From b78659c6f45e254120d4f3b9350c970c3a660f7c Mon Sep 17 00:00:00 2001 From: Gregory Glickert Date: Tue, 19 Nov 2024 18:45:31 -0600 Subject: [PATCH] new parallel runner --- bmtool/SLURM.py | 93 +- bmtool/bmplot.py | 181 +- examples/single_cell/386049446_fit.json | 145 - ...1-Cre_Ai14-177334.05.01.01_491459171_m.swc | 2057 ------------ ...i14-177334.05.01.01_491459171_marker_m.swc | 13 - examples/single_cell/README | 1 + examples/single_cell/ephys_sweeps.json | 2930 +++++++++++++++++ examples/single_cell/fit_parameters.json | 297 ++ examples/single_cell/manifest.json | 308 +- examples/single_cell/model_metadata.json | 143 + examples/single_cell/reconstruction.marker | 9 + examples/single_cell/reconstruction.swc | 1722 ++++++++++ .../single_cell/singleCellTutorial1.ipynb | 188 +- examples/single_cell/x86_64/special.nrn | Bin 3900 -> 22896 bytes 14 files changed, 5720 insertions(+), 2367 deletions(-) delete mode 100644 examples/single_cell/386049446_fit.json delete mode 100644 examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_m.swc delete mode 100644 examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_marker_m.swc create mode 100644 examples/single_cell/README create mode 100644 examples/single_cell/ephys_sweeps.json create mode 100644 examples/single_cell/fit_parameters.json create mode 100644 examples/single_cell/model_metadata.json create mode 100644 examples/single_cell/reconstruction.marker create mode 100644 examples/single_cell/reconstruction.swc diff --git a/bmtool/SLURM.py b/bmtool/SLURM.py index f524488..baafbf2 100644 --- a/bmtool/SLURM.py +++ b/bmtool/SLURM.py @@ -3,6 +3,7 @@ import subprocess import json import requests +import shutil def check_job_status(job_id): @@ -106,7 +107,6 @@ def edit_json(self, new_value): print(f"JSON file '{self.json_file_path}' modified successfully with {self.param_name}={new_value}.", flush=True) - def change_json_file_path(self,new_json_file_path): self.json_file_path = new_json_file_path @@ -156,8 +156,7 @@ def edit_all_jsons(self, new_value): class SimulationBlock: - def __init__(self, block_name, time, partition, nodes, ntasks, mem, simulation_cases, output_base_dir,account=None,additional_commands=None, - status_list = ['COMPLETED', 'FAILED', 'CANCELLED']): + def __init__(self, block_name, time, partition, nodes, ntasks, mem, simulation_cases, output_base_dir,account=None,additional_commands=None,status_list = ['COMPLETED', 'FAILED', 'CANCELLED'],component_path=None): """ Initializes the SimulationBlock instance. @@ -187,6 +186,7 @@ def __init__(self, block_name, time, partition, nodes, ntasks, mem, simulation_c self.additional_commands = additional_commands if additional_commands is not None else [] self.status_list = status_list self.job_ids = [] + self.component_path = component_path def create_batch_script(self, case_name, command): """ @@ -207,6 +207,8 @@ def create_batch_script(self, case_name, command): additional_commands_str = "\n".join(self.additional_commands) # Conditional account linegit account_line = f"#SBATCH --account={self.account}\n" if self.account else "" + env_var_component_path = f"export COMPONENT_PATH={self.component_path}" if self.component_path else "" + # Write the batch script to the file with open(batch_script_path, 'w') as script_file: @@ -224,6 +226,9 @@ def create_batch_script(self, case_name, command): # Additional user-defined commands {additional_commands_str} +#enviroment vars +{env_var_component_path} + export OUTPUT_DIR={case_output_dir} {command} @@ -272,7 +277,6 @@ def check_block_completed(self): return False return True - def check_block_running(self): """checks if a job is running @@ -284,9 +288,21 @@ def check_block_running(self): if status != 'RUNNING': # return False return True + + def check_block_submited(self): + """checks if a job is running + Returns: + bool: True if jobs are RUNNING false if anything else + """ + for job_id in self.job_ids: + status = check_job_status(job_id) + if status != 'PENDING': # + return False + return True -class SequentialBlockRunner: + +class BlockRunner: """ Class to handle submitting multiple blocks sequentially. @@ -297,17 +313,23 @@ class SequentialBlockRunner: webhook (str): a microsoft webhook for teams. When used will send teams messages to the hook! """ - def __init__(self, blocks, json_editor=None, param_values=None, check_interval=200,webhook=None): + def __init__(self, blocks, json_editor=None,json_file_path=None, param_name=None, + param_values=None, check_interval=60,syn_dict_list = None, + webhook=None): self.blocks = blocks self.json_editor = json_editor self.param_values = param_values self.check_interval = check_interval self.webhook = webhook + self.param_name = param_name + self.json_file_path = json_file_path + self.syn_dict_list = syn_dict_list def submit_blocks_sequentially(self): """ - Submits all blocks sequentially, ensuring each block starts only after the previous block has completed. + Submits all blocks sequentially, ensuring each block starts only after the previous block has completed or is running. Updates the JSON file with new parameters before each block run. + json file path should be the path WITH the components folder """ for i, block in enumerate(self.blocks): # Update JSON file with new parameter value @@ -317,15 +339,14 @@ def submit_blocks_sequentially(self): if len(self.blocks) != len(self.param_values): raise Exception("Number of blocks needs to each number of params given") new_value = self.param_values[i] - # NGL didnt test the multi but should work - if isinstance(self.json_editor, multiSeedSweep): - self.json_editor.edit_all_jsons(new_value) - elif isinstance(self.json_editor,seedSweep): - print(f"Updating JSON file with parameter value for block: {block.block_name}", flush=True) - self.json_editor.edit_json(new_value) - else: - raise Exception("json editor provided but not a seedSweep class not sure what your doing?!?") + if self.syn_dict_list == None: + json_editor = seedSweep(self.json_file_path, self.param_name) + json_editor.edit_json(new_value) + else: + json_editor = multiSeedSweep(self.json_file_path,self.param_name, + self.syn_dict_list,base_ratio=1) + json_editor.edit_all_jsons(new_value) # Submit the block print(f"Submitting block: {block.block_name}", flush=True) @@ -335,7 +356,7 @@ def submit_blocks_sequentially(self): send_teams_message(self.webhook,message) # Wait for the block to complete - if i == len(self.blocks) - 1: # Corrected