU9n2s7PsHvBr7yEvRVJnwwSwiIiKZMAkTERHJhEn4BZRKJWbOnAmlUil3KGWmsu9jZd8/gPtIpKv4dDQREZFMeCZMREQkEyZhIiIimTAJExERyURnknBoaChatWoFc3Nz2Nrawt/fHzExMS9st2XLFjRo0ABGRkZo0qQJ9u3bVw7REhERvZjOJOHjx49j/PjxOHPmDA4fPozs7Gx07doVqampBbY5ffo0hgwZgnfeeQcXL16Ev78//P398ddff5Vj5ERERNrp7NPReX06Hz9+HB06dNBaZ9CgQUhNTcWePXuksjZt2sDDwwMrV64sr1CJiIi00tluK5OTkwEA1tbWBdaJjIzEpEmT1Mr8/PywY8eOAttkZmYiM/O/0XuEEMjKykK1atXYXR5RBcfjl3SNzlyOzi83NxfBwcFo27YtGjduXGC9hIQE2NnZqZXZ2dkhISGhwDahoaFQqVTSZGlpCVtbWw5nSKQDePySrtHJJDx+/Hj89ddf2LRpU6mvOyQkBMnJydJ08+bNUt8GEZUNHr+ka3TucnRQUBD27NmDEydOoEaNGoXWtbe3R2JiolpZYmIi7O3tC2yjVCrZLR6RjuLxS7pGZ86EhRAICgpCeHg4fvnlF7i6ur6wjZeXFyIiItTKDh8+DC8vr7IKk4iIqMh05kx4/Pjx2LhxI3bu3Alzc3Ppvq5KpYKxsTEAYPjw4ahevTpCQ0MBAO+//z46duyIxYsXo2fPnti0aRN+++03rF69Wrb9ICIiyqMzZ8IrVqxAcnIyOnXqBAcHB2navHmzVCc+Ph537tyR5r29vbFx40asXr0a7u7u2Lp1K3bs2FHow1xERETlRWffEy4vKSkpUKlUSE5OhoWFhdzhEFEx8Pilik5nzoSJiIgqGyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyUSnkvCJEyfQu3dvODo6QqFQYMeOHYXWP3bsGBQKhcaUkJBQPgETEREVQqeScGpqKtzd3bFs2bJitYuJicGdO3ekydbWtowiJCIiKroqcgdQHN27d0f37t2L3c7W1haWlpalHxAREdFL0Kkz4ZLy8PCAg4MDunTpglOnThVaNzMzEykpKWoTEekGHr+kayp1EnZwcMDKlSuxbds2bNu2DU5OTujUqRMuXLhQYJvQ0FCoVCppcnJyKseIiehl8PglXaMQQgi5gygJhUKB8PBw+Pv7F6tdx44dUbNmTaxfv17r8szMTGRmZkrzKSkpcHJyQnJyMiwsLF4mZCIqYzx+Sdfo1D3h0tC6dWucPHmywOVKpRJKpbIcIyKi0sLjl3RNpb4crU1UVBQcHBzkDoOIiEi3zoSfPHmCa9euSfOxsbGIioqCtbU1atasiZCQENy6dQvr1q0DACxZsgSurq5o1KgRMjIy8N133+GXX37BoUOH5NoFIiIiiU4l4d9++w0+Pj7S/KRJkwAAAQEBCAsLw507dxAfHy8tz8rKwuTJk3Hr1i2YmJigadOmOHLkiNo6iIiI5KKzD2aVl5SUFKhUKj7YQaSDePxSRffK3RMmIiKqKJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBOdSsInTpxA79694ejoCIVCgR07drywzbFjx9C8eXMolUrUqVMHYWFhZR4nERFRUehUEk5NTYW7uzuWLVtWpPqxsbHo2bMnfHx8EBUVheDgYIwcORIHDx4s40iJiIherIrcARRH9+7d0b179yLXX7lyJVxdXbF48WIAQMOGDXHy5El8+eWX8PPzK6swiYiIikSnzoSLKzIyEr6+vmplfn5+iIyMlCkiIiKi/+jUmXBxJSQkwM7OTq3Mzs4OKSkpSE9Ph7GxsUabzMxMZGZmSvMpKSllHicRlQ4ev6RrKvWZcEmEhoZCpVJJk5OTk9whEVER8fglXVOpk7C9vT0SExPVyhITE2FhYaH1LBgAQkJCkJycLE03b94sj1CJqBTw+CVdU6kvR3t5eWHfvn1qZYcPH4aXl1eBbZRKJZRKZVmHRkRlgMcv6RqdOhN+8uQJoqKiEBUVBeDZK0hRUVGIj48H8Oyv4OHDh0v13333XVy/fh1Tp05FdHQ0li9fjp9//hkTJ06UI3wiIiI1OpWEf/vtNzRr1gzNmjUDAEyaNAnNmjXDjBkzAAB37tyREjIAuLq6Yu/evTh8+DDc3d2xePFifPfdd3w9iYiIKgSFEELIHURFlpKSApVKheTkZFhYWMgdDhEVA49fquh06kyYiIioMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUx0LgkvW7YMLi4uMDIygqenJ86dO1dg3bCwMCgUCrXJyMioHKMlIiIqmE4l4c2bN2PSpEmYOXMmLly4AHd3d/j5+eHu3bsFtrGwsMCdO3ek6caNG+UYMRERUcF0Kgl/8cUXGDVqFEaMGAE3NzesXLkSJiYm+OGHHwpso1AoYG9vL012dnblGDEREVHBdCYJZ2Vl4fz58/D19ZXK9PT04Ovri8jIyALbPXnyBM7OznByckLfvn1x6dKl8giXiIjoharIHUBR3bt3Dzk5ORpnsnZ2doiOjtbapn79+vjhhx/QtGlTJCcnY9GiRfD29salS5dQo0YNrW0yMzORmZkpzaekpJTeThBRmeLxS7pGZ86ES8LLywvDhw+Hh4cHOnbsiO3bt8PGxgarVq0qsE1oaChUKpU0OTk5lWPERPQyePySrtGZJFytWjXo6+sjMTFRrTwxMRH29vZFWoeBgQGaNWuGa9euFVgnJCQEycnJ0nTz5s2XipuIyg+PX9I1OpOEDQ0N0aJFC0REREhlubm5iIiIgJeXV5HWkZOTgz///BMODg4F1lEqlbCwsFCbiEg38PglXaMz94QBYNKkSQgICEDLli3RunVrLFmyBKmpqRgxYgQAYPjw4ahevTpCQ0MBAHPmzEGbNm1Qp04dPHr0CAsXLsSNGzcwcuRIOXeDiIgIgI4l4UGDBiEpKQkzZsxAQkICPDw8cODAAelhrfj4eOjp/Xdy//DhQ4waNQoJCQmwsrJCixYtcPr0abi5ucm1C0RERBKFEELIHURFlpKSApVKheTkZF7aItIxPH6potOZe8JERESVDZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYXrlRUfHYPf+gxwAnojKnU4NZUhUmjIyMvD+jM9xLdsKwtwO+vt/Qks7fcwLmag2JCYRUVlhEqZKLT7+JlZv3IYHqZlwtbPCmOGDpSHtFi77DnFWLWFiZvmssk0N/JoUjx9/3o7hg/vLFzQRvTL45z5VWhd//xOj5q3GBcMmuGnbFkee1MDwKZ/i4cOHAIA/btyDYV4C/n/GNjVx4mKMDNFSWXqckS13CERaMQlTpbVsQzgMGnWFvoESAGBoaoGM2p2xLGxjoe1EeQRH5Wr+/mi5QyDSikmYKq2ktFwoFAq1MgNjM9y4mwIAaFjDGlmpKWrL0+/9i7ZN65RbjFQ+zsU9kDsEIq2YhKnSMtXyxIPIzYGZ4bOv/bSgkaiRdBZpcVFIf5CIjGtn4aF3E4FDBpRzpET0qtK5JLxs2TK4uLjAyMgInp6eOHfuXKH1t2zZggYNGsDIyAhNmjTBvn37yilSklvPth7IuK1+fzc9+gRe922L3NxcmJiY4LtFs/BlYCeMbmqIle+9jkUzp/DJ6ErouQsiRBWGQgihM7fANm/ejOHDh2PlypXw9PTEkiVLsGXLFsTExMDW1laj/unTp9GhQweEhoaiV69e2LhxI+bPn48LFy6gcePGRdpmSkoKVCoVkpOTpadqqWLKysrCL8dPIi09Hb6d2sPCwgIKhQIKIxMYmloi8/5tePYbDQvH2lCJx3jH/zV0e62T3GFTGco7ftvM3oXIGb3lDodIg04lYU9PT7Rq1QrffPMNACA3NxdOTk6YMGECpk2bplF/0KBBSE1NxZ49e6SyNm3awMPDAytXrizSNpmEdcPF3//EjGUb8MSmERRVlFDevYwDK2fDpHZLmLp3g2FVJ2Tc/AvplyOQFn8Zvb7+HzKij2HlpKGoXbuW3OFTGWESpoqu2Nfd0tPTcfLkSVy+fFljWUZGBtatW1cqgT0vKysL58+fh6+vr1Smp6cHX19fREZGam0TGRmpVh8A/Pz8CqxPuik3NxdzV/0E0bgnzOxdYVrNEVXcfGHi3BhVe06Cad3WMLB2gLl7F6g6jYSyqiMAwKC2N8K27pY5eiJ6lRWrs46///4bXbt2RXx8PBQKBdq1a4dNmzbBwcEBAJCcnIwRI0Zg+PDhpR7ovXv3kJOTAzs7O7VyOzs7REdrf/0gISFBa/2EhIQCt5OZmYnMzExpPiUlpcC6VDFER0fjgVF1mD93469KVWfoG5uplSkd6sCgmjMAQN/AEE9SssotTip7BR2/tx5mIOxUrMbT8gCQdzFQqJVBrexFFwz/qy/U5tXXoaXdc/WFEBDiWRshgNx8sf23TL2OwLMZoaW9gEBXN3t41a5aaPwkn2Il4Q8//BCNGzfGb7/9hkePHiE4OBht27bFsWPHULNmzbKKsVyFhoZi9uzZcodBxaCnpweIXM0FBfzizPuFmno3Hl7NG5RlaFTOCjt+Z+3WvHr3KlhzKg5xn/eUOwwqQLGS8OnTp3HkyBFUq1YN1apVw+7duzFu3Di0b98eR48ehampaVnFiWrVqkFfXx+JiYlq5YmJibC3t9faxt7evlj1ASAkJASTJk2S5lNSUuDk5PQSkVNZq1evHmwy1yI91x2KfE82Z9+LxdPUZFQxVUllGf9ewdN7N5CW8A9qZ17HG70/kSNkKiOFHb+hbzRB3nmwQgEooMD///fsAb688v9flv+kOf9yqez/16btyev8Rf8tV2gp+4+elhi0xvf/sSn+f5V583qK/2LW+/+FCgXgbG1S2EdGMitWEk5PT0eVKv81USgUWLFiBYKCgtCxY0ds3Fh4T0Qvw9DQEC1atEBERAT8/f0BPLsXGBERgaCgIK1tvLy8EBERgeDgYKns8OHD8PLyKnA7SqUSSqWyNEOnMqanp4dZEwLx8ZIf8FBVB6iihOmDq0i/eQX3934B00adYWDjjIwbfyDj6ilkPriDiR0c0d33Tejr68sdPpWigo7f6lZGGNK6clyto0pGFEOrVq3EunXrtC4bP368sLS0FHp6esVZZbFs2rRJKJVKERYWJi5fvixGjx4tLC0tRUJCghBCiLfeektMmzZNqn/q1ClRpUoVsWjRInHlyhUxc+ZMYWBgIP78888ibzM5OVkAEMnJyaW+P1S6nj59Kk6dPiMORxwVqampQgghfjlxSgAQBhbWAoCI/vuqzFFSeco7ftvM3iV3KERaFetM+PXXX8dPP/2Et956S2PZN998g9zc3CK/+lMSgwYNQlJSEmbMmIGEhAR4eHjgwIED0sNX8fHxah0teHt7Y+PGjfj444/x0UcfoW7dutixY0eR3xEm3aKvrw9vL0+1Mp/23i98qIaISC469Z6wHPieMJHu4nvCVNGxfz6q9KKjY7DnwCHcuXNH7lCIiNQU63I0kS5JS0vD+zMX4PpTK+Sa2cBw3zp41jDG7CkTtL4vSkRU3ngmTJXWZ1+vRnw1T5jUagEz25owrNsWp5JV2Lpzr9yhEREBYBKmSuzyvw9haGKuVmZiXxtHzv0hU0REROqYhKnSKvCJQz6K+MrJ1dKhGlFFwCRMlVZ9BxWy01PVytLvxqFjczeZIiK5cIhoqqj41aRKa/p7o2B36wTSbvyB9IeJyLh2Bi2UCRjcr4/coRERAeDT0VSJmZubI2zJp7hw8Xf8HXsDns36oVYtV7nDIiKSMAlTpaZQKNCiuQdaNPeQOxQiIg28HE1ERCQTJmEiIiKZ8HI0VSj379/H1t0HkJOTi/69/WBrayt3SEREZYZJmCqMHfsOYsXuSAinFlDo6WHHrFUIfK0phvbrK3doRERlgpejqUJIS0vDt7tPwtDNF0pzKxiaqqBs6IN1Ry4iOTlZ7vCIiMoEkzBVCJHnfkWqVR2N8ixbNxw6ekKGiIiIyh6TMFUIJkbGwNMsjXLxNBPmpqYyRESViU99O7lDINKKSZgqhNatWsAq+RpEvk5+hRAwv3cJnTu2kzEyqgwmdqkrdwhEWjEJU4Wgr6+PzyaNhHHMPjy5fgGPr1+EMnofZo8bBkNDQ7nDIx2nrKIvdwhEWimEEBxTphApKSlQqVRITk6GhYWF3OFUekIIXL16Fbm5uahXrx702PM+vQQev1TR8RUlqlAUCgXq1asndxhEROVCZ04zHjx4gGHDhsHCwgKWlpZ455138OTJk0LbdOrUCQqFQm169913yyliIiKiwunMmfCwYcNw584dHD58GNnZ2RgxYgRGjx6NjRs3Ftpu1KhRmDNnjjRvYmJS1qESEREViU4k4StXruDAgQP49ddf0bJlSwDA0qVL0aNHDyxatAiOjo4FtjUxMYG9vX15hUpERFRkOnE5OjIyEpaWllICBgBfX1/o6enh7NmzhbbdsGEDqlWrhsaNGyMkJARpaWmF1s/MzERKSoraRES6gccv6RqdOBNOSEjQ6Mi/SpUqsLa2RkJCQoHthg4dCmdnZzg6OuKPP/7Ahx9+iJiYGGzfvr3ANqGhoZg9e3apxU5E5YfHL+kaWc+Ep02bpvHg1PNTdHR0idc/evRo+Pn5oUmTJhg2bBjWrVuH8PBw/PPPPwW2CQkJQXJysjTdvHmzxNsnovLF45d0jaxnwpMnT0ZgYGChdWrVqgV7e3vcvXtXrfzp06d48OBBse73enp6AgCuXbuG2rVra62jVCqhVCqLvE4iqjh4/JKukTUJ29jYwMbG5oX1vLy88OjRI5w/fx4tWrQAAPzyyy/Izc2VEmtRREVFAQAcHBxKFC8REVFp0okHsxo2bIhu3bph1KhROHfuHE6dOoWgoCAMHjxYejL61q1baNCgAc6dOwcA+OeffzB37lycP38ecXFx2LVrF4YPH44OHTqgadOmcu4OERERAB1JwsCzp5wbNGiA1157DT169EC7du2wevVqaXl2djZiYmKkp58NDQ1x5MgRdO3aFQ0aNMDkyZPRr18/7N69W65dICIiUsO+o1+Afc8S6S4ev1TR6cyZMBERUWXDJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZ6EwSnjdvHry9vWFiYgJLS8sitRFCYMaMGXBwcICxsTF8fX1x9erVsg2UiIioiHQmCWdlZWHAgAEYO3ZskdssWLAAX3/9NVauXImzZ8/C1NQUfn5+yMjIKMNIiYiIikYhhBByB1EcYWFhCA4OxqNHjwqtJ4SAo6MjJk+ejA8++AAAkJycDDs7O4SFhWHw4MFF2l5KSgpUKhWSk5NhYWHxsuETUTni8UsVnc6cCRdXbGwsEhIS4OvrK5WpVCp4enoiMjKywHaZmZlISUlRm4hIN/D4JV1TaZNwQkICAMDOzk6t3M7OTlqmTWhoKFQqlTQ5OTmVaZxEVHp4/JKukTUJT5s2DQqFotApOjq6XGMKCQlBcnKyNN28ebNct09EJcfjl3RNFTk3PnnyZAQGBhZap1atWiVat729PQAgMTERDg4OUnliYiI8PDwKbKdUKqFUKku0TSKSF49f0jWyJmEbGxvY2NiUybpdXV1hb2+PiIgIKemmpKTg7NmzxXrCmoiIqKzozD3h+Ph4REVFIT4+Hjk5OYiKikJUVBSePHki1WnQoAHCw8MBAAqFAsHBwfj000+xa9cu/Pnnnxg+fDgcHR3h7+8v014QERH9R9Yz4eKYMWMG1q5dK803a9YMAHD06FF06tQJABATE4Pk5GSpztSpU5GamorRo0fj0aNHaNeuHQ4cOAAjI6NyjZ2IiEgbnXtPuLzxPUMi3cXjlyo6nbkcTUREVNkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmOpOE582bB29vb5iYmMDS0rJIbQIDA6FQKNSmbt26lW2gRERERVRF7gCKKisrCwMGDICXlxe+//77Irfr1q0b1qxZI80rlcqyCI+IiKjYdCYJz549GwAQFhZWrHZKpRL29vZlEBEREdHL0ZnL0SV17Ngx2Nraon79+hg7dizu378vd0hEREQAdOhMuCS6deuGN954A66urvjnn3/w0UcfoXv37oiMjIS+vr7WNpmZmcjMzJTmU1JSyitcInpJPH5J18h6Jjxt2jSNB6een6Kjo0u8/sGDB6NPnz5o0qQJ/P39sWfPHvz66684duxYgW1CQ0OhUqmkycnJqcTbJ6LyxeOXdI1CCCHk2nhSUtILLw/XqlULhoaG0nxYWBiCg4Px6NGjEm3TxsYGn376KcaMGaN1uba/pJ2cnJCcnAwLC4sSbZOIygePX9I1sl6OtrGxgY2NTblt799//8X9+/fh4OBQYB2lUsknqIl0FI9f0jU682BWfHw8oqKiEB8fj5ycHERFRSEqKgpPnjyR6jRo0ADh4eEAgCdPnmDKlCk4c+YM4uLiEBERgb59+6JOnTrw8/OTazeIiIgkOvNg1owZM7B27VppvlmzZgCAo0ePolOnTgCAmJgYJCcnAwD09fXxxx9/YO3atXj06BEcHR3RtWtXzJ07l38pExFRhSDrPWFdkJKSApVKxXtKRDqIxy9VdDpzOZqIiKiyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTHQiCcfFxeGdd96Bq6srjI2NUbt2bcycORNZWVmFtsvIyMD48eNRtWpVmJmZoV+/fkhMTCynqImIiAqnE0k4Ojoaubm5WLVqFS5duoQvv/wSK1euxEcffVRou4kTJ2L37t3YsmULjh8/jtu3b+ONN94op6iJiIgKpxBCCLmDKImFCxdixYoVuH79utblycnJsLGxwcaNG9G/f38Az5J5w4YNERkZiTZt2hRpOykpKVCpVEhOToaFhUWpxU9EZY/HL1V0OnEmrE1ycjKsra0LXH7+/HlkZ2fD19dXKmvQoAFq1qyJyMjI8giRiIioUFXkDqAkrl27hqVLl2LRokUF1klISIChoSEsLS3Vyu3s7JCQkFBgu8zMTGRmZkrzycnJAJ79RU1E8jM3N4dCodC67Pnjl8ctVXSyJuFp06Zh/vz5hda5cuUKGjRoIM3funUL3bp1w4ABAzBq1KhSjyk0NBSzZ8/WKHdycir1bRFR8d29exc2NjZalxV0/BJVVLLeE05KSsL9+/cLrVOrVi0YGhoCAG7fvo1OnTqhTZs2CAsLg55ewVfTf/nlF7z22mt4+PCh2tmws7MzgoODMXHiRK3tnv9L+tGjR3B2dkZ8fDxUKlUx9k53pKSkwMnJCTdv3qyU980q+/4Br9Y+Pnr0qMBj8fnjVwiBrKwsVKtWrcCzZyI5yXombGNjU+BftM+7desWfHx80KJFC6xZs6bQBAwALVq0gIGBASIiItCvXz8AQExMDOLj4+Hl5VVgO6VSCaVSqVGuUqkq7S+3PBYWFpV6Hyv7/gGvxj4WlkwLOn6JKiqdeDDr1q1b6NSpE2rWrIlFixYhKSkJCQkJavd2b926hQYNGuDcuXMAniXNd955B5MmTcLRo0dx/vx5jBgxAl5eXkV+MpqIiKgs6cSDWYcPH8a1a9dw7do11KhRQ21Z3tX07OxsxMTEIC0tTVr25ZdfQk9PD/369UNmZib8/PywfPnyco2diIioIDqRhAMDAxEYGFhoHRcXFzx/e9vIyAjLli3DsmXLSrxtpVKJmTNnVupLXJV9Hyv7/gHcRyJdpbOddRAREek6nbgnTEREVBkxCRMREcmESZiIiEgmTMJFVNLhFHXNvHnz4O3tDRMTE40uP3XVsmXL4OLiAiMjI3h6ekqvsVUGJ06cQO/eveHo6AiFQoEdO3bIHVKpCw0NRatWrWBubg5bW1v4+/sjJiZG7rCISgWTcBGVdDhFXZOVlYUBAwZg7NixcodSKjZv3oxJkyZh5syZuHDhAtzd3eHn54e7d+/KHVqpSE1Nhbu7+0u9AVDRHT9+HOPHj8eZM2dw+PBhZGdno2vXrkhNTZU7NKKXxqejX8KLhlPUZWFhYQgODsajR4/kDuWleHp6olWrVvjmm28AALm5uXBycsKECRMwbdo0maMrXQqFAuHh4fD395c7lDKVlJQEW1tbHD9+HB06dJA7HKKXwjPhl/Ci4RRJXllZWTh//rzacJZ6enrw9fXlcJY6LG9kMx57VBkwCZdQ3nCKY8aMkTsUKsC9e/eQk5MDOzs7tfIXDWdJFVdubi6Cg4PRtm1bNG7cWO5wiF7aK5+Ep02bBoVCUegUHR2t1qash1MsbSXZR6KKaPz48fjrr7+wadMmuUMhKhU60W1lWZo8efILu8SsVauW9O/bt2/Dx8cH3t7eWL16dRlHVzqKu4+VRbVq1aCvr4/ExES18sTERNjb28sUFZVUUFAQ9uzZgxMnTmj0IU+kq175JFyWwylWFMXZx8rE0NAQLVq0QEREhPSwUm5uLiIiIhAUFCRvcFRkQghMmDAB4eHhOHbsGFxdXeUOiajUvPJJuKjyhlN0dnaWhlPMU5nOquLj4/HgwQPEx8cjJycHUVFRAIA6derAzMxM3uBKYNKkSQgICEDLli3RunVrLFmyBKmpqRgxYoTcoZWKJ0+e4Nq1a9J8bGwsoqKiYG1tjZo1a8oYWekZP348Nm7ciJ07d8Lc3Fy6n69SqWBsbCxzdEQvSVCRrFmzRgDQOlUmAQEBWvfx6NGjcodWYkuXLhU1a9YUhoaGonXr1uLMmTNyh1Rqjh49qvXnFRAQIHdopaag427NmjVyh0b00vieMBERkUx046YmERFRJcQkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTJXaiRMn0Lt3bzg6OkKhUGDHjh1yh0REJGESpkotNTUV7u7uWLZsmdyhEBFp4ChKVKl1794d3bt3lzsMIiKteCZMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDLh09FUqT158gTXrl2T5mNjYxEVFQVra2vUrFlTxsiIiACFEELIHQRRWTl27Bh8fHw0ygMCAhAWFlb+ARER5cMkTEREJBPeEyYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkk/8DWFMyQBdv7poAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, lasso_coeff=0.00064, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "non_replicate_groupers = list(set(id_vars) - set([\"data_replicate\", \"total_iterations\"]))\n",
+    "for id, mut_df_lasso in mut_dfs.groupby(non_replicate_groupers):\n",
+    "    # if not (id[0] == 4e-05 and id[2] == \"sigmoid\"):\n",
+    "    #     continue\n",
+    "    param_col_to_compare = [c for c in mut_df_lasso.columns if \"β\" in c]\n",
+    "    # fig, ax = plt.subplots(1, len(param_col_to_compare), figsize=(3 * len(param_col_to_compare), 3))\n",
+    "    title = \", \".join([f\"{k}={v}\" for k, v in zip(non_replicate_groupers, id)])\n",
+    "    print(title, flush=True)\n",
+    "    for fig_col, param_col in enumerate(param_col_to_compare):\n",
+    "        if \"+\" not in param_col:\n",
+    "            continue\n",
+    "        # pivot the table to have a column for each replicate \n",
+    "        pivoted = mut_df_lasso.pivot(index=\"mutation\", columns=\"data_replicate\", values=param_col).dropna()\n",
+    "        pivoted[\"Mutation Type\"] = [\"Stop Codon\" if \"*\" in mut else \"Nonsynonymous\" for mut in pivoted.index]\n",
+    "        # print(pivoted)\n",
+    "        r = pivoted[[\"1\", \"2\"]].corr().iloc[0, 1]\n",
+    "        r2 = round(r**2, 2)\n",
+    "        alpha=0.5 if \"+\" in param_col else 0.1\n",
+    "        # sns.scatterplot(pivoted, x=\"1\", y=\"2\", alpha=alpha, ax=ax[fig_col])\n",
+    "        prange = 2\n",
+    "        jp = sns.jointplot(\n",
+    "            pivoted, \n",
+    "            x=\"1\", \n",
+    "            y=\"2\", \n",
+    "            xlim=[-prange, prange],\n",
+    "            ylim=[-prange, prange],\n",
+    "            height=4, \n",
+    "            ratio=3,\n",
+    "            hue=\"Mutation Type\",\n",
+    "            kind=\"scatter\",\n",
+    "            alpha=0.8,\n",
+    "            s=20,\n",
+    "            edgecolor=\"black\",\n",
+    "            # density_joint=True,\n",
+    "        )\n",
+    "        # move legend outside \n",
+    "        jp.ax_joint.legend(loc='center left', bbox_to_anchor=(1, 1.35), frameon=False)\n",
+    "        title = f\"{param_col}\\npearson={r:.2f}, $R^2$={r2}\"\n",
+    "        # move title up\n",
+    "\n",
+    "        jp.figure.suptitle(title, y=1.05)\n",
+    "        plt.show()\n",
+    "        # break\n",
+    "\n",
+    "    # plt.suptitle(title)\n",
+    "    # plt.tight_layout()\n",
+    "    # break\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's plot the sparsity and replicate correlations as a function of the lasso weight"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "fixed_ref_column_shifts={\n",
+    "    \"β_Delta+-β_Omicron_BA1\" : \"shift_Delta\",\n",
+    "    \"-β_Omicron_BA1+β_Omicron_BA2\" : \"shift_Omicron_BA2\",\n",
+    "}\n",
+    "\n",
+    "# equivariant_column_shifts = {\n",
+    "    # \"β_Delta+-β_Omicron_BA1\" : \"Δ()\",\n",
+    "    # \"-β_Omicron_BA1+β_Omicron_BA2\" : \"Omicron_BA2\",\n",
+    "# }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chosen_lasso_strength = 0.00008"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array(9.97518234e-05, dtype=float64)"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_df.loc[0, \"state\"].error"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# if not os.path.exists(output_dir): os.mkdir(output_dir)\n",
+    "\n",
+    "rc_kwargs = {\n",
+    "    'legend.frameon': False,\n",
+    "    \"font.size\" : 11,\n",
+    "    \"font.weight\" : \"normal\"\n",
+    "}\n",
+    "\n",
+    "plt.rcParams.update(**rc_kwargs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "non_lasso_replicate_groupers = set(non_replicate_groupers) - set([\"lasso_coeff\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=linear, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x550 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "post_latent_fn=sigmoid, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x550 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# mut_df = mut_dfs\n",
+    "for id, mut_df in mut_dfs.groupby(list(non_lasso_replicate_groupers)):\n",
+    "\n",
+    "    title = \", \".join([f\"{k}={v}\" for k, v in zip(non_lasso_replicate_groupers, id)])\n",
+    "    print(title, flush=True)\n",
+    "    corr_sparsity_dict = defaultdict(list)\n",
+    "    for lasso_coeff, mut_df_lasso in mut_df.groupby(\"lasso_coeff\"):\n",
+    "        corr_sparsity_dict[\"scale_coeff_lasso_shift\"].append(lasso_coeff)\n",
+    "        param_col_to_compare = [c for c in mut_df_lasso.columns if \"β\" in c]\n",
+    "        for fig_col, param_col in enumerate(param_col_to_compare):\n",
+    "            if \"+\" not in param_col: continue\n",
+    "            pivoted = mut_df_lasso.pivot(index=\"mutation\", columns=\"data_replicate\", values=param_col).dropna()\n",
+    "            # print(pivoted.index.str.split())\n",
+    "            muts = pivoted.index.values\n",
+    "            pivoted = pivoted.assign(is_stop = [\"*\" in m for m in muts])\n",
+    "            # pivoted = pivoted.assign(is_stop = pivoted.index.str.contains(\"*\"))\n",
+    "\n",
+    "            r = pivoted.corr().iloc[0, 1]\n",
+    "\n",
+    "            corr_sparsity_dict[f\"replicate_corr_{param_col}\"].append(r)\n",
+    "            for replicate in [\"1\", \"2\"]:\n",
+    "\n",
+    "                corr_sparsity_dict[f\"{replicate}_stop_sparsity_{param_col}\"].append((pivoted.query(\"is_stop\")[replicate]==0).mean())\n",
+    "                corr_sparsity_dict[f\"{replicate}_nonsyn_sparsity_{param_col}\"].append((pivoted.query(\"~is_stop\")[replicate]==0).mean())\n",
+    "\n",
+    "    corr_sparsity_df = pd.DataFrame(corr_sparsity_dict)\n",
+    "    corr_df = (\n",
+    "        corr_sparsity_df[[\"scale_coeff_lasso_shift\"]+[c for c in corr_sparsity_df.columns if \"replicate_corr\" in c]]\n",
+    "        .melt(id_vars=\"scale_coeff_lasso_shift\", var_name=\"shift_params\", value_name=\"correlation\")\n",
+    "        .assign(\n",
+    "            mut_param = lambda x: x[\"shift_params\"].str.split(\"_\").str[2:].str.join(\"_\")\n",
+    "        )\n",
+    "        .drop(columns=\"shift_params\")\n",
+    "    )\n",
+    "    # corr_df\n",
+    "    sparsity_df = (\n",
+    "        corr_sparsity_df[[\"scale_coeff_lasso_shift\"]+[c for c in corr_sparsity_df.columns if \"sparsity\" in c]]\n",
+    "        .melt(id_vars=\"scale_coeff_lasso_shift\", var_name=\"shift_params\", value_name=\"sparsity\")\n",
+    "        .assign(\n",
+    "            replicate = lambda x: x[\"shift_params\"].str.split(\"_\").str[0],\n",
+    "            mut_type = lambda x: x[\"shift_params\"].str.split(\"_\").str[1],\n",
+    "            mut_param = lambda x: x[\"shift_params\"].str.split(\"_\").str[3:].str.join(\"_\")\n",
+    "        )\n",
+    "        .drop(columns=\"shift_params\")\n",
+    "    )\n",
+    "    # sparsity_df\n",
+    "    # saveas=\"shrinkage_analysis_trace_plots_beta\"\n",
+    "\n",
+    "    fig, ax = plt.subplots(2, figsize=[5, 5.5], sharex=True)\n",
+    "\n",
+    "    # replicate correlation\n",
+    "    iter_ax = ax[0]\n",
+    "    sns.lineplot(\n",
+    "        data=(\n",
+    "            corr_df\n",
+    "            .rename({\"mut_param\":\"shift params\"}, axis=1)\n",
+    "            .replace(fixed_ref_column_shifts)\n",
+    "            .assign(\n",
+    "                scale_coeff_lasso_shift = [\n",
+    "                    f\"{l:.1e}\" \n",
+    "                    for l in corr_df.scale_coeff_lasso_shift\n",
+    "                ],\n",
+    "                correlation = lambda x: x.correlation**2\n",
+    "            )\n",
+    "            .reset_index(drop=True)\n",
+    "        ),\n",
+    "        x=\"scale_coeff_lasso_shift\",\n",
+    "        y=\"correlation\",\n",
+    "        style=\"shift params\",\n",
+    "        markers=True,\n",
+    "        ax=iter_ax,\n",
+    "        linewidth=3,\n",
+    "        color=\"black\"\n",
+    "    )\n",
+    "    iter_ax.set_ylabel(\"rep1 v. rep2\\nshift $(R^2)$\")\n",
+    "    # move legend outside of plot\n",
+    "    iter_ax.legend(\n",
+    "        bbox_to_anchor = (1, 1), \n",
+    "        loc='upper left', \n",
+    "        frameon=False\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "\n",
+    "    # # plot loss\n",
+    "    # iter_ax = ax[1]\n",
+    "    # sns.lineplot(\n",
+    "    #     data = (\n",
+    "    #         cross_validation_df.query(\"condition=='total'\")\n",
+    "    #         .assign(\n",
+    "    #             # lasso_strength = [f\"{l:.1e}\" for l in sparsity_df.scale_coeff_lasso_shift]\n",
+    "    #             # lasso_strength = lambda x: f\"{x.scale_coeff_lasso_shift:.1e}\"\n",
+    "    #             lasso_strength = lambda x: x['scale_coeff_lasso_shift'].apply(lambda y: f'{y:.1e}')\n",
+    "    #         )\n",
+    "    #     ),\n",
+    "    #     x=\"lasso_strength\",\n",
+    "    #     y=\"loss\",\n",
+    "    #     ax=iter_ax,\n",
+    "    #     hue=\"split\",\n",
+    "    #     style=\"dataset_name\",\n",
+    "    #     palette={\"training\":\"slategrey\", \"validation\":\"#2CA02C\"},\n",
+    "    #     markers=True,\n",
+    "    #     linewidth=3\n",
+    "    # )\n",
+    "    # # move legend outside of plot\n",
+    "    # iter_ax.legend(\n",
+    "    #     bbox_to_anchor = (1, 1), \n",
+    "    #     loc='upper left', \n",
+    "    #     frameon=False\n",
+    "    # )\n",
+    "\n",
+    "\n",
+    "    # plot sparsity\n",
+    "    iter_ax = ax[1]\n",
+    "    sns.lineplot(\n",
+    "        data=(\n",
+    "            sparsity_df\n",
+    "            # .rename({\"dataset_name\":\"replicate\"}, axis=1)\n",
+    "            .rename({\"mut_param\":\"shift params\", \"mut_type\":\"mutation type\"}, axis=1)\n",
+    "            # .replace({\"Data-0\":\"rep-1\", \"Data-1\":\"rep-2\"})\n",
+    "            .replace({\"nonsyn\":\"nonsynonymous\", \"stop\":\"stop\"})\n",
+    "            .replace(fixed_ref_column_shifts)\n",
+    "            .assign(\n",
+    "                scale_coeff_lasso_shift = [f\"{l:.1e}\" for l in sparsity_df.scale_coeff_lasso_shift],\n",
+    "                sparsity_percent = lambda x: x.sparsity * 100,\n",
+    "            )\n",
+    "        ),\n",
+    "        x=\"scale_coeff_lasso_shift\",\n",
+    "        y=\"sparsity_percent\",\n",
+    "        hue=\"mutation type\",\n",
+    "        style=\"replicate\",\n",
+    "        palette={\"nonsynonymous\":\"grey\", \"stop\":\"#E377C2\"},\n",
+    "        markers=True,\n",
+    "        legend=True,\n",
+    "        ax=iter_ax,\n",
+    "        linewidth=3\n",
+    "    )\n",
+    "    # move legend outside of plot\n",
+    "    iter_ax.legend(\n",
+    "        bbox_to_anchor = (1, 1), \n",
+    "        loc='upper left', \n",
+    "        frameon=False\n",
+    "    )\n",
+    "    # rotate x labels\n",
+    "    iter_ax.set_xticklabels(\n",
+    "        iter_ax.get_xticklabels(), \n",
+    "        rotation=90, \n",
+    "        ha='center'\n",
+    "    )\n",
+    "    iter_ax.set_ylabel(\"sparsity\\n$(\\%\\Delta=0)$\")\n",
+    "    iter_ax.set_xlabel(f\"lasso regularization strength ($\\lambda$)\")\n",
+    "\n",
+    "    for axes in ax:\n",
+    "        axes.axvline(\n",
+    "            f\"{chosen_lasso_strength:.1e}\", \n",
+    "            color=\"grey\",\n",
+    "            linewidth=10,\n",
+    "            alpha=0.35\n",
+    "        )\n",
+    "\n",
+    "    sns.despine(fig)\n",
+    "    plt.tight_layout()\n",
+    "    # plt.tight_layout()\n",
+    "    # fig.savefig(f\"{output_dir}/{saveas}.pdf\",bbox_inches='tight')\n",
+    "    # fig.savefig(f\"{output_dir}/{saveas}.png\",bbox_inches='tight')\n",
+    "    # plt.show()\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, let's plot the shift results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>site</th>\n",
+       "      <th>Delta</th>\n",
+       "      <th>Omicron_BA1</th>\n",
+       "      <th>Omicron_BA2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>M</td>\n",
+       "      <td>M</td>\n",
+       "      <td>M</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>V</td>\n",
+       "      <td>V</td>\n",
+       "      <td>V</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>L</td>\n",
+       "      <td>L</td>\n",
+       "      <td>L</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1234</th>\n",
+       "      <td>1248</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1235</th>\n",
+       "      <td>1249</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1236</th>\n",
+       "      <td>1250</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1237</th>\n",
+       "      <td>1251</td>\n",
+       "      <td>G</td>\n",
+       "      <td>G</td>\n",
+       "      <td>G</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1238</th>\n",
+       "      <td>1252</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1239 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      site Delta Omicron_BA1 Omicron_BA2\n",
+       "0        1     M           M           M\n",
+       "1        2     F           F           F\n",
+       "2        3     V           V           V\n",
+       "3        4     F           F           F\n",
+       "4        5     L           L           L\n",
+       "...    ...   ...         ...         ...\n",
+       "1234  1248     C           C           C\n",
+       "1235  1249     S           S           S\n",
+       "1236  1250     C           C           C\n",
+       "1237  1251     G           G           G\n",
+       "1238  1252     S           S           S\n",
+       "\n",
+       "[1239 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "rep_1_site_map = results_df.query(\"data_replicate == '1'\").iloc[0].data.site_map.copy()\n",
+    "rep_1_site_map.index.name=\"site\"\n",
+    "rep_1_site_map.reset_index(inplace=True)\n",
+    "rep_1_site_map\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>site</th>\n",
+       "      <th>Delta</th>\n",
+       "      <th>Omicron_BA1</th>\n",
+       "      <th>Omicron_BA2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>M</td>\n",
+       "      <td>M</td>\n",
+       "      <td>M</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>V</td>\n",
+       "      <td>V</td>\n",
+       "      <td>V</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>L</td>\n",
+       "      <td>L</td>\n",
+       "      <td>L</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1234</th>\n",
+       "      <td>1248</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1235</th>\n",
+       "      <td>1249</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1236</th>\n",
+       "      <td>1250</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1237</th>\n",
+       "      <td>1251</td>\n",
+       "      <td>G</td>\n",
+       "      <td>G</td>\n",
+       "      <td>G</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1238</th>\n",
+       "      <td>1252</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1239 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      site Delta Omicron_BA1 Omicron_BA2\n",
+       "0        1     M           M           M\n",
+       "1        2     F           F           F\n",
+       "2        3     V           V           V\n",
+       "3        4     F           F           F\n",
+       "4        5     L           L           L\n",
+       "...    ...   ...         ...         ...\n",
+       "1234  1248     C           C           C\n",
+       "1235  1249     S           S           S\n",
+       "1236  1250     C           C           C\n",
+       "1237  1251     G           G           G\n",
+       "1238  1252     S           S           S\n",
+       "\n",
+       "[1239 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "rep_2_site_map = results_df.query(\"data_replicate == '2'\").iloc[0].data.site_map.copy()\n",
+    "rep_2_site_map.index.name=\"site\"\n",
+    "rep_2_site_map.reset_index(inplace=True)\n",
+    "rep_2_site_map"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{422, 898}"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unshared_sites = set(rep_1_site_map[\"site\"]).symmetric_difference(set(rep_2_site_map[\"site\"]))\n",
+    "shared_sites = set(rep_1_site_map[\"site\"]).union(set(rep_2_site_map[\"site\"]))\n",
+    "unshared_sites"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Delta</th>\n",
+       "      <th>Omicron_BA1</th>\n",
+       "      <th>Omicron_BA2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>M</td>\n",
+       "      <td>M</td>\n",
+       "      <td>M</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>V</td>\n",
+       "      <td>V</td>\n",
+       "      <td>V</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "      <td>F</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>L</td>\n",
+       "      <td>L</td>\n",
+       "      <td>L</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1248</th>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1249</th>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1250</th>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1251</th>\n",
+       "      <td>G</td>\n",
+       "      <td>G</td>\n",
+       "      <td>G</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1252</th>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1238 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Delta Omicron_BA1 Omicron_BA2\n",
+       "1        M           M           M\n",
+       "2        F           F           F\n",
+       "3        V           V           V\n",
+       "4        F           F           F\n",
+       "5        L           L           L\n",
+       "...    ...         ...         ...\n",
+       "1248     C           C           C\n",
+       "1249     S           S           S\n",
+       "1250     C           C           C\n",
+       "1251     G           G           G\n",
+       "1252     S           S           S\n",
+       "\n",
+       "[1238 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "site_map = pd.concat([rep_1_site_map, rep_2_site_map], axis=0).drop_duplicates().set_index(\"site\", verify_integrity=True).sort_index()\n",
+    "site_map.index.name=None\n",
+    "site_map.drop(unshared_sites, inplace=True)\n",
+    "site_map"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "9983"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rep_1_mutations = results_df.query(\"data_replicate == '1'\").iloc[0].data.mutations\n",
+    "rep_2_mutations = results_df.query(\"data_replicate == '2'\").iloc[0].data.mutations\n",
+    "shared_mutations = set(rep_1_mutations).intersection(set(rep_2_mutations))\n",
+    "len(shared_mutations)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>wts</th>\n",
+       "      <th>sites</th>\n",
+       "      <th>muts</th>\n",
+       "      <th>avg_shift_Delta</th>\n",
+       "      <th>avg_shift_Omicron_BA2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>27</td>\n",
+       "      <td>D</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.090629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>27</td>\n",
+       "      <td>E</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.005235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>27</td>\n",
+       "      <td>G</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>27</td>\n",
+       "      <td>L</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>27</td>\n",
+       "      <td>P</td>\n",
+       "      <td>0.135872</td>\n",
+       "      <td>-0.396683</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6740</th>\n",
+       "      <td>Y</td>\n",
+       "      <td>1209</td>\n",
+       "      <td>N</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6741</th>\n",
+       "      <td>Y</td>\n",
+       "      <td>1215</td>\n",
+       "      <td>*</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6742</th>\n",
+       "      <td>Y</td>\n",
+       "      <td>1215</td>\n",
+       "      <td>C</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6743</th>\n",
+       "      <td>Y</td>\n",
+       "      <td>1215</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0.037667</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6744</th>\n",
+       "      <td>Y</td>\n",
+       "      <td>1215</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0.415916</td>\n",
+       "      <td>0.167404</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>6745 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     wts  sites muts  avg_shift_Delta  avg_shift_Omicron_BA2\n",
+       "0      A     27    D         0.000000               0.090629\n",
+       "1      A     27    E         0.000000               0.005235\n",
+       "2      A     27    G         0.000000               0.000000\n",
+       "3      A     27    L         0.000000               0.000000\n",
+       "4      A     27    P         0.135872              -0.396683\n",
+       "...   ..    ...  ...              ...                    ...\n",
+       "6740   Y   1209    N         0.000000               0.000000\n",
+       "6741   Y   1215    *         0.000000               0.000000\n",
+       "6742   Y   1215    C         0.000000               0.000000\n",
+       "6743   Y   1215    F         0.037667               0.000000\n",
+       "6744   Y   1215    H         0.415916               0.167404\n",
+       "\n",
+       "[6745 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "mut_df_replicates = (\n",
+    "    mut_dfs\n",
+    "    .query(\"lasso_coeff == 4e-05 and mutation in @shared_mutations\")\n",
+    "    .drop(columns=[c for c in mut_dfs.columns if c not in [\"wts\", \"sites\", \"muts\"] and \"+\" not in c])\n",
+    "    .rename(\n",
+    "        columns={\n",
+    "            \"β_Delta+-β_Omicron_BA1\" : \"avg_shift_Delta\",\n",
+    "            \"-β_Omicron_BA1+β_Omicron_BA2\" : \"avg_shift_Omicron_BA2\",\n",
+    "        }\n",
+    "    )\n",
+    "    .groupby([\"wts\", \"sites\", \"muts\"])\n",
+    "    .mean()\n",
+    "    .reset_index()\n",
+    ")\n",
+    "mut_df_replicates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "     wts  sites muts  avg_shift_Delta  avg_shift_BA2          sense\n",
+      "0      A     27    D         0.000000       0.090629  nonsynonymous\n",
+      "1      A     27    E         0.000000       0.005235  nonsynonymous\n",
+      "2      A     27    G         0.000000       0.000000  nonsynonymous\n",
+      "3      A     27    L         0.000000       0.000000  nonsynonymous\n",
+      "4      A     27    P         0.135872      -0.396683  nonsynonymous\n",
+      "...   ..    ...  ...              ...            ...            ...\n",
+      "6740   Y   1209    N         0.000000       0.000000  nonsynonymous\n",
+      "6741   Y   1215    *         0.000000       0.000000           stop\n",
+      "6742   Y   1215    C         0.000000       0.000000  nonsynonymous\n",
+      "6743   Y   1215    F         0.037667       0.000000  nonsynonymous\n",
+      "6744   Y   1215    H         0.415916       0.167404  nonsynonymous\n",
+      "\n",
+      "[6745 rows x 6 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# some renaming and wrangling\n",
+    "mut_df_replicates[\"sense\"] = [\"stop\" if mut == \"*\" else \"nonsynonymous\" for mut in mut_df_replicates.muts]\n",
+    "rename_omicron = {\n",
+    "    c:\"_\".join(c.split(\"_\")[:2]+[c.split(\"_\")[3]])\n",
+    "    for c in mut_df_replicates.columns if \"Omicron\" in c\n",
+    "}\n",
+    "mut_df_replicates.rename(rename_omicron, axis=1, inplace=True)\n",
+    "print(mut_df_replicates)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x900 with 15 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "site_map = site_map.reset_index().rename(\n",
+    "    {\"index\":\"sites\", \"Omicron_BA2\": \"BA2\", \"Omicron_BA1\":\"BA1\"}, axis=1\n",
+    ").set_index(\"sites\")\n",
+    "\n",
+    "saveas = \"shift_by_site_heatmap_zoom\"\n",
+    "\n",
+    "site_ranges = {\n",
+    "    \"zoom1\" : [137, 142],\n",
+    "    \"zoom2\" : [416, 421],\n",
+    "    \"zoom3\" : [568, 573],\n",
+    "    \"zoom4\" : [843, 856],\n",
+    "    \"zoom5\" : [1019, 1029]\n",
+    "}\n",
+    "\n",
+    "# heatmap ax width ratios\n",
+    "width_ratios = [(end-start) for key, (start, end) in site_ranges.items()]\n",
+    "\n",
+    "# make the first one a little bigger for the color bar\n",
+    "width_ratios[0] += width_ratios[0] * 0.5\n",
+    "\n",
+    "\n",
+    "# Plot domain architecture in primary sequence\n",
+    "# based on structure papers (Gobeil et al., 2022, Molecular Cell)\n",
+    "# (Duan et al., 2020, Frotiers in Immunology)\n",
+    "domain_dict = {\n",
+    "    'NTD' : [13, 293],\n",
+    "    'RBD' : [330, 528],\n",
+    "    'SD1' : [528, 590],\n",
+    "    'SD2' : [590, 685],\n",
+    "    'FP' : [815, 834],\n",
+    "    'HR1' : [907, 985],\n",
+    "    'CH' : [985, 1035],\n",
+    "    'CD' : [1075, 1162],\n",
+    "    'HR2' : [1162, 1211],\n",
+    "    'TM' : [1211, 1234],\n",
+    "}\n",
+    "\n",
+    "sort_order = [\n",
+    "    \"R\",\"K\",\"H\",\"D\",\"E\",\"Q\",\"N\",\"S\",\n",
+    "    \"T\",\"Y\",\"W\",\"F\",\"A\",\"I\",\"L\",\"M\",\n",
+    "    \"V\",\"G\",\"P\",\"C\",\"-\",\"*\",\n",
+    "]\n",
+    "\n",
+    "fig = plt.figure( figsize=[6.4, 9])\n",
+    "axs = fig.subplot_mosaic(\n",
+    "    [\n",
+    "        [\"Annotation\"]*5,\n",
+    "        [\"Delta\"]*5,\n",
+    "        [f\"{k}_Delta\" for k in list(site_ranges.keys())],\n",
+    "        [f\"{k}_Delta\" for k in list(site_ranges.keys())],\n",
+    "        [\".\"]*5,\n",
+    "        [\"BA2\"]*5,\n",
+    "        [f\"{k}_BA2\" for k in list(site_ranges.keys())],\n",
+    "        [f\"{k}_BA2\" for k in list(site_ranges.keys())]\n",
+    "    ],\n",
+    "    \n",
+    "    height_ratios=[\n",
+    "        1.5, \n",
+    "        2, \n",
+    "        2, \n",
+    "        2,\n",
+    "        0.3,\n",
+    "        2,\n",
+    "        2, \n",
+    "        2\n",
+    "    ],\n",
+    "    empty_sentinel=\".\",\n",
+    "    # set the width ratios between the columns\n",
+    "    width_ratios=width_ratios,\n",
+    "    gridspec_kw={\n",
+    "        \"wspace\": 0.20,\n",
+    "        \"hspace\": 0.4,\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "# derived from\n",
+    "# https://matplotlib.org/stable/gallery/subplots_axes_and_figures/axes_zoom_effect.html\n",
+    "def connect_bbox(bbox1, bbox2,\n",
+    "                 loc1a, loc2a, loc1b, loc2b,\n",
+    "                 prop_lines, prop_patches=None):\n",
+    "    if prop_patches is None:\n",
+    "        prop_patches = {\n",
+    "            **prop_lines,\n",
+    "            \"alpha\": prop_lines.get(\"alpha\", 1) * 0.2,\n",
+    "            \"clip_on\": False,\n",
+    "        }\n",
+    "\n",
+    "    c1 = BboxConnector(\n",
+    "        bbox1, bbox2, loc1=loc1a, loc2=loc2a, clip_on=False, **prop_lines)\n",
+    "    c2 = BboxConnector(\n",
+    "        bbox1, bbox2, loc1=loc1b, loc2=loc2b, clip_on=False, **prop_lines)\n",
+    "\n",
+    "    bbox_patch1 = BboxPatch(bbox1, **prop_patches)\n",
+    "    bbox_patch2 = BboxPatch(bbox2, **prop_patches)\n",
+    "\n",
+    "    p = BboxConnectorPatch(bbox1, bbox2,\n",
+    "                           loc1a=loc1a, loc2a=loc2a, loc1b=loc1b, loc2b=loc2b,\n",
+    "                           clip_on=False,\n",
+    "                           **prop_patches)\n",
+    "\n",
+    "    return c1, c2, bbox_patch1, bbox_patch2, p\n",
+    "\n",
+    "def zoom_effect03(ax1, ax2, xmin, xmax, **kwargs):\n",
+    "\n",
+    "    mybbox1 = ax1.bbox\n",
+    "    \n",
+    "    bbox = Bbox.from_extents(xmin, 0, xmax, 1)\n",
+    "    mybbox2 = TransformedBbox(bbox, ax2.get_xaxis_transform())\n",
+    "\n",
+    "    prop_patches = {**kwargs, \"ec\": \"none\", \"alpha\": 0.2}\n",
+    "\n",
+    "    c1, c2, bbox_patch1, bbox_patch2, p = connect_bbox(\n",
+    "        mybbox1, mybbox2,\n",
+    "        loc1a=2, loc2a=3, loc1b=1, loc2b=4,\n",
+    "        prop_lines=kwargs, prop_patches=prop_patches)\n",
+    "\n",
+    "    ax2.add_patch(c1)\n",
+    "    ax2.add_patch(c2)\n",
+    "    ax2.add_patch(p)\n",
+    "\n",
+    "    return c1, c2, bbox_patch1, bbox_patch2, p\n",
+    "\n",
+    "#############\n",
+    "# sitewise\n",
+    "#############\n",
+    "\n",
+    "\n",
+    "pal = sns.color_palette('colorblind')\n",
+    "cs = ['darkviolet', 'orange']\n",
+    "cs = {\n",
+    "    'BA2' : 'darkviolet', \n",
+    "    'Delta' : 'orange'\n",
+    "}\n",
+    "\n",
+    "# Plot per-site metric\n",
+    "metric_prefix = 'max_abs_shift_'\n",
+    "for (i, homolog) in enumerate(['BA2', 'Delta']):\n",
+    "\n",
+    "    sns.scatterplot(\n",
+    "        x='sites', \n",
+    "        y=f'avg_shift_{homolog}',\n",
+    "        data=mut_df_replicates, \n",
+    "        s=15,\n",
+    "        alpha=0.7,\n",
+    "        edgecolor=\"grey\",\n",
+    "        linewidth=0.05,\n",
+    "        ax=axs[homolog], \n",
+    "        color=cs[homolog],\n",
+    "        label=\"\"\n",
+    "    )\n",
+    "    \n",
+    "    nis = site_map.query(f\"{homolog} != BA1\")\n",
+    "    sns.scatterplot(\n",
+    "        x='sites', \n",
+    "        y=np.repeat(2.9, len(nis)),\n",
+    "        data=nis, \n",
+    "        s=30,\n",
+    "        ax=axs[homolog],\n",
+    "        marker='v',\n",
+    "        facecolor=cs[homolog], \n",
+    "        edgecolor=\"k\"\n",
+    "    )\n",
+    "\n",
+    "    axs[homolog].grid()\n",
+    "    axs[homolog].set(\n",
+    "        xlim=[-10,1260],\n",
+    "        ylim=[-2, 3],\n",
+    "        yticks=[-2, -1, 0, 1, 2],\n",
+    "    )\n",
+    "    sns.despine(ax=axs[homolog])\n",
+    "    \n",
+    "    axs[homolog].tick_params(\n",
+    "        axis='x', \n",
+    "        bottom=False,\n",
+    "        labelbottom=False,\n",
+    "        labeltop=True if homolog == \"Delta\" else False,\n",
+    "        top=True if homolog == \"Delta\" else False,\n",
+    "        size=9\n",
+    "    )\n",
+    "    axs[homolog].set_xlabel(None)\n",
+    "    axs[homolog].set_ylabel('shift ($\\Delta_{d,m}$)', size=10)\n",
+    "\n",
+    "\n",
+    "axs[\"BA2\"]._shared_axes['x'].join(axs[\"BA2\"], axs[\"Delta\"])\n",
+    "\n",
+    "plot_rectangles = True\n",
+    "for zoom, site_range in site_ranges.items():\n",
+    "    if not plot_rectangles:\n",
+    "        continue\n",
+    "    (site_i, site_j) = site_range\n",
+    "    for (i, homolog) in enumerate(['BA2', 'Delta']):\n",
+    "        rect = patches.Rectangle(\n",
+    "            (site_i-5, -2), site_j-site_i+11, 4,\n",
+    "            edgecolor='none', facecolor='0.75', zorder=0\n",
+    "        )\n",
+    "        axs[homolog].add_patch(rect)\n",
+    "        \n",
+    "        \n",
+    "#############\n",
+    "# Annotation\n",
+    "#############\n",
+    "\n",
+    "for (domain, (start, end)) in domain_dict.items():\n",
+    "    rectangle = patches.Rectangle((start, 1), end-start, 2, edgecolor='0.25', facecolor='white')\n",
+    "    axs[\"Annotation\"].add_patch(rectangle)\n",
+    "    rx, ry = rectangle.get_xy()\n",
+    "    cx = rx + rectangle.get_width()/2.0\n",
+    "    cy = ry - 0.05 + rectangle.get_height()/2.0\n",
+    "    if domain in ['FP', 'TM']:\n",
+    "        cy += 2\n",
+    "    axs[\"Annotation\"].annotate(\n",
+    "        domain, (cx, cy), color='black', ha='center', va='center',\n",
+    "        fontsize=7\n",
+    "    )\n",
+    "\n",
+    "axs[\"Annotation\"].set(ylim=[-0.5,4], yticks=[])\n",
+    "sns.despine(left=True, bottom=True, ax=axs[\"Annotation\"])\n",
+    "\n",
+    "axs[\"Annotation\"].sharex(axs[\"BA2\"])\n",
+    "axs[\"Annotation\"].axhline(2, c='0.25', zorder=0)\n",
+    "axs[\"Annotation\"].xaxis.set_tick_params(which='both', bottom=False, labelbottom=False, labeltop=False)\n",
+    "\n",
+    "#############\n",
+    "# Heatmap\n",
+    "#############\n",
+    "\n",
+    "for (i, homolog) in enumerate(['Delta', 'BA2']):\n",
+    "    \n",
+    "    df_shifts_wide = mut_df_replicates.pivot(\n",
+    "        index='muts', \n",
+    "        columns='sites', \n",
+    "        values=f'avg_shift_{homolog}'\n",
+    "    ).loc[sort_order, :]\n",
+    "\n",
+    "    for zoom, (start, end) in site_ranges.items():\n",
+    "        \n",
+    "        iter_ax = axs[f\"{zoom}_{homolog}\"]\n",
+    "        iter_ax.set_facecolor(\"lightgrey\")\n",
+    "        # print(df_shifts_wide.columns)\n",
+    "        # print(start, end)\n",
+    "        # print(list(range(start, end+1)))\n",
+    "        # print(list([1,2,3]))\n",
+    "        # print(range(5))\n",
+    "        # print(range(start, end))\n",
+    "        sites = [s for s in list(range(start, end+1)) if s in df_shifts_wide.columns]\n",
+    "        \n",
+    "        sns.heatmap(\n",
+    "            df_shifts_wide.loc[:, sites], \n",
+    "            cbar=True if zoom == \"zoom1\" else False,\n",
+    "            cbar_kws={\n",
+    "                \"shrink\": 0.5, \n",
+    "                \"location\":'left',\n",
+    "                'anchor': (-1.5, 0.5),\n",
+    "                'label' : None\n",
+    "            },\n",
+    "            ax = iter_ax,\n",
+    "            linewidth=.5, \n",
+    "            linecolor=\"darkgrey\",\n",
+    "            center=0,\n",
+    "            cmap='RdBu',\n",
+    "            vmin=-2.0,\n",
+    "            vmax=2.0,\n",
+    "            xticklabels=False,\n",
+    "            yticklabels=False,\n",
+    "        )\n",
+    "\n",
+    "        for i, site in enumerate(sites):\n",
+    "            for j, mut in enumerate(sort_order):\n",
+    "                \n",
+    "                is_ref_wt = True if mut == site_map.loc[site,\"BA1\"] else False\n",
+    "                if is_ref_wt:\n",
+    "                    iter_ax.scatter(\n",
+    "                        [i+0.5], \n",
+    "                        [j+0.5], \n",
+    "                        marker=\"x\", \n",
+    "                        s=8, \n",
+    "                        c=\"black\"\n",
+    "                    )\n",
+    "                is_nis = (\n",
+    "                    True \n",
+    "                    if mut ==  site_map.loc[site,homolog] and\n",
+    "                    mut !=  site_map.loc[site,\"BA1\"]\n",
+    "                    else False\n",
+    "                )\n",
+    "                \n",
+    "                if is_nis:\n",
+    "                    iter_ax.scatter(\n",
+    "                        [i+0.5], \n",
+    "                        [j+0.5], \n",
+    "                        marker=\"o\", \n",
+    "                        s=12, \n",
+    "                        facecolors=cs[homolog],\n",
+    "                        edgecolors=\"black\"\n",
+    "                    )\n",
+    "\n",
+    "        if zoom != \"zoom1\":\n",
+    "            axs[f\"{zoom}_{homolog}\"].tick_params(axis='y', left=False, labelleft=False)\n",
+    "            sns.despine(left=True, bottom=True, ax=axs[f\"{zoom}_{homolog}\"])  \n",
+    "        else:\n",
+    "            axs[f\"{zoom}_{homolog}\"].set_yticks(\n",
+    "                [s+0.5 for s in range(len(sort_order))],\n",
+    "                labels=sort_order, \n",
+    "                va=\"center\",\n",
+    "                size=6\n",
+    "            )\n",
+    "            \n",
+    "        axs[f\"{zoom}_{homolog}\"].set_ylabel(None)\n",
+    "            \n",
+    "        if homolog != \"Delta\":\n",
+    "            axs[f\"{zoom}_{homolog}\"].sharex(axs[f\"{zoom}_Delta\"])\n",
+    "        axs[f\"{zoom}_{homolog}\"].set_xticks(\n",
+    "            [s+0.5 for s in range(len(sites))],\n",
+    "             labels=sites, \n",
+    "             ha=\"center\",\n",
+    "            rotation=90,\n",
+    "            size=7\n",
+    "        )\n",
+    "        axs[f\"{zoom}_{homolog}\"].set_xlabel(None)\n",
+    "\n",
+    "for zoom, (start, end) in site_ranges.items():\n",
+    "    for homolog in ['Delta', 'BA2']:\n",
+    "        zoom_effect03(axs[f\"{zoom}_{homolog}\"], axs[homolog], start, end, alpha= 0.2)\n",
+    "\n",
+    "fig.text(\n",
+    "    0.5, 0.05, 'sites',\n",
+    "    ha='center'\n",
+    ")\n",
+    "\n",
+    "axs[\"Delta\"].text(\n",
+    "    -0.1, 1.25, \n",
+    "    f\"A\", \n",
+    "    ha=\"right\", va=\"center\", \n",
+    "    size=15,\n",
+    "    weight=\"bold\",\n",
+    "    transform=axs[\"Delta\"].transAxes\n",
+    ")\n",
+    "axs[\"Delta\"].text(\n",
+    "    0.035, 1.15, \n",
+    "    f\"Delta\", \n",
+    "    ha=\"left\", va=\"center\", \n",
+    "    size=12,\n",
+    "    transform=axs[\"Delta\"].transAxes\n",
+    ")\n",
+    "\n",
+    "axs[\"BA2\"].text(\n",
+    "    -0.1, 1.25, \n",
+    "    f\"B\", \n",
+    "    ha=\"right\", va=\"center\", \n",
+    "    size=15,\n",
+    "    weight=\"bold\",\n",
+    "    transform=axs[\"BA2\"].transAxes\n",
+    ")\n",
+    "axs[\"BA2\"].text(\n",
+    "    0.035, 1.15, \n",
+    "    f\"BA.2\", \n",
+    "    ha=\"left\", va=\"center\", \n",
+    "    size=12,\n",
+    "    transform=axs[\"BA2\"].transAxes\n",
+    ")\n",
+    "\n",
+    "# fig.savefig(f\"{output_dir}/{saveas}.pdf\",bbox_inches='tight')\n",
+    "# fig.savefig(f\"{output_dir}/{saveas}.png\",bbox_inches='tight')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "multidms-dev",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/params.json b/notebooks/experiments/generalized_lasso_sigmoid_models/params.json
new file mode 100644
index 0000000..9d4afbe
--- /dev/null
+++ b/notebooks/experiments/generalized_lasso_sigmoid_models/params.json
@@ -0,0 +1,9 @@
+{
+  "warmup_iterations" : [0],
+  "max_total_iterations" : [100000],
+  "data_replicate": [1,2],
+  "post_latent_fn": ["sigmoid"],
+  "smooth_obj_fn" : ["sum_penalty"],
+  "l2reg_beta" : [1e-3],
+  "lasso_coeff" : [0.0]
+}
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh b/notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh
new file mode 100644
index 0000000..8ad8e66
--- /dev/null
+++ b/notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh
@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+
+/usr/bin/time python nb_papermill.py \
+    --nb fit_generalized_lasso.ipynb \
+    --params params.json \
+    --output test_run_results
diff --git a/notebooks/param_transform_ref_equivariance_prototype.ipynb b/notebooks/param_transform_ref_equivariance_prototype.ipynb
index 7ed59ae..211d5a2 100644
--- a/notebooks/param_transform_ref_equivariance_prototype.ipynb
+++ b/notebooks/param_transform_ref_equivariance_prototype.ipynb
@@ -408,9 +408,21 @@
    "execution_count": 5,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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",
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89913WeaCIYQQQgghhBCizmJ+8fva+/fv4ePjgzNnzqB27dpCh0MIIYQQQgghOZbFTuAeHx8PABonWpTJZJDJZKrnjDGkp6cjT548ahM7EkKIPii/EELMhfILIcQcLPIXP6VSiVatWiEuLg7//PMP73JTpkzB1KlT1drj4+Ph6upqzhAJAQBsvBDH2d69unu2xkGy+vPPPzFy5EikpaUZvA3KL4QQLgsWLMC4ceOQmppq8DYov5DcbvvlT5ztHat4ZHMkxjH1ccydOxeTJ082+FY3i7nH70uDBg3CnTt3sHXrVo3LhYWFIT4+XvV49eoV77KhoaEQiUQQiUSQSqUICgrCL7/8goyMDFOHn6vExsaiW7ducHV1hbu7O/r06YOkpCSd1mWMoWnTphCJRNi7d2+W106ePInq1avDxcUFvr6+GDt2LP2tiM769++PFi1aGLUNyi/CMyS/vH37Fj169ICvry+cnJzwzTffYNeuXVmWefToEVq3bo08efLA1dUVNWvWxKlTp8x5KMSK/Pjjj2jSpIlR26D8Ijxz5ZdWrVohICAA9vb28PPzQ48ePfDmzRtzHgqxIkOHDkXDhg0NXt/iOn6DBw/GwYMHcerUKRQoUEDjsnZ2dnB1dc3y0KRJkyaIjo7G48ePMWrUKEyZMgVz5swxZfhZpKenm23b+mCMme0fiG7duuHu3bs4fvw4Dh48iLNnz6J///46rTt//nzOIS03b95Es2bN0KRJE9y4cQPbtm3D/v37MW7cOFOHT6zI3r17VZ85Gxsb7Ny506jtUX7RTU7LLz179sTDhw+xf/9+3L59G99//z06duyIGzduqJZp0aIFMjIy8Pfff+P69esoV64cWrRogbdv35rlOIjl27Nnj6oUva2tLfbs2WPU9ii/6MYS80u9evWwfft2PHz4ELt27UJkZCTat29vlmMglo8xht27d6ve51KpFPv27TNqgxZBqVSyQYMGsXz58rFHjx4ZtI34+HgGgMXHx6u9FhISwlq3bp2lrVGjRqxq1aqMMcbS0tLYqFGjWL58+ZijoyOrXLkyO3XqlGrZDx8+sM6dO7N8+fIxBwcHVrp0abZ58+Ys26tTpw4bNGgQGzZsGPPy8mJ169ZlSqWSTZ48mfn7+zOpVMr8/PzYkCFDVOvExsayHj16MHd3d+bg4MCaNGmS5fjDw8OZm5sbO3r0KCtevDhzcnJijRs3Zm/evOE9D6dOnWIA2OHDh9k333zDbG1tsxyLqdy7d48BYFevXlW1HTlyhIlEIhYVFaVx3Rs3brD8+fOz6OhoBoDt2bNH9VpYWBirVKlSluX379/P7O3tWUJCgkmPwVgbzn/ifJh6m4SfTCZjAwcOZADYwIEDzbYfyi+Zcnp+cXJyYuvXr8/S5unpyVauXMkYY+z9+/cMADt79qzq9YSEBAaAHT9+3MRHYZydl2N5H7mNUOciLS2N9e3blwHI8tkyNcovmSw9v3DZt28fE4lELD093fjADbTtUizngwgrNTWVhYaGMgBs5MiRJtmmxfziN2jQIGzcuBGbN2+Gi4sL3r59i7dv3xo1hl4bBwcH1VWtwYMH4+LFi9i6dStu3bqFDh06oEmTJnj8+DEAIC0tDRUrVsShQ4dw584d9O/fHz169MCVK1eybHPdunWQSqU4f/48li1bhl27dmHevHlYvnw5Hj9+jL1796JMmTKq5UNDQ3Ht2jXs378fFy9eBGMMzZo1yzLJZUpKCubOnYsNGzbg7NmzePnyJUaPHq31+MaNG4dZs2bh/v37KFu2LOcypUqVgrOzM++jadOmvNu/ePEi3N3dUalSJVVbw4YNIRaLcfnyZd71UlJS0LVrVyxZsgS+vr5qr8tkMtjb22dpc3BwQFpaGq5fv67tsEkuEh0djXr16mHZsmUQiUTInz8/WA65rZnyizD5pXr16ti2bRtiY2OhVCqxdetWpKWloW7dugAALy8vFCtWDOvXr0dycjIyMjKwfPly+Pj4oGLFilqPm+QeUVFRqFOnDlatWgWRSIR8+fJRfqH8ojG/fC02NhabNm1C9erVYWtrq/W4Se7x6tUr1KpVC2vXroVYLIafn59pNmyS7mM2AMD5CA8P13kbul4xUyqV7Pjx48zOzo6NHj2avXjxgkkkErWrPA0aNGBhYWG8+2vevDkbNWqU6nmdOnVYhQoVsizz+++/s6JFi3Je6Xn06BEDwM6fP69q+/DhA3NwcGDbt29njGVeMQPAnjx5olpmyZIlLG/evLxxfb5itnfvXt5lPnv+/Dl7/Pgx7+P169e8606fPp0VLVpUrd3b25v9+eefvOv179+f9enTR/UcX/3i99dffzGxWMw2b97MMjIy2OvXr1mtWrUYALWrlEKjX/yEc/78eebn58cAMDc3N3bo0CGz7o/yS6acnl8+ffrEvvvuOwaA2djYMFdXV/bXX39lWebVq1esYsWKTCQSMYlEwvz8/Ni///6r9XiyG/3i95/sPhdnz55lefPmZQCYh4cHO3r0qFn28xnll0zWkF8YY2zMmDHM0dGRAWBVq1ZlHz580Ho85kS/+OUsp06dYt7e3gwA8/LyMuloE4uZzoFlw1W0gwcPwtnZGXK5HEqlEl27dsWUKVNw+vRpKBQKFC1aNMvyMpkMXl5eAACFQoEZM2Zg+/btiIqKQnp6OmQyGRwdHbOs8/UV4w4dOmD+/PkoXLgwmjRpgmbNmqFly5awsbHB/fv3YWNjgypVqqiW/3w1+v79+6o2R0dHFClSRPXcz88PMTExWo/3yytZfAoWLKh1GVPav38//v777yzj4b/23XffYc6cORg4cCB69OgBOzs7TJw4EefOnYNYbDE/YhMzYYxhxYoVGDJkCORyOUqVKoU9e/YgODhY0Lgov6jL7vwCABMnTkRcXBxOnDiBPHnyYO/evejYsSPOnTuHMmXKgDGGQYMGwcfHB+fOnYODgwNWrVqFli1b4urVq6a76kosEmMMf/75J4YPH46MjAyUKVMGe/bsyfIZEQLlF3U5Mb989tNPP6FPnz548eIFpk6dip49e+LgwYM0VUcuxxjDwoULMWrUKCgUCpQvXx579uxBYGCgyfZhMR2/7FCvXj0sXboUUqkU+fLlg41N5ulJSkqCRCLB9evXIZFIsqzj7OwMAJgzZw4WLFiA+fPno0yZMnBycsLw4cPVboB2cnLK8tzf3x8PHz7EiRMncPz4cfz444+YM2cOzpw5o3PcXw8PEIlEOnWUv46FS6lSpfDixQve12vVqoUjR45wvubr66uWwDMyMhAbG8s5hBMA/v77b0RGRsLd3T1Le7t27VCrVi2cPn0aADBy5EiMGDEC0dHR8PDwwPPnzxEWFobChQtrPSZi3WJiYjB27FjI5XK0b98e4eHhqs+pkCi/qMvu/BIZGYnFixfjzp07KFWqFACgXLlyOHfuHJYsWYJly5bh77//xsGDB/Hp0ydVQY0///wTx48fx7p166iIVC4XHR2NsLAwZGRkoFOnTli9erVO73Vzo/yiLifml8/y5MmDPHnyoGjRoihRogT8/f1x6dIlVKtWTetxEev1+vVr/Pzzz1AoFOjWrRtWrFihdgHGWNTx+4KTkxOCgoLU2itUqACFQoGYmBjUqlWLc93z58+jdevW6N69O4DMuQYfPXqEkiVLat2vg4MDWrZsiZYtW2LQoEEoXrw4bt++jRIlSiAjIwOXL19G9erVAQAfP37Ew4cPddquKRw+fDjLeHyu2PlUq1YNcXFxuH79uupK4d9//w2lUpnlKuCXxo0bh759+2ZpK1OmDObNm4eWLVtmaf98TwUAbNmyBf7+/vjmm290Oq7sml/PHPP16bpNY4+Ra31LmH8wb9682LRpE27fvo2xY8fmmCuolF/UZXd+SUlJAQC1kQESiQRKpVLjMmKxWLUMyb3y5cuHDRs2qKpnUn6h/PKZLvmFy+fXZDIZ7zLmZmlz41krf39/rF27Fq9fv8awYcPMkl+o46eDokWLolu3bujZsyd+//13VKhQAe/fv8fJkydRtmxZNG/eHMHBwdi5cycuXLgADw8P/PHHH3j37p3WBLd27VooFApUqVIFjo6O2LhxIxwcHFCwYEF4eXmhdevW6NevH5YvXw4XFxeMGzcO+fPnR+vWrbPl2I0ZKlGiRAk0adIE/fr1w7JlyyCXyzF48GB07txZ1WGLiopCgwYNsH79elSuXBm+vr6cV9MCAgJQqFAh1fM5c+agSZMmEIvF2L17N2bNmoXt27erXdEkucO5c+cgl8tRv359AEDz5s3RvHlzgaPSDeUXwxiSX4oXL46goCAMGDAAc+fOhZeXF/bu3asq1w5kfuHz8PBASEgIJk2aBAcHB6xcuRLPnj2zmPcUMa3Tp09DJBKhTp06AJBtnw9ToPxiGHPll8uXL+Pq1auoWbMmPDw8EBkZiYkTJ6JIkSL0a18udfLkSdjZ2aFmzZoAYPapPajjp6Pw8HBMmzYNo0aNQlRUFPLkyYOqVauqJoGeMGECnj59isaNG8PR0RH9+/dHmzZtEB8fr3G77u7umDVrFkaOHAmFQoEyZcrgwIEDqrH34eHhGDZsGFq0aIH09HTUrl0bhw8ftpjqT5s2bcLgwYPRoEEDiMVitGvXDgsXLlS9LpfL8fDhQ9WVMl0dOXIE06dPh0wmQ7ly5bBv3z6NFbqIdfryfhtXV1dcv37dpGPhswvlF8Pom19sbW1x+PBhjBs3Di1btkRSUhKCgoKwbt06NGvWDEDmEKyjR4/i559/Rv369VX3ie7btw/lypUz+THsuvKJ97V2lYW5Cq8pJkCYuMwZE9+2GWOIurQBo0aNgoeHB/7991/4+/sbvB+hUH4xjDnyi6OjI3bv3o3JkycjOTkZfn5+aNKkCSZMmAA7OztBjpMIgzGGP/74A2PGjIG3tzf+/fdf1UUFcxKx7KiakkMkJCTAzc0N8fHxWidDJdYtu4Z6Csnah3qmpaXhhx9+wNq1awEAXbp0wcqVKwW734byCzGEMR0/c3UaqeMHyNJSsHzmSJw9uh0A0L17d6xYsULj8EBzovxCiPVITk5G3759sXXrVgCZU58sXbpUbaoyc6Bf/AghFufly5do164drl27BrFYjDlz5mDEiBE55n4bQojlinnzEnPG9cSzh7cgkUjwxx9/YMiQIZRfCCFGe/r0Kdq2bYtbt27BxsYGCxYswA8//JBt+YU6fiRXyq5frvT51U3XX9j4tqnLuvrISb/ufen06dPo0KEDPnz4AC8vL2zbtg0NGjQQOixCiBW4deU05k3oi8T4WLh65MG+3Tt4J98mhFiG7Ze5Rwxkd1GbY8eOoXPnzvj06RN8fHywc+dO3qJL5kKTnhFCLMrGjRvx4cMHlC9fHteuXaNOHyHEZM4c2Y7E+FgULl4es9f+TZ0+QojJrF27Fp8+fULlypVx/fr1bO/0AfSLHyHEwixevBgFChTAmDFjTD6/DSEkd+s/di588gWgTY9hsLMX5n4+Qoh1WrlyJYoVK4Zx48YJVsyHOn6EkBzt+fPnWLx4MX777TeIxWLY29tjypQpQodFBCJEFUxzFhbRtK62/ZqLtuPZyTNsCgDaaxg6pe14NJWa07RdYzx9+hSXdy7DrFmz/j//mge61p5tln0RQnKXJ0+eYNWqVZg5cyZEIhGcnJwwefJkQWOijh8hJMc6efIkOnXqhI8fP8LLywthYWFCh0QIsRJf328zevRooUMihFiJw4cPo1u3boiLi4Ovry+GDx8udEgAqONHrIyxBVKMKabCJTmDu0qTMdvUlSVPWfHl/DZKpRKVKlVC9+7dhQ6LEGIFGGP47bffMH78eCiVSlSpUgVdunQROixCrIKQhVT49p2dlEolZs6ciYkTJ4IxhmrVqqFjx45Ch6VCHT9CSI4i5Pw2hBDrlpSUhF69emHnzp0AgL59+2Lx4sU0eTYhxGgJCQkICQnB3r17AQADBw7EggULIJVKhQ3sC9TxI4TkGE+fPkWbNm1w+/ZtQea3IYRYr8ePH6Nt27a4e/cubG1tsXjxYvTv31/osAghVuDhw4do06YNHjx4AKlUij///BN9+vQROiw11PEjhOQYcXFxePz4MfLmzYsdO3YIUuqYEGKdPn36hMePH8PPzw+7du1CtWrVhA6JEGIlPn78iMjISOTPnx+7du1ClSpVhA6JE3X8CCE5xjfffIOdO3eifPnyyJ8/v9DhEEKsSOXKlbFz505UqlQJfn5+QodDCLEi1atXx44dO1C1alXkzZtX6HB4UcePECKYpKQkDBw4EMOGDcO3334LAGjevLnAUZGczFxTNuS0fRq7X2OmTtBG09QKmqZ60EZTSIYcT0pyAlbMHoXW3YegcLGymY15a+LCKwCv/tueUH9fYt2ELHKiL1PGqlDqd2vGuvNxnO0hNdw52zUVcNE3Xn2LwXy5/fj4eAwYMADjx49H2bKZ+aV169Z6bU8I1PEjVkXXipX6VLbUdVmuKpoDarvpvB+u9ZefjefYpno8XOsaW1HUHNU/v9z321eRmB/WHVHPHuDixYt48OABbG1tTb5PQkjuE/XiMeaM6Y6oF4/x7MFNzNtyARIb+spDCDHevXv30LZtWzx69Ai3b9/GrVu3IJFIhA5LJ2KhAyCE5D4RF45hct/6iHr2AH5+fti4cSN1+gghJnH17BGE9W6IqBeP4enth8GT/6ROHyHEJPbs2YMqVarg0aNH8Pf3x7p16yym0wfQL36EkGykVCpxYMMf2LVyBhhjCC5TGWf+2kv32xBCjKZUKrFrzRxsXzUbAFCifDWMnB4Ojzw+AkdGCLF0SoUCEydOxLRp0wAAdevWxfbt2+Ht7S1wZPqhjh8hJFukpqZi0c8huHb2IACgQdve6D5sJvz86EsZIcQ4aanJmD+xH67/cxQA0LRDf/Qc9itsbGgkATENfe+DE/JePlPFqukeOH3v5dtyMY6z3cGG++5eQ+475NsHny7VdPsbJSUloVOn7jh8+DAAoHnnH9Bt8FScemoDPP2UI+/b5EMdP0JItrCzs0OGQg4bWylCRs1F3ZY9hA6JEGIlbKX2UGTIYSu1Q/+xf6Bu8y5Ch0QIsRL29vZIT0+H1M4B/cPmo1aTDkKHZDDq+OUiXEU9zFHAQ0i6HiNX0RRAv2IsxuzHieMKV0yq+i23Pg5KtTZdi7Nw7QPQPU7uwjLq54cvns/7YYxBJBJBLBbj9KFtePz4MSpVqsQfOCGE6OhzfpFIJBj2y0rEvHmBwsXLCR0WIcQKfM4vNjY22Lp1K1YfvovAomWEDssoFtXxO3v2LObMmYPr168jOjoae/bsQZs2bYQOixDCQalUYurUqXjx4gXCw8MhEong5uZGnT4iGE1TApirpL+26Q1EGkZLaYtJ07Y1bRcAFEZM52DMlA2aaArp63iVCgW2r5yFuI/vMGD8AtiIRXBxc4eLm7vautrOoxDvC0JIzqVQKPDzzz8jPj4eS5cuBQB4eXlZfKcPsLCOX3JyMsqVK4fevXvj+++/FzocQgiP5MR4tG7dAwcPZt7PFxoairp16wobFCHEKiQlxGHR5P6IuHgCAFC3RVeUKl9V4KgIIdbg48eP6Nq1K44dOwYA6NWrFypXrixwVKZjUR2/pk2bomnTpkKHQQjRIOrZA8wP6463ryJhZ2eH5cuXU6ePEGISLyPvYe7YHnj3+hls7ewxIGwBipejTh8xP3MX8MiOCd/5ip90qebO2Z6u4B86wDdqQMozURzf8uk8cw5L9Ksdo3Efum7r5s2baNu2LZ49ewYHBwesWbPGqjp9gIV1/AghOdvV0wewYtqPSEtNgr+/P/bs2YOKFSsKHRYhxApcPLkXS6cNgSw1Gd6+/hg1ewMKFSsrdFiEECuwZcsW9OnTB6mpqShcuDD27NmDsmWtL79YdcdPJpNBJpOpnickJAgYjfCELOSSXYVluLbJtW8nnne+roVTIj6plwgv7yFXa0uWc1/6SparX35KyuAo7gL14i5cRWC41nW2UV8XAH75K0mtLa+DbjFq+jv+9ttvWPjzWACWO7+NPii/EJJ9dof/jm3LpwMASleqg2HTVsHV3UvgqMyH8gsh2WfKlCmYOnUqAKBx48bYvHkzPD09BY7KPHh+kLUOM2fOhJubm+rh7+8vdEiEWK1KlSpBIpFgxIgROH78uFV3+gDKL4RkpyIlK0AkFqNltyEYP3+HVXf6AMovhGSnb7/9FmKxGGFhYTh06JDVdvoAK+/4hYWFIT4+XvV49eqV0CERYlXSZWmq/69fvz7u3r2LP/74AzY2Vj2YAADlF0LM7cv8Uq5Kffyx5SK6D5kKCeUXQoiRvswvzZs3x7179zBjxgxIJBIBozI/q86ednZ2sLOzEzoMQqzS5b/3YtOC8ajxzykUK1YMAFT/zQ0ov1geTaX5NZX0N2a77bUUZtC0X2OmgtBGrGFdpZapHrgHkWeSaygGoS1eW/F/O/7n2C5sXDQJU/48AF//wlAywC8gGIwnNk0hazuP2v5GQqD8kvvwFXHhK/qiaR2+9nXn4zjb+W5z0TTtC18Rl7h07g+6Hc/yzlLujKLvMQCAA8/8xQpl1pjOHdmKbct+Re3L/6BQoUIAjPv+YsjfSCgW9YtfUlISIiIiEBERAQB49uwZIiIi8PLlS2EDIyQXUSoU2LZ0ChZP7IVPH6Ixf/58oUMihFgJRUYG1i+ciIWT+iH2fTQOb18hdEiEECuRkSHH+vlhWPrrD4h9/waLFy8WOqRsZ1G/+F27dg316tVTPR85ciQAICQkBGvXrhUoqtxD1wItxizHR9dCMLpuM5mnfLATx9UirmIq15LUhwIEu2Sotb1J4x4ykM9eoS1EANxFZLj242Srvj2uYwGApET14xlQ202tjetcNi2myDK/zU8//YQZM2Zw7odLdhX5IYRYnoS4j5g/oQ/uXDsLAGgTMgKd+48XOCpCiDWIj32PhRN74f6N8wCAtr1+wpw5swSOKvtZVMevbt26YHzjPAghZvXi8W182z0Ez549g6OjI9asWYNOnToJHRYhxAo8e3gT88O648Pb17BzcMKgiYtRtX5rocMihFiBp/dv4I+w7oiNeQMHRxcMnLgU39ZpDrHYogY+moRFdfwIIcKIvHcdMwa3RLrMuue3IYRkv0e3L2PGkDaQp6fBt0Bh/PTbBvgXLiF0WIQQK3A/4iKmD/0e8nQZ/AKCMXLWBuQPzD31CL5GHT9CiFYFg8sgsFhZFPJzt+r5bQgh2a9QsfIICC4NVzcPDJ26Ak4u6kPPCbEWfIVAvi5A8pnEgB+l+PYh0bMiFF9MAJDOU1LJkec2k8R07gORKbnb15yL52xP4Zi3+DOpWL1QTGCxb+BfpCQ88/hi0OSlcHR2xedyUHznSd+iOZaEOn6EEE6J8bFwdHKFxMYGNrZSjPxtG/o2LGD1pY5JzqapCqam6praGFPxU9Pr2u5OMObmBWMqaGqKS1tVzwwNr9vo+L0yMe4jnFzcIZZIYCu1w9jfd8DF1QVisZjznEi0bFfT8Wp7X2iq+pkTK34SQjRLiPsIZ1cPiMViSO3s8fP8nXB0ccuVQzu/Rh2/XGT5WfWrJ1xFPfjoWoSDr3CKrtvjKgDCFTsXJyPf0VyFXPZ/kKq11XdXL7Cy/KX6zrv7cRdx4Sr68iJNfd8F7dWvXj1OVN8PV7EYrngAYEAAR+xfnd+XjyKwfEJ3VK7fBl0H/woAcHJxw5bLiZzb5ML1PjD276MrKiJDSM4Vee9fzB/fAzUad0TnHyYDAJxc3SEW0z38hBDjPL5zFfPHh6Buy+7o0C+zOJSzG13A+Yy6voSQLC79tRVzBjXBx3evceOfI0hN1r2zRwghmpw5uAm//tgMsTFvcP3sYaSlJgsdEiHESvy9bx1+HdQCnz5E4+rpA0iXpQodUo5Dv/gRQgAAigw5dv45Aad2LQcAlK/RGAMnLoeDk4vAkRFCLF2GPB0bF47Hid2rAQAVazXDwElLYe/gJHBkhBBLJ0+XYdfiMTh/cC0AoHLdVhjw82JI7RyEDSwH0rvjd/PmTRw4cACenp7o2LEj8uTJo3otISEBw4cPx5o1a0waJCHEvBI+vcfKySF4fPMCAKB5yBh07DuWxsMTQowW9/EdFk4IwaNblyESidCubxhah4yi/GJl9C2UkR2yIyZTFQjRt+iLJuk89/8qeEZT8xVekUr4h1/LeG7rkfHs245nWx9l3HUD/J3Ub0sBAC/7rNv59D4af44PwZO7VzPzS/8JaN59BEQiEdL/f7dMSLWcN9Rzy8U4zvYu1dzNul+9On7Hjh1Dy5YtERwcjMTEREyaNAk7duxQTaqempqKdevWUcePEAuiVCjwx7AWePviIewdXRD68zKUr9mc7rchhBgtI0OOaYOa4+2rSDg4ueDHKSvwTY0mQodFCLECGfJ0TPmhKd6/eQFHFzcMnLwKZas2FDqsHE2vjt+UKVMwevRoTJ8+HYwxzJkzB61atcKOHTvQpAkl8q/ltAIT+hRyEXI/XOdI1+IuXOv+cTJBrS2JpxxwXgf1IimVnNXbuJZLf/dCfT/ehTn38zfHhb0MOddYdPVhCtXc5Wpt9zkKvnT3475apl4cxga1u0/A3+t/RedJm+HtXwzvUoEEjqt5rhxlmic1dubcDxeuz4Qx6/J9nqiQCyE5g42NLb7vMw771v6OEbM2wC8gSOiQCCFWwsZWivZ9xuHgpoUYOWsTPPIVEjqkHE+vjt/du3exYcMGAIBIJMKYMWNQoEABtG/fHlu3bsW3335rliAJIaalkKcj/t1zeBYoCgAoVasNilVtBhtb9QqmhJiaMVMyGDPtgiaapjfQVtJf43QOWvarYPoP49Jl2zLu6z4qcTxDuwBAqmUEpkTDaAA7MYM8XYaPb1/B9/+dvG8btEeF2q1gJ5VCoV6oWMVWw361jj/QsICm6RoAmrKBEEuSLkvDx5go+PkXAQDUatoZ1Rp+DxtbqWpoJ+Gn1wB7Ozs7xMXFZWnr2rUrVq1ahU6dOmHPnj2mjI0QYgbJn95h+8/NsW1cEyR+eKNqp04fIcRYnz5EY/bQlpg9tCXiPrxVtVN+IYQYKzYmCr/82BzTh7RCfOx7VTvlF93p9Ytf+fLlcerUKVSsWDFLe+fOncEYQ0hIiEmDI4SY1ot7V7FxSg8kxUZD6uiKuOhIuOTJJ3RYhBAr8OT2JaycFIL42HdwdHZDzJtncM/jK3RYJJsIWcSFT3bEZKp9GFLEhe/2Cb7iLnzFWhw5buMAgDep3IVXNImTc+/73yTubVV24Z7v+O1X+3566zw2/9oTSXHv4ezqgeioZ3D28M6yjAPPcfCdJ77zwXf++G4j4SvMo0kXgQrO6NXx++GHH3D27FnO17p06QLGGFauXGmSwAghpnXp0FrsXjQaigw5vAKKo9XPW+CZP1josAghFo4xhrP71mDbwrFQKjKQv3AJDJ2xCT756X4bQohxGGO4sG85Di0bD6UiAwFBpTFs5kb45CsodGgWSa+OX9u2bdG2bVve17t27YquXbuqnm/ZsgWtWrWCk5P1z9OT0wq5GIPvygjX8Rhz3Prsx4njKo6uhVycbNXXdbLlvsLEVZiGa5sn3qsPKxB7FlBr2/kmnXM/NrZ2am2S13fU2u47uqu13XNwVV+Xo83t//vIkMtwavlo3DoaDgDIX7UNKg1ajkQHFySmZS7b0JsjTo4rfVyFXPT5OxrDUj9PhFgzuSwNW+aPxoXDGwEA39Zvi95jF8LeUfeiT4QQwkUuS8WeBcPx7/EtAIDy9Ttg8M/zYWfvKHBklsusE7gPGDAAVapUQeHC3JUNCSHmd2X73MxOn0iEmj0mI2/LnyASGV5QghBCPju0fg4uHN4IkViMtv2noEXXwZRfCCEmcXz9DPx7fAvEYgma9v8VNb8fBDt7quBiDLN2/JimMmmEkGzxbbvheHX7LCp3GI1CFRvhRRp9KSOEmEaTbsPx5NYFNOs5BiW/rQeRiP7dJ4SYRv2uo/Hy3hU0CvkZRcrXFjocq2DWjh8hJPsxxpB0+yRYg2YQiUSwtXdCx5lH6Sq8BTNm+gMhtmsMY6Zk0MbQKRt2GHDjvmqfWl7XNL2BUsvKsRqmZMjQUigigacAA8Bf6AHIzC+Pr55AsW8bZeYUGzf0m5uZXxLSARdb/gNyk2o+IBlPQQUAsNUwhQQA2GiaCkLLecyJnwNiXlsuxnG2d6nmbrJ96FvwQ8LzHtZU9EXB896W8XwMP6VzF1h5yFN45b2c/4MVmZjCHVN8DPcKUvV5iQEALnlU/8sYw9Prx1G4YiPYiABnZzcMmpf1+8vFD/wVPGty3baiAV9hHr73h77byYn0ms6BEJKzKeVpiAofiufzO+HKzj9U7dTpI4QYSy5LxfbfBmDNz+1xdudiVTvlF0KIseRpKTg4tw92Tv4e1w8sVbVTfjEt+sXPRExdeCK7CmZk1z74jkfXZZMz1D/4XMs52aovl8xxZXtjNPfVrXd/Jam17X2vvqzs40u1Nomrt1qb880DnPtJ8K+g1ub5+KRaW2JwA7U2BUcRGaVcBnlsFF4t74fU5xGASIwnqUB8jExt2WKu6lfdlkSqF7sJDVA/b8vPxqu1OfFkEV2XtabCSIRYq0/vXmLj1O6IehwBsVgCiUT/Mu+EEMIl7u1z7JneFTFPb0EklkAspvxiLtTxI8QKJD+6hFcr+kOR+AESJw8U6PsnXMt9J3RYhBArEBlxFpunhSA5/iOc3LzQbcI6BNH9NoQQE3h242/snx2KtMRYOLrlQeuwDQgoUwsAFXExB7N2/AoWLAhbW1tz7oKQXI0xho8nVyJ660RAmQF7/1LwH7ga0jwBQodGCLFwjDH8s3sJjqyYCKVSgfzB5dFjyiZ4+vgLHRohxMIxxvDxxArs2D8bTKmEX9GKaDN+E1y91Uc1EdMxquN37do13L9/HwBQokQJVKpUKcvrd+6oz0tGCDGd9HeReLttEqDMgFvltsjXYw7EUprfhhBivJiXD3Fk5SQolQp806gL2g6bD1s7ngINxGLpW4TEkgpZ8JFoKRZkCnznie98J/EUa8rQEGoKx20wABDHU5QliWf5FJ7CSo9fPeXdt0gh52x3fh/J2Z6cNzjLc9mbR4jZNxtgSvjW7Yng3gvwQGoPJGa+/g3PcQc7Z/DG9C6V+7jzOnD/esh3G5KE57ZCQ4oC8f29hfocGdTxe/36Nbp06YLz58/D3d0dABAXF4fq1atj69atKFCAeuuEZAc73yD4dZsFRWoivBr0o5ugiV40VSzUVl3TEtfV9PHQVLlTwTR/rjRVjdT2BVOuYTRTkoaKepmv88f1OFnzP+/RGtat4Jx5z6/UryQa9M+8Gv9Ny4FIEomAdCC/g/o9wbrQdKwAYK+hmqi2zGbM7FFUuZOQ7Gefryh8W42Gq1c+5GvUn76/ZBODOn59+/aFXC7H/fv3UaxYMQDAw4cP0atXL/Tt2xdHjx41aZC5kbHFLXQtpqLPfowpwsFVnGVAbTfOZX/hKLBS2EX9Cg/XNrm8SVO/Sbg+z7/zO9+olwK2sbVTaxNlqBdNsX12VX3dhDec+/G89K9aW3pgdbU2ha29WlvC7ZOwcfaEfYGSAACPGl1g9/oWEHU7y3JpvsU49/3eUf0XwUFF1M8R15WzNxxzAAZz/G0A7r+vPkV+CCHZ7+Otk/hQIC/yBJQAAHzTYoDAERFCrEXig38g9cwPO59CAACv2t3hkz9Yy1rElAyazuHMmTNYunSpqtMHAMWKFcOiRYtw9uxZkwXHZcmSJQgMDIS9vT2qVKmCK1eumHV/hOQUjDG8P7cZL+Z3xsulfaBIjhM6JEKIlWCM4dm+33F9Rivs/rUL0pLihA6JEGIlGGN4f2IlXq4ahJfhw6FIU7/AT7KHQb/4+fv7Qy5XH9urUCiQL18+o4Pis23bNowcORLLli1DlSpVMH/+fDRu3BgPHz6Ej4+P2fZLiNCU6Wl4vXs64m8eAwA4BlWGiOOXSEII0VdGWhLuLhuIdxd3AQAKlKoGG6n6aANCCNGXQpaKp0cW4dOjywAAp8IVIbLhn4SdmJdBHb85c+ZgyJAhWLJkiaqgy7Vr1zBs2DDMnTvXpAF+6Y8//kC/fv3Qq1cvAMCyZctw6NAhrFmzBuPGjTPbfgkRUnrsG7zYOAZp0Y8BsQS+HabAs15vGg9PCDFayttIRMzthKRXdyGS2KB46O9o2pbyS25iDcVa9MV3zHzFOwD++3XTeQqj8N0Ko1ByL897PzDP8gD//cdpPDHF8tw3HPHiGWc7E/EPDHR/ep6zXZz4VvX/KQkfce/MdqTGfwAktvBrPwkeNTpnbvv/y3xISeHcjrM7d+fQTsJ/Q68dT7iaiq9w0bfgkSY57fNlUMcvNDQUKSkpqFKlCmxsMjeRkZEBGxsb9O7dG71791YtGxsba5JA09PTcf36dYSFhanaxGIxGjZsiIsXL3KuI5PJIJP9dy9WQkKCSWIhJLskPr6MV1smQJGaABtnD/h3mQHHSq2FDouA8guxfO9v/IXbi0KRkRwHqbsvyo3YCI/iNSASGVa8hZgO5Rdi6T6+foSH5/dCIZdB6uCCfANXw7FQBaHDyvUM6vjNnz/fxGFo9+HDBygUCuTNmzdLe968efHgwQPOdWbOnImpU6dmR3hGFT4xB659G1tYQ9diKlz7GVBbPZ4/TnL/Q1bYRbdJO504KsA9TVR/S79IU78E9DAhlXObnhyFTz7Eq1/5YTbqwyzljhxXdVJ1v2qktMk6tIoxhrhjf0KRmgBn7wCUaNQLdqI0pLy+pbaubWqcWpuMI0YAaJVHvYCNrrgKuXD9HYCc95kwtezML4SYGmMMLw7OR0ZyHNyCK6PcyC2w9zTfrRpEP5RfiCVjjOH1vYtQyGVw9fZHidrtkUidvhzBoI5fSEiIqeMwi7CwMIwcOVL1PCEhAf7+NPEssQwikQjF6ndH1M2/EVCxCcQ2tkKHRL6QnflFiHLzxuzTmHWNKctvDE2XtWxEmoPSMBKLdxjYZ3xDsgAgXsOUCwAQmcL/T/itZM2/2uW3s0HFYevw9NAiFO0wAZIv7hl20jCUCgDEGsJy1DAlA9/cWKrtan5ZI00jU4V6TxmDvr8QSyYSiVCiVju8eXAFAWXrQCxRrxxOhGFwno2MjMSECRPQpUsXxMTEAACOHDmCu3fvmiy4L+XJkwcSiQTv3r3L0v7u3Tv4+vpyrmNnZwdXV9csD0JysrRP0Yj+f4EFALC1d0JglZbU6cuBKL8QS5P29gneHZynem7n5oMSXX/N0ukjOQPlF2JpUj69RVTECdVzqYMzAivUp05fDmPQL35nzpxB06ZNUaNGDZw9exbTp0+Hj48Pbt68idWrV2Pnzp2mjhNSqRQVK1bEyZMn0aZNGwCAUqnEyZMnMXjwYJPvj5DsFhd5HU/3/wGFLBm2zh7IU6a+0CERQqxE/I0jeLGsHxQp8bD1zI/89boKHRKxUHyFL0xZxIKvyApfkQ59Y+Iv3qF/USMpzy/ka87F67UPZyn3bS4fOebP/czRhnudKx/0u1jMHLnnVRal8B0DII5/pfr/j68f4eGFg1BkpMPGKwBexaqqryB14NxOfif1W2wAIC6d+9gCHPlHMzjwjDjQVLSHi4TnZ7GcVqjFEAZ1/MaNG4dp06Zh5MiRcHFxUbXXr18fixcvNllwXxs5ciRCQkJQqVIlVK5cGfPnz0dycrKqyichlogxhlcPruHF3UsAGJzyF4NrYHmhwyKEWAGmVOLtvt/wdvd0AIBT0WpwKVlH4KgIIdaAMYYXt8/h1Z0LAAA3H3+4+pcQOCqiiUEdv9u3b2Pz5s1q7T4+Pvjw4YPRQfHp1KkT3r9/j0mTJuHt27coX748jh49qlbwhXAztrDGgNrcV4R0wV1YhvuSSkyqbiOQkzLUl0vgKEDDVciligf3HFUXY9SvArrd2qfWFl+ouvpyzy6otTFX7mIJooQ3AIAMeToeXT6Cj68fAwB8yjVEwXohmUM7M9KgtFWPk6uQy9eFYQBAHPtKrQ0A3uQvpdbmmqHbTTBchVz4iv7wFX0hhGQPRWoCXizrj/h/DwEA8jTsj/zdZkJMc2gRQoyUkZ6GhxcOIPZNJAAgX7FKKFShHjJ4fj0kOYNBHT93d3dER0ejUKFCWdpv3LiB/PnzmyQwPoMHD6ahncQqpCTE4t4/e5Ga8BEisQSBDXvDp2wDocMihFiBtDcP8XR+F8iiH0Nkawf/0Hnwqt1D6LAIIVYg7e0TPP1rHVITP0EssUFQ5SbIW6i00GERHRhU3KVz584YO3Ys3r59C5FIBKVSifPnz2P06NHo2bOnqWMkxCqlJX1CasJHSB2cUbZ+Z+r0EUJMJi36MWTRj2HrmR/BE/6iTh8hxGTS3z1FauIn2Dm6olyj7tTpsyAG/eI3Y8YMDBo0CP7+/lAoFChZsiQUCgW6du2KCRMmmDpGQqySZ74iKFqlKTx8AyF1cIbhs+sRa7frCv98kEJM9QBojkkbTTG313Lz/E7eogzaaRp8rDRiZHKGhvkcFFq2K9OwLtNSaEKi4YjK1WgD9/QVyFvhO9i7q98OkdeWf75UTVMyAIBYw/QWUg0F/EQa/wLG0fT366DlPZUTP185WXYUuOAr4mIqpjwGvkIxfIVGJGLu9jgZ928xCg054lYC99d4N57P4dPkNM52G3snzna751c52x39AiFuMQxuQZUhdnJDyheviZQ8uSWde/5kL57z5M5T7EbTnSmJPFPg8OU0vsI81lDEhY/ev/gxxvD27VssXLgQT58+xcGDB7Fx40Y8ePAAGzZsgITKthLCKSM9FY9ObUJawkdVW95CpSF1cBYwKkKINZAlx+H0gr5Iev/fvb0F6/Xg7PQRQog+MlIT8fTAfKQn/FfHI0+5RrB1ovv5LI3ev/gxxhAUFIS7d+8iODiYJhS1IFwFVrgKvnAXYuEu4qFrsQ+u5XwcuK/mcK3PVVhm+Vn1MsOvYtVLGIcGqL/N7ydy7hpSR/W5kuQuftwLfyWpwDdqbWJ55hWutA+vEHngd8g+vkZyShIqNOoB0VczDkvf3dNpP4kVO6q1KWNfq7XlKVCUc/14ufp5z2evXh75TZr6RRyuwjt8f0cufO+trxlbiIiQ3OTTy3s4PqszEqIjkfjuBVpMPyZ0SIQQK5ES8xxPds+CLO4d0hM/oliXX9S+vxDLoXfHTywWIzg4GB8/fkRwcLA5YiLEqsQ9uIDn++ZCmZ4CW9c8KNDkR4iUSUKHRQixAs8u7MGZRQOQkZYMZ29/VOvzG30pI4SYxMf7/+D54cVQymWwc8uLgAa9Kb9YOIOKu8yaNQs//fQT7ty5Y+p4CLEaTKnEm1Pr8HTHL1Cmp8C5YBkU77sYTvm4f4kjhBBdKRUKXN0wCSfndEdGWjLylamDNnP/QZ4iFYQOjRBi4ZgiA2+2TsTTfb9DKZfBNbAcSob+Bse8hbSvTHI0g4q79OzZEykpKShXrhykUikcHByyvB4bG2uS4AixVIq0ZLzY8QsSHl8CAPhUaYv8DfpAJDHoI0cIISqpSXHYPqMXnlw/AQAo03oovu3xK8SUX4gB+IqT6Fvggm87fDRtX9+Y9I11y8U4zvZ0DXcuSHl/KuH+BYyviEsqz9y3n9K5d8BXsAQA7vDMe5ws4y7iIuHJEbJPb1X/r0iOw+u1w5D8MHNuYu9a3eDXsB+UYkmWInR88/VJfbg7h3ltuffta6d+qwkApCm4j9vFlr+6C9+51beIC9/7w9xFh7KDQf9KzJ8/38RhEGJdRBIbyJM/QWQjRUDzYfCiqRqIEcxVWdBc1Qy1raupMqe2qp6aRhkxLUUjNVV+1FZBUxOJhrEz8gzN69pq2K2jhPtbqI2dDVLi3sHGzgGthi9BmXod/v/Kf8sXEXN/mfpMyvOlFND8xQoAnDS8bkzlTk1raqvMaUy1V6rcSch/RDZSZCR+hEjqiIA2Y+Fepr7QIRETMqjjFxISotNys2bNwsCBA+Hu7m7IboiOdC3awlU0hYs+hTW49s1VyMVYXIVcTryXqrU19FafFOEaR8GXxzxlk13VF8V73+JqbXZeBdTa7K/tBGNMNf69RJP++OQRCAf/Uvj62pvT63/V1k/PW1KtLcm3hFobV+TMxk6tLdiO+0tjHM9VtK/pWvCFz8gG6oVydH2vEkLUfc4vUntH9Jq6CR8SkuBbuIzQYRFCrMDn/CK2c4R/nyVQymVwcVL/d5xYNoPu8dPVjBkzaNgnyRWYUoEX53fg9aW9qjY7Fy84+JcSLihCiFVQKDJwYPkEnNg0V9Xm6VuQOn2EEKMxRQbe7p6BjydWqNqk3gVhT/UIrJJZbwhg2sbdEGIFMpJi8fzP3ki8nXm/jVfwt3DMo/6LICGE6Csp/iM2TuuFxzfOQCQSoWzt1sgbQF/ICCHGkye8x/PFoUi6fxYQieFavgmk3gWFDouYEd0JTogRUl/ewdP5nZH+/jnENlIUadibOn2EEJN4/fgm1k7pjk/vXkJq74hOo5dQp4+YnL6FUcy9HU3b0reADJ90JU8REA3j4PQt1qLI4N5YCs/y3jy3Z/wbr35by2cVHLnXuaTgXsfH9r+Y4p/+i/tzOyHt42uI7ZyQv/ci2AdkHUUglzp8vQkVG3snzva8Uu6uRRU37hueAxy570fmO9987QDQu5Y7Z7u+7xtN+zAVUxVV0hd1/Agx0KeLO/By1SAo01Mg9Q5E8Ua94eQdIHRYhBArcOX4dmyaOwQZ6WnwylcIvaZsgl9hGjpOCDFe1JmNuLtyMJRyGRz9gpBv4BrY5ysmdFgkG1DHz0S4ClRkVyELXfc9oHb27PuPkwlqbboW+gCAd6nqBUScbdSvalVzl+u0rhtXBToZ567RxU/9hS1QH/bwYMtkvNv3GwDApXR9BP4YDmbvjK+nZZe8e8K5n3SvwuohufqptTEH9fNmY6teyAWu3mpNF2PUC+IAQDUf9RLMXFX6kjlKSAe7qF+x4zrnAPffV9cCQ4TkZntXTMbxLfMBAMUrN0K3sJVwdKHKk4QQ4z1YPxbPDy0EAHh/0wxlB6/GO4VZS36QHIQ6foQYwM43CADg02Ik8nWYDJFYggw5T2+SECNpmnZBKJpK4GuLV9OUDNrWNebWcU37FWuYTEDbLvmGegH8c1Gp9itS33reApkXhpp0H43moeMhlnBfXLHnme4B0DwfGaB5ygZ7njmvPrM10zAobVM2aKJtGhBCSCZHv2AAQJF24xHU/meIxGIgQf2CPbFOZu341apVS21yd0IslTJDDrFN5nwPXjW7wqFAKTgGlhM4KkKINVBkyCH5f36p0bwnAoqWQ/6g8sIGRQixCixDDtH/84t/wz5wD6oE10LlhQ2KCMLgjl9kZCTCw8MRGRmJBQsWwMfHB0eOHEFAQABKlcq8D+Hw4cMmC5QQIb37Zwte7JqJ8lNOQOrmAwDU6SOEmMTFo5vx16Z5GL3oKJzdvQAA/sHlNE44T4ipCFVkQhO+mBQ8RVn4inHwLe/AM99wuoZf6BU8r4XUcOds57udha+4y9Mk7l/2Czlo+fmeQ6Mv/nQ3/1qHq3sWotuc4xA5ZOYXlCwL4L/tFnNw5tyOXEMO4nvNR8pdxCWPlPs4Mni248Az+lTT+3LLxTjO9i7Vct6IAKE+XwYN6j1z5gzKlCmDy5cvY/fu3UhKyryz6ebNm5g8ebJJAyRESIqMDDxZ9xMeLO6N1OjHiDr6p9AhEUKshCJDjm0LfsL6WT/i3avHOL13pdAhEUKshEKejr+WDMPRhYPw8dVDRBxeLXRIJAcw6Be/cePGYdq0aRg5ciRcXFxU7fXr18fixYtNFpylM0chl+zY9/Kz3EVBuHAVAPHhuDrFtU0nnnffpMbqV55++evrsincBV8SOK6kcRUk4WoDgC3R/xVOSY+Pwb0FPRB/7ywAIG/rMfBsMx4JcgVkCe/V1vX28lWPpwB3Fb4kT3+1NnHsK7W2knnzqrW5c9x/cz1JveBLm3zc5Zxfpaq3PU5U/2NwnSOuv3deB+5SzFwG1FYvLJNdRZAIyUkSYmOwckoInty6CABoHjoOzXqOETgqQog1SIp9i70zuiPq/iVAJEKt7hNRtcMoyGgUQa5nUMfv9u3b2Lx5s1q7j48PPnz4YHRQhAgtMfI67v7RGbKPryG2d0bBASvgXqmV0GERQqzAs3vXsGJST8R9eAN7J1eEjl+GcjWaCR0WIcQKvL53CftmdkdS7FvYObmh5U9rUOTbxpkv6n6dllgpgzp+7u7uiI6ORqFChbK037hxA/nz5zdJYIQI5dPtv3H7t+/B5DI4+AWj4LDNcMhfQuiwCCFW4O7lE1g2oSsy5OnwDSiKAdM2wTcgWOiwCCFW4MmVI9gzvSuUGXJ4BRTH9xO2wjN/kNBhkRzEoI5f586dMXbsWOzYsQMikQhKpRLnz5/H6NGj0bNnT1PHSEi2cilSEfZ5AuDgF4wSg9cgxZb7pmdCsoumqROMYa5pIrTFu5OncIMujBmppGliBQXTUNRBS20FTTfL2371YnDpSvDwzocCRUqh9/ilcHBSn6vzv5g0H62mV/NINa+r0PCyRMvd/4bOxqlpOg1A8/tC27qaThVN9aCZpoIm5sRXwAXQv/AFXyEVCc+hGXLMfEVZ1p3n3reMZx/JPO0BTtw/xz1N4v+qnvhVTG5BVeDkmQ/eRSqg/tBlsHV0QeIXd23Y8hy2DU9xHE2dhBKO3PFKeaaD0ZRzuPBNScNXwAUAulRz128nPIQsbGRuBnX8ZsyYgUGDBsHf3x8KhQIlS5aEQqFA165dMWHCBFPHSIjZpSTGwcE58/4zG0c3lJ98DLauPpnz28hpbAQhxHCf84tIJIKTizvGLfkLLh7eEItp0mRCiHFkSXGwc3YHANi7euH72Sfh6OELkbarJSRX0rvjxxjD27dvsXDhQkyaNAm3b99GUlISKlSogOBg8w1XmT59Og4dOoSIiAhIpVLExcWZbV+WhrtwivqllWSOq1VcxTb46Los15U3XYt6AMAfJ9UnEnXW8Z1a3kOu1hbxyVbjOtEPr2H/jK74tv0IeDcalNmY53NRFYYP8erxcBVy4ZKewj0pqtRR/Sq//b37am33be3V2sSeBdTaqnioL+dsw91hrePDUbSF473B9R7S5/3ChQq5kNwm8s4V/DmxJ1qGjkHd1r0BAG5e6kWbCCFEX9H3LuDo7G6o0m0ySn4XCgBw8vQTNiiSo+l9uZExhqCgILx+/Rr+/v5o1qwZOnbsaNZOHwCkp6ejQ4cO+OGHH8y6H5K73D62DtvGfoekj29w+6+1UGaodxwJIcQQf+8Nx29DmyP+41uc3b8WigzuasKEEKIPxhj+Pbgc+yY0RWpcDO4dWwOlgkYnEe30/sVPLBYjODgYHz9+NHtn70tTp04FAKxduzbb9kmsl0KejlMrfsLNI5nz2gRVbYEmI1fgrVjzr4OEEKKNPF2G9fPG4MyB9QCAinVbo9e4JZDYGHR3BSFmxXdPlrlpuo9K3wnc+Y6Bbx/63hMIAI56TvrO127Ds49HHNMqAYC3Xdab3eTpadi7cASuH9sEAChdpz1ajlgMqb0Inydld+A5H3z7TuWJ1Zbn3j8AkPC8xnee+O7x4zvnfKOB+P52psT3/rOGe/8M+ldo1qxZ+Omnn7B06VKULl3a1DERYlZJH6NxYFYPvPn//DY1uk9ElQ6jM+/nSxM6OkKIJYt9/waLfg5B5L1rEIlE+L7/ZDTpOozutyGEGC0u5jU2Tu2G149uQCQWo2GfX1Ht+yGUX4jODOr49ezZEykpKShXrhykUikcHByyvB4bG2uS4Iwlk8kgk8lUzxMSuO+3IrmHPC0Fm0bVRdKHKNg5uaHZ6DUo/Hl+G0L0kJ35RVP1TWMqfmpaV1vFTy0FJw2mbbPGfL3hq7KnjVxLVc/PV6zTUpIwtV9DfPoQDScXd/wwZRXKVGnw/6W4j0zTLwza9vt1xdAvibUcqo2GdTVd5QcApYaXNe1X23uGqm/+h76/kK+lJcdj8eC6SPoUA0dXT3T5ORwFytUXOixiYQzq+M2fP98kOx83bhxmz56tcZn79++jePHiBm1/5syZqiGi1syYoiv6MGZ9roItIxu4G7W+j4OWb0X/F+zyxX01LlI06fgDTh7YhIZh2+DmVwTxX9zW584xPEJsa6e+TTvd9v0+lfsf64o+6n+zuFod1drSUtX3U8RB/RtbJc90tbZkOfc3sDMxUo71dbu3UddCQgD3MA1rKuSSW/IL0Z29ozMate+Pi8d3YtiMjfDJH2jU9BMk96L8Qr5m7+SGaq374865/egxZRM8fQsilW7rI3oyqOMXEhJikp2PGjUKoaGhGpcpXLiwwdsPCwvDyJEjVc8TEhLg7+9v8PaIZZKny5AU9wEePvkBAA06DoJz7YGwsXPQsiYh/Ci/EACQy9IQnxgLT+98AIDm3Ybhuw4DIKX8QoxA+YUAmaOUEhI/wTVPZqXOel1Go3b7IbCl/EIMZPCd5gqFAnv37sX9+5kl6EuVKoVWrVpBIpHovA1vb294e3sbGoJWdnZ2sLNT/7WG5B6x799g/vgQpCYnYtyyE7B3dIFIJKJOHzEa5Rfy8d1rLJ7QExnpaZi07BjsHZ0hEomo00eMlp35RagJ3A2h7wTdfEU6pDxfVfmKx2jCV+REptSvcP7X01G9j36JBeN7QK5gGLzgOKT2joBEDEj+yy/uttyjj5IyuPftxLO8Hc8xDK6nPvXUZ0vPqI8AAoA4Gfe+vey59813/vj+dt2rm39IuDUUceFjUMfvyZMnaNasGaKiolCsWDEAmcMS/P39cejQIRQpUsSkQQLAy5cvERsbi5cvX0KhUCAiIgIAEBQUBGdnZ5Pvj1i+hxEXsGhiL8THxsDRxR3vXj5BweIVhA6LEGIFHtz4B39O6oXEuA9wdvPE29dPEVi0rNBhEUKswN1rZ7B4Um8kxcfCyc0LH948Rb7CVEyRGM+gjt/QoUNRpEgRXLp0CZ6engCAjx8/onv37hg6dCgOHTpk0iABYNKkSVi3bp3qeYUKmV/gT506hbp165p8f8RyMcZwYvcqbFowHgpFBvIXKYWB0zbBO1+g0KERQiwcYwzHdy7HtiUToFQoEBBcBsNmbIS3X4DQoRFCLBxjDEe2LsHWPyeDKZUoVKw8uk7aBI+8NMyXmIZBHb8zZ85k6fQBgJeXF2bNmoUaNWqYLLgvrV27lubwMwOugi1OPO8KYwpz6FMYhmtZrkIwXMs9/JiBg4uGI+L4f/Pb9AtbADsHpyzL8RUzeZeqPv6jhIv6CXmTpj40IZ6jmIrElXsosz9HYZq4JPV9V3RW36Ybx1ANrgIrXMfCt2+u9Z9yzClU2EV9AmprKthCiCaytBSsmzMCF49tBwBU+64jQn6aB0cHR4EjI4RYurTUZKyeNRSXTuwGANRs2gW9fvodn5Q0qo2YjkEdPzs7OyQmJqq1JyUlQSpVrxhISHb5a0UYIo5vgkgsxnd9pqHa94Nhp2P1T0JyKkOnTtjJc4+EuWmbUsqYqSA0fZq13Z9jo2GaAk1TPXye+mDdwjBcPLYdYokEXYdMx3ft+0MkEhk1hUGGhtcdeCrmfqZk/Dvmu2/mM013H2mbIkTT+0rTVA8dzHjfjLmmPCEku6z7/SdcOrEbEokNug2bgYbf982cny9V6MiINTGo49eiRQv0798fq1evRuXKlQEAly9fxsCBA9GqVSuTBkiIPup0HYeXdy+hSf+ZKFyhrtDhEEKsSNs+YxF57xp6DJ+NEt/UFDocQkxC31EbfEU39C2IwbcdTdvSd998F4MUPBcoEnmmQQL459z8lM59GcXXgXuuhUSe5ev2mIjIB7fQdujvKFymOmLSPu+X/2qKqy33awo9r66580xRte58HP86PL/zSMTc2+IrIqR7SchMhrxv9N2WNRd30a/k0P8tXLgQRYoUQbVq1WBvbw97e3vUqFEDQUFBWLBggaljJIQXYwwPIs6rnrt45sXAJeep00cIMdrX+cXTOx+mrT1HnT5CiNEYY3hy87/84u5TACOWn0fhMtUFjIpYO4M6fu7u7ti3bx8ePXqEnTt3YufOnXj48CH27NkDNzfdJhMnxFiytBQs+2UApg9qgQvHdqjaxWKD3taEEKIiS03G0il9MHNwC1w+uUfVTvmFEGIsWWoS1kwNwYIRzXDz3AFVO+UXYm4Gz+MHZE6lEBQUZKpYLBpXoRFzFL0wZj9cy/1xMkGtbWQD/nlbDI0nOUP9J36+gi+6xBn79gU2Tu2GF49vQyyRICUpcz4ZruIjXPseUJv7AsUvfyWptXHNh8NVyIXLdz7c8zA526gPASljxP3bEZ9s1dqCOc4FwH/sutCnSA8hliom6jkWjO+G15H3IJHYIDmJe74qQgjRV8zrSKya1A3Rz+9DYmOLlKQ4oUMiuYhBlxbatWuH2bNnq7X/9ttv6NChg9FBEaLJo+unMO/Hunjx+DZc3PNg3Py9aPh9X6HDIoRYgduXT2JK33p4HXkPbp4+GLtwH+q3DhU6LEKIFbh58Rjm/lAP0c/vw9XLF8PmHUa1pj2EDovkIgb94nf27FlMmTJFrb1p06b4/fffjY2JEE6MMZzesQiHVv1/fpviFTBsxnp45S0gdGiEEAvHGMOhjfOxc8WvYIyhSMlKGDx9HTy98wkdGiE5iqkKX2iqwss3ukTKUwmEv+AHT0ERnl278BRL0Yy7mMmXRVyUSiWObfodh9dOB2MMhUtXQb+p6+Dm5Qsgc58Snl3nseevZcxXMCUvT2EZvqI2Ur6da8D3PtBnNJfQrLmICx+DOn580zbY2toiIUF96CAhpvDi/lUcXDERAPBt424YOHYupHb2AkdFiPlpmx6BT3uB/lHbYcQ0EtoO1YiZIKDQMP3Bk1vnsWP5LwCAui17ImTkb7CVZg7V1jRFgbaYtP3t7LVMu6CJpukpjGHMNCCaprYwJ5qygeRkjyPO4VD4NABArdZ90GHwTNjY0vRnJPsZ1PErU6YMtm3bhkmTJmVp37p1K0qWLGmSwAj5WmDJymjUfQxcPHxQvVVfSO3M86WHEJL7FC9fAy17jIC3XwAN7SSEmFSxb+qgQaehyOsfjJotaGgnEY5BHb+JEyfi+++/R2RkJOrXrw8AOHnyJLZs2YIdO3ZoWZsQ3R0/fvz/FxNcAABNQn/+4lXq+BFCDHfr0kn4B5WCRx5fAECngZO0rEEIIbq5e+kYAopVgIuHNwCgzYBf//8KfXchwjGo49eyZUvs3bsXM2bMwM6dO+Hg4ICyZcvixIkTqFOnjqljtAjZNXbZmP1wjbse2cDw7QG6V+tMlqvXEeKrLvnHyQQwxvD31nk4suYXBBSvhMl/HlANu/qM61xwVeXkqvTJtRzfsjGp6rGXcFEfc+/EcW+Ak43uCd4pQ33Zd6nqNzRMaqxe/nP5WeOqDuparTMnjtEnRF9KpRL71v2BXatmILhMZfy8aD8kNjTsihBiPKVSiUPrZuPg2tkIKlcTg+fshcRGvfI2IUIweDqH5s2bo3nz5qaMhRAAQFpKIrbNHYRbZ/cBAHwDSwgcESHEWqQkJ2D5rz/i2tlDAAD/InR7Asnd+Aqj8BW+2HIxjrO9SzV3vbYv0VBXnqeGCy++QjHpPHVRUjguWmvaDsBfAMXxiwu8KUnxWP7LAESc/wsAUDi4BDztlbCx+S8QvpgMKSzjoMfFZYC/qA3fcSfqOHVVlm3xhKTv+4wP3/sP4H8Pkv8Y1PF79eoVRCIRChTIrKZ45coVbN68GSVLlkT//v1NGiDJXR4/foyFQ1rh3YsHkNjYou3gOajWohdspfxVrQghRBdvXjzGvHHd8ebFI9jYStFr9FzUbZl5vw2j0VeEECNEPXuA+WE98PbVE9hK7dBnzDzUbtZF6LAIycKgjl/Xrl3Rv39/9OjRA2/fvkXDhg1RunRpbNq0CW/fvlUr+kKILg4dOoRu3bohPj4erl6+CJm8AYElKwsdFiGC01ZV0lC7rhhevVETbZUdNR0P39Xi/9bl37imKpfXzh7BoikDkZqSCE/vfBg+Yx2CSlVSva6p+qamXyYAQKHhupS2ypuaOpx8V+fNTahqsIRYqqunD2DFtB+RlpoEr7z5MXT6BgSXrCB0WISoMWgC9zt37qBy5cwv5Nu3b0eZMmVw4cIFbNq0CWvXrjVlfCSXUCgU+PnnnxEfH4/AUlUw4s8z1OkjhJiEIiMDW5b9itSURBQrVxXT1vydpdNHCCGGypCnY8fyX5GWmoTiFWpg6upTKFyCOn0kZzLoFz+5XA47u8xCGydOnECrVq0AAMWLF0d0dLTporNCXEU0uApm6FpswxTrG4OreAlXPNqKj0gkEuzcuRNLly5FmVZj/z+/zX+X0bmKyOgq4pP6TdXBHEVcAO5CLiMbuKq1cReHUb/sn8wzPp5rm3+cVJ8Dk6uQi674iudw0fU9pOv7l5CcRGJjg1Gz1uP43vXoNGAizZ9FCDEZG1sphs3cgHOHN6N9/wmwoUIuJAczqONXqlQpLFu2DM2bN8fx48fx66+ZJWrfvHkDLy8vkwZIrNfDhw/xzz//oE+fPgCAoKAg/P7779nWaSWEWK/Xzx7g8d3rqNeiGwAgX0AQug3+VctahOQ+mgqacNG3iAtf8Q6+5TXh29a683Gc7SE13Dnb+b5npHBfEwaQtYjLq6f38OLhLdRs2hmJchFc8xdH836/IJUBkGcu4y7lHsedmM492M7dTv9aBnxD4011QVbT34ivyArfOTcVKuBiHIM6frNnz0bbtm0xZ84chISEoFy5cgCA/fv3q4aAEqLJzfOH8dPMAUhKSkJAQAAaNWokdEiEECtx+dQBLPl1EGRpKfD2C0DpirWEDokQYiUu/70XK2cMhjw9Dd5+AchXqobQIRGiM4M6fnXr1sWHDx+QkJAAD4//rr70798fjo6Oqufnz59HpUqVVMNCCfk8v82htbMBALVr10bZsmUFjooQYg2UCgW2r5yF3Wt/BwCUqlgLAYVpOhhCiPGUCgV2rPgVBzcuAACUqlQX+QoVFzgqQvRj8Dx+EokkS6cPAAIDA7M8b9q0KSIiIlC4cGFDd0OsSGpSPNZM64/bFzPntxkyZAh+//132NrSeHhCiHGSEuKwdGo/3Lh4AgDQvPMP6D54KiQ2Bv8zRwghAIDkhE9Y/Gsf3L7yNwCgWdch6DhgEiQ2NkiUCxwcIXow67+IjCZGUqPruGshC2bwjX03JqbbDx5j6y+d8TEqEja2dmg5dAEqf98J264mqy2rayEXrjjzOqivO4mjyAlfsRknjglURx9SjzHYRaHW9i5VfcrZvA7qy/G5n6j+ceQqIlOYozDNgNruOq3Ltz7X35arjasAjaWw5MI0mjKppikZ2lU2vCy/tvRtruyubSoIrv2+iryH38d2x7uoZ5DaOaBf2HzUbNwRgPbpIT6TaJl2QZMM8AetLZtpmkZC2x0/+k58/KWdBtxf9Zm53nOE5ESvntzGsgnd8SH6BaT2jugXtghVG34vdFiEGIQuhZJs8eLOBXyMioSbdwF0nrQZ+YIrANBwFzUhhOjo3r//4F3UM+Tx9cfIWRtRqBgNHydEV7peHNGG70IE38VkiaarHjz4tuXAUWEc4C9AwnfMXAVWzt8+iw/RL+CTLxDDZm5AQFDprOvwFHFJ57ly42XP/QJfTJrm8+TbB1+xG77zxF/gh3/nVGTFMlHHj2SLSs16ISM9FWXrdYSTu7fQ4RBCrMh37fshI0OOWk07w9WdKksTQkynWaeBUCoUqNGsO5xd6RdtYtkMmsCdEG0+ffqEAQMGIDY2FgAgEolQre0g6vQRQoyWFP8Jq2YNR3Ji5pBtkUiE5l0GUaePEGK0hLiPWDFrBFKSM29tEIlEaNltMHX6iFUwa8dPZMDP+FyeP3+OPn36oFChQnBwcECRIkUwefJkpKenm2T7xLTu3LmDb7/9FitWrEDfvn2FDocQYkVePL6Nn3vXw8l967Bq9gihwyGEWJGnD25ifGh9nNy7Dqt/+0nocAgxOYso7vLgwQMolUosX74cQUFBuHPnDvr164fk5GTMnTvXJPswlq6FI7iW4ypm4sQzDlvXZY0pWsG3ri6xXz+1FwPnDEJycjICAwMxadIkANwFRfjwHbsucXLFyNXGVQwFAPrtTVFrq+SpXrKLK0Zdi6bwxVTJU/1vmyznaON4D3AVq5nUWL2oDd++dX3/jmzgyrlNS2AphVwIv3+O7cKy6UORLkuFT/5AtAkdKXRIhBArcf7oVqydMwJyWRp8CxRG657DhA6JEJMzqOP37NkzZGRkIDg4OEv748ePYWtrq5rWITEx0egAAaBJkyZo0qSJ6nnhwoXx8OFDLF26NMd0/HI7pUKBvSt/wbEtmfPbNGzYEFu3boWXFw29IoQYR5GRgU1LpuDglj8BAGWrNMCQqSvh7EZDrwgxlqbiITlt+3wX8Jae4a7UzVd45cuYMjLk2LJ4Io7tWA4AKFutEQZMWgknFzekfnE9l68AirOUu8KKg75j6ni2b0gRle08VXuNqQRsLqaM1ZKOWygGdfxCQ0PRu3dvtY7f5cuXsWrVKpw+fdoUsWkUHx8PT09PjcvIZDLIZDLV84QEyy1Fn5MlJ3zCqqm9cf/aKQDAmDFjMH36dNjQ/FnEimVnftH0xUnTwApNZfcB40rva9q2UsuP9pq+B2awrK8mxH3Ewgm9cff6WQBAm5CR6NgvDGKJBF9P7qB1KggDv4Bq+/5mJ+E/YHN+pzbXtArmfN8Q3dD3l+wR/+k9Fk/shQc3zgMAWoX+hDa9x0EsphIYxDoZ9M6+ceMGatSoodZetWpVREREGBuTVk+ePMGiRYswYMAAjcvNnDkTbm5uqoe/v7/ZY8uNGGOIeR0Jqb0j+k4Ox+zZs6nTR6we5ZfswZRKvH0dCTsHJwyfsQ6dB074f6ePEOtF+SV7MKUS7149hb2jC4bN3Ijv+46nTh+xaga9u0UiEecwzvj4eCgUuk9YPW7cOIhEIo2PBw8eZFknKioKTZo0QYcOHdCvXz+N2w8LC0N8fLzq8erVK51jI7pzdvPED9M3Yeyfx1GpfluhwyEkW1B+yR5unt4YNXszfl11HFXqtRI6HEKyBeWX7OHulRfDZ23C1FUnUKl2c6HDIcTsDPpZpnbt2pg5cya2bNkCyf+vvCoUCsycORM1a9bUeTujRo1CaGioxmUKFy6s+v83b96gXr16qF69OlasWKF1+3Z2drCzs9M5HmPEpKr3oY0p+GKOQhRcBUC4DKjNXRTkc1ERRUYG9iyfDL/AYlg/e0jmi7X/+7tzHQ/X+fFx4B4Xr2sBG2P3w6WOj3qlWK54uNr4zhsXrr/vL38lqbVxFYzRpxgQMZ/szC+5SUaGHJsWTURg0XKo07wLANCE7CTXofxiHhnydGxYMB5BZaqg+ncdAACFS1QQOCpCso9BHb/Zs2ejdu3aKFasGGrVqgUAOHfuHBISEvD333/rvB1vb294e+s2r1tUVBTq1auHihUrIjw8nH6KF0hi3AesmtobD/89CxupHWYO/R758+cXOixCiBWIj32PueN74UHEBUjtHFCuan24e+UVOixCyBf4CmjwFT8xRDrP9dp15+M42x15vs1+uZ24j++wZEIIHt++jLNHtqJEpXpw9cijc0x8RVz48J0PBc91WinPvcJ85xswXdESIYui8O3DkJioiIt2BvWeSpYsiVu3bqFjx46IiYlBYmIievbsiQcPHqB06dKmjhFRUVGoW7cuAgICMHfuXLx//x5v377F27dvTb4vwu/lowjM7F8XD/89CzsHJ/SesII6fYQQk3hy71+MDa2HBxEX4ODogsFTV1KnjxBiEk/uXMWUPvXw+PZlODi54Icpq/Tq9BFiLQyuwJEvXz7MmDHDlLHwOn78OJ48eYInT56gQIECWV4z1VyBRLMNGzZgzqD+kKenwadAEQycthH5CpUQOixCiBU4dXATVv42GvJ0GfIFBGPk7I3IH1hU6LAIIVbg9P512DhvDDLk6cgXWBxDZ2yAb0CQ0GERIgiDO35xcXG4cuUKYmJioFRm/fm7Z8+eRgf2pdDQUK33AhLzYIxh5MiRmD9/PgCgTLXG6PXzcji6uAsaFyG5SYaGEUadqvIPbdFWll+TnRqGFxnr81AnxhjCfx+LY7tWAQAq1mqKgZOWwdHJlXdKCJGGCRKMuQwoEfGvrW2Al6ahM9pi0jQ4Ttv0FMZMq9Bew5Aobe8bc00jQYgpMcawbu5InN63FgBQsU5L9P15CRwcXYQNjBABGdTxO3DgALp164akpCS4urpCJPrvXyeRSGTyjp8lGNnAVa2Nq/gIF2MLuehaHIarAIguxWZeJTkCANr0GoO2vcf+//7KzG1xFYxJlutWYIWrEAvfsrpKylDfplOGcb8K61o4hetc8BV84fqbTWrsrk9YWrfHxxyFgwgxhEgkgrOrO0QiEdr3HYe2oaPARDRVAyHEeCKRCE4umfmlXf8JaN59RJbvq4TkRgZ1/EaNGoXevXtjxowZcHR0NHVMJAdQKpWqAjqtQkahZKXaKFqmisBREUKswZf5pX3fcShfrSGKlqkMgL/wASHEPPT9zPEVLelSzZ2zXVNxEj4Spl8HLeWLatdf5pd2/SagQs1mCCr9bdbt82yerx0A0hXcL/JuS8xzYvmKvuh5XgFgy8U4nlf0O385sSiKvkVfNK1D/mNQcZeoqCgMHTqUOn1W6szBjfh1YBPI0lIAAGKxmDp9hBCTOLF3HaYMbIb0tFQAn/NLZYGjIoRYOsYYzuxdjd+HNoc8XQYAEEskap0+QnIzgzp+jRs3xrVr10wdCxFYeno6fvzxR6yaOQRP7l7FqX3rhA6JEGIl5OkyrJg1AitmjcCj21dw6uAmoUMihFgJuSwNG34bgs3zRuHJ7Yu4eHSL0CERkiMZNNSzefPm+Omnn3Dv3j2UKVMGtra2WV5v1aqVSYIj2eft27do3749zp8/D5FIhO/7hOG7DgOEDosQYgVi30fj97AQPL5zDSKRCB37/4zv2vUROixCiBX4+O415o8PwfMH/0IkFqNtv8mo1TJE6LAIyZEM6vj169cPAPDLL7+ovSYSiaBQKIyLygL98leSWhtXsQ5di3AkZ3CPz+YqFqJrsQ6+bV66dAnt2rXDmzdv4Orqir4TlqNCjSY6bZMrHl2LzfCdC12XNWa5P04mcO57ZAPdlnWyNbzgCwAMqK2+H2Poc365iupwFSciOQfTcL+Gpuqb2uoYbLvEv662ipK63kHy4OYl/DG+F+I+voOTixuGTl2BctUaGbxfTTP4iLTU0NR0PjStaUw5CGOOx5jZirRV5jSm+iZV7iQ5xYOI81g0oRcSPr2Hk6sH+k5ag5Lf1hM6LEJyLIM6fl9P30As1549e9CpUyfI5XKULFkSe/bswZUPPkKHRQixAhdP7sXCSf2hUGTAv0gJ/DR7I3wLFOKdqoEQkv34ipPoUy0a4C80kspRbRsAnKX83yV1KThz6fhOrJz2Q2Z+CSqNQdM2wjtfYJZlpDw3NPFtX9N+pRLuF/kKivCdD03FWvTFW0CGB19hFEsqpEIFXIxj8Dx+xDpUqlQJ7u7uqF27NsLDw+Hi4oIrH+KEDosQYgWKlPgGjs6uKF2pNn74eSHsHZ2FDokQYiUKl6wIe0dnlKnaED1/Wgg7eyo4SIg2BnX8uIZ4fmnSpEkGBUOyhyw1GXYOTgAAf39/XLlyBQULFqT5bQghRkv7Ir/45AvAzPC/4e3nT/mFEGK0L7+/+OQvhClrziCPrz+UzKBahYTkOgZ1/Pbs2ZPluVwux7Nnz2BjY4MiRYpQxy8He3L7ElZODkWXEXNRvlYLAEBgYKCwQRFCrMK9Gxcwb0IfDAibj4o1GwPI7PwRQoix7v97Dkun9EXf8UtQtmpDAIC33//zCw0fJ0QnBnX8bty4odaWkJCA0NBQtG3b1uigLNGkxupDmLjGx3MVWHGyUc9YXG1829SlsAdjDIo7WzB/+DBkZGTg9pGl+HN8V87iI3yFR7iW1TUeLrouBwBPE9XfqsYUfPFx4N4P17JcBV90vfdBn2M05lzq83ckxNQYYziyfQXWL5wIhSIDBzYtxjc1vqNf+QghRmOM4dj2pdj25yQoFQr8tXUJylRpQPmFEAOY7B4/V1dXTJ06FS1btkSPHj1MtVliAumyNKz7fTTOHsqcN6tjx45Ys2YNJU1CiNFkaalYMXskzh7ZBgCo+V17DBg/n/ILIRYinafGikzB/Rl24alqnSjnXt7GgFTwueCMLC0Fq2cNw8XjOwEANZp0RshPf6jlFweei+V8xVr4CrVoom8RF3MXXtHEGgqgmPJ8kP+YtLhLfHw84uO5y9cTYXx89xoLfw7B0/v/QiwWY9asWRg9ejR9KSPEgmRoKKRsqyGLa1oP0DxNBNMydooBeB/9Cr+P64lnD29CLJGg++CpaNb5B4i15BdN+zVmSga+6oSfaTodmtbVNq1Cew1fRDRNtwFon3LDUDRdA7F0MW9eYEFYd7x8cgdiiQTdhsxA/Xb96PsLIUYwqOO3cOHCLM8ZY4iOjsaGDRvQtGlTkwRGjJfw6QMm9q6HxLgPcHb1wO6d29CoEf/8WYQQoqu4j+8QFloPifGxcHH3wvBpq1G6Um2hwyKEWIHY928wuU89JCV8got7HgyZthYlKtTQaZoHQgg/nTt+t27dQunSpSEWizFv3rwsr4nFYnh7eyMkJARhYWEmD5IYxtUjD6o1aocHN85j2MyNaNSonNAhEUKshLtXXlRt0AZP7l7HqFnr4e3nL3RIhBAr4emdD5XqtMTLJ3cwdPo6eOUtIHRIhFgFnTt+FSpUQHR0NHx8Mif3vnr1KvLkyWO2wCwNV3ENcAxn4iraEpOqXobYx0HLGK0v/HEyQfX/clkq0tNS4ZMnc6hO64HT0CJDDqm9I2fxEH0KgAyo7abWxrVNY4qUANznMi9HMRauQjnG0nWb+hyProzZJtffhhBTk6WlQC6TwdktM7+EjpgBpUIBqT1PtSRCCNFRWmoyFBkZcHLJ/Pes58jfwBiD1M5e4MgIsR46d/zc3d3x7Nkz+Pj44OXLl2Dabnog2S723Uusm9Iddg4uGDlvDyQ2tqoHIYQYI+bNC8wd2wMubl4YP38HJDY2sLGVApReCLFojxO4vwqWcs/Qazt8RV/4pH5xofXd66dYNL473PPkw8g52+BkJ4bUQfr/V//b7sc07vn6JHruW6HU/8IxX7ERiZmnEOQrHgMAXarpdz+uvgVThCykQkVczEPnjl+7du1Qp04d+Pn5AQAqVaoEiUTCuezTp09NEx3R2eMbZ7D+11CkJMTCyc0L76OewbdgUaHDIoRYgVuXT2HBxL5ISvgENw9vxLx5Ab+AIkKHRQixArcuHseyqf2QkhSPxPhYfHj7Ck4FCwodFiFWSeeO34oVK/D999/jyZMnGDp0KPr16wcXFxdzxkZ0wBjDmZ2LcWDFRDClEgWKlkfo5I3wLUDj4QkhxmGMYf/GRdiy9BcwpRJBJb/ByFnr4OWTX+jQCCEWjjGGgxv+wO6V08EYQ1DpbzFo2jp45PEDzchOiHnoVdWzSZMmAIDr169j2LBh1PETWOb8NkNx8fguAEClRl3Qfvg82No5gJImIdZD06AkTaPutU1voGnKhrTUZCydNgQXT+4FANRr2Q19Rs/R6X4bbdlHIuJfQsE0B61pXW0MnbJB03QNALDrCv+UDdoqz2uaOkHbVBCEWKrU5ET8OW0Qrp85AACo2zoU3YbNgq3UTuDICLFuBk3nEB4ebuo4LB5X0RZdC4VwFXLhW/fL/ayYPghX/t4LicQG3YZOR0PV/DZKnQuFcBVi4aPrNrmW06fgC1ehEq6CL1znXNd4uIvx6L5NYwvY6MqY/fD9bc0Rp677z659E+MtmjIQV88cgsTGFr1GzkKjtqE0fxYhxCQWT+6LGxeOwcZWiu4jfkPdViFCh0RIrmDSCdxJ9vq+zzg8f3gT/cYvQvHyNYQOhxBiRTr1D8OryPv4ceJiFC9XVehwCCFmwleUJZ2nuDhfYRQZz/KOHBdU2/SbgNcvnqBH2AoUKvktEtO/XoJ7Y1zbAgCphOcYFPpdrOI7ZgCQ8oy9kIi5961vcZLsKGZCBVMIdfwsCGMMzx/eRGCxzPn48gcWw2+br0BiQ39GQohxGGN49vAWChfPzC8BRUpi3tZLlF8IIUZTKpV4+fi26vtLweAy+HntVUgklF8IyU5mLkJLTCUtJQmrpvbG5H4N8CDivKqdvpQRQoyVmpyI38NC8HPf7/Dg5iVVO+UXQoixUpLisWh8d0wb+B0i715TtVOnj5DsZzEdv1atWiEgIAD29vbw8/NDjx498ObNG6HDyhYxr5/itx+/w/VTeyASifH+zUuhQyKEWIk3L59gfJ9GuHL6IEQiEWIovxBCTOTti0f4pX8j3PjnCCAS4X30C6FDIiRXs5jLLfXq1cP48ePh5+eHqKgojB49Gu3bt8eFCxeEDg0AEJOq3oce2cBVp3U1FVi5c+k41vzaFylJ8XD1zIvD+3ehRo2s9/NxFSrRp2jL154mcr8tjNmmsUU9uIqumKNQiDEFbPSRHYVPhC6kIvT+rYlMw30qdjz3tgCAQkutouv//IXFU/ojNTkRHnn8MHLmWgSX/hZKBjCNtUQBkYbandqqiWZoqNxpy3O/zGeaqm+ai7bqmtqqfhrKXNslJDtEnDuI9TN/QFpKIjx98mHw9A0oXOIbocMiJFezmI7fiBEjVP9fsGBBjBs3Dm3atIFcLoetra2AkZkHYwxHN/6B/aungTGGwqUqo/8v61CjRnGhQyOEWDilUok94XOxY9UsAECxclUxYno43L3yChwZISS7vUyRcLb7Oig42x34ql//vxq5UqnE/vCZOLBuDgAgqFxN9J60Fi4e3lmKuLjbaaikwoOvWEtqBvfy2i5C6bN8l2runO3b9Zx2Rd/lNaFiLURfFtPx+1JsbCw2bdqE6tWra+z0yWQyyGQy1fOEhITsCM8kbp4/jH2rfgUA1GrVCx2H0Pw2hOQklpxfrpw+oOr0fdeuL3oOmwYbW6nAURFCPrPk/HL1792qTl/D9gPRov80SGys7wI9IZbIojp+Y8eOxeLFi5GSkoKqVavi4MGDGpefOXMmpk6dmk3RmVa5Gs1QrUlXFClTFTVb9BQ6HELIVyw5v1Sp1wq1mnRCqYo1UbdFN6HDIYR8xZLzy7f1v8fNC3+hdJUGqN64M1J0nNOYEGJ+ghZ3GTduHEQikcbHgwcPVMv/9NNPuHHjBo4dOwaJRIKePXuCabjhIywsDPHx8arHq1evsuOwDHb78t9ITc68qicSiRAS9id1+gjJoSwtv9y8dBJpKUkAMvPLoMlLqdNHSA5lafkl4uJxyNJSAABisRj9J61E9cadBY6KEPI1QX/xGzVqFEJDQzUuU7hwYdX/58mTB3ny5EHRokVRokQJ+Pv749KlS6hWrRrnunZ2drCzy57hkW/SuMfIf+2Pk+rDNfLYKbF37RzsWT0LFWs3x9Dp6zGgtifn+twFVtSvpnEV1uAqAsNlUmNnnZbji4drP8ly9Rh9HLjH93PFztVmTIGUAbXddFrOXHQ9HpJzZWd+MYZSqcSOlTOxZ+3vqFq/NYZNWwORiK7AE5KTWUx+USiwfeV07F8/D1UadkC/iSsovxCSgwna8fP29oa3t7dB6yqVmZ2GL8fAW6LUpHgsmDIA//5zBADgkccPTKn/Dc+EEPK15MR4LJ7SHzcuHAcAeOTxhVKhoPn5CCEqHrbc3znux3Pfl+chzVw+JSEWW2f2waNrJwEATh55kZzOIJZkHUzGV8SFr1ALAEg1VCvmXF7P8WsSnurBul3Cz0rfAitUkIUIySL+9b98+TKuXr2KmjVrwsPDA5GRkZg4cSKKFCnC+2ufJXj38hHCJ3fF+1ePYSu1Q+joP1C7eVehwyKE5DAyDdeC+KZ6eP30PuaFdce7109hK7VHv3HzUbNJJwCA8v/feYS6MC8R8X+p0zZdg1GzOZhpKohdV/ir9LWrrPlLnqZ1tdG2bXMx5niJdYh+egcbpnRFbPRz2No5oN3IxajRqL3QYRFCtLCIjp+joyN2796NyZMnIzk5GX5+fmjSpAkmTJhgEUMhuNw+fxBbZg+E7P/z2wybsRGFS1QQOixCiBW4cmo/lk//EbLUZOTx9ceImRtQqFg5ocMihFiBm6d3YefvgyBPS4GHb0H0mLIZ+YqUgdmurBBCTMYiOn5lypTB33//LXQYJpOeloI9i36CLCURRcrWxIgZa+DmYdiQV0II+VJaShLWzRsDWWoySlWsjSG/roGru5fQYRFCrIAsJQEHloyBPC0Fwd/UQ+ef18DJlfILIZbCIjp+liCfPfdEp18b2cAVgCvqHtiFHTt2YNasWUZPQK9roRInjklXdS2GwsfY9U3NmIIvplg/p+0nt8rN59fe0RlDfw3H9XOH0eWHyXQ/HyFEo09y7hvkKnrI1RtdHNF3SjjuXT6Bln0m/D+/ZI5Fd+SZ2J1vOgc7Dffx8d3/p++9f3yTrhuCb+J1c9+zp2nCd333re8xmHLfJGegbwTZ5O7du3jy5Alat24NAKhatSqqVq0qcFSEEGvw8skdfHz3GhVqNAEAFCtXDcXKVYOYiusRQoz04tFNxH98h7LVvgMAFC1fE0XL1xQ4KkKIIQSdxy+32LlzJ6pUqYIuXbrg5s2bQodDCLEiF0/swtQBjbF4cl+8enpP6HAIIVbk0rHtmPljYyyb0htvnj8UOhxCiJHoFz8zUigUmDBhAmbNmgUAqF+/PvLnzy9wVIQQa6DIyMC+lVNxYtsiAEDpb+vB3ctX4KgIIdZAkSHH1kVhOL5jKQCgTJVGcPPKK3BUhBBjUcfPTFISYtGsWQccO3YMQOZk9bNmzYIN3W9DCNHTlsWTsjyXy1Lx4PJRxMW8AgDU7TQCjXtNQoJEgoQU3bf7eT4uLtqGidppmPCK486gLCRGDEHVdIePpmkiAM3HpCkkbXcVaZqCYqeGe2QA46bUEGoqCG1TbhDLlhIXg2NzQvDmzlkAQPMeo9GmdxjEEkNmuSOE5CTUCzGRN2n/JcT3z+5g37TOiH/3HFI7B/QNW4jyjdpj65UkJHPc5PwuVT2ZOttwfyFLylD/k/Xbq/5Nz99Bff3CLurb4yqCEZOq+whgJ1vDvwHoWpQG4I7TGPpsb/nZeLU2rkI5XLj+3pnU27n2w3WOLKWAjZCs7Xi+lPQpBvcuHoIsJRFiiS06h61EuTrfCx0WIcRC3d4Qpvr/xNh3uH/xEGSpSZDYO6PMjyuhqNIGu2L+Wz6e53pRZSfuF/LwTOCexPvvI+DNs05eB+5Cem9SuDula86p/7sKAA46/hv+pS7V9C+AwkXfQirZUUSF7zuRRMOVKVMdN8le1PEzg0f/7Eb8u+fwzlcQw2ZsQMHgMkKHRAixEu9fP4YsJRH2Tm4oWb0FdfoIISbz/tUjyFKT4ODsjopT/4ZzgRJCh0QIMSHq+JlBta4/A2IxevboBxc3T6HDIYRYkcBS1SASS5A/uDxspfZCh0MIsSKBZapDLLFBgWLfUKePECtEVT1N4MOHDzi9chwy5DIAgFgiQY1uE6jTRwgx2vv37/H05jkolZlDnERiMQJLVaVOHyHEaO/evcuSX8RiCQJLV4ONrZ3AkRFCzIE6fka6ceMGKlWqhOv7FuPM6vFCh0MIsSLXr19HxYoVEfX4Bp7fPi90OIQQK3LlyhVVfnlx55LQ4RBCsoGIsdxTnyshIQFubm6Ij4+Hq6ur0dvbtGkT+vbti7S0NBQpUgR79+5F6dKlTRApIcTSmDq/rFu3DgMGDIBMJkPRokWxZ88elCxZ0gSREkIsjanzy+rVq/Hjjz8iPT0dxYsXx969e1GsWDETREoIycnoFz8DyOVyjBgxAt27d0daWhqaNm2Kq1evUqePEGI0uVyOIUOGIDQ0FDKZDC1btsSVK1eo00cIMVp6ejp++OEH9O3bF+np6WjTpg0uX75MnT5Ccgnq+OkpJiYG3333HebPnw8AmDBhAg4cOAAPDypTSwgxzrt379CgQQMsXrwYADBlyhTs3bsXbm66T31CCCFcoqOjUa9ePSxbtgwikQjTpk3Drl27TPILIiHEMlBVTz0lJCQgIiICzs7OWL9+Pdq2bSt0SIQQKxEfH4+bN2/C1dUVGzZsQKtWrYQOiRBiJeLi4nDr1i24ublh8+bNaNasmdAhEUKyGXX89BQUFIRdu3bB19eXhl4RQkyqaNGi2LVrF/z9/WnoFSHEpEqUKIFdu3ahUKFCCA4OFjocQogAaKinFnK5HEOHDsXRo0dVbfXr16dOHyHEaOnp6Rg0aBBOnDihamvYsCF1+gghRpPJZBg4cCBOnz6tavvuu++o00dILkZVPTV49+4dOnTogHPnzsHT0xPPnj2jsfCEEE765pfo6Gi0b98eFy5cgLe3NyIjI+Hi4pINkRJCLI2++SUqKgrt2rXD5cuX4evri8jISDg6OmZDpISQnIx+8eNx+fJlVKxYEefOnYOrqyvWrl1LnT5CiElcuHABFStWxIULF+Dm5oa1a9dSp48QYhLnzp1DxYoVcfnyZXh4eGDt2rXU6SOEAKCOH6fVq1ejdu3aiIqKQokSJXDlyhW0bNlS6LAIIRaOMYbly5ejbt26iI6ORqlSpXDt2jUqskAIMRpjDEuWLEH9+vXx7t07lC1bFteuXUPjxo2FDo0QkkNQx+8LCoUiy/w2bdu2pfltCCEmkZGRgf79+2PgwIGQy+Vo3749Ll26hKCgIKFDI4RYOLlcjt69e2Pw4MHIyMhA586dceHCBRQuXFjo0AghOQh1/L4gFoshl8shEokwffp07Ny5k4ZfEUJMQiKRID09HWKxGLNmzcL27dvh7OwsdFiEECtgY2Ojyi9z587F5s2b4eTkJHRYhJAchoq7IHN4hEgkAgCkpaXh8uXLqFOnjlBhEkIskC75JTU1FVevXkXt2rWFCpMQYoF0yS8pKSn4999/UbNmTaHCJITkcLn6F7/P99u0adMGCoUCAGBvb0+dPkKI0T7fb9OuXTsolUoAgIODA3X6CCFGY4xhwYIF6NSpkyq/ODo6UqePEKKRxXX8ZDIZypcvD5FIhIiICIO3k5aWhn79+mHgwIHYv38/tm7darogCSG5WmpqKnr16oXBgwdjz5492Llzp9AhEUKsREpKCnr27Inhw4djx44d2Ldvn9AhEUIshMV1/MaMGYN8+fIZtY2oqCjUqVMHq1evhkgkwqxZs9C1a1cTRUgIyc1evXqFWrVqYd26dar7bTp06CB0WIQQK/DixQvUrFkTGzduhEQiwfz589GmTRuhwyKEWAgboQPQx5EjR3Ds2DHs2rULR44cMXg7tWvXxocPH+Dh4YEtW7ZQqWNCiMnUrl0bsbGx8PLywtatW9GwYUOhQyKEWIk6derg06dP8Pb2xvbt21G3bl2hQyKEWBCL6fi9e/cO/fr1w969e42eiPTDhw8oW7Ys9uzZQ6WOCSEmFRsbi/Lly2PPnj0IDAwUOhxCiBX59OkTKlasiN27dyMgIEDocAghFsYiOn6MMYSGhmLgwIGoVKkSnj9/rtN6MpkMMplM9Tw+Ph4A0KpVKyxbtgxOTk5ISEgwR8iEEAvh4uKiqoqnD7780rZtW/z5559wdHSk/EJILmfq/NK+fXssXrwYDg4OlF8IyeUMyi9MQGPHjmUAND7u37/PFixYwGrUqMEyMjIYY4w9e/aMAWA3btzQuP3Jkydr3T496EGP3P2IiYkxKH9RfqEHPeih7UH5hR70oIe5HobkF0Hn8Xv//j0+fvyocZnChQujY8eOOHDgQJZerUKhgEQiQbdu3bBu3TrOdb++YhYXF4eCBQvi5cuXcHNzM81BmElCQgL8/f3x6tWrLHP25FSWFC/Faj6WFO/nWOPi4gzKB5Rfso8lxUuxmo8lxUv5xTL+ToBlxUuxmo8lxWtMfhF0qKe3tze8vb21Lrdw4UJMmzZN9fzNmzdo3Lgxtm3bhipVqvCuZ2dnBzs7O7V2Nze3HP9H/czV1dViYgUsK16K1XwsKV5DhmEBlF+EYEnxUqzmY0nxUn6xjFgBy4qXYjUfS4rXkPxiEff4fX0Ds7OzMwCgSJEiKFCggBAhEUIIIYQQQojFsLh5/AghhBBCCCGE6McifvH7WmBgIAy5NdHOzg6TJ0/mHD6R01hSrIBlxUuxmo8lxWvqWHPzsZubJcVLsZqPJcVL+cUyYgUsK16K1XwsKV5jYhW0uAshhBBCCCGEEPOjoZ6EEEIIIYQQYuWo40cIIYQQQgghVo46foQQQgghhBBi5XJ9x08mk6F8+fIQiUSIiIgQOhxerVq1QkBAAOzt7eHn54cePXrgzZs3Qoel5vnz5+jTpw8KFSoEBwcHFClSBJMnT0Z6errQoXGaPn06qlevDkdHR7i7uwsdjpolS5YgMDAQ9vb2qFKlCq5cuSJ0SJzOnj2Lli1bIl++fBCJRNi7d6/QIfGaOXMmvv32W7i4uMDHxwdt2rTBw4cPzbIvyi+mRfnFtCi/mB7lF3WUX8yD8otp5Lb8kus7fmPGjEG+fPmEDkOrevXqYfv27Xj48CF27dqFyMhItG/fXuiw1Dx48ABKpRLLly/H3bt3MW/ePCxbtgzjx48XOjRO6enp6NChA3744QehQ1Gzbds2jBw5EpMnT8a///6LcuXKoXHjxoiJiRE6NDXJyckoV64clixZInQoWp05cwaDBg3CpUuXcPz4ccjlcnz33XdITk42+b4ov5gW5RfTofxiHpRf1FF+MQ/KL6aR6/ILy8UOHz7Mihcvzu7evcsAsBs3bggdks727dvHRCIRS09PFzoUrX777TdWqFAhocPQKDw8nLm5uQkdRhaVK1dmgwYNUj1XKBQsX758bObMmQJGpR0AtmfPHqHD0FlMTAwDwM6cOWPS7VJ+yR6UXwxD+SV7UH5RR/nFtCi/mE5uyC+59he/d+/eoV+/ftiwYQMcHR2FDkcvsbGx2LRpE6pXrw5bW1uhw9EqPj4enp6eQodhUdLT03H9+nU0bNhQ1SYWi9GwYUNcvHhRwMisT3x8PACY9D1K+SX7UH7RH+WX7EP5JSvKL9aP8kv2MSS/5MqOH2MMoaGhGDhwICpVqiR0ODobO3YsnJyc4OXlhZcvX2Lfvn1Ch6TVkydPsGjRIgwYMEDoUCzKhw8foFAokDdv3iztefPmxdu3bwWKyvoolUoMHz4cNWrUQOnSpU2yTcov2Yfyi2Eov2QPyi//ofySe1B+yR6G5her6viNGzcOIpFI4+PBgwdYtGgREhMTERYWZhHxfvbTTz/hxo0bOHbsGCQSCXr27AnGWI6MFQCioqLQpEkTdOjQAf369cuWOA2NleROgwYNwp07d7B161aty1J+yTmxApRfSM5H+YXyS3bESnInffLLl0Qsuz552eD9+/f4+PGjxmUKFy6Mjh074sCBAxCJRKp2hUIBiUSCbt26Yd26deYOFYDu8UqlUrX2169fw9/fHxcuXEC1atXMFaKKvrG+efMGdevWRdWqVbF27VqIxdl3jcGQ87p27VoMHz4ccXFxZo5ON+np6XB0dMTOnTvRpk0bVXtISAji4uJy9NVSkUiEPXv2ZIk7Jxo8eDD27duHs2fPolChQlqXp/xiPpRfshflF/Oj/EL5xRCUX4RlrfnlSzZmikkQ3t7e8Pb21rrcwoULMW3aNNXzN2/eoHHjxti2bRuqVKlizhCz0DVeLkqlEkBmOefsoE+sUVFRqFevHipWrIjw8PBsTZqAcec1p5BKpahYsSJOnjypSkBKpRInT57E4MGDhQ3OwjHGMGTIEOzZswenT5/WOWlSfjEfyi/Zi/KL+VB+0Y7yCz/KL0QTQ/PLl6yq46ergICALM+dnZ0BAEWKFEGBAgWECEmjy5cv4+rVq6hZsyY8PDwQGRmJiRMnokiRItlytUwfUVFRqFu3LgoWLIi5c+fi/fv3qtd8fX0FjIzby5cvERsbi5cvX0KhUKjmQgoKClK9L4QycuRIhISEoFKlSqhcuTLmz5+P5ORk9OrVS9C4uCQlJeHJkyeq58+ePUNERAQ8PT3VPm9CGzRoEDZv3ox9+/bBxcVFdc+Bm5sbHBwcjN4+5RfzofxiOpRfzIPyS1aUX8yH8otp5Lr8YurSopbo2bNnOboc8q1bt1i9evWYp6cns7OzY4GBgWzgwIHs9evXQoemJjw8nAHgfOREISEhnLGeOnVK6NAYY4wtWrSIBQQEMKlUyipXrswuXbokdEicTp06xXkeQ0JChA5NDd/7Mzw83Cz7o/xiOpRfTIvyi+lRfsmK8ov5UH4xjdyWX6zqHj9CCCGEEEIIIeqsqqonIYQQQgghhBB11PEjhBBCCCGEECtHHT9CCCGEEEIIsXLU8SOEEEIIIYQQK0cdP0IIIYQQQgixctTxI4QQQgghhBArRx0/QgghhBBCCLFy1PEjhBBCCCGEECtHHT+iwhhD//794enpCZFIhIiICKFDIoRYCcovhBBzofxCiG6o40dUjh49irVr1+LgwYOIjo5G6dKlhQ6J6CA6Ohpdu3ZF0aJFIRaLMXz4cKFDIkQN5RfLRPmFWALKL5aJ8kv2o44fUYmMjISfnx+qV68OX19f2NjYCB1StlEoFFAqlTl+m1xkMhm8vb0xYcIElCtXzuz7I8QQlF8ovxBiLpRfKL8Q3VDHjwAAQkNDMWTIELx8+RIikQiBgYEIDAzE/PnzsyxXvnx5TJkyRfVcJBJh1apVaNu2LRwdHREcHIz9+/dnWefu3bto0aIFXF1d4eLiglq1aiEyMlJrTKdPn0blypXh5OQEd3d31KhRAy9evFC9fuDAAXz77bewt7dHnjx50LZtW9Vrnz59Qs+ePeHh4QFHR0c0bdoUjx8/Vr2+du1auLu7Y//+/ShZsiTs7Ozw8uVLyGQyjB49Gvnz54eTkxOqVKmC06dP63QODd3m5/X27t2L4OBg2Nvbo3Hjxnj16pVO+w0MDMSCBQvQs2dPuLm56bQOIdmJ8gvlF0LMhfIL5ReiO+r4EQDAggUL8Msvv6BAgQKIjo7G1atXdV536tSp6NixI27duoVmzZqhW7duiI2NBQBERUWhdu3asLOzw99//43r16+jd+/eyMjI0LjNjIwMtGnTBnXq1MGtW7dw8eJF9O/fHyKRCABw6NAhtG3bFs2aNcONGzdw8uRJVK5cWbV+aGgorl27hv379+PixYtgjKFZs2aQy+WqZVJSUjB79mysWrUKd+/ehY+PDwYPHoyLFy9i69atuHXrFjp06IAmTZpkSbqaGLrNlJQUTJ8+HevXr8f58+cRFxeHzp076/w3ICQno/xC+YUQc6H8QvmF6IER8n/z5s1jBQsWVD0vWLAgmzdvXpZlypUrxyZPnqx6DoBNmDBB9TwpKYkBYEeOHGGMMRYWFsYKFSrE0tPT9Yrl48ePDAA7ffo05+vVqlVj3bp143zt0aNHDAA7f/68qu3Dhw/MwcGBbd++nTHGWHh4OAPAIiIiVMu8ePGCSSQSFhUVlWV7DRo0YGFhYVpjNnSbn9e7dOmS6vX79+8zAOzy5cta9/ulOnXqsGHDhum1DiHZgfIL5RdCzIXyC+UXopvcMwiamE3ZsmVV/+/k5ARXV1fExMQAACIiIlCrVi3Y2trqtU1PT0+EhoaicePGaNSoERo2bIiOHTvCz89Ptd1+/fpxrnv//n3Y2NigSpUqqjYvLy8UK1YM9+/fV7VJpdIssd++fRsKhQJFixbNsj2ZTAYvLy+d4jZ0mzY2Nvj2229Vz4sXLw53d3fcv38/y5VAQnIbyi//ofxCiGlRfvkP5ZfcgTp+hJdYLAZjLEvbl0MNPvs6KYpEItVNwQ4ODgbvPzw8HEOHDsXRo0exbds2TJgwAcePH0fVqlWN2u5nDg4OqqEXAJCUlASJRILr169DIpFkWdbZ2VmwbRJijSi//IfyCyGmRfnlP5RfyJfoHj/Cy9vbG9HR0arnCQkJePbsmV7bKFu2LM6dO8eZcHVRoUIFhIWF4cKFCyhdujQ2b96s2u7Jkyc51ylRogQyMjJw+fJlVdvHjx/x8OFDlCxZUuO+FAoFYmJiEBQUlOXh6+trcPy6bDMjIwPXrl1TPX/48CHi4uJQokQJg/ZLSE5H+YXyCyHmQvmF8gvhRh0/wqt+/frYsGEDzp07h9u3byMkJETtqo82gwcPRkJCAjp37oxr167h8ePH2LBhAx4+fKhxvWfPniEsLAwXL17EixcvcOzYMTx+/FiVSCZPnowtW7Zg8uTJuH//Pm7fvo3Zs2cDAIKDg9G6dWv069cP//zzD27evInu3bsjf/78aN26Ne8+ixYtim7duqFnz57YvXs3nj17hitXrmDmzJk4dOiQXset7zZtbW0xZMgQXL58GdevX0doaCiqVq2q8zCJiIgIREREICkpCe/fv0dERATu3btnUMyEZAfKL5RfCDEXyi+UXwgPge8xJDnI1zdHx8fHs06dOjFXV1fm7+/P1q5dy3lz9J49e7Jsx83NjYWHh6ue37x5k3333XfM0dGRubi4sFq1arHIyEiNsbx9+5a1adOG+fn5MalUygoWLMgmTZrEFAqFapldu3ax8uXLM6lUyvLkycO+//571WuxsbGsR48ezM3NjTk4OLDGjRuzR48eqV4PDw9nbm5uavtNT09nkyZNYoGBgczW1pb5+fmxtm3bslu3bmk+eUZs8/N6u3btYoULF2Z2dnasYcOG7MWLF1r3+RkAtceXf0tChEb5hfILIeZC+YXyC9GNiLGvBkETQrLV2rVrMXz4cMTFxQkdCiHEylB+IYSYC+UXy0NDPQkhhBBCCCHEylHHjwjG2dmZ93Hu3Dmhw1PTtGlT3nhnzJhhtv2WKlWKd7+bNm0y234JsWSUX3RD+YUQ/VF+0Q3ll5yHhnoSwTx58oT3tfz585uk5LEpRUVFITU1lfM1T09PeHp6mmW/L1684K0qljdvXri4uJhlv4RYMsovuqH8Qoj+KL/ohvJLzkMdP0IIIYQQQgixcjTUkxBCCCGEEEKsHHX8CCGEEEIIIcTKUcePEEIIIYQQQqwcdfwIIYQQQgghxMpRx4/8r/06kAEAAAAY5G99j68sAgAA5sQPAABgTvwAAADmxA8AAGAuoMUdC/xKXPcAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 900x300 with 3 Axes>"
       ]
@@ -631,9 +643,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/wsdewitt/miniconda3/envs/multidms/lib/python3.12/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
       "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
-      "/Users/wsdewitt/miniconda3/envs/multidms/lib/python3.12/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
       "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
      ]
     },
@@ -894,6 +906,15 @@
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "func_scores_collapsed_df[\"func_score\"] = func_scores_collapsed_df.func_score.clip(-3.5, 2.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1002,7 +1023,7 @@
        "      <td>2</td>\n",
        "      <td>5</td>\n",
        "      <td>1</td>\n",
-       "      <td>-6.693818</td>\n",
+       "      <td>-3.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>335514</th>\n",
@@ -1013,7 +1034,7 @@
        "      <td>2</td>\n",
        "      <td>3</td>\n",
        "      <td>1</td>\n",
-       "      <td>-6.537503</td>\n",
+       "      <td>-3.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>335517</th>\n",
@@ -1024,7 +1045,7 @@
        "      <td>2</td>\n",
        "      <td>9</td>\n",
        "      <td>2</td>\n",
-       "      <td>-3.922613</td>\n",
+       "      <td>-3.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>335519</th>\n",
@@ -1046,7 +1067,7 @@
        "      <td>2</td>\n",
        "      <td>2</td>\n",
        "      <td>2</td>\n",
-       "      <td>-3.991597</td>\n",
+       "      <td>-3.500000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1087,16 +1108,16 @@
        "3               2       0     22495    0.000000  \n",
        "4               1       0     21020    0.000000  \n",
        "...           ...     ...       ...         ...  \n",
-       "335513          2       5         1   -6.693818  \n",
-       "335514          2       3         1   -6.537503  \n",
-       "335517          2       9         2   -3.922613  \n",
+       "335513          2       5         1   -3.500000  \n",
+       "335514          2       3         1   -3.500000  \n",
+       "335517          2       9         2   -3.500000  \n",
        "335519          2       9         2   -3.160077  \n",
-       "335521          2       2         2   -3.991597  \n",
+       "335521          2       2         2   -3.500000  \n",
        "\n",
        "[295757 rows x 8 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1114,12 +1135,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  data_subset = grouped_data.get_group(pd_key)\n"
+     ]
+    },
     {
      "data": {
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z58/j6NGjSE1NRbNmzThrchBCCCGEEEKILbOZO2h8b9++hY+PD06dOoVPP/1U6nAIIYQQQgghJMtsdqHqmJgYADC4MF1ycjKSk5O1jxljSElJQf78+fUWwiOEED7qQwgh5qL+gxBiLptJcdSl0WgwatQo1K1bF+XLl890v7lz58LDw0P75enpCR8fH3z8+DEboyXEuraei870K6+6dOkSAgICUK5cuSy1Q30IIXkPYwzLly+HnV3WrmFT/0FI3hQXF4dOnTpBoVCY3YZNDtCGDh2KW7duYfv27Qb3mzhxImJiYrRfz58/z3Tfvn37QiaTQSaTwcHBAcHBwZgxYwZUKpWlw89ToqKi0LNnT7i7u8PT0xMDBgxAXFycwWMaNmyo/Vmkfw0ZMoSzz7Nnz9C6dWs4OzvDx8cH3377Lf2sCABgy5YtqF+/Pl69epXltqgPkZ45fUhkZCR69+4NX19fuLi44JNPPsGePXu02588eYIBAwagaNGicHJyQvHixTFt2jSkpKRY++WQHC45ORkDBw7EyJEjoVars9QW9R/SM7X/ePLkid7nj/SvXbt2afc7fvw46tSpAzc3N/j6+mL8+PH0syIAgMePH6NOnTrYt29fli7y2FyK47Bhw3Dw4EH8/fffKFSokMF9lUollEql6LZbtGiB0NBQJCcn4/Dhwxg6dCjs7e0xceLErIYtKCUlBQ4ODlZp2xSMMajV6ixfLRTSs2dPREREaAu79OvXD4MGDcLWrVsNHjdw4EDMmDFD+9jZ2Vn7vVqtRuvWreHr64uzZ88iIiICISEhsLe3x5w5cyz+GohtUKvV+O6777BgwQIAQNu2bbFly5YstUl9iDg5rQ8JCQlBdHQ0Dhw4gPz582Pr1q3o2rUrLl++jCpVquDu3bvQaDRYu3YtgoODcevWLQwcOBDx8fFYtGiRxV8DsQ2vX79G586dcebMGcjlcm1fYi7qP8TJSf1HYGAgIiIiOM/99NNPWLhwIVq2bAkAuH79Olq1aoVJkyZh06ZNePnyJYYMGQK1Wk39hxl2XvjAedy1ppfo/Y3tm91OnjyJzz//HO/fv4evry/27dtnfmPMRmg0GjZ06FDm7+/P7t+/b1YbMTExDACLiYnR29anTx/Wvn17znNNmzZltWrVYowxlpSUxMaMGcP8/f2Zs7Mzq1GjBjtx4oR233fv3rFu3boxf39/5uTkxMqXL8+2bt3Kaa9BgwZs6NChbOTIkSxfvnysYcOGTKPRsGnTprHAwEDm4ODA/Pz82PDhw7XHREVFsd69ezNPT0/m5OTEWrRowXn9oaGhzMPDg/3++++sdOnSzMXFhTVv3py9evUq0/fhxIkTDAA7fPgw++STT5i9vT3ntVjKnTt3GAB26dIl7XNHjhxhMpmMvXz5MtPjGjRowEaOHJnp9sOHDzO5XM4iIyO1z61evZq5u7uz5ORki8QuhV/PfuB8WaIdU85niXNLRaVSsdatWzMADACbNGkSU6vVFj8P9SFpcnof4uLiwjZt2sR5ztvbm61bty7TYxYsWMCKFi2a9aBzqJ3nozhftoQfu9j4TTnuwYMHLDAwkAFgHh4e7MiRI5YKX4v6jzQ5vf/gq1y5Muvfv7/28cSJE1m1atU4+xw4cIA5Ojqy2NjYrAeex+w4H8X5MmX/nGTLli3Mzs6OAWBVq1Zlz58/z1J7NpPiOHToUGzZsgVbt26Fm5sbIiMjERkZicTERKud08nJSZvyMmzYMJw7dw7bt2/HjRs30KVLF7Ro0QIPHjwAACQlJaFq1ao4dOgQbt26hUGDBqF37964ePEip82NGzfCwcEBZ86cwZo1a7Bnzx4sWbIEa9euxYMHDxAWFoYKFSpo9+/bty8uX76MAwcO4Ny5c2CMoVWrVpxFARMSErBo0SJs3rwZf//9N549e4axY8cafX0TJkzAvHnzEB4ejooVKwruY2iFeFdXV+0VJSHnzp2Dp6cnqlWrpn2uSZMmkMvluHDhgsHYfv31V+TPnx/ly5fHxIkTkZCQwGm3QoUKKFiwoPa55s2bIzY2Frdv3zb6uknuo1AoULlyZTg6OmLbtm2YNWsW5HLpuzfqQ6TpQ+rUqYMdO3YgKioKGo0G27dvR1JSEho2bJjpMTExMQaLTpHcLSAgAAULFkTJkiVx4cIFtGjRQuqQqP+AdJ9B0l25cgXXrl3DgAEDtM8lJyfD0dGRs5+TkxOSkpJw5coVUe2S3Kd8+fJwcHBA9+7dcfr0aaNZfkZZYtSYHfDflXH+V2hoqOg2xF690mg07OjRo0ypVLKxY8eyp0+fMoVCoXfFpXHjxmzixImZnq9169ZszJgx2scNGjRgVapU4eyzePFiVrJkSZaSkqJ3/P379xkAdubMGe1z7969Y05OTmznzp2MsbSrVwDYw4cPtfv8+OOPrGDBgpnGlX71KiwsLNN90j158oQ9ePAg068XL15keuzs2bNZyZIl9Z4vUKAAW7VqVabHrV27lv3+++/sxo0bbMuWLSwgIIB17NhRu33gwIGsWbNmnGPi4+O1V+RsFd1BM51KpdJ+r1ar2d27d616PupD0uT0PuTDhw+sWbNmDACzs7Nj7u7u7I8//sh0/wcPHjB3d3f2008/GX09toruoOkfp1arOXfaX716xT58+GDJ0Dmo/0iT0/sPXV999RUrU6YM57k//viDyeVytnXrVqZSqdiLFy9Y/fr1GQC9u5Z5kal3xGyZ7mcQxhgLDw9nGo3GIm3bzBw0lg3LtR08eBCurq5ITU2FRqNBjx49MH36dJw8eRJqtRolS5bk7J+cnIx8+fIBSJv/MmfOHOzcuRMvX75ESkoKkpOTOXOnAKBq1aqcx126dMHSpUtRrFgxtGjRAq1atULbtm1hZ2eH8PBw2NnZoWbNmtr98+XLh1KlSiE8PFz7nLOzM4oXL6597Ofnhzdv3hh9vbpXlTITFBRkdB9LGzRokPb7ChUqwM/PD40bN8ajR484rzO36VHbM1vbsdT5+NUiLdWuIYwxLFu2DDt37sTx48fh5OQEuVyOUqVKWf3chlAfok+KPmTKlCmIjo7GsWPHkD9/foSFhaFr1644ffo05+4AALx8+RItWrRAly5dMHDgwGyPlUjj48ePCAkJQYUKFbTznf38/CSNifoPfVL0H+kSExOxdetWTJkyhfN8s2bNsHDhQgwZMgS9e/eGUqnElClTcPr06RyRuUGyx82bN9G1a1esX78ederUAQCULl3aYu3bzAAtOzRq1AirV6+Gg4MD/P39tRNW4+LioFAocOXKFb2Sma6urgCAhQsXYtmyZVi6dCkqVKgAFxcXjBo1Sq8qmIuLC+dxYGAg7t27h2PHjuHo0aP4+uuvsXDhQpw6dUp03Pb29pzHMplM1ICWH4uQcuXK4enTp5lur1+/Po4cOSK4zdfXV6+TVqlUiIqKgq+vr9Fzp0v/5/Dw4UMUL14cvr6+emkbr1+/1p6T5G7Jycn46quvEBoaCgDYunUrJ/1EStSH6MvuPuTRo0dYuXIlbt26pV1moVKlSjh9+jR+/PFHrFmzRrvvq1ev0KhRI9SpUwc//fST0ddiy7rwJtPv4k3MF9onpzA3rsyOe/z4Mdq1a4dbt27hyJEjGDhwIAIDA7MSokVQ/6FPys8gu3fvRkJCAkJCQvS2jR49Gt988w0iIiLg5eWFJ0+eYOLEiShWrJjRdontCwsLQ69evRAfH49x48bh9OnTFl/bkAZoOlxcXBAcHKz3fJUqVaBWq/HmzRvUr19f8NgzZ86gffv26NWrF4C0tdru37+PsmXLGj2vk5MT2rZti7Zt22Lo0KEoXbo0bt68iTJlykClUuHChQva0fn79+9x7949Ue1awuHDhzm55kKxZ6Z27dqIjo7GlStXtFft/vrrL2g0Gs4VOWOuXbsGIOPqZu3atTF79my8efMGPj4+AICjR4/C3d09294XIo3IyEh06tQJ586dg1wux+LFi9G/f3+pw9KiPkRfdvch6fNV+VeyFQoFNBqN9vHLly/RqFEjVK1aFaGhoXTlO484ceIEunTpwqmylhMGZwD1H0Kk/Ayyfv16tGvXDgUKFBDcLpPJ4O/vDwDYtm0bAgMD8cknnxhtN7czpQqjmP1zEsYYZs+erb2r2rhxY+zcudMqC8/TAE2EkiVLomfPnggJCcHixYtRpUoVvH37FsePH0fFihXRunVrlChRArt378bZs2fh5eWFH374Aa9fvzbaiW3YsAFqtRo1a9aEs7MztmzZAicnJwQFBSFfvnxo3749Bg4ciLVr18LNzQ0TJkxAQEAA2rdvny2vPSvpBWXKlEGLFi0wcOBArFmzBqmpqRg2bBi6deum7dRevnyJxo0bY9OmTahRowYePXqErVu3olWrVsiXLx9u3LiBb775Bp9++ql2EnGzZs1QtmxZ9O7dGwsWLEBkZCQmT56MoUOHmlTSOLcwtCA1P93QlH3Fyo6URiBtsnaHDh3w4sULeHp6YseOHWjWrBnnNWVXLKaiPsQ85vQhpUuXRnBwMAYPHoxFixYhX758CAsLw9GjR3Hw4EHtMQ0bNkRQUBAWLVqEt2/fas9Jd+Fzr1WrVmHEiBFQq9WoVq0awsLCEBAQIHVYRlH/YR5z+o90Dx8+xN9//43Dhw8Ltr1w4UK0aNECcrkce/fuxbx587Bz584sLUxMcrb4+Hj069dPux7eiBEjsHjxYqssDwHY6ELVUggNDUVISAjGjBmDUqVKoUOHDrh06RIKFy4MAJg8eTI++eQTNG/eHA0bNoSvry86dOhgtF1PT0+sW7cOdevWRcWKFXHs2DH89ttv2rzy0NBQVK1aFW3atEHt2rXBGMPhw4f1Ugpyql9//RWlS5dG48aN0apVK9SrV4+TSpSamop79+5pr3o7ODjg2LFjaNasGUqXLo0xY8agc+fO+O2337THKBQKHDx4EAqFArVr10avXr0QEhLCWTeN5C6HDh1C/fr18eLFC5QuXRoXL15Es2bNpA7LJNSHmMfUPsTe3h6HDx9GgQIF0LZtW1SsWBGbNm3Cxo0b0apVKwBpd9wfPnyI48ePo1ChQvDz89N+kdxp1KhRGDp0KNRqNXr06IG///7bJgZn6aj/MI+p/Ue6X375BYUKFcr0/8yRI0dQv359VKtWDYcOHcL+/ftFvd/ENkVFRaFevXrYtWsX7O3tsW7dOixbtsxqgzMAkLHsqL6RQ8TGxsLDwwMxMTFwd3eXOhxCLELqO2jZ4d9//0X16tVRq1YtbN26FR4eHtpt2XkHjfoQosuS87jMbUuKuWT8c4o9n1CsfEJtWeI1btq0CX379sW8efPw7bffWiUlyRjqPwixzRRHjUajLTS1Z88e1KtXz+rnpBRHQkiOpFartekixYoVw7lz51C8eHFKISGEiKLbh4SEhGhTYAkh1sMfgFladl6UTe9D5HI5Nm7ciKioqGybs0oDNEKykSl3sEL/F6P9vl89D8621acytnk4GG5HV7I686vGhs6X3R49eoROnTph7ty52rQ0fonpdDn5zh8hRBp79+7F5MmTceLECRQsWBCAZUtgE0JyL5VKhdGjR+PNmzfYtm0bZDIZXFxcRFUetRSag0YIyVH++usv1KhRAzdu3MCYMWOgVqulDokQYiM0Gg1mzJiBzp07Izw8HIsXL5Y6JEKIDYmKikKLFi2wYsUK7NixA2fOnJEkDrqDRgjJERhjWLVqFUaOHAm1Wo0aNWpg3759lNJIcixLzvWy5Fpf5s712nFe/zi5wE13c9dU4z8ndD6htjQCM+WF5sHFx8ejT58+2LNnDwCg1ReD8Un7bzn75tS13gjJLfhzyviZQ8bmxhvLijEla8bU+W537txBu3bt8OjRI7i4uGDz5s3ZMt9MCA3QCMlGhjoWfifVr17m+xqim6qoVHA/2RhqU/f8um2kHcdNebREOqRuG6rUFFzaNgnr1q0DAPTu3Rs//fQTHB0dzWqbEJK3PH36FO3bt8f169dhb2+PNWvWwK1cR6nDIoTYiN9++w09e/bEx48fUaRIERw4cAAVKlSQLB5KcSSESColORGLvmmPdevWQSaTYeHChdi4cSMNzgghojy+dwPVq1fH9evX4ePjgxMnTuSoBewJITnbypUr0b59e3z8+BENGjTApUuXJB2cAXQHjRAiMXsHR/gXKY3Ix7exbds2bVEQQggRw8c/CN7e3ihUqBDCwsK0a4MRQtJYu7S9bvsqDTcv2k5ueDUvfmZRVqpA8l+X2NdZqVIlKBQKDBo0CEuXLs0R6/zRAI0QIgmNWg25QgGZTIYeI+fj58WTULx4canDIoTYAI1aDZlcnlZdzc0Df/75J/Lnzw9nZ2epQyOE2ADdZTjq16+Pmzdv5qhKrzRAIzbJ1EmltsCU1+BooG6G7rwzQ5Nx+dtiUjKuenk4GL7ipTvvzNDPQmhbepW1c+fO4dChQ7CzS++GChg8JyFEHHMLYXxRS1zBkV/PRnMe96yjf9w2gSVFVBr+M/oVSBzt9PseDePu9zEmCssn90X1Bq3RossgABC8a8a/ki8WFRUhJHc7f/48QkJCsHfvXpQvXx5AzluGgwZohJBsExcXhz59+mDv3r0AgEOHDqF9+/YSR0UIsRXPH93BovE98PbVUzy5fwP1mneFq7un1GERYnGWTEs09Vhj5+Zv170YkqTiXhhx5V3wNZbCyD9e6KJNZsS8Zxs3bsSgQYOQkpKCfkPH49sFWwT3t3ZaqDFUJIQQki3eRjxD3bp1sXfvXjg4OCA0NJQGZ4QQ0a6cPoxpg5vj7aun8PEPwvTVh2hwRggRRaVSYcyYMejbty9SUlLQsWNHDJ++RuqwMkV30IhNskZKo7lpk/zjDLVhyjl+OB6r/d7JwBUkpYF0R0Ox8Uvp66Y1Jqu5V7B0YwEAL6VuPNx9uSX4PQEAp06dwsjBn+Pdu3coWLAg9u3bh8coYzDlkhBCgLQ1EvdvXIxd6+aAMYayn9THN3NC4ebhLXVohBAb8OHDB3Tv3h1//PEHAGDatGmYOnUqdl+KMXKkdGiARgixqq1bt6JPnz5QqVSoWrUqwsLCUKhQITw2MHgkJDcRWlTZXEKLO/MJzSUTQ2jemNBC1Sre9aLNZ8Qdx39OaAFq/nOMMayYPhjnj+4GADTu9CW6j5gDd0fuxxehuXJ2ZuYI0bwzQnKPly9f4rPPPsP9+/fh7OyMjRs34vPPP5c6LKNogEYIsary5ctDqVTi888/x/r166nKGiFENJlMhiKlKuPSX2HoPXohGrbv+98W8fNSCLFF2T3nydC5jc3H0s2G6V/fg7PN1DlnphAzX83HxweFChVCUlIS9u/fj8qVK4tqW8r3H6ABGiHECtJL6ANAxYoVcfnyZZQqVQoymfkdMSEk79DtQ5p/8TUq1m4K/6CSEkdFCLEFjDEwTVrZWHt7e+zcuRNqtRo+Pj4SRyYeDdBIjmWp+UmmzBEzB7+N1acycpr587zS52QJ7csvbe+l1KmKpOaeU7fMPn++mO6+iQauTOnPa8v8fNw5Z1y6Zf0B4Nmj21gxuT++nLgMqNcCgHD5WkPvfW5cRoEQIs6J37bgj13rMHX1b3B2cYdMJqPBGSFElJTkJPw07xs4u7ihW511AIB8+fJJHJXpaIBGCLGYy6cOYdWMwUhOjMe2H6dh+qDmdNeMEAsSM79MaD4WX4pa/+/STq5/IUZoLTH+hR+hQkVygRTEd0ncHZ14F3fUahUOrJ2MY7tWAwAO79mEFt1HwNVebwE1vbi6C1zEEfM+EEKyXlJed43DTbw5qSoNdzIov5/hzxXlX5A1lCLJT2l8+zoSSyb2xqM7VyBXKLB4Wz8EFiuj3c5/XeaulZgdaIBGCMkyxhjCNizG7nWzAQDlqn6K4bNCaXBGCBEl4eMHrJ/RD3cvnwAAtOs3Ac2+GCZxVIQQW/Hwzj9YNK43PryLgKu7F4bPCuUMzmwNDdBIjmVuWpu56XGWSrnTTVXk72eotD1/38lH4rTf86806z5+nsi9Kh3olJGfmMi7Sq77uLiSm8fIT2s0tE03xTIpMR4/zRmOC8f3AQCafT4IPUfMgp2dfeYNGmHKz55K9RNi2yKf3sOaSd3w9uW/cHB0xoBJa1C1QTupwyKE2IjTv+/C2jkjkJqSjICipTFm/lYULFQUtlxMiAZohBCzxX+MxuJR7fDk/g0o7OzRd8xCfNa+j9RhEUJsxIPrZ7Dmuy+QlPAR3gULY/jcXxEYXEHqsAixeYZSA42lMPIvSvNTAflt66568Sqel8rMS0NM5V045mcw81MkXyZwhypBrtwrxnvWz8fe9fMAAFXrtcCw79fA2cUdYgZnOfmiLg3QCCFmc3Jxh09AUUS9eYVRczehVKXaUodEiNWYu54Zfz+huVFi2xITg9D6YnzxAgWEUtT6C4cJzUuLSeXu58b099Ew/fblMv7cEwb/wsXg6OKGwBIVMHjGJvgXyAcxH6yE5pwRQvKeoqUqQiaToV3vb9BtyHeQy81cADGHoQEasQmmpBiam6poSrVH3X35VRR1J8zrV3Hkrg+iu123oiMABOgsF/YygXtFyt8545JTopp7+Uk3jdFbqT+5Pt2xNw6cxy46aZOlXVWZtgkADkiFQmEHQIF+E1chLjYK+QoGIlltOFVS9/Xyqz/qMuWqVk6+AkYI0adWq/7rPwCPfL4Yu+wQvHwCYGfvAFtOSSKEZA+1SgWFXVof8km9lljw63n4FykJucAFJVtFAzRCiGhqtQpH1k5EYvQb9J6cVgRE6eQCpZOL1KERQmxA9NtXCJ3WE592/hqfNv8cAFAgoKjEURFi+wxVYjS2WDQ/hVH/zjl3e1wK9y7V66TM71q523Pbep/M3fcdr61SbtwLxMXduY8vnT2BzT+Mw7dL9iIwMBAAULhYCQDM6OswpVolf19jbVt6YevccR+QEGJ1CbFR2PhdJ5zfvxbXT+3D41vnpA6JEGJDnoZfxpKvG+L5vX9w8KepSE1OkjokQoiNYIzh0PbVWDy2C16/eIQDGxdJHZJV0R00QohRb57exZZpXyAq4jEcHF3QY8JaFKtQR+qwCCE24sKf27B98UioUpPhW7QsBszYCnulo9RhEUJsQGpKMn5eMAYnD24FANRr1QMhoxdKHJV10QCNmMXcUvbmslT75s5dM7Qvf+6YbirAh2TD64DpztfizzOL15n3pVs6HwB2Ryi13z+L/cjZJtcpb+/C+wDkpXOKxt4pmcYVpZNycP/CYexf8CVSEj/Co2AQuk7dgSrlSiN9rsirBO6N+KJuGbHyf0/61fPMdJvYuYM054xYmtiiHWILeYhpn2/Hef195ALdB78AyGZexbO04/QP5B8ntECr0PTRRx/1Pyb48Oa2Xo3W38fjv7QmjVqNvzdMwZV9ywEA5eu2Rq+Ja+Ho7IYUgROqBOamCr0e/vslVJSke23LphwRQrJf9PvXWDwhBPdvXoJMLkf3YbPQrMuQ/9ZZzT1zzvhogEYIydSl39bizzXfAoyhcIV66PzdZjh75IfwRzlCCMmgUauwb0YXPLlyFADQrNe3aNE391RZI3mPKXOYrE3/ImfmsSTxqrbyS9nb8f4k3/LWV/XiXZRxdeA+fsG7wKzrZozhoUaQM/fzRGxqRqxvnj/E6m/bIfrtSzi5eiBkSihq1P4MagaAAV1renKONVTsDTD+8zI0Vy+7Lw7TAI0QkinfYhUgV9ihcvM+aDZ4ARRZWHyaEJK3yBV2KFi8El7c+h9ajFqDJs07SB0SIcSGePoEwNWrQNoC9jO3wycwGLn5rpkuGqCRHMNaaZNi0+NMKcGvW1rfwyHzzsJLyX3MbycqOeOqUwDvKtLPLzL+PEuncAdGVXTK4Ac4cCsonn2dkXIZm5zI2RaTHK/9fre6EGdbzf8Wf9SoVUj8r36QskQ9dF56ASWLleDsm6hzNY5fgl/3veGX0tcts6+b7siX3Sm0hBDL0ahVgH1a31a311SUbdwT3gElQHfeCSHGaDRpd+fkcjkclE74ctYOOCid4OTqYeTI3IUGaIQQrVd3L+DPHwah8fit8C5SHgDgWagUgMzXUyNECllZ7NlSx1nSF7X0YxB6jULz0vhSBOaXvTFQBjvd/z7o3yH/9/07/RgcuHNb3ZxdAaRVWYs4tAxRl/aj3tQjUDg4AlAAXqXxNgGISeXGVdUrVa9tldAC10JXzI2WBRdm7mLjhAD6KXJSpjzyL1waSs+z43UcKt6/9A+80vdu9hqD22N5f8sfdB7/7yM33bEQr1t59DGB8zjAJWPRV1VCLO6v6od8xSqjardJAIBinn4AgMT/ru842WX8rf9ymlsDwNHEUU1OSlnlo0RwQggA4M7xX7FnYktERzzC5a0zpA6HEGJDNClJeLRmEJ7+OhEf75/HqzM7pQ6JEGJDEiL/xfkpjfDs0mHc2PcD4t+9lDokSdEdNELyOKZW4enWSYg4nFZlrXitNqg38meJoyKE2IqUDxG4t6Qb4h5cBOQKFOk9H4Ua9pY6LEKIjXh/6ySuLemJ1LgoOHv5osmEHXDJHyB1WJKiARoxizXmBPHbtFRpdUNzyXS3mVKCX3cuVTJvDla/ehl50vzz3eGVo/5Lp7qRF68IUlXXjBSDK3HcdINrLyMzHqi45fIVOvPMAotX4Gx79vSN9vuiDgwpcR9wZkkfRFw7BgAo0HYMHNt+i1QHd6TqTBd5zKvo5K1Twamsp4qzTff9MPS+6X4P6M9XI4TkfAmPr+L+qr5IiXoFhYsXSo7cAs8Kn0GgMj7J4XJyupeunBRnVs6d1dehX7GQ+0dn6LOPMa95//PfpXAT7m7EcbdHJCZrv3e4e4yz7aF3Yc5jhU8x7feMMdw5vBrPNn8LaNRwLlYVxb7ZgRdefnjx30eZkq6Zx8lPteRz5dUIMPae62439edh6d9LGqARkkclRL3C8Wkt8fHVAygcnODffwU8qrWTOixCRLH23CFz57j9ejZa77medbjHiVkXDdBfuwzQX78sJkV/poLQPLUEXpntA2/1G1e/vKn3nHNspN5zqS750s599394un0KmCoFSr+SCBqxGXYFiyMuMR7Ozi56xwU5cy80xav0Y3exE1dIhD/nTMzcPIDmnBGSk7z6dTzeHfsJAOBdrzuKfPkjYKc0clTeQAM0QvIoRw8fuOQPhDolEZ+O34kXXsFSh0QIsSGOBYpAbu8I57INEDj4Jyic3KQOiRBiQ5yKVAZkchTqNhMF23wDmUymreKY15k8QLt+/Tp+++03eHt7o2vXrsifP792W2xsLEaNGoVffvnFokGSvMmUtEax6ZCmpFHyU/B06abj8Y9bfSrjuJcJ3D8xb97ijkV1br+XdeWmCm69/Vz7vZ23PzcARUZZJPvY15xN7tcyJue/VHflxh33HmAayOQK3FC6wKP7fLhr1HimzAck6LxeL25OAT82L2VG3DEp3EvX9z9mvGZ+WoVuaX1TljUQi8rzE2JdTJNxh0uZrxBKDF4Lu/KfQSbPfKFaYhtyakojn63ECRhOe8tyChzvLrIp7b3kLSztbs9ty57XtievquOzaO7nI/u3j7Xfy9TJnG1uL29wHqe+e6ztL3zz+8Nh6jEofYORGJtWMbahfz7O/vz0ygCXjD7InnfnnL+ANv894X9GWPs393UM/jTz99BYCqOlfy9NquL4559/okaNGti+fTvmz5+P0qVL48SJE9rtiYmJ2Lhxo0UD5Pvxxx9RpEgRODo6ombNmrh48aJVz0dIbqFJTcaTg0vx7Og67XMKF0/YueUzcBQhhKRJinqFO7+MQuz9c9rnlPkL0+CMECLK+weXcGv9SKTGR2ufU/pS9o4Qk+6gTZ8+HWPHjsXs2bPBGMPChQvRrl077Nq1Cy1atLBWjFo7duzA6NGjsWbNGtSsWRNLly5F8+bNce/ePfj4+Fj9/ITYqtTYd3iydSISXoQDMjl8PmkJ+JWROiySy1lzzSlLroMmRExbQjHw55sJ7Zei1p8wtflMtN5zcoFKG0Lz0vheC6x5dvgD9999apL++byv7dBvTJ22VtmH189w9/wRqFKT8erISrgVq6odmKmT4vUOq1rQUe85Fzvu1W3+VXtAeMVFR4ECQvw5Z2LeF0KINBjT4MX5/XhxcT8AIPLSAQQ2DJE4qpzNpAHa7du3sXnzZgCATCbDuHHjUKhQIXz++efYvn07qlevbpUg0/3www8YOHAg+vXrBwBYs2YNDh06hF9++QUTJkyw6rmNyeupVZaquGgNhmIzN1bd4/ipkF81EF/FsahTxq36O3HcbXL3AtrvVbG8xWJ1Kjc6v33A2ZRc7FPt9/bxUYh/9QAP98xGalwUFE5uCOo2E3ZFqgC81EhWqJz2+8e8tMXoGO5Kk40V3MqRuqrny1h8lp/+qPteKQ1cdDe3omdO+90jxNYxxvDq4XX8e+M0wBjcvAsisO8PdNeMECKKOiUJD/9ch6hHVwAABau3Q6FPe0ocVc5n0gBNqVQiOjqa81yPHj0gl8vxxRdfYPHixZaMjSMlJQVXrlzBxIkTtc/J5XI0adIE586dEzwmOTkZyckZubCxsbFWi4+QnOj9rZN4cngFmDoVjvkDUaT3Iijz5e21RUxBfQjJyzRqFR5eOY7XT+4AAHyCSqPEJ58hzi2/kSMJQP1HXsCfl8RnqIy7sX2zGotuxVcV79a0t5L7RCKvyuupKAfO42fJ3P0V9tw75I4fnmm/t0uM1n6fFPsO4QdXICH6LWRyBYJrtIBnw/6cY2UK7rle8eacuam5t8fL6YSSyrtzzq9yy8eft+dkwnWm7J77aNIctMqVK3PmnKXr1q0bfv75Z4wYMcJigfG9e/cOarUaBQsW5DxfsGBBREbqlwEGgLlz58LDw0P7FRgYaLX4CMlpXp7Zhce//QCmToVHcHWUCVlIgzMTUR9C8iq1KhU3T+76b3AmQ9GK9VCyWlPIFVT8WSzqP0heFvf2Ga7vno+E6Lewd3RBxSY94Vu8ktRh2QyTBmhfffUVXr58Kbite/fu2LBhAz799FPB7VKYOHEiYmJitF/Pnz83fhAhuYRzwaKATA7f2p8juPN3UCidpQ7J5lAfQvIqucIOzu75obB3QLl6bVGo5CeQ0erTJqH+g+Rlju75YefoAldvX1Rp0Q/uBQpJHZJNkTHGrDa1dtu2bWjXrh1cXPQXrDRVSkoKnJ2dsXv3bnTo0EH7fJ8+fRAdHY39+/cbbSM2NhYeHh6IiYmBu7t7lmMiuZtuuXz+7X/dMvN8H5Iz/xATxbt1H69TLOBCHPdee8zbF9rvZUru35DLo7Pa7+0S3mu/Zxo14mt01z5OvnoYjgWCBGNR8hagjSuUcWVrQFlu0Z0rvDloVT0y5pnd5c2dq+KZsU13Pl5uQH1IziZ2AWg+scVFdpzntv9FLXHH8eMSSsNJEaiOYSfQlcTz+qL3yfrXWV8k6uftnHzCvbjq8e9ZvX1kqkQwjVo7v0yjVkH17B84uXpy9out0Inz+JPyVfXacpDp95EVPbjLdTjZ6e/Tr55+n8F/38USWrxayoWqpe4/jJUJz6sMvS+mvmeWfI8NpSymPebu7yjw95Tug0A/oYv/GWfjS+7j1LfPOI/BS3P2Pr0KAMA0GjAHF+3FnKS4D3BIiYXCLuMzRHLRupxj/Wu048bKW6u+phv3iVJu3H5EV//6pn3mMPTzkrq2hEl30Ew1ePBgvH792viOIjg4OKBq1ao4fvy49jmNRoPjx4+jdu3aFjkHIbYs+tkdXP11OlLePtU+l9ngjBBCdDGmwbMLBxB+aJV2rTO5wk5vcEYIIUJSkxJw89hmRIRn1IVwdPXiDM6IeFZNJrf0zbnRo0ejT58+qFatGmrUqIGlS5ciPj5eW9WRkLyIMYaIG3/hyf92AYzh9YFFCBywQuqwCCE2Qp2SiAd//IQP/14FAHx4egveRWmuCCFEnPgPr3H7xA4kx0cj/sMb+BSvAjulk9Rh2TSbmu37xRdf4O3bt5g6dSoiIyNRuXJl/P7773qFQ/KinFzmPrvxb0vr4r833LLv3AsKXzXI2NdQm8lq8emPV2K4qUfROsd+xkv/2ReVcdVJ6cJNh0lPR9SkJiNyx1REX9wLAPCo3gH+TQeDRaSV3peruOXwVYXKa79PULpytvUolfF39DyRe3O9iQ+3nXPvM2KrrVNWHwCSdLIR+EsQGCKU2kQIsa6kmLe4+9syJL5/AZncDsUb9aTBWS5FKY3CDL0vxqowWvM95bfN/xxiZyQHLk5nSgU/hfEdL+Xx4BtuGmFRF25lxfu8u2Bu9/7Sfh/14BLC/9gITWoSHLz8ULLDGGjyByL9U0NysXqcY9UO3PnwjrzKin6815XfgZvLqbvOY3F37uemTbz1JPnvEf8zoKGqj1J/lrapARoADBs2DMOGDZM6DEIkp4p9i+frhyHx8T+ATI6C7cbC+9MQyFMSpA6NEEmYu7i0WBrG/WcuNDdKzLwnoeM0TP/TVorAtR7+Bwqh871J1X+S3y/E+ZVD3KPLeLZzFtQJMbBzy4eSbUbAzb8EdD+qJZVuqdeWXTHunDNXgYWki7vqzxPJ58j9EJgksGD3r2ej9c8nYjKG2PmAhBDLYIzh1fl9eHF2NwDAtWgVFO0yBU4s1ciRRAybG6ARQoDkN0/wdGVvqKIjIXd0Q6GQRXAtXc/4gYQQAuDD1cN4sWsGoFHDqVAZBPVeBLcU8Xe8CSF5F2MMjw6txPt7afPNCtToiIDmQyBT2AHx7ySOLnegARohNsje0xd27gUgd3BGYP8VUPoUkTokQogNcSwYDJnCHu4Vm6BQ58mQ2zsCb2mARohuGiM/zdBYSqMpKY/G0iX525NU3FvJ/KqNSbw0Rt1FmRPVhm9Dt/HhTr84+CY5kz3TxAdUgl3JupA9vATfTpPhVa+7NqXRPiGas2+qF3f91ZI+vpzHhXl31vkpjfa8FMgAp4ztcbzK2PyFqPlpisYqM1pzIXFTWXWAFhQUBHt7qt6SHaTOlTWXuXPnTCl/qjtHjH+cUqdPMuX8kQmZd3ZCpaPTFXXidkSPBcphp/PwzpgTlqxWg2nSOiWZXA7nmJco0WkCZPZKaPIFAOqMlAKZX4mMRp5c5bRZ2N0tY1OyJ2fbU51Ygnhx3ojmdhW625N4JXF18ef16b7HhuanWaq87dZz0Tb7t0GIpTG1Ku0KNwAn/5IIHr4ZygJBtL4ZIUQU3T4kX4M+cCvzKZQFi8Fq63XlYVkaoF2+fBnh4eEAgDJlyqBatWqc7bdu3cpK84SQ/6gTP+LJ6i/hFFQB/p0nAwDs3fIBAFIMHUhILiU0l0xoDhp/P6F9hOaECc1p4l+dFWprm0BBIf3nBOaICawb5igwt+tNEvffdoJKvy2h9dOSEz/i2ar+KDRgBVyCa0CusIOLfynOPokFi+sdV8xVvxKbP+8Kt5+j/lUaTwf9hd34c86cBS5mCU3aF5pnRwjJXh/O7cKH/21F0PDNsLNTQiaTQVmwmNRh5VpmDdBevHiB7t2748yZM/D09AQAREdHo06dOti+fTsKFaLVwgmxlKTX/+Leos+R9CIcsTePI3/DvnAwfhghhAAAnp8Pw6PlA6FJjkfEzukoPvGQ1CERQmwEU6sQuWcWov7eDAD4cHYHCnwaInFUuZ9ZA7Qvv/wSqampCA8PR6lSaVfg7t27h379+uHLL7/E77//btEgSdZIvRq6IYZiMaVcviG65dv5aXVit/HPt/pUxr6OvCzFD8niL/f66Fxl/iuG++fopQDe3TqJWz/0RGpcFOw8fVFk+GbIPQrC1y9jAeonkS84x2lidSboegdytj2L/aj9vrKvD2fby5SMuH14V7+r80rpP/6YeWpmlE75Xg8H7pV13Z9pv3qenG267z9/m7ly0u86IdmNaTS4vXsebu2YBQBwLdsAhb/6hVIaCTEgu+YaGZ9zxv07TVRnPscM0J+T9kHnf/G/8dz/2XEGyssDQEX3tP2TP0bh72W9EXXjBACgQKsRyNeoPxivD3Hw8tN+n+DCfV3NCnLL6t/lFZouxqv4yr+L7mbP/TzyUadK7eBPucvz8N9DKeecpbdtbjtmDdBOnTqFs2fPagdnAFCqVCmsWLEC9evXNysQQkgGxhie/L4G4Ru+BdOo4VT0ExQZsRn2Xv5Sh0YIsQGqpHicXzEQL86HAQDyNx0Mvy9mauePEEKIIdHP7uDkvK74GPkvZA7OCOi1AO6VmkodVp5hVk8dGBiI1FT9dQ7UajX8/ekDJCFZ9WTjGET+sRoA4F+vG7xDfoDcQX8uCCGE8CV/jMKJ6S0R/eQm5Hb2qDpwGZJrdJM6LEKIjYi89TdOzu2C1MSPcPEJQsG+y+EYUFrqsPIUswZoCxcuxPDhw/Hjjz9qC4NcvnwZI0eOxKJFiywaICF5kUvRTwCZHKV6zECxdqPxMtFwyVtCchMxBUDELEotdj9zi1AIL3ptvACIUCEM/iLYAPAiXj+V+G0yt4JsjMCi1L4eHvD2K47kD5FoMXEb/MrUxu1E46s9u8n1qy4Xd9IvABLMS0kSqlwrpgCI0PvAT9sCxBV/ISQ7mF4an5+WmHnb/L8HYwu0R/H6Am9oMt3uyv975K0j/4JXrv6VZzHA0RUuQZVQdPhmFMrPLY0fwftMUs1Nt69y4WyL452rg6/hzzNOvOJI/PdhcF1uWqMuU9MJrZnOmtW2zRqg9e3bFwkJCahZsybs7NKaUKlUsLOzQ//+/dG/f3/tvlFRUVkKkGRdTpqHY2ieF5814uaXfdfNT1ZmPq1KL4/Zw0CVDiedvyp+B8ovq9/aL6Oj8lKkQJGeftTxC5wrUw0ehdLSiF/bcT841fHIuINd0smPs+2v9xnbNCrune7a+TM6zitx3M5cqciIjd9BJvNy3/2d9Su0pSvqlvGBLiaFexx/vp4uQ78LhBDjNGoV5Ao7yORyNB71E5I+foBbASraRQgxLr3/ANLWWg3+7ggc8gVCZkfLZUnBrAHa0qVLLRwGIXnbxRMHsHXtHAxYcAiuXmnFO9IHZ4QQYohGlYrzoROQFPsOjUZvACCDvaML7B1djB1KCCFIev8C/yz6AkXajIB/3S8AgEroS8ysAVqfPn0sHQcheZJGo8G+XxZg7y/zAQBn9qxE8y9nSBwVIcRWJMW+x1+LeuPVzVMAgLKthqBwudoSR0VIzmEsLdEUph7Lr6yom8bIzxLadCaa85ifHsmvZshvm7+/tzJj/+hUbjaPbhXHd/cu4PyCL5AU/QYPf52E8nXaoZCbktsWryLzm1R73vaMWDx5cfLXZeRnFgU4c9vmp3qaUnmRL7sqclqD2eWcHj16hNDQUDx69AjLli2Dj48Pjhw5gsKFC6NcuXKWjJHkItZKYzO3RLtu6p4pseke94hXcr64ToofPxXQ3zljWemkhDjMHf817pw5AAAo33YoSnb7Hk//S4MsqzPPw8ch82T0N7zccTuddISqntxczNIG2gxwzki35KciJvGmoSTq/CPw5b1G3c7U0FIJ5srJy0YQ01lywWlzzyd2Pw3jPxY3h4p/nNCct3iBuWRCiz3H6/ztvXkSjgPTv0Bs5GPYO7qi8Tc/o3C52lAItF/OiduWl71+2272+rF7COwnBv81A0B33t+q0ALhQmi+GSHW8fjEFlxaMwwaVQo8C5dDw4m7oHBwBCDwB0yylfFZwwJOnTqFChUq4MKFC9i7dy/i4uIAANevX8e0adMsGiAhudG7iKeY83Vz3DlzAAp7B3QcvQq1ByzQ5n8TQoghd88dwrpvPkNs5GO4FyyCTvOPo1ittlKHRQixARq1Clc3TMCFlYOgUaUgsEZbtJj7F9wKFpE6NPIfsz4NTpgwAbNmzcLo0aPh5uamff6zzz7DypUrLRYcIbnR03vXsHhMZ8TFvIerlw96TPkVhcvVxNNEqSMjhNiC82Gr8fva8WCMwb/8p2g+fjOc3PNLHRYhWpZMK8yqrJzb1KqNxrYL3WFPp1/F0fBC1PyURv722zEZ2TQuOoW/1GoVwhd9jnsXjwMA2vf9FiU7T4FMLgf+qwQZxSvw5efITaOp5cYdPhTWSVOM5WUDFORVguUvuM1/3fzXwU/9tNNJQeC/R7ac0shn1gDt5s2b2Lp1q97zPj4+ePfuXZaDIgQwnB5nKK3N3OMMtcOvYngjOuNPp3o+bqVEQ2mTq0/FwK1gETi7e8GrYCH0mb4VXj6FADBO+iEAROmkLgbyOjjdstY+KdwUJBeh/CaB4+ITM9/vQzJ3G7+Mtpcy838yuummhipjmotSGkle5xdcETK5AtVa9sMn/RZCQVXWCCEiKRR2KFyyAu5dP4uBk1ahxmcdcDvGrIQ6YkVmDdA8PT0RERGBokWLcp6/evUqAgICLBIYIbmJSqWC4r8y9s5unhi+cC/cPPNDbUdV1kjeZsn1zMydqyR2PS79uWPG55sJtR+vEne+VJ1rL2qVCor/lrUJKl8XX685jwKBpeDhoAF/UaMEgfaTeBeZCij155YJzY0Tem+GNXLnPN4mcFFM6Dgx5xO75pm5cxAJyavUapV2KZ/PB07Gp616wrdwsMRRkcyYNWTu1q0bxo8fj8jISMhkMmg0Gpw5cwZjx45FSEiIpWMkxKa9e/cOTZs25aT/5vMtDAdHZwmjIoTYike3LuD7PjXw6nG49rkCgbQMByHEOMYYzuxehg3ftoQqJa0YmFyhoMFZDmfWHbQ5c+Zg6NChCAwMhFqtRtmyZaFWq9GjRw9MnjzZ0jESYrNu3ryJdu3a4cmTJ7h27Romb24HZzdPqcMihNiIs0e2YNsPo6FKTcGB9bPQafJ2qUMixKjcMhfI2Ovgb+dPsbDj3QbRvbPM39eR94mcf1f9VTx3zoA7r+qqindT3NNeg9SUJIQtHYGrx9L6jWsnd6Nik5448ppbRv8TdxXvWBhUlre/7hIAbrxj+e+Bk5EKkcbK6uu+5/xtlpz7KPU8SpMHaIwxREZGYvny5Zg6dSpu3ryJuLg4VKlSBSVKlLBGjCSPMmWuke5cL1PKsOvuG8ObFPtVA3Hn151zpRtLWFgYqjftheSkeOT3L4Ihs7dB5uSFRJ1+TXeyrJMi806LX8r+UERG59rEJ4Wz7dibjNL60by0piCd9UdKunE7WF2jG7tnuo2P//qVOq+D5osRYh61SoV9a6fi+K5VAIDKn7ZFnwmrEStxXIQQ2xD7PgJbpvfAi3tXIJMr0HTQPFRo3EPqsIhIZg3QgoODcfv2bZQoUQKBgYHWiIsQm8UYw+zZszFlyhQAQMkq9fHl9I1w9fDmDM4IMUdemI8jtD4Wf76S0GsWeo7f1he1jO+TWVv8uVYpAkuEOQpcaOHP/xKan5Ws01bCxw/YNLMf7l85AQBoFjIBzXqPB5PLYa82vj6RUAzOvEI/+Rz1g+dfgQf0K64B+r+D/CvkaW3pH8d/n4XmoAnJbb/fhFjbozv/YNX4Xoh9HwEnN090nLgZRSs3lDosYgKTB2hyuRwlSpTA+/fv6Y4ZITyMMfTs2RPbtm0DADToOBCfD51DVdYIIaJEv32JVWPa4N3Lf+Hg6Izu41ajUoMOUodFCIHxtDdj6Xm62/XLx3PPxS+j/y6Zu4O3knvF98zbtOyZxxcO4c+FvaFOTUb+wqXRddoO1C1TGLrFhPz4C9fzigbdieYODwryLui858XipFM9mp+aqf+Y8zBLqYPWTDuUOk3XrDlo8+bNw7fffovVq1ejfPnylo6JED2mpC3yS+IbIjYFj5/GlxmZTAZ5/nJQ2Nmj75iFqNumL2c7/8q2l04utm5qIsBNXeR3lvXyZWx79JGbl15UpyQ/P23SXydVUsnbpvu+GXu9usf2q+fJ2WZomQNCiGFuXj7w8ikEdWoq+s/cioDgilKHRAixId6FS8NO6Yxin3yG9t/+DKWzO/iVXknOZ9YALSQkBAkJCahUqRIcHBzg5OTE2R4VFWWR4AixFbolsFt2+xqVazeFf5GSSFYbOZAQkucxxqBRayBXKKCws0fIlI3QaNRw8yogdWiEEBugVqkApF3k9fArjs4LTqBI4aL/LT5NbJFZA7SlS5daOAxCbNffBzfhr73rMH7FITi5uEMmk8G/SEmpwyKE2ICU5ERsXTQCSldPdBq+EADg4uEtcVSE5B5ZqcZn6rH8/fl0M0z4qX4f9NIGuVkuFb1TOY/Tqzq+ffEIv0zriU5fzULZGk3SNrqnr1OcljXzMZWbWZTKm2/KT0MMdFEb3J6PlxLpqDPHlb8vfz6qscwl/Ywp6/28cjKzBmh9+vQRtd+8efMwZMgQeHp6mnMaQnI0tUqFHT9OwrHdawEApw5sRIvuwyWOiuR25hZMsGRxEbFt8fcTez6hQh5iFqEWWjC5u4h/7kLnE2qLL1FowWmBDGt+2vXH/46LefcKm6f3wIt7/0AuV6B6my9RMKi0dj8Pe/2qHUrehzqhBa6FCnS48doSKgjiIFBcRKgACH8xbrE/L0sW+zD3d4uQ3OTe5b+wcWZfJMbFYN+aKShd7TPI6a5ZrmDWAE2sOXPmoGvXrjRAI1lmrXLtuldqDJ0jiZeqGB/7Aeu/74e7V04CADp/ORFte3wNuZwZnAPHn/elq7VfMuexbtn/4m6Z50qW9cw8tzwygdtRf0jOaNNLyd87g6E4+fTL7Is+lJA86/ndy9g0rQc+RkXC2c0LPaZs4gzOCCEkM4wxnNqzGvvXfAem0SCoTHUMmrmFBme5iFUHaIyJ/5BHiK2IeHIXa77rjrevHkPp6IKvpq1B9QZtpA6LEGIj/jm6DXuXjIAqNRkFi5RByIztyOdX1PiBhBA9xtLasrNKYFwKd4Dk6mD8znU6/l1u/hIXV96nzTFTpSbj6I+jcPPoZgBA7RY90GPMEkSpnfFe5zpvEdeMi7cfU7lx6S9yzT2Xm73hSozgLTbNrTjJbYt/rLGfl1BWgKHjDbVly6w6QCMkt7l/7X9Y8113JCV8hHfBQAyZsw3lypSTOixCiI04tGEuDm+cBwAoU7sVuk1YB6Wzm8RREUJsQUpSPHZOaodXdy9AJpej81cz0bjL15DJZECi1NERS6IBGuEQm/Intg1LtWOsDd00u371PMxqx1DcHg5pV3SCixWHk4sbipaqiBGzNsDdK79eSqOh9ED++XXj1k0/BAAnnUm3rxL465/olsvnnoOf1pgZfpzmvjck7xE734e/X1bmJYnZr7uI30uhGPhzqtLopyrzr37zrzID+hP9+QqVqAyZXI5WPUej/YDv/ktJ0kBo/WmhRaJdeQtOCx3nZGc8e0VovpnQ3LWedTz1nhMzH9DaaM4ZyYvslc7IH1QG75/fw6Dp61GuRmOpQyJWQgM0QoxQqTLSBLzy+2LKjweRr2AA7OwdDBxFCCFp1GoVFIq0f7cV6rTEjI3n4RdElV4JIeKkldG3g0wmQ9OvfkCtLmNQrkSg1GERK6IBGiEGvHjxAh07dkTNNoNRp9nnAICChWiuCCFEnPBLx7BrxTgMWxAGb9/CAECDM5LrZbU8vSlziaScd8SPu399biybzkRzHutWReXPtUriVYX1Umqg0Wiwc+0cPL5/A2MWbIdcoQAgA3wKIYlXH0x3zhn/XAWcuIXG+OfiZwfw79478TJ1Qup6wlqM/Tx17/Tn5mweqw7Q6tevr7eINcnZpPxlz0oanSlVBzPDT1U8f/48OnbsiMjISDx6FoGK9drCXumodz5+hccknXYceZ0a/zXqpkN5KXmdtU673vw1R3Ta5b9P/HNkhv96ddMtTUl/5Fdx5KeYEpIXMcZwYvcqhK2dDKbR4PctC9Fj7AqpwyKE2IjE+I9YOX0ILp8+AgC4dv4oPqnbQuKoSHYxe4D26NEjhIaG4tGjR1i2bBl8fHxw5MgRFC5cGOXKpRVNOHz4sMUCJSQ7nTmyFUMWjUJKSgrKly+P3lO2aAdnhBB9YuaXZWXe0I7z3PbNXXtLaL6ZhunPvZLLhC76GK5OBgBuDhqkpiRj4+LR+N/hrQCAWi164YuRiyD/73D+IrGA8LwxoQtP/BluBorCcY+TGX4MCL8eMe8p/2cDCP98CCHivHn5BMsmdseLf+/C3kGJQROX0uAsjzFrgHbq1Cm0bNkSdevWxd9//43Zs2fDx8cH169fx/r167F7925Lx0lItlCrVNi1Zhr+3PEjAKBDhw7YtGkTdl8X+zGIEJKXRb9/jZWTeuPhrUuQyeXoPmw26nT4Kq3KGiG5VFZSFM3ZPyuMxaq73dA2MdsdeZ+yddPz+AWFvP7LlLl1+W8s+a4f4mI/wDO/L0bP24LiZavqXUDht81vT3d/YymKv5zmZsLwCyAZy2gyVPqez9R0V74etfPGxR+zVrSbMGECZs2ahaNHj8LBIaNQwmeffYbz589bLDhCspNapcKyCd20g7MpU6Zgz549cHOjEtiEEONePXuI77/8DA9vXYKzqwfGLNqFZl2H0OCMECLKqcPbMXtkZ8TFfkCxMp9g5vrjKF62qtRhEQmYdQft5s2b2Lp1q97zPj4+ePfuXZaDIjmfufPFrFGC31g7hrbpzsNS2NkhqERF3L92BgMmrcaMKX202wyV7k8vwS8GvwS+r3PGnbnHH7mXuIq68Sa36dDd15T3QndfS5XZN3dZA1NYo01CLC2fjz88vH3g6OyKkfO2wjewuNQhEUJsSFBwOdjbK1GjaRv0H78UDkqq45BXmTVA8/T0REREBIoW5Vazu3r1KgICAiwSGCHZRa1SQWGX9qfQceBk1G3ZA76FgyWOihBh5q4llpX5X2LWvbL2ulT8OVNi3wcxc9e2CRTWEVoTjB9DgkoOjSbtIotcLgfsXDF83jYoHZ3h7Oqhne8mZl0yIQ4iclyE5o0JxZ7Cy9LuKfLnJeZnT/PNiJSVFC1N9++HX4UxpG7WUh512f93mvTPIHEpcuQvUglT1p2Eb+ESkCv41RW5f9dCVR91CfUN6fgXXV15F5r5r8PYhWBDP3+xhcsyk5t+t0xhVopjt27dMH78eERGRkImk0Gj0eDMmTMYO3YsQkJCLB0jIVbBGMPv21dg/og2SE1OApD2IYsGZ4QQMRLjY7Hyux74beMC7XNe+f3g7EqVTAkhxj17cANT+tTCo9uXtM/5BZWktGhi3h20OXPmYOjQoQgMDIRarUbZsmWhVqvRo0cPTJ482dIxEisyN+XQlDQzQ+lpYreZQsxrSkpKwuDBg7Fz0yYAwIXje7B+zteZtsMvSd+vnn6b6XTLzhtK/+O36+/Mvfqlmw7py9tmKP1R9xwxKdy4PcxcW5v/+g2hFESSF7x+8RiLx/fAqyd3cfvSSXzaJgReBfylDosQYiMun9yP9XO+QkpSAnavmYZxyw/RwIxomTxAY4whMjISy5cvx9SpU3Hz5k3ExcWhSpUqKFGihDVixJMnTzBz5kz89ddfiIyMhL+/P3r16oVJkyZxipQQIkZERAQ6duyICxcuQK5QoNuwOajbsofUYRFCbMSty6ewYnJfxH+Mhmd+PwybvYUGZ4ToyGpVx+w8N39/3SqB/Iuq+heODQ+o+Of+5XQMNBoNftswHwc2zAcAlK/eCCNm/gI3JQOQkWrIr8o4uK7hC778i6O6r4ufDuloJO3a0ALb1mbK74qUv2fWZtYALTg4GLdv30aJEiUQGBhojbg47t69C41Gg7Vr1yI4OBi3bt3CwIEDER8fj0WLFln9/CT3uHTpEjp06IBXr17By8sL/aeGoly1hlKHRQixAYwxHN29DltWfAeNWo2iZapi2Jwt8MrvJ3VohBAbkJQQh/VzvsI/f/8GAGj5xdfoPvT7/+bBmzdXleROJg/Q5HI5SpQogffv31vtjhlfixYt0KJFxgJ9xYoVw71797B69WoaoBHRDhw4gK5duyI5ORllypTBgQMHcDqygNRhEWISSxbjsHbBETEFOsQSc06hBZP5i1ALvWahRZuFFq/esGQ8ju9ZBwCo0/wL9BizDPZKR87C0/YCV5rjU7ltCZ3PxV7/wxm/sAcA2PGOFSoI0l0gzVhMsQ9zmft7REhe8v79e8wd2hwvHt2Gnb0D+n/7Axq06Sl1WCSHMmsO2rx58/Dtt99i9erVKF++vKVjEiUmJgbe3t6SnDursrtkuKVK4ottw5TXZG47uvO8jB2X/jpeJwfC2dkZTZs2xa+//gp3d3dcfBstqh1D5+PjzzvTxZ/L9SE54zG/0pvuvDNTSuDr4i8BoNuOKXP8DL2m7EDz2khOULR0FcjkcnQdMh0tug9DiiYb834IITbNy8sLPv5FEfvhLYbO3IzyVWpIHRLJwcwaoIWEhCAhIQGVKlWCg4MDnJy46zRERUVZJLjMPHz4ECtWrDB69yw5ORnJycnax7GxsVaNi+Q8KpVK+33BQkVx/vx5FC9eHAqFwsBRhKShPoToLsNRr2V3FCtbFf5BJSWOitiCvNx/WHoukKFy9fxzGS8RL74UPp+h0vVCfjkdw+lDRn6/CvFxMcjnEwB+SuPbRO7nEieFaecy9Dr5c8pM/fmY8h7xGZobZ04sljo2pzNrgLZ06VKLnHzChAmYP3++wX3Cw8NRunRp7eOXL1+iRYsW6NKlCwYOHGjw2Llz5+L777+3SKzE9jx48ACdOnVCq/7TUKlWEwBAyZL0wYqIR31I3nbhrzDsWT8Pk1b+Bg+vtHRoGpwRsaj/yNtSU1Ox5YexSIiLwcApP0Emk8HR2RWOzq5Sh0ZsgIwxJtmsxLdv3+L9+/cG9ylWrJi2UuOrV6/QsGFD1KpVCxs2bEhbGNQAoatXgYGBiImJgbu7e9ZfADGZuemW/BRDpSLz1D0AOHr0KLp27Yro6GgUKloaczf9D3KFQqBcfkbqnqHYTInblBRW3ddl6DWZ+74ZOp+hJQCMLXmQV1IOqQ8RJjTXy9z5ZWLb4s9zErMoNQAk8f7m+9T11NtnM+/qskajwd5f5uHAhoUAgNa9RqHLkGl6C4fGq/TnfwktSs2fNyY8503/OQeBK+j8amxC+wi1b+4cPlqE2nzUf1iOKXfQ+Eypdshvj3+ssTto6ce+e/cOXbp0wcmTJwEAE1f9ieDyNeDqIDCx9D/G7qD1r2+4iiOf7uvUX3DbE6aw5F2v3Fx50ZLMuoMGAGq1GmFhYQgPDwcAlCtXDu3atTMpdaxAgQIoUEBckYaXL1+iUaNGqFq1KkJDQ40OzgBAqVRCqVSKjofYPsYYVqxYgdGjR0OtVqNWrVro9V0o5JTSSMxAfUjek5QQh7Uzh+DK6UMAgOZfDEWnLydJHBWxRXm5/7D0h3Dd4/ltZ7WsviHGBnP8Ij1bz0Xj+aM7WDy+B96+egpHJ1cMnrYWpStWB8D0Sufr8lJyB2+qzMdygrEZYqysPp+paaGG3nNj+9KATZhZA7SHDx+iVatWePnyJUqVKgUg7VZ+YGAgDh06hOLFi1s0yJcvX6Jhw4YICgrCokWL8PbtW+02X19fi56L2K7k5GR8/fXX+OWXXwAAffr0wZo1a7D3apLEkRFCbMHbV0+xdGIPPH90B3b2Dujz7RLUb0VrJBJCxLn892GsnjEYSQlx8PEvgpHztqJQsTJSh0VskFkDtBEjRqB48eI4f/68tpLi+/fv0atXL4wYMQKHDh2yaJBHjx7Fw4cP8fDhQxQqVIizTcIMTZKDJCQkoGnTpjh79izkcjkWLlyIb775BjKZDAAN0Aghhj2+ew0Lx3RGXEwUPLx9MHzOZgSXpyprhBBxjuxYjS3LvgMAlP2kPkbM3gAnN9usNk6kZ9YcNBcXF5w/fx4VKlTgPH/9+nXUrVsXcXFxFgvQkmJjY+Hh4UH53wZYYwkAc8v1m4IxhsGDB2Pnzp0YMOUXlK/ZWHA/Y3PXxBL7Phkrz2+ofL3usUlq7jbd8vmWeA1ZaScnsfZrsnYfktvXkxKa4yQ0X0oI/33YJtCvCK3/JXROvhS1DPGx0Zg+qAmcXNwwau4WePsE6O/HS2cSit3ZTj8vib+mmlwmsOaZWr8xobSkuFRuipSrvdD59OPix5qV3yv+e2runLe8xtY/g9hKKpol/w+YMgftzj9nMGt4RzTq0A/dh8+GnZ293lwv3feQnx7Jbzsuhfu3zu8PTK0oqcuaaYa28nuS05l1B02pVOLjx496z8fFxWkLehCSHVQqFezs7CCTybBy5UpMmDABp17lkzosQogNUKtU/81PlcHF3RPjl+6Fu1cBOCidjB5LCCG6JfTLflIXszadoUqvxCLMWmWzTZs2GDRoEC5cuADGGBhjOH/+PIYMGYJ27dpZOkZC9Gg0GkyePBlt27aFWp12e8nBwQHFihWTODJCiC2IjX6PWSM64s8967XP5fctTIMzQogod6+fx+hutfDi8V3tczQ4I5Zi1h205cuXo0+fPqhduzbs7e0BpN3JaNeuHZYtW2bRAPMyKVLQLFE+3hopjbptJsZ/xG8rh2P//v0AgMOHD6Nt27ba7ZZKYzRUkl5srEpe8UhT3jfdY/ntWIM10luzm63GTbLX04e3sWhcT7yNeIZnD2+jRpOucHET/zdOSF5kSqqaNSv3GaukyE/9M7a/Of83Tvy2Bevmj4FalYozuxZhz549gvvpfx7KOLexFEV+SX5+3HymVFI0VqUxK0ytokkpkMLMGqB5enpi//79ePjwobbMfpkyZRAcHGzR4Ajhe/PyCRaP644Xj+9CqVTip59+4gzOCMmLrD13Tah9PqF5T/w1tMTOVRKaNyZm3pPQvDTdD0QAcOnUQayaMQTJifEoGFAUY+b/Cic3D/Bncgmll/Dne/HXWAP055sBQuWyxc03E3pPhea48Zm7dpnY3yNaG43kVWqVCptXTMGRHWsBAJ07d8bGjRsljorkRmavgwYAwcHBNCgj2eb2ldNYPqkP4mI/wM/PD/v27UPNmjWlDosQYgM0Gg3CNizC7p/nAgDKVWuAkbNC4eruhRTjYx5CSB4XF/sBK6f0w81LpwAAXQZOwPY1s0Wty0uIqcwaoHXu3Bk1atTA+PHjOc8vWLAAly5dwq5duywSXF5nS1UUDaXHGTq/2LS600e246c5w6BRq1GsdBX8few3BAToV1kTYm6qou6++tUYZZluM5SOyH8vknWuwPer5yk6NmvQff9zY4VHkncxxrBy2pc4f3wfAKD554PQc8Qs2NnZSxwZIcQWvH/9ArOHtcPrl4+hdHTG0GmrUbNRWxqcEasxa4D2999/Y/r06XrPt2zZEosXL85qTIToCSxeDvb2SlRr3BpfTlyGgAA/qUMihNgImUyGYmWq4NKpg+g/dhEatQuROiRCcjX+vCL9cvXmt52k4qYI80vZ85lSKh8QLoXv4lUQXj4BUKtVGDn3VxQuUQFJKv35VHz818mN3fDcOb6sXCjN6rw7S84bozln4pg1QMusnL69vT1iY2OzHBQhQEYJfQAoUrICZv1yAn5BJf5bfJoQQgzTLYHduvswVKnTHAFFqMoaIcQ4xhg0ag3kCgXs7OwxbOYGMMbg7pVf6tBIHmDWAK1ChQrYsWMHpk6dynl++/btKFu2rEUCI3nb9evX0bVrV2zcuBG1atUCAPjTByuSy4kp7CG2kAN/v6wUDTFWJS0zYoqLiF28mh+D4GLPOnPJTh7YiBNhv2DaqgNwdnEHZEBg0RJ6i74DwgVBHBT67RurogYIvzf844QKgoj5GWa2n6WOo8WlCUmTkpSINXNGwtk9H3qNmgcAcPOkNVZJ9jFrgDZlyhR06tQJjx49wmeffQYAOH78OLZt20bzz7LIGqXOTZkTZko7YreZ2uaePXsQEhKChIQE9B0yGlNWHdK7a2ZojpQpsYidO8efH2boOFPmvJn7s7AEa/w8CZGaSpWKbSsm4fiedQCAv/ZvQpsewySOihDbl5U0N/7/FGOpgYbOZSylkX+ssRLy/P2j3rzCwvG98W/4VSgUdmj5eT/tnXdjywXwGdqfn6rJT3k09tnN2P9p3f31K8lyGfvZmlI6n1IYLcOsAVrbtm0RFhaGOXPmYPfu3XByckLFihVx7NgxNGjQwNIxkjxCo9Fg5syZ2vmN5as3xPCZv1BKIyFElLiYKPw4tR/Cr/wNAOj05SS07j5U4qgIIbbiwa3LWDS+N6Lfv4abhzdGzQmltGgiCbPL7Ldu3RqtW7e2ZCwkD4uLi0Pfvn21iz2OGjUKn3SapJ0/Qgghhjz/NxwLvu2Jt6+eQOnkgkGT16BqgzaQCaRCEkII36nD27Fu3jdITUlGYPEy+HbBrygYUETqsEgeJWOMmfzf6/nz55DJZChUqBAA4OLFi9i6dSvKli2LQYMGWTxIS4mNjYWHhwdiYmLg7u4udThWY8ptcHNL8Bs6h6nnj4v9gNnD2uLZw9tQ2Nmj/7gf0LBNr2xZAsCcNrLSjqF2Ka0w58sJfYjQnC0h1lxM2Nrz4IReI38BaN1FnO/88z/8MK47khLjkN+vML6ZtxWBxcsBEFctTsy8Mf45AeG5ckJz4/g/C+EFtfV1pz4hV7FG/2EoNc3UlERT/88ZSu/LapqbJasGijF16lTMnDkTAFDt01YYNm01nFzcTD6vsZRHXfwUR6G5qbqyWolRV3a/v1lhS7FaklmFTnv06IETJ04AACIjI9GkSRNcvHgRkyZNwowZMywaIMn9nF09ULBQMbh7FcCklQfQsE0vqUMihNgQv8DicHJxQ+nKdfH9ur+0gzNCCBGjatWqkMlkmDx5MsbM2wQnFzepQyJ5nFn5Y7du3UKNGjUAADt37kSFChVw5swZ/PnnnxgyZIhedUdChKhUKgCAXC7HkMmrEP8xGvkKFpI4KkKILdAtoe9VwA+TfzwEr4KFaPFpQogoukv5tG/fHnfu3EHp0qVNugtGiLWYNUBLTU2FUqkEABw7dgzt2rUDAJQuXRoRERGWi47kSqmpqfjmm28QFRWF1sN+hEwmg6OzKxydXaUOjRBiA96/foEfJvRGqx7DULtJZwBAwUJF9VIQCcnpspq+ZWh/UyrvAfrVDrNa2c+UtixJzMLU184dw4YfJmLyin3I75t+Ybggblz4wInNWNrnpjPc7Y68T9WG0hiNpV+bu7xJOkOVFS39/luzimNeSWnkM2uAVq5cOaxZswatW7fG0aNHtXm7r169Qr58tE6E1EzJS7ZUeXyxc6lWHHqMVVP74O4/pwEAw4YNQ53adYyeT7d0PaBfvl5suXpz59yZ+3qzwtxz0Ly23E3s3DIxa5DlhLW3xMQJZMztun/zIhZPCEFM1BtsXzUN1T9tDQelIwDhtcvEEDuw439ASlHrT0LrXdf4axb6oCUUgzXfU1rzjORFjDEc3Pojfv1xOphGg70bFmPQhCVSh0WIHrMGaPPnz0fHjh2xcOFC9OnTB5UqVQIAHDhwQJv6SAjfrVu3MGNgG7yLeAqlkysGTVmLOnWMD84IIQQATh7aip/nj4YqNQWBxctizPyt2sEZIYQYkpKchJ/nj8Gpw9sAAI3a9kK/0fMkjooQYWYN0Bo2bIh3794hNjYWXl4ZV+EGDRoEZ2dn7eMzZ86gWrVq2nRIknft378fvXr1QlxcHPL7BWHEvG0oVKys1GERQmyAWqXCrz9Ow+HtqwEA1Ru0wVdTVlNaNCFElA/vIrFofG88vH0FcoUCISNno0WXgbTOKsmxzF5kSqFQcAZnAFCkSBHO45YtW+LatWsoVqyYuafJc7IjPU03XZCfKigWP1UwJiXzTm7ZsmUYNWoUAKBRo0bYtWuXNhVWt51kXrqQbmz8OPVTHj3Nittwm5m/N9lRrl/sMgf8/Qwdp/salbx0MEqHJDmRWqXC/LFf4MaFtMrBnft/i84DxgMyhcSREZJ1Us6v4Z/b2DwxU8rqm1pow5Jz1PgpxK+ePsCMYR3w4W0EXNw9EbZnF5o0aaLdLnaKhFCcdkJrbejgl843NL+Nj/86+O+Jsc8T2fm7lVfniVmTWWX2xTJjiTWSC1WpUgV2dnYYOnQo/vjjD5qnSAgRTWFnhyIlK0Lp6IxRs0PRZeBEyOVW/ddFCMlF8hUMgIdXAQQUKYk5649xBmeE5FRm30EjxBDd8rWffvopbt68idKlS0scFSGWse/yBzi7qAFYttiCuUUhhPCPE7vAtRCxhTyMHSe0+LPQc73renL6kM+rL8byNj3hXzjY4PmE2uJfhRbaR2hxaTEV08QWJeEvTC28wLX+c2KLuIhBRUFIXqJRqwGZDHK5HEpHZ4xfvA2Ozi5wdrHMAuGEWBsN0HIYS6TOGWvDUOqeuSmWHg4ZH1TOnj2LPn36ICwsDOXKpS0Ym9ngTOw5+Lfy+SmN5satu6+hdANTUhMN4adximXu+Y29b4TkNIwxLFy4EAcOHMCxY8egVCqhUCiMDs4IyYssmRpo7NistM2/MKJfCt/w8aakV7Yoo0CPHr1Rs2ZNTJky5b9nM/YxtrwANy7DF2GyMjWAX4Lf1cG0rDMppyVYc9mE7FySISejPBFiUScPbkHDhg3x8OFDnY6REEKMS0lOwtpZQzBu3Dj873//w44dO6QOiRBiQx4+fIhatWrh0KFDmDdvHl69eiV1SISYxap30Kg6Tt6hVqmw9cep+H1HWpW1zp07Y+PGjRJHRQixFR/eRWDZxN74N/wKFAoFli9fjt69e0sdFiHERhw7dgxdu3bFhw8fEBAQgLCwMPj7+0sdFiFmseoAjYqE5A1xsR+wYsoA3LqUVmXt+++/x+TJk2kiP8m1Olbzgrt71uYyWHK+mRhCC1zz50YBwnOh+MdaOvaLFy+iw1cdEBERAW9vb3z9/S/I98mn2HkhIz4N4wYmtLCzUDoSfzFpoX2E3ptfz0brPcc/1kgBN4PnNJclF/+2lOz+XSYZckr6l7GqjcYqEpqCfyxjDCtWrMDo0aOhVqtRonw1jJm3Cf+qffHvhQ96+5tSDdFYnPxj+WmL/CqOum0b6xdMfY9MSQPNKmv+3uWU32mpmTVAe/z4MVQqFUqUKMF5/sGDB7C3t9eW2//48WOWAyQZzC2tbgqx7aTv9+LFCzRq1AwPHz6Es7MzNm/ejE6dOmV6nClzqbjLAXD3M3dOlrll7U15fw0tY8AvbS+WuT/fnFY6PzuWkSC2Zf/+/fjiiy+QnJyMcuXK4cCBA7j0hv5BE0LEGTZsGFatWgUA6NOnD5r0n0sL2BObZ9Ytjr59++Ls2bN6z1+4cAF9+/bNakzEhhQsWBCBgYEICgrC2bNnDQ7OCCGEr1y5cnB2dka7du1w7tw5WjeTEGKSqlWrQi6X44cffkBoaCgNzkiuYNYdtKtXr6Ju3bp6z9eqVQvDhg3LclAkZ2OMQaPRQKFQwN7eHrt27YJGo0GBAgWkDo0QYgN0S+gHBwfj/PnzCA4OprRoQkxkyYp3WWkrqwtVG6NbBXLnhQ9Qq1RQ/NeH9O/fH3Xq1NFWizZ1AW4+3UwPY6mZ/O3963sabFtXSF3x+wKmvw5D2y1dKVG3vawugE4pjmnMGqDJZDLB9MWYmBio1eosB0WEWSMlzJRUwa3nopGSnIh1c0egaik/LF++HACMLjxtblqboeUAsuO9EHs+U0rZS53WJ3WKodSvPycRO0dHzHwiMW0JzTcTOzeKH4PQ+YTmbAmtE/bq2UMsnhCCkJGzUKnmZ/89WwDXL8Xo7WsoVqH1zITw56oJzRsTem+EYue3ZckYsvv3wZJovhnJTueO7cPu9QswbdVvcPfKDyDzpXwIsVVmXa789NNPMXfuXM5gTK1WY+7cuahXr57FgiM5S9TbV5j5VWuc/XM3Vq9ejfDwcKlDIoTYkOsX/sKkAU3x/N+72Lx8KjQajdQhEUJshEajwa6fZmPp5AF48fgeDm9fI3VIhFiNWXfQ5s+fj08//RSlSpVC/fr1AQCnT59GbGws/vrrL4sGSHKGCxcuYMqADoh+FwlXD28c2LcbZcqUkTosQogNYIzh8I412LR8CphGg1IVamDMvE2U0kgIESUx/iNWzxiCK6cPAwDa9hyOroMmShwVIdZj1gCtbNmyuHHjBlauXInr16/DyckJISEhGDZsGLy9vS0dI5HYpk2bMGjQICQnJ6NQsTIYM38rGjWqLHVYhBAbkJqSjHXzR+PkoW0AgIZtemDguMWwd1BKHBkhts+S84wsWdadj58OzJ8awE9h1i1X/+blEyz/rgeePwqHvYMS639ex1kj0VhbxuY89agt/j3kM/aeGfoZmFqN2pLz/LKz7L6lf+/yCrPXQfP398ecOXMsGQuRgLEOYdq0aZgxYwYAoH379ti8eTPc3NxMmq+VrBY3T8MQYx2ZoblV5m6zBHOXA7AWqc+fV1lynSih48TMS+ou8CFEaN6YmLW9xB4XF5+AuSM74sGtS5DJ5eg9YhZadh0MmUymnZfFX98sc8bnywm1xV+HSGjemFxmfL6ZELFz+ITWWTOXub83YuYREpLTPL57DYvGdEZcTBS88vtizLxN6N27qdRhEWJ1Zg/QoqOjcfHiRbx580ZvHkFISEiWAyM5Q3r52u+++w7ff/89pSQRQkRTOjojoGhpvHx6HyNm/ILKtRpJHRIhxIb4+BeBi5snCgYUwdh5m+Dt4y91SIRkC7MGaL/99ht69uyJuLg4uLu7QybLuCIpk8logGbjdEtgt2vXDrdv36YKSYQQ0dJLYMtkMvQbsxAd+oyBj38QxNwFI4RYRlbS7yzRvinn1qVWqWAntwcAeHh6YuKyfRjUsgScnJwEj+XfFbfjXUc2lgpoqD1D6Y9ZJfYOvFiGUiApjdD2mDVAGzNmDPr37485c+bA2dnZ0jGRTFgjHY+fgpcv9gKGDx+Oo0ePIigoCEBG+VpLlMs3lPJnbpl7Y+0YOlbsceamKlJKIclL0qusPX1wE2MXbINcoYC9g/K/wRkhhBgW++EdfviuL2o17oQmnQYAAAr4FdYOzgjJK8zKV3v58iVGjBhBg7NchDGGw9t+RKtWrfDgwQPMnj1b6pAIITYkIT4WP0zoif2bfsC1c0dx/cJxqUMihNiQpw9u47t+jRF+9Sx2rZuDhDjDayMSkpuZdQetefPmuHz5MooVK2bpeIgEUpKT8MvC0Th9OK3K2oABA7BixQqJoyLENogpAJKVRYj5x4opCCKW0GLM5oh88Rhrp4Xg9u3bUCqVWL9+PXr27CqqMIXQItFCRTv4hIp4iHk9QmlFQm0JFT3hp1IJxZkTF5KW6pwkZ8lK1T9L46fc7d27F98PCUF8fDyCg4MxaMYWOLtmZN/oxm4spdHU1E5DC85butCXobRDYymn1q7KSXIWswZorVu3xrfffos7d+6gQoUKsLe352xv166dRYIj1vfhXSSWTgzBw9uXIFcosHTJEgwbNowzr5AQQjJz89IpLJnUH3GxH+Dv74+wsDBUr15d6rAIITZAo9Fg5syZmD59OgCgadOm2LFjB47cpc8gJG8za4A2cOBAANCWX9clk8mgVquzFhURZOn5TPfu3cPcr5rg5cuX8PLyws6dO9GkSROLnoNP7Hwwa53D3ONoLlnOZe2lEkjmTh7ahjVzRkCjVqNGjRrYt28f/P2pyhohxDjGGLp3746dO3cCAEaNGoWFCxf+V6QsWtLYCJGaWQM0fln97JScnIyaNWvi+vXruHr1KipXrixZLLYuMDAQBQsWhLu7Ow4cOIDg4GCpQyKE2JCg4HKws3NArWbt8MfeDXB0dJQ6JELIf4yl8lkyXc9Y20LpeTKZDNWqVcO+ffswYNxi1G7bC3uvfASgn7ZoStubzkRzHvPXQtRdBBsAQupm3p6h9EdzWHNB56xW5SQ5i9nroEll3Lhx8Pf3x/Xr16UOxSap1WrIZDLI5XI4Ozvjt99+g6urK9zd3aUOjZBcY8d57j9KSy5UbO58KbGMLeScXkIfAIJKVsS8jSfhVzgYv11PBJBosC2h+VliY+fPLzN3LpnYhb7FzNkSexz/9yGnsuSC6oRkRq1Sab8fO3Ys2rVrh+vRPhJGREjOY9YATSi1UdfUqVPNCsaYI0eO4M8//8SePXtw5MgRq5wjN0pPAUuIj8Wq6YPQoVkd7c/IlHQkS6SPWaOUvaXisUZqpKHzZeWc1m7TluS11yulJ/dvYtmUAfh66iqUKFcNAOAfVELiqAghtuJ42EYc3bcBbS6dhpubG2QyGUqVKoXrOaiACSE5gVkDtH379nEep6am4vHjx7Czs0Px4sWtMkB7/fo1Bg4ciLCwMCrvb4bIF/9i8bgeePXkHu7+8ze+/PJLmitCCBHt/F/7sXrmUCQnJWDrj99j6o8HqJgQIUQUlSoVm5ZOwh+7fwYA/Pzzz/jmm28kjoqQnMusAdrVq1f1nouNjUXfvn3RsWPHLAfFxxhD3759MWTIEFSrVg1PnjwRdVxycjKSk5M5MeZFty6fwvJJfRH/MRpeBfzx5+H9NDgjRATqQ9LmHO/5ZR72/LIQAFCp5mcYPuNnGpwRYoTU/YexMu2Wbj8z79+/x5yRn+P2ldMAgG5DJmPUqFEG2zI0j8zUcvR8/DlnfKbM3TIWizXngVlzzhnNZ5Oexeagubu74/vvv0fbtm3Ru3dvUcdMmDAB8+fPN7hPeHg4/vzzT3z8+BETJ040Kaa5c+fi+++/N+mY3IQxhhUrVmDB6NFQq9WoWbMm9u3bBz8/P+0+2Z0el9MqJWb3Oa1xPkrxsx4xfYgl5yqJmR8lNGfL3BiE5mzpzu1KSojDyu+/xsVTBwEAbbp/jZ5Dp2vnoBmLQcw6aEJxCc0vE7MenNDrEcPceVZij7PkHERrMvd9oLlrwvL6ZxAAuHXrFtq1a4fHjx/D0dkVw6avQfVPW9EFHkKMMFAnx3QxMTGIiRG/8vuYMWMQHh5u8KtYsWL466+/cO7cOSiVStjZ2WmrDVarVg19+vTJtP2JEydqY4qJicHz58+z/BptyfDhwzFy5Eio1WqEhITg5MmTnMEZIcSwvNyHfIyJwuSBLXDx1EHY2Tvg68krETJyluDgjBCiLy/3HwDw119/oXbt2nj8+DF8/IMwc93vqP5pK6nDIsQmmPWfdvny5ZzHjDFERERg8+bNaNmypeh2ChQogAIFCog636xZs7SPX716hebNm2PHjh2oWbNmpscplUoolUrR8eQ2VatWhVwux8KFC/HNN9/QFStCTJSX+xAXN08ULFQUsdHvMXbeRpSsUEPqkAixKTmt/8hqmpqhtDehkv5Rcb6wc3RF2ZJVMGL2Brh5eEMlcpUmfpl93cquxrJGTE15NLTd2mmihtrOznPzGTs3pTxan+gB2o0bN1C+fHnI5XIsWbKEs00ul6NAgQLo06ePyWmIYhQuXJjz2NXVFQBQvHhxFCpUyOLns2Uqleq/RR6Bfv36oXbt2ihdurTEURFCbEV6GX25XI7h01YjPi4G+XwCpA6LEGIDdJfh8C7gj6mrDiOfbyHY2dlLHBkhtkX0AK1KlSqIiIiAj0/aWhWXLl1C/vz5rRYYMd2uXbswffp0nDx5Untn0tjgjOYvEWJ5YtZBM3demtBxQvj7Cc3P0rCMq9IqVSo2LZmApISPGD59DWQyGRydXeHo7Kq3Lpnuumjpfj0brfecnHfXXux6YELz7Lbx5ssKLWRr7lwvsfPZzG3fmuviiSVmPqC5aL4ZAYB3r19g0bjeaNdrOGo07gwAKFioqMRREWKbRA/QPD090/KIfXzw7NkzMGbmbGwLKFKkiKTnz2k0Gg2mTZumTQNdsmQJ5syZI3FUhBBbERv9Hssn98Wdf/4HmUyGFl2+RMny1aUOixBihClph9ZMS7t34wIWjw9BzIe32Prj95j/bS+D6Z3GYuOnQgpdkEnHr/iov69p0zt0Y9EvpJa1tEPd/U2t+ChlWiGlNGY/0QO0zp07o0GDBtoiE9WqVYNCoRDc999//7VMdMSojx8/onfv3ti/fz8AYOzYsZg5c6bEURFCbMWzR7exeFwPvI14BidnN4yY8RMNzgghov3yyy/4/ushUKtSUTi4HMYt3Jqj5t4RYotED9B++ukndOrUCQ8fPsSIESMwcOBAuLm5WTM2YsS///6L9u3b49atW3BwcMC6desQEhIidVhmy+6S/4TkdZdOHcKqGYORnBiPggFFMWbBVhQpXkrqsAghNkClUmHs2LFYtmwZAKBmo7b4euoqODq5SBwZIbbPpCqOLVq0AABcuXIFI0eOpAGahK5cuYLmzZvj/fv38PX1xb59+1CrVi2pwyKE2IjD21dj07JJAIBy1Rpg5KxQuLp7AaD0cUKsae/lD3B2UQMwnjqWlYWQTU1LM+VcqampaNWqFY4ePQoA6DJwAjr1Gwu5PC2/0NgFV/68Vv65Q+qKj93YwtPG8F+nbuxCazIaOtaUc1k6BZUqLeYuZpXZDw0NtXQcxETFihWDt7c3ihYtirCwMAQEUJU1QrLLPp0PWEL4RS7EFvYwl5giF/yYipasAIXCDk0790fv4enrmzGji1dnpmcdT6NxCRWTECocIqbohNBxQs/xC3II7SNUlERMYRexxTGE2s9uVMiDWJK9vT0qV66Ms2fPYtOmTVAFNJI6JEJyFVpx1IaoVCooFArIZDJ4eXnh6NGj8PHxgZOTk9ShEUJsgG4J7HJV62HBlv8hoEhJiaMihNgK3aV85s6di4EDB6JEiRLZukYXIXmBgbo4JCd5+/YtmjRpgtWrV2ufCwoKylWDsx61PTlfhBDLuXvtPL7pVgsvHt/TPkeDM0KIGIwxzJ8/H40aNUJycjIAQKFQoESJEhJHRkjuRHfQbMCNGzfQrl07PH36FDdv3kTPnj3h4eEhdViEEBvx14HNWL9wLNSqVOz4aQ7GzN0odUiEEBGycx4R/1zpd8VSkhKxZs5InPlzd9rzO3eid+/eBkvG8+nfYePm/calcO8XWHP5AGPH66Z0W7ptsdtMbUvMdmJbaICWw+3duxchISGIj49HcHAwDhw4QIMzQiTWsZoX3N3dAYib9yR2UWpzCbW168IHqFUqbFo+GUd2/gQAqPVZewyZvFI7z0xobpTQHDT+hH6hffgLSWfWPp/QXC8x88R0F9lOJ2auXFYWiTZ3bpwlfx/EzIOz9u8byTui3rzCwvG98W/4VSgUCqxYsQK9e/eWOixCcj0aoOVQGo0GM2fOxPTp0wEATZo0wY4dO+Dt7S1tYP+xpZL4urHm5Dj5bDVukjPExXzAksn9cfPSKQBA10HfoWPfMZDJckDFCkJIjvfg1mUsnhCCD+8i4ebhjf37dqNRIyoGQkh2oAFaDsQYQ/fu3bFz504AwMiRI7Fo0SLtxFxCCDHk+fPnmDigCV6/eAylkwuGT1uNag3aSB0WIQRAJ5078MZYsnS6KW3t27cPM4d2R3JyMsqXL4/9+/ejWLFiZp+bz9SLjoaKkGw6E815zC+7b+p7yM8YMIUl0wwpZTFvoyIhOZBMJkO1atVgb2+P9evXY+nSpTQ4I4SI5uvri/w+ASjgVxiz1/2BGg1pcEYIEa9cuXJwcnJChw4dcPbsWYsOzgghxtGn/hxEt3zt2LFj0a5dO5QqVUriqAghhoiZ0yQ0Z0vs2mhi5g79ejYajDEwjQZyhQIAMHzWBgCAu2c+qDRAd4Er1mLXBJPLuC9A7Hpm5s73EnOc2HlWYt5nS87PEhN7Vs4n5liab0bMofsZpGTJkrhw4QKCg4O1i08TQrIPDdByiHXr1mH16tU4deoU3NzcIJPJcvTgLDvmRJkyBys3ztfKLa+DWF9KciLWzR0Od88C6D1qLoC0gRkhJG8xpbKirnv37qFJy/boM2oOKtZs9N/xhpfhMNS+JVMzs3p8ZtUpM9ueXf97Lf0ekdyFLotILDU1FcOHD8egQYNw9epVrFu3TuqQCCE25P2bl5j5VSucO7oHx/b+jFdPH0gdEiHEhvzxxx+oWbMmXjy+hy0rp0Gj0UgdEiF5Hg3QJPT+/Xu0aNECK1euBADMmjUL33zzjcRREUJsxf1blzCxXxM8vncNrh7emLAsDP5BtHAsIcQ4xhh++OEHtGrVCjExMShVsSa+W7qbUhoJyQEoxVEit27dQvv27fHvv//C1dUVW7ZsQfv27aUOy+oMlefPSul+Q/tSqiCRmti5WELzpTKbQ3Xy0Db8NO8bqFJTULh4WYxd8Ct8/IMApM0XE7MGmZh9xDK38pnQ+mlC8+XMXf+LH5eYtdIyIyYGSx5HSFYYSqFLSkpCv379sHFj2qL1AwYMwI8//gilUmmRc5u+cLX44/lVGx3tuH/T1kwVtGRaIqU0CqPUzzQ0QJPAiRMn0K5dO8TFxaFo0aI4cOAAypcvL3VYhBAbsX3tbOwNXQwAqNGgDb6eugqOzq4SR0UIsQVxcXFo2rQpzp8/D4VCgSVLlmDYsGG0RiIhOQgN0CRQqlQpuLm5oXr16ti1axfy5aPJ/IQQ8YqVrgyZTIbO/cfi8wHjARmlJBFCxHFxcUGZMmVw79497Ny5E02aNJE6JEIIDw3Qsolu+Vp/f3+cPn0ahQsXhr29vcSRZS9TUhFzY2VGQsylVqmg+K8PqdGgNX7Ydg4BRdKqrAmV8SeEEF3pn0NkMhlWr16NKVOmoGjRolKHRQgRQAO0bPD8+XN06NAB48aNwxdffAEAKF68uMRREUJsxdWzR7Fh6SRMWb4X+X0LAYB2cEYIyb1MnX8jtL9arcbkyZMxf8w/+HbBr9q1EgFPXHqTeVn+rMwF4s8p58/9zMq8opC6ngbPZWx+G39eqimvM6vzocxdBoF/rCViyaly6+syFQ3QrOzs2bPo1KkTXr9+jXHjxqFDhw4Wm4RLCJGeNRdCZozh+ZlQzB83DhqNBteP/IjG/ebq7WfugtBi4xJahJqvZx1Pved+PRvNeeyg0L/VJ1SoRKhwiJ2ZWZz8giNiFwgXYu7PkX+c2EW2Ccmq2NhY9OzZEwcPHgQA3Lh4ApVrU0ojITkdTVywotDQUDRq1AivX79GxYoVcerUKRqcEUJESUlOwo8zh2Ls2LHQaDT48ssvsXz5cqnDIoTYiIcPH6JWrVo4ePAgHB0dMWLGOhqcEWIj6A6aFahUKnz77bdYunQpAKBz587YsGEDXF1tu8qateeEZaXMviXOSfPcSE4R9TYCiyeE4MHtK1AoFFi6dCmGDh36X5W1eKnDI4RYiaXS2I4dO4auXbviw4cPCAgIQFhYGKpVq2ZSG1lJNeP/P+W/rqyU2ecfa+rddUv+r8/OtENK/ctbaIBmYampqWjTpg3+/PNPAMD06dMxZcoUWviRECLKyyf3MWN4R3x4GwEXd0/s37sbjRs3ljosQoiNCA0NxcCBA6FWq1GzZk3s27cPfn5+UodFCDEBDdAszN7eHpUrV8b//vc/bNq0CZ07d5Y6JEKIxMTOe+pS0wvx5ctj03xf+BXwwoEDB3DxTT7OnKzutc1boFlo8WfhuV7688Q0zPj6SEIxOCi4j4XmWYmNQcz5xCxeLXaBazFzwsw9Litz//hz9mjuGuGrVKkSHBwc0LVrV6xZswaOjo5Sh0QIMREN0CxEt4z+nDlz8OWXX6JEiRISR2VZlkgLMJTGKEWKIaU1kpxAo1ZD9t9ddhcXFxw8eBCurq5wd3fHxTfR0gZHCMk25qax6X4G+eSTT3D16lWULFkyS4tPG5t2oJvex78gZMmqjaYydi5j6ZWmtG2JKpuECKG8uyxijGHBggVo1KgRkpOTAQAKhSLXDc4IIdaREBeL+d/2wN7Qxdrn/P394e7uLmFUhBBbcfXqVZQrVw6XLl3SPleqVKksDc4IIdKiAVoWJCYmonfv3hg/fjz+97//YefOnVKHRAixIRHPHmHSgKa4evYowjYtRUREhNQhEUJsyK5du1C3bl3cv38f48ePlzocQoiFUIqjmV6+fImOHTvi0qVLUCgUWLFiBXr37i11WISQHEDDm0IltE7Z0aNHMWhQV0RHRyMgIAD79+8XnMgvl3EbE5r3xD8foJ9iJHScUPUza85pEopBaE6duW0Jzdniv/eWXIPM2vO/zF3fToiYuXjEdmg0GkyfPh0zZ84EALRo0QLbtm3j7GNqhUH+/j1M+NvMzukCxhbUNvV4vqwsJk2IpdAAzQwXLlxAx44dERERAW9vb+zevRuNGjWSOiybQHO+SF7HGMPy5csxevRoaDQa1KpVC/v27YOvr6/UoRFCbMDHjx8REhKCsLAwAMDYsWMxb948KBQKwwcSQmwGDdBMFBYWhm7duiE5ORnly5fH/v37UaxYManDIoTYiKFDh2L16tUAgL59+2LNmjW0gD0hRJR3796hUaNGuHXrFhwcHLBu3TqEhIRIHRYhxMJogGaicuXKwcnJCS1atMDmzZvh5uYmdUiEEBtSrVo1yOVyLFq0CKNGjaKJ/IQQ0by9vVG8eHG8e/cO+/btQ61ataQOiRBiBTRAE0G3fG2JEiVw4cIFBAcH0+LThBBRdPuQ/v37o06dOihdurTEURFCbEV6HyKXy7F582bExsYiICDA4DyznFQC3tT5cKawdNymtGfsdZnyuq35HhHbQwM0I+7fv49OnTrhhx9+QLNmzQAAJUuWlDgqQkhOYWzh47NH92LGgB9w6tQp5M+fHwAyHZwJFbCwZKEIc/GLb1gyJjGFPcQSc5zYharFHmsrbDn2vCwlJQUjR45EfHw8Nm7cCJlMBjc3N8reISSXo1tABvzxxx+oUaMGbt++jW+//RYajUbqkAghNkKj0WD7mtlYOuVL3LlzB0uXLpU6JEKIDXn79i2aNWuGNWvWYMuWLZx1zgghuRvdQRPAGMPSpUsxduxYaDQa1KlTB3v37qWURkKIKInxH7Hi+69w+e/DAIBx48bh+++/lzgqQkhOl57m9vTBbSwc1xNvI57Bzc0N27ZtQ40aNfT2lzINzpRzSxmnsTL81kw7tJX3iOQ8NEDjSU5OxpAhQ7BhwwYAafNFVq1aRVXWCCGi/Pvvv5g8sDWe/3sX9g5KDJ64DPOnD5Y6LEKIjbhw4jf8OONrJCfGIzg4GAcOHECZMmWkDosQko1ogKYjPj4eTZo0wfnz5yGXy7FkyRIMHz6cqqwRQkS5fPkymjdvjqioKPj5+SEsLEzwqndmrDlPSGiul1ygaxNa9FpoPz6h2C05d81SCy1vOxet95y5i2ULEbMQtiUXyya5y8GtP2Lz8ikAgArVG+Dk73vh7e0tcVSEkOxGAzQdzs7OKFu2LO7du4cdO3agadOmUodECLEhxYoV05bBDgsLg7+/v9QhEUJsSL8OdbH1RwWGDRuGRYsWaau/WkNeqRqYlddlrCojIdZCAzRklK+VyWRYtWoVJk+ejKJFi0odFiHEBuiW0Pf29saxY8fg4+MDJycniSMjhNgC3T4kfRFqWoaDkLwtT1e90Gg0+O6779C+fXuo1WoAgFKppMEZIUSUt2/f4rPPPsPq1au1zwUFBdHgjBAiyunTp1GmTBncvXtX+xwNzgghMsaYwIyDnOnQoUOYMWMGbty4AUdHRzRo0ABhYWGij4+NjYWHhwdiYmIAAL169cJvv/0GADh8+DBatmxpjbAJIbmEbh/y+PFjtG/fHk+fPoWrhzeW7r4KZxd3AED32p5G27LkPCRz27L2+l/mzkETM1/OknO2xL4P/Pl5OWGNOmI7dPsPd3d3rFu3Dl99PRRqVSpqNW6Pb2aH5to0Q2O28uaG9hDRhxKSm9lMiuOePXswcOBAzJkzB5999hlUKhVu3bplVluPHj1Cr169cOfOHTg6OmL9+vU0OCOEiLZ//34MGTIECQkJ8A0sjjHzt2oHZ4QQYkhqaiqGDx+OlStXAgBqN+6Ar6aslDgqQkhOYhMDNJVKhZEjR2LhwoUYMGCA9vmyZcua1d5nn32G6Oho+Pv7IywsDNWrV7dUqISQPCAkJAQA0LRpU3QZ8xNc3T2lDYgQYjM6duyI06dPAwC+GDwJHfuOpmrRhBAOm5iD9s8//+Dly5eQy+WoUqUK/Pz80LJlS7PvoEVHR6NmzZq4fPkyDc4IIWb55ptvcPjwYRqcEUJMcvr0abi6uiIsLAyd+o2hwRkhRI9NzEHbvn07unfvjsKFC+OHH35AkSJFsHjxYvz555+4f/9+pmuEJCcnIzk5Wfs4JiYGhQsXRqdOnbB69Wo4Ojpm10sghEjIzc3NrA9BmfUhixYtwsCBAzM9bt9l7pymjtXEzSvhH2fKsdnZtti2xLwPOy5E6z33RU1Ps+ISYu7PgpB0lu4/AgMDsWPHDpQrV07vmL2839dO9PtKRKLfnZzLrD6ESWj8+PEMgMGv8PBw9uuvvzIAbO3atdpjk5KSWP78+dmaNWsybX/atGlG26cv+qKv3P/15s0bs/oo6kPoi77oi/oP+qIv+srKlzl9iKR30N6+fYv3798b3KdYsWI4c+YMPvvsM5w+fRr16tXTbqtZsyaaNGmC2bNnCx7Lv3oVHR2NoKAgPHv2DB4eHpZ5ETYiNjYWgYGBeP78Odzd81Yxg7z82oG8/frTX3t0dLRZf/PUh2Sg3yN67Xn1tVP/YRn0u0SvPa++dnP6EEmLhBQoUAAFChQwul/VqlWhVCpx79497QAtNTUVT548QVBQUKbHKZVKKJVKvec9PDzy3C9JOnd3d3rteVRefv3mzvGgPkRfXv49oteeN1879R+WlZd/l+i1583Xbk4fYhNVHN3d3TFkyBBMmzYNgYGBCAoKwsKFCwEAXbp0kTg6QgghhBBCCLEMmxigAcDChQthZ2eH3r17IzExETVr1sRff/0FLy+aBEkIIYQQQgjJHWxmgGZvb49FixZh0aJFZrehVCoxbdo0wZSD3I5ee9587UDefv2Wfu30XtJrz2votVP/YSl5+fXTa6fXbiqbKLNPCCGEEEIIIXmBTSxUTQghhBBCCCF5AQ3QCCGEEEIIISSHoAEaIYQQQgghhOQQeXqAdujQIdSsWRNOTk7w8vJChw4dpA4pWyUnJ6Ny5cqQyWS4du2a1OFkiydPnmDAgAEoWrQonJycULx4cUybNg0pKSlSh2YVP/74I4oUKQJHR0fUrFkTFy9elDokq5s7dy6qV68ONzc3+Pj4oEOHDrh3755VzkV9SN7qQ/Ja/wFQH0J9iHVRH5K7+5C82H8AlulD8uwAbc+ePejduzf69euH69ev48yZM+jRo4fUYWWrcePGwd/fX+owstXdu3eh0Wiwdu1a3L59G0uWLMGaNWvw3XffSR2axe3YsQOjR4/GtGnT8M8//6BSpUpo3rw53rx5I3VoVnXq1CkMHToU58+fx9GjR5GamopmzZohPj7eouehPiTv9SF5qf8AqA+hPsT6qA/JvX1IXu0/AAv1ISwPSk1NZQEBAeznn3+WOhTJHD58mJUuXZrdvn2bAWBXr16VOiTJLFiwgBUtWlTqMCyuRo0abOjQodrHarWa+fv7s7lz50oYVfZ78+YNA8BOnTplsTapD6E+JF1u7T8Yoz4kHfUh1kF9SJrc2odQ/5HBnD4kT95B++eff/Dy5UvI5XJUqVIFfn5+aNmyJW7duiV1aNni9evXGDhwIDZv3gxnZ2epw5FcTEwMvL29pQ7DolJSUnDlyhU0adJE+5xcLkeTJk1w7tw5CSPLfjExMQBg0Z8x9SHUh6TLjf0HQH2ILupDLI/6kAy5sQ+h/oPLnD4kTw7Q/v33XwDA9OnTMXnyZBw8eBBeXl5o2LAhoqKiJI7Ouhhj6Nu3L4YMGYJq1apJHY7kHj58iBUrVmDw4MFSh2JR7969g1qtRsGCBTnPFyxYEJGRkRJFlf00Gg1GjRqFunXronz58hZrl/oQ6kOA3Nt/ANSHpKM+xPKoD8mQW/sQ6j8ymNuH5KoB2oQJEyCTyQx+pef/AsCkSZPQuXNnVK1aFaGhoZDJZNi1a5fEr8I8Yl/7ihUr8PHjR0ycOFHqkC1K7OvX9fLlS7Ro0QJdunTBwIEDJYqcWNPQoUNx69YtbN++XdT+1IfkzT6E+g+SGepDxKM+hPoQos/UPiSdnZXikcSYMWPQt29fg/sUK1YMERERAICyZctqn1cqlShWrBiePXtmzRCtRuxr/+uvv3Du3DkolUrOtmrVqqFnz57YuHGjFaO0HrGvP92rV6/QqFEj1KlTBz/99JOVo8t++fPnh0KhwOvXrznPv379Gr6+vhJFlb2GDRuGgwcP4u+//0ahQoVEHUN9SF+D++TWPoT6D33Uh1AfYirqQ/oa3Ccv9SHUf6Qxpw/RstaEuJwsJiaGKZVKzuTclJQU5uPjw9auXSthZNb39OlTdvPmTe3XH3/8wQCw3bt3s+fPn0sdXrZ48eIFK1GiBOvWrRtTqVRSh2M1NWrUYMOGDdM+VqvVLCAgINdP0NVoNGzo0KHM39+f3b9/3yrnoD4k7/YheaX/YIz6EOpDrIP6kLzRh+TV/oMxy/QheXKAxhhjI0eOZAEBAeyPP/5gd+/eZQMGDGA+Pj4sKipK6tCy1ePHj/NU9aQXL16w4OBg1rhxY/bixQsWERGh/cpttm/fzpRKJduwYQO7c+cOGzRoEPP09GSRkZFSh2ZVX331FfPw8GAnT57k/HwTEhIseh7qQ9LkpT4kL/UfjFEfQn1I9qA+JHf2IXm1/2DMMn1Inh2gpaSksDFjxjAfHx/m5ubGmjRpwm7duiV1WNkuL3WMjDEWGhrKAAh+5UYrVqxghQsXZg4ODqxGjRrs/PnzUodkdZn9fENDQy16HupD0uSlPiSv9R+MUR9CfYj1UR+Se/uQvNh/MGaZPkT2X0OEEEIIIYQQQiSWq6o4EkIIIYQQQogtowEaIYQQQgghhOQQNEAjhBBCCCGEkByCBmiEEEIIIYQQkkPQAI0QQgghhBBCcggaoBFCCCGEEEJIDkEDNEIIIYQQQgjJIWiARgghhBBCCCE5BA3Q8jjGGAYNGgRvb2/IZDJcu3ZN6pAIITaC+g9CSFZQH0KIMBqg5XG///47NmzYgIMHDyIiIgLly5eXOiQiQkREBHr06IGSJUtCLpdj1KhRUodE8iDqP2wT9R8kp6A+xDZRH2J9NEDL4x49egQ/Pz/UqVMHvr6+sLOzkzqkbKNWq6HRaHJ8m0KSk5NRoEABTJ48GZUqVbL6+QgRQv0H9R+EZAX1IdSHEGE0QMvD+vbti+HDh+PZs2eQyWQoUqQIihQpgqVLl3L2q1y5MqZPn659LJPJ8PPPP6Njx45wdnZGiRIlcODAAc4xt2/fRps2beDu7g43NzfUr18fjx49MhrTyZMnUaNGDbi4uMDT0xN169bF06dPtdt/++03VK9eHY6OjsifPz86duyo3fbhwweEhITAy8sLzs7OaNmyJR48eKDdvmHDBnh6euLAgQMoW7YslEolnj17huTkZIwdOxYBAQFwcXFBzZo1cfLkSVHvobltph8XFhaGEiVKwNHREc2bN8fz589FnbdIkSJYtmwZQkJC4OHhIeoYQiyJ+g/qPwjJCupDqA8hmaMBWh62bNkyzJgxA4UKFUJERAQuXbok+tjvv/8eXbt2xY0bN9CqVSv07NkTUVFRAICXL1/i008/hVKpxF9//YUrV66gf//+UKlUBttUqVTo0KEDGjRogBs3buDcuXMYNGgQZDIZAODQoUPo2LEjWrVqhatXr+L48eOoUaOG9vi+ffvi8uXLOHDgAM6dOwfGGFq1aoXU1FTtPgkJCZg/fz5+/vln3L59Gz4+Phg2bBjOnTuH7du348aNG+jSpQtatGjB6VgNMbfNhIQEzJ49G5s2bcKZM2cQHR2Nbt26if4ZECIl6j+o/yAkK6gPoT6EGMBInrZkyRIWFBSkfRwUFMSWLFnC2adSpUps2rRp2scA2OTJk7WP4+LiGAB25MgRxhhjEydOZEWLFmUpKSkmxfL+/XsGgJ08eVJwe+3atVnPnj0Ft92/f58BYGfOnNE+9+7dO+bk5MR27tzJGGMsNDSUAWDXrl3T7vP06VOmUCjYy5cvOe01btyYTZw40WjM5raZftz58+e128PDwxkAduHCBaPn1dWgQQM2cuRIk44hxBKo/6D+g5CsoD6E+hAiLO8k+xKLqlixovZ7FxcXuLu7482bNwCAa9euoX79+rC3tzepTW9vb/Tt2xfNmzdH06ZN0aRJE3Tt2hV+fn7adgcOHCh4bHh4OOzs7FCzZk3tc/ny5UOpUqUQHh6ufc7BwYET+82bN6FWq1GyZElOe8nJyciXL5+ouM1t087ODtWrV9c+Ll26NDw9PREeHs65KkdIbkP9RwbqPwgxHfUhGagPyZ1ogEY45HI5GGOc53Rvz6fjd3wymUw7MdXJycns84eGhmLEiBH4/fffsWPHDkyePBlHjx5FrVq1stRuOicnJ226AgDExcVBoVDgypUrUCgUnH1dXV0la5MQW0T9RwbqPwgxHfUhGagPydtoDhrhKFCgACIiIrSPY2Nj8fjxY5PaqFixIk6fPi3YqYpRpUoVTJw4EWfPnkX58uWxdetWbbvHjx8XPKZMmTJQqVS4cOGC9rn379/j3r17KFu2rMFzqdVqvHnzBsHBwZwvX19fs+MX06ZKpcLly5e1j+/du4fo6GiUKVPGrPMSIjXqP6j/ICQrqA+hPoSkoQEa4fjss8+wefNmnD59Gjdv3kSfPn30rsAYM2zYMMTGxqJbt264fPkyHjx4gM2bN+PevXsGj3v8+DEmTpyIc+fO4enTp/jzzz/x4MEDbWcxbdo0bNu2DdOmTUN4eDhu3ryJ+fPnAwBKlCiB9u3bY+DAgfjf//6H69evo1evXggICED79u0zPWfJkiXRs2dPhISEYO/evXj8+DEuXryIuXPn4tChQya9blPbtLe3x/Dhw3HhwgVcuXIFffv2Ra1atUSnFly7dg3Xrl1DXFwc3r59i2vXruHOnTtmxUyIJVD/Qf0HIVlBfQj1IeQ/Es+BIxLjT9CNiYlhX3zxBXN3d2eBgYFsw4YNghN09+3bx2nHw8ODhYaGah9fv36dNWvWjDk7OzM3NzdWv3599ujRI4OxREZGsg4dOjA/Pz/m4ODAgoKC2NSpU5lardbus2fPHla5cmXm4ODA8ufPzzp16qTdFhUVxXr37s08PDyYk5MTa968Obt//752e2hoKPPw8NA7b0pKCps6dSorUqQIs7e3Z35+fqxjx47sxo0bht+8LLSZftyePXtYsWLFmFKpZE2aNGFPnz41es50APS+dH+WhFgb9R/UfxCSFdSHUB9ChMkY4yX7EkKsbsOGDRg1ahSio6OlDoUQYmOo/yCEZAX1ITkfpTgSQgghhBBCSA5BAzSSrVxdXTP9On36tNTh6WnZsmWm8c6ZM8dq5y1Xrlym5/3111+tdt7/t3OHNhTDMBQAs0CISUD23yokoDOE/gVSKaD9NbijBmZPepJlyEx+nJEfsCdDzsiQ7zlx5K/GGLez3vsjb2yfdF1XWWttZxFRIuKVvXPO2w9UrbVSa31lL2QmP87ID9iTIWdkyPcUNAAAgCScOAIAACShoAEAACShoAEAACShoAEAACShoAEAACShoAEAACShoAEAACShoAEAACTxAwEZGVdldOfPAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 900x300 with 3 Axes>"
       ]
@@ -1150,12 +1183,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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RE5dXyHXKUvaswTccK6/Pc7NrAgCA6qOkea3SPhN99OhRORwOxcTEmMf8/f0VFRWlrKwsSVJWVpbq1KljBmhJiomJkYeHh7Zt22bWdO7c2QzQkmS323Xw4EGdO3fOrLn2Oldrrl6nJL0Up6CgQE6n02UDAABA1VdpQ7TD4ZAkBQUFuRwPCgoyxxwOhwIDA13Ga9SooXr16rnUFDfHtde4Uc2147fqpTjJycny9/c3t7CwsFt8agAAAFQFlTZE3wkSExOVl5dnbt999527WwIAAEAZKFWIfuyxx5Sbm3vdcafTqccee+x2e5IkBQcHS5JycnJcjufk5JhjwcHBOn36tMv4lStXdPbsWZea4ua49ho3qrl2/Fa9FMfb21t+fn4uGwAAAKq+UoXojRs36tKlS9cdv3jxov73f//3tpuSpPDwcAUHBysjI8M85nQ6tW3bNkVHR0uSoqOjlZubq+zsbLPmiy++UFFRkaKiosyazZs36/Lly2ZNenq6mjdvrrp165o1117nas3V65SkFwAAAFQfNawU79mzx/zzt99+6/I8cGFhodLS0nTPPfeUeL7z58/r8OHD5v7Ro0e1a9cu1atXT40aNdK4ceP06quvqlmzZgoPD9fUqVMVGhpqvsGjZcuW6tGjh4YPH66UlBRdvnxZo0eP1oABAxQaGipJevrppzVjxgwNGzZMCQkJ2rt3r+bNm6c33njDvO7YsWP16KOPavbs2erdu7c++OADffXVV+Zr8Gw22y17AQAAQPVhKURHRETIZrPJZrMV+9iGr6+v3nzzzRLP99VXX6lr167mfnx8vCQpNjZWS5cu1aRJk5Sfn68RI0YoNzdXjzzyiNLS0uTj42Oes2LFCo0ePVrdunWTh4eH+vXrp/nz55vj/v7++vzzzxUXF6fIyEgFBAQoKSnJ5V3Sv/71r7Vy5UpNmTJFL774opo1a6a1a9fqwQcfNGtK0gsAAACqB0vviT5+/LgMw9C9996r7du3q0GDBuaYl5eXAgMD5enpWS6N3gl4T3TJ8J5oAADgLiXNa5buRDdu3FiSVFRUdHvdAQAAAFWYpRB9rUOHDmnDhg06ffr0daE6KSnpthsDAAAAKqtSheh33nlHo0aNUkBAgIKDg2Wz2cwxm81GiAYAAMAdrVQh+tVXX9Wf//xnJSQklHU/AAAAQKVXqvdEnzt3Tk899VRZ9wIAAABUCaUK0U899ZQ+//zzsu4FAAAAqBJK9ThH06ZNNXXqVG3dulWtW7fWXXfd5TL+pz/9qUyaAwAAACqjUoXoRYsW6e6779amTZu0adMmlzGbzUaIBgAAwB2tVCH66NGjZd0HAAAAUGWU6ploAAAAoDor1Z3o55577qbjixcvLlUzAAAAQFVQqhB97tw5l/3Lly9r7969ys3N1WOPPVYmjQEAAACVValC9Jo1a647VlRUpFGjRum+++677aYAAACAyqzMnon28PBQfHy83njjjbKaEgAAAKiUyvQXC48cOaIrV66U5ZQAAABApVOqxzni4+Nd9g3D0KlTp7Ru3TrFxsaWSWMAAABAZVWqEP3111+77Ht4eKhBgwaaPXv2Ld/cAQAAAFR1pQrRGzZsKOs+AAAAgCqjVCH6qjNnzujgwYOSpObNm6tBgwZl0hQAAABQmZXqFwvz8/P13HPPKSQkRJ07d1bnzp0VGhqqYcOG6cKFC2XdIwAAAFCplCpEx8fHa9OmTfrHP/6h3Nxc5ebm6uOPP9amTZv0wgsvlHWPAAAAQKVSqsc5/vu//1sfffSRunTpYh7r1auXfH199fvf/14LFy4sq/4AAACASqdUd6IvXLigoKCg644HBgbyOAcAAADueKUK0dHR0Zo2bZouXrxoHvv55581Y8YMRUdHl1lzktSkSRPZbLbrtri4OElSly5drhsbOXKkyxwnTpxQ7969VbNmTQUGBmrixInX/UthNm7cqHbt2snb21tNmzbV0qVLr+tlwYIFatKkiXx8fBQVFaXt27eX6WcFAABA1VCqxznmzp2rHj16qGHDhmrbtq0kaffu3fL29tbnn39epg3u2LFDhYWF5v7evXv1m9/8Rk899ZR5bPjw4Xr55ZfN/Zo1a5p/LiwsVO/evRUcHKzMzEydOnVKgwcP1l133aX//M//lCQdPXpUvXv31siRI7VixQplZGTo+eefV0hIiOx2uyRp1apVio+PV0pKiqKiojR37lzZ7XYdPHhQgYGBZfqZAQAAULnZDMMwSnPihQsXtGLFCh04cECS1LJlSw0aNEi+vr5l2uAvjRs3TqmpqTp06JBsNpu6dOmiiIgIzZ07t9j6Tz/9VL/97W918uRJ8xGUlJQUJSQk6MyZM/Ly8lJCQoLWrVunvXv3mucNGDBAubm5SktLkyRFRUWpQ4cOeuuttyRJRUVFCgsL05gxYzR58uQS9e50OuXv76+8vDz5+fndxrdQcpETl1fIdcpS9qzBNxwrr89zs2sCAIDqo6R5rVR3opOTkxUUFKThw4e7HF+8eLHOnDmjhISE0kx7S5cuXdL777+v+Ph42Ww28/iKFSv0/vvvKzg4WH369NHUqVPNu9FZWVlq3bq1yzPcdrtdo0aN0r59+/SrX/1KWVlZiomJcbmW3W7XuHHjzOtmZ2crMTHRHPfw8FBMTIyysrJu2G9BQYEKCgrMfafTeVufHwAAAJVDqZ6J/utf/6oWLVpcd/yBBx5QSkrKbTd1I2vXrlVubq6GDBliHnv66af1/vvva8OGDUpMTNR7772nZ555xhx3OBzX/RLk1X2Hw3HTGqfTqZ9//lk//PCDCgsLi625OkdxkpOT5e/vb25hYWGl+twAAACoXEp1J9rhcCgkJOS64w0aNNCpU6duu6kb+dvf/qaePXsqNDTUPDZixAjzz61bt1ZISIi6deumI0eO6L777iu3XkoiMTFR8fHx5r7T6SRIAwAA3AFKdSc6LCxMW7Zsue74li1bXAJuWTp+/LjWr1+v559//qZ1UVFRkqTDhw9LkoKDg5WTk+NSc3U/ODj4pjV+fn7y9fVVQECAPD09i625OkdxvL295efn57IBAACg6itViB4+fLjGjRunJUuW6Pjx4zp+/LgWL16s8ePHX/ecdFlZsmSJAgMD1bt375vW7dq1S5LMO+XR0dH65ptvdPr0abMmPT1dfn5+atWqlVmTkZHhMk96err5uj4vLy9FRka61BQVFSkjI6PMX+kHAACAyq9Uj3NMnDhRP/74o/74xz/q0qVLkiQfHx8lJCS4/PJdWSkqKtKSJUsUGxurGjX+f8tHjhzRypUr1atXL9WvX1979uzR+PHj1blzZ7Vp00aS1L17d7Vq1UrPPvusZs6cKYfDoSlTpiguLk7e3t6SpJEjR+qtt97SpEmT9Nxzz+mLL77Qhx9+qHXr1pnXio+PV2xsrNq3b6+OHTtq7ty5ys/P19ChQ8v88wIAAKByK1WIttls+stf/qKpU6dq//798vX1VbNmzcxQWtbWr1+vEydO6LnnnnM57uXlpfXr15uBNiwsTP369dOUKVPMGk9PT6WmpmrUqFGKjo5WrVq1FBsb6/Je6fDwcK1bt07jx4/XvHnz1LBhQ7377rvmO6IlqX///jpz5oySkpLkcDgUERGhtLS0Yv/NjQAAALizlfo90bCO90SXDO+JBgAA7lLSvFaqZ6IBAACA6owQDQAAAFhEiAYAAAAsIkQDAAAAFhGiAQAAAIsI0QAAAIBFhGgAAADAIkI0AAAAYBEhGgAAALCIEA0AAABYRIgGAAAALCJEAwAAABYRogEAAACLCNEAAACARYRoAAAAwCJCNAAAAGARIRoAAACwiBANAAAAWESIBgAAACwiRAMAAAAWEaIBAAAAiwjRAAAAgEWVOkRPnz5dNpvNZWvRooU5fvHiRcXFxal+/fq6++671a9fP+Xk5LjMceLECfXu3Vs1a9ZUYGCgJk6cqCtXrrjUbNy4Ue3atZO3t7eaNm2qpUuXXtfLggUL1KRJE/n4+CgqKkrbt28vl88MAACAyq9Sh2hJeuCBB3Tq1Clz+/LLL82x8ePH6x//+IdWr16tTZs26eTJk/qP//gPc7ywsFC9e/fWpUuXlJmZqWXLlmnp0qVKSkoya44eParevXura9eu2rVrl8aNG6fnn39en332mVmzatUqxcfHa9q0adq5c6fatm0ru92u06dPV8yXAAAAgEql0ofoGjVqKDg42NwCAgIkSXl5efrb3/6mOXPm6LHHHlNkZKSWLFmizMxMbd26VZL0+eef69tvv9X777+viIgI9ezZU6+88ooWLFigS5cuSZJSUlIUHh6u2bNnq2XLlho9erSefPJJvfHGG2YPc+bM0fDhwzV06FC1atVKKSkpqlmzphYvXlzxXwgAAADcrtKH6EOHDik0NFT33nuvBg0apBMnTkiSsrOzdfnyZcXExJi1LVq0UKNGjZSVlSVJysrKUuvWrRUUFGTW2O12OZ1O7du3z6y5do6rNVfnuHTpkrKzs11qPDw8FBMTY9bcSEFBgZxOp8sGAACAqq9Sh+ioqCgtXbpUaWlpWrhwoY4ePapOnTrpp59+ksPhkJeXl+rUqeNyTlBQkBwOhyTJ4XC4BOir41fHblbjdDr1888/64cfflBhYWGxNVfnuJHk5GT5+/ubW1hYmOXvAAAAAJVPDXc3cDM9e/Y0/9ymTRtFRUWpcePG+vDDD+Xr6+vGzkomMTFR8fHx5r7T6SRIAwAA3AEq9Z3oX6pTp47uv/9+HT58WMHBwbp06ZJyc3NdanJychQcHCxJCg4Ovu5tHVf3b1Xj5+cnX19fBQQEyNPTs9iaq3PciLe3t/z8/Fw2AAAAVH1VKkSfP39eR44cUUhIiCIjI3XXXXcpIyPDHD948KBOnDih6OhoSVJ0dLS++eYbl7dopKeny8/PT61atTJrrp3jas3VOby8vBQZGelSU1RUpIyMDLMGAAAA1UulDtETJkzQpk2bdOzYMWVmZuqJJ56Qp6enBg4cKH9/fw0bNkzx8fHasGGDsrOzNXToUEVHR+uhhx6SJHXv3l2tWrXSs88+q927d+uzzz7TlClTFBcXJ29vb0nSyJEj9c9//lOTJk3SgQMH9Pbbb+vDDz/U+PHjzT7i4+P1zjvvaNmyZdq/f79GjRql/Px8DR061C3fCwAAANyrUj8T/f3332vgwIH68ccf1aBBAz3yyCPaunWrGjRoIEl644035OHhoX79+qmgoEB2u11vv/22eb6np6dSU1M1atQoRUdHq1atWoqNjdXLL79s1oSHh2vdunUaP3685s2bp4YNG+rdd9+V3W43a/r3768zZ84oKSlJDodDERERSktLu+6XDQEAAFA92AzDMNzdRHXhdDrl7++vvLy8Cns+OnLi8gq5TlnKnjX4hmPl9Xludk0AAFB9lDSvVerHOQAAAIDKiBANAAAAWESIBgAAACwiRAMAAAAWEaIBAAAAiwjRAAAAgEWEaAAAAMAiQjQAAABgESEaAAAAsIgQDQAAAFhEiAYAAAAsIkQDAAAAFhGiAQAAAIsI0QAAAIBFhGgAAADAIkI0AAAAYBEhGgAAALCIEA0AAABYRIgGAAAALCJEAwAAABYRogEAAACLCNEAAACARYRoAAAAwKJKHaKTk5PVoUMH1a5dW4GBgerbt68OHjzoUtOlSxfZbDaXbeTIkS41J06cUO/evVWzZk0FBgZq4sSJunLlikvNxo0b1a5dO3l7e6tp06ZaunTpdf0sWLBATZo0kY+Pj6KiorR9+/Yy/8wAAACo/Cp1iN60aZPi4uK0detWpaen6/Lly+revbvy8/Nd6oYPH65Tp06Z28yZM82xwsJC9e7dW5cuXVJmZqaWLVumpUuXKikpyaw5evSoevfura5du2rXrl0aN26cnn/+eX322WdmzapVqxQfH69p06Zp586datu2rex2u06fPl3+XwQAAAAqFZthGIa7myipM2fOKDAwUJs2bVLnzp0l/ftOdEREhObOnVvsOZ9++ql++9vf6uTJkwoKCpIkpaSkKCEhQWfOnJGXl5cSEhK0bt067d271zxvwIABys3NVVpamiQpKipKHTp00FtvvSVJKioqUlhYmMaMGaPJkyeXqH+n0yl/f3/l5eXJz8+vtF+DJZETl1fIdcpS9qzBNxwrr89zs2sCAIDqo6R5rVLfif6lvLw8SVK9evVcjq9YsUIBAQF68MEHlZiYqAsXLphjWVlZat26tRmgJclut8vpdGrfvn1mTUxMjMucdrtdWVlZkqRLly4pOzvbpcbDw0MxMTFmTXEKCgrkdDpdNgAAAFR9NdzdQEkVFRVp3Lhxevjhh/Xggw+ax59++mk1btxYoaGh2rNnjxISEnTw4EH9/e9/lyQ5HA6XAC3J3Hc4HDetcTqd+vnnn3Xu3DkVFhYWW3PgwIEb9pycnKwZM2aU/kMDAACgUqoyITouLk579+7Vl19+6XJ8xIgR5p9bt26tkJAQdevWTUeOHNF9991X0W26SExMVHx8vLnvdDoVFhbmxo4AAABQFqpEiB49erRSU1O1efNmNWzY8Ka1UVFRkqTDhw/rvvvuU3Bw8HVv0cjJyZEkBQcHm/959di1NX5+fvL19ZWnp6c8PT2Lrbk6R3G8vb3l7e1dsg8JAACAKqNSPxNtGIZGjx6tNWvW6IsvvlB4ePgtz9m1a5ckKSQkRJIUHR2tb775xuUtGunp6fLz81OrVq3MmoyMDJd50tPTFR0dLUny8vJSZGSkS01RUZEyMjLMGgAAAFQflfpOdFxcnFauXKmPP/5YtWvXNp9h9vf3l6+vr44cOaKVK1eqV69eql+/vvbs2aPx48erc+fOatOmjSSpe/fuatWqlZ599lnNnDlTDodDU6ZMUVxcnHmXeOTIkXrrrbc0adIkPffcc/riiy/04Ycfat26dWYv8fHxio2NVfv27dWxY0fNnTtX+fn5Gjp0aMV/MQAAAHCrSh2iFy5cKOnfr7G71pIlSzRkyBB5eXlp/fr1ZqANCwtTv379NGXKFLPW09NTqampGjVqlKKjo1WrVi3Fxsbq5ZdfNmvCw8O1bt06jR8/XvPmzVPDhg317rvvym63mzX9+/fXmTNnlJSUJIfDoYiICKWlpV33y4YAAAC481Wp90RXdbwnumR4TzQAAHCXO/I90QAAAEBlQIgGAAAALCJEAwAAABYRogEAAACLCNEAAACARYRoAAAAwCJCNAAAAGARIRoAAACwiBANAAAAWESIBgAAACwiRAMAAAAWEaIBAAAAiwjRAAAAgEWEaAAAAMAiQjQAAABgESEaAAAAsIgQDQAAAFhEiAYAAAAsquHuBoA7VeTE5SWuzZ41uBw7AQAAZY070QAAAIBFhGgAAADAIkI0AAAAYBHPRFu0YMECzZo1Sw6HQ23bttWbb76pjh07urstVEM3e+aaZ6wBAChfhGgLVq1apfj4eKWkpCgqKkpz586V3W7XwYMHFRgY6O72AEuKC+GEbwAASoYQbcGcOXM0fPhwDR06VJKUkpKidevWafHixZo8ebKbu0NZsvJmjWvdySGU0A0AwP9HiC6hS5cuKTs7W4mJieYxDw8PxcTEKCsrq9hzCgoKVFBQYO7n5eVJkpxOZ/k2e43Cgp8r7Fpl5WbfT3l9nl9es7TXuXYeK3NcPa/zlP+6Ze3mVwfecv5bzbf51YHFnm/1uy+u/pfXvNrvjWqKGwcAwF2u/m+bYRg3rbMZt6qAJOnkyZO65557lJmZqejoaPP4pEmTtGnTJm3btu26c6ZPn64ZM2ZUZJsAAAAoA999950aNmx4w3HuRJejxMRExcfHm/tFRUU6e/as6tevL5vNdl19hw4dtGPHjhLNXdLaW9XdbNzKmNPpVFhYmL777jv5+fndsq+KYuU7rah5rZ5bkvrbrbnRWHHHK+NaV5d1LkndnbzOUvms9e3O6Y6faf7urvh5+ZkuH5XtZ7pDhw7avn27fvrpJ4WGht60lhBdQgEBAfL09FROTo7L8ZycHAUHBxd7jre3t7y9vV2O1alT54bX8PT0LPF/sUtae6u6m42XZszPz69S/XBa+U4ral6r55ak/nZrbjR2s3Mq01pXl3UuSd2dvM5S+az17c7pjp9p/u6u+Hn5mS4fle1n2tPTU/7+/vL3979lLe+JLiEvLy9FRkYqIyPDPFZUVKSMjAyXxztuR1xcXJnX3qruZuOlHatMyqvP25nX6rklqb/dmhuNsc6Va51LUncnr7NUPr3e7pzu+Jnm7+6Kn5ef6fJR2X6mrZzLM9EWrFq1SrGxsfrrX/+qjh07au7cufrwww914MABBQUFubs9t3I6nfL391deXl6l+idclD3WunpgnasH1rn6YK3LHo9zWNC/f3+dOXNGSUlJcjgcioiIUFpaWrUP0NK/H12ZNm3adY+v4M7DWlcPrHP1wDpXH6x12eNONAAAAGARz0QDAAAAFhGiAQAAAIsI0QAAAIBFhGgAAADAIkI0AAAAYBEhGhUiNTVVzZs3V7NmzfTuu++6ux2UkyeeeEJ169bVk08+6e5WUE6+++47denSRa1atVKbNm20evVqd7eEcpKbm6v27dsrIiJCDz74oN555x13t4RydOHCBTVu3FgTJkxwdytVBq+4Q7m7cuWKWrVqpQ0bNsjf31+RkZHKzMxU/fr13d0aytjGjRv1008/admyZfroo4/c3Q7KwalTp5STk6OIiAg5HA5FRkbq//7v/1SrVi13t4YyVlhYqIKCAtWsWVP5+fl68MEH9dVXX/F39x3qpZde0uHDhxUWFqbXX3/d3e1UCdyJRrnbvn27HnjgAd1zzz26++671bNnT33++efubgvloEuXLqpdu7a720A5CgkJUUREhCQpODhYAQEBOnv2rHubQrnw9PRUzZo1JUkFBQUyDEPcd7szHTp0SAcOHFDPnj3d3UqVQojGLW3evFl9+vRRaGiobDab1q5de13NggUL1KRJE/n4+CgqKkrbt283x06ePKl77rnH3L/nnnv0r3/9qyJahwW3u86oGspynbOzs1VYWKiwsLBy7hqlURZrnZubq7Zt26phw4aaOHGiAgICKqh7lFRZrPOECROUnJxcQR3fOQjRuKX8/Hy1bdtWCxYsKHZ81apVio+P17Rp07Rz5061bdtWdrtdp0+fruBOcTtY5+qhrNb57NmzGjx4sBYtWlQRbaMUymKt69Spo927d+vo0aNauXKlcnJyKqp9lNDtrvPHH3+s+++/X/fff39Ftn1nMAALJBlr1qxxOdaxY0cjLi7O3C8sLDRCQ0ON5ORkwzAMY8uWLUbfvn3N8bFjxxorVqyokH5ROqVZ56s2bNhg9OvXryLaxG0q7TpfvHjR6NSpk7F8+fKKahW36XZ+pq8aNWqUsXr16vJsE7epNOs8efJko2HDhkbjxo2N+vXrG35+fsaMGTMqsu0qizvRuC2XLl1Sdna2YmJizGMeHh6KiYlRVlaWJKljx47au3ev/vWvf+n8+fP69NNPZbfb3dUySqEk64yqryTrbBiGhgwZoscee0zPPvusu1rFbSrJWufk5Oinn36SJOXl5Wnz5s1q3ry5W/pF6ZRknZOTk/Xdd9/p2LFjev311zV8+HAlJSW5q+UqpYa7G0DV9sMPP6iwsFBBQUEux4OCgnTgwAFJUo0aNTR79mx17dpVRUVFmjRpEr/dXcWUZJ0lKSYmRrt371Z+fr4aNmyo1atXKzo6uqLbRSmVZJ23bNmiVatWqU2bNuazl++9955at25d0e3iNpRkrY8fP64RI0aYv1A4ZswY1rmKKenf3SgdQjQqxOOPP67HH3/c3W2gnK1fv97dLaCcPfLIIyoqKnJ3G6gAHTt21K5du9zdBirQkCFD3N1ClcLjHLgtAQEB8vT0vO6XTXJychQcHOymrlDWWOfqgXWuPljr6oF1Ll+EaNwWLy8vRUZGKiMjwzxWVFSkjIwM/m/8OwjrXD2wztUHa109sM7li8c5cEvnz5/X4cOHzf2jR49q165dqlevnho1aqT4+HjFxsaqffv26tixo+bOnav8/HwNHTrUjV3DKta5emCdqw/Wunpgnd3IzW8HQRWwYcMGQ9J1W2xsrFnz5ptvGo0aNTK8vLyMjh07Glu3bnVfwygV1rl6YJ2rD9a6emCd3cdmGPw7PAEAAAAreCYaAAAAsIgQDQAAAFhEiAYAAAAsIkQDAAAAFhGiAQAAAIsI0QAAAIBFhGgAAADAIkI0AAAAYBEhGgAAALCIEA0Ad4AuXbpo3Lhx7m6jRIYMGaK+ffu6uw0AuC2EaAAAAMAiQjQA4DqGYejKlSvubgMAKi1CNADcIa5cuaLRo0fL399fAQEBmjp1qgzDkCS99957at++vWrXrq3g4GA9/fTTOn36tHnuxo0bZbPZ9OmnnyoyMlLe3t768ssvVVRUpJkzZ6pp06by9vZWo0aN9Oc//9k875tvvtFjjz0mX19f1a9fXyNGjND58+fN8cLCQsXHx6tOnTqqX7++Jk2aZPZ0VVFRkZKTkxUeHi5fX1+1bdtWH330kTl+7tw5DRo0SA0aNJCvr6+aNWumJUuWlNfXCAAlQogGgDvEsmXLVKNGDW3fvl3z5s3TnDlz9O6770qSLl++rFdeeUW7d+/W2rVrdezYMQ0ZMuS6OSZPnqzXXntN+/fvV5s2bZSYmKjXXntNU6dO1bfffquVK1cqKChIkpSfny+73a66detqx44dWr16tdavX6/Ro0eb882ePVtLly7V4sWL9eWXX+rs2bNas2aNyzWTk5O1fPlypaSkaN++fRo/fryeeeYZbdq0SZLMa3/66afav3+/Fi5cqICAgHL6FgGghAwAQJX36KOPGi1btjSKiorMYwkJCUbLli2Lrd+xY4chyfjpp58MwzCMDRs2GJKMtWvXmjVOp9Pw9vY23nnnnWLnWLRokVG3bl3j/Pnz5rF169YZHh4ehsPhMAzDMEJCQoyZM2ea45cvXzYaNmxo/O53vzMMwzAuXrxo1KxZ08jMzHSZe9iwYcbAgQMNwzCMPn36GEOHDi3pVwEAFYI70QBwh3jooYdks9nM/ejoaB06dEiFhYXKzs5Wnz591KhRI9WuXVuPPvqoJOnEiRMuc7Rv39788/79+1VQUKBu3boVe739+/erbdu2qlWrlnns4YcfVlFRkQ4ePKi8vDydOnVKUVFR5niNGjVcrnH48GFduHBBv/nNb3T33Xeb2/Lly3XkyBFJ0qhRo/TBBx8oIiJCkyZNUmZm5m18SwBQNmq4uwEAQPm6ePGi7Ha77Ha7VqxYoQYNGujEiROy2+26dOmSS+21gdjX17fce7v6/PS6det0zz33uIx5e3tLknr27Knjx4/rk08+UXp6urp166a4uDi9/vrr5d4fANwId6IB4A6xbds2l/2tW7eqWbNmOnDggH788Ue99tpr6tSpk1q0aOHyS4U30qxZM/n6+iojI6PY8ZYtW2r37t3Kz883j23ZskUeHh5q3ry5/P39FRIS4tLXlStXlJ2dbe63atVK3t7eOnHihJo2beqyhYWFmXUNGjRQbGys3n//fc2dO1eLFi0q8fcCAOWBO9EAcIc4ceKE4uPj9Yc//EE7d+7Um2++qdmzZ6tRo0by8vLSm2++qZEjR2rv3r165ZVXbjmfj4+PEhISNGnSJHl5eenhhx/WmTNntG/fPg0bNkyDBg3StGnTFBsbq+nTp+vMmTMaM2aMnn32WfOXD8eOHavXXntNzZo1U4sWLTRnzhzl5uaa16hdu7YmTJig8ePHq6ioSI888ojy8vK0ZcsW+fn5KTY2VklJSYqMjNQDDzyggoICpaamqmXLluX1NQJAiRCiAeAOMXjwYP3888/q2LGjPD09NXbsWI0YMUI2m01Lly7Viy++qPnz56tdu3Z6/fXX9fjjj99yzqlTp6pGjRpKSkrSyZMnFRISopEjR0qSatasqc8++0xjx45Vhw4dVLNmTfXr109z5swxz3/hhRd06tQpxcbGysPDQ88995yeeOIJ5eXlmTWvvPKKGjRooOTkZP3zn/9UnTp11K5dO7344ouSJC8vLyUmJurYsWPy9fVVp06d9MEHH5TxtwcA1tgM4xcv7AQAAABwUzwTDQAAAFhEiAYAAAAsIkQDAAAAFhGiAQAAAIsI0QAAAIBFhGgAAADAIkI0AAAAYBEhGgAAALCIEA0AAABYRIgGAAAALCJEAwAAABb9Py5/aqCkFGLYAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 800x300 with 1 Axes>"
       ]
@@ -1181,12 +1214,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x300 with 1 Axes>"
       ]
@@ -1210,7 +1243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1219,13 +1252,13 @@
        "<Axes: xlabel='condition', ylabel='count'>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -1248,7 +1281,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1389,7 +1422,7 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
-       "      <td>-4.452255</td>\n",
+       "      <td>-3.500000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1430,11 +1463,11 @@
        "5      19832    0.000000     1.0  \n",
        "6          2   -1.731675     1.0  \n",
        "7          2   -1.462176     1.0  \n",
-       "9          2   -4.452255     1.0  \n",
+       "9          2   -3.500000     1.0  \n",
        "10         2   -1.553395     1.0  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1453,7 +1486,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1490,63 +1523,63 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5027212</td>\n",
-       "      <td>4967837</td>\n",
+       "      <th>1</th>\n",
+       "      <td>5955236</td>\n",
+       "      <td>3000775</td>\n",
        "      <td></td>\n",
        "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
+       "      <td>2</td>\n",
        "      <td>0</td>\n",
-       "      <td>10176</td>\n",
+       "      <td>8516</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13479201</td>\n",
-       "      <td>16707349</td>\n",
+       "      <th>3</th>\n",
+       "      <td>15250884</td>\n",
+       "      <td>19953602</td>\n",
        "      <td></td>\n",
        "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
+       "      <td>2</td>\n",
        "      <td>0</td>\n",
-       "      <td>24216</td>\n",
+       "      <td>22495</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>15195250</td>\n",
-       "      <td>12396402</td>\n",
+       "      <th>5</th>\n",
+       "      <td>18959708</td>\n",
+       "      <td>24113895</td>\n",
        "      <td></td>\n",
        "      <td>Omicron_BA2</td>\n",
-       "      <td>1</td>\n",
+       "      <td>2</td>\n",
        "      <td>0</td>\n",
-       "      <td>21020</td>\n",
+       "      <td>19832</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>978</td>\n",
-       "      <td>291</td>\n",
+       "      <th>7</th>\n",
+       "      <td>853</td>\n",
+       "      <td>156</td>\n",
        "      <td>A1015D</td>\n",
        "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
+       "      <td>2</td>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
-       "      <td>-1.731675</td>\n",
+       "      <td>-1.462176</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>644</td>\n",
-       "      <td>24</td>\n",
-       "      <td>A1015D</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
+       "      <th>14</th>\n",
+       "      <td>3757</td>\n",
+       "      <td>2030</td>\n",
+       "      <td>A1015S</td>\n",
+       "      <td>Delta</td>\n",
        "      <td>2</td>\n",
-       "      <td>-4.452255</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0.100722</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1562,107 +1595,120 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>335503</th>\n",
-       "      <td>627</td>\n",
-       "      <td>13</td>\n",
-       "      <td>Y91T N137T F375T F562L Q804H</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
+       "      <th>335513</th>\n",
+       "      <td>633</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Y91V E132Q Q675L A845E G1167D</td>\n",
+       "      <td>Omicron_BA1</td>\n",
        "      <td>2</td>\n",
-       "      <td>-5.298183</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335506</th>\n",
-       "      <td>962</td>\n",
-       "      <td>63</td>\n",
-       "      <td>Y91T S98T A845S L1193P</td>\n",
-       "      <td>Omicron_BA2</td>\n",
+       "      <td>5</td>\n",
        "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.638914</td>\n",
+       "      <td>-3.500000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>335507</th>\n",
-       "      <td>315</td>\n",
-       "      <td>45</td>\n",
-       "      <td>Y91T T315I K378M</td>\n",
+       "      <th>335514</th>\n",
+       "      <td>497</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Y91V H505N I1216T</td>\n",
        "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
+       "      <td>2</td>\n",
        "      <td>3</td>\n",
        "      <td>1</td>\n",
-       "      <td>-3.117103</td>\n",
+       "      <td>-3.500000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>335509</th>\n",
-       "      <td>229</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Y91T T874I</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
+       "      <th>335517</th>\n",
+       "      <td>310</td>\n",
+       "      <td>26</td>\n",
+       "      <td>Y91V S112N M177K L335P N405A C671R K679R T859A...</td>\n",
+       "      <td>Omicron_BA2</td>\n",
        "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-8.148952</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.500000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>335510</th>\n",
-       "      <td>780</td>\n",
-       "      <td>11</td>\n",
-       "      <td>Y91V</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-6.457647</td>\n",
+       "      <th>335519</th>\n",
+       "      <td>499</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V S98Y D138* Y144V N280D N405P P463S S982R ...</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.160077</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>335521</th>\n",
+       "      <td>888</td>\n",
+       "      <td>71</td>\n",
+       "      <td>Y91V T883I</td>\n",
+       "      <td>Omicron_BA2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-3.500000</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>153084 rows × 9 columns</p>\n",
+       "<p>142673 rows × 9 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        pre_count  post_count              aa_substitutions    condition  \\\n",
-       "0         5027212     4967837                                      Delta   \n",
-       "2        13479201    16707349                                Omicron_BA1   \n",
-       "4        15195250    12396402                                Omicron_BA2   \n",
-       "6             978         291                        A1015D        Delta   \n",
-       "9             644          24                        A1015D  Omicron_BA2   \n",
-       "...           ...         ...                           ...          ...   \n",
-       "335503        627          13  Y91T N137T F375T F562L Q804H  Omicron_BA2   \n",
-       "335506        962          63        Y91T S98T A845S L1193P  Omicron_BA2   \n",
-       "335507        315          45              Y91T T315I K378M  Omicron_BA1   \n",
-       "335509        229           1                    Y91T T874I  Omicron_BA1   \n",
-       "335510        780          11                          Y91V  Omicron_BA1   \n",
+       "        pre_count  post_count  \\\n",
+       "1         5955236     3000775   \n",
+       "3        15250884    19953602   \n",
+       "5        18959708    24113895   \n",
+       "7             853         156   \n",
+       "14           3757        2030   \n",
+       "...           ...         ...   \n",
+       "335513        633           8   \n",
+       "335514        497           7   \n",
+       "335517        310          26   \n",
+       "335519        499          71   \n",
+       "335521        888          71   \n",
+       "\n",
+       "                                         aa_substitutions    condition  \\\n",
+       "1                                                                Delta   \n",
+       "3                                                          Omicron_BA1   \n",
+       "5                                                          Omicron_BA2   \n",
+       "7                                                  A1015D        Delta   \n",
+       "14                                                 A1015S        Delta   \n",
+       "...                                                   ...          ...   \n",
+       "335513                      Y91V E132Q Q675L A845E G1167D  Omicron_BA1   \n",
+       "335514                                  Y91V H505N I1216T  Omicron_BA1   \n",
+       "335517  Y91V S112N M177K L335P N405A C671R K679R T859A...  Omicron_BA2   \n",
+       "335519  Y91V S98Y D138* Y144V N280D N405P P463S S982R ...  Omicron_BA2   \n",
+       "335521                                         Y91V T883I  Omicron_BA2   \n",
        "\n",
        "        replicate  n_subs  barcodes  func_score  weight  \n",
-       "0               1       0     10176    0.000000     1.0  \n",
-       "2               1       0     24216    0.000000     1.0  \n",
-       "4               1       0     21020    0.000000     1.0  \n",
-       "6               1       1         2   -1.731675     1.0  \n",
-       "9               1       1         2   -4.452255     1.0  \n",
+       "1               2       0      8516    0.000000     1.0  \n",
+       "3               2       0     22495    0.000000     1.0  \n",
+       "5               2       0     19832    0.000000     1.0  \n",
+       "7               2       1         2   -1.462176     1.0  \n",
+       "14              2       1         6    0.100722     1.0  \n",
        "...           ...     ...       ...         ...     ...  \n",
-       "335503          1       5         2   -5.298183     1.0  \n",
-       "335506          1       4         2   -3.638914     1.0  \n",
-       "335507          1       3         1   -3.117103     1.0  \n",
-       "335509          1       2         1   -8.148952     1.0  \n",
-       "335510          1       1         3   -6.457647     1.0  \n",
+       "335513          2       5         1   -3.500000     1.0  \n",
+       "335514          2       3         1   -3.500000     1.0  \n",
+       "335517          2       9         2   -3.500000     1.0  \n",
+       "335519          2       9         2   -3.160077     1.0  \n",
+       "335521          2       2         2   -3.500000     1.0  \n",
        "\n",
-       "[153084 rows x 9 columns]"
+       "[142673 rows x 9 columns]"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "func_scores_collapsed_df.query(\"replicate == 1\", inplace=True)\n",
+    "func_scores_collapsed_df.query(\"replicate == 2\", inplace=True)\n",
     "func_scores_collapsed_df"
    ]
   },
@@ -1675,20 +1721,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/wsdewitt/miniconda3/envs/multidms/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n",
-      "/Users/wsdewitt/miniconda3/envs/multidms/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n",
-      "/Users/wsdewitt/miniconda3/envs/multidms/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n",
-      "/Users/wsdewitt/miniconda3/envs/multidms/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
      ]
     },
@@ -1698,7 +1744,7 @@
        "Data(rep-1)"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1721,27 +1767,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'X': {'Delta': BCOO(int8[27449, 10615], nse=891669),\n",
-       "  'Omicron_BA1': BCOO(int8[59382, 10615], nse=154708),\n",
-       "  'Omicron_BA2': BCOO(int8[53704, 10615], nse=895779)},\n",
-       " 'y': {'Delta': Array([ 0.        , -1.73167462, -1.55339474, ..., -1.94029885,\n",
-       "         -4.10472485, -2.67718849], dtype=float64),\n",
-       "  'Omicron_BA1': Array([ 0.        , -3.4956144 , -0.46983596, ..., -3.11710278,\n",
-       "         -8.14895164, -6.45764655], dtype=float64),\n",
-       "  'Omicron_BA2': Array([ 0.        , -4.45225541, -0.42229756, ..., -2.01372956,\n",
-       "         -5.29818295, -3.63891419], dtype=float64)},\n",
+       "{'X': {'Delta': BCOO(int8[26743, 10722], nse=869823),\n",
+       "  'Omicron_BA1': BCOO(int8[53209, 10722], nse=137253),\n",
+       "  'Omicron_BA2': BCOO(int8[51122, 10722], nse=853243)},\n",
+       " 'y': {'Delta': Array([ 0.        , -1.46217618,  0.10072214, ..., -0.95950872,\n",
+       "         -3.0166309 , -3.39281081], dtype=float64),\n",
+       "  'Omicron_BA1': Array([ 0.        , -0.1441993 ,  0.15470144, ..., -3.5       ,\n",
+       "         -3.5       , -3.5       ], dtype=float64),\n",
+       "  'Omicron_BA2': Array([ 0.        , -0.04110356, -0.62651354, ..., -3.3366282 ,\n",
+       "         -3.5       , -3.5       ], dtype=float64)},\n",
        " 'w': {'Delta': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
        "  'Omicron_BA1': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
        "  'Omicron_BA2': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64)}}"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1759,12 +1805,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x300 with 2 Axes>"
       ]
@@ -1798,7 +1844,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1807,7 +1853,7 @@
        "('Omicron_BA1', 1)"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1843,7 +1889,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1867,7 +1913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1893,7 +1939,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1923,14 +1969,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Delta\n",
+      "Delta\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "Omicron_BA1\n",
       "Omicron_BA2\n"
      ]
@@ -1938,21 +1990,21 @@
     {
      "data": {
       "text/plain": [
-       "{'X': {'Delta': BCOO(int8[27449, 10615], nse=78891),\n",
-       "  'Omicron_BA1': BCOO(int8[59382, 10615], nse=154708),\n",
-       "  'Omicron_BA2': BCOO(int8[53704, 10615], nse=165797)},\n",
-       " 'y': {'Delta': Array([ 0.        , -1.73167462, -1.55339474, ..., -1.94029885,\n",
-       "         -4.10472485, -2.67718849], dtype=float64),\n",
-       "  'Omicron_BA1': Array([ 0.        , -3.4956144 , -0.46983596, ..., -3.11710278,\n",
-       "         -8.14895164, -6.45764655], dtype=float64),\n",
-       "  'Omicron_BA2': Array([ 0.        , -4.45225541, -0.42229756, ..., -2.01372956,\n",
-       "         -5.29818295, -3.63891419], dtype=float64)},\n",
+       "{'X': {'Delta': BCOO(int8[26743, 10722], nse=78045),\n",
+       "  'Omicron_BA1': BCOO(int8[53209, 10722], nse=137253),\n",
+       "  'Omicron_BA2': BCOO(int8[51122, 10722], nse=158121)},\n",
+       " 'y': {'Delta': Array([ 0.        , -1.46217618,  0.10072214, ..., -0.95950872,\n",
+       "         -3.0166309 , -3.39281081], dtype=float64),\n",
+       "  'Omicron_BA1': Array([ 0.        , -0.1441993 ,  0.15470144, ..., -3.5       ,\n",
+       "         -3.5       , -3.5       ], dtype=float64),\n",
+       "  'Omicron_BA2': Array([ 0.        , -0.04110356, -0.62651354, ..., -3.3366282 ,\n",
+       "         -3.5       , -3.5       ], dtype=float64)},\n",
        " 'w': {'Delta': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
        "  'Omicron_BA1': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
        "  'Omicron_BA2': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64)}}"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2000,12 +2052,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -2055,7 +2107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2175,7 +2227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2186,7 +2238,7 @@
        "       [ 0., -1.,  1.]], dtype=float64)"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2207,7 +2259,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2218,7 +2270,7 @@
        "       [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]],      dtype=int64, weak_type=True)"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2231,16 +2283,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3.0000000000000013"
+       "3.0000000000000036"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2261,7 +2313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2302,7 +2354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2315,7 +2367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2332,7 +2384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -2341,18 +2393,18 @@
        "{'Δ': Array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.]], dtype=float64),\n",
-       " 'β': {'Delta': Array([1.42313303e-05, 2.13469954e-05, 2.13469954e-05, ...,\n",
-       "         2.18575458e-05, 5.32736123e-05, 1.26156672e-05], dtype=float64),\n",
-       "  'Omicron_BA1': Array([ 0.00000000e+00,  2.13469954e-05,  0.00000000e+00, ...,\n",
-       "         -3.79166571e-06,  1.33131281e-04,  1.12488034e-06], dtype=float64),\n",
-       "  'Omicron_BA2': Array([0.00000000e+00, 3.55783257e-05, 0.00000000e+00, ...,\n",
-       "         2.35790239e-04, 1.40944253e-04, 0.00000000e+00], dtype=float64)},\n",
-       " 'β0': {'Delta': Array(0.07840502, dtype=float64, weak_type=True),\n",
-       "  'Omicron_BA1': Array(0.21032275, dtype=float64, weak_type=True),\n",
-       "  'Omicron_BA2': Array(0.23074362, dtype=float64, weak_type=True)}}"
+       " 'β': {'Delta': Array([1.47372575e-05, 7.62927812e-05, 3.81463906e-05, ...,\n",
+       "         5.22781722e-05, 1.85914083e-05, 1.57605936e-05], dtype=float64),\n",
+       "  'Omicron_BA1': Array([ 0.00000000e+00,  3.05171125e-05,  0.00000000e+00, ...,\n",
+       "         -2.77650030e-05,  1.38535009e-04,  0.00000000e+00], dtype=float64),\n",
+       "  'Omicron_BA2': Array([0.00000000e+00, 6.10342249e-05, 0.00000000e+00, ...,\n",
+       "         2.96050491e-04, 1.45183224e-04, 0.00000000e+00], dtype=float64)},\n",
+       " 'β0': {'Delta': Array(0.0956391, dtype=float64, weak_type=True),\n",
+       "  'Omicron_BA1': Array(0.22288956, dtype=float64, weak_type=True),\n",
+       "  'Omicron_BA2': Array(0.25063313, dtype=float64, weak_type=True)}}"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2363,7 +2415,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -2380,7 +2432,7 @@
        "  'Omicron_BA2': Array(0., dtype=float64)}}"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2391,16 +2443,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Array(1.24439625, dtype=float64)"
+       "Array(1.17131091, dtype=float64)"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2411,7 +2463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2431,11 +2483,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
-    "l1reg = 4e-5\n",
+    "l1reg = 0.0\n",
     "admm_niter = 50\n",
     "admm_τ = 1.0\n",
     "admm_μ = 0.99 * admm_τ / eig\n",
@@ -2447,216 +2499,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Iteration 10, objective=1.06e+00, stepsize=1.60e+01, error=2.41e-02, shift sparsity = [0.81 1.00 0.82], duality gap = 1.13e-12\n",
-      "Iteration 20, objective=1.03e+00, stepsize=3.20e+01, error=1.99e-02, shift sparsity = [0.82 1.00 0.83], duality gap = 2.25e-12\n",
-      "Iteration 30, objective=9.86e-01, stepsize=1.60e+01, error=3.95e-02, shift sparsity = [0.82 1.00 0.84], duality gap = 1.15e-12\n",
-      "Iteration 40, objective=9.46e-01, stepsize=8.00e+00, error=9.34e-02, shift sparsity = [0.83 1.00 0.84], duality gap = 6.02e-13\n",
-      "Iteration 50, objective=9.02e-01, stepsize=6.40e+01, error=1.67e-02, shift sparsity = [0.84 1.00 0.85], duality gap = 4.67e-12\n",
-      "Iteration 60, objective=8.58e-01, stepsize=1.60e+01, error=6.45e-02, shift sparsity = [0.84 1.00 0.85], duality gap = 1.18e-12\n",
-      "Iteration 70, objective=8.23e-01, stepsize=8.00e+00, error=1.12e-01, shift sparsity = [0.84 1.00 0.85], duality gap = 6.43e-13\n",
-      "Iteration 80, objective=7.96e-01, stepsize=1.60e+01, error=5.06e-02, shift sparsity = [0.85 1.00 0.85], duality gap = 1.21e-12\n",
-      "Iteration 90, objective=7.74e-01, stepsize=1.60e+01, error=4.68e-02, shift sparsity = [0.85 1.00 0.85], duality gap = 1.25e-12\n",
-      "Iteration 100, objective=7.55e-01, stepsize=8.00e+00, error=8.81e-02, shift sparsity = [0.86 1.00 0.86], duality gap = 6.94e-13\n",
-      "Iteration 110, objective=7.38e-01, stepsize=8.00e+00, error=8.46e-02, shift sparsity = [0.86 1.00 0.86], duality gap = 7.36e-13\n",
-      "Iteration 120, objective=7.23e-01, stepsize=1.60e+01, error=4.11e-02, shift sparsity = [0.87 1.00 0.87], duality gap = 1.27e-12\n",
-      "Iteration 130, objective=7.09e-01, stepsize=8.00e+00, error=8.25e-02, shift sparsity = [0.87 1.00 0.87], duality gap = 1.13e-12\n",
-      "Iteration 140, objective=6.96e-01, stepsize=1.60e+01, error=4.14e-02, shift sparsity = [0.88 1.00 0.87], duality gap = 1.42e-12\n",
-      "Iteration 150, objective=6.83e-01, stepsize=8.00e+00, error=8.45e-02, shift sparsity = [0.88 1.00 0.88], duality gap = 6.40e-13\n",
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-      "Iteration 1410, objective=5.35e-01, stepsize=1.60e+01, error=8.78e-03, shift sparsity = [0.95 1.00 0.93], duality gap = 1.12e-12\n",
-      "Iteration 1420, objective=5.35e-01, stepsize=8.00e+00, error=1.74e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 7.55e-13\n",
-      "Iteration 1430, objective=5.35e-01, stepsize=1.60e+01, error=8.67e-03, shift sparsity = [0.95 1.00 0.93], duality gap = 1.12e-12\n",
-      "Iteration 1440, objective=5.35e-01, stepsize=8.00e+00, error=1.72e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 7.78e-13\n",
-      "Iteration 1450, objective=5.35e-01, stepsize=1.60e+01, error=8.55e-03, shift sparsity = [0.95 1.00 0.93], duality gap = 1.11e-12\n",
-      "Iteration 1460, objective=5.35e-01, stepsize=8.00e+00, error=1.70e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 8.33e-13\n",
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-      "Iteration 1930, objective=5.33e-01, stepsize=8.00e+00, error=1.27e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 7.17e-13\n",
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-      "Iteration 1950, objective=5.33e-01, stepsize=8.00e+00, error=1.26e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 6.07e-13\n",
-      "Iteration 1960, objective=5.33e-01, stepsize=8.00e+00, error=1.25e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 7.37e-13\n",
-      "Iteration 1970, objective=5.33e-01, stepsize=8.00e+00, error=1.25e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 7.10e-13\n",
-      "Iteration 1980, objective=5.33e-01, stepsize=8.00e+00, error=1.24e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 8.26e-13\n",
-      "Iteration 1990, objective=5.33e-01, stepsize=1.60e+01, error=6.19e-03, shift sparsity = [0.95 1.00 0.93], duality gap = 1.30e-12\n",
-      "Iteration 2000, objective=5.33e-01, stepsize=8.00e+00, error=1.23e-02, shift sparsity = [0.95 1.00 0.93], duality gap = 8.19e-13\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "iter = []\n",
     "stepsize = []\n",
@@ -2677,9 +2522,1641 @@
     "    )\n",
     "\n",
     "# update = jax.jit(solver.update)\n",
-    "update = solver.update\n",
+    "update = solver.update\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Iteration 10, objective=9.26e-01, stepsize=1.60e+01, error=3.71e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 20, objective=8.66e-01, stepsize=1.60e+01, error=5.42e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 30, objective=8.01e-01, stepsize=1.60e+01, error=6.37e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 40, objective=7.37e-01, stepsize=1.60e+01, error=7.16e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 50, objective=6.77e-01, stepsize=3.20e+01, error=3.96e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 60, objective=6.19e-01, stepsize=1.60e+01, error=8.14e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 70, objective=5.70e-01, stepsize=8.00e+00, error=1.56e-01, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 80, objective=5.33e-01, stepsize=1.60e+01, error=7.07e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 90, objective=5.04e-01, stepsize=8.00e+00, error=1.32e-01, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 100, objective=4.78e-01, stepsize=1.60e+01, error=6.37e-02, shift sparsity = [0.00 1.00 0.00], duality gap = 0.00e+00\n",
+      "Iteration 110, objective=4.57e-01, stepsize=8.00e+00, error=1.19e-01, shift sparsity = [9.33e-04 1.00e+00 9.33e-04], duality gap = 0.00e+00\n",
+      "Iteration 120, objective=4.40e-01, stepsize=8.00e+00, error=1.13e-01, shift sparsity = [9.33e-04 1.00e+00 9.33e-04], duality gap = 0.00e+00\n",
+      "Iteration 130, objective=4.25e-01, stepsize=8.00e+00, error=1.07e-01, shift sparsity = [8.39e-04 1.00e+00 8.39e-04], duality gap = 0.00e+00\n",
+      "Iteration 140, objective=4.12e-01, stepsize=1.60e+01, error=5.16e-02, shift sparsity = [8.39e-04 1.00e+00 8.39e-04], duality gap = 0.00e+00\n",
+      "Iteration 150, objective=4.00e-01, stepsize=1.60e+01, error=4.97e-02, shift sparsity = [8.39e-04 1.00e+00 8.39e-04], duality gap = 0.00e+00\n",
+      "Iteration 160, objective=3.90e-01, stepsize=8.00e+00, error=9.44e-02, shift sparsity = [8.39e-04 1.00e+00 8.39e-04], duality gap = 0.00e+00\n",
+      "Iteration 170, objective=3.82e-01, stepsize=8.00e+00, error=9.20e-02, shift sparsity = [7.46e-04 1.00e+00 7.46e-04], duality gap = 0.00e+00\n",
+      "Iteration 180, objective=3.74e-01, stepsize=8.00e+00, error=8.84e-02, shift sparsity = [5.60e-04 1.00e+00 5.60e-04], duality gap = 0.00e+00\n",
+      "Iteration 190, objective=3.67e-01, stepsize=4.00e+00, error=1.71e-01, shift sparsity = [5.60e-04 1.00e+00 5.60e-04], duality gap = 0.00e+00\n",
+      "Iteration 200, objective=3.60e-01, stepsize=8.00e+00, error=8.32e-02, shift sparsity = [5.60e-04 1.00e+00 5.60e-04], duality gap = 0.00e+00\n",
+      "Iteration 210, objective=3.55e-01, stepsize=8.00e+00, error=8.09e-02, shift sparsity = [5.60e-04 1.00e+00 5.60e-04], duality gap = 0.00e+00\n",
+      "Iteration 220, objective=3.50e-01, stepsize=1.60e+01, error=3.97e-02, shift sparsity = [5.60e-04 1.00e+00 5.60e-04], duality gap = 0.00e+00\n",
+      "Iteration 230, objective=3.45e-01, stepsize=4.00e+00, error=1.54e-01, shift sparsity = [4.66e-04 1.00e+00 4.66e-04], duality gap = 0.00e+00\n",
+      "Iteration 240, objective=3.40e-01, stepsize=8.00e+00, error=7.50e-02, shift sparsity = [4.66e-04 1.00e+00 4.66e-04], duality gap = 0.00e+00\n",
+      "Iteration 250, objective=3.37e-01, stepsize=8.00e+00, error=7.33e-02, shift sparsity = [4.66e-04 1.00e+00 4.66e-04], duality gap = 0.00e+00\n",
+      "Iteration 260, objective=3.33e-01, stepsize=1.60e+01, error=3.62e-02, shift sparsity = [4.66e-04 1.00e+00 4.66e-04], duality gap = 0.00e+00\n",
+      "Iteration 270, objective=3.29e-01, stepsize=4.00e+00, error=1.42e-01, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 280, objective=3.26e-01, stepsize=4.00e+00, error=1.39e-01, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 290, objective=3.23e-01, stepsize=4.00e+00, error=1.36e-01, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 300, objective=3.21e-01, stepsize=4.00e+00, error=1.34e-01, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 310, objective=3.18e-01, stepsize=1.60e+01, error=3.31e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 320, objective=3.16e-01, stepsize=1.60e+01, error=3.25e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 330, objective=3.14e-01, stepsize=1.60e+01, error=3.19e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 340, objective=3.12e-01, stepsize=8.00e+00, error=6.24e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 350, objective=3.10e-01, stepsize=8.00e+00, error=6.14e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 360, objective=3.08e-01, stepsize=8.00e+00, error=6.05e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 370, objective=3.06e-01, stepsize=8.00e+00, error=5.96e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 380, objective=3.05e-01, stepsize=1.60e+01, error=2.95e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 390, objective=3.03e-01, stepsize=8.00e+00, error=5.77e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 400, objective=3.02e-01, stepsize=8.00e+00, error=5.70e-02, shift sparsity = [3.73e-04 1.00e+00 3.73e-04], duality gap = 0.00e+00\n",
+      "Iteration 410, objective=3.01e-01, stepsize=4.00e+00, error=1.12e-01, shift sparsity = [2.80e-04 1.00e+00 2.80e-04], duality gap = 0.00e+00\n",
+      "Iteration 420, objective=2.99e-01, stepsize=8.00e+00, error=5.53e-02, shift sparsity = [2.80e-04 1.00e+00 2.80e-04], duality gap = 0.00e+00\n",
+      "Iteration 430, objective=2.98e-01, stepsize=8.00e+00, error=5.46e-02, shift sparsity = [2.80e-04 1.00e+00 2.80e-04], duality gap = 0.00e+00\n",
+      "Iteration 440, objective=2.97e-01, stepsize=4.00e+00, error=1.08e-01, shift sparsity = [2.80e-04 1.00e+00 2.80e-04], duality gap = 0.00e+00\n",
+      "Iteration 450, objective=2.96e-01, stepsize=8.00e+00, error=5.31e-02, shift sparsity = [2.80e-04 1.00e+00 2.80e-04], duality gap = 0.00e+00\n",
+      "Iteration 460, objective=2.95e-01, stepsize=8.00e+00, error=5.25e-02, shift sparsity = [1.87e-04 1.00e+00 1.87e-04], duality gap = 0.00e+00\n",
+      "Iteration 470, objective=2.94e-01, stepsize=1.60e+01, error=2.60e-02, shift sparsity = [1.87e-04 1.00e+00 1.87e-04], duality gap = 0.00e+00\n",
+      "Iteration 480, objective=2.93e-01, stepsize=8.00e+00, error=5.11e-02, shift sparsity = [1.87e-04 1.00e+00 1.87e-04], duality gap = 0.00e+00\n",
+      "Iteration 490, objective=2.93e-01, stepsize=1.60e+01, error=2.53e-02, shift sparsity = [1.87e-04 1.00e+00 1.87e-04], duality gap = 0.00e+00\n",
+      "Iteration 500, objective=2.92e-01, stepsize=8.00e+00, error=4.98e-02, shift sparsity = [1.87e-04 1.00e+00 1.87e-04], duality gap = 0.00e+00\n",
+      "Iteration 510, objective=2.91e-01, stepsize=1.60e+01, error=2.47e-02, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 520, objective=2.90e-01, stepsize=8.00e+00, error=4.86e-02, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 530, objective=2.90e-01, stepsize=8.00e+00, error=4.80e-02, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 540, objective=2.89e-01, stepsize=8.00e+00, error=4.75e-02, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
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+      "Iteration 15670, objective=2.76e-01, stepsize=8.00e+00, error=4.12e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15680, objective=2.76e-01, stepsize=1.60e+01, error=2.05e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15690, objective=2.76e-01, stepsize=8.00e+00, error=4.08e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15700, objective=2.76e-01, stepsize=1.60e+01, error=2.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15710, objective=2.76e-01, stepsize=8.00e+00, error=4.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15720, objective=2.76e-01, stepsize=4.00e+00, error=8.07e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15730, objective=2.76e-01, stepsize=8.00e+00, error=4.02e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15740, objective=2.76e-01, stepsize=4.00e+00, error=8.03e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15750, objective=2.76e-01, stepsize=8.00e+00, error=4.01e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15760, objective=2.76e-01, stepsize=4.00e+00, error=7.99e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15770, objective=2.76e-01, stepsize=8.00e+00, error=4.00e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15780, objective=2.76e-01, stepsize=4.00e+00, error=7.97e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15790, objective=2.76e-01, stepsize=1.60e+01, error=2.00e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15800, objective=2.76e-01, stepsize=4.00e+00, error=7.98e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15810, objective=2.76e-01, stepsize=4.00e+00, error=7.97e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15820, objective=2.76e-01, stepsize=4.00e+00, error=7.99e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15830, objective=2.76e-01, stepsize=1.60e+01, error=2.00e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15840, objective=2.76e-01, stepsize=4.00e+00, error=7.99e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15850, objective=2.76e-01, stepsize=8.00e+00, error=4.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15860, objective=2.76e-01, stepsize=8.00e+00, error=4.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15870, objective=2.76e-01, stepsize=1.60e+01, error=2.03e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15880, objective=2.76e-01, stepsize=8.00e+00, error=4.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15890, objective=2.76e-01, stepsize=4.00e+00, error=8.10e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15900, objective=2.76e-01, stepsize=8.00e+00, error=4.05e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15910, objective=2.76e-01, stepsize=4.00e+00, error=8.12e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15920, objective=2.76e-01, stepsize=8.00e+00, error=4.06e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15930, objective=2.76e-01, stepsize=4.00e+00, error=8.12e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15940, objective=2.76e-01, stepsize=8.00e+00, error=4.07e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15950, objective=2.76e-01, stepsize=1.60e+01, error=2.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15960, objective=2.76e-01, stepsize=1.60e+01, error=2.05e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15970, objective=2.76e-01, stepsize=8.00e+00, error=4.09e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15980, objective=2.76e-01, stepsize=4.00e+00, error=8.18e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 15990, objective=2.76e-01, stepsize=8.00e+00, error=4.08e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16000, objective=2.76e-01, stepsize=4.00e+00, error=8.17e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16010, objective=2.76e-01, stepsize=8.00e+00, error=4.08e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16020, objective=2.76e-01, stepsize=4.00e+00, error=8.14e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16030, objective=2.76e-01, stepsize=8.00e+00, error=4.09e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16040, objective=2.76e-01, stepsize=8.00e+00, error=4.08e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16050, objective=2.76e-01, stepsize=1.60e+01, error=2.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16060, objective=2.76e-01, stepsize=8.00e+00, error=4.05e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16070, objective=2.76e-01, stepsize=4.00e+00, error=8.08e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16080, objective=2.76e-01, stepsize=8.00e+00, error=4.03e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16090, objective=2.76e-01, stepsize=4.00e+00, error=8.04e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16100, objective=2.76e-01, stepsize=1.60e+01, error=2.01e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16110, objective=2.76e-01, stepsize=8.00e+00, error=4.01e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16120, objective=2.76e-01, stepsize=1.60e+01, error=2.00e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16130, objective=2.76e-01, stepsize=8.00e+00, error=3.99e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16140, objective=2.76e-01, stepsize=1.60e+01, error=1.99e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16150, objective=2.76e-01, stepsize=8.00e+00, error=3.95e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16160, objective=2.76e-01, stepsize=4.00e+00, error=7.89e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n",
+      "Iteration 16170, objective=2.76e-01, stepsize=4.00e+00, error=7.88e-04, shift sparsity = [9.33e-05 1.00e+00 9.33e-05], duality gap = 0.00e+00\n"
+     ]
+    }
+   ],
+   "source": [
     "\n",
-    "for _ in range(2000):\n",
+    "for _ in range(20000):\n",
     "    params, state = update(\n",
     "        params, state,\n",
     "        hyperparameters_prox,\n",
@@ -2699,26 +4176,31 @@
     "    duality_gap.append(jnp.sqrt(((Δ_ravel - D_block_diag @ β_ravel))**2).reshape(-1, len(β_ravel) // 3, order=\"F\").sum(0).mean())\n",
     "    if state.iter_num % 10 == 0:\n",
     "        with np.printoptions(precision=2, floatmode=\"fixed\"):\n",
-    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")"
+    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")\n",
+    "    if state.error < 1e-4:\n",
+    "        break"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "ProxGradState(iter_num=Array(2000, dtype=int64, weak_type=True), stepsize=Array(8., dtype=float64), error=Array(0.01232012, dtype=float64), aux=None, velocity={'Δ': Array([[0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float64), 'β': {'Delta': Array([-1.86461532, -2.14373595, -1.94838157, ...,  0.57225441,\n",
-       "       -0.15953703,  0.02294486], dtype=float64), 'Omicron_BA1': Array([-1.86461532, -2.14373595, -1.94838157, ...,  0.57225441,\n",
-       "       -0.15953703,  0.02294486], dtype=float64), 'Omicron_BA2': Array([-1.86461532, -2.14373595, -1.94838157, ...,  0.57225441,\n",
-       "       -0.15953703,  0.02294486], dtype=float64)}, 'β0': {'Delta': Array(0.39737314, dtype=float64), 'Omicron_BA1': Array(0., dtype=float64), 'Omicron_BA2': Array(-0.02780172, dtype=float64)}}, t=Array(1002.72414118, dtype=float64, weak_type=True))"
+       "ProxGradState(iter_num=Array(16174, dtype=int64, weak_type=True), stepsize=Array(32., dtype=float64), error=Array(9.92000471e-05, dtype=float64), aux=None, velocity={'Δ': Array([[-0.10964781,  0.24879308, -0.63019938, ..., -0.63343866,\n",
+       "         0.14142437, -0.10414721],\n",
+       "       [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "         0.        ,  0.        ],\n",
+       "       [ 0.04833097, -0.21128656,  0.27591585, ..., -0.43975802,\n",
+       "        -0.1786797 ,  0.04652405]], dtype=float64), 'β': {'Delta': Array([-0.36658128, -2.5506465 , -2.09876846, ...,  0.285537  ,\n",
+       "        0.24964971, -0.35133814], dtype=float64), 'Omicron_BA1': Array([-0.25693347, -2.79943958, -1.46856908, ...,  0.91897566,\n",
+       "        0.10822534, -0.24719093], dtype=float64), 'Omicron_BA2': Array([-0.2086025 , -3.01072614, -1.19265324, ...,  0.47921764,\n",
+       "       -0.07045436, -0.20066688], dtype=float64)}, 'β0': {'Delta': Array(-0.17063019, dtype=float64), 'Omicron_BA1': Array(0., dtype=float64), 'Omicron_BA2': Array(-0.32105412, dtype=float64)}}, t=Array(8090.24612585, dtype=float64, weak_type=True))"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2729,22 +4211,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2754,7 +4226,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2764,7 +4236,7 @@
     },
     {
      "data": {
-      "image/png": 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9frAQJ0qq0T4iCI8u3o5jxdVO80MC1Cj5c1ylLlEGfHXPIIQGahpbFRERXQIGLaI27GhRFfSaukEWV+7NQ2r7MEz9cAP2na5odPlv7x+MaosdA5JCvfruLyIif8GgRdQGnCipxjdbT2JaahJ0GgW2HSvFD9tP4YsNx5q9jo1/H3Xee6qIiMj9GLSIWikhBHLLanHvZ1uw82Tdjetv/rK/2d9/5tpuWLTpGB4a1Rnjeka7/RUURER0YQxaRK1Iea0Vy7bn4u/f7ryo7+vVSvxlUAL+Pq4rJEnCXVcmu7lCIiJyBYMWUStQVmPFjM+2OL3ouCkdI4NwRYcwdI0xYuRlkbwcSETUijFoEXnJx7/lYMWe08g+XSE/AXiuwR3C8MKE7ugYGcRLf0REbRCDFlELWrzpOF74Ybf8qprGvP+XvhjWOZKDexIR+QAGLaIWMm/1Qbz+c3aT8+dM6Y1Jfdq1YEVERORpDFpEHiCEwOd/HEVhZd37/zYfLWmwTJ+EYHSNMeLanjHoEBmEKN5rRUTkcxi0iDxgwCsZKKw0Nzpv4T2DMKh9WAtXRERE3sCgReRmN76/vtGQpZCApTOvwOVxwS1fFBEReQWDFtElEELgYH4l2oXocbKkBtl5Fdh05MxlwvSrOqNjZBCu7BQOo07txUqJiMgbGLSILsHjS3ZgyZYTjc774+lRiDbxvisiIn/GoEV0EX49UIAZn21pdJiGy6IN+HpGKgzswSIi8nsMWkQuuu2jDfj1QGGD9mijDjNHdMCUAQnQqBReqIyIiFobBi0iF8zNOOAUskZ3i8ITV3dBx0iDF6siIqLWikGLqJmW7TiFN37ZL09P6h2LN27qDaWCr8YhIqLGMWgRXYAQAtf9az2yjpc6tTNkERHRhTBoEV3Af7eedApZfRKC8fW9qQxZRD7Earei2lYNSZJgsVtQZa2CRqGBUWuE1W6FUWuEQnLt3kuz3YwTFSfgEA7EBsUiUB0IIQQqrBUA6v4nTqVQIVAdKC+vkBQorK67PSEiIAIqBU/TbR2PINF5ZOzNw2Nfb5enk8IC8PW9qVApebM7tV5CCGQVZOGjnR9h7Ym1SDImoaCmACnRKSioKYDVYcWx8mN4sO+D6BjcEeWWcgRrg9E1tCs25G7A3uK90Kl0OFJ2BBWWCvQI74EuoV1wqvIUTlScwLGKY6i2VmNSp0noHtYdZeYyBKmDEKQJwqnKU6i0VsLqsMLmsMEhHDhSfgT9o/qjc0hnmLQmAHWhQikpIUGCQlKg1l4LvUrfYF/sDjscwgG1svGneK0OKyRI2Ji7ERtPb6zbP7sVCcYEnKg8ASEEDBoDjpQdwb6SfQhQBSDeEI8jZUeQX5Pvlp+3VqlFVEAUjlUcu+h1BGuDUWoubXSeQWNAmC4M8YZ4JBgToJJUKK4tRo/wHkg2JcOkNSFCH4EAdQBUChW0Si2sdmuTPzNPMNvNkCBBo9TA5rDBYrcgQB0AAKi0VEKtVKPWVovTVaex9sRaHK84Dr1KD6WkREFNASRI6B3ZG8mmZJTUlkCpUCJcFy6v3yZsKKwphFqhxsnKk8guzoYkSdCr9NhRsAMhuhAEa4NhtpmRX5OP6IBolJpL0TeqL4a0G4K+UX1b7GdxLkkIIby2dT9XXl4Ok8mEsrIyGI1Gb5dDZzmYX4GD+ZWY8flWuW3bM1chJFDjxaroUjiEQ+6RsDvsUCqUbt/GiYoTWHF0BQJUAQhQByAmMAY9w3sityoXOqUOxyuOIyYoBjGBMXJPhc1hQ5m5DHZhR4Q+AlXWKhytOIqS2hIYNAaoFCqcrjoNAFAr1CiqKUJkQCT+tf1fSDYm48q4K2HUGJFbmYtvD36L7QXbz1eizzBoDLA5bKix1Xi7lFatvak9jBojDpUeQjtDOxTVFEGj1CBCH4Hskmz559fB1AE6lQ4pMSlQSkocqziGn4/8jDBdGOIMcTBpTSiqKUKNrQaHyw47bUOtUMPqsAIA9Cq9vM6zP3vTjZ1vxLOpz7p1na6cvxm0vIhBq3Xad7ocV8/51altzpTemNSnnZcqonMJIVBprcTeor2osFTg+0Pfo6i2CMmmZCw9uBQA0CmkE6osVbii3RX4ev/XTt8/+8TQPaw7cspyICBQa6vF8PjhWH18NQBgcqfJUEkq5FfnQ0AgOjAaP+b8iDBdGLqHd0dkQCROV57GjsIdOFl5skV/Bq4aHj8cg2IGocpahcxTmdict7nZ35UgQUBArVBjWNwwSJKEvUV7caKy8cF6vUmr1MJsN0Ov0su9XQaNAcW1xQCAJGMShsYNhVapxfeHvgcARAVGoWNwR4yIH4Hs4mwICEiQMDx+OBSSAg7hwLPrn8Weoj1Nbre9qT3MdjOqrdWIN8ZjTOIYJJmSEGeIwxub34BaoUaXkC5wwIF+Uf0QrA2GQzhg0BhQVFMEq8MKu7Cj2lqNHuE9EKgOxLJDy/DyhpedtmPUGGGxW1Brr/XcD7GF6JQ6p/1IMCQ49QomGZMgSWdu0bDYLaix1aDGVoNaWy20Si1CdCEoqimCgEBqbCp0Sh0Olx2GWqGG2W6GWqHGDZ1vwM2X3ezW2hm02ggGrdZHCIHkp390avvbyI54dHQXL1Xk++r/BFVYK6CS6np59Co9JEmCQzhQY6vBqmOrsLNwJ2pttfj24LfeLLdF6FV6CCGaPJk21lOgV+khQUKH4A5INCZifIfxSI1JdTpRncvmsEEIAbVSjVXHVqHGVoMR8SOgV+lRZa1CkCZIXrb+pHX2fUo1thrYHXYEqAOgkBQot5SjsLoQ4QHhMGrO/E2rslZhT9EeWB1WHC49jPCAcORV5SFAHQCNQgODxoBqWzUAoMxchgHRA1Brq0WpuRQ/5vyIExUnoFao0T+6PwqqC1BuKUecIQ7hunD0CO8Bq8OKLiFd6tan9L1eZ6u9LoTpVM5vmqix1UCCBLVCDaVCiezibCglJSqtlSiqKUK1rRoKSYFjFcegklToGtYVDuGAEAL5NfnYVbgLOwt3wmq3ok9kH+RX5yPeEA+FpIBKoYJd2NHe1B4KSSHfP+YQDlRbq7F4/2Lc0f0OdA/rjgB1AMw2M0L1oXAIByRIUClUsDqsKLeUQ6/UQ6Du37lJa0K4Pryx3XTar8YuI7cmDFptBINW63KsqBpDX1/t1NYhIhCL701FWJDWS1W1fdXWaljsFvx757+xMXcjskuyvV0S7upxFz7a9VGj884OMZ1COsn3CB0pP9Jg2Uh9JPpE9UGCIQFh+jAMjh2MZFMyhBCwCRuy8rNgc9gQoY9AoDoQ4fpwbDq9CUsOLMGOgh0YFjcMVydfjQh9BIpri2G2m9EhuAMi9BGQJAlmuxkWuwVB6rrAU22rlm+orp+uD1gAzhuqiMh9GLTaCAat1iOnsAoj/t8ap7ZDr46DBEDBpwudWOwWbC/Yjk/3fIo1x9cAAGICY/CPQf/AgZIDmLN1DobHDceIhBF4bv1zHqvjsf6PoVtYNxTVFmF04ugGT4QJIVBmLkO1rRoRARFQK5q+MVgIwZBCRM3GoNVGMGi1Djf/OxN/HC52aluZPgwdI4Oa+IZ/sDvsKLOU4a0tb2HpwaUwaAyosFS4fTu9InrhqsSroFPqcKrqFDKOZeBo+dEGy4VoQ7B4/GLsLtyNHuE9EBUY5fZaiIiaw5XzN4d3IL8lhMB9n291CllKhYRfHhmK9hH+FbIcwoHDpYdx47IbEagORJm5rMEylxKyuoZ2xV+6/QXdQrsh2ZR83if+Huj9APJr8hEbGAuz3YwNuRvQJ6oPDGoDJElCdGD0RddBRNTSGLTIb/206zSW7z4tT7//l764ukeMFyvyvPzqfMzdNld+Mq8xjYWssz2f+jziDHG4LPQyfLnvS+RV5eFA6QEMbTcUEztOhAQJNbYa/GfnfxCuD8cj/R5xqUa1Uo12QXVPeOpUOgyLH+bS94mIWhNeOvQiXjr0jiOFVXj6m53IPFwkt31+Vwqu7HT+J2HaIrvDju8OfXfJ90rd3/t+DIweiH5R/dxUGRFR28VLh0RNEELg4UVZTq/UWXTPIKS0D/NeUW5gtpvx28nfUGOrQYQ+AofLDuNY+TFsy9+G3UW7L/j9jsEd8frQ19E+uD0OlByAUWNETFAMcitzEaQJgkFjaIG9ICLyPQxa5Fcaezl0WwxZeVV5uP6H6y94ma8pn479FEpJiThDHDQKjdN4SV1Cz4wZFhPk25dSiYg8jUGL/MbJ0hqnkJXaPgx/G9nRewVdhOLaYiglJdKWpDX7Ox2DO+KLcV9Ap9Lhj1N/oGdET/ZQERG1EAYt8htXzF4lf35rSi9c1yfOi9U0j9VuhYDAkv1LMGvjLJe/f2PnG/FQ34fkl7sObjfY3SUSEdF5MGiRzztcUImRb6x1apvUu3W9t3D9qfX4KecnPND7AZyoPIE7lt/R7O8uGb8E9628Dzd2uRGTO05GREAEJEgcgJOIqBXgU4dexKcOPUsIge0nyjBp3u9O7XtfvBp6TdPjOLWkams1rlpyFcot5S59b1LHSZjadSqiA6IRrAv2THFERNQoPnVIfi+3rAaps1Y1aG8tIWtr3lZMWz7Npe+sv2U9760iImpjGLTIJzUWstY/NdKrIeto+VF8nf01fjryE/Kr8y+4/NSuU5GWkIbskmxc2e5KhiwiojaIQYt8zvzfc5ym37ixF8b0iEaQ1ru/7pO+mwSbw9bovKldp2JUwigoJAW6hnaVb14HgP7R/VuqRCIicjMGLfIpZdVWPP/DHnl6/8tjoVEpWrQGIQRe/ONFmG1m5JTloMpWhZyynEaXfaz/YxiTNIbv7yMi8lEMWuQzHA6BXi+ukKcjDNoWD1kA8NbWt7Bk/5Im5yskBf47/r/oGNK2xvAiIiLXMWiRT3A4BG77eINT23tT+7bY9oUQ+GDHB5iXNe+8y31w1QcYHMuxrIiI/AWDFvmE9MVZ+P1gkVNbv8SQFtn2+9vfv2DAuvfyezGj1wyoFPwnR0TkT/hXn9q8/+3IxdKsU/L0vcPa46mrL/P4gJ12hx0HSw82GbLGJI1Bn8g+mNp1qkfrICKi1otBi9q0jL15mPnlVgCAUiHhlUk9cPPAhBbZ9pytczB/9/xG5y28diG6h3VvkTqIiKj1YtCiNu2uBZvlz5lPj0SkQefxbdbYavDyHy/j+0PfN5g3Lnkc7u11L9qb2nu8DiIiav1cDlrPPfccpk+fjsTERE/UQ9QsNrsD1879TZ4e1jmiRULWhtwN+OuKvzZo/+CqDxATGINkU7LHayAiorbD5Wffv/vuO3To0AGjRo3Cl19+CbPZ7Im6iM5rf14l9p2ukKfn3znA49v8945/Nxqydk7bicGxgxmyiIioAZeDVlZWFjZt2oTu3bvjoYceQnR0NO677z5s2rTJE/URNVBYaca4d351avPkje+nq06j54KemLttboN580ad/2lDIiLybxc1mmOfPn3wzjvv4NSpU/joo49w4sQJXHHFFbj88svx9ttvo6yszN11EsnGn3XJEKgb/d0T7A47vtj7Ba5aclWDeVe2uxIfjv4QQ+OGemTbRETkGy5p2GwhBKxWKywWC4QQCAkJwbvvvov4+HgsWrTIXTUSyf44XITcslp5+s4rkjwy+rvdYcez65/F7I2zG8x7Z8Q7eC/tPaTEpLh9u0RE5Fsu6gy1ZcsWPPDAA4iJicEjjzyCPn36YO/evVi7di0OHDiAV155BQ8++KC7ayU/tzGnGDf/+w95evoVyfi/cV3dvp0ycxmm/zy9wVOFLwx+ATun7cSIhBFu3yYREfkmSQghXPlCz549sW/fPowePRp33303xo8fD6VS6bRMYWEhIiMj4XA43FqsrykvL4fJZEJZWRmMRqO3y2nVqsw2dH/uZ3n6xYndcXtqktu3c7rqdKOXCgFg621boVao3b5NIiJqW1w5f7s8vMNNN92E6dOno127dk0uEx4ezpBFbvXCD7vlz1NTEjwSsn449AP+/tvfG523+NrFDFlEROQyly8d1t+Lda6amhq8+OKLbimK6GxVZhsWbz4hTz9zbTe3rn934W5c++21TYasL8Z9ga5h7r9ESUREvs/lS4dKpRK5ubmIjIx0ai8qKkJkZCTsdrtbC/RlvHTYPFfMXoWTpTUAgMfHdMHMER3dtu4fD/+IJ399skF7SkwKPhz9odu2Q0REvsOV8/dF9Wg1NmbR9u3bERoa6urqiM6r1mqXQxYA3D+8w0WtxyEc2Ja/DcuPLAdQ93v87x3/bjRkAcDrQ1+/qO0QERGdrdn3aIWEhECSJEiShM6dOzuFLbvdjsrKSsyYMcMjRZL/2nHizJhsE3rFXtTApHaHHeO+GYdTVacAAI+vfbzJZR/v/zhuvuxmaJQa14slIiI6R7OD1pw5cyCEwPTp0/HCCy/AZDLJ8zQaDZKSkpCamuqRIsl/3fRBpvz5ufEXd2/WD4d/kENWUwLVgZg7ci4GRHv+VT5EROQ/mh20pk2bBgBITk7G4MGDoVbzCSzyrOIqi9N0WJDWpe8LIbDs8DI88/sz513u/l73Y0avGR59jQ8REfmnZgWt8vJy+WavPn36oKamBjU1NY0uy5u6yV1yCivlzw+ndXLpu0IIDFk0BGXm878OyqA24I4edzBkERGRRzQraIWEhMhPGgYHBzd6Uqq/SZ5PHZI75JXX4vr3zlw2fHBk84NWtbUaKV9e+PU43cO6Y8HYBdAqXespIyIiaq5mBa1Vq1bJTxSuXr3aowURAXXvNKx37eUxUCia3+N09X+vbtCmV+lxZbsrManjJAyMHggBAb1K75ZaiYiImtKsoDVs2LBGPxN5gsMh8NDCLHn65Uk9mvW9rPwszNk6ByXmkgbzfpr8E8L0Ye4qkYiIqFlcHkdr+fLl+O233+TpefPmoXfv3rj11ltRUtLwBEfkqhV7Tsuf3765N4IDmjfUwm0/3YYteVsatH8x7guGLCIi8gqXg9bjjz+O8vJyAMDOnTuRnp6OcePGIScnB+np6W4vkPzPjM+3yp8n9m76nZr1zHYzZm+c3ei8X274BZdHXO622oiIiFzh8kulc3Jy0K1b3XhG//3vfzF+/Hi8+uqr2Lp1K8aNG+f2Asm//G9Hrvx5cIcL90Itzl6Ml/54qUF7WkIaZg2ZBZ1K59b6iIiIXOFyj5ZGo0F1dTUAYOXKlRg9ejQAIDQ0VO7pIrpYz32/S/78tws8aSiEaDRk9YrohbdGvMWQRUREXudyj9YVV1yB9PR0XHHFFdi4cSMWLVoEANi/fz/i4uLcXiD5j32ny1FYeWaQ0g4RgeddvtZe22j7x2M+dmtdREREF8vlHq158+ZBrVZjyZIleO+999CuXd09ND/99BOuvrrhY/X+5LrrrkNISAhuuOEGb5fS5pRUWXD1nF+d2sLPMxJ8dnE2Bn4x0Kkt3hCPad2m8T2FRETUarjUo2Wz2bBmzRr85z//QXR0tNO8t956y62FtUUPPfQQpk+fjgULFni7lDbnlR/3Ok3/8sjQJsfOmv7zdGw6vcmpLfOWTARpgjxWHxER0cVwqUdLpVJhxowZMJvNnqqnTRs+fDgMBoO3y2iTMvbmyZ8n9IpFp6jGf46nKk81CFk6pY4hi4iIWiWXLx0OHDgQ27Ztc1sBFRUVePjhh5GYmAi9Xo/Bgwdj06ZNF/6iC9atW4fx48cjNjYWkiRh6dKljS43b948JCUlQafTISUlBRs3bnRrHdQ4u0OgpNoqTz8/oXuTyy7OXtygbemkpZ4oi4iI6JK5fDP8/fffj0cffRQnTpxAv379EBjofMPy5Ze7NmbRX//6V+zatQufffYZYmNj8fnnnyMtLQ179uyR7/862++//46BAwdCrVY7te/ZswdhYWGIiopq8J2qqir06tUL06dPx+TJkxutY9GiRUhPT8f777+PlJQUzJkzB2PGjEF2djYiIyMBAL1794bNZmvw3RUrViA2Ntal/aYz1h0okD/HmnQIDWz8HqsqaxU+2vWRU9vX479Gu6ALj7VFRETkDZIQQrjyBYWiYSeYJEkX9VLpmpoaGAwGfPfdd7jmmmvk9n79+mHs2LF4+eWXnZZ3OBzo27cvOnXqhIULF0KpVAIAsrOzMWzYMKSnp+OJJ5447zYlScK3336LSZMmObWnpKRgwIABePfdd+VtxcfH429/+xueeuqpZu/TmjVr8O6772LJkiUXXLa8vBwmkwllZWUwGo3N3oavmbf6IF7/ORsAsOHvoxBlbDgsgxACE5ZOwJHyI3Jb1m1ZUCqULVUmERERANfO3xc1YKm72Gw22O126HTOJ1a9Xu/0mp96CoUCP/74I4YOHYrbb78dn332GXJycjBy5EhMmjTpgiGrKRaLBVu2bMHTTz/ttK20tDRkZmZe1DrPZ968eZg3b55LodRXCSHw9ebjAIAHRnRsNGQBwNO/Pe0UsuaOnMuQRURErZ7LQSsxMdFtGzcYDEhNTcVLL72Erl27IioqCl999RUyMzPRsWPHRr8TGxuLVatWYciQIbj11luRmZmJtLQ0vPfeexddR2FhIex2e4PLjlFRUdi3b1+z15OWlobt27ejqqoKcXFx+Prrr5GamtpguZkzZ2LmzJlyIvZnv+zJw5GiugFwU5sYCV4Igf8d/p883TmkM4bHD2+J8oiIiC6Jy0Gr3p49e3Ds2DFYLBan9gkTJri0ns8++wzTp09Hu3btoFQq0bdvX9xyyy3YsqXhy4HrJSQk4LPPPsOwYcPQvn17fPTRR5CkxocCaEkrV670dgltit0hcM9nZ47zFR3DG13uLz/9xWl69pDG32tIRETU2rgctA4fPozrrrsOO3fulO/NAiAHHVcvh3Xo0AFr165FVVUVysvLERMTgylTpqB9+/ZNficvLw/33HMPxo8fj02bNuGRRx7B3LlzXd0VWXh4OJRKJfLy8pza8/LyGowXRu5zqrRG/tzU4KS7i3ZjR8EOebpHWA90Cjn/q3mIiIhaC5eHd3jooYeQnJyM/Px8BAQEYPfu3Vi3bh369++PNWvWXHQhgYGBiImJQUlJCX7++WdMnDix0eUKCwsxatQodO3aFd988w0yMjKwaNEiPPbYYxe9bY1Gg379+iEjI0NuczgcyMjIaPTSH7nH/y09817Dxi4b7inag5uX3ezU9ubwNz1eFxERkbu43KOVmZmJVatWITw8HAqFAgqFAldeeSVmzZqFBx980OUxtn7++WcIIdClSxccPHgQjz/+OC677DLceeedDZZ1OBwYO3YsEhMTsWjRIqhUKnTr1g2//PILRo4ciXbt2uGRRx5p8L3KykocPHhQns7JyUFWVhZCQ0ORkJAAAEhPT8e0adPQv39/DBw4EHPmzEFVVVWjddCl+/VAAdbtPzOswxNjujjNL6wpxJRlU5zaZg+ZjZigmBapj4iIyB1cDlp2u10e/Tw8PBynTp1Cly5dkJiYiOzsbJcLKCsrw9NPP40TJ04gNDQU119/PV555ZUG42QBdU8CvvrqqxgyZAg0mjNjLfXq1QsrV65EREREo9vYvHkzRowYIU+np6cDAKZNm4b58+cDAKZMmYKCggI8++yzOH36NHr37o3ly5c3Oi4XXbonlpy5HHhVtyjEhwbI09nF2bjhB+f3Rb429DWMTR7bYvURERG5g8vjaA0ZMgSPPvooJk2ahFtvvRUlJSX4xz/+gX//+9/YsmULdu3adeGVEAD/HUfL4RBo//cf5elN/5eGCEPdPVpWhxV9P+vrtPxX13yFHuE9WrRGIiKipnh0HK1//OMfqKqqAgC8+OKLuPbaazFkyBCEhYVh0aJFF1cx+ZWlWSflz8sfHiKHLACYu835oYYAVQBDFhERtVkuB60xY8bInzt27Ih9+/ahuLgYISEhrWKIBWr9thwtkT8HaZ1/BT/Z9YnTdKLRfeO2ERERtbSLHkcLAI4frxvROz4+3i3FkH/4YsMx+bNJX3cvXkF1AcZ9M67Bsi9d8VKL1UVERORuLg/vYLPZ8Mwzz8BkMiEpKQlJSUkwmUz4xz/+AavV6okayYccyKuQP09LTUSgVon3t7+PkV+PRK29Vp73cN+HsfW2regS2qWx1RAREbUJLvdo/e1vf8M333yD1157TR5jKjMzE88//zyKioou6VU45Pt+P1gof545siN+O/kb5mXNa7DczZfdDLWi4ZOnREREbYnLQevLL7/EwoULMXbsmUftL7/8csTHx+OWW25h0KImWWwOPP/DHgBA1xgjIg06rM3Na7DcmKQxCFQHtnR5REREbufypUOtVoukpKQG7cnJyU5jWxGd693VZwaNVSkkOIQDL2a+2GA53pdFRES+wuWg9cADD+Cll16C2WyW28xmM1555RU88MADbi2OfMunmUfkzwIC139/vdP87mHdse22bdCr9C1cGRERkWe4fOlw27ZtyMjIQFxcHHr16gUA2L59OywWC0aNGoXJkyfLy37zzTfuq5TatCqzDaXVZx6WeGpcMu777aDTMguvXdjSZREREXmUy0ErODgY11/v3BPB4R3oQga9euaF3csfHgKNvtBp/i2X3dLSJREREXmcy0Hrk08+ufBCROeoMNvkz0E6O8Yuneg0f2bvmS1dEhERkce5fI9WTU0Nqqur5emjR49izpw5WLFihVsLI99RUmVxmv5g15tO0+umrINJa2rJkoiIiFqEy0Fr4sSJ+PTTTwEApaWlGDhwIN544w1MnDiRQztQo6Z+uEH+LKlKsPTQUqf5IbqQFq6IiIioZbgctLZu3YohQ4YAAJYsWYLo6GgcPXoUn376Kd555x23F0ht29JtJ7Ent1yefnxCgBerISIialkuB63q6moYDAYAwIoVKzB58mQoFAoMGjQIR48edXuB1LY9vCjLaTopXOc8bUxquWKIiIhamMtBq2PHjli6dCmOHz+On3/+GaNHjwYA5Ofnw2g0ur1A8i1Vtiqn6XdHveulSoiIiDzP5aD17LPP4rHHHkNSUhJSUlLk9x2uWLECffr0cXuB5Ds+vqM/DpUekqdXXL8CicZEL1ZERETkWS4P73DDDTfgyiuvRG5urjxgKQCMGjUK1113nVuLo7YvSKtCpdmGL/6aAlXgIXyx4QsAwMj4kYgJivFydURERJ7lctACgOjoaERHRzu1DRw40C0FkW/YcLgIP+/OQ+Wf42d1igzCqG//Ks+PM8R5qzQiIqIWc1FBi+hCpvz7D6fpsCCt0/SI+BEtWQ4REZFXuHyPFpGr2kcEoqAmz6mtf3R/L1VDRETUctijRW4nhHCafmFCd1y1ZKQ8/drQ11q6JCIiIq9wuUdr3bp1sNlsDdptNhvWrVvnlqKobVu1L99pOiKk0mm6W1i3liyHiIjIa1wOWiNGjEBxcXGD9rKyMowYwftuCLhrwWb5s1JTiBv/N8FpflwQb4QnIiL/4HLQEkJAkqQG7UVFRQgMDHRLUeQ7gjvNdZpecf0KKBVKL1VDRETUspp9j9bkyZMBAJIk4Y477oBWe+YpMrvdjh07dmDw4MHur5DaNIvD7DTNsbOIiMifNDtomUwmAHU9WgaDAXq9Xp6n0WgwaNAg3H333e6vkIiIiKiNalbQSk9Px7vvvovAwEAcOXIEH374IYKCgjxdG7VBDkf9E4cCo7qGY6NXqyEiIvKuZt2jNXfuXFRW1j05tm7dOlRXV3u0KGq7am12AICu3RfYCOcezqsSr/JGSURERF7TrB6tpKQkvPPOOxg9ejSEEMjMzERISEijyw4dOtStBVLb8vdvdgIA1MZdDea9cuUrLV0OERGRVzUraL3++uuYMWMGZs2aBUmSmnx5tCRJsNvtbi2Q2palWacabU82JUOv0jc6j4iIyFc1K2hNmjQJkyZNQmVlJYxGI7KzsxEZGenp2qiNUmhPO013DumMD676wEvVEBEReY9Lr+AJCgrC6tWrkZycDJWKb++hxgW2n+M0veDqBQjS8OEJIiLyP81KS+Xl5TAajQCAPn36nPdm+PrlyP/Y7A4otA0vHTJkERGRv2pW0AoJCUFubi4iIyMRHBzc6Mjw9SPG8x4t/7XxSDEC27/j7TKIiIhajWYFrVWrViE0NBQAsHr1ao8WRG3TtmMluPU/G2Do6tyuVWob/wIREZEfaFbQGjZsWKOfiepd96/1jbabNKYWroSIiKj1uKg72ktLS7Fx40bk5+fD4XA4zbv99tvdUhj5hjhDnLdLICIi8hqXg9YPP/yAqVOnykM9nH2/liRJDFp+qMZiB+CAQpvXYN5LV7zU8gURERG1Ei4HrUcffRTTp0/Hq6++ioCAAE/URG1IflUJbljyIAKSc6HUOQetndN2eqkqIiKi1sHloHXy5Ek8+OCDDFkEAHho+T9Rgiwodc7tEztM9E5BRERErUizXip9tjFjxmDz5s2eqIXaoLyq/EbbecmQiIiomT1a33//vfz5mmuuweOPP449e/agZ8+eUKvVTstOmDDBvRVSqyZJAhCNtTcca42IiMjfNPtdh+d68cUXG7RxwFL/YxXmBm1/6foXL1RCRETU+jQraJ07hANRPYMmCCVnZa3h8cPxxIAnvFcQERFRK8I3Q9MlcTjqbvPrrL8KX9/4/6CQXL7tj4iIyGc1+6yYmZmJZcuWObV9+umnSE5ORmRkJO655x6YzQ0vI5FvK6gqAwAkGy9jyCIiIjpHs8+ML774Inbv3i1P79y5E3fddRfS0tLw1FNP4YcffsCsWbM8UiS1TttPFqBWtR8AkBgS5uVqiIiIWp9mB62srCyMGjVKnl64cCFSUlLwn//8B+np6XjnnXewePFijxRJrdP/Zf4NksICABgQ387L1RAREbU+zQ5aJSUliIqKkqfXrl2LsWPHytMDBgzA8ePH3VsdtVqVlkocrTrTwxkREOHFaoiIiFqnZgetqKgo5OTkAAAsFgu2bt2KQYMGyfMrKioajKlFvuvOZY85TUcFRDWxJBERkf9qdtAaN24cnnrqKfz66694+umnERAQgCFDhsjzd+zYgQ4dOnikSHJdVn4WMo5meGz9+yp+d5oO0gR5bFtERERtVbOHd3jppZcwefJkDBs2DEFBQViwYAE0Go08/+OPP8bo0aM9UiS57rafbgMALLtuGRKNiR7d1rODXvDo+omIiNqqZget8PBwrFu3DmVlZQgKCoJSqXSa//XXXyMoiL0arU1+db7bg1ZBZbnT9I1dJrt1/URERL7C5QFLTSZTo+2hoaGXXAy5hxBnXj6oUrh/TNpVR9bLnx9o/7nb109EROQrOMKkD7KLM++bVEnuD1rP/Fw3cK2tsgtuT+nh9vUTERH5CgYtH2Rz2OTP7u7R2pa/DdrwtXUTlmjoNcrzf4GIiMiPMWj5IKvDKn9WK9w35IbVbsXtP90uT0eG57tt3URERL6IQcsHnR20lAr39Tg9suYRp+mXhj7WxJJEREQEMGj5pLMvHbrT2hNrnaaHJg70yHaIiIh8BYOWDzq7R4uIiIi8h0HLB1ntZ4KWgDjPkhev6sh9HlkvERGRL2HQ8kGe6NFyCIfT9Ctjr3X7NoiIiHwNg5YPcgpFburQ2l2422n6mstj3LNiIiIiH8ag5YM8cbnwuczn5M/mvLEwaN0/ECoREZGvYdDyQWf3aLkrdBnUBvmzpXgYJElyy3qJiIh8GYOWDzr7XYfusjV/KwDAWt4Ti+9Ndfv6iYiIfBGDlg9y6tFyQ+jaX7Jf/myvbo9+iSGXvE4iIiJ/wKDlgxxwXHihZqqyVuH676+Xp62lA6BU8LIhERFRczBo+aCze7Eu5R6tams1Bn056My6HBrcObjjJdVGRETkTxi0fJC7boCflzXPadpa1hsdI4Pcsm4iIiJ/wKDlg9z11GFWfpbTtLV0AEZ3i77o9REREfkbBi0f5I6b4YUQ2FG445xGFUx69aWURkRE5FcYtHyQO5403Ja/rUGbwxoCjYq/MkRERM3Fs6YPupinDj/c+SHSvk7DD4d+QJW1CguzFzrNrzz0KF6fPNBdJRIREfkFvkfFB537AujmeHvr2wCAv//290bnC0sEksMDL6kuIiIif8MeLR/kruEd6lVkPw8ACNAwlxMREbmCQcsHXUyPVlNqTl0POHQAgPYR7NEiIiJyBYOWDzq7F+tSb4y3lQ0AADw0qhN0auUlrYuIiMjfMGj5IHf1aJkLh8mfh3aOcMs6iYiI/AmDlg9y9R6t4+XHG223llwhf+4TH3zJdREREfkbBi0f5MrwDutPrce4b8c1aA9QmiBsRgDA7Mk9oeCLpImIiFzGoOWDXOnRWrB7QaPtY8NeBAAkhAZgyoB49xVHRETkRxi0fJDTPVoXuHJYY6tp0PbEgCew6UDdq3amX5EESWJvFhER0cVg0PJBrlw6PDdo6ZQ6jIwbg92nygEAo7pGubU2IiIif8Kg5YNcuXR4btD69eZfkbG7GgCgVSkQF6J3f4FERER+gkHLBzV3eAchBI6WH3VqU0CDZ7/bDQAIDlDzsiEREdElYNDyQWcHrfMNWHr5p5c3aNt5slT+fE3PWLfWRURE5G8YtHxQc8bOMtvNjbZf/16m/DkkQO22moiIiPwRg5YPcurRaiJ0naw8ecH1/GVQottqIiIi8kcMWj6oOe83LDeXN2jrrpnmNB0SqHFbTURERP6IQcsHOb1UuokerQ93ftigbcMeDuVARETkTgxaPqg5Tx2uPbG2QZtwaOXPL03s7taaiIiI/BGDlg9q7lOHDdjPBC3en0VERHTpGLR80KiEUeedX25peH9WHZX8ieNnERERXToGLR8Upg9DvKHpF0FP+2lag7aaUzfKn//fjb08UhcREZG/YdDyURLqeqTOvRne7rDjYOlBp7ZYfSfYyvrJ00r+VhAREbkFT6l+pqCmoEHbsQLnMJbGF0kTERG5BYOWj6q/x+rcm+EfyHjAaVonYlB7epI8vfP50TDoOCI8ERGROzBo+Znskmyn6S62lyCs4QAAg1bFkEVERORGDFo+qql7tM5lc5wZCqLCbPNoTURERP6GQcuPlNSWOE0vvHYhbHYXxtkiIiIilzBo+biz79FasHuB07zuYd1hc5yZ/9CoTi1WFxERkT9g0PIjdmGXP88ZMQcAYLWfuXQ4ZUDTY28RERGR6xi0fJT81OFZ92ipFXU3uicZk+TR43efOjNKfHiQFkREROQ+DFp+wmK34JNdnwAAxrUfBwD4/WCh0zIaFX8diIiI3IlnVh9V/9RhvS/3fgmbqHuqMEwXBgCY9dNeef6/b+sHIiIici8GLR9XfzP8quOr5DaT1gQA2HXyzGXDMF42JCIicjsGLR91do+WxW7Btvxt8rROqWswYnx8qL7FaiMiIvIXDFo+6uyb4X898avTPLVCjWqL3akt0qBrsdqIiIj8BYOWHyi3lDtNq5VqVNSeGQW+W4yxpUsiIiLyCwxaPk5AoKCmwKlNrVCjrMYqT9/YP66lyyIiIvILDFp+YO62uU7TKoUKb/5y5uXSt6cmtXBFRERE/oFBy0fV36PlOOul0WfP+3l3njytVEgNliEiIqJLx6Dl4869bAgAjWQvIiIi8gAGLR9VP7zDy3+83GBeabVF/vza9Ze3WE1ERET+hkHLx9Xaaxu0HSqokj/zRngiIiLPYdDyUee+ggcA9Kq6QUn3HqsbBf6qblHyvVxERETkfipvF0AtZ92UdbA6rPjLf3YAACb2jvVyRURERL6NQctHNdZTpVPpoIMOx4urAQDtw4NauiwiIiK/wkuHPsou7I22l9daUVxVdzM8329IRETkWQxaPqraWu00/f+G/T8AwMwvtsptBp26RWsiIiLyNwxaPqrW5vy0YVRAFADg1wOF3iiHiIjILzFo+Siz3ew0rVY6917xYUMiIiLPY9DyUeeOn6VRaGC1nxkS/rPpKS1dEhERkd9h0PJRNofNaVqtUGPJlhPydEJoQEuXRERE5HcYtPyEWqnGzpNl8nS4QePFaoiIiPwDg5af0Cg0iDXp5OkADYdQIyIi8jQGLT+hVqhRWFk3ftY9Q9t7uRoiIiL/wKDlJ9RKNfadLgcAdIrkiPBEREQtgUHLT6gkFXadrAtaXWOMXq6GiIjIPzBo+YkVuwtRaa57ErFTFHu0iIiIWgKDlp/Yn1cpf9aqlF6shIiIyH8waPmJk6U1AID0qzp7uRIiIiL/waDlB8YkjsU3W08CAKKNugssTURERO7CoOXjYgNjMcjwoDyt0/CyIRERUUth0PJxkiRh11kjwtsdjvMsTURERO7EoOXjJEiYv/6IPG1nziIiImoxDFo+TiE5H+Ix3aO8VAkREZH/YdDycef2YBl0au8UQkRE5IcYtHxcQYXZ2yUQERH5LQYtH1djFd4ugYiIyG8xaPk6Ickf593a14uFEBER+R8GLT8yrme0t0sgIiLyKwxaPu9Mj5YkSedZjoiIiNyNQcvnMVwRERF5C4MWERERkYcwaPk6wUNMRETkLTwL+zxeOiQiIvIWBi2fx6BFRETkLQxafiAlORQ/PjjE22UQERH5HZW3CyAPExIW3juIQzsQERF5AXu0fJ7EkEVEROQlDFo+TvAeLSIiIq9h0CIiIiLyEAYtXyfYo0VEROQtDFo+j0GLiIjIWxi03Oi6665DSEgIbrjhBm+XchYGLSIiIm9h0HKjhx56CJ9++qm3y3DGS4dERERew6DlRsOHD4fBYPB2GU4clnBvl0BEROS3vB607HY7nnnmGSQnJ0Ov16NDhw546aWXIIRw2zbWrVuH8ePHIzY2FpIkYenSpY0uN2/ePCQlJUGn0yElJQUbN250Ww0trfrIvbCUpMBccLW3SyEiIvJbXh8Z/p///Cfee+89LFiwAN27d8fmzZtx5513wmQy4cEHH2yw/O+//46BAwdCrVY7te/ZswdhYWGIiopq8J2qqir06tUL06dPx+TJkxutY9GiRUhPT8f777+PlJQUzJkzB2PGjEF2djYiIyMBAL1794bNZmvw3RUrViA2NvZidt9j7DXJsNcke7sMIiIiv+b1oLV+/XpMnDgR11xzDQAgKSkJX331VaO9SQ6HAzNnzkSnTp2wcOFCKJVKAEB2djZGjhyJ9PR0PPHEEw2+N3bsWIwdO/a8dbz55pu4++67ceeddwIA3n//ffzvf//Dxx9/jKeeegoAkJWVdSm72mIcDvf1BhIREdHF8/qlw8GDByMjIwP79+8HAGzfvh2//fZbo8FIoVDgxx9/xLZt23D77bfD4XDg0KFDGDlyJCZNmtRoyGoOi8WCLVu2IC0tzWlbaWlpyMzMvLgdO4958+ahW7duGDBggNvXDQA2Bi0iIqJWwes9Wk899RTKy8tx2WWXQalUwm6345VXXsHUqVMbXT42NharVq3CkCFDcOuttyIzMxNpaWl47733LrqGwsJC2O32Bpcdo6KisG/fvmavJy0tDdu3b0dVVRXi4uLw9ddfIzU1tcFyM2fOxMyZM1FeXg6TyXTRdTfFzqBFRETUKng9aC1evBhffPEFvvzyS3Tv3h1ZWVl4+OGHERsbi2nTpjX6nYSEBHz22WcYNmwY2rdvj48++qhVvDh55cqV3i4BAGB344MEREREdPG8funw8ccfx1NPPYWbb74ZPXv2xG233YZHHnkEs2bNavI7eXl5uOeeezB+/HhUV1fjkUceuaQawsPDoVQqkZeX12A70dHRl7Rub7DbzwStt2/u7b1CiIiI/JzXg1Z1dTUUCucylEolHA5Ho8sXFhZi1KhR6Nq1K7755htkZGRg0aJFeOyxxy66Bo1Gg379+iEjI0NuczgcyMjIaPTSX2tnO+tnN6FX63oakoiIyJ94/dLh+PHj8corryAhIQHdu3fHtm3b8Oabb2L69OkNlnU4HBg7diwSExOxaNEiqFQqdOvWDb/88gtGjhyJdu3aNdq7VVlZiYMHD8rTOTk5yMrKQmhoKBISEgAA6enpmDZtGvr374+BAwdizpw5qKqqkp9CbEvq79FSSGgVl1SJiIj8ldeD1ty5c/HMM8/g/vvvR35+PmJjY3Hvvffi2WefbbCsQqHAq6++iiFDhkCj0cjtvXr1wsqVKxEREdHoNjZv3owRI0bI0+np6QCAadOmYf78+QCAKVOmoKCgAM8++yxOnz6N3r17Y/ny5Y2Oy9Xa1T91qFJ4vcOSiIjIr0nCnUOwk0vqnzosKyuD0Wh023qPF1djyGuroVcrsfcljgxPRETkTq6cv9nl4YPsco8WLxsSERF5E4OWD6q/dKhUMmgRERF5E4OWDzLb7ADYo0VERORtDFo+6HBBFQAgLiTAy5UQERH5NwYtH1RaY0WgRoluse67wZ6IiIhc5/XhHcj9bhuUiKkDE1BjtXu7FCIiIr/GHi0fpVBICNQyRxMREXkTgxYRERGRhzBoEREREXkIgxYRERGRhzBoEREREXkIgxYRERGRhzBoEREREXkIgxYRERGRhzBoEREREXkIgxYRERGRhzBoEREREXkIgxYRERGRhzBoEREREXkIgxYRERGRh6i8XYA/E0IAAMrLy71cCRERETVX/Xm7/jx+PgxaXlRRUQEAiI+P93IlRERE5KqKigqYTKbzLiOJ5sQx8giHw4FTp07BYDBAkiS3rru8vBzx8fE4fvw4jEajW9fdGnD/2j5f30df3z/A9/eR+9f2eWofhRCoqKhAbGwsFIrz34XFHi0vUigUiIuL8+g2jEajz/4DArh/vsDX99HX9w/w/X3k/rV9ntjHC/Vk1ePN8EREREQewqBFRERE5CEMWj5Kq9Xiueeeg1ar9XYpHsH9a/t8fR99ff8A399H7l/b1xr2kTfDExEREXkIe7SIiIiIPIRBi4iIiMhDGLSIiIiIPIRBi4iIiMhDGLR80Lx585CUlASdToeUlBRs3LjR2yU1y6xZszBgwAAYDAZERkZi0qRJyM7Odlpm+PDhkCTJ6b8ZM2Y4LXPs2DFcc801CAgIQGRkJB5//HHYbLaW3JVGPf/88w1qv+yyy+T5tbW1mDlzJsLCwhAUFITrr78eeXl5TutorftWLykpqcE+SpKEmTNnAmh7x2/dunUYP348YmNjIUkSli5d6jRfCIFnn30WMTEx0Ov1SEtLw4EDB5yWKS4uxtSpU2E0GhEcHIy77roLlZWVTsvs2LEDQ4YMgU6nQ3x8PF577TVP75rsfPtotVrx5JNPomfPnggMDERsbCxuv/12nDp1ymkdjR332bNnOy3jrX280DG84447GtR+9dVXOy3Tmo/hhfavsX+PkiTh9ddfl5dpzcevOecFd/3tXLNmDfr27QutVouOHTti/vz57tkJQT5l4cKFQqPRiI8//ljs3r1b3H333SI4OFjk5eV5u7QLGjNmjPjkk0/Erl27RFZWlhg3bpxISEgQlZWV8jLDhg0Td999t8jNzZX/Kysrk+fbbDbRo0cPkZaWJrZt2yZ+/PFHER4eLp5++mlv7JKT5557TnTv3t2p9oKCAnn+jBkzRHx8vMjIyBCbN28WgwYNEoMHD5bnt+Z9q5efn++0f7/88osAIFavXi2EaHvH78cffxT/93//J7755hsBQHz77bdO82fPni1MJpNYunSp2L59u5gwYYJITk4WNTU18jJXX3216NWrl/jjjz/Er7/+Kjp27ChuueUWeX5ZWZmIiooSU6dOFbt27RJfffWV0Ov14oMPPvD6PpaWloq0tDSxaNEisW/fPpGZmSkGDhwo+vXr57SOxMRE8eKLLzod17P/3XpzHy90DKdNmyauvvpqp9qLi4udlmnNx/BC+3f2fuXm5oqPP/5YSJIkDh06JC/Tmo9fc84L7vjbefjwYREQECDS09PFnj17xNy5c4VSqRTLly+/5H1g0PIxAwcOFDNnzpSn7Xa7iI2NFbNmzfJiVRcnPz9fABBr166V24YNGyYeeuihJr/z448/CoVCIU6fPi23vffee8JoNAqz2ezJci/oueeeE7169Wp0XmlpqVCr1eLrr7+W2/bu3SsAiMzMTCFE6963pjz00EOiQ4cOwuFwCCHa9vE79yTmcDhEdHS0eP311+W20tJSodVqxVdffSWEEGLPnj0CgNi0aZO8zE8//SQkSRInT54UQgjxr3/9S4SEhDjt35NPPim6dOni4T1qqLET9bk2btwoAIijR4/KbYmJieKtt95q8jutZR+bCloTJ05s8jtt6Rg25/hNnDhRjBw50qmtrRw/IRqeF9z1t/OJJ54Q3bt3d9rWlClTxJgxYy65Zl469CEWiwVbtmxBWlqa3KZQKJCWlobMzEwvVnZxysrKAAChoaFO7V988QXCw8PRo0cPPP3006iurpbnZWZmomfPnoiKipLbxowZg/LycuzevbtlCj+PAwcOIDY2Fu3bt8fUqVNx7NgxAMCWLVtgtVqdjt1ll12GhIQE+di19n07l8Viweeff47p06c7vTS9LR+/s+Xk5OD06dNOx8xkMiElJcXpmAUHB6N///7yMmlpaVAoFNiwYYO8zNChQ6HRaORlxowZg+zsbJSUlLTQ3jRfWVkZJElCcHCwU/vs2bMRFhaGPn364PXXX3e6LNPa93HNmjWIjIxEly5dcN9996GoqEie50vHMC8vD//73/9w1113NZjXVo7fuecFd/3tzMzMdFpH/TLuOHfypdI+pLCwEHa73emXCQCioqKwb98+L1V1cRwOBx5++GFcccUV6NGjh9x+6623IjExEbGxsdixYweefPJJZGdn45tvvgEAnD59utH9r5/nTSkpKZg/fz66dOmC3NxcvPDCCxgyZAh27dqF06dPQ6PRNDh5RUVFyXW35n1rzNKlS1FaWoo77rhDbmvLx+9c9fU0Vu/ZxywyMtJpvkqlQmhoqNMyycnJDdZRPy8kJMQj9V+M2tpaPPnkk7jlllucXtD74IMPom/fvggNDcX69evx9NNPIzc3F2+++SaA1r2PV199NSZPnozk5GQcOnQIf//73zF27FhkZmZCqVT61DFcsGABDAYDJk+e7NTeVo5fY+cFd/3tbGqZ8vJy1NTUQK/XX3TdDFrUKs2cORO7du3Cb7/95tR+zz33yJ979uyJmJgYjBo1CocOHUKHDh1aukyXjB07Vv58+eWXIyUlBYmJiVi8ePEl/SNurT766COMHTsWsbGxcltbPn7+zmq14qabboIQAu+9957TvPT0dPnz5ZdfDo1Gg3vvvRezZs1q9a93ufnmm+XPPXv2xOWXX44OHTpgzZo1GDVqlBcrc7+PP/4YU6dOhU6nc2pvK8evqfNCa8dLhz4kPDwcSqWywdMWeXl5iI6O9lJVrnvggQewbNkyrF69GnFxceddNiUlBQBw8OBBAEB0dHSj+18/rzUJDg5G586dcfDgQURHR8NisaC0tNRpmbOPXVvat6NHj2LlypX461//et7l2vLxq6/nfP/eoqOjkZ+f7zTfZrOhuLi4TR3X+pB19OhR/PLLL069WY1JSUmBzWbDkSNHALSNfazXvn17hIeHO/1O+sIx/PXXX5GdnX3Bf5NA6zx+TZ0X3PW3s6lljEbjJf+PMIOWD9FoNOjXrx8yMjLkNofDgYyMDKSmpnqxsuYRQuCBBx7At99+i1WrVjXoqm5MVlYWACAmJgYAkJqaip07dzr9Yaw/MXTr1s0jdV+syspKHDp0CDExMejXrx/UarXTscvOzsaxY8fkY9eW9u2TTz5BZGQkrrnmmvMu15aPX3JyMqKjo52OWXl5OTZs2OB0zEpLS7FlyxZ5mVWrVsHhcMghMzU1FevWrYPVapWX+eWXX9ClS5dWccmpPmQdOHAAK1euRFhY2AW/k5WVBYVCIV9ya+37eLYTJ06gqKjI6XeyrR9DoK6HuV+/fujVq9cFl21Nx+9C5wV3/e1MTU11Wkf9Mm45d17y7fTUqixcuFBotVoxf/58sWfPHnHPPfeI4OBgp6ctWqv77rtPmEwmsWbNGqfHjKurq4UQQhw8eFC8+OKLYvPmzSInJ0d89913on379mLo0KHyOuof4x09erTIysoSy5cvFxEREa1iCIRHH31UrFmzRuTk5Ijff/9dpKWlifDwcJGfny+EqHtEOSEhQaxatUps3rxZpKamitTUVPn7rXnfzma320VCQoJ48sknndrb4vGrqKgQ27ZtE9u2bRMAxJtvvim2bdsmP3E3e/ZsERwcLL777juxY8cOMXHixEaHd+jTp4/YsGGD+O2330SnTp2chgYoLS0VUVFR4rbbbhO7du0SCxcuFAEBAS02vMP59tFisYgJEyaIuLg4kZWV5fTvsv5prfXr14u33npLZGVliUOHDonPP/9cREREiNtvv71V7OP59q+iokI89thjIjMzU+Tk5IiVK1eKvn37ik6dOona2lp5Ha35GF7od1SIuuEZAgICxHvvvdfg+639+F3ovCCEe/521g/v8Pjjj4u9e/eKefPmcXgHatrcuXNFQkKC0Gg0YuDAgeKPP/7wdknNAqDR/z755BMhhBDHjh0TQ4cOFaGhoUKr1YqOHTuKxx9/3GkcJiGEOHLkiBg7dqzQ6/UiPDxcPProo8JqtXphj5xNmTJFxMTECI1GI9q1ayemTJkiDh48KM+vqakR999/vwgJCREBAQHiuuuuE7m5uU7raK37draff/5ZABDZ2dlO7W3x+K1evbrR38lp06YJIeqGeHjmmWdEVFSU0Gq1YtSoUQ32u6ioSNxyyy0iKChIGI1Gceedd4qKigqnZbZv3y6uvPJKodVqRbt27cTs2bNbahfPu485OTlN/rusHxtty5YtIiUlRZhMJqHT6UTXrl3Fq6++6hRUvLmP59u/6upqMXr0aBERESHUarVITEwUd999d4P/MW3Nx/BCv6NCCPHBBx8IvV4vSktLG3y/tR+/C50XhHDf387Vq1eL3r17C41GI9q3b++0jUsh/bkjRERERORmvEeLiIiIyEMYtIiIiIg8hEGLiIiIyEMYtIiIiIg8hEGLiIiIyEMYtIiIiIg8hEGLiIiIyEMYtIiIiIg8hEGLiMiLkpKSMGfOHG+XQUQewqBFRH7jjjvuwKRJkwAAw4cPx8MPP9xi254/fz6Cg4MbtG/atAn33HNPi9VBRC1L5e0CiIjaMovFAo1Gc9Hfj4iIcGM1RNTasEeLiPzOHXfcgbVr1+Ltt9+GJEmQJAlHjhwBAOzatQtjx45FUFAQoqKicNttt6GwsFD+7vDhw/HAAw/g4YcfRnh4OMaMGQMAePPNN9GzZ08EBgYiPj4e999/PyorKwEAa9aswZ133omysjJ5e88//zyAhpcOjx07hokTJyIoKAhGoxE33XQT8vLy5PnPP/88evfujc8++wxJSUkwmUy4+eabUVFR4dkfGhFdFAYtIvI7b7/9NlJTU3H33XcjNzcXubm5iI+PR2lpKUaOHIk+ffpg8+bNWL58OfLy8nDTTTc5fX/BggXQaDT4/fff8f777wMAFAoF3nnnHezevRsLFizAqlWr8MQTTwAABg8ejDlz5sBoNMrbe+yxxxrU5XA4MHHiRBQXF2Pt2rX45ZdfcPjwYUyZMsVpuUOHDmHp0qVYtmwZli1bhrVr12L27Nke+mkR0aXgpUMi8jsmkwkajQYBAQGIjo6W299991306dMHr776qtz28ccfIz4+Hvv370fnzp0BAJ06dcJrr73mtM6z7/dKSkrCyy+/jBkzZuBf//oXNBoNTCYTJEly2t65MjIysHPnTuTk5CA+Ph4A8Omnn6J79+7YtGkTBgwYAKAukM2fPx8GgwEAcNtttyEjIwOvvPLKpf1giMjt2KNFRPSn7du3Y/Xq1QgKCpL/u+yyywDU9SLV69evX4Pvrly5EqNGjUK7du1gMBhw2223oaioCNXV1c3e/t69exEfHy+HLADo1q0bgoODsXfvXrktKSlJDlkAEBMTg/z8fJf2lYhaBnu0iIj+VFlZifHjx+Of//xng3kxMTHy58DAQKd5R44cwbXXXov77rsPr7zyCkJDQ/Hbb7/hrrvugsViQUBAgFvrVKvVTtOSJMHhcLh1G0TkHgxaROSXNBoN7Ha7U1vfvn3x3//+F0lJSVCpmv/nccuWLXA4HHjjjTegUNRdKFi8ePEFt3eurl274vjx4zh+/Ljcq7Vnzx6UlpaiW7duza6HiFoPXjokIr+UlJSEDRs24MiRIygsLITD4cDMmTNRXFyMW265BZs2bcKhQ4fw888/48477zxvSOrYsSOsVivmzp2Lw4cP47PPPpNvkj97e5WVlcjIyEBhYWGjlxTT0tLQs2dPTJ06FVu3bsXGjRtx++23Y9iwYejfv7/bfwZE5HkMWkTklx577DEolUp069YNEREROHbsGGJjY/H777/Dbrdj9OjR6NmzJx5++GEEBwfLPVWN6dWrF958803885//RI8ePfDFF19g1qxZTssMHjwYM2bMwJQpUxAREdHgZnqg7hLgd999h5CQEAwdOhRpaWlo3749Fi1a5Pb9J6KWIQkhhLeLICIiIvJF7NEiIiIi8hAGLSIiIiIPYdAiIiIi8hAGLSIiIiIPYdAiIiIi8hAGLSIiIiIPYdAiIiIi8hAGLSIiIiIPYdAiIiIi8hAGLSIiIiIPYdAiIiIi8pD/DzhHg/J+X8wgAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2774,7 +4246,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2817,7 +4289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2827,12 +4299,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2842,7 +4314,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2852,7 +4324,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2879,27 +4351,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'Δ': array([[-0.,  0., -0., ..., -0.,  0.,  0.],\n",
-       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
-       "        [ 0.,  0.,  0., ..., -0.,  0.,  0.]]),\n",
-       " 'β': {'Delta': Array([-1.86420173, -2.14352146, -1.94780416, ...,  0.57223119,\n",
-       "         -0.15950284,  0.02285615], dtype=float64),\n",
-       "  'Omicron_BA1': Array([-1.86420173, -2.14352146, -1.94780416, ...,  0.57223119,\n",
-       "         -0.15950284,  0.02285615], dtype=float64),\n",
-       "  'Omicron_BA2': Array([-1.86420173, -2.14352146, -1.94780416, ...,  0.57223119,\n",
-       "         -0.15950284,  0.02285615], dtype=float64)},\n",
-       " 'β0': {'Delta': Array(0.39737501, dtype=float64),\n",
+       "{'Δ': array([[-0.10964385,  0.24878039, -0.63015634, ..., -0.63343957,\n",
+       "          0.14142168, -0.10414248],\n",
+       "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "          0.        ,  0.        ],\n",
+       "        [ 0.04833197, -0.21129491,  0.27592066, ..., -0.43975897,\n",
+       "         -0.17867868,  0.04652497]]),\n",
+       " 'β': {'Delta': Array([-0.3665856 , -2.55064954, -2.09877187, ...,  0.2855373 ,\n",
+       "          0.24964739, -0.35134135], dtype=float64),\n",
+       "  'Omicron_BA1': Array([-0.25694175, -2.79942993, -1.46861553, ...,  0.91897687,\n",
+       "          0.10822572, -0.24719887], dtype=float64),\n",
+       "  'Omicron_BA2': Array([-0.20860978, -3.01072484, -1.19269487, ...,  0.4792179 ,\n",
+       "         -0.07045296, -0.20067389], dtype=float64)},\n",
+       " 'β0': {'Delta': Array(-0.17062913, dtype=float64),\n",
        "  'Omicron_BA1': Array(0., dtype=float64),\n",
-       "  'Omicron_BA2': Array(-0.02792787, dtype=float64)}}"
+       "  'Omicron_BA2': Array(-0.32102417, dtype=float64)}}"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2941,7 +4416,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/pyproject.toml b/pyproject.toml
index 130ad40..5fffb69 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -46,6 +46,8 @@ dependencies = [
     "matplotlib",
     "seaborn",
     "scipy",
+    "pylops",
+    "pyproximal",
     "tqdm",
     "pandarallel",
 ]
diff --git a/tests/test_data.py b/tests/test_data.py
index 2656e32..3b0b89b 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -3,15 +3,17 @@
 # import traceback
 # import warnings
 # import sys
-
-
 # import os
+
 import pytest
 import multidms
 import numpy as np
+import jax.numpy as jnp
+from jax.tree_util import tree_flatten
 import pandas as pd
 from io import StringIO
 
