[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

setup.cfg

@@ -5,20 +5,15 @@ long_description = file: README.rst
 long_description_content_type = text/x-rst
 author = Janos Gabler, Tobias Raabe, Klara Röhrl
 license = MIT
-license_file = LICENSE
+license_files = LICENSE
 classifiers =
  License :: OSI Approved :: MIT License
  Programming Language :: Python :: 3
  Programming Language :: Python :: 3 :: Only
- Programming Language :: Python :: 3.6
- Programming Language :: Python :: 3.7
- Programming Language :: Python :: 3.8
- Programming Language :: Python :: 3.9
- Programming Language :: Python :: 3.10
 
 [options]
 packages = find:
-python_requires = >=3.6.1
+python_requires = >=3.8
 include_package_data = True
 package_dir =
  = .

src/config.py

@@ -6,6 +6,7 @@
 REMOVE EVERYTHING THAT IMPORTS THE VARIABLE YOU CHANGED.
 
 """
+
 import warnings
 from pathlib import Path
 

src/contact_models/task_create_contact_params.py

@@ -351,7 +351,7 @@ def measure_of_diff_btw_distributions(params, old_distribution, desired_total):
  """
  assert (params.index == old_distribution.index).all()
  params_deviation = params["value"].to_numpy() - old_distribution.to_numpy()
- params_penalty = (params_deviation ** 2).sum()
+ params_penalty = (params_deviation**2).sum()
  actual_total = params.index.to_numpy() @ params["value"].to_numpy()
  total_contacts_penalty = (desired_total - actual_total) ** 2
  cost = total_contacts_penalty + params_penalty

src/create_initial_states/create_contact_model_group_ids.py

@@ -93,9 +93,9 @@ class with 23 individuals of the same age. Classes meet their peers and 3 pairs
  df[educ_group_cols] = df[educ_group_cols].astype("category")
 
  # the stays_home_when_schools_close variable is not used yet.
- df[
- "stays_home_when_schools_close"
- ] = _identify_adult_staying_home_when_schools_close(df)
+ df["stays_home_when_schools_close"] = (
+ _identify_adult_staying_home_when_schools_close(df)
+ )
 
  df = df.drop(columns=["pos_in_group", "one", "group_size"])
  return df

src/create_initial_states/create_group_transition_probs.py

@@ -3,6 +3,7 @@
 This module is copied from sid commit 206886a14eeb3257deb71db91aba4e7fb2385fc2.
 
 """
+
 import string
 
 import numpy as np

src/create_initial_states/create_vaccination_priority.py

@@ -91,6 +91,7 @@
 - shares of each group: https://bit.ly/3cb5uUQ
 
 """
+
 import numpy as np
 import pandas as pd
 

src/create_initial_states/task_build_full_params.py

@@ -368,9 +368,9 @@ def _add_rapid_test_reaction_params(params):
 
  """
  params = params.copy(deep=True)
- params.loc[
- ("rapid_test_demand", "reaction", "hh_contacts_multiplier"), "value"
- ] = 0.7
+ params.loc[("rapid_test_demand", "reaction", "hh_contacts_multiplier"), "value"] = (
+ 0.7
+ )
  params.loc[
  ("rapid_test_demand", "reaction", "not_hh_contacts_multiplier"), "value"
  ] = 0.15

src/create_initial_states/task_create_background_characteristics.py

@@ -1,4 +1,5 @@
 """Create a synthetic population that is representative of Germany."""
+
 from pathlib import Path
 
 import numpy as np

src/plotting/task_plot_decomposition.py

@@ -1,4 +1,5 @@
 """This module holds the code to compute marginal contributions and shapley values."""
+
 from typing import Dict
 
 import matplotlib

src/plotting/task_plot_incidences_by_group.py

@@ -1,4 +1,5 @@
 """For each available scenario plot the incidences in each of the age groups."""
+
 import matplotlib.pyplot as plt
 import pandas as pd
 import pytask

src/plotting/task_plot_share_known_cases.py

@@ -1,4 +1,5 @@
 """Create plots, illustrating the share known cases over time."""
+
 import matplotlib.pyplot as plt
 import pandas as pd
 import pytask

src/policies/domain_level_policy_blocks.py

@@ -15,6 +15,7 @@
 The functions here expect that the domain names are part of contact model names.
 
 """
+
 from functools import partial
 
 from src.policies.single_policy_functions import mixed_educ_policy

src/policies/policy_tools.py

@@ -1,4 +1,5 @@
 """Tools to work with policy dictionaries without accidentally modifying them."""
+
 import itertools
 
 import pandas as pd

src/policies/single_policy_functions.py

@@ -12,6 +12,7 @@
 All other arguments must be documented.
 
 """
+
 import numpy as np
 import pandas as pd
 from scipy.interpolate import interp1d

src/policies/task_create_work_multiplier_series.py

@@ -8,6 +8,7 @@
  people still go to work.
 
 """
+
 import warnings
 from zipfile import ZipFile
 

src/prepare_data/task_prepare_rki_data.py

@@ -13,6 +13,7 @@
 - https://covid19-de-stats.sourceforge.io/rki-fall-tabelle.html
 
 """
+
 from datetime import datetime
 from datetime import timedelta
 

src/simulation/scenario_simulation_inputs.py

@@ -9,6 +9,7 @@
  - rapid_test_reaction_models
 
 """
+
 from functools import partial
 
 import pandas as pd

src/testing/rapid_tests.py

@@ -1,4 +1,5 @@
 """Functions for rapid tests."""
+
 import warnings
 
 import numpy as np

src/testing/testing_models.py

@@ -1,4 +1,5 @@
 """PCR testing model for sid."""
+
 import warnings
 
 import numpy as np