index to check the last block + if i == len(self.blocks) - 1: while not block.check_block_completed(): print(f"Waiting for the last block {i} to complete...") time.sleep(self.check_interval) @@ -350,3 +371,43 @@ def submit_blocks_sequentially(self): message = "SIMULATION UPDATE: Simulation are Done!" send_teams_message(self.webhook,message) + def submit_blocks_parallel(self): + """ + submits all the blocks at once onto the queue. To do this the components dir will be cloned and each block will have its own. + Also the json_file_path should be the path after the components dir + """ + if self.webhook: + message = "SIMULATION UPDATE: Simulations have been submited in parallel!" + send_teams_message(self.webhook,message) + for i, block in enumerate(self.blocks): + if block.component_path == None: + raise Exception("Unable to use parallel submitter without defining the component path") + new_value = self.param_values[i] + + source_dir = block.component_path + destination_dir = f"{source_dir}{i+1}" + block.component_path = destination_dir + + shutil.copytree(source_dir, destination_dir) # create new components folder + json_file_path = os.path.join(destination_dir,self.json_file_path) + if self.syn_dict_list == None: + json_editor = seedSweep(json_file_path, self.param_name) + json_editor.edit_json(new_value) + else: + json_editor = multiSeedSweep(json_file_path,self.param_name, + self.syn_dict_list,base_ratio=1) + json_editor.edit_all_jsons(new_value) + + # submit block with new component path + print(f"Submitting block: {block.block_name}", flush=True) + block.submit_block() + if i == len(self.blocks) - 1: + while not block.check_block_completed(): + print(f"Waiting for the last block {i} to complete...") + time.sleep(self.check_interval) + + if self.webhook: + message = "SIMULATION UPDATE: Simulations are Done!" + send_teams_message(self.webhook,message) + + diff --git a/bmtool/bmplot.py b/bmtool/bmplot.py index 7fc8bfb..43bab14 100644 --- a/bmtool/bmplot.py +++ b/bmtool/bmplot.py @@ -306,46 +306,47 @@ def gap_junction_matrix(config=None,title=None,sources=None, targets=None, sids= def filter_rows(syn_info, data, source_labels, target_labels): - new_syn_info = syn_info - new_data = data - new_source_labels = source_labels - new_target_labels = target_labels - for row in new_data: - row_index = -1 - try: - if((np.isnan(row).all())): #checks if all of a row is nan - row_index = np.where(np.isnan(new_data)==np.isnan(row))[0][0] - except: - row_index = -1 - finally: - if(all(x==0 for x in row)): #checks if all of a row is zeroes - row_index = np.where(new_data==row)[0][0] - if row_index!=-1: #deletes corresponding row accordingly in all relevant variables. - new_syn_info = np.delete(new_syn_info,row_index,0) - new_data = np.delete(new_data,row_index,0) - new_source_labels = np.delete(new_source_labels,row_index) - return new_syn_info, new_data,new_source_labels,new_target_labels - - def filter_rows_and_columns(syn_info,data,source_labels,target_labels): + # Identify rows with all NaN or all zeros + valid_rows = ~np.all(np.isnan(data), axis=1) & ~np.all(data == 0, axis=1) + + # Filter rows based on valid_rows mask + new_syn_info = syn_info[valid_rows] + new_data = data[valid_rows] + new_source_labels = np.array(source_labels)[valid_rows] + + return new_syn_info, new_data, new_source_labels, target_labels + + def filter_rows_and_columns(syn_info, data, source_labels, target_labels): + # Filter rows first syn_info, data, source_labels, target_labels = filter_rows(syn_info, data, source_labels, target_labels) - transposed_syn_info = np.transpose(syn_info) #transpose everything and put it in to make sure columns get filtered + + # Transpose data to filter columns + transposed_syn_info = np.transpose(syn_info) transposed_data = np.transpose(data) transposed_source_labels = target_labels transposed_target_labels = source_labels - syn_info, data, source_labels, target_labels = filter_rows(transposed_syn_info, transposed_data, transposed_source_labels, transposed_target_labels) - filtered_syn_info = np.transpose(syn_info) #transpose everything back to original order after filtering. - filtered_data = np.transpose(data) - filtered_source_labels = target_labels - filtered_target_labels = source_labels - return filtered_syn_info,filtered_data,filtered_source_labels,filtered_target_labels + + # Filter columns (by treating them as rows in transposed data) + transposed_syn_info, transposed_data, transposed_source_labels, transposed_target_labels = filter_rows( + transposed_syn_info, transposed_data, transposed_source_labels, transposed_target_labels + ) + + # Transpose back to original orientation + filtered_syn_info = np.transpose(transposed_syn_info) + filtered_data = np.transpose(transposed_data) + filtered_source_labels = transposed_target_labels # Back to original source_labels + filtered_target_labels = transposed_source_labels # Back to original target_labels + + return filtered_syn_info, filtered_data, filtered_source_labels, filtered_target_labels + syn_info, data, source_labels, target_labels = filter_rows_and_columns(syn_info, data, source_labels, target_labels) if title == None or title=="": title = 'Gap Junction' - if type == 'convergence': + if method == 'convergence': title+=' Syn Convergence' - elif type == 'percent': + elif method == 'percent': title+=' Percent Connectivity' plot_connection_info(syn_info,data,source_labels,target_labels,title, save_file=save_file) return @@ -535,35 +536,42 @@ def edge_histogram_matrix(config=None,sources = None,targets=None,sids=None,tids fig.text(0.04, 0.5, 'Source', va='center', rotation='vertical') plt.draw() -def plot_connection_info(text, num, source_labels,target_labels, title, syn_info='0', save_file=None,return_dict=None): +def plot_connection_info(text, num, source_labels, target_labels, title, syn_info='0', save_file=None, return_dict=None): """ - write about function here + Function to plot connection information as a heatmap, including handling missing source and target values. + If there is no source or target, set the value to 0. """ - #num = pd.DataFrame(num).fillna('nc').to_numpy() # replace nan with nc * does not work with imshow + # Ensure text dimensions match num dimensions + num_source = len(source_labels) + num_target = len(target_labels) - num_source=len(source_labels) - num_target=len(target_labels) + # Set color map matplotlib.rc('image', cmap='viridis') - fig1, ax1 = plt.subplots(figsize=(num_source,num_target)) + # Create figure and axis for the plot + fig1, ax1 = plt.subplots(figsize=(num_source, num_target)) + num = np.nan_to_num(num, nan=0) # replace NaN with 0 im1 = ax1.imshow(num) - #fig.colorbar(im, ax=ax,shrink=0.4) - # We want to show all ticks... + + # Set ticks and labels for source and target ax1.set_xticks(list(np.arange(len(target_labels)))) ax1.set_yticks(list(np.arange(len(source_labels)))) - # ... and label them with the respective list entries ax1.set_xticklabels(target_labels) - ax1.set_yticklabels(source_labels,size=12, weight = 'semibold') - # Rotate the tick labels and set their alignment. + ax1.set_yticklabels(source_labels, size=12, weight='semibold') + + # Rotate the tick labels for better visibility plt.setp(ax1.get_xticklabels(), rotation=45, ha="right", - rotation_mode="anchor", size=12, weight = 'semibold') + rotation_mode="anchor", size=12, weight='semibold') + # Dictionary to store connection information graph_dict = {} - # Loop over data dimensions and create text annotations. + + # Loop over data dimensions and create text annotations for i in range(num_source): for j in range(num_target): - edge_info = text[i, j] + # Get the edge info, or set it to '0' if it's missing + edge_info = text[i, j] if text[i, j] is not None else 0 # Initialize the dictionary for the source node if not already done if source_labels[i] not in graph_dict: @@ -571,35 +579,41 @@ def plot_connection_info(text, num, source_labels,target_labels, title, syn_info # Add edge info for the target node graph_dict[source_labels[i]][target_labels[j]] = edge_info - if syn_info =='2' or syn_info =='3': - if num_source > 8 and num_source <20: + + # Set text annotations based on syn_info type + if syn_info == '2' or syn_info == '3': + if num_source > 8 and num_source < 20: fig_text = ax1.text(j, i, edge_info, - ha="center", va="center", color="w",rotation=37.5, size=8, weight = 'semi\bold') + ha="center", va="center", color="w", rotation=37.5, size=8, weight='semibold') elif num_source > 20: fig_text = ax1.text(j, i, edge_info, - ha="center", va="center", color="w",rotation=37.5, size=7, weight = 'semibold') + ha="center", va="center", color="w", rotation=37.5, size=7, weight='semibold') else: fig_text = ax1.text(j, i, edge_info, - ha="center", va="center", color="w",rotation=37.5, size=11, weight = 'semibold') + ha="center", va="center", color="w", rotation=37.5, size=11, weight='semibold') else: fig_text = ax1.text(j, i, edge_info, - ha="center", va="center", color="w", size=11, weight = 'semibold') - - ax1.set_ylabel('Source', size=11, weight = 'semibold') - ax1.set_xlabel('Target', size=11, weight = 'semibold') - ax1.set_title(title,size=20, weight = 'semibold') - #plt.tight_layout() - notebook = is_notebook() + ha="center", va="center", color="w", size=11, weight='semibold') + + # Set labels and title for the plot + ax1.set_ylabel('Source', size=11, weight='semibold') + ax1.set_xlabel('Target', size=11, weight='semibold') + ax1.set_title(title, size=20, weight='semibold') + + # Display the plot or save it based on the environment and arguments + notebook = is_notebook() # Check if running in a Jupyter notebook if notebook == False: fig1.show() + if save_file: plt.savefig(save_file) + if return_dict: return graph_dict else: return -def connector_percent_matrix(csv_path: str = None, exclude_strings=None, title: str = 'Percent connection matrix', pop_order=None) -> None: +def connector_percent_matrix(csv_path: str = None, exclude_strings=None, assemb_key=None, title: str = 'Percent connection matrix', pop_order=None) -> None: """ Generates and plots a connection matrix based on connection probabilities from a CSV file produced by bmtool.connector. @@ -633,6 +647,7 @@ def connector_percent_matrix(csv_path: str = None, exclude_strings=None, title: # Filter the DataFrame based on exclude_strings def filter_dataframe(df, column_name, exclude_strings): def process_string(string): + match = re.search(r"\[\'(.*?)\'\]", string) if exclude_strings and any(ex_string in string for ex_string in exclude_strings): return None @@ -640,17 +655,55 @@ def process_string(string): filtered_string = match.group(1) if 'Gap' in string: filtered_string = filtered_string + "-Gap" + if assemb_key in string: + filtered_string = filtered_string + assemb_key return filtered_string # Return matched string return string # If no match, return the original string - + df[column_name] = df[column_name].apply(process_string) df = df.dropna(subset=[column_name]) + return df df = filter_dataframe(df, 'Source', exclude_strings) df = filter_dataframe(df, 'Target', exclude_strings) + + #process assem rows and combine them into one prob per assem type + assems = df[df['Source'].str.contains(assemb_key)] + unique_sources = assems['Source'].unique() + for source in unique_sources: + source_assems = assems[assems['Source'] == source] + unique_targets = source_assems['Target'].unique() # Filter targets for the current source + + for target in unique_targets: + # Filter the assemblies with the current source and target + unique_assems = source_assems[source_assems['Target'] == target] + + # find the prob of a conn + forward_probs = [] + for _,row in unique_assems.iterrows(): + selected_percentage = row[selected_column] + selected_percentage = [float(p) for p in selected_percentage.strip('[]').split()] + if len(selected_percentage) == 1 or len(selected_percentage) == 2: + forward_probs.append(selected_percentage[0]) + if len(selected_percentage) == 3: + forward_probs.append(selected_percentage[0]) + forward_probs.append(selected_percentage[1]) + + mean_probs = np.mean(forward_probs) + source = source.replace(assemb_key, "") + target = target.replace(assemb_key, "") + new_row = pd.DataFrame({ + 'Source': [source], + 'Target': [target], + 'Percent connectionivity within possible connections': [mean_probs], + 'Percent connectionivity within all connections': [0] + }) + + df = pd.concat([df, new_row], ignore_index=False) + # Prepare connection data connection_data = {} for _, row in df.iterrows(): @@ -671,14 +724,18 @@ def process_string(string): if source in populations and target in populations: source_idx = populations.index(source) target_idx = populations.index(target) - connection_matrix[source_idx][target_idx] = probabilities[0] - if len(probabilities) == 1: + + if type(probabilities) == float: + connection_matrix[source_idx][target_idx] = probabilities + elif len(probabilities) == 1: connection_matrix[source_idx][target_idx] = probabilities[0] - if len(probabilities) == 2: + elif len(probabilities) == 2: connection_matrix[source_idx][target_idx] = probabilities[0] - if len(probabilities) == 3: + elif len(probabilities) == 3: connection_matrix[source_idx][target_idx] = probabilities[0] connection_matrix[target_idx][source_idx] = probabilities[1] + else: + raise Exception("unsupported format") # Plotting fig, ax = plt.subplots(figsize=(10, 8)) diff --git a/examples/single_cell/386049446_fit.json b/examples/single_cell/386049446_fit.json deleted file mode 100644 index 326ee5e..0000000 --- a/examples/single_cell/386049446_fit.json +++ /dev/null @@ -1,145 +0,0 @@ -{ - "passive": [ - { - "ra": 79.9493434509, - "cm": [ - { - "section": "soma", - "cm": 1.0 - }, - { - "section": "axon", - "cm": 1.0 - }, - { - "section": "dend", - "cm": 7.026107672909459 - }, - { - "section": "apic", - "cm": 7.026107672909459 - } - ], - "e_pas": -99.73164367675781 - } - ], - "fitting": [ - { - "junction_potential": -14.0, - "sweeps": [ - 35 - ] - } - ], - "conditions": [ - { - "celsius": 34.0, - "erev": [ - { - "ena": 53.0, - "section": "soma", - "ek": -107.0 - } - ], - "v_init": -99.73164367675781 - } - ], - "genome": [ - { - "section": "soma", - "name": "gbar_Im", - "value": 0.0072542922510378935, - "mechanism": "Im" - }, - { - "section": "soma", - "name": "gbar_Ih", - "value": 2.0724144681988357e-06, - "mechanism": "Ih" - }, - { - "section": "soma", - "name": "gbar_NaTs", - "value": 0.5459445571987388, - "mechanism": "NaTs" - }, - { - "section": "soma", - "name": "gbar_Nap", - "value": 0.0013995213534577413, - "mechanism": "Nap" - }, - { - "section": "soma", - "name": "gbar_K_P", - "value": 0.030706001493332663, - "mechanism": "K_P" - }, - { - "section": "soma", - "name": "gbar_K_T", - "value": 0.00017661133926769827, - "mechanism": "K_T" - }, - { - "section": "soma", - "name": "gbar_SK", - "value": 0.00040882303641811332, - "mechanism": "SK" - }, - { - "section": "soma", - "name": "gbar_Kv3_1", - "value": 0.15353463627045882, - "mechanism": "Kv3_1" - }, - { - "section": "soma", - "name": "gbar_Ca_HVA", - "value": 0.00021022546615679283, - "mechanism": "Ca_HVA" - }, - { - "section": "soma", - "name": "gbar_Ca_LVA", - "value": 5.9716218281113955e-06, - "mechanism": "Ca_LVA" - }, - { - "section": "soma", - "name": "gamma_CaDynamics", - "value": 0.031979282594100863, - "mechanism": "CaDynamics" - }, - { - "section": "soma", - "name": "decay_CaDynamics", - "value": 262.08498432363001, - "mechanism": "CaDynamics" - }, - { - "section": "soma", - "name": "g_pas", - "value": 0.00027723172826344273, - "mechanism": "" - }, - { - "section": "axon", - "name": "g_pas", - "value": 0.00055299448569759825, - "mechanism": "" - }, - { - "section": "dend", - "name": "g_pas", - "value": 3.0586536625559199e-06, - "mechanism": "" - }, - { - "section": "apic", - "name": "g_pas", - "value": 0.00012512712410094184, - "mechanism": "" - } - ] -} \ No newline at end of file diff --git a/examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_m.swc b/examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_m.swc deleted file mode 100644 index a37d30d..0000000 --- a/examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_m.swc +++ /dev/null @@ -1,2057 +0,0 @@ -# generated by Vaa3D Plugin sort_neuron_swc -# source file(s): C:/Users/alexh/Desktop/New folder/Nr5a1-Cre_Ai14-177334.05.01.01_471120787_p.swc.out.swc_sorted.swc_pruned.swc_sorted.swc_resampled.swc_sorted.swc_pruned.swc_sorted.swc_Z_T10.swc -# id,type,x,y,z,r,pid -1 1 450.8504 404.7472 27.44 4.9615 -1 -2 4 451.2783 400.0717 26.9321 0.1931 1 -3 4 451.2874 398.9288 26.7538 0.2036 2 -4 4 451.2634 397.7848 26.6286 0.2862 3 -5 4 451.0609 396.6591 26.5578 0.2873 4 -6 4 450.9694 395.5186 26.5427 0.351 5 -7 4 451.2394 394.4077 26.584 0.3861 6 -8 4 451.586 393.3175 26.6834 0.4054 7 -9 4 452.2507 392.3874 26.8204 0.43 8 -10 4 453.0103 391.55 27.0408 0.3015 9 -11 4 453.6177 390.6119 27.3482 0.2252 10 -12 4 453.9918 389.5492 27.6912 0.2005 11 -13 4 454.1097 388.4406 28.063 0.2774 12 -14 4 454.414 387.3504 28.4012 0.2838 13 -15 4 454.8189 386.3162 28.728 0.2759 14 -16 4 454.9596 385.1814 28.9369 0.24 15 -17 4 454.9608 384.1106 28.8907 0.2763 16 -18 4 454.9127 382.9689 28.782 0.2999 17 -19 4 454.6164 381.8649 28.6583 0.4438 18 -20 4 454.2149 380.7953 28.532 0.4517 19 -21 4 454.2332 379.6913 28.3475 0.4675 20 -22 4 454.8521 378.7315 28.2386 0.3752 21 -23 4 455.5294 377.8106 28.2422 0.4512 22 -24 4 456.1963 376.8908 28.3564 0.4213 23 -25 4 456.8587 375.8681 28.7538 0.3943 24 -26 4 457.1664 374.9105 29.1592 0.3214 25 -27 4 457.2396 373.7768 29.5187 0.2982 26 -28 4 457.1813 372.658 29.6783 0.2763 27 -29 4 456.8976 371.5518 29.7276 0.3666 28 -30 4 456.7409 370.418 29.71 0.3558 29 -31 4 456.4663 369.3107 29.6341 0.4045 30 -32 4 456.3816 368.2056 29.489 0.2723 31 -33 4 456.5647 367.0787 29.3983 0.1945 32 -34 4 456.9056 365.9885 29.4188 0.1488 33 -35 4 457.3975 365.0321 29.6374 0.1591 34 -36 4 457.989 364.1409 30.0026 0.175 35 -37 4 458.466 363.1022 30.312 0.2209 36 -38 4 458.6845 361.9788 30.5749 0.2256 37 -39 4 459.0277 360.9137 30.8535 0.2816 38 -40 4 460.079 360.3177 33.0865 0.1546 39 -41 4 461.1956 360.4332 33.7697 0.1744 40 -42 4 462.1737 361.0189 34.0264 0.2045 41 -43 4 463.0683 361.6115 34.438 0.2709 42 -44 4 464.067 362.0954 34.9202 0.3422 43 -45 4 465.1218 362.5119 35.3956 0.3877 44 -46 4 465.9867 363.2074 35.8932 0.3225 45 -47 4 466.6891 364.0974 36.3406 0.2415 46 -48 4 467.2382 365.0653 36.7774 0.2296 47 -49 4 468.1156 365.7894 37.1353 0.2212 48 -50 4 469.1269 366.3248 37.4041 0.2585 49 -51 4 470.0902 366.9426 37.6079 0.2992 50 -52 4 470.994 367.6438 37.767 0.2853 51 -53 4 471.9206 368.3131 37.9126 0.2364 52 -54 4 472.79 369.0338 38.1122 0.257 53 -55 4 473.624 369.7888 38.3734 0.2118 54 -56 4 474.5781 370.4192 38.6204 0.1912 55 -57 4 475.5768 370.9752 38.8483 0.1885 56 -58 4 476.4474 371.7165 39.0751 0.2394 57 -59 4 477.3489 372.3857 39.3644 0.2914 58 -60 4 478.2343 373.0904 39.678 0.2515 59 -61 4 479.0878 373.8512 39.9669 0.2664 60 -62 4 480.0327 374.4964 40.2584 0.2057 61 -63 4 480.9193 375.1451 40.6451 0.1795 62 -64 4 481.64 376.0214 41.0351 0.1688 63 -65 4 482.0839 377.0361 41.4635 0.1939 64 -66 4 482.6959 377.9913 41.8662 0.2508 65 -67 4 483.4887 378.7773 42.2761 0.306 66 -68 4 484.3627 379.4968 42.6398 0.3094 67 -69 4 484.4565 379.8984 42.8946 0.284 68 -70 4 484.6579 