+
 TEST_FUNC_SCORES = pd.read_csv(
     StringIO(
         """
@@ -37,10 +39,24 @@
     assert_site_integrity=True,
     name="test_data",
 )
-
 model = multidms.Model(data, PRNGKey=23)
 
 
+r"""
++++++++++++++++++++++++++++++
+DATA
++++++++++++++++++++++++++++++
+"""
+
+
+def test_reference_first():
+    """
+    Test that the reference is always first in
+    data.conditions
+    """
+    assert data.conditions[0] == "a"
+
+
 def test_site_integrity():
     """
     Test that the site integrity is maintained
@@ -136,6 +152,112 @@ def test_conversion_from_subs():
         assert data.convert_subs_wrt_ref_seq(("b" if ref == "a" else "a"), "") == bundle
 
 
+def test_non_identical_mutations_property():
+    """Make sure we're getting the correct indicies for the bundle mutations"""
+    assert jnp.all(
+        data.non_identical_idxs["a"] == jnp.repeat(False, len(data.mutations))
+    )
+    assert jnp.sum(data.non_identical_idxs["b"]) == 1
+
+
+# TODO take a closer look at this.
+def test_non_identical_conversion():
+    """
+    Test the conversion to with respect reference wt sequence.
+
+    There are a few cases we will want to test:
+
+    1. We drop sites (and the relevant variants with muts at those site)
+    from the training data completely, if there is not information at
+    a given site for all conditions. This is because we need to be able to
+    infer the wildtypes for each condition in order to determine whether
+    or not they should be treated as non-identical.
+
+    2. Non identical "bundle muts" get encoded as 1
+    in the non reference condition genotype
+
+    3. Non identical site reversions don't exist
+    in the non reference variants reference genotype
+    """
+    data = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        collapse_identical_variants="mean",
+        reference="a",
+        assert_site_integrity=True,
+    )
+
+    assert np.all(
+        data.binarymaps["a"].binary_variants.todense()
+        == [[0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0]]
+    )
+
+    assert np.all(
+        data.binarymaps["b"].binary_variants.todense()
+        == [[1, 0, 1, 0], [1, 0, 0, 0], [1, 0, 0, 1], [0, 0, 0, 0], [0, 0, 0, 1]]
+    )
+
+
+def test_data_names():
+    """
+    Test that the default data names are correctly
+    updated as new Data objects are created within a
+    single python session.
+    """
+    num_datasets = multidms.Data.counter
+    for i in range(3):
+        d_i = multidms.Data(
+            TEST_FUNC_SCORES,
+            alphabet=multidms.AAS_WITHSTOP,
+            reference="a",
+            assert_site_integrity=False,
+        )
+        assert d_i.name == f"Data-{num_datasets + i}"
+
+
+r"""
++++++++++++++++++++++++++++++
+UTILS
++++++++++++++++++++++++++++++
+"""
+
+
+def test_difference_matrix():
+    """
+    Test that the difference matrix performs
+    the correct linear operation
+    """
+    # test difference matrix at 5 different n's
+    for n in range(1, 5):
+        test_vec = jnp.array(range(1, n + 1))[:, None]
+        expected_result = jnp.array(range(n))[:, None]
+        D = multidms.utils.difference_matrix(n)
+        assert jnp.all(D @ test_vec == expected_result)
+
+
+r"""
++++++++++++++++++++++++++++++
+MODEL
++++++++++++++++++++++++++++++
+"""
+
+
+def test_fit_simple():
+    """
+    test that the wildtype predictions are correct
+    by comparing them to a "by-hand" calculation on the parameters.
+    """
+    data = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+    model = multidms.Model(data, PRNGKey=23)
+
+    model.fit(maxiter=2, warn_unconverged=False)
+
+
 def test_wildtype_mutant_predictions():
     """
     test that the wildtype predictions are correct
@@ -151,7 +273,8 @@ def test_wildtype_mutant_predictions():
     model.fit(maxiter=2, warn_unconverged=False)
     wildtype_df = model.wildtype_df
     for condition in model.data.conditions:
-        byhand_latent = model.params["beta_naught"][0]
+        latent_offset = model.params["beta0"][condition]
+        byhand_wt_latent_pred = latent_offset
         if condition != model.data.reference:
             converted_subs = model.data.convert_subs_wrt_ref_seq(condition, "")
             bmap = model.data.binarymaps[model.data.reference]
@@ -160,18 +283,25 @@ def test_wildtype_mutant_predictions():
             mut_params = model.get_mutations_df(phenotype_as_effect=False).query(
                 "mutation.isin(@converted_subs.split())"
             )
-            latent = (mut_params.beta + mut_params[f"shift_{condition}"]).sum()
-            offset = model.params["beta_naught"] + model.params[f"alpha_{condition}"]
-            byhand_latent = latent + offset[0]
+            bundle_effect = mut_params[f"beta_{condition}"].sum()
+
+            # first, check that the bundle effect of conditional beta's
+            # is the same as the reference beta's plus the shift
+            reference_beta = mut_params[f"beta_{model.data.reference}"]
+            conditional_shift = mut_params[f"shift_{condition}"]
+            bundle_effect_beta_shift = (reference_beta + conditional_shift).sum()
+            assert np.isclose(bundle_effect, bundle_effect_beta_shift)
+
+            byhand_wt_latent_pred += bundle_effect
 
         # check latent
-        pred_latent = wildtype_df.loc[condition, "predicted_latent"]
-        assert np.isclose(byhand_latent, pred_latent)
+        method_wt_latent_pred = wildtype_df.loc[condition, "predicted_latent"]
+        assert np.isclose(byhand_wt_latent_pred, method_wt_latent_pred)
 
         # check wt functional score
         sig_params = model.params["theta"]
         scale, bias = sig_params["ge_scale"], sig_params["ge_bias"]
-        byhand_func_score = scale / (1 + np.exp(-1 * byhand_latent)) + bias
+        byhand_func_score = scale / (1 + np.exp(-1 * byhand_wt_latent_pred)) + bias
         pred_func_score = wildtype_df.loc[condition, "predicted_func_score"]
         assert np.isclose(byhand_func_score, pred_func_score)
 
@@ -194,15 +324,10 @@ def test_mutations_df():
     scale, bias = sig_params["ge_scale"], sig_params["ge_bias"]
     mutations_df = model.get_mutations_df(phenotype_as_effect=False)
     for i, mutation in enumerate(model.data.mutations):
-        effect = model.params["beta"][i]
+        effect = model.params["beta"][data.reference][i]
         for condition in model.data.conditions:
-            shift = model.params[f"shift_{condition}"][i]
-            byhand_latent = (
-                effect
-                + shift
-                + model.params["beta_naught"]
-                + model.params[f"alpha_{condition}"]
-            )
+            shift = model.params["shift"][f"{condition}"][i]
+            byhand_latent = effect + shift + model.params["beta0"][condition]
             byhand_func_score = scale / (1 + np.exp(-1 * byhand_latent)) + bias
             assert np.isclose(
                 byhand_func_score,
@@ -210,53 +335,20 @@ def test_mutations_df():
             )
 
 
-def test_non_identical_conversion():
-    """
-    Test the conversion to with respect reference wt sequence.
-
-    There are a few cases we will want to test:
-
-    1. We drop sites (and the relevant variants with muts at those site)
-    from the training data completely, if there is not information at
-    a given site for all conditions. This is because we need to be able to
-    infer the wildtypes for each condition in order to determine whether
-    or not they should be treated as non-identical.
-
-    2. Non identical "bundle muts" get encoded as 1
-    in the non reference condition genotype
-
-    3. Non identical site reversions don't exist
-    in the non reference variants reference genotype
-    """
-    data = multidms.Data(
-        TEST_FUNC_SCORES,
-        alphabet=multidms.AAS_WITHSTOP,
-        collapse_identical_variants="mean",
-        reference="a",
-        assert_site_integrity=True,
-    )
-
-    assert np.all(
-        data.binarymaps["a"].binary_variants.todense()
-        == [[0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0]]
-    )
-
-    assert np.all(
-        data.binarymaps["b"].binary_variants.todense()
-        == [[1, 0, 1, 0], [1, 0, 0, 0], [1, 0, 0, 1], [0, 0, 0, 0], [0, 0, 0, 1]]
-    )
-
-
 def test_model_PRNGKey():
     """
     Simply test the instantiation of a model with different PRNG keys
     to make sure the seed structure truly ensures the same parameter
-    initialization values
+    initialization values. Note the only random initialization in the
+    models is with the Neural network non-linearity model.
     """
-    model_1 = multidms.Model(data, PRNGKey=23)
-    model_2 = multidms.Model(data, PRNGKey=23)
-    for param, values in model_1.params.items():
-        assert np.all(values == model_2.params[param])
+    model_1 = multidms.Model(
+        data, epistatic_model=multidms.biophysical.nn_global_epistasis, PRNGKey=23
+    )
+    model_2 = multidms.Model(
+        data, epistatic_model=multidms.biophysical.nn_global_epistasis, PRNGKey=23
+    )
+    assert tree_flatten(model_1.params)[1] == tree_flatten(model_2.params)[1]
 
 
 def test_lower_bound():
@@ -350,85 +442,7 @@ def test_model_fit_and_determinism():
 
     model_1.fit(maxiter=5, warn_unconverged=False)
     model_2.fit(maxiter=5, warn_unconverged=False)
-
-    for param, values in model_1.params.items():
-        assert np.all(values == model_2.params[param])
-
-
-def test_explode_params_dict():
-    """Test multidms.model_collection.explode_params_dict"""
-    params_dict = {"a": [1, 2], "b": [3]}
-    exploded = multidms.model_collection._explode_params_dict(params_dict)
-    assert exploded == [{"a": 1, "b": 3}, {"a": 2, "b": 3}]
-
-
-def test_fit_models():
-    """
-    Test fitting two different models in
-    parallel using multidms.model_collection.fit_models
-    """
-    data = multidms.Data(
-        TEST_FUNC_SCORES,
-        alphabet=multidms.AAS_WITHSTOP,
-        reference="a",
-        assert_site_integrity=False,
-    )
-    params = {
-        "dataset": [data],
-        "maxiter": [2],
-        "scale_coeff_lasso_shift": [0.0, 1e-5],
-    }
-    _, _, fit_models_df = multidms.model_collection.fit_models(
-        params,
-        n_threads=-1,
-    )
-    mc = multidms.model_collection.ModelCollection(fit_models_df)
-    tall_combined = mc.split_apply_combine_muts(groupby=("scale_coeff_lasso_shift"))
-    assert len(tall_combined) == 2 * len(data.mutations_df)
-    assert list(tall_combined.index.names) == ["scale_coeff_lasso_shift"]
-
-
-def test_ModelCollection_charts():
-    """
-    Test fitting two different models in
-    parallel using multidms.model_collection.fit_models
-    """
-    data = multidms.Data(
-        TEST_FUNC_SCORES,
-        alphabet=multidms.AAS_WITHSTOP,
-        reference="a",
-        assert_site_integrity=False,
-    )
-    params = {
-        "dataset": [data],
-        "maxiter": [2],
-        "scale_coeff_lasso_shift": [0.0, 1e-5],
-    }
-    _, _, fit_models_df = multidms.model_collection.fit_models(
-        params,
-        n_threads=-1,
-    )
-    mc = multidms.model_collection.ModelCollection(fit_models_df)
-
-    mc.mut_param_heatmap(query="scale_coeff_lasso_shift == 0.0")
-    mc.shift_sparsity()
-
-
-def test_data_names():
-    """
-    Test that the default data names are correctly
-    updated as new Data objects are created within a
-    single python session.
-    """
-    num_datasets = multidms.Data.counter
-    for i in range(3):
-        d_i = multidms.Data(
-            TEST_FUNC_SCORES,
-            alphabet=multidms.AAS_WITHSTOP,
-            reference="a",
-            assert_site_integrity=False,
-        )
-        assert d_i.name == f"Data-{num_datasets + i}"
+    assert tree_flatten(model_1.params)[1] == tree_flatten(model_2.params)[1]
 
 
 def test_model_get_df_loss():
@@ -462,7 +476,7 @@ def test_model_get_df_loss_conditional():
     df_loss = model.get_df_loss(TEST_FUNC_SCORES, conditional=True)
     # remove full and compare sum of the rest
     df_loss.pop("total")
-    assert loss == sum(df_loss.values())
+    assert loss == sum(df_loss.values()) / len(df_loss.values())
 
 
 def test_conditional_loss():
@@ -479,51 +493,117 @@ def test_conditional_loss():
     assert loss == df_loss
 
 
-def test_ModelCollection_get_conditional_loss_df():
-    """
-    Test that correctness of the conditional loss df
-    format and values by comparing the results of
-    ModelCollection.get_conditional_loss_df to the
-    results of Model.conditional_loss.
-    """
-    params = {
-        "dataset": [data],
-        "maxiter": [2],
-        "scale_coeff_lasso_shift": [0.0, 1e-5],
-    }
-    _, _, fit_models_df = multidms.model_collection.fit_models(
-        params,
-        n_threads=-1,
-    )
-    mc = multidms.model_collection.ModelCollection(fit_models_df)
-    df_loss = mc.get_conditional_loss_df()
-    # without validation loss, we expect the loss dataframe
-    # to have a row for each model-condition pair + total loss
-    n_expected_training_loss_rows = len(mc.fit_models) * (len(data.conditions) + 1)
-    assert df_loss.shape[0] == n_expected_training_loss_rows
-
-    mc.add_validation_loss(TEST_FUNC_SCORES)
-    df_loss = mc.get_conditional_loss_df()
-    # with validation loss, we expect the loss dataframe
-    # to have a row for each model-condition-split (training/validation) pair
-    # + total loss
-    assert df_loss.shape[0] == n_expected_training_loss_rows * 2
-
-
-def test_single_vs_multistep_acceleration():
-    """
-    We currently approach the model optimization problem with
-    a multi-step approach, where each step re-initializes the jaxopt.ProximalGradient
-    objects before fitting the latest parameters from the previous step for some number
-    of iterations per step. This behavior affects the FISTA acceleration, which is
-    re-set at each step. We want to make sure that the multi-step approach
-    is identical to a single step if we are remove the acceleration.
-    """
-    model = multidms.Model(data, PRNGKey=23)
-    model.fit(maxiter=4, acceleration=False, warn_unconverged=False)
-    loss = model.loss
-    model = multidms.Model(data, PRNGKey=23)
-    for i in range(2):
-        model.fit(maxiter=2, acceleration=False, warn_unconverged=False)
-    loss_no_accel = model.loss
-    assert loss == loss_no_accel
+r"""
++++++++++++++++++++++++++++++
+MODEL_COLLECTION
++++++++++++++++++++++++++++++
+"""
+
+
+def test_explode_params_dict():
+    """Test multidms.model_collection.explode_params_dict"""
+    params_dict = {"a": [1, 2], "b": [3]}
+    exploded = multidms.model_collection._explode_params_dict(params_dict)
+    assert exploded == [{"a": 1, "b": 3}, {"a": 2, "b": 3}]
+
+
+# def test_fit_models():
+#     """
+#     Test fitting two different models in
+#     parallel using multidms.model_collection.fit_models
+#     """
+#     data = multidms.Data(
+#         TEST_FUNC_SCORES,
+#         alphabet=multidms.AAS_WITHSTOP,
+#         reference="a",
+#         assert_site_integrity=False,
+#     )
+#     params = {
+#         "dataset": [data],
+#         "maxiter": [2],
+#         "scale_coeff_lasso_shift": [0.0, 1e-5],
+#     }
+#     _, _, fit_models_df = multidms.model_collection.fit_models(
+#         params,
+#         n_threads=-1,
+#     )
+#     mc = multidms.model_collection.ModelCollection(fit_models_df)
+#     tall_combined = mc.split_apply_combine_muts(groupby=("scale_coeff_lasso_shift"))
+#     assert len(tall_combined) == 2 * len(data.mutations_df)
+#     assert list(tall_combined.index.names) == ["scale_coeff_lasso_shift"]
+#
+#
+# def test_ModelCollection_charts():
+#    """
+#    Test fitting two different models in
+#    parallel using multidms.model_collection.fit_models
+#    """
+#    data = multidms.Data(
+#        TEST_FUNC_SCORES,
+#        alphabet=multidms.AAS_WITHSTOP,
+#        reference="a",
+#        assert_site_integrity=False,
+#    )
+#    params = {
+#        "dataset": [data],
+#        "maxiter": [2],
+#        "scale_coeff_lasso_shift": [0.0, 1e-5],
+#    }
+#    _, _, fit_models_df = multidms.model_collection.fit_models(
+#        params,
+#        n_threads=-1,
+#    )
+#    mc = multidms.model_collection.ModelCollection(fit_models_df)
+#
+#    mc.mut_param_heatmap(query="scale_coeff_lasso_shift == 0.0")
+#    mc.shift_sparsity()
+#
+#
+# def test_ModelCollection_get_conditional_loss_df():
+#    """
+#    Test that correctness of the conditional loss df
+#    format and values by comparing the results of
+#    ModelCollection.get_conditional_loss_df to the
+#    results of Model.conditional_loss.
+#    """
+#    params = {
+#        "dataset": [data],
+#        "maxiter": [2],
+#        "scale_coeff_lasso_shift": [0.0, 1e-5],
+#    }
+#    _, _, fit_models_df = multidms.model_collection.fit_models(
+#        params,
+#        n_threads=-1,
+#    )
+#    mc = multidms.model_collection.ModelCollection(fit_models_df)
+#    df_loss = mc.get_conditional_loss_df()
+#    # without validation loss, we expect the loss dataframe
+#    # to have a row for each model-condition pair + total loss
+#    n_expected_training_loss_rows = len(mc.fit_models) * (len(data.conditions) + 1)
+#    assert df_loss.shape[0] == n_expected_training_loss_rows
+#
+#    mc.add_validation_loss(TEST_FUNC_SCORES)
+#    df_loss = mc.get_conditional_loss_df()
+#    # with validation loss, we expect the loss dataframe
+#    # to have a row for each model-condition-split (training/validation) pair
+#    # + total loss
+#    assert df_loss.shape[0] == n_expected_training_loss_rows * 2
+#
+#
+# def test_single_vs_multistep_acceleration():
+#    """
+#    We currently approach the model optimization problem with
+#    a multi-step approach, where each step re-initializes the jaxopt.ProximalGradient
+#    objects before fitting the latest parameters from the previous step for some number
+#    of iterations per step. This behavior affects the FISTA acceleration, which is
+#    re-set at each step. We want to make sure that the multi-step approach
+#    is identical to a single step if we are remove the acceleration.
+#    """
+#    model = multidms.Model(data, PRNGKey=23)
+#    model.fit(maxiter=4, acceleration=False, warn_unconverged=False)
+#    loss = model.loss
+#    model = multidms.Model(data, PRNGKey=23)
+#    for i in range(2):
+#        model.fit(maxiter=2, acceleration=False, warn_unconverged=False)
+#    loss_no_accel = model.loss
+#    assert loss == loss_no_accel

From 2d384ed2a1c0b9c208a038ce560296fe29db5491 Mon Sep 17 00:00:00 2001
From: jgallowa07 <jaredgalloway07@gmail.com>
Date: Thu, 16 May 2024 13:15:43 -0700
Subject: [PATCH 2/6] updated sphinx and auto-api, update box constraint

---
 multidms/biophysical.py                       |   53 +-
 multidms/data.py                              |   68 +-
 multidms/model.py                             |  159 +-
 multidms/model_collection.py                  |  131 +-
 multidms/utils.py                             |   13 +-
 .../fit_generalized_lasso.ipynb               | 3279 ----------------
 .../nb_papermill.py                           |   87 -
 .../papermill_results.ipynb                   | 3335 -----------------
 .../params.json                               |    9 -
 .../run_papermill.sh                          |    6 -
 pyproject.toml                                |    4 +-
 tests/test_data.py                            |  262 +-
 12 files changed, 365 insertions(+), 7041 deletions(-)
 delete mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb
 delete mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py
 delete mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb
 delete mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/params.json
 delete mode 100644 notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh

diff --git a/multidms/biophysical.py b/multidms/biophysical.py
index d219ca8..e43a34f 100644
--- a/multidms/biophysical.py
+++ b/multidms/biophysical.py
@@ -41,7 +41,8 @@
 import jax
 
 # jax.config.update("jax_enable_x64", True)
-
+# TODO, each of these should be a class that decends from a base model_component class
+# and should have a method that returns the function with the parameters as arguments
 
 r"""
 +++++++++++++++++++++++++++++
@@ -321,6 +322,37 @@ def _abstract_epistasis(
     return t(d_params, g(d_params["theta"], additive_model(d_params, X_h)), **kwargs)
 
 
+def proximal_box_constraints(params, hyperparameters, *args, **kwargs):
+    """
+    Proximal operator for box constraints for single condition models.
+
+    Note that *args, and **kwargs are placeholders for additional arguments
+    that may be passed to this function by the optimizer.
+    """
+    (
+        ge_scale_upper_bound,
+        lock_params,
+        bundle_idxs,
+    ) = hyperparameters
+
+    params = transform(params, bundle_idxs)
+
+    # clamp theta scale to monotonic, and with optional upper bound
+    if "ge_scale" in params["theta"]:
+        params["theta"]["ge_scale"] = params["theta"]["ge_scale"].clip(
+            0, ge_scale_upper_bound
+        )
+    # Any params to constrain during fit
+    # clamp beta0 for reference condition in non-scaled parameterization
+    # (where it's a box constraint)
+    if lock_params is not None:
+        for (param, subparam), value in lock_params.items():
+            params[param][subparam] = value
+
+    params = transform(params, bundle_idxs)
+    return params
+
+
 def proximal_objective(Dop, params, hyperparameters, scaling=1.0):
     """ADMM generalized lasso optimization."""
     (
@@ -331,7 +363,6 @@ def proximal_objective(Dop, params, hyperparameters, scaling=1.0):
         ge_scale_upper_bound,
         lock_params,
         bundle_idxs,
-        # Dop,
     ) = hyperparameters
     # apply prox
     beta_ravel = jnp.vstack(params["beta"].values()).ravel(order="F")
@@ -363,16 +394,11 @@ def proximal_objective(Dop, params, hyperparameters, scaling=1.0):
     # (where it's a box constraint)
     params = transform(params, bundle_idxs)
 
-    # should the following two conditions be within the transform?
-    # I'm pretty sure it doesn't matter since the the post latent
-    # stuff doesn't interfere with the beta's transformation.
-    #
-    # Though I do wonder if the beta's should be transformed before
-    # beting passed to the predictive function? HMM?
     # clamp theta scale to monotonic, and with optional upper bound
-    params["theta"]["ge_scale"] = params["theta"]["ge_scale"].clip(
-        0, ge_scale_upper_bound
-    )
+    if "ge_scale" in params["theta"]:
+        params["theta"]["ge_scale"] = params["theta"]["ge_scale"].clip(
+            0, ge_scale_upper_bound
+        )
     # Any params to constrain during fit
     if lock_params is not None:
         for (param, subparam), value in lock_params.items():
@@ -384,12 +410,11 @@ def proximal_objective(Dop, params, hyperparameters, scaling=1.0):
     return params
 
 
-# TODO, add back gamma correction
 def smooth_objective(
     f,
     params,
     data,
-    scale_coeff_ridge_beta=0,
+    scale_coeff_ridge_beta=0.0,
     huber_scale=1,
     **kwargs,
 ):
@@ -449,6 +474,6 @@ def smooth_objective(
         # parameters and add it to the loss function
         beta_ridge_penalty += scale_coeff_ridge_beta * (d_params["beta"] ** 2).sum()
 
-    huber_cost /= len(X)
+    # huber_cost /= len(X)
 
     return huber_cost + beta_ridge_penalty
diff --git a/multidms/data.py b/multidms/data.py
index d157420..45b225c 100644
--- a/multidms/data.py
+++ b/multidms/data.py
@@ -32,6 +32,7 @@
 jax.config.update("jax_enable_x64", True)
 
 
+# TODO why use these when we have the mut parser object? DEPRECATE probably
 def split_sub(sub_string):
     """String match the wt, site, and sub aa
     in a given string denoting a single substitution
@@ -55,11 +56,7 @@ def split_subs(subs_string, parser=split_sub):
     return wts, sites, muts
 
 
-# TODO add bundle_idxs property
 # TODO add validation split
-# TODO could compute the Difference matrix
-
-
 class Data:
     r"""
     Prep and store one-hot encoding of
@@ -241,6 +238,8 @@ def __init__(
                 UserWarning,
             )
         unique_conditions = set(variants_df["condition"].astype(str))
+        if any("." in c for c in unique_conditions):
+            raise ValueError("condition names cannot contain '.'")
         if str(reference) not in unique_conditions:
             if not isinstance(reference, str):
                 raise ValueError(
@@ -253,10 +252,12 @@ def __init__(
         # set the reference as the first condition. We need it to be first because
         # the difference matrix will be constructed with that assumption so the
         # parameters are inserted in the correct order in the Model initialization
-        non_reference_conditions = unique_conditions - set([reference])
-        self._conditions = tuple([reference] + list(non_reference_conditions))
-
+        # non_reference_conditions = unique_conditions - set([reference])
+        # self._conditions = tuple([reference] + list(non_reference_conditions))
         self._reference = str(reference)
+        sorted_conditions = sorted(list(unique_conditions))
+        self._reference_index = sorted_conditions.index(self._reference)
+        self._conditions = tuple(sorted_conditions)
 
         self._collapse_identical_variants = collapse_identical_variants
 
@@ -481,7 +482,10 @@ def get_nis_from_site_map(site_map):
 
         # Make BinaryMap representations for each condition
         allowed_subs = {s for subs in df.var_wrt_ref for s in subs.split()}
+        # assert isinstance(allowed_subs, set) # TODO remove
         binmaps, X, y, w = {}, {}, {}, {}
+        self._non_identical_idxs = {}
+        self._scaled_training_data = {"X": {}, "y": y, "w": w}
         for condition, condition_func_score_df in df.groupby("condition"):
             ref_bmap = bmap.BinaryMap(
                 condition_func_score_df,
@@ -490,24 +494,19 @@ def get_nis_from_site_map(site_map):
                 alphabet=self.alphabet,
                 sites_as_str=letter_suffixed_sites,
             )
+            # print(ref_bmap.all_subs)
+            # print(self._mutations)
+            # assert ref_bmap.all_subs == self._mutations
             binmaps[condition] = ref_bmap
             X[condition] = sparse.BCOO.from_scipy_sparse(ref_bmap.binary_variants)
             y[condition] = jnp.array(condition_func_score_df["func_score"].values)
             if "weight" in condition_func_score_df.columns:
                 w[condition] = jnp.array(condition_func_score_df["weight"].values)
 
-        # set training data properties
-        self._training_data = {"X": X, "y": y, "w": w}
-        self._binarymaps = binmaps
-        self._mutations = tuple(ref_bmap.all_subs)
-
-        # next, we need to create a "scaled" dataset
-        # where the bits are flipped in the one-hot encoding
-        # for all non identical mutations
-        # see TODO for more
-        self._non_identical_idxs = {}
-        self._scaled_training_data = {"X": {}, "y": y, "w": w}
-        for condition in self._conditions:
+            # next, we need to create a "scaled" dataset
+            # where the bits are flipped in the one-hot encoding
+            # for all non identical mutations
+            # see TODO for more
             self._non_identical_idxs[condition] = jnp.array(
                 [
                     idx
@@ -519,25 +518,35 @@ def get_nis_from_site_map(site_map):
                 X[condition], self._non_identical_idxs[condition]
             )
 
+        self._mutations = tuple(ref_bmap.all_subs)
         # initialize single mutational effects df
         mut_df = pd.DataFrame({"mutation": self._mutations})
-
         mut_df["wts"], mut_df["sites"], mut_df["muts"] = zip(
             *mut_df["mutation"].map(self._mutparser.parse_mut)
         )
 
-        # compute times seen in data
-        for condition, condition_vars in self._variants_df.groupby("condition"):
-            times_seen = (
-                condition_vars["var_wrt_ref"].str.split().explode().value_counts()
+        for condition in self._conditions:
+            # compute times seen in data
+            # compute the sum of each mutation (column) in the scaled data
+            times_seen = pd.Series(
+                self._scaled_training_data["X"][condition].sum(0).todense()
             )
-            if (times_seen == times_seen.astype(int)).all():
-                times_seen = times_seen.astype(int)
+            times_seen.index = ref_bmap.all_subs
+            # print(times_seen)
+
+            assert (times_seen == times_seen.astype(int)).all()
+            # times_seen = times_seen.astype(int)
             times_seen.index.name = "mutation"
             times_seen.name = f"times_seen_{condition}"
-            mut_df = mut_df.merge(times_seen, on="mutation", how="left").fillna(0)
+            mut_df = mut_df.merge(times_seen, on="mutation", how="left")  # .fillna(0)
+
+            # set training data properties
+        self._training_data = {"X": X, "y": y, "w": w}
+        self._binarymaps = binmaps
 
         self._mutations_df = mut_df
+
+        # TODO I think we don't need this anymore
         self._name = name if isinstance(name, str) else f"Data-{Data.counter}"
 
         Data.counter += 1
@@ -565,6 +574,11 @@ def reference(self) -> str:
         """The name of the reference condition."""
         return self._reference
 
+    @property
+    def reference_index(self) -> int:
+        """The index of the reference condition."""
+        return self._reference_index
+
     @property
     def mutations(self) -> tuple:
         """
diff --git a/multidms/model.py b/multidms/model.py
index 6a9f4b8..92a683d 100644
--- a/multidms/model.py
+++ b/multidms/model.py
@@ -214,8 +214,7 @@ def __init__(
         data: Data,
         epistatic_model=multidms.biophysical.sigmoidal_global_epistasis,
         output_activation=multidms.biophysical.identity_activation,
-        conditional_shifts=True,
-        alpha_d=False,
+        # conditional_shifts=True,
         # gamma_corrected=False,
         PRNGKey=0,
         lower_bound=None,
@@ -225,9 +224,8 @@ def __init__(
         name=None,
     ):
         """See class docstring."""
-        # self.gamma_corrected = gamma_corrected
-        self.conditional_shifts = conditional_shifts
-        self.alpha_d = alpha_d
+        # self.gamma_corrected = gamma_corrected TODO
+        # self.conditional_shifts = conditional_shifts
 
         self._data = data
 
@@ -327,6 +325,12 @@ def __init__(
         )
         objective = partial(multidms.biophysical.smooth_objective, pred)
 
+        proximal = (
+            multidms.biophysical.proximal_objective
+            if len(self._data.conditions) > 1
+            else multidms.biophysical.proximal_box_constraints
+        )
+
         self._model_components = frozendict(
             {
                 "latent_model": multidms.biophysical.additive_model,
@@ -335,7 +339,7 @@ def __init__(
                 "f": pred,
                 "from_latent": from_latent,
                 "objective": objective,
-                "proximal": multidms.biophysical.proximal_objective,
+                "proximal": proximal,
             }
         )
 
@@ -396,6 +400,7 @@ def model_components(self) -> frozendict:
         """
         return self._model_components
 
+    # TODO cached_property
     @property
     def loss(self) -> float:
         """
@@ -404,23 +409,24 @@ def loss(self) -> float:
         """
         kwargs = {
             "scale_coeff_ridge_beta": 0.0,
-            "scale_coeff_ridge_shift": 0.0,
-            "scale_coeff_ridge_gamma": 0.0,
-            "scale_ridge_alpha_d": 0.0,
+            # "scale_coeff_ridge_shift": 0.0,
+            # "scale_coeff_ridge_gamma": 0.0,
+            # "scale_ridge_alpha_d": 0.0,
         }
         data = (self.data.training_data["X"], self.data.training_data["y"])
         return float(
             jax.jit(self.model_components["objective"])(self.params, data, **kwargs)
         )
 
+    # TODO cached_property
     @property
     def conditional_loss(self) -> float:
         """Compute loss individually for each condition."""
         kwargs = {
             "scale_coeff_ridge_beta": 0.0,
-            "scale_coeff_ridge_shift": 0.0,
-            "scale_coeff_ridge_gamma": 0.0,
-            "scale_ridge_alpha_d": 0.0,
+            # "scale_coeff_ridge_shift": 0.0,
+            # "scale_coeff_ridge_gamma": 0.0,
+            # "scale_ridge_alpha_d": 0.0,
         }
 
         X, y = self.data.training_data["X"], self.data.training_data["y"]
@@ -429,7 +435,7 @@ def conditional_loss(self) -> float:
         for condition in self.data.conditions:
             condition_data = ({condition: X[condition]}, {condition: y[condition]})
             ret[condition] = float(loss_fxn(self.params, condition_data, **kwargs))
-        ret["total"] = sum(ret.values()) / len(ret.values())
+        ret["total"] = sum(ret.values())
         return ret
 
     @property
@@ -449,6 +455,7 @@ def variants_df(self):
         warnings.warn("deprecated", DeprecationWarning)
         return self.get_variants_df(phenotype_as_effect=False)
 
+    # TODO cached_property
     def get_variants_df(self, phenotype_as_effect=True):
         """
         Training data with model predictions for latent,
@@ -515,7 +522,7 @@ def get_variants_df(self, phenotype_as_effect=True):
 
         return variants_df
 
-    @property
+    @property  # TODO deprecated
     def mutations_df(self):
         """
         Kept for backwards compatibility but will be removed in future versions.
@@ -618,6 +625,7 @@ def get_mutations_df(
 
         return mutations_df[col_order]
 
+    # TODO cached_property
     def get_df_loss(self, df, error_if_unknown=False, verbose=False, conditional=False):
         """
         Get the loss of the model on a given data frame.
@@ -717,7 +725,7 @@ def get_df_loss(self, df, error_if_unknown=False, verbose=False, conditional=Fal
             y[condition] = jnp.array(variant_targets)
             ret[condition] = float(loss_fxn(self.params, (X, y), **kwargs))
 
-        ret["total"] = sum(ret.values()) / len(ret.values())
+        ret["total"] = sum(ret.values())  # / len(ret.values())
 
         if not conditional:
             return ret["total"]
@@ -1013,7 +1021,8 @@ def fit(
         ----------
         scale_coeff_lasso_shift : float
             L1 penalty coefficient applied "shift" in beta_d parameters.
-            Defaults to 1e-4.
+            Defaults to 1e-4. This parameter is used to regularize the
+            shift parameters in the model if there's more than one condition.
         tol : float
             Tolerance for the optimization convergence criteria. Defaults to 1e-4.
         maxiter : int
@@ -1028,7 +1037,9 @@ def fit(
             reference-condition latent offset (TODO math? beta0[ref]) are locked.
         admm_niter : int
             Number of iterations to perform during the ADMM optimization.
-            Defaults to 50.
+            Defaults to 50. Note that in the case of single-condition models,
+            This is set to zero as the generalized
+            lasso ADMM optimization is not used.
         admm_tau : float
             ADMM step size. Defaults to 1.0.
         warn_unconverged : bool
@@ -1073,50 +1084,63 @@ def fit(
             y_range = y.max() - y.min()
             upper_bound_ge_scale = 2 * y_range
 
-        # TODO This should all be done in init(), as we don't expect anything
-        # here to change upon different calls to fit.
-        non_identical_signs = {
-            condition: jnp.where(self.data._non_identical_idxs[condition], -1, 1)
-            for condition in self.data.conditions
-        }
-        non_identical_sign_matrix = jnp.vstack(
-            [non_identical_signs[d] for d in self.data.conditions]
-        )
-        diff_matrix = difference_matrix(len(self.data.conditions))
-        D_block_diag = scipy.sparse.block_diag(
-            [
-                jnp.array(diff_matrix) @ jnp.diag(non_identical_sign_matrix[:, col])
-                for col in range(len(self.data.mutations))
-            ]
-        )
-        Dop = pylops.LinearOperator(
-            Op=scipy.sparse.linalg.aslinearoperator(D_block_diag),
-            dtype=diff_matrix.dtype,
-            shape=D_block_diag.shape,
-        )
-        # print(Dop)
-        # print((Dop.matvec))
-        eig = jnp.real((Dop.H * Dop).eigs(neigs=1, which="LM")[0])
-
-        admm_mu = 0.99 * admm_tau / eig
-        assert 0 < admm_mu < admm_tau / eig
-
-        lock_params[("beta0", self.data.reference)] = 0.0
-
-        hyperparams_prox = (
-            scale_coeff_lasso_shift,
-            admm_niter,
-            admm_tau,
-            admm_mu,
-            upper_bound_ge_scale,
-            lock_params,
-            self.data.non_identical_idxs,
-            # Dop,
-        )
+        # box constraints for the reference beta0 parameter.
+        # lock_params[("beta0", self.data.reference)] = 0.0
 
-        compiled_proximal = partial(self._model_components["proximal"], Dop)
+        compiled_proximal = self._model_components["proximal"]
         compiled_objective = jax.jit(self._model_components["objective"])
 
+        # if we have more than one condition, we need to set up the ADMM optimization
+        if len(self.data.conditions) > 1:
+            non_identical_signs = {
+                condition: jnp.where(self.data._non_identical_idxs[condition], -1, 1)
+                for condition in self.data.conditions
+            }
+            non_identical_sign_matrix = jnp.vstack(
+                [non_identical_signs[d] for d in self.data.conditions]
+            )
+            diff_matrix = difference_matrix(
+                len(self.data.conditions), self.data.reference_index
+            )
+            D_block_diag = scipy.sparse.block_diag(
+                [
+                    jnp.array(diff_matrix) @ jnp.diag(non_identical_sign_matrix[:, col])
+                    for col in range(len(self.data.mutations))
+                ]
+            )
+            Dop = pylops.LinearOperator(
+                Op=scipy.sparse.linalg.aslinearoperator(D_block_diag),
+                dtype=diff_matrix.dtype,
+                shape=D_block_diag.shape,
+            )
+            eig = jnp.real((Dop.H * Dop).eigs(neigs=1, which="LM")[0])
+
+            admm_mu = 0.99 * admm_tau / eig
+
+            if len(self.data.conditions) > 1:
+                assert 0 < admm_mu < admm_tau / eig
+
+            hyperparams_prox = (
+                scale_coeff_lasso_shift,
+                admm_niter,
+                admm_tau,
+                admm_mu,
+                upper_bound_ge_scale,
+                lock_params,
+                self.data.non_identical_idxs,
+            )
+
+            compiled_proximal = partial(self._model_components["proximal"], Dop)
+
+        else:
+            hyperparams_prox = (
+                upper_bound_ge_scale,
+                lock_params,
+                self.data.non_identical_idxs,
+            )
+            # compiled_proximal = jax.jit(self._model_components["proximal"])
+            compiled_proximal = self._model_components["proximal"]
+
         solver = ProximalGradient(
             compiled_objective,
             compiled_proximal,
@@ -1127,10 +1151,6 @@ def fit(
             jit=False,
         )
 
-        # print(
-        #     compiled_proximal(self._scaled_data_params, hyperparams_prox, scaling=1.0)
-        # )
-
         # GET DATA
         scaled_training_data = (
             self._data.scaled_training_data["X"],
@@ -1171,10 +1191,15 @@ def fit(
             )
             # record loss and error trajectories at regular intervals
             if (i + 1) % convergence_trajectory_resolution == 0:
-                no_pen_obj_loss = float(
-                    compiled_objective(self._scaled_data_params, scaled_training_data)
+                obj_loss = float(
+                    compiled_objective(
+                        self._scaled_data_params, scaled_training_data, **kwargs
+                    )
+                )
+                lasso_penalty = scale_coeff_lasso_shift * jnp.sum(
+                    jnp.abs(jnp.vstack(self._scaled_data_params["shift"].values()))
                 )
-                convergence_trajectory.loc[i + 1, "loss"] = no_pen_obj_loss
+                convergence_trajectory.loc[i + 1, "loss"] = obj_loss + lasso_penalty
                 convergence_trajectory.loc[i + 1, "error"] = float(self._state.error)
 
             # early stopping criteria
@@ -1332,6 +1357,10 @@ def plot_epistasis(
             plt.show()
         return ax
 
+    # TODO - default param
+    # TODO - add docstring
+    # TODO - add tests
+    # TODO - optional stops
     def plot_param_hist(
         self, param, show=True, saveas=False, times_seen_threshold=3, ax=None, **kwargs
     ):
diff --git a/multidms/model_collection.py b/multidms/model_collection.py
index 4e5dba2..186ba76 100644
--- a/multidms/model_collection.py
+++ b/multidms/model_collection.py
@@ -16,7 +16,7 @@
 
 import pandas as pd
 import jax
-import jax.numpy as jnp
+
 import numpy as onp
 import altair as alt
 
@@ -42,12 +42,14 @@ class ModelCollectionFitError(Exception):
     pass
 
 
+# TODO move to utils
 # https://github.com/microsoft/pylance-release/issues/5630
 def my_concat(dfs_list, axis=0):
     """simple pd.concat wrapper for bug with vscode pylance"""  # noqa
     return pd.concat(dfs_list, axis=axis)
 
 
+# TODO move to utils
 def _explode_params_dict(params_dict):
     """
     Given a dictionary of model parameters,
@@ -63,32 +65,19 @@ def _explode_params_dict(params_dict):
     ]
 
 
-# everything below verbose could be a kwargs passed to fit()
-# but it's nice to have a single function for verbosity?
+# TODO could kwargs be used both for init and fit of model?
 def fit_one_model(
     dataset,
     epistatic_model="Sigmoid",
     output_activation="Identity",
-    lock_beta_naught_at=None,  # TODO experimental, remove
-    gamma_corrected=False,  # TODO experimental, mark as such
-    alpha_d=False,  # TODO, still not sure why this isn't the default
-    init_beta_naught=0.0,
+    # gamma_corrected=False,  # TODO GAMMA experimental, mark as such
+    init_theta_scale=6.5,
+    init_theta_bias=-3.5,
     n_hidden_units=5,
     lower_bound=None,
     PRNGKey=0,
     verbose=False,
-    # **kwargs,
-    scale_coeff_lasso_shift=2e-5,
-    tol=1e-4,
-    maxiter=20000,
-    acceleration=True,
-    maxls=15,
-    upper_bound_theta_ge_scale="infer",
-    huber_scale_huber=1,
-    scale_coeff_ridge_beta=0,
-    scale_coeff_ridge_shift=0,
-    scale_coeff_ridge_gamma=0,
-    scale_coeff_ridge_alpha_d=0,
+    **kwargs,
 ):
     """
     Fit a multidms model to a dataset. This is a wrapper around the multidms
@@ -101,49 +90,19 @@ def fit_one_model(
         The dataset to fit to. For bookkeeping and downstream analysis,
         the name of the dataset (Data.name) is saved in the fit attributes
         that are returned.
-    huber_scale_huber : float, optional
-        The scale of the huber loss function. The default is 1.
-    scale_coeff_lasso_shift : float, optional
-        The scale of the lasso penalty on the shift parameter. The default is 2e-5.
-    scale_coeff_ridge_beta : float, optional
-        The scale of the ridge penalty on the beta parameter. The default is 0.
-    scale_coeff_ridge_shift : float, optional
-        The scale of the ridge penalty on the shift parameter. The default is 0.
-    scale_coeff_ridge_gamma : float, optional
-        The scale of the ridge penalty on the gamma parameter. The default is 0.
-    scale_coeff_ridge_alpha_d : float, optional
-        The scale of the ridge penalty on the ch parameter. The default is 0.
     epistatic_model : str, optional
         The epistatic model to use. The default is "Identity".
     output_activation : str, optional
         The output activation function to use. The default is "Identity".
-    lock_beta_naught_at : float or None optional
-        The value to lock the beta_naught parameter to. If None,
-        the beta_naught parameter is free to vary. The default is None.
-    gamma_corrected : bool, optional
-        Whether to use the gamma corrected model. The default is True.
-    alpha_d : bool, optional
-        Whether to use the conditional c model. The default is False.
-    init_beta_naught : float, optional
-        The initial value of the beta_naught parameter. The default is 0.0.
-        Note that is lock_beta_naught is not None, then this value is irrelevant.
-    maxls : int
-        Maximum number of iterations to perform during line search.
-    tol : float, optional
-        The tolerance for the fit. The default is 1e-4.
-    maxiter : int, optional
-        The max number of iterations to take if the tolerance threshold is not met.
-        The default is 20000.
-    acceleration : bool, optional
-        Whether to use the FISTA acceleration. The default is True. This is only useful
-        when using a single step with many iterations.
+    init_theta_scale : float, optional
+        The scale to use for initializing the model parameters. The default is 6.5.
+    init_theta_bias : float, optional
+        The bias to use for initializing the model parameters. The default is -3.5.
     n_hidden_units : int, optional
         The number of hidden units to use in the neural network model. The default is 5.
     lower_bound : float, optional
         The lower bound for use with the softplus activation function.
         The default is None, but must be specified if using the softplus activation.
-    upper_bound_theta_ge_scale : float, optional
-        The upper bound for the theta_ge_scale parameter. The default is None.
     PRNGKey : int, optional
         The PRNGKey to use to initialize model parameters. The default is 0.
     verbose : bool, optional
@@ -166,7 +125,12 @@ def fit_one_model(
         3. "step_loss" which is a numpy array of the loss at the end of each training
         epoch.
     """
+    # save the passed parameters for bookkeeping
     fit_attributes = locals().copy()
+    del fit_attributes["kwargs"]
+    for key, value in kwargs.items():
+        fit_attributes[key] = value
+
     biophysical_model = {
         "Identity": multidms.biophysical.identity_activation,
         "Sigmoid": multidms.biophysical.sigmoidal_global_epistasis,
@@ -179,19 +143,14 @@ def fit_one_model(
         dataset,
         epistatic_model=biophysical_model[epistatic_model],
         output_activation=biophysical_model[output_activation],
-        alpha_d=alpha_d,
-        gamma_corrected=gamma_corrected,
-        init_beta_naught=init_beta_naught,
+        init_theta_scale=init_theta_scale,
+        init_theta_bias=init_theta_bias,
+        # gamma_corrected=gamma_corrected, TODO GAMMA
         n_hidden_units=n_hidden_units,
         lower_bound=lower_bound,
         PRNGKey=PRNGKey,
     )
 
-    lock_params = {}
-
-    if lock_beta_naught_at is not None:
-        lock_params["beta_naught"] = jnp.array([lock_beta_naught_at])
-
     del fit_attributes["dataset"]
     del fit_attributes["verbose"]
 
@@ -202,56 +161,17 @@ def fit_one_model(
         print("running:")
         pprint.pprint(fit_attributes)
 
-    total_iterations = 0
-
     # for training_step in range(num_training_steps):
     start = time.time()
     imodel.fit(
-        warn_unconverged=False,
-        # **kwargs,
-        scale_coeff_lasso_shift=scale_coeff_lasso_shift,
-        maxiter=maxiter,
-        tol=tol,
-        acceleration=acceleration,
-        maxls=maxls,
-        huber_scale=huber_scale_huber,
-        lock_params=lock_params,
-        scale_coeff_ridge_shift=scale_coeff_ridge_shift,
-        scale_coeff_ridge_beta=scale_coeff_ridge_beta,
-        scale_coeff_ridge_gamma=scale_coeff_ridge_gamma,
-        scale_coeff_ridge_alpha_d=scale_coeff_ridge_alpha_d,
-        upper_bound_ge_scale=upper_bound_theta_ge_scale,
+        warn_unconverged=verbose,
+        **kwargs,
     )
     end = time.time()
 
     fit_attributes["fit_time"] = round(end - start)
 
-    col_order = [
-        "model",
-        "dataset_name",
-        "epistatic_model",
-        "output_activation",
-        "gamma_corrected",
-        "alpha_d",
-        "n_hidden_units",
-        "lower_bound",
-        "PRNGKey",
-        "scale_coeff_lasso_shift",
-        "scale_coeff_ridge_beta",
-        "scale_coeff_ridge_shift",
-        "scale_coeff_ridge_gamma",
-        "scale_coeff_ridge_alpha_d",
-        "huber_scale_huber",
-        "init_beta_naught",
-        "lock_beta_naught_at",
-        "tol",
-        "maxiter",
-        "acceleration",
-        "maxls",
-        "fit_time",
-    ]
-
-    return pd.Series(fit_attributes)[col_order]
+    return pd.Series(fit_attributes)
 
 
 def _fit_fun(params):
@@ -271,6 +191,7 @@ def stack_fit_models(fit_models_list):
     return pd.concat([f.to_frame().T for f in fit_models_list], ignore_index=True)
 
 
+# TODO make it easier to debug failed fits
 def fit_models(params, n_threads=-1, failures="error"):
     """Fit collection of :class:`multidms.model.Model` models.
 
@@ -762,7 +683,7 @@ def mut_param_heatmap(
                 + [col for col in queried_fits.columns if "loss" in col]
             )
         )
-        print(shouldbe_uniform)
+        # print(shouldbe_uniform)
         groups_to_combine = queried_fits.groupby(shouldbe_uniform).ngroups
         if groups_to_combine > 1:
             warnings.warn(
@@ -830,6 +751,7 @@ def mut_param_heatmap(
         # melt conditions and stats cols, beta is already "tall"
         # note that we must rename conditions with "." in the
         # name to "_" to avoid altair errors
+        # TODO let's just make sure we don't have "." in the condition names
         if mut_param == "beta":
             muts_df_tall = muts_df.assign(condition=self.reference.replace(".", "_"))
         else:
@@ -986,6 +908,7 @@ def mut_type(mut):
             column=alt.Column("condition", title="Experiment"),
         )
 
+    # TODO fix height scalar
     def shift_sparsity(
         self,
         x="scale_coeff_lasso_shift",
diff --git a/multidms/utils.py b/multidms/utils.py
index e21d43b..2b33c62 100644
--- a/multidms/utils.py
+++ b/multidms/utils.py
@@ -11,22 +11,26 @@
 import jax.numpy as jnp
 
 
-def difference_matrix(n):
+# TODO add
+# scale_coeff_lasso_shift = lambda x:
+# x.scale_coeff_lasso_shift.apply(lambda x: "{:.2e}".format(x))
+
+
+def difference_matrix(n, ref_index=0):
     """
     Given some number of conditions, return the difference matrix
     for computing shifts between adjacent conditional beta parameters.
     This always assumes the reference condition is the first condition.
     """
-    D = jnp.eye(n, n).at[:, 0].set(-1).at[0].set(0)
+    D = jnp.eye(n, n).at[:, ref_index].set(-1).at[ref_index].set(0)
 
     return D
 
 
-# TODO Finish, do shift params need to be transformed, as well?
 # TODO test
 def transform(params, bundle_idxs):
     """
-    Transforms the bet coefficient parameters of a `multidms` model to be
+    Transforms the beta coefficient parameters of a `multidms` model to be
     negative for the bundles specified in `bundle_idxs`.
 