381.0161 43.0713 0.2154 69 -71 4 484.5126 382.1498 43.1892 0.1636 70 -72 4 484.3284 383.2732 43.2762 0.1465 71 -73 4 484.4543 384.4046 43.3563 0.1543 72 -74 4 484.8444 385.4742 43.4608 0.169 73 -75 4 485.3271 386.5038 43.5851 0.1961 74 -76 4 485.6063 387.6044 43.7027 0.2469 75 -77 4 485.6303 388.7346 43.8477 0.2812 76 -78 4 485.6486 389.8775 43.9415 0.2476 77 -79 4 485.7378 391.0158 43.9799 0.1861 78 -80 4 486.0433 392.1094 43.9866 0.1502 79 -81 4 486.6073 393.1036 43.9776 0.1422 80 -82 4 487.1449 394.1011 43.916 0.1464 81 -83 4 487.4115 395.1994 43.8054 0.1543 82 -84 4 487.4859 396.3399 43.7161 0.1687 83 -85 4 487.5774 397.4759 43.6719 0.1969 84 -86 4 487.781 398.5993 43.6226 0.242 85 -87 4 488.0441 399.7125 43.5932 0.2163 86 -88 4 488.3473 400.8118 43.5635 0.2038 87 -89 4 488.7385 401.878 43.5151 0.1659 88 -90 4 489.155 402.9431 43.5039 0.1522 89 -91 4 489.5302 404.0173 43.5504 0.1466 90 -92 4 489.7155 405.1373 43.6582 0.1545 91 -93 4 489.751 406.2802 43.7822 0.1692 92 -94 4 489.7807 407.4219 43.9239 0.1973 93 -95 4 489.8837 408.5533 44.1062 0.2457 94 -96 4 490.0576 409.6813 44.2904 0.2711 95 -97 4 490.18 410.815 44.4727 0.2325 96 -98 4 490.1868 411.9498 44.679 0.2228 97 -99 4 490.0965 413.0824 44.886 0.2488 98 -100 4 490.0576 414.2115 45.0481 0.2311 99 -101 4 490.2406 415.3315 45.211 0.2309 100 -102 4 490.2566 416.4686 45.393 0.2119 101 -103 4 490.4019 417.6023 45.5678 0.1823 102 -104 4 490.6444 418.696 45.7876 0.1667 103 -105 4 491.1009 419.6878 46.1065 0.1772 104 -106 4 491.5368 420.69 46.468 0.2015 105 -107 4 491.7804 421.7848 46.7872 0.2022 106 -108 4 492.1236 422.8704 46.9988 0.211 107 -109 4 492.3467 423.9893 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445.8408 49.3559 0.1373 131 -133 4 504.3061 446.7091 49.6163 0.1373 132 -134 4 504.8163 447.7158 49.8848 0.1373 133 -135 4 505.052 448.7649 50.1642 0.1373 134 -136 4 504.6928 449.8139 50.5151 0.1373 135 -137 4 504.4685 450.9099 50.8553 0.1373 136 -138 4 504.1848 452.0093 51.1333 0.1373 137 -139 4 503.805 453.0526 51.4248 0.1373 138 -140 4 503.543 454.0879 51.7692 0.1373 139 -141 4 503.8805 455.1576 52.0346 0.1373 140 -142 4 504.266 456.2341 52.2357 0.1373 141 -143 4 504.6344 457.3163 52.397 0.1373 142 -144 4 504.8438 458.4397 52.5311 0.1373 143 -145 4 505.5702 459.2737 52.71 0.1373 144 -146 4 506.3573 460.0756 52.9312 0.1373 145 -147 4 507.2851 460.7105 53.1412 0.1373 146 -148 4 508.174 461.4095 53.307 0.1373 147 -149 4 509.0125 462.1817 53.4332 0.1373 148 -150 4 509.9357 462.8578 53.5268 0.1373 149 -151 4 510.7136 463.6918 53.5976 0.1373 150 -152 4 511.2536 464.6962 53.6654 0.1373 151 -153 4 511.5991 465.7865 53.7474 0.1373 152 -154 4 511.9389 466.879 53.8513 0.1373 153 -155 4 512.345 467.9166 54.0215 0.1373 154 -156 4 512.8609 468.8398 54.334 0.1373 155 -157 4 512.9639 469.9598 54.6168 0.1373 156 -158 4 513.5473 470.9265 54.8738 0.1373 157 -159 4 514.2738 471.7364 55.1522 0.1373 158 -160 4 514.4385 472.7351 55.5164 0.1373 159 -161 4 514.4465 473.8528 55.8183 0.1373 160 -162 4 514.8629 474.8504 56.1666 0.1373 161 -163 4 515.3182 475.8891 56.4295 0.1373 162 -164 4 515.6694 476.9668 56.5891 0.1373 163 -165 4 515.7758 478.1051 56.6577 0.1373 164 -166 4 515.9451 479.1324 56.572 0.1373 165 -167 4 516.357 480.0464 56.3371 0.1373 166 -168 4 516.7871 481.1069 56.1565 0.1373 167 -169 4 517.2218 482.1582 56.0843 0.1373 168 -170 4 517.6611 483.2062 56.1257 0.1373 169 -171 4 518.0993 484.2529 56.259 0.1373 170 -172 4 518.5866 485.2585 56.4617 0.1373 171 -173 4 519.5762 485.8339 56.6614 0.1373 172 -174 4 520.2798 486.5501 56.8375 0.1373 173 -175 4 520.5131 487.6575 56.9962 0.1373 174 -176 4 520.9822 488.6996 57.1508 0.1373 175 -177 4 521.6503 489.5702 57.4129 0.1373 176 -178 4 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268 -270 4 556.7894 398.3774 56.1196 0.1919 269 -271 4 557.7618 398.8922 55.9527 0.1553 270 -272 4 558.8177 399.1896 55.998 0.1397 271 -273 4 559.7684 399.7433 56.1988 0.1384 272 -274 4 560.7499 400.2948 56.4771 0.1393 273 -275 4 561.7372 400.8633 56.716 0.1411 274 -276 4 562.6547 401.5371 56.9604 0.1443 275 -277 4 563.5779 402.211 57.1505 0.1502 276 -278 4 564.4633 402.9282 57.3289 0.1625 277 -279 4 565.39 403.5849 57.4468 0.1799 278 -280 4 566.328 404.1958 57.6526 0.2407 279 -281 4 567.1426 404.9451 57.9508 0.2108 280 -282 4 568.0006 405.6418 58.3061 0.1995 281 -283 4 568.759 406.4941 58.6082 0.1402 282 -284 4 569.4832 407.3784 59.08 0.1144 283 -285 4 459.0895 359.2938 31.0111 0.2508 39 -286 4 458.8424 358.2013 31.1478 0.24 285 -287 4 458.4866 357.1339 31.2012 0.2422 286 -288 4 458.2612 356.0288 31.2096 0.2892 287 -289 4 458.2486 354.9066 31.2525 0.2976 288 -290 4 458.5209 353.8175 31.2738 0.2783 289 -291 4 459.0186 352.8085 31.2068 0.2709 290 -292 4 459.5116 351.8017 31.059 0.3195 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0.3845 314 -316 4 460.2037 324.9749 30.8753 0.3631 315 -317 4 460.3422 323.847 30.9193 0.3465 316 -318 4 460.6293 322.7407 30.9697 0.3977 317 -319 4 461.0068 321.6619 31.0372 0.4262 318 -320 4 461.5033 320.6335 31.129 0.4459 319 -321 4 462.0948 319.6576 31.2598 0.4086 320 -322 4 462.6611 318.6784 31.4552 0.3773 321 -323 4 463.0363 317.627 31.7131 0.3985 322 -324 4 463.1656 316.5173 32.0057 0.4182 323 -325 4 463.1004 315.3928 32.2952 0.5018 324 -326 4 462.7766 314.3129 32.5251 0.4959 325 -327 4 462.1611 313.361 32.6665 0.4305 326 -328 4 461.429 312.4836 32.716 0.3783 327 -329 4 460.8295 311.5272 32.6654 0.3602 328 -330 4 460.5675 310.4381 32.555 0.4537 329 -331 4 460.6659 309.3147 32.4685 0.5661 330 -332 4 461.0412 308.2439 32.4016 0.6012 331 -333 4 461.4747 307.1949 32.3014 0.6107 332 -334 4 461.6681 306.0864 32.1843 0.529 333 -335 4 461.5262 304.9629 32.0894 0.5208 334 -336 4 461.1899 303.8716 32.0202 0.5565 335 -337 4 460.8192 302.7893 31.9687 0.5409 336 -338 4 460.5687 301.6762 31.9374 0.5263 337 -339 4 460.5206 300.538 31.9295 0.4668 338 -340 4 460.6396 299.402 31.934 0.4363 339 -341 4 460.8215 298.2774 31.927 0.4565 340 -342 4 460.992 297.1551 31.9074 0.4608 341 -343 4 461.1819 296.034 31.9486 0.5131 342 -344 4 461.3489 294.9507 32.1384 0.5558 343 -345 4 461.4988 293.8604 32.4369 0.5329 344 -346 4 461.7756 292.7725 32.7636 0.4515 345 -347 4 462.2035 291.7269 33.0837 0.3512 346 -348 4 462.6862 290.695 33.332 0.3245 347 -349 4 463.0386 289.6208 33.4415 0.4017 348 -350 4 463.169 288.4974 33.4401 0.3937 349 -351 4 463.1255 287.3568 33.4057 0.4298 350 -352 4 462.9802 286.2277 33.4018 0.3834 351 -353 4 462.8555 285.0997 