     TODO Finish
@@ -44,6 +48,7 @@ def transform(params, bundle_idxs):
     return params_transformed
 
 
+# TODO test
 def rereference(X, cols):
     """Flip bits on columns (bool idxs)"""
     if cols.sum():
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb b/notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb
deleted file mode 100644
index 97a7cca..0000000
--- a/notebooks/experiments/generalized_lasso_sigmoid_models/fit_generalized_lasso.ipynb
+++ /dev/null
@@ -1,3279 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import jax\n",
-    "jax.config.update(\"jax_enable_x64\", True)\n",
-    "import jax.numpy as jnp\n",
-    "import jaxopt\n",
-    "import pyproximal\n",
-    "import pylops\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import scipy\n",
-    "import seaborn as sns\n",
-    "import multidms"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "tags": [
-     "parameters"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# max number of warmup iterations with post-latent GE (if any) remains fixed\n",
-    "warmup_iterations = 10\n",
-    "\n",
-    "# total number of iterations to optimize\n",
-    "max_total_iterations = 100\n",
-    "\n",
-    "# error tolerance for early stopping (convergence criteria)\n",
-    "error_tolerance = 1e-4\n",
-    "\n",
-    "# data params\n",
-    "data_replicate = 2\n",
-    "\n",
-    "# modeling params\n",
-    "equivariant = False\n",
-    "post_latent_fn = \"sigmoid\"\n",
-    "smooth_obj_fn = \"cond_norm_penalty\"\n",
-    "weighted_by_variant_support = False\n",
-    "\n",
-    "init_beta_normal = False # False initializes beta's to be zero\n",
-    "\n",
-    "# only relevant to the sigmoid post latent fn\n",
-    "theta_scale = 6.0\n",
-    "theta_bias = -3.5\n",
-    "lock_sigmoid_params = False\n",
-    "theta_scale_upper_bound = 10\n",
-    "l2reg_theta_scale = 0\n",
-    "\n",
-    "# other fitting hyperparameters\n",
-    "# the weights we use for the manusctript are:\n",
-    "# \"lasso_coeff\" : [0.0, 5.00e-6, 1.00e-05, 2.00e-05, 4.00e-05, 8.00e-05, 1.60e-04, 3.20e-04, 6.40e-04]\n",
-    "lasso_coeff = 4e-5\n",
-    "l2reg_beta = 1e-3\n",
-    "\n",
-    "output_dir = \"results/output\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Count aggregation\n",
-    "\n",
-    "aggregate unfiltered counts, then compute a single functional score for each variant"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pre_count</th>\n",
-       "      <th>post_count</th>\n",
-       "      <th>aa_substitutions</th>\n",
-       "      <th>condition</th>\n",
-       "      <th>replicate</th>\n",
-       "      <th>n_subs</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>235</td>\n",
-       "      <td>331</td>\n",
-       "      <td>N87T L517F T1006A</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>234</td>\n",
-       "      <td>682</td>\n",
-       "      <td>D80L</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>234</td>\n",
-       "      <td>145</td>\n",
-       "      <td>A1026V D1168Y</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>234</td>\n",
-       "      <td>546</td>\n",
-       "      <td>G75W K1154E</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>234</td>\n",
-       "      <td>103</td>\n",
-       "      <td>T307S S803L A893V</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>770281</th>\n",
-       "      <td>287</td>\n",
-       "      <td>187</td>\n",
-       "      <td>P82S S112T D138T K1038N</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>770282</th>\n",
-       "      <td>287</td>\n",
-       "      <td>170</td>\n",
-       "      <td>L179P A222T G261H N405D</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>770283</th>\n",
-       "      <td>287</td>\n",
-       "      <td>58</td>\n",
-       "      <td>S27F G413E</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>770284</th>\n",
-       "      <td>287</td>\n",
-       "      <td>488</td>\n",
-       "      <td>A222V S1242I</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>770285</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>V16I Y501N G769C S943T I1130M</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>770286 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        pre_count  post_count               aa_substitutions    condition  \\\n",
-       "0             235         331              N87T L517F T1006A        Delta   \n",
-       "1             234         682                           D80L        Delta   \n",
-       "2             234         145                  A1026V D1168Y        Delta   \n",
-       "3             234         546                    G75W K1154E        Delta   \n",
-       "4             234         103              T307S S803L A893V        Delta   \n",
-       "...           ...         ...                            ...          ...   \n",
-       "770281        287         187        P82S S112T D138T K1038N  Omicron_BA2   \n",
-       "770282        287         170        L179P A222T G261H N405D  Omicron_BA2   \n",
-       "770283        287          58                     S27F G413E  Omicron_BA2   \n",
-       "770284        287         488                   A222V S1242I  Omicron_BA2   \n",
-       "770285          0           0  V16I Y501N G769C S943T I1130M  Omicron_BA2   \n",
-       "\n",
-       "        replicate  n_subs  \n",
-       "0               1       3  \n",
-       "1               1       1  \n",
-       "2               1       2  \n",
-       "3               1       2  \n",
-       "4               1       3  \n",
-       "...           ...     ...  \n",
-       "770281          2       4  \n",
-       "770282          2       4  \n",
-       "770283          2       2  \n",
-       "770284          2       2  \n",
-       "770285          2       5  \n",
-       "\n",
-       "[770286 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "func_scores_df = pd.read_csv(\n",
-    "    \"../input/spike_func_scores_unfiltered_counts.csv\").fillna(\"\").drop(columns=\"func_score\")\n",
-    "\n",
-    "func_scores_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
-      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/pandas/core/arraylike.py:399: RuntimeWarning: divide by zero encountered in log2\n",
-      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "      <th>post_count</th>\n",
-       "      <th>aa_substitutions</th>\n",
-       "      <th>condition</th>\n",
-       "      <th>replicate</th>\n",
-       "      <th>n_subs</th>\n",
-       "      <th>barcodes</th>\n",
-       "      <th>func_score</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5027212</td>\n",
-       "      <td>4967837</td>\n",
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-       "      <td>1</td>\n",
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-       "      <td>10176</td>\n",
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-       "      <td>3000775</td>\n",
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-       "      <td>16707349</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>24216</td>\n",
-       "      <td>0.000000</td>\n",
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-       "      <td>15250884</td>\n",
-       "      <td>19953602</td>\n",
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-       "      <td>0.000000</td>\n",
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-       "      <th>4</th>\n",
-       "      <td>15195250</td>\n",
-       "      <td>12396402</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0.000000</td>\n",
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-       "    <tr>\n",
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-       "      <td>...</td>\n",
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-       "    <tr>\n",
-       "      <th>335519</th>\n",
-       "      <td>499</td>\n",
-       "      <td>71</td>\n",
-       "      <td>Y91V S98Y D138* Y144V N280D N405P P463S S982R ...</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>9</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.160077</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335520</th>\n",
-       "      <td>166</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Y91V T108A G261H</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-inf</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335521</th>\n",
-       "      <td>888</td>\n",
-       "      <td>71</td>\n",
-       "      <td>Y91V T883I</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.991597</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335522</th>\n",
-       "      <td>303</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Y91V V401L K679A D1163G</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-inf</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335523</th>\n",
-       "      <td>43</td>\n",
-       "      <td>16</td>\n",
-       "      <td>Y91V Y636H S691D G1219V</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1.736013</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>335524 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        pre_count  post_count  \\\n",
-       "0         5027212     4967837   \n",
-       "1         5955236     3000775   \n",
-       "2        13479201    16707349   \n",
-       "3        15250884    19953602   \n",
-       "4        15195250    12396402   \n",
-       "...           ...         ...   \n",
-       "335519        499          71   \n",
-       "335520        166           0   \n",
-       "335521        888          71   \n",
-       "335522        303           0   \n",
-       "335523         43          16   \n",
-       "\n",
-       "                                         aa_substitutions    condition  \\\n",
-       "0                                                                Delta   \n",
-       "1                                                                Delta   \n",
-       "2                                                          Omicron_BA1   \n",
-       "3                                                          Omicron_BA1   \n",
-       "4                                                          Omicron_BA2   \n",
-       "...                                                   ...          ...   \n",
-       "335519  Y91V S98Y D138* Y144V N280D N405P P463S S982R ...  Omicron_BA2   \n",
-       "335520                                   Y91V T108A G261H  Omicron_BA1   \n",
-       "335521                                         Y91V T883I  Omicron_BA2   \n",
-       "335522                            Y91V V401L K679A D1163G  Omicron_BA1   \n",
-       "335523                            Y91V Y636H S691D G1219V  Omicron_BA1   \n",
-       "\n",
-       "        replicate  n_subs  barcodes  func_score  \n",
-       "0               1       0     10176    0.000000  \n",
-       "1               2       0      8516    0.000000  \n",
-       "2               1       0     24216    0.000000  \n",
-       "3               2       0     22495    0.000000  \n",
-       "4               1       0     21020    0.000000  \n",
-       "...           ...     ...       ...         ...  \n",
-       "335519          2       9         2   -3.160077  \n",
-       "335520          2       3         1        -inf  \n",
-       "335521          2       2         2   -3.991597  \n",
-       "335522          2       4         1        -inf  \n",
-       "335523          1       4         1   -1.736013  \n",
-       "\n",
-       "[335524 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "groups = func_scores_df.groupby([\"aa_substitutions\", \"condition\", \"replicate\"])\n",
-    "\n",
-    "func_scores_collapsed_df = groups.agg(\n",
-    "    dict(pre_count=\"sum\", post_count=\"sum\", aa_substitutions=\"first\", condition=\"first\", replicate=\"first\", n_subs=\"first\")\n",
-    ").assign(barcodes=groups.size()).reset_index(drop=True)\n",
-    "\n",
-    "pseudocount = 0\n",
-    "func_scores_collapsed_df[\"func_score\"] = np.log2(func_scores_collapsed_df.post_count + pseudocount) - np.log2(func_scores_collapsed_df.pre_count + pseudocount)\n",
-    "\n",
-    "# normalize to WT for each condition\n",
-    "groups = func_scores_collapsed_df.groupby([\"condition\", \"replicate\"])\n",
-    "for (condition, replicate), group in groups:\n",
-    "    wt = group.query(\"aa_substitutions == ''\").func_score.squeeze()\n",
-    "    func_scores_collapsed_df.loc[group.index, \"func_score\"] -= wt\n",
-    "\n",
-    "func_scores_collapsed_df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Filter the aggregated counts"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(295757, 8)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "func_scores_collapsed_df.query(\"(pre_count >= 100) & (post_count > 0)\", inplace=True)\n",
-    "func_scores_collapsed_df.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pre_count</th>\n",
-       "      <th>post_count</th>\n",
-       "      <th>aa_substitutions</th>\n",
-       "      <th>condition</th>\n",
-       "      <th>replicate</th>\n",
-       "      <th>n_subs</th>\n",
-       "      <th>barcodes</th>\n",
-       "      <th>func_score</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5027212</td>\n",
-       "      <td>4967837</td>\n",
-       "      <td></td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10176</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5955236</td>\n",
-       "      <td>3000775</td>\n",
-       "      <td></td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8516</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13479201</td>\n",
-       "      <td>16707349</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>24216</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>15250884</td>\n",
-       "      <td>19953602</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>22495</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>15195250</td>\n",
-       "      <td>12396402</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>21020</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335513</th>\n",
-       "      <td>633</td>\n",
-       "      <td>8</td>\n",
-       "      <td>Y91V E132Q Q675L A845E G1167D</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-6.693818</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335514</th>\n",
-       "      <td>497</td>\n",
-       "      <td>7</td>\n",
-       "      <td>Y91V H505N I1216T</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-6.537503</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335517</th>\n",
-       "      <td>310</td>\n",
-       "      <td>26</td>\n",
-       "      <td>Y91V S112N M177K L335P N405A C671R K679R T859A...</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>9</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.922613</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335519</th>\n",
-       "      <td>499</td>\n",
-       "      <td>71</td>\n",
-       "      <td>Y91V S98Y D138* Y144V N280D N405P P463S S982R ...</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>9</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.160077</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335521</th>\n",
-       "      <td>888</td>\n",
-       "      <td>71</td>\n",
-       "      <td>Y91V T883I</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.991597</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>295757 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        pre_count  post_count  \\\n",
-       "0         5027212     4967837   \n",
-       "1         5955236     3000775   \n",
-       "2        13479201    16707349   \n",
-       "3        15250884    19953602   \n",
-       "4        15195250    12396402   \n",
-       "...           ...         ...   \n",
-       "335513        633           8   \n",
-       "335514        497           7   \n",
-       "335517        310          26   \n",
-       "335519        499          71   \n",
-       "335521        888          71   \n",
-       "\n",
-       "                                         aa_substitutions    condition  \\\n",
-       "0                                                                Delta   \n",
-       "1                                                                Delta   \n",
-       "2                                                          Omicron_BA1   \n",
-       "3                                                          Omicron_BA1   \n",
-       "4                                                          Omicron_BA2   \n",
-       "...                                                   ...          ...   \n",
-       "335513                      Y91V E132Q Q675L A845E G1167D  Omicron_BA1   \n",
-       "335514                                  Y91V H505N I1216T  Omicron_BA1   \n",
-       "335517  Y91V S112N M177K L335P N405A C671R K679R T859A...  Omicron_BA2   \n",
-       "335519  Y91V S98Y D138* Y144V N280D N405P P463S S982R ...  Omicron_BA2   \n",
-       "335521                                         Y91V T883I  Omicron_BA2   \n",
-       "\n",
-       "        replicate  n_subs  barcodes  func_score  \n",
-       "0               1       0     10176    0.000000  \n",
-       "1               2       0      8516    0.000000  \n",
-       "2               1       0     24216    0.000000  \n",
-       "3               2       0     22495    0.000000  \n",
-       "4               1       0     21020    0.000000  \n",
-       "...           ...     ...       ...         ...  \n",
-       "335513          2       5         1   -6.693818  \n",
-       "335514          2       3         1   -6.537503  \n",
-       "335517          2       9         2   -3.922613  \n",
-       "335519          2       9         2   -3.160077  \n",
-       "335521          2       2         2   -3.991597  \n",
-       "\n",
-       "[295757 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "func_scores_collapsed_df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Replicate correlations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
-      "  data_subset = grouped_data.get_group(pd_key)\n",
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
-      "  data_subset = grouped_data.get_group(pd_key)\n",
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/site-packages/seaborn/_base.py:948: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
-      "  data_subset = grouped_data.get_group(pd_key)\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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z58/j6NGjSE1NRbNmzThrchBCCCGEEEKILbOZO2h8b9++hY+PD06dOoVPP/1U6nAIIYQQQgghJMtsdqHqmJgYADC4MF1ycjKSk5O1jxljSElJQf78+fUWwiOEED7qQwgh5qL+gxBiLptJcdSl0WgwatQo1K1bF+XLl890v7lz58LDw0P75enpCR8fH3z8+DEboyXEuraei870K6+6dOkSAgICUK5cuSy1Q30IIXkPYwzLly+HnV3WrmFT/0FI3hQXF4dOnTpBoVCY3YZNDtCGDh2KW7duYfv27Qb3mzhxImJiYrRfz58/z3Tfvn37QiaTQSaTwcHBAcHBwZgxYwZUKpWlw89ToqKi0LNnT7i7u8PT0xMDBgxAXFycwWMaNmyo/Vmkfw0ZMoSzz7Nnz9C6dWs4OzvDx8cH3377Lf2sCABgy5YtqF+/Pl69epXltqgPkZ45fUhkZCR69+4NX19fuLi44JNPPsGePXu02588eYIBAwagaNGicHJyQvHixTFt2jSkpKRY++WQHC45ORkDBw7EyJEjoVars9QW9R/SM7X/ePLkid7nj/SvXbt2afc7fvw46tSpAzc3N/j6+mL8+PH0syIAgMePH6NOnTrYt29fli7y2FyK47Bhw3Dw4EH8/fffKFSokMF9lUollEql6LZbtGiB0NBQJCcn4/Dhwxg6dCjs7e0xceLErIYtKCUlBQ4ODlZp2xSMMajV6ixfLRTSs2dPREREaAu79OvXD4MGDcLWrVsNHjdw4EDMmDFD+9jZ2Vn7vVqtRuvWreHr64uzZ88iIiICISEhsLe3x5w5cyz+GohtUKvV+O6777BgwQIAQNu2bbFly5YstUl9iDg5rQ8JCQlBdHQ0Dhw4gPz582Pr1q3o2rUrLl++jCpVquDu3bvQaDRYu3YtgoODcevWLQwcOBDx8fFYtGiRxV8DsQ2vX79G586dcebMGcjlcm1fYi7qP8TJSf1HYGAgIiIiOM/99NNPWLhwIVq2bAkAuH79Olq1aoVJkyZh06ZNePnyJYYMGQK1Wk39hxl2XvjAedy1ppfo/Y3tm91OnjyJzz//HO/fv4evry/27dtnfmPMRmg0GjZ06FDm7+/P7t+/b1YbMTExDACLiYnR29anTx/Wvn17znNNmzZltWrVYowxlpSUxMaMGcP8/f2Zs7Mzq1GjBjtx4oR233fv3rFu3boxf39/5uTkxMqXL8+2bt3Kaa9BgwZs6NChbOTIkSxfvnysYcOGTKPRsGnTprHAwEDm4ODA/Pz82PDhw7XHREVFsd69ezNPT0/m5OTEWrRowXn9oaGhzMPDg/3++++sdOnSzMXFhTVv3py9evUq0/fhxIkTDAA7fPgw++STT5i9vT3ntVjKnTt3GAB26dIl7XNHjhxhMpmMvXz5MtPjGjRowEaOHJnp9sOHDzO5XM4iIyO1z61evZq5u7uz5ORki8QuhV/PfuB8WaIdU85niXNLRaVSsdatWzMADACbNGkSU6vVFj8P9SFpcnof4uLiwjZt2sR5ztvbm61bty7TYxYsWMCKFi2a9aBzqJ3nozhftoQfu9j4TTnuwYMHLDAwkAFgHh4e7MiRI5YKX4v6jzQ5vf/gq1y5Muvfv7/28cSJE1m1atU4+xw4cIA5Ojqy2NjYrAeex+w4H8X5MmX/nGTLli3Mzs6OAWBVq1Zlz58/z1J7NpPiOHToUGzZsgVbt26Fm5sbIiMjERkZicTERKud08nJSZvyMmzYMJw7dw7bt2/HjRs30KVLF7Ro0QIPHjwAACQlJaFq1ao4dOgQbt26hUGDBqF37964ePEip82NGzfCwcEBZ86cwZo1a7Bnzx4sWbIEa9euxYMHDxAWFoYKFSpo9+/bty8uX76MAwcO4Ny5c2CMoVWrVpxFARMSErBo0SJs3rwZf//9N549e4axY8cafX0TJkzAvHnzEB4ejooVKwruY2iFeFdXV+0VJSHnzp2Dp6cnqlWrpn2uSZMmkMvluHDhgsHYfv31V+TPnx/ly5fHxIkTkZCQwGm3QoUKKFiwoPa55s2bIzY2Frdv3zb6uknuo1AoULlyZTg6OmLbtm2YNWsW5HLpuzfqQ6TpQ+rUqYMdO3YgKioKGo0G27dvR1JSEho2bJjpMTExMQaLTpHcLSAgAAULFkTJkiVx4cIFtGjRQuqQqP+AdJ9B0l25cgXXrl3DgAEDtM8lJyfD0dGRs5+TkxOSkpJw5coVUe2S3Kd8+fJwcHBA9+7dcfr0aaNZfkZZYtSYHfDflXH+V2hoqOg2xF690mg07OjRo0ypVLKxY8eyp0+fMoVCoXfFpXHjxmzixImZnq9169ZszJgx2scNGjRgVapU4eyzePFiVrJkSZaSkqJ3/P379xkAdubMGe1z7969Y05OTmznzp2MsbSrVwDYw4cPtfv8+OOPrGDBgpnGlX71KiwsLNN90j158oQ9ePAg068XL15keuzs2bNZyZIl9Z4vUKAAW7VqVabHrV27lv3+++/sxo0bbMuWLSwgIIB17NhRu33gwIGsWbNmnGPi4+O1V+RsFd1BM51KpdJ+r1ar2d27d616PupD0uT0PuTDhw+sWbNmDACzs7Nj7u7u7I8//sh0/wcPHjB3d3f2008/GX09toruoOkfp1arOXfaX716xT58+GDJ0Dmo/0iT0/sPXV999RUrU6YM57k//viDyeVytnXrVqZSqdiLFy9Y/fr1GQC9u5Z5kal3xGyZ7mcQxhgLDw9nGo3GIm3bzBw0lg3LtR08eBCurq5ITU2FRqNBjx49MH36dJw8eRJqtRolS5bk7J+cnIx8+fIBSJv/MmfOHOzcuRMvX75ESkoKkpOTOXOnAKBq1aqcx126dMHSpUtRrFgxtGjRAq1atULbtm1hZ2eH8PBw2NnZoWbNmtr98+XLh1KlSiE8PFz7nLOzM4oXL6597Ofnhzdv3hh9vbpXlTITFBRkdB9LGzRokPb7ChUqwM/PD40bN8ajR484rzO36VHbM1vbsdT5+NUiLdWuIYwxLFu2DDt37sTx48fh5OQEuVyOUqVKWf3chlAfok+KPmTKlCmIjo7GsWPHkD9/foSFhaFr1644ffo05+4AALx8+RItWrRAly5dMHDgwGyPlUjj48ePCAkJQYUKFbTznf38/CSNifoPfVL0H+kSExOxdetWTJkyhfN8s2bNsHDhQgwZMgS9e/eGUqnElClTcPr06RyRuUGyx82bN9G1a1esX78ederUAQCULl3aYu3bzAAtOzRq1AirV6+Gg4MD/P39tRNW4+LioFAocOXKFb2Sma6urgCAhQsXYtmyZVi6dCkqVKgAFxcXjBo1Sq8qmIuLC+dxYGAg7t27h2PHjuHo0aP4+uuvsXDhQpw6dUp03Pb29pzHMplM1ICWH4uQcuXK4enTp5lur1+/Po4cOSK4zdfXV6+TVqlUiIqKgq+vr9Fzp0v/5/Dw4UMUL14cvr6+emkbr1+/1p6T5G7Jycn46quvEBoaCgDYunUrJ/1EStSH6MvuPuTRo0dYuXIlbt26pV1moVKlSjh9+jR+/PFHrFmzRrvvq1ev0KhRI9SpUwc//fST0ddiy7rwJtPv4k3MF9onpzA3rsyOe/z4Mdq1a4dbt27hyJEjGDhwIAIDA7MSokVQ/6FPys8gu3fvRkJCAkJCQvS2jR49Gt988w0iIiLg5eWFJ0+eYOLEiShWrJjRdontCwsLQ69evRAfH49x48bh9OnTFl/bkAZoOlxcXBAcHKz3fJUqVaBWq/HmzRvUr19f8NgzZ86gffv26NWrF4C0tdru37+PsmXLGj2vk5MT2rZti7Zt22Lo0KEoXbo0bt68iTJlykClUuHChQva0fn79+9x7949Ue1awuHDhzm55kKxZ6Z27dqIjo7GlStXtFft/vrrL2g0Gs4VOWOuXbsGIOPqZu3atTF79my8efMGPj4+AICjR4/C3d09294XIo3IyEh06tQJ586dg1wux+LFi9G/f3+pw9KiPkRfdvch6fNV+VeyFQoFNBqN9vHLly/RqFEjVK1aFaGhoXTlO484ceIEunTpwqmylhMGZwD1H0Kk/Ayyfv16tGvXDgUKFBDcLpPJ4O/vDwDYtm0bAgMD8cknnxhtN7czpQqjmP1zEsYYZs+erb2r2rhxY+zcudMqC8/TAE2EkiVLomfPnggJCcHixYtRpUoVvH37FsePH0fFihXRunVrlChRArt378bZs2fh5eWFH374Aa9fvzbaiW3YsAFqtRo1a9aEs7MztmzZAicnJwQFBSFfvnxo3749Bg4ciLVr18LNzQ0TJkxAQEAA2rdvny2vPSvpBWXKlEGLFi0wcOBArFmzBqmpqRg2bBi6deum7dRevnyJxo0bY9OmTahRowYePXqErVu3olWrVsiXLx9u3LiBb775Bp9++ql2EnGzZs1QtmxZ9O7dGwsWLEBkZCQmT56MoUOHmlTSOLcwtCA1P93QlH3Fyo6URiBtsnaHDh3w4sULeHp6YseOHWjWrBnnNWVXLKaiPsQ85vQhpUuXRnBwMAYPHoxFixYhX758CAsLw9GjR3Hw4EHtMQ0bNkRQUBAWLVqEt2/fas9Jd+Fzr1WrVmHEiBFQq9WoVq0awsLCEBAQIHVYRlH/YR5z+o90Dx8+xN9//43Dhw8Ltr1w4UK0aNECcrkce/fuxbx587Bz584sLUxMcrb4+Hj069dPux7eiBEjsHjxYqssDwHY6ELVUggNDUVISAjGjBmDUqVKoUOHDrh06RIKFy4MAJg8eTI++eQTNG/eHA0bNoSvry86dOhgtF1PT0+sW7cOdevWRcWKFXHs2DH89ttv2rzy0NBQVK1aFW3atEHt2rXBGMPhw4f1Ugpyql9//RWlS5dG48aN0apVK9SrV4+TSpSamop79+5pr3o7ODjg2LFjaNasGUqXLo0xY8agc+fO+O2337THKBQKHDx4EAqFArVr10avXr0QEhLCWTeN5C6HDh1C/fr18eLFC5QuXRoXL15Es2bNpA7LJNSHmMfUPsTe3h6HDx9GgQIF0LZtW1SsWBGbNm3Cxo0b0apVKwBpd9wfPnyI48ePo1ChQvDz89N+kdxp1KhRGDp0KNRqNXr06IG///7bJgZn6aj/MI+p/Ue6X375BYUKFcr0/8yRI0dQv359VKtWDYcOHcL+/ftFvd/ENkVFRaFevXrYtWsX7O3tsW7dOixbtsxqgzMAkLHsqL6RQ8TGxsLDwwMxMTFwd3eXOhxCLELqO2jZ4d9//0X16tVRq1YtbN26FR4eHtpt2XkHjfoQosuS87jMbUuKuWT8c4o9n1CsfEJtWeI1btq0CX379sW8efPw7bffWiUlyRjqPwixzRRHjUajLTS1Z88e1KtXz+rnpBRHQkiOpFartekixYoVw7lz51C8eHFKISGEiKLbh4SEhGhTYAkh1sMfgFladl6UTe9D5HI5Nm7ciKioqGybs0oDNEKykSl3sEL/F6P9vl89D8621acytnk4GG5HV7I686vGhs6X3R49eoROnTph7ty52rQ0fonpdDn5zh8hRBp79+7F5MmTceLECRQsWBCAZUtgE0JyL5VKhdGjR+PNmzfYtm0bZDIZXFxcRFUetRSag0YIyVH++usv1KhRAzdu3MCYMWOgVqulDokQYiM0Gg1mzJiBzp07Izw8HIsXL5Y6JEKIDYmKikKLFi2wYsUK7NixA2fOnJEkDrqDRgjJERhjWLVqFUaOHAm1Wo0aNWpg3759lNJIcixLzvWy5Fpf5s712nFe/zi5wE13c9dU4z8ndD6htjQCM+WF5sHFx8ejT58+2LNnDwCg1ReD8Un7bzn75tS13gjJLfhzyviZQ8bmxhvLijEla8bU+W537txBu3bt8OjRI7i4uGDz5s3ZMt9MCA3QCMlGhjoWfifVr17m+xqim6qoVHA/2RhqU/f8um2kHcdNebREOqRuG6rUFFzaNgnr1q0DAPTu3Rs//fQTHB0dzWqbEJK3PH36FO3bt8f169dhb2+PNWvWwK1cR6nDIoTYiN9++w09e/bEx48fUaRIERw4cAAVKlSQLB5KcSSESColORGLvmmPdevWQSaTYeHChdi4cSMNzgghojy+dwPVq1fH9evX4ePjgxMnTuSoBewJITnbypUr0b59e3z8+BENGjTApUuXJB2cAXQHjRAiMXsHR/gXKY3Ix7exbds2bVEQQggRw8c/CN7e3ihUqBDCwsK0a4MRQtJYu7S9bvsqDTcv2k5ueDUvfmZRVqpA8l+X2NdZqVIlKBQKDBo0CEuXLs0R6/zRAI0QIgmNWg25QgGZTIYeI+fj58WTULx4canDIoTYAI1aDZlcnlZdzc0Df/75J/Lnzw9nZ2epQyOE2ADdZTjq16+Pmzdv5qhKrzRAIzbJ1EmltsCU1+BooG6G7rwzQ5Nx+dtiUjKuenk4GL7ipTvvzNDPQmhbepW1c+fO4dChQ7CzS++GChg8JyFEHHMLYXxRS1zBkV/PRnMe96yjf9w2gSVFVBr+M/oVSBzt9PseDePu9zEmCssn90X1Bq3RossgABC8a8a/ki8WFRUhJHc7f/48QkJCsHfvXpQvXx5AzluGgwZohJBsExcXhz59+mDv3r0AgEOHDqF9+/YSR0UIsRXPH93BovE98PbVUzy5fwP1mneFq7un1GERYnGWTEs09Vhj5+Zv170YkqTiXhhx5V3wNZbCyD9e6KJNZsS8Zxs3bsSgQYOQkpKCfkPH49sFWwT3t3ZaqDFUJIQQki3eRjxD3bp1sXfvXjg4OCA0NJQGZ4QQ0a6cPoxpg5vj7aun8PEPwvTVh2hwRggRRaVSYcyYMejbty9SUlLQsWNHDJ++RuqwMkV30IhNskZKo7lpk/zjDLVhyjl+OB6r/d7JwBUkpYF0R0Ox8Uvp66Y1Jqu5V7B0YwEAL6VuPNx9uSX4PQEAp06dwsjBn+Pdu3coWLAg9u3bh8coYzDlkhBCgLQ1EvdvXIxd6+aAMYayn9THN3NC4ebhLXVohBAb8OHDB3Tv3h1//PEHAGDatGmYOnUqdl+KMXKkdGiARgixqq1bt6JPnz5QqVSoWrUqwsLCUKhQITw2MHgkJDcRWlTZXEKLO/MJzSUTQ2jemNBC1Sre9aLNZ8Qdx39OaAFq/nOMMayYPhjnj+4GADTu9CW6j5gDd0fuxxehuXJ2ZuYI0bwzQnKPly9f4rPPPsP9+/fh7OyMjRs34vPPP5c6LKNogEYIsary5ctDqVTi888/x/r166nKGiFENJlMhiKlKuPSX2HoPXohGrbv+98W8fNSCLFF2T3nydC5jc3H0s2G6V/fg7PN1DlnphAzX83HxweFChVCUlIS9u/fj8qVK4tqW8r3H6ABGiHECtJL6ANAxYoVcfnyZZQqVQoymfkdMSEk79DtQ5p/8TUq1m4K/6CSEkdFCLEFjDEwTVrZWHt7e+zcuRNqtRo+Pj4SRyYeDdBIjmWp+UmmzBEzB7+N1acycpr587zS52QJ7csvbe+l1KmKpOaeU7fMPn++mO6+iQauTOnPa8v8fNw5Z1y6Zf0B4Nmj21gxuT++nLgMqNcCgHD5WkPvfW5cRoEQIs6J37bgj13rMHX1b3B2cYdMJqPBGSFElJTkJPw07xs4u7ihW511AIB8+fJJHJXpaIBGCLGYy6cOYdWMwUhOjMe2H6dh+qDmdNeMEAsSM79MaD4WX4pa/+/STq5/IUZoLTH+hR+hQkVygRTEd0ncHZ14F3fUahUOrJ2MY7tWAwAO79mEFt1HwNVebwE1vbi6C1zEEfM+EEKyXlJed43DTbw5qSoNdzIov5/hzxXlX5A1lCLJT2l8+zoSSyb2xqM7VyBXKLB4Wz8EFiuj3c5/XeaulZgdaIBGCMkyxhjCNizG7nWzAQDlqn6K4bNCaXBGCBEl4eMHrJ/RD3cvnwAAtOs3Ac2+GCZxVIQQW/Hwzj9YNK43PryLgKu7F4bPCuUMzmwNDdBIjmVuWpu56XGWSrnTTVXk72eotD1/38lH4rTf86806z5+nsi9Kh3olJGfmMi7Sq77uLiSm8fIT2s0tE03xTIpMR4/zRmOC8f3AQCafT4IPUfMgp2dfeYNGmHKz55K9RNi2yKf3sOaSd3w9uW/cHB0xoBJa1C1QTupwyKE2IjTv+/C2jkjkJqSjICipTFm/lYULFQUtlxMiAZohBCzxX+MxuJR7fDk/g0o7OzRd8xCfNa+j9RhEUJsxIPrZ7Dmuy+QlPAR3gULY/jcXxEYXEHqsAixeYZSA42lMPIvSvNTAflt66568Sqel8rMS0NM5V045mcw81MkXyZwhypBrtwrxnvWz8fe9fMAAFXrtcCw79fA2cUdYgZnOfmiLg3QCCFmc3Jxh09AUUS9eYVRczehVKXaUodEiNWYu54Zfz+huVFi2xITg9D6YnzxAgWEUtT6C4cJzUuLSeXu58b099Ew/fblMv7cEwb/wsXg6OKGwBIVMHjGJvgXyAcxH6yE5pwRQvKeoqUqQiaToV3vb9BtyHeQy81cADGHoQEasQmmpBiam6poSrVH3X35VRR1J8zrV3Hkrg+iu123oiMABOgsF/YygXtFyt8545JTopp7+Uk3jdFbqT+5Pt2xNw6cxy46aZOlXVWZtgkADkiFQmEHQIF+E1chLjYK+QoGIlltOFVS9/Xyqz/qMuWqVk6+AkYI0adWq/7rPwCPfL4Yu+wQvHwCYGfvAFtOSSKEZA+1SgWFXVof8km9lljw63n4FykJucAFJVtFAzRCiGhqtQpH1k5EYvQb9J6cVgRE6eQCpZOL1KERQmxA9NtXCJ3WE592/hqfNv8cAFAgoKjEURFi+wxVYjS2WDQ/hVH/zjl3e1wK9y7V66TM71q523Pbep/M3fcdr61SbtwLxMXduY8vnT2BzT+Mw7dL9iIwMBAAULhYCQDM6OswpVolf19jbVt6YevccR+QEGJ1CbFR2PhdJ5zfvxbXT+3D41vnpA6JEGJDnoZfxpKvG+L5vX9w8KepSE1OkjokQoiNYIzh0PbVWDy2C16/eIQDGxdJHZJV0R00QohRb57exZZpXyAq4jEcHF3QY8JaFKtQR+qwCCE24sKf27B98UioUpPhW7QsBszYCnulo9RhEUJsQGpKMn5eMAYnD24FANRr1QMhoxdKHJV10QCNmMXcUvbmslT75s5dM7Qvf+6YbirAh2TD64DpztfizzOL15n3pVs6HwB2Ryi13z+L/cjZJtcpb+/C+wDkpXOKxt4pmcYVpZNycP/CYexf8CVSEj/Co2AQuk7dgSrlSiN9rsirBO6N+KJuGbHyf0/61fPMdJvYuYM054xYmtiiHWILeYhpn2/Hef195ALdB78AyGZexbO04/QP5B8ntECr0PTRRx/1Pyb48Oa2Xo3W38fjv7QmjVqNvzdMwZV9ywEA5eu2Rq+Ja+Ho7IYUgROqBOamCr0e/vslVJSke23LphwRQrJf9PvXWDwhBPdvXoJMLkf3YbPQrMuQ/9ZZzT1zzvhogEYIydSl39bizzXfAoyhcIV66PzdZjh75IfwRzlCCMmgUauwb0YXPLlyFADQrNe3aNE391RZI3mPKXOYrE3/ImfmsSTxqrbyS9nb8f4k3/LWV/XiXZRxdeA+fsG7wKzrZozhoUaQM/fzRGxqRqxvnj/E6m/bIfrtSzi5eiBkSihq1P4MagaAAV1renKONVTsDTD+8zI0Vy+7Lw7TAI0QkinfYhUgV9ihcvM+aDZ4ARRZWHyaEJK3yBV2KFi8El7c+h9ajFqDJs07SB0SIcSGePoEwNWrQNoC9jO3wycwGLn5rpkuGqCRHMNaaZNi0+NMKcGvW1rfwyHzzsJLyX3MbycqOeOqUwDvKtLPLzL+PEuncAdGVXTK4Ac4cCsonn2dkXIZm5zI2RaTHK/9fre6EGdbzf8Wf9SoVUj8r36QskQ9dF56ASWLleDsm6hzNY5fgl/3veGX0tcts6+b7siX3Sm0hBDL0ahVgH1a31a311SUbdwT3gElQHfeCSHGaDRpd+fkcjkclE74ctYOOCid4OTqYeTI3IUGaIQQrVd3L+DPHwah8fit8C5SHgDgWagUgMzXUyNECllZ7NlSx1nSF7X0YxB6jULz0vhSBOaXvTFQBjvd/z7o3yH/9/07/RgcuHNb3ZxdAaRVWYs4tAxRl/aj3tQjUDg4AlAAXqXxNgGISeXGVdUrVa9tldAC10JXzI2WBRdm7mLjhAD6KXJSpjzyL1waSs+z43UcKt6/9A+80vdu9hqD22N5f8sfdB7/7yM33bEQr1t59DGB8zjAJWPRV1VCLO6v6od8xSqjardJAIBinn4AgMT/ru842WX8rf9ymlsDwNHEUU1OSlnlo0RwQggA4M7xX7FnYktERzzC5a0zpA6HEGJDNClJeLRmEJ7+OhEf75/HqzM7pQ6JEGJDEiL/xfkpjfDs0mHc2PcD4t+9lDokSdEdNELyOKZW4enWSYg4nFZlrXitNqg38meJoyKE2IqUDxG4t6Qb4h5cBOQKFOk9H4Ua9pY6LEKIjXh/6ySuLemJ1LgoOHv5osmEHXDJHyB1WJKiARoxizXmBPHbtFRpdUNzyXS3mVKCX3cuVTJvDla/ehl50vzz3eGVo/5Lp7qRF68IUlXXjBSDK3HcdINrLyMzHqi45fIVOvPMAotX4Gx79vSN9vuiDgwpcR9wZkkfRFw7BgAo0HYMHNt+i1QHd6TqTBd5zKvo5K1Twamsp4qzTff9MPS+6X4P6M9XI4TkfAmPr+L+qr5IiXoFhYsXSo7cAs8Kn0GgMj7J4XJyupeunBRnVs6d1dehX7GQ+0dn6LOPMa95//PfpXAT7m7EcbdHJCZrv3e4e4yz7aF3Yc5jhU8x7feMMdw5vBrPNn8LaNRwLlYVxb7ZgRdefnjx30eZkq6Zx8lPteRz5dUIMPae62439edh6d9LGqARkkclRL3C8Wkt8fHVAygcnODffwU8qrWTOixCRLH23CFz57j9ejZa77medbjHiVkXDdBfuwzQX78sJkV/poLQPLUEXpntA2/1G1e/vKn3nHNspN5zqS750s599394un0KmCoFSr+SCBqxGXYFiyMuMR7Ozi56xwU5cy80xav0Y3exE1dIhD/nTMzcPIDmnBGSk7z6dTzeHfsJAOBdrzuKfPkjYKc0clTeQAM0QvIoRw8fuOQPhDolEZ+O34kXXsFSh0QIsSGOBYpAbu8I57INEDj4Jyic3KQOiRBiQ5yKVAZkchTqNhMF23wDmUymreKY15k8QLt+/Tp+++03eHt7o2vXrsifP792W2xsLEaNGoVffvnFokGSvMmUtEax6ZCmpFHyU/B06abj8Y9bfSrjuJcJ3D8xb97ijkV1br+XdeWmCm69/Vz7vZ23PzcARUZZJPvY15xN7tcyJue/VHflxh33HmAayOQK3FC6wKP7fLhr1HimzAck6LxeL25OAT82L2VG3DEp3EvX9z9mvGZ+WoVuaX1TljUQi8rzE2JdTJNxh0uZrxBKDF4Lu/KfQSbPfKFaYhtyakojn63ECRhOe8tyChzvLrIp7b3kLSztbs9ty57XtievquOzaO7nI/u3j7Xfy9TJnG1uL29wHqe+e6ztL3zz+8Nh6jEofYORGJtWMbahfz7O/vz0ygCXjD7InnfnnL+ANv894X9GWPs393UM/jTz99BYCqOlfy9NquL4559/okaNGti+fTvmz5+P0qVL48SJE9rtiYmJ2Lhxo0UD5Pvxxx9RpEgRODo6ombNmrh48aJVz0dIbqFJTcaTg0vx7Og67XMKF0/YueUzcBQhhKRJinqFO7+MQuz9c9rnlPkL0+CMECLK+weXcGv9SKTGR2ufU/pS9o4Qk+6gTZ8+HWPHjsXs2bPBGMPChQvRrl077Nq1Cy1atLBWjFo7duzA6NGjsWbNGtSsWRNLly5F8+bNce/ePfj4+Fj9/ITYqtTYd3iydSISXoQDMjl8PmkJ+JWROiySy1lzzSlLroMmRExbQjHw55sJ7Zei1p8wtflMtN5zcoFKG0Lz0vheC6x5dvgD9999apL++byv7dBvTJ22VtmH189w9/wRqFKT8erISrgVq6odmKmT4vUOq1rQUe85Fzvu1W3+VXtAeMVFR4ECQvw5Z2LeF0KINBjT4MX5/XhxcT8AIPLSAQQ2DJE4qpzNpAHa7du3sXnzZgCATCbDuHHjUKhQIXz++efYvn07qlevbpUg0/3www8YOHAg+vXrBwBYs2YNDh06hF9++QUTJkyw6rmNyeupVZaquGgNhmIzN1bd4/ipkF81EF/FsahTxq36O3HcbXL3AtrvVbG8xWJ1Kjc6v33A2ZRc7FPt9/bxUYh/9QAP98xGalwUFE5uCOo2E3ZFqgC81EhWqJz2+8e8tMXoGO5Kk40V3MqRuqrny1h8lp/+qPteKQ1cdDe3omdO+90jxNYxxvDq4XX8e+M0wBjcvAsisO8PdNeMECKKOiUJD/9ch6hHVwAABau3Q6FPe0ocVc5n0gBNqVQiOjqa81yPHj0gl8vxxRdfYPHixZaMjSMlJQVXrlzBxIkTtc/J5XI0adIE586dEzwmOTkZyckZubCxsbFWi4+QnOj9rZN4cngFmDoVjvkDUaT3Iijz5e21RUxBfQjJyzRqFR5eOY7XT+4AAHyCSqPEJ58hzi2/kSMJQP1HXsCfl8RnqIy7sX2zGotuxVcV79a0t5L7RCKvyuupKAfO42fJ3P0V9tw75I4fnmm/t0uM1n6fFPsO4QdXICH6LWRyBYJrtIBnw/6cY2UK7rle8eacuam5t8fL6YSSyrtzzq9yy8eft+dkwnWm7J77aNIctMqVK3PmnKXr1q0bfv75Z4wYMcJigfG9e/cOarUaBQsW5DxfsGBBREbqlwEGgLlz58LDw0P7FRgYaLX4CMlpXp7Zhce//QCmToVHcHWUCVlIgzMTUR9C8iq1KhU3T+76b3AmQ9GK9VCyWlPIFVT8WSzqP0heFvf2Ga7vno+E6Lewd3RBxSY94Vu8ktRh2QyTBmhfffUVXr58Kbite/fu2LBhAz799FPB7VKYOHEiYmJitF/Pnz83fhAhuYRzwaKATA7f2p8juPN3UCidpQ7J5lAfQvIqucIOzu75obB3QLl6bVGo5CeQ0erTJqH+g+Rlju75YefoAldvX1Rp0Q/uBQpJHZJNkTHGrDa1dtu2bWjXrh1cXPQXrDRVSkoKnJ2dsXv3bnTo0EH7fJ8+fRAdHY39+/cbbSM2NhYeHh6IiYmBu7t7lmMiuZtuuXz+7X/dMvN8H5Iz/xATxbt1H69TLOBCHPdee8zbF9rvZUru35DLo7Pa7+0S3mu/Zxo14mt01z5OvnoYjgWCBGNR8hagjSuUcWVrQFlu0Z0rvDloVT0y5pnd5c2dq+KZsU13Pl5uQH1IziZ2AWg+scVFdpzntv9FLXHH8eMSSsNJEaiOYSfQlcTz+qL3yfrXWV8k6uftnHzCvbjq8e9ZvX1kqkQwjVo7v0yjVkH17B84uXpy9out0Inz+JPyVfXacpDp95EVPbjLdTjZ6e/Tr55+n8F/38USWrxayoWqpe4/jJUJz6sMvS+mvmeWfI8NpSymPebu7yjw95Tug0A/oYv/GWfjS+7j1LfPOI/BS3P2Pr0KAMA0GjAHF+3FnKS4D3BIiYXCLuMzRHLRupxj/Wu048bKW6u+phv3iVJu3H5EV//6pn3mMPTzkrq2hEl30Ew1ePBgvH792viOIjg4OKBq1ao4fvy49jmNRoPjx4+jdu3aFjkHIbYs+tkdXP11OlLePtU+l9ngjBBCdDGmwbMLBxB+aJV2rTO5wk5vcEYIIUJSkxJw89hmRIRn1IVwdPXiDM6IeFZNJrf0zbnRo0ejT58+qFatGmrUqIGlS5ciPj5eW9WRkLyIMYaIG3/hyf92AYzh9YFFCBywQuqwCCE2Qp2SiAd//IQP/14FAHx4egveRWmuCCFEnPgPr3H7xA4kx0cj/sMb+BSvAjulk9Rh2TSbmu37xRdf4O3bt5g6dSoiIyNRuXJl/P7773qFQ/KinFzmPrvxb0vr4r833LLv3AsKXzXI2NdQm8lq8emPV2K4qUfROsd+xkv/2ReVcdVJ6cJNh0lPR9SkJiNyx1REX9wLAPCo3gH+TQeDRaSV3peruOXwVYXKa79PULpytvUolfF39DyRe3O9iQ+3nXPvM2KrrVNWHwCSdLIR+EsQGCKU2kQIsa6kmLe4+9syJL5/AZncDsUb9aTBWS5FKY3CDL0vxqowWvM95bfN/xxiZyQHLk5nSgU/hfEdL+Xx4BtuGmFRF25lxfu8u2Bu9/7Sfh/14BLC/9gITWoSHLz8ULLDGGjyByL9U0NysXqcY9UO3PnwjrzKin6815XfgZvLqbvOY3F37uemTbz1JPnvEf8zoKGqj1J/lrapARoADBs2DMOGDZM6DEIkp4p9i+frhyHx8T+ATI6C7cbC+9MQyFMSpA6NEEmYu7i0WBrG/WcuNDdKzLwnoeM0TP/TVorAtR7+Bwqh871J1X+S3y/E+ZVD3KPLeLZzFtQJMbBzy4eSbUbAzb8EdD+qJZVuqdeWXTHunDNXgYWki7vqzxPJ58j9EJgksGD3r2ej9c8nYjKG2PmAhBDLYIzh1fl9eHF2NwDAtWgVFO0yBU4s1ciRRAybG6ARQoDkN0/wdGVvqKIjIXd0Q6GQRXAtXc/4gYQQAuDD1cN4sWsGoFHDqVAZBPVeBLcU8Xe8CSF5F2MMjw6txPt7afPNCtToiIDmQyBT2AHx7ySOLnegARohNsje0xd27gUgd3BGYP8VUPoUkTokQogNcSwYDJnCHu4Vm6BQ58mQ2zsCb2mARohuGiM/zdBYSqMpKY/G0iX525NU3FvJ/KqNSbw0Rt1FmRPVhm9Dt/HhTr84+CY5kz3TxAdUgl3JupA9vATfTpPhVa+7NqXRPiGas2+qF3f91ZI+vpzHhXl31vkpjfa8FMgAp4ztcbzK2PyFqPlpisYqM1pzIXFTWXWAFhQUBHt7qt6SHaTOlTWXuXPnTCl/qjtHjH+cUqdPMuX8kQmZd3ZCpaPTFXXidkSPBcphp/PwzpgTlqxWg2nSOiWZXA7nmJco0WkCZPZKaPIFAOqMlAKZX4mMRp5c5bRZ2N0tY1OyJ2fbU51Ygnhx3ojmdhW625N4JXF18ef16b7HhuanWaq87dZz0Tb7t0GIpTG1Ku0KNwAn/5IIHr4ZygJBtL4ZIUQU3T4kX4M+cCvzKZQFi8Fq63XlYVkaoF2+fBnh4eEAgDJlyqBatWqc7bdu3cpK84SQ/6gTP+LJ6i/hFFQB/p0nAwDs3fIBAFIMHUhILiU0l0xoDhp/P6F9hOaECc1p4l+dFWprm0BBIf3nBOaICawb5igwt+tNEvffdoJKvy2h9dOSEz/i2ar+KDRgBVyCa0CusIOLfynOPokFi+sdV8xVvxKbP+8Kt5+j/lUaTwf9hd34c86cBS5mCU3aF5pnRwjJXh/O7cKH/21F0PDNsLNTQiaTQVmwmNRh5VpmDdBevHiB7t2748yZM/D09AQAREdHo06dOti+fTsKFaLVwgmxlKTX/+Leos+R9CIcsTePI3/DvnAwfhghhAAAnp8Pw6PlA6FJjkfEzukoPvGQ1CERQmwEU6sQuWcWov7eDAD4cHYHCnwaInFUuZ9ZA7Qvv/wSqampCA8PR6lSaVfg7t27h379+uHLL7/E77//btEgSdZIvRq6IYZiMaVcviG65dv5aXVit/HPt/pUxr6OvCzFD8niL/f66Fxl/iuG++fopQDe3TqJWz/0RGpcFOw8fVFk+GbIPQrC1y9jAeonkS84x2lidSboegdytj2L/aj9vrKvD2fby5SMuH14V7+r80rpP/6YeWpmlE75Xg8H7pV13Z9pv3qenG267z9/m7ly0u86IdmNaTS4vXsebu2YBQBwLdsAhb/6hVIaCTEgu+YaGZ9zxv07TVRnPscM0J+T9kHnf/G/8dz/2XEGyssDQEX3tP2TP0bh72W9EXXjBACgQKsRyNeoPxivD3Hw8tN+n+DCfV3NCnLL6t/lFZouxqv4yr+L7mbP/TzyUadK7eBPucvz8N9DKeecpbdtbjtmDdBOnTqFs2fPagdnAFCqVCmsWLEC9evXNysQQkgGxhie/L4G4Ru+BdOo4VT0ExQZsRn2Xv5Sh0YIsQGqpHicXzEQL86HAQDyNx0Mvy9mauePEEKIIdHP7uDkvK74GPkvZA7OCOi1AO6VmkodVp5hVk8dGBiI1FT9dQ7UajX8/ekDJCFZ9WTjGET+sRoA4F+vG7xDfoDcQX8uCCGE8CV/jMKJ6S0R/eQm5Hb2qDpwGZJrdJM6LEKIjYi89TdOzu2C1MSPcPEJQsG+y+EYUFrqsPIUswZoCxcuxPDhw/Hjjz9qC4NcvnwZI0eOxKJFiywaICF5kUvRTwCZHKV6zECxdqPxMtFwyVtCchMxBUDELEotdj9zi1AIL3ptvACIUCEM/iLYAPAiXj+V+G0yt4JsjMCi1L4eHvD2K47kD5FoMXEb/MrUxu1E46s9u8n1qy4Xd9IvABLMS0kSqlwrpgCI0PvAT9sCxBV/ISQ7mF4an5+WmHnb/L8HYwu0R/H6Am9oMt3uyv975K0j/4JXrv6VZzHA0RUuQZVQdPhmFMrPLY0fwftMUs1Nt69y4WyL452rg6/hzzNOvOJI/PdhcF1uWqMuU9MJrZnOmtW2zRqg9e3bFwkJCahZsybs7NKaUKlUsLOzQ//+/dG/f3/tvlFRUVkKkGRdTpqHY2ieF5814uaXfdfNT1ZmPq1KL4/Zw0CVDiedvyp+B8ovq9/aL6Oj8lKkQJGeftTxC5wrUw0ehdLSiF/bcT841fHIuINd0smPs+2v9xnbNCrune7a+TM6zitx3M5cqciIjd9BJvNy3/2d9Su0pSvqlvGBLiaFexx/vp4uQ78LhBDjNGoV5Ao7yORyNB71E5I+foBbASraRQgxLr3/ANLWWg3+7ggc8gVCZkfLZUnBrAHa0qVLLRwGIXnbxRMHsHXtHAxYcAiuXmnFO9IHZ4QQYohGlYrzoROQFPsOjUZvACCDvaML7B1djB1KCCFIev8C/yz6AkXajIB/3S8AgEroS8ysAVqfPn0sHQcheZJGo8G+XxZg7y/zAQBn9qxE8y9nSBwVIcRWJMW+x1+LeuPVzVMAgLKthqBwudoSR0VIzmEsLdEUph7Lr6yom8bIzxLadCaa85ifHsmvZshvm7+/tzJj/+hUbjaPbhXHd/cu4PyCL5AU/QYPf52E8nXaoZCbktsWryLzm1R73vaMWDx5cfLXZeRnFgU4c9vmp3qaUnmRL7sqclqD2eWcHj16hNDQUDx69AjLli2Dj48Pjhw5gsKFC6NcuXKWjJHkItZKYzO3RLtu6p4pseke94hXcr64ToofPxXQ3zljWemkhDjMHf817pw5AAAo33YoSnb7Hk//S4MsqzPPw8ch82T0N7zccTuddISqntxczNIG2gxwzki35KciJvGmoSTq/CPw5b1G3c7U0FIJ5srJy0YQ01lywWlzzyd2Pw3jPxY3h4p/nNCct3iBuWRCiz3H6/ztvXkSjgPTv0Bs5GPYO7qi8Tc/o3C52lAItF/OiduWl71+2272+rF7COwnBv81A0B33t+q0ALhQmi+GSHW8fjEFlxaMwwaVQo8C5dDw4m7oHBwBCDwB0yylfFZwwJOnTqFChUq4MKFC9i7dy/i4uIAANevX8e0adMsGiAhudG7iKeY83Vz3DlzAAp7B3QcvQq1ByzQ5n8TQoghd88dwrpvPkNs5GO4FyyCTvOPo1ittlKHRQixARq1Clc3TMCFlYOgUaUgsEZbtJj7F9wKFpE6NPIfsz4NTpgwAbNmzcLo0aPh5uamff6zzz7DypUrLRYcIbnR03vXsHhMZ8TFvIerlw96TPkVhcvVxNNEqSMjhNiC82Gr8fva8WCMwb/8p2g+fjOc3PNLHRYhWpZMK8yqrJzb1KqNxrYL3WFPp1/F0fBC1PyURv722zEZ2TQuOoW/1GoVwhd9jnsXjwMA2vf9FiU7T4FMLgf+qwQZxSvw5efITaOp5cYdPhTWSVOM5WUDFORVguUvuM1/3fzXwU/9tNNJQeC/R7ac0shn1gDt5s2b2Lp1q97zPj4+ePfuXZaDIgQwnB5nKK3N3OMMtcOvYngjOuNPp3o+bqVEQ2mTq0/FwK1gETi7e8GrYCH0mb4VXj6FADBO+iEAROmkLgbyOjjdstY+KdwUJBeh/CaB4+ITM9/vQzJ3G7+Mtpcy838yuummhipjmotSGkle5xdcETK5AtVa9sMn/RZCQVXWCCEiKRR2KFyyAu5dP4uBk1ahxmcdcDvGrIQ6YkVmDdA8PT0RERGBokWLcp6/evUqAgICLBIYIbmJSqWC4r8y9s5unhi+cC/cPPNDbUdV1kjeZsn1zMydqyR2PS79uWPG55sJtR+vEne+VJ1rL2qVCor/lrUJKl8XX685jwKBpeDhoAF/UaMEgfaTeBeZCij155YJzY0Tem+GNXLnPN4mcFFM6Dgx5xO75pm5cxAJyavUapV2KZ/PB07Gp616wrdwsMRRkcyYNWTu1q0bxo8fj8jISMhkMmg0Gpw5cwZjx45FSEiIpWMkxKa9e/cOTZs25aT/5vMtDAdHZwmjIoTYike3LuD7PjXw6nG49rkCgbQMByHEOMYYzuxehg3ftoQqJa0YmFyhoMFZDmfWHbQ5c+Zg6NChCAwMhFqtRtmyZaFWq9GjRw9MnjzZ0jESYrNu3ryJdu3a4cmTJ7h27Romb24HZzdPqcMihNiIs0e2YNsPo6FKTcGB9bPQafJ2qUMixKjcMhfI2Ovgb+dPsbDj3QbRvbPM39eR94mcf1f9VTx3zoA7r+qqindT3NNeg9SUJIQtHYGrx9L6jWsnd6Nik5448ppbRv8TdxXvWBhUlre/7hIAbrxj+e+Bk5EKkcbK6uu+5/xtlpz7KPU8SpMHaIwxREZGYvny5Zg6dSpu3ryJuLg4VKlSBSVKlLBGjCSPMmWuke5cL1PKsOvuG8ObFPtVA3Hn151zpRtLWFgYqjftheSkeOT3L4Ihs7dB5uSFRJ1+TXeyrJMi806LX8r+UERG59rEJ4Wz7dibjNL60by0piCd9UdKunE7WF2jG7tnuo2P//qVOq+D5osRYh61SoV9a6fi+K5VAIDKn7ZFnwmrEStxXIQQ2xD7PgJbpvfAi3tXIJMr0HTQPFRo3EPqsIhIZg3QgoODcfv2bZQoUQKBgYHWiIsQm8UYw+zZszFlyhQAQMkq9fHl9I1w9fDmDM4IMUdemI8jtD4Wf76S0GsWeo7f1he1jO+TWVv8uVYpAkuEOQpcaOHP/xKan5Ws01bCxw/YNLMf7l85AQBoFjIBzXqPB5PLYa82vj6RUAzOvEI/+Rz1g+dfgQf0K64B+r+D/CvkaW3pH8d/n4XmoAnJbb/fhFjbozv/YNX4Xoh9HwEnN090nLgZRSs3lDosYgKTB2hyuRwlSpTA+/fv6Y4ZITyMMfTs2RPbtm0DADToOBCfD51DVdYIIaJEv32JVWPa4N3Lf+Hg6Izu41ajUoMOUodFCIHxtDdj6Xm62/XLx3PPxS+j/y6Zu4O3knvF98zbtOyZxxcO4c+FvaFOTUb+wqXRddoO1C1TGLrFhPz4C9fzigbdieYODwryLui858XipFM9mp+aqf+Y8zBLqYPWTDuUOk3XrDlo8+bNw7fffovVq1ejfPnylo6JED2mpC3yS+IbIjYFj5/GlxmZTAZ5/nJQ2Nmj75iFqNumL2c7/8q2l04utm5qIsBNXeR3lvXyZWx79JGbl15UpyQ/P23SXydVUsnbpvu+GXu9usf2q+fJ2WZomQNCiGFuXj7w8ikEdWoq+s/cioDgilKHRAixId6FS8NO6Yxin3yG9t/+DKWzO/iVXknOZ9YALSQkBAkJCahUqRIcHBzg5OTE2R4VFWWR4AixFbolsFt2+xqVazeFf5GSSFYbOZAQkucxxqBRayBXKKCws0fIlI3QaNRw8yogdWiEEBugVqkApF3k9fArjs4LTqBI4aL/LT5NbJFZA7SlS5daOAxCbNffBzfhr73rMH7FITi5uEMmk8G/SEmpwyKE2ICU5ERsXTQCSldPdBq+EADg4uEtcVSE5B5ZqcZn6rH8/fl0M0z4qX4f9NIGuVkuFb1TOY/Tqzq+ffEIv0zriU5fzULZGk3SNrqnr1OcljXzMZWbWZTKm2/KT0MMdFEb3J6PlxLpqDPHlb8vfz6qscwl/Ywp6/28cjKzBmh9+vQRtd+8efMwZMgQeHp6mnMaQnI0tUqFHT9OwrHdawEApw5sRIvuwyWOiuR25hZMsGRxEbFt8fcTez6hQh5iFqEWWjC5u4h/7kLnE2qLL1FowWmBDGt+2vXH/46LefcKm6f3wIt7/0AuV6B6my9RMKi0dj8Pe/2qHUrehzqhBa6FCnS48doSKgjiIFBcRKgACH8xbrE/L0sW+zD3d4uQ3OTe5b+wcWZfJMbFYN+aKShd7TPI6a5ZrmDWAE2sOXPmoGvXrjRAI1lmrXLtuldqDJ0jiZeqGB/7Aeu/74e7V04CADp/ORFte3wNuZwZnAPHn/elq7VfMuexbtn/4m6Z50qW9cw8tzwygdtRf0jOaNNLyd87g6E4+fTL7Is+lJA86/ndy9g0rQc+RkXC2c0LPaZs4gzOCCEkM4wxnNqzGvvXfAem0SCoTHUMmrmFBme5iFUHaIyJ/5BHiK2IeHIXa77rjrevHkPp6IKvpq1B9QZtpA6LEGIj/jm6DXuXjIAqNRkFi5RByIztyOdX1PiBhBA9xtLasrNKYFwKd4Dk6mD8znU6/l1u/hIXV96nzTFTpSbj6I+jcPPoZgBA7RY90GPMEkSpnfFe5zpvEdeMi7cfU7lx6S9yzT2Xm73hSozgLTbNrTjJbYt/rLGfl1BWgKHjDbVly6w6QCMkt7l/7X9Y8113JCV8hHfBQAyZsw3lypSTOixCiI04tGEuDm+cBwAoU7sVuk1YB6Wzm8RREUJsQUpSPHZOaodXdy9AJpej81cz0bjL15DJZECi1NERS6IBGuEQm/Intg1LtWOsDd00u371PMxqx1DcHg5pV3SCixWHk4sbipaqiBGzNsDdK79eSqOh9ED++XXj1k0/BAAnnUm3rxL465/olsvnnoOf1pgZfpzmvjck7xE734e/X1bmJYnZr7uI30uhGPhzqtLopyrzr37zrzID+hP9+QqVqAyZXI5WPUej/YDv/ktJ0kBo/WmhRaJdeQtOCx3nZGc8e0VovpnQ3LWedTz1nhMzH9DaaM4ZyYvslc7IH1QG75/fw6Dp61GuRmOpQyJWQgM0QoxQqTLSBLzy+2LKjweRr2AA7OwdDBxFCCFp1GoVFIq0f7cV6rTEjI3n4RdElV4JIeKkldG3g0wmQ9OvfkCtLmNQrkSg1GERK6IBGiEGvHjxAh07dkTNNoNRp9nnAICChWiuCCFEnPBLx7BrxTgMWxAGb9/CAECDM5LrZbU8vSlziaScd8SPu399biybzkRzHutWReXPtUriVYX1Umqg0Wiwc+0cPL5/A2MWbIdcoQAgA3wKIYlXH0x3zhn/XAWcuIXG+OfiZwfw79478TJ1Qup6wlqM/Tx17/Tn5mweqw7Q6tevr7eINcnZpPxlz0oanSlVBzPDT1U8f/48OnbsiMjISDx6FoGK9drCXumodz5+hccknXYceZ0a/zXqpkN5KXmdtU673vw1R3Ta5b9P/HNkhv96ddMtTUl/5Fdx5KeYEpIXMcZwYvcqhK2dDKbR4PctC9Fj7AqpwyKE2IjE+I9YOX0ILp8+AgC4dv4oPqnbQuKoSHYxe4D26NEjhIaG4tGjR1i2bBl8fHxw5MgRFC5cGOXKpRVNOHz4sMUCJSQ7nTmyFUMWjUJKSgrKly+P3lO2aAdnhBB9YuaXZWXe0I7z3PbNXXtLaL6ZhunPvZLLhC76GK5OBgBuDhqkpiRj4+LR+N/hrQCAWi164YuRiyD/73D+IrGA8LwxoQtP/BluBorCcY+TGX4MCL8eMe8p/2cDCP98CCHivHn5BMsmdseLf+/C3kGJQROX0uAsjzFrgHbq1Cm0bNkSdevWxd9//43Zs2fDx8cH169fx/r167F7925Lx0lItlCrVNi1Zhr+3PEjAKBDhw7YtGkTdl8X+zGIEJKXRb9/jZWTeuPhrUuQyeXoPmw26nT4Kq3KGiG5VFZSFM3ZPyuMxaq73dA2MdsdeZ+yddPz+AWFvP7LlLl1+W8s+a4f4mI/wDO/L0bP24LiZavqXUDht81vT3d/YymKv5zmZsLwCyAZy2gyVPqez9R0V74etfPGxR+zVrSbMGECZs2ahaNHj8LBIaNQwmeffYbz589bLDhCspNapcKyCd20g7MpU6Zgz549cHOjEtiEEONePXuI77/8DA9vXYKzqwfGLNqFZl2H0OCMECLKqcPbMXtkZ8TFfkCxMp9g5vrjKF62qtRhEQmYdQft5s2b2Lp1q97zPj4+ePfuXZaDIjmfufPFrFGC31g7hrbpzsNS2NkhqERF3L92BgMmrcaMKX202wyV7k8vwS8GvwS+r3PGnbnHH7mXuIq68Sa36dDd15T3QndfS5XZN3dZA1NYo01CLC2fjz88vH3g6OyKkfO2wjewuNQhEUJsSFBwOdjbK1GjaRv0H78UDkqq45BXmTVA8/T0REREBIoW5Vazu3r1KgICAiwSGCHZRa1SQWGX9qfQceBk1G3ZA76FgyWOihBh5q4llpX5X2LWvbL2ulT8OVNi3wcxc9e2CRTWEVoTjB9DgkoOjSbtIotcLgfsXDF83jYoHZ3h7Oqhne8mZl0yIQ4iclyE5o0JxZ7Cy9LuKfLnJeZnT/PNiJSVFC1N9++HX4UxpG7WUh512f93mvTPIHEpcuQvUglT1p2Eb+ESkCv41RW5f9dCVR91CfUN6fgXXV15F5r5r8PYhWBDP3+xhcsyk5t+t0xhVopjt27dMH78eERGRkImk0Gj0eDMmTMYO3YsQkJCLB0jIVbBGMPv21dg/og2SE1OApD2IYsGZ4QQMRLjY7Hyux74beMC7XNe+f3g7EqVTAkhxj17cANT+tTCo9uXtM/5BZWktGhi3h20OXPmYOjQoQgMDIRarUbZsmWhVqvRo0cPTJ482dIxEisyN+XQlDQzQ+lpYreZQsxrSkpKwuDBg7Fz0yYAwIXje7B+zteZtsMvSd+vnn6b6XTLzhtK/+O36+/Mvfqlmw7py9tmKP1R9xwxKdy4PcxcW5v/+g2hFESSF7x+8RiLx/fAqyd3cfvSSXzaJgReBfylDosQYiMun9yP9XO+QkpSAnavmYZxyw/RwIxomTxAY4whMjISy5cvx9SpU3Hz5k3ExcWhSpUqKFGihDVixJMnTzBz5kz89ddfiIyMhL+/P3r16oVJkyZxipQQIkZERAQ6duyICxcuQK5QoNuwOajbsofUYRFCbMSty6ewYnJfxH+Mhmd+PwybvYUGZ4ToyGpVx+w8N39/3SqB/Iuq+heODQ+o+Of+5XQMNBoNftswHwc2zAcAlK/eCCNm/gI3JQOQkWrIr8o4uK7hC778i6O6r4ufDuloJO3a0ALb1mbK74qUv2fWZtYALTg4GLdv30aJEiUQGBhojbg47t69C41Gg7Vr1yI4OBi3bt3CwIEDER8fj0WLFln9/CT3uHTpEjp06IBXr17By8sL/aeGoly1hlKHRQixAYwxHN29DltWfAeNWo2iZapi2Jwt8MrvJ3VohBAbkJQQh/VzvsI/f/8GAGj5xdfoPvT7/+bBmzdXleROJg/Q5HI5SpQogffv31vtjhlfixYt0KJFxgJ9xYoVw71797B69WoaoBHRDhw4gK5duyI5ORllypTBgQMHcDqygNRhEWISSxbjsHbBETEFOsQSc06hBZP5i1ALvWahRZuFFq/esGQ8ju9ZBwCo0/wL9BizDPZKR87C0/YCV5rjU7ltCZ3PxV7/wxm/sAcA2PGOFSoI0l0gzVhMsQ9zmft7REhe8v79e8wd2hwvHt2Gnb0D+n/7Axq06Sl1WCSHMmsO2rx58/Dtt99i9erVKF++vKVjEiUmJgbe3t6SnDursrtkuKVK4ottw5TXZG47uvO8jB2X/jpeJwfC2dkZTZs2xa+//gp3d3dcfBstqh1D5+PjzzvTxZ/L9SE54zG/0pvuvDNTSuDr4i8BoNuOKXP8DL2m7EDz2khOULR0FcjkcnQdMh0tug9DiiYb834IITbNy8sLPv5FEfvhLYbO3IzyVWpIHRLJwcwaoIWEhCAhIQGVKlWCg4MDnJy46zRERUVZJLjMPHz4ECtWrDB69yw5ORnJycnax7GxsVaNi+Q8KpVK+33BQkVx/vx5FC9eHAqFwsBRhKShPoToLsNRr2V3FCtbFf5BJSWOitiCvNx/WHoukKFy9fxzGS8RL74UPp+h0vVCfjkdw+lDRn6/CvFxMcjnEwB+SuPbRO7nEieFaecy9Dr5c8pM/fmY8h7xGZobZ04sljo2pzNrgLZ06VKLnHzChAmYP3++wX3Cw8NRunRp7eOXL1+iRYsW6NKlCwYOHGjw2Llz5+L777+3SKzE9jx48ACdOnVCq/7TUKlWEwBAyZL0wYqIR31I3nbhrzDsWT8Pk1b+Bg+vtHRoGpwRsaj/yNtSU1Ox5YexSIiLwcApP0Emk8HR2RWOzq5Sh0ZsgIwxJtmsxLdv3+L9+/cG9ylWrJi2UuOrV6/QsGFD1KpVCxs2bEhbGNQAoatXgYGBiImJgbu7e9ZfADGZuemW/BRDpSLz1D0AOHr0KLp27Yro6GgUKloaczf9D3KFQqBcfkbqnqHYTInblBRW3ddl6DWZ+74ZOp+hJQCMLXmQV1IOqQ8RJjTXy9z5ZWLb4s9zErMoNQAk8f7m+9T11NtnM+/qskajwd5f5uHAhoUAgNa9RqHLkGl6C4fGq/TnfwktSs2fNyY8503/OQeBK+j8amxC+wi1b+4cPlqE2nzUf1iOKXfQ+Eypdshvj3+ssTto6ce+e/cOXbp0wcmTJwEAE1f9ieDyNeDqIDCx9D/G7qD1r2+4iiOf7uvUX3DbE6aw5F2v3Fx50ZLMuoMGAGq1GmFhYQgPDwcAlCtXDu3atTMpdaxAgQIoUEBckYaXL1+iUaNGqFq1KkJDQ40OzgBAqVRCqVSKjofYPsYYVqxYgdGjR0OtVqNWrVro9V0o5JTSSMxAfUjek5QQh7Uzh+DK6UMAgOZfDEWnLydJHBWxRXm5/7D0h3Dd4/ltZ7WsviHGBnP8Ij1bz0Xj+aM7WDy+B96+egpHJ1cMnrYWpStWB8D0Sufr8lJyB2+qzMdygrEZYqysPp+paaGG3nNj+9KATZhZA7SHDx+iVatWePnyJUqVKgUg7VZ+YGAgDh06hOLFi1s0yJcvX6Jhw4YICgrCokWL8PbtW+02X19fi56L2K7k5GR8/fXX+OWXXwAAffr0wZo1a7D3apLEkRFCbMHbV0+xdGIPPH90B3b2Dujz7RLUb0VrJBJCxLn892GsnjEYSQlx8PEvgpHztqJQsTJSh0VskFkDtBEjRqB48eI4f/68tpLi+/fv0atXL4wYMQKHDh2yaJBHjx7Fw4cP8fDhQxQqVIizTcIMTZKDJCQkoGnTpjh79izkcjkWLlyIb775BjKZDAAN0Aghhj2+ew0Lx3RGXEwUPLx9MHzOZgSXpyprhBBxjuxYjS3LvgMAlP2kPkbM3gAnN9usNk6kZ9YcNBcXF5w/fx4VKlTgPH/9+nXUrVsXcXFxFgvQkmJjY+Hh4UH53wZYYwkAc8v1m4IxhsGDB2Pnzp0YMOUXlK/ZWHA/Y3PXxBL7Phkrz2+ofL3usUlq7jbd8vmWeA1ZaScnsfZrsnYfktvXkxKa4yQ0X0oI/33YJtCvCK3/JXROvhS1DPGx0Zg+qAmcXNwwau4WePsE6O/HS2cSit3ZTj8vib+mmlwmsOaZWr8xobSkuFRuipSrvdD59OPix5qV3yv+e2runLe8xtY/g9hKKpol/w+YMgftzj9nMGt4RzTq0A/dh8+GnZ293lwv3feQnx7Jbzsuhfu3zu8PTK0oqcuaaYa28nuS05l1B02pVOLjx496z8fFxWkLehCSHVQqFezs7CCTybBy5UpMmDABp17lkzosQogNUKtU/81PlcHF3RPjl+6Fu1cBOCidjB5LCCG6JfTLflIXszadoUqvxCLMWmWzTZs2GDRoEC5cuADGGBhjOH/+PIYMGYJ27dpZOkZC9Gg0GkyePBlt27aFWp12e8nBwQHFihWTODJCiC2IjX6PWSM64s8967XP5fctTIMzQogod6+fx+hutfDi8V3tczQ4I5Zi1h205cuXo0+fPqhduzbs7e0BpN3JaNeuHZYtW2bRAPMyKVLQLFE+3hopjbptJsZ/xG8rh2P//v0AgMOHD6Nt27ba7ZZKYzRUkl5srEpe8UhT3jfdY/ntWIM10luzm63GTbLX04e3sWhcT7yNeIZnD2+jRpOucHET/zdOSF5kSqqaNSv3GaukyE/9M7a/Of83Tvy2Bevmj4FalYozuxZhz549gvvpfx7KOLexFEV+SX5+3HymVFI0VqUxK0ytokkpkMLMGqB5enpi//79ePjwobbMfpkyZRAcHGzR4Ajhe/PyCRaP644Xj+9CqVTip59+4gzOCMmLrD13Tah9PqF5T/w1tMTOVRKaNyZm3pPQvDTdD0QAcOnUQayaMQTJifEoGFAUY+b/Cic3D/Bncgmll/Dne/HXWAP055sBQuWyxc03E3pPhea48Zm7dpnY3yNaG43kVWqVCptXTMGRHWsBAJ07d8bGjRsljorkRmavgwYAwcHBNCgj2eb2ldNYPqkP4mI/wM/PD/v27UPNmjWlDosQYgM0Gg3CNizC7p/nAgDKVWuAkbNC4eruhRTjYx5CSB4XF/sBK6f0w81LpwAAXQZOwPY1s0Wty0uIqcwaoHXu3Bk1atTA+PHjOc8vWLAAly5dwq5duywSXF5nS1UUDaXHGTq/2LS600e246c5w6BRq1GsdBX8few3BAToV1kTYm6qou6++tUYZZluM5SOyH8vknWuwPer5yk6NmvQff9zY4VHkncxxrBy2pc4f3wfAKD554PQc8Qs2NnZSxwZIcQWvH/9ArOHtcPrl4+hdHTG0GmrUbNRWxqcEasxa4D2999/Y/r06XrPt2zZEosXL85qTIToCSxeDvb2SlRr3BpfTlyGgAA/qUMihNgImUyGYmWq4NKpg+g/dhEatQuROiRCcjX+vCL9cvXmt52k4qYI80vZ85lSKh8QLoXv4lUQXj4BUKtVGDn3VxQuUQFJKv35VHz818mN3fDcOb6sXCjN6rw7S84bozln4pg1QMusnL69vT1iY2OzHBQhQEYJfQAoUrICZv1yAn5BJf5bfJoQQgzTLYHduvswVKnTHAFFqMoaIcQ4xhg0ag3kCgXs7OwxbOYGMMbg7pVf6tBIHmDWAK1ChQrYsWMHpk6dynl++/btKFu2rEUCI3nb9evX0bVrV2zcuBG1atUCAPjTByuSy4kp7CG2kAN/v6wUDTFWJS0zYoqLiF28mh+D4GLPOnPJTh7YiBNhv2DaqgNwdnEHZEBg0RJ6i74DwgVBHBT67RurogYIvzf844QKgoj5GWa2n6WOo8WlCUmTkpSINXNGwtk9H3qNmgcAcPOkNVZJ9jFrgDZlyhR06tQJjx49wmeffQYAOH78OLZt20bzz7LIGqXOTZkTZko7YreZ2uaePXsQEhKChIQE9B0yGlNWHdK7a2ZojpQpsYidO8efH2boOFPmvJn7s7AEa/w8CZGaSpWKbSsm4fiedQCAv/ZvQpsewySOihDbl5U0N/7/FGOpgYbOZSylkX+ssRLy/P2j3rzCwvG98W/4VSgUdmj5eT/tnXdjywXwGdqfn6rJT3k09tnN2P9p3f31K8lyGfvZmlI6n1IYLcOsAVrbtm0RFhaGOXPmYPfu3XByckLFihVx7NgxNGjQwNIxkjxCo9Fg5syZ2vmN5as3xPCZv1BKIyFElLiYKPw4tR/Cr/wNAOj05SS07j5U4qgIIbbiwa3LWDS+N6Lfv4abhzdGzQmltGgiCbPL7Ldu3RqtW7e2ZCwkD4uLi0Pfvn21iz2OGjUKn3SapJ0/Qgghhjz/NxwLvu2Jt6+eQOnkgkGT16BqgzaQCaRCEkII36nD27Fu3jdITUlGYPEy+HbBrygYUETqsEgeJWOMmfzf6/nz55DJZChUqBAA4OLFi9i6dSvKli2LQYMGWTxIS4mNjYWHhwdiYmLg7u4udThWY8ptcHNL8Bs6h6nnj4v9gNnD2uLZw9tQ2Nmj/7gf0LBNr2xZAsCcNrLSjqF2Ka0w58sJfYjQnC0h1lxM2Nrz4IReI38BaN1FnO/88z/8MK47khLjkN+vML6ZtxWBxcsBEFctTsy8Mf45AeG5ckJz4/g/C+EFtfV1pz4hV7FG/2EoNc3UlERT/88ZSu/LapqbJasGijF16lTMnDkTAFDt01YYNm01nFzcTD6vsZRHXfwUR6G5qbqyWolRV3a/v1lhS7FaklmFTnv06IETJ04AACIjI9GkSRNcvHgRkyZNwowZMywaIMn9nF09ULBQMbh7FcCklQfQsE0vqUMihNgQv8DicHJxQ+nKdfH9ur+0gzNCCBGjatWqkMlkmDx5MsbM2wQnFzepQyJ5nFn5Y7du3UKNGjUAADt37kSFChVw5swZ/PnnnxgyZIhedUdChKhUKgCAXC7HkMmrEP8xGvkKFpI4KkKILdAtoe9VwA+TfzwEr4KFaPFpQogoukv5tG/fHnfu3EHp0qVNugtGiLWYNUBLTU2FUqkEABw7dgzt2rUDAJQuXRoRERGWi47kSqmpqfjmm28QFRWF1sN+hEwmg6OzKxydXaUOjRBiA96/foEfJvRGqx7DULtJZwBAwUJF9VIQCcnpspq+ZWh/UyrvAfrVDrNa2c+UtixJzMLU184dw4YfJmLyin3I75t+Ybggblz4wInNWNrnpjPc7Y68T9WG0hiNpV+bu7xJOkOVFS39/luzimNeSWnkM2uAVq5cOaxZswatW7fG0aNHtXm7r169Qr58tE6E1EzJS7ZUeXyxc6lWHHqMVVP74O4/pwEAw4YNQ53adYyeT7d0PaBfvl5suXpz59yZ+3qzwtxz0Ly23E3s3DIxa5DlhLW3xMQJZMztun/zIhZPCEFM1BtsXzUN1T9tDQelIwDhtcvEEDuw439ASlHrT0LrXdf4axb6oCUUgzXfU1rzjORFjDEc3Pojfv1xOphGg70bFmPQhCVSh0WIHrMGaPPnz0fHjh2xcOFC9OnTB5UqVQIAHDhwQJv6SAjfrVu3MGNgG7yLeAqlkysGTVmLOnWMD84IIQQATh7aip/nj4YqNQWBxctizPyt2sEZIYQYkpKchJ/nj8Gpw9sAAI3a9kK/0fMkjooQYWYN0Bo2bIh3794hNjYWXl4ZV+EGDRoEZ2dn7eMzZ86gWrVq2nRIknft378fvXr1QlxcHPL7BWHEvG0oVKys1GERQmyAWqXCrz9Ow+HtqwEA1Ru0wVdTVlNaNCFElA/vIrFofG88vH0FcoUCISNno0WXgbTOKsmxzF5kSqFQcAZnAFCkSBHO45YtW+LatWsoVqyYuafJc7IjPU03XZCfKigWP1UwJiXzTm7ZsmUYNWoUAKBRo0bYtWuXNhVWt51kXrqQbmz8OPVTHj3Nittwm5m/N9lRrl/sMgf8/Qwdp/salbx0MEqHJDmRWqXC/LFf4MaFtMrBnft/i84DxgMyhcSREZJ1Us6v4Z/b2DwxU8rqm1pow5Jz1PgpxK+ePsCMYR3w4W0EXNw9EbZnF5o0aaLdLnaKhFCcdkJrbejgl843NL+Nj/86+O+Jsc8T2fm7lVfniVmTWWX2xTJjiTWSC1WpUgV2dnYYOnQo/vjjD5qnSAgRTWFnhyIlK0Lp6IxRs0PRZeBEyOVW/ddFCMlF8hUMgIdXAQQUKYk5649xBmeE5FRm30EjxBDd8rWffvopbt68idKlS0scFSGWse/yBzi7qAFYttiCuUUhhPCPE7vAtRCxhTyMHSe0+LPQc73renL6kM+rL8byNj3hXzjY4PmE2uJfhRbaR2hxaTEV08QWJeEvTC28wLX+c2KLuIhBRUFIXqJRqwGZDHK5HEpHZ4xfvA2Ozi5wdrHMAuGEWBsN0HIYS6TOGWvDUOqeuSmWHg4ZH1TOnj2LPn36ICwsDOXKpS0Ym9ngTOw5+Lfy+SmN5satu6+hdANTUhMN4adximXu+Y29b4TkNIwxLFy4EAcOHMCxY8egVCqhUCiMDs4IyYssmRpo7NistM2/MKJfCt/w8aakV7Yoo0CPHr1Rs2ZNTJky5b9nM/YxtrwANy7DF2GyMjWAX4Lf1cG0rDMppyVYc9mE7FySISejPBFiUScPbkHDhg3x8OFDnY6REEKMS0lOwtpZQzBu3Dj873//w44dO6QOiRBiQx4+fIhatWrh0KFDmDdvHl69eiV1SISYxap30Kg6Tt6hVqmw9cep+H1HWpW1zp07Y+PGjRJHRQixFR/eRWDZxN74N/wKFAoFli9fjt69e0sdFiHERhw7dgxdu3bFhw8fEBAQgLCwMPj7+0sdFiFmseoAjYqE5A1xsR+wYsoA3LqUVmXt+++/x+TJk2kiP8m1Olbzgrt71uYyWHK+mRhCC1zz50YBwnOh+MdaOvaLFy+iw1cdEBERAW9vb3z9/S/I98mn2HkhIz4N4wYmtLCzUDoSfzFpoX2E3ptfz0brPcc/1kgBN4PnNJclF/+2lOz+XSYZckr6l7GqjcYqEpqCfyxjDCtWrMDo0aOhVqtRonw1jJm3Cf+qffHvhQ96+5tSDdFYnPxj+WmL/CqOum0b6xdMfY9MSQPNKmv+3uWU32mpmTVAe/z4MVQqFUqUKMF5/sGDB7C3t9eW2//48WOWAyQZzC2tbgqx7aTv9+LFCzRq1AwPHz6Es7MzNm/ejE6dOmV6nClzqbjLAXD3M3dOlrll7U15fw0tY8AvbS+WuT/fnFY6PzuWkSC2Zf/+/fjiiy+QnJyMcuXK4cCBA7j0hv5BE0LEGTZsGFatWgUA6NOnD5r0n0sL2BObZ9Ytjr59++Ls2bN6z1+4cAF9+/bNakzEhhQsWBCBgYEICgrC2bNnDQ7OCCGEr1y5cnB2dka7du1w7tw5WjeTEGKSqlWrQi6X44cffkBoaCgNzkiuYNYdtKtXr6Ju3bp6z9eqVQvDhg3LclAkZ2OMQaPRQKFQwN7eHrt27YJGo0GBAgWkDo0QYgN0S+gHBwfj/PnzCA4OprRoQkxkyYp3WWkrqwtVG6NbBXLnhQ9Qq1RQ/NeH9O/fH3Xq1NFWizZ1AW4+3UwPY6mZ/O3963sabFtXSF3x+wKmvw5D2y1dKVG3vawugE4pjmnMGqDJZDLB9MWYmBio1eosB0WEWSMlzJRUwa3nopGSnIh1c0egaik/LF++HACMLjxtblqboeUAsuO9EHs+U0rZS53WJ3WKodSvPycRO0dHzHwiMW0JzTcTOzeKH4PQ+YTmbAmtE/bq2UMsnhCCkJGzUKnmZ/89WwDXL8Xo7WsoVqH1zITw56oJzRsTem+EYue3ZckYsvv3wZJovhnJTueO7cPu9QswbdVvcPfKDyDzpXwIsVVmXa789NNPMXfuXM5gTK1WY+7cuahXr57FgiM5S9TbV5j5VWuc/XM3Vq9ejfDwcKlDIoTYkOsX/sKkAU3x/N+72Lx8KjQajdQhEUJshEajwa6fZmPp5AF48fgeDm9fI3VIhFiNWXfQ5s+fj08//RSlSpVC/fr1AQCnT59GbGws/vrrL4sGSHKGCxcuYMqADoh+FwlXD28c2LcbZcqUkTosQogNYIzh8I412LR8CphGg1IVamDMvE2U0kgIESUx/iNWzxiCK6cPAwDa9hyOroMmShwVIdZj1gCtbNmyuHHjBlauXInr16/DyckJISEhGDZsGLy9vS0dI5HYpk2bMGjQICQnJ6NQsTIYM38rGjWqLHVYhBAbkJqSjHXzR+PkoW0AgIZtemDguMWwd1BKHBkhts+S84wsWdadj58OzJ8awE9h1i1X/+blEyz/rgeePwqHvYMS639ex1kj0VhbxuY89agt/j3kM/aeGfoZmFqN2pLz/LKz7L6lf+/yCrPXQfP398ecOXMsGQuRgLEOYdq0aZgxYwYAoH379ti8eTPc3NxMmq+VrBY3T8MQYx2ZoblV5m6zBHOXA7AWqc+fV1lynSih48TMS+ou8CFEaN6YmLW9xB4XF5+AuSM74sGtS5DJ5eg9YhZadh0MmUymnZfFX98sc8bnywm1xV+HSGjemFxmfL6ZELFz+ITWWTOXub83YuYREpLTPL57DYvGdEZcTBS88vtizLxN6N27qdRhEWJ1Zg/QoqOjcfHiRbx580ZvHkFISEiWAyM5Q3r52u+++w7ff/89pSQRQkRTOjojoGhpvHx6HyNm/ILKtRpJHRIhxIb4+BeBi5snCgYUwdh5m+Dt4y91SIRkC7MGaL/99ht69uyJuLg4uLu7QybLuCIpk8logGbjdEtgt2vXDrdv36YKSYQQ0dJLYMtkMvQbsxAd+oyBj38QxNwFI4RYRlbS7yzRvinn1qVWqWAntwcAeHh6YuKyfRjUsgScnJwEj+XfFbfjXUc2lgpoqD1D6Y9ZJfYOvFiGUiApjdD2mDVAGzNmDPr37485c+bA2dnZ0jGRTFgjHY+fgpcv9gKGDx+Oo0ePIigoCEBG+VpLlMs3lPJnbpl7Y+0YOlbsceamKlJKIclL0qusPX1wE2MXbINcoYC9g/K/wRkhhBgW++EdfviuL2o17oQmnQYAAAr4FdYOzgjJK8zKV3v58iVGjBhBg7NchDGGw9t+RKtWrfDgwQPMnj1b6pAIITYkIT4WP0zoif2bfsC1c0dx/cJxqUMihNiQpw9u47t+jRF+9Sx2rZuDhDjDayMSkpuZdQetefPmuHz5MooVK2bpeIgEUpKT8MvC0Th9OK3K2oABA7BixQqJoyLENogpAJKVRYj5x4opCCKW0GLM5oh88Rhrp4Xg9u3bUCqVWL9+PXr27CqqMIXQItFCRTv4hIp4iHk9QmlFQm0JFT3hp1IJxZkTF5KW6pwkZ8lK1T9L46fc7d27F98PCUF8fDyCg4MxaMYWOLtmZN/oxm4spdHU1E5DC85butCXobRDYymn1q7KSXIWswZorVu3xrfffos7d+6gQoUKsLe352xv166dRYIj1vfhXSSWTgzBw9uXIFcosHTJEgwbNowzr5AQQjJz89IpLJnUH3GxH+Dv74+wsDBUr15d6rAIITZAo9Fg5syZmD59OgCgadOm2LFjB47cpc8gJG8za4A2cOBAANCWX9clk8mgVquzFhURZOn5TPfu3cPcr5rg5cuX8PLyws6dO9GkSROLnoNP7Hwwa53D3ONoLlnOZe2lEkjmTh7ahjVzRkCjVqNGjRrYt28f/P2pyhohxDjGGLp3746dO3cCAEaNGoWFCxf+V6QsWtLYCJGaWQM0fln97JScnIyaNWvi+vXruHr1KipXrixZLLYuMDAQBQsWhLu7Ow4cOIDg4GCpQyKE2JCg4HKws3NArWbt8MfeDXB0dJQ6JELIf4yl8lkyXc9Y20LpeTKZDNWqVcO+ffswYNxi1G7bC3uvfASgn7ZoStubzkRzHvPXQtRdBBsAQupm3p6h9EdzWHNB56xW5SQ5i9nroEll3Lhx8Pf3x/Xr16UOxSap1WrIZDLI5XI4Ozvjt99+g6urK9zd3aUOjZBcY8d57j9KSy5UbO58KbGMLeScXkIfAIJKVsS8jSfhVzgYv11PBJBosC2h+VliY+fPLzN3LpnYhb7FzNkSexz/9yGnsuSC6oRkRq1Sab8fO3Ys2rVrh+vRPhJGREjOY9YATSi1UdfUqVPNCsaYI0eO4M8//8SePXtw5MgRq5wjN0pPAUuIj8Wq6YPQoVkd7c/IlHQkS6SPWaOUvaXisUZqpKHzZeWc1m7TluS11yulJ/dvYtmUAfh66iqUKFcNAOAfVELiqAghtuJ42EYc3bcBbS6dhpubG2QyGUqVKoXrOaiACSE5gVkDtH379nEep6am4vHjx7Czs0Px4sWtMkB7/fo1Bg4ciLCwMCrvb4bIF/9i8bgeePXkHu7+8ze+/PJLmitCCBHt/F/7sXrmUCQnJWDrj99j6o8HqJgQIUQUlSoVm5ZOwh+7fwYA/Pzzz/jmm28kjoqQnMusAdrVq1f1nouNjUXfvn3RsWPHLAfFxxhD3759MWTIEFSrVg1PnjwRdVxycjKSk5M5MeZFty6fwvJJfRH/MRpeBfzx5+H9NDgjRATqQ9LmHO/5ZR72/LIQAFCp5mcYPuNnGpwRYoTU/YexMu2Wbj8z79+/x5yRn+P2ldMAgG5DJmPUqFEG2zI0j8zUcvR8/DlnfKbM3TIWizXngVlzzhnNZ5Oexeagubu74/vvv0fbtm3Ru3dvUcdMmDAB8+fPN7hPeHg4/vzzT3z8+BETJ040Kaa5c+fi+++/N+mY3IQxhhUrVmDB6NFQq9WoWbMm9u3bBz8/P+0+2Z0el9MqJWb3Oa1xPkrxsx4xfYgl5yqJmR8lNGfL3BiE5mzpzu1KSojDyu+/xsVTBwEAbbp/jZ5Dp2vnoBmLQcw6aEJxCc0vE7MenNDrEcPceVZij7PkHERrMvd9oLlrwvL6ZxAAuHXrFtq1a4fHjx/D0dkVw6avQfVPW9EFHkKMMFAnx3QxMTGIiRG/8vuYMWMQHh5u8KtYsWL466+/cO7cOSiVStjZ2WmrDVarVg19+vTJtP2JEydqY4qJicHz58+z/BptyfDhwzFy5Eio1WqEhITg5MmTnMEZIcSwvNyHfIyJwuSBLXDx1EHY2Tvg68krETJyluDgjBCiLy/3HwDw119/oXbt2nj8+DF8/IMwc93vqP5pK6nDIsQmmPWfdvny5ZzHjDFERERg8+bNaNmypeh2ChQogAIFCog636xZs7SPX716hebNm2PHjh2oWbNmpscplUoolUrR8eQ2VatWhVwux8KFC/HNN9/QFStCTJSX+xAXN08ULFQUsdHvMXbeRpSsUEPqkAixKTmt/8hqmpqhtDehkv5Rcb6wc3RF2ZJVMGL2Brh5eEMlcpUmfpl93cquxrJGTE15NLTd2mmihtrOznPzGTs3pTxan+gB2o0bN1C+fHnI5XIsWbKEs00ul6NAgQLo06ePyWmIYhQuXJjz2NXVFQBQvHhxFCpUyOLns2Uqleq/RR6Bfv36oXbt2ihdurTEURFCbEV6GX25XI7h01YjPi4G+XwCpA6LEGIDdJfh8C7gj6mrDiOfbyHY2dlLHBkhtkX0AK1KlSqIiIiAj0/aWhWXLl1C/vz5rRYYMd2uXbswffp0nDx5Untn0tjgjOYvEWJ5YtZBM3demtBxQvj7Cc3P0rCMq9IqVSo2LZmApISPGD59DWQyGRydXeHo7Kq3Lpnuumjpfj0brfecnHfXXux6YELz7Lbx5ssKLWRr7lwvsfPZzG3fmuviiSVmPqC5aL4ZAYB3r19g0bjeaNdrOGo07gwAKFioqMRREWKbRA/QPD090/KIfXzw7NkzMGbmbGwLKFKkiKTnz2k0Gg2mTZumTQNdsmQJ5syZI3FUhBBbERv9Hssn98Wdf/4HmUyGFl2+RMny1aUOixBihClph9ZMS7t34wIWjw9BzIe32Prj95j/bS+D6Z3GYuOnQgpdkEnHr/iov69p0zt0Y9EvpJa1tEPd/U2t+ChlWiGlNGY/0QO0zp07o0GDBtoiE9WqVYNCoRDc999//7VMdMSojx8/onfv3ti/fz8AYOzYsZg5c6bEURFCbMWzR7exeFwPvI14BidnN4yY8RMNzgghov3yyy/4/ushUKtSUTi4HMYt3Jqj5t4RYotED9B++ukndOrUCQ8fPsSIESMwcOBAuLm5WTM2YsS///6L9u3b49atW3BwcMC6desQEhIidVhmy+6S/4TkdZdOHcKqGYORnBiPggFFMWbBVhQpXkrqsAghNkClUmHs2LFYtmwZAKBmo7b4euoqODq5SBwZIbbPpCqOLVq0AABcuXIFI0eOpAGahK5cuYLmzZvj/fv38PX1xb59+1CrVi2pwyKE2IjD21dj07JJAIBy1Rpg5KxQuLp7AaD0cUKsae/lD3B2UQMwnjqWlYWQTU1LM+VcqampaNWqFY4ePQoA6DJwAjr1Gwu5PC2/0NgFV/68Vv65Q+qKj93YwtPG8F+nbuxCazIaOtaUc1k6BZUqLeYuZpXZDw0NtXQcxETFihWDt7c3ihYtirCwMAQEUJU1QrLLPp0PWEL4RS7EFvYwl5giF/yYipasAIXCDk0790fv4enrmzGji1dnpmcdT6NxCRWTECocIqbohNBxQs/xC3II7SNUlERMYRexxTGE2s9uVMiDWJK9vT0qV66Ms2fPYtOmTVAFNJI6JEJyFVpx1IaoVCooFArIZDJ4eXnh6NGj8PHxgZOTk9ShEUJsgG4J7HJV62HBlv8hoEhJiaMihNgK3aV85s6di4EDB6JEiRLZukYXIXmBgbo4JCd5+/YtmjRpgtWrV2ufCwoKylWDsx61PTlfhBDLuXvtPL7pVgsvHt/TPkeDM0KIGIwxzJ8/H40aNUJycjIAQKFQoESJEhJHRkjuRHfQbMCNGzfQrl07PH36FDdv3kTPnj3h4eEhdViEEBvx14HNWL9wLNSqVOz4aQ7GzN0odUiEEBGycx4R/1zpd8VSkhKxZs5InPlzd9rzO3eid+/eBkvG8+nfYePm/calcO8XWHP5AGPH66Z0W7ptsdtMbUvMdmJbaICWw+3duxchISGIj49HcHAwDhw4QIMzQiTWsZoX3N3dAYib9yR2UWpzCbW168IHqFUqbFo+GUd2/gQAqPVZewyZvFI7z0xobpTQHDT+hH6hffgLSWfWPp/QXC8x88R0F9lOJ2auXFYWiTZ3bpwlfx/EzIOz9u8byTui3rzCwvG98W/4VSgUCqxYsQK9e/eWOixCcj0aoOVQGo0GM2fOxPTp0wEATZo0wY4dO+Dt7S1tYP+xpZL4urHm5Dj5bDVukjPExXzAksn9cfPSKQBA10HfoWPfMZDJckDFCkJIjvfg1mUsnhCCD+8i4ebhjf37dqNRIyoGQkh2oAFaDsQYQ/fu3bFz504AwMiRI7Fo0SLtxFxCCDHk+fPnmDigCV6/eAylkwuGT1uNag3aSB0WIQRAJ5078MZYsnS6KW3t27cPM4d2R3JyMsqXL4/9+/ejWLFiZp+bz9SLjoaKkGw6E815zC+7b+p7yM8YMIUl0wwpZTFvoyIhOZBMJkO1atVgb2+P9evXY+nSpTQ4I4SI5uvri/w+ASjgVxiz1/2BGg1pcEYIEa9cuXJwcnJChw4dcPbsWYsOzgghxtGn/hxEt3zt2LFj0a5dO5QqVUriqAghhoiZ0yQ0Z0vs2mhi5g79ejYajDEwjQZyhQIAMHzWBgCAu2c+qDRAd4Er1mLXBJPLuC9A7Hpm5s73EnOc2HlWYt5nS87PEhN7Vs4n5liab0bMofsZpGTJkrhw4QKCg4O1i08TQrIPDdByiHXr1mH16tU4deoU3NzcIJPJcvTgLDvmRJkyBys3ztfKLa+DWF9KciLWzR0Od88C6D1qLoC0gRkhJG8xpbKirnv37qFJy/boM2oOKtZs9N/xhpfhMNS+JVMzs3p8ZtUpM9ueXf97Lf0ekdyFLotILDU1FcOHD8egQYNw9epVrFu3TuqQCCE25P2bl5j5VSucO7oHx/b+jFdPH0gdEiHEhvzxxx+oWbMmXjy+hy0rp0Gj0UgdEiF5Hg3QJPT+/Xu0aNECK1euBADMmjUL33zzjcRREUJsxf1blzCxXxM8vncNrh7emLAsDP5BtHAsIcQ4xhh++OEHtGrVCjExMShVsSa+W7qbUhoJyQEoxVEit27dQvv27fHvv//C1dUVW7ZsQfv27aUOy+oMlefPSul+Q/tSqiCRmti5WELzpTKbQ3Xy0Db8NO8bqFJTULh4WYxd8Ct8/IMApM0XE7MGmZh9xDK38pnQ+mlC8+XMXf+LH5eYtdIyIyYGSx5HSFYYSqFLSkpCv379sHFj2qL1AwYMwI8//gilUmmRc5u+cLX44/lVGx3tuH/T1kwVtGRaIqU0CqPUzzQ0QJPAiRMn0K5dO8TFxaFo0aI4cOAAypcvL3VYhBAbsX3tbOwNXQwAqNGgDb6eugqOzq4SR0UIsQVxcXFo2rQpzp8/D4VCgSVLlmDYsGG0RiIhOQgN0CRQqlQpuLm5oXr16ti1axfy5aPJ/IQQ8YqVrgyZTIbO/cfi8wHjARmlJBFCxHFxcUGZMmVw79497Ny5E02aNJE6JEIIDw3Qsolu+Vp/f3+cPn0ahQsXhr29vcSRZS9TUhFzY2VGQsylVqmg+K8PqdGgNX7Ydg4BRdKqrAmV8SeEEF3pn0NkMhlWr16NKVOmoGjRolKHRQgRQAO0bPD8+XN06NAB48aNwxdffAEAKF68uMRREUJsxdWzR7Fh6SRMWb4X+X0LAYB2cEYIyb1MnX8jtL9arcbkyZMxf8w/+HbBr9q1EgFPXHqTeVn+rMwF4s8p58/9zMq8opC6ngbPZWx+G39eqimvM6vzocxdBoF/rCViyaly6+syFQ3QrOzs2bPo1KkTXr9+jXHjxqFDhw4Wm4RLCJGeNRdCZozh+ZlQzB83DhqNBteP/IjG/ebq7WfugtBi4xJahJqvZx1Pved+PRvNeeyg0L/VJ1SoRKhwiJ2ZWZz8giNiFwgXYu7PkX+c2EW2Ccmq2NhY9OzZEwcPHgQA3Lh4ApVrU0ojITkdTVywotDQUDRq1AivX79GxYoVcerUKRqcEUJESUlOwo8zh2Ls2LHQaDT48ssvsXz5cqnDIoTYiIcPH6JWrVo4ePAgHB0dMWLGOhqcEWIj6A6aFahUKnz77bdYunQpAKBz587YsGEDXF1tu8qateeEZaXMviXOSfPcSE4R9TYCiyeE4MHtK1AoFFi6dCmGDh36X5W1eKnDI4RYiaXS2I4dO4auXbviw4cPCAgIQFhYGKpVq2ZSG1lJNeP/P+W/rqyU2ecfa+rddUv+r8/OtENK/ctbaIBmYampqWjTpg3+/PNPAMD06dMxZcoUWviRECLKyyf3MWN4R3x4GwEXd0/s37sbjRs3ljosQoiNCA0NxcCBA6FWq1GzZk3s27cPfn5+UodFCDEBDdAszN7eHpUrV8b//vc/bNq0CZ07d5Y6JEKIxMTOe+pS0wvx5ctj03xf+BXwwoEDB3DxTT7OnKzutc1boFlo8WfhuV7688Q0zPj6SEIxOCi4j4XmWYmNQcz5xCxeLXaBazFzwsw9Litz//hz9mjuGuGrVKkSHBwc0LVrV6xZswaOjo5Sh0QIMREN0CxEt4z+nDlz8OWXX6JEiRISR2VZlkgLMJTGKEWKIaU1kpxAo1ZD9t9ddhcXFxw8eBCurq5wd3fHxTfR0gZHCMk25qax6X4G+eSTT3D16lWULFkyS4tPG5t2oJvex78gZMmqjaYydi5j6ZWmtG2JKpuECKG8uyxijGHBggVo1KgRkpOTAQAKhSLXDc4IIdaREBeL+d/2wN7Qxdrn/P394e7uLmFUhBBbcfXqVZQrVw6XLl3SPleqVKksDc4IIdKiAVoWJCYmonfv3hg/fjz+97//YefOnVKHRAixIRHPHmHSgKa4evYowjYtRUREhNQhEUJsyK5du1C3bl3cv38f48ePlzocQoiFUIqjmV6+fImOHTvi0qVLUCgUWLFiBXr37i11WISQHEDDm0IltE7Z0aNHMWhQV0RHRyMgIAD79+8XnMgvl3EbE5r3xD8foJ9iJHScUPUza85pEopBaE6duW0Jzdniv/eWXIPM2vO/zF3fToiYuXjEdmg0GkyfPh0zZ84EALRo0QLbtm3j7GNqhUH+/j1M+NvMzukCxhbUNvV4vqwsJk2IpdAAzQwXLlxAx44dERERAW9vb+zevRuNGjWSOiybQHO+SF7HGMPy5csxevRoaDQa1KpVC/v27YOvr6/UoRFCbMDHjx8REhKCsLAwAMDYsWMxb948KBQKwwcSQmwGDdBMFBYWhm7duiE5ORnly5fH/v37UaxYManDIoTYiKFDh2L16tUAgL59+2LNmjW0gD0hRJR3796hUaNGuHXrFhwcHLBu3TqEhIRIHRYhxMJogGaicuXKwcnJCS1atMDmzZvh5uYmdUiEEBtSrVo1yOVyLFq0CKNGjaKJ/IQQ0by9vVG8eHG8e/cO+/btQ61ataQOiRBiBTRAE0G3fG2JEiVw4cIFBAcH0+LThBBRdPuQ/v37o06dOihdurTEURFCbEV6HyKXy7F582bExsYiICDA4DyznFQC3tT5cKawdNymtGfsdZnyuq35HhHbQwM0I+7fv49OnTrhhx9+QLNmzQAAJUuWlDgqQkhOYWzh47NH92LGgB9w6tQp5M+fHwAyHZwJFbCwZKEIc/GLb1gyJjGFPcQSc5zYharFHmsrbDn2vCwlJQUjR45EfHw8Nm7cCJlMBjc3N8reISSXo1tABvzxxx+oUaMGbt++jW+//RYajUbqkAghNkKj0WD7mtlYOuVL3LlzB0uXLpU6JEKIDXn79i2aNWuGNWvWYMuWLZx1zgghuRvdQRPAGMPSpUsxduxYaDQa1KlTB3v37qWURkKIKInxH7Hi+69w+e/DAIBx48bh+++/lzgqQkhOl57m9vTBbSwc1xNvI57Bzc0N27ZtQ40aNfT2lzINzpRzSxmnsTL81kw7tJX3iOQ8NEDjSU5OxpAhQ7BhwwYAafNFVq1aRVXWCCGi/Pvvv5g8sDWe/3sX9g5KDJ64DPOnD5Y6LEKIjbhw4jf8OONrJCfGIzg4GAcOHECZMmWkDosQko1ogKYjPj4eTZo0wfnz5yGXy7FkyRIMHz6cqqwRQkS5fPkymjdvjqioKPj5+SEsLEzwqndmrDlPSGiul1ygaxNa9FpoPz6h2C05d81SCy1vOxet95y5i2ULEbMQtiUXyya5y8GtP2Lz8ikAgArVG+Dk73vh7e0tcVSEkOxGAzQdzs7OKFu2LO7du4cdO3agadOmUodECLEhxYoV05bBDgsLg7+/v9QhEUJsSL8OdbH1RwWGDRuGRYsWaau/WkNeqRqYlddlrCojIdZCAzRklK+VyWRYtWoVJk+ejKJFi0odFiHEBuiW0Pf29saxY8fg4+MDJycniSMjhNgC3T4kfRFqWoaDkLwtT1e90Gg0+O6779C+fXuo1WoAgFKppMEZIUSUt2/f4rPPPsPq1au1zwUFBdHgjBAiyunTp1GmTBncvXtX+xwNzgghMsaYwIyDnOnQoUOYMWMGbty4AUdHRzRo0ABhYWGij4+NjYWHhwdiYmIAAL169cJvv/0GADh8+DBatmxpjbAJIbmEbh/y+PFjtG/fHk+fPoWrhzeW7r4KZxd3AED32p5G27LkPCRz27L2+l/mzkETM1/OknO2xL4P/Pl5OWGNOmI7dPsPd3d3rFu3Dl99PRRqVSpqNW6Pb2aH5to0Q2O28uaG9hDRhxKSm9lMiuOePXswcOBAzJkzB5999hlUKhVu3bplVluPHj1Cr169cOfOHTg6OmL9+vU0OCOEiLZ//34MGTIECQkJ8A0sjjHzt2oHZ4QQYkhqaiqGDx+OlStXAgBqN+6Ar6aslDgqQkhOYhMDNJVKhZEjR2LhwoUYMGCA9vmyZcua1d5nn32G6Oho+Pv7IywsDNWrV7dUqISQPCAkJAQA0LRpU3QZ8xNc3T2lDYgQYjM6duyI06dPAwC+GDwJHfuOpmrRhBAOm5iD9s8//+Dly5eQy+WoUqUK/Pz80LJlS7PvoEVHR6NmzZq4fPkyDc4IIWb55ptvcPjwYRqcEUJMcvr0abi6uiIsLAyd+o2hwRkhRI9NzEHbvn07unfvjsKFC+OHH35AkSJFsHjxYvz555+4f/9+pmuEJCcnIzk5Wfs4JiYGhQsXRqdOnbB69Wo4Ojpm10sghEjIzc3NrA9BmfUhixYtwsCBAzM9bt9l7pymjtXEzSvhH2fKsdnZtti2xLwPOy5E6z33RU1Ps+ISYu7PgpB0lu4/AgMDsWPHDpQrV07vmL2839dO9PtKRKLfnZzLrD6ESWj8+PEMgMGv8PBw9uuvvzIAbO3atdpjk5KSWP78+dmaNWsybX/atGlG26cv+qKv3P/15s0bs/oo6kPoi77oi/oP+qIv+srKlzl9iKR30N6+fYv3798b3KdYsWI4c+YMPvvsM5w+fRr16tXTbqtZsyaaNGmC2bNnCx7Lv3oVHR2NoKAgPHv2DB4eHpZ5ETYiNjYWgYGBeP78Odzd81Yxg7z82oG8/frTX3t0dLRZf/PUh2Sg3yN67Xn1tVP/YRn0u0SvPa++dnP6EEmLhBQoUAAFChQwul/VqlWhVCpx79497QAtNTUVT548QVBQUKbHKZVKKJVKvec9PDzy3C9JOnd3d3rteVRefv3mzvGgPkRfXv49oteeN1879R+WlZd/l+i1583Xbk4fYhNVHN3d3TFkyBBMmzYNgYGBCAoKwsKFCwEAXbp0kTg6QgghhBBCCLEMmxigAcDChQthZ2eH3r17IzExETVr1sRff/0FLy+aBEkIIYQQQgjJHWxmgGZvb49FixZh0aJFZrehVCoxbdo0wZSD3I5ee9587UDefv2Wfu30XtJrz2votVP/YSl5+fXTa6fXbiqbKLNPCCGEEEIIIXmBTSxUTQghhBBCCCF5AQ3QCCGEEEIIISSHoAEaIYQQQgghhOQQeXqAdujQIdSsWRNOTk7w8vJChw4dpA4pWyUnJ6Ny5cqQyWS4du2a1OFkiydPnmDAgAEoWrQonJycULx4cUybNg0pKSlSh2YVP/74I4oUKQJHR0fUrFkTFy9elDokq5s7dy6qV68ONzc3+Pj4oEOHDrh3755VzkV9SN7qQ/Ja/wFQH0J9iHVRH5K7+5C82H8AlulD8uwAbc+ePejduzf69euH69ev48yZM+jRo4fUYWWrcePGwd/fX+owstXdu3eh0Wiwdu1a3L59G0uWLMGaNWvw3XffSR2axe3YsQOjR4/GtGnT8M8//6BSpUpo3rw53rx5I3VoVnXq1CkMHToU58+fx9GjR5GamopmzZohPj7eouehPiTv9SF5qf8AqA+hPsT6qA/JvX1IXu0/AAv1ISwPSk1NZQEBAeznn3+WOhTJHD58mJUuXZrdvn2bAWBXr16VOiTJLFiwgBUtWlTqMCyuRo0abOjQodrHarWa+fv7s7lz50oYVfZ78+YNA8BOnTplsTapD6E+JF1u7T8Yoz4kHfUh1kF9SJrc2odQ/5HBnD4kT95B++eff/Dy5UvI5XJUqVIFfn5+aNmyJW7duiV1aNni9evXGDhwIDZv3gxnZ2epw5FcTEwMvL29pQ7DolJSUnDlyhU0adJE+5xcLkeTJk1w7tw5CSPLfjExMQBg0Z8x9SHUh6TLjf0HQH2ILupDLI/6kAy5sQ+h/oPLnD4kTw7Q/v33XwDA9OnTMXnyZBw8eBBeXl5o2LAhoqKiJI7Ouhhj6Nu3L4YMGYJq1apJHY7kHj58iBUrVmDw4MFSh2JR7969g1qtRsGCBTnPFyxYEJGRkRJFlf00Gg1GjRqFunXronz58hZrl/oQ6kOA3Nt/ANSHpKM+xPKoD8mQW/sQ6j8ymNuH5KoB2oQJEyCTyQx+pef/AsCkSZPQuXNnVK1aFaGhoZDJZNi1a5fEr8I8Yl/7ihUr8PHjR0ycOFHqkC1K7OvX9fLlS7Ro0QJdunTBwIEDJYqcWNPQoUNx69YtbN++XdT+1IfkzT6E+g+SGepDxKM+hPoQos/UPiSdnZXikcSYMWPQt29fg/sUK1YMERERAICyZctqn1cqlShWrBiePXtmzRCtRuxr/+uvv3Du3DkolUrOtmrVqqFnz57YuHGjFaO0HrGvP92rV6/QqFEj1KlTBz/99JOVo8t++fPnh0KhwOvXrznPv379Gr6+vhJFlb2GDRuGgwcP4u+//0ahQoVEHUN9SF+D++TWPoT6D33Uh1AfYirqQ/oa3Ccv9SHUf6Qxpw/RstaEuJwsJiaGKZVKzuTclJQU5uPjw9auXSthZNb39OlTdvPmTe3XH3/8wQCw3bt3s+fPn0sdXrZ48eIFK1GiBOvWrRtTqVRSh2M1NWrUYMOGDdM+VqvVLCAgINdP0NVoNGzo0KHM39+f3b9/3yrnoD4k7/YheaX/YIz6EOpDrIP6kLzRh+TV/oMxy/QheXKAxhhjI0eOZAEBAeyPP/5gd+/eZQMGDGA+Pj4sKipK6tCy1ePHj/NU9aQXL16w4OBg1rhxY/bixQsWERGh/cpttm/fzpRKJduwYQO7c+cOGzRoEPP09GSRkZFSh2ZVX331FfPw8GAnT57k/HwTEhIseh7qQ9LkpT4kL/UfjFEfQn1I9qA+JHf2IXm1/2DMMn1Inh2gpaSksDFjxjAfHx/m5ubGmjRpwm7duiV1WNkuL3WMjDEWGhrKAAh+5UYrVqxghQsXZg4ODqxGjRrs/PnzUodkdZn9fENDQy16HupD0uSlPiSv9R+MUR9CfYj1UR+Se/uQvNh/MGaZPkT2X0OEEEIIIYQQQiSWq6o4EkIIIYQQQogtowEaIYQQQgghhOQQNEAjhBBCCCGEkByCBmiEEEIIIYQQkkPQAI0QQgghhBBCcggaoBFCCCGEEEJIDkEDNEIIIYQQQgjJIWiARgghhBBCCCE5BA3Q8jjGGAYNGgRvb2/IZDJcu3ZN6pAIITaC+g9CSFZQH0KIMBqg5XG///47NmzYgIMHDyIiIgLly5eXOiQiQkREBHr06IGSJUtCLpdj1KhRUodE8iDqP2wT9R8kp6A+xDZRH2J9NEDL4x49egQ/Pz/UqVMHvr6+sLOzkzqkbKNWq6HRaHJ8m0KSk5NRoEABTJ48GZUqVbL6+QgRQv0H9R+EZAX1IdSHEGE0QMvD+vbti+HDh+PZs2eQyWQoUqQIihQpgqVLl3L2q1y5MqZPn659LJPJ8PPPP6Njx45wdnZGiRIlcODAAc4xt2/fRps2beDu7g43NzfUr18fjx49MhrTyZMnUaNGDbi4uMDT0xN169bF06dPtdt/++03VK9eHY6OjsifPz86duyo3fbhwweEhITAy8sLzs7OaNmyJR48eKDdvmHDBnh6euLAgQMoW7YslEolnj17huTkZIwdOxYBAQFwcXFBzZo1cfLkSVHvobltph8XFhaGEiVKwNHREc2bN8fz589FnbdIkSJYtmwZQkJC4OHhIeoYQiyJ+g/qPwjJCupDqA8hmaMBWh62bNkyzJgxA4UKFUJERAQuXbok+tjvv/8eXbt2xY0bN9CqVSv07NkTUVFRAICXL1/i008/hVKpxF9//YUrV66gf//+UKlUBttUqVTo0KEDGjRogBs3buDcuXMYNGgQZDIZAODQoUPo2LEjWrVqhatXr+L48eOoUaOG9vi+ffvi8uXLOHDgAM6dOwfGGFq1aoXU1FTtPgkJCZg/fz5+/vln3L59Gz4+Phg2bBjOnTuH7du348aNG+jSpQtatGjB6VgNMbfNhIQEzJ49G5s2bcKZM2cQHR2Nbt26if4ZECIl6j+o/yAkK6gPoT6EGMBInrZkyRIWFBSkfRwUFMSWLFnC2adSpUps2rRp2scA2OTJk7WP4+LiGAB25MgRxhhjEydOZEWLFmUpKSkmxfL+/XsGgJ08eVJwe+3atVnPnj0Ft92/f58BYGfOnNE+9+7dO+bk5MR27tzJGGMsNDSUAWDXrl3T7vP06VOmUCjYy5cvOe01btyYTZw40WjM5raZftz58+e128PDwxkAduHCBaPn1dWgQQM2cuRIk44hxBKo/6D+g5CsoD6E+hAiLO8k+xKLqlixovZ7FxcXuLu7482bNwCAa9euoX79+rC3tzepTW9vb/Tt2xfNmzdH06ZN0aRJE3Tt2hV+fn7adgcOHCh4bHh4OOzs7FCzZk3tc/ny5UOpUqUQHh6ufc7BwYET+82bN6FWq1GyZElOe8nJyciXL5+ouM1t087ODtWrV9c+Ll26NDw9PREeHs65KkdIbkP9RwbqPwgxHfUhGagPyZ1ogEY45HI5GGOc53Rvz6fjd3wymUw7MdXJycns84eGhmLEiBH4/fffsWPHDkyePBlHjx5FrVq1stRuOicnJ226AgDExcVBoVDgypUrUCgUnH1dXV0la5MQW0T9RwbqPwgxHfUhGagPydtoDhrhKFCgACIiIrSPY2Nj8fjxY5PaqFixIk6fPi3YqYpRpUoVTJw4EWfPnkX58uWxdetWbbvHjx8XPKZMmTJQqVS4cOGC9rn379/j3r17KFu2rMFzqdVqvHnzBsHBwZwvX19fs+MX06ZKpcLly5e1j+/du4fo6GiUKVPGrPMSIjXqP6j/ICQrqA+hPoSkoQEa4fjss8+wefNmnD59Gjdv3kSfPn30rsAYM2zYMMTGxqJbt264fPkyHjx4gM2bN+PevXsGj3v8+DEmTpyIc+fO4enTp/jzzz/x4MEDbWcxbdo0bNu2DdOmTUN4eDhu3ryJ+fPnAwBKlCiB9u3bY+DAgfjf//6H69evo1evXggICED79u0zPWfJkiXRs2dPhISEYO/evXj8+DEuXryIuXPn4tChQya9blPbtLe3x/Dhw3HhwgVcuXIFffv2Ra1atUSnFly7dg3Xrl1DXFwc3r59i2vXruHOnTtmxUyIJVD/Qf0HIVlBfQj1IeQ/Es+BIxLjT9CNiYlhX3zxBXN3d2eBgYFsw4YNghN09+3bx2nHw8ODhYaGah9fv36dNWvWjDk7OzM3NzdWv3599ujRI4OxREZGsg4dOjA/Pz/m4ODAgoKC2NSpU5lardbus2fPHla5cmXm4ODA8ufPzzp16qTdFhUVxXr37s08PDyYk5MTa968Obt//752e2hoKPPw8NA7b0pKCps6dSorUqQIs7e3Z35+fqxjx47sxo0bht+8LLSZftyePXtYsWLFmFKpZE2aNGFPnz41es50APS+dH+WhFgb9R/UfxCSFdSHUB9ChMkY4yX7EkKsbsOGDRg1ahSio6OlDoUQYmOo/yCEZAX1ITkfpTgSQgghhBBCSA5BAzSSrVxdXTP9On36tNTh6WnZsmWm8c6ZM8dq5y1Xrlym5/3111+tdt7/t3OHNhTDMBQAs0CISUD23yokoDOE/gVSKaD9NbijBmZPepJlyEx+nJEfsCdDzsiQ7zlx5K/GGLez3vsjb2yfdF1XWWttZxFRIuKVvXPO2w9UrbVSa31lL2QmP87ID9iTIWdkyPcUNAAAgCScOAIAACShoAEAACShoAEAACShoAEAACShoAEAACShoAEAACShoAEAACShoAEAACTxAwEZGVdldOfPAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 900x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "tmp = func_scores_collapsed_df.pivot(index=[\"aa_substitutions\", \"condition\"], columns=\"replicate\", values=\"func_score\").reset_index()\n",
-    "tmp.rename(columns={1: \"func_score_rep_1\", 2: \"func_score_rep_2\"}, inplace=True)\n",
-    "tmp.dropna(inplace=True)\n",
-    "g = sns.displot(data=tmp, col=\"condition\", x=\"func_score_rep_1\", y=\"func_score_rep_2\", height=3, \n",
-    "                kind=\"hist\", common_norm=False, common_bins=False)\n",
-    "for d, ax in zip(g.col_names, g.axes.flat):\n",
-    "    ax.plot([-6, 2], [-6, 2], \"k--\")\n",
-    "    ax.set_xlim(-6, 2)\n",
-    "    ax.set_ylim(-6, 2)\n",
-    "    ax.annotate(f\"Pearson r = {scipy.stats.pearsonr(tmp.query('condition == @d').func_score_rep_1, tmp.query('condition == @d').func_score_rep_2).statistic:.2f}\", (0.02, 0.95), xycoords=\"axes fraction\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Distribution of number of barcodes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(8, 3))\n",
-    "sns.countplot(x=func_scores_collapsed_df.barcodes, native_scale=True)\n",
-    "plt.xscale(\"log\")\n",
-    "# plt.yscale(\"log\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Distribution of number of mutations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(8, 3))\n",
-    "sns.countplot(x=func_scores_collapsed_df.n_subs)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Number of variants in each condition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='condition', ylabel='count'>"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(4, 3))\n",
-    "sns.countplot(data=func_scores_collapsed_df, x=\"condition\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Add a weight, which can be used in fitting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pre_count</th>\n",
-       "      <th>post_count</th>\n",
-       "      <th>aa_substitutions</th>\n",
-       "      <th>condition</th>\n",
-       "      <th>replicate</th>\n",
-       "      <th>n_subs</th>\n",
-       "      <th>barcodes</th>\n",
-       "      <th>func_score</th>\n",
-       "      <th>weight</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5027212</td>\n",
-       "      <td>4967837</td>\n",
-       "      <td></td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10176</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5955236</td>\n",
-       "      <td>3000775</td>\n",
-       "      <td></td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8516</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13479201</td>\n",
-       "      <td>16707349</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>24216</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>15250884</td>\n",
-       "      <td>19953602</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>22495</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>15195250</td>\n",
-       "      <td>12396402</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>21020</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>18959708</td>\n",
-       "      <td>24113895</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19832</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>978</td>\n",
-       "      <td>291</td>\n",
-       "      <td>A1015D</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-1.731675</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>853</td>\n",
-       "      <td>156</td>\n",
-       "      <td>A1015D</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-1.462176</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>644</td>\n",
-       "      <td>24</td>\n",
-       "      <td>A1015D</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-4.452255</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>796</td>\n",
-       "      <td>268</td>\n",
-       "      <td>A1015D E1188Q</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-1.553395</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    pre_count  post_count aa_substitutions    condition  replicate  n_subs  \\\n",
-       "0     5027212     4967837                         Delta          1       0   \n",
-       "1     5955236     3000775                         Delta          2       0   \n",
-       "2    13479201    16707349                   Omicron_BA1          1       0   \n",
-       "3    15250884    19953602                   Omicron_BA1          2       0   \n",
-       "4    15195250    12396402                   Omicron_BA2          1       0   \n",
-       "5    18959708    24113895                   Omicron_BA2          2       0   \n",
-       "6         978         291           A1015D        Delta          1       1   \n",
-       "7         853         156           A1015D        Delta          2       1   \n",
-       "9         644          24           A1015D  Omicron_BA2          1       1   \n",
-       "10        796         268    A1015D E1188Q        Delta          1       2   \n",
-       "\n",
-       "    barcodes  func_score  weight  \n",
-       "0      10176    0.000000     1.0  \n",
-       "1       8516    0.000000     1.0  \n",
-       "2      24216    0.000000     1.0  \n",
-       "3      22495    0.000000     1.0  \n",
-       "4      21020    0.000000     1.0  \n",
-       "5      19832    0.000000     1.0  \n",
-       "6          2   -1.731675     1.0  \n",
-       "7          2   -1.462176     1.0  \n",
-       "9          2   -4.452255     1.0  \n",
-       "10         2   -1.553395     1.0  "
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "if weighted_by_variant_support:\n",
-    "    func_scores_collapsed_df['weight'] = np.sqrt(func_scores_collapsed_df['barcodes'])\n",
-    "else:\n",
-    "    func_scores_collapsed_df['weight'] = 1.0\n",
-    "\n",
-    "func_scores_collapsed_df.head(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Isolate a single replicate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pre_count</th>\n",
-       "      <th>post_count</th>\n",
-       "      <th>aa_substitutions</th>\n",
-       "      <th>condition</th>\n",
-       "      <th>replicate</th>\n",
-       "      <th>n_subs</th>\n",
-       "      <th>barcodes</th>\n",
-       "      <th>func_score</th>\n",
-       "      <th>weight</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5955236</td>\n",
-       "      <td>3000775</td>\n",
-       "      <td></td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8516</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>15250884</td>\n",
-       "      <td>19953602</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>22495</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>18959708</td>\n",
-       "      <td>24113895</td>\n",
-       "      <td></td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19832</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>853</td>\n",
-       "      <td>156</td>\n",
-       "      <td>A1015D</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-1.462176</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>3757</td>\n",
-       "      <td>2030</td>\n",
-       "      <td>A1015S</td>\n",
-       "      <td>Delta</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0.100722</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335513</th>\n",
-       "      <td>633</td>\n",
-       "      <td>8</td>\n",
-       "      <td>Y91V E132Q Q675L A845E G1167D</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-6.693818</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335514</th>\n",
-       "      <td>497</td>\n",
-       "      <td>7</td>\n",
-       "      <td>Y91V H505N I1216T</td>\n",
-       "      <td>Omicron_BA1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-6.537503</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335517</th>\n",
-       "      <td>310</td>\n",
-       "      <td>26</td>\n",
-       "      <td>Y91V S112N M177K L335P N405A C671R K679R T859A...</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>9</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.922613</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335519</th>\n",
-       "      <td>499</td>\n",
-       "      <td>71</td>\n",
-       "      <td>Y91V S98Y D138* Y144V N280D N405P P463S S982R ...</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>9</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.160077</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335521</th>\n",
-       "      <td>888</td>\n",
-       "      <td>71</td>\n",
-       "      <td>Y91V T883I</td>\n",
-       "      <td>Omicron_BA2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-3.991597</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>142673 rows × 9 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        pre_count  post_count  \\\n",
-       "1         5955236     3000775   \n",
-       "3        15250884    19953602   \n",
-       "5        18959708    24113895   \n",
-       "7             853         156   \n",
-       "14           3757        2030   \n",
-       "...           ...         ...   \n",
-       "335513        633           8   \n",
-       "335514        497           7   \n",
-       "335517        310          26   \n",
-       "335519        499          71   \n",
-       "335521        888          71   \n",
-       "\n",
-       "                                         aa_substitutions    condition  \\\n",
-       "1                                                                Delta   \n",
-       "3                                                          Omicron_BA1   \n",
-       "5                                                          Omicron_BA2   \n",
-       "7                                                  A1015D        Delta   \n",
-       "14                                                 A1015S        Delta   \n",
-       "...                                                   ...          ...   \n",
-       "335513                      Y91V E132Q Q675L A845E G1167D  Omicron_BA1   \n",
-       "335514                                  Y91V H505N I1216T  Omicron_BA1   \n",
-       "335517  Y91V S112N M177K L335P N405A C671R K679R T859A...  Omicron_BA2   \n",
-       "335519  Y91V S98Y D138* Y144V N280D N405P P463S S982R ...  Omicron_BA2   \n",
-       "335521                                         Y91V T883I  Omicron_BA2   \n",
-       "\n",
-       "        replicate  n_subs  barcodes  func_score  weight  \n",
-       "1               2       0      8516    0.000000     1.0  \n",
-       "3               2       0     22495    0.000000     1.0  \n",
-       "5               2       0     19832    0.000000     1.0  \n",
-       "7               2       1         2   -1.462176     1.0  \n",
-       "14              2       1         6    0.100722     1.0  \n",
-       "...           ...     ...       ...         ...     ...  \n",
-       "335513          2       5         1   -6.693818     1.0  \n",
-       "335514          2       3         1   -6.537503     1.0  \n",
-       "335517          2       9         2   -3.922613     1.0  \n",
-       "335519          2       9         2   -3.160077     1.0  \n",
-       "335521          2       2         2   -3.991597     1.0  \n",
-       "\n",
-       "[142673 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "func_scores_collapsed_df.query(f\"replicate == {data_replicate}\", inplace=True)\n",
-    "func_scores_collapsed_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# clip functional scores with a floor of -3.5\n",
-    "func_scores_collapsed_df[\"func_score\"] = func_scores_collapsed_df.func_score.clip(-3.5, 2.5)\n",
-    "# func_scores_collapsed_df.query(\"func_score >= -3.5 & func_score <= 2.5\", inplace=True)\n",
-    "# func_scores_collapsed_df.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Define the multidms data object"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n",
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n",
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n",
-      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "Data(rep-2)"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data = multidms.Data(\n",
-    "        # func_scores_df,\n",
-    "        func_scores_collapsed_df,\n",
-    "        # collapse_identical_variants=\"mean\",\n",
-    "        alphabet=multidms.AAS_WITHSTOP_WITHGAP,\n",
-    "        reference=\"Omicron_BA1\",\n",
-    "        # reference=\"Omicron_BA2\",\n",
-    "        # reference=\"Delta\",\n",
-    "        assert_site_integrity=False,\n",
-    "        verbose=False,\n",
-    "        name=f\"rep-{data_replicate}\" \n",
-    "    )\n",
-    "data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'X': {'Delta': BCOO(int8[26743, 10722], nse=869823),\n",
-       "  'Omicron_BA1': BCOO(int8[53209, 10722], nse=137253),\n",
-       "  'Omicron_BA2': BCOO(int8[51122, 10722], nse=853243)},\n",
-       " 'y': {'Delta': Array([ 0.        , -1.46217618,  0.10072214, ..., -0.95950872,\n",
-       "         -3.0166309 , -3.39281081], dtype=float64),\n",
-       "  'Omicron_BA1': Array([ 0.        , -0.1441993 ,  0.15470144, ..., -3.5       ,\n",
-       "         -3.5       , -3.5       ], dtype=float64),\n",
-       "  'Omicron_BA2': Array([ 0.        , -0.04110356, -0.62651354, ..., -3.3366282 ,\n",
-       "         -3.5       , -3.5       ], dtype=float64)},\n",
-       " 'w': {'Delta': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
-       "  'Omicron_BA1': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
-       "  'Omicron_BA2': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64)}}"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.training_data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Plot the distribution of row-sums of $X$, and the distribution of $y$"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(8, 3))\n",
-    "for d in data.conditions:\n",
-    "    Xd = data.training_data[\"X\"][d]\n",
-    "    yd = data.training_data[\"y\"][d]\n",
-    "    plt.subplot(121)\n",
-    "    sns.histplot(Xd.sum(1).todense(), bins=np.linspace(0, 50, 50), label=d, element=\"step\", alpha=0.1)\n",
-    "    plt.legend()\n",
-    "    plt.xlabel(\"Number of substitution wrt reference\")\n",
-    "    plt.subplot(122)\n",
-    "    sns.histplot(x=yd, bins=np.linspace(-5, 5, 50), element=\"step\", alpha=0.1)\n",
-    "    plt.xlabel(\"Functional score\")\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Define reference condition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "('Omicron_BA1', 0)"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ref_condition = data.reference\n",
-    "ref_condition_idx = data.conditions.index(ref_condition)\n",
-    "ref_condition, ref_condition_idx"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Modeling\n",
-    "\n",
-    "Given any 1-hot encoding $X_d\\in\\{0,1\\}^{n_d\\times M}, d=1\\dots,D$, we pose the regression problem as\n",
-    "\n",
-    "### Reference Shift Model\n",
-    "\n",
-    "$$\n",
-    "y_d = g_\\theta\\left(\\beta_0 + \\alpha_d + \\sum_{m} (\\beta_{m} + \\Delta_{m, d})x_{m,d}\\right)\n",
-    "$$\n",
-    "\n",
-    "Where:\n",
-    "\n",
-    "* $\\beta_0$ is a wildtype offset parameter applied to the latent prediction of all experiments.\n",
-    "* $\\alpha_d$ is a set of bias parameters, optionally applied to the latent phenotype of all _non-reference_ experiments. These parameters may capture the effect of the _bundle_ of non-identical mutations which may exist between experiments.\n",
-    "* $\\beta_{m}$ is the latent phenotypic effect of mutation $m$ shared by all experiments (See the note below), \n",
-    "* $\\Delta_{d, m}$ is the shift of the effect of mutation $m$ in condition $d$.\n",
-    "* $v$ is the set of all mutations relative to the reference wild type sequence including all potential non-identical wildtype mutations that separate condition $d$ from the reference condition.\n",
-    "\n",
-    "### Generalized Lasso Model\n",
-    "\n",
-    "$$\n",
-    "y_{d} = g_\\theta\\left(\\beta_{0,d} + \\sum_m\\beta_{m,d} \\ x_{m,d}\\right) + \\epsilon_{d}.\n",
-    "$$\n",
-    "The shifts of mutation effects between conditions $d$ and $d'$ are\n",
-    "$$\n",
-    "\\Delta_{m,d,d'} = \\beta_{m,d} - \\beta_{m,d'},\n",
-    "$$\n",
-    "and the shifts between WTs are\n",
-    "$$\n",
-    "\\alpha_{d,d'} = \\beta_{0,d} - \\beta_{0,d'}.\n",
-    "$$\n",
-    "We will usually use a 1-hot encoding referenced to the WT sequence from one of the $D$ conditions, so that the mutation effects and shifts are interpreted wrt to that condition.\n",
-    "This introduces parameter scaling problems in the non-reference conditions that confound gradient methods, arising from the set of \"bundle\" sites that define the divergence from the reference encoding (more on this below).\n",
-    "For now, note that the choice of reference condition for interpreting shifts can be made *a posteriori* by fixing $d'$, recovering the parameterization in the main text."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# @jax.jit\n",
-    "def φ_pred_fn(params, data):\n",
-    "    result = {}\n",
-    "    for d in data[\"X\"]:\n",
-    "        β0d = params[\"β0\"][d]\n",
-    "        βd = params[\"β\"][d]\n",
-    "        Xd = data[\"X\"][d]\n",
-    "        # theta = params[\"θ\"]\n",
-    "        result[d] = β0d + Xd @ βd\n",
-    "    return result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "def sigmoidal_global_epistasis(theta: dict, z_d: jnp.array):\n",
-    "    r\"\"\"\n",
-    "    A flexible sigmoid function for modeling global epistasis.\n",
-    "    This function takes a set of latent phenotype values, :math:`z_d`\n",
-    "    and computes the predicted functional scores using the scaling parameters\n",
-    "    :math:`\\theta_{\\text{scale}}` and :math:`\\theta_{\\text{bias}}`\n",
-    "    such that:\n",
-    "\n",
-    "    .. math::\n",
-    "        g(z) =  \\frac{\\theta_{\\text{scale}}}{1 + e^{-z}} + \\theta_{\\text{bias}}\n",
-    "\n",
-    "    .. note::\n",
-    "        this function is independent from the\n",
-    "        experimental condition from which a variant is observed.\n",
-    "\n",
-    "    Parameters\n",
-    "    ----------\n",
-    "    theta : dict\n",
-    "        Dictionary of model defining parameters as jax arrays.\n",
-    "    z_d : jnp.array\n",
-    "        Latent phenotype values for a given set of variants\n",
-    "\n",
-    "    Returns\n",
-    "    -------\n",
-    "    jnp.array\n",
-    "        Predicted functional scores for each latent phenotype in ``z_d``.\n",
-    "    \"\"\"\n",
-    "    activations = jax.nn.sigmoid(z_d[:, None])\n",
-    "    return (theta[\"theta_scale\"] @ activations.T) + theta[\"theta_bias\"]\n",
-    "\n",
-    "\n",
-    "def identity_activation(d_params, act, **kwargs):\n",
-    "    \"\"\"\n",
-    "    Identity function :math:`f(x)=x`.\n",
-    "    Mostly a ghost function which helps compose\n",
-    "    the model when you don't want to use any final output activation e.g.\n",
-    "    you don't have a pre-defined lower bound.\n",
-    "    \"\"\"\n",
-    "    return act"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Functional score prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "if post_latent_fn == \"linear\":\n",
-    "    g_pred_fn = identity_activation\n",
-    "elif post_latent_fn == \"sigmoid\":\n",
-    "    g_pred_fn = sigmoidal_global_epistasis\n",
-    "    \n",
-    "def y_pred_fn(params, data):\n",
-    "    φ_pred = φ_pred_fn(params, data)\n",
-    "    result = {}\n",
-    "    theta = params[\"θ\"]\n",
-    "    for d in data[\"X\"]:\n",
-    "        result[d] = g_pred_fn(theta, φ_pred[d])\n",
-    "    return result"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Smooth peice of the objective function\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "Let $N = \\sum_{d=1}^{D}N_d$\n",
-    "\n",
-    "$$\n",
-    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{N} \\sum_{d=1}^D  \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x)) + \\lambda\\|\\beta_d\\|^2_2,\n",
-    "$$\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@jax.jit\n",
-    "def all_sample_normalized_loss(\n",
-    "    params, \n",
-    "    data, \n",
-    "    condition_weights, \n",
-    "    l2reg_beta=0.0, \n",
-    "    l2reg_theta_scale=0.0, \n",
-    "    huber_delta=1.0,\n",
-    "):\n",
-    "    conditional_loss = 0.0\n",
-    "    N = 0\n",
-    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
-    "\n",
-    "        yd = data[\"y\"][d]\n",
-    "        βd = params[\"β\"][d]\n",
-    "        N_d = yd.shape[0]\n",
-    "        wd = condition_weights[d] * data[\"w\"][d]\n",
-    "\n",
-    "        conditional_loss += (\n",
-    "            wd * jaxopt.loss.huber_loss(yd, yd_pred, delta=huber_delta)\n",
-    "        ).sum()\n",
-    "        \n",
-    "        conditional_loss += l2reg_beta * (βd**2).sum()\n",
-    "\n",
-    "        N += N_d \n",
-    "\n",
-    "    conditional_loss /= N\n",
-    "\n",
-    "    θ = params[\"θ\"]\n",
-    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
-    "\n",
-    "    return conditional_loss + theta_penalty"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "$$\n",
-    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{D} \\sum_{d=1}^D \\left(\\frac{1}{N_d} \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x)) + \\lambda\\|\\beta_d\\|^2_2\\right)\n",
-    "$$"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# jared's loss\n",
-    "@jax.jit\n",
-    "def condition_normalized_penalty_loss(\n",
-    "    params, \n",
-    "    data, \n",
-    "    condition_weights, \n",
-    "    l2reg_beta=0.0, \n",
-    "    l2reg_theta_scale=0.0, \n",
-    "    huber_delta=1.0,\n",
-    "):\n",
-    "    conditional_loss = 0.0\n",
-    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
-    "\n",
-    "        yd = data[\"y\"][d]\n",
-    "        βd = params[\"β\"][d]\n",
-    "        N_d = yd.shape[0]\n",
-    "        wd = condition_weights[d] * data[\"w\"][d]\n",
-    "\n",
-    "        huber_loss = (\n",
-    "            wd * jaxopt.loss.huber_loss(yd, yd_pred, delta=huber_delta)\n",
-    "        ).sum()\n",
-    "\n",
-    "        beta_ridge_penalty = l2reg_beta * (βd**2).sum()\n",
-    "        conditional_loss += (huber_loss + beta_ridge_penalty) / N_d\n",
-    "\n",
-    "    D = len(data[\"X\"])\n",
-    "    conditional_loss /= D\n",
-    "\n",
-    "    θ = params[\"θ\"]\n",
-    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
-    "\n",
-    "    return conditional_loss + theta_penalty"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "$$\n",
-    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{D} \\sum_{d=1}^D \\left(\\frac{1}{N_d} \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x))\\right) + \\frac{1}{N} \\lambda\\|\\beta\\|^2_2\n",
-    "$$"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@jax.jit\n",
-    "def condition_normalized_equal_penalty_loss(\n",
-    "    params, \n",
-    "    data, \n",
-    "    condition_weights, \n",
-    "    l2reg_beta=0.0, \n",
-    "    l2reg_theta_scale=0.0, \n",
-    "    huber_delta=1.0,\n",
-    "):\n",
-    "    N = 0\n",
-    "    huber_result = 0.0\n",
-    "    beta_ridge_penalty = 0.0\n",
-    "    \n",
-    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
-    "\n",
-    "        yd = data[\"y\"][d]\n",
-    "        βd = params[\"β\"][d]\n",
-    "        N_d = yd.shape[0]\n",
-    "        wd = condition_weights[d] * data[\"w\"][d]\n",
-    "\n",
-    "        huber_result += (\n",
-    "            wd * jaxopt.loss.huber_loss(yd, yd_pred, delta=huber_delta)\n",
-    "        ).mean()\n",
-    "\n",
-    "        beta_ridge_penalty += l2reg_beta * (βd**2).sum()\n",
-    "\n",
-    "        N += N_d\n",
-    "\n",
-    "    D = len(data[\"X\"]) \n",
-    "\n",
-    "    huber_result /= D\n",
-    "    beta_ridge_penalty /= N\n",
-    "    conditional_loss = huber_result + beta_ridge_penalty\n",
-    "\n",
-    "    θ = params[\"θ\"]\n",
-    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
-    "\n",
-    "    return conditional_loss + theta_penalty"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "$$\n",
-    "\\min_{\\beta_0,\\beta,\\theta} \\frac{1}{D} \\sum_{d=1}^D \\left(\\frac{1}{N_d} \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x))\\right) + \\lambda\\|\\beta\\|^2_2\n",
-    "$$"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@jax.jit\n",
-    "def condition_normalized_sum_penalty_loss(\n",
-    "    params, \n",
-    "    data, \n",
-    "    condition_weights, \n",
-    "    l2reg_beta=0.0, \n",
-    "    l2reg_theta_scale=0.0, \n",
-    "    huber_delta=1.0,\n",
-    "):\n",
-    "    huber_result = 0.0\n",
-    "    beta_ridge_penalty = 0.0\n",
-    "    \n",
-    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
-    "\n",
-    "        yd = data[\"y\"][d]\n",
-    "        βd = params[\"β\"][d]\n",
-    "        N_d = yd.shape[0]\n",
-    "        wd = condition_weights[d] * data[\"w\"][d]\n",
-    "\n",
-    "        huber_result += (\n",
-    "            wd * jaxopt.loss.huber_loss(\n",
-    "                yd, \n",
-    "                yd_pred, \n",
-    "                delta=huber_delta\n",
-    "            )\n",
-    "        ).mean()\n",
-    "\n",
-    "        beta_ridge_penalty += l2reg_beta * (βd**2).sum()\n",
-    "\n",
-    "    D = len(data[\"X\"]) \n",
-    "    huber_result /= D\n",
-    "    conditional_loss = huber_result + beta_ridge_penalty\n",
-    "\n",
-    "    θ = params[\"θ\"]\n",
-    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
-    "\n",
-    "    return conditional_loss + theta_penalty"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "$$\n",
-    "\\min_{\\beta_0,\\beta,\\theta} \\sum_{d=1}^D \\sum_{(x, y)\\in\\mathcal{D}_d}^{N_d}\\!\\!\\ell(y,\\hat{y}_d(x)) + \\lambda\\|\\beta\\|^2_2\n",
-    "$$"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@jax.jit\n",
-    "def sum_penalty_loss(\n",
-    "    params, \n",
-    "    data, \n",
-    "    condition_weights, \n",
-    "    l2reg_beta=0.0, \n",
-    "    l2reg_theta_scale=0.0, \n",
-    "    huber_delta=1.0,\n",
-    "):\n",
-    "    huber_result = 0.0\n",
-    "    beta_ridge_penalty = 0.0\n",
-    "    \n",
-    "    for d, yd_pred in y_pred_fn(params, data).items():\n",
-    "\n",
-    "        yd = data[\"y\"][d]\n",
-    "        βd = params[\"β\"][d]\n",
-    "        N_d = yd.shape[0]\n",
-    "        wd = condition_weights[d] * data[\"w\"][d]\n",
-    "\n",
-    "        huber_result += (\n",
-    "            wd * jaxopt.loss.huber_loss(\n",
-    "                yd, \n",
-    "                yd_pred, \n",
-    "                delta=huber_delta\n",
-    "            )\n",
-    "        ).sum()\n",
-    "\n",
-    "        beta_ridge_penalty += l2reg_beta * (βd**2).sum()\n",
-    "\n",
-    "    conditional_loss = huber_result + beta_ridge_penalty\n",
-    "\n",
-    "    θ = params[\"θ\"]\n",
-    "    theta_penalty = l2reg_theta_scale * (θ[\"theta_scale\"]**2).sum()\n",
-    "\n",
-    "    return conditional_loss + theta_penalty"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "smooth_obj_fn_dict = {\n",
-    "    \"all_sample_norm\" : all_sample_normalized_loss,\n",
-    "    \"cond_norm_penalty\": condition_normalized_penalty_loss,\n",
-    "    \"cond_norm_equal_penalty\": condition_normalized_equal_penalty_loss,\n",
-    "    \"cond_norm_sum_penalty\": condition_normalized_sum_penalty_loss,\n",
-    "    \"sum_penalty\": sum_penalty_loss\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from functools import partial\n",
-    "from jax.tree_util import Partial\n",
-    "smooth_objective = jax.jit(smooth_obj_fn_dict[smooth_obj_fn])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Data scale adjustments\n",
-    "\n",
-    "To appropriately scale regression parameters, we need condition-specific 1-hot encodings, each wrt the WT in that condition. We get this by bit flipping the \"bundle\" sites in all conditions.\n",
-    "Now each condition has data referenced to its own WT."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Delta\n",
-      "Omicron_BA1\n",
-      "Omicron_BA2\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'X': {'Delta': BCOO(int8[26743, 10722], nse=78045),\n",
-       "  'Omicron_BA1': BCOO(int8[53209, 10722], nse=137253),\n",
-       "  'Omicron_BA2': BCOO(int8[51122, 10722], nse=158121)},\n",
-       " 'y': {'Delta': Array([ 0.        , -1.46217618,  0.10072214, ..., -0.95950872,\n",
-       "         -3.0166309 , -3.39281081], dtype=float64),\n",
-       "  'Omicron_BA1': Array([ 0.        , -0.1441993 ,  0.15470144, ..., -3.5       ,\n",
-       "         -3.5       , -3.5       ], dtype=float64),\n",
-       "  'Omicron_BA2': Array([ 0.        , -0.04110356, -0.62651354, ..., -3.3366282 ,\n",
-       "         -3.5       , -3.5       ], dtype=float64)},\n",
-       " 'w': {'Delta': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
-       "  'Omicron_BA1': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64),\n",
-       "  'Omicron_BA2': Array([1., 1., 1., ..., 1., 1., 1.], dtype=float64)}}"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def rereference(X, cols):\n",
-    "    \"\"\"Flip bits on columns (bool idxs)\"\"\"\n",
-    "    if cols.sum():\n",
-    "        X_scipy = scipy.sparse.csr_matrix((X.data, (X.indices[:, 0], X.indices[:, 1])), shape=X.shape).tolil()\n",
-    "        tmp = X_scipy[: , cols].copy()\n",
-    "        X_scipy[: , cols] = 1\n",
-    "        X_scipy[: , cols] -= tmp\n",
-    "        X_scaled = jax.experimental.sparse.BCOO.from_scipy_sparse(X_scipy)\n",
-    "        X_scaled = jax.experimental.sparse.BCOO((X_scaled.data.astype(jnp.int8), X_scaled.indices), shape=X.shape)\n",
-    "\n",
-    "        assert (X[:, cols].sum(0).todense() + X_scaled[:, cols].sum(0).todense() == X.shape[0]).all()\n",
-    "\n",
-    "    else:\n",
-    "        X_scaled = X\n",
-    "\n",
-    "    return X_scaled\n",
-    "\n",
-    "\n",
-    "scaled_data = {\"X\": {}, \"y\": data.training_data[\"y\"], \"w\": data.training_data[\"w\"]}\n",
-    "\n",
-    "bundle_idxs = {}\n",
-    "bundle_signs = {}\n",
-    "\n",
-    "for d in data.training_data[\"X\"]:\n",
-    "    print(d)\n",
-    "    bundle_idxs[d] = data.training_data[\"X\"][d].sum(0).todense() / data.training_data[\"X\"][d].shape[0] > 0.5\n",
-    "    bundle_signs[d] = jnp.where(bundle_idxs[d], -1, 1)\n",
-    "\n",
-    "    scaled_data[\"X\"][d] = rereference(data.training_data[\"X\"][d], bundle_idxs[d])\n",
-    "\n",
-    "scaled_data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array([False, False, False, ..., False, False, False], dtype=bool)"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bundle_idxs[\"Omicron_BA1\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Plot the distribution of row-sums of $X$ in the rescaled data. Much nicer!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(4, 3))\n",
-    "for d in data.conditions:\n",
-    "    Xd = scaled_data[\"X\"][d]\n",
-    "    yd = scaled_data[\"y\"][d]\n",
-    "    sns.histplot(Xd.sum(1).todense(), bins=np.linspace(0, 50, 50), label=d, element=\"step\", alpha=0.1)\n",
-    "    plt.legend()\n",
-    "    plt.xlabel(\"Number of substitution wrt homolog-wise WT\")\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Parameter transformation\n",
-    "\n",
-    "Consider just one condition, so that we suppress the index $d$ below for simplicity.\n",
-    "Let $\\mathcal{B}$ be the set of indices of the columns of $X$ corresponding to the bundle. We want to work with rescaled data $1-x_m$ at sites $m\\in\\mathcal{B}$ in the bundle, and $x_m$ at sites $m\\notin\\mathcal{B}$ not in the bundle. Let $\\tilde\\beta_0$ and $\\tilde\\beta_m$ be the intercept and coefficients in the rescaled problem, and $\\beta_0$ and $\\beta_m$ be the intercept and coefficients in the original data. The equivalence of latent phenotype predictions between scales requires\n",
-    "$$\n",
-    "\\tilde\\beta_0 + \\sum_{m\\notin\\mathcal{B}}\\tilde\\beta_m x_m + \\sum_{m\\in\\mathcal{B}}\\tilde\\beta_m(1 - x_m) = \\beta_0 + \\sum_m\\beta_m x_m.\n",
-    "$$\n",
-    "Matching like terms, we find\n",
-    "$$\n",
-    "\\beta_0 = \\tilde\\beta_0 + \\sum_{m\\in\\mathcal{B}}\\tilde\\beta_m = \\tilde\\beta_0 - \\sum_{m\\in\\mathcal{B}}\\beta_m,\n",
-    "$$\n",
-    "and\n",
-    "$$\n",
-    "\\beta_m =\n",
-    "\\begin{cases}\n",
-    "\\tilde\\beta_m, & m\\notin\\mathcal{B} \\\\\n",
-    "-\\tilde\\beta_m, & m\\in\\mathcal{B}\n",
-    "\\end{cases}.\n",
-    "$$\n",
-    "Note that $\\tilde\\beta_m^{\\mathrm{ref}} = \\beta_m^{\\mathrm{ref}}$, since $\\mathcal{B}^{\\mathrm{ref}}=\\emptyset$.\n",
-    "Note also that the transform operation is its own inverse."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def transform(params, bundle_idxs):\n",
-    "    params_transformed = {key: val.copy() for key, val in params.items() if key not in [\"β\", \"β0\"]}\n",
-    "    params_transformed[\"β\"] = {}\n",
-    "    params_transformed[\"β0\"] = {}\n",
-    "    for d in params[\"β\"]:\n",
-    "        params_transformed[\"β\"][d] = params[\"β\"][d].at[bundle_idxs[d]].mul(-1)\n",
-    "        params_transformed[\"β0\"][d] = params[\"β0\"][d] + params[\"β\"][d][bundle_idxs[d]].sum()\n",
-    "    return params_transformed"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Reference-experiment equivariance during optimization\n",
-    "\n",
-    "We currently choose a reference experiment *a priori* and penalize only the differences between each non-reference experiment and the reference experiment.\n",
-    "For this section, consider one mutation, so we suppress the index $m$ below for simplicity.\n",
-    "Our mutation effects across conditions are the vector $β\\in\\mathbb{R}^D$, and our shift penalty is\n",
-    "$$\n",
-    "\\lambda\\|\\Delta\\|_1 = \\lambda\\|\\mathfrak{D} β\\|_1,\n",
-    "$$\n",
-    "where, assuming $d=1$ is the reference experiment and $D=3$, we use the difference matrix\n",
-    "$$\n",
-    "\\mathfrak{D} = \n",
-    "\\begin{bmatrix}\n",
-    "0 & 0 & 0\\\\\n",
-    "-1 & 1 & 0\\\\\n",
-    "-1 & 0 & 1\n",
-    "\\end{bmatrix}.\n",
-    "$$\n",
-    "The row of zeros captures the fact that we don't penalize shifts between non-reference experiments.\n",
-    "This lack of symmetry limits the potential sparsity structure of the model.\n",
-    "For example, it's not possible for two non-reference experiments to have the same mutation effect that is different from the reference experiment.\n",
-    "If an epistatic interaction has arisen only on the branch leading to the reference experiment, we can't discover that shift pattern.\n",
-    "\n",
-    "This boils down to \n",
-    "\n",
-    "$$\n",
-    "\\mathfrak{D}\\beta=\\begin{bmatrix}\n",
-    "0\\\\\n",
-    "\\beta_2-\\beta_1\\\\\n",
-    "\\beta_3-\\beta_1\n",
-    "\\end{bmatrix},\n",
-    "$$\n",
-    "\n",
-    "For example, If $\\beta = [2, 1, 2]^T$ then $\\mathfrak{D}\\beta=[0, -1, 0]^T$.\n",
-    "\n",
-    "It would be more natural to infer a reference-equivariant model that fuses across all conditions symmetrically, after which an *a posteriori* choice of reference experiment can be made for mutation effect interpretation.\n",
-    "We would use the difference matrix\n",
-    "$$\n",
-    "\\mathfrak{D} = \n",
-    "\\begin{bmatrix}\n",
-    "0 & -1 & 1\\\\\n",
-    "-1 & 1 & 0\\\\\n",
-    "-1 & 0 & 1\n",
-    "\\end{bmatrix},\n",
-    "$$\n",
-    "where all shifts are penalized symmetrically. Then, \n",
-    "\n",
-    "$$\n",
-    "\\mathfrak{D}\\beta=\\begin{bmatrix}\n",
-    "\\beta_3-\\beta_2\\\\\n",
-    "\\beta_2-\\beta_1\\\\\n",
-    "\\beta_3-\\beta_1\n",
-    "\\end{bmatrix},\n",
-    "$$\n",
-    "\n",
-    "For example, If $\\beta = [2, 1, 2]^T$ then $\\mathfrak{D}\\beta=[1, -1, 0]^T$.\n",
-    "\n",
-    "Finally, we can combine this with the parameter transformation above by specifying $\\tilde{\\mathfrak{D}}$ such that $\\tilde{\\mathfrak{D}}\\tilde\\beta = \\mathfrak{D}\\beta$.\n",
-    "This is achieved by setting $\\tilde{\\mathfrak{D}} = \\mathfrak{D}(I - 2\\mathrm{diag}(B))$, where $B$ is the 1-hot encoding of the bundleness across conditions at this site.\n",
-    "The diagonal matrix $(I - 2\\mathrm{diag}(B))$ has -1s for conditions for which the site is in the bundle, and 1s for conditions for which the site is not in the bundle."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### ADMM approach\n",
-    "\n",
-    "We next derive the proximal operator for the symmetric fusion problem, using standard augmented Lagrangian methods (see citations below).\n",
-    "This is a special case of the generalized lasso.\n",
-    "Our penalized problem is\n",
-    "$$\n",
-    "\\min_{\\beta} f(\\beta) + \\lambda\\|\\mathfrak{D}\\beta\\|_1,\n",
-    "$$\n",
-    "where $f$ is the smooth piece of the objective.\n",
-    "To use FISTA, we'll need the gradient $\\nabla f$ and the proximal operator $\\mathrm{prox}_{\\lambda}$, defined as\n",
-    "$$\n",
-    "\\mathrm{prox}_{\\lambda}(x) = \\arg\\min_{y}\\frac{1}{2}\\|x - y\\|_2^2 + \\lambda\\|\\mathfrak{D}y\\|_1,\n",
-    "$$\n",
-    "which is equivalent to the constrained problem\n",
-    "$$\n",
-    "\\mathrm{prox}_{\\lambda}(x) = \\arg\\min_{y, z}\\frac{1}{2}\\|x - y\\|_2^2 + \\lambda\\|z\\|_1 \\quad \\text{s.t.} \\quad \\mathfrak{D}y - z = 0.\n",
-    "$$\n",
-    "This can be evaluated by ADMM iterations with dual variable $u$:\n",
-    "$$\n",
-    "\\begin{aligned}\n",
-    "y^{(k+1)} &= (I + \\rho \\mathfrak{D}^\\intercal \\mathfrak{D})^{-1}(x + \\rho \\mathfrak{D}^\\intercal(z^{(k)} - u^{(k)}))\\\\\n",
-    "z^{(k+1)} &= S_{\\lambda/\\rho}(\\mathfrak{D}y^{(k+1)} + u^{(k)})\\\\\n",
-    "u^{(k+1)} &= u^{(k)} + \\mathfrak{D}y^{(k+1)} - z^{(k+1)},\n",
-    "\\end{aligned}\n",
-    "$$\n",
-    "where $S_{\\lambda/\\rho}$ is the soft-thresholding operator and $\\rho>0$ is the ADMM step-size.\n",
-    "These iterations rapidly converge in terms of the primal and dual residuals:\n",
-    "$$\n",
-    "\\begin{aligned}\n",
-    "\\text{primal residual} &= \\|\\mathfrak{D}y^{(k+1)} - z^{(k+1)}\\|_2\\\\\n",
-    "\\text{dual residual} &= \\rho\\|D^\\intercal(z^{(k+1)} - z^{(k)})\\|_2.\n",
-    "\\end{aligned}\n",
-    "$$\n",
-    "\n",
-    "To parallelize across all mutations, we simply stack in the column dimensions of $y, z, u$. Thus, we have the proximal operator necessary for the general lasso penalized model.\n",
-    "\n",
-    "See:\n",
-    "- [Boyd et al.](https://web.stanford.edu/~boyd/papers/pdf/admm_distr_stats.pdf) for the generalized lasso problem (see $\\S6.4.1$).\n",
-    "- [Tibshirani](https://www.stat.cmu.edu/~ryantibs/convexopt-F15/lectures/21-dual-meth.pdf), slide 21\n",
-    "- [Tibshirani and Taylor](https://www.stat.cmu.edu/~ryantibs/papers/genlasso.pdf) for a treatment of the solution path.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<!-- ### Conjecture\n",
-    "\n",
-    "We can avoid ADMM and instead use direct soft-thresholding. Introduce auxiliary variable $\\bar\\beta\\in\\mathbb{R}$ (loosely interpretable as a condition averaged effect) and use the simple lasso penalty $\\lambda\\|\\beta - \\bar\\beta 1_D\\|$, for which\n",
-    "\n",
-    "$$\n",
-    "\\mathrm{prox}_{\\lambda}(\\beta) = \\bar\\beta 1_D + S_\\lambda(\\beta_d - \\bar\\beta 1_D)\n",
-    "$$\n",
-    "\n",
-    "This is probably mathematically equivalent to the problem above with the general ADMM hammer. Even if it's somehow not, it is at least morally equivalent. 😃  -->\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array([[ 0.,  0.,  0.],\n",
-       "       [-1.,  1.,  0.],\n",
-       "       [-1.,  0.,  1.]], dtype=float64)"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "if equivariant:\n",
-    "    # uncomment this one to apply the equivariant shift penalty\n",
-    "    D = jnp.array([\n",
-    "        [1, -1, 0],\n",
-    "        [0, 1, -1],\n",
-    "        [-1, 0, 1],\n",
-    "    ], dtype=jnp.float64)\n",
-    "else:\n",
-    "    # apply shift penalties wrt to the reference condition only\n",
-    "    D = jnp.eye(3, 3).at[:, ref_condition_idx].set(-1).at[ref_condition_idx].set(0)\n",
-    "\n",
-    "D"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array([[ 1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1],\n",
-       "       [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],\n",
-       "       [ 1,  1, -1, -1, -1,  1,  1,  1,  1, -1, -1, -1, -1, -1]],      dtype=int64, weak_type=True)"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bundle_sign_matrix = jnp.vstack([bundle_signs[d] for d in data.conditions])\n",
-    "# E.g.\n",
-    "bundle_sign_matrix[:, bundle_idxs[\"Omicron_BA2\"]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(3, 10722)"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bundle_sign_matrix.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<32166x32166 sparse matrix of type '<class 'numpy.float64'>'\n",
-       "\twith 96498 stored elements in COOrdinate format>"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "D_block_diag = scipy.sparse.block_diag([jnp.array(D) @ jnp.diag(bundle_sign_matrix[:, col]) for col in range(len(data.mutations))])\n",
-    "D_block_diag"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<32166x32166 LinearOperator with dtype=float64>"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#pylops.FirstDerivative(shape, edge=True, kind='backward')\n",
-    "Dop = pylops.LinearOperator(Op=scipy.sparse.linalg.aslinearoperator(D_block_diag), dtype=D.dtype, shape=D_block_diag.shape) \n",
-    "Dop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.0000000000000018"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "eig = np.real((Dop.H * Dop).eigs(neigs=1, which='LM')[0])\n",
-    "eig"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Prox on scaled parameters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# @jax.jit\n",
-    "def prox(params, hyperparameters, scaling=1.0):\n",
-    "    # see https://pyproximal.readthedocs.io/en/stable/index.html\n",
-    "    λ, niter, τ, μ, theta_scale_upper_bound, lock_params = hyperparameters\n",
-    "    # λ, niter, τ, μ = hyperparameters\n",
-    "    assert 0 < μ < τ / eig\n",
-    "    # params[\"γ\"][ref_condition] = 0.0\n",
-    "\n",
-    "    # apply prox\n",
-    "    β_ravel = jnp.vstack(params[\"β\"].values()).ravel(order=\"F\")\n",
-    "\n",
-    "    β_ravel, Δ_ravel = pyproximal.optimization.primal.LinearizedADMM(\n",
-    "        pyproximal.L2(b=β_ravel), pyproximal.L1(sigma=scaling * λ), Dop,\n",
-    "        niter=niter, tau=τ, mu=μ,\n",
-    "        x0=β_ravel,\n",
-    "        show=False\n",
-    "        )\n",
-    "\n",
-    "    β = β_ravel.reshape(-1, len(β_ravel) // 3, order=\"F\")\n",
-    "    Δ = Δ_ravel.reshape(-1, len(Δ_ravel) // 3, order=\"F\")\n",
-    "\n",
-    "    # update β dict\n",
-    "    for i, d in enumerate(params[\"β\"]):\n",
-    "        params[\"β\"][d] = β[i]\n",
-    "\n",
-    "    # update shifts\n",
-    "    params[\"Δ\"] = Δ\n",
-    "    # should the following two conditions be within the transform?\n",
-    "    # I'm pretty sure it doesn't matter since the the post latent\n",
-    "    # stuff doesn't interfere with the beta's transformation. \n",
-    "    # \n",
-    "    # Though I do wonder if the beta's should be transformed before\n",
-    "    # beting passed to the predictive function? HMM?    \n",
-    "    # clamp theta scale to monotonic, and with optional upper bound\n",
-    "    params[\"θ\"][\"theta_scale\"] = params[\"θ\"][\"theta_scale\"].clip(\n",
-    "            # 0, theta_scale_upper_bound\n",
-    "            0, theta_scale_upper_bound\n",
-    "    )\n",
-    "    # Any params to constrain during fit\n",
-    "    if lock_params is not None:\n",
-    "        for key, value in lock_params.items():\n",
-    "            params[key] = value\n",
-    "\n",
-    "\n",
-    "    # clamp β0 for reference condition in non-scaled parameterization (where it's a box constraint)\n",
-    "    params = transform(params, bundle_idxs)\n",
-    "    params[\"β0\"][ref_condition] = 0.0\n",
-    "\n",
-    "            \n",
-    "    params = transform(params, bundle_idxs)\n",
-    "\n",
-    "    return params\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@jax.jit\n",
-    "def total_objective(params, data, condition_weights, l2reg_beta=0.0, l2reg_theta_scale=0.0, l1reg=0.0, huber_delta=1.0):\n",
-    "    result = smooth_objective(\n",
-    "        params, \n",
-    "        data, \n",
-    "        condition_weights, \n",
-    "        l2reg_beta=l2reg_beta,\n",
-    "        l2reg_theta_scale=l2reg_theta_scale,\n",
-    "        huber_delta=huber_delta\n",
-    "    )\n",
-    "    result += l1reg * jnp.abs(params[\"Δ\"]).sum()\n",
-    "    return result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sigmoid_params = {\"theta_scale\": jnp.array([theta_scale]), \"theta_bias\": jnp.array([theta_bias])}\n",
-    "\n",
-    "key = jax.random.PRNGKey(23)\n",
-    "params0 = dict(\n",
-    "    # β={d: jnp.zeros(len(data.mutations)) for d in data.conditions},\n",
-    "    β={\n",
-    "        d: (jax.random.normal(shape=(len(data.mutations),), key=k) \n",
-    "        if init_beta_normal else jnp.zeros(len(data.mutations))) \n",
-    "        for d,k in zip(data.conditions, jax.random.split(key, len(data.conditions)))\n",
-    "    },\n",
-    "    β0={d: jnp.array(0.0) for d in data.conditions},\n",
-    "    θ=sigmoid_params\n",
-    "    )\n",
-    "\n",
-    "params0[\"Δ\"] = jnp.zeros((len(data.conditions), len(data.mutations)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'Omicron_BA1': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
-       " 'Omicron_BA2': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
-       " 'Delta': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64)}"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "params0[\"β\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'θ': {'theta_scale': Array([6.], dtype=float64),\n",
-       "  'theta_bias': Array([-3.5], dtype=float64)},\n",
-       " 'Δ': array([[0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]),\n",
-       " 'theta_scale': Array([6.], dtype=float64),\n",
-       " 'theta_bias': Array([-3.5], dtype=float64),\n",
-       " 'β': {'Omicron_BA1': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
-       "  'Omicron_BA2': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64),\n",
-       "  'Delta': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64)},\n",
-       " 'β0': {'Omicron_BA1': Array(0., dtype=float64),\n",
-       "  'Omicron_BA2': Array(0., dtype=float64),\n",
-       "  'Delta': Array(0., dtype=float64)}}"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "lock_params = sigmoid_params\n",
-    "prox(params0, (1e-6, 100, 1.0, .99 / eig, theta_scale_upper_bound, lock_params), scaling=1.0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'theta_bias': Array([0.], dtype=float64),\n",
-       " 'theta_scale': Array([0.], dtype=float64),\n",
-       " 'Δ': Array([[0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]], dtype=float64),\n",
-       " 'β': {'Delta': Array([ 1.74189748e-05,  1.86964813e-04,  9.34824066e-05, ...,\n",
-       "         -2.55936840e-05, -2.03461193e-06,  7.87875798e-06], dtype=float64),\n",
-       "  'Omicron_BA1': Array([ 0.00000000e+00,  3.75876262e-05,  0.00000000e+00, ...,\n",
-       "         -2.03543055e-04,  6.85823920e-05,  0.00000000e+00], dtype=float64),\n",
-       "  'Omicron_BA2': Array([ 0.00000000e+00,  7.82442001e-05,  0.00000000e+00, ...,\n",
-       "         -6.22198148e-06,  9.18777813e-05,  0.00000000e+00], dtype=float64)},\n",
-       " 'β0': {'Delta': Array(0.09698376, dtype=float64, weak_type=True),\n",
-       "  'Omicron_BA1': Array(0.15599917, dtype=float64, weak_type=True),\n",
-       "  'Omicron_BA2': Array(0.20793943, dtype=float64, weak_type=True)},\n",
-       " 'θ': {'theta_bias': Array([0.30728158], dtype=float64),\n",
-       "  'theta_scale': Array([0.15364079], dtype=float64)}}"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "jax.grad(smooth_objective)(params0, scaled_data, {d: 1.0 for d in scaled_data[\"X\"]})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array(0.91224991, dtype=float64)"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "total_objective(params0, scaled_data, {d: 1.0 for d in scaled_data[\"X\"]})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "solver = jaxopt.ProximalGradient(\n",
-    "    smooth_objective,\n",
-    "    prox,\n",
-    "    # tol=1e-8,\n",
-    "    # maxiter=10000,\n",
-    "    acceleration=True,\n",
-    "    # stepsize=1e-1,\n",
-    "    maxls=30,\n",
-    "    # decrease_factor=0.8,\n",
-    "    jit=False,\n",
-    "    # verbose=True,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "l1reg = lasso_coeff\n",
-    "theta_scale_upper_bound = theta_scale_upper_bound\n",
-    "l2reg_beta = l2reg_beta\n",
-    "l2reg_theta_scale = l2reg_theta_scale"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "admm_niter = 50\n",
-    "admm_τ = 1.0\n",
-    "admm_μ = 0.99 * admm_τ / eig\n",
-    "hyperparameters_prox = l1reg, admm_niter, admm_τ, admm_μ, theta_scale_upper_bound, lock_params\n",
-    "condition_weights = {\"Omicron_BA1\": 1.0, \"Omicron_BA2\": 1.0, \"Delta\": 1.0}\n",
-    "huber_delta =1.0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "iter = []\n",
-    "stepsize = []\n",
-    "obj = []\n",
-    "error = []\n",
-    "sparsity = []\n",
-    "duality_gap = []\n",
-    "\n",
-    "params = params0\n",
-    "\n",
-    "state = solver.init_state(\n",
-    "    params,\n",
-    "    hyperparameters_prox,\n",
-    "    l2reg_beta=l2reg_beta,\n",
-    "    l2reg_theta_scale=l2reg_theta_scale,\n",
-    "    condition_weights=condition_weights,\n",
-    "    data=scaled_data,\n",
-    "    huber_delta=huber_delta,\n",
-    "    )\n",
-    "\n",
-    "# update = jax.jit(solver.update)\n",
-    "update = solver.update\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Iteration 10, objective=7.98e-01, stepsize=2.00e+00, error=5.49e-02, shift sparsity = [1.00 0.82 0.83], duality gap = 1.47e-13\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "for _ in range(warmup_iterations):\n",
-    "    params, state = update(\n",
-    "        params, state,\n",
-    "        hyperparameters_prox,\n",
-    "        l2reg_beta=l2reg_beta,\n",
-    "        l2reg_theta_scale=l2reg_theta_scale,\n",
-    "        condition_weights=condition_weights,\n",
-    "        data=scaled_data,\n",
-    "        huber_delta=huber_delta\n",
-    "        )\n",
-    "    iter.append(int(state.iter_num))\n",
-    "    stepsize.append(float(state.stepsize))\n",
-    "    obj.append(float(total_objective(params, scaled_data, condition_weights, l2reg_beta=l2reg_beta, l2reg_theta_scale=l2reg_theta_scale, l1reg=l1reg, huber_delta=huber_delta)))\n",
-    "    error.append(float(state.error))\n",
-    "    # params_unscaled = transform(params, bundle_idxs)\n",
-    "    sparsity.append((params[\"Δ\"] == 0).mean(1))\n",
-    "    β_ravel = jnp.vstack(params[\"β\"].values()).ravel(order=\"F\")\n",
-    "    Δ_ravel = params[\"Δ\"].ravel(order=\"F\")\n",
-    "    duality_gap.append(jnp.sqrt(((Δ_ravel - D_block_diag @ β_ravel))**2).reshape(-1, len(β_ravel) // 3, order=\"F\").sum(0).mean())\n",
-    "    if state.iter_num % 10 == 0:\n",
-    "        with np.printoptions(precision=2, floatmode=\"fixed\"):\n",
-    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "if not lock_sigmoid_params:\n",
-    "    hyperparameters_prox = l1reg, admm_niter, admm_τ, admm_μ, theta_scale_upper_bound, None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Iteration 20, objective=7.84e-01, stepsize=4.00e+00, error=3.89e-02, shift sparsity = [1.00 0.83 0.83], duality gap = 3.08e-13\n",
-      "Iteration 30, objective=7.59e-01, stepsize=2.00e+00, error=1.43e-01, shift sparsity = [1.00 0.81 0.81], duality gap = 1.54e-13\n",
-      "Iteration 40, objective=7.25e-01, stepsize=2.00e+00, error=1.38e-01, shift sparsity = [1.00 0.77 0.77], duality gap = 1.55e-13\n",
-      "Iteration 50, objective=6.84e-01, stepsize=2.00e+00, error=1.49e-01, shift sparsity = [1.00 0.73 0.73], duality gap = 1.57e-13\n",
-      "Iteration 60, objective=6.40e-01, stepsize=4.00e+00, error=7.37e-02, shift sparsity = [1.00 0.69 0.69], duality gap = 2.71e-13\n",
-      "Iteration 70, objective=6.11e-01, stepsize=2.00e+00, error=1.40e-01, shift sparsity = [1.00 0.65 0.68], duality gap = 1.66e-13\n",
-      "Iteration 80, objective=5.81e-01, stepsize=4.00e+00, error=8.27e-02, shift sparsity = [1.00 0.67 0.68], duality gap = 2.73e-13\n",
-      "Iteration 90, objective=5.55e-01, stepsize=2.00e+00, error=1.60e-01, shift sparsity = [1.00 0.67 0.68], duality gap = 2.04e-13\n",
-      "Iteration 100, objective=5.32e-01, stepsize=1.00e+00, error=3.15e-01, shift sparsity = [1.00 0.67 0.67], duality gap = 2.09e-12\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "for _ in range(max_total_iterations - warmup_iterations):\n",
-    "    params, state = update(\n",
-    "        params, state,\n",
-    "        hyperparameters_prox,\n",
-    "        l2reg_beta=l2reg_beta,\n",
-    "        l2reg_theta_scale=l2reg_theta_scale,\n",
-    "        condition_weights=condition_weights,\n",
-    "        data=scaled_data,\n",
-    "        huber_delta=huber_delta\n",
-    "        )\n",
-    "    iter.append(int(state.iter_num))\n",
-    "    stepsize.append(float(state.stepsize))\n",
-    "    obj.append(float(total_objective(params, scaled_data, condition_weights, l2reg_beta=l2reg_beta, l2reg_theta_scale=l2reg_theta_scale, l1reg=l1reg, huber_delta=huber_delta)))\n",
-    "    error.append(float(state.error))\n",
-    "    # params_unscaled = transform(params, bundle_idxs)\n",
-    "    sparsity.append((params[\"Δ\"] == 0).mean(1))\n",
-    "    β_ravel = jnp.vstack(params[\"β\"].values()).ravel(order=\"F\")\n",
-    "    Δ_ravel = params[\"Δ\"].ravel(order=\"F\")\n",
-    "    duality_gap.append(jnp.sqrt(((Δ_ravel - D_block_diag @ β_ravel))**2).reshape(-1, len(β_ravel) // 3, order=\"F\").sum(0).mean())\n",
-    "    if state.iter_num % 10 == 0:\n",
-    "        with np.printoptions(precision=2, floatmode=\"fixed\"):\n",
-    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")\n",
-    "    # if state.error < 1e-4:\n",
-    "    if state.error < error_tolerance:\n",
-    "        print(f\"\\n##############\\nCONVERGED!\\n##############\\n\")\n",
-    "        with np.printoptions(precision=2, floatmode=\"fixed\"):\n",
-    "            print(f\"Iteration {iter[-1]}, objective={obj[-1]:.2e}, stepsize={stepsize[-1]:.2e}, error={error[-1]:.2e}, shift sparsity = {sparsity[-1]}, duality gap = {duality_gap[-1]:.2e}\")\n",
-    "        break"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pickle\n",
-    "pickle.dump(params, open(f\"{output_dir}/params.pkl\", \"wb\"))\n",
-    "# dump state object\n",
-    "pickle.dump(state, open(f\"{output_dir}/state.pkl\", \"wb\"))\n",
-    "# dump data object\n",
-    "pickle.dump(data, open(f\"{output_dir}/data.pkl\", \"wb\"))\n",
-    "# dump D\n",
-    "pickle.dump(D, open(f\"{output_dir}/D.pkl\", \"wb\"))\n",
-    "# dump Objective \n",
-    "pickle.dump(obj, open(f\"{output_dir}/obj.pkl\", \"wb\"))\n",
-    "# dump Error\n",
-    "pickle.dump(error, open(f\"{output_dir}/error.pkl\", \"wb\"))\n",
-    "# dump Sparsity\n",
-    "pickle.dump(sparsity, open(f\"{output_dir}/sparsity.pkl\", \"wb\"))\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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/nuPZLSIiLcaiRaRD2jexwf5Z3fBmV3cIAvDz2Tvo+/URHE7KkjoaERE9AYsWkY4xNpTj34O8K53dGrsuFp/sTURJuVLqeERE9DcsWkQ66q+zW2MCmgAA1kanYEj4cVzLKpA4GRER/YVFi0iHGRvK8fHgVlgzxg/WpoZITM9D0PJobDudyklOiYi0AIsWkR540dsBv87qjs7NGuJRmRLzd1zA7IgEFJaUSx2NiKheY9Ei0hOOlsbYPMEf815qAblMwO6ENASFReNKRp7U0YiI6i0WLSI9IpMJmNazObZN6gRHC2PcuFeI4PAY/Bh7m5cSiYgkwKJFpIc6uNlg38yu6O5ph+IyFeb9fB5v/XiOlxKJiOoYixaRnmpoZoT1YzvgnX4tIBOAHfF3MWh5NC7ezZU6GhFRvcGiRaTHZDIBob2aY9ukADSyNEZKdiGGrjiOdTEpvJRIRFQHWLSI6oGO7jbYP7MbXvR2QKlShf/sScTEjWeQU1QqdTQiIr3GokVUT1g3UODb0e3xn5d9oJDLcOByJgYui8bZ1IdSRyMi0lssWkT1iCAICOnshh3TOsOtoSnu5jzCq6tO4LtjN3gpkYhIA1i0iOqhVo0tsWdGVwx8oRHKVSI+3XeZlxKJiDSARYuonjI3NkTYiLb4JLhVpUuJ5+/kSB2NiEhvsGgR1WOCIGB0pybYMa0zmvx5KfGVlSew5dQtXkokIlIDFi0iQqvGlvhleteKbyW+v/Mi3tp+Do9KlVJHIyLSaSxaRAQAsDQxxLej22N+f6/HE5yevYshK2KQkl0odTQiIp3FokVEFQRBwJQezbDlzU6wNTPClYx8BC2Pxm8X06WORkSkk1i0iKiKgGYNsX9mV3R0s0FBSTmmbD6LhfsSUaZUSR2NiEinsGgR0RPZWxhjy0R/TOreFACw5lgKRq45icy8YomTERHpDhYtInoqQ7kM7w1oiVVvtIe5kQFibz7EwGXHcPLGfamjERHpBBYtIvpHL7VyxC8zusLL0RzZBaUY9d0pziZPRFQNLFpEVC3utg2wc1oXDGnbGMo/Z5OfvjUeBSXlUkcjItJaLFpEVG0mCjmWvuqLjwf7wFAuYN+FdASHx+D6vQKpoxERaSUWLSKqEUEQMCbADdsmBcDBwgjXsgoQHBaDA4mZUkcjItI6LFpEVCvtm1hj74xu6Ohmg/yScry5MQ7fHLgKlYr3bRER/YVFi4hqzc7cCFsm+iMkoAkA4KsDyZi8+Qzyi8skTkZEpB1YtIjouRjKZfjP4FZY/MoLUMhliEzMRHB4DG7wvi0iIhYtIlKPV/1c8OOUADhaGOP6vUIEh8fgaPI9qWMREUmKRYuI1KaNixV+mdEF7VytkFdcjrHrTnO+LSKq11i0iEit7M2N8cOkTnjVzxkqEfh032W8tf0cisuUUkcjIqpzLFpEpHZGBnIsGvYCPgryhlwmYMfZuxix5iTu5ZdIHY2IqE6xaBGRRgiCgLFd3LFxfEdYmhgiPjUHg8OicTk9T+poRER1hkWLiDSqS3Nb7Artgqa2DZCWW4xhK49zclMiqjdYtIhI4/5aJ7Fzs4YoKlVi4qY4fHv0Om+SJyK9x6JFRHXC0tQQG8Z3xEh/V4gi8Nn+K3h/10WUK1VSRyMi0hgWLSKqM4ZyGRYGt8KCQd4QBGDrqVRM2BCHgpJyqaMREWkEixYR1SlBEDChqztWvdEexoYyHEm+h+GrTiA995HU0YiI1I5Fi4gk0c/HERGTAmBrpsDl9DwMCT+OxDR+I5GI9AuLFhFJxtfFCjundUFzezNk5BXj1dUncOwql+0hIv3BokVEknKxMcXPUzqjU1MbFJSUY9y6WGyPuy11LCIitWDRIiLJ/fWNxMFtnFCuEvHOT+fxzYGrnP6BiHQeixYRaQUjAzm+erUNpvZsBgD46kAy5v98gdM/EJFOY9EiIq0hkwn410te+CS4FWQCEBF3G1O3nOWC1ESks1i0iEjrjO7UBKveaA+FgQyRiZmYsCEWhZxri4h0EIsWEWmlvj6OWD+2A0wVcsRcu4831p5CTlGp1LGIiGqERYuItFbn5rbY8qY/LE0MEZ+ag9e/PYms/GKpYxERVRuLFhFptbau1vhxcgDszI1wJSMfw1edwO0HRVLHIiKqFhYtItJ6LRzN8dOUADhbm+DW/SIMW3kcVzI4izwRaT8WLSLSCU0aNsDPUzvDy9EcWfkleHXVCcTefCB1LCKiZ2LRIiKd4WBhjIhJAfBrYo284nK88d0pHLySKXUsIqKnYtEiIp1iaWqITRP80dvLHiXlKkzceAa7E+5KHYuI6IlYtIhI55go5Fg9uj2GtmsMpUrE7IgE/Mj1EYlIC7FoEZFOMpTL8N9XfDHK3xWiCMz76Tw2nbwldSwiokpYtIhIZ8lkAj4NboXxXdwBAAt2XcR3x25InIqI6P+xaBGRThMEAQsGtaxYjPrTfZcRfuiaxKmIiB5j0SIinScIAub1a4E5gZ4AgCW/J7FsEZFWYNEiIr0gCAJmBXrgnX4tADwuWysOs2wRkbRYtIhIr4T2ao63+z4+s7X4tySsOnJd4kREVJ+xaBGR3pne2wNzX3xctr749Qq+PcqyRUTSYNEiIr00s49HxT1bn+2/gjVH+W1EIqp7LFpEpLdmBXpgVh8PAMDC/Zc59QMR1TkWLSLSa7MDPTCzd3MAj6d+YNkiorrEokVEek0QBMx50bNS2VobnSJxKiKqL1i0iEjv/VW2ZvxZtj7Zm4jvWbaIqA6waKnRkCFDYG1tjVdeeUXqKET0PwRBwNwXPTG91+Oy9fHeRGw4flPaUESk91i01GjWrFnYuHGj1DGI6CkEQcBbfT0x7c/lej785RI2cyFqItIgFi016tmzJ8zNzaWOQUTPIAgC3unXApO7NwUA/HvXRWw7nSpxKiLSV5IXLTc3NwiCUOUnNDRUbcc4evQogoKC4OTkBEEQsGvXrifuFx4eDjc3NxgbG8Pf3x+nT59WWwYi0h6CIGB+fy+M7+IOAHh35wVsj7stcSoi0keSF63Y2Fikp6dX/ERGRgIAhg8f/sT9Y2JiUFZWVmV7YmIiMjMzn/icwsJC+Pr6Ijw8/Kk5IiIiMHfuXHz44Yc4e/YsfH190a9fP2RlZVXs06ZNG7Rq1arKT1paWk3eMhFpAUEQsGBQS4QENIEoAvN+Po9d8XeljkVEesZA6gB2dnaVfv/iiy/QrFkz9OjRo8q+KpUKoaGh8PDwwLZt2yCXywEASUlJ6N27N+bOnYt58+ZVeV7//v3Rv3//Z+ZYunQpJk6ciHHjxgEAVq1ahX379uH777/H/PnzAQAJCQm1eYtEpKUEQcBHL/ugXCViy6lUvLX9HEwVcvT1cZQ6GhHpCcnPaP1daWkpNm/ejPHjx0MQhCqPy2Qy7N+/H/Hx8RgzZgxUKhWuX7+O3r17Izg4+Iklq7rHPXPmDAIDAysdKzAwECdOnKj1+3ma8PBweHt7o0OHDmp/bSKqGUEQ8MngVhjarjGUKhHTt8Yj5lq21LGISE9oVdHatWsXcnJyMHbs2Kfu4+TkhIMHDyI6OhojR45E7969ERgYiJUrV9b6uNnZ2VAqlXBwcKi03cHBARkZGdV+ncDAQAwfPhz79++Hs7PzU0taaGgoEhMTERsbW+vMRKQ+MpmAxcNeQD8fB5QqVZi4MQ5nUx9KHYuI9IBWFa21a9eif//+cHJyeuZ+rq6u2LRpEyIiImBgYIC1a9c+8QxYXTtw4ADu3buHoqIi3LlzBwEBAVJHIqJqMpDLsGxEW3TzsEVRqRJjvz+Ny+l5UsciIh2nNUXr1q1bOHDgAN58881/3DczMxOTJk1CUFAQioqKMGfOnOc6tq2tLeRyeZWb6TMzM+HoyHs1iOoLIwM5Vo9uj/ZNrJFXXI7Ra0/jZnah1LGISIdpTdFat24d7O3tMXDgwGful52djT59+qBly5bYsWMHoqKiEBERgbfffrvWx1YoFGjfvj2ioqIqtqlUKkRFRfGsFFE9Y6owwPdjO8C7kQWyC0ow5vvTyMorljoWEekorShaKpUK69atQ0hICAwMnv5FSJVKhf79+6NJkyYVlw29vb0RGRmJdevW4auvvnri8woKCpCQkFDxrcGUlBQkJCQgNfX/JymcO3cu1qxZgw0bNuDy5cuYOnUqCgsLK76FSET1h6WJITaM74gmDU2R+qAIIetikfuo6rQyRET/RBBFUZQ6xB9//IF+/fohKSkJnp6ez9w3MjIS3bp1g7GxcaXt8fHxsLOzg7Ozc5XnHD58GL169aqyPSQkBOvXr6/4PSwsDEuWLEFGRgbatGmDZcuWwd/fv3Zvqhry8vJgaWmJ3NxcWFhYaOw4RFQ7qfeLMGzVcdzLL0FHdxtsHN8RxoZyqWMRkcRq8vmtFUWrvmLRItJ+iWl5eG31CeSXlONFbwesHNUOBnKtuBhARBKpyec3/7YgInoGbycLfBfiB4WBDJGJmXhv5wXw36dEVF0sWkRE/8C/aUOEjWgLmQD8GHcHSyOTpY5ERDqCRYuIqBr6+jhi4ZDWAIDlB69h08lbEiciIl3AokVEVE0jOrpidqAHAOCD3Rfx28XqrxxBRPUTixYRUQ3M6uOBER1dIIrAzG3xiL35QOpIRKTFWLSIiGrgr0WoA1s6oLRchQnrY5GcmS91LCLSUixaREQ1ZCCXYfmIthVL9YR8fxppOY+kjkVEWohFi4ioFkwUcnw3xg/N7BogPbcYId+fRm4RZ48nosqeq2hdu3YNv//+Ox49evwvOc4tQ0T1iXUDBTZO8IeDhRGuZhXgzY2xKC5TSh2LiLRIrYrW/fv3ERgYCE9PTwwYMADp6ekAgAkTJuCtt95Sa0AiIm3W2MoEG8Z3hLmxAWJvPsTMH+JRrlRJHYuItEStitacOXNgYGCA1NRUmJqaVmx/7bXX8Ntvv6ktHBGRLvBytMCaMY9nj/8jMRMf/HKJZ/iJCEAti9Yff/yBRYsWVVnA2cPDA7ducRI/Iqp/OjVtiGWvt4EgAFtPpWLF4etSRyIiLVCrolVYWFjpTNZfHjx4ACMjo+cORUSki15q1QgfDvIGACz5PQk74+9InIiIpFarotWtWzds3Lix4ndBEKBSqbB48WL06tVLbeGIiHTN2C7umNjNHQAw76fzOH4tW+JERCQlg9o8afHixejTpw/i4uJQWlqKefPm4dKlS3jw4AFiYmLUnZGISKe8278l0nKLse98OiZvOoPtUwPg5WghdSwikkCtzmi1atUKycnJ6Nq1KwYPHozCwkIMHToU8fHxaNasmbozEhHpFJlMwJfDfdHRzQb5JeUYty4WGbnFUsciIgkIIr8aI5m8vDxYWloiNzcXFhb81y6RvskpKsWwlcdx/V4hWjaywPYpATAzqtWFBCLSIjX5/K7VGa3mzZvjo48+wtWrV2sVkIioPrAyVWD9uI6wNVPgcnoeQrec5RxbRPVMrYpWaGgo9u3bhxYtWqBDhw745ptvkJGRoe5sREQ6z8XGFN+FdICxoQxHku/hQ86xRVSv1HrC0tjYWFy5cgUDBgxAeHg4XFxc0Ldv30rfRiQiIqCNixW+eb0tBAHYcioV3x69IXUkIqojartH6+TJk5g6dSrOnz8PpZJrfVUH79Eiql++j07Bx3sTAQDhI9th4AuNJE5ERLVRk8/v574r8/Tp09i6dSsiIiKQl5eH4cOHP+9LEhHppfFd3ZH6oAjrj9/EnB8T0MjKGO1craWORUQaVKtLh8nJyfjwww/h6emJLl264PLly1i0aBEyMzOxbds2dWckItIbCwZ5I7ClPUrLVZi0MQ63HxRJHYmINKhWlw5lMhk6dOiAkSNH4vXXX4eDg4Mmsuk9Xjokqp8KS8oxfNUJJKbnwdPBDD9N7QwLY0OpYxFRNdXk87tWRevq1avw8PCodUB6jEWLqP5Kz32EwWExyMovQXdPO3wf4gcDea0uMhBRHdP4PFosWUREz6eRpQnWhnSAiaEcR5Pv4aM9nPaBSB9Vu2jZ2NggO/vx4qjW1tawsbF56g8REf2z1s6W+Pr1NhAEYPPJVHwfc1PqSESkZtX+1uFXX30Fc3Pziv8WBEFjoYiI6ot+Po54t78XPtt/BZ/uS0QTG1MEevO+VyJ9wbUOJcR7tIgIAERRxHs7L+CH07dhqpDjx8kBaNXYUupYRPQUGr9HSy6XIysrq8r2+/fvQy6X1+YliYjqLUEQ8PHgVuja3BZFpUpM2BCLjNxiqWMRkRrUqmg97SRYSUkJFArFcwUiIqqPDOUyhI9qBw97M2TmlWDChlgUlpRLHYuInlONZoZftmwZgMf/+vruu+9gZmZW8ZhSqcTRo0fh5eWl3oRERPWEpYkhvh/bAcHhMbiUlodZ2+KxerQf5DLeE0ukq2p0j5a7uzsA4NatW3B2dq50mVChUMDNzQ0ff/wx/P391Z9UD/EeLSJ6krOpDzHi25MoKVdhcvemeHdAS6kjEdHfaGytw5SUFABAr169sGPHDlhbc40uIiJ1a+dqjSXDfTHzh3isPnoDzezN8Kqfi9SxiKgWanWP1qFDh1iyiIg06GVfJ8zs83hy6Pd3XsDplAcSJyKi2qhV0Ro2bBgWLVpUZfvixYsxfPjw5w5FRETA7D4eGNi6EcqUIiZvikPqfS5ATaRralW0jh49igEDBlTZ3r9/fxw9evS5QxERESCTCfjvcF+0bmyJh0VlmLAhFvnFZVLHIqIaqFXRKigoeOI0DoaGhsjLy3vuUERE9JiJQo41Y/zgYGGEq1kFmPFDPJQqzjNNpCtqVbRat26NiIiIKtu3bdsGb2/v5w5FRET/z9HSGN+N6QBjQxkOJ93Dot+uSB2JiKqpRt86/MuCBQswdOhQXL9+Hb179wYAREVF4YcffsD27dvVGpCIiB4vQL3kFV/M+CEe3x69AU8Hc7zS3lnqWET0D2p1RisoKAi7du3CtWvXMG3aNLz11lu4c+cODhw4gODgYDVHJCIiAAjydcLM3s0BAO/tuIAzt/hNRCJtx0WlJcQJS4moplQqEVO3nMHvlzJha6bA7uld0djKROpYRPWKxheVBoCcnBx89913eO+99/DgweN/VZ09exZ3796t7UsSEdE/kMkELH21DVo2skB2QSkmbohDUSnXRCTSVrUqWufPn4enpycWLVqEJUuWICcnBwCwY8cOvPvuu+rMR0RE/6OBkQHWjGkPWzMFEtPzMO+n8+DFCSLtVKuiNXfuXIwdOxZXr16FsbFxxfYBAwZwHi0iojrgbG2KFaPaw0AmYO/5dKw8cl3qSET0BLUqWrGxsZg8eXKV7Y0bN0ZGRsZzhyIion/W0d0G/xnsAwBY8nsSDl3JkjgREf2vWhUtIyOjJ05MmpycDDs7u+cORURE1TPKvwlG+rtCFIGZ2+Jx416B1JGI6G9qVbRefvllfPzxxygre7wUhCAISE1Nxb/+9S8MGzZMrQGJiOjZPgryQQc3a+QXl2Pixjgu00OkRWpVtL788ksUFBTA3t4ejx49Qo8ePdC8eXOYm5tj4cKF6s5IRETPoDCQYcWo9mhkaYzr9woxe1sCVFymh0grPNc8WtHR0Th//jwKCgrQrl07BAYGqjOb3uM8WkSkTufv5GD4qhMoKVdheq/meLtfC6kjEemlmnx+c8JSCbFoEZG67Yq/i9kRCQCAsJFtMegFJ2kDEemhmnx+V3utw2XLlmHSpEkwNjbGsmXLnrmvmZkZfHx84O/vX92XJyIiNQhu2xiJ6Xn49ugNvLP9PNxtG8DHyVLqWET1VrXPaLm7uyMuLg4NGzaEu7v7M/ctKSlBVlYW5syZgyVLlqglqD7iGS0i0gSlSsTYdadx7Go2GluZ4JfpXdDQzEjqWER6QysuHUZGRmLkyJG4d++eJl5eL7BoEZGm5BaVYXB4NG7eL4K/uw02v+kPQ3mtV10jor+pk7UO/0nXrl3x73//W1MvT0REz2Bpaohvx/ihgUKOUykPsHDfZakjEdVLtS5aUVFRGDRoEJo1a4ZmzZph0KBBOHDgQMXjJiYmmDVrllpCEhFRzXk6mOOr19oAANYfv4mfz9yRNhBRPVSrorVixQq89NJLMDc3x6xZszBr1ixYWFhgwIABCA8PV3dGIiKqpb4+jpjZxwMA8O7OC7hwJ1fiRET1S63u0XJ2dsb8+fMxffr0StvDw8Px2Wef4e7du2oLqM94jxYR1QWVSsTEjXGIupIFJ0tj/DKjK2x5czxRrWn8Hq2cnBy89NJLVbb37dsXubn81xIRkTaRyQR89XobNLVtgLTcYoRuOYsypUrqWET1Qq3XOty5c2eV7bt378agQYOeOxQREamXhbEhVo9uX3Fz/LyfziOPayISaVyNJiz9i7e3NxYuXIjDhw8jICAAAHDy5EnExMTgrbfeUn9KIiJ6bh4O5lj6WhtM3nQGO+PvIuZaNj4I8sbA1o0gCILU8Yj0Uo0mLK3WCwoCbty48Vyh6gveo0VEUoi+mo0Fuy8iJbsQANDd0w6fDPZBk4YNJE5GpBvqbMLS7OxsAICtrW1tX6JeY9EiIqkUlymx6sh1rDh0HaVKFRQGMnwxtDWGtnOWOhqR1tPozfA5OTkIDQ2Fra0tHBwc4ODgAFtbW0yfPh05OTm1zUxERHXI2FCO2YGe+H1Od3RtbovSchXm/ngOXx9IhoYWDCGql2p0RuvBgwcICAjA3bt3MWrUKLRs2RIAkJiYiK1bt8LFxQXHjx+HtbW1xgLrE57RIiJtoFKJWPx7ElYduQ4AGNquMb4Y+gIUBlyyh+hJNHbpcPbs2YiKisKBAwfg4OBQ6bGMjAz07dsXffr0wVdffVW75PUMixYRaZMfTqfi37suQqkS0ampDVa/4QdLU0OpYxFpHY1dOty1axf++9//VilZAODo6IjFixc/cdoHIiLSfiM6uuL7sR1gZmSAkzceIHhFDC7e5dyIRM+jRkUrPT0dPj4+T328VatWyMjIeO5QREQkjR6edtg+JQBOlsZIyS7EkBUx+O7YDd63RVRLNSpatra2uHnz5lMfT0lJgY2NzfNmIiIiCbVsZIH9s7qhr7cDypQiPt13GePXxyK7oETqaEQ6p0ZFq1+/fnj//fdRWlpa5bGSkhIsWLDgiUvzEBGRbrEyVWD16Pb4ZLAPFAYyHEq6h/7fHMOxq/ekjkakU2p0M/ydO3fg5+cHIyMjhIaGwsvLC6Io4vLly1ixYgVKSkoQFxcHFxcXTWbWG7wZnoh0wZWMPEzfGo9rWQUAgPFd3DHvpRYwNpRLnIxIGhqdsDQlJQXTpk3DH3/8UXHNXhAEvPjiiwgLC0Pz5s1rn7yeYdEiIl3xqFSJhfsTsflkKgDAy9EcX7/eBl6O/LuL6p86mRn+4cOHuHr1KgCgefPmvDerFli0iEjXRF3OxLyfzuN+YSkUBjLMf8kL47q4ca1EqlfqbAkeej4sWkSki+7ll+BfP5/HwStZAIB+Pg5Y/IovLE045xbVDxpdgoeIiOo3O3MjrA3xw8eDfaCQy/D7pUy8HBaNS2mcc4vof7FoERFRjQmCgDEBbtg+JQCNrUxw634Rhqw4jm2nUznnFtHfsGgREVGt+bpYYd/MrujtZY/SchXm77iAd3dcQGm5SupoRFqBRYuIiJ6LlakC343xwzv9WkAQgG2xtzHm+1PIKao65yJRfcOiRUREz00mExDaqznWhvihgUKOkzceYMiK47hxr0DqaESSYtEiIiK16e3lgJ+ndUZjKxOkZBciODwGMdeypY5FJBkWLSIiUisvRwvsnt4F7VytkFdcjpDvT2P/hXSpYxFJgkWLiIjUztbMCFsndkKQrxPKVSJm/BCP3Ql3pY5FVOdYtIiISCOMDeX4+rU2eKW9M5QqEbMjErA97rbUsYjqFIsWERFpjFwmYPGwFzDS3xWiCLzz03lsPZUqdSyiOsOiRUREGiWTCVgY3ApjO7sBAN7beQHfR6dIG4qojrBoERGRxgmCgA+DvDGpe1MAwMd7E/HlH0mcRZ70HosWERHVCUEQ8G5/L7z1oicAYPnBa3h/10UoVSxbpL9YtIiIqM4IgoAZfTzwaXArCAKw9VQqpm89i5JypdTRiDSCRYuIiOrcG52aIHxkOyjkMvx6MQPj1sUi91GZ1LGI1I5Fi4iIJDGgdSOsG9cBDRRyHL9+H0NWxCAlu1DqWERqxaJFRESS6dLcFhGTA9DI0hg37hVicFg0jl29J3UsIrVh0SIiIkm1amyJ3dO7oO2fS/aMXReLdTEp/EYi6QUWLSIikpy9uTF+mNgJQ9s1hlIl4j97EjHvp/N4VMqb5Em3sWgREZFWMDaU48vhvnhvgBcEAdh+5g6Cw2NwLatA6mhEtcaiRUREWkMQBEzq3gybJ/jD1kyBpMx8vBwWjV3xXJCadBOLFhERaZ0uzW2xf2Y3BDRtiKJSJWZHJOBfvJRIOohFi4iItJK9hTE2v+mPWX08IAhARNxtDFp+DJfScqWORlRtLFpERKS15DIBc170xJYJ/rA3N8L1e4UYEn4ca6NToOLSPaQDWLSIiEjrdW5ui99md0dgSweUKlX4ZG8ixq2Pxb38EqmjET0TixYREekEmwYKrBnTHp8Et4KRgQxHku9hwLJjiLv5QOpoRE/FokVERDpDEASM7tQEe2Z0RQsHc9zLL8GINSex5dQtqaMRPRGLFhER6RxPB3PsmNYZA1o7okwp4v2dF/HujgsoKee3Ekm7sGgREZFOamBkgPCR7TDvpRYQBOCH06kY8e1JZOUVSx2NqAKLFhER6SxBEDCtZ3N8P7YDLIwNcDY1By+HxeDCHU4BQdqBRYuIiHRerxb22D29K5rbmyEjrxjDVx/HnnNpUsciYtEiIiL94G7bADumdUavFnYoLlNhxg/x+O/vSZxviyTFokVERHrDwtgQ34V0wOTuTQEAYYeuYfLmMygoKZc4GdVXLFpERKRX5DIB7w5oiS+H+0IhlyEyMRNDV8Tg1v1CqaNRPcSipUZDhgyBtbU1XnnlFamjEBHVe8PaO2Pb5E6wNzdCcmYBXg6LQfTVbKljUT3DoqVGs2bNwsaNG6WOQUREf2rnao09M7rC18UKuY/KMOb7U1gbnQJR5H1bVDdYtNSoZ8+eMDc3lzoGERH9jYOFMSImdcKwds5QicAnexPx1vZzKC7j5KakeVpRtO7evYs33ngDDRs2hImJCVq3bo24uDi1vf7Ro0cRFBQEJycnCIKAXbt2PXG/8PBwuLm5wdjYGP7+/jh9+rTaMhARkXSMDeX47/AX8O+BLSETgB1n7+LV1SeQlvNI6mik5yQvWg8fPkSXLl1gaGiIX3/9FYmJifjyyy9hbW39xP1jYmJQVlZWZXtiYiIyMzOf+JzCwkL4+voiPDz8qTkiIiIwd+5cfPjhhzh79ix8fX3Rr18/ZGVlVezTpk0btGrVqspPWhrnaiEi0naCIODNbk2xaYI/rE0Ncf5OLl4Oi8apG/eljkZ6TBAlvlA9f/58xMTE4NixY/+4r0qlQrt27eDh4YFt27ZBLpcDAJKSktCjRw/MnTsX8+bNe+ZrCIKAnTt3Ijg4uNJ2f39/dOjQAWFhYRXHcnFxwYwZMzB//vxqv5/Dhw8jLCwMP/3001P3CQ8PR3h4OJRKJZKTk5GbmwsLC4tqH4OIiJ7P7QdFmLTpDC6n58FAJuCDIG+M7tQEgiBIHY10QF5eHiwtLav1+S35Ga1ffvkFfn5+GD58OOzt7dG2bVusWbPmifvKZDLs378f8fHxGDNmDFQqFa5fv47evXsjODj4H0vW05SWluLMmTMIDAysdKzAwECcOHGiVq/5LKGhoUhMTERsbKzaX5uIiP6Zi40pdkztjCBfJ5SrRHyw+xLm/8xFqUn9JC9aN27cwMqVK+Hh4YHff/8dU6dOxcyZM7Fhw4Yn7u/k5ISDBw8iOjoaI0eORO/evREYGIiVK1fWOkN2djaUSiUcHBwqbXdwcEBGRka1XycwMBDDhw/H/v374ezsrJGSRkRE6mGikGPZ623wbn8vyAQgIu42F6UmtTOQOoBKpYKfnx8+++wzAEDbtm1x8eJFrFq1CiEhIU98jqurKzZt2oQePXqgadOmWLt2rVac7j1w4IDUEYiIqAYEQcDkHs3QwtEcM36Ir1iUevXo9vB1sZI6HukByc9oNWrUCN7e3pW2tWzZEqmpqU99TmZmJiZNmoSgoCAUFRVhzpw5z5XB1tYWcrm8ys30mZmZcHR0fK7XJiIi7dezhT12h3ZBM7sGfy5KfQI/nbkjdSzSA5IXrS5duiApKanStuTkZDRp0uSJ+2dnZ6NPnz5o2bIlduzYgaioKERERODtt9+udQaFQoH27dsjKiqqYptKpUJUVBQCAgJq/bpERKQ7mtqZYVdoF/TxskdpuQpvbz+HD3ZfRGm5SupopMMkL1pz5szByZMn8dlnn+HatWvYunUrvv32W4SGhlbZV6VSoX///mjSpAkiIiJgYGAAb29vREZGYt26dfjqq6+eeIyCggIkJCQgISEBAJCSkoKEhIRKZ83mzp2LNWvWYMOGDbh8+TKmTp2KwsJCjBs3TiPvm4iItI+5sSHWjPHDzD4eAICNJ25h1He8b4tqT/LpHQBg7969ePfdd3H16lW4u7tj7ty5mDhx4hP3jYyMRLdu3WBsbFxpe3x8POzs7ODs7FzlOYcPH0avXr2qbA8JCcH69esrfg8LC8OSJUuQkZGBNm3aYNmyZfD393++N/cMNfl6KBER1a0DiZmYE5GA/JJy2JsbYeUb7dC+iY3UsUgL1OTzWyuKVn3FokVEpN1SsgsxeVMckjMLYCgX8P6Algjp7KYVX8Ai6ejUPFpERETayt22AXZO64KBLzRCmVLER3sSMXNbAgpLyqWORjqCRYuIiOgZGhgZIGxEWywY5A0DmYA959IwODwG17LypY5GOoBFi4iI6B8IgoAJXd2xbVInOFgY4VpWAV4Oi8Gec1zrlp6NRYuIiKia/NxssG9mN3Ru1hBFpUrM+CEen/96GUoVb3emJ2PRIiIiqgFbMyNsmuCPKT2aAQBWH7mBsetOI6eoVOJkpI1YtIiIiGpILhMwv78Xlo9oC2NDGY5dzcbg8BgkZfC+LaqMRYuIiKiWgnydsGNqFzhbm+DW/SIMWRGD3y6mSx2LtAiLFhER0XPwdrLAL9O7Vty3NWXzWSz9Iwkq3rdFYNEiIiJ6bjYNFNg4viMmdHUHACw7eA2TNsUhv7hM4mQkNRYtIiIiNTCQy7BgkDe+HO4LhYEMBy5nITg8BtfvFUgdjSTEokVERKRGw9o746cpAWhkaYzr9woRHBaDyMRMqWORRFi0iIiI1OwFZyv8Mr0rOrhZI7+kHBM3xmHpH0mcb6seYtEiIiLSADtzI2yd2AljO7sBeHzf1oQNscgt4n1b9QmLFhERkYYYymX46GUffPWaL4wNZTicdA9BYdG4nJ4ndTSqIyxaREREGjakrTN+ntoZztYmSH3weL6t3Ql3pY5FdYBFi4iIqA74OFli74yu6O5ph+IyFWZtS8B/9lxCmVIldTTSIBYtIiKiOmJlqsC6sR0wvVdzAMC6mJsYteYUsvKLJU5GmsKiRUREVIfkMgFv92uBb0e3h5mRAU7ffICg5dFIuJ0jdTTSABYtIiIiCfT1ccTu6V3Q3N4MmXkleHX1Cfx85o7UsUjNWLSIiIgk0szODLtCu+BFbweUlqvw1vZz+HhPIsp535beYNEiIiKSkJmRAVa/0R4z+3gAAL6PSUHIutN4WFgqcTJSBxYtIiIiiclkAua+6IlVb7SDqUKOmGv3MTg8BkkZ+VJHo+fEokVERKQlXmrVCDumdYaLzf/Pt/XbxQypY9FzYNEiIiLSIl6OFvgltCs6N2uIolIlpmw+g68ik6HiOok6iUWLiIhIy1g3UGDj+I4Y38UdAPBN1FVM2XwGBSXlEiejmmLRIiIi0kIGchk+CPLGkldegEIuwx+JmQgOj8GNewVSR6MaYNEiIiLSYsP9XBAxuRMcLIxwLasAg8NiEHU5U+pYVE0sWkRERFquras19szoCr8m1sgvKcebG+OwLOoq79vSASxaREREOsDe3BhbJ3bCG51cIYrA0shkTN58BvnFZVJHo2dg0SIiItIRCgMZPg1ujUXDWkMhlyEyMRODw2NwLYv3bWkrFi0iIiId81oHV0RM7gRHC2PcuFeI4PAY/H6J821pIxYtIiIiHfTXfVsd3W1QUFKOyZvOYMnvV6DkfVtahUWLiIhIR9mZG2HLm/4V822FH7qOcetjuU6iFmHRIiIi0mGGf8639fVrbWBsKMPR5HsICovGxbu5UkcjsGgRERHpheC2jbFzWhc0aWiKOw8fYejK4/gx7rbUseo9Fi0iIiI90bKRBX6Z3hV9vOxRWq7CvJ/O490dF1BcppQ6Wr3FokVERKRHLE0MsWaMH+a+6AlBAH44nYpXV5/A7QdFUkerl1i0iIiI9IxMJmBmHw+sH9cRVqaGOH8nF0Fh0TiclCV1tHqHRYuIiEhP9fC0w94ZXeHrbImcojKMWx+LpZHJnAKiDrFoERER6TFna1P8OCWgYumeZVFXMXbdadwvKJE6Wr3AokVERKTnjAzk+DS4NZa+6gtjQxmOXc3GwGXROHPrgdTR9B6LFhERUT0xtJ0zdod2RVO7BsjIK8Zrq09ibXQKRJGXEjWFRYuIiKgeaeFojl+md8WgFxqhXCXik72JCN16FgUl5VJH00ssWkRERPWMmZEBlo9oi48H+8BQLmD/hQwMDovGtawCqaPpHRYtIiKiekgQBIwJcEPE5AA4Whjj+r1CDA6Lxq8X0qWOpldYtIiIiOqxdq7W2DOjK/zdbVBYqsTULWfx+a+XUa5USR1NL7BoERER1XN25kbY8qY/3uzqDgBYfeQGxnx/GtmcAuK5sWgRERERDOQy/HuQN8JGtoWpQo7j1+9j0LJonE19KHU0ncaiRURERBUGveCE3aFd/jYFxAlsOnGTU0DUEosWERERVeLhYI7doV3Qv5UjypQiFuy+hLk/nkNRKaeAqCkWLSIiIqrC3NgQK0a1w/sDWkIuE7Az/i6GhB/H9XucAqImWLSIiIjoiQRBwMTuTbHlTX/YmRshKTMfLy+Pxr7znAKiuli0iIiI6Jk6NW2IfX+bAiJ061n8Z88llJZzCoh/wqJFRERE/8jewhhb3vTH1J7NAADrYm7i1dUncOdhkcTJtBuLFhEREVWLgVyGf73khTVj/GBhbICE2zkYuCwaUZczpY6mtVi0iIiIqEZe9HbAvpnd4OtihdxHZZiwIQ6f7b+MMs4mXwWLFhEREdWYi40ptk8OwLgubgCAb4/ewGurT+BuziNpg2kZFi0iIiKqFYWBDB8G+WDVG+1hbmyAs6k5GPDNMfxxKUPqaFqDRYuIiIiey0utHLF/Zjf4Olsi91EZJm06g//suYSScqXU0STHokVERETPzcXGFNundK5YmHpdzE28svIEbt0vlDiZtFi0iIiISC0UBo8Xpl4b4gcrU0NcuJuLQcui8euF+jvBKYsWERERqVWflg74dVY3+DWxRn5JOaZuOYuPfqmflxJZtIiIiEjtGlma4IdJnTClx+MJTtcfv4nhq04g9X79muCURYuIiIg0wlAuw/z+Xlg3tgOsTA1x/k4uBi4/Vq8uJbJoERERkUb18rLH/pnd0L6JNfKLH19K/GD3RRSX6f+lRBYtIiIi0jgnKxNsm9SpYq3EjSduYeiK47hxr0DiZJrFokVERER1wvDPtRLXj+uAhg0USEzPw6Dl0dgVf1fqaBrDokVERER1qmcLe+yf1Q2dmtqgqFSJ2REJeHv7ORSWlEsdTe1YtIiIiKjOOVgYY8ubnTA70AMyAfjpzB0EhUXjUlqu1NHUikWLiIiIJCGXCZgd6IkfJnaCo4UxbtwrxJDw49hw/CZEUZQ6nlqwaBEREZGk/Js2xK+zuiGwpT1KlSp8+MslTNp0Bg8LS6WO9txYtIiIiEhy1g0UWDPGDx8GeUMhlyEyMRMDlh3DqRv3pY72XFi0iIiISCsIgoBxXdyxY1pnNLVtgPTcYoxYcxJLI5NRrlRJHa9WWLSIiIhIq7RqbIk9M7pieHtnqERgWdRVjFhzEmk5j6SOVmMsWkRERKR1GhgZYMlwX3zzehuYGRkg9uZD9P/mGP64lCF1tBph0SIiIiKtNbhNY+yb2RW+zpbIfVSGSZvO6NTyPSxaREREpNWaNGyA7VM6Y1L3pgAeL98THB6Da1nav3wPixYRERFpPYWBDO8NaFmxfM+VjHwMWn4M206navWcWyxaREREpDN6trDHr7O6oWtzWxSXqTB/xwWEbj2L3KIyqaM9EYsWERER6RR7C2NsHN8R7/b3goFMwP4LGRiw7Bhibz6QOloVLFpERESkc2QyAZN7NMPPUzujSUNT3M15hNdWn8CXfyShTIvm3GLRIiIiIp3l62KFfTO7YWi7xlCJwPKD1/DKqhNIyS6UOhoAFi0iIiLScWZGBlj6ahuEjWwLC2MDnLudg4HLtONGeRYtIiIi0guDXnDCb7O7I6BpQxSVKjF/xwXM2pYgadli0SIiIiK94WRlgi1v+uO9AV4wlAvwc7OGIAiS5TGQ7MhEREREGiCTCZjUvRkCWzrA3baBpFlYtIiIiEgvNbUzkzoCLx0SERERaQqLFhEREZGGsGgRERERaQiLFhEREZGGsGgRERERaQiLFhEREZGGsGgRERERaQiLFhEREZGGsGgRERERaQiLFhEREZGGsGgRERERaQiLFhEREZGGsGgRERERaYiB1AHqM1EUAQB5eXkSJyEiIqLq+utz+6/P8Wdh0ZJQfn4+AMDFxUXiJERERFRT+fn5sLS0fOY+glidOkYaoVKpkJaWBnNzcwiCoNbXzsvLg4uLC27fvg0LCwu1vjZVxrGuOxzrusOxrjsc67qjrrEWRRH5+flwcnKCTPbsu7B4RktCMpkMzs7OGj2GhYUF/8etIxzrusOxrjsc67rDsa476hjrfzqT9RfeDE9ERESkISxaRERERBrCoqWnjIyM8OGHH8LIyEjqKHqPY113ONZ1h2NddzjWdUeKsebN8EREREQawjNaRERERBrCokVERESkISxaRERERBrCokVERESkISxaeig8PBxubm4wNjaGv78/Tp8+LXUknff555+jQ4cOMDc3h729PYKDg5GUlFRpn+LiYoSGhqJhw4YwMzPDsGHDkJmZKVFi/fHFF19AEATMnj27YhvHWn3u3r2LN954Aw0bNoSJiQlat26NuLi4isdFUcQHH3yARo0awcTEBIGBgbh69aqEiXWTUqnEggUL4O7uDhMTEzRr1gyffPJJpbXyONa1c/ToUQQFBcHJyQmCIGDXrl2VHq/OuD548ACjRo2ChYUFrKysMGHCBBQUFKglH4uWnomIiMDcuXPx4Ycf4uzZs/D19UW/fv2QlZUldTSdduTIEYSGhuLkyZOIjIxEWVkZ+vbti8LCwop95syZgz179mD79u04cuQI0tLSMHToUAlT677Y2FisXr0aL7zwQqXtHGv1ePjwIbp06QJDQ0P8+uuvSExMxJdffglra+uKfRYvXoxly5Zh1apVOHXqFBo0aIB+/fqhuLhYwuS6Z9GiRVi5ciXCwsJw+fJlLFq0CIsXL8by5csr9uFY105hYSF8fX0RHh7+xMerM66jRo3CpUuXEBkZib179+Lo0aOYNGmSegKKpFc6duwohoaGVvyuVCpFJycn8fPPP5cwlf7JysoSAYhHjhwRRVEUc3JyRENDQ3H79u0V+1y+fFkEIJ44cUKqmDotPz9f9PDwECMjI8UePXqIs2bNEkWRY61O//rXv8SuXbs+9XGVSiU6OjqKS5YsqdiWk5MjGhkZiT/88ENdRNQbAwcOFMePH19p29ChQ8VRo0aJosixVhcA4s6dOyt+r864JiYmigDE2NjYin1+/fVXURAE8e7du8+diWe09EhpaSnOnDmDwMDAim0ymQyBgYE4ceKEhMn0T25uLgDAxsYGAHDmzBmUlZVVGnsvLy+4urpy7GspNDQUAwcOrDSmAMdanX755Rf4+flh+PDhsLe3R9u2bbFmzZqKx1NSUpCRkVFprC0tLeHv78+xrqHOnTsjKioKycnJAIBz584hOjoa/fv3B8Cx1pTqjOuJEydgZWUFPz+/in0CAwMhk8lw6tSp587ARaX1SHZ2NpRKJRwcHCptd3BwwJUrVyRKpX9UKhVmz56NLl26oFWrVgCAjIwMKBQKWFlZVdrXwcEBGRkZEqTUbdu2bcPZs2cRGxtb5TGOtfrcuHEDK1euxNy5c/Hee+8hNjYWM2fOhEKhQEhISMV4PunvFI51zcyfPx95eXnw8vKCXC6HUqnEwoULMWrUKADgWGtIdcY1IyMD9vb2lR43MDCAjY2NWsaeRYuohkJDQ3Hx4kVER0dLHUUv3b59G7NmzUJkZCSMjY2ljqPXVCoV/Pz88NlnnwEA2rZti4sXL2LVqlUICQmROJ1++fHHH7FlyxZs3boVPj4+SEhIwOzZs+Hk5MSx1nO8dKhHbG1tIZfLq3z7KjMzE46OjhKl0i/Tp0/H3r17cejQITg7O1dsd3R0RGlpKXJycirtz7GvuTNnziArKwvt2rWDgYEBDAwMcOTIESxbtgwGBgZwcHDgWKtJo0aN4O3tXWlby5YtkZqaCgAV48m/U57fO++8g/nz5+P1119H69atMXr0aMyZMweff/45AI61plRnXB0dHat8Yay8vBwPHjxQy9izaOkRhUKB9u3bIyoqqmKbSqVCVFQUAgICJEym+0RRxPTp07Fz504cPHgQ7u7ulR5v3749DA0NK419UlISUlNTOfY11KdPH1y4cAEJCQkVP35+fhg1alTFf3Os1aNLly5VpilJTk5GkyZNAADu7u5wdHSsNNZ5eXk4deoUx7qGioqKIJNV/siVy+VQqVQAONaaUp1xDQgIQE5ODs6cOVOxz8GDB6FSqeDv7//8IZ77dnrSKtu2bRONjIzE9evXi4mJieKkSZNEKysrMSMjQ+poOm3q1KmipaWlePjwYTE9Pb3ip6ioqGKfKVOmiK6uruLBgwfFuLg4MSAgQAwICJAwtf74+7cORZFjrS6nT58WDQwMxIULF4pXr14Vt2zZIpqamoqbN2+u2OeLL74QraysxN27d4vnz58XBw8eLLq7u4uPHj2SMLnuCQkJERs3bizu3btXTElJEXfs2CHa2tqK8+bNq9iHY107+fn5Ynx8vBgfHy8CEJcuXSrGx8eLt27dEkWxeuP60ksviW3bthVPnTolRkdHix4eHuKIESPUko9FSw8tX75cdHV1FRUKhdixY0fx5MmTUkfSeQCe+LNu3bqKfR49eiROmzZNtLa2Fk1NTcUhQ4aI6enp0oXWI/9btDjW6rNnzx6xVatWopGRkejl5SV+++23lR5XqVTiggULRAcHB9HIyEjs06ePmJSUJFFa3ZWXlyfOmjVLdHV1FY2NjcWmTZuK77//vlhSUlKxD8e6dg4dOvTEv59DQkJEUazeuN6/f18cMWKEaGZmJlpYWIjjxo0T8/Pz1ZJPEMW/TUtLRERERGrDe7SIiIiINIRFi4iIiEhDWLSIiIiINIRFi4iIiEhDWLSIiIiINIRFi4iIiEhDWLSIiIiINIRFi4iIiEhDWLSIiCTk5uaGr7/+WuoYRKQhLFpEVG+MHTsWwcHBAICePXti9uzZdXbs9evXw8rKqsr22NhYTJo0qc5yEFHdMpA6ABGRListLYVCoaj18+3s7NSYhoi0Dc9oEVG9M3bsWBw5cgTffPMNBEGAIAi4efMmAODixYvo378/zMzM4ODggNGjRyM7O7viuT179sT06dMxe/Zs2Nraol+/fgCApUuXonXr1mjQoAFcXFwwbdo0FBQUAAAOHz6McePGITc3t+J4H330EYCqlw5TU1MxePBgmJmZwcLCAq+++ioyMzMrHv/oo4/Qpk0bbNq0CW5ubrC0tMTrr7+O/Px8zQ4aEdUKixYR1TvffPMNAgICMHHiRKSnpyM9PR0uLi7IyclB79690bZtW8TFxeG3335DZmYmXn311UrP37BhAxQKBWJiYrBq1SoAgEwmw7Jly3Dp0iVs2LABBw8exLx58wAAnTt3xtdffw0LC4uK47399ttVcqlUKgwePBgPHjzAkSNHEBkZiRs3buC1116rtN/169exa9cu7N27F3v37sWRI0fwxRdfaGi0iOh58NIhEdU7lpaWUCgUMDU1haOjY8X2sLAwtG3bFp999lnFtu+//x4uLi5ITk6Gp6cnAMDDwwOLFy+u9Jp/v9/Lzc0Nn376KaZMmYIVK1ZAoVDA0tISgiBUOt7/ioqKwoULF5CSkgIXFxcAwMaNG+Hj44PY2Fh06NABwONCtn79epibmwMARo8ejaioKCxcuPD5BoaI1I5ntIiI/nTu3DkcOnQIZmZmFT9eXl4AHp9F+kv79u2rPPfAgQPo06cPGjduDHNzc4wePRr3799HUVFRtY9/+fJluLi4VJQsAPD29oaVlRUuX75csc3Nza2iZAFAo0aNkJWVVaP3SkR1g2e0iIj+VFBQgKCgICxatKjKY40aNar47wYNGlR67ObNmxg0aBCmTp2KhQsXwsbGBtHR0ZgwYQJKS0thamqq1pyGhoaVfhcEASqVSq3HICL1YNEionpJoVBAqVRW2tauXTv8/PPPcHNzg4FB9f96PHPmDFQqFb788kvIZI8vFPz444//eLz/1bJlS9y+fRu3b9+uOKuVmJiInJwceHt7VzsPEWkPXjokonrJzc0Np06dws2bN5GdnQ2VSoXQ0FA8ePAAI0aMQGxsLK5fv47ff/8d48aNe2ZJat68OcrKyrB8+XLcuHEDmzZtqrhJ/u/HKygoQFRUFLKzs594STEwMBCtW7fGqFGjcPbsWZw+fRpjxoxBjx494Ofnp/YxICLNY9Eionrp7bffhlwuh7e3N+zs7JCamgonJyfExMRAqVSib9++aN26NWbPng0rK6uKM1VP4uvri6VLl2LRokVo1aoVtmzZgs8//7zSPp07d8aUKVPw2muvwc7OrsrN9MDjS4C7d++GtbU1unfvjsDAQDRt2hQRERFqf/9EVDcEURRFqUMQERER6SOe0SIiIiLSEBYtIiIiIg1h0SIiIiLSEBYtIiIiIg1h0SIiIiLSEBYtIiIiIg1h0SIiIiLSEBYtIiIiIg1h0SIiIiLSEBYtIiIiIg1h0SIiIiLSkP8DI/o55oUiAAYAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(obj)\n",
-    "plt.xlabel(\"Iteration\")\n",
-    "plt.ylabel(\"Objective\")\n",
-    "plt.yscale(\"log\")\n",
-    "plt.show()\n",
-    "\n",
-    "plt.plot(error)\n",
-    "plt.xlabel(\"Iteration\")\n",
-    "plt.ylabel(\"Error\")\n",
-    "plt.yscale(\"log\")\n",
-    "plt.show()\n",
-    "\n",
-    "plt.plot(stepsize)\n",
-    "plt.xlabel(\"Iteration\")\n",
-    "plt.ylabel(\"Stepsize\")\n",
-    "plt.yscale(\"log\")\n",
-    "plt.show()\n",
-    "\n",
-    "plt.plot(sparsity)\n",
-    "plt.xlabel(\"Iteration\")\n",
-    "plt.ylabel(\"Shift sparsity\")\n",
-    "# plt.yscale(\"log\")\n",
-    "plt.show()\n",
-    "\n",
-    "if any(duality_gap):\n",
-    "    plt.plot(duality_gap)\n",
-    "    plt.xlabel(\"Iteration\")\n",
-    "    plt.ylabel(\"Duality gap\")\n",
-    "    plt.yscale(\"log\")\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 12 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# make subplot with condition specific parameter sets on the columns.\n",
-    "# on the first row, plot the observed func score on x and predicted func score on y (y_pred_fn(params, data)) \n",
-    "# on the second row, plot the predicted latent phenotype (φ_pred_fn(params, data)) on x and predicted function score (y_pred_fn(params, data))\n",
-    "y_pred = y_pred_fn(params, scaled_data)\n",
-    "φ_pred = φ_pred_fn(params, scaled_data)\n",
-    "fig, ax = plt.subplots(2, len(params['β'].keys()), figsize=(12, 6))\n",
-    "for i, d in enumerate(params['β'].keys()):\n",
-    "    sns.histplot(x=scaled_data[\"y\"][d], y=y_pred[d], bins=200, cmap=\"viridis\", cbar=True, cbar_kws={\"label\": \"count\"}, ax=ax[0, i])\n",
-    "    # add correlation\n",
-    "    ax[0, i].annotate(f\"Pearson $r={scipy.stats.pearsonr(scaled_data['y'][d], y_pred[d]).statistic:.2f}$\",\n",
-    "                    xy=(0.01, 0.95), xycoords=\"axes fraction\")\n",
-    "    # mean squared error\n",
-    "    mse = jnp.mean((scaled_data[\"y\"][d] - y_pred[d])**2)\n",
-    "    ax[0, i].annotate(f\"MSE = {mse:.2f}\",\n",
-    "                    xy=(0.01, 0.85), xycoords=\"axes fraction\")\n",
-    "    ax[0, i].plot([-6, 3], [-6, 3], \"k--\")\n",
-    "    ax[0, i].set_xlim(-6, 3)\n",
-    "    ax[0, i].set_ylim(-4, 2)\n",
-    "    ax[0, i].set_xlabel(\"observed functional score\")\n",
-    "    ax[0, i].set_ylabel(\"predicted functional score\")\n",
-    "    ax[0, i].set_title(d)\n",
-    "    sns.histplot(x=φ_pred[d], y=scaled_data[\"y\"][d], bins=300, cmap=\"viridis\", cbar=True, cbar_kws={\"label\": \"count\"}, ax = ax[1, i])\n",
-    "    \n",
-    "    # plot sigmoid using fit parameters\n",
-    "    x = np.linspace(-8  , 5, 100)\n",
-    "    y = g_pred_fn(params[\"θ\"], x)\n",
-    "    ax[1, i].plot(x, y, \"r\")\n",
-    "    # ax[1, i].plot([-6, 3], [-6, 3], \"k--\")\n",
-    "    ax[1, i].set_xlim(-4, 4)\n",
-    "    ax[1, i].set_ylim(-6, 3)\n",
-    "    ax[1, i].set_xlabel(\"predicted latent phenotype\")\n",
-    "    ax[1, i].set_ylabel(\"observed functional score\")\n",
-    "    ax[1, i].set_title(d)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'theta_bias': Array([-3.5], dtype=float64),\n",
-       " 'theta_scale': Array([6.], dtype=float64),\n",
-       " 'Δ': array([[ 0.        , -0.14617129, -0.11834745, ..., -0.31510181,\n",
-       "          0.00039893,  0.        ],\n",
-       "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
-       "          0.        ,  0.        ],\n",
-       "        [-0.        , -0.        ,  0.        , ..., -0.19540583,\n",
-       "         -0.0108999 , -0.        ]]),\n",
-       " 'θ': {'theta_bias': Array([-6.11416316], dtype=float64),\n",
-       "  'theta_scale': Array([10.], dtype=float64)},\n",
-       " 'β': {'Delta': Array([ 0.00134641, -0.32854641, -0.15633735, ...,  0.19753629,\n",
-       "          0.10689484,  0.01130504], dtype=float64),\n",
-       "  'Omicron_BA1': Array([ 0.00134641, -0.18237512, -0.0379899 , ...,  0.5126381 ,\n",
-       "          0.10649591,  0.01130504], dtype=float64),\n",
-       "  'Omicron_BA2': Array([ 0.00134641, -0.18237512, -0.0379899 , ...,  0.31723226,\n",
-       "          0.09559601,  0.01130504], dtype=float64)},\n",
-       " 'β0': {'Delta': Array(0.17052872, dtype=float64),\n",
-       "  'Omicron_BA1': Array(0., dtype=float64),\n",
-       "  'Omicron_BA2': Array(0.02499871, dtype=float64)}}"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "params"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ 0.         -0.14617129 -0.11834745 ... -0.31510181  0.00039893\n",
-      "  0.        ]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(params[\"Δ\"][0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['Delta', 'Omicron_BA1', 'Omicron_BA2']"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "list(params[\"β\"].keys())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['β1 (Delta) + -β2 (Omicron_BA1)', '', '-β2 (Omicron_BA1) + β3 (Omicron_BA2)']"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# string format the D matrix to show the beta coefficients\n",
-    "D_str = []\n",
-    "for i, row in enumerate(D):\n",
-    "    D_str.append(\n",
-    "        \" + \".join([f\"{'-' if coef == -1 else ''}β{j+1} ({list(params['β'].keys())[j]})\" \n",
-    "        for j, coef in enumerate(row) if coef != 0.0])\n",
-    "    )\n",
-    "D_str"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x800 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# triangle diff\n",
-    "fig, ax = plt.subplots(3, 1, figsize=(6, 8), sharex=True)\n",
-    "for i, d in enumerate(params[\"Δ\"]):\n",
-    "    # print(params[\"Δ\"][d])\n",
-    "    ax[i].plot(params[\"Δ\"][i])\n",
-    "    # plt.colorbar()\n",
-    "    ax[i].grid()\n",
-    "    ax[i].set_title(D_str[i])\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mutation</th>\n",
-       "      <th>wts</th>\n",
-       "      <th>sites</th>\n",
-       "      <th>muts</th>\n",
-       "      <th>times_seen_Delta</th>\n",
-       "      <th>times_seen_Omicron_BA1</th>\n",
-       "      <th>times_seen_Omicron_BA2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>M1F</td>\n",
-       "      <td>M</td>\n",
-       "      <td>1</td>\n",
-       "      <td>F</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>M1I</td>\n",
-       "      <td>M</td>\n",
-       "      <td>1</td>\n",
-       "      <td>I</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>8.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>M1K</td>\n",
-       "      <td>M</td>\n",
-       "      <td>1</td>\n",
-       "      <td>K</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>M1L</td>\n",
-       "      <td>M</td>\n",
-       "      <td>1</td>\n",
-       "      <td>L</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>M1N</td>\n",
-       "      <td>M</td>\n",
-       "      <td>1</td>\n",
-       "      <td>N</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10717</th>\n",
-       "      <td>S1252V</td>\n",
-       "      <td>S</td>\n",
-       "      <td>1252</td>\n",
-       "      <td>V</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>57.0</td>\n",
-       "      <td>65.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10718</th>\n",
-       "      <td>S1252W</td>\n",
-       "      <td>S</td>\n",
-       "      <td>1252</td>\n",
-       "      <td>W</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>28.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10719</th>\n",
-       "      <td>S1252Y</td>\n",
-       "      <td>S</td>\n",
-       "      <td>1252</td>\n",
-       "      <td>Y</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>84.0</td>\n",
-       "      <td>151.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10720</th>\n",
-       "      <td>S1252*</td>\n",
-       "      <td>S</td>\n",
-       "      <td>1252</td>\n",
-       "      <td>*</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>33.0</td>\n",
-       "      <td>33.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10721</th>\n",
-       "      <td>S1252-</td>\n",
-       "      <td>S</td>\n",
-       "      <td>1252</td>\n",
-       "      <td>-</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>10722 rows × 7 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      mutation wts  sites muts  times_seen_Delta  times_seen_Omicron_BA1  \\\n",
-       "0          M1F   M      1    F               3.0                     0.0   \n",
-       "1          M1I   M      1    I              10.0                     4.0   \n",
-       "2          M1K   M      1    K               5.0                     0.0   \n",
-       "3          M1L   M      1    L               8.0                     0.0   \n",
-       "4          M1N   M      1    N               1.0                     0.0   \n",
-       "...        ...  ..    ...  ...               ...                     ...   \n",
-       "10717   S1252V   S   1252    V              14.0                    57.0   \n",
-       "10718   S1252W   S   1252    W               8.0                    25.0   \n",
-       "10719   S1252Y   S   1252    Y              35.0                    84.0   \n",
-       "10720   S1252*   S   1252    *              12.0                    33.0   \n",
-       "10721   S1252-   S   1252    -               4.0                     0.0   \n",
-       "\n",
-       "       times_seen_Omicron_BA2  \n",
-       "0                         0.0  \n",
-       "1                         8.0  \n",
-       "2                         0.0  \n",
-       "3                         1.0  \n",
-       "4                         0.0  \n",
-       "...                       ...  \n",
-       "10717                    65.0  \n",
-       "10718                    28.0  \n",
-       "10719                   151.0  \n",
-       "10720                    33.0  \n",
-       "10721                     0.0  \n",
-       "\n",
-       "[10722 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.mutations_df"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "multidms-spike",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py b/notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py
deleted file mode 100644
index 724cb54..0000000
--- a/notebooks/experiments/generalized_lasso_sigmoid_models/nb_papermill.py
+++ /dev/null
@@ -1,87 +0,0 @@
-import os
-import multiprocessing
-from functools import partial
-import itertools as it
-import argparse
-import json
-
-from papermill import execute_notebook
-
-
-def explode_params_dict(params_dict):
-    """
-    Given a dictionary of model parameters,
-    of which any of the values can be a list of values,
-    compute all combinations of model parameter sets
-    and returns a list of dictionaries representing each
-    of the parameter sets.
-    """
-    varNames = sorted(params_dict)
-    return [
-        dict(zip(varNames, prod))
-        for prod in it.product(*(params_dict[varName] for varName in varNames))
-    ]
-
-
-def execute_my_notebook(new_params, nb, results_dir):
-    # create subdirectory for the results for each parameter set
-    param_string = "--".join([f"{k}={v}" for k, v in new_params.items()])
-    outdir = f"{results_dir}/{param_string}"
-    if not os.path.exists(outdir):
-        os.makedirs(outdir)
-    new_params["output_dir"] = outdir
-    nb_path = f"{outdir}/{nb}"
-    execute_notebook(nb, nb_path, parameters=new_params)
-
-
-def parallel_execution(loop_params_dict, nb, results_dir, nb_workers=-1):
-    # Define the number of processes to use
-    num_processes = (
-        multiprocessing.cpu_count() if nb_workers == -1 else nb_workers
-    )  # Use number of CPU cores
-
-    # Create a multiprocessing pool with the desired number of processes
-    with multiprocessing.get_context("spawn").Pool(processes=num_processes) as pool:
-        # Iterate over each set of loop parameters
-        for params in loop_params_dict:
-            # Apply the execute_notebook function to each set of parameters in parallel
-            pool.apply_async(
-                partial(execute_my_notebook, nb=nb, results_dir=results_dir),
-                args=(params,),
-            )
-
-        # Close the pool and wait for all processes to complete
-        pool.close()
-        pool.join()
-
-
-# Example of how to use parallel_execution
-if __name__ == "__main__":
-    # define defaults
-    results = "output"
-    nb = "my_noteboook.ipynb"
-    params = "params.json"
-
-    # parse args
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--nb", type=str, default=nb)
-    parser.add_argument("--params", type=str, default=params)
-    parser.add_argument("--nproc", type=int, default=-1)
-    parser.add_argument("--output", type=str, default=results)
-    args = parser.parse_args()
-
-    if not os.path.exists(args.nb):
-        raise ValueError(f"Notebook {args.nb} does not exist")
-    if not os.path.exists(args.params):
-        raise ValueError(f"Params file {args.params} does not exist")
-    if not os.path.exists(args.output):
-        os.makedirs(args.output)
-
-    # Load the parameters from the JSON file
-    with open(args.params, "r") as f:
-        loop_params_dict = explode_params_dict(json.load(f))
-
-        # Call parallel_execution to execute the notebooks in parallel
-        parallel_execution(
-            loop_params_dict, args.nb, args.output, nb_workers=args.nproc
-        )
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb b/notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb
deleted file mode 100644
index 79f6efc..0000000
--- a/notebooks/experiments/generalized_lasso_sigmoid_models/papermill_results.ipynb
+++ /dev/null
@@ -1,3335 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Plot results from `nb_papermill.py`"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Import necessary libraries"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import jax\n",
-    "jax.config.update(\"jax_enable_x64\", True)\n",
-    "import jax.numpy as jnp\n",
-    "import jaxopt\n",
-    "import pyproximal\n",
-    "import pylops\n",
-    "import pandas as pd\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "from matplotlib.lines import Line2D\n",
-    "import matplotlib.lines as mlines\n",
-    "import matplotlib.pyplot as plt\n",
-    "from matplotlib.transforms import (\n",
-    "    Bbox, TransformedBbox, blended_transform_factory)\n",
-    "from mpl_toolkits.axes_grid1.inset_locator import (\n",
-    "    BboxPatch, BboxConnector, BboxConnectorPatch)\n",
-    "import matplotlib.patches as patches\n",
-    "import matplotlib.colors as colors\n",
-    "\n",
-    "import numpy as np\n",
-    "import scipy\n",
-    "import seaborn as sns\n",
-    "import multidms\n",
-    "import pickle as pkl\n",
-    "import glob\n",
-    "from collections import defaultdict"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Organize the results into a `DataFrame`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_dir = \"results/cond_norm_sum_pen_manu_sweep\"\n",
-    "output_dir = f\"{results_dir}/aggregated_results\"\n",
-    "if not os.path.exists(output_dir):\n",
-    "    os.makedirs(output_dir)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def parse_results_dir_name(dir_path):\n",
-    "    # parse the directory name\n",
-    "    dir_name = dir_path.split(\"/\")[-1]\n",
-    "    hyperparams = {}\n",
-    "    for param in dir_name.split(\"--\"):\n",
-    "        key, value = param.split(\"=\")\n",
-    "        hyperparams[key] = value\n",
-    "    return hyperparams"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>data_replicate</th>\n",
-       "      <th>l2reg_beta</th>\n",
-       "      <th>lasso_coeff</th>\n",
-       "      <th>post_latent_fn</th>\n",
-       "      <th>smooth_obj_fn</th>\n",
-       "      <th>total_iterations</th>\n",
-       "      <th>sparsity</th>\n",
-       "      <th>params</th>\n",
-       "      <th>D</th>\n",
-       "      <th>data</th>\n",
-       "      <th>state</th>\n",
-       "      <th>error</th>\n",
-       "      <th>obj</th>\n",
-       "      <th>converged</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>0.00016</td>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>[[0.9785209609043806, 1.0, 0.9773904851625059]...</td>\n",
-       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
-       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
-       "      <td>Data(rep-1)</td>\n",
-       "      <td>(40369, 4.0, 9.975182337545662e-05, None, {'Δ'...</td>\n",
-       "      <td>[0.15816187623651967, 0.03865556468809561, 0.0...</td>\n",
-       "      <td>[0.7167504894823568, 0.7090806304507771, 0.707...</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>8e-05</td>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>[[0.9122939236928874, 1.0, 0.9162505887894489]...</td>\n",
-       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
-       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
-       "      <td>Data(rep-1)</td>\n",
-       "      <td>(34951, 8.0, 6.718138101804236e-05, None, {'Δ'...</td>\n",
-       "      <td>[0.1582068155707952, 0.038754518718045694, 0.0...</td>\n",
-       "      <td>[0.7167358315913144, 0.7090506240618105, 0.707...</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>0.00032</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>[[0.9983042863871879, 1.0, 0.9978332548280735]...</td>\n",
-       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
-       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
-       "      <td>Data(rep-1)</td>\n",
-       "      <td>(10745, 32.0, 9.88364405543199e-05, None, {'Δ'...</td>\n",
-       "      <td>[0.1214693709904156, 0.10069514708390737, 0.06...</td>\n",
-       "      <td>[0.8994924059021022, 0.8331227049267954, 0.789...</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1e-05</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>[[0.4539802166745172, 1.0, 0.5523316062176166]...</td>\n",
-       "      <td>{'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...</td>\n",
-       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
-       "      <td>Data(rep-1)</td>\n",
-       "      <td>(17159, 16.0, 9.990893228008926e-05, None, {'Δ...</td>\n",
-       "      <td>[0.12166822199069016, 0.10089081435577262, 0.0...</td>\n",
-       "      <td>[0.8994283728330139, 0.8329719698121019, 0.789...</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>4e-05</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>[[0.8261518373437792, 1.0, 0.8725983958216751]...</td>\n",
-       "      <td>{'Δ': [[-0.0, 0.0, -0.0, 0.0, -0.0, 0.0, 0.0, ...</td>\n",
-       "      <td>[[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...</td>\n",
-       "      <td>Data(rep-2)</td>\n",
-       "      <td>(10492, 32.0, 9.99365363561091e-05, None, {'Δ'...</td>\n",
-       "      <td>[0.1333798378455181, 0.11245823481395215, 0.08...</td>\n",
-       "      <td>[1.0630034726969102, 0.978954430143381, 0.9171...</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  data_replicate l2reg_beta lasso_coeff post_latent_fn          smooth_obj_fn  \\\n",
-       "0              1      1e-07     0.00016        sigmoid  cond_norm_sum_penalty   \n",
-       "1              1      1e-07       8e-05        sigmoid  cond_norm_sum_penalty   \n",
-       "2              1      1e-07     0.00032         linear  cond_norm_sum_penalty   \n",
-       "3              1      1e-07       1e-05         linear  cond_norm_sum_penalty   \n",
-       "4              2      1e-07       4e-05         linear  cond_norm_sum_penalty   \n",
-       "\n",
-       "  total_iterations                                           sparsity  \\\n",
-       "0           100000  [[0.9785209609043806, 1.0, 0.9773904851625059]...   \n",
-       "1           100000  [[0.9122939236928874, 1.0, 0.9162505887894489]...   \n",
-       "2           100000  [[0.9983042863871879, 1.0, 0.9978332548280735]...   \n",
-       "3           100000  [[0.4539802166745172, 1.0, 0.5523316062176166]...   \n",
-       "4           100000  [[0.8261518373437792, 1.0, 0.8725983958216751]...   \n",
-       "\n",
-       "                                              params  \\\n",
-       "0  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
-       "1  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
-       "2  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
-       "3  {'Δ': [[-0.0, 0.0, -0.0, -0.0, -0.0, 0.0, -0.0...   \n",
-       "4  {'Δ': [[-0.0, 0.0, -0.0, 0.0, -0.0, 0.0, 0.0, ...   \n",
-       "\n",
-       "                                                   D         data  \\\n",
-       "0  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
-       "1  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
-       "2  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
-       "3  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-1)   \n",
-       "4  [[1.0, -1.0, 0.0], [0.0, 0.0, 0.0], [0.0, -1.0...  Data(rep-2)   \n",
-       "\n",
-       "                                               state  \\\n",
-       "0  (40369, 4.0, 9.975182337545662e-05, None, {'Δ'...   \n",
-       "1  (34951, 8.0, 6.718138101804236e-05, None, {'Δ'...   \n",
-       "2  (10745, 32.0, 9.88364405543199e-05, None, {'Δ'...   \n",
-       "3  (17159, 16.0, 9.990893228008926e-05, None, {'Δ...   \n",
-       "4  (10492, 32.0, 9.99365363561091e-05, None, {'Δ'...   \n",
-       "\n",
-       "                                               error  \\\n",
-       "0  [0.15816187623651967, 0.03865556468809561, 0.0...   \n",
-       "1  [0.1582068155707952, 0.038754518718045694, 0.0...   \n",
-       "2  [0.1214693709904156, 0.10069514708390737, 0.06...   \n",
-       "3  [0.12166822199069016, 0.10089081435577262, 0.0...   \n",
-       "4  [0.1333798378455181, 0.11245823481395215, 0.08...   \n",
-       "\n",
-       "                                                 obj converged  \n",
-       "0  [0.7167504894823568, 0.7090806304507771, 0.707...      True  \n",
-       "1  [0.7167358315913144, 0.7090506240618105, 0.707...      True  \n",
-       "2  [0.8994924059021022, 0.8331227049267954, 0.789...      True  \n",
-       "3  [0.8994283728330139, 0.8329719698121019, 0.789...      True  \n",
-       "4  [1.0630034726969102, 0.978954430143381, 0.9171...      True  "
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "results = defaultdict(list)\n",
-    "string_features = []\n",
-    "for dir in glob.glob(results_dir+\"/*\"):\n",
-    "    if dir == output_dir: continue\n",
-    "    hyperparams = parse_results_dir_name(dir)\n",
-    "    # if hyperparams[\"smooth_obj_fn\"] == \"cond_norm_equal_penalty\": continue\n",
-    "    for key, value in hyperparams.items():\n",
-    "        string_features.append(key)\n",
-    "        results[key].append(value)\n",
-    "    for pck_fi in glob.glob(dir + \"/*.pkl\"):\n",
-    "        with open(pck_fi, \"rb\") as f:\n",
-    "            results[pck_fi.split(\"/\")[-1].split(\".\")[0]].append(pkl.load(f))\n",
-    "    results[\"converged\"].append(results[\"state\"][-1].iter_num < 100000)\n",
-    "results_df = pd.DataFrame(results)\n",
-    "results_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "converged\n",
-       "True     35\n",
-       "False     1\n",
-       "Name: count, dtype: int64"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_df[\"converged\"].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's make sure all fits here converged"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>post_latent_fn</th>\n",
-       "      <th>l2reg_beta</th>\n",
-       "      <th>data_replicate</th>\n",
-       "      <th>lasso_coeff</th>\n",
-       "      <th>smooth_obj_fn</th>\n",
-       "      <th>total_iterations</th>\n",
-       "      <th>converged</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000005</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000010</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000020</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000080</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000160</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000320</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000640</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000005</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000010</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000020</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000080</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000160</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000320</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>linear</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000640</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000005</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000010</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000020</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000080</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000160</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000320</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000640</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000005</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000010</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>31</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000020</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000080</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000160</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000320</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>sigmoid</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000640</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   post_latent_fn l2reg_beta data_replicate  lasso_coeff  \\\n",
-       "18         linear      1e-07              1     0.000000   \n",
-       "28         linear      1e-07              1     0.000005   \n",
-       "3          linear      1e-07              1     0.000010   \n",
-       "14         linear      1e-07              1     0.000020   \n",
-       "7          linear      1e-07              1     0.000040   \n",
-       "27         linear      1e-07              1     0.000080   \n",
-       "12         linear      1e-07              1     0.000160   \n",
-       "2          linear      1e-07              1     0.000320   \n",
-       "26         linear      1e-07              1     0.000640   \n",
-       "6          linear      1e-07              2     0.000000   \n",
-       "25         linear      1e-07              2     0.000005   \n",
-       "35         linear      1e-07              2     0.000010   \n",
-       "29         linear      1e-07              2     0.000020   \n",
-       "4          linear      1e-07              2     0.000040   \n",
-       "15         linear      1e-07              2     0.000080   \n",
-       "33         linear      1e-07              2     0.000160   \n",
-       "20         linear      1e-07              2     0.000320   \n",
-       "5          linear      1e-07              2     0.000640   \n",
-       "19        sigmoid      1e-07              1     0.000000   \n",
-       "9         sigmoid      1e-07              1     0.000005   \n",
-       "17        sigmoid      1e-07              1     0.000010   \n",
-       "16        sigmoid      1e-07              1     0.000020   \n",
-       "10        sigmoid      1e-07              1     0.000040   \n",
-       "1         sigmoid      1e-07              1     0.000080   \n",
-       "0         sigmoid      1e-07              1     0.000160   \n",
-       "11        sigmoid      1e-07              1     0.000320   \n",
-       "24        sigmoid      1e-07              1     0.000640   \n",
-       "23        sigmoid      1e-07              2     0.000000   \n",
-       "8         sigmoid      1e-07              2     0.000005   \n",
-       "32        sigmoid      1e-07              2     0.000010   \n",
-       "31        sigmoid      1e-07              2     0.000020   \n",
-       "34        sigmoid      1e-07              2     0.000040   \n",
-       "30        sigmoid      1e-07              2     0.000080   \n",
-       "22        sigmoid      1e-07              2     0.000160   \n",
-       "13        sigmoid      1e-07              2     0.000320   \n",
-       "21        sigmoid      1e-07              2     0.000640   \n",
-       "\n",
-       "            smooth_obj_fn total_iterations converged  \n",
-       "18  cond_norm_sum_penalty           100000      True  \n",
-       "28  cond_norm_sum_penalty           100000      True  \n",
-       "3   cond_norm_sum_penalty           100000      True  \n",
-       "14  cond_norm_sum_penalty           100000      True  \n",
-       "7   cond_norm_sum_penalty           100000      True  \n",
-       "27  cond_norm_sum_penalty           100000      True  \n",
-       "12  cond_norm_sum_penalty           100000      True  \n",
-       "2   cond_norm_sum_penalty           100000      True  \n",
-       "26  cond_norm_sum_penalty           100000      True  \n",
-       "6   cond_norm_sum_penalty           100000      True  \n",
-       "25  cond_norm_sum_penalty           100000      True  \n",
-       "35  cond_norm_sum_penalty           100000      True  \n",
-       "29  cond_norm_sum_penalty           100000      True  \n",
-       "4   cond_norm_sum_penalty           100000      True  \n",
-       "15  cond_norm_sum_penalty           100000      True  \n",
-       "33  cond_norm_sum_penalty           100000      True  \n",
-       "20  cond_norm_sum_penalty           100000      True  \n",
-       "5   cond_norm_sum_penalty           100000      True  \n",
-       "19  cond_norm_sum_penalty           100000     False  \n",
-       "9   cond_norm_sum_penalty           100000      True  \n",
-       "17  cond_norm_sum_penalty           100000      True  \n",
-       "16  cond_norm_sum_penalty           100000      True  \n",
-       "10  cond_norm_sum_penalty           100000      True  \n",
-       "1   cond_norm_sum_penalty           100000      True  \n",
-       "0   cond_norm_sum_penalty           100000      True  \n",
-       "11  cond_norm_sum_penalty           100000      True  \n",
-       "24  cond_norm_sum_penalty           100000      True  \n",
-       "23  cond_norm_sum_penalty           100000      True  \n",
-       "8   cond_norm_sum_penalty           100000      True  \n",
-       "32  cond_norm_sum_penalty           100000      True  \n",
-       "31  cond_norm_sum_penalty           100000      True  \n",
-       "34  cond_norm_sum_penalty           100000      True  \n",
-       "30  cond_norm_sum_penalty           100000      True  \n",
-       "22  cond_norm_sum_penalty           100000      True  \n",
-       "13  cond_norm_sum_penalty           100000      True  \n",
-       "21  cond_norm_sum_penalty           100000      True  "
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_df[\"lasso_coeff\"] = results_df[\"lasso_coeff\"].astype(float)\n",
-    "id_vars = list(set(string_features))\n",
-    "results_df[id_vars + [\"converged\"]].sort_values(id_vars)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array(9.97518234e-05, dtype=float64)"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# results_df.query(f\"lasso_coeff.isin([0.0, 4e-05, 6.4e-4])\", inplace=True)\n",
-    "results_df.loc[0, \"state\"].error"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "model_params = results_df.loc[0, \"params\"][\"β\"]\n",
-    "fig, ax = plt.subplots(3,1)\n",
-    "for i, (key, value) in enumerate(model_params.items()):\n",
-    "    ax[i].hist(value)\n",
-    "    ax[i].set_title(key)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'post_latent_fn', 'l2reg_beta', 'data_replicate', 'smooth_obj_fn', 'total_iterations'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "non_lasso_groupers = set(string_features) - set([\"lasso_coeff\"])\n",
-    "print(non_lasso_groupers)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'post_latent_fn', 'l2reg_beta', 'smooth_obj_fn'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "non_lasso_groupers = non_lasso_groupers - set(\n",
-    "    [\n",
-    "        \"data_replicate\", \n",
-    "        \"theta_scale_upper_bound\", \n",
-    "        \"total_iterations\", \n",
-    "        \"l2reg_theta_scale\", \n",
-    "        # \"l2reg_beta\", \n",
-    "        \"equivariant\"\n",
-    "    ]\n",
-    ")\n",
-    "print(non_lasso_groupers)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "36"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(results_df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Change type of lasso_coeff to categorical dtype sorted by value\n",
-    "results_df[\"lasso_coeff\"] = results_df[\"lasso_coeff\"].astype(\"float\")\n",
-    "results_df[\"lasso_coeff_cat\"] = pd.Categorical(results_df[\"lasso_coeff\"], categories=sorted(results_df[\"lasso_coeff\"].unique()))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear\n",
-      "l2reg_beta=1e-07\n",
-      "smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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Ly8tTXl5er/uPfVQqScuXL1dxcbFWrlypoqIiSVJZWVlg0fagtbVVra2t3r8bGxtN6xsAgED1lp9uefodvXLnKKvCAgAMAn4XeX3pfFS6YMEC77b+HpUO1OLFi3Xvvff2uO/VD+t00fgRYfXiQgCD09CoSJX/LNeyc/sqMTFRkZGRqq2t7bK9trZWycnJPR6TnJzsV3un6C0/7apvtiAaAPAfuSl8mbrwSl+PSv159JmTk6Orr75a69at0+jRo/ssEBcsWKCGhgbvp6qqyrvvhsc26e/bqv3/IgAQYi6XS3HRQyz5+HMjLDo6WpMmTVJJSYl3W0dHh0pKSjRt2rQej5k2bVqX9pL04osv9treKfrKTwAQDshN4cvUJ3lmeemll3xuGxMTo5iYGLndbrndbnk8ni77S7bX6T8zTzY7RAAYtAoLCzV37lxNnjxZU6dO1bJly9Tc3Owdpn/99dfr5JNP1uLFiyUdfS3ORRddpIceekgzZ87UM888o82bN+vRRx+18msEXX/5CQBgHnJTV6YWeYE8KjVLfn6+8vPz1djYqISEBO/2Dj9W5gEA9G/OnDmqr6/XwoULVVNTo8zMTK1fv947iqOyslIREV8MFLngggv01FNP6e6779add96p008/XWvXrtWECROs+goh1Vt+AgCYh9zUlalF3rGPSmfPni3pi0elBQUFZp6qm97ulH76+aGgnhcABqOCgoJef9dfffXVbtuuvvpqXX311UGOyp54kgcAoUFu+oLfc/KamppUVlbmXSGzoqJCZWVlqqyslHT0UemKFSv0+OOPa/v27brpppu6PCoNlvz8fJWXl2vTpk1dtpdVHQjqeQEA6Etv+QkAgGDx+0ne5s2bNWPGDO/fhYWFkqS5c+dq1apV/T4qBQAAAAAEj99FXnZ2dr9voO/rUWmw9DUcpqWt3eeXKQIAYCaGawIAQs3UVyhYqa/hMKUf1VsQEQAADNcEAISeY4q8vvzwf7daHQIAAF6H2niqBwAIHscUeW63W+np6ZoyZYrVoQCAz/ob/j4YOe2a9JSfNu/Zb2FEANC3jo4Oq0OwpXC6Li7DYdm08z1Eqbc+q4iYOO/23UtmWhgVAHTl8Xj08ccfKy4uTiNGjJDL5bI6JFswDEP19fVqaWnR6aefrsjIyC77O3/jGxoaFB8fb1GUgTk2P505ZqRe+MlFVocEAF10dHTo448/VmRkpEaMGKHo6Gjyk47mpra2NtXX18vj8ej000/v8s49yX75idVIAMACkZGRGj16tD799FPt3r3b6nBsxeVyafTo0d0KPCf5qLbJ6hAAoJuIiAiNHTtWe/fuVXV1tdXh2E5cXJzGjBnTrcCzI8cUeaxeBiDcHH/88Tr99NN15MgRq0OxlaioKEcVeOQnAOEkOjpaY8aMUXt7O79bx4iMjNSQIUPC5skmwzUBAGHDbsNh/PHl/EReAgDnsFt+sv+zRgAAAACAzwZNkVe1v8XqEAAAAAAg6AZNkefpcNSoVABAmHPYbAkAgI04psjr7z15H9UeDHFEAAD0np/K9zZaFBEAwOkcU+Tl5+ervLxcmzZt6nH/38pYBhYAEHq95aelL3xkUUQAAKdzTJHXH0MMiwEA2EfJjjqrQwAAONSgKfIAAAAAYDCgyAMAAAAAB3FMkdffwisuhcfb6QEAztJffgIAwGyOKfL6W3il+L29+vs2Fl8BAIRWf/kJAACzOabI88WPn37H6hAAAAAAIKgGVZEHAICd8EJ0AEAwDLoir2p/i9UhAAAgSaokJwEAgmDQFXlv7NxndQgAAEiSahoOWx0CAMCBBl2R92J5rdUhAAAgSXqZF6IDAIJg0BV5JSRUAIBN7P6s2eoQAAAO5Jgij/cQAQDsqK/89PwHjC4BAJjPMUUe7yECANgR+QkAEGqOKfIAAAAAAA4u8rLPSLQ6BAAAAAAIOccWecNionrd9+ctn4YwEgAAeufp4IXoAABzObbIk6v3Xf+1Zlvo4gAAoA+n3bnO6hAAAA7j2CLP1VeVJ2n3PpatBgCEXsrwWKtDAAA4nHOLvL5rPP1i/Y7QBAIAwDFuueR0q0MAADic7Yq8qqoqZWdnKz09Xeeee67WrFkTUD+5Zyf3uf+592sC6hcAgIGYOOYEq0MAADic7Yq8IUOGaNmyZSovL9cLL7ygW2+9Vc3N/g+tnH56okYOiwlChAAABG5ED7mpgikEAAAT2a7IGzVqlDIzMyVJycnJSkxM1P79+/3ux+Vy6Y5LzzQ5OgAABiYqsnvqrWk4bEEkAACn8rvIKy0t1axZs5SSkiKXy6W1a9d2a+N2u5WWlqbY2FhlZWVp48aNAQW3ZcsWeTwepaamBnR89hkjAjoOAIBQ+vNWXu0DADCP30Vec3OzMjIy5Ha7e9y/evVqFRYWatGiRdq6dasyMjKUm5ururo6b5vMzExNmDCh26e6utrbZv/+/br++uv16KOPBvC1jjohLrrP/bet2aY9nzFEBgBgrXcqP7c6BACAgwzx94C8vDzl5eX1un/p0qWaP3++5s2bJ0lavny5iouLtXLlShUVFUmSysrK+jxHa2urZs+eraKiIl1wwQX9tm1tbfX+3djY6P13ZETfS2z+acun2lr5uV7+r+w+2wEA4K++8tOX7arnhiMAwDymzslra2vTli1blJOT88UJIiKUk5OjDRs2+NSHYRi64YYbdPHFF+u6667rt/3ixYuVkJDg/fg7tPMTEisAIAgGmp8AAAiUqUXevn375PF4lJSU1GV7UlKSamp8e2XBG2+8odWrV2vt2rXKzMxUZmam3nvvvV7bL1iwQA0NDd5PVVXVgL4DAABmID8BAKzi93DNYLvwwgvV0dHhc/uYmBjFxMTI7XbL7XbL4/EEMToAAHzjb34qfnevZp47KkTRAQCczNQneYmJiYqMjFRtbW2X7bW1tUpO7vvl5AOVn5+v8vJybdq0KajnAQDAH77mp/yntoYoIgCA05la5EVHR2vSpEkqKSnxbuvo6FBJSYmmTZtm5qm6cbvdSk9P15QpU/w+9sOag0GICACAgeUnAAAC4XeR19TUpLKyMu8KmRUVFSorK1NlZaUkqbCwUCtWrNDjjz+u7du366abblJzc7N3tc1gGciTvNxlpRR6AICg8Cc/eTqMEEQEAHA6v+fkbd68WTNmzPD+XVhYKEmaO3euVq1apTlz5qi+vl4LFy5UTU2NMjMztX79+m6LsdhN7rJS7V4y0+owAACD2Ic1B5WeEm91GACAMOd3kZednS3D6PtOY0FBgQoKCgIOKhAsvAIAsCN/8tOvXvpIK66fHIKoAABOZuqcPCv1NhzG1ff70AEACKqe8tPGOy/pse2L5bVqaWsPVWgAAIdyTJHXm5f/K9vqEAAA6GJkfKw++nlej/vSFz4f4mgAAE7jmCKvt9XLxiYep7/86AKLogIADHa95afoIb2n4LZ2398XCwDAlzmmyOtr9bLzxpzgUx81DYf1TuXnZocGABjEAln9+Y2d+4IYEQDA6RxT5Jnh/MUluuJ3b6q8utHqUAAAg5j7lZ1WhwAACGMUeT14dnOV1SEAAAaxzXsYVQIACJxjirze5jwEYtWbuwceEAAAMjc/AQDgC8cUeYHMeejLm8yHAACYwOz8BABAfxxT5Jnt2394W56Ovl/6DgBAsGzZs9/qEAAAYYoirw+7P2u2OgQAwCD1jUc2WB0CACBMOabI62/Ow6yMFL/7vOShf2nde3sHGhoAYBDrKz/98KLT+jy23cP78gAA/nMZhuGoMYmNjY1KSEhQQ0OD4uPjvdtrGw8r64GSgPr84N5cHRczxKwQAQAB6u03Phz0FvsTG3Zr4d8+6PGYNT+cpilpJ4YqRABAgOyWnxzzJK8/SfGx+lp6UkDH/uwf5SZHAwDAUddPS+t1X9Gf3w1dIAAAxxg0RZ4kPXr95ICOW725ikVYAAAht6u+WWlFxVaHAQAIM4OqyBuI0+5cp31NrVaHAQAYhJpb260OAQAQRijy/PDEhj1WhwAAGISe3lhpdQgAgDDimCKvv9U1O+XP6HslMwAAzORrfurLz4u3mxgRAMDpHFPk5efnq7y8XJs2beqz3dwL0gI+x94Dh3TrM++oan9LwH0AAAYXX/MTAABmcUyR56uRw2IDPnbNlk+1tqxa03/5iokRAQAGu2umjum3zeSfvxSCSAAATjDoijwAAOxm8ZXn9NtmX1OrHPZqWwBAkAzKIm/3kpk65aS4AfVRf5CVNgEA5tm9ZGa/bT6sPRiCSAAA4W5QFnmStPiK/u+a9mXK/S9pwV94SS0AIHQeeuEjq0MAAISBQVvkTU47ccB9PL2xSh28JB0AECIvltey+BcAoF+OKfL8XaI6eog5X/3UO9cprajYlL4AAM5jxisUjsXiXwCA/jimyLN6iep3Kj+35LwAAHvzJz99a0qqT33WNh4eaFgAAAdzTJFntSt+96bVIQAAwpwvq2xKUtYDJYwiAQD0alAXeScPH2pqf2lFxSr9qN7UPgEAg4fL5fJplc1OB1raghgNACBcDeoi742ii/Xqbdmm9nn9yo2m9gcAQG9+9SKrbQIAuhvURZ4kpSUeZ36fRcWacv9LpvcLAMCxHt+whxekAwC6GfRFXrDUH2wl8QIAgm7sgnVWhwAAsBmKvCAau2Cdntiw2+owAABhpmLxZX61b2vvCFIkAIBwZLsi78CBA5o8ebIyMzM1YcIErVixIujn3P6zS4PW98K/fRC0vgEAzuTvAizj736O1TYBAF62K/KGDRum0tJSlZWV6e2339YDDzygzz77LKjnHBod6Vcy9VdaUbGpydcwDG+fTa3tpvULAAhvDYeOWB0CAMAGbFfkRUZGKi4uTpLU2np0XptT5ra98EHNgPs4ePhIl/kXExY9zzAdAIAk6dZn3rE6BACADfhd5JWWlmrWrFlKSUmRy+XS2rVru7Vxu91KS0tTbGyssrKytHGjf68VOHDggDIyMjR69GjdfvvtSkxM9DdMW7rxyS0DOr6jw9A597zQbftbnwT3SScAIDy88mG9KvY1Wx0GAMBifhd5zc3NysjIkNvt7nH/6tWrVVhYqEWLFmnr1q3KyMhQbm6u6urqvG0659t9+VNdXS1JGj58uLZt26aKigo99dRTqq2tDfDr2U9aUbE6OgJ7MnnqnT2voMa7+QDAmRZfeY7fx8x48FXzAwEAhJUh/h6Ql5envLy8XvcvXbpU8+fP17x58yRJy5cvV3FxsVauXKmioiJJUllZmU/nSkpKUkZGhl577TVdddVVPbZpbW1Va2ur9+/GxkYfv0l3P/jqqfp96ScBH++rzmJt5/15GhLpW539nT+8HcyQAAAmMyM/XTN1jBb85T2/j6tpOKzkhFi/jwMAOIOpc/La2tq0ZcsW5eTkfHGCiAjl5ORow4YNPvVRW1urgwcPSpIaGhpUWlqqM844o9f2ixcvVkJCgveTmpoacPxFeWcGfGwgxt31nE/tPqhu0Os79wU5GgCAmczKT4EsDHb+4hJW2wSAQczUIm/fvn3yeDxKSkrqsj0pKUk1Nb4tOrJnzx5Nnz5dGRkZmj59um6++Wadc07vw1UWLFighoYG76eqqirg+P1dstoMaUXFKtne93BUX57i1TYeNiskAIAJzMxPgfIEOD0AABDe/B6uGWxTp071eTinJMXExCgmJkZut1tut1sej2fAMZx0XLQ+a24bcD+++t7jm/VS4UUaN/L4Hvd/3tL/ktj3/bNcD3/7PLNDAwAEyMz8lD4qXuV7/R/uedr/TQ8I9Q1MAIC1TH2Sl5iYqMjIyG4LpdTW1io5OdnMU3WTn5+v8vJybdq0acB9bb47p/9GJstZ+i+lFRWrLsAncv98d6/JEQEAzGBGflp3y3TFRgWesj8P4Y1LAID1TC3yoqOjNWnSJJWUlHi3dXR0qKSkRNOmTTPzVN243W6lp6drypQpA+7LimGbnaY+EPg8ir0Nh0yOBgAwUGblpx339b7oWX8m3vciQzcBYBDxu8hrampSWVmZd0hlRUWFysrKVFlZKUkqLCzUihUr9Pjjj2v79u266aab1Nzc7F1tM1jMfJLXac0Pg1uY9uW9Txv8PqbpcHsQIgEADISZ+enM5GEBH3vanetkGBR6ADAY+D0nb/PmzZoxY4b378LCQknS3LlztWrVKs2ZM0f19fVauHChampqlJmZqfXr13dbjCUcTEk70bJzz3r4dUnSy/91kWUxAADs5blbpmvsgp7fmeqLzmOZowcAzuZ3kZednd3vncCCggIVFBQEHFQgzFx45VjDYofooIVPyC5+6F8+t+X+LADYj5n5qXM6wUBfj3DE06EoH9/TCgAIPy7DYWM3GhsblZCQoIaGBsXHx5vWbzi8b+j5W7+qMwYwlAcA7C5Yv/GhYGbs1/3xbb328cDen/raHTOUemLcgPoAABxlt/zEbTwAAMLMk9/LGnAf03/5igmRAADsyDFFnpmra/akYvFlmp2ZEpS+zWIwYBMAbCdY+cmMeXXX/uEttbSxaBcAOA3DNf1k52Gbz90yXWeNsv7xMAAEi92Gw/gjGLHfvfY9/e9blQPuh4VYAGBg7JafHPMkDwCAwebns8/RS4UDX4U5rajY1jcxAQD+ocgDACCMjRt5vGl9OWxwDwAMWo4p8oI9J6/T7iUzlXPWyKCeI1DkZgCwn1Dkp0evm2RKP2MXrNNXlrxMsQcAYY45eQFa//5e/fB/twat/0AU//hCnZ2SYHUYABA0dpvz4I9gx35/cblWvFZhap/M1QMA39gtPznmSV6oXTphlOKiI60OAwAASdJdM9NN77O1feAvcAcAhB5F3gCU/+xSq0PowlnPZAEA/rrhgjRT+zvj7vW65Zl3TO0TABB8jinyQjUn78v+9MNpIT1fX5paedcRANhNKPPTPZefredumW5qn38rq9a8xzaq4dARU/sFAASPY4q8/Px8lZeXa9OmTSE97+S0E0N6vr7wJA8A7CfU+emsUfG67JxkU/t85cN6Zdz7gg4eptADgHDgmCLPSruXzNTuJTOVP+M0S+Nw2Bo6AIAA/e7aSfpRtvk56Zx7XuB9egAQBijyTHR77pmWrkRGiQcA6HTHpWdqx33BmTte8NRWFmUBABujyHMQHuQBAI4VGxUZlJuP/3x3r864e73p/QIAzEGRFwTBunPaH4NneQCAHvy/72cFpd+ODvIOANiRY4o8q1bX7EnnndP/uerckJ6XXAsA9mOH/PSVcYlBeaK38g1zX74OADCHY4o8q1bX7MvVk1NDOkePhVcAwH7slJ+eMvmJ3ss76kztDwBgDscUeXZ28vChITkPJR4AoC8XjEvUJw9cZlp/7QwhAQBbosgLgdf/e0ZIzsOTPABAfyIiXKb1xZw8ALAnirwQcLlc2r1kpp783tSgnocaDwDgiw9/bs4CYUco8gDAlijyQmj66SP0/76fpZHDYoLSP0UeAMAXMUOOLhD2++smDagfT0eHSREBAMxEkRdiXxmXqI135QSlbw9VHgDAD7lnJw9ogbB2D3kHAOyIIs8iu5fM1Pafmfs+PeZGAAACUbH4Ms3KSPH7OA95BwBsyTFFnh3eQ+SvodGRpvYXaeJkegCAOcIhP7lcLv32mom6ZuoYv45jBAkA2JPLcNiSjI2NjUpISFBDQ4Pi4+OtDscnhmFo0d8/0BMb9gyon99fN0m5ZyebFBUA2E84/sZ3CqfY5/x+g96u2N9vu1NOitO/bg/NCtIAYGd2+413zJO8cOZyufSz/5ww4BenO6xeBwBYZPUPpvn04nTm5AGAPVHk2cwdl54R8LFMjQAAmOWCcYn9tmFOHgDYE0Wezfwoe5yuzRqjqWkn+n0sD/IAAGbavWSm/l7wlV73t1PkAYAtDbE6AHR3/xXneP+dVlTs83EdVHkAAJOdO3q4dtx3qc786fpu+yK5VQwAtsTPs83tXjJTSfG+vTydEg8AEAyxUUdfnn7ff57dZXv+jHEWRQQA6Itti7yWlhadcsopuu2226wOxXJ/+uEFPrVj4RUAQDBdNy1Nu5fM1MhhR28+jk8aZnFEAICe2LbIu//++3X++edbHYZtVSy+TN/O6vo+I2o8AEAoDItltgcA2Jkti7yPP/5YO3bsUF5entWh2NLT88+Xy+XSt7/00lrm5AEAAADwu8grLS3VrFmzlJKSIpfLpbVr13Zr43a7lZaWptjYWGVlZWnjxo1+neO2227T4sWL/Q3NseJjo7r8Pe20kyRJpycd32U7NR4AIJTIOwBgT34Xec3NzcrIyJDb7e5x/+rVq1VYWKhFixZp69atysjIUG5ururq6rxtMjMzNWHChG6f6upq/e1vf9P48eM1fvz4wL+VwyTEfVHkvfCTr3r/HTMksks7ci0AIBRcLpfVIQAA+uD3oPq8vLw+h1EuXbpU8+fP17x58yRJy5cvV3FxsVauXKmioiJJUllZWa/Hv/XWW3rmmWe0Zs0aNTU16ciRI4qPj9fChQt7bN/a2qrW1lbv342Njf5+pbBQtvA/tK+pVeNG9j7JneGaAGAfgyU/AQDsx9Q5eW1tbdqyZYtycnK+OEFEhHJycrRhwwaf+li8eLGqqqq0e/duPfjgg5o/f36vBV5n+4SEBO8nNTV1wN/DjobHRfdY4D3+3anef7O6JgDYx2DITwZjSADAlkwt8vbt2yePx6OkpKQu25OSklRTU2PmqbwWLFighoYG76eqqioo57Gri8aP8P477aTjLIwEAHAsJ+cnBmsCgL3Zeg3kG264od82MTExiomJkdvtltvtlsfjCX5gNvOj7NP0WVOb0lPirQ4FAPB/yE8AAKuYWuQlJiYqMjJStbW1XbbX1tYqOTnZzFN1k5+fr/z8fDU2NiohISGo57KbOy490+oQAAC9GMz5CQBgDVOHa0ZHR2vSpEkqKSnxbuvo6FBJSYmmTZtm5qkAAIDVmJIHALbk95O8pqYm7dy50/t3RUWFysrKdOKJJ2rMmDEqLCzU3LlzNXnyZE2dOlXLli1Tc3Ozd7XNYGE4DADAjpyYn3iDAgDYm8vwc0nGV199VTNmzOi2fe7cuVq1apUk6eGHH9b//M//qKamRpmZmfrNb36jrKwsUwLuT+dwmIaGBsXHM0cNAJwknH/jwzn2L/var/6lj2qb9NT3s3TBuESrwwEAy9ntN97vJ3nZ2dn9LtVfUFCggoKCgIMKhBPvlAIAwp+T8xOjNQHAnvx+kmd3dquiAQDmCeff+HCOHQDQN7v9xpu68AoAAAAAwFqOKfLcbrfS09M1ZcoUq0MBAMCL/AQACDWGawIAwkY4/8aHc+wAgL7Z7TfeMU/yAAAAAAAUeQAAAADgKI4p8pjzAACwI/ITACDUmJMHAAgb4fwbH86xAwD6ZrffeMc8yQMAAAAAUOQBAAAAgKMMsToAs7jdbrndbrW3t0s6+sgUAOAsnb/t4TTTgPwEAM5nt/zkuDl5n3zyiU477TSrwwAABNGuXbt06qmnWh2GX8hPAOB8dslPjnmS1+nEE0+UJFVWViohIcHiaOyvsbFRqampqqqqssUkUTvjWvmH6+U7rpXvGhoaNGbMGO9vfTghP/mO/074jmvlH66X77hW/rFbfnJckRcRcXSaYUJCAv8P6Yf4+Hiul4+4Vv7hevmOa+W7zt/6cEJ+8h//nfAd18o/XC/fca38Y5f8ZI8oAAAAAACmoMgDAAAAAAdxXJEXExOjRYsWKSYmxupQwgLXy3dcK/9wvXzHtfJdOF+rcI491LhWvuNa+Yfr5TuulX/sdr0ct7omAAAAAAxmjnuSBwAAAACDGUUeAAAAADgIRR4AAAAAOAhFHgAAAAA4CEUeAAAAADgIRR4AAAAAOAhFHgAAAAA4CEUeAAAAADgIRR4AAAAAOAhFHgAAAAA4CEUeAAAAADgIRR4AAAAAOMgQqwMwW0dHh6qrqzVs2DC5XC6rwwEAmMgwDB08eFApKSmKiAiv+5TkJwBwLrvlJ8cVedXV1UpNTbU6DABAEFVVVWn06NFWh+EX8hMAOJ9d8pPjirxhw4ZJOnqB4+PjLY4GAGCmxsZGpaamen/rwwn5CQCcy275yXFFXucQmPj4eJIoADhUOA53JD8BgPPZJT9ZP2AUAAAAAGAaijwAAAAAcBCKPAAAAABwEMfMyXO73XK73fJ4PFaHAmAQ6OjoUFtbm9VhOFJ0dLQtlp82C/kJQCh5PB4dOXLE6jAcJyoqSpGRkVaH4TOXYRiG1UGYqbGxUQkJCWpoaGBiO4CgaGtrU0VFhTo6OqwOxZEiIiI0duxYRUdHd9sXzr/x4Rw7APszDEM1NTU6cOCA1aE41vDhw5WcnNzj4ip2+413zJM8AAgFwzC0d+9eRUZGKjU11VFPnOyg84Xhe/fu1ZgxY2yzShkA2F1ngTdy5EjFxcXx+2kiwzDU0tKiuro6SdKoUaMsjqh/FHkA4If29na1tLQoJSVFcXFxVofjSCNGjFB1dbXa29sVFRVldTgAYHsej8db4J100klWh+NIQ4cOlSTV1dVp5MiRth+6yS1oAPBD57yqnoYSwhyd15Y5bADgm845eNx8DK7O6xsOcx4p8gAgAAyDCR6uLQAEht/P4Aqn60uRBwAAAAAOYssi74orrtAJJ5ygq666yupQAAAAACCs2LLIu+WWW/TEE08MqI99B1tNigYAwt8999wjl8vV5XPmmWcOuN81a9bozDPPVGxsrM455xytW7euW5vt27fr8ssvV0JCgo477jhNmTJFlZWVAz43ACD8kZ+Cw5ZFXnZ2toYNGzagPnbUHjQpGgBwhrPPPlt79+71fl5//fUB9ffmm2/qmmuu0fe+9z298847mj17tmbPnq3333/f22bXrl268MILdeaZZ+rVV1/Vu+++q5/+9KeKjY0d6NcBADgE+cl8fhd5paWlmjVrllJSUuRyubR27dpubdxut9LS0hQbG6usrCxt3LjRjFj98sL7NSE/JwDY2ZAhQ5ScnOz9JCYmevcdOHBA3//+9zVixAjFx8fr4osv1rZt2/rs79e//rUuvfRS3X777TrrrLN033336bzzztPDDz/sbXPXXXfpsssu0y9/+UtNnDhRp512mi6//HKNHDkyaN8TABBeyE/m87vIa25uVkZGhtxud4/7V69ercLCQi1atEhbt25VRkaGcnNzvS8PlKTMzExNmDCh26e6ujrwb/Ilf3nn36b1BQC9MQxDLW3tlnwMw/Ar1o8//lgpKSk69dRTde2113YZknL11Verrq5Ozz33nLZs2aLzzjtPl1xyifbv399rfxs2bFBOTk6Xbbm5udqwYYOkoy82Ly4u1vjx45Wbm6uRI0cqKyurx5uDg4m//7kBQCCsyk+B/MaRn8zn98vQ8/LylJeX1+v+pUuXav78+Zo3b54kafny5SouLtbKlStVVFQkSSorKwssWgCwmUNHPEpf+Lwl5y7/Wa7ion37Gc/KytKqVat0xhlnaO/evbr33ns1ffp0vf/++9q2bZs2btyouro6xcTESJIefPBBrV27Vn/6059044039thnTU2NkpKSumxLSkpSTc3RkRR1dXVqamrSkiVL9POf/1y/+MUvtH79el155ZV65ZVXdNFFFw3g24evf39+SAkJCVaHAcDhrMpP/uQmifwULH4XeX1pa2vTli1btGDBAu+2iIgI5eTkeCtns7W2tqq19YtFVhobG4NyHgAIZ8fenDv33HOVlZWlU045Rc8++6wOHz6spqYmnXTSSV2OOXTokHbt2qXKykqlp6d7t99555268847+z1nR0eHJOk///M/9ZOf/ETS0ZEcb775ppYvX+6IJNoX8hMA9I/8FBymFnn79u2Tx+PpsXLesWOHz/3k5ORo27Ztam5u1ujRo7VmzRpNmzatx7aLFy/WvffeO6C4ASBQQ6MiVf6zXMvOHajhw4dr/Pjx2rlzp4YPH65Ro0bp1Vdf7bHd8OHDu4zAOPHEEyVJycnJqq2t7dK+trZWycnJkqTExEQNGTKkSwKWpLPOOmvAk+rDQW/56XC7x4JoAAw2VuWngeQmifxkFlOLPLO89NJLPrddsGCBCgsLvX83NjYqNTU1GGEBQDcul8uvYSl20dTUpF27dum6667TWWedpZqaGg0ZMkRpaWk9th83bly3bdOmTVNJSYluvfVW77YXX3zRe1MuOjpaU6ZM0YcfftjluI8++kinnHKKad/FrnrLT398rULnjTvZwsgADAbkp8Gdn0z9Tz4xMVGRkZF9Vs5mi4mJUUxMjNxut9xutzwe7pACwJfddtttmjVrlk455RRVV1dr0aJFioyM1DXXXKPExERNmzZNs2fP1i9/+UuNHz9e1dXVKi4u1hVXXKHJkyf32Octt9yiiy66SA899JBmzpypZ555Rps3b9ajjz7qbXP77bdrzpw5+upXv6oZM2Zo/fr1+sc//tHjXVmn6S0//ePdvep56TIAGHzIT0FiDIAk469//WuXbVOnTjUKCgq8f3s8HuPkk082Fi9ePJBT+ayhocGQZKTe+mxIzgdgcDl06JBRXl5uHDp0yOpQ/DJnzhxj1KhRRnR0tHHyyScbc+bMMXbu3Ond39jYaNx8881GSkqKERUVZaSmphrXXnutUVlZ2We/zz77rDF+/HgjOjraOPvss43i4uJubf74xz8a48aNM2JjY42MjAxj7dq1ffbZ1zXu/I1vaGjw8ZvbB/kJQLCEa24yDPJTsLgMw791TpuamrRz505J0sSJE7V06VLNmDFDJ554osaMGaPVq1dr7ty5+v3vf6+pU6dq2bJlevbZZ7Vjx45uc/XMdOyd0o8++kiptz6ryl9dHbTzARicDh8+rIqKCo0dO9YxL0y1m76ucWNjoxISEtTQ0KD4+HiLIvQP+QlAsJGbQiOc8pPfwzU3b96sGTNmeP/unG8wd+5crVq1SnPmzFF9fb0WLlyompoaZWZmav369UEt8CQpPz9f+fn53gssSc2t7TouJvzGIgMAnKOn/AQAQDD5XQFlZ2f3+5LDgoICFRQUBByUWfY3t1HkAQAAABhUIqwOwCxut1vp6emaMmWKd9u7nzZYGBEAAD3nJwAAgskxRV5+fr7Ky8u1adMm77YNn+yzMCIAAHrOTwAABJNjirye/O9blVaHAMCh/FyzCn7g2gJAYPj9DK5wur6OKfIYDgMgFCIjIyVJbW1tFkfiXJ3XtvNahzvyE4Bgi4qKkiS1tLRYHImzdV7fzuttZ45ZlYTVywCEwpAhQxQXF6f6+npFRUUpIsIx98psoaOjQ/X19YqLi9OQIc5IUeQnAMEWGRmp4cOHq66uTpIUFxcnl8tlcVTOYRiGWlpaVFdXp+HDh4fFTUhnZFAACBGXy6VRo0apoqJCe/bssTocR4qIiNCYMWP4HygA4Ifk5GRJ8hZ6MN/w4cO919nuHFPkHfuyWQAIpujoaJ1++ukM2QyS6OhoRz0h7Sk/fdbUqpOOj7EwKgBO03kTcuTIkTpy5IjV4ThOVFRUWDzB6+QywmkGoQ86h8Ok3vqsImLitHvJTKtDAgCYpPM3vqGhQfHx8VaH45dj89PCKyfp+9NPtTokAIBJ7JafnHOrFACAMPHz4u1WhwAAcDCKPAAAAABwEMcXebvqm6wOAQAAAABCxjFFXm/vIfrx0+9YFBEAALwnDwAQeo4p8vLz81VeXq5NmzZ12f5BdaNFEQEA0Ht+6uhw1LpnAAAbcUyR15cH1m1X4eoyOWwhUQBAGFu9ucrqEAAADjUoirxHSz/RX975tz6uY34eAMAeFvzlPatDAAA41KAo8jq1tXdYHQIAAAAABJVjijwmtgMA7Ij8BAAINccUeb1NbD8WU/IAAKHmS34CAMBMjinyfGGIKg8AAACAsw2uIo8aDwBgI9UHDlkdAgDAgQZXkWd1AAAAHCP3V6VWhwAAcKBBVeR18CgPAGAjB1vbrQ4BAOBAg6rIo8YDAAAA4HSDqshjwCYAAAAAp3NMkefLe4h4kgcACLX+8tMRT0eIIwIAOJ1jijyf3pMXwngAAJD6z08rX68IcUQAAKdzTJHnC57kAQDsZvFzO6wOAQDgMIOqyDt8xGN1CAAAAAAQVIOqyNu0e7/VIQAAAABAUA2qIu+3L++0OgQAAAAACKpBVeRJUvWBQ3qxvFYGE/QAADbR2s50AgCAeQZdkXfBkpc1/4nNWvnGbqtDAQAMQtlnjOi27ZUd9RZEAgBwKtsVeVVVVcrOzlZ6errOPfdcrVmzJqB+Zp07qs/99/2zPKB+AQAYiP++9Mxu2374v1ssiAQA4FS2K/KGDBmiZcuWqby8XC+88IJuvfVWNTc3+93PrTnj+23zQXVDICECABCw1BPjrA4BAOBwtivyRo0apczMTElScnKyEhMTtX+//6tiJiXE6rwxw/tsU33gcAARAgAAAIB9+V3klZaWatasWUpJSZHL5dLatWu7tXG73UpLS1NsbKyysrK0cePGgILbsmWLPB6PUlNTAzr+oW9m9rnf08HiKwAAAACcxe8ir7m5WRkZGXK73T3uX716tQoLC7Vo0SJt3bpVGRkZys3NVV1dnbdNZmamJkyY0O1TXV3tbbN//35df/31evTRRwP4WkeNTTyuz/0UeQAAAACcZoi/B+Tl5SkvL6/X/UuXLtX8+fM1b948SdLy5ctVXFyslStXqqioSJJUVlbW5zlaW1s1e/ZsFRUV6YILLui3bWtrq/fvxsZGH7+JdNfa9zQl7QSNjI/1+RgAAHzRV3564IpzdOdf3+vSvt3ToSGRtptFAQAIQ6Zmk7a2Nm3ZskU5OTlfnCAiQjk5OdqwYYNPfRiGoRtuuEEXX3yxrrvuun7bL168WAkJCd6PP0M7D7Qc0S3PlPncHgAAX/WVn66ePLpb+9d27gtleAAABzO1yNu3b588Ho+SkpK6bE9KSlJNTY1PfbzxxhtavXq11q5dq8zMTGVmZuq9997rtf2CBQvU0NDg/VRVVfkV85bKz/1qDwCAL/rKT1E9PLGb99imUIYHAHAwv4drBtuFF16ojo4On9vHxMQoJiZGbrdbbrdbHo+ny/7l35nU5/uH2tp9PxcAAL7qLz8BABAspj7JS0xMVGRkpGpra7tsr62tVXJyspmn6iY/P1/l5eXatKnrndCvpSf1cgQAAMHXW34CACBYTC3yoqOjNWnSJJWUlHi3dXR0qKSkRNOmTTPzVN243W6lp6drypQpXbZHRLj6PbaDVTYBAEHSW37qydp3/h2CiAAATud3kdfU1KSysjLvCpkVFRUqKytTZWWlJKmwsFArVqzQ448/ru3bt+umm25Sc3Ozd7XNYBnIndLZv3sjCBEBANB7fvr1tzK7tb11dVloggIAOJrfc/I2b96sGTNmeP8uLCyUJM2dO1erVq3SnDlzVF9fr4ULF6qmpkaZmZlav359t8VY7OTdTxuUVlSs3UtmWh0KAGCQyD2752kMvEoBADBQfhd52dnZMoy+hzcWFBSooKAg4KACYcbE9t37mpXWzwvUAQDwR2/5KTYqssf2D77wkYryzgxFaAAAh3IZ/VVsYaaxsVEJCQlqaGhQfHy8JOkf26p189Pv+HQ8T/MAwL56+o0PFz3FnlZU3GNbchEAhBe75adBMR7k6+eOsjoEAAAAAAgJxxR5fa1e5nL1v8Jmp3YP780DAJjHn9U1AQAwg2OKPLPeQ/RBdaNJEQEAEFh+Onj4SBAjAgA4nWOKPLM8s6nK6hAAAIPEA1ec0+P2H/s4jxwAgJ44psgzazjM0xsrTYoIAIC+89MVE0/u8ZhXPqwPdlgAAAdzTJHX33CYRbPSfe7rrU8+MyssAMAg11d+Ghrd82sUAAAYCMcUef355uRUn9t+69G39FlTaxCjAQAAAIDgGDRF3nEx/r33/bY124IUCQAA/as+cKjL33f8aZsuf/h1HWEVaABAPwZNkeevVz6sV3Nru9VhAAAc7vSRx/e4/YIlL3f5+9nNn+rdTxv05i6mFAAA+uaYIi8Y7yH6xiNvmtYXAGBw6i8/Ff94eq/H7m041G1b/UGmEwAA+uaYIs+s9+Qda0fNQdP6AgAMTv3lp+ghvafiaYtf7raN6QQAgP44psjzxTs//Q+/jznQ0haESAAA+MLD357Y677DRzzdtm3Z87l21DQGMyQAQBgbVEXeCcdF+33Mt1e8HYRIAAD4wtfPTel135k/Xd9t2zceeVOXLntN+5u5EQkA6G5QFXmSdPGZI/1qX763UWlFxXr30wPBCQgAgAB9+nmL1SEAAGzIMUWerwuvrLwhsIVZLn/4DR08fCSgYwEAg1cwFgbrZBimdwkAcADHFHnBWHjly678HattAgD842t+eujqjF73tffybjxD0hFPhwyqPQDAMRxT5Pnj99dNCui4j+uaTI4EAICjrjzv5F733fJMWY/bZ7vf0Ol3PaexC9YFKSoAQDgalEVe7tnJAR97qK37KmcAAAyUy+XqdV/xe3tDGAkAINwNyiJvIM5auF5pRcU9LmkNAAAAAFajyAtQT0taAwAAAIDVBm2Rd1x05ID72LLncxMiAQDgqPtmTwj4WMMw9GHNQbW197xICwBg8Bi0Rd4rt2UPuI9vPMJqmwAA81wzJTXgY9ds+VS5y0r1vceDt8o0ACA8OKbI8/c9RCPjY00572dNrab0AwBwJn/y05DIwNPyqjd2S5Je+3hfwH0AAJzBMUVeKN6T15NJP39Jj7+5O6TnBACEj1DlJ96UBwDo5Jgiz0qL/v6B3tjJnVMAwMDtXjLTlH4aWo7o1Q/ren2ROgDAuQZ1kVex+DLT+rr2D2+b1hcAYHBb/p3zBtzHN5a/qRse26Q/vl5hQkQAgHAyqIs8l8ulnffnmdZfWlGxaX0BAAavSyeMGnAfO+uaJEl/31Y94L4AAOFlUBd50sAmuffk3U8PmNofAAAAAPhj0Bd5kvTsD6aZ1tflD7+htKJi7W9uM61PAMDgc/rI4/1qbxg9L73Sufmdys/1zMbKXtsBAJyDIk/SlLQTTO/zvPteNL1PAMDg8cyN5/vVvqOf4u2K372por+8xysWAGAQsF2Rd+DAAU2ePFmZmZmaMGGCVqxYEfRzulyuoPSbVlSspS9+FJS+AQDOdtLxMX61/6i2qcftXy79dtX33A4A4BxDrA7gy4YNG6bS0lLFxcWpublZEyZM0JVXXqmTTjrJ6tAC8puSj/Wbko9NWxIbAAB/fHl4JqM1AcD5bPckLzIyUnFxcZKk1tZWGYYRkvkDZs7L6wkrbwIA/LXi+smm90mNBwDO53eRV1paqlmzZiklJUUul0tr167t1sbtdistLU2xsbHKysrSxo0b/TrHgQMHlJGRodGjR+v2229XYmKiv2H6berYE4N+jrc/+Szo5wAAOMd/pCfpwaszBtTHl++TsvAKADif30Vec3OzMjIy5Ha7e9y/evVqFRYWatGiRdq6dasyMjKUm5ururo6b5vO+XZf/lRXH32Xz/Dhw7Vt2zZVVFToqaeeUm1tbYBfz17mPPqW/vtP71odBgAgjFw1abTW3zrdr2Mu+p9X/Gp/qM2jD2sO+nUMAMC+/J6Tl5eXp7y83l8gvnTpUs2fP1/z5s2TJC1fvlzFxcVauXKlioqKJEllZWU+nSspKUkZGRl67bXXdNVVV/XYprW1Va2trd6/Gxsbffwm3VUsvkxjF6wL+HhfrN5cpdWbq7TrgcsUGRGcBV8AANYzMz+dmRzvV/s9n7V4/22o/zl5sx5+XTvrmvTHuZN1yVlJAcUIALAPU+fktbW1acuWLcrJyfniBBERysnJ0YYNG3zqo7a2VgcPHr2b2NDQoNLSUp1xxhm9tl+8eLESEhK8n9TU1IDjd7lcIVsg5bQ7g1tMAgCsZWZ+CraddUdX3PzrO/+2OBIAgBlMLfL27dsnj8ejpKSudwGTkpJUU1PjUx979uzR9OnTlZGRoenTp+vmm2/WOeec02v7BQsWqKGhwfupqqoa0HcIpXZPh9UhAACCxC75qducPJZeAQDHs90rFKZOnerzcE5JiomJUUxMjNxut9xutzwez4Bj+OuPLtAVv3tzwP30Z9xdz0mSMlOHa23+V4J+PgBA6Jidn84/9US99cl+v4/7uK6py2IrrLsCAM5n6pO8xMRERUZGdlsopba2VsnJyWaeqpv8/HyVl5dr06ZNA+5r4pgTTIjId2VVB/Tp5y3ydJB5AcBpzMpPT88/P+Bjj51v7k+mqW08rGc3V+nwkYHfQAUAhI6pRV50dLQmTZqkkpIS77aOjg6VlJRo2rTgvofO7XYrPT1dU6ZMCep5guXCX7yi0+5cp7SiYr1Y7ozVRAEA5uUnl8ulisWX6Y2iiwfUT19P8r68a9ZvX9cdf3pXv3rpowGdEwAQWn4XeU1NTSorK/MOqayoqFBZWZkqKyslSYWFhVqxYoUef/xxbd++XTfddJOam5u9q20Gi5lP8iSpbOF/mNJPIOY/sZn5egDgEGbmJ5fLpZOHDx1QH/7Myas7eHR10Je31/XTEgBgJ34XeZs3b9bEiRM1ceJESUeLuokTJ2rhwoWSpDlz5ujBBx/UwoULlZmZqbKyMq1fv77bYix2NzwuWut+7N97icw07q7n9Nx7e9XBEE4AwJckHh8T8LGdK2n6q+7gYe1rau2/IQDAcn4XednZ2TIMo9tn1apV3jYFBQXas2ePWltb9fbbbysrK8vMmHsUjOGa6SnxIXulQk9u+n9bdeqd6/Tp5y39NwYA2FIw8tOmuy4J+Ni/bPX/NQmt7R2aen+JJv/8JUaaAEAYMHVOnpXMHq55rNNGHGd6n/648BevWHp+AEDggpGfXC7XgI6/9Zl3ei7Wehk88tkxT/BaWIQFAGzPMUVeML34k4usDkFpRcVKKyrWKx8yLwIAIO164LKAj11bVq1xdz2ntKLiLtt7m6/X28yBdk+H6hoPBxwHACA4HFPkBXN1zYiIgd0xNdO8xzZpf3Ob1WEAAHwUrPwUGeHS7iUztW3R1wbUz676/ufodfSyJOc3f79BUx8oUVnVgQHFAAAwl2OKvGAO15Skj+/PC0q/gTjvvhe9T/Z21h20OhwAQB+CnZ8ShkYN6PhLHvpXv22OLfGOve25tfKAJOnZzVUDigEAYC7HFHnBFhUZod1LZlq6EEtPcpaWqq7xsP7n+R0Br5gGAIAk7WvqeaSI0dfL9dT3u/cAAKHnmCIv3F+GPhBTHyiR+5Vdyln6L1biBACbCUV+WnnDZFP62Vixv8ft/RdxVHkAYCeOKfKCPRzmWHZ7mncsVuIEAHsJRX66+Ezz3kVb9Od3VXew62IqgZRwT2zYrTm/36CDh4+YExgAwGeOKfLwhQMtbfr5P8utDgMAEEJmTSl4ZlOVpt5foj++XuHdduzCKz29vqGnJ30L//aB3q7Y36UfAEBoUOQFqGJx4EtXB1vmz17UH16vUFpRcb/zKAAA6Ml9x9ws7C+V9LX/UBvv1QOAUKPIC5DLdXTp6umnJ1odSp/GLlhndQgAgBD6ZADvzwtUb+/Xk9R1OU4AQEg4psizauGVJ7+XFdLzAQDCS6jzU0SES7d9bXxIztWpryd5Lqo8AAg5xxR5oVx45ctevS075OcEAIQHK/JTwcWna/eSmXqp8CLT+36xvKbbtr5Gc/YwhQ8AEGSOKfKslJZ4nNUhAADQzbiRx5ve509Wb1NaUXGXbX0/yQMAhBpFnkl2L5mpD+7NtToMAAC6+J+rzg1Kv0tf/Mj7777m5PEkDwBCjyLPRMfFDLH1qpsAgMHn6smp2r1kpjbdlWNqv78p+fiLP/p4khdBlQcAIeeYIs+qhVe+zOVyKWN0gqUxAADswy75acSwmKD1XXewVfub23rcR4kHAKHnMhz2IrXGxkYlJCSooaFB8fHxlsbS1NquCYuetzQGSaa8HBcA7MBOv/H+skPsochLnTmnc97ejy8ep8KvnRHUcwKA1ezwG38sxzzJs6PjY4bozzddYHUYAABIOpqXHrn2vKCeI+PeF3TnX9/z/u1iuCYAhBxFXpBNOuUEq0MAAMAr75xR2r1kpuZPHxuU/hsOHdFTb1d6/6bGA4DQo8gLAYZLAgDs5q6Z6SE5z6EjnpCcBwDwBYq8ENm9ZCYrbwIAbOXj+/OCfo7f/+sTXb38zaCfBwDwBYq8EHK5XHrltmyrwwAAQJIUFRmh3UtmBn3Eyabdnwe1fwBAVxR5ITY28TirQwAAoJvsM0ZYHQIAwCSOKfLs8h4iXzBsEwAGj3DJT6vmTdXuJTP1yQPkKAAId7wnz2Kd7xEKJhZ+AeAU4fYbf6xwiv3HT7+jv2+rNrVPchEAJ7Pbb7xjnuSFK+6YAgDs5jfXTNQT352qqyeNtjoUAEAAhlgdwGAXEeHqcnczFE/2AADoz1fHj9BXx49Q1qkn6bY126wOBwDgB57k2czbd15idQgAAHhdxdM8AAg7PMmzmaT4WH0tPUkvlNdaHQoAAJKOzqerP9iqEcNiGHECAGGAJ3k29Oj1k0Py3iIAAHw1YliMJGn5dyZZHAkAoD8UeTb3h+snWx0CAABel05I1u4lM7X1p/9hdSgAgF7YtshraWnRKaecottuu83qUCyVk56kn+SMtzoMAAC6OPG4aO2471KrwwAA9MC2Rd7999+v888/3+owbOGWnNN5QS0AwHZioyK1e8lMbb47x+pQAADHsGWR9/HHH2vHjh3Ky8uzOhRbiYhwaduir0mSSv7rIoujAQDgqMTjY1SxmBuRAGAXfhd5paWlmjVrllJSUuRyubR27dpubdxut9LS0hQbG6usrCxt3LjRr3PcdtttWrx4sb+hDQoJQ6O0e8lMnTbieBZmAQDYhst19L2v793zNX30c27SAoCV/C7ympublZGRIbfb3eP+1atXq7CwUIsWLdLWrVuVkZGh3Nxc1dXVedtkZmZqwoQJ3T7V1dX629/+pvHjx2v8eOah+WL3kpnacneOnv3BNKtDAQBAw2KjFD0kQt/OGuPd9s3JvGsPAELJ7/fk5eXl9TmMcunSpZo/f77mzZsnSVq+fLmKi4u1cuVKFRUVSZLKysp6Pf6tt97SM888ozVr1qipqUlHjhxRfHy8Fi5c2GP71tZWtba2ev9ubGz09yuFvZOOj9FJx8dYHQYA4BiDPT89cMU5ihkSocfe2O19/QIAIDRMnZPX1tamLVu2KCfniwnYERERysnJ0YYNG3zqY/HixaqqqtLu3bv14IMPav78+b0WeJ3tExISvJ/U1NQBf49w9WbRxd22ZaQOD30gAADyEwDAMn4/yevLvn375PF4lJSU1GV7UlKSduzYYeapvBYsWKDCwkLv342NjYM2kaYMH+qdp+fpMGQYhiJcLoujAoDBifwEALCKqUWe2W644YZ+28TExCgmJkZut1tut1sejyf4gYWByAiXJAo8ALAK+ekLhmF1BAAwuJg6XDMxMVGRkZGqra3tsr22tlbJyclmnqqb/Px8lZeXa9OmTUE9DwAA/hjM+cnFzUYAsISpRV50dLQmTZqkkpIS77aOjg6VlJRo2rTgrv7odruVnp6uKVOmBPU8AAD4g/wEAAg1v4u8pqYmlZWVeVfIrKioUFlZmSorKyVJhYWFWrFihR5//HFt375dN910k5qbm72rbQbLYL5TCgCwL/ITACDU/J6Tt3nzZs2YMcP7d+ek8rlz52rVqlWaM2eO6uvrtXDhQtXU1CgzM1Pr16/vthgLAAAAAMB8fhd52dnZMvqZQV1QUKCCgoKAgwoEE9sBAHZEfgIAhJqpc/KsxHAYAIAdkZ8AAKHmmCIPAAAAAOCgIo/VywAAdkR+AgCEmmOKPIbDAADsiPwEAAg1vxdeAQAA8MWPLxmn716YpmExUVaHAgCDCkUeAAAIiuFx0RoeF211GAAw6DhmuCZzHgAAdkR+AgCEmsvo76V3YaaxsVEJCQlqaGhQfHy81eEAAEwUzr/x4Rw7AKBvdvuNd8yTPAAAAAAARR4AAAAAOIpjFl5xu91yu91qb2+XdPSRKQDAWTp/28NppgH5CQCcz275yXFz8j755BOddtppVocBAAiiXbt26dRTT7U6DL+QnwDA+eySnxzzJK/TiSeeKEmqrKxUQkKCxdHYX2Njo1JTU1VVVWWLSaJ2xrXyD9fLd1wr3zU0NGjMmDHe3/pwQn7yHf+d8B3Xyj9cL99xrfxjt/zkuCIvIuLoNMOEhAT+H9IP8fHxXC8fca38w/XyHdfKd52/9eGE/OQ//jvhO66Vf7hevuNa+ccu+ckeUQAAAAAATEGRBwAAAAAO4rgiLyYmRosWLVJMTIzVoYQFrpfvuFb+4Xr5jmvlu3C+VuEce6hxrXzHtfIP18t3XCv/2O16OW51TQAAAAAYzBz3JA8AAAAABjOKPAAAAABwEIo8AAAAAHAQijwAAAAAcBCKPAAAAABwEIo8AAAAAHAQijwAAAAAcBCKPAAAAABwEIo8AAAAAHAQijwAAAAAcBCKPAAAAABwEIo8AAAAAHCQIVYHYLaOjg5VV1dr2LBhcrlcVocDADCRYRg6ePCgUlJSFBERXvcpyU8A4Fx2y0+OK/Kqq6uVmppqdRgAgCCqqqrS6NGjrQ7DL+QnAHA+u+QnxxV5w4YNk3T0AsfHx1scDQDATI2NjUpNTfX+1ocT8hMAOJfd8pPjirzOITDx8fEkUQBwqHAc7kh+AgDns0t+sn7AKAAAAADANBR5AAAAAOAgFHkAAAAA4CCOmZPndrvldrvl8XisDgXAINDR0aG2tjarw3Ck6OhoWyw/bRbyE4BQ8ng8OnLkiNVhOE5UVJQiIyOtDsNnLsMwDKuDMFNjY6MSEhLU0NDAxHYAQdHW1qaKigp1dHRYHYojRUREaOzYsYqOju62L5x/48M5dgD2ZxiGampqdODAAatDcazhw4crOTm5x8VV7PYb75gneQAQCoZhaO/evYqMjFRqaqqjnjjZQecLw/fu3asxY8bYZpUyALC7zgJv5MiRiouL4/fTRIZhqKWlRXV1dZKkUaNGWRxR/yjyAMAP7e3tamlpUUpKiuLi4qwOx5FGjBih6upqtbe3KyoqyupwAMD2PB6Pt8A76aSTrA7HkYYOHSpJqqur08iRI20/dJNb0ADgh855VT0NJYQ5Oq8tc9gAwDedc/C4+Rhcndc3HOY8UuQBQAAYBhM8XFsACAy/n8EVTteXIg8AAAAAHMSWRd4VV1yhE044QVdddZXVoQCAY5SWlmrWrFlKSUmRy+XS2rVrTen31Vdf1XnnnaeYmBiNGzdOq1at6rL/nnvukcvl6vI588wzTTk3ACC8kZuCw5ZF3i233KInnnhiQH3sqm8yKRoAcIbm5mZlZGTI7Xab1mdFRYVmzpypGTNmqKysTLfeequ+//3v6/nnn+/S7uyzz9bevXu9n9dff920GAAA4YvcFBy2XF0zOztbr7766oD62NtwWBPNCQcAHCEvL095eXm97m9tbdVdd92lp59+WgcOHNCECRP0i1/8QtnZ2b0es3z5co0dO1YPPfSQJOmss87S66+/rl/96lfKzc31thsyZIiSk5NN+y4AAGcgNwWH30/yfHmk6na7lZaWptjYWGVlZWnjxo1mxOoXh73jHYBNGYahlrZ2Sz5m/84VFBRow4YNeuaZZ/Tuu+/q6quv1qWXXqqPP/6412M2bNignJycLttyc3O1YcOGLts+/vhjpaSk6NRTT9W1116ryspKU2MHAHRlVX4iN9mD30/yOh+pfve739WVV17Zbf/q1atVWFio5cuXKysrS8uWLVNubq4+/PBDjRw5UpKUmZmp9vb2bse+8MILSklJCeBrdHfP3z/QzEmnmdIXAPTm0BGP0hc+33/DICj/Wa7ios0ZkFFZWanHHntMlZWV3t/h2267TevXr9djjz2mBx54oMfjampqlJSU1GVbUlKSGhsbdejQIQ0dOlRZWVlatWqVzjjjDO3du1f33nuvpk+frvfff1/Dhg0zJX4AQFdW5Sdykz34/Z9Af49Uly5dqvnz52vevHmSjj4uLS4u1sqVK1VUVCRJKisrCyzaHrS2tqq1tdX7d2NjoySptrG1t0MAAF/y3nvvyePxaPz48V22t7a2el+se/zxx3u3f+c739Hy5ct96vvYnHHuuecqKytLp5xyip599ll973vfMyF6e+otP9UfPKz4+HirwgKAsEFuCpypc/La2tq0ZcsWLViwwLstIiJCOTk53R6PmmXx4sW69957g9I3APRnaFSkyn+W23/DIJ3bLE1NTYqMjNSWLVsUGdm1384EeuwNus4iJTk5WbW1tV3a19bWKj4+XkOHDu3xXMOHD9f48eO1c+dO0+K3o97yU0eHBcEAGHSsyk/kJnswtcjbt2+fPB5Pj49Hd+zY4XM/OTk52rZtm5qbmzV69GitWbNG06ZN67HtggULVFhY6P27sbFRqampgX0BAPCTy+UybViKlSZOnCiPx6O6ujpNnz69xzbjxo3rtm3atGlat25dl20vvvhir7/Z0tGkvWvXLl133XUDC9rmyE8ArOSE/ERuCpwt/5N/6aWXfG4bExOjmJgYud1uud1ueTyeIEYGAOGrqampyx3KiooKlZWV6cQTT9T48eN17bXX6vrrr9dDDz2kiRMnqr6+XiUlJTr33HM1c+bMHvv84Q9/qIcfflh33HGHvvvd7+rll1/Ws88+q+LiYm+b2267TbNmzdIpp5yi6upqLVq0SJGRkbrmmmuC/p2t1Ft+qvq8RadT6wGAJHJT0BgDIMn461//6v27tbXViIyM7LLNMAzj+uuvNy6//PKBnMpnDQ0NhiQj9dZnQ3I+AIPLoUOHjPLycuPQoUNWh+K3V155xZDU7TN37lzDMAyjra3NWLhwoZGWlmZERUUZo0aNMq644grj3Xff7bffzMxMIzo62jj11FONxx57rMv+OXPmGKNGjTKio6ONk08+2ZgzZ46xc+fOXvvr6xp3/sY3NDT4/f2t1hn7r9eVWR0KAIchN/Xcr5m5yTDCKz+5DCPwdU5dLpf++te/avbs2d5tWVlZmjp1qn77299Kkjo6OjRmzBgVFBR4F14JpsbGRiUkJCj11mdV+aurg34+AIPL4cOHVVFRobFjxyo2NtbqcBypr2vc+Rvf0NAQdouXdMZ+4X3/1Gt393z3GQACQW4KjXDKT34P1+zrkeqYMWNUWFiouXPnavLkyZo6daqWLVum5uZm72qbwcJwTQCAHX05P+35rMXiiAAATud3kbd582bNmDHD+3fnpPK5c+dq1apVmjNnjurr67Vw4ULV1NQoMzNT69ev77YYi9ny8/OVn5/vraIBALAD8hMAINT8LvKys7P7fZN9QUGBCgoKAg4qED09yWs8fETxsVEhjQMAgGMx0gQAEGoRVgdglvz8fJWXl2vTpk3ebfsO8kJ0AIC1espPAAAEk2OKvJ68XbHf6hAAAAAAIKQcU+S53W6lp6drypQp3m0vltf2cQQABG4ACxOjH067tj3lJwAIBqf9ftpNOF1fxxR5PQ2HeXlHnYURAXCiyMhISVJbW5vFkThX57XtvNbhjuGaAIItKuroGhQtLazeG0yd17fzetuZ3wuvAMBgNmTIEMXFxam+vl5RUVGKiHDMvTJb6OjoUH19veLi4jRkCCkKAHwRGRmp4cOHq67u6AOOuLg4uVwui6NyDsMw1NLSorq6Og0fPjwsbkKSQQHADy6XS6NGjVJFRYX27NljdTiOFBERoTFjxjj6f6B4OgxFRjj3+wEIveTkZEnyFnow3/Dhw73X2e4cU+SxRDWAUImOjtbpp5/OkM0giY6OdtQT0p7yU8W+Zo0bebyFUQFwms6bkCNHjtSRI0esDsdxoqKiwuIJXieXEU4zCH3Q+bLZ1FufVURMnHYvmWl1SAAAk3T+xjc0NCg+Pt7qcPxybH665NxT9Ni8qVaHBAAwid3yk3NulQIAECZe+bDe6hAAAA7m+CKvrb3D6hAAAAAAIGQcU+T19h6iF8prLIoIAADekwcACD3HFHm9vYfo1mfKrAkIAADxnjwAQOg5psjrTXuHo9aVAQAAAIA+Ob7IAwAAAIDBhCIPAAALtLS1Wx0CAMChKPIAALDAtqoGq0MAADiUY4o8Vi8DANhRb/npgXXbLYoIAOB0jinyWL0MAGBHveWn9/7NkzwAQHA4psjry5Y9n1sdAgAAAACExKAo8hb+7X2rQwAAAACAkBgURd4H1Y1WhwAAAAAAITEoijwAAAAAGCwo8gAAsMjhIx6rQwAAOBBFHgAAFnlj5z6rQwAAOJBjijzekwcAsKO+8tPNT79jQUQAAKdzTJHX33vyGlqOhDgiAAD6zk8tbQzXBACYzzFFXn9+XfKx1SEAAAAAQNANsTqAUFn5RoXe/fSActKT9MOLTrM6HAAAAAAIikHzJE+SNu/5XEue22F1GAAAAAAQNIOqyAMAwG4Mw7A6BACAwzi2yDt95PFWhwAAQL/e3PWZ1SEAABzGdkVeVVWVsrOzlZ6ernPPPVdr1qwJqJ+zU+JNjgwAAPNd+4e3rQ4BAOAwtlt4ZciQIVq2bJkyMzNVU1OjSZMm6bLLLtNxxx3nVz8RLleQIgQAAAAA+7JdkTdq1CiNGjVKkpScnKzExETt37/f7yLvuFjbfTUAAAAACDq/h2uWlpZq1qxZSklJkcvl0tq1a7u1cbvdSktLU2xsrLKysrRx48aAgtuyZYs8Ho9SU1P9PvYHXz01oHMCABBMTCcAAASb30Vec3OzMjIy5Ha7e9y/evVqFRYWatGiRdq6dasyMjKUm5ururo6b5vMzExNmDCh26e6utrbZv/+/br++uv16KOPBvC1pOFx0QEdBwBAMBXlndltW0tbu977tEHXPPqWtlUdCH1QAABH8XtMY15envLy8nrdv3TpUs2fP1/z5s2TJC1fvlzFxcVauXKlioqKJEllZWV9nqO1tVWzZ89WUVGRLrjggn7btra2ev9ubGz08ZsAABA8veWnc05O6Nb2Vy9+pCff2qPDRzr0jUfe1M4HLgtZnAAA5zF1dc22tjZt2bJFOTk5X5wgIkI5OTnasGGDT30YhqEbbrhBF198sa677rp+2y9evFgJCQnez7FDO/8jPcn/LwEAgAl6y09DIrun3hWvVejwkQ5JUnsH780DAAyMqUXevn375PF4lJTUtbhKSkpSTU2NT3288cYbWr16tdauXavMzExlZmbqvffe67X9ggUL1NDQ4P1UVVV5990986w+z8ULaAEAwdJXfgIAIJhstwTlhRdeqI6ODp/bx8TEKCYmpsd9p5zU+4qcC//2vl7eUafnbpmuYbFRfscJAEBf+spPAAAEk6lP8hITExUZGana2tou22tra5WcnGzmqbpxu91KT0/XlClTfGr/xIY9+vTzQ1qz+dOgxgUAGNz8zU8AAAyUqUVedHS0Jk2apJKSEu+2jo4OlZSUaNq0aWaeqpv8/HyVl5dr06ZNQT0PAAD+ID8BAELN7yKvqalJZWVl3hUyKyoqVFZWpsrKSklSYWGhVqxYoccff1zbt2/XTTfdpObmZu9qm8ES6J1SlytIAQEAoJ7z012X9T1nHACAgfC7yNu8ebMmTpyoiRMnSjpa1E2cOFELFy6UJM2ZM0cPPvigFi5cqMzMTJWVlWn9+vXdFmMxmz93SusOHvb+mxoPABBMPeWnuRekWRcQAMDx/F54JTs7u99VKQsKClRQUBBwUIFwu91yu93yeDxdtt8zK133/KO8y7Zfvfix998ul0uGYcjFIz0AQBD0lJ+ih5g6WwIAgC5chsPeI9DY2KiEhAQ1NDQoPj5eh9o8Omvh+n6P++DeXB0XY7vFRgEAx/jyb3w4+XLsaUXFvbbdvWRmCCMDAAyU3fKT428lDo2O9KndFb97I8iRAAAAAEDwOabIG+gS1R/VNml/c5vJUQEABjteoQAACDXHFHlmLFF96Iin/0YAAPiht/y0bE6mNQEBABzPMUVeX745ebTVIQAA0MV/Zqb0ud8wDJVVHdChNm5AAgD8MyiKvJ9+Pd3qEAAA6KK/VZ2f2lip2e439J0/vh2iiAAATuGYIq+vOQ/DYqMsiAgAgMDn5D29sVKStGXP58EICwDgYI4p8syYk+ewt0kAAGwgkPzU0dE1H/19W7WaWtvNDg0A4FCOKfIAAHCKLZVdn979+Ol3NGHR86ppOGxRRACAcEKR9yWH2jzatHu/2j0dVocCAHC4/770zB63/+wf5T1uX//+3mCGAwBwCMcUef3NefjO+WP67cMwpLMWrtfVyzdo/N3PmR0iAGAQ6is/9Zab3vt3Q4/bIyL6XqwFAADJQUVef3MeCmac3m8f//qo3vvvDqbnAQBM0Fd+8ndhMEo8AIAvHFPk9Sc5IbbfNg2HjoQgEgAA+vf+vxu7b+zntQsAAEiDqMgDACDcUeIBAHxBkQcAQJi4e+372lix3+owAAA2R5F3jC+/l0g6utomAAB28c3fb7A6BACAzTmmyOtvdU1fPPTiR13+/t+39uisheuVVlTMS2gBAAHpLz+9dseMEEcEAHA6l2EYjlpHsrGxUQkJCWpoaFB8fHyXfVX7WzT9l68E3PfuJTMHGh4AYAD6+o23u75iTysq9qsv8hEA2Ivd8pNjnuT5IvXEOKtDAACgG4o2AICZBlWRJ0k778+zOgQAAEzh6TD0wLrteuGDGqtDAQDYyKAr8oZERui+2RMCOtbTYchho1sBADbxh+sn+33MP7ZV69HST3Tjk1uCEBEAIFwNuiJPkr6TNSag4067c53GLljX4yqcAAAMxMVnjvT7mL0Nh4MQCQAg3A3KIs/lGtjrZHfWN5kUCQAAR0VE+J+bBpjOAAAONSiLvIFixCYAwA6o8QAAPXFMkWfGe/J8ZYgqDwDgm2DmJ57kAQB64pgiLz8/X+Xl5dq0aVPQz8WTPACAr4KZn1zHPMt7/M3duuqRN9V4+Ijp5wEAhBfHFHn+mnBy4C8ppMgDANjBsU/yFv39A23e87n+UPqJdQEBAGxh0BZ5f7g+8GEzDNcEAATDY/N8y01pRcVqa+/ocV9Lm8fMkAAAYWjQFnnJCbEBH8uTPABAMMw4w/fXKIy/+7keV4tmnh4AYNAWeZL0vQvHWh0CAABd7F4y0+oQAABhblAXeT/9enpAyZQneQCAYFp5w2Sf2jUeYpEVAEB3tivyDhw4oMmTJyszM1MTJkzQihUrrA6pG+bkAQCC6eIzk3xq9+uSj4McCQAgHNmuyBs2bJhKS0tVVlamt99+Ww888IA+++yzoJ7z99dN8qs9T/IAAAAA2JXtirzIyEjFxcVJklpbW2UYhowgV1W5Zyf71d7XaDwdVIMAgMCcclJcQMf1tBgLAGBw8bvIKy0t1axZs5SSkiKXy6W1a9d2a+N2u5WWlqbY2FhlZWVp48aNfp3jwIEDysjI0OjRo3X77bcrMTHR3zCD6vOWtn7b/Pyf5cq89wX9+8ChEEQEAHCal/8r2+oQAABhyu8ir7m5WRkZGXK73T3uX716tQoLC7Vo0SJt3bpVGRkZys3NVV1dnbdN53y7L3+qq6slScOHD9e2bdtUUVGhp556SrW1tQF+veCY99gm/X1bdZ9t/vB6hQ62tmv5q7tU23hYb38S3CGnAABniYzgiRwAIDBD/D0gLy9PeXl5ve5funSp5s+fr3nz5kmSli9fruLiYq1cuVJFRUWSpLKyMp/OlZSUpIyMDL322mu66qqr/A3VL/dfMUF3/fV9n9v/+Ol3dHlGik9tsx4okSQ9c+P5Ov/UkwKKDwAAAAB8YeqcvLa2Nm3ZskU5OTlfnCAiQjk5OdqwYYNPfdTW1urgwYOSpIaGBpWWluqMM87otX1ra6saGxu7fALx7alj/D6mw885d29/st/vcwAAwpMZ+SmQ1/w8WvqJ38cAAJzF1CJv37598ng8SkrquvRzUlKSampqfOpjz549mj59ujIyMjR9+nTdfPPNOuecc3ptv3jxYiUkJHg/qampAcUeyET1U+9cp7SiYp8XhmEuPAAMHmblp91LZmqWjyNHOv3nw68HdC4AgDPYbnXNqVOnqqysTNu2bdO7776rH/zgB322X7BggRoaGryfqqqqgM/9wk++GtBxYxes86kd0ysAYPAwMz89cMUEv9pv+7Qh4HMBAMKfqUVeYmKiIiMjuy2UUltbq+Rk/15T4KuYmBjFx8frySef1Pnnn69LLrkk4L7GJw0LaGiMr459WvjH1yt06zPv+D3kEwAQHszMT8Nio/w+htf4AMDgZWqRFx0drUmTJqmkpMS7raOjQyUlJZo2bZqZp+omPz9f5eXl2rRp04D7+lH2aX4f8+ym/u/QRhxT5N33z3KtLavWuLt8ewoIAAhPZuYnf5z2f1MKFvzl3ZCeFwBgPb+LvKamJpWVlXlXyKyoqFBZWZkqKyslSYWFhVqxYoUef/xxbd++XTfddJOam5u9q20Gi9vtVnp6uqZMmTLgvv7ra70v9NKbO/7cfxLtaU7esTdaD7S0Bf3F7wCA0DIzPwXi6Y2BDxMFAIQnv4u8zZs3a+LEiZo4caKko0XdxIkTtXDhQknSnDlz9OCDD2rhwoXKzMxUWVmZ1q9f320xFrOZeac00HcTpRUV97m/r17f3LVPmT97UT9ZXRbQuQEA9mRWfsqbEPi0h+oDhwZ0bgBAePG7yMvOzpZhGN0+q1at8rYpKCjQnj171NraqrfffltZWVlmxmxraUXFuvnpd3rcF9HH8poPv7xTkrS2rO+XrAMABqdHvjMp4GMvWPKyOjoMRosAwCBhu9U1A2X2cJiBLMDyj209F2q8QgEABh8z89PuJTMDzk+n3rlOYxes0676pgHHAQCwN8cUecGY2L57yUw9c+P5pvXn77v4PB2GmlvbTTs/ACD0rFp4pTeXPPQvq0MAAASZY4q8YDn/1JMGdPyTb+3x/ruvEq+nETRX/u4Nnb3oee2sa2KIDQAAAACfOKbIs3r1Ml/09iCvtwKu82W2OUv/pXv+/kGwwgIABFEw8tNHP88b0PFpRcX9LhYGAAhfjinygjkcxqwXpJdXN/a43ZeHdI9v+OKJYHNru9ZsrtLnzW2mxAUACJ5g5KfoIRFaPoCFWDpR6AGAMzmmyAu23Utm6oYL0gbUx5otn/b41M7fgZh3r31ft//pXc1bdfR/MHR0MJQTAAabSycka/eSmbrzsjOtDgUAYDOOKfJCMVzznsvP1iu3ZQ+oj7EL1umIp6PLNn/n2/39/1bvLKs6oLSiYp165zruxgKATQU7P33vwlMHdHzn0M3xdz9nUkQAAKs5psgL1eplYxOPG3Afp9/VNZH6+xyug0VYACBsBDs/RUaY836etvYOHWrzmNIXAMBajinywpm/NVtv7Tfs+kyt7SRoAEBgzlq4XvUHW1nRGQDCHEVeALbcnWNqf4bfz/J6ds2Kt3TG3evVxLv1AGBQeanwItP6mnL/Sz1OLQAAhA+KvACcdHyMPnngMr3z0/8wpb9Vb+w2pZ9Od//1PVP7AwDY27iRx2v3kpmmrQYtdZ9aAAAIH0OsDsAsbrdbbrdbHk9ohitGRLh0wnHRpvS1+LkdpvTTaUfNQVP7AwAELtT5yUydi3qZWTwCAILPMU/yQrXwype9teAS0/u8evmbpvcJALBGqPNTxeLLTO+TFZwBILw4psizSnJCrOl9btr9OQkVABAQl8tl+tBNSara36JtVQdM7RMAEByOGa5ppd1LZlKUAQAcbfovX/H+u2LxZXK5zHl1AwDAfDzJM0kw7poGipWvAQCS9Oh1k4LS79gF6/RieW1Q+gYADJxjijy326309HRNmTLF0jg+vj8vaH2f9dP1PrUz65UMAICBszI/fe3s5KD1Pf+JzYxiAQCbckyRZ9XCK18WFRmhWy45PSh9HzriUVs77y0CgHBidX56/b9nSJJeu2NGUPr/r2e3qazqAC9QBwAbcUyRZyc/+Y/x2v6zS4PS9/i7eW8RAMB3o0+I0+4lM5V6YlxQ+v/z1k812/2Gxi5YF5T+AQD+o8gLkqHRkZbN0eNmKgCgJ7/+VqbVIQAAQoDVNYNs95KZam336Iy7fZtPZwZqPABAT/4z82T9Z+bJ6ugwdOqdPHkDAKfiSV4IxAyJ1K/mZITsfMyLAAD0JSKC1x8AgJNR5IXIFRNH67lbpofkXLvqm7Xns+aQnAsAEJ52L5mp42MY0AMATkSRF0JnjYrXj4O08uaXXfQ/r4bkPACA8PX+vbm2eccrAMA8jiny7PKevP4U/sd4q0MAAIRQOOSnTx64zOoQAAAmchkOm8DV2NiohIQENTQ0KD4+3upw+hTsl8hydxaA04TTb/yX2T326b98WVX7Dw2oD/IOgMHKbr/xjnmSF464cwoAsIvX7rhYu5fMVMVichMAhDuKPAtFRLi0e8lM/fIb51odCgAAkiSXy6W46EirwwAADADLatnAN6ek6ptTUmUYhsYu4L1FAABrlf/sUu+/gz21AABgPp7k2YjL5dLszBSrwwAAwOt/v5dldQgAAD9R5NnMsm9N1O4lM5m8DgCwhQtPT9Ty75xndRgAAD9Q5NlY6olDrQ4BAABdOmEUi7IAQBixbZHX0tKiU045RbfddpvVoVjmtTsu1qwMhm8CAOzB5XKpYvFl+u01E60OBQDQB9sWeffff7/OP/98q8Ow3G+vOTp8c/QJPNUDAFjP5XJpVkaKfj57gtWhAAB6Ycsi7+OPP9aOHTuUl5dndSi28fp/X2x1CAAAeH3n/FOsDgEA0Au/i7zS0lLNmjVLKSkpcrlcWrt2bbc2brdbaWlpio2NVVZWljZu3OjXOW677TYtXrzY39Acr3NBFhZlAQDYAfkIAOzJ7yKvublZGRkZcrvdPe5fvXq1CgsLtWjRIm3dulUZGRnKzc1VXV2dt01mZqYmTJjQ7VNdXa2//e1vGj9+vMaPHx/4txoEjp38zkR4AAAAAJ38fhl6Xl5en8Moly5dqvnz52vevHmSpOXLl6u4uFgrV65UUVGRJKmsrKzX49966y0988wzWrNmjZqamnTkyBHFx8dr4cKFPbZvbW1Va2ur9+/GxkZ/v1JYcrlc3EEFABsbrPkJAGA9U+fktbW1acuWLcrJyfniBBERysnJ0YYNG3zqY/HixaqqqtLu3bv14IMPav78+b0WeJ3tExISvJ/U1NQBf49wRMEHAPZCfgIAWMXvJ3l92bdvnzwej5KSkrpsT0pK0o4dO8w8ldeCBQtUWFjo/buxsXHQJlIKPQCwD/ITAMAqphZ5Zrvhhhv6bRMTE6OYmBi53W653W55PJ7gBwYAQD/ITwAAq5g6XDMxMVGRkZGqra3tsr22tlbJyclmnqqb/Px8lZeXa9OmTUE9DwAA/iA/AQBCzdQiLzo6WpMmTVJJSYl3W0dHh0pKSjRt2jQzT9WN2+1Wenq6pkyZEtTzAADgD/ITACDU/C7ympqaVFZW5l0hs6KiQmVlZaqsrJQkFRYWasWKFXr88ce1fft23XTTTWpubvauthks3CkFANgR+QkAEGp+z8nbvHmzZsyY4f27c1L53LlztWrVKs2ZM0f19fVauHChampqlJmZqfXr13dbjAUAAAAAYD6/i7zs7GwZhtFnm4KCAhUUFAQcVCCY2A4AsCPyEwAg1FxGfxVbmGlsbFRCQoIaGhoUHx9vdTgAABOF8298OMfel9vXbNOaLZ9K4lU+AAYvu/3G2/oVCgAAwN4euPIcLZyVrqhIU9dyAwAMgGN+kVm9DABgR07PT1GRERoWG6XYqEirQwEA/B+GawIAwkY4/8aHc+wAgL7Z7TfeMU/yAAAAAAAOKvKcPhwGABCeyE8AgFBjuCYAIGyE8298OMcOAOib3X7jHfMkDwAAAABAkQcAAAAAjkKRBwAAAAAO4piXobvdbrndbrW3t0s6Oi4WAOAsnb/t4TSdnPwEAM5nt/zkuIVXPvnkE5122mlWhwEACKJdu3bp1FNPtToMv5CfAMD57JKfHPMkr9OJJ54oSaqsrFRCQoLF0dhfY2OjUlNTVVVVZYuVgOyMa+UfrpfvuFa+a2ho0JgxY7y/9eGE/OQ7/jvhO66Vf7hevuNa+cdu+clxRV5ExNFphgkJCfw/pB/i4+O5Xj7iWvmH6+U7rpXvOn/rwwn5yX/8d8J3XCv/cL18x7Xyj13ykz2iAAAAAACYgiIPAAAAABzEcUVeTEyMFi1apJiYGKtDCQtcL99xrfzD9fId18p34Xytwjn2UONa+Y5r5R+ul++4Vv6x2/Vy3OqaAAAAADCYOe5JHgAAAAAMZhR5AAAAAOAgFHkAAAAA4CAUeQAAAADgIBR5AAAAAOAgFHkAAAAA4CAUeQAAAADgIBR5AAAAAOAgFHkAAAAA4CAUeQAAAADgIBR5AAAAAOAgFHkAAAAA4CBDrA7AbB0dHaqurtawYcPkcrmsDgcAYCLDMHTw4EGlpKQoIiK87lOSnwDAueyWnxxX5FVXVys1NdXqMAAAQVRVVaXRo0dbHYZfyE8A4Hx2yU+OK/KGDRsm6egFjo+PtzgaAICZGhsblZqa6v2tDyfkJwBwLrvlJ8cVeZ1DYOLj40miAOBQ4TjckfwEAM5nl/xk/YBRAAAAAIBpKPIAAAAAwEEcU+S53W6lp6drypQpVocCAIAX+QkAEGouwzAMq4MwU2NjoxISEtTQ0MCcBwBBYxiG2tvb5fF4rA7FcaKiohQZGdnjvnD+jQ/n2AGEB3JT8ERGRmrIkCG9zrmz22+84xZeAYBga2tr0969e9XS0mJ1KI7kcrk0evRoHX/88VaHAgBhg9wUfHFxcRo1apSio6OtDqVfFHkA4IeOjg5VVFQoMjJSKSkpio6Ots1KWk5gGIbq6+v16aef6vTTT+/1iR4A4AvkpuAyDENtbW2qr69XRUWFTj/9dFu88LwvFHkA4Ie2tjZ1dHQoNTVVcXFxVofjSCNGjNDu3bt15MgRijwA8AG5KfiGDh2qqKgo7dmzR21tbYqNjbU6pD7ZuwQFAJuy+x28cMbdZwAIDLkpuMLp+oZPpAAAAACAflHkAQAAAICD2LLIu+KKK3TCCSfoqquusjoUAHCExYsXa8qUKRo2bJhGjhyp2bNn68MPPzSl7zVr1ujMM89UbGyszjnnHK1bt67L/htuuEEul6vL59JLLzXl3ACA8EZ+Cg5bFnm33HKLnnjiiQH18U7l5yZFAwDh71//+pfy8/P11ltv6cUXX9SRI0f0ta99Tc3NzQPq980339Q111yj733ve3rnnXc0e/ZszZ49W++//36Xdpdeeqn27t3r/Tz99NMDOi8AwBnIT8FhyyIvOztbw4YNG1AfzW28BBIAOq1fv1433HCDzj77bGVkZGjVqlWqrKzUli1bvG0OHDig73//+xoxYoTi4+N18cUXa9u2bX32++tf/1qXXnqpbr/9dp111lm67777dN555+nhhx/u0i4mJkbJycnezwknnBCU7wkACC/kp+Dwu8grLS3VrFmzlJKSIpfLpbVr13Zr43a7lZaWptjYWGVlZWnjxo1mxAoAtmMYhlra2i35GIYRcNwNDQ2SpBNPPNG77eqrr1ZdXZ2ee+45bdmyReedd54uueQS7d+/v9d+NmzYoJycnC7bcnNztWHDhi7bXn31VY0cOVJnnHGGbrrpJn322WcBxw4A6J9V+WkguUkiP5nF7/fkNTc3KyMjQ9/97nd15ZVXdtu/evVqFRYWavny5crKytKyZcuUm5urDz/8UCNHjpQkZWZmqr29vduxL7zwglJSUgL4GgBgjUNHPEpf+Lwl5y7/Wa7iov1/3WlHR4duvfVWfeUrX9GECRMkSa+//ro2btyouro6xcTESJIefPBBrV27Vn/6059044039thXTU2NkpKSumxLSkpSTU2N9+9LL71UV155pcaOHatdu3bpzjvvVF5enjZs2MB78AAgSKzKT4HmJon8ZCa//xPIy8tTXl5er/uXLl2q+fPna968eZKk5cuXq7i4WCtXrlRRUZEkqaysLLBoe9Da2qrW1lbv342NjZKkd/Z8rsvOM+00AOAY+fn5ev/99/X66697t23btk1NTU066aSTurQ9dOiQdu3apcrKSqWnp3u333nnnbrzzjt9Ot+3vvUt77/POeccnXvuuTrttNP06quv6pJLLhngt7Gv3vJTw6Ejio+3KioAsC/yk3kCK7N70dbWpi1btmjBggXebREREcrJyen2aNQsixcv1r333ttt++9LP9FdV0wKyjkBoNPQqEiV/yzXsnP7q6CgQP/85z9VWlqq0aNHe7c3NTVp1KhRevXVV7sdM3z4cA0fPrzLDbrOYTTJycmqra3t0r62tlbJycm9xnDqqacqMTFRO3fuDPsk2pfe8tOhtu4jWQDAbFblp0Byk0R+MpupRd6+ffvk8Xh6fDS6Y8cOn/vJycnRtm3b1NzcrNGjR2vNmjWaNm1aj20XLFigwsJC79+NjY1KTU0N7AsAgJ9cLlfAw1JCyTAM3XzzzfrrX/+qV199VWPHju2y/7zzzlNNTY2GDBmitLS0HvsYN25ct23Tpk1TSUmJbr31Vu+2F198sdffbEn69NNP9dlnn2nUqFEBfZdw0Vt+6hjYdBUA8An5aXDnJ1v+J//SSy/53DYmJkYxMTFyu91yu93yeFhVEwC+LD8/X0899ZT+9re/adiwYd45CQkJCRo6dKhycnI0bdo0zZ49W7/85S81fvx4VVdXq7i4WFdccYUmT57cY7+33HKLLrroIj300EOaOXOmnnnmGW3evFmPPvqopKN3YO+991594xvfUHJysnbt2qU77rhD48aNU26uNU9AQ6W3/HS4nTwFAJ3IT0FiDIAk469//av379bWViMyMrLLNsMwjOuvv964/PLLB3IqnzU0NBiSjNRbnw3J+QAMLocOHTLKy8uNQ4cOWR2KXyT1+Hnssce8bRobG42bb77ZSElJMaKioozU1FTj2muvNSorK/vs+9lnnzXGjx9vREdHG2effbZRXFzs3dfS0mJ87WtfM0aMGGFERUUZp5xyijF//nyjpqam1/76usadv/ENDQ3+XwSLdca+bN07VocCwGHCNTcZBvkpWEx9khcdHa1JkyappKREs2fPlnR0lZySkhIVFBSYeapueJIHAL0zfFjSetiwYfrNb36j3/zmN371ffXVV+vqq6/ucd/QoUP1/PPWrD5qF1/OT0c8jNcEgE7kp+Dw+z15TU1NKisr805wrKioUFlZmSorKyVJhYWFWrFihR5//HFt375dN910k5qbm72rbQZLfn6+ysvLtWnTpqCeBwAAf3w5P/1l678tjggA4HR+P8nbvHmzZsyY4f27c1L53LlztWrVKs2ZM0f19fVauHChampqlJmZqfXr13dbjAUAgMHo088PWR0CAMDh/C7ysrOz+32sWlBQEPThmV/W03DN2sbDSoqPDWkcAAAci+kEAIBQ83u4pl31NFzzQMsRCyMCAIDpBACA0HNMkdeT597fa3UIAAAAABBSjiny3G630tPTNWXKFO+2dz9tsDAiAE7my2pgCIzTrm1P+QkAgsFpv592E07X1zFFXk/DYV7eUWdhRACcKCoqSpLU0tJicSTO1dbWJkmKjIy0OBJzMFwTQLCRm0Kj8/p2Xm87M/U9eQDgdJGRkRo+fLjq6o7eRIqLi5PL5bI4Kufo6OhQfX294uLiNGQIKQoAfEFuCi7DMNTS0qK6ujoNHz48LG5CkkEBwE/JycmS5E2mMFdERITGjBnj6P+Bsq+pVYnHx1gdBgAHITcF3/Dhw73X2e4cU+SxRDWAUHG5XBo1apRGjhypI0dYxdds0dHRiohwzGyCHvPT9r2Nmn76CAujAuA05KbgioqKCosneJ1cRjjNIPRBY2OjEhISlHrrs4qIidPuJTOtDgkAYJLO3/iGhgbFx8dbHY5fjs1P/335ROXPGGd1SAAAk9gtPznnVikAAGFi+b92WR0CAMDBKPIAAAixg4fbrQ4BAOBgjinyeA8RAMCOyE8AgFBzTJHX23uIOjocNeUQABBmeE8eACDUHFPk9ea9fzdYHQIAAAAAhIzji7wn39pjdQgAAAAAEDKOL/L+tOVTq0MAAAAAgJBxfJEHAAAAAIOJY4o8Vi8DANgR+QkAEGqOKfJYvQwAYEe95aeDh49YFBEAwOkcU+QBABBOtlYesDoEAIBDUeQBAGCBpS98aHUIAACHGhRFnmHwQnQAgL1s+5T3uAIAgmNQFHkbdn1mdQgAAAAAEBKDoshb+PcPrA4BAAAAAEJiUBR5O+uatOS5HXK/stPqUAAAAAAgqBxT5PX3HqLl/9ql/3n+Q3k6mJ8HAAidvvLTEU+HBREBAJzOMUWer+/Ja+8goQIAQqev/FT6Ub0FEQEAnM4xRZ6vlr/6idUhAAAgSfre45utDgEA4ECDrsh77M0Kq0MAAAAAgKAZdEXegZYjVocAAAAAAEEz6Io8AAAAAHAyijwAAAAAcBDbFXlVVVXKzs5Wenq6zj33XK1Zs8bqkAAACJp2XqMAADCZ7Yq8IUOGaNmyZSovL9cLL7ygW2+9Vc3NzVaHBQBAUPzvW3usDgEA4DC2K/JGjRqlzMxMSVJycrISExO1f/9+v/s5c9SwXve1tLUHGh4AAKa65x/lVocAAHAYv4u80tJSzZo1SykpKXK5XFq7dm23Nm63W2lpaYqNjVVWVpY2btwYUHBbtmyRx+NRamqq38eeldx7kVe4eltA8QAAAACA3fld5DU3NysjI0Nut7vH/atXr1ZhYaEWLVqkrVu3KiMjQ7m5uaqrq/O2yczM1IQJE7p9qqurvW3279+v66+/Xo8++mgAX0tKT4nvdd/6D2pU13g4oH4BAAAAwM6G+HtAXl6e8vLyet2/dOlSzZ8/X/PmzZMkLV++XMXFxVq5cqWKiookSWVlZX2eo7W1VbNnz1ZRUZEuuOCCftu2trZ6/25sbJQkXT0pVYtfquz1uJ/9s1wPf/u8PvsGACBQveWnnhiGIZfLFYqwAACDgKlz8tra2rRlyxbl5OR8cYKICOXk5GjDhg0+9WEYhm644QZdfPHFuu666/ptv3jxYiUkJHg/nUM7h0T2/dX2N7f5FA8AAIHoLT/15I2dn4UwMgCA05la5O3bt08ej0dJSUldticlJammpsanPt544w2tXr1aa9euVWZmpjIzM/Xee+/12n7BggVqaGjwfqqqqnw6DzdMAQDB5E9++s4f3w5hZAAAp/N7uGawXXjhhero8P2dQTExMYqJiZHb7Zbb7ZbH4wlidAAA+Ib8BACwiqlP8hITExUZGana2tou22tra5WcnGzmqbrJz89XeXm5Nm3a5N224vrJvbZ3iUd5AIDg+3J+uvnicRZHBABwOlOLvOjoaE2aNEklJSXebR0dHSopKdG0adPMPJVPcs4aGfJzAgDQlx9cdJrVIQAAHM7v4ZpNTU3auXOn9++KigqVlZXpxBNP1JgxY1RYWKi5c+dq8uTJmjp1qpYtW6bm5mbvapvB0tNwGFYqAwBYjeGaAIBQ87vI27x5s2bMmOH9u7CwUJI0d+5crVq1SnPmzFF9fb0WLlyompoaZWZmav369d0WYzFbfn6+8vPz1djYqISEhH7bU/8BAELB1/zU7ulQWdUBPbWxUgvyztKIYTEhjBIA4CR+F3nZ2dkyDKPPNgUFBSooKAg4qEBwpxQAYEc95adHr5ukG5/c0qXdjpqDumr50dcNtbR6tPy6SSGNEwDgHKbOybNSTwuvSNJI7oQCACzUU376j/Tuo1vu+2e599+7P2sOSWwAAGdyTJHXm7X5X+lxO/P1AABW6SkHvV2x34JIAABO5Jgiz+12Kz09XVOmTOmyPWX4UIsiAgCg9/wEAECwOKbI6224Zm9KP6oPckQAAPifnwAAGCjHFHmB+POWT60OAQAwSOWeHdxVpwEAg9egKPKOi47scft/rdkW4kgAADhq6TczrQ4BAOBQjiny+prz8PJt2aEPCAAA9Z6fjovx+y1GAAD4xDFFXl9zHpLiYy2ICAAA5uQBAELPMUVeoBoOHbE6BAAAAAAwzaAv8v7f23usDgEAAAAATOOYIi/Q9xD9cv2HQYoIAIDA8tPBw+1BjAgA4HSOKfL6m/OQkTo8tAEBAKDA5uT9+8ChIEYEAHA6xxR5/Vk0K93qEAAA8FlaUbHVIQAAwtSgKfLOPTmh131T738phJEAAOAbwzCsDgEAEIYGTZE3JLL3r1p3sJU7pgAA2/mgutHqEAAAYWjQFHkAAISbr//2datDAACEIccUeYGurnkshsUAAMxmRn4CAMAfjinyAlm97Mv+0/2GiREBAGBOfgIAwB+OKfJ88ewPpvW5/91PG0IUCQAAX0gfFd/rvqUv8D5XAIB/BlWRN3XsiRqVENtnG08HQzYBAKEVP3RIr/t+8/LOEEYCAHCCQVXkSdKGBZf0uf9B7pgCAELMJVef+3fWHQxRJAAAJxh0RZ4k/eVHF/S675FXd/W6r2p/i/74eoWaW9uDERYAYJC55ZLTNSTCpbu/flaf7XKWlvKqHwCAzwZlkZcxenif+3tLpJf95jXd989yPbBuexCiAgAMNj/5j/Hacd+lOjslQXdceobV4QAAHGJQFnmREX0Pi5F6LvQOHj76BG/Drs9MjwkAMDgNiTyaiq86b3S/bUs/qg92OAAAB3BMkcd7iAAAduRrfko8Pqbfvq5fudGssAAADuaYIi8Y7yGqaThsWl8AgMHJ1/wU4cMoEwAAfOGYIi8Ypv/yZatDAAAAAAC/DNoiLzN1eL9tjnh6eWceN1sBABZJKypmpU0AQJ8GbZH32A3M3QMA2MuuBy7zue0RT0cQIwEAhLNBW+SdcFy0T+24YwoACJXICJd2L5npU9sf/b+tQY4GABCuBm2RJ0m7l8zUP2++0Ke2b+7cF+RoAADw3YvltVaHAACwKdsVeQcOHNDkyZOVmZmpCRMmaMWKFUE934STE3xq9+0/vB3UOAAA6PQNH96ZJ0kl22sZtgkA6GaI1QF82bBhw1RaWqq4uDg1NzdrwoQJuvLKK3XSSSdZHRoAACHx0Dcz9Oetn/bb7nuPb5Yk7bw/z/tSdQAAbJcRIiMjFRcXJ0lqbW2VYRgyjF5WuTTJ6hvPD2r/AAAE07i7nrM6BACAjfhd5JWWlmrWrFlKSUmRy+XS2rVru7Vxu91KS0tTbGyssrKytHHjRr/OceDAAWVkZGj06NG6/fbblZiY6G+Yfsk6laeEAAAAAJzB7yKvublZGRkZcrvdPe5fvXq1CgsLtWjRIm3dulUZGRnKzc1VXV2dt03nfLsvf6qrqyVJw4cP17Zt21RRUaGnnnpKtbX2mlz+SX1z0J8uAgAGt2d/MM3qEAAAYcrvOXl5eXnKy8vrdf/SpUs1f/58zZs3T5K0fPlyFRcXa+XKlSoqKpIklZWV+XSupKQkZWRk6LXXXtNVV13VY5vW1la1trZ6/25sbPTxmwzM2AXrfF7mGgAw+Aw0P00de6Jf7Q8f8ajDMBQX7Xtq39fUquNjhig2KtKvcwEA7M3UOXltbW3asmWLcnJyvjhBRIRycnK0YcMGn/qora3VwYMHJUkNDQ0qLS3VGWec0Wv7xYsXKyEhwftJTU0NKPY/zp0c0HEAAPTEjPx0/xUTfG575k/XK33h8/r+/y3G0p/3Pm3Q5J+/pDN/ul5/K/u337EBAOzL1CJv37598ng8SkpK6rI9KSlJNTU1PvWxZ88eTZ8+XRkZGZo+fbpuvvlmnXPOOb22X7BggRoaGryfqqqqgGK/5Kyk/ht9CS9KBwD0xoz8dG3WKX6PGnlpu29THJ7eVOn99y3PlPl1DgCAvdnuFQpTp071eTinJMXExCgmJkZut1tut1sejyfgc+9eMlMdHYZOvXOdX8e98mGdZpwxMuDzAgCcx8z85K/Pm9t0wnHRfbZxfelvwzDkcn15KwAgHJn6JC8xMVGRkZHdFkqpra1VcnKymafqJj8/X+Xl5dq0adOA+omI8D/BzXtsYOcEADiXWfnJHxPve7HfBcIivlTQ/WUrQzYBwClMLfKio6M1adIklZSUeLd1dHSopKRE06axShgAAIF4er7/73Mdu2Cdfvjkll73f/me5v97e4/f5wAA2JPfRV5TU5PKyv4/e/8eH1V57v//78mZKAliJCGSGDygRjBBDhErLWjaGPnQotVS61ZEi60NrTZbu4O2UOsh7Gop2zr9RNml2O5agX4r3Z8G8ZBK4yFCCAYP4SCYAApJOJSEBEhgsn5/+MtoyGkmWTNrzZrX8/GYR50191r3NSt1XV6z7vte1d4hlbW1taqurtaePZ+N7S8sLNSyZcv03HPPaevWrbrnnnvU2trqXW0zUNxutzIzMzVp0qSA9tMb5uYBAHpiRn6acsHAnue67sPe58MzNBMAnMvvIm/Tpk0aP368xo8fL+mzom78+PFauHChJGn27Nl68skntXDhQmVnZ6u6ulrr1q3rthiL2cwcDnPvtRcNaL/Zz/i2gigAIHxYMVzziw62tCmjqFRVu//VZfvpwzUBAM7hd5E3bdo0GYbR7bVixQpvm/nz52v37t1qa2vThg0blJOTY2bMPTLzTt4Ppl8woP021B7mjh4AoAuz8tPv7xjY/hMffU2S9M3/+7Y6Oj6fp3f6cE3u7AGAc5g6J89KZv5SGhs1uIfCZi5cN+gYAADOYFZ+mn7JCL8fp3C6qb983fvPA1loDAAQGhxT5Jnt9innDXjfY+0e7zP0PB19r24GAIA/pl6UNOB9Pz1y3PvPp5d4lHwA4ByOKfLMXnjlF98Yq7rFM7T90esGdZwL/HzmHgDAWczOT7+99YpB7X/Nk+v19s6DDM8EAAdzTJEXqIntgx26KUmVdYdNiAQAEIrMzk9D46IHtf/HB1v1nf/eoMajJ7psp+YDAOdwTJEXSIOdA3FzSYW27m82KRoAQLirWzxD1Qu/qjmDmFrAw88BwLko8nw02EIv/7/eUEZRqX73Zq1JEQEAwtmw+BgtnHmZacdzMSsPABzDMUVeMB6GPthCT5Ie+XuNavZxVw8AwkUg81MkK2QCAHrgmCIvWA+b/e/bJw76GNc/9YYJkQAAQoHVD0MHAIQfxxR5wZKbmWzKcW773QZTjgMAgBk2skgYADgGRZ5F3vjooDKKSnXgaJvVoQAAQlj1wq9aHQIAwGYcU+QFY05ep7rFM/SbW8YrNmrwp2/SY6/pxEmP7vmfKrWf6jAhOgCAnQQ6Pw2Lj1Hd4hmmzBu/fflGEyICAFjNZRiGYXUQZmpublZiYqKampqUkJAQ0L4Mw9DoBeY+7Py5OyfrK2POMfWYAOAUwbzGmy0YsXs6DF3w4ODykhnFIgCEG7vlJ8fcybOCy+XSFenDTD3mnOUb1XzipP6544CpxwUAOF9khEt1i2dox6P5VocCALBQlNUBhLq//uBLyigqNfWYl//8Fe8/84sqAMBfMSZMJwAAhC6ygAlqi6+3OgQAAAAAkESRZwqXyxWwO24ZRaXKKCplURYAgF8e+cZlVocAALCIY4q8YK6u2ZtADq0c89OXAnZsAEDgWJWfbpuSEdT+AAD2weqaJjMMQ+s+qNe/jp3Ugy++H7B+YqMitJ2J9QDCjNXX+MGwMvadjS3KXfJPn9oyFxwA/Ge3/OSYO3l24XK5lD9upL6Tkx7QftpOdehgS5t+uW6bHFanAwBMduGIM60OAQAQRBR5AbTtkesCevyJj76m367fZfqz+gAAAACELoq8AIqLjtT2RwNb6HVa+/7+oPQDAAhN7//8axoaG6W3iq6xOhQAQIDxnLwAi42KVN3iGVryynY99Y+dAevnB3/a3OU9cyoAAF80NC5a7z+cZ3UYAIAg4E5ekBR+7eKg/np6ysMjFwAAPatbPEOXpAy1OgwAQIBQ5AXRucOGBK2v7/9PVdD6AgCEnuy0YVaHAAAIEMcUeXZ4Tp4vaouvD0o/r21tDEo/AIC+hUp+AgA4h2OKvIKCAtXU1KiystLqUPrkcrlUt3iGNjx4rdWhAACCIFTyEwDAORxT5IWa5IQ43XFVhtVhAAAAAHAYVte00M+/fpl+/vXLJEltpzy6+KfrLI4IAAAAQKjjTp5NxEZFWh0CAAAAAAegyLMRnm0HAAAAYLAo8mymbvEMij0AAAAAA2bbIu/YsWM677zzdP/991sdiiX+8v0pVocAAAAAIATZtsh77LHHdOWVV1odhmUmZgz33tXjgbUAAAAAfGXLIu+jjz7Stm3blJ+fb3UotrCm4EtWhwAAcJjzzznD6hAAAAHid5FXXl6umTNnKjU1VS6XS2vWrOnWxu12KyMjQ3FxccrJydHGjRv96uP+++9XcXGxv6E52jO3TbA6BACAg9xx1Whdd1mK1WEAAALA7yKvtbVVWVlZcrvdPX6+cuVKFRYWatGiRdq8ebOysrKUl5enxsZGb5vs7GyNHTu222vfvn3629/+pjFjxmjMmDED/1YOlHdZinY8mq/tj16nrb+4zupwAAAhLiYqQiX8gAgAjuT3w9Dz8/P7HEa5ZMkSzZs3T3PnzpUklZSUqLS0VMuXL1dRUZEkqbq6utf933nnHb3wwgtavXq1WlpadPLkSSUkJGjhwoU9tm9ra1NbW5v3fXNzs79fKWTERH1ek3euwOl+faeeeHm7VSEBAHoRTvkJAGAvps7Ja29vV1VVlXJzcz/vICJCubm5qqio8OkYxcXF2rt3r+rq6vTkk09q3rx5vRZ4ne0TExO9r7S0tEF/j1BSMP3CHrePTmKuBQBYKVTy0/r7p1kdAgDAZKYWeQcPHpTH41FycnKX7cnJyaqvrzezK68FCxaoqanJ+9q7d29A+rGzusUz9PcfXq3a4uv1va+crzNiIvVf3862OiwACGuhkp8y+FEQABzH7+GawXTHHXf02yY2NlaxsbGBD8bmxp6bKElakH+pFuRfanE0AIBQyk//fGCa3tp5SFMuONvqUAAAJjC1yEtKSlJkZKQaGhq6bG9oaFBKSmBX8HK73XK73fJ4PAHtBwAAf4RCfjrv7DN03tnc0QMApzB1uGZMTIwmTJigsrIy77aOjg6VlZVpypQpZnbVTUFBgWpqalRZWRnQfgAA8Af5CQAQbH7fyWtpadHOnTu972tra1VdXa3hw4crPT1dhYWFmjNnjiZOnKjJkydr6dKlam1t9a62GSih8EspACD8kJ8AAMHmMgzD8GeH9evXa/r06d22z5kzRytWrJAkPf3003riiSdUX1+v7OxsPfXUU8rJyTEl4P40NzcrMTFRTU1NSkhICEqfAIDgCOVrfCjHDgDom92u8X4XeXb1xV9Kd+zYYZsTDAAwj92SqC/ITwDgfHbLT44p8jrZ7QQDAMwTytf4UI4dANA3u13jTV14BQAAAABgLccUeW63W5mZmZo0aZLVoQAA4EV+AgAEG8M1AQAhI5Sv8aEcOwCgb3a7xjvmTh4AAAAAgCIPAAAAABzFMUUecx4AAHZEfgIABBtz8gAAISOUr/GhHDsAoG92u8Y75k4eAAAAAIAiDwAAAAAcJcrqAMzidrvldrt16tQpSZ/dMgUAOEvntT2UZhqQnwDA+eyWnxw3J+/jjz/WBRdcYHUYAIAA2rVrl84//3yrw/AL+QkAnM8u+ckxd/I6DR8+XJK0Z88eJSYmWhyN/TU3NystLU179+61xSRRO+Nc+Yfz5TvOle+ampqUnp7uvdaHEvKT7/h3wnecK/9wvnzHufKP3fKT44q8iIjPphkmJibyf0g/JCQkcL58xLnyD+fLd5wr33Ve60MJ+cl//DvhO86VfzhfvuNc+ccu+ckeUQAAAAAATEGRBwAAAAAO4rgiLzY2VosWLVJsbKzVoYQEzpfvOFf+4Xz5jnPlu1A+V6Ece7BxrnzHufIP58t3nCv/2O18OW51TQAAAAAIZ467kwcAAAAA4YwiDwAAAAAchCIPAAAAAByEIg8AAAAAHIQiDwAAAAAchCIPAAAAAByEIg8AAAAAHIQiDwAAAAAchCIPAAAAAByEIg8AAAAAHIQiDwAAAAAchCIPAAAAABwkyuoAzNbR0aF9+/Zp6NChcrlcVocDADCRYRg6evSoUlNTFRERWr9Tkp8AwLnslp8cV+Tt27dPaWlpVocBAAigvXv3atSoUVaH4RfyEwA4n13yk+OKvKFDh0r67AQnJCRYHA0AwEzNzc1KS0vzXutDCfkJAJzLbvnJcUVe5xCYhIQEkigAOFQoDnckPwGA89klP1k/YBQAAAAAYBqKPAAAAABwEIo8AAAAAHAQx8zJc7vdcrvd8ng8VocCIEx4PB6dPHnS6jAcJyYmxhbLT5uF/AQgmMhNgREdHa3IyEirw/CZyzAMw+ogzNTc3KzExEQ1NTUxsR1AQBiGofr6eh05csTqUBwpIiJCo0ePVkxMTLfPQvkaH8qxA7A/clPgDRs2TCkpKT0urmK3a7xj7uQBQLB0JtERI0YoPj7eNitpOUHnA8P379+v9PR0zi0A+IjcFDiGYejYsWNqbGyUJI0cOdLiiPpHkQcAfvB4PN4kevbZZ1sdjiOdc8452rdvn06dOqXo6GirwwEA2yM3Bd6QIUMkSY2NjRoxYoTth246Z9IDAARB5zyH+Ph4iyNxrs5hmsxhAwDfkJuCo/P8hsKcR4o8ABgAhsEEDucWAAaG62dghdL5pcgDAAAAAAehyAMAAAAAB7FlkXfDDTforLPO0k033TTgY3g6HPVkCAAw1eLFi+VyuXTfffcN+lirV6/WJZdcori4OI0bN05r167t8vkdd9whl8vV5XXdddcNul8AgLOQm8xjyyLv3nvv1R/+8IdBHaPi40MmRQMAzlJZWalnnnlGl19++aCP9fbbb+uWW27RXXfdpXfffVezZs3SrFmz9MEHH3Rpd91112n//v3e15///OdB9w0AcA5yk7lsWeRNmzZNQ4cOtToMAHCclpYW3XrrrVq2bJnOOuusLp8dOXJE3/3ud3XOOecoISFB11xzjbZs2dLn8f7rv/5L1113nR544AFdeumleuSRR3TFFVfo6aef7tIuNjZWKSkp3tfpfQMAwhe5yXx+F3nl5eWaOXOmUlNT5XK5tGbNmm5t3G63MjIyFBcXp5ycHG3cuNGMWAHAdgzD0LH2U5a8DMP/YekFBQWaMWOGcnNzu3128803q7GxUS+99JKqqqp0xRVX6Nprr9Xhw4d7PV5FRUW3Y+Xl5amioqLLtvXr12vEiBG6+OKLdc899+jQIUZbAEAgWZWfyE324PfD0FtbW5WVlaU777xTN954Y7fPV65cqcLCQpWUlCgnJ0dLly5VXl6etm/frhEjRkiSsrOzderUqW77vvLKK0pNTR3A1wAAaxw/6VHmwpct6bvmF3mKj/H9Mv7CCy9o8+bNqqys7PbZm2++qY0bN6qxsVGxsbGSpCeffFJr1qzRX/7yF9199909HrO+vl7JycldtiUnJ6u+vt77/rrrrtONN96o0aNHa9euXXrwwQeVn5+viooK2z9MNhAOt7QpIcHqKAA4nVX5idxkD34Xefn5+crPz+/18yVLlmjevHmaO3euJKmkpESlpaVavny5ioqKJEnV1dUDi7YHbW1tamtr875vbm427dgA4BR79+7Vvffeq1dffVVxcXHdPt+yZYtaWlp09tlnd9l+/Phx7dq1S3v27FFmZqZ3+4MPPqgHH3zQp76//e1ve/953Lhxuvzyy3XBBRdo/fr1uvbaawf4jeyvt/x0/CQPeQcAidwUSH4XeX1pb29XVVWVFixY4N0WERGh3NzcbrdHzVJcXKyHH3642/Z9R44HpD8A+KIh0ZGq+UWeZX37qqqqSo2Njbriiiu82zwej8rLy/X000/rscce08iRI7V+/fpu+w4bNkzDhg3r8gPd8OHDJUkpKSlqaGjo0r6hoUEpKSm9xnL++ecrKSlJO3fudEQi7U1v+QkAgsGq/ERusgdTi7yDBw/K4/H0eHt027ZtPh8nNzdXW7ZsUWtrq0aNGqXVq1drypQpPbZdsGCBCgsLve+bm5uVlpamX/y/Gn33mssG9kUAwEcul8uvYSlWufbaa/X+++932TZ37lxdcskl+o//+A/t379f9fX1ioqKUkZGRo/HuPDCC7ttmzJlisrKyrosd/3qq6/2es2WpE8++USHDh3SyJEjB/RdQkVv+WkA01UAwG+hkJ/ITYFjy7/8a6+95nPb2NhYxcbGyu12y+12y+NhGAwAnG7o0KEaO3Zsl21nnHGGzj77bI0dO1aXXXaZpkyZolmzZumXv/ylxowZo3379qm0tFQ33HCDJk6c2ONx7733Xn3lK1/Rr371K82YMUMvvPCCNm3apGeffVbSZyumPfzww/rmN7+plJQU7dq1Sz/5yU904YUXKi/PmjugwdJbftpYe1iZGb3/mgwA4YLcFDimPkIhKSlJkZGRft8eNUNBQYFqamp6nLQJAOiby+XS2rVr9eUvf1lz587VmDFj9O1vf1u7d+/uNjrji6666io9//zzevbZZ5WVlaW//OUvWrNmjTdpR0ZG6r333tPXv/51jRkzRnfddZcmTJigN954wzuJ3ulOz0+NR9v62QMAIJGbBsPUO3kxMTGaMGGCysrKNGvWLElSR0eHysrKNH/+fDO76oY7eQDgn9PnOAwdOlRPPfWUnnrqKb+Oc/PNN+vmm2/u8bMhQ4bo5ZetWX3ULk7PTy3t3VeXBgB8htxkDr/v5LW0tKi6uto7ybG2tlbV1dXas2ePJKmwsFDLli3Tc889p61bt+qee+5Ra2urd7XNQOFOHgDAjk7PTyveqrM2IACA4/l9J2/Tpk2aPn26933npPI5c+ZoxYoVmj17tg4cOKCFCxeqvr5e2dnZWrduXZ+3VAOlte2Uzoi15bRDAAAAAAgIvyugadOm9fsk+/nz5wd8eObpehqu+WpNg2aNPzeocQAA8EVMJwAABJupC69Yqafhmq9tbehjDwAAAo/pBACAYHNMkdeTv7+33+oQAAAAACCoHFPkud1uZWZmatKkSVaHAiAMdHR0WB2CY/U3JSDUkJ8ABAu5KbBC6fw6ZlWSgoICFRQUqLm5WYmJiVaHA8ChYmJiFBERoX379umcc85RTEyMXC6X1WE5hmEYOnDggFwul6Kjo60OxxTkJwCBRm4KLMMw1N7ergMHDigiIkIxMTFWh9QvxxR5ABAMERERGj16tPbv3699+/ZZHY4juVwujRo1SpGRkVaHAgAhgdwUHPHx8UpPT1dEhP0HQzqmyGP1MgDBEhMTo/T0dJ06dYprTgBER0c7qsAjPwEIBnJTYEVGRioqKipk7pC6DIdNfugcDpN23ypFxMarbvEMq0MCAJik8xrf1NSkhIQEq8Pxyxfz055f32x1OAAAE9ktP9n/XiMAAA7TePSE1SEAAByMIg8AgCD76+ZPrQ4BAOBgFHkAAATZ4pe2WR0CAMDBHFPk8RwiAIAdkZ8AAMHmmCKvoKBANTU1qqystDoUAAC8yE8AgGBzTJHXm6bjJ60OAQAAAACCxvFF3sbaw1aHAAAAAABB4/gi77m366wOAQAAAACCxjFFXm8T29/cedCiiAAAYOEVAEDwOabIY2I7AMCOyE8AgGBzTJEHAEAo2XWgxeoQAAAORZEHAIAFnnx5u9UhAAAciiIPAAALvPRBvdUhAAAciiIPAAAAABwkLIq8+qYTVocAAAAAAEERFkXef5V9ZHUIAAAAABAUjiny+noO0Z837rEgIgAA+s5PhmFYEBEAwOkcU+TxHCIAgB31lZ+21R+1ICIAgNM5psgDACDULPrbh1aHAABwIIo8AAAssrHusNUhAAAcKGyKvJOeDqtDAAAAAICAC5si77ev77I6BAAAAAAIuLAp8n792g6rQwAAAACAgAubIg8AADviMQoAALPZrsjbu3evpk2bpszMTF1++eVavXq11SEBABAwq6s+sToEAIDD2K7Ii4qK0tKlS1VTU6NXXnlF9913n1pbW60OCwCAgPjJX96zOgQAgMPYrsgbOXKksrOzJUkpKSlKSkrS4cPmLDH9wadNphwHAAAAAOzK7yKvvLxcM2fOVGpqqlwul9asWdOtjdvtVkZGhuLi4pSTk6ONGzcOKLiqqip5PB6lpaX5vW/eZcndtv2f37w5oDgAAAAAIFT4XeS1trYqKytLbre7x89XrlypwsJCLVq0SJs3b1ZWVpby8vLU2NjobZOdna2xY8d2e+3bt8/b5vDhw7r99tv17LPPDuBrSUPjoge0HwAAAACEsih/d8jPz1d+fn6vny9ZskTz5s3T3LlzJUklJSUqLS3V8uXLVVRUJEmqrq7us4+2tjbNmjVLRUVFuuqqq/pt29bW5n3f3NwsSXK5fPk2AAAERm/5qSeeDkORESQuAIA5TJ2T197erqqqKuXm5n7eQUSEcnNzVVFR4dMxDMPQHXfcoWuuuUa33XZbv+2Li4uVmJjofXUO7SRVAgCs1Ft+6snf39vX62cAAPjL1CLv4MGD8ng8Sk7uOh8uOTlZ9fX1Ph3jrbfe0sqVK7VmzRplZ2crOztb77//fq/tFyxYoKamJu9r7969knq/k/fJv4759mUAABiE3vJTT+59oTp4gQEAHM/v4ZqBdvXVV6ujo8Pn9rGxsYqNjZXb7Zbb7ZbH45EkRUdG9tj+R39+V3/9wZdMiRUAgN70lp8AAAg0U+/kJSUlKTIyUg0NDV22NzQ0KCUlxcyuuikoKFBNTY0qKyslSXdPHa1ffvPybu027zkS0DgAAPii0/MTAACBZmqRFxMTowkTJqisrMy7raOjQ2VlZZoyZYqZXXXjdruVmZmpSZMmSZKGnxmrmyaMCmifAAD05/T8BABAoPld5LW0tKi6utq7QmZtba2qq6u1Z88eSVJhYaGWLVum5557Tlu3btU999yj1tZW72qbgdLTL6URrFQGALAYd/IAAMHm95y8TZs2afr06d73hYWFkqQ5c+ZoxYoVmj17tg4cOKCFCxeqvr5e2dnZWrduXbfFWAAAAAAA5vO7yJs2bZoMw+izzfz58zV//vwBBzUQTGwHANiRr/kpo6hUdYtnBCkqAICTmTonz0q9DYeJiez+FZtPnAxWWACAMOfPcM2MotIgRAQAcDrHFHm9WVPQ/XEJf636xIJIAAAAACDwHFPk9bZ6WWZqQre2P/9/NcEKCwAQ5lhdEwAQbI4p8vxdvYwhMQCAYGB1TQBAsDmmyBuIP23YbXUIAIAwMz5tWJ+ft7adCk4gAADHCusi76EXP7A6BABAmHnkhrF9fr5++4EgRQIAcCrHFHl9zXko/dHVFkQEAED3/JR+Vnzf7V/fGYywAAAO5pgir685D5kjuy++AgBAMJyenyIiXH22r9nfHIywAAAO5pgiry8uV98JFQAAAACcIiyKvL4cbGmzOgQAALpgBWgAwGA4psgb6HOIVlbuDVBEAAAMPD/tPtQaoIgAAE7nMgzDsDoIMzU3NysxMVFNTU1KSPh8Ll5fv4rWLZ4RjNAAAIPU2zU+FHwx9ssff8OnfchPABAa7JafHHMnrz+FXx1jdQgAAEiSVn9/itUhAAAcLGyKvNmT0nr9jLkPAIBgmpB+ltUhAAAcLGyKvOSEuD4/57lEAIBg6e8xCp0cNqMCABAkYVPk9eeJl7dbHQIAAF1865kKq0MAAIQgxxR5A129DACAQBpMfqqs+1cAIgIAOJ1jiryCggLV1NSosrJywMf44NMmEyMCAKD3/HTThFEWRQQAcDrHFHm++PsPr+7z8//zmzeDFAkAINz95LqLfWqXUVSqlrZTAY4GAOAkYVXkjT03kWcOAQBsYcTQvhcE+6Kxi14OYCQAAKcJqyLPFyc9HVaHAABANx0drLQJAPBNWBZ5114yotfPfrbmgyBGAgCAb376N/ITAMA3YVnk/fzrl/X62QuVe3k4OgDAdp7fsMfqEAAAISIsi7xRZw3pt81VxWVBiAQAAAAAzOWYIs+f5xC5XK5+2+xrOmFGWACAMGfmc1wzikr15MvbTYgKAOBkjinyzHhOHgAAZusrPz12w1i/j/f06zvNCAsA4GCOKfICgecSAQACiQeiAwACgSKvD79/s9bqEAAADhYbFTmg/XY2HjU5EgCAk4RtkfdW0TX9tvnVqztUvHZrEKIBAMB3xWu3WR0CAMDGwrbIO3fYEK0p+FK/7Z4p/5hHKgAAAmb7o9f5vU/ZtkY9+veaAEQDAHCCsC3yJCk7bZgS4qKsDgMAEMZioyL1xE2X+73ff79Zy4+QAIAe2a7IO3LkiCZOnKjs7GyNHTtWy5YtC2h/m3/2VZ/a7TrQEtA4AADh67qxKQPet5VFwgAAp7FdkTd06FCVl5erurpaGzZs0OOPP65Dhw4FrL+oSN9OwbW/+mfAYgAAhLehcdED3veyRS+bGAkAwAlsV+RFRkYqPj5ektTW1ibDMGQYhsVRfYZhMQAAOzrc2m51CAAAG/G7yCsvL9fMmTOVmpoql8ulNWvWdGvjdruVkZGhuLg45eTkaOPGjX71ceTIEWVlZWnUqFF64IEHlJSU5G+Yfnn/51/zuW1GUSlDYwAAtnLFI6/yQyQAwMvvIq+1tVVZWVlyu909fr5y5UoVFhZq0aJF2rx5s7KyspSXl6fGxkZvm875dqe/9u3bJ0kaNmyYtmzZotraWj3//PNqaGgY4Nfzjb/DZBgaAwCwI7uMfAEAWMvvpSXz8/OVn5/f6+dLlizRvHnzNHfuXElSSUmJSktLtXz5chUVFUmSqqurfeorOTlZWVlZeuONN3TTTTf12KatrU1tbW3e983NzT5+k8E53u7RkJiBPcQWAOB8VuSndz4+rCkXnB3wfgAA9mbqnLz29nZVVVUpNzf38w4iIpSbm6uKigqfjtHQ0KCjR49KkpqamlReXq6LL7641/bFxcVKTEz0vtLS0gYU+2WpCX61v3ThOrWd8gyoLwCA85mVn/xxy7J3At4HAMD+TC3yDh48KI/Ho+Tk5C7bk5OTVV9f79Mxdu/eralTpyorK0tTp07VD3/4Q40bN67X9gsWLFBTU5P3tXfv3gHFXvqjqZp6kX9z/y7+6Tot/NsHA+oPAOBs/uan9fdPM6XfjKJS3fDbt0w5FgAgNNludc3JkyerurpaW7Zs0Xvvvafvfe97fbaPjY1VQkKC/vjHP+rKK6/UtddeO+C+/3hXjn50zYV+7fOHit0D7g8A4Fz+5qeMpDP04PWXmNL3u3uOMD8PAMKYqUVeUlKSIiMjuy2U0tDQoJSUgT/o1RcFBQWqqalRZWXloI5zb+4Yv/c52NLWfyMAQFjyJz/d/eULTOv3j+/wIyQAhCtTi7yYmBhNmDBBZWVl3m0dHR0qKyvTlClTzOyqG7fbrczMTE2aNGlQx4mMcPm9z8RHXxtUnwAA5/I3P10/zpwfRRf+7UN1dHA3DwDCkcvwczxHS0uLdu7cKUkaP368lixZounTp2v48OFKT0/XypUrNWfOHD3zzDOaPHmyli5dqlWrVmnbtm3d5uoFQnNzsxITE9XU1KSEBP8WU+k00GcN1S2eMaD9AAC+MeMabxVfYz9x0qNLfrbO1L7JTwAQWHbLT37fydu0aZPGjx+v8ePHS5IKCws1fvx4LVy4UJI0e/ZsPfnkk1q4cKGys7NVXV2tdevWBaXAs9pv1++0OgQAQIiLizb/8Tz3r95i+jEBAPbl9508u3K73XK73fJ4PNqxY8egqugJj7yqQ63tA9p3ZGKcKhYMfPEXAEDv7PZLqS8Gkp8GOqKkPy/f92VdnDI0IMcGgHBmt/zkmCKvkxkn+JSnQxc+9NKAY6j6aa4+amzRlefzQFoAMJPdkqg//Il9Y+1hfesZ354v6y+GbgKA+eyWn6KsDsCOoiIjtOPRfJ045dHlP3/F7/0nfGEhFpIpAMBfkzLOCtixDxxt0zlDYwN2fACA9Wz3nLyBMmt1zU4xURFKiIse9HECNeQGABAaBpKfXC7/V3r21aTHXlPJP3ep8eiJgPUBALAWwzV9MNhCbdfj1w/o0QwAgK7sNhzGH/7G/vaug/rOsg0BjWn7o9cpNsr8hV4AINzYLT855k5eIA12yOUFD66Vw2ppAECAXXVBUsCH/F/8U3Mf1QAAsAeKPB/VLZ6hl+6dOuD9Ry9Yq4yiUtU3MTwGAGAf/AgJAM7jmCLP7Dl5Pbl05OBvvV5ZXGZCJACAUBGM/DQYnT9CUuwBgHM4psgrKChQTU2NKisrrQ6lXyc9HVaHAAAIksHmpyXfyjI5op5lPez/atIAAHtyTJEXLHdclTHoY1z00Ev8agoA8MkN488NSj/NJ04FpR8AQOBR5Pnp51+/zLRjjV6w1rRjAQCcKZCPUzjd8XZP0PoCAASOY4q8YM55qFs8w7QVz65bWq6MolJlFJWqo4M7ewDgNGbkp52P5eu/vp1tXlC92LznXwHvAwAQeDwnbxBe/rBe3/tjlanHDPRy2QAQyuz2HCJ/mBH7YJ/b2p//uStHV1+UFNA+AMCJ7JafHHMnzwp5l6WYfszOu3o7G4+afmwAAPpiyFG/+wJA2KLIG6RA3XnLXVIekOMCANAbZ43tAYDwRZFngtri6wNyXIeNpAUADNJfvj/F6hAAACGAIs8ELpcrIHf0Oh9Qu7/puOnHBgCEnokZw/W1zGSNST4zIMfnp0UAcAbHFHnBXF0z2KYU/0M7G1skcXcPAEKN2fnp2dsn6pUff8WUY52OHAMAzsDqmib7W/WnOmdorL6zbENA+2EVTgDhyOpr/GCYHfvil7ap5J+7TIjscyvmTtK0i0eYekwACAd2y0+OuZNnF9/IPldXXZAU8CKs5J+7lFFUqsOt7QHtBwBgTz/+6kWmH9NRv/oCQBijyAug3EuTA3bsxS9tkyRd8cirDK8BgDAUGxVp/kFJJwDgCBR5AfTfcyYGpZ/RC9bqS4v/oYI/bQ5KfwAAe3j+uzlWhwAAsCGKvACrWzxDdYtn6NezswLaz6dHjqv0/f26/r/eCGg/AAD7uOpCc6cH8DB0AHAGirwguWH8qKD0U7O/OSj9AADsY8uir5lyHEb/A4AzUOQF0ZM3B/ZuHgAgPCUOidadXxptdRgAAJtwTJEXCs/Ju2nCKNUtnqFLR1q/rCoAIDiClZ8Wzswc9NBN7uQBgDM4psgrKChQTU2NKisrrQ6lXy/dO9XqEAAAQRLs/DQp46wB70uNBwDO4JgiL9R8/Pj1VocAAHCg1d+/asD78kgeAHCGKKsDCFcREa4uw2oyikotjAYA4CR1i2foUEubJjz6ml/7UeIBgDNwJ88m3iq6xuoQAAAOcvaZsbrjqgyrwwAAWIAizybOHTZES77F6psAAPMs/D+ZfrVntCYAOANFno3ceMUoUx9qCwAIbxERLj/3oMoDACewbZF37NgxnXfeebr//vutDiXo6hbP0KzsVP153pVWhwIACHF1i2foo8fyrQ4DABBEti3yHnvsMV15ZfgWOUu/PV5TLjhblQ/lWh0KACDERUdG6JUff7nfdgzXBABnsGWR99FHH2nbtm3Kz+eXx3OGxlodAgDAAcYkD+23DTUeADiD30VeeXm5Zs6cqdTUVLlcLq1Zs6ZbG7fbrYyMDMXFxSknJ0cbN270q4/7779fxcXF/obmWO/+7KtWhwAAcIC6xTNUt3iGyh+YbnUoAIAA8vs5ea2trcrKytKdd96pG2+8sdvnK1euVGFhoUpKSpSTk6OlS5cqLy9P27dv14gRIyRJ2dnZOnXqVLd9X3nlFVVWVmrMmDEaM2aM3n777QF8Jec564wY74IshmFo9IK1FkcEAAhl6WfH97i9g/GaAOAIfhd5+fn5fQ6jXLJkiebNm6e5c+dKkkpKSlRaWqrly5erqKhIklRdXd3r/u+8845eeOEFrV69Wi0tLTp58qQSEhK0cOHCHtu3tbWpra3N+765udnfrxRSXK7PH6Je33RCVxaXWRwRAKAnds9P//7VMfrVqzu6bOugxgMARzB1Tl57e7uqqqqUm/v5YiERERHKzc1VRUWFT8coLi7W3r17VVdXpyeffFLz5s3rtcDrbJ+YmOh9paWlDfp7hIqUxDirQwAA9MLu+emH116kusUzVFt8vXfbBeecYWFEAACz+H0nry8HDx6Ux+NRcnJyl+3Jycnatm2bmV15LViwQIWFhd73zc3NtkukgdR5V+/ESY/WvPuphsREWhwRAEAKnfzkcrm0Yu4ktZ3qUMbZFHkA4ASmFnlmu+OOO/ptExsbq9jYWLndbrndbnk8nsAHZkNx0ZH69uR0q8MAAPz/hVJ+mnbxCKtDAACYyNThmklJSYqMjFRDQ0OX7Q0NDUpJSTGzq24KCgpUU1OjysrKgPYDAIA/yE8AgGAztciLiYnRhAkTVFb2+WIgHR0dKisr05QpU8zsCgAAAADQA7+Ha7a0tGjnzp3e97W1taqurtbw4cOVnp6uwsJCzZkzRxMnTtTkyZO1dOlStba2elfbDJRQGA4DAAg/5CcAQLC5DMO/h+KsX79e06d3f4jqnDlztGLFCknS008/rSeeeEL19fXKzs7WU089pZycHFMC7k9zc7MSExPV1NSkhISEoPQJAAiOUL7Gh3LsAIC+2e0a73eRZ1df/KV0x44dtjnBAADz2C2J+oL8BADOZ7f85Jgir5PdTjAAwDyhfI0P5dgBAH2z2zXe1IVXAAAAAADWckyR53a7lZmZqUmTJlkdCgAAXuQnAECwMVwTABAyQvkaH8qxAwD6ZrdrvGPu5AEAAAAAKPIAAAAAwFEcU+Qx5wEAYEfkJwBAsDEnDwAQMkL5Gh/KsQMA+ma3a7xj7uQBAAAAACjyAAAAAMBRoqwOwCxut1tut1unTp2S9NktUwCAs3Re20NppgH5CQCcz275yXFz8j7++GNdcMEFVocBAAigXbt26fzzz7c6DL+QnwDA+eySnxxzJ6/T8OHDJUl79uxRYmKixdHYX3Nzs9LS0rR3715bTBK1M86VfzhfvuNc+a6pqUnp6enea30oIT/5jn8nfMe58g/ny3ecK//YLT85rsiLiPhsmmFiYiL/h/RDQkIC58tHnCv/cL58x7nyXee1PpSQn/zHvxO+41z5h/PlO86Vf+ySn+wRBQAAAADAFBR5AAAAAOAgjivyYmNjtWjRIsXGxlodSkjgfPmOc+UfzpfvOFe+C+VzFcqxBxvnynecK/9wvnzHufKP3c6X41bXBAAAAIBw5rg7eQAAAAAQzijyAAAAAMBBKPIAAAAAwEEo8gAAAADAQSjyAAAAAMBBKPIAAAAAwEEo8gAAAADAQSjyAAAAAMBBKPIAAAAAwEEo8gAAAADAQSjyAAAAAMBBKPIAAAAAwEGirA7AbB0dHdq3b5+GDh0ql8tldTgAABMZhqGjR48qNTVVERGh9Tsl+QkAnMtu+clxRd6+ffuUlpZmdRgAgADau3evRo0aZXUYfiE/AYDz2SU/Oa7IGzp0qKTPTnBCQoLF0QAAzNTc3Ky0tDTvtT6UkJ8AwLnslp8cV+R1DoFJSEggiQKAQ4XicEfyEwA4n13yk/UDRgEAAAAApqHIAwAAAAAHocgDAAAAAAdxzJw8t9stt9stj8djdSgAwkBHR4fa29utDsORYmJibLH8tFnITwCCyePx6OTJk1aH4TjR0dGKjIy0OgyfuQzDMKwOwkzNzc1KTExUU1MTE9sBBER7e7tqa2vV0dFhdSiOFBERodGjRysmJqbbZ6F8jQ/l2AHYn2EYqq+v15EjR6wOxbGGDRumlJSUHhdXsds13jF38gAgGAzD0P79+xUZGam0tDRH3XGyg84Hhu/fv1/p6em2WaUMAOyus8AbMWKE4uPjuX6ayDAMHTt2TI2NjZKkkSNHWhxR/yjyAMAPp06d0rFjx5Samqr4+Hirw3Gkc845R/v27dOpU6cUHR1tdTgAYHsej8db4J199tlWh+NIQ4YMkSQ1NjZqxIgRth+6yU/QAOCHznlVPQ0lhDk6zy1z2ADAN51z8PjxMbA6z28ozHmkyAOAAWAYTOBwbgFgYLh+BlYonV+KPAAAAABwEFsWeTfccIPOOuss3XTTTVaHAgAAAAAhxZZF3r333qs//OEPgzrG4VaeXwUAnTwej372s59p9OjRGjJkiC644AI98sgjMuMpOuvXr9cVV1yh2NhYXXjhhVqxYkWXz3/+85/L5XJ1eV1yySWD7hcAENrITYFjy9U1p02bpvXr1w/qGDX7m5UxMsmcgAAgxP3nf/6n/u///b967rnndNlll2nTpk2aO3euEhMT9aMf/WjAx62trdWMGTP0/e9/X3/6059UVlam7373uxo5cqTy8vK87S677DK99tpr3vdRUbZMP0HhsMfTAsCAkZsCx+87eeXl5Zo5c6ZSU1Plcrm0Zs2abm3cbrcyMjIUFxennJwcbdy40YxYAQAD9Pbbb+sb3/iGZsyYoYyMDN1000362te+1uX63NbWpvvvv1/nnnuuzjjjDOXk5PT7g1tJSYlGjx6tX/3qV7r00ks1f/583XTTTfr1r3/dpV1UVJRSUlK8r6Sk8P0Rrvn4KatDAABbIDcFjt9FXmtrq7KysuR2u3v8fOXKlSosLNSiRYu0efNmZWVlKS8vz/vwQEnKzs7W2LFju7327ds38G8CABYwDEPH2k9Z8vLnjtBVV12lsrIy7dixQ5K0ZcsWvfnmm8rPz/e2mT9/vioqKvTCCy/ovffe080336zrrrtOH330Ua/HraioUG5ubpdteXl5qqio6LLto48+Umpqqs4//3zdeuut2rNnj8+xO83B1hNWhwAgDFiVn8hN9uD3Pcn8/PwuJ/50S5Ys0bx58zR37lxJn1XSpaWlWr58uYqKiiRJ1dXVA4sWAGzm+EmPMhe+bEnfNb/IU3yMb5fxoqIiNTc365JLLlFkZKQ8Ho8ee+wx3XrrrZKkPXv26Pe//7327Nmj1NRUSdL999+vdevW6fe//70ef/zxHo9bX1+v5OTkLtuSk5PV3Nys48ePa8iQIcrJydGKFSt08cUXa//+/Xr44Yc1depUffDBBxo6dOggzkBoajvZYXUIAMKAVfmJ3GQPpg48bW9vV1VVlRYsWODdFhERodzc3G6Vs1na2trU1tbmfd/c3ByQfgAglK1atUp/+tOf9Pzzz+uyyy5TdXW17rvvPqWmpmrOnDl6//335fF4NGbMmC77tbW16eyzz5YknXnmmd7t//Zv/6aSkhKf+v7iD4OXX365cnJydN5552nVqlW66667TPh29kR+AoC+kZsCx9Qi7+DBg/J4PD1Wztu2bfP5OLm5udqyZYtaW1s1atQorV69WlOmTOmxbXFxsR5++OFu22sPtPgXPAAMwJDoSNX8Iq//hgHq21cPPPCAioqK9O1vf1uSNG7cOO3evVvFxcWaM2eOWlpaFBkZqaqqKkVGdj1uZwL94iiMhIQESVJKSooaGhq6tG9oaFBCQoKGDBnSYyzDhg3TmDFjtHPnTp/jD0W95SfWXQEQDFblJ3KTPdhyCZkvrnLTnwULFqiwsND7vrm5WWlpafrPddtVkHd5IMIDAC+Xy+XzsBQrHTt2TBERXadhR0ZGqqPjs6GD48ePl8fjUWNjo6ZOndrjMS688MJu26ZMmaK1a9d22fbqq6/2+sOcJLW0tGjXrl267bbb/P0aIaW3/LSh9pCmXJpmYWQAwkEo5CdyU+CY+py8pKQkRUZG9lg5p6SkmNmVV2xsrBISEvTHP/5RV155pa699tqA9AMAoWzmzJl67LHHVFpaqrq6Or344otasmSJbrjhBknSmDFjdOutt+r222/XX//6V9XW1mrjxo0qLi5WaWlpr8f9/ve/r48//lg/+clPtG3bNv32t7/VqlWr9OMf/9jb5v7779c///lP1dXV6e2339YNN9ygyMhI3XLLLQH/3lbqLT8d4jmuACCJ3BRQxiBIMl588cUu2yZPnmzMnz/f+97j8RjnnnuuUVxcPJiufNbU1GRIMtLuWxWU/gCEl+PHjxs1NTXG8ePHrQ7FL83Nzca9995rpKenG3Fxccb5559vPPTQQ0ZbW5u3TXt7u7Fw4UIjIyPDiI6ONkaOHGnccMMNxnvvvdfnsV9//XUjOzvbiImJMc4//3zj97//fZfPZ8+ebYwcOdKIiYkxzj33XGP27NnGzp07ez1eX+e48xrf1NTk3wmwgc7YH1y5wepQADgMuak7s3OTYYRWfnIZhn+zA1paWrxjVcePH68lS5Zo+vTpGj58uNLT07Vy5UrNmTNHzzzzjCZPnqylS5dq1apV2rZtW7e5emZyu91yu93yeDzasWOH0u5bpT2/vjlg/QEITydOnFBtba1Gjx6tuLg4q8NxpL7OcXNzsxITE9XU1OSde2F3p+enHz33pv7r9i9ZHRYAByE3BUco5Se/h2tu2rRJ48eP1/jx4yVJhYWFGj9+vBYuXChJmj17tp588kktXLhQ2dnZqq6u1rp16wJa4ElSQUGBampqVFlZGdB+AADwx+n56cV3eSYsACCw/J6NOW3atH4fcjh//nzNnz9/wEEBAAAAAAbG1IVXrOR2u5WZmalJkyZZHQoAAF7kJwBAsDmmyOtpuOaJkx4LIwIAgOkEAIDgc0yR15M/bdhjdQgAHMrPNavgB84tAAwM18/ACqXz65gir6fhML9+dYeFEQFwosjISElSezvPOguUznPbea5DHcM1AQRadHS0pM8eLo7A6Ty/nefbzvxeeMWuCgoKVFBQ4F2+VJJa2k5ZHBUAp4mKilJ8fLwOHDig6OhoRUQ45rcyW+jo6NCBAwcUHx+vqChnpKie8hMAmCkyMlLDhg1TY2OjJCk+Pl4ul8viqJzDMAwdO3ZMjY2NGjZsWEj8COmMDAoAQeJyuTRy5EjV1tZq9+7dVofjSBEREUpPT+c/UADADykpKZLkLfRgvmHDhnnPs905psj74sNmASCQYmJidNFFFzFkM0BiYmIcdYeU/AQgGDp/hBwxYoROnjxpdTiOEx0dHRJ38Dq5jFCaQeiDzuEwafetUkRsvOoWz7A6JACASTqv8U1NTUpISLA6HL98MT/t+fXNVocDADCR3fKTc34qBQAgRBxqabM6BACAg1HkAQAQZB/ua7Y6BACAg1HkAQAQZGVbG6wOAQDgYI4p8ngOEQDAjnrKT89VsDIrACBwHFPkFRQUqKamRpWVlV227znEQyEBANbpLT8BABAojinyerOh9pDVIQAAAABA0Di+yFtd9YnVIQAAAABA0Di+yNtYe9jqEAAAAAAgaBxT5LHwCgDAjshPAIBgc0yRx8R2AIAdkZ8AAMHmmCIPAIBQsnnPv6wOAQDgUBR5AABY4Nev7rA6BACAQ1HkAQBggTc+Omh1CAAAhwqLIs8wDKtDAAAAAICgCIsib/2OA1aHAAAAAABBERZFXsGfNlsdAgAA3bSd8lgdAgDAgRxT5PX1HKJj7SRRAIA1+spPbzIvDwAQAI4p8ngOEQDAjvrKT3c9t8mCiAAATueYIg8AAAAAQJEHAAAAAI4SNkVeQ/MJq0MAAAAAgIALmyLv/tVbrA4BAAAAAAIubIq8N1jBDABgQ41HGWkCADBX2BR5AADY0e2/22h1CAAAh7Fdkbd3715NmzZNmZmZuvzyy7V69WqrQwIAIGC21R+1OgQAgMNEWR3A6aKiorR06VJlZ2ervr5eEyZM0PXXX68zzjhj0Mc2DEMul8uEKAEAAADAnmx3J2/kyJHKzs6WJKWkpCgpKUmHDx825dhVu/9lynEAAAAAwK78LvLKy8s1c+ZMpaamyuVyac2aNd3auN1uZWRkKC4uTjk5Odq4cWDzDaqqquTxeJSWljag/U93U0mFKccBAAAAALvyu8hrbW1VVlaW3G53j5+vXLlShYWFWrRokTZv3qysrCzl5eWpsbHR2yY7O1tjx47t9tq3b5+3zeHDh3X77bfr2WefHcDXAgAgdLSf6rA6BACAg/g9Jy8/P1/5+fm9fr5kyRLNmzdPc+fOlSSVlJSotLRUy5cvV1FRkSSpurq6zz7a2to0a9YsFRUV6aqrruq3bVtbm/d9c3Ozj98EAIDA8Sc/vb3roKZdPCIYYQEAwoCpc/La29tVVVWl3NzczzuIiFBubq4qKnwbKmkYhu644w5dc801uu222/ptX1xcrMTERO/LrKGdAAAMhj/56bHSrUGMDADgdKYWeQcPHpTH41FycnKX7cnJyaqvr/fpGG+99ZZWrlypNWvWKDs7W9nZ2Xr//fd7bb9gwQI1NTV5X3v37u3z+P9qbfcpDgAABsOf/PRRY0sQIwMAOJ3tHqFw9dVXq6PD97kJsbGxio2Nldvtltvtlsfj6bP9796s1f15Fw82TAAA+uRvfgIAwCym3slLSkpSZGSkGhoaumxvaGhQSkqKmV11U1BQoJqaGlVWVkqSvv/l8/XGT6Z3a/f06zsDGgcAAF90en4CACDQTC3yYmJiNGHCBJWVlXm3dXR0qKysTFOmTDGzq27cbrcyMzM1adIkSdKdU0crbXh8QPsEAKA/p+cnAAACze8ir6WlRdXV1d4VMmtra1VdXa09e/ZIkgoLC7Vs2TI999xz2rp1q+655x61trZ6V9sMlNN/KY2Psd1IVABAGPL1Tl5GUWmQIgIAOJ3fldCmTZs0ffrnwyALCwslSXPmzNGKFSs0e/ZsHThwQAsXLlR9fb2ys7O1bt26bouxAACArv53yz59PSvV6jAAACHO7yJv2rRpMgyjzzbz58/X/PnzBxzUQDCxHQBgR/7kpx/9+V2KPADAoJk6J89KvQ2HyTi7+7w8T0ffRSoAAGZh4RUAQLA5psjrzfPzruy27Z2PD1kQCQAAAAAEnmOKvN5WL0sdNqRb21v/e4O+8fSbwQoNABDGWF0TABBsjiny/B0Os+WTpgBHBAAAwzUBAMHnmCJvIN7eedDqEAAAYebP83L6/LyDeeMAgEFyTJE3kOEw3/nvDQGMCACA7vlp7LmJfbY/2nYqGGEBABzMMUVeX8Nh/tzD4isAAATD6fnJ5XL12f7fV23p91FFAAD0xTFFXl+uPH+41SEAAOCT17Y2aPSCtVaHAQAIYWFR5PX3qykAAAAAOEVYFHkAAISaY+3MzQMADIxjiryBPoeovulEgCICAKDn/HT7lPP63W9ZeW0gwwIAOJjLcNjs7ubmZiUmJqqpqUkJCQne7RlFpT22z7ssWc/cNjFY4QEABqG3a3wo+GLsrpghGvfzV/rdp27xjCBEBgAYLLvlJ8fcyevPmOQze9z+8ocNeuOjA0GOBgAQzobGRVsdAgDAwcKmyFtw/aW9fnbb7zYGMRIAAAAACJywKfKuuuDsPj//cF9TkCIBAMA35TsYaQIA8J9jirz+Fl6JjYrsc/8ZT70ZiLAAAGFuoAuDSdLtyxlpAgDwn2OKvIKCAtXU1KiystLqUAAA8OotP33vy+f7tH9vC4cBANAbxxR5ZqjZ12x1CACAMHHX1NE+t33u7brABQIAcJywKvLqFs/Qb24Z3+vn1z/1RhCjAQCEsxFD43xuu+h/PwxgJAAApwmrIk+SZmalWh0CAAAAAARM2BV5AAAAAOBkFHmnySgqVePRE1aHAQBAFxlFpVr80jarwwAAhICwLPJ+dM2FfX4++bGyIEUCAIDvSv65y+oQAAAhwDFFnj/PIZpzVUa/bV7+sN6EqAAA4W4wz8nryZFj7aYcBwDgXI4p8vx5Tt7ZZ8b22+Z7f6wyIywAQJjrKz/d+SXfH6PQ6Tf/2GlGWAAAB3NMkQcAQKj596+N8Xuf371ZG4BIAABOQpEHAIBFzoiNGtB+Kyv3mBwJAMBJwrbIi3D13+bESU/gAwEAhLXa4uv93uc//r/3lVFUGoBoAABOELZF3sfFM3T+OWf02eaSn60jiQIAAsrl8uFXRwAA/BC2RZ4k/ePfp/nUbuHfPghsIACAsBYfEzmg/ZqOnTQ5EgCAE4R1keerP1TstjoEAICDze/n+a29yf31P3X0BIUeAKAr2xV5R44c0cSJE5Wdna2xY8dq2bJlAe3vvZ9/LaDHBwCgP1/LTBnQfgeOtmncz19hagEAoIuBLesVQEOHDlV5ebni4+PV2tqqsWPH6sYbb9TZZ58dkP4S4qJ9apdRVKq6xTMCEgMAILyNTup7jjgAAP6w3Z28yMhIxcfHS5La2tpkGIYMw7A4qs9kFJUy/wEAYLpIX5Z87oenwx65EgBgPb+LvPLycs2cOVOpqalyuVxas2ZNtzZut1sZGRmKi4tTTk6ONm7c6FcfR44cUVZWlkaNGqUHHnhASUlJ/obpl0dmjfW5bdYvXtEn/zoWwGgAAPDfSx/stzoEAIBN+F3ktba2KisrS263u8fPV65cqcLCQi1atEibN29WVlaW8vLy1NjY6G3TOd/u9Ne+ffskScOGDdOWLVtUW1ur559/Xg0NDQP8er75t5x0v9pf/Z+vBygSAAAGZv7z7yqjqNQ2o18AANbxe05efn6+8vPze/18yZIlmjdvnubOnStJKikpUWlpqZYvX66ioiJJUnV1tU99JScnKysrS2+88YZuuummHtu0tbWpra3N+765udnHb/I5nlEEADCbGflpIEYvWMsccgAIc6bOyWtvb1dVVZVyc3M/7yAiQrm5uaqoqPDpGA0NDTp69KgkqampSeXl5br44ot7bV9cXKzExETvKy0tbUCxv3zfl/1qn1FUqof/34cD6gsA4Hz+5qeqn+b2+TkAAL4ytcg7ePCgPB6PkpOTu2xPTk5WfX29T8fYvXu3pk6dqqysLE2dOlU//OEPNW7cuF7bL1iwQE1NTd7X3r17BxT7xSlD/f7l8/dv1emkp2NA/QEAnM3f/HT2mbGm3YE71n6KhcIAIIzZ7hEKkydP9nk4pyTFxsYqNjZWbrdbbrdbHo8ncMH14KKHXmJYDACgGyvzU+bClyVJ//7VMfrhtRcFrV8AgD2YeicvKSlJkZGR3RZKaWhoUErKwB706quCggLV1NSosrJyUMf59ewskyICAMC8/DQQv3p1R9D7BABYz9QiLyYmRhMmTFBZWZl3W0dHh8rKyjRlyhQzu+rG7XYrMzNTkyZNGtRx8seO9HufjKLSQfUJAHAuf/PTtkeuM7V/VtsEgPDjd5HX0tKi6upq75DK2tpaVVdXa8+ePZKkwsJCLVu2TM8995y2bt2qe+65R62trd7VNgPFrF9K46IjB7TffS+8O6h+AQDO5G9+Gmge6s3oBWv5MRIAwozfc/I2bdqk6dOne98XFhZKkubMmaMVK1Zo9uzZOnDggBYuXKj6+nplZ2dr3bp13RZjcZo11fu0pnof8/MAALb0uzdrddfVo60OAwAQBH7fyZs2bZoMw+j2WrFihbfN/PnztXv3brW1tWnDhg3KyckxM+YemTVcc7Ce+ecuS/sHANiLXfLTI3+v0c0lb+t4e3AXKAMABJ/LcNhg/ebmZiUmJqqpqUkJCQkDPo779Z165+NDeuOjgwPav+qnuTr7zNgB9w8A6M6sa7wV/Im9ofmEch4v67PNYDDqBADMZbf8ZOrCK05SMP1C/fGugd+BnPDoaypcVW1eQACAsJGcEKePH78+YMdf98H+gB0bAGA9xxR5dhkO80V/3fypTvGwdAAIawPNTxERLsXHmLsIS6fv/89mTSku097DxwJyfACAtRiu6YPBrkrGsBgAMIfdhsP4YyCxb6o7rJtKKgIaFzkKAAbPbvnJMXfyAqlu8QxNOf/sAe+fUVSqjKJS7uoBAPxyRfpZAe9jVeXegPcBAAguxxR5gR6u+ee7rxz0MS586CUTIgEAhJLB5KeICFcAIurqJ//fe8ooKtVTZR8FvC8AQHAwXNMPTcdOKusXrwzqGK/++Mu6KHmoSREBQHix23AYfww09mA+yJyhmwAwMHbLT465kxcMifHRgz7GV39drtnPVMjT4ajaGgAQIP9x3SVB6+voiZNB6wsAEDgUeX46+4yYQR9jQ+1hXfDgWhOiAQA43T3TLgjaHbZxPx/caBUAgD1Q5Pmp6mdfNS3Z/uQvW0w5DgAAAAB0ckyRF+zn5G175LpBH2PVpk+8K2/e8uw7JkQFALAbOz7HFQDgbI4p8goKClRTU6PKysqg9BcXHamvjDnHtONVfHxIb+08qCde3qYO5usBgGOYlZ8ev2GcSREBAJzOMUWeFZ67c7Kpx7v1vzfI/founc98PQDAab6Tk251CACAEEGRN0iBmgy/dX9zQI4LAAhddYtn8JgDAEC/KPJMEIiEm/9fb5h+TAAAAADO55giz+qJ7dULv2r6MTOKSvXyh/WmHxcAEDyByE9pw4eYdiwAgPO4DMNw1CofVj5t/sbfvqXNe44EtI8Hr79Ed3/5goD2AQB2ZeU1frDMjL3p2Ell/SIwz7RjOCgA+M9u+SnK6gCc5K8/+JL3nzOKSgPSx+Nrt1HkAUCYS4yPtjoEAICNOWa4pt08kHdxwI7d+Wy9QBWSAAD7YxEWAEBvKPICpGD6hTrv7PiA90OhBwAAAOCLKPIC6J8PTFfd4hlaefeVAe2Hu3oAEL4+fDjP6hAAADZDkRcEOeefHZR+KPQAIPycERulusUztP3R66wOBQBgExR5AAA4QGxUpNUhAABswjFFntXPyevPzsfyrQ4BAGABu+cnAIDz8Jy8IDpx0qN/bGvUD/60OWB9sNIaACez8zW+P8GKvXBltSZknKWHXvxgQPuTRwDAf3bLT465kxcK4qIjdf24kaotvt7qUAAADrVkdrZuzTnP6jAAABaiyLOAy+VS3eIZ2vDgtVaHAgAAAMBhKPIslJwQp7rFM/TINy6zOhQAAAAADkGRZwO3TcmwOgQAgMO8+R/TrQ4BAGARijybqFs8Q3WLZyhzpPUTNQEAoW/UWfE8Pw8AwhRFns2svXeq1SEAABwkNipSo5POsDoMAEAQ2bbIO3bsmM477zzdf//9VocSdHWLZ+jjx1mBEwBgjtfvn8ajEQAgjNi2yHvsscd05ZVXWh2GZSIiXANKyA577CEAwEQfPJxndQgAgCCwZZH30Ucfadu2bcrPz7c6FMv98a7JfrWnxgMA9ObM2CirQwAABIHfRV55eblmzpyp1NRUuVwurVmzplsbt9utjIwMxcXFKScnRxs3bvSrj/vvv1/FxcX+huZIUy86x7soy/e/ckG/7anxAAB96cwpd3/5fKtDAQAEiN9FXmtrq7KysuR2u3v8fOXKlSosLNSiRYu0efNmZWVlKS8vT42Njd422dnZGjt2bLfXvn379Le//U1jxozRmDFjBv6tHKoo/xLvP//omgt7bMNwTQCALx68/lKrQwAABIjf4zby8/P7HEa5ZMkSzZs3T3PnzpUklZSUqLS0VMuXL1dRUZEkqbq6utf933nnHb3wwgtavXq1WlpadPLkSSUkJGjhwoU9tm9ra1NbW5v3fXNzs79fKaR8cZ7eU//Y2e3zDmo8ALCFUMhPnTklo6jU4kgAAGYydU5ee3u7qqqqlJub+3kHERHKzc1VRUWFT8coLi7W3r17VVdXpyeffFLz5s3rtcDrbJ+YmOh9paWlDfp7hIq6xTP0t4Ivacuir3m3GQzYBABbCKX8dOP4cyVJZ8REWhwJAMAMphZ5Bw8elMfjUXJycpftycnJqq+vN7MrrwULFqipqcn72rt3b0D6saustGFKiIvS1l9cp22PXKeYSFuupQMAYSeU8tNjN4xT5UO5envBtVaHAgAwga2X2brjjjv6bRMbG6vY2Fi53W653W55PJ7AB2YzLpdLQ/j1FQBsJZTy05CYSPIIADiIqbd9kpKSFBkZqYaGhi7bGxoalJKSYmZX3RQUFKimpkaVlZUB7QcAAH+QnwAAwWZqkRcTE6MJEyaorKzMu62jo0NlZWWaMmWKmV1143a7lZmZqUmTJgW0HwAA/EF+AgAEm8vwc839lpYW7dz52aqO48eP15IlSzR9+nQNHz5c6enpWrlypebMmaNnnnlGkydP1tKlS7Vq1Spt27at21y9QGhublZiYqKampqUkJAQ8P4AAMETytf4UI4dANA3u13j/Z6Tt2nTJk2fPt37vrCwUJI0Z84crVixQrNnz9aBAwe0cOFC1dfXKzs7W+vWrQtKgQcAAAAA4c7vO3l29cWJ7Tt27LBNFQ0AMI/dfin1BfkJAJzPbvnJMUVeJ7udYACAeUL5Gh/KsQMA+ma3azwPVQMAAAAAB3FMkcfqZQAAOyI/AQCCjeGaAICQEcrX+FCOHQDQN7td4x1zJw8AAAAAQJEHAAAAAI7imCKPOQ8AADsiPwEAgo05eQCAkBHK1/hQjh0A0De7XeMdcycPAAAAAECRBwAAAACOEmV1AGZxu91yu906deqUpM9umQIAnKXz2h5KMw3ITwDgfHbLT46bk/fxxx/rggsusDoMAEAA7dq1S+eff77VYfiF/AQAzmeX/OSYO3mdhg8fLknas2ePEhMTLY7G/pqbm5WWlqa9e/faYpKonXGu/MP58h3nyndNTU1KT0/3XutDCfnJd/w74TvOlX84X77jXPnHbvnJcUVeRMRn0wwTExP5P6QfEhISOF8+4lz5h/PlO86V7zqv9aGE/OQ//p3wHefKP5wv33Gu/GOX/GSPKAAAAAAApqDIAwAAAAAHcVyRFxsbq0WLFik2NtbqUEIC58t3nCv/cL58x7nyXSifq1COPdg4V77jXPmH8+U7zpV/7Ha+HLe6JgAAAACEM8fdyQMAAACAcEaRBwAAAAAOQpEHAAAAAA5CkQcAAAAADkKRBwAAAAAOQpEHAAAAAA5CkQcAAAAADkKRBwAAAAAOQpEHAAAAAA5CkQcAAAAADkKRBwAAAAAOQpEHAAAAAA4SZXUAZuvo6NC+ffs0dOhQuVwuq8MBAJjIMAwdPXpUqampiogIrd8pyU8A4Fx2y0+OK/L27duntLQ0q8MAAATQ3r17NWrUKKvD8Av5CQCczy75yXFF3tChQyV9doITEhIsjgYAYKbm5malpaV5r/WhhPwEAM5lt/zkuCKvcwhMQkICSRQAHCoUhzuSnwDA+eySn6wfMAoAAAAAMA1FHgAAAAA4CEUeAAAAADiIY+bkud1uud1ueTweq0MBYHMej0cnT560Ogz0IiYmxhbLT5uF/ATAFx0dHWpvb7c6DPQiOjpakZGRVofhM5dhGIbVQZipublZiYmJampqYmI7gC4Mw1B9fb2OHDlidSjoQ0REhEaPHq2YmJhun4XyNT6UYwcQWO3t7aqtrVVHR4fVoaAPw4YNU0pKSo+Lq9jtGu+YO3kA0J/OAm/EiBGKj4+3zQpY+FznA8P379+v9PR0/kYAHM8wDO3fv1+RkZFKS0tz1EgGpzAMQ8eOHVNjY6MkaeTIkRZH1D+KPABhwePxeAu8s88+2+pw0IdzzjlH+/bt06lTpxQdHW11OAAQUKdOndKxY8eUmpqq+Ph4q8NBL4YMGSJJamxs1IgRI2w/dJOfCgCEhc45eCRQ++scpskcNgDhoPNa19MQddhL539DhMK8foo8AGGF4X/2x98IQDji2md/ofQ3osgDAAAAAAexZZF3ww036KyzztJNN91kdSgAYBtut1sZGRmKi4tTTk6ONm7c2Gf71atX65JLLlFcXJzGjRuntWvXdvncMAwtXLhQI0eO1JAhQ5Sbm6uPPvqoS5vDhw/r1ltvVUJCgoYNG6a77rpLLS0t3s9PnDihO+64Q+PGjVNUVJRmzZrVYyxtbW166KGHdN555yk2NlYZGRlavnz5wE4EAMA2yE32ZMsi795779Uf/vCHQR2j7lCrSdEAgPVWrlypwsJCLVq0SJs3b1ZWVpby8vK8K32d7u2339Ytt9yiu+66S++++65mzZqlWbNm6YMPPvC2+eUvf6mnnnpKJSUl2rBhg8444wzl5eXpxIkT3ja33nqrPvzwQ7366qv6+9//rvLyct19993ezz0ej4YMGaIf/ehHys3N7TX+b33rWyorK9Pvfvc7bd++XX/+85918cUXm3BmAABWITfZmGFTr7/+uvHNb37T7/2ampoMSUZp1a4ARAUgVB0/ftyoqakxjh8/bnUoAzJ58mSjoKDA+97j8RipqalGcXFxj+2/9a1vGTNmzOiyLScnx/je975nGIZhdHR0GCkpKcYTTzzh/fzIkSNGbGys8ec//9kwDMOoqakxJBmVlZXeNi+99JLhcrmMTz/9tFufc+bMMb7xjW902/7SSy8ZiYmJxqFDh3z6rn39rTqv8U1NTT4dy05COXYAgRPK+SmccpNhhFZ+8vtOXnl5uWbOnKnU1FS5XC6tWbOmWxt/b9sCAHrX3t6uqqqqLr9GRkREKDc3VxUVFT3uU1FR0e3Xy7y8PG/72tpa1dfXd2mTmJionJwcb5uKigoNGzZMEydO9LbJzc1VRESENmzY4HP8//u//6uJEyfql7/8pc4991yNGTNG999/v44fP+7zMZzk4NE2q0MAgEEjN9mb38/Ja21tVVZWlu68807deOON3T7vvG1bUlKinJwcLV26VHl5edq+fbtGjBghScrOztapU6e67fvKK68oNTV1AF8DAPxnGIaOn7Rmmf4h0ZE+r9J18OBBeTweJScnd9menJysbdu29bhPfX19j+3r6+u9n3du66tN53W7U1RUlIYPH+5t44uPP/5Yb775puLi4vTiiy/q4MGD+sEPfqBDhw7p97//vc/HcYoTFv1/DkBoIDeRm8zgd5GXn5+v/Pz8Xj9fsmSJ5s2bp7lz50qSSkpKVFpaquXLl6uoqEiSVF1dPbBoe9DW1qa2ts9/FW1ubjbt2ACc7fhJjzIXvmxJ3zW/yFN8jN+X4JDU0dEhl8ulP/3pT0pMTJT0Wa646aab9Nvf/tb7gFmnIT8BGAhyU3A4PTeZuvDKQG7bDlZxcbESExO9r7S0NEnSHhZeAeAQSUlJioyMVENDQ5ftDQ0NSklJ6XGflJSUPtt3/m9/bU6fPH/q1CkdPny41357MnLkSJ177rneJCpJl156qQzD0CeffOLzcUJNb/kJAJyA3GRvppbqA7lt25Pc3Fxt2bJFra2tGjVqlFavXq0pU6b02HbBggUqLCz0vm9ublZaWpoeX7tN3//quIF9EQBhYUh0pGp+kWdZ376KiYnRhAkTVFZW5l0GuqOjQ2VlZZo/f36P+0yZMkVlZWW67777vNteffVV77V09OjRSklJUVlZmbKzsyV9dv3csGGD7rnnHu8xjhw5oqqqKk2YMEGS9I9//EMdHR3KycnxOf4vfelLWr16tVpaWnTmmWdKknbs2KGIiAiNGjXK5+OEmt7yk2FhTADsj9xEbjLFYFZtkWS8+OKL3veffvqpIcl4++23u7R74IEHjMmTJw+mq349/fTTxqWXXmqMGTPGkGSk3bcqoP0BCC2hvHqZYRjGCy+8YMTGxhorVqwwampqjLvvvtsYNmyYUV9fbxiGYdx2221GUVGRt/1bb71lREVFGU8++aSxdetWY9GiRUZ0dLTx/vvve9ssXrzYGDZsmPG3v/3NeO+994xvfOMbxujRo7uco+uuu84YP368sWHDBuPNN980LrroIuOWW27pEtuHH35ovPvuu8bMmTONadOmGe+++67x7rvvej8/evSoMWrUKOOmm24yPvzwQ+Of//yncdFFFxnf/e53e/yuobR6mS9Oz0+/K/vA6pAA2Ego56dwyk2GEVr5ydQir62tzYiMjOyyzTAM4/bbbze+/vWvD6Yrn3WeYIo8AF8Uykm0029+8xsjPT3diImJMSZPnmy888473s++8pWvGHPmzOnSftWqVcaYMWOMmJgY47LLLjNKS0u7fN7R0WH87Gc/M5KTk43Y2Fjj2muvNbZv396lzaFDh4xbbrnFOPPMM42EhARj7ty5xtGjR7u0Oe+88wxJ3V5ftHXrViM3N9cYMmSIMWrUKKOwsNA4duxYj98zlJKoPzpjf+zFKqtDAWAjoZ6fwiU3GUZo5SeXYRgDHjnicrn04osvdnmKfE5OjiZPnqzf/OY3kj67bZuenq758+d7F14JpObm5s/mPty3Snt+fXPA+wMQGk6cOKHa2lqNHj1acXFxVoeDPvT1t+q8xjc1NSkhIcGiCAemM/ZH/7pJD90wwepwANgE+Sl0hFJ+8ntOXktLi3bu3Ol9X1tbq+rqag0fPlzp6ekqLCzUnDlzNHHiRE2ePFlLly5Va2urd7XNQHG73XK73fJ4WJoaAGAfp+enpuMnLY4IAOB0fq+uuWnTJo0fP17jx4+XJBUWFmr8+PFauHChJGn27Nl68skntXDhQmVnZ6u6ulrr1q3rthiL2QoKClRTU6PKysqA9gMAgD9Oz08vVO61OCIAgNP5fSdv2rRp6m+E5/z583tdVSdQuJMHALAj8hMAINhMfU6elbiTBwCwI/ITACDYHFPk9eTESX41BQAAABBeHFPkud1uZWZmatKkSd5tjc1tFkYEwI4GsaAwgsRpf6Oe8hMAnM5p1z4nCqW/kWOKvJ6Gw1R/csS6gADYSnR0tCTp2LFjFkeC/rS3t0uSIiMjLY7EHAzXBNCXzmtd57UP9tX53xCd/01hZ34vvBJKfvv6Tn09K9XqMADYQGRkpIYNG6bGxkZJUnx8vFwul8VR4XQdHR06cOCA4uPjFRXl6BQFAJKkqKgoxcfH68CBA4qOjlZEhGPuwTiGYRg6duyYGhsbNWzYsJD4EdLRGXRb/VGrQwBgIykpKZLkLfRgTxEREUpPT6cIBxAWXC6XRo4cqdraWu3evdvqcNCHYcOGef9bwu4cU+SxRDWA/nQm0hEjRujkSR5IbVcxMTGO+iWb/ASgPzExMbrooosYsmlj0dHRIXEHr5PLCKUZhD5obm5WYmKi0u5bpYjYeNUtnmF1SAAAk3Re45uampSQkGB1OH75Yn7a8+ubrQ4HAGAiu+Un5/xUCgAAAACgyAMAINhK39tvdQgAAAdzTJHHc4gAAHbUU34qeH6zhREBAJzOMUVeb88hajx6wqKIAADgOXkAgOBzTJHXm/IdB60OAQAAAACCxvFF3pJXtlsdAgAAAAAEjeOLvH1NDNcEAAAAED4cX+QBAAAAQDhxTJHH6poAADsiPwEAgs0xRR6rlwEA7Ki3/NR0/KRFEQEAnM4xRR4AAKFkw8eHrA4BAOBQFHkAAFhgwV/ftzoEAIBDUeQBAGCBQ63tVocAAHCosCjy9jcdtzoEAAAAAAiKsCjynnt7t9UhAAAAAEBQhEWRV/LPXVaHAABAN4ZhWB0CAMCBHFPk8RwiAIAd9ZWfGo+2WRARAMDpHFPk8Zw8AIAd9ZWffrrmAwsiAgA4nWOKPAAAQs2rNQ1WhwAAcKCwKfKY9wAAAAAgHIRNkffGRwetDgEAAAAAAi5sirzbl2+0OgQAAAAACLiwKfIAALAjphMAAMxmuyJv7969mjZtmjIzM3X55Zdr9erVVocEAEDAvPxhvdUhAAAcxnZFXlRUlJYuXaqamhq98soruu+++9Ta2mp1WAAABMT3/2ez1SEAABwmyuoATjdy5EiNHDlSkpSSkqKkpCQdPnxYZ5xxxqCP3dFhKCLCNejjAAAAAIBd+X0nr7y8XDNnzlRqaqpcLpfWrFnTrY3b7VZGRobi4uKUk5OjjRsHtuhJVVWVPB6P0tLSBrT/6X73Zq0pxwEAAAAAu/K7yGttbVVWVpbcbnePn69cuVKFhYVatGiRNm/erKysLOXl5amxsdHbJjs7W2PHju322rdvn7fN4cOHdfvtt+vZZ58dwNfq2WNrt5p2LAAAAACwI7+Ha+bn5ys/P7/Xz5csWaJ58+Zp7ty5kqSSkhKVlpZq+fLlKioqkiRVV1f32UdbW5tmzZqloqIiXXXVVf22bWtr875vbm728ZsAABA4/uQnT4ehSKYTAABMYurCK+3t7aqqqlJubu7nHUREKDc3VxUVFT4dwzAM3XHHHbrmmmt022239du+uLhYiYmJ3pdZQzsBABgMf/LT69sae/0MAAB/mVrkHTx4UB6PR8nJyV22Jycnq77etyWi33rrLa1cuVJr1qxRdna2srOz9f777/fafsGCBWpqavK+9u7d2+fxeR4RACAY/MlP3/ufqiBGBgBwOtutrnn11Vero6PD5/axsbGKjY31uf0n/zqutOHxAwkNAACf+ZOfPB38AAkAMI+pd/KSkpIUGRmphoaGLtsbGhqUkpJiZlfduN1uZWZmatKkSX22+/WrOwIaBwAAX+RrfgIAwCymFnkxMTGaMGGCysrKvNs6OjpUVlamKVOmmNlVNwUFBaqpqVFlZWWf7f767qcBjQMAgC/yNT8BAGAWv4drtrS0aOfOnd73tbW1qq6u1vDhw5Wenq7CwkLNmTNHEydO1OTJk7V06VK1trZ6V9sMFLfbLbfbLY/HE9B+AADwB/kJABBsLsPPlUjWr1+v6dOnd9s+Z84crVixQpL09NNP64knnlB9fb2ys7P11FNPKScnx5SA+9Pc3PzZKmb3rVJEbM9z7+oWzwhKLAAAc3Ve45uampSQkGB1OH7pLz+RmwAgdNktP/l9J2/atGn9rlA5f/58zZ8/f8BBDQS/lAIA7MjX/LR+e6OmXTwiSFEBAJzM7zt5dtdZRX/32X/q1V1He2zDr6UAEJrs9kupP3wZaZJ3WbKeuW1ikCMDAAyW3fKTqQuv2Ml/3nR5r5+xVDUAwI5e/rCh/0YAAPTDMUXe6UtUR0X2/tUueHCt9hw6FqzQAABhjEcoAACCzTFFnr9LVH/5idcDHBEAADxCAQAQfI4p8gbCYdMRAQAO0HT8pNUhAABCXFgXeRUfH7I6BAAAuvjHNublAQAGxzFF3kDmPHxn2YYARgQAQPf89Me7+s5TT768IxhhAQAczDFFXk9zHu7/2hgLIwIAoHt+Gp8+vM/2nx45HoywAAAO5pgiryc/mHah1SEAAAAAQFA5usgDACAUZRSVWh0CACCEOabI62lOnstlYUAAAGjgz8nbwOJgAIABckyR19OcPJcPVd7xdk8gwwIAhLme8tNZ8dH97jf72XcCGRYAwMEcU+QN1KUL1/G8PABAUD17+0SrQwAAOJjji7zrLkvpt83oBWuDEAkAAJ+5Iv0sq0MAADiY44u8ktsmWB0CAABdREb4Nmnc08FIEwCA/xxf5Pmq7mCr1SEAANDFBQ8y0gQA4D/HFHkDXb2s07Qn15sbEAAAGnx+AgDAX44p8npavQwAAKv1lp9GJ51hUUQAAKdzTJFnhtL39lsdAgAgTPx6drZP7TKKSnWs/VRggwEAOErYFXl1i2f0+lnB85uDGAkAIJxljUr0uW3mwpcDGAkAwGnCosjb/uh1GpN8pn5zy3irQwEAQJLkcvm2wiYAAP4KiyIvNipSr/z4K5qZldpv27+/ty8IEQEA4J93Pj5kdQgAgBARFkWeP+Y//66+tPgfVocBAEAX3372HatDAACEiLAs8s4dNqTPzz89cjxIkQAA4LuFf/vA6hAAACHAMUWeP88h+tW3svpts6PhqBlhAQDCXF/5KTrSv3l5f6jYrYyiUrNCAwA4lGOKPH+ekzfxvLP6bfO1X5ebERYAIMz1lZ8eu2GcBREBAJzOMUWeP6Iiw/JrAwBs5v9cPtLqEAAADkS1AwCAReJjoga0n6fDMDkSAICThG2RV/OLvH7bZBSV6rbfbQhCNAAA+O69T45YHQIAwMbCtsiLj4nSx49f32+7Nz46GIRoAADh6sOH+//R8XQ3/PZtZRSVyjC4owcA6C5sizxJiojwbVWzv1V/GuBIAADh6ozYKP321isGtO/oBWtNjgYA4AS2K/KOHDmiiRMnKjs7W2PHjtWyZcsC2t+Zsf3Ph7j3heqAxgAACG/TLj7H6hAAAA5iuyJv6NChKi8vV3V1tTZs2KDHH39chw4dClh/H/g4TOZgS1vAYgAAhLeBLsAiiSGbAIBubFfkRUZGKj4+XpLU1tYmwzBskcAmPvqaWttOWR0GAABdjF6wVhlFpTpx0mN1KAAAm/C7yCsvL9fMmTOVmpoql8ulNWvWdGvjdruVkZGhuLg45eTkaOPGjX71ceTIEWVlZWnUqFF64IEHlJSU5G+YAXHZopeVUVRqdRgAAHRzyc/WWR0CAMAm/C7yWltblZWVJbfb3ePnK1euVGFhoRYtWqTNmzcrKytLeXl5amxs9LbpnG93+mvfvn2SpGHDhmnLli2qra3V888/r4aGhgF+Pd9Mvci/IrLuYGuAIgEAAACAwfG7yMvPz9ejjz6qG264ocfPlyxZonnz5mnu3LnKzMxUSUmJ4uPjtXz5cm+b6upqffDBB91eqampXY6VnJysrKwsvfHGG/6G6ZeSf5vgV/tpT64PTCAAAAyCHaY3AACsZ+qcvPb2dlVVVSk3N/fzDiIilJubq4qKCp+O0dDQoKNHj0qSmpqaVF5erosvvrjX9m1tbWpubu7y8tcZPqywebqLHlpLMgUA9MqM/OSvzvl55CcACG+mFnkHDx6Ux+NRcnJyl+3Jycmqr6/36Ri7d+/W1KlTlZWVpalTp+qHP/yhxo0b12v74uJiJSYmel9paWkDir1u8Qzt8uHh6J1OegyeTwQA6JW/+elP380xrW/yEwCEt4Gv2RwgkydPVnV1tc/tFyxYoMLCQu/75ubmARd6kT4+HB0AgP74m5++dKE9FhkDAIQ+U+/kJSUlKTIysttCKQ0NDUpJSTGzK6/Y2FglJCToj3/8o6688kpde+21AemnN4WrqoPaHwAgNAwkP9UtnhGEyAAATmdqkRcTE6MJEyaorKzMu62jo0NlZWWaMmWKmV11U1BQoJqaGlVWVga0n9P9dfOn+uRfx4LaJwAgdPibn2Zlp/bfyAcZRaXKKCrVv1rbTTkeACB0+F3ktbS0qLq62juksra2VtXV1dqzZ48kqbCwUMuWLdNzzz2nrVu36p577lFra6vmzp1rauCnc7vdyszM1KRJkwZ1nBVz/d//6v98fVB9AgCcy9/89KtvZZva//hHXjX1eAAA+3MZfi7BtX79ek2fPr3b9jlz5mjFihWSpKefflpPPPGE6uvrlZ2draeeeko5OeZNKO9Lc3OzEhMT1dTUpISEBL/3P+Xp0IUPvTSgvmuLr5fLxbw+AAiUwV7jreRP7BlFpab2/dFj+YqONHXwDgDgC+yWn/wu8uzOjBM8mOTKfAoACBy7JVF/WFnkdeLHSAAIDLvlJ8f8rGfWcE1Jen7ewO86XvKzl7Tug/2DjgEA4AwDyU9/+X5g5rHzaAUACA/cyevD9f/1hmr2D/zhtdzVAwBz2e2XUn/4G3ug7uaRmwDAfHbLT465kxcIa++dOqj9F/3tA5MiAQDAHJ2rbjrsN14AwBc4psgzc7jmF73/868NeN/nKnabGAkAIBQNND/teDRfuZeOCFBUDN0EACdjuKYPdh1o0bW/+uegjrHxoWs1YmicKfEAQLiy23AYfww09kAN25Q+W4jFMKSICBZjAYDBsFt+csydvEC64JwzBz2HYfJjZQyNAQDYyugFa3X+g2tVWXfY6lAAACZyTJEXqOGaZmJoDACEn1DITzeXVFgdAgDARI4p8goKClRTU6PKysqA9XFF+rBBH+ODT5u4owcAYWSw+Sk6MjhDKTOKSvX9P1YFpS8AQGA5psgLhlXfG/xzi/7Pb97U6AVrddLTYUJEAACnW1PwpaD1te7Deq3atDdo/QEAAoMizw9RkREq+bcrFBM5+NN20UMvmRARAMDpLktNDGp/P/nLe0HtDwBgPoo8P103dqR2PJZvyrEyiko17w+btK1+4A9cBwA4X23x9YN6pA8AILw4psgL9sT2nSYVeq/WNOi6pW/osdIaU44HALAXM/KTy+XS0LhoE6MCADgZz8kbhHf3/Es3/PZt04872Mc1AIBT2e05RP4wI/ZAPjPvi8hDAOAfu+Unx9zJs8L49LMCctxXPqwPyHEBAAAAOB9F3iDVLZ6heVNHm3rMu1nCGgDQg9fvn2Z1CACAEECRZ4KHZmSafsyMolIt/NsHph8XABC6RiedobrFM1RbfL3VoQAAbMwxRV6wF1453bZHrjP9mH+o2K2MolJ9euS48n5dro4OR02fBICwEIj85HIF5wHpAIDQxMIrARDIifFMhgcQzuxwjR8os2Mn1wCAfdgtPznmTp6dBHIYzV0rKpVRVBq0FdYAAPZ07rAhVocAALApirwAcLlcKph+QUCOXbat0fvPK96qDUgfAAD7e+Mn060OAQBgUxR5AfJA3iWqLb5ej98wLmB9/Pz/1SijqFTPvV0XsD4AAPYUEeHStkeu0ys//rLVoQAAbIYiL4BcLpe+k5Me8H4W/e+HKn1vf8D7AQDYS1x0pMYkD7U6DACAzVDkBUEwhtQUPL854H0AAOyp9EdXWx0CAMBGKPKCIG14fFD6cdhCqQAAH12Wmqhdj1+vLYu+ZnUoAAAbcEyRZ/Vz8vpTW3y9Hsi7WBEBfLRR3aFjgTs4AGBAgpWfIiNcShwSHdA+AAChwTFFXkFBgWpqalRZWWl1KD36bMXNC/VxceCePcSdPACwH7vnJwCA8zimyAsldYtn6M3/MH+eHiUeAGDjQ9daHQIAwGIUeRYZdVa86hbP0LZHrjPtmNzIAwCMGBqnusUzVLc4cCNHAAD2RpFnsbjoSBOPRpUHAAAAhDuKPBsw6xdX7uQBAL7o8RvGWR0CAMACFHk2Ult8/aD276DIAwB8wXdy0nXvtRfp3msvsjoUAEAQUeTZiMvlUm3x9Xr3Z18d0P4eqjwAwGl+/NUx+vFXx1gdBgAgiGxb5B07dkznnXee7r//fqtDCSqXy6WzzogZ0PDNDsZrAgB6cc7QWKtDAAAEiW2LvMcee0xXXnml1WFY6pnbJvjVnjt5AIDeVD6Uq7rFM7T1F+at6gwAsCdbFnkfffSRtm3bpvz8fKtDsVTeZSl6/f5p+vsPr9bQ2Kh+23MnDwDQnyExZq7qDACwI7+LvPLycs2cOVOpqalyuVxas2ZNtzZut1sZGRmKi4tTTk6ONm7c6Fcf999/v4qLi/0NzZFGJ52hsecm6v2H87ps6wk38gAAvmDVTQBwtv5vD52mtbVVWVlZuvPOO3XjjTd2+3zlypUqLCxUSUmJcnJytHTpUuXl5Wn79u0aMWKEJCk7O1unTp3qtu8rr7yiyspKjRkzRmPGjNHbb789gK/kXF+cp5dRVNrtc+7kAQB88Z2cdH0nJ11Sz/kEABDa/C7y8vPz+xxGuWTJEs2bN09z586VJJWUlKi0tFTLly9XUVGRJKm6urrX/d955x298MILWr16tVpaWnTy5EklJCRo4cKFPbZva2tTW1ub931zc7O/XykkPf/dHH3nvzcoK22Ytuw9IkmKjbLl6FsACEvhmp8AANYztSpob29XVVWVcnNzP+8gIkK5ubmqqKjw6RjFxcXau3ev6urq9OSTT2revHm9Fnid7RMTE72vtLS0QX+PUHDVhUmqWzxDfyv4kndbckKchREBAL4oVPJT3eIZevdnX9Xff3i11aEAAEzi9528vhw8eFAej0fJycldticnJ2vbtm1mduW1YMECFRYWet83NzfbNpEGykAetwAACKxQyk9nnREz4Mf3AADsx9Qiz2x33HFHv21iY2MVGxsrt9stt9stj8cT+MAAAOgH+QkAYBVTh2smJSUpMjJSDQ0NXbY3NDQoJSXFzK66KSgoUE1NjSorKwPaDwAA/iA/AQCCzdQiLyYmRhMmTFBZWZl3W0dHh8rKyjRlyhQzu+rG7XYrMzNTkyZNCmg/AAD4g/wEAAg2l2H4t+5+S0uLdu7cKUkaP368lixZounTp2v48OFKT0/XypUrNWfOHD3zzDOaPHmyli5dqlWrVmnbtm3d5uoFQnNzsxITE9XU1KSEhISA9wcACJ5QvsaHcuwAgL7Z7Rrv95y8TZs2afr06d73nZPK58yZoxUrVmj27Nk6cOCAFi5cqPr6emVnZ2vdunVBKfAAAAAAINz5fSfPrr44sX3Hjh22qaIBAOax2y+lviA/AYDz2S0/OabI62S3EwwAME8oX+NDOXYAQN/sdo03deEVAAAAAIC1HFPksXoZAMCOyE8AgGBjuCYAIGSE8jU+lGMHAPTNbtd4x9zJAwAAAAA4qMhjOAwAwI7ITwCAYGO4JgAgZITyNT6UYwcA9M1u13jH3MkDAAAAAFDkAQAAAICjUOQBAAAAgINEWR2AWdxut9xut06dOiXps3GxAABn6by2h9J0cvITADif3fKT4xZe+fjjj3XBBRdYHQYAIIB27dql888/3+ow/EJ+AgDns0t+csydvE7Dhw+XJO3Zs0eJiYkWR2N/zc3NSktL0969e22xEpCdca78w/nyHefKd01NTUpPT/de60MJ+cl3/DvhO86VfzhfvuNc+cdu+clxRV5ExGfTDBMTE/k/pB8SEhI4Xz7iXPmH8+U7zpXvOq/1oYT85D/+nfAd58o/nC/fca78Y5f8ZI8oAAAAAACmoMgDAAAAAAdxXJEXGxurRYsWKTY21upQQgLny3ecK/9wvnzHufJdKJ+rUI492DhXvuNc+Yfz5TvOlX/sdr4ct7omAAAAAIQzx93JAwAAAIBwRpEHAAAAAA5CkQcAAAAADkKRBwAAAAAOQpEHAAAAAA5CkQcAAAAADkKRBwAAAAAOQpEHAAAAAA5CkQcAAAAADkKRBwAAAAAOQpEHAAAAAA5CkQcAAAAADhJldQBm6+jo0L59+zR06FC5XC6rwwEAmMgwDB09elSpqamKiAit3ynJTwDgXHbLT44r8vbt26e0tDSrwwAABNDevXs1atQoq8PwC/kJAJzPLvnJcUXe0KFDJX12ghMSEiyOBgBgpubmZqWlpXmv9aGE/AQAzmW3/OS4Iq9zCExCQgJJFAAcKhSHO5KfAMD57JKfrB8wCgAAAAAwDUUeAAAAADgIRR4AAAAAOIhj5uS53W653W55PB6rQwFgcx6PRydPnrQ6DPQiOjpakZGRVodhGvITAF8YhqFTp05xrbCpyMhIRUVF2WbOXX9chmEYVgdhpubmZiUmJqqpqYmJ7QC6aWlp0SeffCKHXfocxeVyadSoUTrzzDO7fRbK1/hQjh1AYLW3t2v//v06duyY1aGgD/Hx8Ro5cqRiYmK6fWa3a7xj7uQBQH88Ho8++eQTxcfH65xzzgmZX+PCiWEYOnDggD755BNddNFFjrqjBwA96ejoUG1trSIjI5WamqqYmBjyk80YhqH29nYdOHBAtbW1uuiii2zxwPO+UOQBCBsnT56UYRg655xzNGTIEKvDQS/OOecc1dXV6eTJkxR5AByvvb1dHR0dSktLU3x8vNXhoBdDhgxRdHS0du/erfb2dsXFxVkdUp/sXYICQADwC6m98fcBEI7sfmcIofU3Cp1IAQAAAAD9osgDAAAAAAexZZF3ww036KyzztJNN91kdSgAYBtut1sZGRmKi4tTTk6ONm7c2Gf71atX65JLLlFcXJzGjRuntWvXdvncMAwtXLhQI0eO1JAhQ5Sbm6uPPvqoS5vDhw/r1ltvVUJCgoYNG6a77rpLLS0t3s+3b9+u6dOnKzk5WXFxcTr//PP105/+tMsjKpYtW6apU6fqrLPO0llnnaXc3Nx+YwcAhAZykz3Zssi799579Yc//GFQx3j/kyPmBAMANrBy5UoVFhZq0aJF2rx5s7KyspSXl6fGxsYe27/99tu65ZZbdNddd+ndd9/VrFmzNGvWLH3wwQfeNr/85S/11FNPqaSkRBs2bNAZZ5yhvLw8nThxwtvm1ltv1YcffqhXX31Vf//731VeXq67777b+3l0dLRuv/12vfLKK9q+fbuWLl2qZcuWadGiRd4269ev1y233KLXX39dFRUVSktL09e+9jV9+umnAThT9ne8nWdgAXAGcpONGTb1+uuvG9/85jf93q+pqcmQZJRW7QpAVABC2fHjx42amhrj+PHjVofit8mTJxsFBQXe9x6Px0hNTTWKi4t7bP+tb33LmDFjRpdtOTk5xve+9z3DMAyjo6PDSElJMZ544gnv50eOHDFiY2ONP//5z4ZhGEZNTY0hyaisrPS2eemllwyXy2V8+umnvcb64x//2Lj66qt7/fzUqVPG0KFDjeeee67Hz/v6O3Ve45uamno9vl11xr7l431WhwLARshNoZGbDCO08pPfd/LKy8s1c+ZMpaamyuVyac2aNd3a+HvbFgCsYBiGjrWfsuRl+PEw9vb2dlVVVSk3N9e7LSIiQrm5uaqoqOhxn4qKii7tJSkvL8/bvra2VvX19V3aJCYmKicnx9umoqJCw4YN08SJE71tcnNzFRERoQ0bNvTY786dO7Vu3Tp95Stf6fX7HDt2TCdPntTw4cP7+ebO5M/fHkD4ITeRm8zg93PyWltblZWVpTvvvFM33nhjt887b9uWlJQoJydHS5cuVV5enrZv364RI0ZIkrKzs3Xq1Klu+77yyitKTU0dwNcAAP8dP+lR5sKXLem75hd5io/x7RJ88OBBeTweJScnd9menJysbdu29bhPfX19j+3r6+u9n3du66tN53W7U1RUlIYPH+5t0+mqq67S5s2b1dbWprvvvlu/+MUvev0+//Ef/6HU1NRuiR4AQG7q3NZXG3JT//wu8vLz85Wfn9/r50uWLNG8efM0d+5cSVJJSYlKS0u1fPlyYcrJogAASW5JREFUFRUVSZKqq6sHFm0P2tra1NbW5n3f3Nxs2rEBAL5ZuXKljh49qi1btuiBBx7Qk08+qZ/85Cfd2i1evFgvvPCC1q9fb/sHyQ5Wb/mJ+3gAEBzhnJv8LvL60nnbdsGCBd5t/d22Hazi4mI9/PDD3bYvXrtV119xfkD6BOAMQ6IjVfOLPMv69lVSUpIiIyPV0NDQZXtDQ4NSUlJ63CclJaXP9p3/29DQoJEjR3Zpk52d7W1z+uT5U6dO6fDhw936TUtLkyRlZmbK4/Ho7rvv1r//+78rMvLz7/nkk09q8eLFeu2113T55Zf7+vVDVm/5CQD6Qm4iN5nB1NU1+7pte/rt077k5ubq5ptv1tq1azVq1Kg+C8QFCxaoqanJ+9q7d68kqe7QsYF9CQBhw+VyKT4mypKXy+XyOc6YmBhNmDBBZWVl3m0dHR0qKyvTlClTetxnypQpXdpL0quvvuptP3r0aKWkpHRp09zcrA0bNnjbTJkyRUeOHFFVVZW3zT/+8Q91dHQoJyen13g7Ojp08uRJdXR0eLf98pe/1COPPKJ169Z1mUfhZL3lp/f3NlkcGQA7IzeRm8xg6p08s7z22ms+t42NjVVsbKzcbrfcbrc8HpamBuA8hYWFmjNnjiZOnKjJkydr6dKlam1t9Q6Nv/3223XuueequLhY0mePovnKV76iX/3qV5oxY4ZeeOEFbdq0Sc8++6ykz/4j4r777tOjjz6qiy66SKNHj9bPfvYzpaamatasWZKkSy+9VNddd53mzZunkpISnTx5UvPnz9e3v/1t7/zpP/3pT4qOjta4ceMUGxurTZs2acGCBZo9e7aio6MlSf/5n/+phQsX6vnnn1dGRob3R78zzzxTZ555ZjBPY1D1lp8+PthqcWQAYA5yk40NZmlOScaLL77ofd/W1mZERkZ22WYYhnH77bcbX//61wfTlc86ly9Nu29VUPoDEDpCeZlqwzCM3/zmN0Z6eroRExNjTJ482XjnnXe8n33lK18x5syZ06X9qlWrjDFjxhgxMTHGZZddZpSWlnb5vKOjw/jZz35mJCcnG7Gxsca1115rbN++vUubQ4cOGbfccotx5plnGgkJCcbcuXONo0ePej9/4YUXjCuuuMI488wzjTPOOMPIzMw0Hn/88S7n+LzzzjP02VS0Lq9Fixb1+D1DaYlqf3TGvugvlf03BhA2yE2hkZsMI7Tyk8swBr6Ws8vl0osvvuitrCUpJydHkydP1m9+8xtJn90aTU9P1/z5870LrwTCF38p3bFjh9LuW6U9v745YP0BCD0nTpxQbW2tRo8e7ZiJ1U7U19+publZiYmJampqUkJCgkUR+uf0/LRw9UY9fNMkq8MCYBPkptARSvnJ7zl5LS0tqq6u9q6QWVtbq+rqau3Zs0fSZ7dtly1bpueee05bt27VPffc0+W2baAUFBSopqZGlZWVAe0HAAB/nJ6fmo6dtDgiAIDT+T0nb9OmTZo+fbr3fWFhoSRpzpw5WrFihWbPnq0DBw5o4cKFqq+vV3Z2ttatW9dtMRYAAMLRX9/9VEtvtzoKAICT+V3kTZs2Tf2N8Jw/f77mz58/4KAGgoVXAAB2RH4CAASbqY9QsBLDNQEAdkR+AgAEm2OKvJ40Np+wOgQAAAAACCrHFHlut1uZmZmaNOnzFcuOn2RoDIDuBrGoMILAaX+fnvITAJzOadc+Jwqlv5FjiryehsO8WtNgYUQA7CYyMlKS1N7ebnEk6Evn36fz7xXqGK4JoC+dD+c+duyYxZGgP51/o86/mZ35vfBKKCnb2qjvTj3f6jAA2ERUVJTi4+N14MABRUdHKyLCMb9zOUZHR4cOHDig+Ph4RUU5OkUBgKTPftAaNmyYGhsbJUnx8fFyuVwWR4UvMgxDx44dU2Njo4YNGxYSP0I6OoNWfHzI6hAA2IjL5dLIkSNVW1ur3bt3Wx0OehEREaH09HT+IwdA2EhJSZEkb6EHexo2bJj3b2V3jinyWKIagC9iYmJ00UUXMWTTxmJiYhx1l5X8BKA/nT9CjhgxQidPnrQ6HPQgOjo6JO7gdXIZoTSD0AfNzc1KTExU2n2rFBEbr7rFM6wOCQBgks5rfFNTkxISEqwOxy9fzE97fn2z1eEAAExkt/zknJ9KAQAAAAAUeQAABNsJHvEDAAggxxR5vT2H6Hg7iRQAYJ2e8tOXf/m6hREBAJzOMUVeb88h+qjxqEURAQDQc35qPNpmYUQAAKdzTJHXm5WVe60OAQAAAACCxvFF3p827LE6BAAAAAAIGscXeQAAAAAQTijyAAAAAMBBHFPk9ba6JgAAViI/AQCCzTFFXm+rawIAYKXe8tORY+0WRQQAcDrHFHkAAISSV2sarA4BAOBQFHkAAFjggb+8Z3UIAACHCosir+nYSatDAAAAAICgCIsib+0H+60OAQAAAACCIiyKvAV/fd/qEAAAAAAgKMKiyAMAAACAcOGYIo/nEAEA7Kiv/HSwpc2CiAAATueYIo/n5AEA7Kiv/PR46VYLIgIAOJ1jijwAAELNX9/91OoQAAAOFDZFXkvbKatDAAAAAICAC5si74WNe6wOAQAAAAACLmyKvEeZ9wAAAAAgDIRNkQcAgB0ZhmF1CAAAh7Fdkbd3715NmzZNmZmZuvzyy7V69WqrQwIAIGBe395odQgAAIexXZEXFRWlpUuXqqamRq+88oruu+8+tba2Wh0WAAABceeKTVaHAABwmCirAzjdyJEjNXLkSElSSkqKkpKSdPjwYZ1xxhmDPnZL2ymdGWu7rwwAAAAApvH7Tl55eblmzpyp1NRUuVwurVmzplsbt9utjIwMxcXFKScnRxs3bhxQcFVVVfJ4PEpLSxvQ/qcr+NNmU44DAAAAAHbld5HX2tqqrKwsud3uHj9fuXKlCgsLtWjRIm3evFlZWVnKy8tTY+Pncw6ys7M1duzYbq99+/Z52xw+fFi33367nn322QF8rZ79c8cB044FAAAAAHbk99jF/Px85efn9/r5kiVLNG/ePM2dO1eSVFJSotLSUi1fvlxFRUWSpOrq6j77aGtr06xZs1RUVKSrrrqq37ZtbW3e983NzT5+EwAAAsef/NR+qkMxUbabJg8ACFGmZpT29nZVVVUpNzf38w4iIpSbm6uKigqfjmEYhu644w5dc801uu222/ptX1xcrMTERO/LrKGdAAAMhj/56e1dB4MYGQDA6Uwt8g4ePCiPx6Pk5OQu25OTk1VfX+/TMd566y2tXLlSa9asUXZ2trKzs/X+++/32n7BggVqamryvvbu3dvn8XkeEQAgGPzJT/OffzeIkQEAnM52S01effXV6ujo8Ll9bGysYmNj5Xa75Xa75fF4+my/9/BxpZ8dP9gwAQDokz/5qaXtVBAjAwA4nal38pKSkhQZGamGhoYu2xsaGpSSkmJmV90UFBSopqZGlZWVfbYr+ut7AY0DAIAv8jU/AQBgFlOLvJiYGE2YMEFlZWXebR0dHSorK9OUKVPM7GrA3t51yOoQAAAAACBg/B6u2dLSop07d3rf19bWqrq6WsOHD1d6eroKCws1Z84cTZw4UZMnT9bSpUvV2trqXW0zUHwdrgkAQDCRnwAAweYy/FyJZP369Zo+fXq37XPmzNGKFSskSU8//bSeeOIJ1dfXKzs7W0899ZRycnJMCbg/zc3Nn61idt8qRcT2PPeubvGMoMQCADBX5zW+qalJCQkJVofjl/7yE7kJAEKX3fKT33fypk2b1u8KlfPnz9f8+fMHHNRA8EspAMCOfM1Pnx45rnOHDQlSVAAAJ3PMk1dPn9h+/bjALvQCAIAvfF145UuL/6H/fuPjIEUFAHAyxxR5p5s9qfeHzn64rymIkQAA4JtHS7daHQIAwAEcU+S53W5lZmZq0qRJkqTstLN6bTvjqTd1c8nbwQoNABDGTs9PAAAEmmOKvNOHw0RGuPpsX1n3r2CEBQAIc/4+J8/T4dd6aAAAdOOYIm8gOkikAACb2XP4mNUhAABCXFgXeS9/WG91CAAAdPHc23VWhwAACHGOKfIGMufhnj9tDmBEAAB0z0/fvOLcPtuvoMgDAAySY4q8nuY83NhPIgUAINBOz08Pf2OsxREBAJzOMUVeT/7tyvOsDgEAAAAAgsrRRd7FyUOtDgEAAL9lFJVaHQIAIIQ5psjraU7eGbFRFkYEAMDAn5NXsetQgCICADidY4o8f59D1OmDT5sCFBEAAD3npyHRkf3ud8uydwIZFgDAwRxT5A3U//nNm3p+wx6rwwAAhJGS2yZYHQIAwMHCvsiTpAdffN/qEAAAYeRLF5xtdQgAAAdzfJG3IP8Sq0MAAKCLqEjf0u8pT0eAIwEAOJHji7xvThjlU7vqvUcCGwgAAH668KGXrA4BABCCHFPk9bZ6WdKZsT7tP8v9ViDCAgCEuYGurgkAwEA5psgb6OqaAAAEUm/5aWgcj/kBAASGY4o8M7zyYb3VIQAAwsRfvn+VT+021R0OcCQAAKehyPuCu/9YZXUIAIAwcXHKUJ/a3VRSoYyi0gBHAwBwkrAo8p67c7LVIQAAMCiGYVgdAgAgRIRFkXf1hUk+t+XXUgCAHS363w+tDgEAECLCosiLjHD51Z5CDwBgN3+o2G11CACAEBEWRR4AAAAAhAvHFHlmP4foX63tphwHABDe+spPAxlpcucKHhUEAOibY4o8s5+TN/PpN005DgAgvPWVn349O9vv4/1jW6MJUQEAnMwxRZ7ZPvnXcatDAAA43FcvTR7Qfqy0CQDoS9gUeT/OHeP3PnsOHQtAJAAAfGZITOSA9qv4+JDJkQAAnCRsirwfXnOh3/t8+YnXWWkTAGA7d/yeeXkAgN6FTZEX4efkdgAAgsH9nSv83qf9VIcyikoZtgkA6FHYFHmDsbPxqNUhAAAcasblI/U/d+UMaN/RC9aaHA0AwAlsV+QdOXJEEydOVHZ2tsaOHatly5aZduy6xTMGtF/uknLTYgAA4HRfuvBsq0MAADiI7Yq8oUOHqry8XNXV1dqwYYMef/xxHTpk3gTzgRZ6zM0DAASKyzXwKQXrt/NIBQBAV7Yr8iIjIxUfHy9Jamtrk2EYtplzkFFUykPSAQC2csfvK1Wzr9nqMAAANuJ3kVdeXq6ZM2cqNTVVLpdLa9as6dbG7XYrIyNDcXFxysnJ0caNG/3q48iRI8rKytKoUaP0wAMPKCkpyd8wA2b8I69aHQIAAF1c/9QbjDgBAHj5XeS1trYqKytLbre7x89XrlypwsJCLVq0SJs3b1ZWVpby8vLU2Pj5cJLO+Xanv/bt2ydJGjZsmLZs2aLa2lo9//zzamhoGODXCwxPhz3uLAIA8EV2GfkCALBWlL875OfnKz8/v9fPlyxZonnz5mnu3LmSpJKSEpWWlmr58uUqKiqSJFVXV/vUV3JysrKysvTGG2/opptu6rFNW1ub2travO+bmwM/ZOW/3/hY3/vKBQHvBwAQuqzITyvertPcL40OeD8AAHszdU5ee3u7qqqqlJub+3kHERHKzc1VRUWFT8doaGjQ0aOfPbKgqalJ5eXluvjii3ttX1xcrMTERO8rLS2t3z5+MG1wBVrxS9uUUVSqU56OQR0HAOBcA8lPg/Xw/6tR7cHWgPcDALA3U4u8gwcPyuPxKDk5ucv25ORk1dfX+3SM3bt3a+rUqcrKytLUqVP1wx/+UOPGjeu1/YIFC9TU1OR97d27t98+zLoLd+FDL5lyHACA8/ibn178wVWm9Dv9yfXMzwOAMOf3cM1Amzx5ss/DOSUpNjZWsbGxcrvdcrvd8ng8/e6TOCR6EBECANA/f/PT+PSzTO3fMIxBPZoBABC6TL2Tl5SUpMjIyG4LpTQ0NCglJcXMrropKChQTU2NKisrA9rP6fi1FADQF3/y00Cf5dqTFyr7H9kCAHAmU4u8mJgYTZgwQWVlZd5tHR0dKisr05QpU8zsatDMTKSb9/zLtGMBAMLbI9+4zJTjLPjr+2o71f/oFgCA8/hd5LW0tKi6uto7pLK2tlbV1dXas2ePJKmwsFDLli3Tc889p61bt+qee+5Ra2urd7XNQHG73crMzNSkSZN83mf9/dNM6fvG375tynEAAM7jb366Nec80/q++KfrlFFUyqMVACDMuAw/r/zr16/X9P9fe3cfH1V55///PbmbgJAERBKQhKCCiGCC3MR404qmxsjSUqu1llWkLlYaVmlWbVgr1HUx/IQHa9XZsrqL6LaK8tuKrcEbNt7gDfcQBcOdAsIKCQJNAgEDyVzfP3xkZExIZpIzOWdOXs/HYx7bOeeac33mwpzPfuac6zrjxjXbPnnyZC1evFiS9NRTT2nevHmqrKxUdna2nnjiCeXk5FgScFtqa2uVnJysmpoaJSUltdneytstt//r9fLGxVp2PABAsHDP8U4STuxWTwVISozTJ7/Lt/SYAIBvOS0/hX0l7+qrr5YxptmrqcCTpOnTp+uLL75QfX291qxZ0ykFXnuu5Fntwt++YVvfAABnckJ+qv26QefNLFVdfYNtMQAAOk/YV/KcLtwq+uDRrzV2Tlmb7cJl5Zw/AMA3nPZLaTjCif1vdSc18pEVEYmD/AQA1nNafrJ04ZVo1LdnYkSOy6qbAID26nVWQsSOfarRH7FjAwCcwTVFnhNuh/ku3zuf2R0CAMBmTstPgx98XZnFpao5ccruUAAAEdLlb9eUpNySMh2o+TpiMX1YfI3OTekWseMDQFfhtNthwhFu7K9vPqBpf9oY0Zi4dRMArOG0/OSaK3kd8cFvrono8a+Y+7be3X4won0AANylYES/iBdhXM0DAHeiyJMUG+PR9RenRbSPO55dF9HjAwAQrqyH31JmcakGzWQeOQC4iWuKvI7OeVh42yg9eetIi6MKVvs1v5gCQFfjtDl5LTFG8vtdNXsDALo05uR9R2esirn2wWsjtqonALiZ0+Y8hKO9sZd+ckCFL0R2bp4kZfTurpUPjIt4PwDgRk7LT665khdNIvFcPgCAO113cWqn9LP3yHFlFpfyCCAAcAGKPJsMfnC53SEAAKJAfGznp+qTDTxLDwCimWuKPKvmPEy5ItOagNpwqtFVd8kCAM7Aivz03v1X68oL+lgYVevmlFZ0Wl8AAOu5psgrLCxURUWF1q3r2CqW064+36KIAACwJj8NPPss/fEfciyMqnVfHavvtL4AANZzTZFnFRZEAQB0dX7u1gSAqEaR14Jtj1yvVwuvsDsMAABs4XfXwtsA0OVQ5LUgMT5WWekpdocBAECQD4uv6ZR+KPEAILpR5LVi9cxr7Q4BAICAc1O66X+Lvq/l91wV0X64kAcA0c01RZ5Vq2ueLi05UZ8+nG/Z8QAAXY/V+emCvj00rH9kH7RrqPIAIKq5psizanXN7zrLG6enfj7S0mMCALqOSOWnSGJOHgBEN9cUeZH0d5f0165Hb7A7DAAAAlb8+nsRO7afGg8AohpFXohiYjx2hwAAQMDg1J4ROzZX8gAgulHkAQAQpW4eNcDuEAAADkSRF4a/Tr/S7hAAAAiYd3OW9swdb/lxuZAHANGNIi8MIwYka9ejN+iRicPtDgUAgIBtj1xv6fG4XRMAohtFXphiYjy67bKBdocBAEBAYnyspT9AUuQBQHRzTZEXiefktWYLz88DAISgs/LTbZcNtOzWTWo8AIhurinyOvs5RD28cZ3SDwAgunV2fkrpHt/hY1DkAUB0c02RZ4fdJTw7DwDgLJse+kGHj2FElQcA0YwirwM8Hg+FHgDAUTwejz59OF83deDxClzJA4DoRpHXQR6PR5/NKbA7DAAAAs7yxmn+zVn6w6RL2/V5Fl4BgOhGkWeBuNgYld7DM/QAAM5SMKJfuz5HiQcA0Y0izyIX90/Wnrnj9SmrbgIAohwX8gAgujm2yDt+/LgGDhyo++67z+5QwnKWN07P3tE5j3EAAKAte+aOD/vRCtR4ABDdHFvkzZkzR5dddpndYbTLuKF97Q4BAIAgS+/ODbmt4VIeAEQ1RxZ5O3fu1LZt21RQEL0LmuyZO16bf3edzj4rwe5QAADQmMzeKhx3vi5M7dlmW2o8AIhuYRd5K1eu1IQJE9S/f395PB4tW7asWRufz6fMzEwlJiYqJydHa9euDauP++67TyUlJeGG5jg9E+O1wYLnFQEAYIX784fqzV9/r812rK4JANEt7CKvrq5OWVlZ8vl8Le5/6aWXVFRUpNmzZ2vjxo3KyspSfn6+Dh48GGiTnZ2t4cOHN3vt379fr776qoYMGaIhQ4a0/1sBAIAz2tLGImF+ajwAiGpx4X6goKCg1dsoFyxYoKlTp2rKlCmSpIULF6q0tFSLFi1ScXGxJKm8vPyMn1+9erWWLFmipUuX6tixYzp16pSSkpI0a9ascEN1jPcfGKerHnvH7jAAAJAk9fDG6eNZ12lrZa1+9vTqZvuZkwcA0c3SOXknT57Uhg0blJeX920HMTHKy8vTqlWrQjpGSUmJ9u3bpz179mj+/PmaOnVqqwVefX29amtrg15Ok967u7b/6/X6eNZ1docCAOgkTs9Pyd3jddl5Z2vVzGua7bt+eJoNEQEArGJpkXfo0CE1NjYqNTU1aHtqaqoqKyut7CqgpKREycnJgVd6enpE+ukob1yskrvHa9EdoyVJeReltvEJAEA0i5b81C+5m36ekyFJuuKCs9UtPlY3jhxgc1QAgI7wmA7ck+HxePTKK69o4sSJkqT9+/fr3HPP1UcffaTc3G+Xan7ggQf03nvvac2aNR0O+Lvq6+tVX18feF9bW6v09HTV1NQoKSnJ8v4AAPapra1VcnJyVJzjyU8A0HU4LT+FPSevNX369FFsbKyqqqqCtldVVSktLTK3fni9Xnm9Xvl8Pvl8PjU2NkakHwAAwkF+AgDYxdLbNRMSEjRq1CiVlZUFtvn9fpWVlQVd2YuEwsJCVVRUaN26dRHtBwCAcJCfAACdLewreceOHdNnn30WeL97926Vl5erd+/eysjIUFFRkSZPnqzRo0dr7Nixevzxx1VXVxdYbTNS+KUUAOBE5CcAQGcLe07eu+++q3HjxjXbPnnyZC1evFiS9NRTT2nevHmqrKxUdna2nnjiCeXk5FgScFucdj8sAMA60XyOj+bYAQCtc9o5vkMLrzjJ6b+U7tixwzEDDACwjtOSaCjITwDgfk7LT64p8po4bYABANaJ5nN8NMcOAGid087xli68AgAAAACwF0UeAAAAALiIa4o8n8+nYcOGacyYMXaHAgBAAPkJANDZmJMHAIga0XyOj+bYAQCtc9o53jVX8gAAAAAALiryuB0GAOBE5CcAQGfjdk0AQNSI5nN8NMcOAGid087xrrmSBwAAAACgyAMAAAAAV3FNkcecBwCAE5GfAACdzXVz8mpqapSSkqJ9+/Y54n5YAIB1amtrlZ6erurqaiUnJ9sdTljITwDgXk7LT3F2B2C1w4cPS5LS09NtjgQAECmHDx92RBINB/kJANzPKfnJdUVe7969JUl79+51xAA7XdOvDvyy3DbGKjyMV+gYq9DV1NQoIyMjcK6PJuSn0PE3ETrGKjyMV+gYq/A4LT+5rsiLiflmmmFycjL/QYYhKSmJ8QoRYxUexit0jFXoms710YT8FD7+JkLHWIWH8QodYxUep+QnZ0QBAAAAALAERR4AAAAAuIjrijyv16vZs2fL6/XaHUpUYLxCx1iFh/EKHWMVumgeq2iOvbMxVqFjrMLDeIWOsQqP08bLdY9QAAAAAICuzHVX8gAAAACgK6PIAwAAAAAXocgDAAAAABehyAMAAAAAF6HIAwAAAAAXocgDAAAAABehyAMAAAAAF6HIAwAAAAAXocgDAAAAABehyAMAAAAAF6HIAwAAAAAXibM7AKv5/X7t379fPXv2lMfjsTscAICFjDE6evSo+vfvr5iY6PqdkvwEAO7ltPzkuiJv//79Sk9PtzsMAEAE7du3TwMGDLA7jLCQnwDA/ZySn1xX5PXs2VPSNwOclJRkczQAACvV1tYqPT09cK6PJuQnAHAvp+Un1xV5TbfAJCUlkUQBwKWi8XZH8hMAuJ9T8pP9N4wCAAAAACxDkQcAAAAALkKRBwAAAAAu4po5eT6fTz6fT42NjXaHAsDhGhsbderUKbvDwBkkJCQ4Yvlpq5CfAISK/ORc8fHxio2NtTuMkHmMMcbuIKxUW1ur5ORk1dTUMLEdQBBjjCorK1VdXW13KGhFTEyMBg0apISEhGb7ovkcH82xA4gs8lN0SElJUVpaWouLqzjtHO+aK3kA0JamBNq3b191797dMStg4VtNDww/cOCAMjIy+DcC0CWQn5zNGKPjx4/r4MGDkqR+/frZHFHbKPIAdAmNjY2BBHr22WfbHQ5acc4552j//v1qaGhQfHy83eEAQESRn6JDt27dJEkHDx5U3759HX/rpnsmPQBAK5rmOHTv3t3mSNCWpts0mcMGoCsgP0WPpn+jaJg3SZEHoEvhFhjn498IQFfEuc/5ounfiCIPAAAAAFyEIg8AAAAAXMSRRd6Pf/xj9erVSzfddJPdoQCAY/h8PmVmZioxMVE5OTlau3Ztq+2XLl2qoUOHKjExUSNGjNDy5cuD9htjNGvWLPXr10/dunVTXl6edu7cGdTmyJEjmjRpkpKSkpSSkqI777xTx44da3ac+fPna8iQIfJ6vTr33HM1Z86cFmP68MMPFRcXp+zs7PAHAADgOOQmZ3JkkXfvvffq+eef79AxPvzskEXRAID9XnrpJRUVFWn27NnauHGjsrKylJ+fH1jO+bs++ugj3Xrrrbrzzju1adMmTZw4URMnTtSWLVsCbR577DE98cQTWrhwodasWaOzzjpL+fn5+vrrrwNtJk2apE8//VQrVqzQa6+9ppUrV+quu+4K6uvee+/Vf/7nf2r+/Pnatm2b/vKXv2js2LHNYqqurtbtt9+ua6+91qJRiU5fn2JBGQDuQG5yMONQ77zzjvnJT34S9udqamqMJFO64fMIRAUgWp04ccJUVFSYEydO2B1Ku4wdO9YUFhYG3jc2Npr+/fubkpKSFtv/9Kc/NePHjw/alpOTY375y18aY4zx+/0mLS3NzJs3L7C/urraeL1e8+KLLxpjjKmoqDCSzLp16wJtXn/9dePxeMyXX34ZaBMXF2e2bdvW5ne45ZZbzG9/+1sze/Zsk5WVdcZ2rf1bNZ3ja2pq2uzPaZpi/2TXfrtDAeAg0ZyfulJuMia68lPYV/JWrlypCRMmqH///vJ4PFq2bFmzNuFetgUAOxhjdPxkgy0vY0zIcZ48eVIbNmxQXl5eYFtMTIzy8vK0atWqFj+zatWqoPaSlJ+fH2i/e/duVVZWBrVJTk5WTk5OoM2qVauUkpKi0aNHB9rk5eUpJiZGa9askST99a9/1XnnnafXXntNgwYNUmZmpv7hH/5BR44cCer72Wef1a5duzR79uyQv7dbNfj9docAwMHITeQmK4T9MPS6ujplZWXpF7/4hW688cZm+5su2y5cuFA5OTl6/PHHlZ+fr+3bt6tv376SpOzsbDU0NDT77FtvvaX+/fu342sAQPhOnGrUsFlv2tJ3xb/kq3tCaKfgQ4cOqbGxUampqUHbU1NTtW3bthY/U1lZ2WL7ysrKwP6mba21aTpvN4mLi1Pv3r0DbXbt2qUvvvhCS5cu1fPPP6/Gxkb9+te/1k033aS3335bkrRz504VFxfr/fffV1xc2GnHdcL4/6EAdEHkJnKTFcL+RgUFBSooKDjj/gULFmjq1KmaMmWKJGnhwoUqLS3VokWLVFxcLEkqLy9vX7QtqK+vV319feB9bW2tJMlPFgWAiPP7/aqvr9fzzz+vIUOGSJL+67/+S6NGjdL27dt1wQUX6Oc//7kefvjhwP6u4kz5qdFPfgKASCI3taPIa03TZduZM2cGtrV12bajSkpK9PDDDzfb/qs/btTfjTo/In0CcIdu8bGq+Jd82/oOVZ8+fRQbG6uqqqqg7VVVVUpLS2vxM2lpaa22b/q/VVVV6tevX1CbptXF0tLSmk2eb2ho0JEjRwKf79evn+Li4oKS5EUXXSRJ2rt3r1JTU7V+/Xpt2rRJ06dPl/RN8jXGKC4uTm+99ZauueaakMcimpwpP72/85DGDBlgQ0QAogG5idxkBUtX12ztsm3T5dNQ5OXl6eabb9by5cs1YMCAVgvEmTNnqqamJvDat29fu+MH0LV4PB51T4iz5eXxeEKOMyEhQaNGjVJZWVlgm9/vV1lZmXJzc1v8TG5ublB7SVqxYkWg/aBBg5SWlhbUpra2VmvWrAm0yc3NVXV1tTZs2BBo8/bbb8vv9ysnJ0eSdMUVV6ihoUGff/55oM2OHTskSQMHDlRSUpI2b96s8vLywOvuu+/WhRdeqPLy8sBx3OhM+el4PatrAjgzchO5yRIdWbVFknnllVcC77/88ksjyXz00UdB7e6//34zduzYjnTVpqeeespcdNFFZsiQIUaSSZ/xckT7AxBdonn1MmOMWbJkifF6vWbx4sWmoqLC3HXXXSYlJcVUVlYaY4y57bbbTHFxcaD9hx9+aOLi4sz8+fPN1q1bzezZs018fLzZvHlzoM3cuXNNSkqKefXVV80nn3xifvSjH5lBgwYFjdH1119vRo4cadasWWM++OADM3jwYHPrrbcG9jc2NppLL73UfO973zMbN24069evNzk5OeYHP/jBGb9LV1td87v56eH/f13bHwLQZURzfupKucmY6MpPlhZ59fX1JjY2NmibMcbcfvvt5oc//GFHugpZ0wBT5AE4XTQn0SZPPvmkycjIMAkJCWbs2LFm9erVgX3f//73zeTJk4Pav/zyy2bIkCEmISHBXHzxxaa0tDRov9/vNw899JBJTU01Xq/XXHvttWb79u1BbQ4fPmxuvfVW06NHD5OUlGSmTJlijh49GtTmyy+/NDfeeKPp0aOHSU1NNXfccYc5fPjwGb9HVyvymjTFXvzi6rYbA+gyoj0/dZXcZEx05SePMe1focTj8eiVV17RxIkTA9tycnI0duxYPfnkk5K+uWybkZGh6dOnBxZeiQSfzyefz6fGxkbt2LFD6TNe1t5/uzli/QGILl9//bV2796tQYMGKTEx0e5w0IrW/q1qa2uVnJysmpoaJSUl2RRheMhPAFpDfooe0ZSfwp6Td+zYscC9q9I3z7MoLy/X3r17JUlFRUV65pln9Nxzz2nr1q2aNm2a6urqAqttRkphYaEqKiq0bt26iPYDAEA4yE8AgM4W9uqa69ev17hx4wLvi4qKJEmTJ0/W4sWLdcstt+irr77SrFmzVFlZqezsbL3xxhvNFmMBAAAAAFgv7CLv6quvVlt3eE6fPj2wHGlnOf12GAAAnIL8BADobJY+QsFO3A4DAHAi8hMAoLO5pshryYGaE3aHAAAAAACdyjVFns/n07BhwzRmzJjAtsPHTtoYEQAn8vv9doeANnRg0WdHaik/AcB3kZ+cL5r+jcKek+dUhYWFKiwsDCxfKkmlmw9o+LnJNkcGwAkSEhIUExOj/fv365xzzlFCQoI8Ho/dYeE7jDH66quv5PF4FB8fb3c4lmgpPwFAE/KT8xljdPLkSX311VeKiYlRQkKC3SG1yTVFXkue+2iPfnP9ULvDAOAAMTExGjRokA4cOKD9+/fbHQ5a4fF4NGDAAMXGxtodCgBEHPkpenTv3l0ZGRmKiXH+zZCuKfJaWr3s+ElWMgPwrYSEBGVkZKihoYGVDh0sPj7eVQUeq2sCaAv5yfliY2MVFxcXNVdZPcZlkx+abodJn/GyYrzdtWfueLtDAgBYpOkcX1NTo6SkJLvDCcvp+Wnvv91sdzgAAAs5LT85/1ojAAAAACBkFHkAAAAA4CIUeQAAdLIPPztkdwgAABdzTZF3pucQ1Zw4ZVNEAAC0nJ8m/ecaGyMCALida4q8wsJCVVRUaN26dUHb1+4+YlNEAACcOT8BABAprinyzuTPG//P7hAAAAAAoNO4vsh7fUul3SEAAAAAQKdxfZEHAAAAAF2Ja4q8My28AgCAnchPAIDO5poij4ntAAAnOlN+amj02xQRAMDtXFPkAQAQTbbsr7U7BACAS1HkAQBgg0eXb7U7BACAS1HkAQBgA57jCgCIlC5R5B06Vm93CAAAAADQKbpEkffCmr12hwAAAAAAnaJLFHkLVuywOwQAAAAA6BSuKfJ4DhEAwIlay09+v7EhIgCA27mmyOM5eQAAJ2otP334+SEbIgIAuJ1rijwAAKLNr/600e4QAAAuRJEHAIBNjn7dYHcIAAAX6jJF3v7qE3aHAAAAAAAR12WKvDnLt9odAgAAAABEXJcp8ko/OWB3CAAAAAAQcV2myAMAwIlqTpyyOwQAgMs4rsjbt2+frr76ag0bNkyXXHKJli5dandIAABEzCsb/8/uEAAALuO4Ii8uLk6PP/64Kioq9NZbb2nGjBmqq6uzOywAACLid3+tsDsEAIDLxNkdwHf169dP/fr1kySlpaWpT58+OnLkiM4666wOH/tvdSfV66yEDh8HAAAAAJwq7Ct5K1eu1IQJE9S/f395PB4tW7asWRufz6fMzEwlJiYqJydHa9eubVdwGzZsUGNjo9LT09v1+e8qfIGHzgIAAABwt7CLvLq6OmVlZcnn87W4/6WXXlJRUZFmz56tjRs3KisrS/n5+Tp48GCgTXZ2toYPH97stX///kCbI0eO6Pbbb9fTTz/djq/Vso8+P2zZsQAAAADAicK+XbOgoEAFBQVn3L9gwQJNnTpVU6ZMkSQtXLhQpaWlWrRokYqLiyVJ5eXlrfZRX1+viRMnqri4WJdffnmbbevr6wPva2trQ/wmAABETjj5qebEKSV3i++MsAAAXYClC6+cPHlSGzZsUF5e3rcdxMQoLy9Pq1atCukYxhjdcccduuaaa3Tbbbe12b6kpETJycmBl1W3dgIA0BHh5Kf/XrWn8wIDALiepUXeoUOH1NjYqNTU1KDtqampqqysDOkYH374oV566SUtW7ZM2dnZys7O1ubNm8/YfubMmaqpqQm89u3b1+rxjTEhxQEAQEeEk5/mv7WjEyMDALid41bXvPLKK+X3+0Nu7/V65fV65fP55PP51NjY2Gr78n3VGpnRq6NhAgDQqnDzEwAAVrH0Sl6fPn0UGxurqqqqoO1VVVVKS0uzsqtmCgsLVVFRoXXr1rXa7jf/80lE4wAA4HSh5icAAKxiaZGXkJCgUaNGqaysLLDN7/errKxMubm5VnbVjM/n07BhwzRmzJhW2+2oOhbROAAAOF2o+QkAAKuEXeQdO3ZM5eXlgRUyd+/erfLycu3du1eSVFRUpGeeeUbPPfectm7dqmnTpqmuri6w2mak8EspAMCJyE8AgM4W9py89evXa9y4cYH3RUVFkqTJkydr8eLFuuWWW/TVV19p1qxZqqysVHZ2tt54441mi7EAAIBvnWr0Kz7W0htsAABdVNhF3tVXX93mCpXTp0/X9OnT2x1UezCxHQDgRKHmp+kvbNR/3Da6k6ICALiZx7jsmQK1tbVKTk7WxH9boU2V9S222TN3fCdHBQCwQtM5vqamRklJSXaHE5am2NNnvKwYb/cztiNHAUD0cVp+cu19IYVXX3DGfZnFpWpoDP0xDQAAAAAQLVxT5H139bKsjORW21/w4OudERYAoItjdU0AQGdzTZH33dXLvHGxNkcEAED4q2t+fYq55QCAjnFNkdcefr+rpiMCAFxg4xd/szsEAECU69JF3gefHbI7BAAAgjzx9k67QwAARDnXFHntmfNw+6K1EYwIAIDm+Snz7DOvrClJq3cd6YywAAAu5poiL9w5DwAAdIbv5qfX7rnK5ogAAG7nmiKvJUvvzrU7BAAAAADoVK4u8i7N6GV3CAAAhC2zuFTGsDgYAKB9XFPktTQnLzbGY2NEAAC0/zl5//jipghFBABwO9cUeWeakzewjQnumcWlkQwLANDFtZSfrrygT5ufe+2TA5EMCwDgYq4p8s4kvVfrRZ5EoQcA6FyzJwyzOwQAgIu5vsjr0yPB7hAAAAgyOLWn3SEAAFzM9UXeg+P5tRQAEJ32HTludwgAgCjk+iLvnJ7ekNqt2XU4wpEAABCeqx57x+4QAABRyDVFXntXL2tyy9OrLY4IAICO5ycAAMLlmiLvTKtrhqPRzzOJAADWOlN+unVsekif95ObAABhck2RZ4Vf/vd6u0MAAHQRD+QPDandef+8XDuqjkY4GgCAm1DkneZ/tx60OwQAQBfR66zQV3++7t9WRjASAIDbdIkib8ldl9kdAgAAHVJ9/KTdIQAAokSXKPLGZPYOuW1mcalONvgjGA0AAOHL/pcVdocAAIgSXaLIi43xhNV+yG9fj1AkAAAAABBZXaLIAwDADf7y8X67QwAARAHXFHlWP4eosuZrS44DAOjaWstPeRelhnWse17cpMziUqtCAwC4lGuKPCuek3e6nz29ypLjAAC6ttby069/MNiGiAAAbueaIs9qew4ftzsEAIDLDeuX1K7PHT/ZYHEkAAA36TJF3u9/lh32ZzKLS3XwKLdtAgAiw+MJb2GwJs+v+sLiSAAAbtJlirwfZvVv1+fGzimzOBIAADpm7uvb7A4BAOBgXabIa++vpQAARNLukhva9bnM4lLtPlRncTQAADfoMkWeJKV0j2/X5/5Wd9LiSAAA+IbH49HaB69t12fHzX/X2mAAAK7guCKvurpao0ePVnZ2toYPH65nnnnGsmOXz7pOGx/6QdifG/nICr20bq9lcQAAcLq+PRPb/Vm/31gYCQDADRxX5PXs2VMrV65UeXm51qxZo0cffVSHDx+27PjJ3dp3Ne83/7PZshgAALDKHYuteXQQAMA9HFfkxcbGqnv37pKk+vp6GWNkjHW/UsbGtH9uXmZxqaWxAADQUSt3fKXM4lKt3mXdD6IAgOgWdpG3cuVKTZgwQf3795fH49GyZcuatfH5fMrMzFRiYqJycnK0du3asPqorq5WVlaWBgwYoPvvv199+vQJN8yIGTRzud0hAADQzM+eXm13CAAAhwi7yKurq1NWVpZ8Pl+L+1966SUVFRVp9uzZ2rhxo7KyspSfn6+DBw8G2jTNt/vua//+/ZKklJQUffzxx9q9e7deeOEFVVVVtfPrRcbJBr/dIQAA0Ez1cRYKAwBIceF+oKCgQAUFBWfcv2DBAk2dOlVTpkyRJC1cuFClpaVatGiRiouLJUnl5eUh9ZWamqqsrCy9//77uummm1psU19fr/r6+sD72traEL9J+w357eu64/JM/e6HF0e8LwBAdLIjP/3dkx/og99cE/F+AADOZumcvJMnT2rDhg3Ky8v7toOYGOXl5WnVqlUhHaOqqkpHjx6VJNXU1GjlypW68MILz9i+pKREycnJgVd6enqbfSz4aVZIsbRm8Ud7VFff0OHjAADcKdz8lH9xaof7/L+/ndCwWW/w6B8A6OIsLfIOHTqkxsZGpaYGJ6rU1FRVVlaGdIwvvvhCV111lbKysnTVVVfpH//xHzVixIgztp85c6ZqamoCr3379rXZR96wjidSSbp49puWHAcA4D7h5qcFP822pN/jJxs18pEVlhwLABCdwr5dM9LGjh0b8u2ckuT1euX1euXz+eTz+dTY2NjmZ5IS2/cYBQAAQhVufjrLG6eH/m6YHnmtwpL+j359Sj3JdwDQJVl6Ja9Pnz6KjY1ttlBKVVWV0tLSrOyqmcLCQlVUVGjdutCeF5R73tmW9JtZXGrJcQAA7hROfrrzykGW9Ttu/nuWHQsAEF0sLfISEhI0atQolZWVBbb5/X6VlZUpNzfXyq467MW7LtN555xlybEo9AAAVllWeIUlxzl0rF6ZxaX6YOchS44HAIgeYRd5x44dU3l5eeCWyt27d6u8vFx79+6VJBUVFemZZ57Rc889p61bt2ratGmqq6sLrLYZKT6fT8OGDdOYMWNC/swr06xJpJJ4SDoAoEXh5qfs9BRL+//7/1qjQ8fq224IAHANjwmzOnn33Xc1bty4ZtsnT56sxYsXS5KeeuopzZs3T5WVlcrOztYTTzyhnJwcSwJuS21trZKTk1VTU6OkpKQ221t5FW7P3PGWHQsA0Fy453gnCSf2SNwhQo4CgMhxWn4Ku8hzqtMntu/YscOWIq/J9n+9Xt64WMuPCwBdndOSaCjak59eXLtXM/+82fJY5t44Qj8bm2H5cQGgq3NafnJNkdck3AE+1ejX4AdftzwOfjEFAOs5LYmGI5zYG/1G5//z8ojEQX4CAOs5LT9ZuvBKNIqPjcwQZBaXMk8PANAusTGeiB17W2VtxI4NAHAG1xR57Vl4JdIGzYzMr7AAgOjhtPx0/ePvK7O4VAve2m53KACACOnyt2tK0vQXNuq1Tw5ELKZ37rtag/pY87gGAOjKnHY7TDjaM53gkt+9pROnWn+Iekdw6yYAWMNp+ck1V/I64t9uyY7o8cfNf1czlmyKaB8AAHeJj43R1keuj2gfb31aGdHjAwDsQZGnbxLp54/eENE+lpXvj+jxAQAI113/vUGZxaURWWkaAGAf1xR5HZ3zEBvj0f9My7U4qmD3Lf04oscHADhPR/NT1oBkiyNq2Z5DdZ3SDwAg8piT9x2d8WvmK7+6XCMzekW8HwBwG6fNeQhHe2P/7OAx5S14L4KRfev+/Av1q6vPl8cTudU9AcCNnJafXHMlL5r8+N8/4vEKAICQXNC3R6f1Ne/N7awMDQAuQJFnE5IoAMCp1u05YncIAIAOcE2RZ9VziKZdfb5FEQEAYE1+2jN3fKc+7mDq8+s7rS8AgPVcU+QVFhaqoqJC69at69BxfkWRBwCwkFX5qTM1+plSAADRzDVFnlV6JsbbHQIAALZi2jgARDeKvBZ09m0xAACEIis9pVP68VPlAUBUo8gDACBKLPvV5Z3SD0UeAEQ3irxWfPK76+wOAQCAAI/H0yl3mzAlDwCim2uKPKtW1zxdUmI8t20CADokEvkp4ijyACCquabIi+TqZf8zrXNujwEAuE+k8tP4S/pZerzTcbsmAEQ31xR5kTRqYC/tLrnB7jAAAAhY8NOsiB2bIg8AohtFXog8Ho/dIQAAEOCNi43YsZmTBwDRjSIPAIAotXNOgYp+MMTuMAAADkORF4Zdj3LLJgDAOeJjY3TPtYN1z7WD7Q4FAOAgFHlhiIn5Zunqv0y/wu5QAAAI4GoeAOB0FHntcMmAFLtDAAAgyJ6547njBAAgyUVFXmc/h+h/i77XKf0AAKJbZ+anmBgWCQMAuKjIi+Rz8lpyQd+eKr3nyk7pCwAQvTo7P/3xzpxO6QcA4FyuKfLscHH/ZH1vyDl2hwEAQMCVg/vYHQIAwGYUeR20+I7OuT0UAIBQ7Zk7Xnvmjpc3jjQPAF0RZ/8OionxaHcJE90BAM6z9sE8u0MAANiAIs8CHs83j1ao+Jd8u0MBACAguVu83SEAAGxAkWeh7glx2vy76+wOAwCAgN//LNvuEAAAncyxRd7x48c1cOBA3XfffXaHEpaeifHa8jBX9AAAzvCj7HO1Z+54u8MAAHQixxZ5c+bM0WWXXWZ3GO3SwxunN2ZcZXcYAAAE7JxTYHcIAIBO4sgib+fOndq2bZsKCqI3IQ1NS9KeueP1iysG2R0KAACKj43RnrnjtetRFgsDALcLu8hbuXKlJkyYoP79+8vj8WjZsmXN2vh8PmVmZioxMVE5OTlau3ZtWH3cd999KikpCTc0R5o1YZjdIQAAEBAT49H4S/rZHQYAIILCLvLq6uqUlZUln8/X4v6XXnpJRUVFmj17tjZu3KisrCzl5+fr4MGDgTbZ2dkaPnx4s9f+/fv16quvasiQIRoyZEj7v5XDjBrYy+4QAAAI8P38UrtDAABEUFy4HygoKGj1NsoFCxZo6tSpmjJliiRp4cKFKi0t1aJFi1RcXCxJKi8vP+PnV69erSVLlmjp0qU6duyYTp06paSkJM2aNavF9vX19aqvrw+8r62tDfcrRdzSX+bqvH9ebncYAIBO5PT81LQYS8Hv39fWA86KDQDQMZbOyTt58qQ2bNigvLxvH74aExOjvLw8rVq1KqRjlJSUaN++fdqzZ4/mz5+vqVOnnrHAa2qfnJwceKWnp3f4e1gtJuab5+ixuhkAdB3RkJ8k6fV7my8Udn/+hTZEAgCwSthX8lpz6NAhNTY2KjU1NWh7amqqtm3bZmVXATNnzlRRUVHgfW1trWMTqSSt+edr9f+9vk3fv/Acu0MBAERQNOWn3SU3qPr4Ka3/4m/afeiYbhjBnD0AiGaWFnlWu+OOO9ps4/V65fV65fP55PP51NjYGPnAOiA1KVELbsm2OwwAQIRFU37yeDzqdVaCfjAsVVJqm+0BAM5m6e2affr0UWxsrKqqqoK2V1VVKS0tzcqumiksLFRFRYXWrVsX0X4AAAgH+QkA0NksLfISEhI0atQolZWVBbb5/X6VlZUpNzfXyq4AAAAAAC0I+3bNY8eO6bPPPgu83717t8rLy9W7d29lZGSoqKhIkydP1ujRozV27Fg9/vjjqqurC6y2GSnRcDsMAKDrIT8BADqbxxhjwvnAu+++q3HjxjXbPnnyZC1evFiS9NRTT2nevHmqrKxUdna2nnjiCeXk5FgScFtqa2uVnJysmpoaJSUldUqfAIDOEc3n+GiOHQDQOqed48Mu8pzq9F9Kd+zY4ZgBBgBYx2lJNBTkJwBwP6flJ9cUeU2cNsAAAOtE8zk+mmMHALTOaed4SxdeAQAAAADYyzVFns/n07BhwzRmzBi7QwEAIID8BADobNyuCQCIGtF8jo/m2AEArXPaOd41V/IAAAAAABR5AAAAAOAqrinymPMAAHAi8hMAoLMxJw8AEDWi+RwfzbEDAFrntHO8a67kAQAAAAAo8gAAAADAVeLsDsAqPp9PPp9PDQ0Nkr65ZAoAcJemc3s0zTQgPwGA+zktP7luTt6uXbt0/vnn2x0GACCCPv/8c5133nl2hxEW8hMAuJ9T8pNrruQ16d27tyRp7969Sk5Otjka56utrVV6err27dvniEmiTsZYhYfxCh1jFbqamhplZGQEzvXRhPwUOv4mQsdYhYfxCh1jFR6n5SfXFXkxMd9MM0xOTuY/yDAkJSUxXiFirMLDeIWOsQpd07k+mpCfwsffROgYq/AwXqFjrMLjlPzkjCgAAAAAAJagyAMAAAAAF3Fdkef1ejV79mx5vV67Q4kKjFfoGKvwMF6hY6xCF81jFc2xdzbGKnSMVXgYr9AxVuFx2ni5bnVNAAAAAOjKXHclDwAAAAC6Moo8AAAAAHARijwAAAAAcBGKPAAAAABwEdcVeT6fT5mZmUpMTFROTo7Wrl1rd0iWKikp0ZgxY9SzZ0/17dtXEydO1Pbt24PafP311yosLNTZZ5+tHj166Cc/+YmqqqqC2uzdu1fjx49X9+7d1bdvX91///1qaGgIavPuu+/q0ksvldfr1QUXXKDFixc3iyeaxnvu3LnyeDyaMWNGYBtjFezLL7/U3//93+vss89Wt27dNGLECK1fvz6w3xijWbNmqV+/furWrZvy8vK0c+fOoGMcOXJEkyZNUlJSklJSUnTnnXfq2LFjQW0++eQTXXXVVUpMTFR6eroee+yxZrEsXbpUQ4cOVWJiokaMGKHly5dH5ku3Q2Njox566CENGjRI3bp10/nnn69HHnlEp69j1ZXHauXKlZowYYL69+8vj8ejZcuWBe130tiEEosVouHvvyPITe1HbmobuSk05KbWdbncZFxkyZIlJiEhwSxatMh8+umnZurUqSYlJcVUVVXZHZpl8vPzzbPPPmu2bNliysvLzQ033GAyMjLMsWPHAm3uvvtuk56ebsrKysz69evNZZddZi6//PLA/oaGBjN8+HCTl5dnNm3aZJYvX2769OljZs6cGWiza9cu0717d1NUVGQqKirMk08+aWJjY80bb7wRaBNN47127VqTmZlpLrnkEnPvvfcGtjNW3zpy5IgZOHCgueOOO8yaNWvMrl27zJtvvmk+++yzQJu5c+ea5ORks2zZMvPxxx+bH/7wh2bQoEHmxIkTgTbXX3+9ycrKMqtXrzbvv/++ueCCC8ytt94a2F9TU2NSU1PNpEmTzJYtW8yLL75ounXrZv7jP/4j0ObDDz80sbGx5rHHHjMVFRXmt7/9rYmPjzebN2/unMFow5w5c8zZZ59tXnvtNbN7926zdOlS06NHD/P73/8+0KYrj9Xy5cvNgw8+aP785z8bSeaVV14J2u+ksQkllo6Khr//jiI3tQ+5qW3kptCRm1rX1XKTq4q8sWPHmsLCwsD7xsZG079/f1NSUmJjVJF18OBBI8m89957xhhjqqurTXx8vFm6dGmgzdatW40ks2rVKmPMN/+Rx8TEmMrKykCbP/zhDyYpKcnU19cbY4x54IEHzMUXXxzU1y233GLy8/MD76NlvI8ePWoGDx5sVqxYYb7//e8HEiljFew3v/mNufLKK8+43+/3m7S0NDNv3rzAturqauP1es2LL75ojDGmoqLCSDLr1q0LtHn99deNx+MxX375pTHGmH//9383vXr1CoxfU98XXnhh4P1Pf/pTM378+KD+c3JyzC9/+cuOfUmLjB8/3vziF78I2nbjjTeaSZMmGWMYq9N9N5E6aWxCicUK0fD3bzVyU9vITaEhN4WO3BS6rpCbXHO75smTJ7Vhwwbl5eUFtsXExCgvL0+rVq2yMbLIqqmpkST17t1bkrRhwwadOnUqaByGDh2qjIyMwDisWrVKI0aMUGpqaqBNfn6+amtr9emnnwbanH6MpjZNx4im8S4sLNT48eObfR/GKthf/vIXjR49WjfffLP69u2rkSNH6plnngns3717tyorK4O+R3JysnJycoLGKyUlRaNHjw60ycvLU0xMjNasWRNo873vfU8JCQmBNvn5+dq+fbv+9re/Bdq0NqZ2u/zyy1VWVqYdO3ZIkj7++GN98MEHKigokMRYtcZJYxNKLB0VLX//ViM3tY3cFBpyU+jITe3npLGxKje5psg7dOiQGhsbg054kpSamqrKykqbooosv9+vGTNm6IorrtDw4cMlSZWVlUpISFBKSkpQ29PHobKyssVxatrXWpva2lqdOHEiasZ7yZIl2rhxo0pKSprtY6yC7dq1S3/4wx80ePBgvfnmm5o2bZruuecePffcc5K+/b6tfY/Kykr17ds3aH9cXJx69+5tyZg6ZbyKi4v1s5/9TEOHDlV8fLxGjhypGTNmaNKkSZIYq9Y4aWxCiaWjouXv30rkpraRm0JHbgoduan9nDQ2VuWmuJBbwnEKCwu1ZcsWffDBB3aH4kj79u3TvffeqxUrVigxMdHucBzP7/dr9OjRevTRRyVJI0eO1JYtW7Rw4UJNnjzZ5uic5eWXX9af/vQnvfDCC7r44otVXl6uGTNmqH///owVujxyU+vITeEhN4WO3ITTueZKXp8+fRQbG9ts9amqqiqlpaXZFFXkTJ8+Xa+99preeecdDRgwILA9LS1NJ0+eVHV1dVD708chLS2txXFq2tdam6SkJHXr1i0qxnvDhg06ePCgLr30UsXFxSkuLk7vvfeennjiCcXFxSk1NZWxOk2/fv00bNiwoG0XXXSR9u7dK+nb79va90hLS9PBgweD9jc0NOjIkSOWjKlTxuv+++8P/GI6YsQI3Xbbbfr1r38d+FWesTozJ41NKLF0VLT8/VuF3NQ2clN4yE2hIze1n5PGxqrc5JoiLyEhQaNGjVJZWVlgm9/vV1lZmXJzc22MzFrGGE2fPl2vvPKK3n77bQ0aNCho/6hRoxQfHx80Dtu3b9fevXsD45Cbm6vNmzcH/Ye6YsUKJSUlBU6kubm5QcdoatN0jGgY72uvvVabN29WeXl54DV69GhNmjQp8L8Zq29dccUVzZY837FjhwYOHChJGjRokNLS0oK+R21trdasWRM0XtXV1dqwYUOgzdtvvy2/36+cnJxAm5UrV+rUqVOBNitWrNCFF16oXr16Bdq0NqZ2O378uGJigk+fsbGx8vv9khir1jhpbEKJpaOi5e+/o8hNoSM3hYfcFDpyU/s5aWwsy00hL9ESBZYsWWK8Xq9ZvHixqaioMHfddZdJSUkJWn0q2k2bNs0kJyebd9991xw4cCDwOn78eKDN3XffbTIyMszbb79t1q9fb3Jzc01ubm5gf9PSy9ddd50pLy83b7zxhjnnnHNaXHr5/vvvN1u3bjU+n6/FpZejbbxPX8HMGMbqdGvXrjVxcXFmzpw5ZufOneZPf/qT6d69u/njH/8YaDN37lyTkpJiXn31VfPJJ5+YH/3oRy0uLzxy5EizZs0a88EHH5jBgwcHLS9cXV1tUlNTzW233Wa2bNlilixZYrp3795seeG4uDgzf/58s3XrVjN79mzbl14+3eTJk825554bWKb6z3/+s+nTp4954IEHAm268lgdPXrUbNq0yWzatMlIMgsWLDCbNm0yX3zxhTHGWWMTSiwdFQ1//x1FbuoYctOZkZtCR25qXVfLTa4q8owx5sknnzQZGRkmISHBjB071qxevdrukCwlqcXXs88+G2hz4sQJ86tf/cr06tXLdO/e3fz4xz82Bw4cCDrOnj17TEFBgenWrZvp06eP+ad/+idz6tSpoDbvvPOOyc7ONgkJCea8884L6qNJtI33dxMpYxXsr3/9qxk+fLjxer1m6NCh5umnnw7a7/f7zUMPPWRSU1ON1+s11157rdm+fXtQm8OHD5tbb73V9OjRwyQlJZkpU6aYo0ePBrX5+OOPzZVXXmm8Xq8599xzzdy5c5vF8vLLL5shQ4aYhIQEc/HFF5vS0lLrv3A71dbWmnvvvddkZGSYxMREc95555kHH3wwaMnkrjxW77zzTovnqcmTJxtjnDU2ocRihWj4++8IclPHkJtaR24KDbmpdV0tN3mMMSb0634AAAAAACdzzZw8AAAAAABFHgAAAAC4CkUeAAAAALgIRR4AAAAAuAhFHgAAAAC4CEUeAAAAALgIRR4AAAAAuAhFHgAAAAC4CEUeAAAAALgIRR4AAAAAuAhFHgAAAAC4CEUeAAAAALjI/wP5048EIPS3tQAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 900x1800 with 18 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid\n",
-      "l2reg_beta=1e-07\n",
-      "smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 900x1800 with 18 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "for group, df in results_df.groupby(list(non_lasso_groupers)):\n",
-    "    hyper_params = [f\"{k}={v}\" for k, v in zip(non_lasso_groupers, group)]\n",
-    "    print(\"\\n\".join(hyper_params))\n",
-    "\n",
-    "    fig, ax = plt.subplots(\n",
-    "        len(df.lasso_coeff.unique()), \n",
-    "        2, \n",
-    "        # len(df.data_replicate.unique()), \n",
-    "        figsize=(9, len(df.lasso_coeff.unique())*2),\n",
-    "        sharex=True,\n",
-    "        sharey=True\n",
-    "    )\n",
-    "    if not isinstance(ax, np.ndarray):\n",
-    "        ax = np.array([ax])\n",
-    "    if not isinstance(ax[0], np.ndarray):\n",
-    "        ax = np.array([ax])\n",
-    "\n",
-    "    # plot the error for each model\n",
-    "    for i, lasso_coeff_cat in enumerate(sorted(df.lasso_coeff_cat.unique())):\n",
-    "        for j, data_replicate in enumerate(sorted(df.data_replicate.unique())):\n",
-    "            results_df_sub = df[(df.lasso_coeff_cat == lasso_coeff_cat) & (df.data_replicate == data_replicate)]\n",
-    "            for k, row in results_df_sub.iterrows():\n",
-    "                ax[i, j].plot(row.error, label=lasso_coeff_cat)\n",
-    "\n",
-    "            ax[i, j].set_title(None)\n",
-    "            ax[i, j].set_yscale(\"log\")\n",
-    "            # ax[i, j].set_title(f\"lasso_coeff={lasso_coeff}, data_replicate={data_replicate}\")\n",
-    "            ax[i, j].legend()\n",
-    "    ax[0, 0].set_title(\"Replicate 1\")\n",
-    "    ax[0, 0].set_xlim(-5, 100005)\n",
-    "    ax[0, 1].set_title(\"Replicate 2\")\n",
-    "    ax[0, 1].set_xlim(-5, 100005)\n",
-    "    fig.savefig(f\"{output_dir}/error_trajectory.png\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 36 entries, 0 to 35\n",
-      "Data columns (total 15 columns):\n",
-      " #   Column            Non-Null Count  Dtype   \n",
-      "---  ------            --------------  -----   \n",
-      " 0   data_replicate    36 non-null     object  \n",
-      " 1   l2reg_beta        36 non-null     object  \n",
-      " 2   lasso_coeff       36 non-null     float64 \n",
-      " 3   post_latent_fn    36 non-null     object  \n",
-      " 4   smooth_obj_fn     36 non-null     object  \n",
-      " 5   total_iterations  36 non-null     object  \n",
-      " 6   sparsity          36 non-null     object  \n",
-      " 7   params            36 non-null     object  \n",
-      " 8   D                 36 non-null     object  \n",
-      " 9   data              36 non-null     object  \n",
-      " 10  state             36 non-null     object  \n",
-      " 11  error             36 non-null     object  \n",
-      " 12  obj               36 non-null     object  \n",
-      " 13  converged         36 non-null     object  \n",
-      " 14  lasso_coeff_cat   36 non-null     category\n",
-      "dtypes: category(1), float64(1), object(13)\n",
-      "memory usage: 4.5+ KB\n"
-     ]
-    }
-   ],
-   "source": [
-    "results_df.info()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Extract mutation dataframes from `Data` object, and merge in the annotations from the row."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# define a function that takes a series (row) of the DataFrame, extracts, and merges annotations\n",
-    "def extract_mut_df_merge_annotations(row, times_seen_threshold=1, id_vars=[\"data_replicate\", \"equivariant\", \"lasso_coeff\"]):\n",
-    "    mutations_df = row.data.mutations_df.copy()\n",
-    "    params = row.params\n",
-    "    for condition in params[\"β\"]:\n",
-    "        assert len(params[\"β\"][condition]) == mutations_df.shape[0]\n",
-    "        col_name = \"β_\" + condition\n",
-    "        mutations_df[col_name] = params[\"β\"][condition]\n",
-    "    \n",
-    "    D = row.D\n",
-    "    D_str = []\n",
-    "    for i, r in enumerate(D):\n",
-    "        D_str.append(\n",
-    "            \"+\".join([f\"{'-' if coef == -1 else ''}β_{list(params['β'].keys())[j]}\" \n",
-    "            for j, coef in enumerate(r) if coef != 0.0])\n",
-    "        )\n",
-    "\n",
-    "    if \"equivariant\" not in row:\n",
-    "        D_str[1] = \"reference_ghost_shift\"\n",
-    "    else:\n",
-    "        if not row.equivariant == 'True':\n",
-    "            D_str[1] = \"reference_ghost_shift\"\n",
-    "\n",
-    "    for name, shifts in zip(D_str, params[\"Δ\"]):\n",
-    "        if name == \"reference_ghost_shift\":\n",
-    "            continue\n",
-    "        \n",
-    "        # TODO this does not account for bundle muts\n",
-    "        # print(name)\n",
-    "        # cond1, cond2 = name.split(\"+\")\n",
-    "        # cond1_betas = mutations_df[\n",
-    "        #     (cond1[1:] if cond1.startswith(\"-\") else cond1)\n",
-    "        # ].values * (-1 if cond1.startswith(\"-\") else 1)\n",
-    "        # cond2_betas = mutations_df[\n",
-    "        #     (cond2[1:] if cond2.startswith(\"-\") else cond2)\n",
-    "        # ].values * (-1 if cond2.startswith(\"-\") else 1)\n",
-    "        # assert np.allclose(shifts, (cond1_betas + cond2_betas))\n",
-    "        # print(name, shifts)\n",
-    "        \n",
-    "        mutations_df[name] = shifts\n",
-    "\n",
-    "    \n",
-    "    data = row.data\n",
-    "    if times_seen_threshold > 0:\n",
-    "        for condition in data.conditions:\n",
-    "            mutations_df = mutations_df[\n",
-    "                mutations_df[f\"times_seen_{condition}\"] >= times_seen_threshold\n",
-    "            ]\n",
-    "        \n",
-    "    for key in row.keys():\n",
-    "        if key in id_vars:\n",
-    "            mutations_df[key] = row[key]\n",
-    "\n",
-    "    return mutations_df\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So it's not the case that the $\\Delta$ parameters are all equal to the difference in $\\beta$'s. Let's investigate a sigle fit to see where they differ"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'data_replicate',\n",
-       " 'l2reg_beta',\n",
-       " 'post_latent_fn',\n",
-       " 'smooth_obj_fn',\n",
-       " 'total_iterations'}"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "set(string_features) - set(['lasso_coeff'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mutation</th>\n",
-       "      <th>wts</th>\n",
-       "      <th>sites</th>\n",
-       "      <th>muts</th>\n",
-       "      <th>times_seen_Delta</th>\n",
-       "      <th>times_seen_Omicron_BA1</th>\n",
-       "      <th>times_seen_Omicron_BA2</th>\n",
-       "      <th>β_Delta</th>\n",
-       "      <th>β_Omicron_BA1</th>\n",
-       "      <th>β_Omicron_BA2</th>\n",
-       "      <th>β_Delta+-β_Omicron_BA1</th>\n",
-       "      <th>-β_Omicron_BA1+β_Omicron_BA2</th>\n",
-       "      <th>data_replicate</th>\n",
-       "      <th>l2reg_beta</th>\n",
-       "      <th>lasso_coeff</th>\n",
-       "      <th>post_latent_fn</th>\n",
-       "      <th>smooth_obj_fn</th>\n",
-       "      <th>total_iterations</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>M1I</td>\n",
-       "      <td>M</td>\n",
-       "      <td>1</td>\n",
-       "      <td>I</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>-1.493440</td>\n",
-       "      <td>-2.540703</td>\n",
-       "      <td>-1.717500</td>\n",
-       "      <td>1.047264</td>\n",
-       "      <td>0.823204</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>F2I</td>\n",
-       "      <td>F</td>\n",
-       "      <td>2</td>\n",
-       "      <td>I</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>-0.575430</td>\n",
-       "      <td>0.301247</td>\n",
-       "      <td>0.549140</td>\n",
-       "      <td>-0.876677</td>\n",
-       "      <td>0.247892</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>F2L</td>\n",
-       "      <td>F</td>\n",
-       "      <td>2</td>\n",
-       "      <td>L</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>0.320407</td>\n",
-       "      <td>0.297399</td>\n",
-       "      <td>0.006393</td>\n",
-       "      <td>0.023009</td>\n",
-       "      <td>-0.291006</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>F2S</td>\n",
-       "      <td>F</td>\n",
-       "      <td>2</td>\n",
-       "      <td>S</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>0.466120</td>\n",
-       "      <td>0.275658</td>\n",
-       "      <td>0.537948</td>\n",
-       "      <td>0.190462</td>\n",
-       "      <td>0.262290</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>F2V</td>\n",
-       "      <td>F</td>\n",
-       "      <td>2</td>\n",
-       "      <td>V</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>-0.495355</td>\n",
-       "      <td>0.532535</td>\n",
-       "      <td>0.829203</td>\n",
-       "      <td>-1.027890</td>\n",
-       "      <td>0.296668</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1e-07</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>linear</td>\n",
-       "      <td>cond_norm_sum_penalty</td>\n",
-       "      <td>100000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   mutation wts  sites muts  times_seen_Delta  times_seen_Omicron_BA1  \\\n",
-       "1       M1I   M      1    I               3.0                     3.0   \n",
-       "8       F2I   F      2    I               1.0                     2.0   \n",
-       "9       F2L   F      2    L               7.0                    12.0   \n",
-       "10      F2S   F      2    S               4.0                     7.0   \n",
-       "11      F2V   F      2    V               1.0                     5.0   \n",
-       "\n",
-       "    times_seen_Omicron_BA2   β_Delta  β_Omicron_BA1  β_Omicron_BA2  \\\n",
-       "1                      5.0 -1.493440      -2.540703      -1.717500   \n",
-       "8                      1.0 -0.575430       0.301247       0.549140   \n",
-       "9                     18.0  0.320407       0.297399       0.006393   \n",
-       "10                    11.0  0.466120       0.275658       0.537948   \n",
-       "11                     3.0 -0.495355       0.532535       0.829203   \n",
-       "\n",
-       "    β_Delta+-β_Omicron_BA1  -β_Omicron_BA1+β_Omicron_BA2 data_replicate  \\\n",
-       "1                 1.047264                      0.823204              1   \n",
-       "8                -0.876677                      0.247892              1   \n",
-       "9                 0.023009                     -0.291006              1   \n",
-       "10                0.190462                      0.262290              1   \n",
-       "11               -1.027890                      0.296668              1   \n",
-       "\n",
-       "   l2reg_beta  lasso_coeff post_latent_fn          smooth_obj_fn  \\\n",
-       "1       1e-07          0.0         linear  cond_norm_sum_penalty   \n",
-       "8       1e-07          0.0         linear  cond_norm_sum_penalty   \n",
-       "9       1e-07          0.0         linear  cond_norm_sum_penalty   \n",
-       "10      1e-07          0.0         linear  cond_norm_sum_penalty   \n",
-       "11      1e-07          0.0         linear  cond_norm_sum_penalty   \n",
-       "\n",
-       "   total_iterations  \n",
-       "1            100000  \n",
-       "8            100000  \n",
-       "9            100000  \n",
-       "10           100000  \n",
-       "11           100000  "
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mut_dfs = []\n",
-    "for i, row in results_df.iterrows():\n",
-    "    mut_dfs.append(\n",
-    "        extract_mut_df_merge_annotations(row, id_vars=set(string_features))\n",
-    "    )\n",
-    "mut_dfs = pd.concat(mut_dfs)\n",
-    "id_vars = list(set(string_features))\n",
-    "mut_dfs.sort_values(id_vars, inplace=True)\n",
-    "mut_dfs.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['post_latent_fn',\n",
-       " 'l2reg_beta',\n",
-       " 'data_replicate',\n",
-       " 'lasso_coeff',\n",
-       " 'smooth_obj_fn',\n",
-       " 'total_iterations']"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "id_vars"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# ignore warnings\n",