33.4499 0.4143 352 -354 4 462.9013 283.9637 33.4995 0.363 353 -355 4 463.1964 282.8769 33.4998 0.3603 354 -356 4 463.6037 281.8141 33.4771 0.3569 355 -357 4 463.9286 280.7193 33.4709 0.3972 356 -358 4 464.0922 279.5913 33.5087 0.4527 357 -359 4 464.1711 278.4622 33.6213 0.4671 358 -360 4 464.3073 277.3376 33.7994 0.4909 359 -361 4 464.4754 276.2085 33.9931 0.4433 360 -362 4 464.5647 275.0691 34.1684 0.3572 361 -363 4 464.5841 273.9262 34.3213 0.3241 362 -364 4 464.6104 272.7868 34.4756 0.4373 363 -365 4 464.7283 271.6634 34.6556 0.538 364 -366 4 464.9994 270.5629 34.8356 0.516 365 -367 4 465.3517 269.4761 34.9773 0.5188 366 -368 4 465.648 268.3721 35.0697 0.5631 367 -369 4 465.7178 267.235 35.1137 0.5775 368 -370 4 465.4456 266.1322 35.112 0.5719 369 -371 4 464.9342 265.114 35.0711 0.529 370 -372 4 464.3416 264.1393 34.9877 0.3985 371 -373 4 463.8943 263.104 34.8522 0.2673 372 -374 4 463.8199 261.9817 34.6984 0.2089 373 -375 4 464.1105 260.8835 34.5789 0.2265 374 -376 4 464.6093 259.8607 34.5313 0.3146 375 -377 4 465.1184 258.8506 34.5646 0.393 376 -378 4 465.505 257.781 34.6301 0.3756 377 -379 4 465.6412 256.653 34.645 0.3469 378 -380 4 465.5577 255.5261 34.5764 0.3632 379 -381 4 465.4387 254.3924 34.4683 0.3899 380 -382 4 465.2499 253.2656 34.3451 0.3966 381 -383 4 464.9857 252.1685 34.1872 0.4008 382 -384 4 464.7511 251.0657 34.0284 0.3209 383 -385 4 464.6596 249.9285 33.9458 0.2792 384 -386 4 464.7866 248.8063 34.0071 0.3619 385 -387 4 464.9582 247.7343 34.2404 0.3399 386 -388 4 465.0234 246.6315 34.564 0.2764 387 -389 4 465.0154 245.5081 34.9056 0.2736 388 -390 4 464.8919 244.3859 35.2167 0.2437 389 -391 4 464.5441 243.3002 35.418 0.254 390 -392 4 464.0476 242.3816 35.3396 0.2588 391 -393 4 463.6621 241.3108 35.2033 0.2603 392 -394 4 463.3875 240.2 35.0585 0.2912 393 -395 4 463.0706 239.1257 34.8317 0.439 394 -396 4 462.7045 238.0527 34.5965 0.5021 395 -397 4 462.2698 236.9956 34.4274 0.3901 396 -398 4 461.7436 235.9797 34.328 0.3775 397 -399 4 461.1201 235.0211 34.2625 0.3164 398 -400 4 460.6327 233.9858 34.2292 0.2754 399 -401 4 460.4726 232.8715 34.279 0.3041 400 -402 4 460.4589 231.7401 34.3501 0.3067 401 -403 4 460.4497 230.6098 34.2902 0.3303 402 -404 4 460.3925 229.4875 34.109 0.282 403 -405 4 460.0985 228.3836 33.8906 0.297 404 -406 4 459.8766 227.2853 33.5829 0.3882 405 -407 4 459.4281 226.2489 33.2349 0.5929 406 -408 4 458.5507 224.1588 32.8614 0.6494 407 -409 4 458.1743 223.1006 32.5125 0.5607 408 -410 4 457.8414 222.0058 32.2711 0.387 409 -411 4 457.7224 220.8709 32.1051 0.3391 410 -412 4 457.751 219.7681 31.9455 0.4063 411 -413 4 457.9729 218.6459 31.9273 0.3455 412 -414 4 458.2784 217.5888 32.1227 0.3326 413 -415 4 458.5244 216.1096 31.9172 0.9137 414 -416 4 458.2361 215.0034 31.9158 0.5311 415 -417 4 457.6538 214.0184 31.915 0.3457 416 -418 4 457.0658 213.038 31.9138 0.3076 417 -419 4 457.0406 211.894 31.9119 0.4722 418 -420 4 457.5268 210.8586 31.9088 0.5506 419 -421 4 457.9867 209.8107 31.9043 0.5386 420 -422 4 457.8299 208.4826 31.8973 0.1527 421 -423 4 457.2293 207.5376 31.71 0.2157 422 -424 4 456.4674 206.6991 31.6117 0.2188 423 -425 4 456.0808 205.6901 31.4712 0.1877 424 -426 4 456.2993 204.6136 31.3762 0.1698 425 -427 4 456.8164 203.6206 31.3813 0.179 426 -428 4 457.0795 202.5429 31.4146 0.2233 427 -429 4 456.9983 201.4115 31.4115 0.2566 428 -430 4 456.98 200.2869 31.3404 0.3293 429 -431 4 457.1195 199.1658 31.215 0.3686 430 -432 4 457.0658 198.0378 31.0867 0.3347 431 -433 4 456.6688 196.9774 30.9823 0.3283 432 -434 4 456.0773 195.9992 30.9168 0.3571 433 -435 4 455.5923 194.9696 30.8941 0.3177 434 -436 4 455.2594 193.8783 30.8966 0.265 435 -437 4 454.8361 192.8246 30.9047 0.2859 436 -438 4 454.3911 191.7882 30.9966 0.3254 437 -439 4 454.1165 190.7105 31.1968 0.3259 438 -440 4 454.0284 189.5825 31.4244 0.2516 439 -441 4 453.9163 188.4477 31.6565 0.1821 440 -442 4 453.6967 187.3678 31.9514 0.1502 441 -443 4 453.6017 186.2443 32.2039 0.1491 442 -444 4 453.5708 185.1129 32.3243 0.1601 443 -445 4 453.453 183.9815 32.3932 0.1759 444 -446 4 453.0812 182.9245 32.4895 0.2281 445 -447 4 452.4806 181.9624 32.5721 0.2142 446 -448 4 452.0596 180.9087 32.5962 0.1867 447 -449 4 452.0688 179.7876 32.5438 0.1725 448 -450 4 452.0905 178.6619 32.4204 0.2053 449 -451 4 451.9326 177.5351 32.3033 0.21 450 -452 4 451.8251 176.3968 32.2238 0.2473 451 -453 4 451.9097 175.2608 32.156 0.2142 452 -454 4 452.047 174.126 32.121 0.1856 453 -455 4 451.9772 172.9877 32.1292 0.1741 454 -456 4 451.626 171.9054 32.188 0.1982 455 -457 4 451.2542 170.8301 32.2958 0.2544 456 -458 4 450.9488 169.7284 32.3974 0.3356 457 -459 4 450.5907 168.6485 32.4587 0.3004 458 -460 4 450.1205 167.6097 32.548 0.2891 459 -461 4 449.5897 166.6282 32.7284 0.2928 460 -462 4 449.2168 165.5631 32.9493 0.3391 461 -463 4 449.1664 164.4271 33.1226 0.3499 462 -464 4 449.314 163.2934 33.2685 0.3278 463 -465 4 449.3117 162.1609 33.4505 0.237 464 -466 4 449.0246 161.0626 33.6468 0.1825 465 -467 4 448.8381 159.9404 33.7683 0.1707 466 -468 4 449.1127 158.8364 33.852 0.1935 467 -469 4 449.6847 157.88 34.041 0.2674 468 -470 4 450.1262 156.8962 34.3412 0.251 469 -471 4 450.2773 155.7762 34.629 0.2857 470 -472 4 450.1674 154.6368 34.8454 0.2419 471 -473 4 450.0004 153.5054 34.9964 0.2662 472 -474 4 449.9741 152.3625 35.0739 0.2098 473 -475 4 450.0999 151.2299 35.0546 0.1894 474 -476 4 450.1777 150.1065 34.9569 0.1902 475 -477 4 449.7373 149.0563 34.9084 0.2397 476 -478 4 449.2271 148.045 34.8967 0.3313 477 -479 4 449.0417 146.9331 34.8376 0.3847 478 -480 4 449.0108 145.7959 34.785 0.2821 479 -481 4 448.9548 144.6645 34.8228 0.2098 480 -482 4 448.6894 143.5754 34.9322 0.1936 481 -483 4 448.0831 142.6133 35.0406 0.1833 482 -484 4 447.2811 141.7988 35.1316 0.1838 483 -485 4 446.4185 141.0472 35.2069 0.2054 484 -486 4 445.6189 140.2407 35.2573 0.2595 485 -487 4 445.1521 139.2282 35.2705 0.2491 486 -488 4 445.1716 138.098 35.2548 0.2587 487 -489 4 444.9542 137.0935 35.3105 0.2113 488 -490 4 444.047 136.4323 35.327 0.2071 489 -491 4 443.2748 135.6235 35.385 0.273 490 -492 4 442.4546 134.9154 35.5592 0.3163 491 -493 4 441.6915 134.1111 35.7764 0.2764 492 -494 4 441.6092 133.0278 35.8725 0.2628 493 -495 4 441.0109 132.092 35.8571 0.2535 494 -496 4 440.408 131.1676 35.6933 0.3391 495 -497 4 439.9881 130.1071 35.4953 0.3332 496 -498 4 439.4642 129.0947 35.2643 0.2516 497 -499 4 438.9711 128.0628 35.0515 0.1914 498 -500 4 438.0948 127.3512 34.8267 0.1861 499 -501 4 437.2494 126.6408 