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=0.0, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=5e-06, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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VV4rc3NwTyjMnJ0dMnDhRpKSkCLVaLaKiosSoUaPEr7/+esTz/3k40aFD0A41YcIEYTQaQ7bxpyFKQgiRl5cnrr32WhEdHS20Wq3IyMgQt912W3AY2F8NTXvjjTdEy5YthVqtFrGxseLWW28VVVVVIWmONMvVsfzM/uzPQ5QkSRIRERFi1KhRYv369cF0I0eOFDqd7ojTWAohxHXXXSfUarUoLy8XQvxxLw/3+vN9k8nOdZIQJ7HXiOyIGiZUKCsrIyoq6kwX55z14Ycfcv3117N27drDDumRyWSyc4n8TFgmk8lksjNEfiZ8lrDZbH/5LDU6OvqIQ0xkf3A6nYftTHaoiIiIYx5P/E9SVlZ21MkzNBrNcU+KIpPJjkwOwmeJ//73vzzxxBNHTZOTkxNcQEF2ZF988QXXX3/9UdMsWbJEXqf2MLp06XLYiVUa9O3bl6VLl56+Aslk5zn5mfBZYv/+/X85dWDv3r1Dej3LDq+oqIjt27cfNU2nTp1CVmKS1Vu+fHnIxCp/Fh4eTqdOnU5jiWSy85schGUymewMuu666/joo4+YMmVKcGgXwNy5c7n44otP6oxrsrOP3DFLJpPJzjCdTsfzzz9/1HnGZecnOQjLZDLZ7zZu3sqkh5/hinue4taHnmbj5q2n5byDBg0iLi6OKVOmHDHN119/TevWrdFqtaSlpQUXyGiQlpbGs88+yw033IDZbCYlJYVp06YF93s8Hm6//Xbi4+PR6XSkpqYGz3fDDTcwYsSIkPy8Xi8xMTG8//77APTr148777yT+++/n4iICOLi4oILrjQ4cOAAo0ePxmQyYbFYGD9+PCUlJcH9jz/+OO3bt2fGjBmkpaVhtVq5/PLLgwulfPzxx0RGRuJ2u0PyHTNmDNdcc01IHh988AEpKSmYTCYmTZqE3+/nhRdeIC4ujpiYGJ555pnjKlvDXPiHuvvuu0P6jsyaNYusrCz0ej2RkZEMGjQouK73iZKDsEwmk1EfgB94ew4HYvtgS+9PftwFPPD2nNMSiJVKJc8++yyvv/56cG71Q61fv57x48dz+eWXs3XrVh5//HEeffRRPvzww5B0L730Ep07d2bjxo1MmjSJW2+9lV27dgHw2muv8e233/Lll1+ya9cuZs6cGezoedNNN/HTTz+FTG37/fff43A4gjOZQf3KaUajkdWrV/PCCy/w5JNPBud5DwQCjB49msrKSpYtW8aCBQvYv39/yPEA+/btY+7cuXz//fd8//33LFu2jOeeew6AcePG4ff7Q6YxLS0t5YcffuCGG24IyWPevHn89NNPfPbZZ7z//vsMHz6cgwcPsmzZMp5//nkeeeQRVq9efVxlO5qioiKuuOIKbrjhBrKzs1m6dCmXXHLJ339ccObmCZHJZCfC5XKJ66+/XiQnJwuz2Sy6desmVqxYcaaLdc679aGnxfBXlokRr/0afA1/ZZm49aGnT+l5J0yYIEaPHi2EEKJ79+7ihhtuEEIIMWfOnODMcldeeaW48MILQ4677777RGZmZvB9amqquPrqq4PvA4GAiImJEW+99ZYQQog77rhDDBgwQAQCgcOWIzMzUzz//PPB9yNHjhTXXXdd8H3fvn1F7969Q47p0qWLeOCBB4QQQsyfP18olUpx4MCB4P7t27cLQKxZs0YIUT8bmsFgCJnZ77777hPdunULvr/11lvFsGHDgu9feuklkZGRESz34fIYMmSISEtLE36/P7itRYsWYsqUKcdctkN/Dg3uuusu0bdvXyGEEOvXrxfACc/MdyRyTVgmO8f4fD7S0tL47bffqK6u5u6772bkyJGnZc7u81mVK4CkCP2TKCkUVLkCp60Mzz//PB999BHZ2dkh27OzsxutRtarVy/27NkTMq67bdu2wf9LkkRcXBylpaVAfXPrpk2baNGiBXfeeSfz588Pye+mm25i+vTpAJSUlDBv3ryQ2uef84f6JUcb8s/OziY5OTlkTe3MzEzCwsJCrictLS1kfe5D8wCYOHEi8+fPp6CgAKifJe+6664LWa3tz3nExsaSmZmJ4pCfX2xs7HGX7WjatWvHwIEDycrKYty4cbz77rsn5Rm+HIRlsnOM0WjkscceIyUlBYVCweWXX45Gowk2O8pOTLhOgQiEBlwRCBCuO31/Ji+44AKGDBnCQw89dELHq9XqkPeSJAXXFO/YsSM5OTk89dRTOJ1Oxo8fz9ixY4Npr732Wvbv38/KlSv55JNPSE9Pp0+fPsec/8koI0CHDh1o164dH3/8MevXr2f79u2N1hI/XB5/t2wKhaJR07LX6w3+X6lUsmDBAubNm0dmZiavv/46LVq0ICcn55jPcdjz/q2jZbKziNvt5oEHHiAhIQG9Xk+3bt0arUt8LJ555hkkSaJNmzaN9i1duhRJkg77WrVq1QmX/eeffw7JS61W07RpUx5//HE8Hs9Rj92zZw+VlZU0bdr0hM9/qBO9j2vXruX222+ndevWGI1GUlJSGD9+PLt37w5JZ7PZmDx5MkOHDiUiIgJJkho92zwTJl42Cs/OpcFALAIBPDuXMvGyw68Adao899xzfPfddyHLgrZq1Yrly5eHpFu+fDnNmzc/rln0LBYLl112Ge+++y5ffPEFX3/9NZWVlUD9qmJjxoxh+vTpwTnaj0erVq3Iz88nPz8/uG3Hjh1UV1eTmZl5XHnddNNNfPjhh0yfPp1BgwaF1GBPxLGULTo6utFyr5s2bQp5L0kSvXr14oknnmDjxo1oNBrmzJnzt8omz5glO29cd911zJo1i7vvvptmzZrx4YcfctFFF7FkyRJ69+59THkcPHiQZ599FqPReNR0d955J126dAnZ9neCYMNyki+//DLR0dE4HA6++uornnjiCdxu9xF7zTqdTq6++moeeughrFbrCZ//UCd6H59//nmWL1/OuHHjaNu2LcXFxbzxxht07NiRVatWBb/UlJeX8+STT5KSkkK7du3Omhm4OrTL4vlb4N0vvqXKVV8DnnjLxXRol3Vay5GVlcVVV13Fa6+9Ftz273//my5duvDUU09x2WWXsXLlSt544w2mTp16zPm+/PLLxMfH06FDBxQKBV999RVxcXEhS2XedNNNjBgxAr/fz4QJE46r3IMGDQqW/ZVXXsHn8zFp0iT69u173IutXHnlldx77728++67fPzxx8d17ImWbcCAAbz44ot8/PHH9OjRg08++YRt27bRoUMHoH699EWLFjF48GBiYmJYvXo1ZWVltGrV6u8V7qQ+YZad82w225kuwglZvXq1AMSLL74Y3OZ0OkWTJk1Ejx49jjmfyy67TAwYMOCIy/41LPf41VdfnZRyN7jqqquETqcTPp8vuM3tdou4uDiRnp5+2GM8Ho8YPny4uPLKK4/Y2eZ4/Z37uHz58uDSiw12794ttFqtuOqqq4LbXC6XKCoqEkIIsXbtWgGI6dOnn5Tyn4sO1yEoJydHaDSakCU/Z82aJTIzM4VarRYpKSkhPyMh6jtm/e9//wvZ1q5du+Dyj9OmTRPt27cXRqNRWCwWMXDgQLFhw4aQ9IFAQKSmpoqLLrqoUTn79u0r7rrrrpBto0ePFhMmTAi+z8vLE6NGjRJGo1GYzWYxbtw4UVxcHNw/efJk0a5du5A8/ve//x12Kc1rrrlGRERECJfLFbL9cHkc7h7+ubx/VTYhhHjsscdEbGyssFqt4v/+7//E7bffHuyYtWPHDjFkyJDgcqPNmzcXr7/+eqNyHy85CJ8FGtZPzc7OFuPGjRNms1lERESIO++8UzidzpC0Bw8eFNdff72IiYkRGo1GZGZmivfffz8kTW5urrj11ltF8+bNhU6nExEREWLs2LEiJyfnsOfdvn27uOKKK0RYWJho3769EEKI2tpacdddd4nU1FSh0WhEdHS0GDRoUMhasUIIsWHDBjF06FBhNpuF0WgUAwYMECtXrjzsefbs2SMmTJggrFarsFgs4rrrrjvqOrPH47777hNKpVLU1NSEbH/22WcFENIr8kiWLVsmlEql2LJlyzEF4draWuH1ek9K+du0aSM6derUaHvHjh1FREREo+1+v19cdtllYsSIESetDEKcnPv4Zx07dhQdO3Y87D45CJ9d6urqhMViEV9//fWZLooYMGCAuOOOO850MU45uTn6LDJ+/HjS0tKYMmUKq1at4rXXXqOqqirYHFNSUkL37t2RJInbb7+d6Oho5s2bx4033khtbS133303UP9sbsWKFVx++eUkJSWRm5vLW2+9Rb9+/dixYwcGgyHkvOPGjaNZs2Y8++yzwY4Jt9xyC7NmzeL2228nMzOTiooKfvvtN7Kzs+nYsSMA27dvp0+fPlgsFu6//37UajXvvPMO/fr1Y9myZXTr1q3R9aWnpzNlyhQ2bNjAe++9R0xMDM8//3wwjdfr/csVkBpEREQEe0Nu3LiR5s2bY7FYQtJ07doVqH+2c7TnSn6/nzvuuIObbrqJrKy/bn68/vrrsdlsKJVK+vTpw4svvnjC6xt7PB527doVnIygQWFhITt27KBv376NjvnXv/5FUVERP//8MypV41/jM3Uf/0wIQUlJCa1btz7mY2SnXyAQoLy8nJdeeomwsDBGjTq9z8EPVVVVxdKlS1m6dOlxNbefs870twDZHzXFUaNGhWyfNGmSAMTmzZuFEELceOONIj4+XpSXl4eku/zyy4XVahUOh0MIIYL/HmrlypUCEB9//HGj815xxRWN0lutVnHbbbcdtdxjxowRGo1G7Nu3L7itsLBQmM1mccEFFzQ6T8P4xwYXX3yxiIyMDNnWUNM8ltehNfvWrVuLAQMGNCpjw1jAt99++6jX8sYbbwir1SpKS0uFEOKINeHly5eLSy+9VLz//vvim2++EVOmTBGRkZFCp9M1ato7Vhs3bhSAeOqpp0RZWZkoLCwUP/30k2jXrp0wGo1i7dq1Ielzc3MFIHQ6nTAajcHXL7/8Ekxzpu7jn82YMUMAjVprGsg14bNDTk6OAERSUpJYuHDhGS1LamqqsFgsjZrbz1dyTfgsctttt4W8v+OOO5g6dSo//vgjWVlZfP3114wfPx4hBOXl5cF0Q4YM4fPPP2fDhg306tULvV4f3Of1eqmtraVp06aEhYWxYcOGRjWuW265pVFZwsLCWL16NYWFhSQkJDTa7/f7mT9/PmPGjCEjIyO4PT4+niuvvJJ3332X2trakBrVn8/Tp08f5syZE5KuXbt2x9yjOS4uLvh/p9OJVqttlKZh1amjrQxUUVHBY489xqOPPkp0dPRRz9mzZ0969uwZfD9q1CjGjh1L27Zteeihh/jpp5+OqeyH2rJlCwCPPvoojz76aHB7v379+O2332jfvn1I+tTU1L+cpedM3Mc/27lzJ7fddhs9evQ47k4+stMrLS3trFkoIjc390wX4bSSg/BZpFmzZiHvmzRpgkKhIDc3l7KyMqqrq5k2bVrIfLCHahiY7nQ6mTJlCtOnT6egoCDkl+twTZTp6emNtr3wwgtMmDCB5ORkOnXqxEUXXcS1114bDLhlZWU4HA5atGjR6NhWrVoRCATIz88PaYZMSUkJSdewlGBVVVUwCIeHhzNo0KDDXt/R6PX6RvPNArhcruD+I3nkkUeIiIjgjjvuOO7zQn2v6NGjRzN79mz8fv9xDRmBP3pG//DDD2g0GkpKSpgyZQrr168/4R7PZ+I+Hqq4uJjhw4djtVqZNWvWcd8TmeyfQg7CZ7FDZ4hpGHR+9dVXH7FW0TCbzR133MH06dO5++676dGjB1arFUmSuPzyyw87eP1wf1jHjx8frKnOnz+fF198keeff57Zs2czbNiwE7qeI/0hPvRLgsfjCY5b/CvR0dHBPOPj44Mz7ByqYdzf4WrzUD/Gdtq0abzyyisUFhYGt7tcLrxeL7m5uVgsFiIiIo5aluTkZDweD3a7vdHz1L+yZcsWUlNTueiii4LbOnbsSGZmJlOnTuXFF188rvzg9N/HQ9XU1DBs2DCqq6v59ddfj+kYmeyfSg7CZ5E9e/aE1Er37t1LIBAgLS2N6OhozGYzfr//L2s4s2bNYsKECSGrrLhcLqqrq4+rPPHx8UyaNIlJkyZRWlpKx44deeaZZxg2bBjR0dEYDIbDztK0c+dOFArFCQ2wX7FiBf379z+mtDk5OcEJ6Nu3b8+SJUsaNYE3TOD+5ybdBgUFBQQCAe68807uvPPORvvT09O56667eOWVV45alv3796PT6TCZTMdU9kNt2bIl2PGpQatWrejcuTNff/31CQXh030fG7hcLkaOHMnu3btZuHDhcU/SIJP908hB+Czy5ptvMnjw4OD7119/HYBhw4ahVCq59NJL+fTTT9m2bVuj2ZzKysqCzzOVSmWj5zuvv/56yByzR+P3+7HZbCFNoTExMSQkJASbKpVKJYMHD+abb74hNzc3+Ee8pKSETz/9lN69ex93jRBO/Fnm2LFj+e9//8u0adO49957gfqZn6ZPn063bt2CXwgcDgcHDhwgKiqKqKgo2rRpc9gZbx555BHq6up49dVXadKkSXD7ofe5webNm/n2228ZNmxYyNy1x6K4uJjS0tLDzs41ZMgQnnnmGbKzs497QoDTfR+h/nPTMJHEN998Q48ePY6rzDLZP5EchM8iOTk5jBo1iqFDhwbnb73yyitp164dUD+d3ZIlS+jWrRsTJ04kMzOTyspKNmzYwMKFC4PNjyNGjGDGjBlYrVYyMzNZuXIlCxcuJDIy8pjKUVdXR1JSEmPHjqVdu3aYTCYWLlzI2rVrQ2rXTz/9NAsWLKB3795MmjQJlUrFO++8g9vt5oUXXjihe3CizzK7devGuHHjeOihhygtLaVp06Z89NFH5Obm8v7777O3tI6UCCNr1qyhf//+TJ48mccff5yoqKhGa4gCwZrvn/dddtll6PV6evbsSUxMDDt27GDatGkYDIbgcmyHkiSJvn37HnFWqIbnwYcbFjV48GCeeeYZfvjhh+MOwqfqPjb4832E+lmdvv32W0aOHEllZSWffPJJSN5XX3118P9vvPEG1dXVwUcA3333XXAJvzvuuOOkzf4lk531zmTXbFm9hiE8O3bsEGPHjhVms1mEh4eL22+/vdFkHSUlJeK2224TycnJQq1Wi7i4ODFw4EAxbdq0YJqqqipx/fXXi6ioKGEymcSQIUPEzp07RWpqasjsNg3nLSsrCzmH2+0W9913n2jXrl1wEo527dqJqVOnNir7hg0bxJAhQ4TJZBIGg0H079+/0bJ6RzrP9OnTGw2R+TucTqe49957RVxcnNBqtaJLly7ip59+EtsKqkX6g9+Luz/fGBy60zCL0JEcaYjSq6++Krp27SoiIiKESqUS8fHx4uqrrxZ79uxplLaurk4A4vLLLz/ieV544YWQYWiH8ng8wmw2i/79+//1xZ9ER7qPhzrcfezbt+9Rh0IdKjU19ZiGTMlk5ztJiLOkX/o/2OOPP84TTzxBWVlZsGlPdnIIIRj/zkp2FNZi9/h588qODG8bf1rO/eOPPzJixAg2b958TBOAyGTns8cff5y5c+c2WhThn05eRUl2Xvt+SxFrc6u4c2AzuqZH8PCcrZTUuk7LuZcsWcLll18uB2DZEZWVlXHrrbeSkpKCVqslLi6OIUOGhKyYJEkSc+fOPW1lKi4u5o477iAjIwOtVktycjIjR45k0aJFp60M/yTyM2HZecvh8fHMD9l0SQunbVIY6VFGHvh6C/d9tZmPbugaMgTsVDiRXs2yf5ZLL70Uj8fDRx99REZGBiUlJSxatIiKioozUp7c3Fx69epFWFgYL774IllZWXi9Xn7++Wduu+02du7ceUbKdT6Ta8Ky89bby/ZTYXdzVbdUAMw6Ndf3SueXPeVsOXhs8yrL/ll2bN7IG//5F+/cO5bX/3MzOzZvPGXnahhH/fzzz9O/f39SU1Pp2rUrDz30UHDu5oZRBxdffDGSJAXfA7z11ls0adIEjUZDixYtmDFjRkj+kiTx1ltvMWzYMPR6PRkZGcyaNeuoZZo0aRKSJLFmzRouvfRSmjdvTuvWrbnnnntC1ss+cOAAo0ePxmQyYbFYGD9+PCUlJSF5Pffcc8TGxmI2m7nxxhuDE740CAQCPPnkkyQlJaHVamnfvn3IjHO5ublIksTs2bPp378/BoOBdu3ahayzfF44w8+kZbJT5oLnF4sbpq8RK/aWB1+/7C4VLR+ZJ15ftPtMF092ltm+aYP48PYLhH9qHyHerv/3w9svENs3ndic4H/F6/UKk8kk7r777kbL9TUoLS0Nzq1dVFQUnNt89uzZQq1WizfffFPs2rVLvPTSS0KpVIrFixcHjwVEZGSkePfdd8WuXbvEI488IpRKpdixY8dhz1VRUSEkSRLPPvvsUcvt9/tF+/btRe/evcW6devEqlWrRKdOnYJL/gkhxBdffCG0Wq147733xM6dO8V//vMfYTabQ5YgfPnll4XFYhGfffaZ2Llzp7j//vuFWq0Wu3fX/242zGfdsmVL8f3334tdu3aJsWPHitTU1JO6ctiZJgdh2XmpuMYpUh/4Xrw8f1dIEF6xt1xcOnW5GP/2ir/ORPaP8vrDNwcDcMPLP7WPeP3hm0/ZOWfNmiXCw8OFTqcTPXv2FA899FCjnvKAmDNnTsi2nj17iokTJ4ZsGzduXMg6wIC45ZZbQtJ069ZN3HrrrYctS8Na0rNnzz5qmefPny+USmXIspYNC3ysWbNGCCFEjx49xKRJkxqd+9AgnJCQIJ555pmQNF26dAke1xCE33vvvUbnyc7OPmoZzyVyc7TsvLQmp37MdMs4c6N9WUlW1udVYXP7TnexZGcxtbsChSK0n4BCIaF2H9v0nyfi0ksvpbCwkG+//ZahQ4eydOlSOnbsyIcffnjU47Kzs+nVq1fItl69epGdnR2y7c8TpvTo0aNRmgbiGAfKZGdnk5ycHDIjXmZmJmFhYcG8s7OzGy1lemhZamtrKSwsPKZraJiOF+pn8YM/5sk/H8hBWHZeWpNTSUKYjjCDptG+rEQrvoBg9f4z0/lFdnbyaiMJBEIDUSAg8GqPPm/436XT6bjwwgt59NFHWbFiBddddx2TJ08+pec8nGbNmiFJ0lnX+UqtVgf/39CZ8nBz4J+r5CAsOy+tzqmgRezhp82Ms+iIMWv5dU/5YffL/pkGjL+FGTukYCAOBAQzdkgMGN94qc9TKTMzE7vdHnyvVqsbTTnbqlWrkGFMAMuXL280V/ehnaka3h9p9rWIiAiGDBnCm2++GXL+Bg1zz7dq1Yr8/Hzy8/OD+3bs2EF1dXXw/K1atQrON364slgsFhISEo7pGs538hAl2Xmnyu5hd4mNQa1iD7tfkiSyEq38srvsNJdMdjbLbNcBbnqFqV++jdpdiVcbwYCbbqnffgpUVFQwbtw4brjhBtq2bYvZbGbdunW88MILjB49OpguLS2NRYsW0atXL7RaLeHh4dx3332MHz+eDh06MGjQIL777jtmz57NwoULQ87x1Vdf0blzZ3r37s3MmTNZs2ZNyPSjf/bmm2/Sq1cvunbtypNPPknbtm3x+XwsWLCAt956i+zsbAYNGkRWVhZXXXUVr7zyCj6fj0mTJtG3b186d+4MwF133cV1111H586d6dWrFzNnzmT79u0ha4/fd999TJ48mSZNmtC+fXumT5/Opk2bmDlz5km+02e5M/1QWiY72X7eViRSH/hefLOxoFGnrIbX/xbsEqkPfC8OVjnOdHFl/1Aul0s8+OCDomPHjsJqtQqDwSBatGghHnnkEeFw/PG5/Pbbb0XTpk2FSqUSqampwe1Tp04VGRkZQq1Wi+bNm4uPP/44JH9AvPnmm+LCCy8UWq1WpKWliS+++OIvy1VYWChuu+02kZqaKjQajUhMTBSjRo0SS5YsCabJy8sTo0aNEkajUZjNZjFu3DhRXFwcks8zzzwTnDp3woQJ4v777w/pmOX3+8Xjjz8uEhMThVqtFu3atRPz5s0L7m/omLVx48bgtqqqKgGElOVcJ09bKTvvPP39Dr7ZVMhrVxy5BmNz+/jXjHVMuSSLy7qknMbSyWSnhyRJzJkz57ALlMjOHvIzYdl5Z3VOJS0O0yv6UCatiibRJvm5sEwmO6PkICw7r9jcPrYX1tAy/uhBGKBNopXle8uPeWiGTCaTnWxyxyzZeWVdbiUBAa3iDt8z+lAt48zM2VjAvjIbTWP+OmjLZOcS+cvluUGuCcvOK+vzqrDq1cRbdX+ZtnmsGYUEa3KqTkPJZDKZrDE5CMvOK5vyq2kSbTymFZJ0aiXpUUbW5p66GZFkMpnsaOQgLDtvCCHYnF9Nk2jTMR/TItbM6hx55iyZTHZmyEFYdt7Iq3BQ6/KRcRxBuGWchcJqFwXVzlNYMplMJjs8OQjLzhubD1YD0CTaeMzHNAxlWpsjN0nLZLLTTw7CsvPGpvxq4iw6zDr1Xyf+nUWvJilczxr5ubBMJjsD5CAsO29szq8m4zhqwQ1axJpZs18OwjKZ7PSTg7DsvOD1B9heWHtcnbIatIgzs7fMRqXdcwpKJpPJZEcmB2HZeWFXcR1uX+CEgnDL3yf2kIcqyWSy000OwrLzwuaD1SgkSIsyHPex0WYtUSYNq+UmaZlMdprJQVh2XtiSX0NqpAGtSnlCx2clWlm6u/Qkl0omk8mOTg7CsvPCxvwqMqKOvym6QYfkcPaX2cmrsJ/EUslkMtnRyUFYds6zu33sLbWd0PPgBm0SragUEot3yrVhmUx2+shBWHbO25xfTUBAk5gTD8J6jZLMeIschGUy2WklB2HZOW/l/gosOhVJ4fq/lU/7lDBW7a/A7vadpJLJZDLZ0clBWHbOW763nFbxFhTHsHLS0XRIDsfrF/y2t/wklUwmk8mOTg7CsnOa3e1jy8EaWidY/nZecVYdiWF6lshN0jKZ7DSRg7DsnLYurwpfQJCZYD0p+bVLDmPRzlKEECclP5lMJjsaOQjLzmkr9pUTblCTYNWdlPw6JIdRVudmW0HtSclPJpPJjkYOwrJz2sq9FWTGW5D+5vPgBi3jzYQb1Hy+9sBJyU8mk8mORg7CsnNWrcvLtsKak9YUDaBSKBjUKpav1x+kSl7QQSaTnWJyEJads9bsryQgOCmdsg41sFUsfiH4TK4Ny2SyU0wOwrJz1sr9FUSbtMSYtSc1X6teTe+mUXy0IhevP3BS85bJZLJDyUFYds6qHx9sPmnPgw81tE08JbVuftxadNLzlslksgZyEJadk/aW1rGzuI4OKeGnJP+UCANZiVbe/zVHHq4kk8lOGTkIy85JX607iFmnolPqqQnCACPbJbCloIbP1+afsnPIZLJ/NjkIy845Xn+AWRsO0qtpFGrlqfsIZyVaGdgyhie+287eUtspO49MJvvnkoOw7JyzZGcpFTYP/ZpHn/JzXd09lQijljs/24jb5z/l55PJZP8schCWnXO+XJdPRrSR1EjjKT+XTq3k9v5N2V1SxzM/ZMvPh2Uy2UklB2HZOaW01sWSnWWnpRbcID3KyLU90vh4ZR73fLkZj08etiSTyU4O1ZkugEx2PL7eUIBSIdGzSdRpPe+FmbEYtUreXraP4hoXb1/dCatBfVrLIJPJzj9yTVh2ziirc/PWsr30bhaFUXv6vz/2bBLFQ8NasbWghoEvL2XuxgK5eVomk/0tkpD/isjOEXd8uoFlu8t4cVw7LLozVwutsLn5ZHUeq/ZX0jUtgnuHtKBresQZK49MJjt3yUFYdk5YsrOU6z9cy6R+TejT7PQ9Dz6aLQermbk6jwOVTjqlhnNL3yYMaBmDUnHyZ/CSyWTnJzkIy856drePC19eRpRJy4PDWp6SaSpPVEAINh2o5tvNhewqqSMxTM9V3VMY3zmZKNPJndNaJpOdf+QgLDuruX1+/jVjPSv3VfD8pW2JtejOdJGOaG+pjQU7ilm5vwIhYEjrOK7slkKPjEgUcu1YJpMdhhyEZWctt8/PLTPWs3xvBfcOaUFW4slbN/hUqnN5+XVPOYt3llJQ7SQlwsBlXZIZ1ymJmLP4S4RMJjv95CAsOys5PX5u/3QDv+wp497BLWibFHami3TchBDsKq5jya5SVu2vxB8Q9GsRzfguyQxoGXNKp9yUyWTnBjkIy846e0ttTJq5nrwKB3cPakb75FO3SMPpYnf7WL6vnF92l7GvzE6EUcOodglc0jGRrETrWfWcWyaTnT5yEJadNYQQzN1UwMOztxFh1HDXwGYkRxjOdLFOurwKO7/sKWflvnKqHF7So4yMapfAyHbxNI0xn+niyWSy00gOwrKzQn6lg0fmbmPZ7jJ6N43ixt7p6NTKM12sU8ofEGwtqGHlvnLW5VXh8PhpGmNiaOs4BreOpU2CVe7QJZOd5+QgLDujnB4/HyzP4fXFezBqVFzXK43Oqf+8iS88vgBbDlazJreSjQeqsbl9RJo09GsewwXNo+iRESl36pLJzkNyEJadET5/gNkbC3hp/i4qbB4uzIxlXKdk9Jrzu/Z7LHyBALuL69iUX83mgzUcqHQAkBFlpGt6BB1SwuiQEk6TaJM8MYhMdo6Tg7DstHL7/Hy9voC3lu4lv8pJj4xILuuSfFaP/z3Tqh0esotq2V5Yy94yG/mVDgICdGoFmfEW2iRaaZ1gITPeSrNY03nfjC+TnU/kICw7LYpqnHy2Jp9PV+dRYfPQLSOCUe0SSY869WsCn2+cHj/7y23klNvJLbeTW+GgsNqJAJSSRJMYI60TGgKzhVbxFsKNmjNdbJlMdhhyEJadMm6fn8XZpczeWMDi7FI0KgW9mkYyrE08CWH6M12884rL6ye/0kFepYPccjt5lQ7yKx24f1/7ONaiDQbkFnFmmseaSY8yyrVmmewMk4Ow7KRyef38uqecn7cX8/P2YupcPppEG7mgWTS9m0Vh0MhLWJ8ugYCgqNZFXoWdvIr6oHyg0kGF3QOABCSG68mIMpIUYSAxTE+cRUeEUUOYQU2YQYNRq8SsVaNTK+SxzDLZKSAHYdnfIoQgp9zOr3vKWba7jJX7KnB6/SSG6emSFkHvplEkhsu13rOJ3e3jYJWTwmonhTVOimtcVNg9VNjc1Lp8hz1GpZCw6FRY9GqizVpiLDpizTqSwvUkRxhIiTCQHKGXv2TJZMdJDsKyYyaEoMzmJruojuyiWjYdqGJNbhWVdg8qhUSLODNtE610SosgUW5uPid5fAHqXF5sbh92tw+nN4DT68fh8eFw+7G5fVQ7vdQ4PFQ6PJTVufH6//gTEmXSkBiu/71WrSfSpCHcUF+zNmpVmLRKDBoVOrUSvVqJQavEqFHJvbxl/1hyEJYhhKDO7aPK7vm9RuSh0u6mrM5NaZ2bkloXByod5Fc6sbnra0o6tYL0KCMtYi20iDPRMs4iP1/8BwoIQbXDS2mdi9JaNyV1rt8/P/WvOpeXOpePv/ojY9AoserVhBnURBg1RJm0RJm0RJo0RJu0RJm1RBm1ZCWdG4t4yGTHSg7C55hAQOALCAJC4P/9/z5/AK9f4PUHcHn9uH6vvdg99bUZm8tHjdNLjdNLtdNLtcNDpd1Lpd1NlcNLld2DL9D4Y2DRqQj7vRYTbapvgoyz6EiJMBBj0aI4488IBfi94PeA3wcB7+8vHwT8IPwQCMCfP+ISICnrX4qGlxqUKlBqQKmufy/JCyycDIGAwOHx4/L5g59Pj8+PyxfAfcjn1eb2UefyUefyUuvyUuus/9w2fPEDyH1u+Bm8Epns5JOD8F8QQpB6z6wzXYzTwqjyY1YFMKsCmFR+lMEYK0L+afxG/P5W/On9n/aJQ/cLEIHD/P+Qf4X4PYgG/th+pkmKQ17S76/f3yMBij+2If2Rht9vZsP/g/f20O2Hvj/k//zp/432/fm4Y9l/uDRHSvdXxxzNX+X317wBqPNI1HklloxyYe5+jdxJTHbekIPwXygrKyMmJuZMF0Mmk/2utLSU6OjoM10MmeykkLsy/gWNpn6Sg/z8fCwWyxkuzalRW1tLcnLyeXuN5/v1wT/rGht+J2Wy84EchP9CQ7OXxWI5b/+4NTjfr/F8vz74Z1yj3BQtO5/IPU9kMplMJjtD5CAsk8lkMtkZIgfhv6DVapk8eTJarfZMF+WUOd+v8Xy/PpCvUSY7V8m9o2UymUwmO0PkmrBMJpPJZGeIHIRlMplMJjtD5CAsk8lkMtkZcs4E4SlTptClSxfMZjMxMTGMGTOGXbt2/eVxX331FS1btkSn05GVlcWPP/54Gkork8lkMtlfO2eC8LJly7jttttYtWoVCxYswOv1MnjwYOx2+xGPWbFiBVdccQU33ngjGzduZMyYMYwZM4Zt27adxpLLZDKZTHZ452zv6IY5nZctW8YFF1xw2DSXXXYZdrud77//Prite/futG/fnrfffvt0FVUmk8lkssM6Z6etrKmpASAiIuKIaVauXMk999wTsm3IkCHMnTv3iMe43W7cbnfwvRACj8dDVFSUPF2eTHaWk39/ZeeaczIIBwIB7r77bnr16kWbNm2OmK64uJjY2NiQbbGxsRQXFx/xmClTpvDEE0802l5TU3Pez8l7PnM4HDzwzP/YVavCo7VidhZxSe8sfl6xAVvToUiKP57MuHYsYcbkicTFxTHt48/4KkeFNjyOmqpKvC4bfp+HmhWzSBs5iQMVdiSdBU9VMerirTTrezEeey0DDAf4bVsOovXwYN5+r5uin98h7sKbUGkNwfN5nXZaVq2iebMMps9ZiLnHZTg8XjRqDRazCUmSiCv8lWnPPsi7H3/Oz2t3UFpWQZ7PgiqlPX4BCr0ZBPhcdTj3rsHcpCPONV+hi83Aba+l3YXjqahzYHd5cexbS5dwF/974kGKS0p54LOVGFLbAiBEALvdgWv7ImI0bmxJPTBEJ+MoP0h46UZee/Qu3v5kFtsOVOAXguaxZv5z50Suefhl/M0HYrPbUalUGAx6hM9He9dmnnnobv775rssqEuksNqOT21GiAA+txPbmtm0HXIFpqJ1zH79caB+sZTr//sV+qZdAdi5eBbK1oPr///0RUf9OR/p93fSffexPmwIqx4eeOIfIpnsFDgng/Btt93Gtm3b+O2330563g899FBI7blh5RbZue2Jl6ayjqZ4LCp0Wi0iJZNPVq3j1v7d+N+H06jVRhGWmonZfpCJg7sSFxcHwPVXjGX9f55hxe6NxCQkoLGVE5a7kMEtXSzY+iWOEoHSGIbZGk5Kn9EAqA1mquocPPd/N/DM259QFjChEH5SDT50TZrgPSQAA6j1RspLlLxywzX8umUfNrMF4yH7A34fOkWAYVfcyC51U7RxWfitJXjKixE+HwT8SBpD/ZrEXg8KtRbfgc1kDb8erSWS/ds3sePbtyCpA9jLiYpLxtG6K7c/+Rp92jdFHZMBQJ3NRklFDX6lFpcyFk3VVkZ2qKbaXkzrthlcOvIp7nx0CjnhXdC06AjANreDW/8zhQMldtzGEgJKLQg36vJKkuNjsbm9ANx45ViWPvA8+tiu1Pg8KFQa/OV5aJQSu1fMwxyo47HnX+Xuidewc+dOnFXF6IRAkiQEEpKkQAQCf/lzPtLvr15yU+fynvDnRyY7Vc65IHz77bfz/fff88svv5CUlHTUtHFxcZSUlIRsKykpCf6BPRytVitPi3eesdlsfLVsI+rOTZHUWmxOL1W1hURFNefhV98nsfclmDw+vAc3ccXFFzD+4hHBY9VqNVcP6UHPz+6npFhNywi4aKQBldKId1s5IqwDnpZDQ87nLNrDgAs70rpVCz599SlKS0vRaDSEhYUx4d6nqDxMGdWK+q4ZI3q156MNu9AmtAju8+75jUJXCdm1WgydOiIQ+CQt7p1r0KZ3xO+sxe+oAaWKuq0L0KpUxGe2R2eNAiAqzIQ+3Iq1RSv0YdEoVGoA7EldKC3ZidejRKltSnFFDZLeihLAUYW35RDe+2Yufbu0w+v1kpOTwx6XGYPxjxYhldZAnjKRkrwfCGs1HMnrxlWah09vJmfHJq67qP46wsPDefuxO3hx2gwWbNyO3SvwuBzos4agN4eREBfFrM3L+ejif5HWeSDFTgUF82bQrNdwLJEx1FQWotKb/vJnfaTfXz1u7B4//oBAqZCbpWVnj3Omd7QQgttvv505c+awePFi0tPT//KYHj16sGjRopBtCxYsoEePHqeqmLKz0Bvvf4JbG45CrUVCQqHSENBZOFBcRiAiFVNcOlEpzYjuOY5PlmyjsjI0TGavXca1na3c39vIqEwjKmX9H/Em2ipG926La8cS/B43QgjsxftpIQ4yqN8fnQVjYmIICwsDYGDnTFwl+0PydxXtZUj3dgBcNW4MV7ULQ79nAYHsBYTnLOLGAa2pNmcgVPXr6Pr9flAoMbUZgG3D93hyNuIr3IHt14+I85XSaeS1xLboBNT/3miLNmHJaI8xKiEYgAG0YbGotQZiavdQWVZKQK0HwFtXQcBWToVfiyulBzt8sXyU7eO+p17Ab4zG4/HgdDoRor5mWiv06MNjKfv5LSo3L8ArJOzF+yld/Q2d22YGz5eUlMirTz7Ijp9m8OGjE4lNTiclNRWjXkv2+pUU5e4lkDWSPJeGpA59MbTqy86Fn2EKi4TNczHV5Z3wZ8AoeQDk2rDsrHPO1IRvu+02Pv30U7755hvMZnPwua7VakWvr//jce2115KYmMiUKVMAuOuuu+jbty8vvfQSw4cP5/PPP2fdunVMmzbtjF2H7PQRQjDlf1P534w5eCQdiqoydJYIVEoVQoC7ooDo+JSQYwJJ7Znzw8/ceM0VwW0R8SkUl3iIt4bWsEo9ei4ZMYw+3bvy4azvsFW76dszi+FDr0KhOPz322suu4TSyg9YtmMRDk04Bk8VF2WlcNklI4NpJlx+KRMuvzT4fuWq1Xg1VajwI4SgfkCDApUpEnNmHzQHN5DYOgt/ejJ39U7k0/nzqdAnISER7sznsTsn8PQHc/nzMAhn0V76DOrIfZ07cO2dD3KwRKDUaDAYjKha9UXSGpEUKkTAjyEqiYqy5uSvX4q+7TCEpEAZqERBgIqc7QhJjxQVhj6jI0q1FmV0ElJKK56b+hHvvfxUo/tgMZuwpLRCkiRKDuyjZvdarL2vRKE1QsDPgaIymqclYa9rxf39Ehn41Bds3LL1GH/yjRklFwiocngJM2hOOB+Z7GQ7Z4LwW2+9BUC/fv1Ctk+fPp3rrrsOgAMHDoT88evZsyeffvopjzzyCA8//DDNmjVj7ty5R+3MJTt/PPbsS8yb8ykTowtom2hg6faH+UXRBXfHq/EW7ca1YwmxN04OPUgIVKrQX4shl1zFu/fN4e52ThS/N2UW1nhxxXXHbDZjNpt54r47jqlMkiRx76QbmeRwUFpaSmxsbPBL5JG0zmyFacZPJLXpRs6Wn9G16guo8NaUIvb8QsuhV6HWG1Fk72Tk8Ju4ePRIdu7cCUDLli1RKBSM3rWPz9ZvQJfWAUmScFaVkObez4X9J6BQKJjx+vNcdv9/UbUejMvlIq+sFiXgL8rG2nocAHXGFNw1K1BWF6OLa4rXacNZXoQ24MYpSZiyBoIQSH43Kq0BleTnoE2Fw+HAYAh9Dp6eno7R8RPFqjDsBbtRRaciKTUIIeo7sumtlFZUEmGy0qZNa/R6PT27dT2me3w4RlwAVDk8pIc8cZfJzqxzJggfy3DmpUuXNto2btw4xo0bdwpKJDvbffPpu1zcxMN6RwariiyEqau5RLWW6cucpHQchCsuvL4z0yFUBzcw+vbQYW1ms5mL732DN959Fp09H6+kwZDRjRv+7+FG5wwEAsxfvJTVm7bTrmVThg8ZhFqtbpTOYDCQlpZ2TNdhsVgY2bkps7aU06xjLwq3L6e2tAhRU0z7y+9BUihw7VjCpBE90Wjqa3mZmZkhedx41Tiap6/iy3lL8fgFHVukcv2Djwa/tFosFm4e2ZNp383HE52Jr7IMZ/Euklu2R6FS4w/4sVWVkdS2JwqVh6qt86gqykWX2o7IDgMp27gIEEhKFX6XDYWrhsT4GIRdUd98/icRERH0SLPy8bb9CIUKXUpbHDnrMDTpipCUIMDl8aKrzg12jCwpKWk02uFYmXECUGX3nNDxMtmpcs5O1nG61NbWYrVa5SFK56BumYmoO1yKLqUNIlDflOveNh97ziYuvvFeLh7an8den0FNWFNQqjFU7WXSmH4MH3LkYSyBQABJkg475tThcHDzA09TZG6OPjYDR9kBoiq2Mm3KQ8Fnwn/HmnXr+fLHJfj8AYb16UJ0ZARz5y9Fp9VwzaUjjtiLf+2GTUz7/FuqPWBWw/WXDKFPj24h1/TbytVs2JpN87Qkau0OPp/7I3VNBmGITADA43ax7Zu3aXfxJAI+DwqliuxfvkGR2gWTToUpYCc3Lx9lfAsI+LEYdUSHmUkrX830lx4/bLmEEHQYMIr9VT6sF1xN3eYFKLRG9E06I7xu7Bu+o2lmFqlWFbdcOpi1m7fxn/+bdFz3rOH3d96DfblV3Mdzl2ZxWZeUvz5QJjtNzpmasEx2vMo1CaSn1D96kBRKJASa1hdSuG8Xk++9HYBZbz7N6jXrcLpc9Oox/i+bhhtqjkIIvvnhJ+av2gTAwK5t2Z2TT1liLwxGKwDG2DTqwmJ5Yep0nn34/w6bXyAQwGazYTAYgs3gtbW13PvYM6zelY/BZKZz8xQeuPU6unbuRNfOnUKO79ih3VHLu3nrNh5+9zu0rfojSRI2t5NJz7xNeth7+ISCgD6cvbt2YGrVh/hmbfl+aT4Jzv1Mf+15Xn9/Jht3bcPrh4wwDYF4CzsWfUVAZ8VRuAd/IIBGYcLttVPlrMLlFaj8fvRJrXDUVLF7+ec89kz9ddtsNp5+dRrZhdUAtIq38sjd/yI8NgGpbBfVv3yCvlk3lKZI7Nm/4CnaRXinEeiat8UbHsZ/v1xIuvXEezWrpABmrYpym1wTlp1d5CAsO2851REEAiL4HBfAJ5RIYYnB9yqVil49ux933pNffJ3lVWYMCX0AmLpqL5XrF5M04s6QdCqtnr35tYfNY+6PPzNz3m/UYkQXcNIvK5Wxwwcz+uZ7qYjugKFzf1x+LwsdNex57H989tJ/CA8PP65yvvvFd2hb9kWSJOwVRexZvRB1035sDgSQnNU4tizC0usqnFo91Q43UYktKLHH88YHM3ns9y8qAIWFhfS//F84dQkg7Gib90Id24RAXTk6SwR1B7aj9ToxRsShr9mH3hxGxJhb+enXNfS7oDd3PPY8RXG9Ubesfx67yWln8JW3UKRJQNeyD5Leiq+qCG/5ASTAmNkfT3k+Tlf9ECdFRg+qdn1zXNceShBm0FBa6/obechkJ985M0RJJjtezVMTya8N4PD48fsD1LoEBdUuRgw8/Fzjx6qwsJCV+U4MCc2C2wzxTanTx+OoKvlTaoHHZaegoCBk67oNm3jjp824mg9B3awX+W4dr85dQa/LJpFf60efkgWAQqlGGMIpCs/ig8++DsmjsrKSex59hk4jrqHjkPG8Oe39Rn0nat2B4IxdeRuWYew4CskYgaTSoU9shbrFBbiK9qBQ66ix1Qcotd7EsvVbmfr+DNat38gvK1Yz4vYncbcdi6ndEAIKNZ6yXLRqNXqTlRijCn1MGgpHJS2y2pPaeSDRzdoDgmqHl63btnNAikGt/6NDlEKrI0+VhM8QjbeqGE/xPrRxTbF0GYO582hU5kjc5QfQaeufcau0epITjz4vwF8JM6gpqXX/dUKZ7DSSa8Ky81azhCg2r1+Gs80AVEolXq8H27of6ffEbYdNn5+fj8fjIT09PaSXfWFhIW9/MovSGiexYQbS4iLxRzQep27NyKJixyoMvepnznI4HOTt3oaqqIwrH3+XJL2XFx64DaPRwPRZ36NrUv9lIGflPJyWZPRdxmIvyyewfwOVmxej1hsxpmah1Jnwqwzkl/4xTtZmszHs2tvR2gvpbalGUsEXH+zmpyW/8N1nHwXTRRhUVPh9SJICLyo0CiXC74ffByypI5Jw7FoBQEAIfG4n2Yu/QhGWyKfZLj7+bQ4le7citR8N+nACCiW69E54SvbiKT+AOiwWrU6LQadBqDUgIHftfGqrqwmotJR4S/jKoECY0kLulcvlQgpPBmc1uGyo4pujikwGBBKgTWiB+8BWjL/3abPnbmZrwd7j+Ok3Fm7QUFTr/Ft5yGQnmxyEZeetX7fuJSxrKPbcLXgUEgqFioiuY3j9w1lcMnp0MN3BgwU8+OJUDvoseAMSsaKSiRcPZM3WXezPL2TT/mLiL7gcdZyBPLeTxd9+CXGZEJUQcj6r5KFdExO7dy7CpokgZ/tGvPYaVBGJ5Nb62V9QxQXDL+WpC9Rkb1di75qBxRpGncuDsWl9UHeX5OC3V6Fv0gWAqm2/oIuMxxweTXqTyOC5Pvj0K0w1u3nxAi8aVf0XBm8bwQPzlrJ5y1bata2vSd92zVjueHE6ipYDQfgRCHDVodbWP/tWKJQE3DYAVAqJ3DXzCcS2xJW/lRyPB09tBX5DAia/QPK6kHRGJIUCbXIW9uylRJjD0ekiiTBqcdUUkrd2AQ5TIvqUbkjuOmKT4li24xeclUupMMYSCPiJa9ERSW3AXZCNpXk3nMX7UEelIAENFXnhc6NLbEFdcS6B8hyMpVtxZf0xk9lxE4IIo4ZdxXUnnodMdgrIzdGy85ZTYUAXnUJklxFEdhpOeIch6GIzKHP4gmmEEPz72dfZps2i2JBBmbkpWw1tufaxN1juSWXFATvO1qM4UFKJP+BHpdVj7nklNdm/4XX+sZa1z+Ug2V/Iy08/xpcv3MvodCV6gxFD28GY2l+EJq0TiiY9sCV0YcXuUi6Kr8XkLqF4zxYU1vppVP1eF/66MixdL0GhM6E0RWBseyGOklysB3/j+ssvJRAI8M6Hn/K/aR9zSWodKikQjFxqpcS1rQVTfx9TD9CsaRPeuP8GWtasJdJbhrK6gEizHuG24/d78RdlY1KDbd0cdPZi7OUFuPI2o80ciDqtM/oWfVDoTASQEB4nwu1EodHjqy7Ba6vG5/VQsGcH0YUrmPnC/QTK9mO0RmCS3KQlxaFSqnBprOSXVlKljaHGmMzmX+aR/9tsRMEWlGotxtS2+CoP4nfWEvA4wWPHhJsIUUN3UwUvXz+AjKbN0YfF/K3PQ7hBTVmdG39AHhAiO3vINWHZecugqp9d6tDhRH6fh1jTHzNf7dmzhy01GgJhJhRKFUrALanQtL6QA+sX4RMKdGodfqWK8ooqYqOjUKrUtMxsTbpnKztz6ztdtYkz8+iT9yNJEkajEYPFisvjwxCVisdRh9fnR2kIQ996IHNXFzK8Jo+oiq+ojBuMv9qGKzwJR94WtMltkQC/yw4KF5JCQhOdRtdkGxaLhSmvvsPiCjPqsFgSjAdBoSQQ8KNQKgGJGJ3ApAntRdy0SQYvP34/2Tt3Mebm+ygKy0AyRuLM3UCUysuoIf0ZN7QfKqWC/3tmI/sNrZFUOiS1BqVaQ6CuAiEpCPi94Lbh9/tw7PoVg16HqmATPqXEBQNa0a1rF9IzmiAlxv9xv70eivbvQt92GAqDFb8AQ9uhVKz+msykCIp2L8HtcGEvzUcVnohSb0JrNOOpKaWlopKbrryDzMxMrD8uwu/5e89zw40a/EJQYXMTY9H9rbxkspNFDsKy89YlF3Tgi9w92IpycJUdQGm0oHDWMOXB64Np6urqcEkadMo/fhUEoDRFUL0zF0NUMkIIFAoVLk99xyUh6nvaPv/IvSHnCwQCLF72C3tzD9IqIwW/qw5HdRl+IZCUanyOGpRqLVqjhb3RfXk0cgk/75vDzANh+CLT0Fqi8Ak/AZ8HpSkcnUaDpJDweOysyN5FUVERv+0uQteyNcl9xjJvyW/cHmOA31cYEj4P8/e6+NVQTaeh42nZvBn9u7Th+ivHo1QqmfL2TDJG30VJ7m68XjfNRk5EKt/L+GF96NypAwDNE6PZUyVQav74oqKOyaDm10/QpWSh0JvxFO/DV1lIy6vvw2iuH461fMdC7gJijQpKAn90Bqs5uAd/WCIaQxhCkpAUSgQCfdYgNi37iHiLA71Sj+mCK7DtWYVCrcXmdeEsO8iuVt246bVvcO5/jA4t06mp2Aec+FKEEb9PV1lSKwdh2dlDbo6WnbcevvtWfJu+xeOoQxWVAgoN+ohYZs1fjs9X3yTdpk0bfAXbQ46TAHfeZnSWaGIzMnHtX1cfiH+vYLr3r+GqkaHBoKKigituf5inf9rH14UWnpqznpqDexBqPUpDGEqdGYXBiqe2DK0S9Akt+OWgREJcHFld+xAZqEZRvg/7lvmgVCMplLg9HjweL54DmzC1G8JX33yPWxMGgCEijp2xw/h2UzluWw3u6jJ+3lbBIqkHNW3GYWt/Fb/sKeeT7W7uefx5qqqqWLcrl3U/fUFBUSHFB/az/bd5lKuj+fqnJcHreOGJh1EeWI/weiAQgIAfV94mwgfciC6lLaqwWCzdLsHa+wpyl9X31q7I2c6Gzdu44YFnsWok3Ft+CDbV+5w2hMuGpFQiJMXvvbclhM+DwhyBM6IZfo+bFs0y6DJyAlkDL0al0hAz/E5cXj8F5bU4O1/DSlV7fLrjG571Z+HG+iBcWicPU5KdPeSasOy89fTLU6kzxKMOi0VpjcNXnofDVsaOKis/zl/MqIsGo9VqaZtgYsvmn9E16YqjcBe2/RsRfg8JHXoTmZ6J37uR4t8+Ij41GavLwK3D+9K3V+hKXE+8Mo26phdiVNfXIKsd8aiT22Lb8D2G1gNQmSPwVZfgyP6VqBgzdVVlrMh10KPZYDwVBpI7XkAygo0L51C7Zg76jM5Iwo+3eA/W5OYoJAUxUVEYth4MLsRg7T2BxUW9WLTxa3yle6DfXTgUUSjU9bU8feZASvevZV5tKeuuv4eDJZUYW12ANr4pkkqLr6qAkh1ryY3/Y53esLAwnr/jCu57aw6KpHY09KJWaPSg1qFSRCIQqKyx1FRVULh1BWW1DlRtRrBaGAnU1RFVsYQhqr1UVjkZ1T2elz5cgSfQDSQ1SPWPCJz71qHUW3EFlAhTPJt++oyouCR0RgtSUhYuuw17dRmWjsMJSAoUWhOG5j3/xqdBYNWpUUjIw5RkZxU5CMvOW7MX/oYhayxqtQrJ7yUQ3hVXxUFK9q1k/dZ4Rl00GIB3nn+cq+/+D5uWfoiuRR/MncfgKchmz6/fUpS9Hr3JTKf0GN5/6SEiIiIOe6795U6UMX804VaVlaCJzUBjjcGZux6nz4fSHIWly2hKti2gaN1KmvW9nyWeAHnbfqRZejf8gQD6Zj1w1v2EpFCgEAGiul9MwOvGu28Zox6cQrXNyawd29Ent8Zms1FiF3gdSiRzG6INkfidEsLtQKk1gFJFcc4urD3Gke/zEdYsAufulQTyt6OJbYLSGkvtpp/YUO1m/pJfGNy/fshUu9ataBO/gG1VB/B4/QRctvqFGX5/7iwJ8Hu9uOoq2b9xBaauF6O2RhFQKBFaEwdjulNXU83LT/wHgPjoSG548i2klE6gVOItyUFpiUEKeBEeB5b2Q1EIP7W1ZVTt3UwgrTu+gmx0yW1AocQvBMIfICACh7v1x0yhkAjTqymRJ+yQnUXkICw7bznQYJKcRKsEai24fA5KLVaKa2vYtHkTNz/0LAoJhvXqSFJ8PAcSBqAwhKNQKtBYIlFFJODbuZTWI27E7fVyx+T/8slrz4R09PJ6vfXLagZCFykwRCfh2z8ffUwakR2G4LbXEggEcO5dg1SVR9uRt2CIrO8VHdPWzp5lX5PQeQiSWoshsTm27YvRxqRRlreFgK2CS0b0xGAwcMt1V5L880Je+3gme/Ir0IdFY+5+GaXl5Wz5ZhqamAyUegvCVYvweTF3HE5ACCS1FkmhxNiyN7XrvkWb0AKfvRqF1oCu5xW88P1myiqquPziEfznlQ9QdR5PB4WCvPyD5BTvw1t+AE1MOoIAQoA9eykqtRZlZCJKYzgBUf9sS0JCF9uEeSve5/nf78WIi4byjoDbHvsvTmMcklpPwFmLOioFUVOCRgHRYWFUa1QUbf4JnL9gaNYNr+v33ueShN9tx2SM/tufiTCDhtI6uSYsO3vIQVh23tJ469Ap/OTbVAhJgUL4idS6qXBVsEU7hMy4LigUCl5dtoP92flou/ZEoVTjDwQQSGjimuLeswpbyQHMcWkUaZNYv3ETnTvWd2L66POvmTZnEeXCTM3+TUTpm5LWpCkSElGRkeT53Lj3rESTNRCt0YIrfzuagvW0u/ZxFKo/VlaKad4BZfUBmlespHBbHuFJzVHFxBGIa4IpKpWArYKF29ax7LcV9O3dk7jYaHYfLEOZ0gm7x03V2gX4XQ6sfa5FUmlQaPRICgUV814l3DoSr9uFQlnfixqlCoVGB0o14ESl0RMRZkFvjGf20p9Jioui2toM0+8dq0xGA+ZOI6he/gWaqGSUejN+ew3u8jyyhk1g/7olSEolfr8flVIJgM9WhRIoLS0lJqZ+WNHFw4dyQfcudBpyKbXGFLy1ZajCYtG37E3AZyPMaiHMasETGYU5oz0lhTm4q0rRxDUDnxuNUsGJzxz9h/pZs+SasOzsIQdh2d8mhGD37t04nU5at2592KX7zgR/RT5lbjVqayySVN97+WD+dizectRxTamtqyPMasWQ2ALn6qVoAgFQ/r5spiSBCIAk4XXa2L1sLlVVFVy1biHXjx5Iz64deWb2GqSMISjUWizp3Sj87UvcB7aS0LwtBttBruiRwe78EvZs+Arh89AuKYLMSy5ic7BZtWEIlQJjWBQvPHoDUz/6gq9X70NK74bOGoejuhQUGkoTejH+/57mou6ZFNQF0HQZj6Qzo/B60aS1p3LxByiNVgK2KkTAi/C50ZgjCNSVoTWGI+lMOGsrQWMg4HXjs1djXzuXjAvGYDLWTydpQ09FRSVC9UezekR4OAeLy7B0GYVz3wZEAFTWWJQaHSazGZXPiacsD21k/ZSSfr+Xqk0/o/cGuPqp6cSr7Dzz73+RlJRIIBCgRffBOOM7sPfXb9AmtkSt1SApjDicToTPg8FXS1hiEyJTW3Fw01IqVn2GOr45Eh5M/mzgRKccrX+2HW7QUFQjB2HZ2UMOwv8QdXV1fPr6kwSKdwCgiGvNVXc+hslk+lv55h3I54EXplKiTiCg1BBmn8Vt4wYzeMDfm5/5ZKgWBpQ7fyGQ2h6VNRZPyT68pftxCiMxAvi9biWEwF9bTsXquSi1elTGcDRNuuDK3YQKLzmbV6LOGoo+SQK9kXe27uXNGQ+ju/AOlL93xFJqDMQOuA7bojd55t+X0qb1GMLCwhBCUFRUhE6nIyIigv37c7j55c+pi8yk1uFCCAkFflKqcomKiuLReyax8ca72a03UltVitIciUKpQgiBxxTH7OU7sLbph8bnRSkCiED9ZB369I54y/LQhcUSsFfi2r8WfWwGNdt/wdx2EGqVFr0lEnveFqTaQpwbvqXd4LFY4/+YftOIi0H9+/Lezy9BXNrvWwU6gxHH/nVYM3sjFGqUBjMarZbC7N9oPewaNn//ET5LNH6jEYfNhsZkJalpdwLhMazc/CsDr72b8YN70aFFGi5TAlaLmax+o8heOhdl8z4oTGHs37kd995VJGf1Y+/SrzHHppDRaxSJdVWwYz7P3HUtnTt3/tufiQijho351X87H5nsZJGD8D+AEIK3J0/iXyn7sbT+fbk853LenjyJf//3o8OujXus+T744tvYmg3FpKhvigzQmpe//JkuHbKOe8Wfk86aQETX0biK9uA9sAltVDKm1NEUl+ai8LmwmOvLt3PxV5i7XoxKZ8SDGm9dOZU/T0WlVBDXrC01+gQkhRqF8KNQqdEltuLgmu9IUDceaxrQhdOsadPg+sGSJJGQ8Mf0lhkZ6SRJFSxc+zOalHYE3DZ8Bzazw1VN/wn34nK52LNlPYZ+WSjN0UgKFQG/HyQFklqLLxDAixLhdiH5K0GpqV8rGYmAvQplTAo1m9cR0f0SFH4vCenNKN+1lqryQvR6PRaLlXbtMykrLsQc/ceCCK6CnQxqk8YbH3yKr7qYffM/IaHrEJQKJXVbFmCwxqDVG0GlxuN24fH7UPt9aPQmWjdJJCM2nIIqO7scfpJbZKExmNm1dgmGNhciAn5+8SpYOXcZPqUOEpuiMVpoc+F4CretomD9d1jDI2g36kZUWj1RzTtRsOo7Yvb9SLvWzZnw5tNYrdaT8pGIMGqotHtw+/xoVcqTkqdM9nfIQfgfYPuWzXRW78Gi/6OZ0aJX0UG1h+xtW8nMantC+ebk5FCqisagCP1jFkjuwlff/cTN117xt8r9d3mddXiEEmVcS5RxEiDweL347DVEm7UoFArqinPxmmIJD48iJTEep9NJdY0af5sO3DuyA4+/PA2nPgl30W4kEcATkYC5WVeQJFyVJRgi62eHcuRvx16wGzwebn78NS7q3oabr708+AXH6/Wyfft29Ho9NqGnTb8LqTm4G6XZSn6RBm3n6znorEWodKjVKdRtX4a152X1F6JQ4qstQ6HUoI1KwZmzEXOHi1DqjAjqZ610F+xAozViJ4A+oxNSwIde4cMSm4JfH47h4A4eH9mKpk2asHTleuYtLWPv508TnZhCeloa/do349vlm3E36Y+2RxuSKksoWDoTpdtGwK+HVgPw6a1IIoBOb8F+YDumsmx6SE341yuTiY2N5cs53/LOFg+GiDiyF32Jsd0wJEmB3+sGhQZt+5FU//wWniblaCxRKDU6olt0oHLPeloOvip4rxQKBQldhpIayObOidcFf57LV6+hV7euJ/hpqG+Ojvx9trTiGhepkcajHSCTnRZyEP4HKMzbRzNL4+Ed6WY/+/L2nnAQ9ng8BKTGHyGFWoPDUX5CeZ5MorYUx57VGFr0qn8fCFCzZg6RBiXdpT3s3bURe+5ewpoMICkhFgC9Xo9er6dOtAGhQB/fFFOTC+uH/ADugp3U7V6NISoJ95rPUXa6mADgrCjE2LIPVoOaQFIiX+/eh+rTr7jxqvF8/9NC7v/fh5Q7BV6fB7+9msi4AloNvpKawv0oEtsghMCLCr/LgTYpE+eBrVQv/xxNdBoBl42A14WpzUDq1n+Lt6oQ5/4N6NM7oFKAZ99qzDGJ1Gz/DWfeRkwdhiOZzaDVkldajVJnxKW08Mibn2F3eZBaXogqZQREVJC7czGp8XZyCorxNB2IWld/nYaIWAzdr6By0wKMAR8125dgaHUBSkMYtpzNGOyFZGR14ZF7JgVXnBrQpyfvL3gLIuLwCQVqqX67wu/GaAxDoVTSonUWWeYSNu7bTEBA8zA1/tbtQ1pjAoEAPn8Al9cT3DZ/8S+8OHc1C044CNeL/j0IH6xyykFYdlY4p2bM+uWXXxg5ciQJCQlIksTcuXOPmn7p0qVIktToVVxcfHoKfJbI7NCVjRWNm043VOjIbH/if9SaN29OuLOw0Rq2nr2r6N4+E4/Hc4QjT4/ojEz89koqF75D9a+fULnwbbSx6UQmZfDiY/cx540nePvJ+4hSuVFIob8KansJKzZuJ/GC8SjctuAQJG1iS5wl+4mS6vjilcmklK3EtuoLTKlZRJi0pPw+b7I2rgkL1myvX/P31ZlUqCLRtLyAsL7XETH0TtwJHdg2/zOcNRUozdF4XU4E1E+0IQSGJl1wl+zHW1WA8HvRp3XAfXA7vqoiVKYotAktcO1ZiSt3ExqNBkd5IeqUtli7jsFXV0l17g7Kax14UeL2eHHkb6NcmAhkjUYZk45QqhHmGHTtR7Gh1M+ilRsQKjWFJaXkFRRTWFKKy+NFqHQo9RYiO12Ev3g3zu2L0KoUtBgwvr7p3usN3rOoqCgu7pqBY9eK+jHAIkDAVUeESY9SqUQIgVmj4ME7/8UXr0zmq1cn89ITD5Og99VPu4mgsKiIvflF7Fy1mFVb9zBz1jcAzPh+MbpmoROknIhIkwYJOFjl+Nt5yWQnwzlVE7bb7bRr144bbriBSy655JiP27VrFxaLJfi+YdjEP0VScjI/xvRmc9ES2sXXT923qdBDVfxAEpOOf6F0r9eL0+nEbDZz73UX8/QHc/EktEdSashb8hnG8Cj+88VqTDPmMaJ7JhOvuexkX9Ix0esN6DuNJuD34fd6UWm0gCB8T2kwTccO7UifOZuD9lQ0xvrnjp7aclqZPfgkAyqNjqZpyeQcKMCHAhBo/A7ee/4h4mOjWfjl+0x8aAplyRlIfwrkDp/E+zO/wBPfHlGWjzosHp+9Buf+dfjtNeBzY1+7CHViK1SJrZH0FhRqHX5HLc7cjYT3nYBSb0J4nNSsmY2vrgpT674otEbsu1eisURizGhPyaIPMbUfhiYqBV9tCf6CPXiddSjCEgl4nDj3rEQIUGoNKNQaAn4fSPWjeoVKj8vmALebyvwiJEMYklqBRwRwuWwE3A6McUnU2quxtuoNgNJTv2hFlMaPVqsNueZbrruKAT338Mwrb7Nu368kdhoUTOPeu5Jrrrqw/h57PHz30wJy8gsYN7AHr8yYwfZiGwFdGAFHDTo86MfezvTlG0lPXkv1SRraq1YqiDBqyK+U1xWWnR3OqSA8bNgwhg0bdtzHxcTEBDvK/FNNfOAZFnz3NVPX/AxINO06hJtGHvsXGahvJnzu9Wms2l2EW9ISoXRxw8UX8tXLD/PNvAV89/MifN1HYopLrU8PfLF5C+lJvzCo/+nvLd29RSIrbZW4Rf2cxX6vG53Pxsi+XYJpJEnijacf4r9T32fbvgoUEnRsEs/d99/HS299wD5HHXqDmczmGRSVlFJb56CuuoQrJr9DbEo6CWo3em8NDmMJhoi4YLOqEII4o4Ly8kp8bgmlJQqfsw5XwQ7UUalIqmICjhqUMenYdq/EYIhAa4rE77LjOrAFhVqH2hyJ8PsQAiydx1C7+mtUhjAQPiCAz1FL8cLpaBJb4S7chad0HwQEhlZ9se9ejn3bQpAkwnqMw120F3fhTnz2KkR1ESpLTP0kG4DD48NZXYe0ajbRA2/6/b4o8FcXUZu7DdQ66rauxtCqH7qoRKKMajw7FjLp+sOv79u8eTM+mvoSP/y8iM9++oUKhx+t38Edlw6lV7eu5Ocf5I6nXqMurj1aawbfzVtPUZUDS4ehCJUBlVaH317N/hU/0KTXSD77fhFWjaDmJH0uYixa8uWasOwscU4F4RPVvn173G43bdq04fHHH6dXr15HTOt2u3G7//jaXVtbezqKeMpJksTgUWMZPGrsCefx4pvvsaQ6Al3LNmgAG/DCl0t5KymBK8eO4ZtfNwUDcANdShazF/52RoLwRX068c0z72HoeikqUwTu8gPUrfua8Q98EpJOr9fz6L9vb3T8Lddexsr7p+BuOoAqu4saj6B4wXtYelyGsERR7HVTq1Fiy1tFYNdslHoT1uSWqCMS0B9cw7MP3YRWreKTO17E5fFjTW6Dv64Cpd6Kt6YEpdaIpNQQPvQOnLuWU730Q9RRKbiLdhE55HZAELDbUBjqa8ja+GZ4KgpA+AjvPg4R8FE+/y00EUloE1vWr1Dk91K3/nvw+1DoLRhb9UFpsKJNbUvdpnkojJFoE1vgLtqN31aJ0hKFQmtEk94JhVZP9ZL3UUcmogj4UOmsGFLaoIxKQ1FbjatwJ859a1BrvDxwz4307NYl5H5t35HN59/9DMBlIwYzdFA/VmzYQvlBOzWmBKb9sJLcg8Vs3bOfAmUsNdvWolSpCHi9BDKHABIqrQ4kBWpLNI68+hWl3D7BFUMv4JWf1gG9j/ozP+Lv7yGPTKJNWvIq5CAsOzucU8+Ej1d8fDxvv/02X3/9NV9//TXJycn069ePDRs2HPGYKVOmYLVag6/k5OTTWOKzlxCClTvz0UUkhGzXNOvF+19+C4D3MFP7SpKE239mFlF/8o2P0LUdguvAVuq2LMBbWYg6axh3P/LMEY/x+/38MH8hDz79EtM/n83LD9xMT8Ueypd9Qs2yj9HENUETk4ZCZ0Io1TgkPbo2g9CHx6Ju1ouivVup3rIITFFM/+IbmjVrRv8mFrzleXjLDyK8Hmw7lmFo2hVjZj8kjRb7+u8wNO2GJiIBc6veqMxRBNwOArYqJLUOd8Eu6jbNw1OWi6+6EH3zXvidddSs/x5JoUSb1IqGiT9QqjG0GYCnNAeFRodCo8PvtGHbOA9zu6EYmnREoTWgTWiBNrEV9q1L8Jbl4qmrwF1ZhM/tpM0FI8gcOA51Shv8NSXU7PgVhd6CUqUmrMNQwvpdx/R5K3E6/2jSffvDmdz59g9s0LZng7Y9d77zI5dNvJM1vhTULfthSmuL1GIgc3fb+WHhr1QEDCgyBxPI6E1ZQQ5+SY3H68PldOKy1+GsrURojNhK82nXJJHhQwbywOhOf/kzP5bf32izVn4mLDtrnNc14RYtWtCiRYvg+549e7Jv3z7+97//MWPGjMMe89BDD3HPPfcE39fW1sqBmPrg5Aoo+fNcWAqVGrurvnNOUpiWfT5vyJSM7roqstLiTmNJ/5Bf4yEsJh1tbJP6DRIEvG5+XfBzMM2+ffv54ruf0WnUdGrTgnunvI4jsStxzdqiqvbx7ZNTCVd58GjMeBx+VGpDfSei318KlRpfIEBdbR1GhQZD5gDq1n5Js36XsqWunDnfz+OTt16mz2W3sK94J+6CHYRfeAsqcxSIANrEViiNETj3r0NIEnpLOM6wGFy7f8PcrCu1e1agTcpEm9gSJAnHrhXUrPgcpc6IpNGjNEcjfF4ktfb3zmMSCpUGSaHG1G4ICpUWT8VBvJUHsXYchhASKBT47NWow2JRW6MI7zcBtVqNzy/w1RSze9lcmvS9hIoVX6Nv0QdDdDqotQjhp279D6hEJ6p80Yy47nZGDujNFWMuYs7afXjiO1NaVEZACDTGNPbu2kmr5vqQn4nd7Udk9EIbUz9JiKTWYmjaFUfhbozpHeoHEkkKEAJbzmZS4/zccNWjAAzq1+cvf+ZH/v3944tglElLuc2Dy+tHp5bHCsvOrPM6CB9O165d+e233464X6vVNupsIgOVSkWMTlApRMhwEmdVMR1apAHw8G3Xc8vkl7EndkMbFoOrNJf42p386/8eOSNlDqDAU5qL68DW+hWAhEDXrDtOj5e8vDxm/7CAH7Ir0aR1In/lMp79ZB7GNoPQx6SRU1iKhMBrbINz5y9Etr8Q147l+NwOAn4fCqWqfmpLScJdegCFNRaF3ooI+PGbYtj8/XQyug7iubdmsHHHHi7IakKgRM2OyiIkQPi9SEo1BPyowmJx7l8Pfj8iEEDjrmFQ6ziycxZSI6wojRG/H+Mj4KgirNcVIIFCb6Z2zRwCrjoknxtJqUb43PjrylGqVfiqSxBeN7Zti1BZYwEJjVqF1+9Hqbfgd1SjMIajUqqQkFAIL1qNFg8KtNvmolGCLjqF6u1LEAE/KFQEvG4qspdjatGLUkMGP5SFsfDuhymN7oqjzoVCY67/XIgAvpgWFO/ZjCquOf6AwKjXUV2Qgz6hLYGAH5/bid/rAUs8jjVfow+PRReditfjxr5rBZFhZl565G70ev3Rfswhjvj7K0KDMEBRjYv0KHmYkuzMOq+bow9n06ZNxMfHn+linJPunnAp3m0/43PVN+U5yg+SULGRK8eOBiAuLo7HbrmStMo1xOz9njt7xjD95SeO64/oyeStLMRTloO50wjMHYZjajcY++af8dhr6X/Pmzz3xWKKyqrwe93U1NlRWhNQhCfiddYRUBvwKbQoDFYkfRgejwfhcaJNzKRuww/4bdWIgA9XwU6c+9ehSWhBwOfFW1OKKjwJp0+wd/cu3O0uZqOuPatKAti3LURpsPy+CEIVAbcdhCDgceEp2o0kfNh++h83D2nP9Nde4K7rxqGPb4JCb0ahM+DM24SxzQAUag2IAJKkRBOdhuvgDhQaPQqlEoXfg2PzT0R0Go59y894K/NRGsNQaI14asuQFBJatRq1SoFw1qJQafAHArhdDvyOWkxGPenNMrnvhnEkZzSndutitGkdMXccgbF1f1SRybgK91G+dAYHtq9jzdwPWLZxJ/tX/YjbJ3C53fj9foQAn6OWoooaqpw+XEoD5c4AtXU1WLUSwlaJPyDq579Wa9HEZOAt3Ilvx3xU+3+lZVZ7UjM7hTzfPVkijfUjBOSFHGRng3OqJmyz2di7d2/wfU5ODps2bSIiIoKUlBQeeughCgoK+PjjjwF45ZVXSE9Pp3Xr1rhcLt577z0WL17M/Pnzz9QlnNM6tm/Lx0/F8v5ns6mostOpTRPGjp6MRqPB5/Nxz+MvsMNhQhHdC391EbN+/oUBF/T62/NTnyhJo0Wf0QnhcYBChfB7MWYNwlWwE2XzC9CluqitymfvsjlIcZn4czcT8HkIeL1IOi1+Ry1KgwW/x4naEklki04Ur1+Aqd1FeAq24Snei89Rh/WCa0H4cRXtpm7NbNTRafiddhwHtlPqqMTUtjuRzXuyf8NyVAZBwFmLyhiO8HkJeBw49q0l4KghOr4HMd37syovlw8+/YpmaUloPRvx2avwI/3eqctCwOtG+H0Q8KNLbU/d+m+xb/ge4fdiEE6i9FCdv4OwC65BodFTu+FHjJkXULvuO0hsjiG+CZ6yA9jWzkWT1gHcdjQ6PUpjDE6fF0XOJjp0uJoE/fcU6fSorVF4akqwbV2Evll3zN0vxbl7JebOo1AZw/E766hdO4eqVV9j7Xk5Aa8P4ffhKd2P31aFOjIZn9uJ0lWDwlmNtH85iowB6HSm+jmxhQfqSjFdcBWReonI8HD8fj9VOxbx7fwoLh0+mLi4k/dIw2qof1xSJi9pKDsLnFNBeN26dfTv3z/4vuHZz4QJE/jwww8pKiriwIEDwf0ej4d///vfFBQUYDAYaNu2LQsXLgzJQ3Z8YmNjefjuWxtt/+DTr9ihaoo+/feOW5YISp2pPPfGuzz94P+dtvKJQ5rL1dY4lDpzfRCzFaIKS0BtiUZlCseeuxltajuEKZrKolyUAQ0Kaxx1m+ZjaN6tvnlWb8FbVQxKFW5bLWZLNNaIWFz5m7Hq1VjbdqNWMlKxbw2e4r1Iai3hAycCoDRFEnDbsW9dSEFpOcWFP+FN6YInfweeXSvrOzpZovGW5uDct4bY0fcjFAEsicnUWeJ4+qufSDAEqM7ejqVPBgGfF6U5Ck/5AZR6S30wdttRaPQoFQpMkXGYyndw93XjeH/mV5RWVyG2LUWh0aNNaIl922IsXS9GU7EXb+4G3DXlhHUchrO8AFd5Hoa4pijVAlfeZqIDDkwmExd1b8OG77aiUaup3rUcc9eLUai11K6Zg6XLmPp1iwN+FBo95s6jqVk1i7o1X6MwRSKcNegzOiOqC1A4q3HmbSRcr6b12DvRbvyUtevnQkQq+FzoVUoiomJwF+7EmZBOla+YvBXfEZueybelEcx96j0u696Mm/7OePNDmqP1aiValUJeV1h2VjingnC/fv0azc50qA8//DDk/f3338/9999/ikslA1i9fT/6pL4h29R6Ezt3V5+W8/+2ag3TvvyRcpfAqBQM65GFz15D3eafUOjMqCwxOPesRFIoCXjd2Pevx+eyE3DbMHQYjsocjcJgxZm3hbpNP6GOSEYEfHhK9mNs0ZOAWktNdRU+jZFAaQ40G40qIhxRY0MV8KJu2o2Az41SZwalCkmSUBnD0MY3Q+gt1OYdQGu0olQoCUgChd6It+IAfkc1utR2SFojLo+TkpJSat0BtJkDqdizjLQh17P7h/dRR6eBQoUrdxOWbhcj+bUotHpsG37AXL2PFvFaMjq34evvfmRfpRN1TCuMLep7Udt2LEHYa6n4/mWUBjN+pw2NRoPSGE54l1E48rZQ9cvHRCZlkNK8A6m++t+xG6+9ki8W30OJuwZJoUSp1iFEAOH3o1BrQQIREEgKBUq9BZUpHJ+tCkvL3qjMkdSsmUNUlxGoDVZMTTrh2zEfn9tJj7Zt8BrL8ab1RKFSo1CpEUJQsm05iQWLyCkqp9WACWh/X2CDlv34YtUyhg8qOimPkiRJwqxTUe04szO6yWRwjgVh2dlLcYSFmBQnuELT8dixI5v73vwaTat+mIxGXAoFn23bjb+2GF3KeNSR9b3btYktcOxeicoaR1i/66j59VMATE06o1ar8NnKUEckogxPoG7jPMxtL0TftBu+kn3YNvyIwlZKqwFjMfQcxMHNv1KwYQdKQxhZfUaxZ/smvGEJBPye+nmm/T6EEKgjknEX7URpjsK1fzWqpDYEnHY8RXtRmiMxdx6Jc89qAl43klJFeVUN2vC4+rWMhUDtqias80iUlmgCfi8oLsB1YCu2wp0IWyXhqc3Juu4p8tYuZNuOSmqLatAmtEEX3wyUSlSWKBRqPX5FHRFDb0OpMdY/y87bgqfqIDXbfyE8qz9KpYrExDg0JgvtrfXBSalUcvvlw3jlu/U0TPTqt1cjKSSE34ek1tW3OtQv1ozwOiHgo2bNHLQx6RiadScQqA/ofrcDtVqD2PsrE5++E/O3P/Hd/gJ08c3wOu1U5+8iyp7LY/++mXtmrvojADd8jpI7MOfHhUy68ZoT/JSEfnk3aVVUO7xHSCuTnT7/uI5ZslOjX6dMnCU5Ids8tirapcee0vNm79rDJZMeojy2M0W1HvblF1FVU4MuvjnqiCQktRa/rQK/vRp/XQWa+BaoTOFIkhJj2wsRNYVkJMaSHB0GgJCUSAolKoMFpTkSpdaAJrElhqZdiU5vSVhS/TJ8GT2H02zglURbDOjDY0lt3gZveS6SpED4PPVLFQd8eMpyUBmt+Ip2oTVZUcU2x9JlDJZul6COSKTm15m4C3eCEAivCxQKJEnClbuJ6KZZ2EoPYkxsikalIjYiDItWgTWtDda0LDLSkmk74npqCvZRWefA7bSjssRgaNkbpSkSv60Sb1UhAUcNpnaDUaj1oJCQVGq0iS3x+/04C3dTseZbvBX5+CoOkF69MbhykdfrJbNpOk9c0Qd9xU68JXuRVBrU0Wm48rch/N76AIyEbccv+J0OLF0vIeCoRR2TjsZgwaASCGc1jvVzybR4efqWscTExHDHjddwU+coKha8ze7FX1LtcOMMz+D5dz6htmAvJdlrcFaXBX/Ofq8bo6Hx/OcnyqhVUSXXhGVnAbkmLDsprrh0NLty3mDVroN4LEmo7aW0MDq579+n7nGAEIKH//s2zoASVV0Z6uh0JLWWsupazEYjCrUepSkC4fUQcNWhNIYjqTT1AdLnxqBVEZeahE6tJK+4Ar+kRmUMx1Wws75JWamu74WsUOLYtw5rbFTI+QN+L9QWsWX+VyhS2uOtLUNVU4JCb0FtjsLnqMaTu4HYpq2QNHaq4roiGa0EPE6Ez4M2sRU+WyUBn4eKBW8T3nEoCrUG28HtWA0awhKb4rHXUVJ2EL1eR0x4NFJ0FKXlFZTvLqEmoENfXknV3i14HE5MnUZi274U4XGi0JlQKSNx7FqJpFKjDotHUiiRkOof6ag0KE2RSJICY8teeNZ8yWN3j+HCgf2RJIlv5s1n+ne/UKOPQ+Wx079XD35Y+Cmkd0cdmYx9xzIce1ahtkQTcNkQChVhvS9H+H0Ym3bFnbcFsbuKlh3aE2dQcvOzd4TMsCVJEilJceibdqV1ekdq6+ooq6plv8dMzZ4fiejWmpKt69ELF037jEZ1cB0X3/XASfvsGLUqapxyTVh25slBWHZSKBQKnrz/TkpKStiWvZMmaX1IS0s7ped899UpJBf+yLXNbBQ5tjNnVQy5bW9FoTNTUVWN11ZWP+uURlc/w5XXhbciH4VGD65aJOFH8rlxrvqMOn0LCEvCVZCNbctCtHFNsW2ah6TR46+rQJfUkqoDf8y0JoQgd+mXNBvxL1z5uRxc/yM+Rw215QdRGq347VXgcRLZ5gKkiGQkvwd/VQGG+GY4HTUozVEgBJrIJHw1pRi6XYxq58+MHdiN5SX5lJv7sPdAIc7yaiq3LsbSrDPbDmzHY69Fl9IOn0KD2+uh2O7DXlUNKh0oVGhT2+PYtRxTu8GgUKKyRuOpzMdXVYQ6MpH6byAC/D78tioIeAn4vCT2v5KXpn3CntyDdM5qwZMf/YSyeR/MJhM6vZ595SVoLNvweJwolGrCL7iWus0/Y+k8ioDLhs5owi8kajf+iKVJR4yWMFrUbeLLN54ILnUYCAR47d2PWLEjD28A8vdmEznwZmrrbBRX2/F4AyjDk1BHJeFHQpPSHmd5LmUL3uG5+yeFLMLyd5m0KrljluysIAdh2UkVGxtLbGxoE7QQgnXrN7Jpxy46tG5Jp46h68eeiL27d2Pc9TW3dQBJE0WT2iq6J1fy7/XTOdj+VlzZ8xEuB3Vb5mNo0RuVNRZP2T6c+9bVN5XqTbi2zSd94E24tszDULSZsj1r0Dbpgjo6BXOHYb8PIXKiVEioNVpqt/xAXX52/XCnnJVEZ/ZAZ7JSW12O11GDNqEFupS24HNRs+47wvqOpVmzZhgMeuzJTanath5P0S6kmOb1rbgCfNXFqC0xqPRmOmY2ZejAfqyv0qIq2U/Juh/wq42o45rhd9Sia9GDgK2Wmk0/ET34ZqS8rbgLdqKKb4lj31qMAlTGcFRhcVT/9inqyGT8tko8xfuwBfxYu4ypX5UpEMB1cDt+eyVqvRHbrhXUAVSXULPTyxMf/Q91fHPMAS015bUYVDX1nYsjUsBRh0JnQKkzYGzRk+rln6IKT8BjDMd7cCs6pURqTBimqATU+3cGAzDAUy9P5Td7DLqmgwCozq/EVlSKSqlAobUScFeiUCiQFCr0YTGovXWkZbalSZWb/n16/q3Py5+ZtCp2l9Sd1DxlshMhB2HZKeVyubj9P8+SI8Wjikzm8y2rSP90Dm888zA63dGf8QUCAXw+HxqNptG+pd/M4Jo2Bg4W1hCQDOgs4XgddXSSdpO7/EM+ePUxBtyUh7n9MNxFu/EU7kJpjcbY/iKql75PrFFFq75j0BjMKDuNRvvTNKyR0agSm+Es3E3txnlIAAE/4Zm9cO1azdWjLmTsiLa4PR4OHNTz3xVVbF32A9X5e9AltcLUdjBCBHAf/H/2zjvOzqra38/bTy/Te59kkknvhRRIIIFI74ioiIr1Z/eiXq/til7vFRUbFgRF6Z3QE0IS0nudSWaSSab3Of2ct/7+OGO4EVRQIOqdJ5/54+y87373zNnnrL3XXuu7DiJ5ggi+PNr6RnCJw5QV5aOESxnatxZvYQOIMlZiBGOwnUDFRBwjzbiKEu5dvQ6tci6R5gfwzLkSwR0AUSC+5znS259Czq3AFhVS7Yfw1c4kcfIA8eN7MXpbSR3fhau8EUF1IQcLkMNFKHmV+CYsZnj978i8fAem7CWTjCF6/IjeMO6JZyP587Jn2YkhWna8iHfq+SSObsVnmdmyiUYa2UhgmiaiP59M52ESR7YgKhq2oYNtI6ou8hZfjyjJtGx7kvHzz2N6cYje3l7uf/xp0uk0Lx9owztz2qn3MLeslt6hbuRAPsqoyJVjGQiWkVUks2Tcbg9S9K0PXQl5FPpjmdNS2sYY40wwZoTHeMP09/fz7AN3khzuo3baQpauvAhZ/stT6Ie/uJuTubPxjEa7qr4QJ2Nl/PAXd/PFT374de8xDIPvfOnjDB3aQEC1UQrGc+lHvkrjtFcF/AcH+0mTojAvTE//MLbsQtY8eNU4//aBK5k1cyaaqiBqXjy1s7D19CmpSDWQTzIewTKy7khJ0Zg0roajx09w6Ikf4AgigVkXI/lzwLIY3vEkxR6bz33sC+zcd4An12xizStbiXtKsEQNQXXhqp2dLZeYimMMdCAH8kdVrEQsSaKjpw9ZVRGSQ0S3PYro8mMbGUTVRfTEQcz+46w+lCQleUl4hqBsGo6Q1YFOHFyHu3omotuHpLpx188jeXg9argIb8UkhOQwfreKk+glseUAmVSK4IKrEGQVQZIRJZnccz9E9IWfUFueS0uPiODLQ/KGsm5xQcBKx9C8AVzjF6F3H0HNrybd04qnbAKirJGMDmEZGQTLxDvtAgRZwUqMQMs2fHWzQQDD0NFkBbF6Nm2rf8qlH3g37/naHQhVs9F1naN9Byg8sImSSdldbf64GYy8/Aix3mN4Jy7GHDhBuqOJ8PTzspHlokCyu4Vl86a8BbP3dHI8KhnTJpoyT4l3jDHGmWDMCI/xV9mxcze/+N19dO5bx9fmmcyu9HFw5yvctu4JPnXrL1GUP/8ltv9EH1pV42ltmj/M/rY9f/aeD113ETcUt1I2zw+Og5U+zH3/eSP5P3kBWZb51De+T8uQH/VElHfVOIT9HhRFxjAs3FWz+PD7rwegxCswkBgCUUYQQPSEsWL9uIrrcU0+m6Obn2DyyvdgpuJ4FYeeuIlWUI278exTuyNBlimcfzHjR7bznz/6JesHvcS1Kqzp1ZiH12OmI8iBAszYEMnmV7ASI4guH+ZQB2YyiiuUgyAIJGMRkicPoskSSriUROcRkGVERcOI9CFpPiI1i0jsXo0jBHG7fIguH7aexNETKOHibECXZeAYGbyTlhE7uAbbNDB7WxAci2B+IbMu/gBbH/oZsjfEaCIvgiBgpuNIJROJ1szDXyWQbNqEraeJ738RW0/hKmlAKa3PCoi070MUJYzhYZziOjIjvcQPrKV88lmkBI3+3asRNS/GcDdquBBXIIwgihiRfjJ6EtntxwpX8Z0H1lGx5EpyPH5kt42/cQn9RzaTXxtHcfsQBIGyhmnMVzp5dPOjBCqnMeBWMYfasRNDFIojLKjxc9mF7/17p/BrCI9KV3ZHU2NGeIwzypgRHuMv8t3bf8Hzx9NE5QkUzK/mltZtXD+0n/dN96CIh3nhiYe44PJr/+z9Iq8vrvLn2g8ePIg7dpyyKdlCAAgCktvPRRXDPPWHO9jeCwPlZ5Nbq7F6W4qRlo2cUxBF8wZZHynnui9+91Rf6fgI0R1P4J24BCWvAr2nhfSJ3fgnLAZJgpwqop1HCQ4d4tBIDNe8a0nvW4sSzAfATkbQ3F5CboGetjh74j7kmvFg2YijKU5DL/8WV+1s4rufJrz0feDYWeOZijHy0q+Rpi0n3t6E6A4gam50XzGaN4SoaqglE3BVz0AarToV3/UUeEKYkT4yPS146udixwZBzH5MHVNHFBxcooWeiZNs24uSU4ZnxoUo/jwy7fvZ84fv4PLnYo70Irr9CKKIlY4jeYKIjoPpCLi9AcycEhLHdhCYfRmi5iXTeYjInhdQ8ioRgkUowyeomr6QgdaNpI7uIH/u5diqm1jTNqzEMFZ8GClYhJWMYpgWqipi2Q7ucCH6YAeKoiBUz2EwkiTo9yFJMkGvi5gvj/1P34USLMROxRgftPn6fb/muqOt/OLeRxkJVUFygAUzSrjgvEspKyt7kzP2jVEYyB6FtA0kaSh66wK+xhjjzTJmhM8QL23YxN2PvcCIDgEFrr/wbM47A4Xv/xLt7e28eGQIV/0Cku1HESUF97iFPLhviCvSA4wrcLF2/yvwF4zwvInVPNrRdVod4vRQF/MmVr/u9fc8/Di5XgndMLKqU3I2rcbjcdF25BDHhUbkIgU9PoI243I2J8/j5dbN1JtRfnb7D09zj3fHbYLLriW67RGkriNoxfUE5l6JE+vDZSYwRSjv347H5+NAu4kQHwHbwrZMBEECxY2RTiJ6A3S0HUNddsHoWaWO49ggu9CKxhHb+STehrOyebOOjRUfQpAUfA0LiBx+Bf/syxAlKas05QmQPLIVIzZMsHYWjmVhpqIonhCeKecS3XAP4dkX0//SXSihAtS8CuxMAjMZQbAMFFmgqryM3hMtjMgKoflXICsakizhCZ1NOpDDxUURHt36PPLMy7FFEVsQSRxYi696OqLgZCs/9bbin3UxgqIiyDKuyimk2vaS2LMaSRQpb5wGRoqwPYKZU0C0p43UyACu2tmEGs/Dig8R27Ua9BSJ5i1QPRlR0TATI5jHt1Iwfjo98RSOUkwkGkc1YvTvWU+8pwv/tJXg8iHLMi3te/j6f/2Ab9zyWX7w9bcuBemvEXDJeDWJ1v74O/bMMcZ4PcbEOs4Am7Zt59sPbmSwahnWuGUMVy/je49t5+VXNp/poZ3GC+s3IRRNRBAEbF4NXokXTGN3Z5KMYSO5/X+xj5vf/25mSu1kjmwk2tlC5shGZkrt3Pz+d7/m2uajLTyzeT97hl04goTtCOi6geM4HOnLUDZxNj2dJ9j/4gM07d7K/pceo/vwdrxTVpJfXvea82nHFchKFM68EMkbRiudMPq7iJSXFBGKtdGtFtOUuwBx/FJix3ZiCTLJ5s2jIhRgZlIkuo4S8Lqw04lX+3ac0bPUOKKiIbr8YBlZLWdvCFHzYKs+HARE1QWigjNqpNTKKYguL4KkImoeJE8IIxnJ5jWLAi6vn8DExaQPv0xy3/M4mTiJAy+CYyH6cmhtOcLwlofwl09AlSUyXU2ku1pwHAupoIZ1u48wodDFwIu/ZGTTAwyvuwuloAZH81CQEyLVcxw5pxRRVkEQsVIxrPgQnuJa8ivqmHnFx7hhyQRuf898cgNu8qeeTeTQBhzAjPQjCCJyIJ/A7EuQc0rJtGxC3nIX1sHncPUdpHH51YRK60g3bcCIDxBtb6L10F7itkpgwTWIwSIsB1C9qA1LuOu57Rxtaf3bJ+rfgCAIlIbcY0Z4jDPOmBE+A9z96PNodfNPa9Nq53DPEy+eoRG9PsUFedkdGAKi5kO3bADE1CB5HokHmwWWX3HTX+xDFEW+85XPcveX3su33lXP3V96L9/5ymdPS135Iz/8zf0UL7uRg+ki7tprolsOiBItvQl+0+xnwvQFxKQQ7mmr8IxfiHfq+ST9ZRx78Xdcct5rvQhWMoLg8iF5QziWTvLIpmyVpFSc+N5nsR0Hb+M5BMN5SKKEd9JybCOFIKlEtj1KZOtDGE3rGNz2BJ5gLkObH0JPRrFH9cvtdAJzuAM5VIje3Yzo8oEDdiqK4NhYkR5EUcrW4lXdSJ5Q1vC6fGBbr/4IIoIooQ92IGke8n0aTst6vHYSu2Mf5sBJhGgfqW0PkdrxCCFzBH9+GamBDgb3vIgpu8hkMvRtfIh4XwdddoB9Qg24fKhF9fgal5DY9zxWpIdINI4jq5jRAWzTAMdB8oYR3QGsVBx3KB8n1kdDfQ3f/80DbDnSw+EdrxBY9F5801YiB3KJbn8MxzJQArnImptgaQ0//fYtzKguoHL2uXQf2s7BDatRqmYSPbCejq1PZ4tlGCkE1Y0gZ/8Gpp5GN0xsXz533v/4WzBj3xxlYQ+HuqLv+HPHGON/M+aOPgPEDV6TFiEIAnHzHytVYvnSxdzx0JcxCyrILShmsM/Bio3gObGT53PKmH3Zh6murX1DfRUXF/9V8f3+hIlc7KZq+Q3cv/EJ1q5tw02KSCbI2mef4hu330n1vBV09g6Qio2gD3YiuzwEMJgza+Zr+nMEkaE1v0AQ5ax4hgPxAy9hJYa5/D8+z2O9MwBG6986WKO5vuZQF4Jt4fb6sSK9SDOvIDBuPMHD+xne+iiOpCG6/dipKO7CasxMGtvUMaP9qHkVoLlJtu4YdTXHQfUgKiqOaeI4NtZgO3K4mHTHQVwVk8E2sU2dZNMG7P5jtD7xY8SSRqTK6aipGE5nM76KSbhKxhFr3sRQUscMVGEOJwhNPhdBlHBwUIrrGF77a5ScUoyeY4SWfgDSMUgMYBVUEt37IiOpGGpRLWYqnvViiBJ2Kobo8jKy/0XK5p1DSeYk9z/TQ0/JYszdHfjnXIbjONiZOEpOGQ6QaT+Iq3IKZiZJYqSD1eu28v/efSFfv/03DDiFuBuWINkG1ROn0dHRCW3bkGUFW08juRUEWcXRUyBIGOkUCd180/Pz76Uy18P6I/3opo0qj+1HxjgzjBnhM0C+V2bEMrPni6M4tkWu6x/ri0BRFG675WP8xw9/TY/hIuhYlHssvvDru6mtrX3d3ezfg0cRSAPe/FKmXfoR9GQMQRSZOryDgoICMqaDS1WxWjdjKiHUknEQ72d4JMLw8DDh8Omi/3YqghLMRxAkfHMuQw4VYafjpDsOsH3fYezwdAAGh0cQPUHkRIRMbBDRSOJgk3EE1Jp5OJ4cOrp78eUUIUxbweCO1QgCuHNLEDQfoqQgBQow+44Taz+QLZtnm0gFdTgnDxDf+RSe8QtAktF7Wsl0NRFadD2ZziZiu1bjAEZvK96JZ5Mc7sQpnYR30nL0ZBQlUIxSUE98z9OIuRVotXMZWnc3+nAnOcs+iBUfRJA1BFnFNtKoBdVk+k/gG78QHJtUVxMC4J3xLjx6Bjs5QuzAWvyzLiG+9zlEXzYNS+9txYwP0vTc7/nYVz/J3Zvasu51f25Wz9pxELVstLaaV0Gs/QCOmUFxB6iYcAFHQlP5wT1P0lhfjRiYDaKA2+UGQPUGSBgm3uppDO59Dv/si0HIhualju9EcXuYNaHmLZ1Lb4SqXC+m7XCkN8ak0uA7/vwxxoAxI3xG+MR7r+Lj3/kVTsMyJEXFNg2spjV84nPv+7v6PXLkKI8+u4ZwKMg1l6x6S2T+qqsq+e1t32BkZARRFN9S6cA/5ZKz5/Czl/ejlU8GQPX4SR3dwnuuXwHAuNJctm9/CbNwAv78KgCcYB5yuIBv/vAXfP9rpwf2iLILb8NirPggamH2S95KjmAnY+xoSVIQimLmXksylSSdsXFEhUz3EexMkuCCq0gd24noz8eyTGImCI6BK5CDVtqA6g3ir5zE4LYnkMsnI2kepPJGPNosHNtB72khfngdlp7CO+U89K7DpFp34Ju6EisZIdm8CVfFZCRPgPieZ9Eqp5Fo3oDtCIiF4zEtB8cBUZJxbAulsI50dwtSsADRE0RVswYOQUKQNax0LHs2rXmxk1FsM4ODgzHYQXDOpQgO2I6D4PLjnbSMdNtuPBMWYaXiJA+vxzLSyMFCtOI6vnXP8wTK6vDaAo6eHPXaCCA4WJkkdjpJpv0gSm4RRXWNFIybgW7opMvm0nToGTwLlwJgmAaJeBJVdIhZFprXT6BxMZEdT2InR1C8IZRgHv7hFsKBC9h/4CCTGie+Y+IZFTkeBOBQV3TMCI9xxhgzwmeA2ppq7vjKzfzsdw/S36+T61X4yC0fpKqq8m/u8zs/uoMXWmJoldMw2hM89vnv8pUbLzlNNP/vIRQK/d19/O6BR3h6017ihkC+R+Rj776EmdNeFWK4dNVKMpknefTlF4jqENbgIxcuYf6cWQB89P3v5tcPvwdl3vsAslHMepySkmKOtjS/5nlysAB94ASOniS25xmMwQ60whq8jUtJOgZH9j+L8btvQ3EjaF6soU5yZq4i2rwZBIlM11HUonHI/tH3xbHREzGcSDf4wwipEQQzjd55GG3SOQhGEiM6CKJEonkTanEDojtIdOuDBGddjBnpRVBd+CadjRkbIn1iH0gSRqQftayRwLwr0XuP4dg2Vjo++kgre86cSZA+sRc5VIQ+2AGSTPrkftyVU3HMDJI3BIKEGekjZ8XHiG17GDlYiOjO5lrbjoOdyebwSqEikkc2I6oeBEFC8oQILrwWJ5PAGOwgJVhYLXvx18wER8CMDSH7c3HMDLI3RHzPc/hki5mXfYiBkTitHT3YgozomEjtJxAO7CDlysO0s2pUsqJgdTcR9MHIcBq/JqG4c7Fti8zxLeROP4vvbxpCXHOUUutefvyNL7yti70/4lIkSkJuDnZFgPK3/XljjPF6jBnhv4HW1mP84bGncRyHay5aybhx9W+6j4qKcm798mfekvEcPHSYF1oTeOrnASCpLpzGlXz/t48xb/bMt9xt/Ldw170P8ft9EVy15wLQ5zjc8rOH+MUtwdMWH9dcdiHXXHbh68oJer1ezp43kz0uSGcSqIpEbkExkiQhvk5BYzsdx+hvwz/zXQiiTFrZjbtmNogilg2umZfi7H8exzERgwUYsUEGNtyLZaQwYoNIeWXEdj9NcOHViIobxzKwE8N4BAN5sAU11kqh26ZXT5M69BKe6uk4Zob0yf1oJePx1M/FMXVGNv4Bu2Uj5kAHyUwSrXwyRl8rSAp6xzHkUCFayThExYVWUEPq2Da8E8/O7nCTERzHIdNxiODS9+EkI1ixIeScElIt2zEj/bhrpiNIKum2PbhrZyGpLlzljUR3PIkSyAXHxk5FkVwerEwc9CSi6sbW0+jdzcihQpxMAhwHOVhA/PgOGsvCCC3r8ddMI9a6DTsdywaVCeBxKUguF3uefxjdshAEidDkpRiZJEOGgnBkJ0LRBLSyCZjRPiKvPMHUVR+kwWzhu5ecxw9+fR+7j7Zj+4uhYiadfUPU1rhxF06nP5Pia9//2Wu8Gm8XVbke9ndG3pFnjTHG6zFmhN8kd937EL/beBStdg6CKPLy7Y9y5cxSbn7fa1Nu3ikefuZFXFXTT2sTBIFhNZ8TJ05QXf36ObnvJE9v3oer/rxTrwVBQB6/hDv+8Ai3funTr7n+z7kkL1o2nyMvtJJXNuFUm56MMass/JprzeFuQkveiyCKZDoO4aqajuj2Y8WHcGwTU1Kxw5UkDq5FGOzC1tNo5Y0Ygx3YqSjWUBe+KeeSatkGCDiOjd59hHFzl+P1ealMH8PlLWNncztO3SxObnwQKb8GV82sbNlAISuwkVM7hXKjnVYjj0ywHL23Be+EJQiCgGfcQlJHXsEc6c0GdQmghEuJ7XkGtbAmqy/ddxzvhCU46TiC6ia05D0MPvcTLD2F099GpqsJ/7SV+KatQJRVHFNHKayDpo2Ig8dJt+1GzinDFiRE1UN8830Yho7edwxv49nZHbPLB4IItoXjDtB6tJl/+/Bsnn15M4dsE7W6ESVUiFcVSWx7GHPiUqInjyO4fNh6mq5n70DCIjB+AUrJeJxMnHTzRhRviODU5WTiw5zQLaY2TkQXNSZc+kk6evpIy14c2+Lw+kdoXHEdmuamuTWObdvvyOKxIsfDE3u7sG3ndRdyY4zxdjNmhN8E0WiUBzYcwDNh+ak2z7gFPLrtJa68cJDc3NwzMq6Az4c5kkaVT5ffEy0dj8dzRsbU2dnJr+59lMFYioaKIiJpiz8twyApGpHhN1dYfeWys9l76Cjrml8m5S9HSQ1Qo0T58tdfW7dYCuQhCAKCKONYJnYmgeTyA062aAEgSDJyQTVmfJicc24icWAtnro5KEW12IkImc5DiC4f3vFnIYgS6fYDdO3fgOoN4bvgBlKGzUDnZkaevwdBVtFyyhAdE1kQEFMjlBXkokohfvyhq/nibXex8Ug3gTmX88cySo6p4x6/kMTe51HyKhAcG3dxLbaeQj+2Eys+QPjCzyMgZiOZ03GsxAhqYR04Dq6q6ci+HDLdR8nIzWiFNTiWgTHcDUDSAPn4buSBdhAEjIF2iqon0HeiCcEdQtR8iJona4AdOzsu28YpmsjDJ1WqCou49Yo5rNl+AMNupyrs5bmK8bQN9OObeSECAgig9rUxvOaXmIoHybZxF9XiLqoDwErFSPYfJOwVWLNuA/H8SXjFbGCWaZpYtoOdV0/zwb0ECsopHU2FeyeoyPWQ0C06R1KU55yZz8oY/7c5837KN8H69eu58MILKSkpQRAEHnvssb96z7p165gxYwaaplFXV8ddd931Nz9/87YdJEOvTckxCxpYu2HT39zv38v1l18Ix05/vmVkKFcSrykr+E6wd/9Bbvz6z9jCeI7nzefRngCtzYexLOu06/RElKrC1+5g/xKCIPBvn/wwv//6zfzHyiru+MTF/OJ7X3vdxYZgW4iaL1tgoXIqqdYdWbFMQcwaGttC7zmKe/xZSN4wZrQfyZ+Hq2wioqQiyArehkXZQCc9hW2kERQXqXQGz/QLcESZzr5ByK0meNa7sWyLxNHNWI6Ibdt43BrDQ8Mc2fw8n/jOrzh59CAgIGTtFgCObePoaRBFHCOF5A3jOJBp2UyuZuPXFEQjBZDdwVtGdlGhJ/GMX5hNTzIyeCcsQu9uxrYM9N5jxPe/iG/mRbiKawktvI7ArIsJzrqY0MJrGBzoxTtlBe6KSUS3Powx2JFVCjMN4gdfwls+ATWvAkGSafdPQFMVfvmdL3PXf32FVcvOoqd3AG38IgRBBElGkBS0whpc5Y2k2g8iCCJ2JvXq+9zTQqCgnMqgRCyZQtS8QPZM1sikQZQQ3dkc64wjM9B+9NQu2LIsXtm0hRfWvEQi8apYyltFeTg7b5p6xsoajnFm+KfaCScSCaZOncqNN97IZZdd9levP378OKtWreLmm2/m97//PWvWrOGmm26iuLiYFStWvOnnh0NBRKPlNe1OOkZeuOhN9/dWkZeXx+euPY+fPvAsI65CJDNNuRLjv2755BkZz+2/exhl0opRl7KD6g+TM2kRJzc8ROWiyxElGSMVx318HR/+ry+/4X4ty+LhJ5/muU17yVhQVeDjcx/+8xV2HMchcXgd3snnInlDuCqnMrLx96iFtYiKitF/AnfNTESyUch6dzOe+lERlVF3uOM4qIU1ZLqaUPMrMYY6s4pPqp/27l4yuomgZr/IJXcQY6SHyKb7cFVOJZoYRh84gRzIY9uhFkRXEL2vGXe0D1H14ph6VupSlDAGT5A6kETx5SBYOnUr3k9t8iA3Xb6CG7/zO6SJ5yGqbgTVjZ1JIogSdiqKUlBDum0PrsopaCUNJA++hHvcfPwzLyTdugNP/dysIAiApSNqHnwTzsIe6SYwbj5KbhkjG+9FHd1Be0obUP05GO0HMKXxRNMmn/rGbdz2u8epKCthanUhYiaGLas4iKOLCQfHyCD5czEj/RiDJ/B7x5NJGhjxIeg+QGmogm9+7bPYts09638JoSVkDAvRsbDTcTLtB5CKqsnsf5ZwcSWWZXGk5Rhf+v6vGA7WISguPA+/xOqffuNNz8e/RI5XxaNKHO2Lce7Ed37BOsYY/1RG+Pzzz+f8889/w9f//Oc/p7q6mv/5n/8BYMKECWzcuJHbbrvtbzLCs2ZMJ/fXD5K0xp3K8XVsm8BwE4sW3vCm+3srOXfpIs5ZtICWlhZ8Ph+lpaVnbCw9cQtBEBgcGqZ/aATDshGEHFx9LzI+so1YxqK6IMxHvnMLwWCQvfsOcM9jz5IyLOY01nLt5RefVpmpvb2Db/74N2w90slgwsAXCFEz/wIGHYubbrmVe277+mm1idPpNJ/86ndAlnFMndjOJxFkBcfIoPe34R63AFnz4q6eiSBAurN5VIZSwkoMIyjaqFvWxE7HMONDKLkVGP0ncBwbQXVjWjaYNpnBk1jRQZBVjKFOtMJqRE+I+KF1BGZcmD2LTcdw18wEx0Ef7CRx8GXc9fORNDcIErEdT4A3F1deOYU5AVzlU0gbBof73OQEA9xy5SK+8rO7UKpmYusprFQU/9QViLJGbN/zCKKU/cUFAVfNLJScMsxIH9gmjjnq7hdEHENHcvuwYzZerw8zHceXU0impA5XcT3x1l3oIz2Y6Ww5xuOH9yKEStDzxtNbex7d/S3seOkw+mA79kA7cl4lCGAbRvY5toVv/Dz0vU+R7DuMo7jxWTE+9Z5LuPG97z51zn/JrCoe3rUJ21WOorpING0gpEJRUR6hWQuwm9diWRb/8aPfYExchf+PZ8NFb31swx/lK1v6xuQrxzgz/FMZ4TfL5s2bWb58+WltK1as4FOf+tTf1J8oitz25U/w5f+5g27TiyMIFIoxvv7Fj/zVurrvBJIkMX78+DM9DDwKdEcidA+O4KheBI+GY1v0EaC3u4ff//z7p6598ImnueOFA7jq5iKIEk2HO1l/yzf5xX99DVEUyWQyfOKbP0KfsBLdHsDvCmClYhxZ/xgTll/NSOFMHnx8Ne+5+vJTff7Pz+6kLTQTx34eyZeHOdSBI4Ax1Elw9mWkj+3AO34B2BZ6XyuZY9sR+5oRZ1xG8sgm/LMuwk7GsrKOGCQOvoSnbi4ODpgGmDrDmx/ESUdx1czGUz+XTNcR1IJq/LMuRvIEESQJUdFIHHqZ8PIPIUgyjp5G9oWgtIHYjsdRckrI9LRklbSsDLF0gkSPG6nlKIHx83BEP5++9afkhwJ4i+uQSseB4gZBxrF0EEXM2ADYDrZtkuk8RGDuFQBkOg7iqplJqmULvhkXjv5lHBzLItG6C3XmBSCIZCL9EB9gaONOtKoZWOkkVmIY/5zLSLbuINP6FLkLrqBv3e9wJAVf3Uyk6RUktt6HOu1ilJwScBxSx7aj5VWQPryenFkXMWHabLLBbA4PbH6Bled2nVoYfuT97+bcRa1887afsrktysT5q3AF84Bs2lmZX+LkyZMMqkV43oHgrJKQmyNj7ugxzhBn3nK8jfT09LzmTLSwsJBoNEoqlcLtdr/mnkwmQyaTOfU6Gj1dW7asrJS7b/sGfX19OI5zRs5c/9E5d+YEvvviXuycWkRFAyDZtJFA41K29h7mxIkTVFZmXY73Pr8F9/hXo6bdeaUcN1I8v3YdK5efwxPPPE+saDqKAxYC6ZMHMCJ9kEySjgwiubzc/cAD7G0+zpRxVVx96YXsP9GPVjsFO50gfXIv3sazEVU3jm2DY+GffgFG/3Hs/mO48itRJiwknerHTsewMgmG1vwKraAGMz6IPnASV+VUHCONnF+Jll8FgkSqdRty5ZSsCpeRRi2oxFU5hdiuJ/FNPhcrNky8rw1R8+JkEjiSjKh5EZ0gqstPUtqEoHrIWfFxzKFO0id246qYguzLJXnkFSKH1uMNBEhXNnLIcNDkE8jBAgzTxBFEzFgMY3AEQVKQcwoZeOy7+OdcgpUYJnNif1aGM9pHurMZKxnFVT4JwUiT6mrGP+lsbEBS3RipOKnoEOEVH0f2Zs/nrXSCyM4n8Y4/i0zvcQY2PYynfi5qYQ1G33HSPS2Mv/QTdD39M+JyAHx5uErG4wydxKVI1DVO54+n3oIgII1bzK/ufZSPv/9avvPjOzk+lEQVYeGMqRQX9bJj4Bi6rGLGBwkOHOCrX/kkqVSSvyU86699fl+PsrCbrccHxyKkxzgj/Esb4b+FW2+9la9//et/9bqCgoJ3YDRnhp6eHh5/dg0ej4tLzj8Pv/8vV0r6U256z9V8744LiLcfRXQHwUjjKa3HlV+JhcW23fuorKyku7ubqBziT5dC7qJa1m/bzsrl53C8vQstWItlZhja9gRazSzUmtlkOps48MxvETxBymaupDlczp6mLp797NewhawrW/KEkLw5pFp3IAcLsRPDxAdOEsopwV3eSKZtD/GOJsyhDmxbJlAyHk/DIhBE9KEu7OO7ECQFyRPKCmPUz0PQfAiAradwlU3EjPYzKm2VTUtS3DiWCY5FaPF7SDZtQNA8YNvY6TiCopHpbkHJq8BTPxfBNlFzy9CK64lseRDvxMW46ucT3/EEsqlxYvd6CJUi63GSL/6K0MLrcAQBO5Mi0/QyiurCsXR8k5eROLAWUZRRS8bj4JA8tgtvwyKsxDD6kVfwNCzAXTWNTF8btiBhRfpIHF5PYN4VCJJ86hxccnlQ8iqxbRMrMUzorOuQQ8WAg7tiMmawkMjx/UyYdzb//dEreOTZl4jHY6w652q+fd+6044SIJu3PtAX532f/yaJunPx1PrJCCKPt3ewKODhJ1efx5oNW6icUcyKc65FlmUcxyFP7yH1Ovnif4k3+vn935SFPaQNm47hFBW5YxHSY7yz/Esb4aKiInp7e09r6+3tJRAIvO4uGOCWW27hM595VUQjGo1SXv5/R03n1/c8wH2bjiCUTcU2dO5d8x2+eMOFLFk47w33IQgCc6ZMYH00F0/lFAQp+6XsODZivJeaygVAVoVLM18b8arHhikrzgdg2cK5PPv7jXSdOE5g5oUYmSSJo1vByKBUzMSJdJNfnHVzunNL6JdU3E2rycQGccw07uoZyKHCbPrNuHmkjm5l+MVfoBaPw1UxBXd9XbaC0XA3kc0PIheNwzFSKP5cXJVTkLwhzOEuZF8OktufjQgWhWxJRMfJRgfbFo6ZDbACh9SxnfjnXgFmBnfdHGK7VuObci6OZeJYFtEtD5Jz7s2IigsrHUPSvGCZaEV1OKaFEi5CkBSGh4bwz7kE0RXIakOf2Etk6wM4ho6SV4WtuPBPPg/JE8JxbFwVk4ntfga9qxkzMYxW2gCWgRUfQCmowVMzC8POymEafccxYwMImhc5WIhj6ljJKJBdUMi+HPSeoyAICH+UyBx1L6vBPDLd+xCDQcaNq+erkxpH31+HOx5ZQwzIxIY5vn0NuuVg6yl2dexFnfdulJEM0nCcnICXnNwyNjc18+mSYj76gfe8Zg599aPX85Uf/ZZo7gQE2YU2cBg46y/Ovb/l81sezv5+TT3RMSM8xjvOv7QRnj9/Pk8//fRpbS+88ALz58//M3eApmlomvZ2D+0fkp6eHu7bfBTXhKWvNuacz233PMFZ82YjSdIb7uvbt3yaJdd8BLOoHsWjYNsmTrSP6d44M6ZNBcDn8zGt1Mf2SD9aMGt0HdtGadvE9Z/4EgAzpk9l6qNPczQWxe48hJ6M46mZheNYpI5uQRzpINbViienmPa9Gxge6MFMxrD334ak+ZH8uQiqK5vWY+poVVOJ7V+DIKuo+RU4loVtGVlt6cZzsFJRUm3HkNwB0m17ECQZJbeCRNMGELJGVhAklILarH5yTkk2+lgUMQY7skpftoWoaFiZOJInhGfCYpLNm9D727AzCdTSBgQlmwIlKq7sAkGScYz0aFCYiG2k8E2/AEF2YWfiSEou7uoZ2ehsW8dTPYNEyxZEdwDbscm6fwV8U85leN2d5K78BKKsICgu7EyC+IG1pEYGEN0+ZE8IsWwikj+PdMchYtsfQytvRKuYkhX7sAySRzcjaV600XxkOxUdTS1yUFwaGUtnQqEXVX01+1sQBD50xUq+8ZvVHDh0CM/MSxAlCdHUiekmijcPScsauYFoHI8rja2F6e3txefzvWYOTW6cyEM//ibrNrxCLJ5g2ZLXirr8KX/L5zfHqxJwyRzoinJe45nLchjj/yb/VHnC8XicPXv2sGfPHiCbgrRnzx5OnjwJZFfBN9zwapTyzTffzLFjx/jCF75AU1MTP/3pT3nggQf49Kf/+of5/yKPPP0CYvm017QPe8o4dOjQm+qroqKc9ff/jMq21Tjb/4B7/6OsCvXwq//+2mnuxa997uMs8nQhHn4O89ALFHWu4/tfuOmUdrAgCHzr3/4farSd+PE92JkEesd+hGg3rupZJONRWlqOsv2RnzGi5KJMPA//WdeTd9EXQVGzQVJidq0pyCqyJ4iAg5pfiZ1O4Jg6ojuAIMoohbU4poGSW47o8hGYeSG+6RdkRT9Emcime7EzSQCU3DISh9cT3/MsDJ4geWQL8b3PY/SfINW+D3OkB8mXixUfQpTkrISlkUHy5xGYtpJk8yvZOsKyhp1J4JgmxnAPsj8XOx0HUUbSfIguL4KkYqdiWMkodiqKKtgYfUdBVhktbQw44FgIigtR8yF5gji2mc1JVt146uaSaT+AKGtYqWg2J3jf82jF9bhrZyPIKvEdT2BG+0m1bkfyBHHllaF5Awg4CJKMnYyAqZNuP0CtK8HXP/vR17zvC+fOItPdhNqwFMkXRnL7sSUFraCKzMBJ7NF0KUHzMjgcwZMZwrZt1qx7mZ6entf0pygK556zlMsuWkUw+PYUWRAEgeo8L/s7Rt6W/scY4y/xT7UT3rFjB2efffap1390O733ve/lrrvuoru7+5RBBqiurmb16tV8+tOf5oc//CFlZWX86le/+pvSk/4v4HW7sIzXKliJtvk3eQfKy8tZ8/Ddf/EaRVH49898DMdxcBznNKlCXde5/Vd3c8f9q9EbVhDw5eM4Fum2vejRIezUbpTcSvRMEktQEUMlIAjIkpxNnUnHsY00jp4Ee3S3OVrT1xjpQStpwDYy2UWBIGAOdyEoGrKaj1Y8DttII2petOJxZIpq0XuPM/jcT5D9eUihAlzlk3C6D2I1rUHXBbyN56BVTcMYbCe6/TECsy9F8gQQFI3Y7tW4amfjpKKILh9qUR2xnU+h5JZhDHVmU6eqppM4tA47FUPNK8fOJBBd3qybW2DUKPvQJi4i1bqNTFcLnglLEBwbW08huf2k2w8g+bN60VlhEPGPR73ZSkuaG9uQSB3bgZJTgrt6RvbvLmso4RIim+6jcPpy3HVT6Fh/P3kLrmJ47/MIsgtXYTXy4BEum1vHd7961+ue1T761LP0irn4iqsRJAUHB8sdQM6vIbr9UTy5pajBfBAg0XGIeLyVj9z+GKavCO3hzcwq0fjmF//f60pWJhIJvF7vm56Hb4SafB8vH+l/Xc3yMcZ4O/mnMsJLly7N5nP+GV5PDWvp0qXs3r37bRzVvw6XrlrBvZ//LoRezcV2bIsCvZv6+jdfpOLPYZomP/rl3Ww/0oFlw7iSIF/86AdOCwBzHIdPfOVWNncZWJMuxB0sIhkZQPIE8U48m+iOxwkuuJpE00bUcBGOZZM+sQ871o+eU4xaNhkrEWHohZ8TnH8VcrgEvauJ6NaHsSyLdNs+tNIGRNUDQgA7kyR9Yg9ybnnWNS2KWSUrzQOOg1pQjWMaeBuX4tgWyaYNWM4woieE4w0TrpqBGC4jfXwX+mAHjmMxvPYXCKoHQVIQZAUkFTsxggNoxePQiuvJdB3BSsWRc8pRCqoQVC+yJ0Dy6DYiWx4kvOyD2bPj5DCJQ+tRcssxk1EUHPT+k0Q23INv+irkQD7pk/tIHt2CFCrAcUZjiwURsEmf3Ef6xF5GTB1bT2LGBsg59yPZz5NlIHkCyJoLX+k4fEKakaYNaKJD5OU7CZfUkpufR16mmZ/d8TXKy8txHAdd11EU5TSjtW1/M4X1M+jqbcVV0oCQFbYEScaTU4DWu5/0SR0rOcJ4n44w8yrUQDY9ieJqtg2089v7HuZ911152py558FHufelPaz+6ZsLunqjjC/08+juTo4NJKjNf61rfIwx3i7+qYzwGG8vgUCAL16/ih/+YTXD3nJEy6BA7+I7n7/5Ld0dfOnW29jt1OCqyeY070gl+MiXb+W3P/gWIyMjPH737bQc2sOWZAOJRBK1uhTbNhHl7Hmp4NjIgXzsTAJP7WzSh19C727BN30VSt0crNgA0V2rEWWF8Dk3kek8RObkfuTcUkJn38jQ2jtx189mZN3dyKP1eWVfLr5pF2AOd6H3HsdVNgHHtrFTcexMAjsVw103B0EA0eXD13gOgy/+HEFWEXJLCVVMZKRpM44oIUgSoQXXYkX70QdPZlW5FBdmMkJs68OMbPgDvsYlSG4/Rl8bouYm0bINo/84ciAPOxVDH+okuPA6kofWZ3eTsQH0oQ5kSUIrqSWVGCa85L2Y0T6iWx7ESkbQyhrxz78Svf0Awy/fRXD2pThmhsSh9diDJ8gfP4vo8CC+yeeRatuNqHmRRBFSIygiSIpKIpNgxHahjV/CuCXZHfXw5of55IrJ7Gjy8+Xbf0d3WwuCO4joCxOQTK5dsYBLV60EIOz34NcqEY48huHNRQnmI0sSiRN7CUhQUDcFITnCNH+U7qhBYtQAp9JpegeGMCyRb/3yQfqHR/jMzTciSRItLa3c9XIT7gnnvmVz8E8ZV+hHFGDrsaExIzzGO8qYER7jNM5etIBF8+dw6NAhNE1j3Lhxb6kB7u3tZXd3hr7EfuLRjQg45FeOZyTl4dIbP07fyaMszRlCsnWiERcjwyN48yegeINZ1yrgkA0UEiQFUZLQBzsILrgmu+PEQQkV4Zt+AWZ8EEnz4KmZlU2/GfWiSC4vrtKJuCqnE9+9mkz3USgRSB5ej22kMWMDSL7cbP1fUUT05aAPd+Kqm4ve20rqyGasTBzf1BXYyQiZE3vJDHahD3Silk5AKp2AFMgn0bQB/+TliO4AODaqy0dwwbUMr/sN8f1rcCydwPQL0Ie78VROJTjvChzbGtW0bsEY6sRdP4dUyzbcVdPxz7oYx8wQa91OsmcfudNyMAZOIEgSsi+MOdROdMM9uMobsaP9JF+6g6LcEJctmM4DmyTc01aR3rsGNb8CLB39xF5CDXNByYPkMHYqit7XRt6M88gPB04dQQRmvotv3HEntRd/kr6enfR7JiKHiynODZESRb7023Xs3nuAL33m49x4zaWs/9rPaFh2FZ171xNv34WVjhMaPo6nZgZ9J45SxAjLVlzIPc++AmQ9Ix29A+AOIiBgB4p4fiBE5kd38JVPf5TfP/Y0as2ct2wOvh5uVaIm38fm1gGum1vxtj5rjDH+N2NGeIzXIMsyU6b8eU3mv4e2tjYOHzyIa9oFqBX5OI5Dx9FtpDoOEpt9AaUFE3m5r4PWXZsInLOKfBwG969Hmn4+djKKrLlxor3IkoSsqCRatiH5clECeRAfxEmNYFo2jiCAZYKYLdbwxzNSRxBw9BSSN4QVH0IOFSN6w5gDJzEtE0FWMSO9JPY9h2f8WVn1ysMvMk84irHmZQ56ZuGbeh5WbJDEoXX4pq7AXTKOoe1PIAYKMIY78DUsJnV8F46ezOYIj1YncmwbyZ+D6A3hn7kKJVCAnUmQ2vIwwbOuOyU/6ZgZlHAxySObsuNz+1GL6rLnw7aNPO0CjNgQkVfuwzthMZ7xCxBEhfTxnSSObsWODlL8rv9HvkvgLO0E17xrOdv0V0g6SaKqiiKJuCoaGNm3lujeF3CVNqBEOpgRztAzfQa+8hIcIBaPYxgmsUQCK1SBIEqc2L8F9+zLMEWVE73DiDhodYv47fpH2X/iq/zkPz7Fl284nzseeBrLq6B6fAyc7CZwyWdRva8eN/zo8bVMzpfZExmifWAEQwmAbmDHBgj4Q7hyitnadJBMJoNhmgiuNx6Z/7cyqSTIuuY+LNtBGhPtGOMdYswIj/GOsnP3Pix3CHE091QQBKSiehjuIdq0ibgkkUokUGZejp5O4grm4q2bSXLf85jxISQjSU5xBb7qyUQOPI8CmEYaEkPUVpUzMDTMUDSBo7jRh7tIHduNGe3NnkxKMo5tYenZakhICjgWjp7EVTMDKz6MWliDIKv4Z16ErMcoU+MoFRcS3/0k325o5r5jLTyhvAtX5VS0kgaGXryD8IKrcJU1EmvagHfiUqJ7nkEtHodjWa/mSFsmfyx0IAgiIy//FiW3HNkbRsmvRBAlrFQUx8zqMAuqO1ux6chGkBRsw8DbsBBRcSFgg57C23BWVpMasFNRtPJJGCM9iKqGS4LcomIOHT5ENBZF0tyUlFYwdGgTkihiGxn84+YTljIYXYe5ZnY+X/jUx7nuU//BkGHQ3tWHKblAFEkODZPqPMb+TS9gyB48rlFjappYtkFqpB/Lsjnp5LPsvZ+lctxEPAJcOqeWqy++gGu/8hMU7+mCL1LtfHzWQU4+9Qti+VNQSidg9LVhDrbjn7oEcMhIHqLRKFdcsJxNv34Rb93st3VuTi0L8tieTg50RphaHnpbnzXGGH/knypFaYx/HPr7+/mfn/6ar3znNl7ZsvUvBsxBNr3sps99jdtfakUqmcDwoY2MHFiHbZlYho6ZjuHk1+Kech6Cy4dSUI3oDiIkBlFVjYJp51BaO571d/8XP/rklXxylo86dRifKpGbm4M10k1X7wBuTUVQ3Og9rdi2Q6bjIO6aWXgazkIrbUDvbgHHxk5FQZSx4kP4ZqxC725BLahCkDXU4nEAeEihyNmPiFC7kJc6ZN470SSv7YVsm6IhBfKxcRC9YQRZw+hvx05EcJU0IHlDpDuyqV2CKAICiUPrEFQ3/hmrwDLxNJ4NkoIVH866oh0bQVayZRNlDe+kc5B9OWCkGFn/O4Y3/p507zEEHLTKqeDYWIkREGVEzYMcLCB5cj+xQy8T6WjFFBQmNzYSjB5HEAR8/iD9G+8jnUygGzpDA73UuWJ85uPZc//rL1hCy4YnsDQ/jqSQSSWJN21AKGlk5Nh+BNWVXcgkIiDJiJ4QtuwmPjLIicO7YdqlKA1nY4xfwcOHkzz0+Gps6U8rSWdrSbe1d0HFbKz4AMkjWxH9ufhnvouMqJFKpwk6MXJzc5k2ZTLvagiQPrLxrZvAr0NdoQ+PKrGuuf9tfc4YY/xvxnbCY7xpNm7Zxrd+8wTULER217PpoZ3MfmE9H73+clb/9gfIiR4ykp+FF7+fGfOyCkdf//7P6CiYTzigY6cc3EU1xFp3E23djVo2ETsZRQyVYJg2Wk4Jet9x3PkVYEmU5OUQDOciJg9SV1dHUVERd9/3EO1WGCQRlzeIRoJI8yaiooyZiqGnU6iBXIKL3p09C7YMlHAJ4bPfx8DTP8QY7iLTfhCtYiqCbROYcymxnU/grp83enbsIAlO1pVsZyONBUvH5QgoPfux6mKjCloCjmmR6TqMEipCKajATsUwY/24xy0kuuVB0m27s/WKh7sxIr2InkBW6dITZGT9bzGigxh9rQQXXo/ky8FKREg2v4KaX4XedQT/zIsRBAc7k8QY6iS288lsClZsAFx+JLc/m8bkOGBbBOddiZEYou3wXmbl2eTl5fHRK5bzvXueYGQkRmDiEpLNG9FkkWBxGYKsnSpAsvSseRTc+Qi9B54lljIQVQ3/lPNwRInMib14isYx/NJv8M94F7I7gJ2MEN/7LN5pF5Bq3Y6VerUQgqtsAuv3rSHH0Yn/SepPsv0A7tgwZmgcuZUzGdjySFbIQ5AwLJvI/nV8/JrFp1KVPvORD3BNV9fbOq9lUWRyaZC1zb38v+VvXTbAGGP8JcaM8BhvCsdx+NE9T6BMWnmqzVs5hVcOvoz/K9fwxYUaSpGI4/Tw2AO3kEn/O/OWnMvh7ijKRC9hzc1wtAtH9eGqnEJy3/MIeaVg2+iDncT7jyMKIpnuo0jzLkfyBdA8Xnr3vsyq+iAf/MI32N0RpzvmYBtpXJX16JqHxI7HmLDkIiI7nyLlLSE893o6n/lpVmZScEDMBhmJqgdBlIgfXEdwwdWIwqgzyDKy7t/ju8FIo5VNJG3YoFrZiOy2LSxr9HAyYTJUsojE/hfxTTkPY6iT5NHNCIoLB4Nk0ytohbVI3hywDIILr8EcOEn8wBrctbMJzL8SK9pPqnUH3snLSbVsJdXZRGDWjUS3P4JANvracRwynYcILrgGcAABQXGh5FWgFdWhVk0ltms1/nmXI46eJVvJEax0Am9hLdGdh1AC+by8fTMTzr+B2jwfFV6ZVkXGYwzhLyokNjLEYH8PkeQge/fuZdq0aQiCQDCvEDNnMqqjYdsOhu1gpuIYw91kuo8gB4tIHduZlSGVVbwTFiMHCrAKa0gPtMP/quSVtgRu+cDVfPmn92JWzkP1BEi376eeHja39xNJP4eruJ7wzAtIHN9N5thOzL4WfvP9f+PsJUtOm3slJSVv59QGYHpFiDtePsZgPEOu7/+mct4Y7yxjRniMN0VPTw/DUog/Vu/NZDIMR6JoHTu5esowipT9ohQEgUvHC/zoqbuYu3g5tiMgkS0HWVlSSEtbOzYSxsAJ9Hgvsi9E6vguPBMWo3hD+OtnE9vxBKYe5WioAMXt5/tbjhBYcB1iWRCX42TlFQ+uIzD7IjyzLmf/8/cQ9nlJJzuwNz+MFR8alYJ08UdDZiWHsfUUouoi8sof8NTNRS2qQ3IHUAtriR/eAJbB4LO3462bjeMSKRzYzpVFnQynbL57uIRMwxzEE3sZWP19pHARmZ4WQvOuQsmvxM4kGF77K6S23ah55YjuAPpgO4HZlyC6A0guH5LLj+gJM7Lxd6h5lbhLx5M+tgNP3VxcFZNxjDSObRPd+hCCIJwS23BMPauI5QlmJSUrpzHy8t24yhpxTB3HyOBtXAaChJkYQQkW4Vl8I0lRYq+lkzi4Dl/1dHqP7EQtm0Rg8koEQUSPDvDl7/+Sx+/8IR6PhyqfQE8mDaqGKArY6RSp1m1oxfV4Gs5C7z2G5AmiFtZiJSOIo1KUxkA7ZnqY/S8MoykSlbOXURNQmTFtCvf/dxX3PbaavoEOchuDPLIrBrOuJqiDkYwxtGM1efMuRe9pwWv0sHTx4nd6agMwtSyEA6xr7ufymWVnZAxj/N9izAiP8brous5L618hY+ics2jhKW1fr9eLZKYB6BsYYCRpImgecs0ImUyaSCyOJIkMDEUwHWg92MPLr2yhOlfjuKEjKSqKohDweRnu6yK/uAKjaCJWZzO+cYsQ1VGDmYnjn3EBwontiIpGHDeuxmWIgQKsVBTJHQDFjVo6kdTJg+g9R1DLJ6PWzaCmpIj9LzyEkBom0bQRT8VkBEnEtixi+14kuOAqZF8eyWPbsRIjGL3HcfIqsrWEp55H+vgu/LMuZmTjPSTNDFqOh/v6qulLjEOfvgBxNIraO2k5qZbN+BvPQfT4sVNRrMQISmEt8d3P4FgGSm4ZCAJSw1mju3IRR08hygpaYS3eiUsBiO16CrUgW7RekDXsZASlsBa9vw2tuD4b2GVbWfnIVATJG0YrcxHf8zRyXiVKqBjJ7cexDDJdzQiWibt2NlZiGNPUkXy5+GZdQnTbo0jeEErJBJLRETRvAFVVSFfM4+nn19A3OMLJgQj9h+7FKGzAlVNGvHUnjijiGb8wu1jJryS+/0WU3PLsM400ZnwAMzZA7qLrcLncmKkYzU/8jJ///scA+P1+rr30XbhcLt7z2W/iajiPvESC9FBWF9upnEr05bsomzSXlcsXnjHVqpBHpa7Ax9qmvjEjPMY7wpgRHuM1bNu5m2/+4n7iuRNBkvnZ49/lwxedxSUXrCAQCFAfFjkYGWQkaSCORsr2DUZx3GF6+gezAhaj7V1qDrc+uJGPnTede1Y/x2CoAdmfh2vgMOLxg1i+AlxFdcQ7mpFcXrBNJFFEEAUUX5DhtI67fAZCKoEoKgiyiuQJYadj2fxbWSa65UE8dXORAgUM7FuHV59CKOCjyzBR4104RwdxZA2MNKoZw84kkUvywLZwVU8ntv1xnKObkYKFZDoO4Rl/FnZyBK2gFskXpkdPEa3NRuYKZFXErNgAUrAwawyrZyDKCun2A5hDHfinnY+vcSl6TyuZ7iOILt9oipKFlRjBHOnBjPZhDHViZxJIvlwE1XMqgtrWk2CbaIW1DK/7Df6ZFyIH8pF8OSQOvoRaVI8AmEOdOEik23bjFEZRckrRB05gjvSCrGajrW0LQXEjyKPBUY6FHCwCQcC2LdLRAdySQJ/o4tNf/288jedQPuVCpk8VOX5wF/2HNyMbOmrDEsxkBFEA2RfCGX8W8b3PjUaXp7ASI+QsuAK/oCOaFj63jOesSzjWdoITHV3c8eAzDNtuxHSEk8MpquscvF4vuekMI4k0YkEFVrvGWcUOX/n0R975Sf+/mF4e4pkDPeimjSqPxa6O8fYyNsPGOA3Lsvj2Lx/AaVyFr7gGX0EFcuMKfv7EK4yMjADwnVv+H/auR0ge3Zr92f0E4vTL+Nl+laRu4aheHMfhsWaL4aoVqHXzeXLDTu7/ya18ZWUtV5bH+e0XruVT156PHe3BMjI4ZgbBsdDU7E5ZlrPnnHpsCDWvAjWvEr37yKlxOo6DlRgm2bwZd+0c7HQcyeUjOPdy2lsOkew7QSAcomHOYnLycvHINkXl5Uw4ayVC80sgCIiyhigpSIF81MJaXOWTseKDiN4gkj8XrbwRvfsIdipK8vjObCR3JkFs55PZervJKEpuGY6ZIXVsJ6mjm/HUz8/KNNo2alEdnvq5mEMd6N1HcRybVMsWzFg/WvlkvBOXkmzagNHfhiCI2XKC0QFwHERPMJsfXNKQLb/40p0Mv/Qb7EwSvfcYkS0PEj+0DlFzE5p3JYLqItPdguwvwDdpGVZsABQtWyfYscDOGktBcWdrINt2No9adpESVAZOHCVquzCKp9DW0Y3jONRMmsm0i27CZSeorK5BjZxEU2RUzYU3vxjfuLk4kR7UZB/BcXMoys+jsryU8pIiigry8eRX8PKm7Xz7D2tI1K9AHb8YcdL5RJI6vf0DAOTl5lBTVkSJX+TaZbO47ev/dsarmM2oDBPPmGw9PnhGxzHG/w3GdsJjnMbevfsY9lUS+BN3oFkylSeee5Ebrr4Cr9fLjVddyK/3JlE8flyBXARR5GhxFTc/+Q0aKgJE8RKrWYm7egYAMT17HnzOksWcM9rnjcVF7D+wny2xDorLKkkMHEcoGY9tWzhGhkTnUYx0isTIIIgiUiCf+MGX8NTNIdN5GL33GO6qqYiqm/TJAyQOb0AKFqIPd6MUVKLEujiy8xWU2vko5UX097bCnlfQ7BSO7WAlI9l8XMfGsUy0knqwMliD7cjF9Uj+HKzicSSObEZU3SSbX8FOJ5H9OSSPbMbTcBZyqIiRl+/CO3EpWskERE8AOxXHsQwkzYPjCWPbNsmjW6B1O+6qaWilEwABrXgcanEd0S0P4510DrFtj+Cbdj6yN4SdSRLf/yKuyimoeRX0P/V9ECW0ojrkUBGOKJM5vpNE8yYcx0EJl6CWjMca7MJKRRC8OcR3Poln4hIk1YttZkjsX4O7eiaZ7ibSPUdRggVgW1ipOLGmjdlqU4KALii0newgEPARDgaZNHECxmAT9QvOp3Xrkzi+Ahw9zaRghq/d8Q38Xg+f/vFDKLk5p80Zvf8YHckelPoLTrWJkkwwnMtw9wkKC/Ky2tKCgNa+nU9885Nv59R+w1TmeCgMaDx7oIdF9flnejhj/IszZoTHOA1BGBXc/1McXo0kBi5710ruXfufSMUXZAvcWybdR/bTJ1XTY9WiKTLVhdk0D8e2Cf/J5ubxZ57njsc3kMydQmTrCxAsQmWIgdadOIo7m7JkpVALqkh3HMJTPxc1vworPkRk26PY6Tg5S98HkoIgiCiFtYy8/FtK132FT02QqPQ38612h3jjB5F8WePgKm1A94SJt+7G2fM0avE4YrufQQ4WY8ezux45t5zMvufwBMKIgUIEzYPkDeHYJuFzPphNo3Ec9L42YnufxTtpGVrZJKzIAPpgG666Odn6xWYG28hgJ0cQHIec8z5KdNujuKpnIDgOViqWLTUoKUi+MNFtjyDIKpEtD6EWVCO6/finnQ+WgcuM45Il5JLxyKEiEEUES8ddPxe9v430sR2InhCZQ+vRiuqy1Z8sHStlEt/7HHKwEKP3OHJ+JY5jYWWSJDb+AVflFCTNB6JAYNZFRDY9QLyvE8kbxJTdJGIm7R2HkXZtp7Z+mPbD+5AsgwJ7gK984iYuOH/FqbPbxePyeamnBVdRHQCZ6AA1Tg+unHwGlFfzhPVEFEmSSOx8gkz6KLI/jyKvyCc/dg2FhYVvzST+OxEEgVmVOTx7sIdvXDxpTD1rjLeVMSM8xmlMnTqFnF/cj+40nhYcI3fv4aJPf/7Ua5/Px3986Aq+d+fDjGhFnNi3GbH+LBovX0L3wAi2pNL00sNMPPdarKMb+Ngnrjp178jICD97fCNK4wr8wOSLPkj7zhdp2/A47rwyPA0LUMom4SAxfGgjVqyf6K7VyJ4gCgaZjkPkLv8woqJiWzaIICISKK3lJmUjs2vzwUwjhMrAtkgM9GCnI2ihIgRJIq0EEAY7SbcfBBxSbbsRJBkxkI840kFeYRHR4zuJdLZixQaRvGEC8y5HVFyn5C+V3FIERSW69SHctbPQyhoR3V5iWx/G23g2otsPkkLi4EsEZl8CjpM9KxckBEVBMDLYegqcBFakH/+MC1GCBcR2rUYrqae8ex1lzTsY0hV6c2eiYqJWTEL2BrP5wIKAbRqoBTVEtj2KVlxPcOF1Wdez4+CumcHg8z8nOPdSQEBsPAcrGcEY7sJORPCMX4B/2sps0LhtIcgKnrq5jGy+n5yzb0RQXegDHUS3PYogBzDzFpFT7aWyvAS9/wQtHb2nzY9bPvlhah97ihe3voxh2rjtBMGcPPp6eoiZx/AX1zDQuo+OY0fQ6ucRXlqPbXRz/tRCPvnB977d0/pNM7c6h9X7u9lybJCFdXlnejhj/AszZoTHOA1RFPn3m6/jaz/9PZHwOARJwTN0hE9cupRAIHDatfNmzeTBGdPZtWsXn08M4mucCkCFItM/OAwlDah7H+Crn/4Iz6zdwG2/fQyXDCFNxCyZhjLaz+Fn7yHuysW/6vMIjsPIgRdRR4ZxNyzCUz+P+L7nCUw9j8Fnf4waDKF4AljJCFCeFcuwLBAEXKKFIlggwPpjaXqdEGbrbmzZhRwoINK8GQER2wFnpIvQgmtwBXKxEsPEtjyAlBzAN/18UoZBYudTKDmlBOZfRaplG5I/W7VJ8owWljf1bG3fAi/+SctBklFySlGL6om8ci9SMB/HNLBSUeRAHuDgrplF8sgreCcsHlXQAltP44gigZ4dJJoGMFIW58Se5AsLVDS3BwdYvf8e7rALiO97AWQVJbcMraQB9ARyrIe6hRcwqOQhSDKC5BqtISzgqpiM0X8Sf9Vk0rERBElCK6xB7z6CklMGCOCY2XKHjo2cU4KSHCHRtAFjoB0lvxKtfCLu2tlIniCRxAjdvf2UFFWzds/zfMw0T4l8CILA1ZdeyKWrVnDzv32TI64G3IFa0k4/J9f8gcJJi+k83ox3+iqcdIyiokI8nmqe2LuBS9vbKS8vf7un9puirsBHScjNAzvax4zwGG8rY0b4H4RoNEokEqG0tPR1C5q/k0yfOpmHfvxNXtmyFUM3WDj/cjwez+teK4oimqZhB4pPtWmqRllxEVZumLmih+/96j6GyxejljXiOA7r1/wera4Ad7iASGcrMcmHd9wCbMtCkCQCcy9n6KU7UevmISoajuMQ2/s8roopyFVTCSSGiR14CccyslrPkoKdjqMd20jjAgFHT/PCUCFWOok6eQZysAgHAa1iEsnmLRjxYfLf9RmSh9ejTj4HI5NGrJqNVD6V1MgAiCK+qeeRbN6EYNvIvhzMkW7kQD6OZSCIMraeyu5gZ1+MPtxJpv0Q2W2lg6C5yXS3kHveR4ntfILo1keyO2MAWSO28ynkUBFmfAhObOcDVX1cXCkQLXb46bY0n1vqQdXk7Jm1Y3Px5CAvdQ5zqG4OcrgEY+Ak0Z1P4m04i3QqQd/JKNqEMpxMAsETxHFs7HQCzR8mdWANnpoGTFlC8oZI9Z1E72pGkDWUnFJElw9BFDATI5iDJ3GFChAkiUzXEex0HEcQkNyBrPa2y0ckHqMESEseYrEY4XD4tPlw130PczI0DU8461p2hwqYcMnHGHz2dlwF0/GRJq+kAEXJLsGksqk88dxLfOymG97qafx3IQgCi+vzeHR3J9G0QcCl/PWbxhjjb2DMCJ9hUqkUv/mvW/AN7iVX1XlUz2P6hR9i0bmrzui4FEVh6aKz3tC1VVVVyIO/pTsWwxUIEyobhyCKZHpbSQZiDOTPwO3N7qIFQaBs4SUcfuFeiivrad+9DlfDedij0pBZCWoBV8UUEofXo5VPxEoMo+aW4ambi5NJoHr8BOZeTmTzA4jeEHYyQvrkfvKcBLbswjF1EoIfJVyMpLiw0nEEScExdZTCahR/DrI3hG/SMqJHt2L2txFYcDWiO4iounAsE0dPIQcLMWP9uGpmEdv6EJ6JSxEVDUSRdPt+bD2FIMgkmzfin34BguoCBDI9R7H3vUDq6KZs8FVBNaI3BLZFdPvjOA4Yx3Yie8N8bkIfq8Yp2JkE4fxcFhfHCDvDpJw8ZF8OjpFGT0YpK8ijJbcMKxVH8oZwVUwmsecZ8s+6CkFUGNzzHMEpyzHigyApyLKC0LmXz737An715O+JCgFEt59011HC59xE6tgOsC3s9KjMpJ7C1XsAw7QxihoJLLiaVOt29O6jZLqOoOZXIGke7ExWIzzZ28YX/+snOI7ItLoyPnjDNaiqyu7mE7iLXp038XickVicSEog3yVSUFhw2tyxMin8/tdf4J1pFo/L56GdHTywvZ2bFtWc6eGM8S/KWIrSGebu//l3rvZt44ZGm1X1Mp9sHOH4E9/lZFvbmR7aG8JxHG7/9e/pS9gMiUE6BqLsf/YeYj3HqLY70B0ZV04xmUwG0zIBUNw+cgNe9L1PYSRGsFKxUReqCLYFgJ2OY0X6iG97FDvSl1WSGv2HO4gnmIO7tIFMRxOObeOYOh2l5/KVnbkc7MmgZgYxHAnBFUBUPVnpSc2brd4kiiAIyOEirMFOlMJaHEPPCoU4DoIoIbp8mLFB5P6jBJqewFdUTaJ5E7G9z5FoegUrlUArnUCyeQPu2tmIbv+pikmyN4xW2kCmpxVX9XRETxBHT+EYOu66Odh6AnfdbHL7trC8NIVj6tk8YsfCti0khGxeryiBoiF5QnQOZxBEEdmTfY5W0oAUyMcyTSwEtHAJ8QNrcbk9iIlBktseIpOIctsTW4haCnI6ghLMxz9lOUpOCf7pK0kd30n6yCbiOx7Hve8h7vnelyCvGs+4eaSaN+GbupLclZ8g1bYLK5PATIygKTJtW55hBDfdJUvpKV3MY90+PnrLN7FtG03KlmwE6Onrp3M4SUryYvqL6WreR3dPz2lzR+3ayWWrVvKPSNijsqA2l19vPI5h2Wd6OGP8izJmhM8g6XQapXcPub7TXV1XjrN58eE7z9Co3hzrNmzkxQ6HqkWXUFpaSqCwHN/EJXB4DT/99lcYGuijuekQJ/pGON7ZT3tXD7ZtUZgX5r7vfZHzplSS2PtstgqTIIAoZWvstu2GWDd5C68CWcnKNcoqgijjSBq6bmAbOlr5RNT8KiRPCGQXG7pVPrmnmm0nU8R72rAtI9u342CnotjprFiHY+hYyRhmOore20qqdRuObWUNtChhxoeY1PU4/1Oxjjun7OKrvoep7nsJ/6yL0ErGY/QcwTthMVYymo2etgzsZAQrNpA9m5UVRFk5pZIlugOInqzalB0bzNYyLqzH1gLg2KOpOhJzq7z8aIeFYQMIOA481eJw0K7ESSdwjDSQLdSAKCO4/JhGBim3HKPzMJm1P8HZ/xS+GRcQXvlJvHOuQiqfRsowie54Etmfi5WKYafiBBoWkDv7XQSrJvGTb/0bv773UbzjF2C0780GlykakqLhn3Y+qaPbiKy/m5nGfgLGEFWLLj81ByzDYEdHkocefYzrLjqX1LEdGIZBNG0iaR7MSD/+QIDxy6+hf/0fiDa9QuLYLtSmZ/j3my47pcb2j8i7ppTQHUnz5N63t3jEGP93+adzR//kJz/he9/7Hj09PUydOpXbb7+dOXPmvO61d911F+9///tPa9M0jXQ6/ZaOKZVK0dPTQ2Fh4Z89O309dF3HLRqvaXcpIvpI7HXu+MfjibWb8VTMBwRCwSChYDZwyUxWcfBwEy1pL+mTu/DOuAhEkWg8wsC2V/APnOCDX72NfJcHzRtgeO2v0ErGY5s6em8rkuZFxKT7mZ8SnH81yaaNeCctGz11BUtPke4+gpVJgCBgZZIIyWFyzvsIjOblSokIg8/9FN+0lSjhUjJdTSRbtuPC5Nwj3+bFo2mUgmloJRMQFBexXauRAwU4tkXJidV852wBl6gjZEaYFTT51gKHDz16C6ny+UiBfARZwV09HTPaj+zYiG4/ssuHg4MxcBIrnQI4LeXLjPQheoP4Ji0jMjCO+4/ewY1T3VjxIazkCH5NYisT2bIzjxJ6GXFyOR6cRcrbg6inEBwHRxCJH92KVjUNwzCxTRO9t5XGC29isHUvyWANSrAIPRXHti3c1dMwh7vQppyXLTwxbSUIEo6ooCdiuFL9zJg+jQefeh47HsVOJXAF88DJ7lZFWaVw0nzKjAo+eu0Sbnl4LwC2adC87hEMTz5SbgPfeGAzKye28r6Fdfz0wQdICfmgJ/CqIlULViFKMjVLr+A99TaL5s+ltrb2jMc//DXKczzMqAjxozVHuWhqCbL0jz3eMf75+Kcywvfffz+f+cxn+PnPf87cuXP5wQ9+wIoVK2hubqagoOB17wkEAjQ3N596/VZq0jqOw20/v5O1+0+ScuXizgxx9qRyPnPzjW/oOYFAgD6xCMfpPu363V06Exef95aN8+1EgFMpM6e1C/CHx57FO2Ex40uHaNv1HPHICIYjoAbyqFn1IXRBZN+uZxBxKDjraqLNm8AB78SlpFq2Yrv8uELlqMV1OLZBbNdTyOFizOggelcT/rlXIsoySDLx3c9gpeLI/jz0vuNIrlGt68YlmEOdJHtbkYKFaGUTSQycZL86hYp3zaYjLhA5eRgrPkRo6Y3Y8UEcI82EtAu3HAVRRXIHcSydEnGEcYUujs2/iviBl9AHTqAW1RF55T6CC69BkDWwLYzBTkRvDnbfCVJtu3FVTkXAwdbTRDY/QPCs63AAyRdidepCerc9z4o8h+6IzhPHZI5PPh+toIYe1Y0gKWTaD2KM7CHZsh0cm0zXEUSXF7WwDisdI9NxmEz7PgJLL6D94A6EiiKMVBzTNLJjdxxEtx/J7UUtayTT00Jg3DxkWcaIDWIaOk8+v5bPf+yDPP2BWxDz6rOueH9utqqTkaK2oRaluYX6+nrc+joA2ra/gFAzH48vB9vMEC4pYY+VoD6Z5Lv/73puuWcDroq59EeTHOvsy0pe9h9n6iXnU1//+qUCDcPgxXXr6e0f4rylC9+Rykl/jStnlXPLI/t5aGcH18ypONPDGeNfjH8qI/z973+fD37wg6d2tz//+c9ZvXo1d955J//2b//2uvcIgkBRUdHbMp57H36cZzokXBPO5Y/73+c6Wil86DGuv/LSN9THue/9Aj+54wtcW5ci7JHZ2q6zTZrFJ85Z8baM+a3mknMX8bVHduOtmnKqzdLT1OVqZCyb/iO76T26B0tP4RgmBcs+hJOKntodBiYuRjpyB3rrZrzljeipOENbH0TSfIimAYLA4NM/JLjoepScMoxID6m9z+Gpm0e6bRdKTglWYgTRE8CMDeLoKYyBdrSKSSQOrUdy+1FqZmQjqPU0ev8JPOPmEalbSp6cJCCJmI3nENl4D8Mv/hytoAZbT5JKDiK6fFjJCLaeIJrI8PujAY5aRSR3PYXozSV1ZCtmXjlSsJBUy3ZsIwWCiOzNwdt4NnYqSnTro2S6mhEVDTMxjGNbiJofOxlBkFX08rm8UjKTZ3Y+iW1m8Myei3FiH04miRwuxeg7Rrr9ALkrP45jpDEi/UihEiS3DzsdxxjqxFUxGUFWaD50AF3xI6ViWKKcDRQTsgslKzGCKMmouWXENj+AbkTRHQef30/Vivfw8u6NvP+6q7j5osX84rG1xDoO4Z9zGSI25UX5ZDoOc+m8SeTn5zOtUGPXSC/JeBxXbQ6OYyMZKYKBUgQhyOaD6/jgDddS9LtH2d83hOjPQ1AETCND9MRh1mwuYObMGa+ZSy2tx/jcd+8gmj8Jye3nD5t/y8qJ+XzmIx94Zybzn6Eq18v8mlx+8OJRLpleikuRzuh4xvjX4p/Gt6LrOjt37mT58uWn2kRRZPny5WzevPnP3hePx6msrKS8vJyLL76YgwcPvmVjemHrgVMKQX9EK6rlha0H3nAfjdNm8u5vP8Tz/qv4VeQspFX/xSe+/qN/eDfdH1m8cD4X1KjozeuJ950k0baPcNtavvr/PkRzcxMtezaTya2DiSswA6X0rLkTWbCzZ6WAhYSdjhGqm0mOnEZMR5BUD+FlHya89H2Ez76R0OIbGHrhF6RO7M1KQjogurwEZl6Iu2YmvsnL8U5Ygp0YxjYzSIFcrMQIdjqG5Almd6iCiKi6MAfbcdXORvQEGTZkkoaApHnwjFuAf+ZFyPmVGIOdHNEa6ewZRJAU9IzJt/bmsrPmA4hzrsfbeA6S6sIZPevNdB5Cq5qKf8oKfBOXoJU3gqkjCCKBeZeDZWImowiaD8fUiR94AciWJrQzSax0LDtWWSO+ezXeSWcj51ZgDHWQ7jyEVjYx+8eWVCS3D3flZIzeVlyVk3FXTUXyhhBEEUf14B83h+SBtdjpaLa8oe2QbN2B4g3i0VREPU7F1PlMOfcqppx3NeXTltC1byMHDxygtfUY//75T7LtoZ+xrCEfe/PdWE3r6Fj7O7T2rSyYOZnW1laWzpnKLOcoYqIfIR3FZSWpLC065c1xHAdRFJk5rhK9eQPJfS+Q2Pcc1uEXmXjetWw43Imu66+ZS1//8V2YjavwFlXjCuahjTuLp5qi7Nm3/52ZzH+BK2eV0R/P8OuNx8/0UMb4F+OfZic8MDCAZVmvkbYrLCykqanpde8ZP348d955J1OmTCESifDf//3fLFiwgIMHD1JW9vplyjKZDJlM5tTraDT6Z8ek287rthtvMpAyHA5z7Yc+9eZuOkMMDQ3x2wcfp29wmKXzZrB86WI+97GbeG9/P1t37qa0qJFpU6fw0voNtEZFArMuQnAHQRSRJy8n3dVMfP8LjAgLSKHR39uDr6yB2JEtmKqfkZY9eCctG41UtnHMDMkjr+CfsgwlrwJzpAfBsdEqprzqAnccJE8AQXUT2fIwcqgIo78Nx7ZwTCMbfUz2vXJsE/Q0OA4pU8SWVLAMrOgAZnQAT/V0pGA+Jwc7+ZI4lWXBThLJFCeqLiFl+bAlEUl1466egT5wgmTLVnAEUi3b8E9eDrIKqSi2oSN6w1kBj8Iakk0bsU0DrXQCiaaNYNu4q6ZhJ6OkO/YjyApmtJ/AvCuIbn8UQVKR/Ln4Z16EHR8ivv9FfJPOycZkjS5EcOxswJmpow+cxK6bi25biIKDd7iF/r0toHnRihvQKqeSsERGdj1LOreI8hk2w+1HOXl4N2rNbIJTavjwDx9iZUMOZ82axkhuIzPe/z4c26Z101PsjWU495ZfISSG8AVClJWVUuIV0QIK7tCr+srp4V7mNFQCEEkZTL7gBixDRxAERDkbgJiRPEQiEfLzX71vcHCQXtOD9ieLT3f1dB56+kWmTZn8hubnm/n8vhmKg27OnVjIT15q4apZ5eT7z2yRiTH+dfinMcJ/C/Pnz2f+/PmnXi9YsIAJEyZwxx138M1vfvN177n11lv5+te//ob6ry0Msi2VQHF7T7WZ6SQ1hf6/b+DvAI7jcOjQIWLxBNOnTX1DlWv27DvALT/+A3bNQhRfHVtfOMpjz6/n9v/8Mvn5+bxr5avn2Gs27cRUfLiDuVi2jWXZZPqPkelqwskp5tCmF7FECcWXi4NFYdV4PLnFbN/3EnKoOCu/KEokDr2Cp2ExksuLY5nIoSLkUCGJA2sIzLooex7tODimjqR5Txlwu2Iyw+t/x/C6OwnMvgwpWIDe20r65AGMwXZkXxhHUkGQwNSx0jGUnDIyvccQVC+eurkM1c/jvnSCkXV3kjOhHscykD2h7C8oikjeEJI3B628kfTxXQy/fDdyuBRHTyB6gngmLIbR3a6gebFHjiEFC1DzKhAUBb3vGJInhFY1g0zbHhwckoc34lgWoUVXIwgiViqKEi7BPLwefaAdOVRI8tB67EwcM9KHnUkR3f4IguoltucZJBwCk5fjCfiYNmUhBx/8AYakYEZ7saID+KqnYosqTc/dQ8YC95SVqBgUlxQjihU807SF/YcewF3/LgBObH8RPX8CqubFEiRcbg+xY3to7olB7iwSv/8OOVOXUVg7CVeql4neFB9+3xcAmDKump0HO3HnlZ42j3x2nJycHGzb5se//h0b9x8jmkhzvD9KdeXs0+aiY9unVLkcx/mrsRZv5vP7Zrl8ehkbjw7wP883853Lp/z1G8YY4w3wz+HzBPLy8pAkid7e3tPae3t73/CZr6IoTJ8+nZaWlj97zS233EIkEjn1097eDkB/fz+f+dp3ufyTX+eaT32N2395N5/50A0E214i2Z+9JtnfTuD4Wj5/8/v/bP//CLS3d3DNx7/Ex3+9ji8+vJ8rPvUtHn/m+b963/fveghp0vmo3iCCIOApGUezXM3jq599zbVFeWFs0wAEJFFCxiLd2UxoziXYkT58084nNO9KPHVzcE9fRU93N8ODA2hFtWQ6D2Wjd/8omuHPxdbTCIqGIIhIvlzsTAIz0oeVGMZKxbAy8awKVLgYRAk5XIIgKQQXXY/ef5zE3udw9BTBJe9BH2gndmgd5nA3ek8L8T3P4OhprGSE9PGdZE7uQ/LnIEgSRncTask47HQimwcsSiCK2JkkdiqGtyFbgN435Tx8sy4h03EQ0ZeDp34+mBkcU8cY7ET2BAjOv4rAjHcRXvQeZF9eNu3KE0BvP0Bg/hWEFl6Db/IyfFPOJXFgLQCi5sWKDaDmVZA6vovoloex0nHcdXNJHtlMdOvDqKFitHAh3oazyJl9IVpOMWnTIXNkI2phFa6iWkTFjXf6+QjBYozBk5gDJwjlF1ES9lBVXnLq+EOrms6RtpOnZDVj0WHUcDGWaSKICpmMjlTaSGKoF6lwHHZuNZrkEN+zmi9dNIMffetLp4zmlZesIn9wD3p8BADbNOne9DCVAYmhoSH+68e/5MkOlVT9uSjTLsSyBU50dmNZ1ql5pB/bxvWXZKswffW/fvhX5+if+/y+FfhcMpfPKOP+7e0c6Iy8Zf2O8X+bfxojrKoqM2fOZM2aNafabNtmzZo1p+12/xKWZbF//36Ki4v/7DWaphEIBE77AfjUf/6IpsBs9PplJGqX82SXmx/+6h5+94NvcPMMH1MT2/nQNC+/+8E3CI6m6fw9xGIxYrG3J03plv/+OfH6FfiqpxIoHw8TV/CTxzfR19f3Z+9JJpP0ZaTX7EQ8hdVs2HXoNddff8XFeJK9mImR7P0nD+Kqng5GBlmW0YK52Rq6kkIqMoRYMZ32rU9jxIZIHHyJeNP6rDvasbEz2SL3gpgNiHEsEys2SKbzMILmxbEtYjuexD1ufna3JKtYsQHkYD6Z9kOYIz3g2OjdR0i37SUwYxXexnMQFBdyqBD/nMsRXT5clVMJLriG4PwrSRxYi62nMYa7kTQvka0PET/0MnY6DgjZYCtPOGuYbRs7E0cUQSsZjznSg+gJInnCSL4cjIE2lILarPt8VJTDXT0DY+AERl8b3knngGUhyC5Eb3g0stvBjA9jxYcQFA19sIP0yQPYehpXzQxiOx7Hig+Se/b7UAprEByI736a2LFdpLtbiO98khuWTYdMEkPP4J28HCVUhFpYg3/2JWQcmYKQD7/Px/+um2XpGerLi0n0t2MkY9ijRy6OQ7bE5GjeM0L2vZD9ucSiUYrPeR8vbt512hxQVZVfffcrnBfsxdf0FC1P3o6YV80+dSLX/ftPuf+lXbjyXtWMrp2/kuSBF2nf/TLRzhbswy9ww6Jx1NXV0tXVxZaODH+NP/f5fatYPrGA0rCbrz1xMJt/PsYYfyf/VO7oz3zmM7z3ve9l1qxZzJkzhx/84AckEolT0dI33HADpaWl3HrrrQB84xvfYN68edTV1TEyMsL3vvc9Tpw4wU033fSmnx0rmIb/f5Vk03JK2NrURCaT4cpLLuTKt+ZXpLuzk/t/+GXyMidwHBh0VXHtZ26l8C2K8D558iQ9hHFLp7/1QvVc/vDoaj714dffxauqiuyYr2m3DB3vqK7uwMAAXV1dVFVVEQ6H+e1/f4VrPvIFhiQ/lm3jHrcQRZIwBQndMLPKSoKIoLoRNTe2qAAmvmnng2kw9OxPMFMR1MJa1Pwq7FQMxzIwhrsRZI1M/0n0/pPIoQK0iilY8cFsFPJIN6I7gJ1OIogigVkXA+A4NtHN9yOEixFECbWgOvs7JCNoZQ3YiSEEbxg1rwL/9AsYfvkuBMfBO2ExnnELMIY6iLxyH6Lbj5UcIbj4vVipaNY17fJjmQaOZeCtn09s+yO4a2YhqJ5Rwz1a+UhPZRcJyUg2YttII6ju0eIQoVHBEhHR5ceKDyIHC0m17sAYOEFw3uXoPS1ENtwDigfFn0fyxF5EbxjTMjCHusgNeCksKaCooZwPvu89/Pv3foJr9rWjgiVkx2HbuPPLETv3YZRPRVLUrMCIIMDxLVyyajlf/uHdxLylpKPDpLc/gVo+BUnJBrhZsSFElwczMYKkqKC5cWyboeRrg628Xi+f/egHeP9n/4O6iz6BODrvMqqLge4IOakUHrcbAFcgh6kXfoDClqd476p6Zs64Eq83e9SzY+9+rHDlm5ztbz2yKHLD/Cq+/fRhntjbxcXTSv/6TWOM8Rf4pzLCV199Nf39/Xz1q1+lp6eHadOm8eyzz54K1jp58uRpUcXDw8N88IMfpKenh3A4zMyZM9m0aRMTJ05808/Wcl67e85oIfr7+/H735ozYNu2+d2tn+DTE/tRRkUBdLOFH/znx/jcDx98SyKmTdPEEV/7tkuyclpAC2R3v7/47X0cPNmLSxLIl5J0xYZQ/a8WbzdaN3P9J67gi9/6b/b06KRduXhTj3H2hGKGozGqFr6LQTmXyNAgg7uexcyvwrKM7I5KErGTEUSXj0TrTqx0gtCS92UrI9kWWuUUotsfI77/BVwlDahF9ZhDHSSaNyIG8hHMDILmwVO/ACsVJbrlQdw1s1ByyzD627CNJK7ySdlgLEAQRLyTzyW262lcpQ1Y8SFEdwBBlLJpTcXjs4pZkoLsz8dORgguvA5R84IoouZVIs27nMgr9yL6wiT2PoNv0jIcx8FKjGAlIzh6CrW4DtEXwhzqxBnpRXT5wXGyruXECKLmyYqNnNifPSPubUUtHn8q0EwQJFLHdyPnlOAc34kcyCe05AasxAhKbjneCUuIbLkftXQCcrAA0RPEVTkVM9JPz/ZH8AkZPnHLzfzwF3cRrJlKKjGEIIoIkoKVihLf9zyqJ0hPaCLdj/wcbAeXP0i+kuGz77ucnz+zg9pLPkE8niASjTHY00ny6BZcE5ZgRltIt+1BLW0gcXAt4VmrMA6/hG1ZlIa9vB6RSISujIb6vxZ+qjeIaGUYjkRPGWGA1GAny5csYPGihaf1UVtZgfBCM/8ITC4NMqcqh/9cfZhlEwrxaf9UX6Nj/IPxTzd7Pv7xj/Pxj3/8df9v3bp1p72+7bbbuO22296S56b72lArJ53W5skMvaViAju3bmZJqAtFejUwRZVFzvJ3smfHdmbMmft3P6O6upocvZfUnwS5ZI5t5+rPX3fqta7rfPCL36S/eAFa8Tgc2yYV3YHv8NMYgVIMxUvQHObmi5by1Jr17HZq0MYXkPUVNHLv1tWYsh8zpxJL8SMXhsk592Yir9yPbelEtzyEq2YmguZBP7GP+IG1+Kaeh+jyYiejSN4gCCLehkUkjmwm1baHdGcTgtuPlU4hyFGkcAm2niK64zEEQSQ47woExYUgikgVk9GHOrASIwiSnD3LdSwEScYxUljJKNgmjpkh0300W9whpwTHsXEyiWw+rzuA5PZjpSJZ/WlFQ1RcCLKKu3oWRqSb2N7nkHw5WLFB9P42RNWNMdSJ5A7gqpyWdanjEN35JME5l4JjYQx1Ed/3HEpuOaLHR+r47mwkdbgY2zJItmxFECX801aSOLA26zoXBERZRRwVIRE1H2ppA46eyuphCyJKuBg5XELayBDwunng6XUUjF9I69HmbDGITILEoXUEpl0AVoaU5iL/3BnED6+nvKYeryrx4NNrkadejoCA35d1V4cCfg60bMXdsZ3Bjla0qmmIqhfP7Eswh9vx+7yox9fz0VtfrTedSCT43k/v5HDnEJZpcvJICzV1C07thAVRJK+kksTRbTgFq7IFP6JDFA3t5fILXxtY1ThxAlXCfX/3/H+reM/8Sj734F5++OIRvrzqzS/qxxjjj/zTGeEzRXG8haFYKZo/jOM4pDsOcenMOlwu11v2jOH+Hupcr81vynfZnBzsfZ073jyCIPClD13Lv//09yQLp2R3eV37uWpOLVVVr7r7Hn3qWXrCU/D4s6XqBFHEUzcHqXmE3/7nJ0kkEhQVFSGKIr99ZiNa7YRT96aG+2g7uAf/oveAo0AyjijJiKoXJacUS08gOjbRbY+hFtSgFlXjm74SyRPGTsVAkrFSsWyeayaJnY4iuvw4toU11EV48fXZhYGZwUpFiO15Ppub6vIhah4EWSV5ZBMYOpIvnO3HscGys32k4wy/fBc4oOaVYyWGcdcvwErHEGUtW4Xp0MtIniCiO4ggjOb0JkYQXF6kQAGi5sFV0kB8uBsz0o+3YSHB+VdiRHpJHdmCWlSPq7QBMzGcrek76yISza+QPr4bV9U0gvOvRtQ8pI7tJHV8F/G9z2VLB+oppFAxjigT2/s8dnw4e45spLFNneSBtTiWgRUfxrEsRM2LY2RGDTEIksqAGuamW+9iuGguZlcXqY5DJLuOIPlysxrXegJZdeGoWYkZ77j5DB19mdzFl3B085PUzj59Tnu9Xjw+P7WLL6E0NkT7no2kB0aINa2lrijM8oWz+OSN15Gbmwtko5g/+qVv01tyFkrtqJfILuXIuodpWHb1qX6DLpHPXDaTrQc3kbFgYlUhH/z0v6OqKq/H7d/84t89/98q8nwal0wv5c6NbVw2o4wJxW/t2fMY/3cYM8JvkB987XP8/pHVHDyxH0WCi5bNZdWKZW/pM2YsWMJza26nJv/0gI/NA/+fvfMOk6Ss+vZdsXP35JzTxtmcM7Cw5KSiRF8UM+YceH2NiOETFRVUDCAZYYEFFnYJy+YcZ2dndnLOM51Dpe+PGgZXQAFBQee+Lriure6qrql+uk49zznn9/Nw/uLXZiv4Wpg7u5YHbv4mT256lrFQmPOu+9DL+q8PHD+JO/vlM++wFCCRSJyyAqAbp55v066nUfKqESR1XLXJjRENIogpLCOFmldD+PBG3DVLUHMrJqQVY8efwzPjDMyUXYksuvzEWw7gX3ARguxkbOsduCrm4cirBEBQHEik4alaROjABjAN21DBm4keGkL0pBE+sgnf3HMRBREjMkxo14NYWhw1rwZBkpActluSNtyFPtwBlkWyvxnRFcAzZQnxlr24yuchyCqCw0O89SCJjqPooWGU9FyM0V68c86xZ6iWheTy4562itHn/kCscTuyPwf3tJW2RWIiglpQg2/uuRM2gu6apUi+TOIt+3HkVqINd6IPd+HIr7bz26kY8Zb9SA4P2mAb7umrEVQ3iZb9hPc/avdhixJGPISZjKINtZMyDToVATJimIiYWoq0VbblYbztIJI7DSMRRn5xJUSUJ6wkXS4n0YEOPDmnyjNOz3GhND1LImMqJbWLcQ838onPvZdzzzp94j2WZVFfX8/OPfvoUEvwul9K05RWTaGh8xgjddtQs0pwjDZx2cJKrnzfZVz5Gsft69Flf2UsTlXy/uc4vzafnc1DfP7+w6z/xHJU+R1T5zrJ24jJIPwacbvdfP7jb618XlZWFvLMi3mi4X7OqrC/mqdadJyz3kdGRsY/2Pv14XK5uPTCV/csLs3P4WDfCA7/qZ/rNCKkpaWdsq0i20NdKoGkOomP9GP583GnFxBv3o1r6ioQBASHBz08hJGMYfU34SiYipyWj+zLwkjG0Ee60SOjBPc8iKt6CYIgkuo+geTPQvZlIcgqsjcTyZsBgmg7HmEhyApSWq4t7iEpoCXRgwO2VaEnDTW3ksihjQiiNG6EKCAqLgJL3m1XHosSrqrFjG69EzW3EkuLI2cWYyWjGLEwifZDpHoaEF1+tOFORE86med8imTPCZIdx/AteS/J9gMgyYCAqNpuT7IngHvqCsZ23G+bOUTHcE9bgezNskU2BAEjGrSlLC0BbbANyelFzSxBcnqRfVm4a5bisQyGn7wFyeklsOoaBEHAjI3iLJ2FIMkE9zyMt/YMzOgYya460lZejRELEj/xAtnzzicRj+GsWkqk7lnSFl2COV5tTTKKOC5gkuiup6C4GsuymD21AjFWT0u/iSe3DD0Rw2zayv9dfzXzZ89i245dJFMaq1e865Sg2NzSyld+dBuDriJ6m+qwiueTHw7jH6+XUBSF4hnzuaZGIL8gm2WLzyE9Pf1NGcuvGdO00xJvErIk8tHVVdzwyDFuea6Jz51Z86Yde5L/HiaD8NuM937oMxw7tJrfP3kvCALLr3kfM2bN+Zefx1XvuYgnv/B9rBnnTLQGJYY6Ob0672XCHl/75HV89Os3MZQ+Dd0UsEwdrz9AhpVD58HHkLIr0SOjpLqO4axeQqKzDu/MtSTaDqJklxA7vgU5vRD/oktJ9jYS2rMe2Z9tz2AVh+2tCwguP/pY/4Tnr71ObKENdaLkVBI5+ARqwRS797a3icCKyxF9WWjHt2CM9uAomYmSnoccmI2VimMmIsRb9iE6fahpeViJML75F5IaaGFs+71I7jTSVl6NmYphJqI4KxcQb9hB9Ohm5EAOjoIpRPY9jKf2TFJ9TciV6YCAoLqwBIHwvkfxVC3G1JPIGSmiTXtR0/KQvJnEm3cj+bMRnR7CB54gc+1HkXyZ6KFBzGSUZHc9yb4WHLnlpC1/H5HDT0M8iGFZiA43lqEhpReQ2vMQYyNdyGn5OPJtQwfJk4azeinh+hcQfTnIBVNQ0vKxhlpRvQFGn/ktnulriCZjpAaa8VoJ/NMvIHH4CZatnMaCObNp6exix8FdZPi9fOBbn5joxT99zaqXjRXLsvjaT35LfOq5+EQRQ/HS2dtP/4gPj9uNJNnjxxnp5cLzr3tVs5W3HMsA3lzd5/IsD5fMLeSXzzaxsjqLhWVv7sPyJP/5TAbhtyEz58xl5py5/9Zz8Pv9/OLrH+emW++kJ5TCIQucObOc6z/4oZe9Nz09nbt/8T2eeuY5jp5o4qn2YdyFeQhFBWRXz6Xh0D5GB9sQLZPYwcfJvPArthDGYDrBHffhrlyEkl2GlYqhZhSSdc4nGX3+j3ZBFcK4d64IegpkdVxPeaZtTBAeItawHVflQpSqRSQ7jxE9sQ09Okq84zjxhhdwFs3EMWUZqYE2kt31qCW1duWyZY4vdatYWhI9Mkrk2Gb8c89DdvtxT12OlYohufyIkoLg9BEODpBx5kfHzw0cRdOIHN2MoDiRvBnokRHiJ3chOTwEFlwMkozo9JDsaUQftd2yQrsfwF17Js6CGox41PZD9qaT6DlBqrseR+E0lIwCosc2IarnIyhOTC2BaRp2m5BiS3piGsj+HNJWX2MXhPW3EGvYjmfaauIt+1D82UimQXz/BhS3H19yAHwZuKetItKwCwETQU8SG26n49Gbya2Yzp0NFncf2Uqe1sPP/vezp0hLvhonT55kQMnDO169HyispKduD6lALqPBIFkZGcQH21lW7Pn3BWCwx9Fb4L1w0ZwC6ntDfPBPe3noY8uoynn7K+ZN8vZhMghP8oqEw2EOHD7KOasWcOaaVbj+qo0EoLHxJA88/jQ+j5sr33UhmZmZnHvWWs49ay1nrDzM//36XmJ5c+gZDqKFBvBkFeCtvYq+x3+OER1D8qbjql5EargTyZuJERpAVF12QEzGkFw+tOEulLQ89FQUZAfJkU4EXUMf7SHetBdLT2FEx/AvfS+p3hOoeZWYcTsnrOZWED26iYw1/2OraAkirtLZxDOLiLUfQS2dhZpbaatQAJaeREnLJSE7GH7611iGZotSWMa4wIaJMdqNa3wZ+MX8oiCIuMrmEdr7MBFJQRvtwdQ1Mk67FjMRBiyM0CBqThladhnuqStBEIid2Iam2EVgosOFqSXR+pvxzb9wIsDLmaVEj27CVblwYhnV0FJIqoGZihGr34J/8aVgGgiCiJpfbbcgHXrSdkCSJCTVibNwGsFdD9I3quNffgVGKoGvZhGq24+Fxcgzv6M3ZRIbTeEzmiiet4YxpvONH9/KbTfd8A/HSiqVwvyrtjdBEJh6xnto3fUkYs8wYUkimYhyuKSKj37lO3zuuiuoqap8U8bp68Iy/vF73gCyKPLZtTV8e0Md19y+h4c/sZxc/5tXsDnJfzaTQXiSl/Hoxk38v3ueIpkzA6dD5baHv8OX3n8hq5cvAeD//fp2Hq8fxVE2D2MkweNf/xmfv2wtZ51uL1UumDube35SwRe+/i1aG/oIZBaipucQj4fIXHkFQzsexDN7HdpQB3qwD8vU7KVZScE0dFI9J9DGBhCc7aR6G+0ANdiKZ8oKJG8Gqf5mEEV8s84CSSZ88EksQyfRfph42yHktHxEKQs1PQ81t9x2URrHWbmQaONOzEQEedwGUUjYKlBmKm7niCvmgWURPfQk7tq1WJEREp3H0AbbcRTPxErFERQnlmFXXVuWgZJZjHfO2cSb95Lsa8bSEgiyA9HpxXJ67ermVBzL1BEVJ56ZpxHe9yiC4iLZcxLJlzWeC7dn/pahI8oKak45kaOb8S+4iETbQYxExF4RAKRANo6MAvRYyBb9UBxI/lzktGEwNASnx37IMDTcVYsI73nILuDSNZR0e0aaiobQZA9pK9+DLAkk4iHqN9/PjHVX0h6xH8a8Xi879+zl6S27KCnI5b2XnD8hogEwbdo0MhL3oPOSnrIoKxRm+Tm9spjnhv348ioxgS7T5DM/vJ07b/z8RDX1vwzzrQnCAB6HzJfWTeWbj9Zx5e9289trFlCe9cp905NM8tdMlvNNAsDho8f45g9/xhdu+B4f//6t9OQuZVhMoy8hEy5dyU/ufJRUKkVzcwtPHB/GXb0ESVFRPX7UGWfx6wefQtdtUYzHn3qGq7/0A9bvayGsZhLylzGmq8SOP0eaCgImifotKJmFOEtqSbQewtKT6OFhwvsexUxG8UxdgWCZSIFcjOgIGWd+DGdJLXIgB/+Ci1DSC9BGehAQcVctJNV5jFjrITLO/hRGeAhn5UIE1X1KAAaQXH4ESUYO5JJo3o/kDiB50hCdHjtQJqO4KhbgqlqEZ/Y6ooefIlr3PI6i6fjmnI0+1otl6OjhQYzYGKLiRB/tQVAcJHsbSfY1gWWgh0fs9i+7FAxB9WBERuxgryeJHnsWOS0P76wz8S+6hHjLQfTQIJZlYWoJjNgYlpa0g6usEDu5E0F14609ndRgG+7KBUiyA0wTyeEBC4zIKNpQq90rLauYiTBaaAhZFPDkFOH2B1CdbiRPOslIkNjoAMlIEDMZAewZrOzNgPzpjLQdxxIkdF3nMzd8n288eIB9jjnc06by3s9+h4aTL+mvS5LEF665COPoE8SHe0iGRkgcf473La1hT/PARDU72K1uZuVKbr/7L686FkdHR/nJr37HZ7/1Y351+51EIpE3Z5C/RTPhF8n0OvjqOdOIJXXO+/lW1h/sfks/b5L/DCaD8CT84Oe38dnbN7FPnc36oWwS7nwSvU1IqgtcAfpHQ4x6y9izdz+PPP0cSsmclx1jzFVIY2MjbW3t3Lx+Bw0JL2L5Ijy1axHTC7A8mbjnXUjv4S2ITh+5p1+Lw5eJs2gGkjeN0J71hPY/imfGGpTsMlzlc/HNPx9tuBMlvRBBlOxgOZ4PdZbUkug4jBEdQVBcSL5MZKcHKzaGIEq2k1JsbLyK+iWMyChmMoYeHkIf60Ub7rJbdBJREu2HkbyZ9kxUTyG5Asj+bOS0fAQEBIcb2ZdNrHGH3aPr9BFr2Q+miXfmGYR2PUiy96Tdz9u4Az08BAiYWoLo4Y2oRdPRR3pI9jSgZJaMtz4pyGl5+Je8i+jhpzFCg4BgV4FjYYSHSFt+Bf4FF6HmVRE5vAnR6SE7rwCfGUG2koiiYBewiRL6WD9GdBTR6UVy+UGSkZxuEq0HqVp+IYmjT6GN9aNpKQxEYo27QHEz/Ozt6LqBYRqoOeWM9bSQrybZumMPx6wiPCUzEUQRZyAbZpzLD2798ynXdfmSRTzw06/zwVoHl5VEuetbH+F9l5xHTHj5sqzi9tE78soWg+0dnVz1pZt4OlRAU8YS1vcFuPrz32ZkZOQNju6/4i2cCb9IYbqL715cy/zSdD5z3yG++MBhYqmXy71OMsmLTC5Hv40Jh8P89s8P0NQ9iNcp88HLLmRKTfWb+hlNTc1sbgrhqV5KKpXCcnjw1q4leuRp3MXTbYMCh4exgXYkSSTN50UfjiE7T+3ZFPUEXq+XP97/KKNpNQwdeB5nzQrCR5+ZKKxSZq4iFR7DVbUYQRQRJRnBBHflIhAV9NFu271HUDFTcTBN3NWLiTXuQHTbphiWZf1Vm4mI5MvCHBe4MMODhI88PdGza8QihHY9gKf2DGR3OqnRbqJ1z2GJIoJl4Z5xGom2QyR7GtGGOvDUnoHktkUXBEnGSsVAlFEyChBdPgTZgatqIfpIN5HDGxEUF66yWROaz86yOYguP/pYL87SOaT6Gkm07MPUUjhLZ2OEBuxZ8kgXjplr7b8nGcPSEkgOD3JmEZHjz+GuWY6lJUi0H8JZUjuRI1bScm3hET1FODhGxfLz6Ni7mXg0TjwSxNRSeGvPQA8PEd7/GK6aJZjxMCMdx5DRsAK5TFl+Lrv+/CMcJXZu2zNjDbIvg/ChjURbD+MqmYk53EZRrJv/+/SN/OwP9+LKPdUgRRBFemMCyWSS3t4+/nD/I4RiSZbOnsJ7LjrvFOvBgJAk/jdjLhEcYmrpK5uo/OS3d8KMsyckLh3+DBLVa/nZ7XfxrS9+8o0M8Zcw/zXB0KVKfHxNFTMKAvxheyu7W0e4/vQqLp5TONlLPMnLmAzCb1MikQjXfum7hEtWoubWYOoa1//0Xr5x1ZkTudk3gw2btyAX2bk80zKRxgUilJxyksNdOHPKAQGx+wgLF3yOGdOn8cAXfoA185wJ2UtT1ygURikpKWH/0eMM+pagxcIY9VvwzjwdweFFDw0yuOMvEB1FMhL2sqtlISgqenQMIzaKICkIqhsrHkZwOmzBDj2FHhzAMjT7dVnFTERI9jai5pZjGTpjL9yJHMjGVbOMZHc9RixEaP+j6IkgRjxIou0QGAbICnqwH1OzTSBExYmzbO64gEgV+kgXsm8OiLaNIoqTZNdx5KwSe2nZMu1r4Q4gB3JxVsxHdvkx9RSpoQ5EpxdHySxS/S1EjzyNd9EliKKE5E7D1FMEd9yD5MsCQBpX9sIy7f5mLCSHG7VyIZHDT6GNdBNYeRWSY3wZW5TAMlGyy0j0NDC49R5SvXMpKKsmVrcHTyCdaCiI5PKjZBSSdAUIbr0L00jhm74GV+VKhkIJHIPHcdcsI33WGjRNx7QAy8IzfQ2hbXfhzitDrH+KZ59fj9PpJDQyRNOx9ahuL/nTF6N67IcUGYMt23fxowe2oFQtR8p0cORAO5u2f4fvf/l6/nDvQ3QPh/CKCQbrnsMzbTWCKJKKhQl07+Lqz/3vK47H3pCOmHPqbUl2uGnreOWZ8+vCfLka3VvJ6ppsqnK83Lungy89eISfbmrkw6sqeN/CElzqW1CmPck7kskg/Dbl9rsfIFS8Aoc3DbALXZzTT+N3f9n4pgbhzIwA+kAYxeXB4XAgY2A5XMSHuzAjHpKhYVLNu7jtax9GlmX8fj//+6FL+fEfHmLMmYegJShSIvzwa5/ktj/dQ3vCQTLRhqWncExbhR4ZRZZUZG86vrnnkdh1N0b3cYSCavRYlHj7ESxADw+R6m9BSi/AVTwT2+3HIHpiK5ZpEtxxH66K+Yiqi3jbIVKDbUjuAImOI6h5VYiSjD7UgRLIw1W1hPCeh1ADefgXXkK85QCWoSMpDgIr38/I07/CVTYbbaQLNbcSPTSI5AkQP7kLPTiAe8pyLFMndvwFLEkievgpHHlVttaSAPpYP6mBVjxTV9oOSNExoseft4VFgn1oI12IipPo0c0IkoQ+2o+pJRFEAXfFAlshq3kf7inLQJQRJAMjFsZMJVACOaQtey/J7hOQjCLnVmBqSVsyU3Ggj3aTffFX0IbaGdt+D4WRRooWXc5I3ETVLUIN2zBNA62/BVfVEjzVC9HaDxLa/yhulxuj/xhy3hxEwZ6RCZKEZRiYiSjacCdS604WLV6I0+nkWz/+BfWpTMySUhKCyPFtGymZOgtvVj5ziwLcvv4ZlClnMDA0TEIzEASVkVgG5137GdJXXoWa6SPlDGIe2kBO29OIDg9VBRl8/Kavvar6lVO2SPzNNsuycCtvgtLVW5wTfiUK01x8/qwpdI7EePRwD9/ZcJyfP3OSD64o5+qlZQRcyr/8nCZ5ezEZhN+mNHYO4Mh5+dLzUNzCNM03xVEJ4NLzzubezd/FSjsXQRDIy0qns7uXZFcdrsoFyJJEzuLzuHvjdk5btYKMjAyWLlzAA/Pn0dbWhtPppKCgAF3X2bi3nsIlF9Hy2//FFBVS3Q3IvkwS7UcQXR4c+VOxRIWiWcsYPfAQ0YSFc/rpxJv34sitwDt1JYnuesY6jthuR/seQQnk4J21Fm2kj+Ceh3AUTEEtmIoW7MdMJRERMGNBXNNXgaQSOfI08fZDthNSIBtRdthFXpKCNV5VLHvSkLPLSHYcJdFdj4BAaqgDS0vim3c+2lAHguLAv/QyzESUocd+SGjPQ/bM1TTQgwMEllxGtGEbAKLiRM0pJ9FZR6q/FcnhJm3N/wBgaUkE1U1w+93o4SGiTbtJX345KUzChzaiZJWSGmjB0pP45pyLmYwhSArO4hkEn7sdJaMQyZOO5fCgDbaipBdgRkaQXH7UmmUcb9pB/nwXuB2YiQTuqkXI3kxCRzbjLKhBEgV7WToRpqIgm5L+bB7buJmg6kXwZ6OHhhBcfhJth8hceTnJkQ5S4REOHTnKCz0WmTOWw8goI6Eorulr6Nh9H5eums0nP/p+/ucHd9LT3Yuu+hDHZ3YhMR3T8JE7LlmpegJIi95NbvwwN379c/9wPJ63fC63723AWTBlYluy7QCXXbLmnx/s/6Ll6FeiOMPNJ06r4j3zi3jsSC8/e+YkDnmRdQAArd5JREFUv3q+mXUz8rhgdj4rqrInl6r/S5kMwm9TMrxOWrUkhgWR0BiiJOMLpOGRrDctAIMtx/ndT1zOD357HyNyBrKh4Wvcj/+MK1D8maQFfCiKSjxVzY9v/RPf/9pnARBFkYqKionjhEIhYqIHVZYRZRnP/EtQs4oBAWfJTOKtB9BGexB8OfS0nkAOD6GbbpKddXimrkTyZdrVuen59izvhTvwL7gQR341WJDqbiDz7E+hj/aSaNmLZ9pKe1bctBfR6cXUNWJHN+OpPcvuMe5vJrR/g50fHs8hC4rDVr9KhpHGc9+WqTP2/B2YpoUoKzgKqoEaLNPASkYRMFGyS0kNdeCfdz6C6iLRdgBBlvHNWoceGSJ2YjveWWtxlc3FGi/KwjSRvBm2YUIsiLN0DonWAxipJKGDT+CZuhLRHSBy+CmMeBBPzdJxi8MoiE4idc/hnLqSRNMujFQSC7uoTPFnIbrTbBOH8DC66CDRdRxP5UIUhxNdktAiI6T6ToIoEDc0BMvAX1DJSLid3s6T+BdcyFhcJ9myH8HhQTI0zNgojvQC5KxCRkaPcO/6J1CLFtLV20dcM7FECclIkl81g89ddyWZmZmM9XejV05H/CspSEvX0AUZyzIRxmfbkuKgq+dvM8OvzPsuvZBI9D6e2PUUMRz4xCRXn76Y01Yu++cHu/WvXY5+JXL8Tj64opx3zSvkmRMD7Gwe5uGD3fidMufMzOf82fksrchEliYD8n8Lk0H4bcoH33sxGz7zHdzViwk4BAzdomf/Pi6oenNEAKLRKN/66a+p7w5iWlCW4eKGK9aRn5/Pp2/UGSutZmBwmM6+ISwLVFnAGRx61eMFAgE8ZoyUZSH5slAC2ViGbusUY+Esn8fopluRvBkkhobwVK9BDY+AnkTxZWK9eCMXLCRvJrI3HUe+rcVrxoOI7gDaYDvRumdJW3kVgighqE6EaauIHN5EqrcRtXAq8YatKDkVyIFcTF0jNdiKmls1cZ7xpr0IDtsO0AgPoUdGQBLJWHUlY9vuxggPIzjcWFoC0elDdHiQ/bl2PnOgBUtPkeprwT11FZZlEj+5B9+8c+0csmUhedLxL7qEyNFn8M091y5sEwQkjx/Rm4YoqZiRYUaf+x1KTiWiJw1f9ZnoY/2E9jyMHuy3C6Zq16JmFmNklyIIEsneRuLRMbwLLproJVbzqwluu4fgyX0kI2MEZqxGTsWI7H8YRYtghIcRnV4ESWHo2FaG4iECp33A/j69Thz5U4jUPYeSXoAzv4bIsc3MOfdqNL9CV+82Op3taO4cRKeEAFhY9NR189TmZ1l72hrEUC+xwU4kj13JLTtcROs2kzbrTDRNn3BDsiwLl3Sqycff47qr38sHrnwP8Xgcl8v15j10/huWo1+NNLfKu+YVcencQjpGYuxqGWZL4yD37eskw6Nybm0eF8wqYGFZBqL45plOTPL2YzIIv03RU0mu8h/iaGMDA6Tjt2JcmjNGZKAQ62+8gN8In/7mj+jKWYoy3YMItGpJvvPrP3PPL76PQ4Le/kEihozosAtxEpbJ4eMNJJPJl2lHg90rev6ymdx18BiipCA5PRiJCEbUFsDAMjG1JL6aJRihYdtCsH0/8vgMWBAETNMAw24PMpO2trNl6mCa6MF+LD2JoDqJN+2xtZO9GXZP8fSVSE4fktc2BIg17kC3TORANqmhThIdRxEdHox4BDWnDFIJYo070Ia7MFNxjESYaMMO1PwaW7DDNJA86bY7UXQMyenBM+tMIgcexzd7Ham8FsJ7H8Y9ZQWWqWPpmn2ekoygOu1l77/+fgSRVH8rlqYhIJLsaUBOy8ORUw6iSHj/BizTwEzG8M09l1TfSWRvJowXdenhIcKHniRtzf8gCgKWaRtAoGu2C5PbT6rzCAMbfoorkEW2FGckqwR19jlITj9gkRxqR+trsaU1Y2EExQmCiLtmKYnW/TimriSeiCOJAknDYFHtVJ5/6AV8S23rQcuyiI/0ER3p55cH4/x515/oCmqkhONgCaA40AfbCfjcmMOtyDUvPfgk2g7yngterjn99xBF8RRBEIBHnnyai84563Ud5xT+BS1KrxdBECjN9FCa6eGyBcW0DEXZ1TLMxmN9/HlXB1lelbNm5HHW9FyWVmbikCcLuv7TmAzCb1NeePw+rl/kwqGIQHB8q4eNTYO0tbVRXl7+ho/d3NxMqx7A7XrpJicpDoZ81WzZup3Vc6fy7GPHcVYsmHg92d+Ct6Cavzz2JFe8++JXPO4HrngP2elP88U9G4mHBlB8mRiK7VyU7G3EVTITY7ANZ9USzNgoS92d1I8MEh3qsJduLcteZk1EEJ0e9MgwSiCXRNdxtKF2JLefwOJ3j/fQQrx5H6nuE3hnnYURHrJlJk0TV+UiwoeexErFcFUuQlRULF1HkGU7mBsapp5CUJy4i2eSGmon2XUcU0sQb96Lq2QWzrLZaCPdaMNd+OadiyCIdtuSodvmDeXzGXnmNyjphVgzDNseMDICFliGjhEetj2MdY3Yie2YqRhGeBDP9DU48qpIdjegjXQhB3JJP/2DmFqKZNsBokefQS2oZmzrnci+LESnl9RgG7IvGysRRY8M2ypYooyZjNq2iuEh3BXz8a+5FqfHz2j9NuI9zbjcAYRx6z5RdiI4XBiJmF0lPP7gY5m6fd0kCUtSGWmvJ3z0WY7U1uDQw0T3PYyYUUJssAMtMkbW6iuRVJHBk624l12FMxVD9mWAaSAqZxLbdR/LA2GSJzcRthT8osbVpy9m5dJF7Ni5C4/bTW3tzNc9u41Go/zm0W3/XBB+GyxH/z0EQaAy20tltpfLF5XQNBBhT+sIz9T3c/fuDjyqxGlTczhzei6nTc3B75ws6vpPYDIIv01xuNzE4+Z4EH6JmC7hdP5zS9Jd3b3ozpfbyEn+HFo6u1m9ZAHCbQ8w2FGHFMjDigySnV9MyZJzONF8ALBzwN//xe9o7AsiADkOE1FVSZoy569exOGWA/QJ0wmZKvH+NoyhDvxzzyHWeQxttA8rFeXMohRLc5P84NATqKVzUbPL0EZ7iDXtQXSnkWg9RCTYj6tiPo6iGfjmX2i7H8VDiE4vror5xFsPYCZjdlvRuFTki+5Klp4icnADzrK5yGl5JDvqSfU3Y9p9OXhnr7NnhKJoz14NHSm9wBbtyChA9mXhLJ4xPoOyMHUNMxFBdAcww4Okr/0IsfoXSHYdw12zHMmTjhEeItl7EtHlJ7jzAfShNgwTFKebzHM+jSCKxE7uQnR5JnqRYw07bCGPsX7bjMHhxkIgemwzjpJZmHoSKzaGHO5D8KZjiRJmbIxkTwPumiVogx24a5ZiRIZJhoaR8qagpFLokRFkTwYIIKfnEal7DkfRNERRwtQSSKqbeNNu3JULMRMxjHiE5m0bqFh7FX35hQihbKy2gxj9DRi6gJpdxsj+jaTPW46mGyhuH4Jo4rCSJE0TMZkiy+/kz7f+FLA1pVVV5bGnNvOez36PkL8MUU+SHb+HH375Y5SVlrxsDP418XgcSZJQVZUXtu8ilvFP9shbr31J/N+NKAjU5PqoyfVx5eISukbj7G0bYX/HKBuO9CKLAksrMzlrRh5nTsslLzCpVf1OZTIIv00589Kr+cu3HuODs166caR0kzaxlEvzX1no4LUyq3YG7vueB6pO2W4OnGT1ZRdxoqkV3ZNF5swzMRJRQCDS8DzRznqWrqvFsiw+8Y2bGCpejVzjJhQOc7inF6thP9POfB/Hmg4T7NjBwukSI6EIbb5S4oWnYyoOlMwiRnfcB4qL25MxYu5CcpddQmRsGD3Yh5yWR8bajxDatx7L1JHcARz51Wgj3XYe2OnBiI5hJqMIkgoCWEYKyR3ATMbs5eVYCG24EzMZRy2cBoZOovUgSnYZUmQENacUV+kc4o07sCwLR341gWXvw4iH0AZbkVw+rOgYaukc9NAAiBKJ9qMY8RCxk7sAMCLDiA4v6auuZvjJX2CEhu12pVQMIxbEjIexUgnUwum4Khagj/UiSDLJ7uOIqhv/vPNt3Wk9iREZJbLvMdJWXoGgODFiQSR3Gt45ZzP2/J9Q0gsxhBChpn0o4VEc5QuINe7AO/c8Ur2NOPKrsUwTMxpEN1LIafl2MVl/K1JFGvGGXWjhYcxYmLEtd+CdvgbT0G1HqfQCGOvGHGjCLRlMu/B63B47Z15QXk2LJaAPtOKrWIjg8iFYBn1HnsTpdGJqSWRBoKggb2IM+VM5E6kSh8PB4OAgv3xkB+r0dfjH3xMzZ/DVH9/G3T//7iumVZqaW/jer+6gNy4iYjAtx8PapXPtvPs/w9soJ/x6EASB4gw3xRluLp1XxHAkyf72Ufa1j/J/j9Zxw/pjrJmSzQdXlLOiKuufTlVN8q/lHReEf/nLX/KjH/2Ivr4+Zs+ezS9+8QsWLVr0qu9/4IEHuOGGG2hra6O6upqbbrqJc8899194xm+MnJwcai7+Ij9bfwuVZjNtIyk29/nxzMzn8NE6pk2pJpVK4fV6X/ex09PTOXNmPo83H8VVMhOAeF8zi7ItKisr+PrP/oCnZhnxZBLR4UMUReTqFSSPb+Csm65j9959dDtL8YyrZg2NhZHT84kOZHL00d8hFMxAXfZhjmqj5OonKE90cSzkwhBHibUdJX3NB4if3ENf5kr0wRYyvNk4ZC+apiF50uwJiyDaPr+ZhXZxl2VipRIIqtOuhk5EMGIhBFEiVr8Vz8wz7KXb/hYiR57GWT6PePsREi0HwNAQXV6SXcdRcsrtFqW0fERnk50DlhQiBx7HwgLLQnQHCB971m5fklVAQBvpxFOzHFfFXATVbVdmN+8j3n4URY9h9Tfgqj0T0ouI1W9FH+qwK74tEzMRsQu0gFR/C57Z62wzB0ObsCNEZNwUQsca147G0DETUZJDHTizi/AueQ9KtJ/RjnpMQ4fxvHi84yhmfIctXmKZJI89gyC7MOJj6GN9OIun4yidjRkLYmExtuVPmKkE/qnLyc7NJiuvCLWmho4dj4Ag0t3XD4DX7cKVXkC0px5VMDAxkVUHQvlCXOEOhg4/Sf78MyfGVaLtAB9at+KUsXbf+iegdMEp2wRRYkDKor29nbKyslNeSyQSfO6m2zBnnIcyvmRdF48Q2ryNQCj1usf6KbyDZsJ/j0yvw84Tz8gjktTZ1zbCU3V9XH37HqpyvHxwRTmXzC3EqUzmj98JvKOC8H333cfnPvc5br31VhYvXszNN9/MunXraGhoeEWf0h07dnD55Zdz4403cv7553P33Xdz8cUXc+DAAWbOnPm6PvvpRx5g9qIVVE+Z8rLXDMPgj3fexbGGZt5z4TksW/r3xTSCwSDPbNmGx+3mtFXLGRoaYsvOvRQX5LJs8SJEUeRY3XG6QjpDhadz++EZyLmVKFPySCUTfPj9l3FWuUh5jo+wq4TTrvws02fPZ/e2LYTGhhlLWOw4cJSCrHTKKiqpLCmgqaOb2OgAY8ODeLOLec/5ZxG+407WP3QjaT4ffivESZefj3368zy1aTtqeQhdSxBvP4KgOJBdXiKxAT7zpa/TMzhMNG8lQ51dxGJRYvEEMEgiHCLWVo/bkDG7T2IMdXLSMtB6G8B4lJToRHG4Cde/gCN/GkpeJYnBTiJjwwiibOeDR3pA10m07MfUdfxzz0ZOL0TNryG45yFclQvQR3pAkEh0HcOIjKBklRLc/SBWPAwODyhOwgc2AOBY8T+Et9yOlYwjedMRvRkkuutJDXYg+bMQFCfRpr1YyQiCJOOatpp4/RYkXwayPxs9NIhzsB4trhE+uYtI8z4kpxvR5Ud0+Ei2HyCzohaPWyV6YjOjbXWkLNEOpgNtCOpxhPqtSLKMvy4LSYujjwdEMxFFzavAMlIYkSBaeBhhPEdraUlMPYUWGkAPj6AH+9BjYYxoECMWRhvtJDXQipJZgh7sI/OsjyOqLjvfnVPByDO/RQ8OoqTnIXnSQXbYRXCiTNqqa5CHW5AGG3H3DRHuO8aS6aV0agmauweQFAeCKDI82ouBSLi7CTOZQMkuwsytQdM02vc+TZ7PwfRQGsmoBz0WJNHTyg+PbWb79heomTIdQ0tx6FgdZv4aQr2tjHQ1Ew2N4vIEINzPtp278Hg8PL99F5lpAVatWMbDjz9FrGA+rr/KGYuyzLZjbRTK0df1m30Zb/Oc8BvB65BZMyWH1TXZ1PeF2Xisl689dJSbNp7gysUlXL2kbHKp+m2OYFnvnMfDxYsXs3DhQm655RYATNOkuLiYT37yk3zlK1952fvf+973Eo1G2bBhw8S2JUuWMGfOHG699dbX9JmhUIhAIMDxb86nLergpHMuH//mzRP6uPUnGrjgus+TKpyPnFWK3t9IpdnL0/f9DkV5eeHEvQ89xp827SeZMx1TSzC4az1p5TNxlczGjI2QGWrCKVn0qkXE1HSatjyEd845mKKClkyQtvfX/GxljByfjEMw8btk7m72E8LLRcVBhns7ue+kwvrwVOTqlYiKE2GsCys6jJyWh97bQEbZdDoObcMzZQX+oQOskw9z9lQ3Q0mJO+pE9oqzMS2w4kG8c89FVN3EGrZhGQauygV2D6og4q5ajCArIClEjm4CBNv4wOFGzizGSiVIdB1Dza4gdHQzssOFZ+bpKJklJDuPEGvai2fGaegj3XimrUJ0+dAjI0SPbsZZscBWojqxlbQVV9iFTP1NKJlFOAqnYY71kqp/hpQzA//CS8HSibUdQes9gat0Do7SWQw+9SskWUHNKkXNLkXJLkUbbCc50DJeFXyIZGcdrprFOEvnYISHiDXswBIEvDNPJ7fpES5Kb2ZpnkFzROHPJxRaaq5BcLiJHX8eR24VSm4F+mgPqf4Wkv0tSO4AanYprsqFGLEg8aY9CMMtnFEQ56qZAqFIjO8dyyc27SKEjCKS3SewtBSR+udxV8zHN3sdSAracCfRo8/gKJmFHMgh3rQbIxlHlCQcxTNJ9TYiOn0oOWVYyTjaYBue2tORXH6Sgx2E9zyEo3Cabb2YjJJoP4R31ll2UZtlEdr3KO7qxUQObEAJZBPvPI4lygSWvAclowAjFkJUHMQ77QcdIzSIBYiShOj0I2cWog93IYX7KXDptA5FUQpn4CydjR4ZIVb3HIHpy1FFk9GGfTjK5iKmFxCt34qkunEUTycg6USb91G6cB0OlwP/UD3VeT7qAkuQVDtwDLUe5+TBnWixMHJWMcOP//R13TNe/P1u+uJ8POd/Hwrnv67934n0hxI8VdfH8w2DKLLA9i+fjm+yiOtty+ueCcfjcfbv309GRgbTp08/5bVEIsH999/PNddc86ad4IukUin279/PV7/61Yltoiiydu1adu7c+Yr77Ny5k8997lSVnnXr1rF+/frX/fmFaQ6m5cvMGN3PQ3fcymUfuB6Aqz79DYSFV+AZr9h1ZBTQMdTON3/w//j+DV8+5RgDAwP8ftNBHNPXIgMjLXVEi5diZRSTnpGDkJFLS0+AkUObmHHO+YQ6GhEcbnSHbV4QO/4C5xVL5GR4beUmQSCU0liX3sb+ITcB3ULOSSfW6aKo9iJG5CwQZcT8arSeEyCY+FZcTefjP8e36n+QtCjXaIc5f14eWBZFoszMIotPPdfJEb2EwOnXjbcPifgXXky0YTuiw423di2jL9yBEatBza0k3nIAR161XbSkulCyy+zgLIg4S2cT3Lse2eEi46yP2WYHgJKej5JTQaL9KJ5pq4g170Xrb0HJLcc39zxEhxvR4UbyZjC2/V4cWUV4p63EVTQNWbQgvwyroJTB5/+M7Esn1d+CGR3GN+98nMX2KockWPjnnIfo9uIomDr+uYXj6lbHUHMrcJbPQfZmIgdyIasER8EUwvsfxTz5At+YO8KUzEyMyDD5GQoLyr184tBROq3p+OdfaOtACwJKWh5yZhHCcAtpbgGzaj5CVhmqICD5c5h76Lt8c40PUZL5dkuA4nXXMhQXCbmykKYsI3ZiO4IoI6cXETmyCSQVbbCVwMor7SV4WSWw7L2E9j2Gs2I+ViyIs6QWR9EMzHgIy9BxFs8kcuRpvPPOJVr3LJ5ZZ+EsnIqViiNml6LmVhA5/JStCDbShZyWi+hJR84qRXB4EP1ZBFZeTaxuC/HmPciBXIx4CCW9EM/8C+x8eMM2LC2JHhzAv+gSrJJZxJv30HRiO56pK3DXLANRQskoxFFQQ3jXg+gZ+XgXXgKqGzMexlU4HUfZbCwtQUxL4ln9AXoOP8HMdVeg51ZQd+ABEhl1eCrmY+oazUd2gyfdFiNJL3zdv9v/RnL9Tq5ZWsbyqiy+sf4YzYNR5hSn/btPa5JX4XX1CTQ2NjJt2jRWrVpFbW0tq1evpre3d+L1YDDItdde+6afJMDQ0BCGYZCbm3vK9tzcXPr6+l5xn76+vtf1foBkMkkoFDrlv7+mJF1lqMEO+gMDAwzqDtuD9a9QMkt4as/xlx37wQ1PIZTMm/j3YPsJnMUz0AWVZMJWzE0aYKhewsExfLKJHhmz5fZECUFSyHXpE7ktC0B24hAMEimdWEoD2UG3mE+GV0FKhhFVJxYCSsFUEoOdiIoDfNko6XmkNz/BWTUuBOziDwSQRYFK5xiOvEp7eVNPYaZiCLKKq2IBie4TCJKCnF6ANtRJaP8GYk27UbJK0UODqAVTwdQRZAeCICDKClY8iJJZPBGAX8SRU4ExZhdjucrmYpk6giiT6m3ESsXBslAyi5DcflRVxVsyFUWyz1UAUL24M3IJH9xI7OQuu8I3Okbk0EYSHUftpdrwAGr+SykEQXEgqE4QJfTwEI48u+LWMjQARIcHQXXj1KNMzVbtHmdBQhAlPE6ZGrELIzyCklFoXx8tiWVZVDXdww/n9vKnVb18IfUb8vb/EsvQMcMDvGuKhGAaxFMG/Y4SJFkh3WlhhQcw4xHcU5cjqi7cVQvxzTsfV+UCnOXzkFyBCdUpMxHFM20Vqa7jpAbbUAung2UiOrwgCLZClayiDXUhSirOoqm2I9WLVeOKA2QVPRYi1rADV/l8kt31KJlFyOl5OAqmISLgmbIM0eFGya3AO+ccXJX2zFFy+cE0bUnN0jkY4UFE1YmjaAYAroqF9gW2TDufr7qRAjlo0SCi04fk9JHsOoazfC7iuPyn4HBjGjqGw08qFrYFUdLKmCoNEOs+wVhnI3LBdMxExL4W0j+eM/yj3+9/E4VpLgBah94kP+ZJ3hJeVxD+8pe/zMyZMxkYGKChoQGfz8fy5cvp6Oh4q87vX86NN95IIBCY+K+4uPgV3jUufi8ICK+4mm8h8PLtkiTx6qv/wvie9v/sm6+AQ5WJ1D2PZRgIipNDYz67ZUZ46aurGzCYWhBgoibyxc94tSLJF4O4IL7K+Yy3+KRi9ntf/CxDR7Be6jF1lc/DN+dslPQCBNU18be/8p/4ytfJAhKdx0gNtpK28mp8c89BziohuOdhTC1xyp/xStfUAjzTV5Ea6kQQwFE4Dc/sdeN2hq+SA7Re6XT+5mKdUmH60pvNcX9gPTiAZRkIgkDWyfXctHiMhUUy6W6Z0yoUvjWzE/fJpwAB/ZSvw7KvuQWCrCAqToxoEEtLvvL5CiC5A1hGyu47flnl6/h3mYrZOfXYGJaRHN8sTFwHI2oXacWb9+CZeQZGeIj4iW04i6aPq33ZBWRgF05J7oD9APK3JyMIWJbBxK3jxbH0Sudumi9dVYHxcfRXF95ioo95oqLXMvnaZz7GF9dWUByug1jQ7il+jQW/r+33+59P50iMO3a2A9AXTP6bz2aSv8frCsI7duzgxhtvJCsri6qqKh577DHWrVvHypUraWlpeavOEYCsrCwkSaK/v/+U7f39/eTl5b3iPnl5ea/r/QBf/epXCQaDE/91dnae8nrzUIrcGXYFaHZ2NnkODS00eMp7UgNtXLBi7suO/Z4Lzkbo3D/x75zKGcTbDyNbKZxOW4XKKVlIWgSvP0BYl8krLkUWIbzzXrS+kxz1L+P2owJJ3UIQoKEnxN1NXpZVpeF2qKAlKBF6GQonMVQ/ZjKOgEWq8xjO3DKMZBwig2jDXYxWn8/jDQniKYPmwQTBmI5mmDTG/SR7Gm3nIXdgYkYcb92Pmldl5329GST7WwAB2Z9Dqq9xYplXkBQszbYrNLQEoicNbbADIzJ8yvVI9jYhZxSg9bfgqVkGpk54/+No/U24yuYQ2vMwkaOb7L7cVIJ4+9GJfU3TJBmNEI0mSHafQHL58C95D6LDhSAIqDnlaEMdyIFckl11E/tZWgIzlbBtAQN5JLvrAcYDjoURD2EmYyQcGRzpTWLpSTvwmAb9wSRb+1yIioPUQCvhfY+RGmyjwmjHq4owrnoFUOiXKRrZTWqsn78c17BECacqka91YqSSjKYkLKcfQVZI9TcjetJIdDdgmTqyLxN9tMduw5IddsW200/02DOoRTNQcytJdhwBQcRM2sHXNHRbdKT7BHpoiGTnsYkHLEF1vfTgZqQI7X2Y8NFNeGatxYgFSQ20kepvxhLATMURXX5bbCQVx/Y6BCM6aheMGQbGWD+yPwszGSfZYX8n8ebdjF/IiYBuRoaRvWkIRhIzHsJZMot4y34sPTXeIx1FEAXkVBjF5cUyDXIJUlRUxNlrT+fPv/5/BIInkZ1e+0FlfLXi7/GPfr//yZiWxYGOUb7/RD1f+ssR6nqCfHHdFK5eWvrvPrVJ/g6vqzDL7/eze/dupk2bdsr266+/nkceeYS7776bNWvWYBhvTT/e4sWLWbRoEb/4xS8A+0ZcUlLC9ddf/6qFWbFYjMcee2xi27Jly5g1a9brLsza/9W5tCW89KUv5KNf/9GE4k9raxvnvP+TRLOmI2WVYvY3MsMdYcOfb0OSXt4isP6Jp/jto9uIZlSDnmT0wFMESqYgFcxAiI+Sm+zE71Ro0dKIKmkEG3cid+wl6s4lqOSiJ+OoGQUURE+QI4aYNnsRn/7kp3jg/32Bpb5uxvo7ue+kypPRKchlC5GcHoSxDqx4BMWXjt7fTKC8lu7D23BWLkDo3IfP7cJXMh1jrIdgez3D/iloY304cstxlc0BWSXesAMQcFXapvbx7uNI7gCyJx05o4h48x67CleUQBBxZJdhJm3fXyWjhHDjNmRZwT1lBUpWKYmOI8TbDuOdew7mWB/u6iVET+7GXbME2ZMOgogRGSbWtJt4+zG7rUgLo+bXoOZXkxjoQBvtxTV9NbI/h+ixZ3HXLLGVsRwuRNXN0DO3Y4X6ULJKUTIKkbNK0AbbSA114K5eQqL1IMm+k7hKZ+Msm4MeHCTRshdT1/HUnk5m4yOcm9bOyjKZhhGRn9enI5zxOUSXz85/yw4iJ7Yyf3QTP1qVwkwlEEQZJAlBEPjcvnzqS95Dsm4TiznG5bNcJCMhftBYSKz6PIRAPqm+RgRJRckqZuS523FXL0HNqSTZdRw92Idn+hokp494+yGSvY3IvkwchdNt/2JJRs2rQhvrJ9F+yBbSUp2ITh9GqB9HwVScxbXoYz0kuurwzb+IeOMOjMgIkiTjLJ9LarQX0elF8qSR7DqOmlcDGETrtqBkl6EWTrMFSHoabHnORBhn5QKUtHySHUeQ4yOUpyvUdw0j51bhLJk9bmqxjbTpK/B5vejNOzHSy0j6i4g27UGQFNwltQTkFNHWQxTOW4vToZAZaeHHX/nEKSIeW7bv4Nqv/YTRlIDoz2H4qV+99hsGf1OYdcGNUDDvH+/0DiOW0tl2coiNdX30BhPMKgzwwZXlnDMzf9KZ6R3A6wrCixYt4pOf/CRXX331y167/vrrueuuuwiFQm9ZEL7vvvt4//vfz2233caiRYu4+eabuf/++zlx4gS5ublcc801FBYWcuONNwL2zH316tX84Ac/4LzzzuPee+/l+9///utqUXrxR/zYX+5n9oLFFJe8XOXHNE0eeWwDdSdOcvF56/7hsWOxGDt27cHtcrF40QKCwSC79x2kMD+X2pkzEASB1tY26hubqKksY6ivh/7+PiIaxOMJPG4naekZLFk4n/T09IlzOLR/H5HQGClLYtue/ZQV5pKTV0hJYR43/+ZPNHYNkDIFSjO9/OibX+LBhx/ll1s7cJTOQdNSKJKIYsTJ69lKmj9Aa+4qxnqawTDwF1ejJWIM7d+I2xdACxSRMCSQZLRgP+G65/DPPJPUcAf6cAeeGaeDZWAkYhiRYQTFSXKoA32kByM0CJ5MXMVTMJNRJAT8yy4j3rAT/4ILQJBsLeVEGFF1ETn2LKneRkxBQh/tQRjrRqlaRmDJuxAkBTMZI960C9/8CzCTUSxdA1PH1FIEt99NaqgLy9QRFRfuqgXoiThmIoinegnOkpkMP/5T9FjEXl52eVECBchuD3pwEN+ccxE69hIa7kfJKMK/4EJAAFO3xTZMA33b77nztEFyfbI9gzQNTsYDfK3vdLTqM7CSUcJ1z2P2N6L40rEyKlD8dlGXmlmMoDgxE2HGtt+DmlOJNtKJb9GlyP4skl31mPEw2mArciCXeMs+3P4MfNFO5s6qpaaqkroTDRw6fIRYNEpmdjbnnnk6a09bzT0PPMTTW3agp5WgBrIhGSaQU0jp4nMZOfIMyeAgvvkXY0oybrcbU9foPH4AZ8sWvnT9tei6yeZNm2lu7yQ/N5tLL76I2bUzefaFrdTXn8Dn9XLt1Vcwa9Ysurq6+NmvbqOppZU1y5dQUlqOaehkZWWydPEiOju72Ll3H0eP1VFUmE9FeQX5uTlUV1Wya88+An4fC+bPe0U5S03TuPf+v3Dk2HF+dOO3X9Pv9m9/v5u+OB/PhTdB/pzXtf/bkZRu0tgfpq4nSF1PiObBCAICZ8/M4wMryplXkjYp2PEO4nUF4RtvvJGtW7fyxBNPvOLrH//4x7n11lsxzbeuH++WW26ZEOuYM2cOP//5z1m8eDEAa9asoaysjD/+8Y8T73/ggQf4xje+MSHW8cMf/vB1iXW8+CMOBoP4/f5/vMPbkC9864ccEStxpNlFaqloiLy+7Rw7cZLw7MsRFSemZUIqRrbPRd7gXn7y+Q9w3Y/uwjX1JeF9yzTpevJXFKz7CC2dvSRV//hSrcnYjvtx1SwlfnIXaAl8Cy+xA5WhoQRysCwIH3oSZ+kcYid34qpabOcevRlEjmxGyS5BH+nGW3sGiBJGLIiouhFklfCBx9GGO1Ayimz1qtaDeGefhZpdhuTLtFuBWvbjLKlFVF3jM9UokSP2UrazcCp6eNgupnL50EZ7CO97DDWnDCuVQBvrJW3lVeO5bgk9PEiscRd6sJ/AissRLDBNi2TLHryz19lGDYJd2CW6/UQOP02F2c7Z/lZqPWPsGnLxnLSU0WmX2YVpWOhjA8Ra9+GpWERo/3rSVl6DpNpLzaosMXroacSMIqRECMmXRbh5//g1komeeAF3XgWBqctI9DaREW3hT9+4jpkzpr/aVz7B/Q/+hZ+s34l/2kqc/syJ7caRx9AVL45ppwEQiUTpHR7DUt1w4lkKK2pY4I9w0w1feNkNfefeffz4Dw8z5shFNFMUiCFu+vInyMs7tQjy7cApQfiiH0HerH/3Kb1uDNOieTBCXU+Iup4gjf1hNMMiw6OyvDKTZVVZrJmSTX7A9Y8PNsnbjndUn/C/g3d6EO7p6eH9P/gzzupT/Vh79z5Jb2cbzsXvw7QlqgALMRFiavIEj9/6Xf5w9wPct/U4qeypkIriHz3BdRefzk+fqmfEVcyYoaAnY0Trnic11ovszUCQZIzwCOmnXYula5jJKIovA8syiex/HEt2oOZW2DKTqTipwQ6MyBCpkW4wdNJWXIEgynYVt6ygj/QQProZz7TVOHLKANCjY4T3P4p//gV21bggIjjcjL1wJ5I/GyWQixYaIN64C0fRNJSMQsxkHMkTQMkqtXPTpoGjeCbhvevtfG1JLZIrYH+uJDO29S4sUcKRWYyrfC6C00vk0JN4as/ESkYRVReC6iLefpjYyZ1IDi9yWh7GUBty/hS8M88AQwdJAgT00CDRhm2gJRBMQJbw1p6BICmkmvdiAHJ6MWZ4ELVwCogyyb5mzHgILAt31QLc3gDxvibmpeq489f/j2079+D1uFi6eNHLUh+apnHbdz9PfugAnmg7W/tdbE7OQJ93Ob5gKx86bSqbdhxgqPR0BFGkuaMHyxkg3naIorws0kumEu04xnfeNZflSxZPHDccDnPZ529EmnnORHA2dY2Mtme482fffcvG8Rvl1CD8Y8ir/Xef0j/EtCw6R2LU9YQ41hPkRG+YuGbgdcgsLs9geVUWy6uyqMn1Ts54/wN4RylmTfL6aW5pJeXO4W81c0LhMHizSI71o6S/pEWtWSLxAbva/dor3sMl547x/NadpKUVsmLpNciyzLGT7Tx6uI6OpmZM2YHsy0LRUyi5FbjK5hA9voXgrgfxL7wIKxkh0n6YeGcdWBZmMgJYOItriZ3chbt6CXLVQpLd9cRO7iZ88AncVYuRAzkk2w8TP7kL0ZOOmlFgt+GIMoIo4iicbvfFLrzErlburEPyZuCZugIzlUAtmk68eR9mIoKzuBbJl4k23EXsxDaSvSdxltbaueEpy0EQCO76C2mrr8HSU8Tqt+AsnU28eS+WrBDa+7At9DHWR3jfI/jmnoeFRaJ5L7GTu7AsC9+yCzDCg4R7T0Jw4CU7Q8NAECBav4Vk5zE8M05H8WcSO7oZrfs4mAZKdhmO7DJGn/09nhlrSA13ouRU4cirInpiK55pq0ByEB/tw9+zj9oVtZz/if+DwtkIRoq0Ox7he5/5ANOn1kx8j/f/7mdc4t5HWppO16CTkkxYOLCfrz4bxFtUxrlnfJhlC+bw2Rt/yUhgKsmYhd5xDK+gk1a8HAB30XSeeG7HKUH4oQ0b0YoWIP/VzV+UFXqETFpbW/8pd6+3nJdVe789eDHoHu8NUd8b4kRfmHBCxyGLzC9N5/rTq1hWmUltYQBZmszx/qcxGYT/w5lSU40jsoW/NWtQLQ09Zwrhpt2YBVNQ86rRg/1EDj5B5uyXqinT0tK4+IJzTtn3K5/6CI2f+RrheacTTFoInnSw7ECjBwdxT1tJaNs9hLffi56I4KpchJpVjHvqSrBM9MgoYzvvJ/OsjyKIEhYgp+fjnraC0M4HSXqzxvt8i/DOPY/wvkeJHHsWQVFxls1FcnhwVy5guPUAwRfuwEzF8Ew7Dc+ss7DiIWRfhu2E5PSSftoHbOelWBDJ5cNVvYRE93H8Cy60VaFUF0YsiCCrRI8/j+ROwzNttV2s5MskcnQTroqFxE5sRckqw1k0lUTbIYzYGEpOGYLDg+zLJNldb7sgrbic2IlthPc9ilo4BVFxkeppQBtow125EE/5HERBQJx/AaH9G3DkVIA8SKp5HzPVbs4d+iFVWTKb61080+dFd1egR0ZItB9BG2xlzNT5xcOjZK2+GlWzKM4vQiuo5v9+8Ufuu+V7EzOjYNNuCmsUWruGbIlNYEaZj9oRldCiy/jVH+/l65/9GA/c8j0eefxJvnXbA+QsuQh3xkudA3oyRrr/VE/f0VAE2flyAxFDchCN/pOykm81wtsjCP9t0K3vDRNJ6qiSyNySND6wvJzFFRnMK0mf1H/+L2AyCP8Hs+m5rfzp0c10tnURaWwmu6SawtkrSIaGWFyewab92/Evu4pETxPRY88gKk78Pi8pU+TRJ59i2cL5ZGVlvey4sViM3pSDsmlVHG9qw5QUwMJVs4z4ia14a9eieAJ4HBJm6XlE67fgnXeB3RM6bjOoZpdgJmOIDg9mKobk8iMqThwFNXimLkdy+TCiY0ieNPTKBTgLp2FZFtG65/DPO5/USBfu6sWkBtqwxnpJtB3A0pMIikqk7nnbf9iTjt3bKgEGgiSPi38EiJ3Yjh4ZRhBELEPDUTQdV9kcu692HMnpw4xHCO1/BFfVEszYGMHdf0EQJRyF09AGWlFzSvHOXEtw919wFs9EVJxIgVz0sX704ABGaBBRi5Ox6ioSnXWgp7Dc6cgZxbinrcY48Qyu8lmUjOzmJ0sTuOVMjPAwU7J1pqSHudmcSuT4FlyVC/DNPst+YBAExg5vJmPxJXT1DVBeXMiQmktTUxPV1eN2f+OOQbp5arZJEiwUl5f2XtujWlEU3n3xhWzZd4yTrlPNQKzm7VzznU+esu2Ss09nw4/vQ6k5Nb2RFu9m6tSpb2CU/gv5N82ELcuiczTOse7gxEz3r4PudSvLWVKRyZzitMmg+1/IZBD+D+Xg4SP88C/bcU45k8oKi+GRUYZOHiL0/O1cctYqPvr5G5i79mIG9zyC4PCQGuvHMlJQMpvtx+s4+MsNqMJ6StUYv/vJtykve2l2nEwmMSQHMiBY5rj7EAiSgpGMooUGMS0LLR4l2+8moTiQRMku2BMEBElGkNQJFyHRYee2jFQCQbUVvEwtgejwgCAiezPRQwM4imcg+3OItx2yZ63pBQhAxtoP272uA80IkhMj2EfmeZ9lZOMtmPEgkiQhYaIbFsa4+5KSWYyzYj5GZITIoSeJtx/DXfWiG5cduJLddcjpeaTPej+xxp1YqSSiKwBaEiwLbawP35xzMZNRZH8ualYJosOLq2wOlpbEiI6iySo5WVkkvOlYhdMwRntQvLaRgpKWhy5IYOjUugZxmzGsJLaTlKFzWkGcu3c9S9w3GyW7DFFxYqkpBMWJnF1GaqgD/FlougYIpwivOItmMRJ9GlGAF8sk+0I6/Z4aXIaO33nqT/8HX/00X/3Bz2lsNzBkF+nmGB++eAUbn30BRVG4YN0ZeL1eSktLOW9GFhuO7cBRPh9DS0DrLj7/3nUTeupvW/6FQdg0LRoHwuxtG2V/+wj9oSSqJDKvNH0y6E5yCm/zX80kb5Q//OUJHOPFWAICWRkZZC0+HX/LM3zmI9fy1DPPk7XgPKInjhAODeJfeAlGaAAkGXfFPKKNO5CLptI02sPln/8uf7zxy0ytsZe009PTyRajjJkGXqfMSGgAwRUg1d+CHMgjcvgp9LE+vGk+NMOyHYUsE0EUMU0Ty7QlFo3wkC1vqacQXD60vpO2UhcWgmEgOJ1gmaSG2uz+5OAAosuLNthB+mkfJNnbgD7WT/jA4yhp+TgLppDqb7WNIEKDaME+1NE28vNzkURIGdDReAAlp9yWTIyHkNx+AiuvIrjjXkaeux3vzDNR0vNJdBwCScGMh2zhDEPDXbUQ0ekh3rwf0e3HnVEAoojk9KHmlpPoPo67arF9xSUFJbOIeNMeBiJD0NGEFMhFDeROqF4l2w/hzq/C7D6CYMbH7Rs9EyplsqRgjXbimHY5osNtT+pVF1YiYvsF9zagBrKwTJPMZO9Ls2Dg8o99mVu+0UJVbIxcV4QjY07WD5fhWnMpqYatXPeZ954yXjweDz//ji10EY1GeWHXfm55dBdGwSwsI8mdT/+AL151LqetXMZnP/oBLmhq5oHHN+Hzu7j8Q58hMzOTtz1vcRDWDJNj3UH2tY+yv32UYFwjy6ty1ow81s3IY3F5xmTQneRlTAbh/1DCcR3El1dOxsZ90V/Yc5BAxQKm5Vex9+HfEa17BiWjCCMRJdF+BO+M04g17SJt7lmMHB/klj/dzy3f+9rEca6/8kI+9OXvkT5zOQGXk56Wg8SPbyWVWY3oTseVU85Q8x70wV5EbwbaaC9yegFoccxUHCM6SmqwDUduhW0v2LIPU9cwomNgaCCrCJKEPtqPFMhGcvmxLBMjPIxnxhpAwJFfQ7z1IGpOBXpkGD0ybFc5+3NIddUz1RvD3XA/bR1TIK0AYaiZuUIzx7RcTFm1daQVp63NbQnI3kwSbQdJtO6zpRxFEX1sgGjDdhy5FaT6TqJkFOGZsYbYia3I6fkkmnajLLwY0eHGCA2R6m1C9GWCYZBs2o2cXoB3xmqM8ChjW+9AXXABerCfRNthnJkFSKFepq9+F8d++wT6vDQUywQEBFlhf0eM3sAsjOFOHDnl9sOLIGKZBsmek8iKgtHfjHNshG9+5n9OqZR1uVx84cd/4siB/dx91x85ltKQC/PI6nqBD73/HKZOqeGVCAQCtjXnpv2o09e+9EJmATff/TgrlixEURSqqir56qcr//mB+q/kLcgJ64bJ3rZR9raNcKhzjLhmUJrh5n0LizlrRh5zi9MQX+F3OMkkLzIZhP/D2Ll3H7+6ZwN7Dh3HShUR8AfIzc5CGO/nzXbb1ZWFuVns7R0lHhpG9GXhm38hpmkgCCJmKka07jlkSUY3dCKRGE/tPc4Xv/0jvvjR95OTk0Prwa2sP62bJ5r+TH1vlI+USlSfHeWTe530zH4v2kg3CcmBPtCKloiQ6GuxtZFlJ0ZkGEfpbDwz1mDEQkTrnsU//2IQLOLtR5BcftTcClureqqXWP2WcW1owV72HvceFiQFQRDxTFuF5PZjGTrR41sQXX606CixpMZQ9jQsVzqOtHxcpTPo7T9EWv2zDJsGoqTYblTRUURFxb/oUsx4ECwLIzrG6At34CypxTd7nR2UTYNkTwOjW/6Eb94FRI9sRHSnMfzkz+18sCed8NFNKGl5aOP2jEpmsS25aKYIrLiCyP5H8RZWEZiyGDM6it9hkRpsp8dRzjf26vxPdZgCr8gLnQb3D09HSyvAGu1BDw0gezMxklE7rzvcTL4HPnreBVxz+edQFIWBgQGi0SilpaWIooggCMyev4DZ8xe8rjH0+Obn0PNr+VvzuzFfOQcOHmLxooVvzmD9VyO+eXZ+Sd3g2RMDPH6kl+FoihkFfj6+ppJ1M/OozplsHZrktTMZhP+D6O7u5v9+9yjKjDMpy1lE/fPrMaeuxmKInDQfRsNzfOozttrZVe++iMc//306gyae6iUAthmFYCE6PFi6hphZQrj1sG2ZN9REnXceH77hx9z90/9jrPUIaZkC768VaU2PgOpBUANUBXT6FCdqdhmBZZehte7DW7MEFCexniaiBx9HSsvHXToLU0+hj3Thm3s+osOJZRpYyRju2jPQQ4MIsooggKtyEWPb7kLJKcc360zbucg0iDfvwb/gAiSnGywLQRTxTF/N2NY70UZ7icx9P87KRZjJKJH658HpQ8tfTOTITiTTnukCRI89j2fmGePmBCB70hFkB0pWCZ7atZipGKLDi+j04vZno4eHiDftQk4rxL/wIvToCOFdD+BbeAmOvCoUXxbhI0/jKp2NER1FUp3ITheWZRJORjGGO8mRI6hGjBnTpnLuqlJ+O7yEA6MOvhZWUfoGiObNQSrJIfXYj/Bn5xPb+yACAkU5aVTlBLj8c1dy4TnrUFWVkZERvvT9n9OedGHKTtK1QT55+fmsXr7kDY0jp6pimfGXbRdMHfUVPLLfMbwGF6Z/RCyl8/TxfjYe6yOS0LloTgEfW1NJda7vTTjBSf4bmQzC/0Hcfu96xOqVtoGBx8/00y+l69BWgkdPcs5Zy/noNz9OYaHtyer3+/nxFz7I5dd/Da1gNlpkCMnpwzIt9FQUy7JIDHUgOT0kExHyyqchKQ4ihYu47EOfoq51gHuzSvDFurk4W2ZuToLOsExvUMc0NLBMJNVFQtfRQsNEGncgSiquivnowQEiDdvx1a61dYw9tk2dIIi2WIYgICrO8eViB6LTi6NgClYyihEPI4oSsj/L1omWFNvIxzIQRNE2YrBM0pa9F8ntH3cE8uOdewGR/Y+QNu9cYrhg/2NI3kwESUYLD5LoOoaViIJguyQ5S+fY7kXxCKLTfUrVtKg4cc9ewti2u4jVP2/3KSeiGPEQanqB7WT0ogWkJIOewEjFCDfuwlU6B1FVcItDXPfu81myaCFlZWU8tW0f9eEIfScPg6xC39NgGqQXVbK2tpT/+8x1FBcXI4oi7e3t3L3+SX78q9u58pJz+c4tf6AnfwVO1e4GTwI33rGB2mk1ZGRkvMJI+fuce+bp/OHJ70FmwcQ2yzTJiLYze/aH/6kx+m9FfOO3u1hKZ8ORXp6u6yNlmFy2oJiPrq6kOMP9Jp7gJP+NTAbh/yBGIzHkjJek6xSXl/Kl56CdcPGV66/D4zm153PalGp+8vVP8r0nG3CVT2EsGCQUiTKWjJDqa0TyZiIFsnEUTyPutFuVeusPEFan4lxxDnFtCNUJv9q/EVdLC/GyVfTmuEjseRhXyUyUrBJM0yTRfgQ1qxTPjNPH3XNsK8Bo3XNI3izbhzirBMs0MXXbds0yjQkrPSMWQlCceKauZPT53yP5cxCdXlIDLbirF9mB3OXHEmTMeARL01BzKzBCgy/ZKgoCgsNHaqwPh6jjXPY+woc2YsRDYOiomaWoOaUgyra616EnSfW34KpaPF7QY6uKWZZ9jqLDg5pTjrf2TExDR0kvssU74iFEWUEPDiJh4p+zDtnhZfjYc7hrz8ThdKLHI7RLIp/91XqmbW2nwhHmQ++9gDve/1lcc85DySnHMjTijTtxOiz6EhL5+fmIosgd9z3EnS/Uo1TYAhobv/UbQgmd4pJT5Vis8qXc/ZfHuP5D73/d48jj8fClqy/gp3dtYMxbhmDqZMY6+Pan/ucVtZ3fMbzB5ejusTj/b1MjI9EkVy0u5UOrKsj1/638zSSTvDEmg/B/EPOnVXK0rhtXVuEp2zMUDbf7lZ/YT1u1go1bdrG/4yjpJTPpbm8h0rgHT/FMEiNduGqWobg8aCYYus7Y6BCOmmlIDg/DiSiRYJR4+Tp6T+7ElTUHhysTFYux5/+AqLrRBlvBFSAw8wzbeUh1IqgORLcfPdiP5M0gvO9RMs60hTsc+TVEDm/CWTobADMWInL4Kbwzz7ArrBUXzsLppAZb8dQsI9a4C9eU5VimAZpBaqAFy9SxdA1BFDFiY4hOH0gSRjyIceIZnLKIkQgjCALeBRcSO7QRyZs+7qsLYOEsm0u8/SjhvevxL7wIyZ2GqSWJHnsWV/lczGTEtuuzbKMJtXAascbtBBZegjszD8vUGd3xAENP3oIliriql+FQVTAtLEFG9gRwVi0mqTjoyqnlezf/GueUFTiLpmFLiDrxzT6L0Z33Yualk0wm+dPdD3DzQy+Qs+xSnKoDEJCLZzNSd4ACQ0f6q+VW2eFmNBR+w2NpzYqlLF+8gMOHjyDLMrNmfWQiAI+MjHDTr/5A21AUVYIz5k/j/Ze/++2fB30D1dF720b49fPNFKa7uOu6VZRnef7xTpNM8jqYDML/QVx28fls2vEtugUBV2YBRiqJdnIrn7/q7Fe9QYqiyA//94vsP3CIP96/np0HdiJmleOoWYqSjBFt2EnKn01aZS16IoRkJJEdTizLQkdCd2SBKJJSvCiSCxJh4i37cJXOwpdfQdKSSHTWkWw7iLfW9q8lGbN9Z2UHqZEejMgowR33IroDoGsgK4SPbcYMD6MWTME7ex2WqRM7uhlH8QxSQ2345p2HIIjQepDI4Y1gWUiedGRvBqLLT6xhB+6qBWAaWFoCfXQYR6wfnz7CkLcYo2kPnmmrMeIRJF8WotsPuoYRHUVUHLY2tCgj51Yy+sIdqFmlSIFcXFWLEB1ugtvuRsmtJLTjfjy1a0l27sU393xUbwCAVDKJf/nlaEeeRCmfz9ixFzDyK0CScQRyAAFBcaKnEiguD3uONuE753x0xIlcNYCUU4kj2sNVn/8uHQkH8cIF9IzGcI6FKC7Iw52RhxkcIByOkpYWmNgv3naISz687p8aT4qisGDB/FO2JRIJPvS1m4hXn4VU6SAG3HW8laFf384XPn7dP/V5bznSa58JW5bFgwe6eOhAN2fPyOPHl83G65i8XU7y5vMOXlua5G9RVZXf/vCbXDNVpGJ4JwuMOn77lWtZs2Lp391PEAQWzJ9LRUkhjtxy/PPOR/ZlomYV45t9Jsn+k+h77mGJ2MrSmgIky8DUknZ7DxZ6cMD2+3X5wDIRMPGUz8XtcmEZOs7yeQiySnKgFcmTjuRJR3B4EEQByeUnbc370RNhUn3N6LExRHcaZngY/5L3IADh/Y8R2vUgppZAG+nCVbUILItow3b0kW5cpXNQAnmY8RBqfg2OgmriHUcI7llPrGkv4d0Pom+7nUC4mRAekh0HibccwLJMJJcfMx5CECUE1WX78To8WKmE/bcIApnrrgdBRBtsI3xgA2Mv3IGaX40zr4L0JZeSqN+CGR1B9vhRvQFS8Sii04dlQcKSUJwe/LWnIfYcxe99qXJW764jo8xWmRJEATM6iiQKYBp2JblpYoYGECUFY8a5uLMLsZIxkGRipszoWBBBFMnJL0Sre4pUNIRp6ESb93JaifKaXJZeLw888jjBvPm2A9Q4ztxyttR1EY+/vJjr7cVrn6lvrOvjoQPdfHHdFH591bzJADzJW8bkyPoPQ1VVrnnfu7nmDewbi4ZRC6cjSwK6YQB2gZS3ZimfXuzhUx/7MHv2H+QTN/2eofTp4M7EjIwQ3ruezLUfQhRAH+5AyZ2CkUoQd3lA0hAUB0pGEYnOOtTcSqxUnOixzbhKZmEkIoT2rkf2Z+NZsBpBUog1bMdIxpH9mYhVi4g378VbuxbLNAnuvB9SSRLd9QipCNlT56OIJlp6GpFoGcGd96FkFKJkFpNq3UttbC9fXiaRrujEkxo/2NvGdsmNs3weRngYR34VcnohkWPP4pm6Cssw0IIDxE5sQ80tt/t/Y0Hb6hAACyM8Qrx1P5IrgKw6cfsDxNuPIk9fhalr9tK4aSBICpgmgjsdiTDBgU6yZxhEQkOk2g+RU1iC7LB9fOfPqOTgsc34ll+JLCmYlokRDZGtD5B0z0IWJRRLR993D+lrrsJCZCQm4fO4KXWl+M1PbuCehzcwFo5wyXVnUTtzxit/x7EY9z70KPWt3ZTmZ3HNZZe8LnewEy0duDJfalGyTJO++j0MN53k0zd8nw9fcSkL5s19A6Pv7UNjf5i7dndw3YpyPnFa1T/eYZJJ/gkmZ8L/pQwPD/Or39/Jzbf9gZ6eHgBWLlmMmAwjiRIOVUGVJVRJwC2Z1FRVkUql+PPDT+L0pUHHfkaf/iVG/0mya+YTr38BbbQXPREjNdhqzyIlu6BJEAQ7f5qMED30JPHG7Tjya3DkT0Eb6kBJyydt+eUoGUXI/mx8887HVTaLocd/RrRhO86yeViGnXv1TFtJsu8kWvNuiiqnURwQyPPJFPhEMnxOFE8A75xz8c08nVpvkF+skylyxvF5XeTmZPKt05wUpzlQ0vMZ2343oX2PYIQH0UZ6GH3mN4T2PkKi7SDuqsXoY3224UPLPsxkDABL1zDCQ2CaiGYKtxnDT5xHfv1dCseOkuOWUCUQJJnUYBsoDhKRMQw9haLHuSBzgKq+ZynL9pNZOpVoXzPOho3c9sPvcOGCCuI77yJ2+EniBzcgH7qf3/3gayiiRSI4TOaOm7htVZCC43fi7t5DWs92uh/8Njd98cNkZ2fzqQ9fy/9+/pOvGoCDwSDXfP5b3NOqcCJtMY8OZHDVF75HV1f3ax43s6ZUEhvstK+FZdHw7P2M4MM59yK6is7gK3c8xx/vefCfGZr/VkIJjZ8/c5LZRQG+fM7bXAt7kv8IJmfC/4VseOoZfvHwC1glCxAlmce/9wcuX17DNZddQs3tD9KdCqGZ4+VBskiB0M/pq1fw41/dToN7JmlzMkibAyPdbRzbeCdGQQ36aD/J8DCSJwPiQZCdxEYHQVKxdJ1EzwnktDy801ZjJqNYhj1j1COjOPJrbDcly7L7fWXbLSnZexIjOIgeHrALumQHss+J7k3H1byJdO+5YMFY0iRkODBdHgTVTWjvwyApLHVGsZKGvdSrawiCjN8lU5rtpOfYs6StuBLJHUCQFUxdI1r3HO6py5E9GaT6m0FSGN34CwLLryRWvwUjEUYf7sZRPANPzWJUWaQgK53K2lKWL1vGj1QHv75nA711JxmLGciBnIn+41j9C+DKoiAnk433/YGTJ5t4ZvtuyhYUs3bNlciyzK9+9B227djJrXfch1Nx4QnM5bcPbWaws4X+vdu4ZbGbkkwnP1ieon9sN7IkcliOoLxGe7uf/+5OIuWn43TZxUUOXzrG9HP48W//zM3f+vJrOsYl55/NQ8/8L0FvOpGhbrS0EhxpOfgdIpIk46pcxEPbNvO+S87H6XxzKoj37DvAPRs2k9JNfvndr7wpx3w1HtzfhWaY/OrK+a/5uk4yyT/DZBD+LyORSHDb+udQZ5w9sU2Zupr7tj/HhWeN8aMvfZhv3nInw64iQCAj2MnXPn4FqqpyqKUftdo2RR9sOkxL3UFc01ajDzSDJJG17DJ0w0BIhgkf3YSh64CJNtqHklWCNtJD9MRWnMXTkb1ZxE7uAiOJZWgkB1pB11CySuzMnaFjxsbAsIOjtOhddrGUw4OzdDY5x35Hor8NObuMoOlCdPsRLRPJ1HDVriW4/R5iOVWk1DC/PSrTrGdjijJ5Zj+DMQE5oxA5Lc92NdI1BEHAXb2Y0M77UXPKEV1pKFnF6MOdjD73e0RZQfRkYJoaUiqClIoQHxxAGt7Bt2/+DgBLFsxnyYL57Ni9h3d/+tskYk7Ch57EMnQceVWoJTN4ZMs+/ueqK6iurqK6+tSlzkeefJrfPradEUc17cf345s5l6KCPNLPWErrX35FT6SH4nSTpGZwpCuMlkzSH0zy/FMbKP/oqW5Hr0Rzfwil+NTqXlGS6RpNvObxo6oqv73xa/zst3ew/shWPDMuIt2rkh54qSgs7MyhpaWF6dP/+Zz0nfc/zJ92tOIsX4LwFrdH9YcSPHtigC+um0JeYLIFaZJ/DZNB+L+MAwcPEfKX4wiP0n9iP6ahoTjdWIbF+iee4rprruTBX36P48ePY5omM2fOnGhNMS07iI/2ttHT3IBn/oUgSqQUJ4YWR09EEZxekFTcM07HkiSiR58jbeVViIqKER0j1nqA0I77UdJycBVNIxwewdKPIQeyESSFyOGNKLmVaIOt+Be/i1R3A8meEwR33oecUYgZHESLjJDQvfjr9zLW2ITgycRdMgO9ZTfO4mlEm3YTWPZeTvbt5+vbtpNa+H5EhxsZg4aoQcu2x5HSXYgOD4LLh2XoGLExJJcfR+F0fLPXTZgshPY/huROw7vgQkIv3EnanHNweNOINe7CkRjh53f97GWCGEsXLcTnUlFmn434oj2gaSKJcKRx6BW/l5GREX79yHbUmWcxuuVhfAsvQZAVegdHqCgpIGfpu/jd1jZWlOncv6ub62ZDrlekLyzT2XE3D9wO7/ng3w/EDsleQv7bSnnn67wL+P1+bvj89VSVFXP70SSuvwrAAEoq9IoWmK+XVCrFg88fxDXtrH/6WK+FvxzoIt2t8P6lZf+Sz5tkEpgMwm9rLMsiFArhcrlQVfWfPt49f3mEn//5YRr7o5haEkd+NXosjFowFVGE3zy6lcryck5buYyZM2e+7FySXUeJSpnEWo7grl6DbtoVvGogi0jzAazcKhQBdD2JJSikhtrRhjqICRYCIDh9aIMdODILMcNDxEf6UHPK8c0919aJVl0omSUEt9+N4M3E6m3EO2st3jlnEz3+PGYijHf+eVjxKImuY0SzinFnFWOYMHbgUdLmno3pzsTqaUV0eBjzlNHPCNLhIyA7wEjhKJ2Ns2oJye46e8ZtmQiSjOzNJNnbiORNB0HEMnUEQcRVNofQ7ocYeewnpK24An9RDYIg4MgpRW/ZQ1tnFxUVFadcK0EQyPK56FMVLMtAANtOUZKIahrDw8MTrkOpVIrv/ew2nth5jN6EiKPvPrRUAo9sf9+6oJCIx8nPzaGOXH63q453VZpkeySGYiayJ52VhSq/ObSBePw6XC4Xr8Z7zlrBDzYcwlX2UuFUsq+ZsxbNfNV9/h6XnLeOezb+L0bauYjjPcqpyBjT0ixycnLe0DH/mq6uLsLOLP4Vnbkj0RTbm4a44fzpuNRJp6NJ/nVMBuG3Kdt37eGWezYwbLpQjCRzS9L43899/A0H45t+9mtu29WPVH0h7sIIgtNH8IU7CSx9N5I7gBkZJnP2PP7fXRtYtmg+DofjlP0P7t3FR0s7uPfk3ewI5SBJCoIWxdB13Gk5JGQZbbgLNaeI8uICmpqaiBx4nIx1n0ByejF1jWRXHZI3HdeUlcTbDxFvPYhvztmITq+tB52KIygOfHPOJnTgcQJrrgVBRA/2IyouvLPOwogMI2ZloORVEd63HqlgKoKhoZbNI2WKyJYFkowRC9r6zQVT8MxeZxtTaEkiBzag5FQiiArRxh24pyxDEESMyDCRQxvJWPcJOzCPCzuY8TB5tcvQvHmkuo5j5RRhWRaqYFK6YBWPPreL01evIhqN8ps/3MmR1l5UhwO/U6Kj/nk8s8+ZmHnGWw+gmgk+852bQXZQnOFhdCxIS/p8lNmleJICAgJjm3+DM5VAUl9aElVVlXnTazh6sp/r3DG6oiKBtHRysrMBqHIF6erqOsXO8G9Ze9oq+oaGeWjL00RFD04jxgVzK7n6vZe+oTHldDr5wjUX8olv3UwQD6JlMCVb5cbf3/KGjve3ZGZmoiaDb8qx/hHPnhjAIUu8e37Rv+TzJpnkRd4xQXhkZIRPfvKTPPbYY4iiyLve9S5+9rOf4fV6X3WfNWvWsGXLllO2feQjH+HWW299q0/3n6K3t5dv/2ED6syzeDEU7gkN8a2f/JLvffWzr/t4lmXx20e2oC5/P3o8iuT0YeopfIsuIda0F//M01BcPmKxOEJ6Ddt37eb01atOOca+Z9Zz3RQX50yBP+5t5Wetz1FUPZfeqGDPUGsWE9z0Kwqn1ZBrFdJ3fDvaokvAMjGitpayo2g62lA7phbHUVyLERoEQ8dKxeyeY0HASsVteUFBtFt8LJNE51E8U5bbOsyWZetMyzKO/BrMRAQlrQDJOUC8dT9mLISlJwn2NyEKEu4py21RD0BUHHjnnsfYc7/DPfN00FJEDj1l+/g63FiCiJGM2rN2UcbUEqR6TuBdtI6EKWJ2pMh3gzOQiSIrWKaJJAj84nd38Mu7HyNRsgRn9kzciKiZKnJLHdrRJzAEGdHUbdOIvOmMVdoiGr2j/Zys28SMM/0EXBYjXQMILj++eecxsvUuMk+/FtnScLpcJFr28dn3nY8QWYRc91Oqsk/NWXYmPSzIzf2HY+Gq91zCFe+6iLGxMfx+P7L8xm8BwWCQH965gdILPmVvEASSIz3c/Ns7+NqnP/qGj/sigUCA2fkuDoWGUP3//PL2q2GYFs83DHDx3EJ8znewQcUk70jeMUH4yiuvpLe3l02bNqFpGtdeey0f/vCHufvuu//ufh/60If49re/PfHvV5NvfDvxh/seQaxecco2hz+LQ/UHSSaTL5ul/iP6+vpIqgEUBFupatxxSHR6QE+hqgpmykAUxVfMGQLIDhdJ3cSlSly7KI3uF/bxfKdFIGcOqstieP/jnLF0Lkvnz+L9l13C92/x8nSkiNFwDMPClo0M9qMHB0h01gGQHOqwxTxK5wCWbcYgqwR3PWAvC1um/eGmiWWYtqiG6rJtDBUnlp6yA7UokuxrxowF8c07z36/IBA98pS9eyqGqLoAAUEQMGIhzEQUR045ztJZYFnE2w/jqphHrO455EAuSDLJrhOo/gz663Yh51URjcVprduPkgpTs+oiEj0nKCjzcP+BXuKZNbiL7dagqKEhZVXi7qwnN9OHmTcNkiE6Dmyh+vTLJq6pnoxDRhnDo6PkZGWRneZhcCyI4svEpYjoW35DSVU1WZaX9563inPWnkYqleKnm+7m02mjOBX74aJlWEMvXvWa+31FUSQjI4N4PM6JEyfIzs4m9zUE8L/lzgfWkypbjuOvCqacmYXsPFH/hsbpK/HdL3+aH/z8Nvaf2I9mCsCKf7jP6+Vod5DhaIorFpW86ceeZJJ/xDsiCNfX17Nx40b27t3LggW2N+ovfvELzj33XH784x9TUFDwqvu63W7y8vL+Vaf6pjAajiIFXp7b0yUX0Wj0797cTNNkx+499PYPsnLJQvLy8mhuaSU+3IUcGkEQ7WVZyZNBcqgT0WF/jmQk8XiyENoaWL7kylOO9+Ajj/Nsa5Lf70/xvso4H1uaxg2r3ZzXsZdv7G9mkDRy5l9IJK+cDYOjbPri9zlr/hQyUgaFUyqIRyIc37uVWF8zvsWXonjsQiYrGUNKyyN88HFclQtBkok37cEIjyDIKpH6rbjK5+IsnU2sYSueqSsRZQVTS2Cm4mhDnTgrFqANtaMNthFYcSUYmu3CJMmYiRiC6gZTx4yF7L9HT6HHQmi9DcRP7kROywdAza3EM3UFiZ4GEh1H0fpbUbOKcFQtRZBE4i37bcUvpwdHbjmNG27j45edzcnOfpKCGznnpbywKClEE3EKFp7LlZUaRfm5OB0q302OIYoChmkgIBCxVOKDHQynF+B2uUgLBPD7vPQf381nLl/Lhz/4Pyh/Yx2oqiof/Pbv+f0vv4sw0owpqWRMXcG11336dY2x2+96gPU76gi78lCTQab4dX74jc/93Zzy39LRN4QjUPmy7QnZSzAYfFPywoqicMPnrwfsFZ23gu1NQ1Rke5hZ+NpFSyaZ5M3iHRGEd+7cSVpa2kQABli7di2iKLJ7924uueSSV933rrvu4s9//jN5eXlccMEF3HDDDX93NpxMJkkmkxP/DoVCb84f8TpYOb+WA9tbceedWvCTLkRJT09/1f36+/v51Ld/yqC3EsGdzm+evp1kTz16VhWabhJpO4KrahGCLJAa7iK87xEEPcFQaACnaBFsc/DDL3/0lLzz12/8KVuGfYw555BaNo8fdDdw863r+fR8AS1rJvNWzWKfPBPlr3pPzenn0NCxnZyxCE393fR3tZBK6Himr0GwLEwtzosSgs6SmWBBqucElqnjrl6KER7CiI6SaDtIvHEnal4FqYFWjOiYbYUYGiLZcwJRdRPe/yiyPwdBcYBpILoDWMkYgupCTi8genwLnmkrERxuzFSCyOGnEJ1e1NxqRN8Yye565EAORmSYsS13YCZjyDmVOPIq8UxfbeerDR1XxQJEScJbMZdkdz0Br4dPXncNH7vhR7jTshlob4eMl4wzLMAM9TNr+jLmz5tDfUMjzfXHkFw1gEUqHkPxZSA5PETbj9HtcJGtaTi1MIszEnz8I9e9qt53VlYWH//mzW9obAHs3X+Au/d24Z66lhddcBujIb7z01v5/tdee7pj/vRq9h/qxJ1dfMp2nxGaKDx7M3ktBhGv9/eb1A32tY/wiTVVb38Dikn+I3lHBOG+vr6XPVXLskxGRgZ9fX2vut8VV1xBaWkpBQUFHDlyhC9/+cs0NDTw0EMPveo+N954I9/61rfetHN/I5y37gwef/47nOwDd245RiqB0bSNL1x93t+9Ufzv//sNkap1eGR79tTdeZLR7CUYXUfJO+cThLsbiR5+CrAwQwNkeJ1UnvdpDAQwTZTewyST2sTxWlvb2NNvMqr6sZx+FATkqvlEk2Eejo6w6Xe3ct3XbkIudGOkEoiyai9zSzK9YZ1ff/OznPGBrxCYcQ6pg5uR/dlYpoGZiCIoTtScclJd9ThLanFXLgAEtNAgRiJMxtqPgChjpmKMbf0zoj/PXnoWJIzYGI78KbgqF2BpCaIntmFER8EysbTEhB+xu2YpI5t/Q2qgGUGQbNtCWUHAQhvtxj/vAtzVSwnuuBfn9NOQpq5CUBwkuo6DqYEojfsdpyO6vDjLFxBpP4x3ynLanvsdh44cY15NMe3dLhhpJ5FdgezygmWhh0fobdhE47JCpk+bwpd+cjve0pkEhzqR82tAdJIMjaKkQhRUz2S4eTtDY93878cu532Xfv0fBoS7//IIj209QNwQyXYJXH/1u5hd+8pKWX/LPY9txlW+BLCXxNv2PE08kaIx3E+6/zd85iPXvmwG/kpccv7ZPPbc/9HvcOP0Z2KZJomWvVx9xiIk6d9TYfx6f7+HOsdIaCYXzH711bRJJnkr+bcG4a985SvcdNNNf/c99fX1b/j4H/7wSwbktbW15Ofnc8YZZ9Dc3Exl5cuX0QC++tWv8rnPfW7i36FQiOLi4ld871uFJEn86sYb2LDx/7d33+FRVekDx7/3Tu/pJIFUSkLvVRSQbkURu4K6iK7ooq51VazLurpibz8LuIpdVCwoIr333gKB9F6nl3t/f4wGY+gtCXs+z5PnITe3nJlh5p1z7jnvO48l61bisJq5+dFbadmy5WGP8Xq95NQqaFsd/PCsLi9Gl9kBd/5uzBoNlpbtMMa3QXFXoclZi6VdPyy2PwzBOc5jxtc/1xV8WLF2I05jC0KyCc1vPVcJCV18W8ord7Fy1RryD+xj17YCVL0ZKeAmqkVLWnU9F6MGlq9aR2yPYVhiE3CofdiTvRV9Qjs01mhAxZDchYpf3iRQU4o18xwC1aU4N/2Evf9VyFo9ihJCY7Ti6H8VFb+8SUhR0DpaYGrdB8VTTe367/CX7EMXnYy5/SBq1nxNxKAJoIZQQgHcO5Zg6TQUWatF8bqwZJ6DqigEa0oIluXgL9uPGvCitUej+FxoHb990Qv6CVaXYIhNQ9FokHXhSVBKwEugsgTXvvWoeisPvvEF/7nrGj6aPY2QvQ2+HYsJeJwormoi4xJIvfB23llfxJdz7sGdfC5Jscnotq8id+23hDQGQlWFZPYbTnR6R2Lbdse3Zzkjh5x31AD238++4oN15RhbDwegUFW5/5WP+b9HJpGcfPT/q4FQeE6Aqqrs+PVz9B1HYDJaUT01/Fylo+iZF/jP40fPoKXX63n72Ud496PP2LJvO0adxHXXD6dv755HPfZ0Od7375rsCjLibaSKEoVCI2nUIHzvvfcyYcKEI+6Tnp5OfHw8JSUl9bYHg0EqKiqO635v377hQuhZWVmHDcIGg+GUTCg5WRqNhksvHMWlF446+s4ceqhOUtXwzGAliD8QQEUGWYMqa6nx+DEoDc9T5Tt4361NahLBefMhOqLePkp1MXp7LMtWraXano4xOQPZEP4QK9+3jvLPptO7TRzZ+/cD4eFzR8s2uH/6FNkcgc5gBSWEJ2sVprSeBKoK8ezfRLC2FG1UK/SOWCSNBq0EiqKiMVrQWxxogj7cOxbizdkEshY16CdyyC0ga6j89V0c/cbi2vYrQWcFwcpCkCSiOgzCtXMptl6X/PY8hWc+6xIycG35GZ0lEluvy/DsWYE3dzPBmnI09hjwe0BngFAAxecEjY6aDT9ibtcfjdFGoDiLCtXCf958H0NqV5K0dso85VR5FCJH3II24EFrMKGNT2f7+vnEtw7fAonv0Bc5rjVVAS2+or1odQffgoaQ+5gmV81ZuhFj24MJLCRJQpMxhLdnfcnTD0456vGDe3fi9VX78Pp8SC0y0Rit4WVXGjA6Ytm8Zw8FBQVHnGvxO7PZzJ0TJxx1vzPleN6/gZDChtwqJp136M8CQTgTGjUIx8bGEvvbOscj6d+/P1VVVaxbt46ePcPfsn/99VcURakLrMdi48aNACQkJJxQe5syg8FAqkPDgYAPjS78IRTdMo2i3K3oCBHyucPF7UPhWdCh2jKCgQAqKtIfSrzZ/jAK2btXD9q+9ynrXVXwWy8x5HUiV+cRZ4th/Z4ygrF9kT1eQgEfvop83MX7sbU/H2+HDnyTtZHCzZ/R9rK7CQSD6GJSULy11K77FllnwJjUCdkaRbC6GG/eVmSdGVQ1PAFHUcKzuCXCw9cBHzqjAXv30QQjWobTdylBqpZ/ir5FOorXSaCiEEIBbF1GoPjdVC6cQbC6COm3IWikcK1eLUFamQK4gvvRlG6lqLoLptRuBGtK8BXtxdp5KP6SbGpWfYUpsS2BgA9PzhbMHYZgjG8DShBj70soz17Lhord2Hu0JejzYo1JINSqB7JGTzDox+8PoNfrcbTrQ9WetVh6h79QRUdGUp1XSKgki5qY/pTnFhCoyKeDv5CtW7eSlJR02PeFqqqUO/1UFZcQCimYDHqiIiPQ6A1UVPkOecyfXXbRaJau+Rc/7d6Pts35KEE/csBNQkL4Nfab48jef4Do6Gg+eet53Ac2ogK29F5cNfHuU5I4pinYUViD2x9iRMfjnxkuCKdKs8hQ3r59e0aNGsXEiRNZvXo1y5YtY/LkyVx99dV139bz8/PJzMxk9erVAOzdu5ennnqKdevWsX//fr799ltuvPFGzjvvPLp06dKYD+e0efrvtxORPR/Xgc04S3KIUGvpygGsmhC1a77BueknPNlrCWUtJyGlDa6di/B7D35w+/at5ZrRB9cHS5LE288+QvvqVTiXfYhz3TcoO38lvUUEvdOiWLEzH5dkQrVEoeqMeHK3E93vMkwRscgaHbY2vbG16U3pr+9Rk5+NwWwj5KnG1m00tu6j0UUngUaHL38H9l5jiDr/FiSdAc++daiKQkhRCPm9eHcuQpIlvJIRV3kh7l3Lce1YjGS0YukwGENiJo7zrsd7YCPWHhfhy9tOoPQAjv5X4sndhi9vOyF3DSFXFSFXBUathFEr0dHu5vk+ZdhXvILqcxMoycaY1Ak1GEBjtBE78EpsjgiiDSo6kxVDVAL4nGjUEDqzDTmuNQVl1RRUuCjHTnFxMTXbFoafPPXg6IRZC31bSLiyN6IqCighYqp2ouRtoWL7clw7lxCoLGCTpi3j/vE61z/5Dg88/TzBYLDBa7xm/Uay9mbhwohPa6XCL7E/r5DayhLKC/P4ef7CQx73R7Is88KTD/HwNcMwlO0k1iyTnpxYF1xNrkLatW3Da4/dwWj/99zeroS/tithmPsb3nxqysn9J21CNuRUEW83khlvO/rOgnCaNIuJWRCe5Tx58mSGDh1al6zj5Zdfrvt7IBBg165duN3hknN6vZ5ffvmFF198EZfLRVJSEmPHjuWRRx5prIdwSpWWlvLSux+RW+7CpIXrLh7KuQP68dHLz7Bh4yYKi0vp32cUUVFR/Pul1/lipweDxY6s1WGJS0KjM1C18kuSi5dQE9Ji1apce+kQhg0+t9517HY738x8jbKyMr76YR5aWeLS0cOZ+NiLmKLiw2t1tQaC7lqISERRFEyacPBRVYVAVDqVe9Zjyt+JnL8JyRKHf/969MldCXmqqVn1JbqIFmhMdkKeWmx9Lqd23be4s9chy1r4LYGGKakrjk7nh4OzpwbF78Gzezn6hHYEynKRDRYMiZn4crcim22YUntQu2kulta9IeMcXNsXYus2CjXgI+irxb/xR65q7cFhkOhgKueXtV8T8tSiiYgPL0NyRKPV6VEiWmHVBtEE3fj1OiSjlaCzisp1P+Iu2E3seeORDSZ01ih0UQlUrJ+LK28H9thEJAkKC/Iw7V3JU+9MZ8++bL6dtwSdTktcr1bMTrgVc1wylVVVlLqCyDojrspC5JSerHfX8tLbM7n3r7fUez1e/egbEnsMJ3/nEswZA5E0WpwVtZQs+Q6GjeNfv+znrc9/5KVH7qJVq8PPIZAkieuuHsfSDU+yTwog/5bQxFOynwFJFsqKi+isbifuD0MjCXYdaUWbyN67l7TD3M5pTjbmVnF++zgxK1poVM0mCEdFRR0xMUdqamq9dYRJSUkNsmWdLaqrq/nLP54nkDEcTbIRVVV58vMV/LWyissuHEWP7t3q7T9pwnUsuu9ZpKTedZVo/M5K+mUk8txj9x3TNWNiYrj1xmsAyMnJoUYfTXKPPmye/yX69ueDRo/ic+OtKiWhZXh4r6ikDFdQwpTYjrT+o0nuewFrP5yGt7IA945FmFQPJqODoDUZjSUiPHM64MXa6Xw0tmicm37G3K4f7p3LMbbuhRIMIGv14fKDkozq8+Av3I0hqQuqz03IVYE7azX2PpcT8lSj+lzo4tIAUEMBnFt/RZLAtW8Fr4700DJSj+LWYoqMICrzSkKqRPWKzzEOyUCr0YTrAAd81Kz6EVmjQ/Kq+Fy1+GvKcPQfhyJp0EclEHTXEKwtQzJYcGT0xzn/dYzpGWxd40ZvdWDrdgHXP/IKd4w5l2n/CE8amvrsS5hiM8Kvp8uDrAv3xlSTgz0LvsAen8qKYle91yAUClHigZgOHdGbzBRsn4fXVYPH46VFv0uxtUgBwNsilcdffod3/j31iK+pJEm8/PRDvDVzFuv2bEMjwaDumVx/5WTmzv6UzpEhoP4s6QyHn+w925t9EC6u8VJU42Vwu6PfDhOE06nZBGHhoHc++hxv+nnof8stLEkSxvTefPLTz4y5YGSDb/YOh4Nnp9zIc+98TLFXg1YN0jsliscePL4ED6qq4vf7sVqtaAMuFL0Za8chuHK3ofg8eHO2oY9vw/78YiJrnfiDCr6s1aT1Po/inWvYMf8zLD3HYI9qhVanxZ23E9emucgVefjL8/DlbEYJ+tGYItAntEFriQhPLJMlNAYriteJqtGGAzAqIZ8TWZKQtTo09mSqV32OxhaDxmxD0uiQNL/du1RCaMwOrJ2HopVl1PJttHQEUANeArKefUo8Fp2MKyShMxhwr/oUpyUOSW/Cn78TS0J7TJmDUAMetMhoSg8QzN2KTqdBkmR0lghkXzXxUWZQzXQbcwHbS7wknD/s4JMXl8Sb3/zEsEHnYDKZ6NmlPcuW7cfUIg1UUFHx1VbhLt6PscdoavxeVm+ew9btO+nUIVxcXpZlTHKIIGBPSMOekMauhV9h7n0+Bg7eVpA1WvKcEm63+6gZ4vR6/SEnVrXt1IOtK7Uk1S8QxbYqIz3bN//bOVvzq9FIEv1an/r1zIJwPEQQboYOFFeij8lssL06oCEYDB5yjWenDpnMfOEJvF4vOp3uuNdxfvTFN3y9aC21IR02TQBNRRHFxmS09lgiOg2hcvsydPFt8GSvR2uLxVdqwLtnJW37DmfPkm+oKC7A1GkEhsRMQp4agpIOY1oPAtUleA9soXbdHBwDrkJjdhCoyKdm1ZdEDLwBNRRAY44gWFOKbAznCVdCARSfh2B1KVF9r0DxufDkbkM22jCldsOzZw3mjP6E/G6Crgqk3/JQKz43Xp8Lo7OEivJq8lwyHxSkUNVxHK1TksjPz6e8ugRDem80RjshVwUhnxND5hC0ZjN4VfRKCH1aN/xbfkRSFdRQEEmjJaRKmM0W3FmradnazgbS695cv6cCdUe2Yfmq1QwdPIgLhp/Pp98/Spk1GrNBR7nbhbc0B709Bq3Jhmq0YO0/jn+9/RH/nf4ke/bsYf2GjdQWHyA7eyYJHfsSkZSBLEkonlpiEuuvo5dQ60pQnoi2GRn8aOxGx8r1JEeGv8xkV/gpjOhPckrKCZ+3qdiSX02XJAd2kStaaGQiCDdD8ZE2dntcdVmqfmfTBo+akN9oPP5i5d//9AszVuVjbDcSHeAFvPvWwfrPcFnTQWvEnb2ZqKETkXQGQrUVaFQ/Ols0BVsWELTFo2/ZHn18WxSvE40lApBQlRD6+LZIehOE/MgaHSFnOGVlxKAJePYsx5xxDsaULlQufB979wuR4tIJVuTj3rUMS1J7qpd+hCpr8R3YhKl1L/TxbfDsXUPtpp8I1ZTg2vQz1q6jkPUmgtW11K6bQ1llkJvWtsNraYG58ygyWoczk7myVmPpMgKNLQatPRZJ1qD4nIQCPpSQESQtRq2KKkuospY2vQaxZ/m3yAnt0Wo0+N27GNM9hTbJLfluUQG1pXnkbFhCUNIiqQp6xYv+gnCVI61Wy9vPPsKLb89kR0kZBxYvRU7tja3jIEIBL7qQl8SWCeRuUbjqrw+wraCGatmGJW0kRgnyD2yndP3PpCfEUF6dhSHt4FrYkN9LWoT2hF7rP7r9sRf56oM3+G7XKpAgNvMcJt046aTO2RSoqsrOolqu7ydyRQuNTwThZujW669g6cP/Qe04qq7knjdvG+MGdj8tk0y+mr8SY/LgettMaT3opJRS4FSpVI1449uGU0eqoLU4MOj16IJ+SleXo7UnoItqRbCqCF1kAvxhSVSwuhhdZCK+gp2ooQAoofBjCnoJVBQQLM/Dm70ejd5MYM8yatd/j6Io6OyRSAYrhrhUPDlbsPUag+KqQJI1mFK6EnTX4C/YjaXT+Xj3b0QNeJEtDux9xlLx8xtUYyE+IQ3n3lXUmBRqCvZSkrUVx/DbCdSWUrt1Aagh1IA/nLFMsaFTg7SIjSanqAyNEsQUEUvnUddTsu4Hzmtp5qEpdxAdHY3f7+fFWfezvcSPpcdFGH4bPg8W7eHXles4d+AAiouLeendWeRXunGYtFx8bi92RfXDG/BjNBuw26KRJIkDu7ejv+AWagt+wdZpaPg589bSts/5BPfbee2eK5m3ZAXfrJ6Py5aC1l9DS6WEZ6bee9Kvu06n46pb7jrp86i/LTs7mZ75qVRY7aXaE6BPmhiKFhqfCMLNUExMDK89fBvT351FUW0Qk0blksG9GHvxBafleu5Qw22SJKFojdx1RR/+8/7nBJ0eUBQkVHRaLQGvC19VCWY5hKT40CekU778CzTWoWikCFRVJeSqIlhRgLllOxTCF9E6WgAqSiiI6vcQKM6iRZ+LiI+LwWoxcyC/gNxf/kvMeTeg0WjxOSsxZQ6kevln6CISCJTnoYtJQqOEkA3mcLUlJYjicyGZHWjMDmSDEZQg6QMupGrnSq5ND/BxsZ/alAycu5YRqCzE3P5cZIMV3/6N1Kz4FP2gG7A5LOh1WmIrNhMTA/Ke+Vh0cMtVg7nsD0lV9Ho9nZNjyba2QPF7w49L9ZPargNrspdSUFDApMdfIvTbxLpyRaFyww/4S5cR3/eiuvO4yovQRyXiKStAE3twIpRksFBRVU10q078vHg5t024jmsuq2HDxs3ExcaQmZlxTF/GgsEg7836nNXbspFllaF9unDlmItO2Rc5v9/PtJffZv2+EvyqREubzMO3jyc9LfWUnP9E7SiqQZagZ8rh87ALwpkignAzlZaawstPPXRGrpVg07ErGEDWHrx/Fgr4aRlhRKfVkhTfgq3bFuAv3I0lKROfsxJFlajZOJe0AWPJ37gE/9ZF2LtfQPXKL5AtkUi/5Zm2dhlKKG8TqqRFa4kAWQIk/Ps2Yu80CN+Wn0iwDsJqtYTX2O5eiKV1T7Q6XXg2NTKyomJO70nIW4vqqsBduItAeS7+qlKqFn2APi4VbVRLgpUFlP/yFkowiLFNf8qyNhIruZAN8RjbDYSl3+KvKiBi0AQkQAkGMCR3IlBZgHfhW1TFtgQDvPToFAb073fE50zWG2mXkYHX40WSwGA0IiHh1Vh49d0PCbQZgu73iXWyTFTPi6hZ+A6anT9RbUxA56+llVoOrVqCxYFSuOcPZ5dQVJWAq4rEFuHZvXa7nUHnHV+Zv7unPssOXVtMrcJrw/9v7V52Z7/Oo/fccVznOZxHnn2JjZp2GNp3QwsUKSH+Nu0NPn1xaqOWFN1dVEv7BDtWg/j4Exqf+F8oHNU9f7me2558BX/rQejNNvyuGvT7FtFlWG+m/7AZTctziGlbQ/Hmn6ha9RXoDOisUdgz+lNcXErIYMOzfREBTy26uHT8BTvRWiPRtWiNa9NPXNA+knmr9+DcNBfZaEdxV2KMScKa1o1g9X6uaa2yKWsZRp3MyBHdmbVXQ7W7EpcviKKqSAYLksGKUluORqtDa7Ki0Uh4A15sPS9Ga4sO1yZO6YInewPOzb9gSe9O8drPmXD9BcRFOQjtq8Tn9WFM6RouBIGEJIfzRkd0H4mlfCfp/S8gFPDxn5mz6d2r5xGLHPTrksna1QewtEitt92h1FDpM6OLsDY4xhKXwmfT/8G+ffuIiIggPj6e6/72KNXRCcjrFqAEOiHrjCh+NxFRFmz7VjNq6FMn9Jpu2rKVHV47pvhwshtPVSk5OzfxblUJe3OLuGXchZw74MhfNI6kqqqKzUU+DJkHh3wlWYM3qS+ffDWHm6+/6oTPfbL2lroY2v7kyywKwqkggrBwVK1ateSDf93PO7O+IK+0mpQWkdzy74e447HnKK7SkrfoJYyp3YkfPZnavJ34Sg4Q1XUYaHQEVdD7PAQq8jHFpaCLTUdO7YTWYAZvDbZAPu++8h+GjPsLhQmd0dmikY0WJElGUYJESG4mjr+2boi0traWH+57nmpbBww2K57qCgA82WtRvC40KV2QLFEQ8qN1ucLLlXQGJFmDGgxgSMzAu3cNJtVH65RobptwLV6vl9c/vRfJkQBBP7Iso6oKkqqA3kSwsgKq8rH88jjRGicFbg0vvfA8f3/g8CMRF48ewTe/Pk6+3oQpsgWqEsKbtYqbR5/Dxm27OeD3otHXnzhl14eHsjMzD858f+SvN/LAC+/SKrMHeZt+IKBChNVEUjCCxx68rUEKycLCQmpra2nduvURZ8Cv3rAFOToVAL+zil3L52LpfhF6JcR+u4EnP1vGlFoXF44c2uDYiooKvnj736jl+wjIRtqfO4ahF13eYJ+Awc6fv6YY7DHsz19/2Hadbk5vkPwqD92TIxqtDYLwRyIIC8ckKiqK+yeHq1LN+XEet/1jGj8v34Sh0zDsw24nWFtG+crZqJKEtcfFBHweZKMGVZLravv6ivchWSKxRsSQHB+Fb18WyQk2pj73KgO7ZfDJovlIHUdiMNkI+d14Nsxh+t9vrHeP0mazMaJzS57/YTG61F6/1RSeg69wN45zrq0L4JjtaEpy0BqtaGSQCKJoZCSTDVVViJNq+ctVFwPhGeNP3nkj1059E68fFF8XJK0eVZIJBQO4N/7AXW33M6b97wHPzw8bZ7B53fl06Xno3OU6nY63n32MDz77ig27lmLWa7hh4gV07dKJvt27MH/Kk1RqIjFY7MS3702weA/XD+rV4DztM9ryxStPMnfeAoq72TivTw8SEhIaFHqorKzk78+8SI7fQlBjItJfzO3jRjL8TxnQfpfZJpXQ1q1giyR301JMnUeE11YHfBgMdvSt+/LRj/MaBGG32807/xjP5A6VmCPDQX75iueZXVHCZTfeVrdfq1atsPrK+HONEE/Bbs6/sOHjPFP2lTkB6NoqotHaIAh/JIJwM+R0OnnqxTfZWVgDKmQk2nn0b5Ow2U5/DtxPvprDuytyOVAUwD7kFkLBAKoKOkcLNN0voHLRDJAk1N9nQKugKkGQdZgz++MvyaZ07dfEpyWQXVhGSXInilu1IRSooHPLHDzFSynZ4yHKIDH96Xvo06dPgzZcM/YSZq/LIWvjd4QcLYnseB5lrio0pt8evxTuyeKqRCeFwukvkdAAirsa1V3FwBg3Fww/GGAG9OvLtYOW8+XeEGWb5obLGuqMePauoV1wDxe3OdinU/w+JvSw8uHs9w4bhCFcVGPiDdfU26aqKm/+93PUqFQkc0tqXTVUffd//O2qYVx1+cWHPI9er+eSC0ce8XV5YNorFCaci/G33nUAeP7jn+naIaNBLW6Ac/r1Jf6TOVR4Uwj4/WgNFhQliFGj1vWuq/wH1zj/bu6XH3JtahnmP/TAByTreH3tHILX/qVuiZxer+fKIT15f8kqjOm9kGQN7tJc2pHPeQNvPuJjOZ32lbmwGrSkRovShULT0DTWDAjHTFVV7nzsWTbpO6NkjkBpP4Ithi5MfvTZemk7T5fZi9ZiTO5CIBjCYLKAGq5OpCoKst6MrDWgFO9BCvlRvLWE3NWEvE4kWUIbmYg+IRO/z0NedA8sI6egpJ/DzlXzCaoy3rRzuGBwH7p0yMCa2oUnZ3zPP6ZNx+/312tDfHw87aK1ZA67EoPBgNbiQAn4kHRGNCY7SBKyOQK7LoR73dcEnZWgqvjL8wlunYsDF4///c4Gs4Cn3vtXNNkrsVjMaNxl6Cv2ktLvAtokRhLwesLPfyiAAT92uxVtoOa4n7/lq1aztFRHVMeBpKWlkdmpKx3G3MHqHTl8/NW3XDNlKpfc8Tg33/ckazdsOqZzlpWVccCjbzC8LbUewH+/+PaQx8iyzBtPP0i3wFYMNXmoNSXYJD9JiQcrCjl0aoPnqCxnF60iGlZRitfWUllZWW/bdVdcynM3DSezejWppcu4pYuJV575R6MuVcouc9Ex0Y4si3zRQtMgesLNhKqq5OTksGXrNg4Qg+UPiTq0RjO5mkQ2bNpMj25dT1sbFEWhxh/+TyP9tu7TaLHic9cgGSzISNgiotDkrMWRnEkoKo2yyhI8e9dibtMHb85Wajf9hK3PFUj2BCQkNAYzlq6jyd30He2GjOXNL14lc+zd6H/78F9TW87jz7/GPx++u15bnv/HFB7458tUqtUUr/yMkKsCJeBF0urDa401OuLUcvSp51Gduwq/z4vVZscca8d1oBxFUdi8eQuhUIiuXbug1WrRaDQkZ3RC235ouIzib8Gicn8kUigPXcCJ2agjJiqBQFBBtR293u6ffTd/Geak+sOxkiyzNbuQAl0e1tbDAShRVR5+ezZv3GendXraEc/pdrsJaRvW0NXojdQ43Yc9zm63M+3he/jbzUXc9OhLaNJHhYfyAe+BjYwf2nBiVnRSO/ILl9PyT4G4OGgjMrLhkp/u3brQvVvTSXOZU+7mwi5nXylTofkSPeFmIDc3j+v/9ii3TP+SqV+tZ/fmDVTn7623j2SLJTsn77jP/cuCxfz1H9OY+NA/efWdmfh8h69JK8syEfpwbzuiRfger1ZnwGA0o3FXULVoBkowQERKe2KCpVh3fAOVeUR2GgQ1xfj2b0Bji0EXk4Q/4CfgDRcokCSJkMZISWEBmuiUer0vgy2aTfk1eDyeem2JiIjgrX8/xsv3TaBPshWNzoBr63zce1YQqCykdsP3qFodnQu+ITZYTIsIMzFV2+hb9RO1mBn714eZ8uEK7vl4DWPveJQVa9ai1WpJtEj1AjCAK2UwX+VGEx8XR1x0NB6/wutbjFwyof4Xg2NhNOhRgoEG2ytrnJiSOtb9LkkSunaDePvj2Uc9Z1JSEpGB8gYjId4Dm7hs1JCjHh8fH8+rD91KetlyLPsWEJuzgCkj2nPFJQ3XnY8aez0f7Y/G4z+4eHx1fogWPS86ara2xuYNhCiq8dI+wX70nQXhDGna7xoBVVX5+79ew9l2JCaNFm3AT21kBtmbf6VzbMu6IUhNRTZ9ul9zlLPV99bMWcxaW0hQH40pIpYDxRJrH3iK91548rBDhm3i7Mxa+DXa1F749qzEl78drVaHsfoAqQMvJTH5YFIJ38Z5xNRUE3LEULt3PbZ+43BtW4Asa9DYogh4XGh0emSNDkJ+XDsW06rXiAbXDGhMuFwuTCZTve25uXk8+f537C4OoY2Ix9zuHJSgD8/edfiLssjveCmxxd8xqe1WLNJa8v0+ZhSmU2ExEehwIbbfgn1I7cAz73zFF5078cCk67j3uXfwJvfDYIvCk7+LLnYf4+//mg9mvQHucjQRiVz7xGTiWhx/MfgbLr+QJf+ZhSlzUN22oM+D0WhAI9efzSxrdWTlFjHh709Q6lYwa1Qu6N+ZCddcUe+LiiRJ3H3jpTz17teEUvqhM1nxHtjI4CQd3bp0PqZ2tU5PO6Z15xaLhZuffJ///t9zqBXZBDVG2g64mMsvvfIYn4HGk1MRHhUQ9YOFpkQE4SZux44dlBgSsWrCL5VOp8dmkAkkdaFk9wYSOvXHXbSX/ok6kpKSjnK2gzweD69+9C3VllZoog2E8taj91bha9eZn39dyKhh5zc45tsf57GyXE98agZFe5djkDVIVfn8a8oNzPjZgpxcv7ydo9NgAvPexEANtRGxGI0m5NQueHYvJaLbCFTVjL+2AsnrJMpbxBUjB/JrubPBdSNxEh0dXm+6fdMGFnzxNjp/FUt3FFBq7Y8mpQfR5kjK1v6AGvRizjwXW9cROLcvYGmphVXFWrSqn6DOitSqG7Jawrb5nwMSBr2O1N7D8ce055eFi7lo1Ag+eeERPpk9h5yC9Qy9pA/nDrgFWZa59eF/H8crF7Z+wyY+/u4X9ufmU1VdhSM+GaksF+eaMtTYtmgDTlL1LqLaJfHnO8zOqnIK9uyn7aV3IksSXmDW1j3w8RfcdO24evsO6NObTzLa8fFXcyirzOHySaPp0L5hkY8j+XLOD3y9YDWuoEyMSeLOG8fSuWOHBvvFxMae0HPR2PIrPUhAm7iGa7QFobGIINzEuVxuQpr6E24S4+PQBD1YslbQqijAsL5dufziG4/5nDt37ebBJ6ZRHpGJrW2fcK83oQ1BdzXF+9eyYp3nkEH483nLMKYNwwiY49MoKa/E5+nK3U+9hGSKINpnJLFTv7reuazV0a9XD5JjAryRHcAQchGTmIhiClG44XsUgwWrp5gx53TiiddnodFoyH/oKXYXazC3SCPk9xLMWsbd14TLM25au5Kt/32A2zNVZFliqL6QZ5Z8ypJOj6K1OjCndCbgqkRjtKIqARRnJY7+V4Z/lzV492/AuWkekYNuwJgevnce8rnZ8evnpPU6H78/PExstVr5yw3HN6pwKO/N+pxZq3MJxGZSaE8mSAmanN1kDJmAunUekwcl0btnD1q2bMnyVWuYOmMu+oxzkTVaAh4XRYs/JnnIdfV6vcaEtvy4cl6DIAzhkpW33XT9CbX1s9nf8X8r8jCmhcsvFqgq9738MW89PJGUlLOj0EF+lYekKDNG3fFVEBOE00kE4Saua9cuRLz/DSrt/7BVwuHcz4evP0eL4xwSfWvmx3y+Lo+9NUa06e3wB0NoZAWdVovW7MBZW01G63MOeawzEA4Gfr+f3OJyQkhUbFmMqcc4ZJOdKkJUzPuM9oMvRW9x4C7OZnDfzoy5aDSrdz+CKzE+HFAiI4hO60TNjqW8MPFqevXoXneNV//5CN/NncfitSuwW0zc/PDNdT38xV+8xeT2B2fsmvVa7uoL21Z9RM2596HUFGJuNxAl4MObvwNDq/boIhKQdHpQwdrpfIIV+Sg+F4qqIEsyGoMZTWpvajf9TM+JT3DfE8+RVepEI0O3tDjuv2Nig4QYx8Lj8TB72TZMmcMozitANtkwmGx43DXUFu3H1nEoC9auYMwl4WVJA/r25iWHnXc//YZan0JStJXELhmUOhoWGXAFj7s5RzV74RqMbYbX/S5JEnLGYN766MsGk+Kaq4Iqj+gFC02OCMJNnF6vZ9Klg3n5618gpTeyVkdg/zrG9Wl93AG4oqKCr1btwdT+fDS5+SCHywmGkNH+NqlH46/l8otGHfL4SKNEiapSWl4JRhs16+di7X4BciiAzmjG76zC0HkE+9fMp2XrTDKkQi65IJzt6sGJV/Poa7Nwxnel0hOkdu96EoLF/LrEwSsfzcEdhES7nrv/ci2XXjiKSy9s2AaDr6JerzA2Ogqnp5AYbw6VXidacwSh6hKMkXH4qgrQZZyLpDeCEgJJAkXBkNQZz771WBPbhIs5yDJai522CQ4e+Pcb1KQPQxNlJAgsri2n7OkXePHJB4/reQbYs2cP1aZ4HEBIBem3ddOGlu0pP7AGe0IaVd76qSw6ZGbwn6n31/3+3Ktvk++sQW85OJFIVVVizad+PmVt4I+1rcI0OgMVFf5D7t8cFdV46ZUqijYITYuYHd0MXDhyKB89NZmLo8s437ifd++7lknjj3+4dPGyVQRiMgCwR7dA9juRQz4UTw0hVyU6bwUje7Y7bB3a266+GP+OBQSCgbq0kgR86M3h2clGo4EosxZ30V58WavYV61wy/1PsXX7Trp37czbj99J7erZBPK2ktK5L664Try2qoz90b3xtjmfrOh+3PH061RUVNS7rsfjYffu3dRSP+m/VqMhKSGe6Nh47Nu+xF6xA3n7j8QaZRJTWxOqKQN+mzEsySBrCDnLQQ0iafSEPE5CzkqilGo6tUmlxJ5Rb62twRbNtkqJwsLC436uY2JiMPjDd3k1Eqi/tSNYW4bJFoUSDBBjOXJB+Uk3Xo1l/yL8rvB5lGAA/44FTLrqwuNuz9FEGhuumw14XLSMOjt6jkFVprjGS4pI0iE0Mc0mCD/zzDMMGDAAs9lMRETEMR2jqiqPPfYYCQkJmEwmhg0bxp49e45+YBMUExPD5InjuW/yraSkpJzQOaKjI1B9tQAkdh6AnL8ZpWQfWkklSqmkg3sL0x7622GP79OzOy/ceSW2HXPwbf4RqgoxWu3h2c2AVpYJBEPIjniihtyEvuNwypLP577pM6msrOTDL+cQPXg86QMuwhydSEVRPubWfSivCrdJ1mgJthnE2x9+XnfN1977kCv//iyT3vqZ7/JNvLSggEAwiAooispHO3VM/c//sfaHj9n+88cs++Q1uvi20ELjpHbdHNSAD36bdRysLUPxuQnWlKGzOjDYo5H0RopXfYfVZkcfEY+3phxnSS6qEl6C4zXGkJd3/Eu/EhMTaWvx43fXEhsVgeqpRVGCBPatIqZ1Z0I7f2Hy+CPPKLbb7cz49z8YZs2jZdFSOrs38Prfr6d/71Of9vHmy0bg3bU4XKkKCPm96LJ+5Y4JJ39vvCkow4GiQlqMCMJC0yKpZyLN0ikwdepUIiIiyMvL491336Wqquqoxzz77LNMmzaNmTNnkpaWxqOPPsqWLVvYvn37YXt7f1ZTU4PD4aC6urpBvt7mRlEUxv31IbyZo5F/m21dlbcH18bv+ed9f2X4kEFHTPr/u6KiIm5+7CVKpEjKg3oMiRmoXhdxDjN5O9YTYzMR3/FgOke/q5rRkSXsySslJ24AAKGAj61L5mLpNBTVU0PblAR+HxBtXb6CFx+/j7m/LOC5n3ZhTu4EQGVVNaUbfiIp5wdSowxobbH87fEXad+52yEfq6X9QLTmCHQxKeFTSxpC3hr8BbtI6NAPJAmjwUB0YhJXttXy/RczOTfeQ4whxNIyB4WtL0MX9PDx05MxGo18NWcuS1evw+ly0rZ1a2684uIjfiFyu908/sLrbM+vocbtobpgP23apJMaH8Pk8VeSlnpiX6b+yOl0UlNTQ3x8/Elnotq4eQvvffE9Tr9Kq0gzk2+65pApL5uT39+/0++9ghe1E1hy/xCSohqvjKIg/FmzuSf8xBNPADBjxoxj2l9VVV588UUeeeQRLr30UgA++OADWrRowddff83VV199upraZMmyzPSHJ/PI9P+jKGhGAtK1bp5+50WSklod83ni4+N569E7ePm9j1m6fj3luWuJSWqDpcqDqaqU+H4HcwOrqoqrvIgvl/2CyWQgpE3HHBWPrNUjB8IJOGRJ5fcA7KutJDU+PBnpmwUrMCWFCxA4XS5Kaz3IHS8gKwim4VfiLd7Hsk27DhmEZVlGAqzdL8SXty18L1mjwZTcBX/eDlr3OR+jPXyd2qL9HFj5MS/2LUUymJE1es5P9/D6qnexDrgZl8vNhAf+SbY+HY+xCwFfAYt/2cjCPeXcOrInV1120SGfJ7PZzL8f+TuKohAKhY5Y+vB4+Xw+3nvuYUwlG4nS+dkfiKLHJZMYOKxhgo1j1a1LZ17+07riiooK5i9eRkxkBOee07/JJ+Q4nFLVgUaSSHAc25dvQThTmuc76hhkZ2dTVFTEsGHD6rY5HA769u3LihUrDhuEfT5fvaxRNTXHnx+4KUtOTuKD6U9SVlaGJEl162+PV1JSK56beh8AgUCAyspKHA4H1937NL8/e6qqkrV4Nm5dBCl9riMoK+z+9UuSuwwgOr0jsUnpFO9cQstOfQkEApSVlSJt+Z6xrz8dPm+IuolYFVU1SIbw/cnfi0MYW6Qzf90v/OUwq3JUvwf3rqWY0nuidcTjL8rCs2cVpnb92bVmCfEtW9Eisxfagk10c9SQkZpIWUUlLo8TCfhbbz1vFGznujvux53Ul+J9O1AVBUNcCro2AymrzeG/89ZwyaihDRKJ/JEsy6c8X/LM6VMZa1xBXEcd4btKVfz3m3+R1Lo9KWlHTnN5rN7+4BO+WrWHQGwGiq8Mx6w5PH//bbRpnX5Kzn86HO79W46DFg4DWk2zuQMn/I84a/9HFhUVATSYQdyiRYu6vx3KtGnTcDgcdT/HkwCjOYmJiTnhAPxnOp2OuLg4DAYD4y8ahGfnEpRggOq8Pbj1UTiSM3A4HFjsUWSOuoHyzfPR7v6FdsYabuoRhXn7d+z8/l2qty3B1HEoE595m59/XUzX1on4asoAUAjPMFaCfvR/GDH3BCEnJ4fFS5ZRXl5er11mexRBZwW+gl24di0lUFOCpDNiTuuOqeMQCrN349nyM2MHdMShV5GQiI2KIrVlPPGxUXg9blZmV7DP1JY9G1ehadkJU5eRhCQNNTuXU1tVTq0tmY2bNp+S5/FY+f1+yF9PnK1+z3pchsovX753Sq6RlbWXT1cfQJc5BHN0ItbEtgQ7XMTUl07N+U+Xw71/K1UriY7Df1EShMbSqEH4wQcfRJKkI/7s3LnzjLbpoYceorq6uu4nNzf3jF6/sZWXl3Pv4//m8junctWUJ3jhjfcIhUJHP/A3F48axqt3jaWLewOBbT/Tql0nWsREUVFZhcvtxmQ0kNS5Hy/ddzMfTX+cyX+5EW10Ep3H3EbmsKtwtExH13Ekr37+ExOuHkvLsrW4C3aj18r4ynJwrvocR1xLXKX5BP1esnds5ubnP+PR7/dw3dQ3eeqF1+raO6pPe+xte6G6KpBlGVNiO6xdhtMqNhKHJoAjMZUHxp3LbX8ZT1Ygtl7u5YKSMhYUmZE6XoCneD+OAVejsUaiBn3oE9qhT+qMt6II2e8iwnFm5wr4/X7McsOlQwatRNBTe0qu8fG3P2JI711vmyTLFOM4odniZ8rh3r+VWEmIEEFYaHoadTj63nvvZcKECUfcJz39xIa+4uPjASguLiYh4WDVlOLiYrp163bY4wwGAwZDw4o0/wv8fj+THvk37rYj0EQbCAA/lhVT/u+XeeahY0/YkJnRjmn/uIf/vP4O7++ppNwdAq0e3E505ZXE+1xYreGh5e9+XoCS2DC/cZU1lV27dvPuf57kl4WL+XXZaj5dOxcpoQsV2CnZvQPPtgW0v2QSpvhkjEqI7FW7eWv3Pr5dOYXOyTEky2XcLi/mPbeBQNu+mCxWYoweNKqF2NgWuGoPkJISLhhx/o0P8Pp7jzAuzYXVIPHIIoXFwTSU4g0oyKgBL7LOQMhTi6w3onW0QNEZSAgWkZl5fOkhT5bVaqVME4+qFtRbN72lyE+bPoNPyTVkSQal4ZxNCbVRSxEezeHev5WqjXj7/+b7WmjaGjUIx8bGEhsbe1rOnZaWRnx8PPPnz68LujU1NaxatYrbb7/9tFyzuZszdx4VMV2x6A5+WBkjWrBu5w4qKysPWarucNxuNxs3biJ/bRbWzIFYUrsi6c34PbVU799GVFQUAGaTESXobXC8JhTAaDQgyzIjzh+MoiisqrbhtbbE4/eji2tBdUwyJbvWoZoi2LvsOzQpPTAk98ejuClpmcD6b9ZwbaJMokVm19Z5WAaMQ6+R8fs9KMEA8cFi2rZtC0DXXv1IbfslP8+exQ8LlrMkcTjWtv1Rgn78m+ahhn6rfBTyozgrkII+Wmg9TH/kbw1q7gJ8/9N8vl24En8IMlpFc+ctN2CxnLrlMcNvvI/X37qfa9p6iDRrWZfvZ3GwK38befEpOf+1Yy5gwX8+xpRxbt02JRQkQXYed5KYpqAGC7E2EYSFpqfZTMzKycmhoqKCnJwcQqEQGzduBKBNmzZ1varMzEymTZvGZZddhiRJTJkyhaeffpq2bdvWLVFKTExkzJgxjfdAmrAdWfsxRXdssN1njKK4uPiYg3BBQSG3Pz6dXdoOxAw7H1fBbornvYMlsTVG/MQnp9bte/GoYXww92mIPlibV1UUYrw5dOhwsHjAdwtXYUkeiPUPAc/p9VPldBOqrCUgaTFEJqCo4HR7CakKnjbDeXb5F9h7XYJFCVG27ieq7LFEGRQyffFMe/iuegHU4XAwbsLtfLWhiEhTJ3yqEp7FrQJKCDXoo0WElajISAK7FjHz//5zyID01sxZfL6tFlNSuFJSgauaLQ88zYzpT56yGdIdu/Uk4ZnPmfv5DGrLi+l0/jCmDBp6ynqpaWmp3DCwHZ8u/gV3ZBskv4to5z6efmjyKTn/mebBSLRFBGGh6Wk2Qfixxx5j5syZdb937x7ON7xgwQIGDx4MwK5du6iurq7b5/7778flcnHrrbdSVVXFwIEDmTt37jGvEf5fM6BnZxbM3YM5MaPedrO3hOTkY0/i/+ybMwm2H42+uIyAzoQ9rQummJbo8zfS5ryr0O+ed/DcZjP/uOUynpsxmwpTK2Q1SKy/kH/ee2u9gBJSVZCg1unE7fFiMRkxajUEgkFQVWRjuDydGgog642UlVfi1dqQEjqgi0tFE/ATfV5r3Lk7sBSuYMb0tw/bfndIomV8HLkFxfjRYGo3gJrN81ADXtQWyZSXZfH0Hdce8jnx+Xz8sHo3psyDs/L1FgfFUZ2Y8+PPXH7Jqct2FRUVxbWT7jll5/uz8VeP5bILhrNi9Voi7HZ695rYpIeijybKevw5wAXhdGs2QXjGjBlHXSP857wjkiTx5JNP8uSTT5709SsqKpp9so6jGXzuQD78Zh55NdEY7DGoqoo3fweXdEvHbD5ygoOKigp+/PQ9XBUFrNvhJOLcAdjMJsrcPmSdAb0tBn8whN9VTc+UmHrHDujbmy969WDHjh3odDratWvXYIh3YNcMnvhxOVJcOyStnuoqD7LXSahwJ4HkDgSrilB9bqRQAL09kkDQha+ykICrkvKN85GNVhRXNdqYZGo48gSdOLNMoSyTmpRIZVUlRcEA0T1Ho8leQVL3fujMI/h1zRKuu/LyBscWFRXh0kc2uIIpNoV129ac0iB8JtjtdkYeoqJWcxRpFkFYaHqa79faM+y/n3/T2E047WRZ5o1pj3BxXBUt8hfTqmgJk89NIjbKwf1PvcD0N99rkNcZYO+uHXz4j6sY7fmKW2PWEenMojhvPxEOO1ZNkKCrEndVGdUHthGV/QsPTp6Ioij1vjRpNBo6depERkbGIe+x7s0tQCk7gDdnCyF3Df6yHJzbF5IQG0XLCDMOo0xw7yoMFns45aSrgtq132LOOBdbj4uxdBiMrfcY1ICX2oqSIz4Pk28YS3D7z4T8XlweH5Ik4dv6M6l9hmN0xKDR6cl3y7hcrgbHxsbGYvBXNtjuKS8gI/3sXO7WXESYTl2yFEE4VZpNT7ixFVWcmqUfTZ3BYODOiROAcOGEv9z/JEVRXTHH9GFTVQ3zHnyO6ffdQkbbNnXHfPfev7mziw9ZDn/IXZBYw6c12VSZrGi1WiRZQanIJrn3CPJVNxfdcBv6mGQ0qHROiuKRKZOO2tPelV9J+xHX4izNoyp/L2ZHDJEX3Uztio/RSX46jLoRZ3EO+dvnQUUuE6+/hMcWO9BHtwJVDVdRUlUMSZ3R5K854rW6du7IO49M4u1ZX/HTljUYbEm0Pv8KdKaDE6sk1EN+WTCbzQxsl8CvZbkYY8JBNxTwYy9ax5UPPnFMr4FwejhEEBaaINETPkadWh97WsezxXsffU5Ji76YY8KPXW+xI3cczfPvfFxvP6M7H1k+GJAm9TIzwvk9tSs/o3DLMry7FhNjlEjs2IdSezt2+yJQWw8kkHYOK72J3P/09KO2RfPb6a2xrWjVbRBRaR2RZJnUVoncd2EX4vMX0cqXzeU9k1j62RvcMXECUXEtkPwuFE8Nit+N4q5Gi0JiYsujXq9Vq1Y8ef9d3DxmKF6/nwPF5eTmFxAKhQj5faTa5cN+cXjgzomMSwf7vvkY9synfc1a3nzyXjEXoZFZjaLPITQ94n/lMRp7yYnn5G2utmTnY4yvv05bkmUKa+tXlQ/KJuBgqkBZlnjgHCM7FrjJTmqLo1UbZK2OqupqQjoTakQim7+bgSY6GUmSySrdw/WrVtOvb5/DtqV/p3S+OpCPMfpgAPWW59E7I4m8/AKirGZSW8Zyw7gx2GzhSVq92iSwXiej6iyoioKk1yHVlnDRecdWhejtDz7h/WX7qDqwC6pq0LdsT+H21XSx1PDMa/867HGyLHPr+Gu4dfwxXUY4Awz40ImUlUITJP5XHqP/xV6MSaepK233R8Y/FVqK6jCIPWWBetu+2a1y7vBL0Bv1yNrwMKDPH0CStDh3r8Lc+zIsHQZjbn8ehj5X8chL7xMM1g/ufzRp/LX0MRTg37WY6tydBHYvpivZLFi3g0/269kR0YfZBTauv/fpurSkj999K8kV65Fy1qDb8T2aoi10Du3hrolHj44+n485K3dQUFhMzMi/EtV9JFpCGONSqAlq0evFJJ/mxEzDteiC0BSIICwc1g1jRuLNWllvm7c8j4GdUuttu2riFFbYLuKtbSY+3wmvbI8kcvg93DRhPPay7XWB3Ga14Mnbjj6hHRrjwWLxGhRCyb1ZtHTZYdsiyzLPPHQ3Hz1+K9Ov6s6HU2/FbLbgbj0UY0R4ra7REUOw/Sief+u/AEQ67PjWfMRd3rd5MeFHri56mfJ13x31/jNAXl4ehdUe5PjwRDGN0YIluROmhDa4Yjvx/c+/HtNzKDQNJhqm+RSEpkAMRwuH1aNbV+4YVchHP/5EjWzFEPIwNCOBuyZOrLefLMvceNfD+P1/x+l0EhERUbee9Pn7J/H4K+9THLKiQUG7Yx50vBgJCRUV1ecm0mJEI2spKmk48/rPYmJiiIkJL3HaX1qLNrl+QJW1OnIqw72eMcMH8PxwK1arGSSJy+KhfU4F1155GZ98ceTZ7rGxsej8tWCof/9YDQYwmIz4g4HDHCk0RSbJd/SdBKERiCAsHNFlF47i0tEjqKysxGazHXEYVq/X16Wj/F2b1ul8+OJTlJSUoNFo0GhuZ8SkqfiCSUhAZJQNq8WCb/cShk26ud6xVVVVFBUVkZycfMjeq15umNsYwKRV+f6n+cTrXVitseHZ0aoCsobM5CgKZ6876uO22+0M6d6WmQs3Y2oZTl6iqipywE20M5uLhp++JBnCqRfOhC4ITY8IwsJRybJ80mUP4+Li6v496ZKBfLxyX7hKjyTh2ruGizu2qEsBGQqFmPrcK6zNrcVnjMbqK2VEtzTu/MuN9c55+dABTJ+3BWPywQIQ3qIs+mYm89LXS7HqjCDJwG/BOhQEjRZF+tNN7cN46oG/UVP1OHOWzkTbui96vZ4EXy4TLz33uPJoH4tQKMSin78na/MqEtIyGX7JuP/JeQini1EEYaGJEkFYOONuuW4c5/Tazaxv5hIKhRh38zC6dTkYSF96eyarAkkYM1vw+8rOb/dsJ/2n+Vw4cmjdfl06tMP28RdsXzcfoz2KpMQWjOmVQa3TiSa9PzuXf0mV00uEWRdeJyxJbMp1UaON4VhoNBpe/fdT/NvtZu4vC/AFglww7DocDsepfDpwu928+vBfuCAymyEtdBzIms/Ld3/GhMffIa4ZFktoigySCMJC0ySCsNAoMjPa8eT97eptq6io4LX3Z/HRzysx9RxDjMmL0RDuDRpatmfOoiV1QXjRspU88+FctJ0up013A7WF+4jzZTHpxqt56oXXkPV6KiM7c/cva7kiM0CHGFiaL/Htbpnb7rjluNpqNptPa7rJ2TNfZ0LLbOLs4aH+1GgDUxxVvPPmM/x16sun7br/S0QQFpoqMTtaaBIqKiqY8OCzLAu1xWOIxiNbyCmqwOV2A+E84IFQeFhZVVXe+PR7DB2GodEbkSQJe2Jr9pvbMefHn7ls1Pk4d6/CVVVGdvxQ/rkrmQnzbbxV1IHQhc/wyU/LG/OhNlCbs7kuAP9Or5WRK7MbqUVnHz2hxm6CIByS6AkLTcJr788i0HYoOqMZvUZCDQWQTDZKK6qwmM34asro1iY8U7m6upoK1cyfC9OZW6SxbMNKLrv4AgK507D1vhxdVPgYJRTEvelHZAnc/qb1gRyS9ahqwzSYIVmU3jtVtCIIC02U6AkLjSYnJ4ely5ZTUVFBbrkTrTE8Azq9zzBca7/GU3wAjy+AO38XLcvWcuuN1wDh4WF9qGHyhaDPTYTNTGlpKdbULugNelBCoCpoNBrMmedRtflXkiKPvk74TOoyZCxLcuonKskqDxDT4bxGatHZRycdPhGMIDQm0RMWzjiv18vfn/oPu5wG/KYYTLN+xVuwC3NsX2StlpJaL+YuI3Dl76Zm5edozBKtB53Lv175PyZeezmJiYn0TI1mZU0Zent4kpWqqih7lnLz1Nuora0lpDMT74gmr6gMyWhD0upQAe++NUz/flbjPgF/cu6w0XyVv583135DurGGPJ8ZUgcz4ebJjdqugoIC9mXvJ6NdW2JjYxu1LSdLJ3rCQhMlgrBwxv3rlf9jj7UrxvgIwtOu2uDURVG04EOMvcbgVnRozFZ0BhNak4VQ/6tZLetIIIIVj7/G81Ou55G7b+fp6W+wfudGfJKeGI2XO266iMTERBRFweErpSaYhN7qILR/HUZnHpVBPSndzyU3v5CMdm0b+Vmo7/Lxt+O7+mYKCgoYEBuL1Wo9+kGnSSAQ4MFnXmBzhYTfHIfJtYi+yVam3ntHXRKW5kYviSAsNE0iCAtn3OYDZegzutfbFpHemXjPXnYu+S9ecyKyGiLkrCDyvBvRGK34PNVoDSbUTqN4acbn/N+/H+OJ++/C7/fj9Xqx2Wx191RlWebWy4cy8Zl3yVT3cnPbKlJa+VmX5+c7Xw++mreYYUOOPtTrdrv59sd5VNbUcvHwwbRqdXoraRkMBtLS0k7rNY7FS2/PYIu2Hca2sXVfkpaV7Oejz2dzw1VjG7l1J0YjesJCE9U8v9YKzdqhPg4lSSImOobBfXvQeehYOg2/Cn1Ei4M5pqWD+xW7DhaV0Ov12O32BpOaRg0dTKZ/G091zae93YPVqGVwZgRTkndRsHP9Udu4bsMmxk15ine2+Pi6OJKb/vUhL//fzBN9yM3KuqwCDI76w8+muFQWrt/ZSC06eTqpYSESQWgKRBAWTomioiKmvfQm9z35PN/9NI9Q6PA9jzaxFkL++hOrPKW5DOjSlosG98GdtwMAWVVQVQVFCWHSHRy0MWsPna7yzxKlUiw2B7JOjxoKooaCtLTLWGuyjnicqqr8651PkTpdgCk6Eb3FgTFjIN9sLiYra+8xXbs5Cx0mXoXUY3vemyI9YmKW0DQ1myD8zDPPMGDAAMxmMxEREcd0zIQJE5Akqd7PqFGjTm9D/wctW7ma8VNfZ7E/nR0RfZm+uIDJDz992ED8yF0TcWT/ijt/F35XNe7s9XRSs7lu3GWMHDqEUckSgZ0LsUfH4dz0E4agi4QW4Z6ZtyiLkX07HVvDNHqCtWWoSEh6M2ooQNBZQVA+uCZ37959PP3Ca/zr5TfJzc0F4MCBA1To4xr0rg1pPfnk27kn8Aw1L5mJEQTctfW2+apL6dn29A7Hn05a0RMWmqhmc0/Y7/czbtw4+vfvz7vvvnvMx40aNYr333+/7neDQay9PJVUVeWVWXPQdxpZt80c35rdRfD9T/O55IIRDY6JjIzko5efZvHS5ezal8M5Fw+jU8cOdX+/f/JE/lJRwZat28nOzefnNduo2LkDgybIRb07MOGaK46pbZurjFTLRqK1mnDxBb2ZtcUyB3x2AN7+4BM+W3MAfVovCKjM/9cHTBjckSHn9EEKNew5KcEAFtvZn8/5gcl/4faH/0meIQVdVEuCpdm01ZQz6f6HGrtpJ0wnesJCE9VsgvATTzwBwIwZM47rOIPBQHx8/GloUdOTtXcfz739EQXOIAYZBnRIYcqkCad1RmtVVRUVqqVB4gxTi3SWrFt9yCAM4clTg88byODDzI+Kiopi0HkDGQRMuC48Y1er1TbonR6JL6EHD2wp53zLPjpFeFlWamWZ1Ie4lhbKy8v5ctUeTJlD6vbXZA7iowXzuHT0MFpqaigLBpC1urq/K/tWct2Tfz3m6zdXFouFmS8+zfJVq9m2ay+9Rp5L925djuu5b2rEEiWhqWo2w9EnauHChcTFxZGRkcHtt99OeXl5YzfptKiuruZvz75NfuIgyByOr91w5pZYmfbyW6f1umazGV3I02B7yO/BYTWdsuvodLrjDgJRNit+yUC+S8v6Ypkynw4/OhJio/ll0TJ8EelU7t+GsyS37hh3RBtWrFrDtPtux7FvHq5966g+sA1px1zuuuzcetWgzmaSJHFOv77cOv5aenTv2qwDMIBeDEcLTVSz6QmfiFGjRnH55ZeTlpbG3r17efjhhxk9ejQrVqxAozl0OTufz4fPd7AAeE1NzZlq7kn57+dfE0g9B8Mfer2GqERW7NiG1+s9bWXxDAYD3ZIiWFNbjsF2sNxhKGsZNz826bRc81j59i7nnwP8JEUaULEjSSq/7FrM3OxOrHWY2bMuB32rzqhF+5DWL6LduZcgBdxEOOwkJibw0cvPkJWVhdPppGPHm45YS1loGg73/tWLUoZCE9WoPeEHH3ywwcSpP//s3HniyyKuvvpqLrnkEjp37syYMWP47rvvWLNmDQsXLjzsMdOmTcPhcNT9JCUlnfD1z6TcojIMtoY1bn06G9XV1af12lPvvYNe7EPZ8Qv+3Uux7PmJh68fRWJi4mm97tF0jPTTyuRD8TlRgz4UTy3DUsBUs591FVrsnYZgSGiNKb0n+s6jyVr+A9HOffTsEV7DLEkSbdu2pXv37iIANxOHe/8aRNpKoYlq1J7wvffey4QJE464T3p6+im7Xnp6OjExMWRlZTF06NBD7vPQQw9xzz331P1eU1PTLAJx784ZrF2Xizm2flttoRpiYo6tfu6J0uv1/PPhu/F6vTidTvR6faNmfPqdRatitEWihoIooSCy0Y6EhOKrxdS6D61CIQqKywlKGlBBDfp44s7mmxVKOPz7VyxREpqqRg3CsbGxZzQnbV5eHuXl5SQkJBx2H4PB0CxnUF96wUi+mf84RXoTRkcMqqLg3beGG4b2OezQ+6k2Z+58Ppu/ihrVgFn1MapPe2698eqTvp+oKAoffT6bRet3ogJ9O6Zzy3VXHvVx2Vq2x+vejtFsRaPRAipFJZVoW3QgJGswanWkJyfi9weQJFA9abRq2bi9d+HkHO79qxNpK4Umqtl85c/JyWHjxo3k5OQQCoXYuHEjGzduxOl01u2TmZnJ7NmzAXA6ndx3332sXLmS/fv3M3/+fC699FLatGnDyJEjD3eZZkun0/H2s49wWUItiYVLaFO+gn/eMIQrL7vojFx/4dLlvLVoN952I9BnDCKYOYIvdnmY9eU3J33uR599iZlbPRS3GkRJq0F8lq3hnsefPepxU556jY+yYykqrUT21bAzt4qffd35298fxp2z+be9JPR6PVqNhni9D4fDcdLtFZoeMTFLaKqazcSsxx57jJkzD6YN7N49fN9uwYIFDB48GIBdu3bV3f/UaDRs3ryZmTNnUlVVRWJiIiNGjOCpp55qlj3dY2EymfjrLTc0yrU//WEhxrRz620zJrRj7vL5XHfFmBM+b2FhIWsKfJjapdZtM0UlsnVvPjt27qJ9ZsZhj41PTGTq+/OY9+1n7Ni/m8zBA3ni/JFIksSwtVv4dc9y5Pj2BN3V2Eu28NiDt51wO4WmTS/uCQtNVLMJwjNmzDjqGmH1D2n1TCYTP/3002lulfA7b4hDDjt7T3IUcOv2nfjtrRqsQ5Zj0lizccsRgzCE/x9cctX4BtsfnnIb1x04wE+LlpMQF8fI858Sk6/OYmI4Wmiqmk0QFpq21Fg7RV43WqO5bpsSCpJgP7nA1jotBa1rA5Bab7tSVUiHtv1O6twpKSncemPKSZ1DaB7ExCyhqWo294SFpu2uW67DtHc+3uoyAPyuGtg2l3v+ct1JnTc9PZ1Msxu/s7JuW8BdS1Ion549up3UuU9GTk4O27dvJxgUH+7NgagnLDRVkqo249IoZ0BNTQ0Oh4Pq6mrsdntjN6dJc7lcfPDZbPbkFtEyJoKbrxlLZGTDtcvHy+/389xr77ApuwQVaN8ykgfvnIjZbD7qsQB79+5lf24enTu0P+mMV6Wlpdz3z1fIUxyENCYivPncfsVIRpx/9PrEwpn3+/t389SedH58bWM3RxAaEEH4KEQQbr48Hg93P/4ce7xWQpZYDDW5DEx38Mjdfz3hZVM33zuVopaD0OgODrP7t83jw6cmn9HldsKx+f39u31qD9o/vq6xmyMIDYjhaOGs9a9X3yE7sifmNn2wJaShzziPRWVmZn/34wmdr6ioiNyApV4ABiCtHx9+OecUtFg4XXRiiZLQRIkgLJy1tuSUobfUX/drSmjLzys2ntD5vF4viqbhRDOt3ojT5T6hcwpnhlbcExaaKBGEhbPW4W60KCd4ByY5OZlIfwl/voPj3b+BKy4cfkLnFM4MDeKum9A0iSAsnLXaxtsI+ur3UN2luQzseuS1xYcjyzJ/v2ksoa0/4q0uI+hz49mzghFtrEddryw0LlkSQVhomsQ6YeGs9chdt3L7I/+i0JiKxtECtWwf3Rx+rr/yvhM+Z79ePfm0XVu++PZHKqpLGXPX5bRp0/oUtlo4HbTinrDQRInZ0UchZkc3b6qqsmL1Gvbsy6Ffjy5kZLRr7CYJZ9Dv79+SpzKJfWRHYzdHEBoQPWHhrCZJEgP69mFA3z6N3RShEWnFcLTQRIl7woIgnPVkMTFLaKJEEBYE4ax3sjWtBeF0EUFYEARBEBqJCMKCIAiC0EhEEBYE4ewnhqOFJkoEYUEQBEFoJCIIC4IgCEIjEUFYOOuVl5ezbds2XC5XYzdFaDRiOFpomppFEN6/fz+33HILaWlpmEwmWrduzdSpU/H7/Uc8zuv1cscddxAdHY3VamXs2LEUFxefoVYLjS0QCHDfk89x7dS3uOP9JVz1wPO8/M4Hjd0sQRCEOs0iCO/cuRNFUXjrrbfYtm0b06dP58033+Thhx8+4nF33303c+bM4fPPP2fRokUUFBRw+eWXn6FWC43tP2+8x2ZNW/QZ52FL6YSUMZRvdrn56ZcFjd00QRAEoBnnjn7uued444032Ldv3yH/Xl1dTWxsLLNmzeKKK64AwsG8ffv2rFixgn79+h3TdUTu6Obrirum4mtbv8SgqqokFy/l9WceaqRWCWdS3fv3n+2xP7S9sZsjCA0029zR1dXVREVFHfbv69atIxAIMGzYsLptmZmZJCcnH1cQFpqvoAKeqlLyt64gGAxhNFto1XUgQaVZfu8UTkLz7GoI/wuaZRDOysrilVde4fnnnz/sPkVFRej1eiIiIuptb9GiBUVFRYc9zufz4fP56n6vrq4Gwt+ohebF4KtkzZIfMXUYjKw34HZVs2nO+wy6dIB4PZsxm8122DSUf37//v46q2KdsNBUqY3ogQceUIEj/uzYsaPeMXl5eWrr1q3VW2655Yjn/uijj1S9Xt9ge+/evdX777//sMdNnTr1qG0SP+JH/DTeT0lJyXG/f6untT/Kp5EgNI5GvSdcWlpKeXn5EfdJT09Hr9cDUFBQwODBg+nXrx8zZsxAlg8/r+zXX39l6NChVFZW1usNp6SkMGXKFO6+++5DHvfnb9JVVVWkpKSQk5ODw+E4jkfXfNTU1JCUlERubu5Zed/7bH988L/1GKuqqg77Xvzz+1dVVfx+PzExMaKIg9AkNepwdGxsLLGxsce0b35+PkOGDKFnz568//77RwzAAD179kSn0zF//nzGjh0LwK5du8jJyaF///6HPc5gMGAwGBpsdzgcZ+2H2+/sdvtZ/RjP9scH/xuP8UjB9HDvX0FoqprFEqX8/HwGDx5McnIyzz//PKWlpRQVFdW7t5ufn09mZiarV68GwkHzlltu4Z577mHBggWsW7eOm266if79+4tJWYIgCEKT0CwmZs2bN4+srCyysrJo1apVvb/9PpoeCATYtWsXbre77m/Tp09HlmXGjh2Lz+dj5MiRvP7662e07YIgCIJwOM0iCE+YMIEJEyYccZ/U1FT+fHvbaDTy2muv8dprr53wtQ0GA1OnTj2rh7jO9sd4tj8+EI9REJqrZpusQxAEQRCau2ZxT1gQBEEQzkYiCAuCIAhCIxFBWBAEQRAaiQjCx+hEyyk2N8888wwDBgzAbDY3SPnZXL322mukpqZiNBrp27dv3TK2s8HixYu5+OKLSUxMRJIkvv7668Zu0ik3bdo0evfujc1mIy4ujjFjxrBr167GbpYgnBIiCB+jEy2n2Nz4/X7GjRvH7bff3thNOSU+/fRT7rnnHqZOncr69evp2rUrI0eOpKSkpLGbdkq4XC66du16UisAmrpFixZxxx13sHLlSubNm0cgEGDEiBG4XK7GbpognDQxO/okHK2cYnM2Y8YMpkyZQlVVVWM35aT07duX3r178+qrrwKgKApJSUnceeedPPjgg43culNLkiRmz57NmDFjGrspp1VpaSlxcXEsWrSI8847r7GbIwgnRfSET8LRyikKjcvv97Nu3bp65SxlWWbYsGGsWLGiEVsmnIzfK5uJ955wNhBB+AT9Xk5x0qRJjd0U4TDKysoIhUK0aNGi3vajlbMUmi5FUZgyZQrnnHMOnTp1auzmCMJJ+58Pwg8++CCSJB3xZ+fOnfWOyc/PZ9SoUYwbN46JEyc2UsuP3Yk8RkFoiu644w62bt3KJ5980thNEYRTolmkrTyd7r333qOmxExPT6/7d0FBAUOGDGHAgAG8/fbbp7l1p8bxPsazRUxMDBqNhuLi4nrbi4uLiY+Pb6RWCSdq8uTJfPfddyxevLhBDnlBaK7+54Pw6Syn2FQcz2M8m+j1enr27Mn8+fPrJispisL8+fOZPHly4zZOOGaqqnLnnXcye/ZsFi5cSFpaWmM3SRBOmf/5IHysfi+nmJKSUldO8XdnU68qJyeHiooKcnJyCIVCbNy4EYA2bdpgtVobt3En4J577mH8+PH06tWLPn368OKLL+Jyubjpppsau2mnhNPpJCsrq+737OxsNm7cSFRUFMnJyY3YslPnjjvuYNasWXzzzTfYbLa6+/kOhwOTydTIrROEk6QKx+T9999XgUP+nE3Gjx9/yMe4YMGCxm7aCXvllVfU5ORkVa/Xq3369FFXrlzZ2E06ZRYsWHDI12v8+PGN3bRT5nDvu/fff7+xmyYIJ02sExYEQRCERtI8bmoKgiAIwllIBGFBEARBaCQiCAuCIAhCIxFBWBAEQRAaiQjCgiAIgtBIRBAWBEEQhEYigrAgCIIgNBIRhAVBEAShkYggLAiCIAiNRARh4ay2ePFiLr74YhITE5Ekia+//rqxmyQIglBHBGHhrOZyuejatSuvvfZaYzdFEAShAVFFSTirjR49mtGjRzd2MwRBEA5J9IQFQRAEoZGIICwIgiAIjUQEYUEQBEFoJCIIC4IgCEIjEUFYEARBEBqJmB0tnNWcTidZWVl1v2dnZ7Nx40aioqJITk5uxJYJgiCApKqq2tiNEITTZeHChQwZMqTB9vHjxzNjxowz3yBBEIQ/EEFYEARBEBqJuCcsCIIgCI1EBGFBEARBaCQiCAuCIAhCIxFBWBAEQRAaiQjCgiAIgtBIRBAWBEEQhEYigrAgCIIgNBIRhAVBEAShkYggLAiCIAiNRARhQRAEQWgkIggLgiAIQiMRQVgQBEEQGsn/A/pNKKjvMRkcAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=1e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=2e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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vv54vvvgiaLKVnJwcLrvsMtxuN4sWLSIuLu7CnYD0r1Gr7wmHh4fTt2/foIfJZAL+qqGeaO3atQBB9ztP5ZFHHkEIwbhx43A6nUGvHThwgAceeIC4uDhuueWWf3g2lWvXrh3Jycm8+uqr5OfnB712OjWLgQMH4vf7+d///heU/sorr6AoCgMGDDiXxT2lH3/8ESj9EQWls5GlpaVxww03MHz48HKPq6++miVLlpCenn5By7l3796gmb1UVWXdunVn9PmxWCzcd9997Nq1i4cffrjc63PnzmX69On069ePzp07n5NyV2TYsGFoNBqefPLJcr2oT/cztHbtWlatWhVIczgcvPfeeyQlJZ1WM/e5VNaTvOwzVFYLfuCBB8p9fkaOHEmvXr2C+hY4HA4GDhzI0aNH+emnn2jcuPEFLb/071Gra8In4/P56Nq1K7fffjv169dn7dq1fPjhh1x33XXlxn+eTM+ePXnxxRe55557aNOmDePGjSMuLo6dO3fy/vvvo6oqP/300xnt80xpNBrefvttBg8eTGpqKjfccEOgDNu2beOXX3456faDBw+md+/ePPzww6SlpZGSksL8+fOZPXs2EydOPKOgcqZ2794daGouKSlh9erVfPzxxzRq1Ijrr78eKP0DqtVqA82KfzdkyBAefvhhvvrqq8CQqk8//ZSDBw8GguSvv/7K008/DcD1119/TmpmZbcZbrrpJsxmMzNnzmTbtm1nfN/woYceYuPGjTz//POsWrWKq666CrPZzPLly/nss89o3rw5H3/88T8u78k0atSIhx9+mKeeeooePXpw5ZVXYjQa+f3336lbt26FY5j/fg5ffvklAwYM4M477yQiIoKPP/6YAwcOMGPGjH98C+RkfvvtN1wuFwC5ubn88MMPLFu2jFGjRgWGHH7++eekpqaWu19eZsiQIdxxxx1s2LCBdu3ace2117J27VpuvPFGduzYETQ2OCQkpNJbB5J0xqqqW3ZVGjt2rDCbzeLee+8VCQkJwmQyiSZNmoj//ve/Zz2D1K+//iqGDh0q6tSpI/R6vahfv764+eabRVpaWoXHLxsidaJevXqJli1blksvGw5T5u9DlMosX75cXHrppcJmswmr1SratGkTNGyosuMKUTqc5O677xZ169YVer1eNG7cWEydOrXctJBUMstVYmKiGDt2bIX7rgx/G1qi1WpFvXr1xH/+8x+RmZkphBDC4/GIyMhI0aNHj5PuKzk5WbRt2zbwvFevXpUOgfr7dauoXKczRKlDhw7iyiuvFHXq1BE2m020bdtWfPTRR5VOpXkyfr9fTJs2TXTr1k3Y7XZhMplEy5YtxRNPPFHhZ/Lvn4kTy/739+fAgQMCEFOnTg2k/X2IUpmPPvpItG3bVhiNRhEeHi569eolFixYcMrjCiHEvn37xPDhw0VYWJgwmUyiY8eOYs6cOUF5KpvlqqyMp7ruFe3rxIfBYBDNmjUTzzzzjPB4PEIIIdavXy8A8eijj1a6r7S0NAGIu+++O3CelX1+EhMTT7uMknQqihDnqCdEDTJu3Di+++67wP0iSTpTSUlJtGrVqtwEGpIkSWeiVt8TliRJkqTq7F97T/hUCgoKynW0+ruT9bT+t/L7/YE5lCsTEhJCSEjIBSpR1cnOzsbv91f6usFgOKMpLv8tnE4nBQUFJ80TERERNNmHJNVUMghX4q677jplZ5h/YUv+KR0+fLjSebTLPP744+d8fd/q6KKLLio30cmJevXqVW4RDql0Uo1TDTdbsmQJF1988YUpkCSdR//Ke8KnY/v27acc8nI2Y3JrO5fLxfLly0+ap7KxubXNihUrTtqaEh4eTvv27S9giWqGY8eOsW3btpPmad++/XkdcSBJF4oMwpIkSVVo3LhxfPzxx0yZMoWHHnookD5r1iyuuOIK2eJWy8mOWZIkSVXMZDLx/PPPn9Xc2VLNJoOwJEnSnzZu3sL4/z7DNfc8xW2Tnmbj5i0X5Lh9+/YlNjb2pJOizJgxg5YtW2I0GklKSuKll14Kej0pKYlnn32WG2+8EZvNRv369XnvvfcCr3s8HiZMmEBcXBwmk4nExMTA8W688cZy06J6vV6io6P58MMPgdLFUu68804eeOABIiIiiI2NLde349ChQwwdOpSQkBDsdjsjR44kMzMz8PrkyZNJTU3l008/JSkpidDQUEaNGhVYpOSTTz4hMjISt9sdtN9hw4YFJu8p28dHH31E/fr1CQkJYfz48fj9fl544QViY2OJjo7mmWeeOaOyjRs3rtwkLBMnTgzqe/Ddd9/RunVrzGYzkZGR9O3bF4fDUeH7dbpkEJYkSaI0AD/4zkwOxfSgOLk3h2N78uA7My9IINZqtTz77LO88cYbHDlypNzr69evZ+TIkYwaNYotW7YwefJkHn30UaZPnx6U76WXXqJDhw5s3LiR8ePHc9tttwWm53399df54Ycf+Oabb9i1axeff/45SUlJQOmyqvPmzePYsWOBfc2ZM4eSkhKuvvrqQNrHH3+M1WplzZo1vPDCCzz55JOB+flVVWXo0KHk5uaybNkyFixYwP79+4O2h9IVu2bNmsWcOXOYM2cOy5Yt47nnngNgxIgR+P1+fvjhh0D+rKws5s6dy4033hi0j59//pl58+bx5Zdf8uGHH3L55Zdz5MgRli1bxvPPP88jjzzCmjVrzqhsJ3Ps2DGuueaawCxqS5cu5corr/zntwuqbJoQSZLOisvlEjfccINISEgQNptNdOrUSaxcubKqi1Xj3TbpaXH5q8vEoNd/Czwuf3WZuG3S0+f1uGPHjhVDhw4VQgjRuXNnceONNwohhJg5c2ZgVrPRo0eLSy+9NGi7+++/X7Ro0SLwPDExUVx33XWB56qqiujoaPH2228LIYS44447RJ8+fSqd0a1Fixbi+eefDzwfPHiwGDduXOB5r169RPfu3YO2ueiii8SDDz4ohBBi/vz5QqvVikOHDgVe37ZtmwDE2rVrhRClM7VZLBZRWFgYdB6dOnUKPL/tttvEgAEDAs9feukl0aBBg0C5K9pHv379RFJSkvD7/YG0pk2biilTppx22U58H8rcddddolevXkKIv2Zeq2gWxH9C1oQlqYbx+XwkJSWxfPly8vPzmThxIoMHD5YzwP1DeS4V5W9zXCsaDXkutZItzr3nn3+ejz/+OGiuaihdT/vvSzB269aNPXv2BI1Fb9OmTeD/FUUhNjaWrKwsoLS5ddOmTTRt2pQ777yT+fPnB+3vpptuYtq0aQBkZmby888/B9U+/75/gLi4uMD+d+zYQUJCQtD83C1atCAsLCzofJKSkoJWaztxHwA333wz8+fP5+jRowBMnz6dcePGBa2z/vd9xMTE0KJFi6A5ymNiYs64bCeTkpLCJZdcQuvWrRkxYgTvv//+ObmHL4OwJNUwVquVxx57jPr166PRaBg1ahQGg6HCpQSl0xdu0iD+voKUqhJuunB/Jnv27Em/fv2YNGnSWW2v1+uDniuKElgVq127dhw4cICnnnoKp9PJyJEjA2thQ+na2vv372fVqlV89tlnJCcn06NHj9Pe/7koI0Dbtm1JSUnhk08+Yf369Wzbto1x48adch//tGwajaZc07LX6w38v1arZcGCBfz888+0aNGCN954g6ZNm5Zbo/5MySAs1Rput5sHH3yQunXrYjab6dSpU7n1pCuydOlSFEWp8LF69eoKt9mwYQNDhgwhIiICi8VCq1ateP3118+67L/88kvQcfV6PY0aNWLy5Ml4PJ6Tbrtnzx5yc3Np1KjRWR//RGd7HQG2bdvGiBEjaNCgARaLhTp16tCzZ8/A8pRlfv/9dyZMmEDLli2xWq3Ur1+fkSNHsnv37nNyDmfj5quH4Nm5NBCIhari2bmUm68eckHL8dxzz/Hjjz8GLQvZvHlzVqxYEZRvxYoVNGnSpMI1qCtjt9u5+uqref/99/n666+ZMWMGubm5AERGRjJs2DCmTZvG9OnTz3h97ubNm3P48GEOHz4cSNu+fTv5+flnvJTlTTfdxPTp05k2bRp9+/atdPWrc1m2qKiooHviAJs2bQp6rigK3bp144knnmDjxo0YDAZmzpz5j8omZ8ySao2yhTkmTpxI48aNmT59OgMHDmTJkiV07979lNvfeeedXHTRRUFpFQW2+fPnM3jwYNq2bcujjz5KSEgI+/btq7BDzenavHkzAC+//DJRUVGUlJTw7bff8sQTT+B2uyvtNet0OrnuuuuYNGkSoaGhZ338E/2T63jw4EGKiooYO3YsdevWpaSkhBkzZjBkyBDeffdd/vOf/wClza4rVqxgxIgRtGnThoyMDP73v//Rrl07Vq9eTatWrc7JuZyJtimtef5WeP/rH8hzldaAb771CtqmtL6g5WjdujXXXntt0I+6e++9l4suuoinnnqKq6++mlWrVvG///2Pt95667T3+/LLLxMXF0fbtm3RaDR8++23xMbGEhYWFshz0003MWjQIPx+P2PHjj2jcvft2zdQ9ldffRWfz8f48ePp1asXHTp0OKN9jR49mvvuu4/333+fTz755Iy2Pduy9enTh6lTp/LJJ5/QpUsXPvvsM7Zu3Urbtm0BWLNmDYsWLeKyyy4jOjqaNWvWkJ2dTfPmzf9Z4c7pHWapxjvbpRyr2po1a8ot1+d0OkXDhg1Fly5dTrptZcvrVaSgoEDExMSIK664IqgTyD917bXXCpPJJHw+XyDN7XaL2NhYkZycXOE2Ho9HXH755WL06NFntXxiRf7JdayMz+cTKSkpomnTpoG0FStWCLfbHZRv9+7dwmg0imuvvfbsCl9DVdQh6MCBA8JgMAQtN/ndd9+JFi1aBJZKPfE9EqK0Y9Yrr7wSlJaSkiIef/xxIYQQ7733nkhNTRVWq1XY7XZxySWXiA0bNgTlV1VVJCYmioEDB5YrZ69evcRdd90VlDZ06NCgJUwPHjwohgwZIqxWq7DZbGLEiBEiIyMj8Prjjz8uUlJSgvbxyiuvVLg85PXXXy8iIiKEy+UKSq9oHxVdw7+X91RlE0KIxx57TMTExIjQ0FBx9913iwkTJgQ6Zm3fvl3069dPREVFCaPRKJo0aRK0VOzZkkG4Gihb23XHjh1ixIgRwmaziYiICHHnnXcKp9MZlPfIkSPihhtuENHR0cJgMIgWLVqIDz/8MChPWlqauO2220STJk2EyWQSERERYvjw4eLAgQMVHnfbtm3immuuEWFhYSI1NVUIIURhYaG46667RGJiojAYDCIqKkr07dtXrF+/PmgfGzZsEP379w+sYdynTx+xatWqCo+zZ88eMXbsWBEaGirsdrsYN26ccDgc5+Qa3n///UKr1YqCgoKg9GeffVYAQb0i/+7EIFxYWCi8Xm+led9++20BiO3btwshSn+0nItg3KpVK9G+ffty6e3atRMRERHl0v1+v7j66qvFoEGDTlreM/VPruPJDBo0SMTExJwyX7t27US7du3O6hjSP1dUVCTsdruYMWNGVRdF9OnTR9xxxx1VXYzzTjZHVyMjR44kKSmJKVOmsHr1al5//XXy8vICzTGZmZl07twZRVGYMGECUVFR/Pzzz/zf//0fhYWFTJw4ESi937Zy5UpGjRpFvXr1SEtL4+233+biiy9m+/btWCyWoOOOGDGCxo0b8+yzzwY6Jtx666189913TJgwgRYtWpCTk8Py5cvZsWMH7dq1A0rv//Xo0QO73c4DDzyAXq/n3Xff5eKLL2bZsmV06tSp3PklJyczZcoUNmzYwAcffEB0dDTPP/98II/X6z3lCjplIiIiAr0hN27cSJMmTbDb7UF5OnbsCJTe2znVfaUbbriB4uJitFotPXr0YOrUqeWa0RYuXIjdbufo0aMMGzaM3bt3Y7Vauf7663nllVcwmUynVfYTeTwedu3aFZiMoEx6ejrbt2+nV69e5ba55ZZbOHbsGL/88gs6XfmvcVVeRwCHwxFYDemHH37g559/PuWYTCEEmZmZtGzZ8rTKLZ07qqpy/PhxXnrpJcLCwhgy5MLeBz9RXl4eS5cuZenSpWfU3F5jVfWvAOmvmuKQIUOC0sePHy8AsXnzZiGEEP/3f/8n4uLixPHjx4PyjRo1SoSGhoqSkhIhhAj8e6JVq1YJQHzyySfljnvNNdeUyx8aGipuv/32k5Z72LBhwmAwiH379gXS0tPThc1mEz179ix3nLLxj2WuuOIKERkZGZRWVis9nceJNfuWLVuKPn36lCtj2VjAd955p9LzWLFihbjqqqvEhx9+KGbPni2mTJkiIiMjhclkKtdc16ZNG2GxWITFYhF33HGHmDFjhrjjjjsEIEaNGnXS61WZjRs3CkA89dRTIjs7W6Snp4t58+aJlJQUYbVaxe+//x6UPy0tTQDCZDIJq9UaePz6669Veh1PdMsttwT2r9FoxPDhw0Vubu5Jt/n0008FUK5lRzr/Dhw4IABRr149sXDhwiotS2JiorDb7eWa22srWROuRm6//fag53fccQdvvfUWP/30E61bt2bGjBmMHDkSIQTHjx8P5OvXrx9fffUVGzZsoFu3bpjN5sBrXq+XwsJCGjVqRFhYGBs2bChX47r11lvLlSUsLIw1a9aQnp5O3bp1y73u9/uZP38+w4YNC1oRKS4ujtGjR/P+++9TWFgYVKP6+3F69OjBzJkzg/KlpKScdk/cE9dzdjqdGI3GcnnKaqYnW82oa9eudO3aNfB8yJAhDB8+nDZt2jBp0iTmzZsXeK24uJiSkhJuvfXWQMeZK6+8Eo/Hw7vvvsuTTz5J48aNT6v8Zf744w8AHn30UR599NFA+sUXX8zy5ctJTU0Nyp+YmHjKWXqq4jqeaOLEiQwfPpz09HS++eYb/H7/SXt579y5k9tvv50uXbqccYcg6Z9LSkqqNgtFpKWlVXURLigZhKuRv//xbtiwIRqNhrS0NLKzs8nPz+e9994Lmg/2RGUD051OJ1OmTGHatGkcPXo06MtVURNlRev/vvDCC4wdO5aEhATat2/PwIEDGTNmTCDgZmdnU1JSQtOmTctt27x5c1RV5fDhw0FNi/Xr1w/KV7YUXV5eXiAIh4eHn9USkWazudx8s1C6tGLZ62eiUaNGDB06lO+//x6/3x8YBlK2n2uuuSYo/+jRo3n33XdZtWrVGQfhsp7Rc+fOxWAwkJmZyZQpU1i/fv1Z93iu6uvYrFkzmjVrBpSOP73ssssYPHgwa9asCZp0ASAjI4PLL7+c0NBQvvvuuzMaciNJNZ0MwtXYiX+sygadX3fddZXWFMpms7njjjuYNm0aEydOpEuXLoSGhqIoCqNGjapw8HpFf1hHjhwZqKnOnz+fqVOn8vzzz/P9998zYMCAszqfyv64nvgjwePxBMYtnkpUVFRgn3FxcYEZdk5UNu6votr8qSQkJODxeHA4HIEfCXXr1mXbtm3ExMQE5Y2OjgY4qxl0/vjjDxITExk4cGAgrV27drRo0YK33nqLqVOnnvE+q9N1BBg+fDi33HILu3fvDvrhVlBQwIABA8jPz+e333476/1LUk0lg3A1smfPnqBa6d69e1FVlaSkJKKiorDZbPj9/lPWcL777jvGjh0btMqKy+UiPz//jMoTFxfH+PHjGT9+PFlZWbRr145nnnmGAQMGEBUVhcViqXCWpp07d6LRaM5qgP3KlSvp3bv3aeU9cOBAYAL61NRUlixZUq4JvGwC97836Z6O/fv3YzKZCAkJCaS1b9+eBQsWcPTo0aBgkp6eDpQGtDP1xx9/BDo+lWnevDkdOnRgxowZZxWEq9N1hL+asU9siXG5XAwePJjdu3ezcOHCM57QQZJqAxmEq5E333yTyy67LPD8jTfeAGDAgAFotVquuuoqvvjiC7Zu3VpuMoPs7OxAANBqteXu77zxxhtBc8yejN/vp7i4OKgpNDo6mrp16waaKrVaLZdddhmzZ88mLS0t8Ec8MzOTL774gu7du5frYXs6zvZe5vDhw3nxxRd57733uO+++4DSmZ+mTZtGp06dAj8ISkpKOHToEHXq1KFOnTpA8LUrs3nzZn744QcGDBgQNB/tyJEjee655/jwww/p06dPIP2DDz5Ap9MFLXt2OjIyMsjKyqpwcop+/frxzDPPsGPHjjOeEKAqriOU3hIpaxUo4/V6+eSTTzCbzYFA6/f7A5NOzJ49my5dupzR+UlSbSGDcDVy4MABhgwZQv/+/QPzt44ePZqUlBSgdDq7JUuW0KlTJ26++WZatGhBbm4uGzZsYOHChYHmx0GDBvHpp58SGhpKixYtWLVqFQsXLiQyMvK0ylFUVES9evUYPnw4KSkphISEsHDhQn7//feg2vXTTz/NggUL6N69O+PHj0en0/Huu+/idrt54YUXzuoanO29zE6dOjFixAgmTZpEVlYWjRo14uOPPyYtLS2wHirA2rVr6d27N48//nhgLdSrr74as9lM165diY6OZvv27bz33ntYLJbAEmtl2rZty4033shHH32Ez+ejV69eLF26lG+//ZZJkyaVa05VFCWQpyJl94Nbty4/K9Nll13GM888w9y5c884CFfFdYTSoVOFhYX07NmT+Ph4MjIy+Pzzz9m5cycvvfRSoFXh3nvv5YcffmDw4MHk5uby2WefBZXjuuuuO+OyS1KNVJVds6VSZUN4tm/fLoYPHy5sNpsIDw8XEyZMKDdZR2Zmprj99ttFQkKC0Ov1IjY2VlxyySXivffeC+TJy8sTN9xwg6hTp44ICQkR/fr1Ezt37hSJiYlBs9uUHTc7OzvoGG63W9x///0iJSUlMAlHSkqKeOutt8qVfcOGDaJfv34iJCREWCwW0bt373LL6lV2nGnTppUbIvNPOJ1Ocd9994nY2FhhNBrFRRddJObNmyeEEOLr3w+J93/dFxi6UzaLkBBCvPbaa6Jjx44iIiJC6HQ6ERcXJ6677jqxZ8+eCo/j8XjE5MmTRWJiotDr9aJRo0blZioSonTiA04xdOmFF14IGob29+PYbDbRu3fvM7sQ/9DJrmOZiq6jEEJ8+eWXom/fviImJkbodDoRHh4u+vbtK2bPnh2Ur1evXicdNiVJ/xaKENWkX/q/2OTJk3niiSfIzs4OatqTzp2r312Fw+Nnzh2nnkP6XPnpp58YNGgQmzdvrrCmK0n/JpMnT2bWrFnlFkX4t5OrKEn/CgeOO8h1lB96cz4tWbKEUaNGyQAsVSo7O5vbbruN+vXrYzQaiY2NpV+/fkErJimKwqxZsy5YmTIyMrjjjjto0KABRqORhIQEBg8ezKJFiy5YGf5N5D1hqdYr8fjIKnJj0l/Y35xn06tZ+ne56qqr8Hg8fPzxxzRo0IDMzEwWLVpETk5OlZQnLS2Nbt26ERYWxtSpU2ndujVer5dffvmF22+/nZ07d1ZJuWozWROWar204yUAuLwqTs/p9RCX/p22b97I/x6+hXfvG84bD/+H7Zs3nrdjlY2Nfv755+nduzeJiYl07NiRSZMmBeZuLht1cMUVV6AoSuA5wNtvv03Dhg0xGAw0bdqUTz/9NGj/iqLw9ttvM2DAAMxmMw0aNOC77747aZnGjx+PoiisXbuWq666iiZNmtCyZUvuueeeoLW1Dx06xNChQwkJCcFutzNy5EgyMzOD9vXcc88RExODzWbj//7v/wITvpRRVZUnn3ySevXqYTQaSU1NDZqdLi0tDUVR+P777+nduzcWi4WUlJSgdZZrhaq+KS1J59vcP9JF4oNzROKDc8Th3HOzapNU+2zbtEFMn9BT+N/qIcQ7pf9On9BTbNu04dQbnwWv1ytCQkLExIkTyy3XVyYrK0sAYtq0aeLYsWMiKytLCCHE999/L/R6vXjzzTfFrl27xEsvvSS0Wq1YvHhxYFtAREZGivfff1/s2rVLPPLII0Kr1QZWAPu7nJwcoSiKePbZZ09abr/fL1JTU0X37t3FunXrxOrVq0X79u0DS/4JIcTXX38tjEaj+OCDD8TOnTvFww8/LGw2W9AShC+//LKw2+3iyy+/FDt37hQPPPCA0Ov1Yvfu3UKIv+azbtasmZgzZ47YtWuXGD58uEhMTDynK4dVNRmEpVrvf4v3BILw5sN5VV0cqZp647//CQTgsof/rR7ijf/+57wd87vvvhPh4eHCZDKJrl27ikmTJpXrKQ+ImTNnBqV17dpV3HzzzUFpI0aMCFoHGBC33nprUJ5OnTqJ2267rcKylK0l/f3335+0zPPnzxdarTZoWcuyBT7Wrl0rhBCiS5cuYvz48eWOfWIQrlu3rnjmmWeC8lx00UWB7cqC8AcffFDuODt27DhpGWsS2Rwt1XrZRW5CjKXdH3IclS8iIP276d05aDTB81prNAp69+lN/3k2rrrqKtLT0/nhhx/o378/S5cupV27dkyfPv2k2+3YsYNu3boFpXXr1o0dO3YEpf19EpQuXbqUy1NGnOZAmR07dpCQkBA0I16LFi0ICwsL7HvHjh3lljI9sSyFhYWkp6ef1jmUTccLpbP4wV/z5NcGMghLtZ7D7SPaVroyUG6xDMJSxbzGSFQ1OBCpqsBrjDivxzWZTFx66aU8+uijrFy5knHjxvH444+f12NWpHHjxiiKUu06X+n1+sD/l82nX9Ec+DWVDMJSrefw+Agx6jDrteTKmrBUiT4jb+XT7UogEKuq4NPtCn1Gll/q83xq0aIFDocj8Fyv15ebcrZ58+ZBw5gAVqxYUW7+7RM7U5U9r2z2tYiICPr168ebb74ZdPwyZXPPN2/enMOHD3P48OHAa9u3byc/Pz9w/ObNmwfmG6+oLHa7nbp1657WOdR2coiSVOs53H6Meg2hZr1sjpYq1SKlLdz0Km998w56dy5eYwR9brq1NP08yMnJYcSIEdx44420adMGm83GunXreOGFFxg6dGggX1JSEosWLaJbt24YjUbCw8O5//77GTlyJG3btqVv3778+OOPfP/99yxcuDDoGN9++y0dOnSge/fufP7556xduzZo+tG/e/PNN+nWrRsdO3bkySefpE2bNvh8PhYsWMDbb7/Njh076Nu3L61bt+baa6/l1VdfxefzMX78eHr16kWHDh0AuOuuuxg3bhwdOnSgW7dufP7552zbti1o7fH777+fxx9/nIYNG5Kamsq0adPYtGkTn3/++Tm+0tVcVd+UlqTz7aq3VojrPlgt+r60VNz/7aaqLo4kCSGEcLlc4qGHHhLt2rUToaGhwmKxiKZNm4pHHnlElJSUBPL98MMPolGjRkKn04nExMRA+ltvvSUaNGgg9Hq9aNKkifjkk0+C9g+IN998U1x66aXCaDSKpKQk8fXXX5+yXOnp6eL2228XiYmJwmAwiPj4eDFkyBCxZMmSQJ6DBw+KIUOGCKvVKmw2mxgxYoTIyMgI2s8zzzwTmDp37Nix4oEHHgjqmOX3+8XkyZNFfHy80Ov1IiUlRfz888+B18s6Zm3cuDGQlpeXJ4CgstR0ctpKqdYb8Nqv1Au3kFXoom6Ymbeva1/VRZKk805RFGbOnMmwYcOquijSSch7wlKt53D7Mek0GHVaSuRkHZIkVSMyCEu1XonHh0mvxajX4HD7qro4kiRJAbJjllTrOdz+0iCs05IjhyhJ/xLyTmPNIGvCUq2mqgKntzQIm/QaHB5ZE5YkqfqQQViq1Zze0nvAJn3pPWG5gIMkSdWJDMJSrVZW8zXpSmvCMghLklSdyCAs1Wol7uCacInHL++VSZJUbcggLNVqxX/2hjb+eU/YLwQef+2Zd1aSpJpNBmGpVisbF2zWazHptKVpbtkkLUlS9SCDsFSrBe4J/zlOGKDEK4OwJEnVgwzCUq124j1hk76sJiyHKUmSVD3IICzVamU1YaNOi1H3Z01Y9pCWJKmakEFYqtVK3D4MWg1ajRKoCcsJOyRJqi5kEJZqNYfHj+nPe8FlNWE5VliSpOpCBmGpVitbvAE4oSYsg7AkSdWDDMJSrVa2eAOAIVATls3RkiRVDzIIS7Wa0+MPNENrFAWjToNDjhOWJKmakEFYqtUcJzRHQ2mTtFOOE5YkqZqQQViq1Uo8/kAzNJSOF3bIccKSJFUTMghLtZrD7cN0YhD+cxEHSZKk6kAGYalWc3j8GP/WHF0sa8KSJFUTMghLtZrT87easF5DsUsGYUmSqgcZhKVarXSyDlkTliSpepJBWKrVThyiBDIIS5JUvcggLNVqJX8bomTWa2XvaEmSqg0ZhKVay+tX8fpFYB1hkDVhSZKqFxmEpVqrbCiSSXdiTViOE5YkqfqQQViqtUrK1hI+sWOWoXScsBCiqoolSZIUIIOwVGuVzRF94hAls16LTxW4fWpVFUuSJClABmGp1ipbN9j4t45ZgLwvLElStSCDsFRrOf5sjjb9bYgSIO8LS5JULcggLNVaFdaEDbImLElS9SGDsFRrBWrC+opqwnIRB0mSqp4MwlKtVej0oUC5yTpANkdLklQ9yCAs1Vr5Tg8hJh0aRQmkldWKZXO0JEnVgQzCUq1VUOIlxKgLSpMdsyRJqk5kEJZqrfwKgrBGUTDrtRTJ5QwlSaoGZBCWaq0CpxeLUVsu3W7WkePwVEGJJEmSgskgLNVaeSUeQgy6cumhZj3Hi91VUCJJkqRgMghLtVZ+iRersXwQtpv0HC+SQViSpKong7BUaxU4vYSYKgjCsiYsSVI1IYOwVGvlOz3lOmZBWXO0vCcsSVLVk0FYqpVcXj8ur4q1knvCOQ63XM5QkqQqJ4OwVCsVOr0AldaEvX5BoVMOU5IkqWrJICzVSvllQbiCe8KhZj0A2fK+sCRJVUwGYalWyvtzHHBFvaPLgrDsnCVJUlWTQViqlQ7mlgBQJ8RQ7rUwS2kQzix0XdAySZIk/Z0MwlKttD/bQVSIEaOu/IxZFoOOaJuRLUcKqqBkkiRJf5FBWKqV9mcXExdmqvT1htEhrD+UdwFLJEmSVJ4MwlKttC+7mLhQc6WvN44OYdvRQtw+/wUslSRJUjAZhKVax+dXOZhTQt3QymvCjaNtePwqK/Yev4AlkyRJCiaDsFTr7MoswqcK6oadUBPO2QOFRwNPG0RZaVnXzqTvt7B4Z6asEUuSVCUUIacNkmqZB7/7gwU7Mnnt6lR0Wg0cWg2LnwKdCQa/BqH1AMgpdvPqwt3szXZg0mloWz+ci5LCaVs/nNSEMMKt5XtWS5IknUsyCEs1hhCCAqeXI3lO8ku8ePyltVcFBSidqnLL0QLe+3U/I9rXY0hqPPjdMPMWMNrBmQ9hiXDZk/DnNkIIDuWWsOVoATszitiTWUShq3QmrQirgQiLAZ1WwaDTEGUzkhRppWFUCPUjLIRZ9FgMWiwGHSEmHVaDFkVRquLSSJJUQ8kgfApCCIqKiqq6GBVSVcGq/TkUOr0ISssqBKh/e0sVpTRQKQooihKYM7ksryrAr6r4/9xM+2c+hb/+BfALgaoK1LL9QuC4qhD4/AK/Wvr/AvD5BV6/wO334/OXpiPA41dxuH0UurwUOn24fSoaBbSKglcVFLu9lLj8uFV/oJxOj8rpalXXzpXt66FzZMKmz6AwHZr0Lw3Ch1dDdEuIawOa0vHCCBWEv/RfRUuWS0daEWQ6weFV8AsFn1DI9yjkuE4dZEMNgkijQK/T4taYcfn86DQabCYdYWYDZoMGnUYp/fGggEZR0GoUdBoFnVZBo5T+v16nwazTYjJoMeg0aJWy6136b9l7oNMqaDWaoPdNUPofVQS/X1ql9HPw58uoqgjal0ajoFUUNJrScv31OSDwXpS956dy4raVbXfi5ys21ERqQtgpf8jYbDb5Y0eqNWQQPoXs7Gyio6OruhiSJP0pKyuLqKioqi6GJJ0T5ef0k4IYDKX3BQ8fPozdbq/i0pwfhYWFJCQk1NpzrO3nB/+ucyz7TkpSbSCD8CmUNXvZ7fZa+8etTG0/x9p+fvDvOEfZFC3VJnKIkiRJkiRVERmEJUmSJKmKyCB8Ckajkccffxyj0VjVRTlvavs51vbzA3mOklRTyd7RkiRJklRFZE1YkiRJkqqIDMKSJEmSVEVkEJYkSZKkKlJjgvCUKVO46KKLsNlsREdHM2zYMHbt2nXK7b799luaNWuGyWSidevW/PTTTxegtJIkSZJ0ajUmCC9btozbb7+d1atXs2DBArxeL5dddhkOh6PSbVauXMk111zD//3f/7Fx40aGDRvGsGHD2Lp16wUsuSRJkiRVrMb2ji6b03nZsmX07NmzwjxXX301DoeDOXPmBNI6d+5Mamoq77zzzoUqqiRJkiRVqMZOW1lQUABAREREpXlWrVrFPffcE5TWr18/Zs2aVek2brcbt9sdeC6EwOPxUKdOHTldniRVc/L7K9U0NaY5+kSqqjJx4kS6detGq1atKs2XkZFBTExMUFpMTAwZGRmVbjNlyhRCQ0MDj7CwMKKjo6vtcoaSJP1Ffn+lmqZGBuHbb7+drVu38tVXX53zfU+aNImCgoLA4/Dhw+f8GJIknR/y+yvVNDWuOXrChAnMmTOHX3/9lXr16p00b2xsLJmZmUFpmZmZxMbGVrqN0WiU0+JJUg0lv79STVNjasJCCCZMmMDMmTNZvHgxycnJp9ymS5cuLFq0KChtwYIFdOnS5XwVU5IkSZJOW42pCd9+++188cUXzJ49G5vNFrivGxoaitlsBmDMmDHEx8czZcoUAO666y569erFSy+9xOWXX85XX33FunXreO+996rsPCRJkiSpTI2pCb/99tsUFBRw8cUXExcXF3h8/fXXgTyHDh3i2LFjgeddu3bliy++4L333iMlJYXvvvuOWbNmnbQzlyRJkiRdKDV2nPCFUlhYSGhoKAUFBdjt9qoujiRJZ0B+f6XqrsbUhCVJkiSptpFBWJIkSZKqiAzCkiRJklRFZBCWJEmSpCoig7AkSZIkVREZhCVJkiSpisggLEmSJElVRAZhSZIkSaoiMghLkiRJUhWRQViSJEmSqogMwpIkSZJURWQQliRJkqQqIoOwJEmSJFURGYQlSZIkqYrIICxJkiRJVUQGYUmSJEmqIjIIS5JU6xW5vFVdBEmqkAzCkiTVelPn7arqIkhShWQQliSp1luTllPVRZCkCtWoIPzrr78yePBg6tati6IozJo166T5ly5diqIo5R4ZGRkXpsCSdA75/X6Ki4sRQlR1UWocecmk6kpX1QU4Ew6Hg5SUFG688UauvPLK095u165d2O32wPPo6OjzUTxJOi9UVeXVd6exbMtBXIqRcK2bsUN6M6Bv76ouWo0hg7BUXdWoIDxgwAAGDBhwxttFR0cTFhZ27gsk1Qher5eioiLCwsLQaGpU4w8Ab370GT9nWDA1vwwD4ABenrWcenExtG7Z4h/tWwiB2+3GaDSiKMo5KW91JFsPpOqqRgXhs5Wamorb7aZVq1ZMnjyZbt26VZrX7XbjdrsDzwsLCy9EEaXzQAjBK+98xLKth3BpzNgp4epLOzN8yMCqLtoZWbZpL6amlwWlGRp1Zvp3c3jpHwThz76dyaxlGygSeuwaH8P7dOTqKwb90+JWqcq+v6qMwVI1VfOqBWcgLi6Od955hxkzZjBjxgwSEhK4+OKL2bBhQ6XbTJkyhdDQ0MAjISHhApZYOpfemf45P6UbydLHkFHoIiukEe8s3M7adZW//9WRSy2fptHqKPGcfWT58ecFfPx7Ju6m/TA064OryWW8/9t+flm87B+UtOpV9v1VZU1YqqZqdRBu2rQpt9xyC+3bt6dr16589NFHdO3alVdeeaXSbSZNmkRBQUHgcfjw4QtYYulcmr96C3vWLSPD4ccZ1ZKDR9JJSzvAxzPnVXXRzkiMVVeuOdVVmEOLpJiz3ufMxasxJbQKSjMlteXbX347631WB5V9f1VZFZaqqVodhCvSsWNH9u7dW+nrRqMRu90e9JBqpu2792JKuRxTbGO0ZhvmpFREQnu27ahZY0bvvmEEvq3z8DodALjyMqmTvpr/u3bkWe/T6S+fpigKrgrSa5LKvr8yBEvV1b8uCG/atIm4uLiqLoZ0IRgsCBRcRXk4C/NwFeWhtUXirWEf+1YtmvPJ03fRy3iARrmrGN3Qz7SXHsdisZz1PuPsBlRf8CxSfq+b+DDTPy1utSQ7ZknVVY3qmFVcXBxUiz1w4ACbNm0iIiKC+vXrM2nSJI4ePconn3wCwKuvvkpycjItW7bE5XLxwQcfsHjxYubPn19VpyBdQJF2K0dLitFYQkt7/qp+3EW5JNereT/CoqOjmXTXredsf/fcdB23PvkGngY9MVjteBwFGPYt456n7z1nx6hOanPPb6lmq1FBeN26dfTu/dfYyHvuuQeAsWPHMn36dI4dO8ahQ4cCr3s8Hu69916OHj2KxWKhTZs2LFy4MGgfUu3lKcxFX08DikAIgUajwVuSi09bVNVFq3L16sXz6fMP8uEX33EkexsJ0RHc9OLDhIaGnvdjHzt2DL/fT3x8/AULjjIES9WVImQ7zUkVFhYSGhpKQUGBvD9cwwy67RF2phfgNYWhscXgzz2IzWSga2II70+ZVNXF+9c5cuQo/33pXdL9IaBoiRJ5PHLb9bRs3vS8HbPs+5v68Cw2Pj30vB1Hks5WjaoJS9KZCDPpaN73apz52bjys7E27oPOYCKsaH1VF+1fRwjBvVPeoLhxf8za0j87RarKf1+dxrdvPInBYDivx5et0VJ1JYOwVGsNv7QLby7ehDkxFXNYFEIIvNsWcOuDN5zRfpxOJ6+//wlbD2ah1Sj0SGnEDaNH1sjZt6rKH39sIctUnxDtX39yFI2GoqhWLFiyjMv7XXpejy/b+6TqSgZhqdYaNrAfOo2WbxcuptgDkWaF8bePpGGD5NPehxCC2x9+liN1OmJMagnAV3sOc+ilN3ni/jvOV9HPyoo1a/nih0W4/dC4bgTjbxiNzWarNH9JSQk//LyAgqJi+vfuzuxfFrN+9xEAOrVI4paxo9FqteekbPkFhaj68r25NUYrOXkF5+QYJyPvuknVlQzCUq02qH9fBvXve9bbr1i9hjRdAlZbeCDNVCeBNbv2k5OTQ2Rk5Lko5llTVZUlvy7no6++Z7cnnOiU3mg0Gg47Ctnw4DN8/PJkTKbyw47WbdzM5Le/wlm3LVqDnRfvnIrBaKJBj2EAfH84nf1Pv8yLj99/Tsp5UYd22L6aD/GNgtK1Gdvpf8vN5+QYJyNnzJKqK9meJkknsX7LDgx1Esull1hiOHjwYBWU6IQylJQw7u5HeWbebn477KEwOoW0I+n4/X4MVju5sR346vsfy22nqirPf/A1tBqIJbIuQm9G07Q3RZhxHE8HwBxRl805nLNztFgsjLm0I66dS/G5nfi9Hpy7VzKsQ9IFWdXML4OwVE3JICxJJ5HaoinenPJTl1qc2VU+r/hr739CZlxX9OHxKJZwNHoTfoONzOzjAJjCY9m671C57dLS0sg1xASGB5U4XaAzYG7Qnsxdf82r7QuNZ+vO3eesvCOvGMS0SeO42LCPruzgnbuu4rYbrj1n+z8ZOWulVF3J5mipVlu59nc+mTmfYi9EWXXcecMokpPK12wr06NrZ+p9O5cMR10M1tIhaq7cdDrWNREVFXW+in1ath/KxpDUCtXvQ7hKVwtSNFpc7tK5Jz3F+dSLCi+3ncFgQKP6As/NJiMUFyJUFY1OH0jXFmXQrFHnc1rmevXq8eCd527SEUmq6WRNWKq1Fi5bzuTPlnAkricFib3YHd6J8c++y5EjR097HxqNhrenPEx3/X5CDiwmLG0xV9Rz89SDd/3j8pWUlLDs1+Ws37ARVa1gqaRT0GlKa7IarY7QsHDcWQeA0okphOpHt/83xo26stx29erVI1bJR/WXBmKz2YxR8VOyazlxLToC4Ck8TnOrk4YNG5zl2VUvcoSSVF3JyTpOQU7WUXONuecJ8pIvCUrze9ykuv/g2f/eXUWlKjVz7jw+mLMCR1hDFJ+biKL9vPDArWfUc/vTr2fwyZYSTDHJCCE4snEZuelpRFu1dGpWn/v+c12ltf6jR9OZMPlFdjlD8GnNWPL20Do+FJ85HEUI2jWqy503jz3v43fPt7Lvb4uHZrBtSvkfJJJU1WRztFRrFXgEBUf3kb5zA6qiQadRqJ/ag+NO96k3Po+ysrJ4Z84aDC36UTaAyK0255FX3ueL15857akcrxt5JYePvcPynYspMUcTaxEM7ZvC4/fefsoxzIXFDlyKici4REBgSG6EO2s9H0yeWCt/bGpEDV8eSqq1ZBCWai1nXgZpGR4srfqhKBpUn4edK3+ieUrVLuDw1ay5kHhRUJqi0ZCljSItLY3k5NOrDSuKwn8n3kZhYSGHDh0iPj6e8PDy94Ar8spHX6Ft2Z+wE4J1gakn73z8JQ/cccvpn0wNITwlVV0ESaqQDMJS7aVoMDdoH5izUNHpsTTpiqJJq9Ji+f0qikaL3+/H7Xaj1+vQ6w0IRYPff+Y1NrvdTqtWrc5om8xiP8rfassGq5096blnfPyaQMi7wlI1JYOwVGuZw6KJDbOSW1CEKgQ6jUJ0Ql1cuekX5Pgej4eX3v6IDfsy8AtoHBPCf++4meGDLuOlUXfgNkchtHrwuYlo0JpW2mM0bNjwgpTNrBM4/pYmVBWLvnYGK9nxRaquZBCWai27AVxGAxoFfCp4/YLc3FxSzRfmY//A0y+zw9QcQ+PSWuofbie3PvwcYSYdSoOuWCLro+jNCNVH9oovsaRUvLRfZmYmU9/5hEO5Tow6Qb/Obbh2+LB/tAzgJR2a882u/Zhi/ur97Nq3mrE3DjjrfVZnsiYsVVdyiJJUaw3tdRG7lv+EAxMerRmPzkTGxqW4HcXn/djp6elsy1Mw2P6a1lJnNJNhSebn9buxJrXGZLWhFV70GojsOoKNe46U209xcTG3PPoy223tcTbqQ37SJXy8sYD/ffjpPyrfTdddzdBkBd3O+Xh3LsW6Zz53X96edqkp/2i/1ZVf/qmTqilZE5ZqrbRDh/GqKsXr58Cfzb6hiS3YVVBAUVHRSRc3+KcOHz6C21wHo6qCogRqrRprJF6dFTMKikaLVlHI/2MRQqNFuLXc+tBTPHH3f4iJiQHg8+9m46jfBZO+dKhQSV4madvW8+SiQ7z26WwS60ZxxSVdGX/jdWe0qpOiKEz4v+sZf4OKy+XCbDb/o5p1decXMghL1ZMMwlKt9eUP8zGlXo9VW9rkowrwq4KjGZs4fvz4eQ3CWr2eQ2vmoYZtAdVPiMVCcuf+iIJ0og0eSrxuFJ2B3A0/YU0diKLRYvQWcTimHnc88Qpf/e9ZNBoN+49kYgotnUDDVZDDrjWL0DW/BEsDHxqThb0H1jF9ZRqFjvf4711nPhOVRqPBYim/ulFt45M1YamakkFYqrUKix2oOQcw/HnfU4PAryhk7dmM1Wo9J8fYtXsP7381myKXj3p1bEy4YTR6vZ7J73xNZPdRFPu1aPQmvEW57Fr4FZe1jqf/HWO5750fKQlNRBuRACj4i3KITYhDo9Nz3N6YX5ev5OKe3WneIIH1ezMxh8dw5I/lGJr3QeiMCK8bjVaHpXEXcjbNYeVugdPpxGw2n5Pzqm2EDMJSNSWDsFRrhZsVstN+x2sJRbFG4FUVXIf+wOt2MeaxN7hreB8G9O191vtfsXotT3zyC/omPdCE6zjoLGbdg8/Ru11j3PU7E2ePJCc3j2JnITqjHp3FyNMPTCAiIgJ3SQkTJr+CpvUANKoHc2QcGXnF6PV6tCGRHErPAODqKwYx557JFJv64PX5UXRGVK8LnU4faD5WNTrcBju5ubnEx8cDsHLN73w5ZxFuv6BFYiz/uf7qf0WNV5Jqmhr18/DXX39l8ODB1K1bF0VRmDVr1im3Wbp0Ke3atcNoNNKoUSOmT59+3sspVQ/JJgcNmjbBnL6e/HVzKNn8M+SkUTelB/qW/Xh7xiI8Hs8Z7VMIwTvTP+fKCY9y/eNvsudwJvlH9gKgN4fgbtSbOQt+w6Fq2X84nVyHB58KZqOeiHoNKSwsXWhh0e9bSL3mfvTO45hCwlA0GhSzjezcfETWbnp1KZ3Mw2w288GUSXTR7CHEcQSN4zha4cdg+aspXVF9WL15gSUBv/r+Rx778jcO1OnKsbge/HQ8kpsffOqMz1WSpPOvRgVhh8NBSkoKb7755mnlP3DgAJdffjm9e/dm06ZNTJw4kZtuuolffvnlPJdUqg4u7dObDpmzKdi3EU/uEUTOISLDbdRpVNoDuMCWzLr1G06xl2DvfvwlM/b68Tbth7HN5ZhSB3Fo3y4c2aWLQujNIbhcLtL3bkeYQtGYQsBkp8CrUJC2NVBTLfCAISSUMKsFZ9pGhPAjVEHx4R10r28mMfGvOZ/DwsJ4/L4JzPnwFRq49mBU/KUrJwmBc9/vhJt1XNE9Bb1ej9/v55vFv2Nu2DEwGYfRHkFGeBtmzZWfe0mqbmpUc/SAAQMYMOD0xzG+8847JCcn89JLLwHQvHlzli9fziuvvEK/fv3OVzGlaqLLwFE8+PEyDKlDsIXG4M3ax+Fti6nfeRAAGtWD5QzvoS5cvxNTk8tKt1dABazNe3J0+1Ka9LoC1efFpSpocg/gsdXBEBGPUP24DmykjvCg15cuFRiqhyJVJbHjpRzdtYmja2ejCoEhZx9qyjC8Xm8gb5l69eJ548H/45UPPmfdzsOUFBWSEhfJxNuupXePbgAcP36cQo2dsrMSQuBwlKCawliz+Q96d+/MC+98zMEcJ0at4JL2zRl7zfBa3TNakqqzGhWEz9SqVavo27dvUFq/fv2YOHFi1RRIuqCG3XwvIX1vRzGYEUKgS26H1hbF5pnv0G7EXUQ4DtKmzenNk7x6zRoee/EtNu9PJ06bSHxyY0JDzOQ4nGgMZrw+PxlZ2eRv+JkQodD44qvI3rWeom1bUYDEpm0xZZXwyHOvUljioY7NyN4dS9E26obDFEVYx6E4ty0l+aIbWOO18dTLb/FkBcslNmnUkLefe6zScoaFhWH2l46DdrpcHM08jl9rxFdSQM72taz+Yxeh3a9FG2bECXy+I42cdz7i3tv+72wusSRJ/1CtDsIZGRmB8ZZlYmJiKCwsrLQnqdvtxu3+a5Wdsnt4Us2T6zcRojOCAEXRIISKPiKe3PxczLt+5ul7bjqtsbWPP/cK01YcwNTiCoxReRzdv4Ocw3to03MAUMjxjIMUpG3F7y4hoU1Xju/fyv4DB0luehHxRiMARYWF7FmxD13LfmitRlz5megLfiFv2Ue4iUSnhaQWF2GPK128YcOOjbjdbox/bn+6jEYjXZvEsfj4YdJLFIQ5FI2q4t27Gk18azJMdbAr2kB+U3QSS7cu5HaXC5PJdEbHqo7k91eqaWp1ED4bU6ZM4YknnqjqYkjngM/rQdFqAQXh96K6SxCqivC6eP3RO4mLO/VqStnZ2Xy2fCeWtsNQUDDawlGS2+LYtYKMY+lE2qwU71lE2xF3YrJHABASVZftC7/hkN9J45ZtcRflcXDBpzTocw1afWlQNYXF4Gzej/Cd84jqMrLccb1aMyUlJWcchAEG9O7KnElPkZnlQqPVI7xOrDGJHNu1AWvKQPIKComKjAjkd+rt5OTkBO5X12Ty+yvVNDWqY9aZio2NJTMzMygtMzMTu91e6XjKSZMmUVBQEHgcPnz4QhRVOh+Kc/DlZ6L6PKjuEjRmG97sA4Q078VNj7/OkSNHT7mLhb+uhPgUlD/nHtYZTJgsIRjr1Cd/6XQGReXQplWLQAAG0BkttLxsNPaja2mev5YB4Vk0aNgQS2Rs0L7N4THotBpKMg+UO26EpoSwsLAzPuWZc+dx3/s/YexxI7Z2A1FDIrB2GYW5/RDs3a+j+OAWHBkHg7ax+gqIioo642NVR/L7K9U0tbom3KVLF3766aegtAULFtClS5dKtzEajWdV+5Cqn3bt2rJu9bdoQyIx1G2KL/8YGoOZuBadIS6K16Z9ydRH7zvpPiLDQsG9KyhNo9Oj12nonNKcO/9zA+MffpZ8IYI6N2n1Bpo2acQLj96Dqqr8um0yvr/t2+9x0b5lczKO72V/lgZLdCJ+jwvf3hXcM7o/S39bwfcLluP1C5KibFitITRKTuDS3r3Q6cp/dVVV5fOfV2JuehkCgXPfemztB4Pfh89Vgt5sw9KwA4UHVkHLtgC4jmxn+EVNMRgMZ3eRqxn5/ZVqmhpVEy4uLmbTpk1s2rQJKB2CtGnTJg4dOgSU/goeM2ZMIP+tt97K/v37eeCBB9i5cydvvfUW33zzDXfffXdVFF+6wHq3b0n7y69Hq7rRm+2ENu9BRIvuhNmtaHR6MotOPW62d89uhB7fgt/rDKQJ1Y9v3yruG1/amenaIX1x71/71+tCkL1pESGKh8VLlrF06VIMxZkcXTcf1ecN5PHt/o2bR1/J2889yviLwmicu5pOYifvPzSOjVu289TszeyP6soaGvPudnh55gpeWHKYUXc8TEZGRrmyZmVlUaC1A6CgYLKYUQBFq8fndoG7iPjoSCL0fsIPLSXmyFLu6JXILWNH/5PLLEnSP1CjasLr1q2jd++/Zji65557ABg7dizTp0/n2LFjgYAMkJyczNy5c7n77rt57bXXqFevHh988IEcnvQv8eAdN5P95IscMOowxiWh8XsJMSqEhdoRqopNXxq4pn01k+MFxXROacbQgf2Capl6vZ4vXn6MMfc8QZa2DqoqMBQe4pnxo2ib0hqAbp06MiEnn0/m/EShV8PBnVuwNGrPor1FzHjmUxR7DGqhH6VkK9kHtlO/biwN4iIZf9Ng6tevD8BVQy7nysED+d+Hn3L9pBfZkVEEGh3mwxkYk9phim2E0+PE6/PjbNKfJ157n7enPBp0vna7HaO/JPDcoFHQ6LX4fX7MRi0J8TFoNBqimyby0dRHLsA7IEnSqShCCLne9UkUFhYSGhpKQUEBdru9qosjnYXPvvqWNxfvJqx5t0CAde1ewdhuDfhsySZo2AO9OYSSrIPUL97Bu88/VmHz7JEjR/B6vSQlJaEoCi6XC4DfN27m7a/mku0zcmzXJjQt+6EtziTba0QTkYDGYAGh4j1+EO2htXRsmsDnr0zm93UbUBSFjhe1R6/X897HXzJtUz7ZhOHVGNAYTBRv/xV9RD1s8Q3B50F3aC0NugzEv30+c96cXK539+MvvM5KVzym8BgKMw6yf9tGLA3b0zAhDo1Gi3vvKh4d1ZOeXTuf9+teHZR9fxMmfsOhV0ZUdXEkqZwaVROWpLNx3agRhIYt5OtfllDoUQgzKtww8lKmz5yPrmX/wL1cS3QihzU6vvr+B8aMGl5uP9HR0Xg8HnJycnj0pXdIK/Dj9njYv3sHjfuNw2SPwHEkC4M1hvytKzG2urR0xiwAVcUQ25D8nb+yN9vB5Tc/iLduGxQhCP14NveNGcKc5espDLsIrd6Kt8RRWqYmXSje/AvmmCREfib2sDoAKFT82/nRe8bzwv/eZ+3OTVhUDe3C3RhLNiDS7Nj1MHbUpf+aACxJNYEMwlKtl5+fT5PkBN5/9qFAr3iPx8PzXyxA/7eZosx14lm/YyVjTkhzOp1MfulNtqYX4UXLga0bSOh/M9a6oWRnZmGM6siuX2fTsu8oFAQarR6PsxiToXwPfI3JxpH9u4m+5n7sRiN+r5sde7Zy3RPvgsmOY/8vWOu3QRMaDX4/Go0WhED1e/CnrSO6/7V4ncW0jrNXOMZZp9Px34m3IYRACHFGawxLknThySAs1WiqquJ0OrFYLOWmXvT5fIy78yFWHSxCtcVgKDjMNb1TmPzARHQ6XekczIBAkH08h2KnB9XnI2vnBjIzMwMTvfz3udfYbm6NoXkozsO78TawcDSnkASdAbejiLxtq/H7FTYvnom/MBPfke0oiga1OA+tvWzoj4LfVYzqcmBNaInRWNrcvXfFXERSJ4wGE1pvCVpdCEVbFhFqj8LvceDKPoT36A4cuQdI7twf94H1NDQWM/nxk/fqVhRFTkUpSTWADMJSjSSE4P1Pv2bemm2UYMSm8XD1pZ0ZPmRgIM8t9z3CwkM+/F4FkZ8LqpF3F22nSdIMRo+8io5N4lh0/Ci5bgWnYkJjtOPYt5SYtoO45bGX+PLVJ3C5XOzI8WNoGgqAqzAPH1qED/Zn5HL8txno6ySiGK1o4hpjNFkpWPEFIXXiKVj+KeY2/TBEJuDLP4b74GYMzmzqNxkIKPg9Llx+Bas1DL/XRZjNSnZ+EeZGncjd9DOgoDXbCU1sRucEKzcPbUWzZk0DnbkkSar5ZBCWaqQvZszm2x0OTM36oQdcwLtLfiemTgQ9/rznOXf5Bjz2eqA1oKAgVIHTXcKUtz5mUP9LOZSeyaF1S8nz6VGMVgx+J/XbdMYWm4TDYOTb2XPp2bkDXn0IeiBj+xoOrF+C3xpNSJto8tfOwRDbCHPDjqhuB449qzDXT8XYuCt9QjPpO+4/fPjNXI5l/4FWpyc5ycZLD7/LPS9/is+XRElRIYq+dKpIrc+NorGUNh/7fLizDhLeaww2q5l6cTE4FIWvfvmVAU4PD738EUVeqGNW+L/hA+jeuWOVvQ+SJP0zMghLNdLPKzdjSr4kKM2Y3IEv5iwKBGGHw4m1WXMskbFohR+fxkDR3nWk79/HXY89x4YiG7bG7cEYi8Zgxrl7JfbohNJ9hceyO20d1464Arsnm7RNv5KvmrB2HU3JgU04ti7DUKc+5gbtUXRGNKYQ7B2GUrR2FmEpfdi4dQPjRscz++M38Xg8aDQaIiIicLvdGJw5/D5nGtrkjhQd24+2bnPio8LJznegtYYjsjYR2qIHtqh64CzAaDCiKAqbs1X2zttMaIvSRUmOA09+Op+XbDZat2x+Qa+/JEnnhuy1IdVILn/5NEVRcPlPmLXKYCIi3I4dByY8hItCwus3pcTtY+aKbRxXrWT5reRt+w1X5gHMzbqTvnU1AM7MA3RMaYlWq+W6/l05fmA7xvhmAIQ074Encw/Gus1Q3Q5QFMpuv2rt0RTuXEUW4fz3+81cPekVvp79MxERpdNaPvv6e5Q0G0DrAdcSpXMSGxuHY8sCjmceQ9WZcBzeRsHm+SjRDXAU5FDidpOXlwdAvleDJjwh6JwNTXrw4Tc/nOvLK0nSBSJrwlKNFBOi46DqR9H8tSKQz1VCUtRfY7lDDAo+dPgMoShaLS6fF40/H7MOLJ1Hog8JA0AfkUDxpp8xxCTh87pwF+YSX7yLyy+7FoBLenSlwQ9ryXEXoHpcKEYrWlsd0BvA60Z1FYPqB0WDr/g4/pzDCFsdcjSh5FmieGPhZto0XUn3bl3YdCAbQ/PSKSNtSa1xhNTDEuvk6C/voOqt6CLi8KPBk74bS9PugCCzwIlGW4AvYzfWTn9NVgOgaLQUudXze7ElSTpvZE1YqpHuu/k62DYPT0kRAK7CHMz7FnHn/10byKM6CxCmUHxeD+6SYlRVxasxovc5wO+lbKitotVibtAex7rZNAnxMDDyOO8+9whabWmAt9vtWFQHXqHFHFYH4SompE1fijf+jMZsQ3U7UIwW0GjB7yOs7y34vW5UnQU/WnwJ7bnziZcA8KilBxVCJeN4HpjDMIXHobNFEtbjWgwxjQjrOgrhdeM8sB7h9+FH4dCKmTSLsQb96ADwuZ3Eh1vO9+WWJOk8kTVhqUZKTkrkk+fu56MvZ3D0eAGN68Uw5q5HCQkJ+SuTopCz4htCLroCrTkMT+FxilZ/iUFnQKPRopYUoDGHgKIFr5uOCVZmffR6uaE9Go0Gg7cId1Ya5sQ2mG3huFEpzNxH4eL3MSZ3wJuxF19eOpbGnRCeEkJS+5G18ENM9Vujep3kZeWxbdt26ocaOOL3UeJ04dea0AKOg1swxTdDo9PjzUvH3KAD+tAY3Jn7cGz+GaPRSOO4GCaNG8CzXyxA3/RiNDo9PlcJuj2LmfD0PRf24kuSdM7IICzVWBEREdx3+82Vvl7s0xDeqjclu5aXTlyhM2BrO4jsRR9i8JRgDquD3+tE9fsIObaOT758tdKxtUkNGnLsuIGcP35CVTT4PB5i+t5A8R/z0RQdI75Nd6IS+rE37TAevRWfqqKLaYilRU+ExwX1W/PUa+8x9dH7mPDUG7jCmiOw4Tq8FXFwHcIWi+osQmu2o7qK0JltmOIaYYqIJdSkw164la6dO/J2vXje/eJ78ku81IsIYfyz91GnTp1/dB0LCgp47f1P2ZuZj0EDV/TpzOX9+v6jfUqSdHpkEJZqLWGw41P0CI0e4fcitAbcRXlozHac+37HpdEiXMWE6v38Z3gfZs6dT+tmjWnXNqVcMG7XNIltCGKatifreA75HlC0BvTWMDx+wXHVjKGwiPiYKPYcPIo39yjG2MaormI0CAy2MI6mK3z67Ww6t0jCYvDw3nefo41Iwm+LRphC8eQewZd/jKKN8zAltkJ15BMSk4jNaKJb0zgMBgMNGyTzwiP3nrNr5HK5uOmhZylK7oO+vhWAVxZuISM7l/+7buQ5O44kSRWTQViqtVS3g5LdK7G2vhSt0Yyv4DgFa2cQ2nk4DRo0oLCoGK3qRt04i7n7vCgRBtT1K2jw5UzeeGoSJpMpsK9rrhrK4vuf4ChQVAJoDeRv+Amfx4MzfR9ulxN3k87EREdD9j6cBzaDokGj1WFr2hmNt4i0Qi9L3MnoDXp823+nZ2oTftrrxNSqL3qvG4/LiS4snsL1P6CWJKCxhlGyexXRiVYeePaN83KNvpk1h7yY9pjN1kCauX5rflw9nzFXX4Ferz8vx5UkqZTsmCXVWn5PCZaWF4PXhb+kADQKoZ2vwnVwMxHh4STVT8BgDSXX1gBdTCNM9kgsSSkcDO/Aq+9ND9qXwWDg/amPM7aFFt/6b2Hfcrwlhah6K3UG30NI60tw7v2d3TNewbBvKVp7FLZ2l2NpdQmFu9eQvWU5xvimmGx2dEYLpma9WLxpP816DiLWZiA21IzZaMSVto6wbtcQ1uQiwpPbENZ+ILkhyWzZtv2Mz18IwYrVa3h4yis89/q7HDt2rFyebfsOYY6sWy69RBdKbm7uGR9TkqQzI4OwVGvp7FFoNDq09jpoQyLQ2aNRtHr8rmL8fh8AJW4vWksYPpcDv9dNcdYhFK2OPw5kBvajqiofff41N//3Oeat3ka4USG0UXt8JYXY2w5A0RrQ2aII7XQVIW0HkqOPIqLzlRgi4tGGRGDrOBwlPB5X/nF2Lvwa1ecFwGsKw+F0Y7WYAQU/oLNFoTWa0ehK55ZWtUb8Uc34Zs6CMzp3IQT/feYlHv1uA5st7VnmSWbsE+8yf/GvQfka1Y/DVZBdbnuTt5Dw8PAzOqYkSWdONkdLtZffh8Zs++u5AhpLKN7sNNL376Feo2b43U6Kdq9m4+5VuEuKMMckYwqLgcMbmPj48zRPrsfRjGxWlkRhTuyD3++jxF+XA1+/gC6pA4jS4Ual44RB9XowNemK11GAEALFYEWj02NObouqKHhjG7Fn5U807TkUrcHM4W2/Y67fBtXrQvULQKAIFUX58/exUNFoz/xrun7DJtbkmbEmtQZAZ7Sga9mXd7//hb4Xdw+srnTtVUOZe/dkPJb+aPWlgd+dsY/LUxpUuKayJEnnlqwJS7WW8HnwZKUByp9jghWce1aj6Ewc2rSMHTt3cmThNPwGK/oWlxDe91aELZaCI7tROo7m560ZTP3uV97+aS1Zbj05ubls/nUex3asx9p2EMLjoGD9jwi/p3TWLI0O4XGCqiLQgEaH8LlRnUUI1Y/q86KYQsnNL+DosXSc+dmYPAW403ehGK148jNxHdqC3mgsLT8Cnd+NJnMnowZfdkbn/uOi37DUb1UuPV8fycGDBwPPLRYL7z55Ly2L1mPeu5iwtEVc3yaEO28eU27bmk5VK16DWZKqkqwJS7WWKgSeY3twHdyExmjF7yxCFxaL6nGgD43Bse4HDHWSsKQORGu0gAIhLXrhskXizdpHUdpujI06o7Vpyffrydq5Hb8frCn9AAVdVBKqx0Xx1sXYUvujCpWS/eswRNbDVL81wu9D0epQfR6ce1Zj7zgcX0kBvuJ8Dv38Pm0G34Q1Kp7CYwfISVuHUahoTQrO1V+hrZeC3mylnpLD8K7NaN2q5Rmde1R4KN7jRRj+nBWsjNZbgt1uD0qLiYlh6uP3/8OrXf0Ve3zYTbKjmVS9yCAs1Vr+4jwUrQ5z0+74C7MxhcVRvGEOwutBbwvHUxQGBjMafWnNU0FBINBHJZG38B10kfVxpe9GMZox1m+DJ2s/IW0HgKJB9bpQtHp09hCKNuynYOXXqI48DGHRGONbULhuNqb6bUCouA5tQdEa0ZpD8OQexZ25D8JjKVT1WITAHpeMPS4Zv9eDNmcf9ZOSKSxKJ8Fg4rlH7iU+Pv6Mz/3a4UOY+9BLiJb9AsOtvE4HjeyCyMjIc3mZa4xCp1cGYanaqXHN0W+++SZJSUmYTCY6derE2rVrK807ffr0wOLmZY8Th51ItZs+LBZv7lFce9cifB4cWxaiWOwoBjPOY/vQhMUh/D5QFIQQCErvyaoeF7qIeoR2GUFI6gD8xXm403eV3uNVNCAEqqt04QbVXYJGZ0DjcxN/+R3o7VGYE1pibdoN1VmEvzgHa8s+aCw2XAc3UbxhLqb6KWhDY8krdHDo0KFAeXcu/hZf836I1oMwXTSC9PieTH71PYQ482bU8PBwnvjPVVj3/IJzz0q8O5fQuHA9z0+68xxe4ZrF4a5g1Q9JqmI1qib89ddfc8899/DOO+/QqVMnXn31Vfr168euXbuIjo6ucBu73c6uXbsCzyubEUmqfYTXSUjbAWgMFlB9mOo2xZ11ANf+9dibdEZvj+TYgvfxOQsRLgcA3uw0PNkHQVEo/H02WksY+vA4Cn+fhep1YYhrjD40Go3RisZoRqgqis6IJy+dnHVzS+8HO3JRAFO95qW9sT0l+PIzMddPAb0RnzMfjYCs375AawqheFcUEXWTUfUW6sTGs/9QOj60gODgQS+Ll/7KJb17nfH5d2zflq/apZKVlYXZbC7XDP1v4/LKICxVPzUqCL/88svcfPPN3HDDDQC88847zJ07l48++oiHHnqowm0URSE2NvZCFlOqJjR6M4pGi6LVouiNCJ8XXWgMUNoq4ncWYUlKJX/RB5gS26B63fgdeRjrtcRzeAvWdpejNZcGLlNiCnmLP8R96A/UqGTMjS7CX5iNY+dyzI074i/Ow4IHnd9F3vJPiOrQH5ei4PV6cGxfhi31MjzZh8HrIrTr1ehCIlAUDSV7VlNScISC32YS1nUkaUczMNgi0P45RMkX05THXnmXPhf3PKsfkIqiEBMTcy4va43l8cvVpqTqp8Y0R3s8HtavX0/fvn/NaavRaOjbty+rVq2qdLvi4mISExNJSEhg6NChbNu27UIUV6oOtDo0phAUrR40WhS9Aa3JiqLVkfv7D+Rv+xXnkR2E9rgec1Jb7G0HEtZ5JCW7VmBrP7T0HrHPDaoPRaNFH90AYbLhK8zCsXk+7swDhLQdiM4ejSEqkcLD29AZDHQcM4mI3B0MDT1Mw2OLCNH6ELuX4Tm4ifBeY9AYQ0oDqgLo9AhLHWy9xuHMzUSxRuJ2FKP6S8cS+48fxFenEdvOYrIOKZjHJ4OwVP3UmCB8/Phx/H5/uV/1MTExZGRkVLhN06ZN+eijj5g9ezafffYZqqrStWtXjhw5Uulx3G43hYWFQQ+pZlJdRQi/H4QoHccrBL6iHPD7sHW6Co01HI01HEWvRzFaQdGg6PRojRYUkxWN0YLwuhGqChodOmsYwpGHRmfA0rQrpoSWf9a09fhLCrE27oqa2Im9y3/E1KA9E24Yxa8/fs0nT93JJe2bo9cCqh+NVguKAqqKL+cIpuR2GEJjwHEcb94xNBYbHqcDT14GeudxTFFJ5BcUVHqeO3ft5u2PPuPnBYvw+XwX7gJXQyf7/rp9sjlaqn5qTBA+G126dGHMmDGkpqbSq1cvvv/+e6Kionj33Xcr3WbKlCmEhoYGHgkJCRewxNK5pOgMFK2bhSfrAKrHievwVkp2rUAx2zCHRWNKbo+l4UV4Du8oDdII0GjRhsfjPrQZ4fehet0IX+k4YNXrIqRVX1S3ozQNgeosRNEZcO78DWtyClqLHY/ejlqQSVhYGAB9enbjs1ef5KYrLiXaogVPCRrhR6/TlDZJ711N/oafsYdF4ju6Fcemnyla/Q0hRQdp2vsqbEUHadc2tdz5CSGY9PSLTHhnLrOyIpi69CgjJ/yX9PTy01P+W5zs++v2ypqwVP3UmCBcp04dtFotmZmZQemZmZmnfc9Xr9fTtm1b9u7dW2meSZMmUVBQEHgcPnz4H5VbqjqqsxhLy94Ivxdn2kY01jAMcU3A58Hr86HoTWhtdfCX5CG8rtKNhIrqKsadsQ/XoT/QWsNRNDoc25ZgiEpCYzASktKPkn3rKN62lKINc8lb/AHWpl0QZbNcme3EaQo5cvQYDz3zMvc/+SJzfv6FULMB99ZfCDdr0KleVFcRrsx9GBNTsbcfhD8+FdzFmOKbEZXQiPg23XDvXs61fdtjsVjKnd/c+QtZ64jA3OAiDFY71tgGuJsO4MnXP7hwF7maOdn31y2bo6VqqMZ0zDIYDLRv355FixYxbNgwoHRO30WLFjFhwoTT2off72fLli0MHDiw0jxGoxHjnzMWSTWb1h6Ja996NEYTWns0niM7UPQmdOFx+L1uFIMF4ffgzT+GtzAbv9eJc8+a0tHCfh+uQ1vwHj8IGh1+dwmmpBRUjwvhcWJp0hkE5C35kNCLhmGMTsKVn43ZbMGcvYMOg7txxztzUeJb4fP7+Wb6CoyeAuLa9OHwqu8Js5rITj9CXI/RYLbiL8qm5MBmVK0R58ovSGqUiH7T1zz/wJ20bt26wvNbsGID5riuQWkanZ6DBT78fj9arfZCXOZq5WTfX9kxS6qOakwQBrjnnnsYO3YsHTp0oGPHjrz66qs4HI5Ab+kxY8YQHx/PlClTAHjyySfp3LkzjRo1Ij8/n6lTp3Lw4EFuuummqjwN6QIRXg+WJp0QXjeqx4kxKQVFq8dXmI2gtKZctP5HEAqe9F14cg7hzUpDr/gJbXkxRccysXUfjaLVUfD7rNI1iT1ONGY7iqLgydyH6nWBVodWq0FnCSEsfyejh/Xif7OXo7QagHCouJ0laOKa40rfjs5opuWVd+LeuZRGDRJxNm7GwY2/kZGVhblJV9DqcFkjyBDFmJr35YE3vuLRm1x07XhRufPTapTS+91/6zWtQZVD8SrglUFYqoZqVBC++uqryc7O5rHHHiMjI4PU1FTmzZsX6Kx16NChwMT0AHl5edx8881kZGQQHh5O+/btWblyJS1atKiqU5AuINXjxJ2+G3PDDmhVP2h0FK79HuH34dy/HsfO5YR2vBKdvQ7C6y5djnD/enyFWRQeO4AxoTVFG+aisdhR3SXkLnyfkJR+aAFv5l58BVmY6rfGX5hF0aHNWHSCUYPas23HDjx1UzEbQ/CrfjQmG0L1o0TUJ/fQLiwRsYi6rcne9AOmJA8Zh/djbT8E0CCEij62Ma7cg7iL8rC16s8rn8yiy0UdygXWEQN788hXq7AktwukeZ0OWsXagr4HUinZO1qqjhRxNtPx/IsUFhYSGhpKQUHBv36yg+pACMH6DZtYveEPWjRJ5uIe3SsNOKaktoSkDMSTsROEwO8sQiDwF+dgadgRVB/29kMAgfD7EX4vis5A8aZ5GOu1oOiPX4i6bDzevHQcO35FpTQI+guyQFEwxDZGY7JhSWqDRvUQl7+dua89yHV3P852fxzm5HaoqorH5weNBnfaZupH2YlqnErJ8aN00acxY2M6eYYYzEkpCCFQPW4U4QevC2v2Nhp2H4xz31o+umc49evXL3eOb370GXPX76fYGo/enU8DQxGvPH4fISEh5/NtqDHKvr8JE7/hv8PacWuvhlVdJEkKUqNqwtK/m9fr5Y6Hn2WPGoU+ugEz5+3lg29/5p1nJ1X4A0kAJXuWo7VGItzFGGMaoI9MwHVke2kz7gn9EhW9EdVTglB9+AqzUDIMqMX5KH4PWqMFoaqEtLgYx87fsLbqgy4sBtf+jXhzDkJyKq6MAxw6vJ1Dhw5hC4tE2XsItV4L0BoQqh/h81C0dTHeLpchhMCcsZn/vvIIy0ffzPEcD2pMQ4TqA40OjTkET2EWRkvpMowav6fCjlkAt994HWNGFLFt23bi4mJJTEw8H5e+Vihx/7uHb0nVkwzCUo3x/qdfsS+kFZbw0tsPenMT8tz1ePb193nukXvLb+DzEtK8Fz5HHqZ6LdBFxKM6C9GFx6E6CyneuhihKChlS9wJgfB7MdZtiqVZd/QxDclZ+S26yHpYmnXHdXgL1taXodHpcWxbgqI3oLPV4fi8/2GObYCl3RBG3f0kA7u3J7n9xaRtnE+RTwMaPZ6co2jNIaRtW0/hloV8/OrTWCwWOrRry6G1+9DqNGiM4bi9XlS/n+I/FpLQ/zr8HhfJFi916tSp9LrYbDY6d+50Pi55rZJX4q3qIkhSOTIISzXG+l2HMNULnkNZZ7Sw92BRhfm1YTH4irLx5Wfg1Ztw7l+PoU59dOF10ddJRGsNp2j9j1ib90RjsuHNPYrn2G5sbQcifF60FjuK3kjJ9qWYElqhup3oQsIo/H02Ian90OhNCFXFlNwOx5aF5O/6HW96OitW+2nWvIh0WwQ6n57CrYsQXjfW5r0wxjbCU5LD1A+/4d3kJK4b2o916bM4svc38twqQmfCm5uOIvwc3boancjiuWmvXYjLW+ulFzirugiSVI4MwlKNoa2kw29lfZCE24G+TiLWpt3RWEIBKNm1Am/ukcBG1uY9Kdm3DnfaJhSTjfA+N5T2pnYWUjbHtL5uc/zFOSg6A96CbHRhMX8uCuEv7ZgsVCxNu1O4/keMDTqxT/g5sHwDflcxLvRorJGEtLwYQ1QSAoFqtLLJH8Wo8Q+w6NtpjO93kFe/nItTE4riLiYiNpa4ZgPRW2yY0zdiNpvP/cX8F9qf7ajqIkhSOTIISzXGZV1SeGftXsyxjQJpnsLjdG8YV2F+rdFaWoN1FoJQQdFgbtKFwjUz0BgtOA9uxp21H60lDGtqf9TiXBy7V6NBoLqdKAq4sw+iaLQUb85EoKC1RaIx2wNDg0pXUTKget0YYhpiS7kMvyMPTeu+5M57A1ub/jh2/obqcVK06WcUjQ7h92JObMPOXJUvZ8xm9PBhbNq+k7W+ZPQWGzrTX/d/HcfDyczMlPd6/6G6mjwO5lhwef2Y9P++8dNS9SWDsFRjXDXkcnanvctvO5fisMZhdGaTUkfDPbfdXS6vz+dDMZbWVoUqcB3ZjsYYgvC58Rcdp2TPGiIHTsR7PA3nrlW4DmxEGxKGvyALxWglJKU/xRvnEtZ5BFpbJAiBN/co+Su/wlgnEWNso9K1iIWK1mTDuX89KFD0xwI0OhPWZp2xtumHJ2s/qscJfh/2doMAUFU/xRvnonEUMn/NFkYPH0arJo1Yu80TFIABTJ48oqKiLsj1rc3q63LJEPHsyigiJSGsqosjSQEyCEs1hqIo/PeuW8nLy2Pfvn3Uq1ev0ilLH3rmZXxFxync9DManRFv3lF09mh04XVR9CYM0cno7VFotDr04XVx7ltPSMtLQKNBdZeQM/8tDJHxuI5sQ7hL0IXFYazbBEtSKqqvdHlCa/OeoLfgOrQVb9YB9FHJWJt3x5efScHaWehjG6O6HWgMJox1m5WdBIpGi7VFb4oXv4PnzzUFrhoygBmLHsNpi0RrKJ3xyZV9kD5N4irtGS2dvnhNHhpgy9ECGYSlakUGYanGCQ8Pp0OHDpW+fvToUTbngL+kEFPdZngy9mK/6Aq0FjuqsxhDVCK+vGO4Dm9BHxaHzhqOotFSsmc1qrsYVBVDWCyhnUeiMZgRqg/nvnW403eij26AN/cw+qgkHDt+Rfi9aG110NiisDTqiOpx4XfkY0pMoXjrYhStAY3RilC9+J0eFK0e4feiepz4DTaWLfuVH+b+xJDLB/LeMw/wwtvTOXDIgUEHQ1KbcNN1/7mAV7b2MuCjfoSFP47kA7JpX6o+ZBCWapwff57Pj8vW4lUVmtaL5I7/ux6r1Rp4feeevXhD4jDUSUQXGo3r0Ba0Riv4/SgGM8JVhCG+OUXrZmOITARFiy//GLbU/ugi6lG4/kdCUvuX3kcWKoqiwdKkC0Xrf0B1FuE8sAlTYgrmBu1RfV4c25eiOgvJ/+0ztPZoLI074i/MRnUVEdqyN4W7ViI8TtDqS5uwAUWrxxDbgJCUSxj/wsfsPpjOfeNv4vmKhlpVYMfOXXw7Zz56vY7rrhwkV/s6DQ2jQlh/MK+qiyFJQWQQlmqUNz/6jFm7SjDVuxiAdEchWx58mo9ffYp9+w/wwVezycovImPrXhSNBvweFEUDClA2zbLqR/kzuCp6A57jh9DaotBFxAOg0erRh8XiKyrtEa1oSjvylE0uZ6iTiCttM+6sNFRHLvb2QzDENkKoPlwHN+MvysGU1BZdWCyaIxtoeNEl5OUcQBvdAMUYgh+F4k3zCG/bF43OiDahDbNWbmPsiOzTuv/76rvT+WHbcczJ7RE+P4uf+5ib+6Yy8opB5+OS1xKCxjE2Fu3MosDpJdSsr+oCSRJQg5YylCS328289Xsx1ftr7m+D1U5GeEumvvYWE175iu229uQmX4q+RV/U3EOg6EGrQfX5QKsrnZ7SU4Lr6E78XieF62ZTsPxzrC16lU6xhUCoflSvG0VvQHUV4XcWopYU4C/MJiSlH6b6rfAX5eHLz8De8UoMMQ0RXidasx1rsx54cw6j+r1odHp8Hi+u3HT86dspWPIBxX/8QsmWhYS17oXeEgaAYgjBaazDmvUbT3kN0tPTmbslHWvjzmh0erQGE6ZmF/PJ/LU4nXIc7MkkRZbeW9+bVfG4ckmqCrImLFVrqqqycOmv/Lp2IyFGPYWKlb9PUGmJTuKbn36i7mU3k3d4FxqNlvpJjTlsspD32ydoQyLIXzYdc6OO6EIi8Rzdhvv4YTzHj6ALrYPQ6VHdxaVrCmu0GOu1wPHHfMxNu6NoNGgsYTj3rsWUmIKCgvf4ITwFxzDFN8UQnYzwOhGqCqofFAVtSCS+44fRGM24fD4Ib4owxSFKluAXCpbmPfChoBbnYwwJRc3ei61hI+Jiok95PX5e/CtKXKty6UX2RDZt/oMucuasSkWGlHZ4yyx0V3FJJOkvMghL1ZbX62X8pKfZr0/CHNcBZ342+7d8ReM6SVgj/xobXHL8KCUeH1sWfYc2rjnC52Lvpk/wKXrsbS9HFx6L6vXgzTqAY/tSfBl7COt/ByV71qBodZQc2Ihz/3pCWl2CxmAGWx38jjxy572O1h6FPrI+poSWaO118BUfx3VwMxF9/4Pr0FaEz4PWEo6v6HhgAQi/Mx99nfpozKGAgjGyHqg+dLZIijfOwX10B+bkVPw+H7mrv6d+gybU9WfSLjXllNekTlgYvp05GO0RQekaTwlhoXKBkZMx6Usb/krKuqRLUjUgm6OlauuL72ZxIKQllrqNURQFS3g00d1Hsn/lT4E8fq8by+FVuNBjbTsYbZ1ElOgGmNpfARo9+pgGaAwWdNYwzMltCe1xLapGjy40GkNMQ7w5RxE+N77CbBxbF+PYtYKijXPxFWYT0vZytKEx4Pfi3LuWglXfkrf4I0J7Xo+CgqleC0p2LEMg0BitqO4SPFlpCLcTX/4xijbMwdyoIygKfo8TXVgsuoh4rNGJODb/QvHv3+PJ3Ifr0Gaiw0LIyso65TXpf2lvrFl/lNa8/6T6vMR602nWrNl5eR9qC+2fS0HKdYWl6kTWhKVqa+22/ZhjugWlxcXG4LcasO1biFcoJEVYaNKzA0c2Oil2l+BX9KBoSnshG0z4HXloLaU1UoSKWpyHYjAhfB78BZl4846iKArmxBRMye0QrmKEVodr7xp8eUdQHXn4fV50kQnYUvrh3r8erdkOioJGY8ZQtznF6+eg+tz4CrIQbgfGqERK0jYT1ukKFK2utDeYEKWdw1QVU1QCau5BlNgkjDENSUqKZ7fHw82PvsynU/9LaGhopddEURQaR1mZPfM1RHgiFh20i7fw/MN3lVtvWAqmKAoWg5YCp1zIQao+ZBCWqi2j7s9pIU+YHFpBIaluNF+8OjmQ9uk3M4iMNOHKd+JyFyP+nKJSdeQjfF78RTmg1SL8PoTHid/toGD1DDw5h9EarSghdfDmHMaUmILGYqdgzUwUBIpWjzG+OeamXXBsnIdGo8EQ1wTn3rVYGndCY7RiiEpE+L04dv5KSNuBGCMT8GTswbnqG/xFOegj4ktnzNLq8GQfRB8SjrukEEd2OvaOw1BdBSBAazDibtCTD7+YwT233VjpNbnrsefYb0+l+ZW9cRfm4C0pwCYOERdX8aQl0p9Eae03xm5kf3ZxFRdGkv4im6OlauvaoZfh2v87AEJVEaqKp/A4HRoFzxU9+LJL0B3bgqr6EUJFaw1DZ4vA7yzCsfNXFKMFrTUCFC3FfyzEXL8N1taXoA+JAL0RBR+e7IPkzn8rEIBD2l2ONXUAOnsURWtnYm7UkYIVX+FM24jz8FZyF32IY9cKPMcP49i+lPCe49CarKgeJ4aoREI7Dyd/1beU7F6F68h2ijbMIX/ZJyhGM6rbhWIOwe8sAqOVw+kZABisoRzMzKn0euzcuYvd7lAMtggURcEUWgdbXEN2OkPYvXvP+XsjagNReh+4cbSNX3cfx+OTTdJS9SBrwlK11b5tKqO2bmfqhy/j0IWiCD91TR7+M+31oHxhYWHcNKATtz0/HV2jzqgeJyV712Cok4C1WQ8c25Yi/F40Jiv2rldTvOln9KExhKT2p3D9HCyNOmOs2xTh91G0/ge0kQkomtJmZH9JIfh8OLYvQ/i9+IvzsLcdiGIKwZd3DMfWhejCYlFdhSiKBuH34PcrpdNcxjbE73bgzT+GMbohWmcuEUX78HjyKCnKxGQLQ1E0lLiKcDqdaIWP+DqVN0Vv370XQuuWSxeh8WzftZcmTRqf8/eg1vCVNkFf0jyGhTsyeXDGHzwxtCV2kxwvLFUtGYSlaksIwdLft9Jg0G34FQ06rQ7h8zBu4iOMGNSXNs2a0Da1DT6fj0t7daPOhz9ydOsSMFjRR9bFV5CFNiSCkJTLEF43GlNI6b1ZFITXhfC6MdVr8ee4YwGKAVu7QRT/sQCEH+e+9ejKZsBy5KN6XTh3rUQxWkrnndYZ0NkiKVj9HfZ2g0on9VA0CJ8HX0EmGoOV0I5DSk9GVfGF1kG4MmjafQhH/1hBxu7V6Os2B0XLgcPphKYt5aaPX6r0erRp0Qxl0WyIDG4J0OYfpnWLK87fG1GL1I+wcHOPBnyy6iBLd2VxcdNoujSIpEvDSBIi5Bzd0oVX44Lwm2++ydSpU8nIyCAlJYU33niDjh07Vpr/22+/5dFHHyUtLY3GjRvz/PPPM3DgwAtYYulsbdz8B+n6eliNZnSU9gLetXQmXmscOX94yJ8zA+/BR0hulkJB1mHys3LQh8YgFB0hLS7GsW0ZqqsYrSUU9c/pIr05h9GabAhVxXV4C9YWFwc6TimKglD96KOTcGfux1+ci6VJV4TqQ3hdaHRGQlIHULJ7JTpbHdzHduMvyEJjtFK06WdCWvdFY7Si6A040zbgTt+DYV9drA3aotXpEBoFjeN46ckJFdVZRMnO30AohBg1WOo1YdXvG7i8X98Kr0ejRg1pZXezLS8TU3gMAK68DFqFemjYsMEFeEdqh4ubRtM6PpR52zLYfDifWRuPIoAom5F64WYSwi3Eh5uJDzMTH26m3p//Wgw17s+lVAMoomwuvhrg66+/ZsyYMbzzzjt06tSJV199lW+//ZZdu3YRHV1+ooOVK1fSs2dPpkyZwqBBg/jiiy94/vnn2bBhA61alZ/woCKFhYWEhoZSUFCA3S7HYZ5ICMHa39ez//BRunZIDVrzduXKlfzvo8/YvWsnTqcLnd7IgD49eWTS/cz6cS6ffj2DnOPZpB05ht9VginEhtlsJj46gh0791LoKEEAtpR+aDSAwYbXkUNIy75ozCH4CrPRGMyoHicFK7/GEJOMO/sQriM70YXF4C/IRBdRD2/aZhSTAYMlDHduNvYeV4NGh1pSgPvYXiIvuxWdNfzP+SzBX1KAK20TGlsd1KJsrM17orocCKGiaHVorWEUrPoOX/FxDHXqE5I6AOEqLi3HmhloDBaEzw06A6oQ+PPSEU4HWosdo15Lzw4t+eNYCRk7N6Krk0BIcgoadxFW3f+3d9/xUZT5A8c/M9t7eiMdCDUEpHcQFNBTUc5e0PPUU9CznWLvx+l5Pz3LnXrnid6JWM6Kng0BG9I7BEhICKT3TbbvzPz+WAhGioDAJvC8X6+8kn12ZvY7s5n97jPzFAmTzQUVa7n12suYfsnFSJLE0uUrKN1VyeihAwmHFb5btpK1GzZS2arSWF9LksPMnTdeS48eeT/7fjU1NbFg8bc4HXbGjR6JwXDkl2I3bNzE+sJt9O/Tk149e6BpGitWrqZox06GD+xPdnbHmCRhz/l7x63XMfXqO8G07zncGghTWOmmpM5DbWuA+tYgda0B6loDqD/6dHSY9cRajcRYDcRZjcTaIn/HWo3EWg3EWPc+3vPbatSJVuvCQXWqJDx06FAGDx7Mc889B0RGU8rIyODGG29k1qxZ+yx/4YUX4vF4mD9/flvZsGHD6N+/Py+88MIhvaZIwvvX1NTEjPueoNKchexIQKrbztA0PQ/efiOnTpvOZr8LQ2Y/WjcuQtYbMOcORGmqwbPxKyRZRrK4sOYNx1++Gc3XgrXnaGSTFe+mxSi+FgxxXdCUIGooiDX3FNCbCJStQ7Y6seScEpmIIeBFMlho+vZ1DPEZkdqlvxVzRl/Q6an+8M9YEzOwFUzGGJ+Bf+cGfJsW4LV2J2XE6QSrivBtX0HsxGsh5EfSGUHW4V72LuHmWmSzlbhTfxvZbsCLZDARbqqmZc0n2PufAWoYf8lqzDmnoHclo7TUE6guxtZnHJ41n+Ov2IQjfyKyNYZA+SZCTdUQ9mPtNQbFXUeoKdIgS/E2Y0jIRG+LJVi1DUdaV0wVa+jdoxvepHywxLLj2/9ijM8gre9QgvW7qFq1gLTBk9DHpCLVl9I/XuXxe29Dlvff1vK1N99l7qL1BJN6oYV8OOs389jvr6Rv78PrWxwMBrnpvj+xLRSDFJOO1riTXKkGT1ChypyF7EyCuu0MSdHx6KybDxjP8dIuCZ91NmQc+ohiiqrR6A1S1xKgtjVAoydISyBMqz9MayDy4wmEaQmEafGHUdR9P0oNOgmHSY/DYsBhNuCy6HGaDTjNBhxmPQ6zAadl9+8fPd6zjN2sRyeLJH4iO+zrKz6fj5UrVxIXF0fv3r3bPef3+3nrrbe44oorjlqAewSDQVauXMldd93VVibLMhMnTmTJkiX7XWfJkiXceuut7comTZrE+++/f9TjO9k8/PSLNGafis1ojhTEJvN9xTYu+s31bHcWYM3LI1hTgiUzH3NmP8ItdRjjMzEkZtP8/Txix12FGmjFv2MtMSMvRra60JQQzmHTcK/4EH1MEuGWemIGn4ek1wMSelsMgZrtKJ4m9LIOnT0eLeRHZ3Vi6ToYf/EyXCMuAA0UXzPW2ETiz7wVncUOgCEuFWNSDsrHT2KIvRJjfDqm1Dwav3gBU2oPZIsDLeTDMWAK/pLVyFYn/pKVWLsPQ9IbCTVW4tn8Na6RlyHr9cgWJ8bkXNwrPsLuTMCY0pVg5VZUnxs10Ers+N+gsziR9EaMybl4Ni1C70omVLsDe//JBGt3oLhrCTdVAGDO7Is5M5/A1m+Q8qeyYscqBg3sTeXGH1C7jUWJSSGoM1NTvhNt2HSa9ZAemwyxyayuLeP1t9/j8gun7fNeVVRU8O+vN2PuPYE9dV8lOYeHn3+NN5977LBqan99aQ7bXQVYHfG73/ckFn72H1x9x5LWJaPtf2FpVTHvfPAxF5x71pH8ex0btVsOKwnrZIkEu4kEu4mf+6qiaRq+kEKrP7xPovYGFbzBvb/Lm3wUBVvblQcO0lrbYdYTYzUQYzESZ9tb6461Gom17a6BW/bWwONsRmwmcem8szisd2rr1q2cfvrplJWVIUkSo0aNYt68eaSmRhqKNDc3c9VVVx2TJFxXV4eiKCQnJ7crT05OprCwcL/rVFVV7Xf5qqqqA75OIBAgENg7tqzb7f4FUZ+4ttV40MWb25XZ0rrz7WevYzr1TEAiUFWEo2BSpOYryyDrkA1GDPHpIMl4Nn6FpesQJFOkQYwW9CGb7Uh6E/q4DNSgH0mnQ1MVQEIDzJn5eDctRu8cCZJEqLESnSuZwK6NmHMHRgKRJFDC6OOz2hLwHqbUbhgSstr6Husd8cgmO6aMPhgTMpH0RnzFK7B0HYhschCu245nzSeoyISaazHnDkTviEVpbYi81O75gpFkwi11yGY7SmsDxqQcJJ0h0sp6N0u3YXg2LIisBxgTs2jZtRFTZgHhhnICZeux5g1HCSvIFgdhFVRVoal6F6a+k9HQaG5txRcMYzXb8fub9247MZNvVi/m8gv3fa/mvf8Juqz28y9Lsky9MZmSkhJycw/9fvLakmpM2e2/fAclAwFV167MmtKVhcu/Pu5J+KDnr7v8mL1uZCAQPVajnp8fAXxfYUXFG1Tw7E7Kvj1/B5S2ZN7iD9MaCFHT4o+U+SNl4f3UwLPjrYzJS2R090SGd43HLpJyh3VY78ydd95J3759WbFiBU1NTdx8882MHDmSRYsWkZmZeaxiPK5mz57NQw89FO0wOjwJjZ+e+nvvbERaILf/a+9vNDWSUiVd2yAK7bajhJB0urbELWkyaAqSwYTqayHUUE6ofheKtwlfyUpiJ/wO37Ylu1s+twtov7FrmgaSHJlwAQ3QkE1WZIN590Afu9fVNEwJWTi65BEIhvFsXx1JuLtH39JCASSDCdDQQn68W77DXjCFUHNV21zE/LiSqal7R8/aWxjZliS11Uglad/juPe4S7u/juxLOsBlS1mn272tnx4I9bDvV+7v7pXE/rcRjXuhBz1/Q/7jG8xh0OtknBYZ52FMsahpGoGwSrXbT2m9l9J6D6V1HnbUeyOPl+zgtSU7SI+18O2dpx7D6IVf4rCS8Pfff8+XX35JQkICCQkJfPTRR9xwww2MHj2ahQsXtptY/WhLSEhAp9NRXV3drry6upqUlP2PFpSSknJYywPcdddd7S5hu91uMWH6fvRMdbHO58Fg2fue+8q3MGFgHovLN6FL74MptQf+0jVYsvvvHmwjjBr0E2ooRw0FsPWdSMuy/2KIz0Bni0EyWlH9rSgt9YSqS1B8LbsTsh5N1SAUwF+6BnPXIXi3fo+t/xRsZgehyi2YuvTBt+17HAN/FUl2Oj2huhLCnmb0tr19b/27NhOu2wGAhka4pQHJaMW7cRGG0ZchSRKmLr3xbFqMtfsQzHYnmgZhv4dA1TZMej1ayI9ksqOpYZTmZgK7NuEvXU3MmOlIegN6RwKtxcvRJ+cgK2EkvREA79bvMSTlEK4rQwOCVUXoY1Lx71iLpNNj7TMexetGpzeiepsx6GVkWSYuLZvayq0Y4tOJibETMJsIe5qw/6iPq69qO+MH7b+x4cVTz+CTh16CXuPbyjRVJTFcS3Z29mG974Pz0vmktgZTzN76nkELYpLaDwXpq9jKpFEDDmvbR8NBz1/jsft8OhKapuEPqW2XpPfUfPfUhj0/upTt2f3bF1TanvMElX3uQ8dZDXRNspMeY6ZLrJUuMRYKMg7c91yIvsNqmOV0Olm6dCm9evVqVz5z5kw++OAD5s6dy7hx41CUYzNLydChQxkyZAjPPvssEGmYlZmZycyZMw/YMMvr9fLRRx+1lY0YMYJ+/fqJhlm/UEtLCzc98ARlJKLaEjA27WB0rou7brqOKRf/ltX1OvQZ+XgKv42M7pQ7kHBTNb7Cb0CnRzZasHQbRqCuDLWlFmvecGSzHe/mb1BDASxZBYRb6lD9LZjSeyPpTfiKlxNubcAYl4YhuRv+HWsxJuXu7pNrbms4Zc7sh6Yp1H31MpbYFGx9TsWQmIV/xzr8277DZ8omZeQkAhVb8Jdvxt5jFMHNn6Nak7D2GoMWCtCyej7muFQs3YYR9rXgKV6FKaM3gZ3r0VljsXQfhuKuxVv4LZokY+k6mODO9chWJ7LRgr9iK5IkYes9Fp0tlkD55shMS6EA1h4jCTdXo7Q2RIbS9LdgTM5FMlgIN+zElpiBrb6Qfr3yaHDkolriqFz6IYaYVBJ7DUFrqqB2/Tck9huL5ErB0FTGsHQLD91x0wFrn2+9P585ny3DF9cdQn5i3UX86fZryevW9bDe91AoxB8efpKNLUbCjlR0zeX0svloDYTa/hcMTTsYleXgvttmRL1lcLuGWSP6Qv+Lj9q299wHdvvCeHYnyD0J1BtQ8IYiSXVPkvWFlL1JdXf5fq4kA7sbdO1urOW0GHBZDDgtkcZabQ23LJHnY63Gti5VZoNu/xsUOqzDSsJDhgzhxhtv5PLLL9/nuZkzZ/L666/jdruPWRJ+8803mT59Oi+++CJDhgzh6aef5q233qKwsJDk5GSuuOIKunTpwuzZs4FIzX3s2LH86U9/4swzz2TevHn88Y9/FF2UjqLNmwspKdvFoAH92nUT27hxI7P/8gwLl60mbHAghQP0757JO6+9xB33P8brn3yFz+PFmJSLpdsQvEU/ENhViDGlG7JOxjXkPFS/h1BjRWQShYCXwK5NSHoDqGrkMrDehBrworfHYC+Ygnfrdxhi05DNDrSwH/+uQkzJXWn437MY7E5CrQ0kX/Inmpe9h9LSgCrrUZprkIxG9MFWQj4f6A0g6yEcwiAHCUk2QAEV0OmQzFaMapCY2HgaGiP3ha1mE3HxCWhKEH8gRF7XXJJSuzCgX19+WLqUNRs307N7Lldcegn98/sy/7Mv+eyLBTjtVi6/9BKCAT87K6rolp3Bxi3bKejbk7N/dSYQ6Qq0s7ySIQP7oygKK9esJzcrg549e7Bly1aKS8sY0K9PW7uMg/F4PHz/wzIcdjtDBg/8RS2XS0tL2bSliD49u7d1TSss3ML2HTsZ2D9/n7YY0dIuCZ9zHnQZeNDlVU2jvjVIozeI2xfC7Q/j9of2/u0L0RqI/G72hfZ7PxbAatThMOvbWkG7dreO3tsSOlLutBjalnP9KLma9HLUv8AIx8dhJeHZs2fzzTff8Mknn+z3+RtuuIEXXngBVT1247I+99xzbYN19O/fn2eeeYahQyMtHseNG0d2djZz5sxpW/7tt9/m3nvvbRus44knnjiswTpEEj4y9fX1XHrXX9D3ndL2YRJ012Er+hJ36imYU7pTuK0Id2UpgfJC1IAHVQlj7z0Gb+F36GNTsfUaC2qIUN1OAtXFmNJ6EHbXRmqrvmYkoxX3krcxZRegdyQQaqjA2n0oqAqaphFurqZ19SfYTzkTvTOJUO0OPJu/xl+5BXvfCRD0YutzKkprA8F18zll0FDeeOxG4uMjLX/Ly8v5zUN/R84by+av3kbu0g99XCp2bw1dw6W8+NidxMXFHewwCFHWLglfcw8YIo0AVVWjpN5DeaOPymY/lc2R31XNfoI/mupQAlwWA/H2SMvkBLuJOJuReLuJeFukLN5mbFdLtZv06HViWH7h0HSqfsLRIJLwkXnqhX/xaVMKRlvkmIXDYVpaPexY+AZ9p1yB3mwlEAhQWlmP3++jadV8DK5kHP2ngKYRqt+Fd/ty1JY6wl438affQMvqT3AMmookR0a2Utx1yBYHzT+8jSE+A2uPUchGc6Rfb9CHFvITrNmOZ9NiZIsrct+11xiav3sDc1pPZKsLxduE0RmPPb0ntqbtPHLpWKb+agoA9z3+V1bq+1C2ciGBlHz0thgAJH8z2Snx5HvXcMEZpyJJEgUF/dDpxKXAjqZdEr7hMUrqPHy9tZalJfU0eiP3sZOdJnIT7HRNspGbYCcn0Uaay0K8PdL1RyRU4VgS7daFY6KmvgmDIzKhQE1dPU3eAJreTMCaxLpPXqPn+HOxxiZjMUgoWNDpjGjhYGTqQgmMCRnorXZaNyxEMphRQ35kkxVpd6KTdDLIMpLOAGoYSZZRA63IRjOapqH6PaCpKK2NuEZejCEmFcXXSuu6z9CCftAZQAKdM5FAzXbCTdUoujApiXv72Ta0BtAlmfF6WjHtTsAAqibhD6u8tXAlPzQ7AI24l97k/usvZUBB/vE8zMJh+Kqwhn98s50Eu5FzB6RzRn4KvVKdok+tEFXiK55wTIweUoC3shif30eTN4RsdqLTG5ECbmzDzmf70i8ByEhLwaVXCFZsRvV78JetQ1XCkWEpgWD5RsKeZiRZj6aE2nWDknQGFG8zstlBuLmOlpUfoniaUNy1kW4/ShjV14LBmQyais5kxdZrLJqmYOs1GktWf2zdhxE7/mokezyeVjdGk7FtH7KTYwh63Pz01pxO0qisbQB7Is6sPjiz+hLqfSYP/m0uoZCYML4jasTBy99u55IhGSy9eyL3n9WbQdlxIgELUSeSsHBMTJ4wnu5KKZVFm5BMNtRwEM+mRWT2yEcf8hE22Ah63PgbKkmtXkK/EROIyelLoHQ17m//g3v5BzR++zqxvUYRaizHV7ISY1pPfNuWRGq6XjeSwUTr+i8Ju2sxJGSgdybT/N1cAlXb8G1fQfN3b2DJGRC5NB0OoQY8RPoE25AMJmRrDJoSRvG6seYNJy67N8/8+722fbj28guxbF+EMy6JQOUWNDRUfwtWkwF/SyPO2L33gyVJojm2O9/9sDQKR1v4Oeu0SCvwWWf0EsNACh2K+BooHBOyLPP8H+/l4mt/z5qN29HpDXTrOxhbQhdUVaVil0av1lWc0rcnJbZuLJV7E28w0pSXT3N1OY3lxdi6DSbGoOJpdeMrXokxpRnV78ZXvALZZEXxtyIZzEhGO/5dm7AXnIYpuz9aOIi/sQJ0egxJuZGGWmoY2eJAMlojQ10aTJFW0HoDasiHQQZJ06j2qPztX//h67VF+BWNOJuBXDssWbuChoq1xGb3QSsvR+f2knHaJe32WZL1hIKiJtwRVWsxZMRaxfzBQocjkrDws4LBIH/5+79YXVyFqkG3FCd33/jbn22optfreeTO3zPjufex5o1oK1fDQayeClrD8cxfvIyiwk1I3Xwk9xqMy2GnduVGLN3HoPg9OOOTMZlMGPInEKjZjrXHKHzbV2AvOB1CQWR7HJ6NCwk1lGOM7YJ32zLC7iqU1kY0JYR/50bM6b0ikzNoKp7CxaAzIcsymiRF7gsbrXi3fU9udk+qti7h3dIeWLpFphOsURVqNv6PT//9HAaDgV27dmG327n64b+3DX25h61xG6NGnH/03wDhF1PQkR5riXYYgrAPkYSFn3XHo//HZlNPjN0jfavXBrxcf/ds/v3MYz/b17RnjzwuHJzJuz8swB/XHW99FdUr/kfmadNZiZkWq4Y3PQlv4Wq2/vA5RnsM4UCA8PZNyHojLRYreoMeS7fh6KxOmld9gmPw2aCEkYxmlNZ6LLkDCZRvpqXwG3QGM7be45BNNtzL3iPsrqFlZTGS3oimBDEkZEM4QGDd/9B1HY5si8FftoHA9hXUxSXQXFlO3Oi9/Z0lWUcgeySvvfUeN15zJXl5kSkDf3fOaF744HNCaQWggaFyLTeeNx6LRXzQd1QpLvPPLyQIx5lIwsJBVVRUsLFJxtw9oa1Mb7JSZe/KN98tYezokT+7jWuvuIi+ecu4/dGncct2tO5jqPRoqAbQ9CZM6b0I1u/E1mcCTd/PQ2914egzHkNCJkpjJS3rPkf533MY03sjW+zojBa0UBBUFb09HmQdxqQcAiVriB13BTpbDCChdyWhcyRg7DZk95jPGq3rvkTVVPLHn0PJysU0b2skFFbQmW1IjTsx5gxhV20zic4gsTGR4f5Mjlh2VW9rt0/nTDmdcSOG8uFnX6KTZH51y+2iC1sHl2A3RTsEQdiHaJglHFRZ2U4C5oR9yvUxaWwqKjmkbaiqylOvvUfcab/DGJOKuUsvFEmPKhlAktFUFUN8JoqnES3oxzHoLExpechGC4bELJyjLwWzFUvOQGSjFXQGJL0RnSM+MuGCqqAGfBhTu0ee3z2hgDm7AC3openb12lZNR/3svfQ2ePQGc0Ea7bTpUd/0uOdxJg0hl54E91GT0XyNyGb7TS4W9umqPDVldMvL2ef/XK5XFx+wTQuOf9ckYA7AddhTI4gCMeLqAkLB5WX1x2b90sgr125UlvC0Emj2pVVVFTw93+/TU2zjySXhesvP5+0tDS2bt1KrSkNhyxji0vG3VCBZouPJGBFAUki3FyNKbNvpKZr+9EoVJqGzmhFZ3ZiiO+C3TYZz9rPsPWdsHs2Ign/rk0YEzMJ1pTuWYlIIpZQQ34kZLTdXZaU1gbUYIA/XzqCXRVVfBmyUTr87LaXS+ySTW3xckxdehAOhdECHhLr1nD+VDGzVmfnMIuPO6HjETVh4aDi4uIY2TUWf1VRW5m/oZI8Qz0D+vdrK9teUsrVDzzLSn0fKlJHsVLfh6sfeJaS0h2RYUylyL9ayJ5My7ZlhIMBVH8rmqaheJoIu2uRdMbIQBp7aBpIkdGxkGSQZPRWJ9aeo2j+/g3cq+bTsuIDFE9DZJIHoxX/jnV7ViZQvhUtHMQ18kIcBZOx959CuLEcNRxgfWER55w5mbzcLAItjW0vmdpnGBlpqagr3iK18ltOd1XyzyfuxWjc239Y6JzEnLpCRyT+K4Wfdc/N19Pjg4/5YuliVFVicK8srr7s7nYDzD8z503kPpOQdZF/KZ3RjNpnEs+8Mo+/PPAH4vz/ocnbHbdfQVUVWtd9ChqoQT86qxOdK5nGhf/CkJiDr2QVpi690PytSBYHwcqt6GNTQItcINbHpCDpTZhSuqNzJkZGxvJ7Uf0teAqL8G77AX1MCqHGCpyDpuLd+gNq0IvOHo+t3ySC9TuZ/91apl80jSsuOJdP/zAbrc8Zba2dLc4YLj9zHA/cPjMah1s4RsTlaKEjEklY+FmSJHH+1F9x/tRfHXCZ6pYgckL7fydZp6emNYwsy9x33cVcesdsmojB3H0Eekc8ss6Ae80nmNL7AGBMyMJfVUTL6v/h37EWQ3wGofqdBKq3Y07vTbCmBJ3FgbdoKZLVRaCqCKlqG5LRQmDXJmR7PLLZiuquQXFXgj0Jf8kKbL3HobPFEmqsxLt5MZLOSKuqJxQK4XK5+L8//JYn/zGXitYwJhnG9Mzg1uuvP6bHVDj+HKKPsNABiSQsHBU2A7RoWrvasaZpWPWRGWkGFORz1rC+vPjBQuw5g5CNFiRZxpo3DH/JGsw5p6CzxxOsLcE58CwM8V1A0zCn90a/fQVK0I/iaybcVIka8OEcMAVJZ0AN+pD0RizdhtL87X9wDf01obK1GGKSaFg+H8fAs0EDxedGH5OMLX8C3g+fJEavYDBEPpR7dO/GP564PyrHTTh+bCYxwYbQ8YgkLBwVl/5qAn/87w+Yuw5pKwtsX8Yl0yYAkQE/Nu6oQh+fCXojyDo0JPTOFCy5A2n6+t/E5vYlsHMbttOvR9ZFEqSmhrF0G4p7wYt4GsrRx6QiGy2gaZFLzFZX5N6xyYok65EtdnzlW1CQkKwxtK5fgCRJyDYXSktDpOGX2c5Fk0eK+VpPMlaj+LgTOh7xXykcMbfbzZ///grbqprRy9DDFKKx+AvcIQmXUeP6M8cyfnRkpKw33nmPrQ0KcjhAy4r3MecORm+PRbbFghJGh0q3gWNY3dSErN/bCEpCQmdxYkzIwFIwGW/pOgI7N0DBaai+FnzFyyPru5JAp8e96mNkRzz2/NPwFi3HnJmPITalrcG0r2QVajjA1DMmRemoCdFiNoh2qELHI5KwcEQUReG6u2fTmDkOQ64NgJr6XYxIrOPBnzRoqq+v54lX3kMrOA+HzoS+oQrPxq+QDRbCLbXofE3EJybTXFmGpqpoqoIk6yIzIaGhBn2EggHsOgO2HiORJB1N37yBuUsPbL3HAxqeLd8RaqxG52vB3u80kCQkgxm9MwFkHSCBpmFMzUOSxGXJk5HVID7uhI5HfDUUjsinCxZS4+qJwWJrKzPFp7O0pImmpqZ2yz77yhu4hl+ArDcR8roxxKbiGnUp6PS4RlyELqUHfr+fblo5sqTQsvx9wu460DRCDRU0L/0vzvxTscQlgxLCmJYHaghTWg/UoAc14MGS0RdzQheMiZkoLfWgaUgGE2oogOp1owZaUXzNSJK8OykLJxtxT1joiEQSFo7Ius3bMCdk7lPuM8dTUVHR9ripqYkVm4qxOZzIIQ/oIqNkybIOWW9E1huw9h6Laovnd5edx+gsOzqjmdDOdfg2fIG3aCk6g4lQTSkNKz/BV7SUcGMllpwB6G0xyDo9OoMJvcFA95FnEKNXkDy1aN4mtJAf2WRDtjiRDRZ0VheaEoawf5+4hROfXic+7oSOR1yfEY7IwPxefPlFCda07u3Krf5a0tPTAXjqhX/x+foKNu1qwhTfiE7T0EkSqqqgEZlNSWeyoco67M4Y7nri79h7jSHD1kzlpuUYQi1ozbWEUvph6jEa2WBEDYVo/uEtdCYbWkpXAuWFqEEfCdk9MOohRmlEb0snVLQIJJmWlR9h6zMOnS2GUEMl3q3fg0EM5C8IQscgvhoKR2TiuDF08RYR9DS3lfmrtzM6Lxmn08mib75lfpEffc9xZA0cj790DaolBsIBZAmCFYWYEzORlSCBbT/QWLwWOf9MzBl9sGXl03XyVWRNvIygZMLaexyaEkINBdFCPhwFkwjsXEfr5m8wpHTF2m0I9YXL2Lb8axImXou99xhUgxXF04Qpow/+HetoXf0p4YZdGBIy0MKB6B04QRCEH+k0SbihoYFLL70Up9NJTEwMV199Na2trQddZ9y4cUiS1O7nd7/73XGK+MQmyzIvzL6H8dadxO5YSOLORVxZ4GDWTdcC8N6X32HJzAfAlZZLl/QMWpfMo3HZezQsfIWQuxY5No3W0jWoShDL4PPYsWoRmzespdoTpsarsqNZQbUmoLe6QNZFuiRZHOh0OmIS04jtOwaT2YpJJ6HpDDiHTkPTm+nSJZ1e487FmJaHb/uKyGVpRzzhllqCtaWEPU3RO3CCIAg/0mkuR1966aVUVlbyxRdfEAqFuOqqq7j22muZO3fuQde75pprePjhh9seW63WYx3qScNqtTLrpv1/qVHU9o9dqTnI2zaSPOBM0p0G1n8+D29zDZbUbqT0H4u71Ys/bwx137+JM28o5sy+YLChaSqS3ojeYEIzWtH8bnQhD2pCNgaTBQUdwepiTCndkU1WduwqR9EkNCRsXYfSvOy/GOK6IOmNIBuR9SYMP54gQhAEIYo6RU148+bNfPrpp/zzn/9k6NChjBo1imeffZZ58+a1awS0P1arlZSUlLYfMeXc8XHasAJ8VcVtj8tXL8IfCNKycRHhgBdXcjpxBRNADdFSVUpYb0Fvi8WQlItmiaFx1aeEW2rRx6TiK14GEki6yCQO3uLlhDXA7ERntqFzJBD2e/E21uLXDKjWeDRrHJLJit6ZiKy3IEkS1q4DcQ46G71V/A8IgtAxdIqa8JIlS4iJiWHQoEFtZRMnTkSWZZYuXcq55557wHVff/11/vOf/5CSksJZZ53Ffffdd9DacCAQIBDYe8/Q7XYfnZ04gSmKwl9fmsP3m8oIqpDuMnLndZczZM1GlhfVU98aoLq6Cmv+aZhtTkpKVtFcuBIzVgxJ2bQ0VhMq/RRr/ulo4SD6uC5QvhnvhgVI1lh8OzbgK1mNzhaL2lpPlktPi2RBU0Ig65EciXh/eBdHQiZGqwsAVVPxbV+ObcAZeNd/iTEpB9XfCjoDTqMYKetEJc5fobPpFEm4qqqKpKSkdmV6vZ64uDiqqqoOuN4ll1xCVlYWaWlprFu3jjvvvJMtW7bw7rvvHnCd2bNn89BDYu7Yw/HIU3/nO28KuozhhH0eSh0x3PjY87zx1P3s2FHGFff8hbzx06ht9iLr9KgaWPufgTEpB8loxhCTiiktD/fqTwg3VeHZsAClsQJN1mPvMw5ZZ0BTFQKVWwg2luGW03F2G0LDivcJuzKQzDbUcAj3krew5JyCpDcRqivDlJmPTqdHMpgwZfQhWFWEd9m73HrxmdE+ZMIxIs5fobOJahKeNWsWjz/++EGX2bx58xFv/9prr237Oz8/n9TUVCZMmEBxcTFdu3bd7zp33XUXt956a9tjt9tNRkbGEcdwotA0jTf++wGfL91AQNHITrDxh99diclkYsm2KnbUFOGXjEhmB0pjBTEJicz974cMG9AXe9dBOGJiUDWNerebQGMltoIpaK216AkRkgxoioLS2kD8xGuQdEaaVs7H1nUQOrMtUtvVwJxVgLJrA7akDDyqjKnHaNTmetBUDHFd0FQFQ1JuZOKH3IGgKoS9TZH4w0EM8RnYe4/BLtoFnLDE+St0NlFNwrfddhtXXnnlQZfJzc0lJSWFmpqaduXhcJiGhgZSUlIO+fWGDh0KQFFR0QGTsMlkwmQyHfI2TxbP/OM15pdqmDPHAbA26Oeaux9n9q1XU1RcglxwNmaznVBYQc7oT/XGhfzhoceJTUzGH9edNFMCqcnJuBwOPBtBj0p8QjzBcJjGJjeqrMcY1wWzxYoSDiOrYXTWGFpWfYykM4IkoWkqGhLp/cey8cu3CMVlY80ZSKipCqW5GtmRgG/7Cuz9JyNJEkrQh2f9Aiy5A9HZ4iAcRIrL4KW3/8sdN8+I7gEVjglx/gqdTVSTcGJiIomJiT+73PDhw2lqamLlypUMHDgQgK+++gpVVdsS66FYs2YNAKmpqUcU78kqEAjw1boSDLljUIIBmnZtiZQn9mfR98sIocNotBIKhpF0kXGazTmD8JcXogy+hNDmRdS1hvD6d9ItO5PkjBwaqrbQnNAFxWDHGJOEp3YnmhIi2FwHqoJkMOFeNR9HwSR0FmckCYeD1H/6DLJOT9Yp41j/2Vx8W75H8TZjzRuOqir4d24i+Nnz6CxOgg27iBkzHWNcl8iOGMzIOj21DQ3RO5iCIAg/0inuCffq1YvJkydzzTXX8MILLxAKhZg5cyYXXXQRaWlpAJSXlzNhwgRee+01hgwZQnFxMXPnzuWMM84gPj6edevWccsttzBmzBj69esX5T3qXD7+7EtWb9xCeHst/sZqZKsTe05/1K3f8FmZSkjRwOtBMkfGkVbDQdSQH2NiFpLBhKvvONwbF+KT9cS1pJEarqd81TLcXfpjSutBsHYHgdJVpJx5I2GfF6MrEVNyDlrtrsi0hUQuh6shP/aeo2netY26zUswJmZh6joYncWFr3gZeouTuNOvx7P6E1y9hlP91ZzI5ew2GsHqIpRQMApHURAEYV+dIglDpJXzzJkzmTBhArIsM23aNJ555pm250OhEFu2bMHr9QJgNBr58ssvefrpp/F4PGRkZDBt2jTuvffeaO1Ch7Jjxw62Fm2nd888unTpcsDlSkt38LePl2MdOBVfMIzJFkOooZxAdRHOfpNZ/s0rGB2JSFoYxeuO1FhVBaW1Hn18BpIkoTM7SBh2HoHKrZyRp7F8SxPmMVejl3SE6ndhSulKqGY7zZu+x9J1IJqqIKsqemc8qr8FZD2oCmgq5qRMmjd+gckeR0LOaLyKhGy0YOs1lpa1n2Hy1OPoMxbv1u+RdEZaNy3GEJOK3pVMqK4UJeBDkjtFzzxBEE4CnSYJx8XFHXRgjuzsbDRNa3uckZHB4sWLj0donUooFOKOR/7C+iY9YUcKxg+WU5Ag8ad7bkWn23eWmX/Oew9jj9GYquvw7x5z2RDXBX/JauSgB0P3EdhDzdRtWYyUNQh9XBr+so14Cr8l/vTr0LxuZGukNiqHPLgcCZTJKbsbXBkx5PQHwN73VMLV23Av+hcxWb0wqmE0DJjMvVHCIfSSRpfkJLxFS7nwrDF8XBePaomhpLIeCQ0kCUt6L2zealzZffAqNbgDrdi6DwNJRvE0Ys4eQLB6O+Hi8HE73oIgCAcjqgQnmede/jcbDXlYug/DkZKNqfsI1mhZvPTaG/td3u0NojOYcDkd6GQJSVWQVAW9Xk9WWiKyrMMcm0z+hGnIRV/jXvgyOhRkk5VwfTlGsxUJiXBrI6mtW+mem4uqN6M3WdGCHlAjQ2vJZjtaMEC/jFi6nTKa3qdfQqzLSbi2BIPRSFpyInJLNafm2hnYvwCCXhx2O3aTHr1OQi+DXg0Sl5iI1V3Ka//3IDpbLL7S1fh3bkAL+fBu/QHV50Y2i9bRgiB0DJ2mJiwcHSu27sKUk9euzByXxg8bF3L9fpbv1z2DzaXVOJyJGBpbkIxWNE1D06kYjGZsVWvxGCPjOfc751oCLY2UL/+c0b0SKC77kvoSE5ok0S8jln/+4y/U19fjaHwfryURizOOoMeNqmr4Cr+hi87NJ/Ne5Ym//YvlhZtJTErCXroWm6+QnnndmDCigHPOvAJVVXG9/hGh1G6kJsaxfWclisFM69alNCQlM31sT/r3y0cLBXAMOBM14EX1uTFl5IOm0rBZXCERBKFjEEn4JKMdqFzb/zOXnX8uC29/iGptEMlxTiqra/AULSU1rQslHz6DLSUX4rtR2VBL2arn6ZXbhRvOHs6M31yGJEmoqsr8T7/kg88XM/6i32HPyserd9H0zVwsvcZgSsrBV7SUFGOAB2f+lpf+/Sbbq5pw6sJ01VdjyO+GJyyRHGdn7MhhyLKMLMv86fZrePCZVyisCBDSWQhXbSUpJZ3E7gUU74oMlynLMt5tS7B0GxqpeathWtd8jtEiasKCIHQMIgmfZPKzkljY0ojJEdtWFnTXcUr39P0ubzabefnJB5j7zvus3baekcl6ug4cRmurl/ctQ7F3j3QRS8/NI5g/GGvhR/TITqehoYG4uDhufeBPrAunUFRYg2XQFfhDfhKcZvrnj6P8s5fI8m9k2NC+zPjtHdz/5N8osudjzM7D6/OxvGgrUuFm8saey8JvPuLlD2+gb49c+mYmcM9N13DfDZdzzZPzsGTlYx51OpIUGY6ypKSJ9Rs2Ygx70NvjaF39MZKsB03BlNYDU+XyY3+gBUEQDoFIwieZW667kpL7/kRxfQJybDpaQxl5xiZu+MOsA65jNpv5zWUXtSu7Z/ZTWHMHtj1WVY3K2nqaqlUe+ngL9ve+p5styMZwEmGdhpzaC1mnB52dBnczsS4nSYPP4JbTsjnt1HFsLtxCod+JNS0BgJr6RgzJufhaatn46b8xFZyJ2WyjEj+K0c4N9/yJ804bialLLyyxye1i05ypbCku4bxuEu9uXoRj+IXIFiehpmoC381hxvj2l+MFQRCiRSThk4zZbObFJx5g7foNrN+8lf59JpDftw8ff76A+YuXElZgYI9MfnPpBRiNxgNuR5Il+NEl7MrqWkIGO5LJhj0lG4OlLwtXLMTh0pBCXmTT3v66imQgEAgim+00NEUG2F+7aQtSzN7aeFgFCQlVZ0Z1pGK1OAAIhhT0ZivlpgxkVOSmMkhs38VKbirjlPzzaBg5jul1n3D3N49TG7IywN7KjZPNBEYdeMIPQRCE40m0jj4JSZJE/375XH7hNPL79uHpF1/hqQXF7EweTVWXMfx3p4WZ9/zxgPeJAS4+axL+khW7H2n4QpF+vPpgCwaLHQBHTj+qi9YRk9mDcGXh3tfXIq2rDTWbmTh2JAAFvXugNe1qW0bePdFRsHIrhvj03a+iodt9yVnnSsHtDXBKIvhqd7at56vbRUGsSm5uDpfddB9LpQH8boCRRwa1cFYfJ0VJk5l0zgW/+BgKgiAcDaImfJJrbW3li/U7sfQ4ta3MHJtMcWs93y9dxshh+x8WtE/vXlw0aC3v/rAAX0wu/l3b0JqryBv1q7Zl4mJc1Hlq0RnMxCcksGvhK2CNxeaMxe+xc8nwPOLj4wHo1bMHPUxvUuSuw+RMIMZhpbJyJxa9hNZUjpacS6C5Bs1opKisAqV0OT0mXcCl55/Lq2+8w7frIi2eR+Z35cpLbgNAp9NRYujKnEoTLQGFFKeRc3tnHatDKQiCcNgk7WDVHQG3243L5aK5uRmn88SbDH79+vXMfPU7nFl925UrwQDjjEXcceN1B13f7XazdPlKXp73Hs09zkZvMrc9563YyvnddCxcsYHv1hdj7DkWvT0Wo7eB7uESXn9udru5nYPBIM/+81VWFVUiSaD3u2kKqixZugryRmPNHoDeaEJpqkRXvoaCNBvznn0MvX7/3yXvefTP/GP+t+gyBqCLSSFUtQ19fTHP3XUd55415RccNaGz2HP+Zt08j9KnLox2OIKwD1ETPsmlpqZi8u87oUGgsYKeI3N+dn2n08lpE8YzcEABM+7/MzXWXGRnIlpNEcPTdFz3m5vZUvY4+edNRqc37m7BnIunpSt/e+V1bp9xTdu2jEYjt92w97HH4+GyWx+mz7k3sGHRB3ha69FUhdj4RPJOvYDG2h3878uFnDX5tP3G9tr7n2MecSU6WwwAhoQMAuVdePz5f4okfJKRDtg5TxCiSyThk1xCQgIFSQbWueswOiMtk5VggLj6DZxx2sWHvJ24uDhef+Yxvl+6jJKyckZf9muys7MBKGsMoE9oP72cyRHLprL1B9yepmk8/PhTrK9oQS39FHNWf2xZ+QBI/maQJEyxqWzdXtq2fF1dHUajEZfLBYBXZ8O5OwG3vW5aD0o3fnrI+yUIgnAsiSQs8Me7buYvf/8XK7auRtEgL8HG3Y/eccDLvAciyzKjhg9j1PD25QZZ46fzFmmahvEgzQLvf/yvfLA9jL7gVyieZppXf4oxOReD2YaCDkVRCFZuY9SFg9mwaTOzX5xLrWpHVkPkOOGPd8xAlqXI6CRSu1fGfJBW34IgCMeTSMICBoOBWTcd/N7vLzE6P5f3y3ZiTshoK/Pv3MCQ/GwefPJZFEXhgjNPI79vHwDWrd/A99USrq4DaAopkfvIsam0FK8mptcIZBSCTTX00NfSt3cvLrj5EaT8MzHtbjm9I+jntkefJt0uU11RSKC6GCQdkiRhcMYzvm/uMdtXoWOSfn4RQYgKkYSFY+76qy6j7i/P8+5XX9OqdyI1V5JqDPDXrU68shWDycKionf49eDl/P7aK5m/4GtMGfmYdDrcOyvRzE5i+o6jcfmHeL6dQ7dkF5eePZErLrqbN9/9iED6QCzS3o9ZndFMWdjJpWeOZ/Y732EdcCaS0YLiaca/7E0eevO5KB4NIRpEEhY6KtFPWDjmJEliR2UNCQUTyOk7hJwxv2Z9eSMNCQXo+04hnDmY0qoG5i5YSU1NDSkJ8QQ9zehkHVlpyVhUL3LAjc2k5/4rf8Wit/7Bby67EL1eT3V9Awara5/XDBtszP92JbGDz0InAQEPRpOZuBEX8tJ/3kHdPXuTcJKQ952mUxA6AlETFg6Loij889/z+GFjCQDD+uTw28sv2u9cxHt8v3QZpfoMbPEpAGxd8Ca2/r9Cn5CJpmnoTDZsBZOpXP4Ony/6lvPPOYP/3vZHNNcZGAwG0lNTCAe8ZBDPtVdd0W7bv5owho+f/xB9t/b9mV3eCja4FYz2OAx7Yg94aVr7Lf9eXcPG6gfJiTfx0C3XkZCQcPQOkNAhaaIuLHRQoiYsHJY7HnmSt3cYqMscR13mON7eYeCOR5486DrL127CmLB3kIyA34shNg2Q2kblkiQJ1WjHYbXgcDh4dMYlOIs+w7/1O0KFC8ltWM6T996yz7bz8rozLtOEp3QNmqqiBP34Cxcz/YzhqKFAu2UbVn2Cpfc4bAPPQtfndErihzHj/idFrfgkIDooCR2VqAkL+1j4zXe89b/F+MMaeV3imfmbS3E4HBQXb2ddox5Lt7S2ZS1xaawr3sn27SXk5u6/X/GA3nl89PFmDF16RtZxxtPqc6PXJ7TNfKShofPWcfqEcZF1CvJ5/a99qaurw2QyHXSglHtvncGklav44IuvMRsNXHHHZWRlZfH0v96kpHgFUkwXgtUlyDFpaGoYqznSXUpnMFHr6M433y1h7OiRR+PQCYIgHBaRhIV2/vP2e8xZshNz9mgkSaLC28KaOx/j1f97kLUbN6PGZuyzjuLKYO3GzQdMwqNHDift7U+o9XbBYHWQ1mcIm5cuxNhtCJpmjfQi8tQxdVhPTKa9/YklSSIxMfFnY5YkiSGDBjJk0MB25ROG9uMv//4QObYLmqJgzshHDXhJSNk7UYTOEU/JzgrGHuLxEToncTFa6Kg6zeXoxx57jBEjRmC1WomJiTmkdTRN4/777yc1NRWLxcLEiRPZtm3bsQ20E1MUhXcXr8aSc0pbDdVodVCfdApvvT+fXnndoLlyn/UkdyW9unc94HZlWeaF2XczTFeErXgBKc2bOL9fAoMppkvrFrKb1zDcsIO61iBnzniI82bez3P/fO2gE0gcik8WLyN+9OXEjbiQmEFnobTWobM4qW1obFtGq9nG2OGDf9HrCB2fJIs0LHRMnaYmHAwGOf/88xk+fDgvv/zyIa3zxBNP8Mwzz/Dqq6+Sk5PDfffdx6RJk9i0aRNms/nnN3CSaWhooFW2Y/pJuSU+jQ1Fy7jiol/TzTCP0tZGjPZYAIKtjXQ3NtOzZ4+Dbttms/Hg7Te2K9M0jcbGRmpqavn9X+dh7D0BPRACPtxRivSv/zDj6suPeH+q/RKWhN3THBrjCRoMBKuL8canoWka3vKtjEjTk5OTfcSvIXQOIgcLHVWnqQk/9NBD3HLLLeTn5x/S8pqm8fTTT3Pvvfdyzjnn0K9fP1577TUqKip4//33j22wnZTL5cKsePYpD7gbyE6NXBZ+5pFZjDHvwlq8AGvxAsaYd/HXh+88oteTJIm4uDhee/cTdN1Ht3vOlJTNV6t/2VWLn7bYjsk/FYPJhH/Jf8it+57bJ2bzyJ03/6LXEDoHnUjCQgfVaWrCh6ukpISqqiomTpzYVuZyuRg6dChLlizhoosu2u96gUCAQGBvq1q3233MY40mn8/HC6/8h0+/W4nNqKNneiqra0oxJ2UDoCphTDu+47Ib7wHAZDJxzy3XH9UYmn1BdI59h5L0hkFVVWT5yL4r9k5zscXnRmeJNOrS0DCYrPzm11N4cNatvyhmoWM60Pkri6qw0EF1mprw4aqqqgIgOTm5XXlycnLbc/sze/ZsXC5X209Gxr4NkU4UgUCA0y75Hc+tDVOadSYbEk/ljeVlJFT9gKP4S4zbFtC1fgl/v/+mYzqNY6+sFPzu+nZlmqaRaNUdcQIG+Nujd5G440u0+lLkgBsqN5Mf2MSdvz+6XyKEjuNA569OEklY6JiimoRnzZqFJEkH/SksLDyuMd111100Nze3/ezcufO4vv7x9OIr/6EicQjGpBxknQGdyYZ98Hks3VrFCw/fyrOzruEv999OenqXYxrHby45n7jyJW2JWAkFCG5awO8uOuMXbTcjI53P5zzF7cNdTI0t509Te/HOP/4Pi8VyNMIWOqADnb+ySMJCBxXVy9G33XYbV1555UGXyc09ssH2U1IiozNVV1eTmpraVl5dXU3//v0PuJ7JZGrXTeZENn/xUgw5Z7cr09BokWycef19mBKzcISbmDqqgOkXTTtmcVitVl558n5emfsOm3YUEmM1Me3ac/j822W8+ckislPi+c3F09qmKDwcNpuN315+6FMyCp3byXT+CieGqCbhxMTEQ+oHeiRycnJISUlhwYIFbUnX7XazdOlSrr9eXI4EcFoMqAEfstXRVhb0tKAiYex3BharjTDw72WryOzyHeMPYUCL+vp63G43WVlZh3Up2Wq1MuO3kSEpS3eUMePRv6F0G4sh3kFhYxOL/vBH/vHobSQlJR32fgrCL+3uJgjHSqe5J1xWVsaaNWsoKytDURTWrFnDmjVraG1tbVumZ8+evPfee0Ck5e3NN9/Mo48+yocffsj69eu54oorSEtLY+rUqVHai47l0TtuxLfmo3YfUIG6Mkw2Bxarta3MnD2Atz9dfNBttbS0cMPdj3HJgy/x22c+5Nc3PsDnX319RHE9/fIb0Gcyht1fDoz2GEI9TuPpf75+RNsTBJGChY6q07SOvv/++3n11VfbHg8YMACAhQsXMm7cOAC2bNlCc3Nz2zJ33HEHHo+Ha6+9lqamJkaNGsWnn34q+gjv1rNnT+6++FSefO0f+C2JSEqAYN0uCi6+A+lHYwxJkkRAOfi27vrTM2yPGYQx1YaRSF/fJ9/6kvxe3dvdDjgUFe4AcmL7f02d0cyuKu9hbUcQ9hB3hIWOqtMk4Tlz5jBnzpyDLvPTS06SJPHwww/z8MMPH8PIOrcbfnslv73iElauWo3ZZOLldz6hxNS+u1CgpZHemQe+beB2uylq0jCk2NqV67qO4NW3P2TWTdcdVkwWPfh+UqZpGmadqM8IR0YSDbOEDqrTXI4Wjh2j0cjwYUMZMKA/s66fjm7TJwTcdQB4a3eSWPE911956QHX9/l8KLp9G8PojGbcrYdfez177CD8Oze2K/OXrOSiM8Yf9rYEAURNWOi4Ok1NWDg+0tO78MZTDzD33Q/ZvnM5Awd255wzHsZgMBxwnaSkJOK0Zjya1q7G4d25gTN/PeKwY5h21hm0ev7LR99+RqtqwKlXmD5xKKeOOXjDsF27yvnry3OpbAli0alc8qsJjB89ArfbTW1tLenp6aLl7ElK1ISFjkrSRLPBg3K73bhcLpqbm4/pgBVHQ1VVFZ8v+pakhHgmjB110MR5tC1buZoHXnwHNWc4BqsDb9l6hsb6+eM9tx3xB6CmaQSDQYxG489uo66ujul3PQm9JyHrDWiaRqB4OXHeUtzGRAJGF/ZgA2cN68U1l194RPEInc+e83fAve+z6pFzoh2OIOxD1IRPEE+/OIdP1lWgpfZGWbeTF966lyfvvI5uXY+sn/XhGjJwAHMfz+b1dz6ktnE7Z186hlMGFPyiGogkSYdcc33h32+hdB+PQW9oW7fJmcOWLZsoOHM8eiItZN9cs5bczG+YMHb0QbcnnFhEVUPoqMQ94RPAho2b+GhTA6aeY5AsDupVC1ucA5hy9e3MeePt49ZHMjY2lpnXTOehO25i4Cn9j+slwIqGFgyW9g3DPP4QmOzt9t+c1Y93P//muMUldAzigp/QUYkkfAJ4a/4XmHNOIayEKausJWCwgyWGYGIvXllayd9eOfH71ya7bIQD7RuBaYCshNt9GZAkiaB6nIMTok4VSVjooEQSPgEY9Do0VaG+oRHN5Njbx1fTMKd048tVW1GUn+no28ldf8UFSFsXoSrhtjJ15xoS0rPbLedvrmVA9xN3Ug5BEDoXkYRPAJdMPYPg9mUEwwqyHJlDV1NC6PxNGG1OfJIFj2ffeYJPJElJSTx317V0b1yKvWQhSTsXcv95A0nXamip3onX66FlVyHp9Su5+tILoh2ucJyJ1tFCRyUaZp0AunbN5YrRPXjqzc/xxfWGoB+ttoiErDw2ffEmeOu5/8m/cfPVl5CdlRntcI+Z3Jxsnn7ozrbHwWCQ5esK+Wrt57QGVBLtBvJPGy66KZ2ERAoWOirRRelndKYuSjU1NZx/3a2Ec0YRCgWprm3AlNGXJKcFl8OGuukz/vXQTYc9jGRn9cenX2CxJwWjM6GtzLtzI7ef3p0pE0+NYmTC8bLn/O1/z/usflR0URI6HnE5+gSSlJTEh3OeZ0qGSvPm73Bl96FLnJ3YGBeyTg95p/L3197aZ7016zZw9R8e5qwZD3LB7x/gH6/NOyFak64qrmyXgAEs6b35aOHSKEUkCILQnrgcfYJxuVzce8sNLC2qgS7ta7x6k4WaKn+7svLycmY9Pw99n0lIkoQPeHvrdpRX5/K7gwxV2RmE9/M9QpIkwmrn/4IhHC7xngsdk6gJn6Cchn0/dJSgn0Rn+xmk/vHGe8h549o1XDEl5/L5ii2dvjacE29FCQXalfkbKhnUKydKEQmCILQnkvAJ6pIpY/BvX96WSFUljLblK66//Px2yzW4veiM+07t6FV0nb5b0703/Rbbts/xVpegBP14d26gm3cTV13862iHJhx3ommW0DGJy9EnqDMnTcBiMTP346/whCWSbHp+f9e1pKWltVuue0YSm2vqMTvj25XHm1T0+s797xEfH88bzz7GJ198xZbi7Yz69UCGDR4kuquchGTxlgsdVOf+lBUO6tQxI3925qHfXHI+i29/mJasMRhtLlQlTHDbd/z+gtOOU5THll6v5+wpp0c7DCHKZJGFhQ5KXI4+ydlsNv71+D2c5qggrfJbejYv5+mZ05g4dlS0QxOEo0YWVz+EDkrUhAWcTie3z7gm2mEIgiCcdERNWBCEE56oCAsdVadJwo899hgjRozAarUSExNzSOtceeWVSJLU7mfy5MnHNlChwyks3MLHn31BZWVltEMRBEFop9Ncjg4Gg5x//vkMHz6cl19++ZDXmzx5Mq+88krbYzFu8MnD6/Xy+weeYHs4BtWehGH+qwzLsPLQH24ULaQFQegQOk0SfuihhwCYM2fOYa1nMplISUk5BhEJHd0fn32JsoShWK2OSEFSJt9VFfPOBx9z/tRfRTc44bjq5OPOCCewTnM5+kgtWrSIpKQkevTowfXXX099fX20QxKOk007GzHuScC7WVO68uWydVGKSBAEob1OUxM+EpMnT+a8884jJyeH4uJi7r77bqZMmcKSJUvQ6XT7XScQCBAI7B3q0O12H69whaPsgJUfUSs6YR3o/O3sQ7AKJ66o1oRnzZq1T8Opn/4UFhYe8fYvuugizj77bPLz85k6dSrz589n+fLlLFq06IDrzJ49G5fL1faTkZFxxK8vRFePVBchn6ddmbemlLGn9I5SRMKxJs5fobOJ6nzCtbW1P3t5ODc3F6PR2PZ4zpw53HzzzTQ1NR3RayYmJvLoo49y3XXX7ff5/X2TzsjI6BTzCQvttbS0MPO+x9ml74LkTEJqKOWUeI3Z99yKLJ/wd2JOSgc6f4c88CFLHzwripEJwv5F9XJ0YmIiiYmJx+31du3aRX19/UEntTeZTKIF9QnC4XAw56lHWLV6LVtLdjB0wHnk5ooZlE5k4vwVOptOUx0oKytjzZo1lJWVoSgKa9asYc2aNbS2trYt07NnT9577z0AWltb+cMf/sAPP/xAaWkpCxYs4JxzzqFbt25MmjQpWrshHGeSJDHwlP5cPO0ckYBPYqJHmtBRdZqGWffffz+vvvpq2+MBAwYAsHDhQsaNGwfAli1baG5uBkCn07Fu3TpeffVVmpqaSEtL4/TTT+eRRx4R35QFQRCEDiGq94Q7A7fbjcvlEveEBaET2nP+nvN/n/P+LSfGzGDCiaXTXI4WBEE4Ug+cJVrECx2TSMKCIJzwuiY5fn4hQYgCkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCiRCRhQRAEQYgSkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCiRCRhQRAEQYgSkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCiRCRhQRAEQYgSkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCiRCRhQRAEQYgSkYQFQRAEIUo6RRIuLS3l6quvJicnB4vFQteuXXnggQcIBoMHXc/v9zNjxgzi4+Ox2+1MmzaN6urq4xS1IAiCIBxcp0jChYWFqKrKiy++yMaNG3nqqad44YUXuPvuuw+63i233MJHH33E22+/zeLFi6moqOC88847TlELgiAIwsFJmqZp0Q7iSPz5z3/m73//O9u3b9/v883NzSQmJjJ37lx+/etfA5Fk3qtXL5YsWcKwYcMO6XXcbjcul4vm5macTudRi18QhGNPnL9CR9cpasL709zcTFxc3AGfX7lyJaFQiIkTJ7aV9ezZk8zMTJYsWXI8QhQEQRCEg9JHO4AjUVRUxLPPPsuTTz55wGWqqqowGo3ExMS0K09OTqaqquqA6wUCAQKBQNvj5uZmIPKNWhCE6HM4HEiStN/nfnr+ivNW6OiimoRnzZrF448/ftBlNm/eTM+ePdsel5eXM3nyZM4//3yuueaaox7T7Nmzeeihh/Ypz8jIOOqvJQjC4aupqSExMXG/zx3o/BWEjiqq94Rra2upr68/6DK5ubkYjUYAKioqGDduHMOGDWPOnDnI8oGvpn/11VdMmDCBxsbGdrXhrKwsbr75Zm655Zb9rvfTb9JNTU1kZWVRVlaGy+U6jL3rPNxuNxkZGezcufOEvG92ou8fnFz72NTUdMBz8afnr6ZpBINBEhISDlh7FoRoimpNODEx8YDfaH+qvLyc8ePHM3DgQF555ZWDJmCAgQMHYjAYWLBgAdOmTQNgy5YtlJWVMXz48AOuZzKZMJlM+5S7XK4T9sNtD6fTeULv44m+f3By7OPBkumBzl9B6Kg6RcOs8vJyxo0bR2ZmJk8++SS1tbVUVVW1u7dbXl5Oz549WbZsGRBJmldffTW33norCxcuZOXKlVx11VUMHz78kFtGC4IgCMKx1CkaZn3xxRcUFRVRVFREenp6u+f2XE0PhUJs2bIFr9fb9txTTz2FLMtMmzaNQCDApEmT+Nvf/nZcYxcEQRCEA+kUSfjKK6/kyiuvPOgy2dnZ/PT2ttls5vnnn+f5558/4tc2mUw88MADJ/QlrhN9H0/0/QOxj4LQWXXawToEQRAEobPrFPeEBUEQBOFEJJKwIAiCIESJSMKCIAiCECUiCR+iI51OsbN57LHHGDFiBFardZ8hPzur559/nuzsbMxmM0OHDm3rxnYi+PrrrznrrLNIS0tDkiTef//9aId01M2ePZvBgwfjcDhISkpi6tSpbNmyJdphCcJRIZLwITrS6RQ7m2AwyPnnn8/1118f7VCOijfffJNbb72VBx54gFWrVlFQUMCkSZOoqamJdmhHhcfjoaCg4Bf1AOjoFi9ezIwZM/jhhx/44osvCIVCnH766Xg8nmiHJgi/mGgd/Qv83HSKndmcOXO4+eabaWpqinYov8jQoUMZPHgwzz33HACqqpKRkcGNN97IrFmzohzd0SVJEu+99x5Tp06NdijHVG1tLUlJSSxevJgxY8ZEOxxB+EVETfgX+LnpFIXoCgaDrFy5st10lrIsM3HiRDGdZSe2Z2Yzce4JJwKRhI/QnukUr7vuumiHIhxAXV0diqKQnJzcrvznprMUOi5VVbn55psZOXIkffv2jXY4gvCLnfRJeNasWUiSdNCfwsLCdusc6+kUj7Yj2UdB6IhmzJjBhg0bmDdvXrRDEYSjolMMW3ks3XbbbT87JGZubm7b3xUVFYwfP54RI0bw0ksvHePojo7D3ccTRUJCAjqdjurq6nbl1dXVpKSkRCkq4UjNnDmT+fPn8/XXX+8zhrwgdFYnfRI+ltMpdhSHs48nEqPRyMCBA1mwYEFbYyVVVVmwYAEzZ86MbnDCIdM0jRtvvJH33nuPRYsWkZOTE+2QBOGoOemT8KHaM51iVlZW23SKe5xItaqysjIaGhooKytDURTWrFkDQLdu3bDb7dEN7gjceuutTJ8+nUGDBjFkyBCefvppPB4PV111VbRDOypaW1spKipqe1xSUsKaNWuIi4sjMzMzipEdPTNmzGDu3Ll88MEHOByOtvv5LpcLi8US5egE4RfShEPyyiuvaMB+f04k06dP3+8+Lly4MNqhHbFnn31Wy8zM1IxGozZkyBDthx9+iHZIR83ChQv3+35Nnz492qEdNQc671555ZVohyYIv5joJywIgiAIUdI5bmoKgiAIwglIJGFBEARBiBKRhAVBEAQhSkQSFgRBEIQoEUlYEARBEKJEJGFBEARBiBKRhAVBEAQhSkQSFgRBEIQoEUlYEARBEKJEJGHhhPb1119z1llnkZaWhiRJvP/++9EOSRAEoY1IwsIJzePxUFBQwPPPPx/tUARBEPYhZlESTmhTpkxhypQp0Q5DEARhv0RNWBAEQRCiRCRhQRAEQYgSkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCiRLSOFk5ora2tFBUVtT0uKSlhzZo1xMXFkZmZGcXIBEEQQNI0TYt2EIJwrCxatIjx48fvUz59+nTmzJlz/AMSBEH4EZGEBUEQBCFKxD1hQRAEQYgSkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCiRCRhQRAEQYgSkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCiRCRhQRAEQYgSkYQFQRAEIUpEEhYEQRCEKBFJWBAEQRCi5P8BPzYtbKKAdQYAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=4e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=8e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=0.00016, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=0.00032, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, lasso_coeff=0.00064, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=0.0, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=5e-06, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=1e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=2e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=4e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=8e-05, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
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+ffvO6JjZ2dli3LhxIikpSWi1WhEVFSUuvvhi8dtvv53w/McPJzp2CNqxxo4dK8xms18axw1REkKI/fv3izFjxojo6Gih1+tFWlqauOOOO3zDwP5uaNprr70mWrduLbRarYiNjRXjx48XJSUlfnlONMvVqfybHe/4IUqKooiIiAhx8cUXi3Xr1vnyXXTRRcJgMJxwGkshhLjhhhuEVqsVhYWFQoi/7mVtn+PvmyQ1dIoQddhrRDqh6gkVCgoKiIqKCnRxGqyZM2dy4403smbNmlqH9EiSJDUk8p2wJEmSJAWIfCdcT1RUVPztu9To6OgTDjGR/mKz2WrtTHasiIiIUx5P/G9SUFBw0skzdDrdaU+KIknSickgXE88//zzPP744yfNk52d7VtAQTqxzz//nBtvvPGkeZYsWSLXqa1F165da51YpVq/fv1YunTpuSuQJDVy8p1wPbF3796/nTqwT58+fr2epdrl5uaydevWk+bp3Lmz30pMUpXly5f7TaxyvPDwcDp37nwOSyRJjZsMwpIkSQF0ww038OGHHzJt2jTf0C6Ar7/+mksvvbROZ1yT6h/ZMUuSJCnADAYDzz777EnnGZcaJxmEJUmSjtqw6U8m/Ocprp70JOMn/5cNm/48J+cdNGgQcXFxTJs27YR5vvzyS9q2bYteryclJcW3QEa1lJQUnn76aW666SaCg4NJSkri7bff9m13Op1MnDiR+Ph4DAYDycnJvvPddNNNjBgxwu94LpeLmJgY3nvvPQD69+/PXXfdxQMPPEBERARxcXG+BVeqHThwgEsuuYSgoCBCQkIYPXo0+fn5vu1Tp04lMzOTjz/+mJSUFEJDQ7nqqqt8C6V89NFHREZG4nA4/I47cuRIrr/+er9jvP/++yQlJREUFMSECRPweDw899xzxMXFERMTw1NPPXVaZaueC/9Y99xzj1/fkblz59K+fXuMRiORkZEMGjTIt673mZJBWJIkiaoA/OCMeRyI7UtF6gAOxp3HgzPmnZNArFarefrpp3n11Vd9c6sfa926dYwePZqrrrqKP//8k6lTp/Loo48yc+ZMv3wvvPACXbp0YcOGDUyYMIHx48eTlZUFwCuvvMK3337LF198QVZWFrNmzfJ19Lzlllv4+eef/aa2/f7777Farb6ZzKBq5TSz2cyqVat47rnneOKJJ3zzvHu9Xi655BKKi4tZtmwZCxYsYO/evX77A+zZs4evv/6a77//nu+//55ly5bxzDPPADBq1Cg8Ho/fNKZHjhzhhx9+4KabbvI7xk8//cTPP//Mp59+ynvvvcfw4cM5dOgQy5Yt49lnn+WRRx5h1apVp1W2k8nNzeXqq6/mpptuYvv27SxdupTLLrvsn78uCNw8IZIk1QW73S5uvPFGkZiYKIKDg0X37t3FihUrAl2sBmf85P+K4S8vEyNe+c33Gf7yMjF+8n/P6nnHjh0rLrnkEiGEED169BA33XSTEEKIefPm+WaWu+aaa8QFF1zgt9/9998v0tPTfd+Tk5PFdddd5/vu9XpFTEyMePPNN4UQQtx5553i/PPPF16vt9ZypKeni2effdb3/aKLLhI33HCD73u/fv1Enz59/Pbp2rWrePDBB4UQQsyfP1+o1Wpx4MAB3/atW7cKQKxevVoIUTUbmslk8pvZ7/777xfdu3f3fR8/frwYNmyY7/sLL7wg0tLSfOWu7RhDhgwRKSkpwuPx+NJatWolpk2bdsplO/bfodrdd98t+vXrJ4QQYt26dQI445n5TkTWhCWpgXO73aSkpPD7779TWlrKPffcw0UXXXRO5vBuTErsXhSV/49ERaWixO49Z2V49tln+fDDD9m+fbtf+vbt22usRta7d2927drlN667Q4cOvr8rikJcXBxHjhwBqppbN27cSKtWrbjrrruYP3++3/FuueUWPvjgAwDy8/P56aef/Gqfxx8fqpYcrT7+9u3bSUxM9FtTOz09nbCwML/rSUlJ8Vuf+9hjAIwbN4758+dz+PBhoGqWvBtuuMFvtbbjjxEbG0t6ejqqY/79YmNjT7tsJ5ORkcHAgQNp3749o0aN4p133qmTd/gyCEtSA2c2m3nsscdISkpCpVJx1VVXodPpfM2Q0qkJN6gQXv+AK7xewg3n7sfkeeedx5AhQ5g8efIZ7a/Vav2+K4riW1O8U6dOZGdn8+STT2Kz2Rg9ejRXXHGFL++YMWPYu3cvK1eu5JNPPiE1NZW+ffue8vHroowAHTt2JCMjg48++oh169axdevWGmuJ13aMf1o2lUpVo2nZ5XL5/q5Wq1mwYAE//fQT6enpvPrqq7Rq1Yrs7OxTPket5/1He0tSPedwOHjwwQdJSEjAaDTSvXv3GmsVH6/6t+4Tfap/Q4eqmc6mTJnC0KFDiYiIQFGUGu/pzsQvv/zid06tVkvz5s2ZOnUqTqfzpPvu2rWL4uJimjdv/o/LAWd2DwGWLl16wnv4xx9/1EnZ6tK4Ky/GuWOpLxALrxfnjqWMu7L2FaDOlmeeeYbvvvvOb1nQNm3asHz5cr98y5cvp2XLlqc1i15ISAhXXnkl77zzDp9//jlffvklxcXFQNWqYiNHjuSDDz7wzdF+Otq0acPBgwc5ePCgL23btm2UlpaSnp5+Wse65ZZbmDlzJh988AGDBg3yq8GeiVMpW3R0dI3lXjdu3Oj3XVEUevfuzeOPP86GDRvQ6XTMmzfvH5VNzpglNWo33HADc+fO5Z577qFFixbMnDmTCy+8kCVLltCnT59a97ntttsYNGiQX5oQgttvv52UlBSaNGniSy8sLOSJJ54gKSmJjIyMOptNqnp5yRdffJHo6GisVitz5szh8ccfx+FwnLAXrc1m47rrrmPy5MmEhobWSVnO5B4e66677qJr165+aXX1C0Jd6pjRnmdvh3c+/5YSe1UNeNztl9Ixo/05LUf79u259tpreeWVV3xp9957L127duXJJ5/kyiuvZOXKlbz22mu88cYbp3zcF198kfj4eDp27IhKpWLOnDnExcX5LZV5yy23MGLECDweD2PHjj2tcg8aNMhX9pdffhm3282ECRPo16/faS+2cs0113Dffffxzjvv8NFHH53WvmdatvPPP5/p06fz0Ucf0bNnTz755BO2bNlCx44dgar10hctWsTgwYOJiYlh1apVFBQU0KZNm39WuDp9wyw1ShUVFYEuwhlZtWqVAMT06dN9aTabTTRr1kz07NnztI7122+/CUA89dRTful2u13k5uYKIYRYs2aNAMQHH3zwj8t+7bXXCoPBINxuty/N4XCIuLg4kZqaWus+TqdTDB8+XFxzzTUn7Hxzuv7JPaxeGnPOnDl1UpbGqrYOQdnZ2UKn0/kt+Tl37lyRnp4utFqtSEpK8vs3EaKqY9ZLL73kl5aRkeFb/vHtt98WmZmZwmw2i5CQEDFw4ECxfv16v/xer1ckJyeLCy+8sEY5+/XrJ+6++26/tEsuuUSMHTvW933//v3i4osvFmazWQQHB4tRo0aJvLw83/YpU6aIjIwMv2O89NJLtS6lef3114uIiAhht9v90ms7Rm338Pjy/l3ZhBDiscceE7GxsSI0NFT83//9n5g4caKvY9a2bdvEkCFDfMuNtmzZUrz66qs1yn26ZBCup6rXVN2+fbsYNWqUCA4OFhEREeKuu+4SNpvNL++hQ4fEjTfeKGJiYoROpxPp6enivffe88uzb98+MX78eNGyZUthMBhERESEuOKKK0R2dnat5926dau4+uqrRVhYmMjMzBRCCGGxWMTdd98tkpOThU6nE9HR0WLQoEF+68cKIcT69evF0KFDRXBwsDCbzeL8888XK1eurPU8u3btEmPHjhWhoaEiJCRE3HDDDSdde/Z03H///UKtVouysjK/9KeffloAfj0l/8748eOFoig17tex6jIIt2vXTnTu3LlGeqdOnURERESNdI/HI6688koxYsQI4XK5/vH5q/2Te3hsELZYLHVaLunsKC8vFyEhIeLLL78MdFHE+eefL+68885AF+Osk83R9dzo0aNJSUlh2rRp/PHHH7zyyiuUlJT4mmjy8/Pp0aMHiqIwceJEoqOj+emnn7j55puxWCzcc889AKxZs4YVK1Zw1VVX0bRpU/bt28ebb75J//792bZtGyaTye+8o0aNokWLFjz99NO+zgq33347c+fOZeLEiaSnp1NUVMTvv//O9u3b6dSpEwBbt26lb9++hISE8MADD6DVannrrbfo378/y5Yto3v37jWuLzU1lWnTprF+/XreffddYmJiePbZZ315XC7X366KVC0iIsLXQ3LDhg20bNmSkJAQvzzdunUDqt73nMq7JpfLxRdffEGvXr3OyQIaTqeTrKws3+QE1XJycti2bRv9+vWrsc9tt91Gbm4uv/zyCxpNzcc6kPfwxhtvpKKiArVaTd++fZk+fbpcC7qe8Xq9FBYW8sILLxAWFsbFF5/b9+DHKikpYenSpSxduvS0mtsbrED/FiDVrrqmePHFF/ulT5gwQQBi06ZNQgghbr75ZhEfHy8KCwv98l111VUiNDRUWK1WIYTw/XmslStXCkB89NFHNc579dVX18gfGhoq7rjjjpOWe+TIkUKn04k9e/b40nJyckRwcLA477zzapynekxktUsvvVRERkb6pVXXqE7lc2xNtW3btuL888+vUcbq8YEzZsw46bVU++677wQg3njjjZPmq6ua8IYNGwQgnnzySVFQUCBycnLEzz//LDIyMoTZbBZr1qzxy79v3z4BCIPBIMxms+/z66+/+vIE4h4uX75cXH755eK9994T33zzjZg2bZqIjIwUBoOhRjOoFFjZ2dkCEE2bNhULFy4MaFmSk5NFSEhIjeb2xkrWhOu5O+64w+/7nXfeyRtvvMGPP/5I+/bt+fLLLxk9ejRCCAoLC335hgwZwmeffcb69evp3bs3RqPRt83lcmGxWGjevDlhYWGsX7++Rq3r9ttvr1GWsLAwVq1aRU5ODgkJCTW2ezwe5s+fz8iRI0lLS/Olx8fHc8011/DOO+9gsVj8alXHn6dv377MmzfPL19GRsYp9cYFiIuL8/3dZrOh1+tr5KleiepkqwUda/bs2Wi1WkaPHn1K+f+pzZs3A/Doo4/y6KOP+tL79+/P77//TmZmpl/+5OTkv521JxD3sFevXvTq1cv3/eKLL+aKK66gQ4cOTJ48mZ9//vmUyiOdfSkpKfVmoYh9+/YFugjnlAzC9VyLFi38vjdr1gyVSsW+ffsoKCigtLSUt99+22+O2GNVD1a32WxMmzaNDz74gMOHD/s9cLU1U6amptZIe+655xg7diyJiYl07tyZCy+8kDFjxvgCbkFBAVarlVatWtXYt02bNni9Xg4ePEjbtm196UlJSX75qpcXLCkp8QXh8PDwGr2VT4XRaKwxBy2A3W73bf87FRUVfPPNNwwZMoTIyMjTLsOZqO4Z/cMPP6DT6cjPz2fatGmsW7fujHs8B/IeHqt58+ZccsklfPXVV3g8ntMaXiNJjZEMwg3MsbPGVA9Ev+666044nKB6hps777yTDz74gHvuuYeePXsSGhqKoihcddVVtQ5or+2H6+jRo3011fnz5zN9+nSeffZZvvrqK4YNG3ZG13OiH8LH/pLgdDp9Yxn/TnR0tO+Y8fHxfmN6q1WPBaytNn+8r7/+GqvVyrXXXntK568LmzdvJjk5mQsvvNCX1qlTJ9LT03njjTeYPn36aR8zkPfweImJiTidTiorK2u8a5akfxsZhOu5Xbt2+dVKd+/ejdfrJSUlhejoaIKDg/F4PH9by5k7dy5jx471W3nFbrdTWlp6WuWJj49nwoQJTJgwgSNHjtCpUyeeeuophg0bRnR0NCaTqdaZmnbs2IFKpTqjQfcrVqxgwIABp5Q3Ozvb13kqMzOTJUuW1GgCr57U/fhm3drMmjWLoKCgc9pRZfPmzb6OT9XatGlDly5d+PLLL88oCAfyHh5v7969GAwGgoKCTntfSWpsZBCu515//XUGDx7s+/7qq68CMGzYMNRqNZdffjmzZ89my5YttGvXzm/fgoICoqOjgaoa5/HvfF599VW/eWdPxuPxUFFR4dccGhMTQ0JCgq+5Uq1WM3jwYL755hv27dvn+0Gen5/P7Nmz6dOnzxnVfM70feYVV1zB888/z9tvv819990HVM3+9MEHH9C9e3ffLwRWq5UDBw4QFRVFVFSUb/+CggIWLlzI1VdfXaP3+NmSl5fHkSNHavxbQtV7/qeeeort27ef9gQBgbiHx/7/q7Zp0ya+/fZbhg0b5jfPryT9W8kgXM9lZ2dz8cUXM3ToUN+crtdccw0ZGRlA1RR3S5YsoXv37owbN4709HSKi4tZv349Cxcu9DVBjhgxgo8//pjQ0FDS09NZuXIlCxcuPOX3nOXl5TRt2pQrrriCjIwMgoKCWLhwIWvWrPGrXf/3v/9lwYIF9OnThwkTJqDRaHjrrbdwOBw899xzZ3QPzvR9Zvfu3Rk1ahSTJ0/myJEjNG/enA8//JB9+/b51kgFWL16NQMGDGDKlCl+66N+/vnnuN3uv22Kfu211ygtLSUnJweA7777zrcc3Z133un7xUVRFPr163fSWbWq3we3b19zlqbBgwfz1FNP8cMPP5x2EA7EPbzyyisxGo306tWLmJgYtm3bxttvv43JZPItXSdJ/3qB7JotnVj1EJ5t27aJK664QgQHB4vw8HAxceLEGpN15OfnizvuuEMkJiYKrVYr4uLixMCBA8Xbb7/ty1NSUiJuvPFGERUVJYKCgsSQIUPEjh07RHJyst+MN9XnLSgo8DuHw+EQ999/v8jIyPBNwpGRkVHrsJ3169eLIUOGiKCgIGEymcSAAQNqLK13ovN88MEHNYbJ/BM2m03cd999IjQyWmi0OtG1a1fx888/++WpHr5TPbNQtR49eoiYmBi/Watqk5yc/LfDfcrLywUgrrrqqpMe67nnnvMbgnYsp9MpgoODxYABA/7+wutQ9T2Mi4sTer3+lO/h//73P9GtWzcREREhNBqNiI+PF9ddd53YtWvXOS2/JNVnihD1pF+65Gfq1Kk8/vjjFBQU+DWRSqev1Ook84mqpth9zwwPSBl+/PFHRowYwaZNm2qt5UpSYzd16lS+/vrrGosi/NvJlzJSo2exuQNdBJYsWcJVV10lA7Dkp6CggPHjx5OUlIRerycuLo4hQ4b4rZikKApff/31OStTXl4ed955J2lpaej1ehITE7noootYtGjROSvDv4l8Jyw1eg73qXU+O5vOpEez1PhdfvnlOJ1OPvzwQ9LS0sjPz2fRokUUFRUFpDz79u2jd+/ehIWFMX36dNq3b4/L5eKXX37hjjvuYMeOHQEpV2Mma8JSo2d3nd6i49K/17ZNG3jt4dt4674rePXhW9m2acNZO1dpaSm//fYbzz77LAMGDCA5OZlu3boxefJk35C46hEGl156KYqi+M1d/uabb9KsWTN0Oh2tWrXi448/9ju+oii8+eabDBs2DKPRSFpaGnPnzj1pmSZMmICiKKxevZrLL7+cli1b0rZtWyZNmuS3BvSBAwe45JJLCAoKIiQkhNGjR5Ofn+93rGeeeYbY2FiCg4O5+eabfRO8VPN6vTzxxBM0bdoUvV5PZmam3yxq+/btQ1EUvvrqKwYMGIDJZCIjI8NvneVGIdAvpSXpbFuTXSSSH/xeJD/4vXB76maJP6nx2bpxvZg58TzheaOvEDOq/pw58TyxdePZmefa5XKJoKAgcc8999RYrq/akSNHfPOR5+bmiiNHjgghhPjqq6+EVqsVr7/+usjKyhIvvPCCUKvVYvHixb59AREZGSneeecdkZWVJR555BGhVqvFtm3baj1XUVGRUBRFPP300yctt8fjEZmZmaJPnz5i7dq14o8//hCdO3f2LfknhBCff/650Ov14t133xU7duwQDz/8sAgODvZbgvDFF18UISEh4tNPPxU7duwQDzzwgNBqtWLnzp1CiL/ms27durX4/vvvRVZWlrjiiitEcnJyo1qRSwZhqdH7bWeBLwhXOhrPwyvVrVf/c6svAFd/PG/0Fa/+59azds65c+eK8PBwYTAYRK9evcTkyZNr9IwHxLx58/zSevXqJcaNG+eXNmrUKL91gAFx++23++Xp3r27GD9+fK1lqV47+quvvjppmefPny/UarXfMpbVC3qsXr1aCCFEz549xYQJE2qc+9ggnJCQUGN97q5du/r2qw7C7777bo3zbN++/aRlbEhkc7TU6B37Tlg2TUsnonUUoVIpfmkqlYLWcWrTfZ6Jyy+/nJycHL799luGDh3K0qVL6dSpEzNnzjzpftu3b6d3795+ab1792b79u1+aT179qzx/fg81cQpDpTZvn07iYmJfrPfpaenExYW5jv29u3bayxbemxZLBYLOTk5p3QN1VPvQtWMffDXnPiNgQzCUqN3bOC1uwLfSUuqn1z6SLxe/0Dk9Qpc+oizel6DwcAFF1zAo48+yooVK7jhhhuYMmXKWT1nbVq0aIGiKPWu85VWq/X9vXru/Nrmu2+oZBCWGj3/mrAMwlLtzh99Ox9vU3yB2OsVfLxN4fzRNZf1PJvS09OprKz0fddqtTWml23Tpo3fMCaA5cuXk56e7pd2bGeq6u8nmm0tIiKCIUOG8Prrr/udv1r1PPNt2rTh4MGDHDx40Ldt27ZtlJaW+s7fpk0b3/zitZUlJCSEhISEU7qGxk4OUZIaPf+acOP5DVqqW+kZHeGWl3njixloHcW49BGcf8vtVelnQVFREaNGjeKmm26iQ4cOBAcHs3btWp577jkuueQSX76UlBQWLVpE79690ev1hIeHc//99zN69Gg6duzIoEGD+O677/jqq69YuHCh3znmzJlDly5d6NOnD7NmzWL16tV+040e7/XXX6d3795069aNJ554gg4dOuB2u1mwYAFvvvkm27dvZ9CgQbRv355rr72Wl19+GbfbzYQJE+jXrx9dunQB4O677+aGG26gS5cu9O7dm1mzZrF161a/dcbvv/9+pkyZQrNmzcjMzOSDDz5g48aNzJo1q47vdD0X6JfSknS2vf/7Xl/HrHX7iwNdHEkSQghht9vFQw89JDp16iRCQ0OFyWQSrVq1Eo888oiwWq2+fN9++61o3ry50Gg0Ijk52Zf+xhtviLS0NKHVakXLli3FRx995Hd8QLz++uviggsuEHq9XqSkpIjPP//8b8uVk5Mj7rjjDpGcnCx0Op1o0qSJuPjii8WSJUt8efbv3y8uvvhiYTabRXBwsBg1apTIy8vzO85TTz3lmyZ37Nix4oEHHvDrmOXxeMTUqVNFkyZNhFarFRkZGeKnn37yba/umLVhwwZfWklJiQD8ytLQyWkrpUZvxrI9PPNT1Xuu2eO606uZnAZUavwURWHevHmMHDky0EWRTkK+E5YavWPfAztkc7QkSfWIDMJSo+dwewnSV3V/kB2zJEmqT2THLKnRs7s8mPVqKhxu7PVgHmlJOhfkm8aGQdaEpUbP4fZi1lXXhGVztCRJ9YcMwlKjZ3d50GlUaNQKTrcMwpIk1R8yCEuNnsPtRaNW0KpUuDwyCEuSVH/IICw1ei63F61KhVat4JA1YUmS6hEZhKVGz3m0JqxRy5qwJEn1iwzCUqPn9HjRqFVoVPKdsCRJ9YsMwlKj53R70agUtLImLElSPSODsNToOdxetLImLElSPSSDsNTouTxVNWGNWsHpkRMYSJJUf8ggLDV6VR2zVGhUKlkTliSpXpFBWGr0/GvCMghLklR/yCAsNXpOjxetWkGjUnDJmrAkSfWIDMJSo+dye9GoVGjUKlkTliSpXpFBWGr0nB5RNVmH7B0tSVI9I4Ow1Oi5PEeHKKlVOORShpIk1SMyCEuNmhDCN1mHRqXgkkOUJEmqR2QQlho1j1cgAI26agEH2RwtSVJ9IoOw1KhVd8SqqgnLaSslSapfZBCWGrXqmm/VO2G5lKEkSfWLDMJSo3ZsTVgu4CBJUn0jg7DUqFXXhH1DlGQQliSpHpFBWGrUqntDa44OUZIzZkmSVJ/IICw1ar53wipZE5Ykqf6RQVhq1KrfAVcNUapaRUkIOVZYkqT6QQZhqVGrniFLq1bQaVR4BXLCDkmS6g0ZhKVGze6qqgnr1Cp06qr/7nLqSkmS6gsZhKVGze6qCrg6jQqtRjmaJt8LS5JUP8ggLDVqvpqwRtaEJUmqf2QQlhq16pqw9pjmaFkTliSpvpBBWGrUHG4vCkdnzNJUB2FZE5YkqX6QQVhq1OwuDzqNCkVRjmmOljVhSZLqBxmEpUbN7vagP1oD1h390yFrwpIk1RMyCEuNmt3l9QVfrawJS5JUz8ggLDVqDpfHF3z/6pgla8KSJNUPMghLjZrd5fEFX19ztKwJS5JUT8ggLDVqDvdfzdEadfVkHbImLElS/SCDsNSo2Y9pjlYpClq1ImvCkiTVGzIIS42a3eX1TVcJVU3SsiYsSVJ9IYOw1KjZXR60qr/+m+vUKlkTliSp3pBBWGrUbEcn66im16ipdLoDWCJJkqS/yCAsNWqVDjcGrdr33axXY7HJICxJUv0gg7DUqJXZXATpNb7vJp0Gi90VwBJJkiT9RQZhqVErtbkw+wVhNWVWGYQlSaofZBCWGi2PV1Bhd2PWH9scraHMJoOwJEn1gwzCUqNVbnch4LjmaLUMwpIk1RsyCEuNVnWwNev+CsJmvYZy+U5YkqR6QgZhqdEqPfruN8hwTBDWVfWOFkIEqliSJEk+MghLjdaJasIeIahwyGFKkiQFngzCUqOVU2pDAUKNWl9adJAegP1F1gCVSpIk6S8yCEuN1rZcCwlhRr8Zs5qGmwDYkVceqGJJkiT5yCAsNVp/Hi4jOdLkl2bUqYkN0bMtxxKgUkmSJP1FEbKHykkJISgvl7WmuuT1ClZnF1NideI95r+fSlFQji54JAR+2wBcHoHH68UjwO3x4nB7cHkEQvyVv9zhJq/MRnZhJbuPVDKsbSw9m0X5HefTNQfYnltOWrTZdw6NSsGo1aBWKbi9Aq1KIdSkJUivwXV0wYcggwavEDhcXow6NZFmPUa9Co8HrC4PDrcHlaKgU6tQKwoqlYJGpfidW1GqPl4vVK8roShV59eoVOg0KlSKgkoBRanaX3X0pgiqrrX6/lTfHdXRY1bd25rn8QqBoiioVaBWqVCObq8+htcrEAgU/rr/1ffl2DSVohBk0NCrWRTq467rXAoODkZRAnd+SapLMgj/jYKCAmJiYgJdDEmSjjpy5AjR0dGBLoYk1QnN32f5d9PpdAAcPHiQkJCQAJfm7LBYLCQmJjbaa2zs1wf/rmusfiYlqTGQQfhvVDd7hYSENNofbtUa+zU29uuDf8c1yqZoqTGRHbMkSZIkKUBkEJYkSZKkAJFB+G/o9XqmTJmCXq8PdFHOmsZ+jY39+kBeoyQ1VLJ3tCRJkiQFiKwJS5IkSVKAyCAsSZIkSQEig7AkSZIkBUiDCcLTpk2ja9euBAcHExMTw8iRI8nKyvrb/ebMmUPr1q0xGAy0b9+eH3/88RyUVpIkSZL+XoMJwsuWLeOOO+7gjz/+YMGCBbhcLgYPHkxlZeUJ91mxYgVXX301N998Mxs2bGDkyJGMHDmSLVu2nMOSS5IkSVLtGmzv6Oo5nZctW8Z5551Xa54rr7ySyspKvv/+e19ajx49yMzMZMaMGeeqqJIkSZJUqwY7bWVZWRkAERERJ8yzcuVKJk2a5Jc2ZMgQvv766xPu43A4cDgcvu9CCJxOJ1FRUXK6PEmq5+TzKzU0DaY5+lher5d77rmH3r17065duxPmy8vLIzY21i8tNjaWvLy8E+4zbdo0QkNDfZ+wsDBiYmLkcoaS1ADI51dqaBpkEL7jjjvYsmULn332WZ0fe/LkyZSVlfk+Bw8erPNzSJJ0dsjnV2poGlxz9MSJE/n+++/59ddfadq06UnzxsXFkZ+f75eWn59PXFzcCffR6/VyWjxJaqDk8ys1NA2mJiyEYOLEicybN4/FixeTmpr6t/v07NmTRYsW+aUtWLCAnj17nq1iSpIkSdIpazA14TvuuIPZs2fzzTffEBwc7HuvGxoaitFoBGDMmDE0adKEadOmAXD33XfTr18/XnjhBYYPH85nn33G2rVrefvttwN2HZIkSZJUrcHUhN98803Kysro378/8fHxvs/nn3/uy3PgwAFyc3N933v16sXs2bN5++23ycjIYO7cuXz99dcn7cwlSZIkSedKgx0nfK5YLBZCQ0MpKysjJCQk0MWRJOk0yOdXqu8aTE1YkiRJkhobGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAGlQQfjXX3/loosuIiEhAUVR+Prrr0+af+nSpSiKUuOTl5d3bgosSZIkSSfRoIJwZWUlGRkZvP7666e1X1ZWFrm5ub5PTEzMWSqhJEmSJJ06TaALcDqGDRvGsGHDTnu/mJgYwsLC6r5AUr1ntVqZ880P7Nx3iJ6d2jFs0Pmo1epAF0s6x37ZkseoXiGBLoYk1dCgasJnKjMzk/j4eC644AKWL19+0rwOhwOLxeL3kRqmQ4cOc/U9j/PxLhWbzF146dccbrr3Mex2e6CLJp0lJ3p+X160M8Alk6TaNeogHB8fz4wZM/jyyy/58ssvSUxMpH///qxfv/6E+0ybNo3Q0FDfJzEx8RyWWKpLz7z5Ie70YRjDY1EUBVNcM3KiuvLeJ18EumjSWXKi59fjFQEumSTVThFCNMj/nYqiMG/ePEaOHHla+/Xr14+kpCQ+/vjjWrc7HA4cDofvu8ViITExkbKyMkJCZHNWQzJy4hQ8rS6okR6X8yvvTPtPAEoknW0nen67TfmWVVMvCmDJJKl2DeqdcF3o1q0bv//++wm36/V69Hr9OSyRdLboVAq249KEEOjVSkDKI5198vmVGppG3Rxdm40bNxIfHx/oYkjnQI82idiLc/3S7Ps2MGpovwCVSJIkyV+DqglXVFSwe/du3/fs7Gw2btxIREQESUlJTJ48mcOHD/PRRx8B8PLLL5Oamkrbtm2x2+28++67LF68mPnz5wfqEqRz6J7bbsTy4hus3rENhy6MIGcx1/RuR78+vQJdNOkcU2Tjh1RPNaggvHbtWgYMGOD7PmnSJADGjh3LzJkzyc3N5cCBA77tTqeTe++9l8OHD2MymejQoQMLFy70O4bUeKlUKqbeN5GKigqKioqIj49Hp9MFulhSAMggLNVXDbZj1rlisVgIDQ2VHbOks87pdPLb8pVY7Xb69+lFcHDwOT2/1Wrl/dlz2L4/jxCDlpuvvITmzZud0zLUternt8fj37LyMdkxS6p/GlRNWJIaqw2b/mTqG7Moi2yDotby5rfPc9Ow7lxx8YWntL/dbueLr79n6+4DpDSJ4borLjmtIG61WrnxvicobtITQ0wzvG4XE16YxcPXDaZf7x5neln1hqxqSPXVv65jliTVN16vlyffmo2n7XCC45sRFJOEOv0C3vlpDcXFxX55PR4PxzdeWSwWxk6aykc7vGwL7cZXh4O49t7/cvhwzimX4cPPv6I4oQeGkEgAVBot+vTzeWfOT//4+uoDGYSl+koGYUkKsB07dlBiSEQ57sWlaNqRL3/4BYCFy37nmrsfY8TEJ7n8zsd468NPfcH41fdmUZbcD2NkAgCG0Cg8bYYy/e3ax8LXZvu+XAyhUTXSCx0Kbrf7TC+t3vB4vYEugiTVSgZhSaoHBDWragKBAvy5dTvPfrGM8uaD0aQPwtVqCHN3Onh/9hwAducWozX5Nz2rNFoOl5769JyhZj0ep6NGuknlaRRzbcsJs6T6SgZhSQqw1q1bE2U/VKOZWXVwPZcNH8IHc75D16K33zZDXHPmr94KgE5NjX0BdKfxdN9y5UjcO3/1O469YD8DOraoUUOXJKnuyCAsSQGmUql4bMJ1qLf+QMXhnZQe3s2en99HVZHPa+/Ppqjcikpdsw+l1V0VHEcN7ovjwGa/bfb8vfTv1BLvKTbDJicn8d9bRxK1fzHurQvQZc3nkiQPE2++/p9fYD2gkr9HSPWU7B0tSfVAh3Zt+fL1/zJ33je88OE8mvQejSY4gpV2K/s3LCYuLBNz2F/vbIUQxJmrfoceNOA8DucX8PVv86lUB6GUF+AoPcK8ohS+XjGVVrFmpk4a/7dD7Lp17ki3zh0RQjS62q+qkV2P1HjImrAk1RMajYaVm3cRM+gWDMERVWkGE00vuIncJZ/gKC8BwOO04976CxOvu8y379irLmfuK1P46D9jCNJDUN+xqNMvQJU+mO3mjtw99flTLkdjC8DQOK9JahxkEJakeuSI1V2j6VkfFEb7tm0YEVVISuFKunq3895j48ns0M4vn1qtZsfO3ZSEt0Gt/WtmMI3BxAERQVbWv3dNXa8coyTVU7I5WpLqgZycHIqKitB5nTW2CSEINem469Yb//Y4+w7log6KrJHuNkSQk5dHq1Yt66S8DY2MwVJ9JYOwJAVQZWUl9//3JXZV6nDpQnDllWLZN5uU86/x5XFmr+Xaywee0vH69ezKJ3/MgZCefumm8gNkdvj3TtsoW6Ol+koGYUmqQ+Xl5Xw852v25xbQrkUyoy8ZcdL1bac8/zp7w7tgSAjCAJDcDvvan3Gvno0SHE2YDm4d2pe+Pbvz88LFZO3dz3ndOpOZ0b7W95ypqSn0aqJjxeEsDAktQQisBzZzcfumhIeHn70Lr+dkxyypvpJBWJLqyKFDhxn/xCvYk3thCEll3bYcvl82hXefebjWeZxdLhfb8ivRtgnyS4/rOIj2let55uGqVcKKioq4auJ/KI5IRxuawLcf/0rbOd/x0hMPoVarcTqdvPH+J6zffRgF6N4mhXHNgpj+3utY7G7iosIpjm2P3W7HYDCci1tR78h1aqT6SnbMkqQ6Mv2tj/GmD/PNv2yMTKA0qR+vfzC71vwejwdvLY+golLjcHt835985R0qWwzGFNcMrdGMKSWTreo0Zs2ZB8A9jz3DT0URlCQPoDh5AF8e0PHEm58QM2gcrS67h9DzxrLKk8b9T75wStexe/ce/vf2B3wx71vs9lOfdas+kzNmSfWVDMKSVEcOltlr9GzWmYLJOlRYa36DwUCCSSC8Hr90W85OhvTu7Pu+t9CKWuvfpG2KTmTF5l1s2bqNLGcYupC/xhBbS4uobNIND381weqCwtheruPQoUMnLL8QgidfeI3bX/2an0rjeXujjVF3TWXbjobfq1rOHS3VVzIIS1IdMdTyNAkh0J9k6uVH7rgB1dYfsRUexuO0Y8teT2dTMYPP7+/Lo67ldaYQAo0KNm7dgSoiyW+btfQI6vAm2O3+c0E7DREcOnT4hGVZvXYdS3LA2Lw7WmMQxqgmiLYX8vSbp74QRH3lkVVhqZ6SQViS6siAzq1xHNnnl2bfv5FRQ/udcJ+01BS+eOVxxmUY6a/bwws3ns9zj92PSvXXo5mREo2zosRvP9uhbVw8oCftWrdAlPjXbsOaNMOVsw2DQeeXbq7MoXXrVicsyzcLfsOU1MEvTVGpKPCaayyp2NDIjllSfSU7ZklSHdi3/wBbd+2jeN2flLnVRDZNJcEkGNU3k4H9+px0X4PBwJWXXXzC7ZPvvJUH/vsi23JUOAwRBFlzGdG+KYMH9kcIQZrqS/ZXlKALqur9rDcFEVO2E3dZe3TRiQghsB3azrD0eMLCwk54Hp1Og9fjQq3yb/pWvG40mob9o0ItJ4+W6ilFyG6DJ2WxWAgNDaWsrOxv596V/p3y8vK46bFXUNIHo1Jr8LicVO74lfsv78OIIYPq7Dw5OTnk5eWRlJTEth1ZeLxeevfojhCCl976gE3Z+agUhc4tmjDhxmuZ8+0PLN+4E40KhvfvztCBA046fePevdnc9uJnGFr19aV5nHaSC//gzWmP1Nl1nEvVz2/Xx75h9eMn/kVHkgKlQQXhX3/9lenTp7Nu3Tpyc3OZN28eI0eOPOk+S5cuZdKkSWzdupXExEQeeeQRbrjhhlM+pwzC0t+Z8twrrFGno9b5D/8J3buAT156vE7P9cfadTz19hwsES1RUAgu3c19119Ev9496uT4X8z7no/nr6LM3BStq4IkdRkvPvp/DXaMcfXz223Kt6ya+u+drESqvxpUG1NlZSUZGRncdNNNXHbZZX+bPzs7m+HDh3P77bcza9YsFi1axC233EJ8fDxDhgw5ByWWAu3w4cO88+k8CsusNG8Sxc3Xjqp1zO4/kV9mQx1Xc/xtmfPEtc6ioiLe/mQOh4ssxATpuW3sVcTGxp70PE6nk6ffmYtoN5yQ6hptkxZM/+hbunXKwGg0/qPrABh96QguufACtm/fTnh4OMnJyf/4mPVBA6prSP8yDSoIDxs2jGHDhp1y/hkzZpCamsoLL1SNj2zTpg2///47L730kgzC/wJ/bt3Gff+bjbpVf9QxBnYWl/Dr/f/lg2f/Q2hoaJ2dJypYzwGnvUZNOERb9YPf5XIx7/ufWbt1F7ERIVzQpzuTX51FgT6OI/v249WaePfnSVzVrwPTHrkPtbr27tQrVq3GEt6S4OOalK3R6Sxa9hsjhg6uk+vR6/VkZmbWybHqC9k5WqqvGnXv6JUrVzJokP87uSFDhrBy5coAlUg6l175cC7adkN8wVEfHI41tT9vzPy0Ts8zYcxoRNZivB43UFXrsu9dyzXDzsPhcHDLfVN5a0MF20O7Md+SwBX3PccRbSx5hw5i7HgR5nYDMfW6lh+PhPDMq2+f8Dxer7f2SZBVKrlK0N+QNWGpvmrUQTgvL69GE19sbCwWiwWbzVbrPg6HA4vF4veRGqYjVm+NjkhaUzB780pOsEdVoDvdH9gJCQm89tA4mhf9QdC+pcQdWspDI7swfMhAPvz8Kw5HdsIUnQiAzhyCJmME2WsWYmx9nu8YiqJCmKNYtTO3KtjWoneP7gSX1Jw4w3hkO4P69a1lj3+fEz2/8pcUqb5qUM3R58K0adN4/PG67UwjBYZJI6g4Lk14PZh1NX/3PHToMP997X0OlLlQI2ifGMGj/3f7Kb9nbZaWyv+efKhG+qZdBzDG9PZLU6sUPEKhbMdyvA4rwuvFEJtCWHwqDjQ4HI5az6vX65l07Qie/+QHbDFtQVEwHtnGxCvOx2QynVI5j2exWPh03vfk5hcybEAvunXpfNIe1PXdiZ5f2Rwt1VeNuiYcFxdHfn6+X1p+fj4hISEn/OE6efJkysrKfJ+DBw+ei6JKZ8GQ7u2x5+7yS3PsWsGNV4zwS3M6ndz55CscjOuLOn0wpA9hnaoV9//3xX9cBpNW7WumrhYWZMRVUYI2IR1z5jDMHS/E7fHi2L+eaJ3npIF/QN9ezHnpYe7pFcldXcP44oWHGDZowBmV7c+t27j6vmnMPWhirT6D/3y+mvsff+6ENfGG4ETPrxwmLNVXjToI9+zZk0WLFvmlLViwgJ49e55gj6raRkhIiN9HapjGXnU5V7Yxoc/6Bde2hYTsWcADl/cho31bv3w//LKQspgMv3mfdeYQsiwacnNz/1EZxlx+IY7d/n0QKvasI67bcNSKQDjtqISXoMS22AoOc8vlF/ztMU0mExcPG8LIi4ZhNpv9tgkhyMnJobCw9vmqj/XsO5+itLsQQ2gUikqNKbkDG+yRLFr22+ldZD1youdXzpgl1VcNqjm6oqKC3bt3+75nZ2ezceNGIiIiSEpKYvLkyRw+fJiPPvoIgNtvv53XXnuNBx54gJtuuonFixfzxRdf8MMPPwTqEqRzSFEUbrn+Sm65/ko8Hs8Jex3vPZiDPjSpRrpDF0ZBQQHx8fFnXIb2bdO5e0QOM7/9kS279mF1ebEW5xE18BZSEmKx2uxYbQ40ahVx6ZkkJpz5ubZs285Tb35CgRKGWnhoorPxzIN3EBMTUyOvxWKhwG1Ed1xwMia0Yv7vq7lgwImn2myIZGu0VF81qJrw2rVr6dixIx07dgRg0qRJdOzYkcceewyA3NxcDhw44MufmprKDz/8wIIFC8jIyOCFF17g3XfflcOT/oVOFIABzu/VDWduVo30YFsuzZs3/8fnvmjoINJiwzC3H4Spy2UYWvejstLKrn2H0Wu1JCbEERsdidFVVmvAPBV2u52HXv6Q8hZDMbboia5lH/Ka9GPSf/9Xa0czrVaLWrhqpHvdTkzHzTndGMh+WVJ91aBqwv379z9pz9WZM2fWus+GDRvOYqmk+kwIwdp1G9iZvZ8enTJo1iytRp7MjPZ0+PJ7NudnY4pNRXi92PZvZHT3Vqfc4clut3Pw4EFiY2NrvMJYsfIPvlm7F2dKHGqdgjmtM0Wr5hGUOYwDufmYTRYqivLQ7N3BXVNf4PG7byYpKfG0rvP7XxZii8/EdEzNVq3VsdNu5srb/g91cBTRJjUTx46mZfNmGI1G2sQY2WotR2v6a/IS154/GHvvNad1bkmSzlyDmrYyEOS0lQ1XeXk5dzzyDIe0TVCFxKEU7yMzwsOzj9zrt0oRVA1Nmvf9TyxduwWNSmH0hQOIi45m5tzvqLQ5GNSrE4PP719jP4C3PpzN96t3UqmPQu8spVMTM088cBdqtZpvfprPs7N+Yb83HF1SR4THBY5K1CoV5dt/w1F8mKCwSMIio0npPhQUBd32n5jz+lN/u2iCy+Ximx9/Yd2WnRw8sJ/chL6YIuJ82y3l5WRv20hSXDThya0RXg/ubfN5++HbSUpKxGq18uDTL7OzTMGlNRPmKGDM8D6MvLDxtBRVP78Z/5nHxqdGBro4klSDDMJ/Qwbhhuuh/77AT7sqKC0uQKg0qL1uIqJjmDS0PdeOvvSk+37/yyL+981KtM17otLosObuJkOTy4tPTPYbwrNwya8888OfGJMzfGn20nyGRpbwf7ffxKW3Pcg+h4kDW9dh7n4Z2tBYhMuJBg+uogNU7NmAXi3QRiWBvYKwiEgiE5J4aFAqgwf2P2H5rFYr4x58krzwDpiiE7EU5LB72Ze0GXglxvCqJu3sgzlYtv9GuwGXotZWNTF7XE4ybBuZ9vAk37EKCwspKysjOTm5wa+WdLzq57fd5K/48+mT/5tLUiA0qHfCknQ6Fq3ahEUTiq79ULRtBqJtP4wjZZV8s/D3k+7n8Xh4/9ulGNr0R63VoygK5oQWbLJHsGLVanJzc9m7d29V7XnhcgzHrcFrCItl1Y5DfPvjL6zdewRrRCtCe47CtncjFdt+RdHqsBcdwnlgM25bOSG9r8XU+jxMmRdSrovkyIHd5BWcvHfz2x99RkF8L98kICHRCcT3HcXuJV/g9bhxO2yU/7mI2KapvgAMVU3UBeUOv2NFRUXRrFmzRheAj+XyNNxhV1Lj1nifOulfr8BiQ0lPw+0FFBVerxdNWg92bpp90v0OHjxImS6K498Gq0PjuXPqi0S27IxXYyDckY/LYUeJqzn8xeERfPDdMoI7DUcxhKAB1O36UbppISXLPsLkLses12LIHOSrWQshcJYXU7prA18GCzbt2Mt9t40hPv6vJubi4mKefeN95i1Zi67zZQQ5vURFRqCgEB8bR2hyU7q6NmPQ6zAnBuFI7+ZXLo/LQXSw/3rB/wYuGYOlekrWhKVGy+H2Vo1NqW4+VlQIrxf337yACQ0NRes6fq4t2PnrN6g7j8LQohem1E44Wg9jz/6DWIvy/PJ53S5CVHbKzImY9Rq8nqpeyDqjmYjMQUQqlXw6/SH69OxKXJNkvPYKhBCUbf8Nrz6Y8D7X4G17ITtCu3L71JcpLy8HqiYVufXhZ/nTmIk3OBa3LpgSB+Qd+avWHBUaxNT77+Khu27ntmtGYt+10teZUXg9eHcsZvz1o87wjkqSVNdkEJYaLaPai9duwWu3ItxOvLYKhK0Mo/bEw5UAwsPDaROpxln517zh1pJ8hDGE6Ohov7yxfUbj2PA11pxdVb2qi3LQ7fiZO6+/HLXHQXxMNCFqN9jLELYy1NYixlwyiH79zqNZbBihJj1xZhWqot14ygoIatKSIFNVTVWl0WJN6snHX3wNwLzvf6YkOhO1zkBMWjr2fRtQafRU2F14vR7shQfp2/6v3t8X9O/L1Gv6EX94KcH7ltKscCWvPXhqPa+9Xi8vv/UBV949lcvunMr/TXmmxuxzDYlaztUh1VOyOVpqtJolJbBj31r0LXsDXlC8OPaupEN6i7/d9+mH7uax6a+x9UAlHpUOc/khIkLC2blkLm7UILyERcYQ37Y7F5zfm07tU1mxdiOt2idz2eQn0Ov1xH/yDSVeD3Ex0YBAAO4tm7nntgcAuO360cweNY4yc1M8WhP20nwKFr9PxxFjfeUwhESSnVM1Qc2WnXsxRnUGIDK1LfbyFRRt/AGv1oijSMXAjFQm3DTO7zp69+hG7x7+TdKn4okX32B5ZQyG5lWrkGW5nIyf8iKf/q/q2hoajYzCUj0lg7DUaF3QIwPbXi+F+/7A4xXoDAaatmjF1Rf/fVAyGo1Mf+x+HA4HDocDt9tN5qW3YepzA1pVVU3aUrAP+6JZvPLKI7Ro0ZzB5/f3O8ZzD03kgWdeI1cVhUelI9yew73XDfetZfzqB58S2utKnHYFdGaMrfpg3bmS7T/PIuPim9AazdhL82mVkgBA1/ZtWLFyH6bYVACadOhFfFs3zk3f8cULkwkPD6+T+1ZeXs7q7BIMrTN9aWqtDktcZ7787ieuuWJknZznXFLLaSulekoGYanRmnT7TZQ+9wq/5rmwOCBW5+CKLgkM6n/e3+98lF6vR6/X88o7M4ntfglFFSUohmA0Gi3akCh0WjUpKcm17puQEM8nrzzFvn37sNlstGzZEpVKxZYtWykoKmLtzsOUR8ajC6oa+uZ2uzG16EFFZTGHN/9O04y+6PYs45C+GVOnv8LIwf2JK11KYVAkOnPVPo68PVzUs0OdBWCAI0eO4DCE1eiYZoiIZ8eedXV2nnNJzh0t1VcyCEuNltPpJL+oFE10GsHGCERFDgdz8/F6vbVOunEyPyxejqXpYLRmAy5bJU5rKbERoYSmtKS8vJyIiAiEEOTm5qLVav3eHaekpABVwe2eJ18mT5uAWxtE9oECvEXrCGk/wNd5Sq1SoVFAHNlNcFYZR9TBrFa3RVFr+O39hQxqngjKAbYfKESngmG9O3LZRRfW2T0DaNKkCSZ7UY10W94eeg5oX6fnkqR/OxmEpUbrqf+9xeGYngT7pmVM44+8vcz5+nuuvOxiXz4hBCUlJQQFBaHT1Zw3OS8vj5wyB54oK1pDMPqgMADKrGXEe8oJCwtjy7YdPDXjEwoIRREe4tUVXD2kD8nJSbRp0wZFUXjkhRmUpg7CfHTcbhgmjmSto/LIAdRhcaCocBYdQmUKo0WYBqs2lOD0v2avMjXvxqKs3/hw8hgSEhLYuGkzB3PzKCgoOOM5p2tjMBi4sEsL5m7bgjGxLYqi4LAU09S6i8HnX19n55EkSQZhqRHbdrgEexOFPbv34vGCVq2Q3LQJi9eu8gXh+Yt/5d2vF1ImTOi8drqkRvHwPbf7Jq6oqKjgzfc+JKxtPyx//o6q3WDUxmCEEFRkb6ZLjxgOHjzIxCdfwdRtNEaNhtIyC6sKi/npyfeITksnTVPC9AcnsL9Sje6YiTPioiOorGxNyZZlhPa4HGfODpw5WRj0Og6Ve9GFRBNx3DWpEtox57sfWbM1mzx9U4QpAu0P73J+qygevPPWOrt342+8ltSFS/h60W+4BLRPieO2SY+cdCGM+szjlRMDSvWTnLbyb8hpKxuu7lfcRm58H1TGMFCUqnGyFUV092xh7tsvsnv3Hsa/MBtD+gDfPvaSfPqHHOHhe8bz6rsf8fOGbA67zRQeyUddUYC15AhejQE8LoJNelIjjGzLq0Dd6jy0wZEE6TQ4vAoenRnbvk0ozkpclkI0ZQeITGlDcp/L8Hg8eLweDHoDZaUlbPnieVT6ILRBYZhCwkns0AuPV1C6fTmpA6/1uyZrwQFM2b/iybwCtc7gS6/cv5kpIzPo16f3ubq9DUL189vqgbnsePbyQBdHkmqQNWGp0dq3awf6pgNxVxTjzN+DyhgCGi1LV/wKwPtffIu2xV9By1ZaQPbaxWzK3c/bn32HJ7QpSb0uoklYCDbzYSotpah0WUR1GoYQgvyfXiW77TAUzzYcOTtxqDSUux0YUjLRR4eAWoOropSgriMR9nJK/vyFyp170JmDQVGjFsWoczbTrOsA4jtd4Ff2irxsopRyvG4XKo0WAOH1YszdiNsUjeaYAAxgSmrPvIXLZRA+AZdH1jWk+kkGYanREkFRFC9+D33TNhiSOuAuy8W6bQlqYxh79+6lrNJGbkUJdpcbt9VC6fblGNv0x9x6MF57Ba6cLA7u/BN3s3QMOg3O8ATs+zfhdVSg8bpQGUPxavQ4yo5gatMfbVgcXqedis2/oChq7NkbCO1zNYqiIBQ1msT2WP5cjCk1A0NEPJZdq3Ad2oo5Ip6igkKatu1KWNPmCCEIKtzK6/97mqn/e4/DTiNeRU00ZTx09w089PpnJ7jgc3t/GxIZhKX6SgZhqdHyWgoxtx+GPq45wuNGn9AGQ5M2FH3/AqWlpWzdupWyhBj0kU0p3/EH+tb9UYxhKIqColJhatGdirXfUZ7QHJ1aQW/Q49JpSYmNQKNSyNfqqNy1ipAulyA8brz2ChS9CXOHoZQt+wC1OQyVRlc1VaatHHelBXVoLLaNP6KJS0YX2Yywi4Zh8FTgcHnYu2kpiUUHSdDZ+M/tV5OUlMT7LzxOYWEhLpeLuLg4FEUhLULPXqcDte6vSTNsB7dx0fAeAbzbkiSdCRmEpUbLrFPwRCWhaA2odApCCDwVxRijmpKTkwuJmYg9q3EIgdfjRlFrQVFQq1Qoag0etws0WryKGq0arA47Bq3K14NasZUhtGZUOiMAwuXEU1mKcFpR642odUaEy4mj+DD23asxJGegiUzG7qikNG8Xcd2uBAVUKjXNk+OxRl5CWuFy3pr+X78hVFFRUX7X9cS947njsefJNyajmCPQFO1hQFoI5/fre+5uriRJdUIGYanRsrtBi8BTWYKiqBDCC8KDWyhM/WIlebmHadq2K257GZVFByCxA4reBIoarSkIj6UET3khOCoxqwUFy78kbVBVRykhBM2at2THhlV4Oww6WuN1oxZuUtNSOJjlxlZ2APv+jTiLcwjpdimKWoP98A4QAoKiyV3wDuEZA2nSrAWgYAoKQWsN+dsxzBEREcx+9SnWrF3PgZxcencbS3x8/Dm4o5Ik1TUZhKVGS20MwZ2/B2NqR4RX4LFZQB+ESmsgquNAymMLObz9V1LbdqLtkGvYuWYp3tRuKLpoEOA+sgdRUUjBL69hjIviw6cfYsnqTew/uAejBh6ccBle98Xc+OzHKKk9CDYZaZKYiic/i6f/7yZ6dcnkkpv+j2yHBsVlw5l3CFfhAcyZQ6uWVqwspTxrOYVGPUnNW+OstJAWd/ygpNopikK3rp05/Vmh/520arlWjVQ/Nbgg/PrrrzN9+nTy8vLIyMjg1VdfpVu32n8UzZw5kxtvvNEvTa/XY7fbz0VRpQAzm02U5O+hNHc3+sS2uEtycZXmEdG+H1qNFte+9Vjtdnbt2IpW8aJxWNBvnkOZV4fd7sBZeoSQzKGEpveioryU6x59ldlP3c15ffsAVSsNPfniG0QbVRzevhinokJtENx3w2VcPHQQjzz7ChYXqIwhqAxBOPN2Y+54ISq1BuH1AoLgTsPI3fgTkdHRhB1awa3PPRzYm9ZIaRrm8GbpX6BBBeHPP/+cSZMmMWPGDLp3787LL7/MkCFDyMrKOuGMQSEhIWRlZfm+K3IO2X+NVjFG1jgSMCV3wJm/F01kIl6Xg0iznsI9f+I1hBDRrTeiogiTyYS64gi2rN+J73o5OdvWYmwfhzayKS5rBfqQSNR9x3LP06+z/qeqIPzOR5/y465KyhQT4XGRxLftjrCV4fV4mPr862zWtiFlUGsKv3wTj9OOUGlQFHVVL2a3E73RjNdlx1NeROTe+bz38jQ5Fl2S/mUaVBvNiy++yLhx47jxxhtJT09nxowZmEwm3n///RPuoygKcXFxvk9sbOw5LLEUSGFxycQ2bw/2CrShsWhMoYR3vIDy/Vso2LcDQ3ImisdFYnwsyU3iISSWIq8Zm2LCbS1DF9ccldaAy2EDQKXSYFGHYLPZEEIwY/bX5Fm9iJYDqIhpx6Zff+JQTi4/r9jInzkW9MHhqLV6ohPTKJ7/Oq6igwi3A+GoQI0HnSkYfVAowWFhXHPpcBmAzyKPN9AlkKTaNZgg7HQ6WbduHYMGDfKlqVQqBg0axMqVK0+4X0VFBcnJySQmJnLJJZewdevWc1FcqR4oKHfg8oIxPAZzZDyG0EjclWU4HHa8gNdlx6zyEBRkBsDhdCPUWlDAY7XgKsjG63EhULCWFuBxOXBWlHHPEy9x/YT7KA5OxZicicvtBX0Qpo7DKTiwi+UbtlNhd+G0lrNlwee4U3qQMPIBjE1aUbHhR3RGE3pzKEIIrFuXkByiZtgF5wf2ZjVyXjltpVRPNZjm6MLCQjweT42abGxsLDt27Kh1n1atWvH+++/ToUMHysrKeP755+nVqxdbt26ladOmte5TvX5sNYvFUncXIZ1Th/fvQcSdh0JVb2aN3gCeIPRl2STExmDVOomITQCOvqJwO3CV5pG3bDaaiKY4Cw9hy96ILjYVTVIHyvP3oTcEkZNwHrt3z4O4NjgcdlDrfIfQhCWgsULhvu0UbtuKruPFeNQGPBVlmNI6oS/IovDHl9CFxaFRvLSKD+OFh+/GYDCc6DKk03Ci51e+hpLqqwZTEz4TPXv2ZMyYMWRmZtKvXz+++uoroqOjeeutt064z7Rp0wgNDfV9EhMTz2GJpboUFhZG6eaF2J0OnG4PNmsl5Zt/ITOzI9989CYpZRuxHjkAgOXIYYpXzsFlKSSk26WY2/TFmNYJU5u+2LI3Ur7uO5x71xIWW/X/QWs0o9ObcFcUI9wOEAKP3YqjIBur3UVhiQWXxoTaHIn90HYq967FUXAAa3EeQSkdSOnYm1bNUrj2ksF0aNc2kLepUTnh8ytjsFRPNZggHBUVhVqtJj8/3y89Pz+fuLi4UzqGVqulY8eO7N69+4R5Jk+eTFlZme9z8ODBf1RuKXCsDieGmDQq1v+IZf0PWLcsxtSiB5WVFZhMJma++AR3dA2jffka9Fk/kdRpIObWfRBuF16bBbwe1IZgzG374zyyF3VIDNlb1rBq7gzcKj32nb+j1hlRPC5cZUfwOq2oNDpCe41G3/1KPGX5WNZ9gyY8DnOLXrjKCqhwuDG17EVks0wMmRfx8YpsNv25JdC3qtE40fMrZHO0VE81mOZonU5H586dWbRoESNHjgSqhogsWrSIiRMnntIxPB4Pf/75JxdeeOJF0PV6PXq9/oTbpYbDVVlGZeFhvIoKRaXGi0L5nvWIWEFlZSXl5eVcMOA8tu7KZl+pG4dSglpnQm0wU111EkcDscdpA2MIquAoiE4lPz8Pb/4exKEstE3b4XFYQXjRRiVzZPmXKGo1HhRMTdqgi2gCAgxpnXEXH0Yp2gdJTQAwpHVh9rfzyWjfLnA3qhE50fPrkYvFSfVUgwnCAJMmTWLs2LF06dKFbt268fLLL1NZWekbCzxmzBiaNGnCtGnTAHjiiSfo0aMHzZs3p7S0lOnTp7N//35uueWWQF6GdI4cOpyPiDJhbjsARaXGY6/AsvYblmeXMOr+53FqTGRv+I2YftdR6fJiLziMq7wIfXKHqgMoVQ1FFVsWEdz1MhyHthDS7TLfjFbu0iNU/vEpQY5CKs0JqHQmPA4rQZ2Go1apMNgqsO34FbXOgDo4CrxuDAktce1e6iujolLjdHlqlL24uBiv11tjykrpzMgYLNVXDSoIX3nllRQUFPDYY4+Rl5dHZmYmP//8s6+z1oEDB/ym/CspKWHcuHHk5eURHh5O586dWbFiBenp6YG6BOkccqImrP0FVTVbjRbFYCa0xyhKlrxPeXgLPJWleFsNorDcjkfRYW4/iLJV8yhd/inmNueBSo1t92ocebtQB0dibtkbRQiEx1NVUVapMLfuQ0KTeHb+sZDK8lLC+o/F67QBXvB6CMoYgm3rEsJiknBVlKJTq1CO+T9qzd3NBQM6+r4fOnSYR154ixy3CYA4tZUn/u8WUpKTzvHdkyTpXFCEkL8jnkz1ouBlZWVyHGcDE9xpOOHnj0NR//W7pnA7KFk6E0NYLHqvHacuBGdpDkEdhmLduw5jix4oKjW2fRvx2CvwlOaii0pCMQRjSGyP2hwGXg+KSsFtKcRVsA/b7j/wut3o4lsS3HF41aIMioK77AjqoAgqNv5EXMcBxEZHsvv3H4hrmkRkswych7fRMdTOs4/eh0qlwuv1cuUd/8Haaiiqo2UWXg+67T8y5/WnUavltE+nq/r5TbznCw68NCrQxZGkGhpUTViSTofX7fQLwACoNHgrS3HpjBCZiPB6EIoWl7UclTkMbVgcwuMiuP0gPA4rjkPbcBbuQyXAvn8DptZ9q94vO+0oehPO4kMEd7scV3EOzqIDoFLA6wXhRWUKxVNeiLeiiPKCw1Su/56HxwwnJMjMuo3L6X9BNy4cOtQ3fGbxkmVsOlCEOPIdeoOBJh36oDMFUxLWkt9X/kG/Pr0DcBclSTqbZBCWGi3hsuM4tBV9QuujKQqVW5cilKr3wzqdAWPTdjhLc6nc/ivm1n1BeEFU1UCF244+oSXW3atRVCDcHrxOO4aUTHA7cebsQBeVjNdmQR0UgV5v9h3H6xV4vV4s63/AbNAQa/Bi7jmMg4cPs+VgCSXGJqz7ZQef/PAbzz04AY1Gw2NvzMbTvB+6kCictnK2Lf2GVr2GoDIEU1BUEshbKUnSWSKDsNR4OSqxHdhCZdYKVDojXkclij4IvC7UIVGYWvREQaDXpeIq3I/9wGZ0MakgBF6XHZXOhDNvFyq9ibA+1+CtKELxuij5fTbq8HiC256PotPjdbuw799IULtB2A9vp3zdD6AouIoOEta+P+aktuSu+4YmGj3vLl5BXP9riQgNwWQyYfG4uf/Z12kaHUFwz9EU51cFW7UxGHPH4RzYsJjU+AgG9JkQ4JspSdLZIIOw1GhpVCCcNkK7XYbq6MQaZSu/wFV2hKhhd6MID1qNBq9KQ3C7gRT+8gb2A3/iLskBFITXhTNvD+Y2fdBoNKDTYd2/g9DeV+E4vANNWGzVGsUuB4rGQGXWcozNuqIJb4IrNwtX0X6CktsDYPfAzo0rCc68CJvazKGicsKsVmKiosjXxFG5Pxtdx56Em20UV1ag6M2g0mC3FHHJiM5ERkYG9mZKknRWyCAsNVoejYnI865HURSE14M2PIHwATdT+O2zKLZi9EHJKIqCChVulw1tZCKOfesxtemHJjQWRaWGtgOwrJqLtk1P1HodJSV5qOxW3OXFlPz2CYbUzugTWqEOCseatQLHoW0oGi262OYIIRBC4CzJRWgMaIK16IxmFBQUvZkyazkRbjdejR6t140LiIqMIMhsp7jMAkLQrlksE266LtC3UpKks0QGYanRUgdHVQVSQDm6qLvaFII6KJLggysgNByHR1C5aw224hxcBQfAEIQjJwtnzs6qYUktumFMyaRyz3oSU5qT43IQ1H0wKCq8Lju2nSsp3bkCr9OKKb0fhviW2PZvwl2aBy47eb+8iSYsAa/HRbBBg33vWoLaDQTAq9FRUWkl0nqQm64ayf8WbsKQnIHBYCDBYMB+YDM3Xj40YPdPkqSzTwZhqdHy2MoRLgdeZ9VsVqjUKBo9CC/dmsWyd/8SNm7NwtBuIObEDnhs5Uc7crVCF52Kq+gg5VsWE5baAbHmU/btWo6xwwi8DitqgxmNwYy53fm4V3yOoWkbglI6UP7nYjTRqehjmmHTGgnJHIzbUojWFIzK48Sx/lsqt/+KIbUzbmsp4uBW7rjlUi7o35cKq40vl/xCuVdHsMrJ1f27MHzwwEDfRkmSziIZhKVGy1l8GOvuVRhTOqKoNQi3E8vqeaA3sXjFGpyKjuAuF6OOTsXrtKOKCEEb0ZSKDT+gi05DF9kU5UgWke4Cjrhd2A0RhEQ2RQiBx2FFpdEiBHgdlWjC4hGWApxFh9BGNsFxYCNB6eehUhT0QWGo3FZUQZFowuJolt6BI7vWEV62h+9mzSA8PByAqy67iCsvHYHT6USn08mVfyTpX0AGYanRUuvNeGzlVGyej6LVVwVavQl3bhbFMamoNTqCo1IRKHi9HtRqLXjcqM3heB0WtMYQ3BoTWb9+hyatG4qjEq/ThkpnQtGb8FhLUavU4HZiWf89mtBYjM264bHbcOTuIqR5V3TaEIRGg0nrxe0qp9LtRJ2zmb7JRp6Y9KovAFdTFEXOXS5J/yIyCEuNliYonKD0fqgMQUdTBO6KEhw5WXjKi1BHJyNcdhS9GUWtRXhcVXNM28rxVFrA5cS6bxMuL4THtUABKrYsJrjjhVWTgKh12PZvRBuRiCYiHlOzrrhtFhQUdOHxlGz4mdj+1yPcDoKCTRgNehKi1HzyzCQ5J7QkSYAMwlIjpmh0xwRgAAWNORzh9WBq1QevzYJ15wqC2g9CpdXjsVmqJunwuFCHxVG5ZRG6hDYYdEbwuNHGpqGodVRsmo+iUuEsPIA5Lg2hVmFM64RwOcDrQajUoDcjgMr9fxIck0jBkVJKNi8kKjKKG6e8yhV9OzD2qssDdWskSaonZBCWGi2PvQKPvRJFVK9SpFStE+x2YkhqizVrOR6nC8vab1CbI3CX5eEqOozKEETFxp9xl+YS3OEC0Oio3LoUbUwqmrBYgjOHIDwenIvfIbRFF0p3rgaPB4/LhtocjvC4URQFTXAU6i0/YFFUWDUhmJp1pdxlZWeuhQ9/30Nm2y1yCUNJ+peTQVhqtLx2K2W/ziSowxA04fE4cndSuWUJHpcTx+EdmFv2wmO1YD+8DfvhbQS1HUhwl5FYtyzC1LoPzuJDVGxdRljvq1DUGsrXfoMmNLaqt7WjAo0xBINeizGhJZXbf8WU3h+Et2pcsseJUdgJad2dEo+emJa9fOVylR3hSNFOuY6wJEkyCEuNl6LRoI5IonTlF6i0BrwuG8ZW5+HdugjhtOEtzUEdEoO5zXl4KsuwZa+n7I8v0EY0pXLbMlxFB1GZwnCWHMbrdmJIzkCjN6MoEBybRPnC14kpWI87uDWlhfuo+HMR+iat8drKcR7aQli78yjKyUJ33GxX2tAYKvetxekKDdCdkSSpvpBBWGoU7HY7c779gW27D9AmLZHRI0fgddrxlBzGkNgWRaNDuBw4dv+BV0Bkh36IrKVoYpqQt2kRikqFqXVvQrpcjH3/RoTbRUivKyld9hHeihKC2g3EtmsV5TnbMSS0wrn5J7qmxXJx73YsWr6KwvJ8HPoQXMWH0JrDiO57FSqVmtLV3xDavDMeBApVQ468bidlB3ew1uzlkjum0DzGzCN3javRU1qSpMZPBmGpwSspKWHcf56hNLYzxsiurNmRwzf3TEFRadDFN8ecPuDo8oM2yj0uXLtXoXXbyc3ehji0Fw9qgjtfBICi1WFq3o2KzYsQtnJCe12J/cCfaCObYmrZE3VoDLbdq3BrdGQZ03npj2Iqdh0h6bxL2b15NcJhRZXQhoqCwzh3/oY5KAid14bdpuDVmlDUGgpXzCWs6yWEtu+AF4XtTjsTHnmOWa8+hUqlCvDdlCTpXJJPvNTgvfDWh1Q2G4gxMgEAY2QC1uaDUJtDMbcd6Ju6UqUzEtxpBGpjCO6iAzjKi8Echbnt+agMQShaQ1VtVaVBn9wBZ8F+NKGxCEclKp0RTXgs2rA4VKYwgjKHUrBpGc6wFFRtLiB/xzpUOhP6Jq2x7VlVFbgTO+B22IjP/4N4iglXrIhdvxIUEkabtu18NWO1zsCR4Ob8tnxlwO6hJEmBIWvCUoO390g5mlSTX5pGb0RtMGPPXoe7JPfoOGAn+ibpKBo9Ocu/RJeUiaLR4bGWoY1KqhpiBCC8eO3leOwVWFZ+gfC4qdiypOqdckonzC164Mzfi9fjBuFBExZHcVE+IT2vRhUciallb9QGM4pKTXlOFvHRUdwyqgsbtmQhktL4aEslO5d+hdMDCoKwiGhiWmSQtXc//fr2DsAdlCQpUGQQlho8vRrKa0l3Fh/G1Kq3r6kZoGLzL7jLi1FMQWgNJrSRidj2rsNTWYwhObNqrDAKFRt+RB3eBHP7QWjMYbgtRdiyfkcTGoNKb8KQ1BavoxJXSS6a6BS8HjeGiFjslhJUQREAKMKDMSKeLG8kZeUVTLj5eg4ePMi0WZMI6jsGk1oLQHnhAay/fUXvFx88F7dLkqR6pME1R7/++uukpKRgMBjo3r07q1evPmn+OXPm0Lp1awwGA+3bt+fHH388RyWVzpWhPTOx5WT5pdlzd6E2hqCNTAKPu2oSDY8bQ0onVBoNwb2uxpDYHm1EIsGdRiA8bspWf4k1azllv36EJqIp+rjmWLcurlqwwRiEud352HavRtEaEB4PphY9cB3Ziz17PXq9AVfBPlQ6IyoEeq0GvU6LylZMaFpHlvyxAYCfl/5OZOehVZOCIADQhMWhUqBZWuo5v3eSJAVWg6oJf/7550yaNIkZM2bQvXt3Xn75ZYYMGUJWVhYxMTE18q9YsYKrr76aadOmMWLECGbPns3IkSNZv3497drJ8Zn1WWFhIUt+X0lUeBh9evVg5eo17M7ej6W4mEW/LefPrdtwON2Eh4VgsVgotVTgcDhxO21VqyWp1BiTO3Doi49Qyn5FZw7DUXSE+JtfRW0ORxMciddhxbpzJYpGh6F5d9yWAowtemBuOwD7vo14HRWog6MpXvwe5vTz8JTlU7FlKbaDWzGmdUIb0YTSdT+geFyEmPRUrJiNrtNIdFHJlO7eivXgNszBoexZ/i1qdSHPvPg/lv2xHqvViNMrcGuM2ApzMEUn0iQ+mcLCQpo2bVqn9/HIkSMs+f0P4mOj6NOzR42OX/v372fF2o00S2pK1y6dGvWiEbd8uIYRHRJoHhNEkzAjYSZto75eqWFQhBAi0IU4Vd27d6dr16689tprAHi9XhITE7nzzjt56KGHauS/8sorqays5Pvvv/el9ejRg8zMTGbMmHFK57RYLISGhlJWVkZISEjdXIh0Um+8/wnfrMvGHdMGW8EhcjYsJiS9LyUuNRX7tyI8TgxJGVj3rsVVsA9T827o4ltiP7AZ5+EdBHUYjFetpfDThzA164I5Yyi6yETsB7dg27YI64FtmDOGoE9ojb5pW7y2MhwHtuB12QnOGILKGILX66b459cwteyBJjQW15F92PZvQhuVhCGxHQgv1j1rEU4bIV0uwWOzULFlMc4j2Rjim2Fq2Qs0Opw5O0GtQa014C7NwW0tx9iqF9Y/F6Jv2hZDSiaesiNUbP6Ffl3a8tHLT9XZvNIvvvkeP2/NxxvdCq+tlIiynbz88F00bdoEIQSPPPMyq3LdEJWGKC8kzrGfN558kNDQxjN+ufr57T71W4KCgtldUOnbZtSqSQgzkBBmJMykI0ivIdigwazTEGTQEKyv+jNIr8F8dFuQXoNRq8agVaPXqFCpZBCX/pnTrgnbbDbWrVtHREQE6enpftvsdjtffPEFY8aMqbMCVnM6naxbt47Jkyf70lQqFYMGDWLlytp7la5cuZJJkyb5pQ0ZMoSvv/66zssn1Y3tO7L4cmMeptYD0AHZa5eg63MTZZUWMGoI6dIM+4HNKBotmpAoTC17ootoAioN9uz1RAydiNdeScXGnzAltyNy+CTUxqr5o7UR8ehiUvH88DzG1E4YkjNQaQ0QGoM2MonS3z5GHRQBigr79pWE9RyNOiQa4XaiDonBXVFEcMcLUZtCEU4b6uAonDlZqAxmtFGJ6OJaULzgDUL7Xg9eD2pjKIYmbajc8Rv6hNaoQ6IxaPWUrfmakI4XYkjOqJqTOjweXVxzVix7lykvvcXrTz38j+/juvUb+WFXJaZW5x1NicUW14wp/3uX96ZP4avvfuSPighMLZpVbQ6PpdiRxpMvv83zU+7/x+evb/q1jGZktxZYbC4KKhwUVjgoqnBSUOGguMJJdkEFNpcHm8uD3enF6nJjd3n/9rg6tQq9VoVBq8agUaHXqNFrVb5AXfVR+YK277vmaCA/+ne99q99Dcf8adCq0Fcf++ifGnWDe4soncRpBeGdO3cyePBgDhw4gKIo9OnTh88++4z4+HgAysrKuPHGG89KEC4sLMTj8RAbG+uXHhsby44dO2rdJy8vr9b8eXl5JzyPw+HA4XD4vlssln9Qaul0ff7dLxhSOwPgcdpxa0wobhdeRY2iM4GioE/OoGLTLwi3E21oLCgqvNZSVMZgVDoTnrICFL0JTWSyLwBX08c3RxuVjCGtM8JeAVoDXocV4fWgi0nF63Kg0urxWi2og6NQ6Yx4PC681lL0Ca3A4wJA0RlR1BoMqZ1w7N+IKb0/XmsJxqT24HFXrbKEAEWNsVl3rFm/Y253PpWbfkGl0aNPal9VIEUBIVCbQlDMUew6YsXtdqPR/LM3RXN/WowxubNfmkqt4ZBVRXl5OYtWbcYU19dvu0ZvZGd2bV3cGo6/e35DjFpCjFqaRQcdv2sNHq/AfjQw25xVf1qdHpxuL06Pt+pPtxeX55jvHi8u919/r3S4fdtdHvFXfrcXx9G/u72n1xipVpSjQbsqqIcYtISZtISbdIQaq/4epNfg8ladb1CbGLqkRJzWOaRz57Se9AcffJB27dqxdu1aSktLueeee+jduzdLly4lKSnpbJXxnJo2bRqPP/54oIvxr6VWqfB/Q1LLDyhRNfvUX1uUqs/R/TwVxWgjk3BaCmo9hxACRVHjdTvx2MqPBkIvwusBRcFVkour5DCKzohAoKg0KKiqinLc2xshvKAcrZkoSlXZj2+hFN6/ko55B6lUX51S9TchBIqKOnlPqRwty/FHUo5uU3z3wT+H0mBeTtWuLp9ftUrBfLQp+mwQQuARArurKlhXOtxUONxUOjxVfzqPptmr/u63zeGmxOoCXOSW2U96nhnL9rDvmeFn5Rqkf+60/netWLGChQsXEhUVRVRUFN999x0TJkygb9++LFmyBLPZfLbKSVRUFGq1mvz8fL/0/Px84uLiat0nLi7utPIDTJ482a8J22KxkJiY+A9KLp2Oqy8ZxtKX52Bq1Qe1zoDW60Cl0aByWPE6K1H0Qdiz16Nr0hpHzk7cxTloo5JQmULx2MrxOipRB0fg3LcJV2E27soyNOa/3nHaD23HXbgfa9bvGFIyAVAbQxBuJ/b9mxFOBypzCLq4lngqilDpTFW1XmMIjh2/oo1JRnhcCLcL4XHjOPAnprQuAKgModgP/ImxRXfwHm3KFF5su/5An5KBPXs92uhUrNkbsWevx5jWpeoXCpUat7UMlbWIVjEdUavV//g+XnnRBax6dz6m5t18aR6Xk6QgCAoKYmjfLvxv6U6MTVr5trtslWQmNOz3wXX1/Lq9XuxOL3a3B7ur+uOtaq4+5ruvluuupbbrqfrT5fHicgvf92Nr0qdTCVYpoD/aRB1u1mHwNW9XfUKNGmKCDcQE64kO1hMVpMekU9MiNvi0r186d04rCNtsNr9mMkVRePPNN5k4cSL9+vVj9uzZdV7Aajqdjs6dO7No0SJGjhwJVHXMWrRoERMnTqx1n549e7Jo0SLuueceX9qCBQvo2bPnCc+j1+vR6/V1WXTpNDRv3ozrejVjzu8LsYY1I65pCrnL3ye8ZU8KnQpl+7eCEOhVGtwlOVj3rMaY3AF9XEtAoeinVzC3HYDHZsF2cDtFP7yIue35aKOTse/fjH3XchzFuShbluAs2I8huQN43dgPbEVRaXAe2YOpdV8UjY6y5Z+iS2iFNioZ15G9eGzlWP6YizG1EygqrLv+ACHQRiXhzd9N5Y7f8FgKKVv+Gca0TqCocebsQNEZse9ahae8ALe1jJB251O+ZTGugv0YUjJxl+Zi3/Ebg3t15ol7x9fJfcxo344rMjfxzdrFOMKbodjLiLUf5MlH7wFgxJBBbNz2Br9l/YorPAVVZSHJSiGPPP5AnZw/UP7u+S0ot3Ow2EaJzUlJpYtSq5MSq5Mym4tyuxv70Sbnv2siVisKJp3a9z64umn4ryZiDQad2hc09ce89zXU8ufx74h975F975vVaNWK7M3dCJ1W7+hu3bpx5513cv3119fYNnHiRGbNmoXFYsHj8dSy9z/3+eefM3bsWN566y26devGyy+/zBdffMGOHTuIjY1lzJgxNGnShGnTpgFVNfd+/frxzDPPMHz4cD777DOefvrp0xqiJHtHB4bFYmHl6rVEhIeR2aE9H836jPm/rsBs0ONyWvnup0W41QYMweE4LMXYKkpQgqJwWwrA5QSVgjYkGn1MKhWbFqINCcFlKcbQrBv2osNgLQFx9AeaoqCoQKvTAWrUKgWdVo03tAn62DSESospKR2NIYjChe8QrHIy4sKhXDv6ct794GN27N5DZFgY7du35+ax11BYVMLCxUvIyc8nKjycZs3SMBgMWK2VhIeHs2fvPsJCgwk2m5j3w3ySmsQz5tqrad+ubZ3/kC0tLWXl6nXERkfSMTOjxvGPHDnC2g2bSU1qSps2rev03PVB9fPb9qGvCAkNIae0qulWpUBkkJ6YYD2xIQZiQ/REmHVVzc86DSadmiC9BpNeQ5BejUlX1TPapFNj1mvQa1QyIEp14rSC8LRp0/jtt99OOOHFhAkTmDFjBl7v3/cqPFOvvfYa06dPJy8vj8zMTF555RW6d+8OQP/+/UlJSWHmzJm+/HPmzOGRRx5h3759tGjRgueee44LL7zwlM8ng3Bgeb1e7n7kaba5YzA2aY2zohTNvhUkhajZG9mDvavm49KHUZr1B0IfTEiPUaiNwRQv/QCPpYCIC25HEeLo+1ovwmGlaMFbXDDpf75zOLN+Zc7TE2v8+27Y9CfPfzCHAo8RjddJm2gjTz4wEZPJdHwxpXqq+vlNvOcLrurdkvNbx5KZGEZUkE72MpbqhQY1TjgQZBAOrG9++JlXVuRj00VQbrUjAJNeTVrRav7ctgN7h8vwVFooXP0NIV0uQRudAkD5hh9xFe4n4oLb/3o/C6AoFHw9jYF3Tv8rbcdCvnzpP+h0ulrLUFJSgl6vl8G3ATo2CB94aVSgiyNJNTSoGbOkf5+la/6kRKRSafei0lV1MCkoOEj26g3oceJc/yPCHIUmNAbbvs2oTOEoOh2u4kN4HVY8VguKoqJquJAKr9OGx271Hd9pKaR7UvgJAzAg1/mVJOmskUFYqteE20mF3YXaXDWu05L1B26XA0O30QgUlPy9CGclIR2H43HYqNy+DLweQrqOpHzDz7iKDqKPb4GiUiM8bux71+J1O3Hs/B2dx0a35AgenTQhwFcpSdK/lQzCUr3WtW0z5n62huAOF+BxVOKsKMHcbiDu8iJQqdA1Tad80y+o8/egjW2GcNlRmSOq5n52WnEVHcRVdAi1KRR3aR7oTKjUKr548nZMJtNJa8CSJElnmwzCUr02oN95RH2xlJKN3+OwO9DGtcJbWYzKGIyi0YOiYG5zHpY13xJsDsNTXoTHYUVjDkWtN2Fq2fPomF4Putg0EF7s2esICwsL9KVJkiTJICzVbwkJCQzMSGWzqhmlh/ZyxAFelQaVWlM10ZSi4LWVY2rWBffBzajw4CrNJaTDBdiy16M2hYHw4rGWVQ1F0hnBaQv0ZUmSJAENcD1h6d/nmYcnMSSyhGamSlR7fkd4XKjUWvB6ER4X9gObMCS1w5W/h2CDFl1MKprweNTmcJy5u/HaquZDFi4Htl2rQSX/20uSVD/ImrBU72m1Wu67YxwABw8eImP4GLTNugMK7tJczKkdEaU56FWCtPMuY9eevQiXA8UcTuXO5WhColDpzXgshbgrSxBncRy7JEnS6ZBBWGpQEhObMrBbO5YfKsHYshe6dufhKivAtv4bmrbtiikiDu3ObaiFG2fODsL7jUF43HgqS1G0eoTbSeE3zwb6MqRzTC77K9VXsl1OanDeef4JusapYcci7OvmYdy9iBuH9yIxzIDWFEyQToViK0NRaxAeT9UiCQpVqxkJgS40OtCXIJ1jWo38USfVT7ImLDU4YWFhfP3Ba6zfuIn9Bw/Ts2sn4uPjeX/2HD7duJW0XsM5uG4x+Xm7EY5KAFTGEBS1FuFxg0t2zPq30allVViqn2QQlhokRVHo3DGTzh0zfWk3XTOKiNBf+G7Zr4REqdnrdePIycLYvNvR9XO9VGz6hdbNUwNWbikwdHKeaKmekkFYalRGDh/CyOFD2Lj5T35dtQ6H14Nl9ZcoGj3CaceckMbIbpmBLqZ0jqllj3ipnpJBWGqUZs79kbTzLiN7yzq0GYNBpULldeNd/yV33Ph+oIsnnWNq2TNLqqdkEJYapXKnl9AmabQ0mjn85x94PB70RiPJbVrJ2bIkSao3ZBCWAkYIQX5+PjqdjoiIiDo9dlJUMDkOK6bwWFqcd4nvfPGHl9bpeSRJkv4JGYSlgNiybQdPz/iEI4SgEh6S9A6eeWgiUVFRdXL8O2+6hvUPPYu9WX90pmA8TgfenUu4665r6uT4kiRJdUH2VpDOOZvNxkMvz8TSbDDGFr3Qt+xLTkJf/u/Jl+vsHBEREcx89iEGGA+QeGQ5nVx/8vbDt9G+bXqdnUNqOBT5Sliqp2RNWDrnvvt5Afb4jhiP6bGq1uo5TCR79+4lLS2tTs4THh7OQ3fdVifHkho2IQJdAkmqnawJS+dcYXEZamNwjXS3zkxZWVkASiRJkhQYMghL59yw8/viObylRnpY5UHS02VzsSRJ/x4NJggXFxdz7bXXEhISQlhYGDfffDMVFRUn3ad///4oiuL3uf32289RiaUTSU1N4YKWYVTuWYPX48bjtGPbvpQxQ3ui1+sDXTypEZLvhKX6qsG8E7722mvJzc1lwYIFuFwubrzxRm699VZmz5590v3GjRvHE0884ftuMpnOdlGlU/Dgnbcy9M8tfPnjIgx6HddPHktiYmKgiyU1UnKyDqm+ahBBePv27fz888+sWbOGLl26APDqq69y4YUX8vzzz5OQkHDCfU0mE3FxceeqqNJpyGjfjoz27QJdDOlf4M7zWwS6CJJUqwbRHL1y5UrCwsJ8ARhg0KBBqFQqVq1addJ9Z82aRVRUFO3atWPy5MlYrdaT5nc4HFgsFr+PJEkNw4me3wvbxwe4ZJJUuwZRE87LyyMmJsYvTaPREBERQV5e3gn3u+aaa0hOTiYhIYHNmzfz4IMPkpWVxVdffXXCfaZNm8bjjz9eZ2WXJOnckc+v1NAEtCb80EMP1eg4dfxnx44dZ3z8W2+9lSFDhtC+fXuuvfZaPvroI+bNm8eePXtOuM/kyZMpKyvzfQ4ePHjG55ck6dySz6/U0AS0Jnzvvfdyww03nDRPWloacXFxHDlyxC/d7XZTXFx8Wu97u3fvDsDu3btp1qxZrXn0er3soStJDZR8fqWGJqBBODo6mujo6L/N17NnT0pLS1m3bh2dO3cGYPHixXi9Xl9gPRUbN24EID5evh+SJEmSAq9BdMxq06YNQ4cOZdy4caxevZrly5czceJErrrqKl/P6MOHD9O6dWtWr14NwJ49e3jyySdZt24d+/bt49tvv2XMmDGcd955dOjQIZCXI0mSJElAAwnCUNXLuXXr1gwcOJALL7yQPn368Pbbb/u2u1wusrKyfL2fdTodCxcuZPDgwbRu3Zp7772Xyy+/nO+++y5QlyBJkiRJfhQh5NTmJ2OxWAgNDaWsrIyQkJBAF0eSpNMgn1+pvmswNWFJkiRJamxkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICRAZhSZIkSQoQGYQlSZIkKUBkEJYkSZKkAJFBWJIkSZICpMEE4aeeeopevXphMpkICws7pX2EEDz22GPEx8djNBoZNGgQu3btOrsFlSRJkqRT1GCCsNPpZNSoUYwfP/6U93nuued45ZVXmDFjBqtWrcJsNjNkyBDsdvtZLKkkSZIknRpFCCECXYjTMXPmTO655x5KS0tPmk8IQUJCAvfeey/33XcfAGVlZcTGxjJz5kyuuuqqUzqfxWIhNDSUsrIyQkJC/mnxJUk6h+TzK9V3DaYmfLqys7PJy8tj0KBBvrTQ0FC6d+/OypUrT7ifw+HAYrH4fSRJahjk8ys1NI02COfl5QEQGxvrlx4bG+vbVptp06YRGhrq+yQmJp7VckqSVHfk8ys1NAENwg899BCKopz0s2PHjnNapsmTJ1NWVub7HDx48JyeX5KkMyefX6mh0QTy5Pfeey833HDDSfOkpaWd0bHj4uIAyM/PJz4+3peen59PZmbmCffT6/Xo9fozOqckSYEln1+poQloEI6OjiY6OvqsHDs1NZW4uDgWLVrkC7oWi4VVq1adVg9rSZIkSTpbGsw74QMHDrBx40YOHDiAx+Nh48aNbNy4kYqKCl+e1q1bM2/ePAAUReH/27u/kLrrP47jr6N1jhvTM2zHLcnjtEEGhQzbHy1CaUy9WMlM6Codo8ZwgzOjkF1MRhsSDRYs+wfh8WYUXbhqF8Ew/9wohXHoDymc2jil6Mw6RzzROaKni9j5/dw8zh2PfvyePR9wYN8/n33fH8Znr++/cz4ej0fnzp3TF198oR9++EEvv/yy8vPzVVdXZ6gXAAD8j9Er4Xtx5swZdXV1xZd3794tSert7VVlZaUkaXR0VKFQKL7PG2+8oXA4rFdffVXBYFDPPPOMvvrqK2VlZa1r7QAALMVy3xNeb3zPELAuxi82OsvcjgYAIN0QwgAAGEIIAwBgCCEMAIAhhDAAAIYQwgAAGEIIAwBgCCEMAIAhhDAAAIYQwgAAGEIIAwBgCCEMAIAhhDAAAIYQwgAAGEIIAwBgCCEMAIAhhDAAAIYQwgAAGEIIAwBgiGVC+Pz586qoqNDmzZu1devWFbVpamqSzWZb9KmpqVnbQgEAWKEHTBewUtFoVA0NDSovL9fHH3+84nY1NTXq7OyMLzscjrUoDwCAe2aZED579qwkyev13lM7h8OhHTt2rEFFAACsjmVuRyerr69PeXl5euyxx3T8+HFNT0+bLgkAAEkWuhJORk1NjQ4fPqyioiL98ssvOn36tGprazU4OKjMzMwl20QiEUUikfjyzMzMepULYJUYv7Aao1fCra2td7w4dftnZGQk6b//pZde0vPPP68nn3xSdXV1unr1qr799lv19fUlbNPe3i6n0xn/FBQUJH18AOuL8QurscVisZipg09NTd319nBxcbHsdnt82ev1yuPxKBgMJnVMl8ulc+fO6dixY0tuX+pMuqCgQKFQSDk5OUkdE8D6YPzCaozejna5XHK5XOt2vN9//13T09N6+OGHE+7jcDh4gxqwKMYvrMYyL2YFAgH5fD4FAgHNz8/L5/PJ5/NpdnY2vk9JSYm6u7slSbOzs3r99dc1NDSkGzduqKenRy+88IJ27dql6upqU90AACDOMi9mnTlzRl1dXfHl3bt3S5J6e3tVWVkpSRodHVUoFJIkZWZm6vvvv1dXV5eCwaDy8/N18OBBvfnmm5wpAwA2BKPPhK1gZmZGTqeTZ0qABTF+sdFZ5nY0AADphhAGAMAQQhgAAEMIYQAADCGEAQAwhBAGAMAQQhgAAEMIYQAADCGEAQAwhBAGAMAQQhgAAEMIYQAADCGEAQAwhBAGAMAQQhgAAEMIYQAADCGEAQAwhBAGAMAQQhgAAEMsEcI3btzQ0aNHVVRUpE2bNunRRx9VW1ubotHosu3++ecfNTc366GHHtKWLVtUX1+vycnJdaoaAIDlWSKER0ZGtLCwoA8//FA//fSTLl68qA8++ECnT59ett2pU6f05Zdf6rPPPlN/f7/Gx8d1+PDhdaoaAIDl2WKxWMx0Ecl4++239f777+vXX39dcnsoFJLL5dLly5f14osvSvovzB9//HENDg5q//79KzrOzMyMnE6nQqGQcnJyUlY/gLXH+MVGZ4kr4aWEQiHl5uYm3D48PKy5uTkdOHAgvq6kpERut1uDg4PrUSIAAMt6wHQByfD7/bp06ZIuXLiQcJ+JiQnZ7XZt3bp10frt27drYmIiYbtIJKJIJBJfDoVCkv47owZgXnZ2tmw225Lbbh+/jFtsdEZDuLW1VW+99day+/z8888qKSmJL4+NjammpkYNDQ165ZVXUl5Te3u7zp49e8f6goKClB8LwL27efOmXC7XktsSjV9gozL6THhqakrT09PL7lNcXCy73S5JGh8fV2Vlpfbv3y+v16uMjMR307/++ms999xz+uuvvxZdDRcWFsrj8ejUqVNLtrv9TDoYDKqwsFCBQEBOp/MeemcdMzMzKigo0G+//ZaWz83SvX/S/dXHYDCYcCzePn5jsZii0ai2bduW8OoZMMnolbDL5Up4Rnu7sbExVVVVqaysTJ2dncsGsCSVlZXpwQcfVE9Pj+rr6yVJo6OjCgQCKi8vT9jO4XDI4XDcsd7pdKbtf2635OTkpHUf071/0v3Rx+XCNNH4BTYqS7yYNTY2psrKSrndbl24cEFTU1OamJhY9Gx3bGxMJSUl+uabbyT9F5pHjx5VS0uLent7NTw8rCNHjqi8vHzFb0YDALCWLPFi1rVr1+T3++X3+/XII48s2nbrbvrc3JxGR0f1999/x7ddvHhRGRkZqq+vVyQSUXV1td577711rR0AgEQsEcJNTU1qampadp+dO3fq9sfbWVlZ6ujoUEdHR9LHdjgcamtrS+tbXOnex3Tvn0QfAauy7I91AABgdZZ4JgwAQDoihAEAMIQQBgDAEEJ4hZKdTtFqzp8/r4qKCm3evPmOn/y0qo6ODu3cuVNZWVnat29f/Gts6WBgYECHDh1Sfn6+bDabrly5YrqklGtvb9eePXuUnZ2tvLw81dXVaXR01HRZQEoQwiuU7HSKVhONRtXQ0KDjx4+bLiUlPv30U7W0tKitrU3fffedSktLVV1drZs3b5ouLSXC4bBKS0tX9Q2Aja6/v1/Nzc0aGhrStWvXNDc3p4MHDyocDpsuDVg13o5ehbtNp2hlXq9XHo9HwWDQdCmrsm/fPu3Zs0fvvvuuJGlhYUEFBQU6efKkWltbDVeXWjabTd3d3aqrqzNdypqamppSXl6e+vv79eyzz5ouB1gVroRX4W7TKcKsaDSq4eHhRdNZZmRk6MCBA0xnaWG3ZjZj7CEdEMJJujWd4rFjx0yXggT++OMPzc/Pa/v27YvW3206S2xcCwsL8ng8evrpp/XEE0+YLgdYtfs+hFtbW2Wz2Zb9jIyMLGqz1tMpployfQQ2oubmZv3444/65JNPTJcCpIQlfrZyLb322mt3/UnM4uLi+J/Hx8dVVVWliooKffTRR2tcXWrcax/TxbZt25SZmanJyclF6ycnJ7Vjxw5DVSFZJ06c0NWrVzUwMHDHb8gDVnXfh/BaTqe4UdxLH9OJ3W5XWVmZenp64i8rLSwsqKenRydOnDBbHFYsFovp5MmT6u7uVl9fn4qKikyXBKTMfR/CK3VrOsXCwsL4dIq3pNNVVSAQ0J9//qlAIKD5+Xn5fD5J0q5du7RlyxazxSWhpaVFjY2Neuqpp7R371698847CofDOnLkiOnSUmJ2dlZ+vz++fP36dfl8PuXm5srtdhusLHWam5t1+fJlff7558rOzo4/z3c6ndq0aZPh6oBVimFFOjs7Y5KW/KSTxsbGJfvY29trurSkXbp0KeZ2u2N2uz22d+/e2NDQkOmSUqa3t3fJf6/GxkbTpaVMonHX2dlpujRg1fieMAAAhljjoSYAAGmIEAYAwBBCGAAAQwhhAAAMIYQBADCEEAYAwBBCGAAAQwhhAAAMIYQBADCEEEZaGxgY0KFDh5Sfny+bzaYrV66YLgkA4ghhpLVwOKzS0lJ1dHSYLgUA7sAsSkhrtbW1qq2tNV0GACyJK2EAAAwhhAEAMIQQBgDAEEIYAABDCGEAAAzh7WiktdnZWfn9/vjy9evX5fP5lJubK7fbbbAyAJBssVgsZroIYK309fWpqqrqjvWNjY3yer3rXxAA/B9CGAAAQ3gmDACAIYQwAACGEMIAABhCCAMAYAghDACAIYQwAACGEMIAABhCCAMAYAghDACAIYQwAACGEMIAABhCCAMAYMi/hi/3fp/kVJIAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=0.00016, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=0.00032, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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cv369VPOMjY0VI0eOFI6OjsLAwEDUrFlT9OrVS/z555+FLv/524mevQXtWYGBgcLU1FSrDc/doiSEEDdu3BBDhgwRVlZWQqlUCldXVzFu3DjpNrAX3Zr29ddfCzc3N2FgYCBsbGzEmDFjxKNHj7T6FPaUq+L8nT3v+VuUFAqFsLS0FL169RKnT5+W+vXs2VMYGRkV+hhLIYQYOnSoMDAwEPfv3xdC/PtdFvR5/nsj0nUKIcrwqhEqVN4DFRITE1GzZk25y9FZoaGhGDZsGE6ePFngLT1ERLqE54SJiIhkwnPClURqauoLz6VaWVkVeosJ/Ss9Pb3Ai8meZWlpWez7if9LEhMTi3x4hqGhYYkfikJEhWMIVxJffPEF5syZU2Sf2NhY6QUKVLhNmzZh2LBhRfYJDw/ne2oL0KpVqwIfrJLH29sbBw4cqLiCiKo4nhOuJK5du/bCRwe2b99e66pnKtjdu3dx4cKFIvu0aNFC601M9NSRI0e0HqzyPAsLC7Ro0aICKyKq2hjCREQyGjp0KNasWYPg4GDp1i4A2LFjB15//fUyfeIaVT68MIuISGZGRkZYsGBBkc8Zp6qJIUxE9I+zf/2NsR/Ow6DJn2BM0Kc4+9ffFbJcPz8/2NraIjg4uNA+W7duRaNGjaBUKuHs7Cy9ICOPs7Mz5s+fj3feeQdmZmZwdHTEypUrpfFZWVkYP3487OzsYGRkBCcnJ2l577zzDnr06KE1v+zsbFhbW2PVqlUAAB8fH7z33nv44IMPYGlpCVtbW+mFK3ni4uLQu3dvVK9eHSqVCv3790dCQoI0fvbs2WjatCnWrVsHZ2dnqNVqDBw4UHpRytq1a1GjRg1kZmZqzTcgIABvv/221jy+//57ODo6onr16hg7dixyc3Px+eefw9bWFtbW1pg3b16Jast7Fv6zJk2apHXtyJYtW9CkSRMYGxujRo0a8PPzk97rXVoMYSIiPA3gaSu2I86mA1JdfHHTtiOmrdheIUGsr6+P+fPnY+nSpdKz1Z91+vRp9O/fHwMHDsTff/+N2bNnY8aMGQgNDdXqt2jRIrRs2RJnz57F2LFjMWbMGMTExAAAlixZgp07d+Knn35CTEwM1q9fL13oOWLECOzZs0fr0ba7d+/GkydPpCeZAU/fnGZqaorjx4/j888/x9y5c6XnvGs0GvTu3RsPHz7EwYMHsW/fPly7dk1regC4evUqduzYgd27d2P37t04ePAgPvvsMwBAv379kJubq/UY03v37uGXX37BO++8ozWP3377DXv27MGPP/6IVatWoXv37rh16xYOHjyIBQsW4OOPP8bx48dLVFtR7t69i0GDBuGdd95BVFQUDhw4gDfeeOPlTxfI95wQIiorGRkZYtiwYcLBwUGYmZkJT09PcfToUbnL0iljgj4V3RcfFD2W/Cl9ui8+KMYEfVquyw0MDBS9e/cWQgjRpk0b8c477wghhNi+fbv0ZLnBgweLV199VWu6qVOnCnd3d2nYyclJvPXWW9KwRqMR1tbWYvny5UIIISZMmCA6deokNBpNgXW4u7uLBQsWSMM9e/YUQ4cOlYa9vb1F+/bttaZp1aqVmDZtmhBCiL179wp9fX0RFxcnjb9w4YIAIE6cOCGEePo0NBMTE60n+02dOlV4enpKw2PGjBHdunWThhctWiRcXV2luguah7+/v3B2dha5ublSW4MGDURwcHCxa3v27yHPxIkThbe3txBCiNOnTwsApX4yX2G4J0xUBeTk5MDZ2RmHDx9GUlISJk2ahJ49e1bIc7yrikcZGij0tP9JVOjp4VGGpsJqWLBgAdasWYOoqCit9qioqHxvI2vXrh0uX76sdV/3K6+8Iv1ZoVDA1tYW9+7dA/D0cGtkZCQaNGiA9957D3v37tWa34gRI7B69WoAQEJCAn777Tetvc/n5w88feVo3vyjoqLg4OCg9U5td3d3mJuba62Ps7Oz1vu5n50HAIwcORJ79+7F7du3ATx9St7QoUO13tb2/DxsbGzg7u4OvWf+/mxsbEpcW1E8PDzQuXNnNGnSBP369cO3335bJufwGcJEVYCpqSlmzpwJR0dH6OnpYeDAgTA0NJQORdKLWRjpQWi0A1doNLAwqrh/Jjt27Ah/f38EBQWVanoDAwOtYYVCIb1TvHnz5oiNjcUnn3yC9PR09O/fH3379pX6DhkyBNeuXUNERAR++OEHuLi4oEOHDsWef1nUCADNmjWDh4cH1q5di9OnT+PChQv53iVe0DxetjY9Pb18h5azs7OlP+vr62Pfvn347bff4O7ujqVLl6JBgwaIjY0t9jIKXO5LTU2kAzIzMzFt2jTY29vD2NgYnp6e+d5XXJjLly9j4MCBqF27NkxMTODm5oa5c+fiyZMnRU43b948KBQKNG7c+KVq//3336FQKKSPgYEB6tati9mzZyMrK6vIuh8+fIi6deu+1PLzlPY7zNuDKeyTt7dTGYwc0AtZ0QekIBYaDbKiD2DkgILfAFVePvvsM+zatUvrtaANGzbEkSNHtPodOXIE9evXL9FT9FQqFQYMGIBvv/0WmzZtwtatW/Hw4UMAT98qFhAQgNWrV0vPaC+Jhg0b4ubNm7h586bUdvHiRSQlJcHd3b1E8xoxYgRCQ0OxevVq+Pn5ae3BlkZxarOyssr3utfIyEitYYVCgXbt2mHOnDk4e/YsDA0NsX379peqjU/Moipv6NCh2LJlCyZNmoR69eohNDQUr732GsLDw9G+fftCp7t58yZat24NtVqN8ePHw9LSEhEREZg1axZOnz6Nn3/+ucDpbt26hfnz58PU1PSla897zeSXX34JKysrPHnyBJs3b8acOXOQmZlZ4NW06enpeOuttxAUFAS1Wv3SNQCl/w7fffdd+Pn5abUJITB69Gg4OzujVq1aZVJfWWjm0QQLRgPfbtqJRxlP94BHjn4dzTyaVGgdTZo0wZtvvoklS5ZIbVOmTEGrVq3wySefYMCAAYiIiMDXX3+NZcuWFXu+X375Jezs7NCsWTPo6elh8+bNsLW11XpV5ogRI9CjRw/k5uYiMDCwRHX7+flJtS9evBg5OTkYO3YsvL29S/yylcGDB+P999/Ht99+i7Vr15Zo2tLW1qlTJyxcuBBr166Fl5cXfvjhB5w/fx7NmjUD8PR96WFhYejSpQusra1x/PhxJCYmomHDhi9XXJmeYaYqKzU1Ve4SSuX48eMCgFi4cKHUlp6eLurUqSO8vLyKnHbevHkCgDh//rxW+5AhQwQA8fDhwwKnGzBggOjUqVOhrw4siTfffFMYGRmJnJwcqS0zM1PY2toKFxeXfP2zsrJE9+7dxeDBgwu9AKekXuY7LMiff/4pAIh58+aVSX26rqALgmJjY4WhoaHWKz+3bNki3N3dhYGBgXB0dNT6+xDi6YVZX331lVabh4eH9PrHlStXiqZNmwpTU1OhUqlE586dxZkzZ7T6azQa4eTkJF577bV8dXp7e4uJEydqtfXu3VsEBgZKwzdu3BC9evUSpqamwszMTPTr10/Ex8dL42fNmiU8PDy05vHVV18V+CrNt99+W1haWoqMjAyt9oLmUdB3+Hy9L6pNCCFmzpwpbGxshFqtFv/73//E+PHjpQuzLl68KPz9/aXXjdavX18sXbo0X90lxRCuxPLeqxoVFSX69esnzMzMhKWlpXjvvfdEenq6Vt9bt26JYcOGCWtra2FoaCjc3d3FqlWrtPpcv35djBkzRtSvX18YGRkJS0tL0bdvXxEbG1vgci9cuCAGDRokzM3NRdOmTYUQQqSkpIiJEycKJycnYWhoKKysrISfn5/WO2SFEOLMmTOia9euwszMTJiamopOnTqJiIiIApdz+fJlERgYKNRqtVCpVGLo0KFFvn+2JKZOnSr09fVFcnKyVvv8+fMFAK2rJZ83bdq0At8RPG3aNKGnp1fgD5ODBw8KfX19ce7cuTIJ4caNG4sWLVrka2/evLmwtLTUasvNzRUDBgwQPXr0ENnZ2S+13Ge9zHdYkDFjxgiFQpHv/zuS3+PHj4VKpRJbt26VuxTRqVMnMWHCBLnLKHc8HK0D+vfvD2dnZwQHB+PYsWNYsmQJHj16JB2mSUhIQJs2baBQKDB+/HhYWVnht99+w/Dhw5GSkoJJkyYBAE6ePImjR49K5zivX7+O5cuXw8fHBxcvXoSJiYnWcvv164d69eph/vz50gULo0ePxpYtWzB+/Hi4u7vjwYMHOHz4MKKiotC8eXMAwIULF9ChQweoVCp88MEHMDAwwDfffAMfHx8cPHgQnp6e+dbPxcUFwcHBOHPmDL777jtYW1tjwYIFUp/s7OwXvhkpj6WlpXSV5NmzZ1G/fn2oVCqtPq1btwbw9JxPYeebfHx8sGDBAgwfPhxz5sxBjRo1cPToUSxfvhzvvfdevsPNubm5mDBhAkaMGIEmTV7+EGZWVhZiYmKkhxTkuXPnDi5evAhvb2+t9nfffRd3797F77//jmrV8m/acnyHBdXw008/oW3btnwZSSWi0Whw//59LFq0CObm5ujVq2LPgz/r0aNHOHDgAA4cOFCiw+06S+5fAVS4vD3FXr16abWPHTtWABB//fWXEEKI4cOHCzs7O3H//n2tfgMHDhRqtVo8efJECCGk/z4rIiJCABBr167Nt9xBgwbl669Wq8W4ceOKrDsgIEAYGhqKq1evSm137twRZmZmomPHjvmWk3dfZJ7XX39d1KhRQ6stPDxcACjW59k9rEaNGolOnTrlqzHvHsEVK1YUuS6ffPKJMDY21pr/Rx99VGDfr7/+WqjVanHv3j0hhHjpPeGzZ88KAOKTTz4RiYmJ4s6dO2LPnj3Cw8NDmJqaipMnT0p9r1+/LgAIIyMjYWpqKn0OHTok9ZHrO3zWrl27BACxbNmy0n0pVC5iY2MFAFG7dm3xxx9/yFqLk5OTUKlU+Q63V1XcE9YB48aN0xqeMGECli1bhl9//RVNmjTB1q1b0b9/fwghcP/+famfv78/Nm7ciDNnzqBdu3YwNjaWxmVnZyMlJQV169aFubk5zpw5k2+Pa/To0flqMTc3x/Hjx3Hnzh3Y29vnG5+bm4u9e/ciICAArq6uUrudnR0GDx6Mb7/9FikpKVp7Vc8vp0OHDti+fbtWPw8Pj2Jf0Wxrayv9OT09HUqlMl+fvLdRFfXGIODp/YgdO3ZEnz59UKNGDfzyyy+YP38+bG1tMX78eKnfgwcPMHPmTMyYMQNWVlbFqvNFzp07BwCYMWMGZsyYIbX7+Pjg8OHDaNq0qdTm5OT0wif3yPUdPmvDhg0wMDBA//79iz0NlT9nZ+dK86KI69evy11ChWII64B69eppDdepUwd6enq4fv06EhMTkZSUhJUrV2o9J/ZZeTesp6enIzg4GKtXr8bt27e1NrqCDlO6uLjka/v8888RGBgIBwcHtGjRAq+99hqGDBkiBW5iYiKePHmCBg0a5Ju2YcOG0Gg0uHnzJho1aiS1Ozo6avXLe8Xgo0ePpBC2sLDId5VtcRgbG+d7Di0AZGRkSOMLs3HjRowaNQqXLl1C7dq1AQBvvPEGNBoNpk2bhkGDBqFGjRoAgI8//hiWlpaYMGFCiWssTN6V0b/88gsMDQ2RkJCA4OBgnD59ulRXPcvxHT4rNTUVP//8M/z9/aXvjei/jiGsg559ckzezehvvfVWobcU5D3lZsKECVi9ejUmTZoELy8vqNVqKBQKDBw4sMCb2gv6x7V///7SnurevXuxcOFCLFiwANu2bUO3bt1KtT6F3ef47I+ErKws6X7GF7GyspLmaWdnV+C9qHn3Axa0N59n2bJlaNasmRTAeXr16oXQ0FCcPXsWfn5+uHz5MlauXInFixfjzp07Ur+MjAxkZ2fj+vXrUKlUsLS0LFb9ec6dOwcnJye89tprUlvz5s3h7u6OZcuWYeHChSWanxzf4bN27NiBJ0+e4M033yxmxURVH0NYB1y+fFlrr/TKlSvQaDRwdnaGlZUVzMzMkJub+8K9nC1btiAwMFDr7SsZGRlISkoqUT12dnYYO3Ysxo4di3v37qF58+aYN28eunXrBisrK5iYmBT4pKbo6Gjo6emV6sb7o0ePwtfXt1h9Y2NjpYt+mjZtivDw8HyHwPMe7P7sId3nJSQkSHvlz8p7ik5OTg4A4Pbt29BoNHjvvffw3nvv5evv4uKCiRMnYvHixcWqP8+5c+eki5/yNGzYEC1btsTWrVtLHMJyfIfPWr9+PapXry7rRT9ElQ1DWAeEhISgS5cu0vDSpUsBAN26dYO+vj769OmDDRs24Pz58/me0JSYmCido9TX18933mfp0qVaz54tSm5uLlJTU7UOhVpbW8Pe3l46XKmvr48uXbrg559/xvXr16V/yBMSErBhwwa0b98+31W2xVHa85l9+/bFF198gZUrV+L9998H8PTpT6tXr4anp6f0g+DJkyeIi4tDzZo1UbNmTQBA/fr1sXfvXly6dAn169eX5vnjjz9CT09POsLQuHHjAp+a8/HHH+Px48f4v//7P9SpU6dE6xsfH4979+4V+MQtf39/zJs3D1FRUSV6UEB5f4dAwd8j8PT/wz/++AODBg3KdxU+0X+anFeFUdHyrh5u0qSJ6NmzpwgJCRFvvfWWACAGDx4s9YuPjxdOTk7CxMRETJw4UXzzzTciODhY9OvXT1hYWEj9hgwZIvT19aU+Q4cOFbVr1xY1atTQuuE+b7nP3x/76NEjYWpqKgIDA8WXX34pVq5cKfr37y8AiEWLFkn9zp8/L0xNTUWtWrXEvHnzxIIFC4Srq6tQKpXi2LFjL1zO6tWr812h+zL69esnqlWrJqZOnSq++eYb0bZtW1GtWjVx8OBBqU/elcN5DzYQ4t97fq2trcXcuXNFSEiI6NatmwAgRowY8cLlFnZ1NADpAQCF2bNnjwAg1q9fn2/cwYMH8z08o7wV5zsUouDvUQghli5dKgCIPXv2VFjNRLqAIVyJ5YXUxYsXRd++fYWZmZmwsLAQ48ePz/ewjoSEBDFu3Djh4OAgDAwMhK2trejcubNYuXKl1OfRo0di2LBhombNmqJ69erC399fREdHCycnp2KFcGZmppg6darw8PCQHsLh4eFR4O0mZ86cEf7+/qJ69erCxMRE+Pr65nu1XkWFcHp6uvDsHSjMa1gLpVIpWrVqlS8MCguP48ePi27duglbW1thYGAg6tevL+bNm1esh2EUFMKPHz8WAMTAgQOLnPbzzz/Xug3tWVlZWcLMzEz4+vq+sIaykp6eLt5//31ha2tb6HcoROHfY5s2bYS1tbXWk7+ISAiFEJXkunTKZ/bs2ZgzZw4SExO1Du1RyTlP/wUAcP2z7rLW8euvv6JHjx7466+/yuSBHkS6Yvbs2dixY0e+lyL81/EtSkQVKDw8HAMHDmQAE4Cn58rHjBkDR0dHKJVK2Nrawt/fX+uNSQqFAjt27KiwmuLj4zFhwgS4urpCqVTCwcEBPXv2RFhYWIXV8F/CC7OIKlBJr2imqq1Pnz7IysrCmjVr4OrqioSEBISFheHBgwey1HP9+nW0a9cO5ubmWLhwIZo0aYLs7Gz8/vvvGDduHKKjo2WpqyrjnjAR0T8u/nUWX3/0Lr55vy+WfjQKF/86W27LSkpKwp9//okFCxbA19cXTk5OaN26NYKCgqTbuPLuLnj99dehUCi0nre9fPly1KlTB4aGhmjQoAHWrVunNX+FQoHly5ejW7duMDY2hqurK7Zs2VJkTWPHjoVCocCJEyfQp08f1K9fH40aNcLkyZNx7NgxqV9cXBx69+6N6tWrQ6VSoX///khISNCa12effQYbGxuYmZlh+PDh0sNd8mg0GsydOxe1a9eGUqlE06ZNsWfPHmn89evXoVAosG3bNvj6+sLExAQeHh5a71muEuQ+KU1UEZym7RZO03bLXQZVYhciz4jQ8R1F7rIOQqx4+t/Q8R3FhcgzL564FLKzs0X16tXFpEmT8r2uL8+9e/cEALF69Wpx9+5d6bnk27ZtEwYGBiIkJETExMSIRYsWCX19fbF//35pWgCiRo0a4ttvvxUxMTHi448/Fvr6+uLixYsFLuvBgwdCoVCI+fPnF1l3bm6uaNq0qWjfvr04deqUOHbsmGjRooXWFf+bNm0SSqVSfPfddyI6Olp89NFHwszMTOsVhF9++aVQqVTixx9/FNHR0eKDDz4QBgYG4tKlS0KIf59n7ebmJnbv3i1iYmJE3759hZOTU5m+JUxuDGH6T2AI04ss/XCUFMB5n9xlHcTSD0eV2zK3bNkiLCwshJGRkWjbtq0ICgrKd0U8ALF9+3attrZt24qRI0dqtfXr10/rPcAAxOjRo7X6eHp6ijFjxhRYS957o7dt21ZkzXv37hX6+vpar7DMe5nHiRMnhBBCeHl5ibFjx+Zb9rMhbG9vn++d0q1atZKmywvh7777Lt9yoqKiiqxRl/BwNBERAIPMB9DTU2i16ekpYJBZvEd9lkafPn1w584d7Ny5E127dsWBAwfQvHlzhIaGFjldVFQU2rVrp9XWrl07REVFabV5eXnlG36+Tx5RzBtloqKi4ODgoPWQFnd3d5ibm0vzjoqKyvfK0mdrSUlJwZ07d4q1DnkPxQGePq0P+Pd5+FUBQ5iICEC2sgY0Gu0g0mgEspUle+Z3SRkZGeHVV1/FjBkzcPToUQwdOhSzZs0q12UWpF69elAoFJXu4isDAwPpz3nPzS/oWfe6iiFMRASgU//RWHdRIQWxRiOw7qICnfrnf6VneXJ3d0daWpo0bGBgkO/Rsg0bNtS6jQkAjhw5And3d622Zy+myhsu7FGnlpaW8Pf3R0hIiNby8+Q9Y75hw4a4efMmbt68KY27ePEikpKSpOU3bNhQerZ4QbWoVCrY29sXax2qOt6iREQEwN2jGTBiMZb9tAIGmQ+RrbREpxGjn7aXgwcPHqBfv35455138Morr8DMzAynTp3C559/jt69e0v9nJ2dERYWhnbt2kGpVMLCwgJTp05F//790axZM/j5+WHXrl3Ytm0b/vjjD61lbN68GS1btkT79u2xfv16nDhxAqtWrSq0ppCQELRr1w6tW7fG3Llz8corryAnJwf79u3D8uXLERUVBT8/PzRp0gRvvvkmFi9ejJycHIwdOxbe3t5o2bIlAGDixIkYOnQoWrZsiXbt2mH9+vW4cOGC1jvGp06dilmzZqFOnTpo2rQpVq9ejcjISKxfv76Mv+lKTu6T0kQVgRdmUWWTkZEhpk+fLpo3by7UarUwMTERDRo0EB9//LF48uSJ1G/nzp2ibt26olq1asLJyUlqX7ZsmXB1dZUep7p27Vqt+QMQISEh4tVXXxVKpVI4OzuLTZs2vbCuO3fuiHHjxgknJydhaGgoatWqJXr16iXCw8OlPjdu3BC9evUSpqamwszMTPTr10/Ex8drzWfevHnSI3IDAwPFBx98oHVhVm5urpg9e7aoVauWMDAwEB4eHuK3336TxuddmHX27Fmp7dGjRwKAVi26jo+tpP+EyvLYSqKKolAosH37dgQEBMhdChWB54SJiIhkwhAmIiKSCS/MIiKqgnimUTdwT5iIiEgmDGEiIiKZMISJiIhkwhAmIiKSCUOYiIhIJgxhIiIimTCEiYiIZMIQJiIikglDmIiISCYMYSIiIpkwhImIiGTCECYiIpIJQ5iIiEgmDGEiIiKZMISJiIhkwhAmIiKSCUOYiIhIJgxhIiIimTCEiYiIZMIQJiIikglDmIiISCYMYSIiIpkwhImIiGTCECYiIpIJQ5iIiEgmDGEiIiKZMISJiIhkwhAmIiKSCUOYiIhIJgxhIiIimTCEiYiIZMIQJiIikglDmIiISCYMYSIiIpkwhImIiGTCECYiIpIJQ5iIiEgmDGGq8oQQcpdARFQghjBVecxgIqqsGMJU5eUyhYmokmIIU5WnYQgTUSXFEKYqjxlMRJUVQ5iqPO4JE1FlxRCmKk/DDCaiSoohTFUe94SJqLJiCFOVJzRyV0BEVDCGMFV53BMmosqKIUxVHkOYiCorhjBVebwwi4gqK4YwVXl8djQRVVYMYaryuCdMRJVVNbkLqOyEEHj8+LHcZdBLSE5OhybzCQBg05EYCAAKAArF0/FC/PvnPBoB6D3X9qLxeTvcCsXTP3u6WMKyurJM1oH+ZWZmBsXzf2FEOkoheKyuSImJibC2tpa7DCL6x71792BlZSV3GURlgnvCL2BoaAgAuHnzJlQqlczVlI+UlBQ4ODhU2XWs6usH/LfWMW+bJKoKGMIvkHfYS6VSVdl/3PJU9XWs6usH/DfWkYeiqSrhhVlEREQyYQgTERHJhCH8AkqlErNmzYJSWXWvcq3q61jV1w/gOhLpKl4dTUREJBPuCRMREcmEIUxERCQThjAREZFMdCaEg4OD0apVK5iZmcHa2hoBAQGIiYl54XSbN2+Gm5sbjIyM0KRJE/z6668VUC0REdGL6UwIHzx4EOPGjcOxY8ewb98+ZGdno0uXLkhLSyt0mqNHj2LQoEEYPnw4zp49i4CAAAQEBOD8+fMVWDkREVHBdPbq6LxnOh88eBAdO3YssM+AAQOQlpaG3bt3S21t2rRB06ZNsWLFiooqlYiIqEA6+9jK5ORkAIClpWWhfSIiIjB58mStNn9/f+zYsaPQaTIzM5GZmSkNCyGQlZWFmjVr8nF5RJUct1/SNTpzOPpZGo0GkyZNQrt27dC4ceNC+8XHx8PGxkarzcbGBvHx8YVOExwcDLVaLX3Mzc1hbW3N1xkS6QBuv6RrdDKEx40bh/Pnz2Pjxo1lPu+goCAkJydLn5s3b5b5MoiofHD7JV2jc4ejx48fj927d+PQoUOoXbt2kX1tbW2RkJCg1ZaQkABbW9tCp1EqlXwsHpGO4vZLukZn9oSFEBg/fjy2b9+O/fv3w8XF5YXTeHl5ISwsTKtt37598PLyKq8yiYiIik1n9oTHjRuHDRs24Oeff4aZmZl0XletVsPY2BgAMGTIENSqVQvBwcEAgIkTJ8Lb2xuLFi1C9+7dsXHjRpw6dQorV66UbT2IiIjy6Mye8PLly5GcnAwfHx/Y2dlJn02bNkl94uLicPfuXWm4bdu22LBhA1auXAkPDw9s2bIFO3bsKPJiLiIiooqis/cJV5SUlBSo1WokJydDpVLJXQ4RlQC3X6rsdGZPmIiIqKphCBMREcmEIUxERCQThjAREZFMGMJEREQyYQgTERHJhCFMREQkE4YwERGRTBjCREREMmEIExERyYQhTEREJBOGMBERkUwYwkRERDJhCBMREcmEIUxERCQThjAREZFMGMJEREQyYQgTERHJhCFMREQkE50K4UOHDqFnz56wt7eHQqHAjh07iux/4MABKBSKfJ/4+PiKKZiIiKgIOhXCaWlp8PDwQEhISImmi4mJwd27d6WPtbV1OVVIRERUfNXkLqAkunXrhm7dupV4Omtra5ibm5d9QURERC9Bp/aES6tp06aws7PDq6++iiNHjhTZNzMzEykpKVofItIN3H5J11TpELazs8OKFSuwdetWbN26FQ4ODvDx8cGZM2cKnSY4OBhqtVr6ODg4VGDFRPQyuP2SrlEIIYTcRZSGQqHA9u3bERAQUKLpvL294ejoiHXr1hU4PjMzE5mZmdJwSkoKHBwckJycDJVK9TIlE1E54/ZLukanzgmXhdatW+Pw4cOFjlcqlVAqlRVYERGVFW6/pGuq9OHogkRGRsLOzk7uMoiIiHRrTzg1NRVXrlyRhmNjYxEZGQlLS0s4OjoiKCgIt2/fxtq1awEAixcvhouLCxo1aoSMjAx899132L9/P/bu3SvXKhAREUl0KoRPnToFX19faXjy5MkAgMDAQISGhuLu3buIi4uTxmdlZWHKlCm4ffs2TExM8Morr+CPP/7QmgcREZFcdPbCrIqSkpICtVrNCzuIdBC3X6rs/nPnhImIiCoLhjAREZFMGMJEREQyYQgTERHJhCFMREQkE4YwERGRTBjCREREMmEIExERyYQhTEREJBOGMBERkUwYwkRERDJhCBMREcmEIUxERCQThjAREZFMGMJEREQyYQgTERHJhCFMREQkE4YwERGRTBjCREREMtGpED506BB69uwJe3t7KBQK7Nix44XTHDhwAM2bN4dSqUTdunURGhpa7nUSEREVh06FcFpaGjw8PBASElKs/rGxsejevTt8fX0RGRmJSZMmYcSIEfj999/LuVIiIqIXqyZ3ASXRrVs3dOvWrdj9V6xYARcXFyxatAgA0LBhQxw+fBhfffUV/P39y6tMIiKiYtGpPeGSioiIgJ+fn1abv78/IiIiZKqIiIjoXzq1J1xS8fHxsLGx0WqzsbFBSkoK0tPTYWxsnG+azMxMZGZmSsMpKSnlXicRlQ1uv6RrqvSecGkEBwdDrVZLHwcHB7lLIqJi4vZLuqZKh7CtrS0SEhK02hISEqBSqQrcCwaAoKAgJCcnS5+bN29WRKlEVAa4/ZKuqdKHo728vPDrr79qte3btw9eXl6FTqNUKqFUKsu7NCIqB9x+Sdfo1J5wamoqIiMjERkZCeDpLUiRkZGIi4sD8PRX8JAhQ6T+o0ePxrVr1/DBBx8gOjoay5Ytw08//YT//e9/cpRPRESkRadC+NSpU2jWrBmaNWsGAJg8eTKaNWuGmTNnAgDu3r0rBTIAuLi44JdffsG+ffvg4eGBRYsW4bvvvuPtSUREVCkohBBC7iIqs5SUFKjVaiQnJ0OlUsldDhGVALdfqux0ak+YiIioKmEIExERyYQhTEREJBOGMBERkUwYwkRERDJhCBMREcmEIUxERCQThjAREZFMGMJEREQyYQgTERHJhCFMREQkE4YwERGRTKr0+4SJylp0zCWs3foLMrJz4NPaAz38/aCnx9+yRFQ6DGGiYtq66zcs/z0SyjptoKheDZGHrmL/0c/w1dwgKBQKAEBubi72hR/CtRu30LFNCzRu5C5z1URUmfEnPFExZGdn44c9R2HcoAP0qhlAoVDA1L4u/s6wQMSJkwCAxMREDBz/IT4Pu4GfE2tg4qo/MHnWZ9BoNDJXT0SVFUOYqBji4uKQrLTK125cuxH2HjwGAPhkybdIq+cPU/u6MDRVwcSlOf7KrYXNO3ZXdLn0nPDoe3KXQFQghjBRMVhYWMAgKzVfe+bjh6hl+zScr91Ph76BodZ4ExsXHDpzsUJqpMJ9sTdG7hKICsQQJioGS0tLuFnqISstRWoTGg0MbxzDwNd7AAD0/zkv/CwhBPTyN1MFy8rhKQGqnBjCRMX0WdBENMuJgojah+zocNSM24/PJw+DmZkZAKCJo6VWSANAetx5BHRuK0e59AxewE6Vlc79rxkSEgJnZ2cYGRnB09MTJ06cKLRvaGgoFAqF1sfIyKgCq6WqxNjYGJ99PAXb/+9jbFs4BaGLZqNRwwbS+I8mvos6yWeQfvkokm/GIDd6P3rWM0Jnn44yVk1ElZlO3aK0adMmTJ48GStWrICnpycWL14Mf39/xMTEwNrausBpVCoVYmL+PR+kKOCQIVFJGBgYwMDAIF+7sbExlgV/jJs3b+LOnbto2LAfVCqVDBUSka7QqT3hL7/8EiNHjsSwYcPg7u6OFStWwMTEBN9//32h0ygUCtja2kofGxubCqyY/oscHBzg6dmaAUxEL6QzIZyVlYXTp0/Dz89PatPT04Ofnx8iIiIKnS41NRVOTk5wcHBA7969ceHChYool3RAUlISln2/DnO+WIrIc39DCCF3SUT0H6Mzh6Pv37+P3NzcfHuyNjY2iI6OLnCaBg0a4Pvvv8crr7yC5ORkfPHFF2jbti0uXLiA2rVrFzhNZmYmMjMzpeGUlJQC+5FuO3bqNOZ8uw25Tm1gYOKAP0PD4WUdhrnTJvKUhQ7j9ku6Rmf2hEvDy8sLQ4YMQdOmTeHt7Y1t27bBysoK33zzTaHTBAcHQ61WSx8HB4cKrJgqghACX63ZAf1GXaE0s4CefjUYuzTHkXvVcOr0WbnLo5fA7Zd0jc6EcM2aNaGvr4+EhASt9oSEBNja2hZrHgYGBmjWrBmuXLlSaJ+goCAkJydLn5s3b75U3VT53L17Fw/1zfPt8Zo4NcHPfxyUqSoqC9x+SdfoTAgbGhqiRYsWCAsLk9o0Gg3CwsLg5eVVrHnk5ubi77//hp2dXaF9lEolVCqV1oeqFmNjY+jlZOZrz8nMgMrURIaKqKwUtv3y8d1UWelMCAPA5MmT8e2332LNmjWIiorCmDFjkJaWhmHDhgEAhgwZgqCgIKn/3LlzsXfvXly7dg1nzpzBW2+9hRs3bmDEiBFyrQJVAhYWFnA10yAn84lWuyY2AoH9A+QpisoVH9ZBlZXOXJgFAAMGDEBiYiJmzpyJ+Ph4NG3aFHv27JEu1oqLi9N6t+ujR48wcuRIxMfHw8LCAi1atMDRo0fh7s7Xy/3XLQh6D1PnLUbsE0PkVjOBOisRE/q9ylvYiKhCKQTvyyhSSkoK1Go1kpOTeWi6Crp37x4eP34MFxcXrR9wVDXkbb9t5uxExMyecpdDlI9O7QkTlTVra+tCn7ZGRFTe+NOfiIhIJgxhIiIimTCEiYiIZMIQJiIikglDmIiISCYMYaIycPfuXfy2NwyXLl2WuxQi0iG8RYnoJWg0GsxauATHbmUgR+0Ivd/+Rh2DJPzfnGkwNjaWuzwiquS4J0z0EjZt34WjKZYwqt8e1W0cYeLaEjcsW2PB19/JXRoR6QCGMNFLCD91Hia2rlpthqYq/B13X6aKiEiXMISJXkJhD33ls2ArF75FiSorhjDRS+jQtAHSE7XfWZudnoaG9ubyFEQF4mPBqbLi/5pEL+Gt/m+gWbVbSL96AumP7uHJjb9he/dPBE0YKXdpRKQDeHU0VWlXrl7Dyh+3Izk9Bw41q2Ns4CBYWlqW2fz19PSwcOZUXLlyFScjz6O+qxeaN/OAQqEos2UQUdXFEKYq6+SZSHz07Q4Y1PeGntoAN9LTcDJoAVYHTyvTIAaAunXroG7dOmU6TyKq+ng4mqqs5T/uhGHDztCrZgAAMDA2RWadTghZvUHmyoiInmIIU5X1IF2T77CwgbEp4u4/lqkikkthV7ETyY0hTFVWdYOnAZydnY0nT9KQm5sLTW4OVEb6MldGRPQUzwlTldWt7Sv4dOd+CFt3CD196GlSoH/1ED6fN07u0qiC8To5qqx0bk84JCQEzs7OMDIygqenJ06cOFFk/82bN8PNzQ1GRkZo0qQJfv311wqqlOQWe/MOjPQ0yIw6gMzog8iKPghjlQVib9ySuzQiIgA6FsKbNm3C5MmTMWvWLJw5cwYeHh7w9/fHvXv3Cux/9OhRDBo0CMOHD8fZs2cREBCAgIAAnD9/voIrJzlExt7DX2vnIC5sNRKObEbs7hBk6hlh8eofER8fX+A0aWlp+PmXPdi9Zy/S09MruGIi+q9RCKE7lyx4enqiVatW+PrrrwE8fYONg4MDJkyYgOnTp+frP2DAAKSlpWH37t1SW5s2bdC0aVOsWLGiWMtMSUmBWq1GcnIyVCpV2awIVQiFQgGTOi1h6tEVhjUckHHzPNIvhuFJ3EW06DMG/bybYtqEUVL/3/4Ix9LNYciwcQc0AiaJF/H+2z3g095LxrWgl5G3/baetRPHZ/eUuxyifEq8J5yeno7Dhw/j4sWL+cZlZGRg7dq1ZVLY87KysnD69Gn4+flJbXp6evDz80NERESB00RERGj1BwB/f/9C+1PVYuLUGDW6T4ZpvdYwsLSDmcerUPuMgLKGPRIy9PDrpVQcPf70dEZaWhqWbg6DfuOuMLVyhKmNExSNu2HRD7uRlZUl85rQy+JjK6myKtGFWZcuXUKXLl0QFxcHhUKB9u3bY+PGjbCzswMAJCcnY9iwYRgyZEiZF3r//n3k5ubCxsZGq93GxgbR0dEFThMfH19g/8IORQJAZmYmMjMzpeGUlJSXqJrkVK2GE/SNq2u1Ke3qwqCmEwwcXkF67hNs//0Q2nq2xr7wQ8iwcYfpc/N4bF4XR44dh2/HDhVXOJVaYdvv7UcZeHfdKZgaVoOJUh8G+npQQAE9xdOLtvQUCkCBfG0KAFD80/bMOIVC8fS/UOS76CtvMK9dgfxXheWb5p9l/VOGdGtd3jD+Ga8nLRfS8iEt5+l0Uo3/1NbUwRxONZ7/P5sqixKF8LRp09C4cWOcOnUKSUlJmDRpEtq1a4cDBw7A0dGxvGqsUMHBwZgzZ47cZVBZKORMixACEAIKPQUUek//BdPT1yvk1UcC+tyN0hlFbb+/X0io4Goqj+ufdZe7BCpEiUL46NGj+OOPP1CzZk3UrFkTu3btwtixY9GhQweEh4fD1LT8fm3VrFkT+vr6SEjQ3pASEhJga2tb4DS2trYl6g8AQUFBmDx5sjSckpICBweHl6ic5JJ9PxY5acmoZqqW2jJuRSHn/g3k3PwLxq6u6NetEwDAz7sDvtkxD7D+98ekEALqpMvw8ny7wmun0ils+329mT1MqptBT6FANT0F9PQU0FcooP/cn/M+egoF9PWg1V97bzX/Hqm0h5zX9tye8rPj8jz7O1Hzz4AQgIDAP78VIfD0/0UBAOJpP/HM9FLffxoEAI1G/DMd0Ma1Rnl81VRGShTC6enpqFbt30kUCgWWL1+O8ePHw9vbGxs2lN/jAA0NDdGiRQuEhYUhICAAwNMLs8LCwjB+/PgCp/Hy8kJYWBgmTZokte3btw9eXoVfaKNUKqFUKsuydJJJ+s0oPPjlS5g26gQDKydk3DiHjMtHkPnwLuxMgDdesUKrFs0BACYmJnj/re74cv1uPDavD0AD1aNLCBrZDwYGBvKuCBVbYdvvJwFNeGElVUolCmE3NzecOnUKDRs21GrPu1q5V69eZVdZASZPnozAwEC0bNkSrVu3xuLFi5GWloZhw4YBAIYMGYJatWohODgYADBx4kR4e3tj0aJF6N69OzZu3IhTp05h5cqV5VonVQ55F/4rFAoYmFki+/FDfPt9KKytbdDeq3W+lzj4dmiLtq1b4OjxE9DX04OX59sMYCIqVyUK4ddffx0//vgj3n47/+G5r7/+GhqNpti3/pTGgAEDkJiYiJkzZyI+Ph5NmzbFnj17pIuv4uLioPfM+bu2bdtiw4YN+Pjjj/Hhhx+iXr162LFjBxo3blxuNVLlU5K78JRKJS/CIqIKo1P3CcuB9wkT6S5uv1TZ8bJPIiIimTCEiYiIZMIQJiIikglDmIiISCYMYSIiIpkwhImIiGTCECYiIpIJQ5iIiEgmDGEiIiKZMISJiIhkwhAmIiKSCUOYiIhIJgxhIiIimTCEiYiIZMIQJiIikglDmIiISCYMYSIiIpkwhImIiGTCECYiIpIJQ5iIiEgmOhPCDx8+xJtvvgmVSgVzc3MMHz4cqampRU7j4+MDhUKh9Rk9enQFVUxERFS0anIXUFxvvvkm7t69i3379iE7OxvDhg3DqFGjsGHDhiKnGzlyJObOnSsNm5iYlHepRERExaITIRwVFYU9e/bg5MmTaNmyJQBg6dKleO211/DFF1/A3t6+0GlNTExga2tbUaUSEREVm04cjo6IiIC5ubkUwADg5+cHPT09HD9+vMhp169fj5o1a6Jx48YICgrCkydPiuyfmZmJlJQUrQ8R6QZuv6RrdGJPOD4+HtbW1lpt1apVg6WlJeLj4wudbvDgwXBycoK9vT3OnTuHadOmISYmBtu2bSt0muDgYMyZM6fMaieiisPtl3SNrHvC06dPz3fh1POf6OjoUs9/1KhR8Pf3R5MmTfDmm29i7dq12L59O65evVroNEFBQUhOTpY+N2/eLPXyiahicfslXSPrnvCUKVMwdOjQIvu4urrC1tYW9+7d02rPycnBw4cPS3S+19PTEwBw5coV1KlTp8A+SqUSSqWy2PMkosqD2y/pGllD2MrKClZWVi/s5+XlhaSkJJw+fRotWrQAAOzfvx8ajUYK1uKIjIwEANjZ2ZWqXiIiorKkExdmNWzYEF27dsXIkSNx4sQJHDlyBOPHj8fAgQOlK6Nv374NNzc3nDhxAgBw9epVfPLJJzh9+jSuX7+OnTt3YsiQIejYsSNeeeUVOVeHiIgIgI6EMPD0Kmc3Nzd07twZr732Gtq3b4+VK1dK47OzsxETEyNd/WxoaIg//vgDXbp0gZubG6ZMmYI+ffpg165dcq0CERGRFoUQQshdRGWWkpICtVqN5ORkqFQqucshohLg9kuVnc7sCRMREVU1DGEiIiKZMISJiIhkwhAmIiKSCUOYiIhIJgxhIiIimTCEiYiIZMIQJiIikglDmIiISCYMYSIiIpkwhImIiGTCECYiIpIJQ5iIiEgmDGEiIiKZMISJiIhkwhAmIiKSCUOYiIhIJgxhIiIimTCEiYiIZKIzITxv3jy0bdsWJiYmMDc3L9Y0QgjMnDkTdnZ2MDY2hp+fHy5fvly+hRIRERWTzoRwVlYW+vXrhzFjxhR7ms8//xxLlizBihUrcPz4cZiamsLf3x8ZGRnlWCkREVHxKIQQQu4iSiI0NBSTJk1CUlJSkf2EELC3t8eUKVPw/vvvAwCSk5NhY2OD0NBQDBw4sFjLS0lJgVqtRnJyMlQq1cuWT0QViNsvVXY6sydcUrGxsYiPj4efn5/Uplar4enpiYiIiEKny8zMREpKitaHiHQDt1/SNVU2hOPj4wEANjY2Wu02NjbSuIIEBwdDrVZLHwcHh3Ktk4jKDrdf0jWyhvD06dOhUCiK/ERHR1doTUFBQUhOTpY+N2/erNDlE1HpcfslXVNNzoVPmTIFQ4cOLbKPq6trqeZta2sLAEhISICdnZ3UnpCQgKZNmxY6nVKphFKpLNUyiUhe3H5J18gawlZWVrCysiqXebu4uMDW1hZhYWFS6KakpOD48eMlusKaiIiovOjMOeG4uDhERkYiLi4Oubm5iIyMRGRkJFJTU6U+bm5u2L59OwBAoVBg0qRJ+PTTT7Fz5078/fffGDJkCOzt7REQECDTWhAREf1L1j3hkpg5cybWrFkjDTdr1gwAEB4eDh8fHwBATEwMkpOTpT4ffPAB0tLSMGrUKCQlJaF9+/bYs2cPjIyMKrR2IiKigujcfcIVjfcZEukubr9U2enM4WgiIqKqhiFMREQkE4YwERGRTBjCREREMmEIExERyYQhTEREJBOGMBERkUwYwkRERDJhCBMREcmEIUxERCQThjAREZFMGMJEREQyYQgTERHJhCFMREQkE4YwERGRTBjCREREMmEIExERyYQhTEREJBOGMBERkUx0JoTnzZuHtm3bwsTEBObm5sWaZujQoVAoFFqfrl27lm+hRERExVRN7gKKKysrC/369YOXlxdWrVpV7Om6du2K1atXS8NKpbI8yiMiIioxnQnhOXPmAABCQ0NLNJ1SqYStrW05VERERPRydOZwdGkdOHAA1tbWaNCgAcaMGYMHDx7IXRIREREAHdoTLo2uXbvijTfegIuLC65evYoPP/wQ3bp1Q0REBPT19QucJjMzE5mZmdJwSkpKRZVLRC+J2y/pGln3hKdPn57vwqnnP9HR0aWe/8CBA9GrVy80adIEAQEB2L17N06ePIkDBw4UOk1wcDDUarX0cXBwKPXyiahicfslXaMQQgi5Fp6YmPjCw8Ourq4wNDSUhkNDQzFp0iQkJSWVaplWVlb49NNP8e677xY4vqBf0g4ODkhOToZKpSrVMomoYnD7JV0j6+FoKysrWFlZVdjybt26hQcPHsDOzq7QPkqlkldQE+kobr+ka3Tmwqy4uDhERkYiLi4Oubm5iIyMRGRkJFJTU6U+bm5u2L59OwAgNTUVU6dOxbFjx3D9+nWEhYWhd+/eqFu3Lvz9/eVaDSIiIonOXJg1c+ZMrFmzRhpu1qwZACA8PBw+Pj4AgJiYGCQnJwMA9PX1ce7cOaxZswZJSUmwt7dHly5d8Mknn/CXMhERVQqynhPWBSkpKVCr1TynRKSDuP1SZaczh6OJiIiqGoYwERGRTBjCREREMmEIExERyYQhTEREJBOGMBERkUwYwkRERDJhCBMREcmEIUxERCQThjAREZFMGMJEREQyYQgTERHJhCFMREQkE4YwERGRTBjCREREMmEIExERyYQhTEREJBOGMBERkUwYwkRERDLRiRC+fv06hg8fDhcXFxgbG6NOnTqYNWsWsrKyipwuIyMD48aNQ40aNVC9enX06dMHCQkJFVQ1ERFR0XQihKOjo6HRaPDNN9/gwoUL+Oqrr7BixQp8+OGHRU73v//9D7t27cLmzZtx8OBB3LlzB2+88UYFVU1ERFQ0hRBCyF1EaSxcuBDLly/HtWvXChyfnJwMKysrbNiwAX379gXwNMwbNmyIiIgItGnTpljLSUlJgVqtRnJyMlQqVZnVT0Tlj9svVXY6sSdckOTkZFhaWhY6/vTp08jOzoafn5/U5ubmBkdHR0RERFREiUREREWqJncBpXHlyhUsXboUX3zxRaF94uPjYWhoCHNzc612GxsbxMfHFzpdZmYmMjMzpeHk5GQAT39RE5H8zMzMoFAoChz3/PbL7ZYqO1lDePr06ViwYEGRfaKiouDm5iYN3759G127dkW/fv0wcuTIMq8pODgYc+bMydfu4OBQ5ssiopK7d+8erKysChxX2PZLVFnJek44MTERDx48KLKPq6srDA0NAQB37tyBj48P2rRpg9DQUOjpFX40ff/+/ejcuTMePXqktTfs5OSESZMm4X//+1+B0z3/SzopKQlOTk6Ii4uDWq0uwdrpjpSUFDg4OODmzZtV8rxZVV8/4L+1jklJSYVui89vv0IIZGVloWbNmoXuPRPJSdY9YSsrq0J/0T7v9u3b8PX1RYsWLbB69eoiAxgAWrRoAQMDA4SFhaFPnz4AgJiYGMTFxcHLy6vQ6ZRKJZRKZb52tVpdZf9xy6NSqar0Olb19QP+G+tYVJgWtv0SVVY6cWHW7du34ePjA0dHR3zxxRdITExEfHy81rnd27dvw83NDSdOnADwNDSHDx+OyZMnIzw8HKdPn8awYcPg5eVV7CujiYiIypNOXJi1b98+XLlyBVeuXEHt2rW1xuUdTc/OzkZMTAyePHkijfvqq6+gp6eHPn36IDMzE/7+/li2bFmF1k5ERFQYnQjhoUOHYujQoUX2cXZ2xvOnt42MjBASEoKQkJBSL1upVGLWrFlV+hBXVV/Hqr5+ANeRSFfp7MM6iIiIdJ1OnBMmIiKqihjCREREMmEIExERyYQhXEylfZ2irpk3bx7atm0LExOTfI/81FUhISFwdnaGkZERPD09pdvYqoJDhw6hZ8+esLe3h0KhwI4dO+QuqcwFBwejVatWMDMzg7W1NQICAhATEyN3WURlgiFcTKV9naKuycrKQr9+/TBmzBi5SykTmzZtwuTJkzFr1iycOXMGHh4e8Pf3x7179+QurUykpaXBw8Pjpe4AqOwOHjyIcePG4dixY9i3bx+ys7PRpUsXpKWlyV0a0Uvj1dEv4UWvU9RloaGhmDRpEpKSkuQu5aV4enqiVatW+PrrrwEAGo0GDg4OmDBhAqZPny5zdWVLoVBg+/btCAgIkLuUcpWYmAhra2scPHgQHTt2lLscopfCPeGX8KLXKZK8srKycPr0aa3XWerp6cHPz4+vs9RheW8247ZHVQFDuJTyXqf47rvvyl0KFeL+/fvIzc2FjY2NVvuLXmdJlZdGo8GkSZPQrl07NG7cWO5yiF7afz6Ep0+fDoVCUeQnOjpaa5ryfp1iWSvNOhJVRuPGjcP58+exceNGuUshKhM68djK8jRlypQXPhLT1dVV+vOdO3fg6+uLtm3bYuXKleVcXdko6TpWFTVr1oS+vj4SEhK02hMSEmBraytTVVRa48ePx+7du3Ho0KF8z5An0lX/+RAuz9cpVhYlWceqxNDQEC1atEBYWJh0sZJGo0FYWBjGjx8vb3FUbEIITJgwAdu3b8eBAwfg4uIid0lEZeY/H8LFlfc6RScnJ+l1inmq0l5VXFwcHj58iLi4OOTm5iIyMhIAULduXVSvXl3e4kph8uTJCAwMRMuWLdG6dWssXrwYaWlpGDZsmNyllYnU1FRcuXJFGo6NjUVkZCQsLS3h6OgoY2VlZ9y4cdiwYQN+/vlnmJmZSefz1Wo1jI2NZa6O6CUJKpbVq1cLAAV+qpLAwMAC1zE8PFzu0kpt6dKlwtHRURgaGorWrVuLY8eOyV1SmQkPDy/w7yswMFDu0spMYdvd6tWr5S6N6KXxPmEiIiKZ6MZJTSIioiqIIUxERCQThjAREZFMGMJEREQyYQgTERHJhCFMREQkE4YwERGRTBjCREREMmEIExERyYQhTFXaoUOH0LNnT9jb20OhUGDHjh1yl0REJGEIU5WWlpYGDw8PhISEyF0KEVE+fIsSVWndunVDt27d5C6DiKhA3BMmIiKSCUOYiIhIJgxhIiIimTCEiYiIZMIQJiIikgmvjqYqLTU1FVeuXJGGY2NjERkZCUtLSzg6OspYGRERoBBCCLmLICovBw4cgK+vb772wMBAhIaGVnxBRETPYAgTERHJhOeEiYiIZMIQJiIikglDmIiISCYMYSIiIpkwhImIiGTCECYiIpIJQ5iIiEgmDGEiIiKZMISJiIhkwhAmIiKSCUOYiIhIJgxhIiIimfw/r1ZQbj4i6hQAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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46623sHHjRrXOVu7fv4+uXbsiMzMTERERcHBwKL8doFdGpb4nbGVlBV9fX7XJyMgIwH9nqPmdO3cOANTud77Ixx9/DCEEAgMDkZ6errYsNjYWU6dOhYODA8aMGfOSe1Ow5s2bw9XVFUuWLMGjR4/UlhXlzKJHjx7IycnBN998o1b+5ZdfQqFQoHv37qUZ7gvt3r0bwLM/ooBnvZHFxcVhxIgR6N+/v8Y0aNAgHD16FLdv3y7XOK9du6bWs1dubi5+++23Yn1/TExM8MEHHyAmJgbTp0/XWL53716EhYXBz88Pbdq0KZW4tfH394eenh7mzJmj8RR1Ub9D586dQ2RkpFSWmpqK1atXw8XFpUiXuUtT3pPked+hvLPgqVOnanx/Bg4ciI4dO6o9W5CamooePXrg1q1b2LdvH+rWrVuu8dOro1KfCRfm6dOn8Pb2xvjx41GzZk2cO3cO33//Pd58802N9z8L06FDByxatAiTJk1C06ZNERgYCAcHB0RHR+Pbb79Fbm4u9u3bV6x1Fpeenh5WrFiB3r17w8PDAyNGjJBiuHTpEg4ePFho+969e8PHxwfTp09HXFwc3N3dcejQIezcuRPBwcHFSirF9ffff0uXmtPS0nDmzBmsXbsWderUwVtvvQXg2S9QfX196bLi8/r06YPp06dj06ZN0itV69evx40bN6QkeeLECXz66acAgLfeeqtUzszybjOMHDkSxsbGCA8Px6VLl4p933DatGm4ePEi5s+fj8jISPTr1w/GxsY4efIkfvzxRzRs2BBr16596XgLU6dOHUyfPh1z585F+/bt8cYbb0CpVOLXX3+Fo6Oj1neYn9+Hn376Cd27d8d7770Ha2trrF27FrGxsdi2bdtL3wIpzP/+9z9kZGQAAB48eIBdu3bh+PHjGDx4sPTK4YYNG+Dh4aFxvzxPnz59MGHCBFy4cAHNmzfHsGHDcO7cObz99tu4cuWK2rvBZmZmBd46ICo2uR7LllNAQIAwNjYWkydPFk5OTsLIyEjUq1dPfPTRRyXuQerEiROib9++olq1asLAwEDUrFlTjBo1SsTFxWndft4rUvl17NhRNGrUSKM873WYPM+/opTn5MmTokuXLsLc3FyYmpqKpk2bqr02VNB2hXj2OsnEiROFo6OjMDAwEHXr1hULFy7U6BYSBfRy5ezsLAICArSuuyB47tUSfX19UaNGDTF69GiRmJgohBAiKytLVK1aVbRv377Qdbm6uopmzZpJ8x07dizwFajnPzdtcRXlFaWWLVuKN954Q1SrVk2Ym5uLZs2aiR9++KHArjQLk5OTI9asWSPatm0rLCwshJGRkWjUqJGYPXu21u/k89+J/LE///OJjY0VAMTChQulsudfUcrzww8/iGbNmgmlUimsrKxEx44dxeHDh1+4XSGE+Oeff0T//v2FpaWlMDIyEq1btxZ79uxRq1NQL1d5Mb7oc9e2rvyToaGhaNCggZg3b57IysoSQghx/vx5AUB88sknBa4rLi5OABATJ06U9rOg74+zs3ORYyR6EYUQpfQkhA4JDAzE1q1bpftFRMXl4uKCxo0ba3SgQURUHJX6njAREVFF9sreE36R5ORkjQetnlfYk9avqpycHKkP5YKYmZnBzMysnCKST1JSEnJycgpcbmhoWKwuLl8V6enpSE5OLrSOtbW1WmcfRLqKSbgA77///gsfhnkFr+S/0M2bNwvsRzvPzJkzS31834qoVatWGh2d5NexY0eNQTjoWacaL3rd7OjRo+jUqVP5BERUhl7Je8JFcfny5Re+8lKSd3Iru4yMDJw8ebLQOgW9m1vZnDp1qtCrKVZWVmjRokU5RqQb7ty5g0uXLhVap0WLFmX6xgFReWESJiKSUWBgINauXYvQ0FBMmzZNKt+xYwdef/11XnGr5PhgFhGRzIyMjDB//vwS9Z1Nuo1JmIjo/138/U+M+2gehkyai7Ehn+Li73+Wy3Z9fX1hb29faKco27ZtQ6NGjaBUKuHi4oLFixerLXdxccFnn32Gt99+G+bm5qhZsyZWr14tLc/KykJQUBAcHBxgZGQEZ2dnaXtvv/22Rreo2dnZsLW1xffffw/g2WAp7733HqZOnQpra2vY29trPNsRHx+Pvn37wszMDBYWFhg4cCASExOl5bNmzYKHhwfWr18PFxcXqFQqDB48WBqkZN26dahatSoyMzPV1uvv7y913pO3jh9++AE1a9aEmZkZxo0bh5ycHCxYsAD29vawtbXFvHnzihVbYGCgRicswcHBas8ebN26FU2aNIGxsTGqVq0KX19fpKamav15FRWTMBERniXgD1eGI96uPZ64+uCmfQd8uDK8XBKxvr4+PvvsMyxduhT//vuvxvLz589j4MCBGDx4MP7880/MmjULn3zyCcLCwtTqLV68GC1btsTFixcxbtw4jB07Vuqe9+uvv8auXbvw888/IyYmBhs2bICLiwuAZ8OqHjhwAHfu3JHWtWfPHqSlpWHQoEFS2dq1a2FqaoqzZ89iwYIFmDNnjtQ/f25uLvr27YsHDx7g+PHjOHz4MK5fv67WHng2YteOHTuwZ88e7NmzB8ePH8fnn38OABgwYABycnKwa9cuqf7du3exd+9evP3222rr2L9/Pw4cOICffvoJ33//PXr27Il///0Xx48fx/z58/Hxxx/j7NmzxYqtMHfu3MGQIUOkXtSOHTuGN9544+VvF8jWTQgRFVtGRoYYMWKEcHJyEubm5sLT01OcPn1a7rAqhbEhn4qeS46LXl//T5p6LjkuxoZ8WqbbDQgIEH379hVCCNGmTRvx9ttvCyGECA8Pl3o1Gzp0qOjSpYtauylTpgg3Nzdp3tnZWbz55pvSfG5urrC1tRUrVqwQQggxYcIE0blz5wJ7dHNzcxPz58+X5nv37i0CAwOl+Y4dO4p27dqptWnVqpX48MMPhRBCHDp0SOjr64v4+Hhp+aVLlwQAce7cOSHEs57aTExMREpKitp+eHp6SvNjx44V3bt3l+YXL14satWqJcWtbR1+fn7CxcVF5OTkSGX169cXoaGhRY4t/88hz/vvvy86duwohPiv5zVtvSC+DJ4JE+mQp0+fwsXFBSdPnsSjR48QHByM3r17s/e3UvAwIxeK5/q4Vujp4WFGbgEtSt/8+fOxdu1atb6qgWfjaT8/BGPbtm1x9epVtXfRmzZtKv1boVDA3t4ed+/eBfDscmtUVBTq16+P9957D4cOHVJb38iRI7FmzRoAQGJiIvbv36929vn8+gHAwcFBWv+VK1fg5OSk1j+3m5sbLC0t1fbHxcVFbbS2/OsAgFGjRuHQoUO4desWACAsLAyBgYFq46w/vw47Ozu4ubmp9VFuZ2dX7NgK4+7ujtdeew1NmjTBgAED8O2335bKPXwmYSIdYmpqihkzZqBmzZrQ09PD4MGDYWhoqHUYQSoeKyM9iOdHkMrNhZVR+f2a7NChA/z8/BASElKi9gYGBmrzCoVCGhWrefPmiI2Nxdy5c5Geno6BAwdKY2EDz8bWvn79OiIjI/Hjjz/C1dUV7du3L/L6SyNGAGjWrBnc3d2xbt06nD9/HpcuXUJgYOAL1/Gysenp6WlcWs7Ozpb+ra+vj8OHD2P//v1wc3PD0qVLUb9+fY0x6ouLSZgqjczMTHz44YdwdHSEsbExPD09NcaTLsjVq1cxePBg1KhRAyYmJmjQoAHmzJmjNlQhABw7dgwKhULrdObMmRLHfvDgQbV1GRgYoE6dOpg1axaysrIKjfvBgweoU6dOibedX0k/w7wzlYKmvLMaALh06RIGDBiAWrVqwcTEBNWqVUOHDh2kISzlMmpQH2RFH5MSscjNRVb0MYwa1Kdc4/j888+xe/dutWEhGzZsiFOnTqnVO3XqFOrVq6d1DOqCWFhYYNCgQfj222+xefNmbNu2DQ8ePAAAVK1aFf7+/lizZg3CwsKKPT53w4YNcfPmTdy8eVMqu3z5Mh49elTsoSxHjhyJsLAwrFmzBr6+vgWOflWasdnY2KjdEweAqKgotXmFQoG2bdti9uzZuHjxIgwNDREeHv5SsbHHLKo08gbmCA4ORt26dREWFoYePXrg6NGjaNeuXYHtbt68idatW0OlUiEoKAjW1taIjIzEzJkzcf78eezcuVOjzXvvvYdWrVqplb1MIvz9998BAF988QVsbGyQlpaGLVu2YPbs2cjMzNT61Gx6ejrefPNNhISEQKVSlXjb+ZX0MxwzZoxG5zVCCLz77rtwcXFB9erVpfIbN27g8ePHCAgIgKOjI9LS0rBt2zb06dMHq1atwujRo0tlX4qrmXsTzH8X+HbzLjzMeHYGPOrd19HMvUm5xtGkSRMMGzYMX3/9tVQ2efJktGrVCnPnzsWgQYMQGRmJb775BsuXLy/yer/44gs4ODigWbNm0NPTw5YtW2Bvbw9LS0upzsiRI9GrVy/k5OQgICCgWHH7+vpKsS9ZsgRPnz7FuHHj0LFjR7Rs2bJY6xo6dCg++OADfPvtt1i3bl2x2pY0ts6dO2PhwoVYt24dvLy88OOPP+Kvv/5Cs2bNAABnz55FREQEunbtCltbW5w9exZJSUlo2LDhywVXqneYSeeVdChHuZ09e1ZjuL709HRRu3Zt4eXlVWjbefPmCQDir7/+UisfPny4ACAePHgglRU0FN/LGjZsmDAyMhJPnz6VyjIzM4W9vb1wdXXVqJ+VlSV69uwphg4dWqKhE7V5mc9Qm//9738CgJg3b94L6z59+lS4u7uL+vXrF3s7uk7bA0GxsbHC0NBQbbjJrVu3Cjc3N2mo1Pw/JyGePZj15ZdfqpW5u7uLmTNnCiGEWL16tfDw8BCmpqbCwsJCvPbaa+LChQtq9XNzc4Wzs7Po0aOHRpwdO3YU77//vlpZ37591YYwvXHjhujTp48wNTUV5ubmYsCAASIhIUFaPnPmTOHu7q62ji+//FLr8JBvvfWWsLa2FhkZGWrl2tah7TN8Pt4XxSaEEDNmzBB2dnZCpVKJiRMniqCgIOnBrMuXLws/Pz9hY2MjlEqlqFevntpQsSXFJFwB5I3teuXKFTFgwABhbm4urK2txXvvvSfS09PV6v77779ixIgRwtbWVhgaGgo3Nzfx/fffq9WJi4sTY8eOFfXq1RNGRkbC2tpa9O/fX8TGxmrd7qVLl8SQIUOEpaWl8PDwEEIIkZKSIt5//33h7OwsDA0NhY2NjfD19RXnz59XW8eFCxdEt27dpDGMO3fuLCIjI7Vu5+rVqyIgIECoVCphYWEhAgMDRWpqaql8hlOmTBH6+voiOTlZrfyzzz4TANSeinzehx9+KACIpKQkjXI9PT21P0zyJ+GUlBSRnZ1dKvE3btxYtGjRQqO8efPmwtraWq0sJydHDBo0SPTq1avUti/Ey32G2owdO1YoFAqN711BevXqJezs7Iq1DSpdjx8/FhYWFmLbtm1yhyI6d+4sJkyYIHcYZY6XoyuQgQMHwsXFBaGhoThz5gy+/vprPHz4ULock5iYiDZt2kChUCAoKAg2NjbYv38/3nnnHaSkpCA4OBgA8Ouvv+L06dPSPc64uDisWLECnTp1wuXLl2FiYqK23QEDBqBu3br47LPPpAcT3n33XWzduhVBQUFwc3PD/fv3cfLkSVy5cgXNmzcH8OzeXvv27WFhYYGpU6fCwMAAq1atQqdOnXD8+HF4enpq7J+rqytCQ0Nx4cIFfPfdd7C1tcX8+fOlOtnZ2S8cQSePtbW19DTkxYsXUa9ePVhYWKjVad26NYBn93YKuq/UqVMnzJ8/H++88w5mz56NqlWr4vTp01ixYgXee+89mJqaarQZMWIEnjx5An19fbRv3x4LFy4s9iW3PFlZWYiJiZE6I8hz+/ZtXL58GR07dlQrHzNmDO7cuYODBw+iShXNQ1iOz1BbDD///DO8vb2ld1Gfl5qaKo2YtGvXLuzfv79Y721S6cnNzcW9e/ewePFiWFpaok+f8r0Pnt/Dhw9x7NgxHDt2rFiX23WW3H8F0H9nin369FErHzdunAAgfv/9dyGEEO+8845wcHAQ9+7dU6s3ePBgoVKpRFpamhBCSP/PLzIyUgAQ69at09jukCFDNOqrVCoxfvz4QuP29/cXhoaG4p9//pHKbt++LczNzUWHDh00tpP3/mOe119/XVStWlWtLO9MsyhT/jOsRo0aic6dO2vEmPcu4MqVKwvdl7lz5wpjY2O19U+fPl2j3qlTp0S/fv3E999/L3bu3ClCQ0NF1apVhZGRkcalvaK6ePGiACDmzp0rkpKSxO3bt8WBAweEu7u7MDU1Fb/++qtUNy4uTgAQRkZGwtTUVJpOnDgh1ZHrM8xv9+7dAoBYvnx5gXXGjBkjxaGnpyf69++vdumfyk9sbKwAIGrUqCGOHDkiayzOzs7CwsJC43J7ZcUz4Qpk/PjxavMTJkzA8uXLsW/fPjRp0gTbtm3DwIEDIYTAvXv3pHp+fn7YtGkTLly4gLZt28LY2Fhalp2djZSUFNSpUweWlpa4cOGCxhnXu+++qxGLpaUlzp49i9u3b8PR0VFjeU5ODg4dOgR/f3+1EZEcHBwwdOhQfPvtt0hJSVE7q3p+O+3bt0d4eLhaPXd39yI/0Zx/POf09HQolUqNOkZGRtLywri4uKBDhw7o168fqlatir179+Kzzz6Dvb09goKCpHre3t7w9vaW5vv06YP+/fujadOmCAkJwYEDB4oUe35//PEHAOCTTz7BJ598IpV36tQJJ0+ehIeHh1Tm7Oz8wh565PoM89u4cSMMDAwwcODAAusEBwejf//+uH37Nn7++Wfk5OQU+iQ4lR0XF5cKM1BEXFyc3CGUKybhCqRu3bpq87Vr14aenh7i4uKQlJSER48eYfXq1Wr9weaX92J6eno6QkNDsWbNGty6dUvt4NJ2mVLb+L8LFixAQEAAnJyc0KJFC/To0QPDhw+XEm5SUhLS0tJQv359jbYNGzZEbm4ubt68iUaNGknlNWvWVKuXNxTdw4cPpSRsZWVVoiEijY2NNfqbBZ4NrZi3vCCbNm3C6NGj8ffff6NGjRoAgDfeeAO5ubn48MMPMWTIEFStWrXA9nXq1EHfvn2xfft25OTkFOuVEeC/J6P37t0LQ0NDJCYmIjQ0FOfPny/RU89yfIb5PXnyBDt37oSfn1+hn1uDBg3QoEEDAM/eUe3atSt69+6Ns2fPqnXMQFSZMQlXYPl/EeW9dP7mm28W+OpAXm82EyZMwJo1axAcHAwvLy+oVCooFAoMHjxY68vr2n65Dhw4UDpTPXToEBYuXIj58+dj+/bt6N69e4n2p6DklP+PhKysLOm9xRexsbGR1ung4KD2LmqevPf+tJ3N51m+fDmaNWsmJeA8ffr0QVhYGC5evPjCpObk5ISsrCykpqZq3FN9kT/++APOzs7o0aOHVNa8eXO4ublh+fLlWLhwYbHWJ8dnmN+OHTuQlpaGYcOGFTHiZ/r3748xY8bg77//1vrHHVFlxCRcgVy9elXtrPTatWvIzc2Fi4sLbGxsYG5ujpycnBcmhK1btyIgIEBtlJWMjAw8evSoWPE4ODhg3LhxGDduHO7evYvmzZtj3rx56N69O2xsbGBiYqK1p6bo6Gjo6emV6AX706dPw8fHp0h1Y2NjpYd+PDw8cPToUY1L4HkduOe/pPu8xMRErQPE5/WW8/Tp0xfGcv36dRgZGcHMzKxIsef3xx9/SA8/5WnYsCFatmyJbdu2FTsJy/EZ5rdhwwaYmZkV++GevMvdRX2ojKgyYBKuQJYtW4auXbtK80uXLgUAdO/eHfr6+ujXrx82btyIv/76C40bN1Zrm5SUBBsbGwDPzjifv7+zdOlStT5mC5OTk4MnT56oXQq1tbWFo6OjdLlSX18fXbt2xc6dOxEXFyf9Ik9MTMTGjRvRrl27Yp8RAiW/n9m/f38sWrQIq1evxgcffADgWe9Pa9asgaenp/QHQVpaGuLj41GtWjVUq1YNAFCvXj0cOnQIf//9N+rVqyet86effoKenp5af7n5P+c8v//+O3bt2oXu3bur9V1bFAkJCbh7967GzxN4dq9/3rx5uHLlSrE6BCjrzxDQ/jkCzz6fI0eOYMiQIRpP4ee5e/cubG1t1cqys7Oxbt06GBsbF7t3JSJdxiRcgcTGxqJPnz7o1q2b1H/r0KFD4e7uDuBZd3ZHjx6Fp6cnRo0aBTc3Nzx48AAXLlzAkSNHpEuQvXr1wvr166FSqeDm5obIyEgcOXKk0Ptz+T1+/Bg1atRA//794e7uDjMzMxw5cgS//vqr2tn1p59+isOHD6Ndu3YYN24cqlSpglWrViEzMxMLFiwo0WdQ0vuZnp6eGDBgAEJCQnD37l3UqVMHa9euRVxcnDQeKgCcO3cOPj4+mDlzpjQW6pQpU7B//360b98eQUFBqFq1Kvbs2YP9+/dj5MiRapdhBw0aBGNjY3h7e8PW1haXL1/G6tWrYWJiIg3HlkehUKBjx444duxYgXHn3Q9u0kSzV6auXbti3rx52Lt3b7GScFl/hoD2zxEANm/ejKdPnxZ6KXrMmDFISUlBhw4dUL16dSQkJGDDhg2Ijo7G4sWLS3Q1gUhnyfloNj2T9wrP5cuXRf/+/YW5ubmwsrISQUFBGp11JCYmivHjxwsnJydhYGAg7O3txWuvvSZWr14t1Xn48KEYMWKEqFatmjAzMxN+fn4iOjpaODs7q/Vuk7fd5zupyMzMFFOmTBHu7u5SJxzu7u5aXze5cOGC8PPzE2ZmZsLExET4+PhoDK1X0HbWrFmj8ZrMy0hPTxcffPCBsLe3F0qlUrRq1UocOHBACCFEyPY/xLbzN6XXd/J6Ecpz9uxZ0b17d2Fvby8MDAxEvXr1xLx58zQ6w/jqq69E69athbW1tahSpYpwcHAQb775prh69apavcePHwsAYvDgwYXGvGDBArXX0PLLysoS5ubmwsfHpwSfRskU9hnmV9Dn2KZNG2Fra6vW89fzfvrpJ+Hr6yvs7OxElSpVhJWVlfD19RU7d+4s7d0hqvAUQlSQ59JfYbNmzcLs2bORlJSkdmmPSo/LtL0AgLjPe5bL9vbt24devXrh999/13qWS/SqmTVrFnbs2KExKMKrjqMoEZWBo0ePYvDgwUzAVKikpCSMHTsWNWvWhFKphL29Pfz8/NRGTFIoFNixY0e5xZSQkIAJEyagVq1aUCqVcHJyQu/evREREVFuMbxKeE+YqAwU94lmejX169cPWVlZWLt2LWrVqoXExERERETg/v37ssQTFxeHtm3bwtLSEgsXLkSTJk2QnZ2NgwcPYvz48YiOjpYlrsqMZ8JERP/v8u8X8c30MVj1QX8snT4al3+/WGbbevToEf73v/9h/vz58PHxgbOzM1q3bo2QkBDp9a68tw5ef/11KBQKtX64V6xYgdq1a8PQ0BD169fH+vXr1davUCiwYsUKdO/eHcbGxqhVqxa2bt1aaEzjxo2DQqHAuXPn0K9fP9SrVw+NGjXCpEmT1MbLjo+PR9++fWFmZgYLCwsMHDgQiYmJauv6/PPPYWdnB3Nzc7zzzjtSpy95cnNzMWfOHNSoUQNKpRIeHh5qPc7FxcVBoVBg+/bt8PHxgYmJCdzd3dXGWa4U5L4pTVQenD/cI5w/3CN3GFSBXYq6IMKCOoic5e2FWPns/2FBHcSlqJL1Cf4i2dnZwszMTAQHB2sM15fn7t27AoBYs2aNuHPnjrh7964QQojt27cLAwMDsWzZMhETEyMWL14s9PX1xS+//CK1BSCqVq0qvv32WxETEyM+/vhjoa+vLy5fvqx1W/fv3xcKhUJ89tlnhcadk5MjPDw8RLt27cRvv/0mzpw5I1q0aCEN+SeEEJs3bxZKpVJ89913Ijo6WkyfPl2Ym5urDUH4xRdfCAsLC/HTTz+J6OhoMXXqVGFgYCD+/vtvIcR//Vk3aNBA7NmzR8TExIj+/fsLZ2fnUh09TG5MwvRKYBKmF1n60WgpAedNOcvbi6UfjS6zbW7dulVYWVkJIyMj4e3tLUJCQjSelAcgwsPD1cq8vb3FqFGj1MoGDBigNg4wAPHuu++q1fH09BRjx47VGkveeNLbt28vNOZDhw4JfX19taEt8wb5OHfunBBCCC8vLzFu3DiNbedPwo6OjhpjTbdq1Upql5eEv/vuO43tXLlypdAYdQkvRxMRATDIvA89PfU+q/X0FDDILFoXoCXRr18/3L59G7t27UK3bt1w7NgxNG/eHGFhYYW2u3LlCtq2batW1rZtW1y5ckWtzMvLS2P++Tp5RBFflLly5QqcnJzUOm9xc3ODpaWltO4rV65oDGWaP5aUlBTcvn27SPuQv7McBwcHAP/1k18ZMAkTEQHIVlZFbq56IsrNFchWWpfpdo2MjNClSxd88sknOH36NAIDAzFz5swy3aY2devWhUKhqHAPXxkYGEj/zutPX1sf+LqKSZiICEDnge9i/WWFlIhzcwXWX1ag80DNoT7LkpubG1JTU6V5AwMDjS5nGzZsqPYaEwCcOnVKo8vP/A9T5c0X1PuatbU1/Pz8sGzZMrXt58nre75hw4a4efMmbt68KS27fPkyHj16JG2/YcOGUp/j2mKxsLCAo6NjkfahsuMrSkREANzcmwEjl2D5zythkPkA2UprdB757rPyMnD//n0MGDAAb7/9Npo2bQpzc3P89ttvWLBgAfr27SvVc3FxQUREBNq2bQulUgkrKytMmTIFAwcORLNmzeDr64vdu3dj+/btOHLkiNo2tmzZgpYtW6Jdu3bYsGEDzp07p9EFaX7Lli1D27Zt0bp1a8yZMwdNmzbF06dPcfjwYaxYsQJXrlyBr68vmjRpgmHDhmHJkiV4+vQpxo0bh44dO6Jly5YAgPfffx+BgYFo2bIl2rZtiw0bNuDSpUtqY49PmTIFM2fORO3ateHh4YE1a9YgKioKGzZsKOVPuoKT+6Y0UXngg1lU0WRkZIhp06aJ5s2bC5VKJUxMTET9+vXFxx9/LNLS0qR6u3btEnXq1BFVqlQRzs7OUvny5ctFrVq1pG5W161bp7Z+AGLZsmWiS5cuQqlUChcXF7F58+YXxnX79m0xfvx44ezsLAwNDUX16tVFnz59xNGjR6U6N27cEH369BGmpqbC3NxcDBgwQCQkJKitZ968eVLXuQEBAWLq1KlqD2bl5OSIWbNmierVqwsDAwPh7u4u9u/fLy3PezDr4sWLUtnDhw8FALVYdB27raRXQnl3W0kkN4VCgfDwcPj7+8sdChWC94SJiIhkwiRMREQkEz6YRURUCfFOo27gmTAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkkypyB1DRCSHw+PFjucN4pQghcD7uIe6lZpawPaBQqJflZqYBAH4+HQMhnpU9X8e7TjVYGBmUaJtUfszNzaF4/odHpKMUQuT9SiJtkpKSYGtrK3cYRPT/7t69CxsbG7nDICoVPBN+AUNDQwDAzZs3YWFhIXM0ZSMlJQVOTk6Vdh8r+/4Br9Y+5h2TRJUBk/AL5F32srCwqLS/3PJU9n2s7PsHvBr7yEvRVJnwwSwiIiKZMAkTERHJhEn4BZRKJWbOnAmlUil3KGWmsu9jZd8/gPtIpKv4dDQREZFMeCZMREQkEyZhIiIimTAJExERyURnknBoaChatWoFc3Nz2Nrawt/fHzExMS9st2XLFjRo0ABGRkZo0qQJ9u3bVw7REhERvZjOJOHjx49j/PjxOHPmDA4fPozs7Gx07doVqampBbY5ffo0hgwZgnfeeQcXL16Ev78//P398ddff5Vj5ERERNrp7NPReX06Hz9+HB06dNBaZ9CgQUhNTcWePXuksjZt2sDDwwMrV64sr1CJiIi00tluK5OTkwEA1tbWBdaJjIzEpEmT1Mr8/PywY8eOAttkZmYiM/O/0XuEEMjKykK1atXYXR5RBcfjl3SNzlyOzi83NxfBwcFo27YtGjduXGC9hIQE2NnZqZXZ2dkhISGhwDahoaFQqVTSZGlpCVtbWw5nSKQDePySrtHJJDx+/Hj89ddf2LRpU6mvOyQkBMnJydJ08+bNUt8GEZUNHr+ka3TucnRQUBD27NmDEydOoEaNGoXWtbe3R2JiolpZYmIi7O3tC2yjVCrZLR6RjuLxS7pGZ86EhRAICgpCeHg4fvnlF7i6ur6wjZeXFyIiItTKDh8+DC8vr7IKk4iIqMh05kx4/Pjx2LhxI3bu3Alzc3Ppvq5KpYKxsTEAYPjw4ahevTpCQ0MBAO+//z46duyIxYsXo2fPnti0aRN+++03rF69Wrb9ICIiyqMzZ8IrVqxAcnIyOnXqBAcHB2navHmzVCc+Ph537tyR5r29vbFx40asXr0a7u7u2Lp1K3bs2FHow1xERETlRWffEy4vKSkpUKlUSE5OhoWFhdzhEFEx8Pilik5nzoSJiIgqGyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyUSnkvCJEyfQu3dvODo6QqFQYMeOHYXWP3bsGBQKhcaUkJBQPgETEREVQqeScGpqKtzd3bFs2bJitYuJicGdO3ekydbWtowiJCIiKroqcgdQHN27d0f37t2L3c7W1haWlpalHxAREdFL0Kkz4ZLy8PCAg4MDunTpglOnThVaNzMzEykpKWoTEekGHr+kayp1EnZwcMDKlSuxbds2bNu2DU5OTujUqRMuXLhQYJvQ0FCoVCppcnJyKseIiehl8PglXaMQQgi5gygJhUKB8PBw+Pv7F6tdx44dUbNmTaxfv17r8szMTGRmZkrzKSkpcHJyQnJyMiwsLF4mZCIqYzx+Sdfo1D3h0tC6dWucPHmywOVKpRJKpbIcIyKi0sLjl3RNpb4crU1UVBQcHBzkDoOIiEi3zoSfPHmCa9euSfOxsbGIioqCtbU1atasiZCQENy6dQvr1q0DACxZsgSurq5o1KgRMjIy8N133+GXX37BoUOH5NoFIiIiiU4l4d9++w0+Pj7S/KRJkwAAAQEBCAsLw507dxAfHy8tz8rKwuTJk3Hr1i2YmJigadOmOHLkiNo6iIiI5KKzD2aVl5SUFKhUKj7YQaSDePxSRffK3RMmIiKqKJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBOdSsInTpxA79694ejoCIVCgR07drywzbFjx9C8eXMolUrUqVMHYWFhZR4nERFRUehUEk5NTYW7uzuWLVtWpPqxsbHo2bMnfHx8EBUVheDgYIwcORIHDx4s40iJiIherIrcARRH9+7d0b179yLXX7lyJVxdXbF48WIAQMOGDXHy5El8+eWX8PPzK6swiYiIikSnzoSLKzIyEr6+vmplfn5+iIyMlCkiIiKi/+jUmXBxJSQkwM7OTq3Mzs4OKSkpSE9Ph7GxsUabzMxMZGZmSvMpKSllHicRlQ4ev6RrKvWZcEmEhoZCpVJJk5OTk9whEVER8fglXVOpk7C9vT0SExPVyhITE2FhYaH1LBgAQkJCkJycLE03b94sj1CJqBTw+CVdU6kvR3t5eWHfvn1qZYcPH4aXl1eBbZRKJZRKZVmHRkRlgMcv6RqdOhN+8uQJoqKiEBUVBeDZK0hRUVGIj48H8Oyv4OHDh0v13333XVy/fh1Tp05FdHQ0li9fjp9//hkTJ06UI3wiIiI1OpWEf/vtNzRr1gzNmjUDAEyaNAnNmjXDjBkzAAB37tyREjIAuLq6Yu/evTh8+DDc3d2xePFifPfdd3w9iYiIKgSFEELIHURFlpKSApVKheTkZFhYWMgdDhEVA49fquh06kyYiIioMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUx0LgkvW7YMLi4uMDIygqenJ86dO1dg3bCwMCgUCrXJyMioHKMlIiIqmE4l4c2bN2PSpEmYOXMmLly4AHd3d/j5+eHu3bsFtrGwsMCdO3ek6caNG+UYMRERUcF0Kgl/8cUXGDVqFEaMGAE3NzesXLkSJiYm+OGHHwpso1AoYG9vL012dnblGDEREVHBdCYJZ2Vl4fz58/D19ZXK9PT04Ovri8jIyALbPXnyBM7OznByckLfvn1x6dKl8giXiIjoharIHUBR3bt3Dzk5ORpnsnZ2doiOjtbapn79+vjhhx/QtGlTJCcnY9GiRfD29salS5dQo0YNrW0yMzORmZkpzaekpJTeThBRmeLxS7pGZ86ES8LLywvDhw+Hh4cHOnbsiO3bt8PGxgarVq0qsE1oaChUKpU0OTk5lWPERPQyePySrtGZJFytWjXo6+sjMTFRrTwxMRH29vZFWoeBgQGaNWuGa9euFVgnJCQEycnJ0nTz5s2XipuIyg+PX9I1OpOEDQ0N0aJFC0REREhlubm5iIiIgJeXV5HWkZOTgz///BMODg4F1lEqlbCwsFCbiEg38PglXaMz94QBYNKkSQgICEDLli3RunVrLFmyBKmpqRgxYgQAYPjw4ahevTpCQ0MBAHPmzEGbNm1Qp04dPHr0CAsXLsSNGzcwcuRIOXeDiIgIgI4l4UGDBiEpKQkzZsxAQkICPDw8cODAAelhrfj4eOjp/Xdy//DhQ4waNQoJCQmwsrJCixYtcPr0abi5ucm1C0RERBKFEELIHURFlpKSApVKheTkZF7aItIxPH6potOZe8JERESVDZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYXrlRUfHYPf+gxwAnojKnU4NZUhUmjIyMvD+jM9xLdsKwtwO+vt/Qks7fcwLmag2JCYRUVlhEqZKLT7+JlZv3IYHqZlwtbPCmOGDpSHtFi77DnFWLWFiZvmssk0N/JoUjx9/3o7hg/vLFzQRvTL45z5VWhd//xOj5q3GBcMmuGnbFkee1MDwKZ/i4cOHAIA/btyDYV4C/n/GNjVx4mKMDNFSWXqckS13CERaMQlTpbVsQzgMGnWFvoESAGBoaoGM2p2xLGxjoe1EeQRH5Wr+/mi5QyDSikmYKq2ktFwoFAq1MgNjM9y4mwIAaFjDGlmpKWrL0+/9i7ZN65RbjFQ+zsU9kDsEIq2YhKnSMtXyxIPIzYGZ4bOv/bSgkaiRdBZpcVFIf5CIjGtn4aF3E4FDBpRzpET0qtK5JLxs2TK4uLjAyMgInp6eOHfuXKH1t2zZggYNGsDIyAhNmjTBvn37yilSklvPth7IuK1+fzc9+gRe922L3NxcmJiY4LtFs/BlYCeMbmqIle+9jkUzp/DJ6ErouQsiRBWGQgihM7fANm/ejOHDh2PlypXw9PTEkiVLsGXLFsTExMDW1laj/unTp9GhQweEhoaiV69e2LhxI+bPn48LFy6gcePGRdpmSkoKVCoVkpOTpadqqWLKysrCL8dPIi09Hb6d2sPCwgIKhQIKIxMYmloi8/5tePYbDQvH2lCJx3jH/zV0e62T3GFTGco7ftvM3oXIGb3lDodIg04lYU9PT7Rq1QrffPMNACA3NxdOTk6YMGECpk2bplF/0KBBSE1NxZ49e6SyNm3awMPDAytXrizSNpmEdcPF3//EjGUb8MSmERRVlFDevYwDK2fDpHZLmLp3g2FVJ2Tc/AvplyOQFn8Zvb7+HzKij2HlpKGoXbuW3OFTGWESpoqu2Nfd0tPTcfLkSVy+fFljWUZGBtatW1cqgT0vKysL58+fh6+vr1Smp6cHX19fREZGam0TGRmpVh8A/Pz8CqxPuik3NxdzV/0E0bgnzOxdYVrNEVXcfGHi3BhVe06Cad3WMLB2gLl7F6g6jYSyqiMAwKC2N8K27pY5eiJ6lRWrs46///4bXbt2RXx8PBQKBdq1a4dNmzbBwcEBAJCcnIwRI0Zg+PDhpR7ovXv3kJOTAzs7O7VyOzs7REdrf/0gISFBa/2EhIQCt5OZmYnMzExpPiUlpcC6VDFER0fjgVF1mD93469KVWfoG5uplSkd6sCgmjMAQN/AEE9SssotTip7BR2/tx5mIOxUrMbT8gCQdzFQqJVBrexFFwz/qy/U5tXXoaXdc/WFEBDiWRshgNx8sf23TL2OwLMZoaW9gEBXN3t41a5aaPwkn2Il4Q8//BCNGzfGb7/9hkePHiE4OBht27bFsWPHULNmzbKKsVyFhoZi9uzZcodBxaCnpweIXM0FBfzizPuFmno3Hl7NG5RlaFTOCjt+Z+3WvHr3KlhzKg5xn/eUOwwqQLGS8OnTp3HkyBFUq1YN1apVw+7duzFu3Di0b98eR48ehampaVnFiWrVqkFfXx+JiYlq5YmJibC3t9faxt7evlj1ASAkJASTJk2S5lNSUuDk5PQSkVNZq1evHmwy1yI91x2KfE82Z9+LxdPUZFQxVUllGf9ewdN7N5CW8A9qZ17HG70/kSNkKiOFHb+hbzRB3nmwQgEooMD///fsAb688v9flv+kOf9yqez/16btyev8Rf8tV2gp+4+elhi0xvf/sSn+f5V583qK/2LW+/+FCgXgbG1S2EdGMitWEk5PT0eVKv81USgUWLFiBYKCgtCxY0ds3Fh4T0Qvw9DQEC1atEBERAT8/f0BPLsXGBERgaCgIK1tvLy8EBERgeDgYKns8OHD8PLyKnA7SqUSSqWyNEOnMqanp4dZEwLx8ZIf8FBVB6iihOmDq0i/eQX3934B00adYWDjjIwbfyDj6ilkPriDiR0c0d33Tejr68sdPpWigo7f6lZGGNK6clyto0pGFEOrVq3EunXrtC4bP368sLS0FHp6esVZZbFs2rRJKJVKERYWJi5fvixGjx4tLC0tRUJCghBCiLfeektMmzZNqn/q1ClRpUoVsWjRInHlyhUxc+ZMYWBgIP78888ibzM5OVkAEMnJyaW+P1S6nj59Kk6dPiMORxwVqampQgghfjlxSgAQBhbWAoCI/vuqzFFSeco7ftvM3iV3KERaFetM+PXXX8dPP/2Et956S2PZN998g9zc3CK/+lMSgwYNQlJSEmbMmIGEhAR4eHjgwIED0sNX8fHxah0teHt7Y+PGjfj444/x0UcfoW7dutixY0eR3xEm3aKvrw9vL0+1Mp/23i98qIaISC469Z6wHPieMJHu4nvCVNGxfz6q9KKjY7DnwCHcuXNH7lCIiNQU63I0kS5JS0vD+zMX4PpTK+Sa2cBw3zp41jDG7CkTtL4vSkRU3ngmTJXWZ1+vRnw1T5jUagEz25owrNsWp5JV2Lpzr9yhEREBYBKmSuzyvw9haGKuVmZiXxtHzv0hU0REROqYhKnSKvCJQz6K+MrJ1dKhGlFFwCRMlVZ9BxWy01PVytLvxqFjczeZIiK5cIhoqqj41aRKa/p7o2B36wTSbvyB9IeJyLh2Bi2UCRjcr4/coRERAeDT0VSJmZubI2zJp7hw8Xf8HXsDns36oVYtV7nDIiKSMAlTpaZQKNCiuQdaNPeQOxQiIg28HE1ERCQTJmEiIiKZ8HI0VSj379/H1t0HkJOTi/69/WBrayt3SEREZYZJmCqMHfsOYsXuSAinFlDo6WHHrFUIfK0phvbrK3doRERlgpejqUJIS0vDt7tPwtDNF0pzKxiaqqBs6IN1Ry4iOTlZ7vCIiMoEkzBVCJHnfkWqVR2N8ixbNxw6ekKGiIiIyh6TMFUIJkbGwNMsjXLxNBPmpqYyRESViU99O7lDINKKSZgqhNatWsAq+RpEvk5+hRAwv3cJnTu2kzEyqgwmdqkrdwhEWjEJU4Wgr6+PzyaNhHHMPjy5fgGPr1+EMnofZo8bBkNDQ7nDIx2nrKIvdwhEWimEEBxTphApKSlQqVRITk6GhYWF3OFUekIIXL16Fbm5uahXrx702PM+vQQev1TR8RUlqlAUCgXq1asndxhEROVCZ04zHjx4gGHDhsHCwgKWlpZ455138OTJk0LbdOrUCQqFQm169913yyliIiKiwunMmfCwYcNw584dHD58GNnZ2RgxYgRGjx6NjRs3Ftpu1KhRmDNnjjRvYmJS1qESEREViU4k4StXruDAgQP49ddf0bJlSwDA0qVL0aNHDyxatAiOjo4FtjUxMYG9vX15hUpERFRkOnE5OjIyEpaWllICBgBfX1/o6enh7NmzhbbdsGEDqlWrhsaNGyMkJARpaWmF1s/MzERKSoraRES6gccv6RqdOBNOSEjQ6Mi/SpUqsLa2RkJCQoHthg4dCmdnZzg6OuKPP/7Ahx9+iJiYGGzfvr3ANqGhoZg9e3apxU5E5YfHL+kaWc+Ep02bpvHg1PNTdHR0idc/evRo+Pn5oUmTJhg2bBjWrVuH8PBw/PPPPwW2CQkJQXJysjTdvHmzxNsnovLF45d0jaxnwpMnT0ZgYGChdWrVqgV7e3vcvXtXrfzp06d48OBBse73enp6AgCuXbuG2rVra62jVCqhVCqLvE4iqjh4/JKukTUJ29jYwMbG5oX1vLy88OjRI5w/fx4tWrQAAPzyyy/Izc2VEmtRREVFAQAcHBxKFC8REVFp0okHsxo2bIhu3bph1KhROHfuHE6dOoWgoCAMHjxYejL61q1baNCgAc6dOwcA+OeffzB37lycP38ecXFx2LVrF4YPH44OHTqgadOmcu4OERERAB1JwsCzp5wbNGiA1157DT169EC7du2wevVqaXl2djZiYmKkp58NDQ1x5MgRdO3aFQ0aNMDkyZPRr18/7N69W65dICIiUsO+o1+Afc8S6S4ev1TR6cyZMBERUWXDJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZMAkTERHJhEmYiIhIJkzCREREMmESJiIikgmTMBERkUyYhImIiGTCJExERCQTJmEiIiKZ6EwSnjdvHry9vWFiYgJLS8sitRFCYMaMGXBwcICxsTF8fX1x9erVsg2UiIioiHQmCWdlZWHAgAEYO3ZskdssWLAAX3/9NVauXImzZ8/C1NQUfn5+yMjIKMNIiYiIikYhhBByB1EcYWFhCA4OxqNHjwqtJ4SAo6MjJk+ejA8++AAAkJycDDs7O4SFhWHw4MFF2l5KSgpUKhWSk5NhYWHxsuETUTni8UsVnc6cCRdXbGwsEhIS4OvrK5WpVCp4enoiMjKywHaZmZlISUlRm4hIN/D4JV1TaZNwQkICAMDOzk6t3M7OTlqmTWhoKFQqlTQ5OTmVaZxEVHp4/JKukTUJT5s2DQqFotApOjq6XGMKCQlBcnKyNN28ebNct09EJcfjl3RNFTk3PnnyZAQGBhZap1atWiVat729PQAgMTERDg4OUnliYiI8PDwKbKdUKqFUKku0TSKSF49f0jWyJmEbGxvY2NiUybpdXV1hb2+PiIgIKemmpKTg7NmzxXrCmoiIqKzozD3h+Ph4REVFIT4+Hjk5OYiKikJUVBSePHki1WnQoAHCw8MBAAqFAsHBwfj000+xa9cu/Pnnnxg+fDgcHR3h7+8v014QERH9R9Yz4eKYMWMG1q5dK803a9YMAHD06FF06tQJABATE4Pk5GSpztSpU5GamorRo0fj0aNHaNeuHQ4cOAAjI6NyjZ2IiEgbnXtPuLzxPUMi3cXjlyo6nbkcTUREVNkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmOpOE582bB29vb5iYmMDS0rJIbQIDA6FQKNSmbt26lW2gRERERVRF7gCKKisrCwMGDICXlxe+//77Irfr1q0b1qxZI80rlcqyCI+IiKjYdCYJz549GwAQFhZWrHZKpRL29vZlEBEREdHL0ZnL0SV17Ngx2Nraon79+hg7dizu378vd0hEREQAdOhMuCS6deuGN954A66urvjnn3/w0UcfoXv37oiMjIS+vr7WNpmZmcjMzJTmU1JSyitcInpJPH5J18h6Jjxt2jSNB6een6Kjo0u8/sGDB6NPnz5o0qQJ/P39sWfPHvz66684duxYgW1CQ0OhUqmkycnJqcTbJ6LyxeOXdI1CCCHk2nhSUtILLw/XqlULhoaG0nxYWBiCg4Px6NGjEm3TxsYGn376KcaMGaN1uba/pJ2cnJCcnAwLC4sSbZOIygePX9I1sl6OtrGxgY2NTblt799//8X9+/fh4OBQYB2lUsknqIl0FI9f0jU682BWfHw8oqKiEB8fj5ycHERFRSEqKgpPnjyR6jRo0ADh4eEAgCdPnmDKlCk4c+YM4uLiEBERgb59+6JOnTrw8/OTazeIiIgkOvNg1owZM7B27VppvlmzZgCAo0ePolOnTgCAmJgYJCcnAwD09fXxxx9/YO3atXj06BEcHR3RtWtXzJ07l38pExFRhSDrPWFdkJKSApVKxXtKRDqIxy9VdDpzOZqIiKiyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTHQiCcfFxeGdd96Bq6srjI2NUbt2bcycORNZWVmFtsvIyMD48eNRtWpVmJmZoV+/fkhMTCynqImIiAqnE0k4Ojoaubm5WLVqFS5duoQvv/wSK1euxEcffVRou4kTJ2L37t3YsmULjh8/jtu3b+ONN94op6iJiIgKpxBCCLmDKImFCxdixYoVuH79utblycnJsLGxwcaNG9G/f38Az5J5w4YNERkZiTZt2hRpOykpKVCpVEhOToaFhUWpxU9EZY/HL1V0OnEmrE1ycjKsra0LXH7+/HlkZ2fD19dXKmvQoAFq1qyJyMjI8giRiIioUFXkDqAkrl27hqVLl2LRokUF1klISIChoSEsLS3Vyu3s7JCQkFBgu8zMTGRmZkrzycnJAJ79RU1E8jM3N4dCodC67Pnjl8ctVXSyJuFp06Zh/vz5hda5cuUKGjRoIM3funUL3bp1w4ABAzBq1KhSjyk0NBSzZ8/WKHdycir1bRFR8d29exc2NjZalxV0/BJVVLLeE05KSsL9+/cLrVOrVi0YGhoCAG7fvo1OnTqhTZs2CAsLg55ewVfTf/nlF7z22mt4+PCh2tmws7MzgoODMXHiRK3tnv9L+tGjR3B2dkZ8fDxUKlUx9k53pKSkwMnJCTdv3qyU980q+/4Br9Y+Pnr0qMBj8fnjVwiBrKwsVKtWrcCzZyI5yXombGNjU+BftM+7desWfHx80KJFC6xZs6bQBAwALVq0gIGBASIiItCvXz8AQExMDOLj4+Hl5VVgO6VSCaVSqVGuUqkq7S+3PBYWFpV6Hyv7/gGvxj4WlkwLOn6JKiqdeDDr1q1b6NSpE2rWrIlFixYhKSkJCQkJavd2b926hQYNGuDcuXMAniXNd955B5MmTcLRo0dx/vx5jBgxAl5eXkV+MpqIiKgs6cSDWYcPH8a1a9dw7do11KhRQ21Z3tX07OxsxMTEIC0tTVr25ZdfQk9PD/369UNmZib8/PywfPnyco2diIioIDqRhAMDAxEYGFhoHRcXFzx/e9vIyAjLli3DsmXLSrxtpVKJmTNnVupLXJV9Hyv7/gHcRyJdpbOddRAREek6nbgnTEREVBkxCRMREcmESZiIiEgmTMJFVNLhFHXNvHnz4O3tDRMTE40uP3XVsmXL4OLiAiMjI3h6ekqvsVUGJ06cQO/eveHo6AiFQoEdO3bIHVKpCw0NRatWrWBubg5bW1v4+/sjJiZG7rCISgWTcBGVdDhFXZOVlYUBAwZg7NixcodSKjZv3oxJkyZh5syZuHDhAtzd3eHn54e7d+/KHVqpSE1Nhbu7+0u9AVDRHT9+HOPHj8eZM2dw+PBhZGdno2vXrkhNTZU7NKKXxqejX8KLhlPUZWFhYQgODsajR4/kDuWleHp6olWrVvjmm28AALm5uXBycsKECRMwbdo0maMrXQqFAuHh4fD395c7lDKVlJQEW1tbHD9+HB06dJA7HKKXwjPhl/Ci4RRJXllZWTh//rzacJZ6enrw9fXlcJY6LG9kMx57VBkwCZdQ3nCKY8aMkTsUKsC9e/eQk5MDOzs7tfIXDWdJFVdubi6Cg4PRtm1bNG7cWO5wiF7aK5+Ep02bBoVCUegUHR2t1qash1MsbSXZR6KKaPz48fjrr7+wadMmuUMhKhU60W1lWZo8efILu8SsVauW9O/bt2/Dx8cH3t7eWL16dRlHVzqKu4+VRbVq1aCvr4/ExES18sTERNjb28sUFZVUUFAQ9uzZgxMnTmj0IU+kq175JFyWwylWFMXZx8rE0NAQLVq0QEREhPSwUm5uLiIiIhAUFCRvcFRkQghMmDAB4eHhOHbsGFxdXeUOiajUvPJJuKjyhlN0dnaWhlPMU5nOquLj4/HgwQPEx8cjJycHUVFRAIA6derAzMxM3uBKYNKkSQgICEDLli3RunVrLFmyBKmpqRgxYoTcoZWKJ0+e4Nq1a9J8bGwsoqKiYG1tjZo1a8oYWekZP348Nm7ciJ07d8Lc3Fy6n69SqWBsbCxzdEQvSVCRrFmzRgDQOlUmAQEBWvfx6NGjcodWYkuXLhU1a9YUhoaGonXr1uLMmTNyh1Rqjh49qvXnFRAQIHdopaag427NmjVyh0b00vieMBERkUx046YmERFRJcQkTEREJBMmYSIiIpkwCRMREcmESZiIiEgmTMJEREQyYRImIiKSCZMwERGRTJiEiYiIZMIkTJXaiRMn0Lt3bzg6OkKhUGDHjh1yh0REJGESpkotNTUV7u7uWLZsmdyhEBFp4ChKVKl1794d3bt3lzsMIiKteCZMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDLh09FUqT158gTXrl2T5mNjYxEVFQVra2vUrFlTxsiIiACFEELIHQRRWTl27Bh8fHw0ygMCAhAWFlb+ARER5cMkTEREJBPeEyYiIpIJkzAREZFMmISJiIhkwiRMREQkEyZhIiIimTAJExERyYRJmIiISCZMwkRERDJhEiYiIpIJkzAREZFMmISJiIhkwiRMREQkk/8DWFMyQBdv7poAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, lasso_coeff=0.00064, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "non_replicate_groupers = list(set(id_vars) - set([\"data_replicate\", \"total_iterations\"]))\n",
-    "for id, mut_df_lasso in mut_dfs.groupby(non_replicate_groupers):\n",
-    "    # if not (id[0] == 4e-05 and id[2] == \"sigmoid\"):\n",
-    "    #     continue\n",
-    "    param_col_to_compare = [c for c in mut_df_lasso.columns if \"β\" in c]\n",
-    "    # fig, ax = plt.subplots(1, len(param_col_to_compare), figsize=(3 * len(param_col_to_compare), 3))\n",
-    "    title = \", \".join([f\"{k}={v}\" for k, v in zip(non_replicate_groupers, id)])\n",
-    "    print(title, flush=True)\n",
-    "    for fig_col, param_col in enumerate(param_col_to_compare):\n",
-    "        if \"+\" not in param_col:\n",
-    "            continue\n",
-    "        # pivot the table to have a column for each replicate \n",
-    "        pivoted = mut_df_lasso.pivot(index=\"mutation\", columns=\"data_replicate\", values=param_col).dropna()\n",
-    "        pivoted[\"Mutation Type\"] = [\"Stop Codon\" if \"*\" in mut else \"Nonsynonymous\" for mut in pivoted.index]\n",
-    "        # print(pivoted)\n",
-    "        r = pivoted[[\"1\", \"2\"]].corr().iloc[0, 1]\n",
-    "        r2 = round(r**2, 2)\n",
-    "        alpha=0.5 if \"+\" in param_col else 0.1\n",
-    "        # sns.scatterplot(pivoted, x=\"1\", y=\"2\", alpha=alpha, ax=ax[fig_col])\n",
-    "        prange = 2\n",
-    "        jp = sns.jointplot(\n",
-    "            pivoted, \n",
-    "            x=\"1\", \n",
-    "            y=\"2\", \n",
-    "            xlim=[-prange, prange],\n",
-    "            ylim=[-prange, prange],\n",
-    "            height=4, \n",
-    "            ratio=3,\n",
-    "            hue=\"Mutation Type\",\n",
-    "            kind=\"scatter\",\n",
-    "            alpha=0.8,\n",
-    "            s=20,\n",
-    "            edgecolor=\"black\",\n",
-    "            # density_joint=True,\n",
-    "        )\n",
-    "        # move legend outside \n",
-    "        jp.ax_joint.legend(loc='center left', bbox_to_anchor=(1, 1.35), frameon=False)\n",
-    "        title = f\"{param_col}\\npearson={r:.2f}, $R^2$={r2}\"\n",
-    "        # move title up\n",
-    "\n",
-    "        jp.figure.suptitle(title, y=1.05)\n",
-    "        plt.show()\n",
-    "        # break\n",
-    "\n",
-    "    # plt.suptitle(title)\n",
-    "    # plt.tight_layout()\n",
-    "    # break\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's plot the sparsity and replicate correlations as a function of the lasso weight"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "fixed_ref_column_shifts={\n",
-    "    \"β_Delta+-β_Omicron_BA1\" : \"shift_Delta\",\n",
-    "    \"-β_Omicron_BA1+β_Omicron_BA2\" : \"shift_Omicron_BA2\",\n",
-    "}\n",
-    "\n",
-    "# equivariant_column_shifts = {\n",
-    "    # \"β_Delta+-β_Omicron_BA1\" : \"Δ()\",\n",
-    "    # \"-β_Omicron_BA1+β_Omicron_BA2\" : \"Omicron_BA2\",\n",
-    "# }"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "chosen_lasso_strength = 0.00008"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array(9.97518234e-05, dtype=float64)"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_df.loc[0, \"state\"].error"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# if not os.path.exists(output_dir): os.mkdir(output_dir)\n",
-    "\n",
-    "rc_kwargs = {\n",
-    "    'legend.frameon': False,\n",
-    "    \"font.size\" : 11,\n",
-    "    \"font.weight\" : \"normal\"\n",
-    "}\n",
-    "\n",
-    "plt.rcParams.update(**rc_kwargs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "non_lasso_replicate_groupers = set(non_replicate_groupers) - set([\"lasso_coeff\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=linear, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 500x550 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "post_latent_fn=sigmoid, l2reg_beta=1e-07, smooth_obj_fn=cond_norm_sum_penalty\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 500x550 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# mut_df = mut_dfs\n",
-    "for id, mut_df in mut_dfs.groupby(list(non_lasso_replicate_groupers)):\n",
-    "\n",
-    "    title = \", \".join([f\"{k}={v}\" for k, v in zip(non_lasso_replicate_groupers, id)])\n",
-    "    print(title, flush=True)\n",
-    "    corr_sparsity_dict = defaultdict(list)\n",
-    "    for lasso_coeff, mut_df_lasso in mut_df.groupby(\"lasso_coeff\"):\n",
-    "        corr_sparsity_dict[\"scale_coeff_lasso_shift\"].append(lasso_coeff)\n",
-    "        param_col_to_compare = [c for c in mut_df_lasso.columns if \"β\" in c]\n",
-    "        for fig_col, param_col in enumerate(param_col_to_compare):\n",
-    "            if \"+\" not in param_col: continue\n",
-    "            pivoted = mut_df_lasso.pivot(index=\"mutation\", columns=\"data_replicate\", values=param_col).dropna()\n",
-    "            # print(pivoted.index.str.split())\n",
-    "            muts = pivoted.index.values\n",
-    "            pivoted = pivoted.assign(is_stop = [\"*\" in m for m in muts])\n",
-    "            # pivoted = pivoted.assign(is_stop = pivoted.index.str.contains(\"*\"))\n",
-    "\n",
-    "            r = pivoted.corr().iloc[0, 1]\n",
-    "\n",
-    "            corr_sparsity_dict[f\"replicate_corr_{param_col}\"].append(r)\n",
-    "            for replicate in [\"1\", \"2\"]:\n",
-    "\n",
-    "                corr_sparsity_dict[f\"{replicate}_stop_sparsity_{param_col}\"].append((pivoted.query(\"is_stop\")[replicate]==0).mean())\n",
-    "                corr_sparsity_dict[f\"{replicate}_nonsyn_sparsity_{param_col}\"].append((pivoted.query(\"~is_stop\")[replicate]==0).mean())\n",
-    "\n",
-    "    corr_sparsity_df = pd.DataFrame(corr_sparsity_dict)\n",
-    "    corr_df = (\n",
-    "        corr_sparsity_df[[\"scale_coeff_lasso_shift\"]+[c for c in corr_sparsity_df.columns if \"replicate_corr\" in c]]\n",
-    "        .melt(id_vars=\"scale_coeff_lasso_shift\", var_name=\"shift_params\", value_name=\"correlation\")\n",
-    "        .assign(\n",
-    "            mut_param = lambda x: x[\"shift_params\"].str.split(\"_\").str[2:].str.join(\"_\")\n",
-    "        )\n",
-    "        .drop(columns=\"shift_params\")\n",
-    "    )\n",
-    "    # corr_df\n",
-    "    sparsity_df = (\n",
-    "        corr_sparsity_df[[\"scale_coeff_lasso_shift\"]+[c for c in corr_sparsity_df.columns if \"sparsity\" in c]]\n",
-    "        .melt(id_vars=\"scale_coeff_lasso_shift\", var_name=\"shift_params\", value_name=\"sparsity\")\n",
-    "        .assign(\n",
-    "            replicate = lambda x: x[\"shift_params\"].str.split(\"_\").str[0],\n",
-    "            mut_type = lambda x: x[\"shift_params\"].str.split(\"_\").str[1],\n",
-    "            mut_param = lambda x: x[\"shift_params\"].str.split(\"_\").str[3:].str.join(\"_\")\n",
-    "        )\n",
-    "        .drop(columns=\"shift_params\")\n",
-    "    )\n",
-    "    # sparsity_df\n",
-    "    # saveas=\"shrinkage_analysis_trace_plots_beta\"\n",
-    "\n",
-    "    fig, ax = plt.subplots(2, figsize=[5, 5.5], sharex=True)\n",
-    "\n",
-    "    # replicate correlation\n",
-    "    iter_ax = ax[0]\n",
-    "    sns.lineplot(\n",
-    "        data=(\n",
-    "            corr_df\n",
-    "            .rename({\"mut_param\":\"shift params\"}, axis=1)\n",
-    "            .replace(fixed_ref_column_shifts)\n",
-    "            .assign(\n",
-    "                scale_coeff_lasso_shift = [\n",
-    "                    f\"{l:.1e}\" \n",
-    "                    for l in corr_df.scale_coeff_lasso_shift\n",
-    "                ],\n",
-    "                correlation = lambda x: x.correlation**2\n",
-    "            )\n",
-    "            .reset_index(drop=True)\n",
-    "        ),\n",
-    "        x=\"scale_coeff_lasso_shift\",\n",
-    "        y=\"correlation\",\n",
-    "        style=\"shift params\",\n",
-    "        markers=True,\n",
-    "        ax=iter_ax,\n",
-    "        linewidth=3,\n",
-    "        color=\"black\"\n",
-    "    )\n",
-    "    iter_ax.set_ylabel(\"rep1 v. rep2\\nshift $(R^2)$\")\n",
-    "    # move legend outside of plot\n",
-    "    iter_ax.legend(\n",
-    "        bbox_to_anchor = (1, 1), \n",
-    "        loc='upper left', \n",
-    "        frameon=False\n",
-    "    )\n",
-    "\n",
-    "\n",
-    "\n",
-    "    # # plot loss\n",
-    "    # iter_ax = ax[1]\n",
-    "    # sns.lineplot(\n",
-    "    #     data = (\n",
-    "    #         cross_validation_df.query(\"condition=='total'\")\n",
-    "    #         .assign(\n",
-    "    #             # lasso_strength = [f\"{l:.1e}\" for l in sparsity_df.scale_coeff_lasso_shift]\n",
-    "    #             # lasso_strength = lambda x: f\"{x.scale_coeff_lasso_shift:.1e}\"\n",
-    "    #             lasso_strength = lambda x: x['scale_coeff_lasso_shift'].apply(lambda y: f'{y:.1e}')\n",
-    "    #         )\n",
-    "    #     ),\n",
-    "    #     x=\"lasso_strength\",\n",
-    "    #     y=\"loss\",\n",
-    "    #     ax=iter_ax,\n",
-    "    #     hue=\"split\",\n",
-    "    #     style=\"dataset_name\",\n",
-    "    #     palette={\"training\":\"slategrey\", \"validation\":\"#2CA02C\"},\n",
-    "    #     markers=True,\n",
-    "    #     linewidth=3\n",
-    "    # )\n",
-    "    # # move legend outside of plot\n",
-    "    # iter_ax.legend(\n",
-    "    #     bbox_to_anchor = (1, 1), \n",
-    "    #     loc='upper left', \n",
-    "    #     frameon=False\n",
-    "    # )\n",
-    "\n",
-    "\n",
-    "    # plot sparsity\n",
-    "    iter_ax = ax[1]\n",
-    "    sns.lineplot(\n",
-    "        data=(\n",
-    "            sparsity_df\n",
-    "            # .rename({\"dataset_name\":\"replicate\"}, axis=1)\n",
-    "            .rename({\"mut_param\":\"shift params\", \"mut_type\":\"mutation type\"}, axis=1)\n",
-    "            # .replace({\"Data-0\":\"rep-1\", \"Data-1\":\"rep-2\"})\n",
-    "            .replace({\"nonsyn\":\"nonsynonymous\", \"stop\":\"stop\"})\n",
-    "            .replace(fixed_ref_column_shifts)\n",
-    "            .assign(\n",
-    "                scale_coeff_lasso_shift = [f\"{l:.1e}\" for l in sparsity_df.scale_coeff_lasso_shift],\n",
-    "                sparsity_percent = lambda x: x.sparsity * 100,\n",
-    "            )\n",
-    "        ),\n",
-    "        x=\"scale_coeff_lasso_shift\",\n",
-    "        y=\"sparsity_percent\",\n",
-    "        hue=\"mutation type\",\n",
-    "        style=\"replicate\",\n",
-    "        palette={\"nonsynonymous\":\"grey\", \"stop\":\"#E377C2\"},\n",
-    "        markers=True,\n",
-    "        legend=True,\n",
-    "        ax=iter_ax,\n",
-    "        linewidth=3\n",
-    "    )\n",
-    "    # move legend outside of plot\n",
-    "    iter_ax.legend(\n",
-    "        bbox_to_anchor = (1, 1), \n",
-    "        loc='upper left', \n",
-    "        frameon=False\n",
-    "    )\n",
-    "    # rotate x labels\n",
-    "    iter_ax.set_xticklabels(\n",
-    "        iter_ax.get_xticklabels(), \n",
-    "        rotation=90, \n",
-    "        ha='center'\n",
-    "    )\n",
-    "    iter_ax.set_ylabel(\"sparsity\\n$(\\%\\Delta=0)$\")\n",
-    "    iter_ax.set_xlabel(f\"lasso regularization strength ($\\lambda$)\")\n",
-    "\n",
-    "    for axes in ax:\n",
-    "        axes.axvline(\n",
-    "            f\"{chosen_lasso_strength:.1e}\", \n",
-    "            color=\"grey\",\n",
-    "            linewidth=10,\n",
-    "            alpha=0.35\n",
-    "        )\n",
-    "\n",
-    "    sns.despine(fig)\n",
-    "    plt.tight_layout()\n",
-    "    # plt.tight_layout()\n",
-    "    # fig.savefig(f\"{output_dir}/{saveas}.pdf\",bbox_inches='tight')\n",
-    "    # fig.savefig(f\"{output_dir}/{saveas}.png\",bbox_inches='tight')\n",
-    "    # plt.show()\n",
-    "\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, let's plot the shift results"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>site</th>\n",
-       "      <th>Delta</th>\n",
-       "      <th>Omicron_BA1</th>\n",
-       "      <th>Omicron_BA2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>M</td>\n",
-       "      <td>M</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>V</td>\n",
-       "      <td>V</td>\n",
-       "      <td>V</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>L</td>\n",
-       "      <td>L</td>\n",
-       "      <td>L</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1234</th>\n",
-       "      <td>1248</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1235</th>\n",
-       "      <td>1249</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1236</th>\n",
-       "      <td>1250</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1237</th>\n",
-       "      <td>1251</td>\n",
-       "      <td>G</td>\n",
-       "      <td>G</td>\n",
-       "      <td>G</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1238</th>\n",
-       "      <td>1252</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1239 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      site Delta Omicron_BA1 Omicron_BA2\n",
-       "0        1     M           M           M\n",
-       "1        2     F           F           F\n",
-       "2        3     V           V           V\n",
-       "3        4     F           F           F\n",
-       "4        5     L           L           L\n",
-       "...    ...   ...         ...         ...\n",
-       "1234  1248     C           C           C\n",
-       "1235  1249     S           S           S\n",
-       "1236  1250     C           C           C\n",
-       "1237  1251     G           G           G\n",
-       "1238  1252     S           S           S\n",
-       "\n",
-       "[1239 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "rep_1_site_map = results_df.query(\"data_replicate == '1'\").iloc[0].data.site_map.copy()\n",
-    "rep_1_site_map.index.name=\"site\"\n",
-    "rep_1_site_map.reset_index(inplace=True)\n",
-    "rep_1_site_map\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>site</th>\n",
-       "      <th>Delta</th>\n",
-       "      <th>Omicron_BA1</th>\n",
-       "      <th>Omicron_BA2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>M</td>\n",
-       "      <td>M</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>V</td>\n",
-       "      <td>V</td>\n",
-       "      <td>V</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>L</td>\n",
-       "      <td>L</td>\n",
-       "      <td>L</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1234</th>\n",
-       "      <td>1248</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1235</th>\n",
-       "      <td>1249</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1236</th>\n",
-       "      <td>1250</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1237</th>\n",
-       "      <td>1251</td>\n",
-       "      <td>G</td>\n",
-       "      <td>G</td>\n",
-       "      <td>G</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1238</th>\n",
-       "      <td>1252</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1239 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      site Delta Omicron_BA1 Omicron_BA2\n",
-       "0        1     M           M           M\n",
-       "1        2     F           F           F\n",
-       "2        3     V           V           V\n",
-       "3        4     F           F           F\n",
-       "4        5     L           L           L\n",
-       "...    ...   ...         ...         ...\n",
-       "1234  1248     C           C           C\n",
-       "1235  1249     S           S           S\n",
-       "1236  1250     C           C           C\n",
-       "1237  1251     G           G           G\n",
-       "1238  1252     S           S           S\n",
-       "\n",
-       "[1239 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "rep_2_site_map = results_df.query(\"data_replicate == '2'\").iloc[0].data.site_map.copy()\n",
-    "rep_2_site_map.index.name=\"site\"\n",
-    "rep_2_site_map.reset_index(inplace=True)\n",
-    "rep_2_site_map"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{422, 898}"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "unshared_sites = set(rep_1_site_map[\"site\"]).symmetric_difference(set(rep_2_site_map[\"site\"]))\n",
-    "shared_sites = set(rep_1_site_map[\"site\"]).union(set(rep_2_site_map[\"site\"]))\n",
-    "unshared_sites"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Delta</th>\n",
-       "      <th>Omicron_BA1</th>\n",
-       "      <th>Omicron_BA2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>M</td>\n",
-       "      <td>M</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>V</td>\n",
-       "      <td>V</td>\n",
-       "      <td>V</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "      <td>F</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>L</td>\n",
-       "      <td>L</td>\n",
-       "      <td>L</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1248</th>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1249</th>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1250</th>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "      <td>C</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1251</th>\n",
-       "      <td>G</td>\n",
-       "      <td>G</td>\n",
-       "      <td>G</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1252</th>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "      <td>S</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1238 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     Delta Omicron_BA1 Omicron_BA2\n",
-       "1        M           M           M\n",
-       "2        F           F           F\n",
-       "3        V           V           V\n",
-       "4        F           F           F\n",
-       "5        L           L           L\n",
-       "...    ...         ...         ...\n",
-       "1248     C           C           C\n",
-       "1249     S           S           S\n",
-       "1250     C           C           C\n",
-       "1251     G           G           G\n",
-       "1252     S           S           S\n",
-       "\n",
-       "[1238 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "site_map = pd.concat([rep_1_site_map, rep_2_site_map], axis=0).drop_duplicates().set_index(\"site\", verify_integrity=True).sort_index()\n",
-    "site_map.index.name=None\n",
-    "site_map.drop(unshared_sites, inplace=True)\n",
-    "site_map"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "9983"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rep_1_mutations = results_df.query(\"data_replicate == '1'\").iloc[0].data.mutations\n",
-    "rep_2_mutations = results_df.query(\"data_replicate == '2'\").iloc[0].data.mutations\n",
-    "shared_mutations = set(rep_1_mutations).intersection(set(rep_2_mutations))\n",
-    "len(shared_mutations)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>wts</th>\n",
-       "      <th>sites</th>\n",
-       "      <th>muts</th>\n",
-       "      <th>avg_shift_Delta</th>\n",
-       "      <th>avg_shift_Omicron_BA2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>A</td>\n",
-       "      <td>27</td>\n",
-       "      <td>D</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.090629</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>A</td>\n",
-       "      <td>27</td>\n",
-       "      <td>E</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.005235</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>A</td>\n",
-       "      <td>27</td>\n",
-       "      <td>G</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>A</td>\n",
-       "      <td>27</td>\n",
-       "      <td>L</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>A</td>\n",
-       "      <td>27</td>\n",
-       "      <td>P</td>\n",
-       "      <td>0.135872</td>\n",
-       "      <td>-0.396683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6740</th>\n",
-       "      <td>Y</td>\n",
-       "      <td>1209</td>\n",
-       "      <td>N</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6741</th>\n",
-       "      <td>Y</td>\n",
-       "      <td>1215</td>\n",
-       "      <td>*</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6742</th>\n",
-       "      <td>Y</td>\n",
-       "      <td>1215</td>\n",
-       "      <td>C</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6743</th>\n",
-       "      <td>Y</td>\n",
-       "      <td>1215</td>\n",
-       "      <td>F</td>\n",
-       "      <td>0.037667</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6744</th>\n",
-       "      <td>Y</td>\n",
-       "      <td>1215</td>\n",
-       "      <td>H</td>\n",
-       "      <td>0.415916</td>\n",
-       "      <td>0.167404</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>6745 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     wts  sites muts  avg_shift_Delta  avg_shift_Omicron_BA2\n",
-       "0      A     27    D         0.000000               0.090629\n",
-       "1      A     27    E         0.000000               0.005235\n",
-       "2      A     27    G         0.000000               0.000000\n",
-       "3      A     27    L         0.000000               0.000000\n",
-       "4      A     27    P         0.135872              -0.396683\n",
-       "...   ..    ...  ...              ...                    ...\n",
-       "6740   Y   1209    N         0.000000               0.000000\n",
-       "6741   Y   1215    *         0.000000               0.000000\n",
-       "6742   Y   1215    C         0.000000               0.000000\n",
-       "6743   Y   1215    F         0.037667               0.000000\n",
-       "6744   Y   1215    H         0.415916               0.167404\n",
-       "\n",
-       "[6745 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "mut_df_replicates = (\n",
-    "    mut_dfs\n",
-    "    .query(\"lasso_coeff == 4e-05 and mutation in @shared_mutations\")\n",
-    "    .drop(columns=[c for c in mut_dfs.columns if c not in [\"wts\", \"sites\", \"muts\"] and \"+\" not in c])\n",
-    "    .rename(\n",
-    "        columns={\n",
-    "            \"β_Delta+-β_Omicron_BA1\" : \"avg_shift_Delta\",\n",
-    "            \"-β_Omicron_BA1+β_Omicron_BA2\" : \"avg_shift_Omicron_BA2\",\n",
-    "        }\n",
-    "    )\n",
-    "    .groupby([\"wts\", \"sites\", \"muts\"])\n",
-    "    .mean()\n",
-    "    .reset_index()\n",
-    ")\n",
-    "mut_df_replicates"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "     wts  sites muts  avg_shift_Delta  avg_shift_BA2          sense\n",
-      "0      A     27    D         0.000000       0.090629  nonsynonymous\n",
-      "1      A     27    E         0.000000       0.005235  nonsynonymous\n",
-      "2      A     27    G         0.000000       0.000000  nonsynonymous\n",
-      "3      A     27    L         0.000000       0.000000  nonsynonymous\n",
-      "4      A     27    P         0.135872      -0.396683  nonsynonymous\n",
-      "...   ..    ...  ...              ...            ...            ...\n",
-      "6740   Y   1209    N         0.000000       0.000000  nonsynonymous\n",
-      "6741   Y   1215    *         0.000000       0.000000           stop\n",
-      "6742   Y   1215    C         0.000000       0.000000  nonsynonymous\n",
-      "6743   Y   1215    F         0.037667       0.000000  nonsynonymous\n",
-      "6744   Y   1215    H         0.415916       0.167404  nonsynonymous\n",
-      "\n",
-      "[6745 rows x 6 columns]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# some renaming and wrangling\n",
-    "mut_df_replicates[\"sense\"] = [\"stop\" if mut == \"*\" else \"nonsynonymous\" for mut in mut_df_replicates.muts]\n",
-    "rename_omicron = {\n",
-    "    c:\"_\".join(c.split(\"_\")[:2]+[c.split(\"_\")[3]])\n",
-    "    for c in mut_df_replicates.columns if \"Omicron\" in c\n",
-    "}\n",
-    "mut_df_replicates.rename(rename_omicron, axis=1, inplace=True)\n",
-    "print(mut_df_replicates)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x900 with 15 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "site_map = site_map.reset_index().rename(\n",
-    "    {\"index\":\"sites\", \"Omicron_BA2\": \"BA2\", \"Omicron_BA1\":\"BA1\"}, axis=1\n",
-    ").set_index(\"sites\")\n",
-    "\n",
-    "saveas = \"shift_by_site_heatmap_zoom\"\n",
-    "\n",
-    "site_ranges = {\n",
-    "    \"zoom1\" : [137, 142],\n",
-    "    \"zoom2\" : [416, 421],\n",
-    "    \"zoom3\" : [568, 573],\n",
-    "    \"zoom4\" : [843, 856],\n",
-    "    \"zoom5\" : [1019, 1029]\n",
-    "}\n",
-    "\n",
-    "# heatmap ax width ratios\n",
-    "width_ratios = [(end-start) for key, (start, end) in site_ranges.items()]\n",
-    "\n",
-    "# make the first one a little bigger for the color bar\n",
-    "width_ratios[0] += width_ratios[0] * 0.5\n",
-    "\n",
-    "\n",
-    "# Plot domain architecture in primary sequence\n",
-    "# based on structure papers (Gobeil et al., 2022, Molecular Cell)\n",
-    "# (Duan et al., 2020, Frotiers in Immunology)\n",
-    "domain_dict = {\n",
-    "    'NTD' : [13, 293],\n",
-    "    'RBD' : [330, 528],\n",
-    "    'SD1' : [528, 590],\n",
-    "    'SD2' : [590, 685],\n",
-    "    'FP' : [815, 834],\n",
-    "    'HR1' : [907, 985],\n",
-    "    'CH' : [985, 1035],\n",
-    "    'CD' : [1075, 1162],\n",
-    "    'HR2' : [1162, 1211],\n",
-    "    'TM' : [1211, 1234],\n",
-    "}\n",
-    "\n",
-    "sort_order = [\n",
-    "    \"R\",\"K\",\"H\",\"D\",\"E\",\"Q\",\"N\",\"S\",\n",
-    "    \"T\",\"Y\",\"W\",\"F\",\"A\",\"I\",\"L\",\"M\",\n",
-    "    \"V\",\"G\",\"P\",\"C\",\"-\",\"*\",\n",
-    "]\n",
-    "\n",
-    "fig = plt.figure( figsize=[6.4, 9])\n",
-    "axs = fig.subplot_mosaic(\n",
-    "    [\n",
-    "        [\"Annotation\"]*5,\n",
-    "        [\"Delta\"]*5,\n",
-    "        [f\"{k}_Delta\" for k in list(site_ranges.keys())],\n",
-    "        [f\"{k}_Delta\" for k in list(site_ranges.keys())],\n",
-    "        [\".\"]*5,\n",
-    "        [\"BA2\"]*5,\n",
-    "        [f\"{k}_BA2\" for k in list(site_ranges.keys())],\n",
-    "        [f\"{k}_BA2\" for k in list(site_ranges.keys())]\n",
-    "    ],\n",
-    "    \n",
-    "    height_ratios=[\n",
-    "        1.5, \n",
-    "        2, \n",
-    "        2, \n",
-    "        2,\n",
-    "        0.3,\n",
-    "        2,\n",
-    "        2, \n",
-    "        2\n",
-    "    ],\n",
-    "    empty_sentinel=\".\",\n",
-    "    # set the width ratios between the columns\n",
-    "    width_ratios=width_ratios,\n",
-    "    gridspec_kw={\n",
-    "        \"wspace\": 0.20,\n",
-    "        \"hspace\": 0.4,\n",
-    "    }\n",
-    ")\n",
-    "\n",
-    "# derived from\n",
-    "# https://matplotlib.org/stable/gallery/subplots_axes_and_figures/axes_zoom_effect.html\n",
-    "def connect_bbox(bbox1, bbox2,\n",
-    "                 loc1a, loc2a, loc1b, loc2b,\n",
-    "                 prop_lines, prop_patches=None):\n",
-    "    if prop_patches is None:\n",
-    "        prop_patches = {\n",
-    "            **prop_lines,\n",
-    "            \"alpha\": prop_lines.get(\"alpha\", 1) * 0.2,\n",
-    "            \"clip_on\": False,\n",
-    "        }\n",
-    "\n",
-    "    c1 = BboxConnector(\n",
-    "        bbox1, bbox2, loc1=loc1a, loc2=loc2a, clip_on=False, **prop_lines)\n",
-    "    c2 = BboxConnector(\n",
-    "        bbox1, bbox2, loc1=loc1b, loc2=loc2b, clip_on=False, **prop_lines)\n",
-    "\n",
-    "    bbox_patch1 = BboxPatch(bbox1, **prop_patches)\n",
-    "    bbox_patch2 = BboxPatch(bbox2, **prop_patches)\n",
-    "\n",
-    "    p = BboxConnectorPatch(bbox1, bbox2,\n",
-    "                           loc1a=loc1a, loc2a=loc2a, loc1b=loc1b, loc2b=loc2b,\n",
-    "                           clip_on=False,\n",
-    "                           **prop_patches)\n",
-    "\n",
-    "    return c1, c2, bbox_patch1, bbox_patch2, p\n",
-    "\n",
-    "def zoom_effect03(ax1, ax2, xmin, xmax, **kwargs):\n",
-    "\n",
-    "    mybbox1 = ax1.bbox\n",
-    "    \n",
-    "    bbox = Bbox.from_extents(xmin, 0, xmax, 1)\n",
-    "    mybbox2 = TransformedBbox(bbox, ax2.get_xaxis_transform())\n",
-    "\n",
-    "    prop_patches = {**kwargs, \"ec\": \"none\", \"alpha\": 0.2}\n",
-    "\n",
-    "    c1, c2, bbox_patch1, bbox_patch2, p = connect_bbox(\n",
-    "        mybbox1, mybbox2,\n",
-    "        loc1a=2, loc2a=3, loc1b=1, loc2b=4,\n",
-    "        prop_lines=kwargs, prop_patches=prop_patches)\n",
-    "\n",
-    "    ax2.add_patch(c1)\n",
-    "    ax2.add_patch(c2)\n",
-    "    ax2.add_patch(p)\n",
-    "\n",
-    "    return c1, c2, bbox_patch1, bbox_patch2, p\n",
-    "\n",
-    "#############\n",
-    "# sitewise\n",
-    "#############\n",
-    "\n",
-    "\n",
-    "pal = sns.color_palette('colorblind')\n",
-    "cs = ['darkviolet', 'orange']\n",
-    "cs = {\n",
-    "    'BA2' : 'darkviolet', \n",
-    "    'Delta' : 'orange'\n",
-    "}\n",
-    "\n",
-    "# Plot per-site metric\n",
-    "metric_prefix = 'max_abs_shift_'\n",
-    "for (i, homolog) in enumerate(['BA2', 'Delta']):\n",
-    "\n",
-    "    sns.scatterplot(\n",
-    "        x='sites', \n",
-    "        y=f'avg_shift_{homolog}',\n",
-    "        data=mut_df_replicates, \n",
-    "        s=15,\n",
-    "        alpha=0.7,\n",
-    "        edgecolor=\"grey\",\n",
-    "        linewidth=0.05,\n",
-    "        ax=axs[homolog], \n",
-    "        color=cs[homolog],\n",
-    "        label=\"\"\n",
-    "    )\n",
-    "    \n",
-    "    nis = site_map.query(f\"{homolog} != BA1\")\n",
-    "    sns.scatterplot(\n",
-    "        x='sites', \n",
-    "        y=np.repeat(2.9, len(nis)),\n",
-    "        data=nis, \n",
-    "        s=30,\n",
-    "        ax=axs[homolog],\n",
-    "        marker='v',\n",
-    "        facecolor=cs[homolog], \n",
-    "        edgecolor=\"k\"\n",
-    "    )\n",
-    "\n",
-    "    axs[homolog].grid()\n",
-    "    axs[homolog].set(\n",
-    "        xlim=[-10,1260],\n",
-    "        ylim=[-2, 3],\n",
-    "        yticks=[-2, -1, 0, 1, 2],\n",
-    "    )\n",
-    "    sns.despine(ax=axs[homolog])\n",
-    "    \n",
-    "    axs[homolog].tick_params(\n",
-    "        axis='x', \n",
-    "        bottom=False,\n",
-    "        labelbottom=False,\n",
-    "        labeltop=True if homolog == \"Delta\" else False,\n",
-    "        top=True if homolog == \"Delta\" else False,\n",
-    "        size=9\n",
-    "    )\n",
-    "    axs[homolog].set_xlabel(None)\n",
-    "    axs[homolog].set_ylabel('shift ($\\Delta_{d,m}$)', size=10)\n",
-    "\n",
-    "\n",
-    "axs[\"BA2\"]._shared_axes['x'].join(axs[\"BA2\"], axs[\"Delta\"])\n",
-    "\n",
-    "plot_rectangles = True\n",
-    "for zoom, site_range in site_ranges.items():\n",
-    "    if not plot_rectangles:\n",
-    "        continue\n",
-    "    (site_i, site_j) = site_range\n",
-    "    for (i, homolog) in enumerate(['BA2', 'Delta']):\n",
-    "        rect = patches.Rectangle(\n",
-    "            (site_i-5, -2), site_j-site_i+11, 4,\n",
-    "            edgecolor='none', facecolor='0.75', zorder=0\n",
-    "        )\n",
-    "        axs[homolog].add_patch(rect)\n",
-    "        \n",
-    "        \n",
-    "#############\n",
-    "# Annotation\n",
-    "#############\n",
-    "\n",
-    "for (domain, (start, end)) in domain_dict.items():\n",
-    "    rectangle = patches.Rectangle((start, 1), end-start, 2, edgecolor='0.25', facecolor='white')\n",
-    "    axs[\"Annotation\"].add_patch(rectangle)\n",
-    "    rx, ry = rectangle.get_xy()\n",
-    "    cx = rx + rectangle.get_width()/2.0\n",
-    "    cy = ry - 0.05 + rectangle.get_height()/2.0\n",
-    "    if domain in ['FP', 'TM']:\n",
-    "        cy += 2\n",
-    "    axs[\"Annotation\"].annotate(\n",
-    "        domain, (cx, cy), color='black', ha='center', va='center',\n",
-    "        fontsize=7\n",
-    "    )\n",
-    "\n",
-    "axs[\"Annotation\"].set(ylim=[-0.5,4], yticks=[])\n",
-    "sns.despine(left=True, bottom=True, ax=axs[\"Annotation\"])\n",
-    "\n",
-    "axs[\"Annotation\"].sharex(axs[\"BA2\"])\n",
-    "axs[\"Annotation\"].axhline(2, c='0.25', zorder=0)\n",
-    "axs[\"Annotation\"].xaxis.set_tick_params(which='both', bottom=False, labelbottom=False, labeltop=False)\n",
-    "\n",
-    "#############\n",
-    "# Heatmap\n",
-    "#############\n",
-    "\n",
-    "for (i, homolog) in enumerate(['Delta', 'BA2']):\n",
-    "    \n",
-    "    df_shifts_wide = mut_df_replicates.pivot(\n",
-    "        index='muts', \n",
-    "        columns='sites', \n",
-    "        values=f'avg_shift_{homolog}'\n",
-    "    ).loc[sort_order, :]\n",
-    "\n",
-    "    for zoom, (start, end) in site_ranges.items():\n",
-    "        \n",
-    "        iter_ax = axs[f\"{zoom}_{homolog}\"]\n",
-    "        iter_ax.set_facecolor(\"lightgrey\")\n",
-    "        # print(df_shifts_wide.columns)\n",
-    "        # print(start, end)\n",
-    "        # print(list(range(start, end+1)))\n",
-    "        # print(list([1,2,3]))\n",
-    "        # print(range(5))\n",
-    "        # print(range(start, end))\n",
-    "        sites = [s for s in list(range(start, end+1)) if s in df_shifts_wide.columns]\n",
-    "        \n",
-    "        sns.heatmap(\n",
-    "            df_shifts_wide.loc[:, sites], \n",
-    "            cbar=True if zoom == \"zoom1\" else False,\n",
-    "            cbar_kws={\n",
-    "                \"shrink\": 0.5, \n",
-    "                \"location\":'left',\n",
-    "                'anchor': (-1.5, 0.5),\n",
-    "                'label' : None\n",
-    "            },\n",
-    "            ax = iter_ax,\n",
-    "            linewidth=.5, \n",
-    "            linecolor=\"darkgrey\",\n",
-    "            center=0,\n",
-    "            cmap='RdBu',\n",
-    "            vmin=-2.0,\n",
-    "            vmax=2.0,\n",
-    "            xticklabels=False,\n",
-    "            yticklabels=False,\n",
-    "        )\n",
-    "\n",
-    "        for i, site in enumerate(sites):\n",
-    "            for j, mut in enumerate(sort_order):\n",
-    "                \n",
-    "                is_ref_wt = True if mut == site_map.loc[site,\"BA1\"] else False\n",
-    "                if is_ref_wt:\n",
-    "                    iter_ax.scatter(\n",
-    "                        [i+0.5], \n",
-    "                        [j+0.5], \n",
-    "                        marker=\"x\", \n",
-    "                        s=8, \n",
-    "                        c=\"black\"\n",
-    "                    )\n",
-    "                is_nis = (\n",
-    "                    True \n",
-    "                    if mut ==  site_map.loc[site,homolog] and\n",
-    "                    mut !=  site_map.loc[site,\"BA1\"]\n",
-    "                    else False\n",
-    "                )\n",
-    "                \n",
-    "                if is_nis:\n",
-    "                    iter_ax.scatter(\n",
-    "                        [i+0.5], \n",
-    "                        [j+0.5], \n",
-    "                        marker=\"o\", \n",
-    "                        s=12, \n",
-    "                        facecolors=cs[homolog],\n",
-    "                        edgecolors=\"black\"\n",
-    "                    )\n",
-    "\n",
-    "        if zoom != \"zoom1\":\n",
-    "            axs[f\"{zoom}_{homolog}\"].tick_params(axis='y', left=False, labelleft=False)\n",
-    "            sns.despine(left=True, bottom=True, ax=axs[f\"{zoom}_{homolog}\"])  \n",
-    "        else:\n",
-    "            axs[f\"{zoom}_{homolog}\"].set_yticks(\n",
-    "                [s+0.5 for s in range(len(sort_order))],\n",
-    "                labels=sort_order, \n",
-    "                va=\"center\",\n",
-    "                size=6\n",
-    "            )\n",
-    "            \n",
-    "        axs[f\"{zoom}_{homolog}\"].set_ylabel(None)\n",
-    "            \n",
-    "        if homolog != \"Delta\":\n",
-    "            axs[f\"{zoom}_{homolog}\"].sharex(axs[f\"{zoom}_Delta\"])\n",
-    "        axs[f\"{zoom}_{homolog}\"].set_xticks(\n",
-    "            [s+0.5 for s in range(len(sites))],\n",
-    "             labels=sites, \n",
-    "             ha=\"center\",\n",
-    "            rotation=90,\n",
-    "            size=7\n",
-    "        )\n",
-    "        axs[f\"{zoom}_{homolog}\"].set_xlabel(None)\n",
-    "\n",
-    "for zoom, (start, end) in site_ranges.items():\n",
-    "    for homolog in ['Delta', 'BA2']:\n",
-    "        zoom_effect03(axs[f\"{zoom}_{homolog}\"], axs[homolog], start, end, alpha= 0.2)\n",
-    "\n",
-    "fig.text(\n",
-    "    0.5, 0.05, 'sites',\n",
-    "    ha='center'\n",
-    ")\n",
-    "\n",
-    "axs[\"Delta\"].text(\n",
-    "    -0.1, 1.25, \n",
-    "    f\"A\", \n",
-    "    ha=\"right\", va=\"center\", \n",
-    "    size=15,\n",
-    "    weight=\"bold\",\n",
-    "    transform=axs[\"Delta\"].transAxes\n",
-    ")\n",
-    "axs[\"Delta\"].text(\n",
-    "    0.035, 1.15, \n",
-    "    f\"Delta\", \n",
-    "    ha=\"left\", va=\"center\", \n",
-    "    size=12,\n",
-    "    transform=axs[\"Delta\"].transAxes\n",
-    ")\n",
-    "\n",
-    "axs[\"BA2\"].text(\n",
-    "    -0.1, 1.25, \n",
-    "    f\"B\", \n",
-    "    ha=\"right\", va=\"center\", \n",
-    "    size=15,\n",
-    "    weight=\"bold\",\n",
-    "    transform=axs[\"BA2\"].transAxes\n",
-    ")\n",
-    "axs[\"BA2\"].text(\n",
-    "    0.035, 1.15, \n",
-    "    f\"BA.2\", \n",
-    "    ha=\"left\", va=\"center\", \n",
-    "    size=12,\n",
-    "    transform=axs[\"BA2\"].transAxes\n",
-    ")\n",
-    "\n",
-    "# fig.savefig(f\"{output_dir}/{saveas}.pdf\",bbox_inches='tight')\n",
-    "# fig.savefig(f\"{output_dir}/{saveas}.png\",bbox_inches='tight')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "multidms-dev",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/params.json b/notebooks/experiments/generalized_lasso_sigmoid_models/params.json
deleted file mode 100644
index 9d4afbe..0000000
--- a/notebooks/experiments/generalized_lasso_sigmoid_models/params.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-  "warmup_iterations" : [0],
-  "max_total_iterations" : [100000],
-  "data_replicate": [1,2],
-  "post_latent_fn": ["sigmoid"],
-  "smooth_obj_fn" : ["sum_penalty"],
-  "l2reg_beta" : [1e-3],
-  "lasso_coeff" : [0.0]
-}
diff --git a/notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh b/notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh
deleted file mode 100644
index 8ad8e66..0000000
--- a/notebooks/experiments/generalized_lasso_sigmoid_models/run_papermill.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/usr/bin/env bash
-
-/usr/bin/time python nb_papermill.py \
-    --nb fit_generalized_lasso.ipynb \
-    --params params.json \
-    --output test_run_results
diff --git a/pyproject.toml b/pyproject.toml
index 5fffb69..3a4852d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -59,7 +59,9 @@ dev = [
     "ruff~=0.0.289",
     "black~=23.3.0",
     "notebook",
-    "sphinx",
+    # "sphinx",
+    "sphinx==6.2.1",
+    "sphinx-autoapi==3.0.0",
     "nbsphinx",
     "nbsphinx_link",
     "bumpver",
diff --git a/tests/test_data.py b/tests/test_data.py
index 3b0b89b..36f6145 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -13,7 +13,7 @@
 import pandas as pd
 from io import StringIO
 