34.7572 0.2352 500 -502 4 437.0435 125.9533 35.5494 0.2316 501 -503 4 436.6259 124.9088 35.3318 0.2177 502 -504 4 436.3742 123.83 35.2335 0.2114 503 -505 4 436.0333 122.7844 35.098 0.2005 504 -506 4 435.673 121.7124 34.9804 0.1995 505 -507 4 435.4728 120.5936 34.8412 0.2325 506 -508 4 434.7955 119.7368 34.6469 0.2846 507 -509 4 434.386 118.6923 34.561 0.2496 508 -510 4 433.8231 117.7451 34.405 0.247 509 -511 4 433.5188 116.7292 34.417 0.2423 510 -512 4 433.4193 115.6584 34.3689 0.2372 511 -513 4 432.8976 114.6631 34.4011 0.2765 512 -514 4 432.1506 113.8051 34.4596 0.379 513 -515 4 431.4996 112.8988 34.5408 0.459 514 -516 4 431.0031 111.9229 34.7469 0.4634 515 -517 4 430.4746 110.9467 34.9765 0.3894 516 -518 4 429.7184 110.1227 35.1551 0.2894 517 -519 4 428.8101 109.4301 35.2618 0.2836 518 -520 4 427.8594 108.806 35.2974 0.3192 519 -521 4 427.0701 108.0191 35.268 0.315 520 -522 4 426.4123 107.1415 35.3128 0.2648 521 -523 4 425.6538 106.3088 35.3772 0.2736 522 -524 4 425.1699 105.3041 35.4925 0.2694 523 -525 4 424.9068 104.2263 35.5183 0.2366 524 -526 4 424.273 103.3045 35.5645 0.2216 525 -527 4 423.4367 102.5766 35.686 0.2717 526 -528 4 422.6943 101.713 35.7448 0.3517 527 -529 4 422.0788 100.781 35.6734 0.383 528 -530 4 421.3478 99.903 35.5874 0.4554 529 -531 4 420.6351 99.009 35.5065 0.4852 530 -532 4 420.3067 97.9168 35.397 0.4844 531 -533 4 419.9189 96.8643 35.2184 0.403 532 -534 4 419.2714 95.9369 35.0333 0.4067 533 -535 4 419.0472 94.8376 35.0 0.3432 534 -536 4 436.9119 126.0391 34.533 0.2622 501 -537 4 436.0997 125.3607 34.4534 0.2284 536 -538 4 435.4853 124.8996 34.3 0.2424 537 -539 4 434.6102 124.7143 33.9595 0.2552 538 -540 4 433.6149 124.7532 33.8162 0.2162 539 -541 4 432.7409 124.1823 33.7036 0.18 540 -542 4 431.8589 123.4662 33.593 0.183 541 -543 4 430.9826 122.8416 33.6389 0.2132 542 -544 4 430.0147 122.241 33.6977 0.3175 543 -545 4 429.2299 121.4116 33.7338 0.2879 544 -546 4 428.6133 120.6062 33.5359 0.3253 545 -547 4 427.9979 119.6532 33.4197 0.2298 546 -548 4 427.2806 118.7804 33.3735 0.1804 547 -549 4 426.394 118.0631 33.2825 0.1504 548 -550 4 425.5691 117.2932 33.1965 0.162 549 -551 4 424.8233 116.6583 32.9795 0.1844 550 -552 4 424.4732 115.7133 32.9846 0.2261 551 -553 4 424.1391 114.6402 32.9218 0.3086 552 -554 4 423.5969 113.6996 32.7132 0.3845 553 -555 4 422.8956 112.8162 32.4626 0.3908 554 -556 4 422.2161 111.9397 32.1681 0.4539 555 -557 4 421.3867 111.1604 31.9124 0.4358 556 -558 4 420.8353 110.2011 31.6982 0.4048 557 -559 4 420.5516 109.1317 31.5386 0.315 558 -560 4 419.9189 108.2197 31.3499 0.2721 559 -561 4 419.1696 107.3711 31.2234 0.296 560 -562 4 418.5438 106.4507 31.1878 0.353 561 -563 4 418.108 105.3955 31.1626 0.4301 562 -564 4 417.7339 104.316 31.1212 0.4438 563 -565 4 417.6138 103.2455 30.9772 0.3728 564 -566 4 417.1974 102.3777 30.6964 0.2904 565 -567 4 416.4286 101.5811 30.4343 0.2793 566 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204.6055 31.6084 0.1764 590 -592 4 467.8239 203.815 31.6168 0.1614 591 -593 4 468.619 203.0131 31.752 0.1564 592 -594 4 469.3626 202.2077 32.0415 0.1672 593 -595 4 469.9918 201.2914 32.4212 0.2043 594 -596 4 470.3842 200.2263 32.7964 0.2064 595 -597 4 470.6073 199.1063 33.1276 0.2329 596 -598 4 470.9219 198.0184 33.4418 0.2308 597 -599 4 471.4184 197.0231 33.7599 0.2862 598 -600 4 471.9366 196.037 34.0665 0.2792 599 -601 4 472.2821 194.9536 34.2992 0.3115 600 -602 4 472.5281 193.8485 34.3865 0.401 601 -603 4 472.718 192.7297 34.3582 0.3538 602 -604 4 472.7797 191.5903 34.279 0.353 603 -605 4 472.6699 190.452 34.1807 0.3579 604 -606 4 472.4937 189.332 34.05 0.2832 605 -607 4 472.48 188.204 33.9158 0.2263 606 -608 4 472.869 187.1367 33.8481 0.2195 607 -609 4 473.6114 186.2821 33.9055 0.3049 608 -610 4 474.3779 185.4584 34.0878 0.3554 609 -611 4 474.9076 184.4654 34.3594 0.3435 610 -612 4 475.1661 183.3763 34.7026 0.3626 611 -613 4 475.5459 182.3056 35.0406 0.282 612 -614 4 476.1717 181.3572 35.3475 0.2636 613 -615 4 476.9096 180.5095 35.6432 0.2311 614 -616 4 477.6131 179.6114 35.8767 0.3022 615 -617 4 478.1703 178.615 36.0153 0.2412 616 -618 4 478.6896 177.6209 36.0304 0.1977 617 -619 4 479.4138 176.7446 36.0074 0.1891 618 -620 4 480.3004 176.0227 36.0175 0.1714 619 -621 4 481.163 175.342 36.1623 0.1576 620 -622 4 481.9786 174.6385 36.4414 0.151 621 -623 4 482.9247 174.0013 36.7046 0.1621 622 -624 4 483.9051 173.4567 36.8427 0.1841 623 -625 4 484.8787 172.8653 36.9138 0.2205 624 -626 4 485.7195 172.0919 36.9816 0.309 625 -627 4 486.3876 171.1962 37.1162 0.372 626 -628 4 487.1221 170.3267 37.2691 0.3019 627 -629 4 487.8805 169.471 37.4178 0.2784 628 -630 4 488.4514 168.4792 37.5584 0.2732 629 -631 4 489.1252 167.556 37.6827 0.3105 630 -632 4 490.0576 166.9279 37.8406 0.2678 631 -633 4 491.1753 166.7632 37.9985 0.2787 632 -634 4 492.2918 166.5161 38.0904 0.3131 633 -635 4 493.3431 166.1294 38.0568 0.3107 634 -636 4 494.2435 165.4418 37.9588 0.2851 635 -637 4 494.9939 164.5793 37.8748 0.3399 636 -638 4 495.4401 163.5256 37.8176 0.4015 637 -639 4 495.9835 162.5189 37.8022 0.3677 638 -640 4 496.7054 161.6323 37.8428 0.3376 639 -641 4 497.4226 160.7503 37.9646 0.3512 640 -642 4 497.9866 159.7859 38.176 0.3828 641 -643 4 498.6387 158.8478 38.3639 0.2961 642 -644 4 499.4121 158.0047 38.5118 0.2691 643 -645 4 500.1442 157.125 38.6232 0.2564 644 -646 4 500.6933 156.1217 38.7041 0.2794 645 -647 4 501.2058 155.0989 38.764 0.211 646 -648 4 501.7492 154.0922 38.8195 0.1658 647 -649 4 502.4448 153.1839 38.8906 0.143 648 -650 4 503.2216 152.3442 38.9844 0.1477 649 -651 4 503.9011 151.4244 39.114 0.1572 650 -652 4 504.3496 150.396 39.3428 0.1715 651 -653 4 504.6092 149.2989 39.6334 0.214 652 -654 4 505.1812 148.3082 39.9036 0.2152 653 -655 4 506.0072 147.5234 40.1783 0.2507 654 -656 4 506.3687 147.8414 40.1212 0.1483 655 -657 4 507.4441 148.1732 39.65 0.1397 656 -658 4 508.4451 147.679 39.447 0.1455 657 -659 4 509.2036 146.8381 39.1866 0.1525 658 -660 4 509.9117 145.9584 38.8623 0.1659 659 -661 4 510.6519 145.0912 38.5188 0.1888 660 -662 4 511.3794 144.2104 38.1816 0.2404 661 -663 4 512.1757 143.3958 37.8213 0.2917 662 -664 4 513.0886 142.7723 37.3808 0.2747 663 -665 4 514.0919 142.4417 36.8329 0.219 664 -666 4 515.1707 142.3308 36.2398 0.2109 665 -667 4 516.2895 142.1328 35.7073 0.1887 666 -668 4 517.4278 142.1878 35.2668 0.1886 667 -669 4 518.4139 142.754 34.874 0.2208 668 -670 4 519.3405 143.4038 34.5024 0.2282 669 -671 4 520.4319 143.707 34.1984 0.2794 670 -672 4 521.5473 