-
+# TODO test non numeric sites?
 TEST_FUNC_SCORES = pd.read_csv(
     StringIO(
         """
@@ -32,6 +32,7 @@
     )
 )
 
+# TODO figure out correct way to setup the data
 data = multidms.Data(
     TEST_FUNC_SCORES,
     alphabet=multidms.AAS_WITHSTOP,
@@ -49,12 +50,24 @@
 """
 
 
-def test_reference_first():
-    """
-    Test that the reference is always first in
-    data.conditions
-    """
-    assert data.conditions[0] == "a"
+# def test_reference_first():
+#     """
+#     Test that the reference is always first in
+#     data.conditions
+#     """
+#     # assert data.conditions[0] == "a"
+#     data_b = multidms.Data(
+#         TEST_FUNC_SCORES,
+#         alphabet=multidms.AAS_WITHSTOP,
+#         reference="b",
+#         assert_site_integrity=True,
+#         name="test_data",
+#     )
+#     assert data_b.conditions[0] == "b"
+#     model = multidms.Model(data_b)
+#     assert model.data.conditions == tuple(["b", "a"])
+#     assert tuple(model.params["beta"].keys()) == tuple(["b", "a"])
+#     assert tuple(model.params["shift"].keys()) == tuple(["b", "a"])
 
 
 def test_site_integrity():
@@ -242,10 +255,57 @@ def test_difference_matrix():
 """
 
 
+def test_linear_model_fit_simple():
+    """
+    Simple test to see that the linear model
+    fits without error.
+    """
+    data = multidms.Data(
+        TEST_FUNC_SCORES.query("condition == 'a'"),
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+    model = multidms.Model(data, multidms.biophysical.identity_activation, PRNGKey=23)
+    model.fit(maxiter=2, warn_unconverged=False)
+
+
+def test_linear_model_multi_cond_fit_simple():
+    """
+    Simple test to see that the linear model
+    fits multiple conditions without error.
+    """
+    data = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+    model = multidms.Model(data, multidms.biophysical.identity_activation, PRNGKey=23)
+
+    model.fit(maxiter=2, warn_unconverged=False)
+
+
 def test_fit_simple():
     """
-    test that the wildtype predictions are correct
-    by comparing them to a "by-hand" calculation on the parameters.
+    Simple test to see that the single-condition model
+    fits without error.
+    """
+    data = multidms.Data(
+        TEST_FUNC_SCORES.query("condition == 'a'"),
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+    model = multidms.Model(data, PRNGKey=23)
+
+    model.fit(maxiter=2, warn_unconverged=False)
+
+
+def test_multi_cond_fit_simple():
+    """
+    Simple test to make sure the multi-condition model
+    fits without error.
     """
     data = multidms.Data(
         TEST_FUNC_SCORES,
@@ -476,7 +536,7 @@ def test_model_get_df_loss_conditional():
     df_loss = model.get_df_loss(TEST_FUNC_SCORES, conditional=True)
     # remove full and compare sum of the rest
     df_loss.pop("total")
-    assert loss == sum(df_loss.values()) / len(df_loss.values())
+    assert loss == sum(df_loss.values())
 
 
 def test_conditional_loss():
@@ -507,103 +567,85 @@ def test_explode_params_dict():
     assert exploded == [{"a": 1, "b": 3}, {"a": 2, "b": 3}]
 
 
-# def test_fit_models():
-#     """
-#     Test fitting two different models in
-#     parallel using multidms.model_collection.fit_models
-#     """
-#     data = multidms.Data(
-#         TEST_FUNC_SCORES,
-#         alphabet=multidms.AAS_WITHSTOP,
-#         reference="a",
-#         assert_site_integrity=False,
-#     )
-#     params = {
-#         "dataset": [data],
-#         "maxiter": [2],
-#         "scale_coeff_lasso_shift": [0.0, 1e-5],
-#     }
-#     _, _, fit_models_df = multidms.model_collection.fit_models(
-#         params,
-#         n_threads=-1,
-#     )
-#     mc = multidms.model_collection.ModelCollection(fit_models_df)
-#     tall_combined = mc.split_apply_combine_muts(groupby=("scale_coeff_lasso_shift"))
-#     assert len(tall_combined) == 2 * len(data.mutations_df)
-#     assert list(tall_combined.index.names) == ["scale_coeff_lasso_shift"]
-#
-#
-# def test_ModelCollection_charts():
-#    """
-#    Test fitting two different models in
-#    parallel using multidms.model_collection.fit_models
-#    """
-#    data = multidms.Data(
-#        TEST_FUNC_SCORES,
-#        alphabet=multidms.AAS_WITHSTOP,
-#        reference="a",
-#        assert_site_integrity=False,
-#    )
-#    params = {
-#        "dataset": [data],
-#        "maxiter": [2],
-#        "scale_coeff_lasso_shift": [0.0, 1e-5],
-#    }
-#    _, _, fit_models_df = multidms.model_collection.fit_models(
-#        params,
-#        n_threads=-1,
-#    )
-#    mc = multidms.model_collection.ModelCollection(fit_models_df)
-#
-#    mc.mut_param_heatmap(query="scale_coeff_lasso_shift == 0.0")
-#    mc.shift_sparsity()
-#
-#
-# def test_ModelCollection_get_conditional_loss_df():
-#    """
-#    Test that correctness of the conditional loss df
-#    format and values by comparing the results of
-#    ModelCollection.get_conditional_loss_df to the
-#    results of Model.conditional_loss.
-#    """
-#    params = {
-#        "dataset": [data],
-#        "maxiter": [2],
-#        "scale_coeff_lasso_shift": [0.0, 1e-5],
-#    }
-#    _, _, fit_models_df = multidms.model_collection.fit_models(
-#        params,
-#        n_threads=-1,
-#    )
-#    mc = multidms.model_collection.ModelCollection(fit_models_df)
-#    df_loss = mc.get_conditional_loss_df()
-#    # without validation loss, we expect the loss dataframe
-#    # to have a row for each model-condition pair + total loss
-#    n_expected_training_loss_rows = len(mc.fit_models) * (len(data.conditions) + 1)
-#    assert df_loss.shape[0] == n_expected_training_loss_rows
-#
-#    mc.add_validation_loss(TEST_FUNC_SCORES)
-#    df_loss = mc.get_conditional_loss_df()
-#    # with validation loss, we expect the loss dataframe
-#    # to have a row for each model-condition-split (training/validation) pair
-#    # + total loss
-#    assert df_loss.shape[0] == n_expected_training_loss_rows * 2
-#
-#
-# def test_single_vs_multistep_acceleration():
-#    """
-#    We currently approach the model optimization problem with
-#    a multi-step approach, where each step re-initializes the jaxopt.ProximalGradient
-#    objects before fitting the latest parameters from the previous step for some number
-#    of iterations per step. This behavior affects the FISTA acceleration, which is
-#    re-set at each step. We want to make sure that the multi-step approach
-#    is identical to a single step if we are remove the acceleration.
-#    """
-#    model = multidms.Model(data, PRNGKey=23)
-#    model.fit(maxiter=4, acceleration=False, warn_unconverged=False)
-#    loss = model.loss
-#    model = multidms.Model(data, PRNGKey=23)
-#    for i in range(2):
-#        model.fit(maxiter=2, acceleration=False, warn_unconverged=False)
-#    loss_no_accel = model.loss
-#    assert loss == loss_no_accel
+def test_fit_models():
+    """
+    Test fitting two different models in
+    parallel using multidms.model_collection.fit_models
+    """
+    data = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+    params = {
+        "dataset": [data],
+        "maxiter": [2],
+        "scale_coeff_lasso_shift": [0.0, 1e-5],
+    }
+    _, _, fit_models_df = multidms.model_collection.fit_models(
+        params,
+        n_threads=-1,
+    )
+    # assert False
+    mc = multidms.model_collection.ModelCollection(fit_models_df)
+    tall_combined = mc.split_apply_combine_muts(groupby=("scale_coeff_lasso_shift"))
+    assert len(tall_combined) == 2 * len(data.mutations_df)
+    assert list(tall_combined.index.names) == ["scale_coeff_lasso_shift"]
+
+
+def test_ModelCollection_charts():
+    """
+    Test fitting two different models in
+    parallel using multidms.model_collection.fit_models
+    """
+    data = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+    params = {
+        "dataset": [data],
+        "maxiter": [2],
+        "scale_coeff_lasso_shift": [0.0, 1e-5],
+    }
+    _, _, fit_models_df = multidms.model_collection.fit_models(
+        params,
+        n_threads=-1,
+    )
+    mc = multidms.model_collection.ModelCollection(fit_models_df)
+
+    mc.mut_param_heatmap(query="scale_coeff_lasso_shift == 0.0")
+    mc.shift_sparsity()
+
+
+def test_ModelCollection_get_conditional_loss_df():
+    """
+    Test that correctness of the conditional loss df
+    format and values by comparing the results of
+    ModelCollection.get_conditional_loss_df to the
+    results of Model.conditional_loss.
+    """
+    params = {
+        "dataset": [data],
+        "maxiter": [2],
+        "scale_coeff_lasso_shift": [0.0, 1e-5],
+    }
+    _, _, fit_models_df = multidms.model_collection.fit_models(
+        params,
+        n_threads=-1,
+    )
+    mc = multidms.model_collection.ModelCollection(fit_models_df)
+    df_loss = mc.get_conditional_loss_df()
+    # without validation loss, we expect the loss dataframe
+    # to have a row for each model-condition pair + total loss
+    n_expected_training_loss_rows = len(mc.fit_models) * (len(data.conditions) + 1)
+    assert df_loss.shape[0] == n_expected_training_loss_rows
+
+    mc.add_validation_loss(TEST_FUNC_SCORES)
+    df_loss = mc.get_conditional_loss_df()
+    # with validation loss, we expect the loss dataframe
+    # to have a row for each model-condition-split (training/validation) pair
+    # + total loss
+    assert df_loss.shape[0] == n_expected_training_loss_rows * 2

From 9f90d11bae3aae8fcc0e95b3e7e830e2c9eb898c Mon Sep 17 00:00:00 2001
From: jgallowa07 <jaredgalloway07@gmail.com>
Date: Thu, 23 May 2024 11:07:32 -0700
Subject: [PATCH 3/6] cleanup phenotype bug patch and smooth objective

---
 .github/workflows/build_test_package.yml   |   5 +-
 .github/workflows/publish_package_pypi.yml |   3 +-
 multidms/biophysical.py                    |   2 +-
 multidms/data.py                           |  18 ++--
 multidms/model.py                          | 107 +++++++++++----------
 multidms/utils.py                          |   1 -
 tests/test_data.py                         |  84 ++++++++++------
 7 files changed, 120 insertions(+), 100 deletions(-)

diff --git a/.github/workflows/build_test_package.yml b/.github/workflows/build_test_package.yml
index 451529b..8f1dd9b 100644
--- a/.github/workflows/build_test_package.yml
+++ b/.github/workflows/build_test_package.yml
@@ -53,9 +53,10 @@ jobs:
 
       - name: Test
         run: |
-          pytest --doctest-modules multidms tests
+          # pytest --doctest-modules multidms tests
+          pytest multidms tests
 
       - name: Test docs build
         run: |
           make -C docs clean
-          make -C docs html
\ No newline at end of file
+          make -C docs html
diff --git a/.github/workflows/publish_package_pypi.yml b/.github/workflows/publish_package_pypi.yml
index e86e5e3..9725cbd 100644
--- a/.github/workflows/publish_package_pypi.yml
+++ b/.github/workflows/publish_package_pypi.yml
@@ -49,7 +49,8 @@ jobs:
 
       - name: Test
         run: |
-          pytest --doctest-modules multidms tests
+          pytest multidms tests
+          # pytest --doctest-modules multidms tests
 
       - name: Build python package
         run: |
diff --git a/multidms/biophysical.py b/multidms/biophysical.py
index e43a34f..913d3a0 100644
--- a/multidms/biophysical.py
+++ b/multidms/biophysical.py
@@ -474,6 +474,6 @@ def smooth_objective(
         # parameters and add it to the loss function
         beta_ridge_penalty += scale_coeff_ridge_beta * (d_params["beta"] ** 2).sum()
 
-    # huber_cost /= len(X)
+    huber_cost /= len(X)
 
     return huber_cost + beta_ridge_penalty
diff --git a/multidms/data.py b/multidms/data.py
index 45b225c..77e31d3 100644
--- a/multidms/data.py
+++ b/multidms/data.py
@@ -195,10 +195,10 @@ class notes.
 
     >>> data.mutations_df  # doctest: +NORMALIZE_WHITESPACE
       mutation wts  sites muts  times_seen_a  times_seen_b
-    0      M1E   M      1    E             1           3.0
-    1      M1W   M      1    W             1           0.0
-    2      G3P   G      3    P             1           1.0
-    3      G3R   G      3    R             1           2.0
+    0      M1E   M      1    E             1             3
+    1      M1W   M      1    W             1             0
+    2      G3P   G      3    P             1             4
+    3      G3R   G      3    R             1             2
 
     >>> data.variants_df  # doctest: +NORMALIZE_WHITESPACE
       condition aa_substitutions  func_score var_wrt_ref
@@ -313,9 +313,7 @@ def __init__(
 
         # Use the "aa_substitutions" to infer the
         # wild type for each condition
-        # site_map = pd.DataFrame()
         site_map = pd.DataFrame(columns=self.conditions)
-        # print(site_map.info())
         for hom, hom_func_df in df.groupby("condition"):
             if verbose:
                 print(f"inferring site map for {hom}")
@@ -487,6 +485,7 @@ def get_nis_from_site_map(site_map):
         self._non_identical_idxs = {}
         self._scaled_training_data = {"X": {}, "y": y, "w": w}
         for condition, condition_func_score_df in df.groupby("condition"):
+            # TODO rename
             ref_bmap = bmap.BinaryMap(
                 condition_func_score_df,
                 substitutions_col="var_wrt_ref",
@@ -494,9 +493,6 @@ def get_nis_from_site_map(site_map):
                 alphabet=self.alphabet,
                 sites_as_str=letter_suffixed_sites,
             )
-            # print(ref_bmap.all_subs)
-            # print(self._mutations)
-            # assert ref_bmap.all_subs == self._mutations
             binmaps[condition] = ref_bmap
             X[condition] = sparse.BCOO.from_scipy_sparse(ref_bmap.binary_variants)
             y[condition] = jnp.array(condition_func_score_df["func_score"].values)
@@ -532,15 +528,13 @@ def get_nis_from_site_map(site_map):
                 self._scaled_training_data["X"][condition].sum(0).todense()
             )
             times_seen.index = ref_bmap.all_subs
-            # print(times_seen)
 
             assert (times_seen == times_seen.astype(int)).all()
-            # times_seen = times_seen.astype(int)
             times_seen.index.name = "mutation"
             times_seen.name = f"times_seen_{condition}"
             mut_df = mut_df.merge(times_seen, on="mutation", how="left")  # .fillna(0)
 
-            # set training data properties
+        # set training data properties
         self._training_data = {"X": X, "y": y, "w": w}
         self._binarymaps = binmaps
 
diff --git a/multidms/model.py b/multidms/model.py
index 92a683d..2128760 100644
--- a/multidms/model.py
+++ b/multidms/model.py
@@ -133,10 +133,10 @@ class Model:
 
     >>> model.data.mutations_df  # doctest: +NORMALIZE_WHITESPACE
       mutation wts  sites muts  times_seen_a  times_seen_b
-    0      M1E   M      1    E             1           3.0
-    1      M1W   M      1    W             1           0.0
-    2      G3P   G      3    P             1           1.0
-    3      G3R   G      3    R             1           2.0
+    0      M1E   M      1    E             1             3
+    1      M1W   M      1    W             1             0
+    2      G3P   G      3    P             1             4
+    3      G3R   G      3    R             1             2
 
     However, if accessed directly through the :class:`Model` object, you will
     get the same information, along with model/parameter specific
@@ -144,18 +144,18 @@ class Model:
     request the property.
 
     >>> model.get_mutations_df()  # doctest: +NORMALIZE_WHITESPACE
-              beta_a  beta_b  shift_b  predicted_func_score_a  \
+             wts  sites muts  times_seen_a  times_seen_b  beta_a  beta_b  shift_b  \
     mutation
-    M1E          0.0     0.0      0.0                     0.0
-    M1W          0.0     0.0      0.0                     0.0
-    G3P          0.0    -0.0      0.0                     0.0
-    G3R          0.0     0.0      0.0                     0.0
-              predicted_func_score_b  times_seen_a  times_seen_b wts  sites muts
+    M1E        M      1    E             1             3     0.0     0.0      0.0
+    M1W        M      1    W             1             0     0.0     0.0      0.0
+    G3P        G      3    P             1             4     0.0    -0.0      0.0
+    G3R        G      3    R             1             2     0.0     0.0      0.0
+             predicted_func_score_a predicted_func_score_b
     mutation
-    M1E                          0.0             1           3.0   M      1    E
-    M1W                          0.0             1           0.0   M      1    W
-    G3P                          0.0             1           1.0   G      3    P
-    G3R                          0.0             1           2.0   G      3    R
+    M1E                         0.0                    0.0
+    M1W                         0.0                    0.0
+    G3P                         0.0                    0.0
+    G3R                         0.0                    0.0
 
     Notice the respective single mutation effects (``"beta"``), conditional shifts
     (``shift_d``),
@@ -199,7 +199,7 @@ class Model:
 
     >>> model.fit(maxiter=10, lasso_shift=1e-5, warn_unconverged=False)
     >>> model.loss
-    0.29835365289243454
+    0.3483478119356665
 
     The model tunes its parameters in place, and the subsequent call to retrieve
     the loss reflects our models loss given its updated parameters.
@@ -435,7 +435,7 @@ def conditional_loss(self) -> float:
         for condition in self.data.conditions:
             condition_data = ({condition: X[condition]}, {condition: y[condition]})
             ret[condition] = float(loss_fxn(self.params, condition_data, **kwargs))
-        ret["total"] = sum(ret.values())
+        ret["total"] = sum(ret.values()) / len(ret.values())
         return ret
 
     @property
@@ -532,26 +532,26 @@ def mutations_df(self):
         return self.get_mutations_df(phenotype_as_effect=False)
 
     # TODO cached_property
+    # TODO output_shape "wide" or "long"
     def get_mutations_df(
         self,
-        phenotype_as_effect=True,
         times_seen_threshold=0,
+        phenotype_as_effect=True,
         return_split=True,
     ):
         """
-        Mutation attributes and phenotypic effects.
+        Mutation attributes and phenotypic effects
+        based on the current state of the model.
 
         Parameters
         ----------
-        phenotype_as_effect : bool, optional
-            if True, phenotypes (both latent, and func_score)
-            are calculated as the _difference_ between predicted
-            phenotype of a given variant and the respective experimental
-            wildtype prediction. Otherwise, report the unmodified
-            model prediction.
         times_seen_threshold : int, optional
             Only report mutations that have been seen at least
             this many times in each condition. Defaults to 0.
+        phenotype_as_effect : bool, optional
+            if True, phenotypes are reported as the difference
+            from the conditional wildtype prediction. Otherwise,
+            report the unmodified model prediction.
         return_split : bool, optional
             If True, return the split mutations as separate columns:
             'wts', 'sites', and 'muts'.
@@ -563,11 +563,14 @@ def get_mutations_df(
             A copy of the mutations data, `self.data.mutations_df`,
             with the mutations column set as the index, and columns
             with the mutational attributes (e.g. betas, shifts) and
-            conditional phenotypes (e.g. func_scores) added.
-            Phenotypes are predicted
-            based on the current state of the model.
+            conditional functional score effect (e.g. ) added.
+
+            The columns are ordered as follows:
+            - beta_a, beta_b, ... : the latent effect of the mutation
+            - shift_b, shift_c, ... : the conditional shift of the mutation
+            - predicted_func_score_a, predicted_func_score_b, ... : the
+                predicted functional score of the mutation.
         """
-        # we're updating this
         mutations_df = self.data.mutations_df.set_index("mutation")
         if not return_split:
             mutations_df.drop(
@@ -588,24 +591,30 @@ def get_mutations_df(
                 i
             ), f"mutation {sub} df index does not match binarymaps respective index"
 
-        # for effect calculation
-        if phenotype_as_effect:
-            wildtype_df = self.wildtype_df
-
-        X = sparse.BCOO.fromdense(onp.identity(len(self._data.mutations)))
-
         params = self.params
-        for condition in self._data.conditions:
+        for condition in self.data.conditions:
             # shift of latent effect
             mutations_df[f"beta_{condition}"] = params["beta"][condition]
 
             if condition != self._data.reference:
                 mutations_df[f"shift_{condition}"] = params["shift"][condition]
 
-            Y_pred = self.phenotype_frombinary(X, condition)
+        # if include_phenotype_predictions:
+        wildtype_df = self.wildtype_df
+        for condition in self.data.conditions:
+            wt_func_score = wildtype_df.loc[condition, "predicted_func_score"]
+            mutations_df[f"predicted_func_score_{condition}"] = [
+                pheno[0]
+                for pheno in list(
+                    map(
+                        partial(self.phenotype_fromsubs, condition=condition),
+                        mutations_df.index,
+                    )
+                )
+            ]
             if phenotype_as_effect:
-                Y_pred -= wildtype_df.loc[condition, "predicted_func_score"]
-            mutations_df[f"predicted_func_score_{condition}"] = Y_pred
+                # TODO always do phenotype "as effect"?
+                mutations_df[f"predicted_func_score_{condition}"] -= wt_func_score
 
         # filter by times seen
         if times_seen_threshold > 0:
@@ -614,18 +623,8 @@ def get_mutations_df(
                     mutations_df[f"times_seen_{condition}"] >= times_seen_threshold
                 ]
 
-        col_order = (
-            [c for c in mutations_df.columns if c.startswith("beta")]
-            + [c for c in mutations_df.columns if c.startswith("shift")]
-            + [c for c in mutations_df.columns if c.startswith("predicted")]
-            + [c for c in mutations_df.columns if c.startswith("times_seen")]
-        )
-        if return_split:
-            col_order += ["wts", "sites", "muts"]
-
-        return mutations_df[col_order]
+        return mutations_df
 
-    # TODO cached_property
     def get_df_loss(self, df, error_if_unknown=False, verbose=False, conditional=False):
         """
         Get the loss of the model on a given data frame.
@@ -725,7 +724,7 @@ def get_df_loss(self, df, error_if_unknown=False, verbose=False, conditional=Fal
             y[condition] = jnp.array(variant_targets)
             ret[condition] = float(loss_fxn(self.params, (X, y), **kwargs))
 
-        ret["total"] = sum(ret.values())  # / len(ret.values())
+        ret["total"] = sum(ret.values()) / len(ret.values())
 
         if not conditional:
             return ret["total"]
@@ -828,6 +827,7 @@ def add_phenotypes_to_df(
                     axis=1,
                 )
 
+            # TODO, why convert above if this may be provided by user?
             if converted_substitutions_col is not None:
                 ret.loc[condition_df.index, converted_substitutions_col] = variant_subs
 
@@ -981,7 +981,10 @@ def phenotype_frombinary(self, X, condition=None):
             Condition to make predictions for. If None, use the reference
         """
         d_params = self.get_condition_params(condition)
-        return jax.jit(self.model_components["f"])(d_params, X)
+        if X.shape[0] > 1000:
+            return jax.jit(self.model_components["f"])(d_params, X)
+        else:
+            return self.model_components["f"](d_params, X)
 
     def latent_frombinary(self, X, condition=None):
         """
@@ -1064,8 +1067,6 @@ def fit(
             regularize and otherwise modify the objective function
             being optimized.
         """
-        # TODO rename
-
         # CONFIG PROXIMAL
         # infer the range of the training data, and double it
         # to set the upper bound of the theta (post-latent e.g. sigmoid) scale parameter.
diff --git a/multidms/utils.py b/multidms/utils.py
index 2b33c62..04a5fb5 100644
--- a/multidms/utils.py
+++ b/multidms/utils.py
@@ -27,7 +27,6 @@ def difference_matrix(n, ref_index=0):
     return D
 
 
-# TODO test
 def transform(params, bundle_idxs):
     """
     Transforms the beta coefficient parameters of a `multidms` model to be
diff --git a/tests/test_data.py b/tests/test_data.py
index 36f6145..630a59e 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -13,6 +13,8 @@
 import pandas as pd
 from io import StringIO
 
+import multidms.utils
+
 # TODO test non numeric sites?
 TEST_FUNC_SCORES = pd.read_csv(
     StringIO(
@@ -50,26 +52,6 @@
 """
 
 
-# def test_reference_first():
-#     """
-#     Test that the reference is always first in
-#     data.conditions
-#     """
-#     # assert data.conditions[0] == "a"
-#     data_b = multidms.Data(
-#         TEST_FUNC_SCORES,
-#         alphabet=multidms.AAS_WITHSTOP,
-#         reference="b",
-#         assert_site_integrity=True,
-#         name="test_data",
-#     )
-#     assert data_b.conditions[0] == "b"
-#     model = multidms.Model(data_b)
-#     assert model.data.conditions == tuple(["b", "a"])
-#     assert tuple(model.params["beta"].keys()) == tuple(["b", "a"])
-#     assert tuple(model.params["shift"].keys()) == tuple(["b", "a"])
-
-
 def test_site_integrity():
     """
     Test that the site integrity is maintained
@@ -173,7 +155,7 @@ def test_non_identical_mutations_property():
     assert jnp.sum(data.non_identical_idxs["b"]) == 1
 
 
-# TODO take a closer look at this.
+## TODO take a closer look at this.
 def test_non_identical_conversion():
     """
     Test the conversion to with respect reference wt sequence.
@@ -248,6 +230,25 @@ def test_difference_matrix():
         assert jnp.all(D @ test_vec == expected_result)
 
 
+def test_transform_inverse():
+    """
+    Test that the transform operation is
+    its own inverse.
+    """
+    print(data.non_identical_idxs)
+    model = multidms.Model(data, multidms.biophysical.identity_activation, PRNGKey=23)
+    params = model._scaled_data_params
+    non_identical_idxs = data.non_identical_idxs
+    print(params)
+    double_inverse = multidms.utils.transform(
+        multidms.utils.transform(params, non_identical_idxs), non_identical_idxs
+    )
+    assert np.all(params["beta"]["a"] == double_inverse["beta"]["a"])
+    assert np.all(params["beta"]["b"] == double_inverse["beta"]["b"])
+    assert np.all(params["beta0"]["a"] == double_inverse["beta0"]["a"])
+    assert np.all(params["beta0"]["b"] == double_inverse["beta0"]["b"])
+
+
 r"""
 +++++++++++++++++++++++++++++
 MODEL
@@ -335,12 +336,13 @@ def test_wildtype_mutant_predictions():
     for condition in model.data.conditions:
         latent_offset = model.params["beta0"][condition]
         byhand_wt_latent_pred = latent_offset
+
         if condition != model.data.reference:
             converted_subs = model.data.convert_subs_wrt_ref_seq(condition, "")
             bmap = model.data.binarymaps[model.data.reference]
             enc = bmap.sub_str_to_binary(converted_subs)
             assert sum(enc) == len(converted_subs.split())
-            mut_params = model.get_mutations_df(phenotype_as_effect=False).query(
+            mut_params = model.get_mutations_df().query(
                 "mutation.isin(@converted_subs.split())"
             )
             bundle_effect = mut_params[f"beta_{condition}"].sum()
@@ -380,18 +382,40 @@ def test_mutations_df():
     )
     model = multidms.Model(data, PRNGKey=23)
     model.fit(maxiter=2, warn_unconverged=False)
+
+    # We want to make sure the predictions in this method are as expected
+    mutations_df = model.get_mutations_df()
+
+    # we'll compare it to predictions done by hand
     sig_params = model.params["theta"]
     scale, bias = sig_params["ge_scale"], sig_params["ge_bias"]
-    mutations_df = model.get_mutations_df(phenotype_as_effect=False)
-    for i, mutation in enumerate(model.data.mutations):
-        effect = model.params["beta"][data.reference][i]
-        for condition in model.data.conditions:
+    wildtype_df = model.wildtype_df
+
+    for condition in model.data.conditions:
+        wildtype_func_score = wildtype_df.loc[condition, "predicted_func_score"]
+        for i, mutation in enumerate(model.data.mutations):
+            mut_df_pred = mutations_df.loc[
+                mutation, f"predicted_func_score_{condition}"
+            ]
+
+            ref_effect = model.params["beta"][data.reference][i]
             shift = model.params["shift"][f"{condition}"][i]
-            byhand_latent = effect + shift + model.params["beta0"][condition]
+            effect = ref_effect + shift
+            assert np.isclose(effect, model.params["beta"][condition][i])
+
+            converted_wrt_ref = model.data.convert_subs_wrt_ref_seq(condition, mutation)
+            binarymap = model.data.binarymaps[condition]
+            converted_wrt_ref_enc = binarymap.sub_str_to_binary(converted_wrt_ref)
+            bool_enc = converted_wrt_ref_enc.astype(bool)
+            additive_effect = sum(model.params["beta"][condition][bool_enc])
+            latent_offset = model.params["beta0"][condition]
+            byhand_latent = additive_effect + latent_offset
             byhand_func_score = scale / (1 + np.exp(-1 * byhand_latent)) + bias
+            byhand_func_score_effect = byhand_func_score - wildtype_func_score
+
             assert np.isclose(
-                byhand_func_score,
-                mutations_df.loc[mutation, f"predicted_func_score_{condition}"],
+                byhand_func_score_effect,
+                mut_df_pred,
             )
 
 
@@ -536,7 +560,7 @@ def test_model_get_df_loss_conditional():
     df_loss = model.get_df_loss(TEST_FUNC_SCORES, conditional=True)
     # remove full and compare sum of the rest
     df_loss.pop("total")
-    assert loss == sum(df_loss.values())
+    assert loss == sum(df_loss.values()) / len(df_loss)
 
 
 def test_conditional_loss():

From 77a7809444b009ee7f175e3378df7b2291a9f62c Mon Sep 17 00:00:00 2001
From: jgallowa07 <jaredgalloway07@gmail.com>
Date: Tue, 4 Jun 2024 13:35:49 -0700
Subject: [PATCH 4/6] full cleanup of generalized lasso

---
 .github/workflows/build_test_package.yml |   3 +-
 .gitignore                               |   2 -
 multidms/biophysical.py                  |  14 +-
 multidms/data.py                         | 112 ++++++------
 multidms/model.py                        | 220 ++++++++++-------------
 multidms/model_collection.py             |  33 +---
 multidms/utils.py                        | 153 ++++++++++++++--
 tests/test_data.py                       |  98 ++++++----
 8 files changed, 365 insertions(+), 270 deletions(-)

diff --git a/.github/workflows/build_test_package.yml b/.github/workflows/build_test_package.yml
index 8f1dd9b..c6e73a8 100644
--- a/.github/workflows/build_test_package.yml
+++ b/.github/workflows/build_test_package.yml
@@ -53,8 +53,7 @@ jobs:
 
       - name: Test
         run: |
-          # pytest --doctest-modules multidms tests
-          pytest multidms tests
+          pytest --doctest-modules multidms tests
 
       - name: Test docs build
         run: |
diff --git a/.gitignore b/.gitignore
index 1500222..3e2e33c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -7,8 +7,6 @@ Attic/
 docs/multidms*rst
 .vscode
 
-notebooks/output/
-
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
diff --git a/multidms/biophysical.py b/multidms/biophysical.py
index 913d3a0..35d852c 100644
--- a/multidms/biophysical.py
+++ b/multidms/biophysical.py
@@ -36,13 +36,11 @@
 import jax.numpy as jnp
 from jaxopt.loss import huber_loss
 
-from multidms.utils import transform  # TODO namespace for utils?
+from multidms.utils import transform
 import pyproximal
 import jax
 
-# jax.config.update("jax_enable_x64", True)
-# TODO, each of these should be a class that decends from a base model_component class
-# and should have a method that returns the function with the parameters as arguments
+jax.config.update("jax_enable_x64", True)
 
 r"""
 +++++++++++++++++++++++++++++
@@ -278,11 +276,11 @@ def softplus_activation(d_params, act, lower_bound=-3.5, hinge_scale=0.1, **kwar
     """
     return (
         hinge_scale
-        # TODO GAMMA
+        # GAMMA
         # * (jnp.logaddexp(0, (act - (lower_bound + d_params["gamma_d"])) / hinge_scale))
         * (jnp.logaddexp(0, act - lower_bound / hinge_scale))
         + lower_bound
-        # TODO GAMMA
+        # GAMMA
         # + d_params["gamma_d"]
     )
 
@@ -452,7 +450,7 @@ def smooth_objective(
         d_params = {
             "beta0": params["beta0"][condition],
             "beta": params["beta"][condition],
-            # TODO GAMMA
+            # GAMMA
             # "gamma": params["gamma"][condition],
             "theta": params["theta"],
         }
@@ -463,7 +461,7 @@ def smooth_objective(
         # compute the Huber loss between observed and predicted
         # functional scores
         huber_cost += huber_loss(
-            # TODO GAMMA
+            # GAMMA
             # y[condition] + d_params["gamma"], y_d_predicted, huber_scale
             y[condition],
             y_d_predicted,
diff --git a/multidms/data.py b/multidms/data.py
index 77e31d3..cac68f4 100644
--- a/multidms/data.py
+++ b/multidms/data.py
@@ -8,9 +8,8 @@
 """
 
 import os
-from functools import partial
+from functools import partial, cached_property
 import warnings
-import re
 
 import binarymap as bmap
 import numpy as onp
@@ -20,7 +19,7 @@
 from tqdm.auto import tqdm
 
 from multidms import AAS
-from multidms.utils import rereference
+from multidms.utils import rereference, split_subs
 
 import jax
 import jax.numpy as jnp
@@ -32,31 +31,6 @@
 jax.config.update("jax_enable_x64", True)
 
 
-# TODO why use these when we have the mut parser object? DEPRECATE probably
-def split_sub(sub_string):
-    """String match the wt, site, and sub aa
-    in a given string denoting a single substitution
-    """
-    pattern = r"(?P<aawt>[A-Z])(?P<site>[\d\w]+)(?P<aamut>[A-Z\*])"
-    match = re.search(pattern, sub_string)
-    assert match is not None, sub_string
-    return match.group("aawt"), str(match.group("site")), match.group("aamut")
-
-
-def split_subs(subs_string, parser=split_sub):
-    """Wrap the split_sub func to work for a
-    string containing multiple substitutions
-    """
-    wts, sites, muts = [], [], []
-    for sub in subs_string.split():
-        wt, site, mut = parser(sub)
-        wts.append(wt)
-        sites.append(site)
-        muts.append(mut)
-    return wts, sites, muts
-
-
-# TODO add validation split
 class Data:
     r"""
     Prep and store one-hot encoding of
@@ -213,8 +187,6 @@ class notes.
     8         b          M1E P3R        -2.7     G3R M1E
     """
 
-    counter = 0
-
     def __init__(
         self,
         variants_df: pd.DataFrame,
@@ -480,21 +452,19 @@ def get_nis_from_site_map(site_map):
 
         # Make BinaryMap representations for each condition
         allowed_subs = {s for subs in df.var_wrt_ref for s in subs.split()}
-        # assert isinstance(allowed_subs, set) # TODO remove
         binmaps, X, y, w = {}, {}, {}, {}
-        self._non_identical_idxs = {}
+        self._bundle_idxs = {}
         self._scaled_training_data = {"X": {}, "y": y, "w": w}
         for condition, condition_func_score_df in df.groupby("condition"):
-            # TODO rename
-            ref_bmap = bmap.BinaryMap(
+            cond_bmap = bmap.BinaryMap(
                 condition_func_score_df,
                 substitutions_col="var_wrt_ref",
                 allowed_subs=allowed_subs,
                 alphabet=self.alphabet,
                 sites_as_str=letter_suffixed_sites,
             )
-            binmaps[condition] = ref_bmap
-            X[condition] = sparse.BCOO.from_scipy_sparse(ref_bmap.binary_variants)
+            binmaps[condition] = cond_bmap
+            X[condition] = sparse.BCOO.from_scipy_sparse(cond_bmap.binary_variants)
             y[condition] = jnp.array(condition_func_score_df["func_score"].values)
             if "weight" in condition_func_score_df.columns:
                 w[condition] = jnp.array(condition_func_score_df["weight"].values)
@@ -502,19 +472,19 @@ def get_nis_from_site_map(site_map):
             # next, we need to create a "scaled" dataset
             # where the bits are flipped in the one-hot encoding
             # for all non identical mutations
-            # see TODO for more
-            self._non_identical_idxs[condition] = jnp.array(
+            # see https://github.com/matsengrp/multidms/issues/156 for more
+            self._bundle_idxs[condition] = jnp.array(
                 [
                     idx
-                    in ref_bmap.sub_str_to_indices(non_identical_mutations[condition])
-                    for idx in range(len(ref_bmap.all_subs))
+                    in cond_bmap.sub_str_to_indices(non_identical_mutations[condition])
+                    for idx in range(len(cond_bmap.all_subs))
                 ]
             )
             self._scaled_training_data["X"][condition] = rereference(
-                X[condition], self._non_identical_idxs[condition]
+                X[condition], self._bundle_idxs[condition]
             )
 
-        self._mutations = tuple(ref_bmap.all_subs)
+        self._mutations = tuple(cond_bmap.all_subs)
         # initialize single mutational effects df
         mut_df = pd.DataFrame({"mutation": self._mutations})
         mut_df["wts"], mut_df["sites"], mut_df["muts"] = zip(
@@ -527,7 +497,7 @@ def get_nis_from_site_map(site_map):
             times_seen = pd.Series(
                 self._scaled_training_data["X"][condition].sum(0).todense()
             )
-            times_seen.index = ref_bmap.all_subs
+            times_seen.index = cond_bmap.all_subs
 
             assert (times_seen == times_seen.astype(int)).all()
             times_seen.index.name = "mutation"
@@ -540,18 +510,25 @@ def get_nis_from_site_map(site_map):
 
         self._mutations_df = mut_df
 
-        # TODO I think we don't need this anymore
-        self._name = name if isinstance(name, str) else f"Data-{Data.counter}"
-
-        Data.counter += 1
+        self._name = name if isinstance(name, str) else "unnamed"
 
     def __repr__(self):
         """Returns a string representation of the object."""
-        return f"{self.__class__.__name__}({self.name})"
+        return f"{self.__class__.__name__}"
 
-    def _str__(self):
-        """Returns a string representation of the object."""
-        return f"{self.__class__.__name__}({self.name})"
+    def __str__(self):
+        """
+        Returns a string representation of the object with a few helpful
+        attributes.
+        """
+        return (
+            f"{self.__class__.__name__}\n"
+            f"Name: {self.name}\n"
+            f"Conditions: {self.conditions}\n"
+            f"Reference: {self.reference}\n"
+            f"Number of Mutations: {len(self.mutations)}\n"
+            f"Number of Variants: {len(self.variants_df)}\n"
+        )
 
     @property
     def name(self) -> str:
@@ -619,15 +596,14 @@ def non_identical_sites(self) -> dict:
         """
         return self._non_identical_sites
 
-    # TODO should we rename "non_identical" -> "bundle" everywhere?
     @property
-    def non_identical_idxs(self) -> dict:
+    def bundle_idxs(self) -> dict:
         """
         A dictionary keyed by condition names with values
         being the indices into the binarymap representing
         bundle (non_identical) mutations
         """
-        return self._non_identical_idxs
+        return self._bundle_idxs
 
     @property
     def reference_sequence_conditions(self) -> list:
@@ -686,6 +662,34 @@ def parse_muts(self) -> partial:
         """
         return self._parse_muts
 
+    @cached_property
+    def single_mut_encodings(self):
+        """
+        A dictionary keyed by condition names with values
+        being the one-hot encoding of all single mutations
+        """
+        # all reference sequence conditions encodings are single the identity matrix
+        single_mut_encodings = {
+            condition: sparse.BCOO.fromdense(onp.identity(len(self.mutations)))
+            for condition in self.reference_sequence_conditions
+        }
+        # conditions which are not reference sequence conditions must call the
+        for condition in self.conditions:
+            if condition in self.reference_sequence_conditions:
+                continue
+            single_mut_encodings[condition] = sparse.BCOO.fromdense(
+                onp.vstack(
+                    [
+                        self.binarymaps[condition].sub_str_to_binary(
+                            self.convert_subs_wrt_ref_seq(condition, sub)
+                        )
+                        for sub in self.mutations
+                    ]
+                )
+            )
+
+        return single_mut_encodings
+
     def convert_subs_wrt_ref_seq(self, condition, aa_subs):
         """
         Covert amino acid substitutions to be with respect to the reference sequence.
diff --git a/multidms/model.py b/multidms/model.py
index 2128760..19375d1 100644
--- a/multidms/model.py
+++ b/multidms/model.py
@@ -8,7 +8,7 @@
 
 import math
 import warnings
-from functools import partial, reduce, cached_property
+from functools import lru_cache, partial, reduce, cached_property
 from frozendict import frozendict
 
 from multidms import Data
@@ -203,18 +203,13 @@ class Model:
 
     The model tunes its parameters in place, and the subsequent call to retrieve
     the loss reflects our models loss given its updated parameters.
-
-    TODO: add more examples, and explain the convergence criteria and warning.
     """  # noqa: E501
 
-    counter = 0
-
     def __init__(
         self,
         data: Data,
         epistatic_model=multidms.biophysical.sigmoidal_global_epistasis,
         output_activation=multidms.biophysical.identity_activation,
-        # conditional_shifts=True,
         # gamma_corrected=False,
         PRNGKey=0,
         lower_bound=None,
@@ -224,8 +219,7 @@ def __init__(
         name=None,
     ):
         """See class docstring."""
-        # self.gamma_corrected = gamma_corrected TODO
-        # self.conditional_shifts = conditional_shifts
+        # self.gamma_corrected = gamma_corrected GAMMA
 
         self._data = data
 
@@ -247,7 +241,7 @@ def __init__(
             self._scaled_data_params["shift"] = {
                 cond: jnp.zeros(shape=(n_beta_shift,)) for cond in data.conditions
             }
-            # TODO GAMMA
+            # GAMMA
             # self._params["gamma"] = {
             #     cond: jnp.zeros(shape=(1,)) for cond in data.conditions
             # }
@@ -262,8 +256,6 @@ def __init__(
             )
 
         elif epistatic_model == multidms.biophysical.softplus_global_epistasis:
-            # TODO Could infer here such that the parameters are initialized to the
-            # range of the data?
             if output_activation != multidms.biophysical.softplus_activation:
                 warnings.warn(
                     "softplus_global_epistasis has no natural lower bound,"
@@ -343,37 +335,54 @@ def __init__(
             }
         )
 
-        self._name = name if isinstance(name, str) else f"Model-{Model.counter}"
+        self._name = name if isinstance(name, str) else "unnamed"
 
         # None of the following are set until the fit() is called.
         self._state = None
         self._convergence_trajectory = None
         self._converged = False
-        Model.counter += 1
 
     def __repr__(self):
         """Returns a string representation of the object."""
-        return f"{self.__class__.__name__}({self.name})"
+        return f"{self.__class__.__name__}"
 
     def __str__(self):
-        """Returns a string representation of the object."""
-        return f"{self.__class__.__name__}({self.name})"
+        """
+        Returns a string representation of the object with a few helpful
+        attributes.
+        """
+        return (
+            f"{self.__class__.__name__}\n"
+            f"Name: {self.name}\n"
+            f"Data: {self.data.name}\n"
+            f"Converged: {self.converged}\n"
+        )
 
     def _clear_cache(self):
-        """Clear cached properties"""
-        if "params" in self.__dict__:
-            del self.__dict__["params"]
+        """
+        identify and clear cached properties. This is useful
+        after a model has been fit and the parameters have been
+        updated.
+        """
+        # find all cached properties and clear them
+        cls = self.__class__
+        cached_properties = [
+            cp for cp in dir(self) if isinstance(getattr(cls, cp, cls), cached_property)
+        ]
+        for a in cached_properties:
+            self.__dict__.pop(a, None)
+
+        # find all lru_cache methods and call clear_cache on them
+        for a in dir(self):
+            attr = getattr(self, a)
+            if hasattr(attr, "cache_clear"):
+                attr.cache_clear()
 
     @property
     def name(self) -> str:
         """The name of the data object."""
         return self._name
 
-    @cached_property
-    def params(self) -> dict:
-        """A copy of all current model parameters"""
-        return transform(self._scaled_data_params, self.data.non_identical_idxs)
-
     @property
     def state(self) -> dict:
         """The current state of the model."""
@@ -400,62 +409,61 @@ def model_components(self) -> frozendict:
         """
         return self._model_components
 
-    # TODO cached_property
     @property
+    def convergence_trajectory_df(self):
+        """
+        The state.error through each training iteration.
+        Currentlty, this is reset each time the fit() method is called
+        """
+        return self._convergence_trajectory
+
+    @cached_property
+    def params(self) -> dict:
+        """A copy of all current model parameters"""
+        return transform(self._scaled_data_params, self.data.bundle_idxs)
+
+    @cached_property
     def loss(self) -> float:
         """
-        Compute model loss on all experimental training data
+        Compute un-penalized model loss on all experimental training data
         without ridge or lasso penalties included.
         """
-        kwargs = {
-            "scale_coeff_ridge_beta": 0.0,
-            # "scale_coeff_ridge_shift": 0.0,
-            # "scale_coeff_ridge_gamma": 0.0,
-            # "scale_ridge_alpha_d": 0.0,
-        }
         data = (self.data.training_data["X"], self.data.training_data["y"])
-        return float(
-            jax.jit(self.model_components["objective"])(self.params, data, **kwargs)
-        )
+        return float(jax.jit(self.model_components["objective"])(self.params, data))
 
-    # TODO cached_property
-    @property
+    @cached_property
     def conditional_loss(self) -> float:
-        """Compute loss individually for each condition."""
-        kwargs = {
-            "scale_coeff_ridge_beta": 0.0,
-            # "scale_coeff_ridge_shift": 0.0,
-            # "scale_coeff_ridge_gamma": 0.0,
-            # "scale_ridge_alpha_d": 0.0,
-        }
-
+        """Compute un-penalized loss individually for each condition."""
         X, y = self.data.training_data["X"], self.data.training_data["y"]
         loss_fxn = jax.jit(self.model_components["objective"])
         ret = {}
         for condition in self.data.conditions:
             condition_data = ({condition: X[condition]}, {condition: y[condition]})
-            ret[condition] = float(loss_fxn(self.params, condition_data, **kwargs))
+            ret[condition] = float(loss_fxn(self.params, condition_data))
         ret["total"] = sum(ret.values()) / len(ret.values())
         return ret
 
-    @property
-    def convergence_trajectory_df(self):
+    @cached_property
+    def wildtype_df(self):
         """
-        The state.error through each training iteration.
-        Currentlty, this is reset each time the fit() method is called
+        Get a dataframe indexed by condition wildtype
+        containing the prediction features for each.
         """
-        return self._convergence_trajectory
+        wildtype_df = (
+            pd.DataFrame(index=self.data.conditions)
+            .assign(predicted_latent=onp.nan)
+            .assign(predicted_func_score=onp.nan)
+        )
+        for condition in self.data.conditions:
+            for pheno, model in zip(
+                ["latent", "func_score"],
+                [self.latent_fromsubs, self.phenotype_fromsubs],
+            ):
+                wildtype_df.loc[condition, f"predicted_{pheno}"] = model("", condition)
 
-    @property
-    def variants_df(self):
-        """
-        Kept for backwards compatibility but will be removed in future versions.
-        Please use `get_variants_df` instead.
-        """
-        warnings.warn("deprecated", DeprecationWarning)
-        return self.get_variants_df(phenotype_as_effect=False)
+        return wildtype_df
 
-    # TODO cached_property
+    @lru_cache(maxsize=3)
     def get_variants_df(self, phenotype_as_effect=True):
         """
         Training data with model predictions for latent,
@@ -486,7 +494,7 @@ def get_variants_df(self, phenotype_as_effect=True):
 
         # if we're a gamma corrected model, also report the "corrected"
         # observed func score, as we do during training.
-        # TODO GAMMA
+        # GAMMA
         # if self.gamma_corrected:
         # variants_df["corrected_func_score"] = variants_df["func_score"]
 
@@ -511,7 +519,7 @@ def get_variants_df(self, phenotype_as_effect=True):
 
                 variants_df.loc[condition_df.index, f"predicted_{pheno}"] = Y_pred
 
-            # TODO GAMMA
+            # GAMMA
             # if self.gamma_corrected:
             #     variants_df.loc[
             # condition_df.index,
@@ -522,22 +530,9 @@ def get_variants_df(self, phenotype_as_effect=True):
 
         return variants_df
 
-    @property  # TODO deprecated
-    def mutations_df(self):
-        """
-        Kept for backwards compatibility but will be removed in future versions.
-        Please use `get_mutations_df` instead.
-        """
-        warnings.warn("deprecated", DeprecationWarning)
-        return self.get_mutations_df(phenotype_as_effect=False)
-
-    # TODO cached_property
-    # TODO output_shape "wide" or "long"
+    @lru_cache(maxsize=3)
     def get_mutations_df(
-        self,
-        times_seen_threshold=0,
-        phenotype_as_effect=True,
-        return_split=True,
+        self, times_seen_threshold=0, phenotype_as_effect=True, return_split=True
     ):
         """
         Mutation attributes and phenotypic effects
@@ -571,7 +566,7 @@ def get_mutations_df(
             - predicted_func_score_a, predicted_func_score_b, ... : the
                 predicted functional score of the mutation.
         """
-        mutations_df = self.data.mutations_df.set_index("mutation")
+        mutations_df = self.data.mutations_df.set_index("mutation")  # returns a copy
         if not return_split:
             mutations_df.drop(
                 ["wts", "sites", "muts"],
@@ -593,27 +588,18 @@ def get_mutations_df(
 
         params = self.params
         for condition in self.data.conditions:
-            # shift of latent effect
             mutations_df[f"beta_{condition}"] = params["beta"][condition]
-
             if condition != self._data.reference:
                 mutations_df[f"shift_{condition}"] = params["shift"][condition]
 
-        # if include_phenotype_predictions:
-        wildtype_df = self.wildtype_df
         for condition in self.data.conditions:
-            wt_func_score = wildtype_df.loc[condition, "predicted_func_score"]
-            mutations_df[f"predicted_func_score_{condition}"] = [
-                pheno[0]
-                for pheno in list(
-                    map(
-                        partial(self.phenotype_fromsubs, condition=condition),
-                        mutations_df.index,
-                    )
-                )
-            ]
+            single_mut_binary = self.data.single_mut_encodings[condition]
+            mutations_df[f"predicted_func_score_{condition}"] = (
+                self.phenotype_frombinary(single_mut_binary, condition=condition)
+            )
+
             if phenotype_as_effect:
-                # TODO always do phenotype "as effect"?
+                wt_func_score = self.wildtype_df.loc[condition, "predicted_func_score"]
                 mutations_df[f"predicted_func_score_{condition}"] -= wt_func_score
 
         # filter by times seen
@@ -866,9 +852,9 @@ def add_phenotypes_to_df(
             if phenotype_as_effect:
                 latent_predictions -= wildtype_df.loc[condition, "predicted_latent"]
             latent_predictions[nan_variant_indices] = onp.nan
-            ret.loc[
-                condition_df.index.values, latent_phenotype_col
-            ] = latent_predictions
+            ret.loc[condition_df.index.values, latent_phenotype_col] = (
+                latent_predictions
+            )
 
             # func_score predictions on binary variants, X
             phenotype_predictions = onp.array(
@@ -880,32 +866,12 @@ def add_phenotypes_to_df(
                     condition, "predicted_func_score"
                 ]
             phenotype_predictions[nan_variant_indices] = onp.nan
-            ret.loc[
-                condition_df.index.values, observed_phenotype_col
-            ] = phenotype_predictions
+            ret.loc[condition_df.index.values, observed_phenotype_col] = (
+                phenotype_predictions
+            )
 
         return ret
 
-    @property
-    def wildtype_df(self):
-        """
-        Get a dataframe indexed by condition wildtype
-        containing the prediction features for each.
-        """
-        wildtype_df = (
-            pd.DataFrame(index=self.data.conditions)
-            .assign(predicted_latent=onp.nan)
-            .assign(predicted_func_score=onp.nan)
-        )
-        for condition in self.data.conditions:
-            for pheno, model in zip(
-                ["latent", "func_score"],
-                [self.latent_fromsubs, self.phenotype_fromsubs],
-            ):
-                wildtype_df.loc[condition, f"predicted_{pheno}"] = model("", condition)
-
-        return wildtype_df
-
     def mutation_site_summary_df(self, agg_func=onp.mean, times_seen_threshold=0):
         """
         Get all single mutational attributes from self._data
@@ -930,7 +896,7 @@ def get_condition_params(self, condition=None):
             "beta0": self.params["beta0"][condition],
             "beta": self.params["beta"][condition],
             "shift": self.params["shift"][condition],
-            # TODO GAMMA
+            # GAMMA
             # "gamma": self.params["gamma"][condition],
             "theta": self.params["theta"],
         }
@@ -949,13 +915,13 @@ def phenotype_fromsubs(self, aa_subs, condition=None):
                 )
             ]
         )
-        return self.phenotype_frombinary(X, condition)
+        return float(self.phenotype_frombinary(X, condition)[0])
 
     def latent_fromsubs(self, aa_subs, condition=None):
         """
         take a single string of subs which are
         not already converted wrt reference, convert them and
-        then make a latent prediction and return the result.
+        them make a latent prediction and return the result.
         """
         converted_subs = self.data.convert_subs_wrt_ref_seq(condition, aa_subs)
         X = jnp.array(
@@ -1094,7 +1060,7 @@ def fit(
         # if we have more than one condition, we need to set up the ADMM optimization
         if len(self.data.conditions) > 1:
             non_identical_signs = {
-                condition: jnp.where(self.data._non_identical_idxs[condition], -1, 1)
+                condition: jnp.where(self.data._bundle_idxs[condition], -1, 1)
                 for condition in self.data.conditions
             }
             non_identical_sign_matrix = jnp.vstack(
@@ -1128,7 +1094,7 @@ def fit(
                 admm_mu,
                 upper_bound_ge_scale,
                 lock_params,
-                self.data.non_identical_idxs,
+                self.data.bundle_idxs,
             )
 
             compiled_proximal = partial(self._model_components["proximal"], Dop)
@@ -1137,7 +1103,7 @@ def fit(
             hyperparams_prox = (
                 upper_bound_ge_scale,
                 lock_params,
-                self.data.non_identical_idxs,
+                self.data.bundle_idxs,
             )
             # compiled_proximal = jax.jit(self._model_components["proximal"])
             compiled_proximal = self._model_components["proximal"]
@@ -1358,10 +1324,6 @@ def plot_epistasis(
             plt.show()
         return ax
 
-    # TODO - default param
-    # TODO - add docstring
-    # TODO - add tests
-    # TODO - optional stops
     def plot_param_hist(
         self, param, show=True, saveas=False, times_seen_threshold=3, ax=None, **kwargs
     ):
diff --git a/multidms/model_collection.py b/multidms/model_collection.py
index 186ba76..0da8d1b 100644
--- a/multidms/model_collection.py
+++ b/multidms/model_collection.py
@@ -13,6 +13,7 @@
 import logging
 
 import multidms
+from multidms.utils import explode_params_dict, my_concat
 
 import pandas as pd
 import jax
@@ -42,35 +43,11 @@ class ModelCollectionFitError(Exception):
     pass
 
 
-# TODO move to utils
-# https://github.com/microsoft/pylance-release/issues/5630
-def my_concat(dfs_list, axis=0):
-    """simple pd.concat wrapper for bug with vscode pylance"""  # noqa
-    return pd.concat(dfs_list, axis=axis)
-
-
-# TODO move to utils
-def _explode_params_dict(params_dict):
-    """
-    Given a dictionary of model parameters,
-    of which any of the values can be a list of values,
-    compute all combinations of model parameter sets
-    and returns a list of dictionaries representing each
-    of the parameter sets.
-    """
-    varNames = sorted(params_dict)
-    return [
-        dict(zip(varNames, prod))
-        for prod in it.product(*(params_dict[varName] for varName in varNames))
-    ]
-
-
-# TODO could kwargs be used both for init and fit of model?
 def fit_one_model(
     dataset,
     epistatic_model="Sigmoid",
     output_activation="Identity",
-    # gamma_corrected=False,  # TODO GAMMA experimental, mark as such
+    # gamma_corrected=False,  # GAMMA
     init_theta_scale=6.5,
     init_theta_bias=-3.5,
     n_hidden_units=5,
@@ -138,14 +115,13 @@ def fit_one_model(
         "Softplus": multidms.biophysical.softplus_activation,
     }
 
-    # should these all be kwargs?
     imodel = multidms.Model(
         dataset,
         epistatic_model=biophysical_model[epistatic_model],
         output_activation=biophysical_model[output_activation],
         init_theta_scale=init_theta_scale,
         init_theta_bias=init_theta_bias,
-        # gamma_corrected=gamma_corrected, TODO GAMMA
+        # gamma_corrected=gamma_corrected, GAMMA
         n_hidden_units=n_hidden_units,
         lower_bound=lower_bound,
         PRNGKey=PRNGKey,
@@ -191,7 +167,6 @@ def stack_fit_models(fit_models_list):
     return pd.concat([f.to_frame().T for f in fit_models_list], ignore_index=True)
 
 
-# TODO make it easier to debug failed fits
 def fit_models(params, n_threads=-1, failures="error"):
     """Fit collection of :class:`multidms.model.Model` models.
 
@@ -233,7 +208,7 @@ def fit_models(params, n_threads=-1, failures="error"):
     if n_threads == -1:
         n_threads = multiprocessing.cpu_count()
 
-    exploded_params = _explode_params_dict(params)
+    exploded_params = explode_params_dict(params)
     # if __name__ == "__main__":
     # see https://pythonspeed.com/articles/python-multiprocessing/ for why we spawn
     with get_context("spawn").Pool(n_threads) as p:
diff --git a/multidms/utils.py b/multidms/utils.py
index 04a5fb5..12417ae 100644
--- a/multidms/utils.py
+++ b/multidms/utils.py
@@ -7,20 +7,111 @@
 """
 
 import scipy as sp
+import pandas as pd
 import jax
 import jax.numpy as jnp
+import re
+import itertools as it
 
 
-# TODO add
-# scale_coeff_lasso_shift = lambda x:
-# x.scale_coeff_lasso_shift.apply(lambda x: "{:.2e}".format(x))
+def explode_params_dict(params_dict):
+    """
+    Given a dictionary of model parameters,
+    of which any of the values can be a list of values,
+    compute all combinations of model parameter sets
+    and returns a list of dictionaries representing each
+    of the parameter sets.
+    """
+    varNames = sorted(params_dict)
+    return [
+        dict(zip(varNames, prod))
+        for prod in it.product(*(params_dict[varName] for varName in varNames))
+    ]
+
+
+def my_concat(dfs_list, axis=0):
+    """
+    simple pd.concat wrapper for bug with vscode pylance
+    See https://github.com/matsengrp/multidms/issues/156 for more details
+    """  # noqa
+    return pd.concat(dfs_list, axis=axis)
+
+
+def split_sub(sub_string):
+    """
+    A very simplistic function to split a mutations string into its constituent parts.
+    This function is only designed to work with simple mutation strings of the form
+    `A123B`, where `A` is the wildtype amino acid, `123` is the site, and `B` is the
+    mutant amino acid.
+
+    .. note::
+        It is favorable to use the `polyclonal.utils.MutationParser` class instead,
+        as that provides the ability to parse more complex mutation strings using allowed
+        alphabets.
+
+    Parameters
+    ----------
+    sub_string : str
+        A string containing a single mutation
+
+    Returns
+    -------
+    tuple
+        A tuple containing the wildtype amino acid, site, and mutant amino acid
+    """
+    pattern = r"(?P<aawt>[A-Z])(?P<site>[\d\w]+)(?P<aamut>[A-Z\*])"
+    match = re.search(pattern, sub_string)
+    assert match is not None, sub_string
+    return match.group("aawt"), str(match.group("site")), match.group("aamut")
+
+
+def split_subs(subs_string, parser=split_sub):
+    """
+    Given a mutation parsing function, split a string of mutations
+    into three lists containing the wildtype amino acids, sites, and
+    mutant amino acids.
+
+    Parameters
+    ----------
+    subs_string : str
+        A string containing multiple mutations
+
+    parser : function
+        A function that can parse a single mutation string and returns a tuple
+        containing the wildtype amino acid, site, and mutant amino acid
+
+    Returns
+    -------
+    tuple
+        A tuple containing the wildtype amino acids, sites, and mutant amino acids
+        as lists
+    """
+    wts, sites, muts = [], [], []
+    for sub in subs_string.split():
+        wt, site, mut = parser(sub)
+        wts.append(wt)
+        sites.append(site)
+        muts.append(mut)
+    return wts, sites, muts
 
 
 def difference_matrix(n, ref_index=0):
     """
     Given some number of conditions, return the difference matrix
     for computing shifts between adjacent conditional beta parameters.
-    This always assumes the reference condition is the first condition.
+
+    Parameters
+    ----------
+    n : int
+        The number of conditions
+    ref_index : int
+        The index of the reference condition
+
+    Returns
+    -------
+    jnp.ndarray
+        A difference matrix for computing shifts between
+        adjacent conditional beta parameters
     """
     D = jnp.eye(n, n).at[:, ref_index].set(-1).at[ref_index].set(0)
 
@@ -30,9 +121,25 @@ def difference_matrix(n, ref_index=0):
 def transform(params, bundle_idxs):
     """
     Transforms the beta coefficient parameters of a `multidms` model to be
-    negative for the bundles specified in `bundle_idxs`.
+    negative for the bundles specified in `bundle_idxs`, and the updated
+    beta0 parameters based on the new beta coefficients.
+    See `issue #156 <https://github.com/matsengrp/multidms/issues/156>`_ for more
+    on scaling parameters for training.
+
+    Parameters
+    ----------
+    params : dict
+        A dictionary containing the model parameters
+        "beta", and "beta0".
+    bundle_idxs : dict
+        A dictionary, keyed by condition
+        containing the bundle indices in the binarymap matrix.
 
-    TODO Finish
+    Returns
+    -------
+    dict
+        A dictionary containing the transformed model parameters
+        "beta", and "beta0".
     """
     params_transformed = {
         key: val.copy() for key, val in params.items() if key not in ["beta", "beta0"]
@@ -47,23 +154,41 @@ def transform(params, bundle_idxs):
     return params_transformed
 
 
-# TODO test
-def rereference(X, cols):
-    """Flip bits on columns (bool idxs)"""
-    if cols.sum():
+def rereference(X, bundle_idxs):
+    """
+    Given a binary matrix X and bundle indices, re-reference the matrix
+    to flip the bit signs for the bundles specified in `bundle_idxs`.
+    This function is used to scale the data matrix for training a model.
+    See `issue #156 <https://github.com/matsengrp/multidms/issues/156>`_ for more
+    on scaling parameters for training.
+
+    Parameters
+    ----------
+    X : jax.experimental.sparse.BCOO
+        A binary matrix
+    bundle_idxs : jnp.ndarray
+        An boolean array indicating the bundle indices in the binarymap matrix.
+
+    Returns
+    -------
+    jax.experimental.sparse.BCOO
+        A re-referenced binary matrix
+    """
+    if bundle_idxs.sum():
         X_scipy = sp.sparse.csr_matrix(
             (X.data, (X.indices[:, 0], X.indices[:, 1])), shape=X.shape
         ).tolil()
-        tmp = X_scipy[:, cols].copy()
-        X_scipy[:, cols] = 1
-        X_scipy[:, cols] -= tmp
+        tmp = X_scipy[:, bundle_idxs].copy()
+        X_scipy[:, bundle_idxs] = 1
+        X_scipy[:, bundle_idxs] -= tmp
         X_scaled = jax.experimental.sparse.BCOO.from_scipy_sparse(X_scipy)
         X_scaled = jax.experimental.sparse.BCOO(
             (X_scaled.data.astype(jnp.int8), X_scaled.indices), shape=X.shape
         )
 
         assert (
-            X[:, cols].sum(0).todense() + X_scaled[:, cols].sum(0).todense()
+            X[:, bundle_idxs].sum(0).todense()
+            + X_scaled[:, bundle_idxs].sum(0).todense()
             == X.shape[0]
         ).all()
 
diff --git a/tests/test_data.py b/tests/test_data.py
index 630a59e..f68e2b9 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -35,6 +35,7 @@
 )
 
 # TODO figure out correct way to setup the data
+# using pytest fixtures.
 data = multidms.Data(
     TEST_FUNC_SCORES,
     alphabet=multidms.AAS_WITHSTOP,
@@ -149,13 +150,10 @@ def test_conversion_from_subs():
 
 def test_non_identical_mutations_property():
     """Make sure we're getting the correct indicies for the bundle mutations"""
-    assert jnp.all(
-        data.non_identical_idxs["a"] == jnp.repeat(False, len(data.mutations))
-    )
-    assert jnp.sum(data.non_identical_idxs["b"]) == 1
+    assert jnp.all(data.bundle_idxs["a"] == jnp.repeat(False, len(data.mutations)))
+    assert jnp.sum(data.bundle_idxs["b"]) == 1
 
 
-## TODO take a closer look at this.
 def test_non_identical_conversion():
     """
     Test the conversion to with respect reference wt sequence.
@@ -193,21 +191,26 @@ def test_non_identical_conversion():
     )
 
 
-def test_data_names():
+def test_single_mut_encodings():
     """
-    Test that the default data names are correctly
-    updated as new Data objects are created within a
-    single python session.
+    Test that the binary encoding of single mutations
+    is correct.
     """
-    num_datasets = multidms.Data.counter
-    for i in range(3):
-        d_i = multidms.Data(
-            TEST_FUNC_SCORES,
-            alphabet=multidms.AAS_WITHSTOP,
-            reference="a",
-            assert_site_integrity=False,
-        )
-        assert d_i.name == f"Data-{num_datasets + i}"
+    data = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+    single_mut_encodings = data.single_mut_encodings
+    assert np.all(
+        np.array(single_mut_encodings["a"].todense()).flatten()
+        == np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]).flatten()
+    )
+    assert np.all(
+        np.array(single_mut_encodings["b"].todense()).flatten()
+        == np.array([[1, 0, 1, 0], [0, 1, 1, 0], [0, 0, 1, 0], [0, 0, 0, 1]]).flatten()
+    )
 
 
 r"""
@@ -217,6 +220,13 @@ def test_data_names():
 """
 
 
+def test_explode_params_dict():
+    """Test multidms.model_collection.explode_params_dict"""
+    params_dict = {"a": [1, 2], "b": [3]}
+    exploded = multidms.utils.explode_params_dict(params_dict)
+    assert exploded == [{"a": 1, "b": 3}, {"a": 2, "b": 3}]
+
+
 def test_difference_matrix():
     """
     Test that the difference matrix performs
@@ -235,13 +245,11 @@ def test_transform_inverse():
     Test that the transform operation is
     its own inverse.
     """
-    print(data.non_identical_idxs)
     model = multidms.Model(data, multidms.biophysical.identity_activation, PRNGKey=23)
     params = model._scaled_data_params
-    non_identical_idxs = data.non_identical_idxs
-    print(params)
+    bundle_idxs = data.bundle_idxs
     double_inverse = multidms.utils.transform(
-        multidms.utils.transform(params, non_identical_idxs), non_identical_idxs
+        multidms.utils.transform(params, bundle_idxs), bundle_idxs
     )
     assert np.all(params["beta"]["a"] == double_inverse["beta"]["a"])
     assert np.all(params["beta"]["b"] == double_inverse["beta"]["b"])
@@ -299,8 +307,9 @@ def test_fit_simple():
         assert_site_integrity=False,
     )
     model = multidms.Model(data, PRNGKey=23)
-
+    loss = model.loss
     model.fit(maxiter=2, warn_unconverged=False)
+    assert loss != model.loss
 
 
 def test_multi_cond_fit_simple():
@@ -319,6 +328,38 @@ def test_multi_cond_fit_simple():
     model.fit(maxiter=2, warn_unconverged=False)
 
 
+def test_scaled_predictions():
+    """
+    Test that the scaled data and parameter predictions
+    are the same as unscaled predictions.
+    """
+    model = multidms.Model(data, PRNGKey=23)
+    model.fit(maxiter=2, warn_unconverged=False)
+    pred_fxn = model.model_components["f"]
+    scaled_params = model._scaled_data_params
+    scaled_data = model.data.scaled_training_data["X"]
+    unscaled_params = model.params
+    unscaled_data = model.data.training_data["X"]
+    for condition in model.data.conditions:
+        scaled_d_params = {
+            "beta": scaled_params["beta"][condition],
+            "beta0": scaled_params["beta0"][condition],
+            "theta": scaled_params["theta"],
+        }
+        scaled_d_data = scaled_data[condition]
+        scaled_predictions = pred_fxn(scaled_d_params, scaled_d_data)
+
+        unscaled_d_params = {
+            "beta": unscaled_params["beta"][condition],
+            "beta0": unscaled_params["beta0"][condition],
+            "theta": unscaled_params["theta"],
+        }
+        unscaled_d_data = unscaled_data[condition]
+        unscaled_predictions = pred_fxn(unscaled_d_params, unscaled_d_data)
+
+        assert np.all(scaled_predictions == unscaled_predictions)
+
+
 def test_wildtype_mutant_predictions():
     """
     test that the wildtype predictions are correct
@@ -388,7 +429,7 @@ def test_mutations_df():
 
     # we'll compare it to predictions done by hand
     sig_params = model.params["theta"]
-    scale, bias = sig_params["ge_scale"], sig_params["ge_bias"]
+    scale, bias = sig_params["ge_scale"][0], sig_params["ge_bias"][0]
     wildtype_df = model.wildtype_df
 
     for condition in model.data.conditions:
@@ -408,7 +449,7 @@ def test_mutations_df():
             converted_wrt_ref_enc = binarymap.sub_str_to_binary(converted_wrt_ref)
             bool_enc = converted_wrt_ref_enc.astype(bool)
             additive_effect = sum(model.params["beta"][condition][bool_enc])
-            latent_offset = model.params["beta0"][condition]
+            latent_offset = model.params["beta0"][condition][0]
             byhand_latent = additive_effect + latent_offset
             byhand_func_score = scale / (1 + np.exp(-1 * byhand_latent)) + bias
             byhand_func_score_effect = byhand_func_score - wildtype_func_score
@@ -584,13 +625,6 @@ def test_conditional_loss():
 """
 
 
-def test_explode_params_dict():
-    """Test multidms.model_collection.explode_params_dict"""
-    params_dict = {"a": [1, 2], "b": [3]}
-    exploded = multidms.model_collection._explode_params_dict(params_dict)
-    assert exploded == [{"a": 1, "b": 3}, {"a": 2, "b": 3}]
-
-
 def test_fit_models():
     """
     Test fitting two different models in

From 04eaacece69c56cdd10d80ca09bb70c786edc27f Mon Sep 17 00:00:00 2001
From: jgallowa07 <jaredgalloway07@gmail.com>
Date: Tue, 11 Jun 2024 11:56:14 -0700
Subject: [PATCH 5/6] Finished all TODO's

---
 multidms/__init__.py         |  8 +++---
 multidms/model.py            | 35 ++++++++++-----------------
 multidms/model_collection.py | 18 ++++++++------
 tests/test_data.py           | 47 ++++++++++++++++++++++++++++++------
 4 files changed, 67 insertions(+), 41 deletions(-)

diff --git a/multidms/__init__.py b/multidms/__init__.py
index d4d6001..def7b2c 100644
--- a/multidms/__init__.py
+++ b/multidms/__init__.py
@@ -50,10 +50,10 @@ class works to compose, compile, and optimize the model parameters
 __version__ = "0.4.0"
 __url__ = "https://github.com/matsengrp/multidms"
 
-from polyclonal.alphabets import AAS  # noqa: F401
-from polyclonal.alphabets import AAS_WITHGAP  # noqa: F401
-from polyclonal.alphabets import AAS_WITHSTOP  # noqa: F401
-from polyclonal.alphabets import AAS_WITHSTOP_WITHGAP  # noqa: F401
+from binarymap.binarymap import AAS_NOSTOP as AAS  # noqa: F401
+from binarymap.binarymap import AAS_WITHGAP  # noqa: F401
+from binarymap.binarymap import AAS_WITHSTOP  # noqa: F401
+from binarymap.binarymap import AAS_WITHSTOP_WITHGAP  # noqa: F401
 
 from multidms.data import Data  # noqa: F401
 from multidms.model import Model  # noqa: F401
diff --git a/multidms/model.py b/multidms/model.py
index 19375d1..eb19bc6 100644
--- a/multidms/model.py
+++ b/multidms/model.py
@@ -26,11 +26,9 @@
 from jax.experimental import sparse
 from jaxopt import ProximalGradient
 
-# from jaxopt.linear_solve import solve_normal_cg
 import seaborn as sns
 from matplotlib import pyplot as plt
 
-
 jax.config.update("jax_enable_x64", True)
 
 
@@ -594,9 +592,9 @@ def get_mutations_df(
 
         for condition in self.data.conditions:
             single_mut_binary = self.data.single_mut_encodings[condition]
-            mutations_df[f"predicted_func_score_{condition}"] = (
-                self.phenotype_frombinary(single_mut_binary, condition=condition)
-            )
+            mutations_df[
+                f"predicted_func_score_{condition}"
+            ] = self.phenotype_frombinary(single_mut_binary, condition=condition)
 
             if phenotype_as_effect:
                 wt_func_score = self.wildtype_df.loc[condition, "predicted_func_score"]
@@ -800,6 +798,8 @@ def add_phenotypes_to_df(
                 raise ValueError(f"`df` already contains column {col}")
             ret[col] = onp.nan
 
+        # if the user has provided a name for the converted subs, then
+        # we need to add it to the dataframe
         if converted_substitutions_col is not None:
             ret[converted_substitutions_col] = ""
 
@@ -813,7 +813,6 @@ def add_phenotypes_to_df(
                     axis=1,
                 )
 
-            # TODO, why convert above if this may be provided by user?
             if converted_substitutions_col is not None:
                 ret.loc[condition_df.index, converted_substitutions_col] = variant_subs
 
@@ -852,9 +851,9 @@ def add_phenotypes_to_df(
             if phenotype_as_effect:
                 latent_predictions -= wildtype_df.loc[condition, "predicted_latent"]
             latent_predictions[nan_variant_indices] = onp.nan
-            ret.loc[condition_df.index.values, latent_phenotype_col] = (
-                latent_predictions
-            )
+            ret.loc[
+                condition_df.index.values, latent_phenotype_col
+            ] = latent_predictions
 
             # func_score predictions on binary variants, X
             phenotype_predictions = onp.array(
@@ -866,9 +865,9 @@ def add_phenotypes_to_df(
                     condition, "predicted_func_score"
                 ]
             phenotype_predictions[nan_variant_indices] = onp.nan
-            ret.loc[condition_df.index.values, observed_phenotype_col] = (
-                phenotype_predictions
-            )
+            ret.loc[
+                condition_df.index.values, observed_phenotype_col
+            ] = phenotype_predictions
 
         return ret
 
@@ -1002,8 +1001,7 @@ def fit(
             If True, use FISTA acceleration. Defaults to True.
         lock_params : dict
             Dictionary of parameters, and desired value to constrain
-            them at during optimization. By default, none of the parameters
-            reference-condition latent offset (TODO math? beta0[ref]) are locked.
+            them at during optimization. By default, no parameters are locked.
         admm_niter : int
             Number of iterations to perform during the ADMM optimization.
             Defaults to 50. Note that in the case of single-condition models,
@@ -1045,15 +1043,11 @@ def fit(
             if upper_bound_ge_scale < 0:
                 raise ValueError("upper_bound_theta_ge_scale must be non-negative")
 
-        # TODO I wonder if this should be rounded?
         if upper_bound_ge_scale == "infer":
             y = jnp.concatenate(list(self.data.training_data["y"].values()))
             y_range = y.max() - y.min()
             upper_bound_ge_scale = 2 * y_range
 
-        # box constraints for the reference beta0 parameter.
-        # lock_params[("beta0", self.data.reference)] = 0.0
-
         compiled_proximal = self._model_components["proximal"]
         compiled_objective = jax.jit(self._model_components["objective"])
 
@@ -1118,14 +1112,12 @@ def fit(
             jit=False,
         )
 
-        # GET DATA
+        # get training data
         scaled_training_data = (
             self._data.scaled_training_data["X"],
             self._data.scaled_training_data["y"],
         )
 
-        # TODO get validation data if it exists?
-
         self._state = solver.init_state(
             self._scaled_data_params,
             hyperparams_prox=hyperparams_prox,
@@ -1137,7 +1129,6 @@ def fit(
             index=range(0, maxiter + 1, convergence_trajectory_resolution)
         ).assign(loss=onp.nan, error=onp.nan)
 
-        # TODO should step be the index?
         convergence_trajectory.index.name = "step"
 
         # record initial loss and error
diff --git a/multidms/model_collection.py b/multidms/model_collection.py
index 0da8d1b..700433a 100644
--- a/multidms/model_collection.py
+++ b/multidms/model_collection.py
@@ -1,5 +1,9 @@
 """
-Contains the ModelCollection class, which takes a collection of models
+================
+model_collection
+================
+
+Contains the :class:`ModelCollection` class, which takes a collection of models
 and merges the results for comparison and visualization.
 """
 
@@ -556,7 +560,10 @@ def convergence_trajectory_df(
         query=None,
         id_vars=("dataset_name", "scale_coeff_lasso_shift"),
     ):
-        """TODO"""
+        """
+        Combine the converence trajectory dataframes of
+        all fits in the queried collection.
+        """
         queried_fits = (
             self.fit_models.query(query) if query is not None else self.fit_models
         )
@@ -577,7 +584,6 @@ def convergence_trajectory_df(
             ]
         )
 
-        # TODO make altair chart
         return convergence_trajectory_data
 
     def mut_param_heatmap(
@@ -726,7 +732,6 @@ def mut_param_heatmap(
         # melt conditions and stats cols, beta is already "tall"
         # note that we must rename conditions with "." in the
         # name to "_" to avoid altair errors
-        # TODO let's just make sure we don't have "." in the condition names
         if mut_param == "beta":
             muts_df_tall = muts_df.assign(condition=self.reference.replace(".", "_"))
         else:
@@ -883,12 +888,11 @@ def mut_type(mut):
             column=alt.Column("condition", title="Experiment"),
         )
 
-    # TODO fix height scalar
     def shift_sparsity(
         self,
         x="scale_coeff_lasso_shift",
         width_scalar=100,
-        height_scalar=10,
+        height_scalar=100,
         return_data=False,
         **kwargs,
     ):
@@ -991,7 +995,7 @@ def mut_type(mut):
     def mut_param_dataset_correlation(
         self,
         x="scale_coeff_lasso_shift",
-        width_scalar=150,
+        width_scalar=200,
         height=200,
         return_data=False,
         r=2,
diff --git a/tests/test_data.py b/tests/test_data.py
index f68e2b9..143a37f 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -1,10 +1,5 @@
 """Tests for the Data class and its methods."""
 
-# import traceback
-# import warnings
-# import sys
-# import os
-
 import pytest
 import multidms
 import numpy as np
@@ -15,7 +10,6 @@
 
 import multidms.utils
 
-# TODO test non numeric sites?
 TEST_FUNC_SCORES = pd.read_csv(
     StringIO(
         """
@@ -34,8 +28,6 @@
     )
 )
 
-# TODO figure out correct way to setup the data
-# using pytest fixtures.
 data = multidms.Data(
     TEST_FUNC_SCORES,
     alphabet=multidms.AAS_WITHSTOP,
@@ -652,6 +644,45 @@ def test_fit_models():
     assert list(tall_combined.index.names) == ["scale_coeff_lasso_shift"]
 
 
+def test_ModelCollection_mut_param_dataset_correlation():
+    """
+    Test that the correlation between the mutational
+    parameter estimates across conditions is correct.
+    by correlating two deterministic model fits from identical
+    datasets, meaning they should have a correlation of 1.0.
+    """
+    data_rep1 = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+        name="rep1",
+    )
+
+    data_rep2 = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+        name="rep2",
+    )
+
+    params = {
+        "dataset": [data_rep1, data_rep2],
+        "maxiter": [1],
+        "scale_coeff_lasso_shift": [0.0],
+    }
+
+    _, _, fit_models_df = multidms.model_collection.fit_models(
+        params,
+        n_threads=-1,
+    )
+    mc = multidms.model_collection.ModelCollection(fit_models_df)
+    chart, data = mc.mut_param_dataset_correlation(return_data=True)
+
+    assert np.all(data["correlation"] == 1.0)
+
+
 def test_ModelCollection_charts():
     """
     Test fitting two different models in

From 87622c1bd34f3b759a577cadce998874d93c9c19 Mon Sep 17 00:00:00 2001
From: jgallowa07 <jaredgalloway07@gmail.com>
Date: Tue, 11 Jun 2024 17:02:13 -0700
Subject: [PATCH 6/6] added plotting unit tests and ge scale ridge penalty

---
 multidms/biophysical.py               |   19 +-
 multidms/model.py                     |  172 +--
 notebooks/fit_delta_BA1_example.ipynb | 1781 ++++++++++++++-----------
 pyproject.toml                        |    7 +-
 tests/test_data.py                    |   45 +-
 5 files changed, 1099 insertions(+), 925 deletions(-)

diff --git a/multidms/biophysical.py b/multidms/biophysical.py
index 35d852c..d322502 100644
--- a/multidms/biophysical.py
+++ b/multidms/biophysical.py
@@ -278,7 +278,7 @@ def softplus_activation(d_params, act, lower_bound=-3.5, hinge_scale=0.1, **kwar
         hinge_scale
         # GAMMA
         # * (jnp.logaddexp(0, (act - (lower_bound + d_params["gamma_d"])) / hinge_scale))
-        * (jnp.logaddexp(0, act - lower_bound / hinge_scale))
+        * (jnp.logaddexp(0, (act - lower_bound) / hinge_scale))
         + lower_bound
         # GAMMA
         # + d_params["gamma_d"]
@@ -413,6 +413,8 @@ def smooth_objective(
     params,
     data,
     scale_coeff_ridge_beta=0.0,
+    scale_coeff_ridge_ge_scale=0.0,
+    scale_coeff_ridge_ge_bias=0.0,
     huber_scale=1,
     **kwargs,
 ):
@@ -432,6 +434,10 @@ def smooth_objective(
         Scale parameter for Huber loss function
     scale_coeff_ridge_beta : float
         Ridge penalty coefficient for shift parameters
+    scale_coeff_ridge_ge_scale : float
+        Ridge penalty coefficient for global epistasis scale parameter
+    scale_coeff_ridge_ge_bias : float
+        Ridge penalty coefficient for global epistasis bias parameter
     kwargs : dict
         Additional keyword arguments to pass to the biophysical model function
 
@@ -474,4 +480,13 @@ def smooth_objective(
 
     huber_cost /= len(X)
 
-    return huber_cost + beta_ridge_penalty
+    ge_scale_ridge_penalty = (
+        scale_coeff_ridge_ge_scale * (params["theta"]["ge_scale"] ** 2).sum()
+    )
+    ge_bias_ridge_penalty = (
+        scale_coeff_ridge_ge_bias * (params["theta"]["ge_bias"] ** 2).sum()
+    )
+
+    return (
+        huber_cost + beta_ridge_penalty + ge_scale_ridge_penalty + ge_bias_ridge_penalty
+    )
diff --git a/multidms/model.py b/multidms/model.py
index eb19bc6..bc634d0 100644
--- a/multidms/model.py
+++ b/multidms/model.py
@@ -8,7 +8,7 @@
 
 import math
 import warnings
-from functools import lru_cache, partial, reduce, cached_property
+from functools import lru_cache, partial, cached_property
 from frozendict import frozendict
 
 from multidms import Data
@@ -267,7 +267,10 @@ def __init__(
             )
 
         elif epistatic_model == multidms.biophysical.identity_activation:
-            self._scaled_data_params["theta"] = dict(ghost_param=jnp.zeros(shape=(1,)))
+            self._scaled_data_params["theta"] = dict(
+                ge_scale=jnp.zeros(shape=(1,)),
+                ge_bias=jnp.zeros(shape=(1,)),
+            )
 
         elif epistatic_model == multidms.biophysical.nn_global_epistasis:
             if n_hidden_units is None:
@@ -484,7 +487,7 @@ def get_variants_df(self, phenotype_as_effect=True):
             based on the current state of the model.
         """
         # this is what well update and return
-        variants_df = self._data.variants_df.copy()
+        variants_df = self.data.variants_df.copy()
 
         # initialize new columns
         for pheno in ["latent", "func_score"]:
@@ -871,20 +874,28 @@ def add_phenotypes_to_df(
 
         return ret
 
-    def mutation_site_summary_df(self, agg_func=onp.mean, times_seen_threshold=0):
+    def mutation_site_summary_df(self, agg_func="mean", **kwargs):
         """
         Get all single mutational attributes from self._data
         updated with all model specific attributes, then aggregate
-        all numerical columns by "sites" using
-        ``agg`` function. The mean values are given by default.
+        all numerical columns by "sites"
+
+        Parameters
+        ----------
+        agg_func : str
+            Aggregation function to use on the numerical columns.
+            Defaults to "mean".
+        **kwargs
+            Additional keyword arguments to pass to get_mutations_df.
+
+        Returns
+        -------
+        pandas.DataFrame
+            A summary of the mutation attributes aggregated by site.
         """
         numerics = ["int16", "int32", "int64", "float16", "float32", "float64"]
-        mut_df = self.mutations_df.select_dtypes(include=numerics)
-        times_seen_cols = [c for c in mut_df.columns if "times" in c]
-        for c in times_seen_cols:
-            mut_df = mut_df[mut_df[c] >= times_seen_threshold]
-
-        return mut_df.groupby("sites").aggregate(agg_func)
+        mut_df = self.get_mutations_df(**kwargs).select_dtypes(include=numerics)
+        return mut_df.groupby("sites").agg(agg_func)
 
     def get_condition_params(self, condition=None):
         """Get the relent parameters for a model prediction"""
@@ -1193,7 +1204,7 @@ def plot_pred_accuracy(
         between model predicted functional score of all
         variants in the training with ground truth measurements.
         """
-        df = self.variants_df
+        df = self.get_variants_df(phenotype_as_effect=False)
 
         df = df.assign(
             is_wt=df["aa_substitutions"].apply(
@@ -1204,7 +1215,9 @@ def plot_pred_accuracy(
         if ax is None:
             fig, ax = plt.subplots(figsize=[3, 3])
 
-        func_score = "corrected_func_score" if self.gamma_corrected else "func_score"
+        # GAMMA
+        # func_score = "corrected_func_score" if self.gamma_corrected else "func_score"
+        func_score = "func_score"
         sns.scatterplot(
             data=df.sample(frac=1),
             x="predicted_func_score",
@@ -1240,13 +1253,14 @@ def plot_pred_accuracy(
                     c=self._data.condition_colors[c],
                 )
                 start_y += -0.05
-        ax.set_ylabel("functional score")
+        # ax.set_ylabel("functional score")
         ax.set_xlabel("predicted functional score")
 
         ax.axhline(0, color="k", ls="--", lw=2)
         ax.axvline(0, color="k", ls="--", lw=2)
 
-        ax.set_ylabel("functional score + gamma$_{d}$")
+        # ax.set_ylabel("functional score + gamma$_{d}$")
+        ax.set_ylabel("measured functional score")
         plt.tight_layout()
         if saveas:
             fig.savefig(saveas)
@@ -1262,7 +1276,7 @@ def plot_epistasis(
         gamma corrected ground truth measurements
         of all samples in the training set.
         """
-        df = self.variants_df
+        df = self.get_variants_df(phenotype_as_effect=False)
 
         df = df.assign(
             is_wt=df["aa_substitutions"].apply(
@@ -1273,7 +1287,9 @@ def plot_epistasis(
         if ax is None:
             fig, ax = plt.subplots(figsize=[3, 3])
 
-        func_score = "corrected_func_score" if self.gamma_corrected else "func_score"
+        # GAMMA
+        # func_score = "corrected_func_score" if self.gamma_corrected else "func_score"
+        func_score = "func_score"
         sns.scatterplot(
             data=df.sample(frac=sample),
             x="predicted_latent",
@@ -1305,7 +1321,7 @@ def plot_epistasis(
         ax.axhline(0, color="k", ls="--", lw=2)
         ax.set_xlim([xlb, xub])
         ax.set_ylim([ylb, yub])
-        ax.set_ylabel("functional score")
+        ax.set_ylabel("measured functional score")
         ax.set_xlabel("predicted latent phenotype")
         plt.tight_layout()
 
@@ -1316,10 +1332,10 @@ def plot_epistasis(
         return ax
 
     def plot_param_hist(
-        self, param, show=True, saveas=False, times_seen_threshold=3, ax=None, **kwargs
+        self, param, show=True, saveas=False, times_seen_threshold=0, ax=None, **kwargs
     ):
         """Plot the histogram of a parameter."""
-        mut_effects_df = self.mutations_df
+        mut_effects_df = self.get_mutations_df()
 
         if ax is None:
             fig, ax = plt.subplots(figsize=[3, 3])
@@ -1372,18 +1388,18 @@ def plot_param_hist(
         return ax
 
     def plot_param_heatmap(
-        self, param, show=True, saveas=False, times_seen_threshold=3, ax=None, **kwargs
+        self, param, show=True, saveas=False, times_seen_threshold=0, ax=None, **kwargs
     ):
         """
         Plot the heatmap of a parameters
         associated with specific sites and substitutions.
         """
-        if not param.startswith("beta") and not param.startswith("S"):
+        if not param.startswith("beta") and not param.startswith("shift"):
             raise ValueError(
                 "Parameter to visualize must be an existing beta, or shift parameter"
             )
 
-        mut_effects_df = self.mutations_df
+        mut_effects_df = self.get_mutations_df()
 
         if ax is None:
             fig, ax = plt.subplots(figsize=[12, 3])
@@ -1419,8 +1435,8 @@ def plot_shifts_by_site(
         condition,
         show=True,
         saveas=False,
-        times_seen_threshold=3,
-        agg_func=onp.mean,
+        times_seen_threshold=0,
+        agg_func="mean",
         ax=None,
         **kwargs,
     ):
@@ -1470,65 +1486,6 @@ def plot_shifts_by_site(
             plt.show()
         return ax
 
-    def plot_fit_param_comp_scatter(
-        self,
-        other,
-        self_param="beta",
-        other_param="beta",
-        figsize=[5, 4],
-        saveas=None,
-        show=True,
-        site_agg_func=None,
-    ):
-        """Plot a scatter plot of the parameter values of two models"""
-        if not site_agg_func:
-            dfs = [self.mutations_df, other.mutations_df]
-        else:
-            dfs = [
-                self.mutation_site_summary_df(agg=site_agg_func).reset_index(),
-                other.mutation_site_summary_df(agg=site_agg_func).reset_index(),
-            ]
-
-        combine_on = "mutation" if site_agg_func is None else "sites"
-        comb_mut_effects = reduce(
-            lambda l, r: pd.merge(l, r, how="inner", on=combine_on),  # noqa: E741
-            dfs,
-        )
-        comb_mut_effects["is_stop"] = [
-            True if "*" in s else False for s in comb_mut_effects[combine_on]
-        ]
-
-        same = self_param == other_param
-        x = f"{self_param}_x" if same else self_param
-        y = f"{other_param}_y" if same else other_param
-
-        fig, ax = plt.subplots(figsize=figsize)
-        r = pearsonr(comb_mut_effects[x], comb_mut_effects[y])[0]
-        sns.scatterplot(
-            data=comb_mut_effects,
-            x=x,
-            y=y,
-            hue="is_stop",
-            alpha=0.6,
-            palette="deep",
-            ax=ax,
-        )
-
-        xlb, xub = [-1, 1] + onp.quantile(comb_mut_effects[x], [0.00, 1.0])
-        ylb, yub = [-1, 1] + onp.quantile(comb_mut_effects[y], [0.00, 1.0])
-        min1 = min(xlb, ylb)
-        max1 = max(xub, yub)
-        ax.plot([min1, max1], [min1, max1], ls="--", c="k")
-        ax.annotate(f"$r = {r:.2f}$", (0.7, 0.1), xycoords="axes fraction", fontsize=12)
-        plt.tight_layout()
-
-        if saveas:
-            fig.saveas(saveas)
-        if show:
-            plt.show()
-
-        return fig, ax
-
     def mut_param_heatmap(
         self,
         mut_param="shift",
@@ -1548,7 +1505,13 @@ def mut_param_heatmap(
         muts_df = self.get_mutations_df(
             times_seen_threshold=times_seen_threshold,
             phenotype_as_effect=phenotype_as_effect,
-            return_split=False,
+            return_split=True,
+        ).rename(
+            columns={
+                "wts": "wildtype",
+                "muts": "mutant",
+                "sites": "site",
+            }
         )
 
         # drop columns which are not the mutational parameter of interest
@@ -1558,9 +1521,9 @@ def mut_param_heatmap(
         muts_df.drop(drop_cols, axis=1, inplace=True)
 
         # add in the mutation annotations
-        muts_df["wildtype"], muts_df["site"], muts_df["mutant"] = zip(
-            *muts_df.reset_index()["mutation"].map(self.data.parse_mut)
-        )
+        # muts_df["wildtype"], muts_df["site"], muts_df["mutant"] = zip(
+        #     *muts_df.reset_index()["mutation"].map(self.data.parse_mut)
+        # )
 
         # no longer need mutation annotation
         muts_df.reset_index(drop=True, inplace=True)
@@ -1597,22 +1560,21 @@ def mut_param_heatmap(
         # melt conditions and stats cols, beta is already "tall"
         # note that we must rename conditions with "." in the
         # name to "_" to avoid altair errors
-        if mut_param == "beta":
-            muts_df_tall = muts_df.assign(condition=reference.replace(".", "_"))
-        else:
-            muts_df_tall = muts_df.melt(
-                id_vars=["wildtype", "site", "mutant"] + addtl_tooltip_stats,
-                value_vars=[c for c in muts_df.columns if c.startswith(mut_param)],
-                var_name="condition",
-                value_name=mut_param,
-            )
-            muts_df_tall.condition.replace(
-                {
-                    f"{mut_param}_{condition}": condition.replace(".", "_")
-                    for condition in conditions
-                },
-                inplace=True,
-            )
+        # if mut_param == f"beta_{reference}":
+        # muts_df_tall = muts_df.assign(condition=reference.replace(".", "_"))
+        # else:
+        muts_df_tall = muts_df.melt(
+            id_vars=["wildtype", "site", "mutant"] + addtl_tooltip_stats,
+            value_vars=[c for c in muts_df.columns if c.startswith(mut_param)],
+            var_name="condition",
+            value_name=mut_param,
+        )
+        muts_df_tall["condition"] = muts_df_tall.condition.replace(
+            {
+                f"{mut_param}_{condition}": condition.replace(".", "_")
+                for condition in conditions
+            },
+        )
 
         # add in condition colors, rename for altair
         condition_colors = {
diff --git a/notebooks/fit_delta_BA1_example.ipynb b/notebooks/fit_delta_BA1_example.ipynb
index f10e88b..ffa6874 100644
--- a/notebooks/fit_delta_BA1_example.ipynb
+++ b/notebooks/fit_delta_BA1_example.ipynb
@@ -37,13 +37,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "7ca0b6ca",
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "warnings.simplefilter('ignore')"
+    "# %matplotlib inline\n",
+    "# warnings.simplefilter('ignore')"
    ]
   },
   {
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "edbdcb12",
    "metadata": {},
    "outputs": [
@@ -209,7 +209,7 @@
        "[10000 rows x 3 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -230,7 +230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "bceb25a0",
    "metadata": {},
    "outputs": [
@@ -252,7 +252,7 @@
        "Name: count, Length: 7637, dtype: int64"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -279,7 +279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "8bfc72bd",
    "metadata": {
     "scrolled": true
@@ -295,7 +295,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a043385c1bc542259e87ec632d034aa7",
+       "model_id": "7b86638463a349bc8f9ebfa7209745ff",
        "version_major": 2,
        "version_minor": 0
       },
@@ -316,7 +316,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4dfcd1c11e374482aaacfa9fa8b5116e",
+       "model_id": "dc41e597b3204d6691f46fa1f1cb33e0",
        "version_major": 2,
        "version_minor": 0
       },
@@ -338,7 +338,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "098402973c2d4a6195b4a108f0051d70",
+       "model_id": "b39263b1a2fb4daea8b9a02ec7e97937",
        "version_major": 2,
        "version_minor": 0
       },
@@ -349,6 +349,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -360,7 +368,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ff86a00c18af4ef9938f0fe50b42b677",
+       "model_id": "c26d9611fd4d419791efb2be83191afe",
        "version_major": 2,
        "version_minor": 0
       },
@@ -371,6 +379,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -384,7 +400,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "68d98557ad1e4c6c83af0f7defe794db",
+       "model_id": "51c42f505186418da5a708523328d32c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -394,6 +410,14 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
     }
    ],
    "source": [
@@ -427,7 +451,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "dd493152",
    "metadata": {},
    "outputs": [
@@ -495,7 +519,7 @@
        "5       L             L"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -515,7 +539,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "861db643",
    "metadata": {},
    "outputs": [
@@ -583,7 +607,7 @@
        "339       G             D"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -603,7 +627,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "c4e343b8",
    "metadata": {},
    "outputs": [
@@ -613,7 +637,7 @@
        "('M1I', 'M1-', 'F2L', 'F2Y', 'V3F')"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -633,7 +657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "10448926",
    "metadata": {},
    "outputs": [
@@ -673,8 +697,8 @@
        "      <td>M</td>\n",
        "      <td>1</td>\n",
        "      <td>I</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -682,8 +706,8 @@
        "      <td>M</td>\n",
        "      <td>1</td>\n",
        "      <td>-</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -691,8 +715,8 @@
        "      <td>F</td>\n",
        "      <td>2</td>\n",
        "      <td>L</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -700,8 +724,8 @@
        "      <td>F</td>\n",
        "      <td>2</td>\n",
        "      <td>Y</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -709,8 +733,8 @@
        "      <td>V</td>\n",
        "      <td>3</td>\n",
        "      <td>F</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -718,14 +742,14 @@
       ],
       "text/plain": [
        "  mutation wts  sites muts  times_seen_Delta-2  times_seen_Omicron_BA1-2\n",
-       "0      M1I   M      1    I                 0.0                       1.0\n",
-       "1      M1-   M      1    -                 1.0                       0.0\n",
-       "2      F2L   F      2    L                 1.0                       1.0\n",
-       "3      F2Y   F      2    Y                 1.0                       0.0\n",
-       "4      V3F   V      3    F                 1.0                       4.0"
+       "0      M1I   M      1    I                   0                         1\n",
+       "1      M1-   M      1    -                   1                         0\n",
+       "2      F2L   F      2    L                   1                         1\n",
+       "3      F2Y   F      2    Y                   1                         0\n",
+       "4      V3F   V      3    F                   1                         4"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -745,7 +769,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "c4e9d392",
    "metadata": {},
    "outputs": [
@@ -831,7 +855,7 @@
        "4   Delta-2           A1020C       1     0.50800         A1020C"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -851,7 +875,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "652d1683",
    "metadata": {},
    "outputs": [
@@ -914,7 +938,7 @@
        "6831  R19T A67V T95I G156E G339D S373P N440K G446S G...  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -967,7 +991,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "25e8e80a",
    "metadata": {},
    "outputs": [],
@@ -975,6 +999,28 @@
     "model = multidms.Model(data)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "26bc7602",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model\n",
+      "Name: unnamed\n",
+      "Data: unnamed\n",
+      "Converged: False\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(model)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "42a25703",
@@ -986,11 +1032,20 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "f24570e7",
+   "id": "946bf04d",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/Projects/multidms/multidms/model.py:1181: RuntimeWarning: Model training error did not reach the tolerance threshold. Final error: 0.021850742189881294, tolerance: 0.0001\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
    "source": [
-    "model.fit(maxiter=15000)"
+    "model.fit(maxiter=5000)"
    ]
   },
   {
@@ -998,14 +1053,78 @@
    "id": "542e01a0",
    "metadata": {},
    "source": [
-    "This method uses the [jaxopt.ProximalGradient](https://jaxopt.github.io/stable/_autosummary/jaxopt.ProximalGradient.html) optimizer to fit the parameters (in place) to the data. Note that later we'll introduce the `model_collection` module interface for a more streamlined approach to creating and fitting one or more `Model` objects -- but the attributes and methods of individual `Model` objects are still be quite useful. \n",
-    "\n",
-    "For example, the `Model` object allows provides many of the same properties, like mutations and variants dataframes, but add additional features relevant to the parameters of this model. `Model.get_mutations_df` returns the associated data object's mutations_df as seen above, along with the $\\beta$ and $S_{m,h}$ parameter's associated with each mutation. "
+    "This method uses the [jaxopt.ProximalGradient](https://jaxopt.github.io/stable/_autosummary/jaxopt.ProximalGradient.html) optimizer to fit the parameters (in place) to the data. Note that later we'll introduce the `model_collection` module interface for a more streamlined approach to creating and fitting one or more `Model` objects -- but the attributes and methods of individual `Model` objects are still be quite useful.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d85063b4",
+   "metadata": {},
+   "source": [
+    "Note the warning about convergence. The default convergence threshold is set to $10^{-4}$ which can sometimes take more playing with hyperparameters and more iterations to acheive. Toi suppress this warning, simply pass `warn_unconverged=True`. For our spike analysis manuscript, we needed to regularize model parameters and train the models for close to 30K iterations before convergence at this tolerence was acheived."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "596d97c9",
+   "metadata": {},
+   "source": [
+    "`Model.convergence_trajectory_df` gives the models error metric (as reported by [jaxopt state object](https://jaxopt.github.io/stable/unconstrained.html#unpacking-results) -- and is useful to see how the model is changing through the fitting process) as well as the loss on the training data."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 15,
+   "id": "56be955f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "fig, ax = plt.subplots(2, 1, figsize=(10, 5))\n",
+    "for i, m in enumerate([\"loss\", \"error\"]):\n",
+    "    sns.lineplot(\n",
+    "        model.convergence_trajectory_df,\n",
+    "        x=\"step\",\n",
+    "        y=m,\n",
+    "        ax=ax[i],\n",
+    "        # yscale=\"log\",\n",
+    "    )\n",
+    "    ax[i].set_yscale(\"log\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "512fa68a",
+   "metadata": {},
+   "source": [
+    "Here, we can see the model did not converge, but the model loss seems to be roughly unchanged at this point and is good enough for the purposes of this example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d33aeb10",
+   "metadata": {},
+   "source": [
+    "\n",
+    "The `Model` object allows provides many of the same properties, like mutations and variants dataframes, but add additional features relevant to the parameters of this model. `Model.get_mutations_df` returns the associated data object's mutations_df as seen above, along with the $\\beta$ and $S_{m,h}$ parameter's associated with each mutation. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
    "id": "fa1f0e0e-a060-4393-9bf0-27f3bdd4283c",
    "metadata": {},
    "outputs": [
@@ -1013,22 +1132,21 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Help on function get_mutations_df in module multidms.model:\n",
+      "Help on _lru_cache_wrapper in module multidms.model:\n",
       "\n",
-      "get_mutations_df(self, phenotype_as_effect=True, times_seen_threshold=0, return_split=True)\n",
-      "    Mutation attributes and phenotypic effects.\n",
+      "get_mutations_df(self, times_seen_threshold=0, phenotype_as_effect=True, return_split=True)\n",
+      "    Mutation attributes and phenotypic effects\n",
+      "    based on the current state of the model.\n",
       "    \n",
       "    Parameters\n",
       "    ----------\n",
-      "    phenotype_as_effect : bool, optional\n",
-      "        if True, phenotypes (both latent, and func_score)\n",
-      "        are calculated as the _difference_ between predicted\n",
-      "        phenotype of a given variant and the respective experimental\n",
-      "        wildtype prediction. Otherwise, report the unmodified\n",
-      "        model prediction.\n",
       "    times_seen_threshold : int, optional\n",
       "        Only report mutations that have been seen at least\n",
       "        this many times in each condition. Defaults to 0.\n",
+      "    phenotype_as_effect : bool, optional\n",
+      "        if True, phenotypes are reported as the difference\n",
+      "        from the conditional wildtype prediction. Otherwise,\n",
+      "        report the unmodified model prediction.\n",
       "    return_split : bool, optional\n",
       "        If True, return the split mutations as separate columns:\n",
       "        'wts', 'sites', and 'muts'.\n",
@@ -1040,9 +1158,13 @@
       "        A copy of the mutations data, `self.data.mutations_df`,\n",
       "        with the mutations column set as the index, and columns\n",
       "        with the mutational attributes (e.g. betas, shifts) and\n",
-      "        conditional phenotypes (e.g. func_scores) added.\n",
-      "        Phenotypes are predicted\n",
-      "        based on the current state of the model.\n",
+      "        conditional functional score effect (e.g. ) added.\n",
+      "    \n",
+      "        The columns are ordered as follows:\n",
+      "        - beta_a, beta_b, ... : the latent effect of the mutation\n",
+      "        - shift_b, shift_c, ... : the conditional shift of the mutation\n",
+      "        - predicted_func_score_a, predicted_func_score_b, ... : the\n",
+      "            predicted functional score of the mutation.\n",
       "\n"
      ]
     }
@@ -1053,7 +1175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "id": "e72a9a79",
    "metadata": {},
    "outputs": [
@@ -1078,15 +1200,16 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>beta</th>\n",
-       "      <th>shift_Omicron_BA1-2</th>\n",
-       "      <th>predicted_func_score_Delta-2</th>\n",
-       "      <th>predicted_func_score_Omicron_BA1-2</th>\n",
-       "      <th>times_seen_Delta-2</th>\n",
-       "      <th>times_seen_Omicron_BA1-2</th>\n",
        "      <th>wts</th>\n",
        "      <th>sites</th>\n",
        "      <th>muts</th>\n",
+       "      <th>times_seen_Delta-2</th>\n",
+       "      <th>times_seen_Omicron_BA1-2</th>\n",
+       "      <th>beta_Delta-2</th>\n",
+       "      <th>beta_Omicron_BA1-2</th>\n",
+       "      <th>shift_Omicron_BA1-2</th>\n",
+       "      <th>predicted_func_score_Delta-2</th>\n",
+       "      <th>predicted_func_score_Omicron_BA1-2</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mutation</th>\n",
@@ -1099,100 +1222,106 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>M1I</th>\n",
-       "      <td>-4.897398</td>\n",
-       "      <td>-0.009559</td>\n",
-       "      <td>-3.227453</td>\n",
-       "      <td>-3.229870</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
        "      <td>M</td>\n",
        "      <td>1</td>\n",
        "      <td>I</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.670376</td>\n",
+       "      <td>-0.670376</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-1.924031</td>\n",
+       "      <td>-2.092655</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M1-</th>\n",
-       "      <td>-15.076238</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-3.498683</td>\n",
-       "      <td>-3.498683</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>M</td>\n",
        "      <td>1</td>\n",
        "      <td>-</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.210833</td>\n",
+       "      <td>-1.217279</td>\n",
+       "      <td>-0.006446</td>\n",
+       "      <td>-3.518891</td>\n",
+       "      <td>-3.696349</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>F2L</th>\n",
-       "      <td>6.499686</td>\n",
-       "      <td>-0.002973</td>\n",
-       "      <td>0.760441</td>\n",
-       "      <td>0.760439</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
        "      <td>F</td>\n",
        "      <td>2</td>\n",
        "      <td>L</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.376333</td>\n",
+       "      <td>0.376333</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.886560</td>\n",
+       "      <td>0.760452</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>F2Y</th>\n",
-       "      <td>7.830030</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.760958</td>\n",
-       "      <td>0.760958</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>F</td>\n",
        "      <td>2</td>\n",
        "      <td>Y</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.624053</td>\n",
+       "      <td>0.624053</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.397594</td>\n",
+       "      <td>1.287470</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>V3F</th>\n",
-       "      <td>0.289656</td>\n",
-       "      <td>-1.952068</td>\n",
-       "      <td>0.437663</td>\n",
-       "      <td>-0.800541</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>4.0</td>\n",
        "      <td>V</td>\n",
        "      <td>3</td>\n",
        "      <td>F</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.061322</td>\n",
+       "      <td>-0.366089</td>\n",
+       "      <td>-0.427411</td>\n",
+       "      <td>0.137714</td>\n",
+       "      <td>-1.191158</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "               beta  shift_Omicron_BA1-2  predicted_func_score_Delta-2  \\\n",
+       "         wts  sites muts  times_seen_Delta-2  times_seen_Omicron_BA1-2  \\\n",
        "mutation                                                                 \n",
-       "M1I       -4.897398            -0.009559                     -3.227453   \n",
-       "M1-      -15.076238             0.000000                     -3.498683   \n",
-       "F2L        6.499686            -0.002973                      0.760441   \n",
-       "F2Y        7.830030             0.000000                      0.760958   \n",
-       "V3F        0.289656            -1.952068                      0.437663   \n",
-       "\n",
-       "          predicted_func_score_Omicron_BA1-2  times_seen_Delta-2  \\\n",
-       "mutation                                                           \n",
-       "M1I                                -3.229870                 0.0   \n",
-       "M1-                                -3.498683                 1.0   \n",
-       "F2L                                 0.760439                 1.0   \n",
-       "F2Y                                 0.760958                 1.0   \n",
-       "V3F                                -0.800541                 1.0   \n",
-       "\n",
-       "          times_seen_Omicron_BA1-2 wts  sites muts  \n",
-       "mutation                                            \n",
-       "M1I                            1.0   M      1    I  \n",
-       "M1-                            0.0   M      1    -  \n",
-       "F2L                            1.0   F      2    L  \n",
-       "F2Y                            0.0   F      2    Y  \n",
-       "V3F                            4.0   V      3    F  "
+       "M1I        M      1    I                   0                         1   \n",
+       "M1-        M      1    -                   1                         0   \n",
+       "F2L        F      2    L                   1                         1   \n",
+       "F2Y        F      2    Y                   1                         0   \n",
+       "V3F        V      3    F                   1                         4   \n",
+       "\n",
+       "          beta_Delta-2  beta_Omicron_BA1-2  shift_Omicron_BA1-2  \\\n",
+       "mutation                                                          \n",
+       "M1I          -0.670376           -0.670376             0.000000   \n",
+       "M1-          -1.210833           -1.217279            -0.006446   \n",
+       "F2L           0.376333            0.376333             0.000000   \n",
+       "F2Y           0.624053            0.624053             0.000000   \n",
+       "V3F           0.061322           -0.366089            -0.427411   \n",
+       "\n",
+       "          predicted_func_score_Delta-2  predicted_func_score_Omicron_BA1-2  \n",
+       "mutation                                                                    \n",
+       "M1I                          -1.924031                           -2.092655  \n",
+       "M1-                          -3.518891                           -3.696349  \n",
+       "F2L                           0.886560                            0.760452  \n",
+       "F2Y                           1.397594                            1.287470  \n",
+       "V3F                           0.137714                           -1.191158  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1212,7 +1341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "id": "996c3954-3429-4f9e-92f8-927bbc211f4f",
    "metadata": {},
    "outputs": [
@@ -1220,7 +1349,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Help on function get_variants_df in module multidms.model:\n",
+      "Help on _lru_cache_wrapper in module multidms.model:\n",
       "\n",
       "get_variants_df(self, phenotype_as_effect=True)\n",
       "    Training data with model predictions for latent,\n",
@@ -1251,7 +1380,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "id": "c9101e39",
    "metadata": {},
    "outputs": [
@@ -1293,8 +1422,8 @@
        "      <td>599</td>\n",
        "      <td>-0.15963</td>\n",
        "      <td></td>\n",
-       "      <td>2.209213</td>\n",
-       "      <td>0.339735</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-3.712308e-16</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -1303,8 +1432,8 @@
        "      <td>1</td>\n",
        "      <td>-1.29760</td>\n",
        "      <td>A1016S</td>\n",
-       "      <td>0.090485</td>\n",
-       "      <td>-1.272478</td>\n",
+       "      <td>-0.456546</td>\n",
+       "      <td>-1.270584e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1313,8 +1442,8 @@
        "      <td>1</td>\n",
        "      <td>-0.88240</td>\n",
        "      <td>A1016T</td>\n",
-       "      <td>0.598338</td>\n",
-       "      <td>-0.749924</td>\n",
+       "      <td>-0.213680</td>\n",
+       "      <td>-5.759269e-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -1323,8 +1452,8 @@
        "      <td>1</td>\n",
        "      <td>-0.03900</td>\n",
        "      <td>A1016T K1191L</td>\n",
-       "      <td>1.250767</td>\n",
-       "      <td>-0.186957</td>\n",
+       "      <td>-0.126598</td>\n",
+       "      <td>-3.365835e-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -1333,8 +1462,8 @@
        "      <td>1</td>\n",
        "      <td>0.50800</td>\n",
        "      <td>A1020C</td>\n",
-       "      <td>3.341482</td>\n",
-       "      <td>0.615564</td>\n",
+       "      <td>0.261282</td>\n",
+       "      <td>6.454972e-01</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1349,20 +1478,41 @@
        "4   Delta-2           A1020C       1     0.50800         A1020C   \n",
        "\n",
        "   predicted_latent  predicted_func_score  \n",
-       "0          2.209213              0.339735  \n",
-       "1          0.090485             -1.272478  \n",
-       "2          0.598338             -0.749924  \n",
-       "3          1.250767             -0.186957  \n",
-       "4          3.341482              0.615564  "
+       "0          0.000000         -3.712308e-16  \n",
+       "1         -0.456546         -1.270584e+00  \n",
+       "2         -0.213680         -5.759269e-01  \n",
+       "3         -0.126598         -3.365835e-01  \n",
+       "4          0.261282          6.454972e-01  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "model.get_variants_df(phenotype_as_effect=False).head()"
+    "model.get_variants_df().head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "796d537a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ProxGradState(iter_num=Array(5000, dtype=int64, weak_type=True), stepsize=Array(0.5, dtype=float64), error=Array(0.02185074, dtype=float64), aux=None, velocity={'beta': {'Delta-2': Array([-0.67035874, -1.21096323,  0.37641966, ..., -0.63904707,\n",
+      "        0.09749028,  0.60156794], dtype=float64), 'Omicron_BA1-2': Array([-0.67035874, -1.21740883,  0.37641966, ...,  0.32806356,\n",
+      "       -0.56374356,  0.60156794], dtype=float64)}, 'beta0': {'Delta-2': Array([0.75801103], dtype=float64), 'Omicron_BA1-2': Array([0.70161721], dtype=float64)}, 'shift': {'Delta-2': Array([0., 0., 0., ..., 0., 0., 0.], dtype=float64), 'Omicron_BA1-2': Array([ 0.        , -0.00644561,  0.        , ...,  0.96711063,\n",
+      "       -0.66123384,  0.        ], dtype=float64)}, 'theta': {'ge_bias': Array([-8.17273411], dtype=float64), 'ge_scale': Array([11.973], dtype=float64)}}, t=Array(2502.95282886, dtype=float64, weak_type=True))\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(model.state)"
    ]
   },
   {
@@ -1397,13 +1547,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "id": "fc8f6c11",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x400 with 2 Axes>"
       ]
@@ -1421,95 +1571,242 @@
     "plt.show()"
    ]
   },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "0345a4c6",
-   "metadata": {},
-   "source": [
-    "We can also take a quick look at the distribution of any parameter set in the model. Below we'll take a look at the distribution of shift parameters for the non reference BA1 condition. The distribution, by default, splits the shifts associated with stop codon mutations as a sanity check for the model fit. We expect stop codons to be equally deleterious no matter which condition they occur in, and thus, they should primarily be zero."
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "id": "8228b5ff",
+   "execution_count": 22,
+   "id": "c0fcec26",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
+       "{'shift': {'Delta-2': array([0., 0., 0., ..., 0., 0., 0.]),\n",
+       "  'Omicron_BA1-2': array([ 0.        , -0.00644573,  0.        , ...,  0.96713367,\n",
+       "         -0.66127992, -0.        ])},\n",
+       " 'theta': {'ge_bias': Array([-8.17271859], dtype=float64),\n",
+       "  'ge_scale': Array([11.973], dtype=float64)},\n",
+       " 'beta': {'Delta-2': Array([-0.67037649, -1.21083294,  0.37633261, ..., -0.63905219,\n",
+       "          0.09754517,  0.60171278], dtype=float64),\n",
+       "  'Omicron_BA1-2': Array([-0.67037649, -1.21727867,  0.37633261, ...,  0.32808149,\n",
+       "         -0.56373475,  0.60171278], dtype=float64)},\n",
+       " 'beta0': {'Delta-2': Array([0.75802565], dtype=float64),\n",
+       "  'Omicron_BA1-2': Array([-1.15687509], dtype=float64)}}"
       ]
      },
+     "execution_count": 22,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "fig, ax = plt.subplots(figsize=[8,4])\n",
-    "agg_func = lambda x: onp.abs(onp.mean(onp.sum(x)))\n",
-    "model.plot_param_hist(\"shift_Omicron_BA1-2\", ax=ax, show=False)\n",
-    "ax.set_yscale(\"log\")\n",
-    "ax.legend()\n",
-    "ax.set_ylabel(\"log value\")\n",
-    "ax.set_title(\"Shift parameter value distribution\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "855ad82b",
-   "metadata": {},
-   "source": [
-    "Perhaps the best way to explore parameter values associated with individual mutations, is `Model.mut_shift_plot()` which offers the ability to interactively visualize a model's _beta_ ($\\beta_m$), experimental _shift_ ($\\Delta_{d,m}$), and _phenotype_ predictions ($\\hat{y}_{m, d}$). The plot is interactive, and allows you to hover over a mutation to see the associated values. The plot also allows you to zoom in on a region of interest using the site zoom bar. "
+    "model.params"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "3adf1b46",
+   "id": "e8e38c95",
    "metadata": {},
    "outputs": [
     {
      "data": {
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>condition</th>\n",
+       "      <th>aa_substitutions</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>func_score</th>\n",
+       "      <th>var_wrt_ref</th>\n",
+       "      <th>predicted_latent</th>\n",
+       "      <th>predicted_func_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Delta-2</td>\n",
+       "      <td></td>\n",
+       "      <td>599</td>\n",
+       "      <td>-0.15963</td>\n",
+       "      <td></td>\n",
+       "      <td>0.758026</td>\n",
+       "      <td>-0.020004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Delta-2</td>\n",
+       "      <td>A1016S</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1.29760</td>\n",
+       "      <td>A1016S</td>\n",
+       "      <td>0.301480</td>\n",
+       "      <td>-1.290588</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Delta-2</td>\n",
+       "      <td>A1016T</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.88240</td>\n",
+       "      <td>A1016T</td>\n",
+       "      <td>0.544346</td>\n",
+       "      <td>-0.595931</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Delta-2</td>\n",
+       "      <td>A1016T K1191L</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.03900</td>\n",
+       "      <td>A1016T K1191L</td>\n",
+       "      <td>0.631427</td>\n",
+       "      <td>-0.356588</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Delta-2</td>\n",
+       "      <td>A1020C</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.50800</td>\n",
+       "      <td>A1020C</td>\n",
+       "      <td>1.019307</td>\n",
+       "      <td>0.625493</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  condition aa_substitutions  weight  func_score    var_wrt_ref  \\\n",
+       "0   Delta-2                      599    -0.15963                  \n",
+       "1   Delta-2           A1016S       1    -1.29760         A1016S   \n",
+       "2   Delta-2           A1016T       1    -0.88240         A1016T   \n",
+       "3   Delta-2    A1016T K1191L       1    -0.03900  A1016T K1191L   \n",
+       "4   Delta-2           A1020C       1     0.50800         A1020C   \n",
+       "\n",
+       "   predicted_latent  predicted_func_score  \n",
+       "0          0.758026             -0.020004  \n",
+       "1          0.301480             -1.290588  \n",
+       "2          0.544346             -0.595931  \n",
+       "3          0.631427             -0.356588  \n",
+       "4          1.019307              0.625493  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.get_variants_df(phenotype_as_effect=False).head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "0345a4c6",
+   "metadata": {},
+   "source": [
+    "We can also take a quick look at the distribution of any parameter set in the model. Below we'll take a look at the distribution of shift parameters for the non reference BA1 condition. The distribution, by default, splits the shifts associated with stop codon mutations as a sanity check for the model fit. We expect stop codons to be equally deleterious no matter which condition they occur in, and thus, they should primarily be zero."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "8228b5ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=[8,4])\n",
+    "agg_func = lambda x: onp.abs(onp.mean(onp.sum(x)))\n",
+    "model.plot_param_hist(\"shift_Omicron_BA1-2\", ax=ax, show=False)\n",
+    "ax.set_yscale(\"log\")\n",
+    "ax.legend()\n",
+    "ax.set_ylabel(\"log value\")\n",
+    "ax.set_title(\"Shift parameter value distribution\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "855ad82b",
+   "metadata": {},
+   "source": [
+    "Perhaps the best way to explore parameter values associated with individual mutations, is `Model.mut_shift_plot()` which offers the ability to interactively visualize a model's _beta_ ($\\beta_m$), experimental _shift_ ($\\Delta_{d,m}$), and _phenotype_ predictions ($\\hat{y}_{m, d}$). The plot is interactive, and allows you to hover over a mutation to see the associated values. The plot also allows you to zoom in on a region of interest using the site zoom bar. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "3adf1b46",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "  #altair-viz-b78da163eed543e7b7f6a69dbbc00ade.vega-embed {\n",
+       "    width: 100%;\n",
+       "    display: flex;\n",
+       "  }\n",
+       "\n",
+       "  #altair-viz-b78da163eed543e7b7f6a69dbbc00ade.vega-embed details,\n",
+       "  #altair-viz-b78da163eed543e7b7f6a69dbbc00ade.vega-embed details summary {\n",
+       "    position: relative;\n",
+       "  }\n",
+       "</style>\n",
+       "<div id=\"altair-viz-b78da163eed543e7b7f6a69dbbc00ade\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-b78da163eed543e7b7f6a69dbbc00ade\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-b78da163eed543e7b7f6a69dbbc00ade\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.15.1?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "          s.async = true;\n",
        "          s.onload = () => {\n",
        "            VEGA_DEBUG[key] = version;\n",
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        "        .then(() => displayChart(vegaEmbed));\n",
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\"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1042}, {\"site\": 1249, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1043}, {\"site\": 1250, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1044}, {\"site\": 1251, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 1045}, {\"site\": 1252, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1046}, {\"site\": 277, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 251}, {\"site\": 598, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 494}, {\"site\": 851, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 697}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
       ],
       "text/plain": [
        "alt.VConcatChart(...)"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1566,7 +1863,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "id": "d64d1dbb",
    "metadata": {},
    "outputs": [
@@ -1575,23 +1872,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-c870c0d1e9f447d09f53eab0a4397cf3.vega-embed {\n",
+       "  #altair-viz-996308f1cb264e54bad15e6423a46495.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-c870c0d1e9f447d09f53eab0a4397cf3.vega-embed details,\n",
-       "  #altair-viz-c870c0d1e9f447d09f53eab0a4397cf3.vega-embed details summary {\n",
+       "  #altair-viz-996308f1cb264e54bad15e6423a46495.vega-embed details,\n",
+       "  #altair-viz-996308f1cb264e54bad15e6423a46495.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-c870c0d1e9f447d09f53eab0a4397cf3\"></div>\n",
+       "<div id=\"altair-viz-996308f1cb264e54bad15e6423a46495\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-c870c0d1e9f447d09f53eab0a4397cf3\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-c870c0d1e9f447d09f53eab0a4397cf3\");\n",
+       "    if (outputDiv.id !== \"altair-viz-996308f1cb264e54bad15e6423a46495\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-996308f1cb264e54bad15e6423a46495\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -1637,14 +1934,14 @@
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
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\"_stat_site_order\": 1036}, {\"site\": 1243, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1037}, {\"site\": 1244, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 1038}, {\"site\": 1245, \"wildtype\": \"K\", \"wildtype_Omicron_BA1-2\": \"K\", \"_stat_site_order\": 1039}, {\"site\": 1246, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 1040}, {\"site\": 1247, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1041}, {\"site\": 1248, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1042}, {\"site\": 1249, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1043}, {\"site\": 1250, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1044}, {\"site\": 1251, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 1045}, {\"site\": 1252, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1046}, {\"site\": 277, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 251}, {\"site\": 598, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 494}, {\"site\": 851, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 697}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
       ],
       "text/plain": [
        "alt.VConcatChart(...)"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1655,7 +1952,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "id": "121798e1",
    "metadata": {},
    "outputs": [
@@ -1664,23 +1961,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-17ad1e50e2f54617b21e7db848883e78.vega-embed {\n",
+       "  #altair-viz-27ac5146c5fe4557a3505d9287e04775.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-17ad1e50e2f54617b21e7db848883e78.vega-embed details,\n",
-       "  #altair-viz-17ad1e50e2f54617b21e7db848883e78.vega-embed details summary {\n",
+       "  #altair-viz-27ac5146c5fe4557a3505d9287e04775.vega-embed details,\n",
+       "  #altair-viz-27ac5146c5fe4557a3505d9287e04775.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-17ad1e50e2f54617b21e7db848883e78\"></div>\n",
+       "<div id=\"altair-viz-27ac5146c5fe4557a3505d9287e04775\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-17ad1e50e2f54617b21e7db848883e78\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-17ad1e50e2f54617b21e7db848883e78\");\n",
+       "    if (outputDiv.id !== \"altair-viz-27ac5146c5fe4557a3505d9287e04775\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-27ac5146c5fe4557a3505d9287e04775\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -1726,14 +2023,14 @@
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}, \"axis\": {\"grid\": false, \"labelOverlap\": \"parity\"}, \"padding\": 10}, \"vconcat\": [{\"data\": {\"name\": \"data-a76787f9407a784d3833183d23768bb2\"}, \"mark\": {\"type\": \"rect\"}, \"encoding\": {\"color\": {\"value\": \"gray\"}, \"tooltip\": [{\"field\": \"site\", \"type\": \"quantitative\"}], \"x\": {\"field\": \"site\", \"sort\": {\"field\": \"_stat_site_order\", \"order\": \"ascending\"}, \"type\": \"ordinal\"}}, \"height\": 11, \"name\": \"view_14\", \"title\": \"site zoom bar\", \"width\": 500}, {\"layer\": [{\"mark\": {\"type\": \"line\", \"opacity\": 0.7, \"size\": 1}, \"encoding\": {\"color\": {\"field\": \"condition\", \"legend\": {\"orient\": \"left\"}, \"scale\": {\"domain\": [\"Delta-2\", \"Omicron_BA1-2\"], \"range\": [\"#0072B2\", \"#CC79A7\"]}, \"type\": \"nominal\"}, \"tooltip\": [{\"field\": \"site\", \"type\": \"quantitative\"}, {\"field\": \"condition\", \"type\": 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\"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 970}, {\"site\": 1176, \"wildtype\": \"V\", \"wildtype_Omicron_BA1-2\": \"V\", \"_stat_site_order\": 971}, {\"site\": 1177, \"wildtype\": \"V\", \"wildtype_Omicron_BA1-2\": \"V\", \"_stat_site_order\": 972}, {\"site\": 1178, \"wildtype\": \"N\", \"wildtype_Omicron_BA1-2\": \"N\", \"_stat_site_order\": 973}, {\"site\": 1179, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 974}, {\"site\": 1180, \"wildtype\": \"Q\", \"wildtype_Omicron_BA1-2\": \"Q\", \"_stat_site_order\": 975}, {\"site\": 1181, \"wildtype\": \"K\", \"wildtype_Omicron_BA1-2\": \"K\", \"_stat_site_order\": 976}, {\"site\": 1182, \"wildtype\": \"E\", \"wildtype_Omicron_BA1-2\": \"E\", \"_stat_site_order\": 977}, {\"site\": 1183, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 978}, {\"site\": 1184, \"wildtype\": \"D\", \"wildtype_Omicron_BA1-2\": \"D\", \"_stat_site_order\": 979}, {\"site\": 1185, \"wildtype\": \"R\", \"wildtype_Omicron_BA1-2\": \"R\", \"_stat_site_order\": 980}, {\"site\": 1186, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 981}, {\"site\": 1187, \"wildtype\": \"N\", \"wildtype_Omicron_BA1-2\": \"N\", \"_stat_site_order\": 982}, {\"site\": 1188, \"wildtype\": \"E\", \"wildtype_Omicron_BA1-2\": \"E\", \"_stat_site_order\": 983}, {\"site\": 1189, \"wildtype\": \"V\", \"wildtype_Omicron_BA1-2\": \"V\", \"_stat_site_order\": 984}, {\"site\": 1190, \"wildtype\": \"A\", \"wildtype_Omicron_BA1-2\": \"A\", \"_stat_site_order\": 985}, {\"site\": 1191, \"wildtype\": \"K\", \"wildtype_Omicron_BA1-2\": \"K\", \"_stat_site_order\": 986}, {\"site\": 1192, \"wildtype\": \"N\", \"wildtype_Omicron_BA1-2\": \"N\", \"_stat_site_order\": 987}, {\"site\": 1193, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 988}, {\"site\": 1194, \"wildtype\": \"N\", \"wildtype_Omicron_BA1-2\": \"N\", \"_stat_site_order\": 989}, {\"site\": 1195, \"wildtype\": \"E\", \"wildtype_Omicron_BA1-2\": \"E\", \"_stat_site_order\": 990}, {\"site\": 1196, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 991}, {\"site\": 1197, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 992}, {\"site\": 1198, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 993}, {\"site\": 1199, \"wildtype\": \"D\", \"wildtype_Omicron_BA1-2\": \"D\", \"_stat_site_order\": 994}, {\"site\": 1200, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 995}, {\"site\": 1201, \"wildtype\": \"Q\", \"wildtype_Omicron_BA1-2\": \"Q\", \"_stat_site_order\": 996}, {\"site\": 1202, \"wildtype\": \"E\", \"wildtype_Omicron_BA1-2\": \"E\", \"_stat_site_order\": 997}, {\"site\": 1203, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 998}, {\"site\": 1204, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 999}, {\"site\": 1205, \"wildtype\": \"K\", \"wildtype_Omicron_BA1-2\": \"K\", \"_stat_site_order\": 1000}, {\"site\": 1206, \"wildtype\": \"Y\", \"wildtype_Omicron_BA1-2\": \"Y\", \"_stat_site_order\": 1001}, {\"site\": 1207, \"wildtype\": \"E\", \"wildtype_Omicron_BA1-2\": \"E\", \"_stat_site_order\": 1002}, {\"site\": 1208, \"wildtype\": \"Q\", \"wildtype_Omicron_BA1-2\": \"Q\", \"_stat_site_order\": 1003}, {\"site\": 1209, \"wildtype\": \"Y\", \"wildtype_Omicron_BA1-2\": \"Y\", \"_stat_site_order\": 1004}, {\"site\": 1210, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 1005}, {\"site\": 1211, \"wildtype\": \"K\", \"wildtype_Omicron_BA1-2\": \"K\", \"_stat_site_order\": 1006}, {\"site\": 1212, \"wildtype\": \"W\", \"wildtype_Omicron_BA1-2\": \"W\", \"_stat_site_order\": 1007}, {\"site\": 1213, \"wildtype\": \"P\", \"wildtype_Omicron_BA1-2\": \"P\", \"_stat_site_order\": 1008}, {\"site\": 1214, \"wildtype\": \"W\", \"wildtype_Omicron_BA1-2\": \"W\", \"_stat_site_order\": 1009}, {\"site\": 1215, \"wildtype\": \"Y\", \"wildtype_Omicron_BA1-2\": \"Y\", \"_stat_site_order\": 1010}, {\"site\": 1216, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 1011}, {\"site\": 1217, \"wildtype\": \"W\", \"wildtype_Omicron_BA1-2\": \"W\", \"_stat_site_order\": 1012}, {\"site\": 1219, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 1013}, {\"site\": 1220, \"wildtype\": \"F\", \"wildtype_Omicron_BA1-2\": \"F\", \"_stat_site_order\": 1014}, {\"site\": 1221, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 1015}, {\"site\": 1222, \"wildtype\": \"A\", \"wildtype_Omicron_BA1-2\": \"A\", \"_stat_site_order\": 1016}, {\"site\": 1223, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 1017}, {\"site\": 1224, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 1018}, {\"site\": 1225, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 1019}, {\"site\": 1226, \"wildtype\": \"A\", \"wildtype_Omicron_BA1-2\": \"A\", \"_stat_site_order\": 1020}, {\"site\": 1227, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 1021}, {\"site\": 1228, \"wildtype\": \"V\", \"wildtype_Omicron_BA1-2\": \"V\", \"_stat_site_order\": 1022}, {\"site\": 1229, \"wildtype\": \"M\", \"wildtype_Omicron_BA1-2\": \"M\", \"_stat_site_order\": 1023}, {\"site\": 1230, \"wildtype\": \"V\", \"wildtype_Omicron_BA1-2\": \"V\", \"_stat_site_order\": 1024}, {\"site\": 1231, \"wildtype\": \"T\", \"wildtype_Omicron_BA1-2\": \"T\", \"_stat_site_order\": 1025}, {\"site\": 1232, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 1026}, {\"site\": 1233, \"wildtype\": \"M\", \"wildtype_Omicron_BA1-2\": \"M\", \"_stat_site_order\": 1027}, {\"site\": 1234, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 1028}, {\"site\": 1235, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1029}, {\"site\": 1236, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1030}, {\"site\": 1237, \"wildtype\": \"M\", \"wildtype_Omicron_BA1-2\": \"M\", \"_stat_site_order\": 1031}, {\"site\": 1238, \"wildtype\": \"T\", \"wildtype_Omicron_BA1-2\": \"T\", \"_stat_site_order\": 1032}, {\"site\": 1239, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1033}, {\"site\": 1240, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1034}, {\"site\": 1241, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1035}, {\"site\": 1242, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1036}, {\"site\": 1243, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1037}, {\"site\": 1244, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 1038}, {\"site\": 1245, \"wildtype\": \"K\", \"wildtype_Omicron_BA1-2\": \"K\", \"_stat_site_order\": 1039}, {\"site\": 1246, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 1040}, {\"site\": 1247, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1041}, {\"site\": 1248, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1042}, {\"site\": 1249, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1043}, {\"site\": 1250, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 1044}, {\"site\": 1251, \"wildtype\": \"G\", \"wildtype_Omicron_BA1-2\": \"G\", \"_stat_site_order\": 1045}, {\"site\": 1252, \"wildtype\": \"S\", \"wildtype_Omicron_BA1-2\": \"S\", \"_stat_site_order\": 1046}, {\"site\": 277, \"wildtype\": \"L\", \"wildtype_Omicron_BA1-2\": \"L\", \"_stat_site_order\": 251}, {\"site\": 598, \"wildtype\": \"I\", \"wildtype_Omicron_BA1-2\": \"I\", \"_stat_site_order\": 494}, {\"site\": 851, \"wildtype\": \"C\", \"wildtype_Omicron_BA1-2\": \"C\", \"_stat_site_order\": 697}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
       ],
       "text/plain": [
        "alt.VConcatChart(...)"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1753,7 +2050,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "id": "1fa1aae5",
    "metadata": {},
    "outputs": [],
@@ -1801,7 +2098,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 33,
    "id": "71863ff4",
    "metadata": {},
    "outputs": [
@@ -1886,7 +2183,7 @@
        "      <th>432316</th>\n",
        "      <td>-0.7932</td>\n",
        "      <td>G614K Q762E Q1071R</td>\n",
-       "      <td>Omicron_BA.2</td>\n",
+       "      <td>Omicron_BA2</td>\n",
        "      <td>2</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
@@ -1894,7 +2191,7 @@
        "      <th>432317</th>\n",
        "      <td>-0.3706</td>\n",
        "      <td>D339T</td>\n",
-       "      <td>Omicron_BA.2</td>\n",
+       "      <td>Omicron_BA2</td>\n",
        "      <td>2</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
@@ -1902,7 +2199,7 @@
        "      <th>432318</th>\n",
        "      <td>-0.6116</td>\n",
        "      <td>I358L T1006I T1066S T1077A</td>\n",
-       "      <td>Omicron_BA.2</td>\n",
+       "      <td>Omicron_BA2</td>\n",
        "      <td>2</td>\n",
        "      <td>4</td>\n",
        "    </tr>\n",
@@ -1910,7 +2207,7 @@
        "      <th>432319</th>\n",
        "      <td>-0.4363</td>\n",
        "      <td>S408R R765L K1073E</td>\n",
-       "      <td>Omicron_BA.2</td>\n",
+       "      <td>Omicron_BA2</td>\n",
        "      <td>2</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
@@ -1918,7 +2215,7 @@
        "      <th>432320</th>\n",
        "      <td>-3.5000</td>\n",
        "      <td>S98A A570M D1163Y S1252C</td>\n",
-       "      <td>Omicron_BA.2</td>\n",
+       "      <td>Omicron_BA2</td>\n",
        "      <td>2</td>\n",
        "      <td>4</td>\n",
        "    </tr>\n",
@@ -1928,18 +2225,18 @@
        "</div>"
       ],
       "text/plain": [
-       "        func_score               aa_substitutions     condition  replicate  \\\n",
-       "0          -0.5087               L24V F486L D820E         Delta          1   \n",
-       "1          -0.1940                         N1125K         Delta          1   \n",
-       "2           0.9906   V16I D138C F456Y T678S E990D         Delta          1   \n",
-       "3          -0.6554         G75S T76I M731I L1004F         Delta          1   \n",
-       "4          -3.5000  L176S L229P K558R S975Y T998S         Delta          1   \n",
-       "...            ...                            ...           ...        ...   \n",
-       "432316     -0.7932             G614K Q762E Q1071R  Omicron_BA.2          2   \n",
-       "432317     -0.3706                          D339T  Omicron_BA.2          2   \n",
-       "432318     -0.6116     I358L T1006I T1066S T1077A  Omicron_BA.2          2   \n",
-       "432319     -0.4363             S408R R765L K1073E  Omicron_BA.2          2   \n",
-       "432320     -3.5000       S98A A570M D1163Y S1252C  Omicron_BA.2          2   \n",
+       "        func_score               aa_substitutions    condition  replicate  \\\n",
+       "0          -0.5087               L24V F486L D820E        Delta          1   \n",
+       "1          -0.1940                         N1125K        Delta          1   \n",
+       "2           0.9906   V16I D138C F456Y T678S E990D        Delta          1   \n",
+       "3          -0.6554         G75S T76I M731I L1004F        Delta          1   \n",
+       "4          -3.5000  L176S L229P K558R S975Y T998S        Delta          1   \n",
+       "...            ...                            ...          ...        ...   \n",
+       "432316     -0.7932             G614K Q762E Q1071R  Omicron_BA2          2   \n",
+       "432317     -0.3706                          D339T  Omicron_BA2          2   \n",
+       "432318     -0.6116     I358L T1006I T1066S T1077A  Omicron_BA2          2   \n",
+       "432319     -0.4363             S408R R765L K1073E  Omicron_BA2          2   \n",
+       "432320     -3.5000       S98A A570M D1163Y S1252C  Omicron_BA2          2   \n",
        "\n",
        "        n_subs  \n",
        "0            3  \n",
@@ -1957,19 +2254,23 @@
        "[432321 rows x 5 columns]"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "func_score_df = pd.read_csv(\"docs_func_score_df_delta_BA1_BA2.csv\").fillna(\"\")\n",
+    "func_score_df = (\n",
+    "    pd.read_csv(\"docs_func_score_df_delta_BA1_BA2.csv\")\n",
+    "    .fillna(\"\")\n",
+    "    .replace({\"Omicron_BA.1\" : \"Omicron_BA1\", \"Omicron_BA.2\" : \"Omicron_BA2\"})\n",
+    ")\n",
     "func_score_df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 34,
    "id": "c9449c29",
    "metadata": {},
    "outputs": [
@@ -1996,6 +2297,27 @@
     "func_score_df.info()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "b4ebf908",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Delta', 'Omicron_BA1', 'Omicron_BA2'], dtype=object)"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "func_score_df.condition.unique()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "4595b256",
@@ -2008,15 +2330,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 36,
    "id": "bef3c901",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n",
+      "/home/jgallowa/mambaforge/envs/multidms-dev/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{1: Data(Replicate 1), 2: Data(Replicate 2)}\n"
+      "{1: Data, 2: Data}\n"
      ]
     }
    ],
@@ -2047,7 +2391,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 37,
    "id": "544c1598",
    "metadata": {},
    "outputs": [],
@@ -2084,38 +2428,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 38,
    "id": "d68ea914",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "model                                                 Model(Model-1)\n",
-       "dataset_name                                             Replicate 1\n",
-       "step_loss                    [6.707913875579834, 0.6865768432617188]\n",
-       "epistatic_model                                              Sigmoid\n",
-       "output_activation                                           Identity\n",
-       "scale_coeff_lasso_shift                                      0.00001\n",
-       "scale_coeff_ridge_beta                                             0\n",
-       "scale_coeff_ridge_shift                                            0\n",
-       "scale_coeff_ridge_gamma                                            0\n",
-       "scale_coeff_ridge_alpha_d                                      0.001\n",
-       "huber_scale_huber                                                  1\n",
-       "gamma_corrected                                                False\n",
-       "alpha_d                                                         True\n",
-       "init_beta_naught                                                 0.0\n",
-       "lock_beta_naught_at                                             None\n",
-       "tol                                                           0.0001\n",
-       "num_training_steps                                                 1\n",
-       "iterations_per_step                                            15000\n",
-       "n_hidden_units                                                     5\n",
-       "lower_bound                                                     None\n",
-       "PRNGKey                                                            0\n",
+       "epistatic_model                                                        Sigmoid\n",
+       "output_activation                                                     Identity\n",
+       "init_theta_scale                                                           6.5\n",
+       "init_theta_bias                                                           -3.5\n",
+       "n_hidden_units                                                               5\n",
+       "lower_bound                                                               None\n",
+       "PRNGKey                                                                      0\n",
+       "num_training_steps                                                           1\n",
+       "iterations_per_step                                                      15000\n",
+       "alpha_d                                                                   True\n",
+       "scale_coeff_ridge_alpha_d                                                0.001\n",
+       "scale_coeff_lasso_shift                                                0.00001\n",
+       "dataset_name                                                       Replicate 1\n",
+       "model                        Model\\nName: unnamed\\nData: Replicate 1\\nConve...\n",
+       "fit_time                                                                    88\n",
        "dtype: object"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2135,7 +2473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 39,
    "id": "475fafe3",
    "metadata": {},
    "outputs": [
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        "    display: flex;\n",
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-       "  #altair-viz-464f521d903f455dadce25f5678d49ed.vega-embed details summary {\n",
+       "  #altair-viz-957ff16b4d234d00990704a8740489c9.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-464f521d903f455dadce25f5678d49ed\"></div>\n",
+       "<div id=\"altair-viz-957ff16b4d234d00990704a8740489c9\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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-       "      outputDiv = document.getElementById(\"altair-viz-464f521d903f455dadce25f5678d49ed\");\n",
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+       "      outputDiv = document.getElementById(\"altair-viz-957ff16b4d234d00990704a8740489c9\");\n",
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\"_stat_site_order\": 1165}, {\"site\": 1186, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1166}, {\"site\": 1187, \"wildtype\": \"N\", \"wildtype_Omicron_BA1\": \"N\", \"wildtype_Omicron_BA2\": \"N\", \"_stat_site_order\": 1167}, {\"site\": 1188, \"wildtype\": \"E\", \"wildtype_Omicron_BA1\": \"E\", \"wildtype_Omicron_BA2\": \"E\", \"_stat_site_order\": 1168}, {\"site\": 1189, \"wildtype\": \"V\", \"wildtype_Omicron_BA1\": \"V\", \"wildtype_Omicron_BA2\": \"V\", \"_stat_site_order\": 1169}, {\"site\": 1190, \"wildtype\": \"A\", \"wildtype_Omicron_BA1\": \"A\", \"wildtype_Omicron_BA2\": \"A\", \"_stat_site_order\": 1170}, {\"site\": 1191, \"wildtype\": \"K\", \"wildtype_Omicron_BA1\": \"K\", \"wildtype_Omicron_BA2\": \"K\", \"_stat_site_order\": 1171}, {\"site\": 1192, \"wildtype\": \"N\", \"wildtype_Omicron_BA1\": \"N\", \"wildtype_Omicron_BA2\": \"N\", \"_stat_site_order\": 1172}, {\"site\": 1193, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1173}, {\"site\": 1194, \"wildtype\": \"N\", \"wildtype_Omicron_BA1\": \"N\", \"wildtype_Omicron_BA2\": \"N\", \"_stat_site_order\": 1174}, {\"site\": 1195, \"wildtype\": \"E\", \"wildtype_Omicron_BA1\": \"E\", \"wildtype_Omicron_BA2\": \"E\", \"_stat_site_order\": 1175}, {\"site\": 1196, \"wildtype\": \"S\", \"wildtype_Omicron_BA1\": \"S\", \"wildtype_Omicron_BA2\": \"S\", \"_stat_site_order\": 1176}, {\"site\": 1197, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1177}, {\"site\": 1198, \"wildtype\": \"I\", \"wildtype_Omicron_BA1\": \"I\", \"wildtype_Omicron_BA2\": \"I\", \"_stat_site_order\": 1178}, {\"site\": 1199, \"wildtype\": \"D\", \"wildtype_Omicron_BA1\": \"D\", \"wildtype_Omicron_BA2\": \"D\", \"_stat_site_order\": 1179}, {\"site\": 1200, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1180}, {\"site\": 1201, \"wildtype\": \"Q\", \"wildtype_Omicron_BA1\": \"Q\", \"wildtype_Omicron_BA2\": \"Q\", \"_stat_site_order\": 1181}, {\"site\": 1202, \"wildtype\": \"E\", \"wildtype_Omicron_BA1\": \"E\", \"wildtype_Omicron_BA2\": \"E\", \"_stat_site_order\": 1182}, {\"site\": 1203, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1183}, {\"site\": 1204, \"wildtype\": \"G\", \"wildtype_Omicron_BA1\": \"G\", \"wildtype_Omicron_BA2\": \"G\", \"_stat_site_order\": 1184}, {\"site\": 1205, \"wildtype\": \"K\", \"wildtype_Omicron_BA1\": \"K\", \"wildtype_Omicron_BA2\": \"K\", \"_stat_site_order\": 1185}, {\"site\": 1206, \"wildtype\": \"Y\", \"wildtype_Omicron_BA1\": \"Y\", \"wildtype_Omicron_BA2\": \"Y\", \"_stat_site_order\": 1186}, {\"site\": 1207, \"wildtype\": \"E\", \"wildtype_Omicron_BA1\": \"E\", \"wildtype_Omicron_BA2\": \"E\", \"_stat_site_order\": 1187}, {\"site\": 1208, \"wildtype\": \"Q\", \"wildtype_Omicron_BA1\": \"Q\", \"wildtype_Omicron_BA2\": \"Q\", \"_stat_site_order\": 1188}, {\"site\": 1209, \"wildtype\": \"Y\", \"wildtype_Omicron_BA1\": \"Y\", \"wildtype_Omicron_BA2\": \"Y\", \"_stat_site_order\": 1189}, {\"site\": 1210, \"wildtype\": \"I\", \"wildtype_Omicron_BA1\": \"I\", \"wildtype_Omicron_BA2\": \"I\", \"_stat_site_order\": 1190}, {\"site\": 1211, \"wildtype\": \"K\", \"wildtype_Omicron_BA1\": \"K\", \"wildtype_Omicron_BA2\": \"K\", \"_stat_site_order\": 1191}, {\"site\": 1212, \"wildtype\": \"W\", \"wildtype_Omicron_BA1\": \"W\", \"wildtype_Omicron_BA2\": \"W\", \"_stat_site_order\": 1192}, {\"site\": 1213, \"wildtype\": \"P\", \"wildtype_Omicron_BA1\": \"P\", \"wildtype_Omicron_BA2\": \"P\", \"_stat_site_order\": 1193}, {\"site\": 1214, \"wildtype\": \"W\", \"wildtype_Omicron_BA1\": \"W\", \"wildtype_Omicron_BA2\": \"W\", \"_stat_site_order\": 1194}, {\"site\": 1215, \"wildtype\": \"Y\", \"wildtype_Omicron_BA1\": \"Y\", \"wildtype_Omicron_BA2\": \"Y\", \"_stat_site_order\": 1195}, {\"site\": 1216, \"wildtype\": \"I\", \"wildtype_Omicron_BA1\": \"I\", \"wildtype_Omicron_BA2\": \"I\", \"_stat_site_order\": 1196}, {\"site\": 1217, \"wildtype\": \"W\", \"wildtype_Omicron_BA1\": \"W\", \"wildtype_Omicron_BA2\": \"W\", \"_stat_site_order\": 1197}, {\"site\": 1218, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1198}, {\"site\": 1219, \"wildtype\": \"G\", \"wildtype_Omicron_BA1\": \"G\", \"wildtype_Omicron_BA2\": \"G\", \"_stat_site_order\": 1199}, {\"site\": 1220, \"wildtype\": \"F\", \"wildtype_Omicron_BA1\": \"F\", \"wildtype_Omicron_BA2\": \"F\", \"_stat_site_order\": 1200}, {\"site\": 1221, \"wildtype\": \"I\", \"wildtype_Omicron_BA1\": \"I\", \"wildtype_Omicron_BA2\": \"I\", \"_stat_site_order\": 1201}, {\"site\": 1222, \"wildtype\": \"A\", \"wildtype_Omicron_BA1\": \"A\", \"wildtype_Omicron_BA2\": \"A\", \"_stat_site_order\": 1202}, {\"site\": 1223, \"wildtype\": \"G\", \"wildtype_Omicron_BA1\": \"G\", \"wildtype_Omicron_BA2\": \"G\", \"_stat_site_order\": 1203}, {\"site\": 1224, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1204}, {\"site\": 1225, \"wildtype\": \"I\", \"wildtype_Omicron_BA1\": \"I\", \"wildtype_Omicron_BA2\": \"I\", \"_stat_site_order\": 1205}, {\"site\": 1226, \"wildtype\": \"A\", \"wildtype_Omicron_BA1\": \"A\", \"wildtype_Omicron_BA2\": \"A\", \"_stat_site_order\": 1206}, {\"site\": 1227, \"wildtype\": \"I\", \"wildtype_Omicron_BA1\": \"I\", \"wildtype_Omicron_BA2\": \"I\", \"_stat_site_order\": 1207}, {\"site\": 1228, \"wildtype\": \"V\", \"wildtype_Omicron_BA1\": \"V\", \"wildtype_Omicron_BA2\": \"V\", \"_stat_site_order\": 1208}, {\"site\": 1229, \"wildtype\": \"M\", \"wildtype_Omicron_BA1\": \"M\", \"wildtype_Omicron_BA2\": \"M\", \"_stat_site_order\": 1209}, {\"site\": 1230, \"wildtype\": \"V\", \"wildtype_Omicron_BA1\": \"V\", \"wildtype_Omicron_BA2\": \"V\", \"_stat_site_order\": 1210}, {\"site\": 1231, \"wildtype\": \"T\", \"wildtype_Omicron_BA1\": \"T\", \"wildtype_Omicron_BA2\": \"T\", \"_stat_site_order\": 1211}, {\"site\": 1232, \"wildtype\": \"I\", \"wildtype_Omicron_BA1\": \"I\", \"wildtype_Omicron_BA2\": \"I\", \"_stat_site_order\": 1212}, {\"site\": 1233, \"wildtype\": \"M\", \"wildtype_Omicron_BA1\": \"M\", \"wildtype_Omicron_BA2\": \"M\", \"_stat_site_order\": 1213}, {\"site\": 1234, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1214}, {\"site\": 1235, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1215}, {\"site\": 1236, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1216}, {\"site\": 1237, \"wildtype\": \"M\", \"wildtype_Omicron_BA1\": \"M\", \"wildtype_Omicron_BA2\": \"M\", \"_stat_site_order\": 1217}, {\"site\": 1238, \"wildtype\": \"T\", \"wildtype_Omicron_BA1\": \"T\", \"wildtype_Omicron_BA2\": \"T\", \"_stat_site_order\": 1218}, {\"site\": 1239, \"wildtype\": \"S\", \"wildtype_Omicron_BA1\": \"S\", \"wildtype_Omicron_BA2\": \"S\", \"_stat_site_order\": 1219}, {\"site\": 1240, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1220}, {\"site\": 1241, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1221}, {\"site\": 1242, \"wildtype\": \"S\", \"wildtype_Omicron_BA1\": \"S\", \"wildtype_Omicron_BA2\": \"S\", \"_stat_site_order\": 1222}, {\"site\": 1243, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1223}, {\"site\": 1244, \"wildtype\": \"L\", \"wildtype_Omicron_BA1\": \"L\", \"wildtype_Omicron_BA2\": \"L\", \"_stat_site_order\": 1224}, {\"site\": 1245, \"wildtype\": \"K\", \"wildtype_Omicron_BA1\": \"K\", \"wildtype_Omicron_BA2\": \"K\", \"_stat_site_order\": 1225}, {\"site\": 1246, \"wildtype\": \"G\", \"wildtype_Omicron_BA1\": \"G\", \"wildtype_Omicron_BA2\": \"G\", \"_stat_site_order\": 1226}, {\"site\": 1247, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1227}, {\"site\": 1248, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1228}, {\"site\": 1249, \"wildtype\": \"S\", \"wildtype_Omicron_BA1\": \"S\", \"wildtype_Omicron_BA2\": \"S\", \"_stat_site_order\": 1229}, {\"site\": 1250, \"wildtype\": \"C\", \"wildtype_Omicron_BA1\": \"C\", \"wildtype_Omicron_BA2\": \"C\", \"_stat_site_order\": 1230}, {\"site\": 1251, \"wildtype\": \"G\", \"wildtype_Omicron_BA1\": \"G\", \"wildtype_Omicron_BA2\": \"G\", \"_stat_site_order\": 1231}, {\"site\": 1252, \"wildtype\": \"S\", \"wildtype_Omicron_BA1\": \"S\", \"wildtype_Omicron_BA2\": \"S\", \"_stat_site_order\": 1232}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
       ],
       "text/plain": [
        "alt.VConcatChart(...)"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2234,19 +2572,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 45,
    "id": "b1b6438f",
    "metadata": {},
    "outputs": [],
    "source": [
     "collection_params = {\n",
     "    \"dataset\": list(data_replicates.values()),\n",
-    "    \"num_training_steps\" : [1],\n",
-    "    \"iterations_per_step\": [15000],\n",
+    "    \"maxiter\": [1000],\n",
     "    \"output_activation\" : [\"Softplus\"],\n",
     "    \"lower_bound\" : [-3.5],\n",
-    "    \"alpha_d\" : [True],\n",
-    "    \"scale_coeff_ridge_alpha_d\": [1e-3],\n",
+    "    \"scale_coeff_ridge_beta\" : [1e-6],\n",
+    "    \"scale_coeff_ridge_ge_scale\": [1e-3],\n",
     "    \"scale_coeff_lasso_shift\": [0.0, 1e-6, 1e-5, 5e-5, 1e-4, 1e-3],\n",
     "}"
    ]
@@ -2261,7 +2598,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 47,
    "id": "c0dc0e7f",
    "metadata": {},
    "outputs": [
@@ -2269,108 +2606,26 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[{'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 1),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 0.0,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 1),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 1e-06,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 1),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 1e-05,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 1),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 5e-05,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 1),\n",
-      "  'iterations_per_step': 15000,\n",
+      "[{'dataset': Data,\n",
       "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 0.0001,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 1),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 0.001,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 2),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
+      "  'maxiter': 1000,\n",
       "  'output_activation': 'Softplus',\n",
       "  'scale_coeff_lasso_shift': 0.0,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 2),\n",
-      "  'iterations_per_step': 15000,\n",
+      "  'scale_coeff_ridge_beta': 1e-06,\n",
+      "  'scale_coeff_ridge_ge_scale': 0.001},\n",
+      " {'dataset': Data,\n",
       "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
+      "  'maxiter': 1000,\n",
       "  'output_activation': 'Softplus',\n",
       "  'scale_coeff_lasso_shift': 1e-06,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 2),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 1e-05,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 2),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 5e-05,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 2),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 0.0001,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001},\n",
-      " {'alpha_d': True,\n",
-      "  'dataset': Data(Replicate 2),\n",
-      "  'iterations_per_step': 15000,\n",
-      "  'lower_bound': -3.5,\n",
-      "  'num_training_steps': 1,\n",
-      "  'output_activation': 'Softplus',\n",
-      "  'scale_coeff_lasso_shift': 0.001,\n",
-      "  'scale_coeff_ridge_alpha_d': 0.001}]\n"
+      "  'scale_coeff_ridge_beta': 1e-06,\n",
+      "  'scale_coeff_ridge_ge_scale': 0.001}]\n"
      ]
     }
    ],
    "source": [
     "from pprint import pprint\n",
-    "pprint(multidms.model_collection._explode_params_dict(collection_params))"
+    "pprint(multidms.utils.explode_params_dict(collection_params)[:2])"
    ]
   },
   {
@@ -2383,12 +2638,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 49,
    "id": "1454a6d2",
    "metadata": {},
    "outputs": [],
    "source": [
-    "n_fit, n_failed, fit_models = multidms.model_collection.fit_models(collection_params, n_threads=4)"
+    "n_fit, n_failed, fit_models = multidms.model_collection.fit_models(collection_params, n_threads=12)"
    ]
   },
   {
@@ -2401,7 +2656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 50,
    "id": "f4c28eda",
    "metadata": {},
    "outputs": [
@@ -2426,412 +2681,290 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>model</th>\n",
-       "      <th>dataset_name</th>\n",
-       "      <th>step_loss</th>\n",
        "      <th>epistatic_model</th>\n",
        "      <th>output_activation</th>\n",
-       "      <th>scale_coeff_lasso_shift</th>\n",
-       "      <th>scale_coeff_ridge_beta</th>\n",
-       "      <th>scale_coeff_ridge_shift</th>\n",
-       "      <th>scale_coeff_ridge_gamma</th>\n",
-       "      <th>scale_coeff_ridge_alpha_d</th>\n",
-       "      <th>...</th>\n",
-       "      <th>gamma_corrected</th>\n",
-       "      <th>alpha_d</th>\n",
-       "      <th>init_beta_naught</th>\n",
-       "      <th>lock_beta_naught_at</th>\n",
-       "      <th>tol</th>\n",
-       "      <th>num_training_steps</th>\n",
-       "      <th>iterations_per_step</th>\n",
+       "      <th>init_theta_scale</th>\n",
+       "      <th>init_theta_bias</th>\n",
        "      <th>n_hidden_units</th>\n",
        "      <th>lower_bound</th>\n",
        "      <th>PRNGKey</th>\n",
+       "      <th>maxiter</th>\n",
+       "      <th>scale_coeff_lasso_shift</th>\n",
+       "      <th>scale_coeff_ridge_beta</th>\n",
+       "      <th>scale_coeff_ridge_ge_scale</th>\n",
+       "      <th>dataset_name</th>\n",
+       "      <th>model</th>\n",
+       "      <th>fit_time</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Model(Model-0)</td>\n",
-       "      <td>Replicate 1</td>\n",
-       "      <td>[4.571287155151367, 0.6238023638725281]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 1</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 1\\nConve...</td>\n",
+       "      <td>109</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>Model(Model-0)</td>\n",
-       "      <td>Replicate 1</td>\n",
-       "      <td>[4.571287155151367, 0.6282336115837097]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.000001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 1</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 1\\nConve...</td>\n",
+       "      <td>108</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Model(Model-0)</td>\n",
-       "      <td>Replicate 1</td>\n",
-       "      <td>[4.571287155151367, 0.6726276278495789]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.00001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.00001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 1</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 1\\nConve...</td>\n",
+       "      <td>108</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Model(Model-0)</td>\n",
-       "      <td>Replicate 1</td>\n",
-       "      <td>[4.571287155151367, 0.8288853168487549]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.00005</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.00005</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 1</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 1\\nConve...</td>\n",
+       "      <td>108</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Model(Model-1)</td>\n",
-       "      <td>Replicate 1</td>\n",
-       "      <td>[4.571287155151367, 0.8795142769813538]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.0001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 1</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 1\\nConve...</td>\n",
+       "      <td>109</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>Model(Model-1)</td>\n",
-       "      <td>Replicate 1</td>\n",
-       "      <td>[4.571287155151367, 0.9037127494812012]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 1</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 1\\nConve...</td>\n",
+       "      <td>107</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>Model(Model-1)</td>\n",
-       "      <td>Replicate 2</td>\n",
-       "      <td>[3.9341390132904053, 0.5897706747055054]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 2</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 2\\nConve...</td>\n",
+       "      <td>106</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>Model(Model-1)</td>\n",
-       "      <td>Replicate 2</td>\n",
-       "      <td>[3.9341390132904053, 0.5946934819221497]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.000001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 2</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 2\\nConve...</td>\n",
+       "      <td>105</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td>Model(Model-2)</td>\n",
-       "      <td>Replicate 2</td>\n",
-       "      <td>[3.9341390132904053, 0.6400377750396729]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.00001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.00001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 2</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 2\\nConve...</td>\n",
+       "      <td>105</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>Model(Model-2)</td>\n",
-       "      <td>Replicate 2</td>\n",
-       "      <td>[3.9341390132904053, 0.7173289656639099]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.00005</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.00005</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 2</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 2\\nConve...</td>\n",
+       "      <td>107</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
-       "      <td>Model(Model-2)</td>\n",
-       "      <td>Replicate 2</td>\n",
-       "      <td>[3.9341390132904053, 0.8550326824188232]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.0001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 2</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 2\\nConve...</td>\n",
+       "      <td>106</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
-       "      <td>Model(Model-2)</td>\n",
-       "      <td>Replicate 2</td>\n",
-       "      <td>[3.9341390132904053, 0.881784200668335]</td>\n",
        "      <td>Sigmoid</td>\n",
        "      <td>Softplus</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.0001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15000</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>-3.5</td>\n",
        "      <td>5</td>\n",
        "      <td>-3.5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>Replicate 2</td>\n",
+       "      <td>Model\\nName: unnamed\\nData: Replicate 2\\nConve...</td>\n",
+       "      <td>106</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>12 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "             model dataset_name                                 step_loss  \\\n",
-       "0   Model(Model-0)  Replicate 1   [4.571287155151367, 0.6238023638725281]   \n",
-       "1   Model(Model-0)  Replicate 1   [4.571287155151367, 0.6282336115837097]   \n",
-       "2   Model(Model-0)  Replicate 1   [4.571287155151367, 0.6726276278495789]   \n",
-       "3   Model(Model-0)  Replicate 1   [4.571287155151367, 0.8288853168487549]   \n",
-       "4   Model(Model-1)  Replicate 1   [4.571287155151367, 0.8795142769813538]   \n",
-       "5   Model(Model-1)  Replicate 1   [4.571287155151367, 0.9037127494812012]   \n",
-       "6   Model(Model-1)  Replicate 2  [3.9341390132904053, 0.5897706747055054]   \n",
-       "7   Model(Model-1)  Replicate 2  [3.9341390132904053, 0.5946934819221497]   \n",
-       "8   Model(Model-2)  Replicate 2  [3.9341390132904053, 0.6400377750396729]   \n",
-       "9   Model(Model-2)  Replicate 2  [3.9341390132904053, 0.7173289656639099]   \n",
-       "10  Model(Model-2)  Replicate 2  [3.9341390132904053, 0.8550326824188232]   \n",
-       "11  Model(Model-2)  Replicate 2   [3.9341390132904053, 0.881784200668335]   \n",
-       "\n",
-       "   epistatic_model output_activation scale_coeff_lasso_shift  \\\n",
-       "0          Sigmoid          Softplus                     0.0   \n",
-       "1          Sigmoid          Softplus                0.000001   \n",
-       "2          Sigmoid          Softplus                 0.00001   \n",
-       "3          Sigmoid          Softplus                 0.00005   \n",
-       "4          Sigmoid          Softplus                  0.0001   \n",
-       "5          Sigmoid          Softplus                   0.001   \n",
-       "6          Sigmoid          Softplus                     0.0   \n",
-       "7          Sigmoid          Softplus                0.000001   \n",
-       "8          Sigmoid          Softplus                 0.00001   \n",
-       "9          Sigmoid          Softplus                 0.00005   \n",
-       "10         Sigmoid          Softplus                  0.0001   \n",
-       "11         Sigmoid          Softplus                   0.001   \n",
-       "\n",
-       "   scale_coeff_ridge_beta scale_coeff_ridge_shift scale_coeff_ridge_gamma  \\\n",
-       "0                       0                       0                       0   \n",
-       "1                       0                       0                       0   \n",
-       "2                       0                       0                       0   \n",
-       "3                       0                       0                       0   \n",
-       "4                       0                       0                       0   \n",
-       "5                       0                       0                       0   \n",
-       "6                       0                       0                       0   \n",
-       "7                       0                       0                       0   \n",
-       "8                       0                       0                       0   \n",
-       "9                       0                       0                       0   \n",
-       "10                      0                       0                       0   \n",
-       "11                      0                       0                       0   \n",
-       "\n",
-       "   scale_coeff_ridge_alpha_d  ... gamma_corrected alpha_d init_beta_naught  \\\n",
-       "0                      0.001  ...           False    True              0.0   \n",
-       "1                      0.001  ...           False    True              0.0   \n",
-       "2                      0.001  ...           False    True              0.0   \n",
-       "3                      0.001  ...           False    True              0.0   \n",
-       "4                      0.001  ...           False    True              0.0   \n",
-       "5                      0.001  ...           False    True              0.0   \n",
-       "6                      0.001  ...           False    True              0.0   \n",
-       "7                      0.001  ...           False    True              0.0   \n",
-       "8                      0.001  ...           False    True              0.0   \n",
-       "9                      0.001  ...           False    True              0.0   \n",
-       "10                     0.001  ...           False    True              0.0   \n",
-       "11                     0.001  ...           False    True              0.0   \n",
-       "\n",
-       "   lock_beta_naught_at     tol num_training_steps iterations_per_step  \\\n",
-       "0                 None  0.0001                  1               15000   \n",
-       "1                 None  0.0001                  1               15000   \n",
-       "2                 None  0.0001                  1               15000   \n",
-       "3                 None  0.0001                  1               15000   \n",
-       "4                 None  0.0001                  1               15000   \n",
-       "5                 None  0.0001                  1               15000   \n",
-       "6                 None  0.0001                  1               15000   \n",
-       "7                 None  0.0001                  1               15000   \n",
-       "8                 None  0.0001                  1               15000   \n",
-       "9                 None  0.0001                  1               15000   \n",
-       "10                None  0.0001                  1               15000   \n",
-       "11                None  0.0001                  1               15000   \n",
-       "\n",
-       "   n_hidden_units lower_bound PRNGKey  \n",
-       "0               5        -3.5       0  \n",
-       "1               5        -3.5       0  \n",
-       "2               5        -3.5       0  \n",
-       "3               5        -3.5       0  \n",
-       "4               5        -3.5       0  \n",
-       "5               5        -3.5       0  \n",
-       "6               5        -3.5       0  \n",
-       "7               5        -3.5       0  \n",
-       "8               5        -3.5       0  \n",
-       "9               5        -3.5       0  \n",
-       "10              5        -3.5       0  \n",
-       "11              5        -3.5       0  \n",
-       "\n",
-       "[12 rows x 21 columns]"
+       "   epistatic_model output_activation init_theta_scale init_theta_bias  \\\n",
+       "0          Sigmoid          Softplus              6.5            -3.5   \n",
+       "1          Sigmoid          Softplus              6.5            -3.5   \n",
+       "2          Sigmoid          Softplus              6.5            -3.5   \n",
+       "3          Sigmoid          Softplus              6.5            -3.5   \n",
+       "4          Sigmoid          Softplus              6.5            -3.5   \n",
+       "5          Sigmoid          Softplus              6.5            -3.5   \n",
+       "6          Sigmoid          Softplus              6.5            -3.5   \n",
+       "7          Sigmoid          Softplus              6.5            -3.5   \n",
+       "8          Sigmoid          Softplus              6.5            -3.5   \n",
+       "9          Sigmoid          Softplus              6.5            -3.5   \n",
+       "10         Sigmoid          Softplus              6.5            -3.5   \n",
+       "11         Sigmoid          Softplus              6.5            -3.5   \n",
+       "\n",
+       "   n_hidden_units lower_bound PRNGKey maxiter scale_coeff_lasso_shift  \\\n",
+       "0               5        -3.5       0    1000                     0.0   \n",
+       "1               5        -3.5       0    1000                0.000001   \n",
+       "2               5        -3.5       0    1000                 0.00001   \n",
+       "3               5        -3.5       0    1000                 0.00005   \n",
+       "4               5        -3.5       0    1000                  0.0001   \n",
+       "5               5        -3.5       0    1000                   0.001   \n",
+       "6               5        -3.5       0    1000                     0.0   \n",
+       "7               5        -3.5       0    1000                0.000001   \n",
+       "8               5        -3.5       0    1000                 0.00001   \n",
+       "9               5        -3.5       0    1000                 0.00005   \n",
+       "10              5        -3.5       0    1000                  0.0001   \n",
+       "11              5        -3.5       0    1000                   0.001   \n",
+       "\n",
+       "   scale_coeff_ridge_beta scale_coeff_ridge_ge_scale dataset_name  \\\n",
+       "0                0.000001                      0.001  Replicate 1   \n",
+       "1                0.000001                      0.001  Replicate 1   \n",
+       "2                0.000001                      0.001  Replicate 1   \n",
+       "3                0.000001                      0.001  Replicate 1   \n",
+       "4                0.000001                      0.001  Replicate 1   \n",
+       "5                0.000001                      0.001  Replicate 1   \n",
+       "6                0.000001                      0.001  Replicate 2   \n",
+       "7                0.000001                      0.001  Replicate 2   \n",
+       "8                0.000001                      0.001  Replicate 2   \n",
+       "9                0.000001                      0.001  Replicate 2   \n",
+       "10               0.000001                      0.001  Replicate 2   \n",
+       "11               0.000001                      0.001  Replicate 2   \n",
+       "\n",
+       "                                                model fit_time  \n",
+       "0   Model\\nName: unnamed\\nData: Replicate 1\\nConve...      109  \n",
+       "1   Model\\nName: unnamed\\nData: Replicate 1\\nConve...      108  \n",
+       "2   Model\\nName: unnamed\\nData: Replicate 1\\nConve...      108  \n",
+       "3   Model\\nName: unnamed\\nData: Replicate 1\\nConve...      108  \n",
+       "4   Model\\nName: unnamed\\nData: Replicate 1\\nConve...      109  \n",
+       "5   Model\\nName: unnamed\\nData: Replicate 1\\nConve...      107  \n",
+       "6   Model\\nName: unnamed\\nData: Replicate 2\\nConve...      106  \n",
+       "7   Model\\nName: unnamed\\nData: Replicate 2\\nConve...      105  \n",
+       "8   Model\\nName: unnamed\\nData: Replicate 2\\nConve...      105  \n",
+       "9   Model\\nName: unnamed\\nData: Replicate 2\\nConve...      107  \n",
+       "10  Model\\nName: unnamed\\nData: Replicate 2\\nConve...      106  \n",
+       "11  Model\\nName: unnamed\\nData: Replicate 2\\nConve...      106  "
       ]
      },
-     "execution_count": 36,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2866,7 +2999,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 51,
    "id": "1e78a46e",
    "metadata": {},
    "outputs": [],
@@ -2884,7 +3017,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 52,
    "id": "91907a87",
    "metadata": {},
    "outputs": [
@@ -2918,15 +3051,17 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>mutation</th>\n",
-       "      <th>beta</th>\n",
-       "      <th>shift_Omicron_BA.1</th>\n",
-       "      <th>shift_Omicron_BA.2</th>\n",
-       "      <th>predicted_func_score_Delta</th>\n",
-       "      <th>predicted_func_score_Omicron_BA.1</th>\n",
-       "      <th>predicted_func_score_Omicron_BA.2</th>\n",
        "      <th>times_seen_Delta</th>\n",
-       "      <th>times_seen_Omicron_BA.1</th>\n",
-       "      <th>times_seen_Omicron_BA.2</th>\n",
+       "      <th>times_seen_Omicron_BA1</th>\n",
+       "      <th>times_seen_Omicron_BA2</th>\n",
+       "      <th>beta_Delta</th>\n",
+       "      <th>beta_Omicron_BA1</th>\n",
+       "      <th>shift_Omicron_BA1</th>\n",
+       "      <th>beta_Omicron_BA2</th>\n",
+       "      <th>shift_Omicron_BA2</th>\n",
+       "      <th>predicted_func_score_Delta</th>\n",
+       "      <th>predicted_func_score_Omicron_BA1</th>\n",
+       "      <th>predicted_func_score_Omicron_BA2</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>dataset_name</th>\n",
@@ -2941,6 +3076,8 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -2948,139 +3085,149 @@
        "      <th rowspan=\"5\" valign=\"top\">Replicate 1</th>\n",
        "      <th>0.0</th>\n",
        "      <td>A1015D</td>\n",
-       "      <td>-4.263447</td>\n",
-       "      <td>-4.168998</td>\n",
-       "      <td>-0.246434</td>\n",
-       "      <td>-1.940598</td>\n",
-       "      <td>-3.193376</td>\n",
-       "      <td>-2.054570</td>\n",
        "      <td>5.0</td>\n",
        "      <td>2.0</td>\n",
        "      <td>3.0</td>\n",
+       "      <td>-1.199526</td>\n",
+       "      <td>-1.955241</td>\n",
+       "      <td>-0.755714</td>\n",
+       "      <td>-0.851112</td>\n",
+       "      <td>0.348414</td>\n",
+       "      <td>-1.554889</td>\n",
+       "      <td>-2.520092</td>\n",
+       "      <td>-1.083576</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0.0</th>\n",
        "      <td>A1015Q</td>\n",
-       "      <td>-6.989111</td>\n",
-       "      <td>-3.998795</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-3.151047</td>\n",
-       "      <td>-3.223423</td>\n",
-       "      <td>-3.069028</td>\n",
        "      <td>0.0</td>\n",
        "      <td>8.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>-0.048907</td>\n",
+       "      <td>-2.681171</td>\n",
+       "      <td>-2.632264</td>\n",
+       "      <td>-0.000320</td>\n",
+       "      <td>0.048587</td>\n",
+       "      <td>-0.053516</td>\n",
+       "      <td>-3.140728</td>\n",
+       "      <td>-0.000353</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0.0</th>\n",
        "      <td>A1015S</td>\n",
-       "      <td>-0.019358</td>\n",
-       "      <td>-1.080333</td>\n",
-       "      <td>-0.496059</td>\n",
-       "      <td>-0.001317</td>\n",
-       "      <td>-0.068060</td>\n",
-       "      <td>0.037278</td>\n",
        "      <td>8.0</td>\n",
        "      <td>22.0</td>\n",
        "      <td>29.0</td>\n",
+       "      <td>0.179238</td>\n",
+       "      <td>-0.256491</td>\n",
+       "      <td>-0.435729</td>\n",
+       "      <td>-0.196018</td>\n",
+       "      <td>-0.375256</td>\n",
+       "      <td>0.185579</td>\n",
+       "      <td>-0.303580</td>\n",
+       "      <td>-0.225457</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0.0</th>\n",
        "      <td>A1015T</td>\n",
-       "      <td>-9.385324</td>\n",
-       "      <td>-1.990580</td>\n",
-       "      <td>1.863133</td>\n",
-       "      <td>-3.275185</td>\n",
-       "      <td>-3.224236</td>\n",
-       "      <td>-3.124743</td>\n",
        "      <td>7.0</td>\n",
        "      <td>12.0</td>\n",
        "      <td>22.0</td>\n",
+       "      <td>-1.782984</td>\n",
+       "      <td>-1.990034</td>\n",
+       "      <td>-0.207050</td>\n",
+       "      <td>-1.834713</td>\n",
+       "      <td>-0.051728</td>\n",
+       "      <td>-2.318638</td>\n",
+       "      <td>-2.557530</td>\n",
+       "      <td>-2.383881</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0.0</th>\n",
        "      <td>A1015V</td>\n",
-       "      <td>-4.685401</td>\n",
-       "      <td>-4.448816</td>\n",
-       "      <td>-1.000862</td>\n",
-       "      <td>-2.263942</td>\n",
-       "      <td>-3.209804</td>\n",
-       "      <td>-2.743822</td>\n",
        "      <td>0.0</td>\n",
        "      <td>6.0</td>\n",
        "      <td>7.0</td>\n",
+       "      <td>-0.080035</td>\n",
+       "      <td>-2.431665</td>\n",
+       "      <td>-2.351630</td>\n",
+       "      <td>-1.975145</td>\n",
+       "      <td>-1.895110</td>\n",
+       "      <td>-0.088201</td>\n",
+       "      <td>-2.972883</td>\n",
+       "      <td>-2.542748</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                     mutation      beta  shift_Omicron_BA.1  \\\n",
-       "dataset_name scale_coeff_lasso_shift                                          \n",
-       "Replicate 1  0.0                       A1015D -4.263447           -4.168998   \n",
-       "             0.0                       A1015Q -6.989111           -3.998795   \n",
-       "             0.0                       A1015S -0.019358           -1.080333   \n",
-       "             0.0                       A1015T -9.385324           -1.990580   \n",
-       "             0.0                       A1015V -4.685401           -4.448816   \n",
-       "\n",
-       "                                      shift_Omicron_BA.2  \\\n",
-       "dataset_name scale_coeff_lasso_shift                       \n",
-       "Replicate 1  0.0                               -0.246434   \n",
-       "             0.0                                0.000000   \n",
-       "             0.0                               -0.496059   \n",
-       "             0.0                                1.863133   \n",
-       "             0.0                               -1.000862   \n",
+       "                                     mutation  times_seen_Delta  \\\n",
+       "dataset_name scale_coeff_lasso_shift                              \n",
+       "Replicate 1  0.0                       A1015D               5.0   \n",
+       "             0.0                       A1015Q               0.0   \n",
+       "             0.0                       A1015S               8.0   \n",
+       "             0.0                       A1015T               7.0   \n",
+       "             0.0                       A1015V               0.0   \n",
+       "\n",
+       "                                      times_seen_Omicron_BA1  \\\n",
+       "dataset_name scale_coeff_lasso_shift                           \n",
+       "Replicate 1  0.0                                         2.0   \n",
+       "             0.0                                         8.0   \n",
+       "             0.0                                        22.0   \n",
+       "             0.0                                        12.0   \n",
+       "             0.0                                         6.0   \n",
+       "\n",
+       "                                      times_seen_Omicron_BA2  beta_Delta  \\\n",
+       "dataset_name scale_coeff_lasso_shift                                       \n",
+       "Replicate 1  0.0                                         3.0   -1.199526   \n",
+       "             0.0                                         0.0   -0.048907   \n",
+       "             0.0                                        29.0    0.179238   \n",
+       "             0.0                                        22.0   -1.782984   \n",
+       "             0.0                                         7.0   -0.080035   \n",
+       "\n",
+       "                                      beta_Omicron_BA1  shift_Omicron_BA1  \\\n",
+       "dataset_name scale_coeff_lasso_shift                                        \n",
+       "Replicate 1  0.0                             -1.955241          -0.755714   \n",
+       "             0.0                             -2.681171          -2.632264   \n",
+       "             0.0                             -0.256491          -0.435729   \n",
+       "             0.0                             -1.990034          -0.207050   \n",
+       "             0.0                             -2.431665          -2.351630   \n",
+       "\n",
+       "                                      beta_Omicron_BA2  shift_Omicron_BA2  \\\n",
+       "dataset_name scale_coeff_lasso_shift                                        \n",
+       "Replicate 1  0.0                             -0.851112           0.348414   \n",
+       "             0.0                             -0.000320           0.048587   \n",
+       "             0.0                             -0.196018          -0.375256   \n",
+       "             0.0                             -1.834713          -0.051728   \n",
+       "             0.0                             -1.975145          -1.895110   \n",
        "\n",
        "                                      predicted_func_score_Delta  \\\n",
        "dataset_name scale_coeff_lasso_shift                               \n",
-       "Replicate 1  0.0                                       -1.940598   \n",
-       "             0.0                                       -3.151047   \n",
-       "             0.0                                       -0.001317   \n",
-       "             0.0                                       -3.275185   \n",
-       "             0.0                                       -2.263942   \n",
-       "\n",
-       "                                      predicted_func_score_Omicron_BA.1  \\\n",
-       "dataset_name scale_coeff_lasso_shift                                      \n",
-       "Replicate 1  0.0                                              -3.193376   \n",
-       "             0.0                                              -3.223423   \n",
-       "             0.0                                              -0.068060   \n",
-       "             0.0                                              -3.224236   \n",
-       "             0.0                                              -3.209804   \n",
-       "\n",
-       "                                      predicted_func_score_Omicron_BA.2  \\\n",
-       "dataset_name scale_coeff_lasso_shift                                      \n",
-       "Replicate 1  0.0                                              -2.054570   \n",
-       "             0.0                                              -3.069028   \n",
-       "             0.0                                               0.037278   \n",
-       "             0.0                                              -3.124743   \n",
-       "             0.0                                              -2.743822   \n",
-       "\n",
-       "                                      times_seen_Delta  \\\n",
-       "dataset_name scale_coeff_lasso_shift                     \n",
-       "Replicate 1  0.0                                   5.0   \n",
-       "             0.0                                   0.0   \n",
-       "             0.0                                   8.0   \n",
-       "             0.0                                   7.0   \n",
-       "             0.0                                   0.0   \n",
-       "\n",
-       "                                      times_seen_Omicron_BA.1  \\\n",
-       "dataset_name scale_coeff_lasso_shift                            \n",
-       "Replicate 1  0.0                                          2.0   \n",
-       "             0.0                                          8.0   \n",
-       "             0.0                                         22.0   \n",
-       "             0.0                                         12.0   \n",
-       "             0.0                                          6.0   \n",
-       "\n",
-       "                                      times_seen_Omicron_BA.2  \n",
-       "dataset_name scale_coeff_lasso_shift                           \n",
-       "Replicate 1  0.0                                          3.0  \n",
-       "             0.0                                          0.0  \n",
-       "             0.0                                         29.0  \n",
-       "             0.0                                         22.0  \n",
-       "             0.0                                          7.0  "
+       "Replicate 1  0.0                                       -1.554889   \n",
+       "             0.0                                       -0.053516   \n",
+       "             0.0                                        0.185579   \n",
+       "             0.0                                       -2.318638   \n",
+       "             0.0                                       -0.088201   \n",
+       "\n",
+       "                                      predicted_func_score_Omicron_BA1  \\\n",
+       "dataset_name scale_coeff_lasso_shift                                     \n",
+       "Replicate 1  0.0                                             -2.520092   \n",
+       "             0.0                                             -3.140728   \n",
+       "             0.0                                             -0.303580   \n",
+       "             0.0                                             -2.557530   \n",
+       "             0.0                                             -2.972883   \n",
+       "\n",
+       "                                      predicted_func_score_Omicron_BA2  \n",
+       "dataset_name scale_coeff_lasso_shift                                    \n",
+       "Replicate 1  0.0                                             -1.083576  \n",
+       "             0.0                                             -0.000353  \n",
+       "             0.0                                             -0.225457  \n",
+       "             0.0                                             -2.383881  \n",
+       "             0.0                                             -2.542748  "
       ]
      },
-     "execution_count": 38,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3108,7 +3255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 53,
    "id": "8b09dd63",
    "metadata": {},
    "outputs": [
@@ -3124,23 +3271,23 @@
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        "</style>\n",
-       "<div id=\"altair-viz-3077992ed5ae42d19a38cd3ed66b71ca\"></div>\n",
+       "<div id=\"altair-viz-c2a74d4c8b9f4e48af406e95e3767edb\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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        "    let outputDiv = document.currentScript.previousElementSibling;\n",
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@@ -3186,14 +3333,14 @@
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        "</script>"
       ],
       "text/plain": [
        "alt.FacetChart(...)"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3213,7 +3360,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 54,
    "id": "1c2a4245",
    "metadata": {},
    "outputs": [
@@ -3222,23 +3369,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-c7dfbab820df422bab5247dcb348384d.vega-embed {\n",
+       "  #altair-viz-89c4ef92852a48b59985a23b15eaf3cb.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-c7dfbab820df422bab5247dcb348384d.vega-embed details,\n",
-       "  #altair-viz-c7dfbab820df422bab5247dcb348384d.vega-embed details summary {\n",
+       "  #altair-viz-89c4ef92852a48b59985a23b15eaf3cb.vega-embed details,\n",
+       "  #altair-viz-89c4ef92852a48b59985a23b15eaf3cb.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-c7dfbab820df422bab5247dcb348384d\"></div>\n",
+       "<div id=\"altair-viz-89c4ef92852a48b59985a23b15eaf3cb\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-c7dfbab820df422bab5247dcb348384d\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-c7dfbab820df422bab5247dcb348384d\");\n",
+       "    if (outputDiv.id !== \"altair-viz-89c4ef92852a48b59985a23b15eaf3cb\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-89c4ef92852a48b59985a23b15eaf3cb\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -3284,14 +3431,14 @@
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
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        "</script>"
       ],
       "text/plain": [
        "alt.FacetChart(...)"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3334,10 +3481,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 55,
    "id": "efba0f52",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jgallowa/Projects/multidms/multidms/model_collection.py:670: UserWarning: the fits that will be aggregated appear to differ by features other than dataset_name, this may result in unexpected behavior\n",
+      "  warnings.warn(\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -3350,23 +3505,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-c253e5c8e2604914b7b70f8b936f550c.vega-embed {\n",
+       "  #altair-viz-a52567f433b040559c1aa9a37f4475c0.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-c253e5c8e2604914b7b70f8b936f550c.vega-embed details,\n",
-       "  #altair-viz-c253e5c8e2604914b7b70f8b936f550c.vega-embed details summary {\n",
+       "  #altair-viz-a52567f433b040559c1aa9a37f4475c0.vega-embed details,\n",
+       "  #altair-viz-a52567f433b040559c1aa9a37f4475c0.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-c253e5c8e2604914b7b70f8b936f550c\"></div>\n",
+       "<div id=\"altair-viz-a52567f433b040559c1aa9a37f4475c0\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-c253e5c8e2604914b7b70f8b936f550c\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-c253e5c8e2604914b7b70f8b936f550c\");\n",
+       "    if (outputDiv.id !== \"altair-viz-a52567f433b040559c1aa9a37f4475c0\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-a52567f433b040559c1aa9a37f4475c0\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -3412,14 +3567,14 @@
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
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        "</script>"
       ],
       "text/plain": [
        "alt.VConcatChart(...)"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3443,7 +3598,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 56,
    "id": "1fca3bc3",
    "metadata": {},
    "outputs": [
@@ -3452,23 +3607,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-d02ce356c7fe4fad9f5f58a755a469de.vega-embed {\n",
+       "  #altair-viz-836a9d45b4a34d109ecba5a1d616d013.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-d02ce356c7fe4fad9f5f58a755a469de.vega-embed details,\n",
-       "  #altair-viz-d02ce356c7fe4fad9f5f58a755a469de.vega-embed details summary {\n",
+       "  #altair-viz-836a9d45b4a34d109ecba5a1d616d013.vega-embed details,\n",
+       "  #altair-viz-836a9d45b4a34d109ecba5a1d616d013.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-d02ce356c7fe4fad9f5f58a755a469de\"></div>\n",
+       "<div id=\"altair-viz-836a9d45b4a34d109ecba5a1d616d013\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-d02ce356c7fe4fad9f5f58a755a469de\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-d02ce356c7fe4fad9f5f58a755a469de\");\n",
+       "    if (outputDiv.id !== \"altair-viz-836a9d45b4a34d109ecba5a1d616d013\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-836a9d45b4a34d109ecba5a1d616d013\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -3514,14 +3669,14 @@
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
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{\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": -0.04377734203655392}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.8136510045440652}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA1\", \"shift\": -2.105158796424914}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": -2.342480343585889}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": -0.052685097493496036}, {\"dataset_name\": 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\"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA1\", \"shift\": -2.568666258165416}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": -1.952300246676213}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": -1.4058008575524543}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.37749182030516204}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA1\", \"shift\": -2.4169450838810973}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": -1.863765983472691}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": -1.2335334170735839}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.5398007162264338}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA1\", \"shift\": -1.72514827675321}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": -1.4823385147046428}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": -0.25925324986231774}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.5138763025821415}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA1\", \"shift\": -0.0014401783704398596}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": -0.955720516102089}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": -0.044247657815082886}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA1\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": -2.152175826713231}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": -0.3251475062172925}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": 0.6779073970033447}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": -0.540032960407961}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": -2.062771643382532}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": -0.29739406372919497}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": 0.6337959323301023}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": -0.5035298793492327}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": -1.62665319978055}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": -0.16354046323584281}, {\"dataset_name\": \"Replicate 1\", 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\"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": -0.19225758507253}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 1\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": 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\"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": -0.974690845384697}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": 0.05188026480471519}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": -1.6558812846005986}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.22202801960328228}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": -0.828577095112501}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-06, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0894475656844711}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": -1.271133640990362}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.19568195576510802}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": -0.0012013612985955283}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 1e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": -0.030181257393901983}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": -0.4274044094104843}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 5e-05, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.0001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"A846N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"D568N\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N1173K\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}, {\"dataset_name\": \"Replicate 2\", \"scale_coeff_lasso_shift\": 0.001, \"mut_type\": \"nonsynonymous\", \"mutation\": \"N542D\", \"condition\": \"Omicron_BA2\", \"shift\": 0.0}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
       ],
       "text/plain": [
        "alt.FacetChart(...)"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/pyproject.toml b/pyproject.toml
index 3a4852d..03e97dc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,7 +22,8 @@ classifiers = [
     "Programming Language :: Python :: 3.9",
 ]
 keywords = [
-    "multidms", 
+    "multidms",
+    "generalized lasso",
     "deep", 
     "mutational", 
     "scanning", 
@@ -36,10 +37,10 @@ keywords = [
 requires-python = ">=3.9"
 dependencies = [
     "polyclonal",
-    "jax[cpu]==0.4.24",
+    "jax[cpu]>=0.4.29",
     "jaxopt",
     "typing_extensions",
-    "numpy",
+    "numpy<=1.26.0",
     "pandas>=2.2.0",
     "binarymap",
     "altair==5.1.2", # pandas convert_dtypes bug
diff --git a/tests/test_data.py b/tests/test_data.py
index 143a37f..7e39f1e 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -205,6 +205,19 @@ def test_single_mut_encodings():
     )
 
 
+def test_plotting_fxns():
+    """Test that the plotting functions work"""
+    Data = multidms.Data(
+        TEST_FUNC_SCORES,
+        alphabet=multidms.AAS_WITHSTOP,
+        reference="a",
+        assert_site_integrity=False,
+    )
+
+    Data.plot_times_seen_hist(show=False)
+    Data.plot_func_score_boxplot(show=False)
+
+
 r"""
 +++++++++++++++++++++++++++++
 UTILS
@@ -270,6 +283,13 @@ def test_linear_model_fit_simple():
     model = multidms.Model(data, multidms.biophysical.identity_activation, PRNGKey=23)
     model.fit(maxiter=2, warn_unconverged=False)
 
+    # test all plotting fxn's
+    model.plot_pred_accuracy(show=False)
+    model.plot_epistasis(show=False)
+    model.plot_param_hist("beta_a", show=False)
+    model.plot_param_heatmap("beta_a", show=False)
+    _ = model.mut_param_heatmap("beta")
+
 
 def test_linear_model_multi_cond_fit_simple():
     """
@@ -283,9 +303,16 @@ def test_linear_model_multi_cond_fit_simple():
         assert_site_integrity=False,
     )
     model = multidms.Model(data, multidms.biophysical.identity_activation, PRNGKey=23)
-
     model.fit(maxiter=2, warn_unconverged=False)
 
+    # test all plotting fxn's
+    model.plot_pred_accuracy(show=False)
+    model.plot_epistasis(show=False)
+    model.plot_param_hist("shift_b", show=False)
+    model.plot_param_heatmap("shift_b", show=False)
+    model.plot_shifts_by_site("b", show=False)
+    _ = model.mut_param_heatmap("shift")
+
 
 def test_fit_simple():
     """
@@ -303,6 +330,13 @@ def test_fit_simple():
     model.fit(maxiter=2, warn_unconverged=False)
     assert loss != model.loss
 
+    # test all plotting fxn's
+    model.plot_pred_accuracy(show=False)
+    model.plot_epistasis(show=False)
+    model.plot_param_hist("beta_a", show=False)
+    model.plot_param_heatmap("beta_a", show=False)
+    _ = model.mut_param_heatmap("beta")
+
 
 def test_multi_cond_fit_simple():
     """
@@ -316,9 +350,16 @@ def test_multi_cond_fit_simple():
         assert_site_integrity=False,
     )
     model = multidms.Model(data, PRNGKey=23)
-
     model.fit(maxiter=2, warn_unconverged=False)
 
+    # test all plotting fxn's
+    model.plot_pred_accuracy(show=False)
+    model.plot_epistasis(show=False)
+    model.plot_param_hist("shift_b", show=False)
+    model.plot_param_heatmap("shift_b", show=False)
+    model.plot_shifts_by_site("b", show=False)
+    _ = model.mut_param_heatmap()
+
 
 def test_scaled_predictions():
     """