143.5114 33.9214 0.2631 671 -673 4 522.5815 143.0686 33.5314 0.234 672 -674 4 523.531 142.6088 32.9442 0.1761 673 -675 4 524.381 142.0425 32.1787 0.1491 674 -676 4 525.1601 141.3892 31.2847 0.1389 675 -677 4 526.2068 141.2451 30.3486 0.1405 676 -678 4 527.3039 141.268 29.4924 0.1435 677 -679 4 528.2294 140.7955 28.5989 0.1494 678 -680 4 529.0645 140.3791 27.6157 0.1594 679 -681 4 529.9328 140.5061 26.6145 0.183 680 -682 4 530.784 141.1742 25.6788 0.2046 681 -683 4 531.8227 141.2588 24.8432 0.2068 682 -684 4 532.9118 141.093 24.0563 0.2487 683 -685 4 533.9757 141.0174 23.262 0.2575 684 -686 4 534.8635 140.6845 22.3917 0.204 685 -687 4 535.7489 140.3722 21.4596 0.1624 686 -688 4 536.806 140.1617 20.5873 0.1499 687 -689 4 537.8527 139.751 19.8496 0.1596 688 -690 4 538.8652 139.2374 19.234 0.1845 689 -691 4 539.8673 138.7008 18.731 0.1965 690 -692 4 540.8718 138.1552 18.3229 0.2014 691 -693 4 541.8934 137.661 17.9319 0.1961 692 -694 4 542.8063 137.0466 17.4756 0.1851 693 -695 4 543.5281 136.2984 16.895 0.1916 694 -696 4 544.2637 135.6384 16.1949 0.2459 695 -697 4 545.2716 135.2586 15.5567 0.2645 696 -698 4 546.1948 134.6396 15.0289 0.3033 697 -699 4 547.0539 133.8869 14.6069 0.2567 698 -700 4 548.1144 133.5197 14.2919 0.2064 699 -701 4 548.8649 132.7566 13.9728 0.193 700 -702 4 549.3728 131.7442 13.7157 0.1792 701 -703 4 549.8636 130.7603 13.3808 0.1678 702 -704 4 550.2617 129.7079 13.0234 0.1795 703 -705 4 551.0293 128.8796 12.692 0.157 704 -706 4 551.7912 128.0262 12.4474 0.1272 705 -707 4 552.0944 126.984 11.76 0.1144 706 -708 4 506.2097 146.0385 40.5448 0.2714 655 -709 4 506.3058 144.9139 40.8867 0.3015 708 -710 4 506.5357 143.7985 41.1603 0.2532 709 -711 4 506.8423 142.7014 41.3504 0.2639 710 -712 4 507.3697 141.7176 41.3784 0.2061 711 -713 4 507.8845 140.7234 41.3308 0.1836 712 -714 4 508.4073 139.7625 41.3479 0.1836 713 -715 4 509.0606 138.8759 41.2532 0.1643 714 -716 4 509.3488 137.9813 41.2154 0.1475 715 -717 4 509.4301 137.0569 41.379 0.142 716 -718 4 509.8625 136.0445 41.4644 0.1461 717 -719 4 510.3544 135.0995 41.5187 0.1538 718 -720 4 510.8646 134.1168 41.6461 0.1684 719 -721 4 511.3188 133.0724 41.7794 0.1934 720 -722 4 511.678 131.997 41.8415 0.2526 721 -723 4 511.8634 130.893 41.7852 0.3081 722 -724 4 511.8508 129.7662 41.7239 0.2982 723 -725 4 511.948 128.6417 41.6592 0.2409 724 -726 4 512.0327 127.5114 41.6038 0.1956 725 -727 4 512.0979 126.3788 41.6063 0.2022 726 -728 4 511.948 125.2703 41.6228 0.2136 727 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454.7526 207.4541 35.8361 0.6073 774 -776 4 454.5524 206.3284 36.1581 0.5947 775 -777 4 454.335 205.2061 36.4106 0.512 776 -778 4 454.2721 204.0644 36.6052 0.3948 777 -779 4 454.422 202.933 36.7727 0.3173 778 -780 4 454.4952 201.8153 36.983 0.3858 779 -781 4 454.4712 200.6793 37.1935 0.4007 780 -782 4 454.263 199.5559 37.3688 0.4642 781 -783 4 454.0216 198.4462 37.5441 0.4937 782 -784 4 453.6658 197.3709 37.7219 0.4307 783 -785 4 453.2539 196.3298 37.7723 0.3118 784 -786 4 452.9428 195.3483 37.653 0.299 785 -787 4 452.9554 194.2638 37.4956 0.2762 786 -788 4 453.493 193.2868 37.5488 0.2602 787 -789 4 453.9747 192.4917 37.9322 0.2135 788 -790 4 454.049 191.7138 38.6229 0.2135 789 -791 4 454.0479 190.635 39.3649 0.2487 790 -792 4 454.0124 189.4922 39.954 0.3746 791 -793 4 453.787 188.3996 40.3007 0.4278 792 -794 4 453.5846 187.29 40.5846 0.3728 793 -795 4 453.5033 186.1574 40.796 0.3295 794 -796 4 453.199 185.0546 40.9296 0.3079 795 -797 4 453.2253 183.9106 41.0511 0.4401 796 -798 4 453.5285 182.8135 41.2157 0.4206 797 -799 4 453.2654 181.3595 42.5925 0.1196 798 -800 4 452.611 180.4717 43.4322 0.1377 799 -801 4 451.7748 179.7613 43.7562 0.1381 800 -802 4 451.4316 178.8312 44.2408 0.1388 801 -803 4 451.4235 177.7753 44.7857 0.1401 802 -804 4 451.3252 176.653 45.201 0.1426 803 -805 4 451.2416 175.5468 45.4426 0.1471 804 -806 4 451.0975 174.4291 45.6467 0.1559 805 -807 4 450.9156 173.34 45.9432 0.1712 806 -808 4 450.6433 172.2795 46.3154 0.2047 807 -809 4 450.14 171.2728 46.732 0.2441 808 -810 4 449.767 170.2375 47.1957 0.2907 809 -811 4 449.6584 169.1221 47.6958 0.3544 810 -812 4 449.2866 168.1062 48.2138 0.3817 811 -813 4 448.6368 167.1945 48.7105 0.3852 812 -814 4 448.0007 166.2644 49.1798 0.3245 813 -815 4 447.3978 165.3034 49.607 0.2437 814 -816 4 446.7858 164.339 49.9716 0.2299 815 -817 4 446.2366 163.3426 50.2981 0.2198 816 -818 4 445.882 162.2993 50.654 0.1883 817 -819 4 445.604 161.2399 51.0569 0.1672 818 -820 4 445.1075 160.2447 51.438 0.1798 819 -821 4 444.452 159.31 51.7429 0.1842 820 -822 4 443.8972 158.3285 51.9358 0.1744 821 -823 4 443.6123 157.2394 52.0559 0.1741 822 -824 4 443.5608 156.1571 52.2497 0.2039 823 -825 4 443.6729 155.0795 52.5291 0.2308 824 -826 4 443.7484 153.9675 52.838 0.232 825 -827 4 443.5402 152.8613 53.0986 0.1956 826 -828 4 443.0758 151.9026 53.172 0.1605 827 -829 4 442.7726 150.8387 53.1714 0.1447 828 -830 4 442.2395 149.8468 53.2064 0.1462 829 -831 4 441.3438 149.1776 53.2241 0.1539 830 -832 4 440.4983 148.418 53.2736 0.1685 831 -833 4 439.9984 147.425 53.4747 0.1947 832 -834 4 439.8806 146.4068 53.8966 0.2483 833 -835 4 439.8726 145.4047 54.4796 0.3235 834 -836 4 439.8932 144.3236 55.088 0.2766 835 -837 4 440.003 143.1922 55.5696 0.2467 836 -838 4 440.2158 142.1065 55.8261 0.207 837 -839 4 440.265 140.9877 55.9163 0.2129 838 -840 4 440.0373 139.9604 56.1014 0.2601 839 -841 4 439.4253 139.1115 56.3881 0.3238 840 -842 4 438.6485 138.2856 56.6331 0.3635 841 -843 4 437.9884 137.3692 56.7683 0.2788 842 -844 4 437.5914 136.3065 56.9008 0.2139 843 -845 4 437.3809 135.1842 56.9926 0.1979 844 -846 4 437.0 134.1226 56.9629 0.2517 845 -847 4 436.7529 133.0083 56.9114 0.3278 846 -848 4 436.7929 131.8654 56.8882 0.2664 847 -849 4 436.8227 130.7226 56.9195 0.2228 848 -850 4 436.3742 129.7021 57.0612 0.2359 849 -851 4 435.6844 128.8052 57.2606 0.2679 850 -852 4 435.0552 127.85 57.4493 0.2825 851 -853 4 434.4981 126.857 57.5862 0.3014 852 -854 4 433.9123 125.8869 57.6736 0.2513 853 -855 4 433.338 124.9031 57.8049 0.2616 854 -856 4 433.0074 123.8494 58.0639 0.2009 855 -857 4 432.7638 122.7809 58.4343 0.173 856 -858 4 432.2833 121.7925 58.8804 0.1598 857 -859 4 431.6781 120.8853 59.3751 0.1789 858 -860 4 431.2136 119.8477 59.7971 0.2162 859 -861 4 430.811 118.7884 60.0471 0.2801 860 -862 4 430.3099 117.7714 60.1653 0.4212 861 -863 4 429.7459 116.7818 60.2644 0.4383 862 -864 4 429.2288 115.814 60.4481 0.3591 863 -865 4 429.0961 114.702 60.662 0.2821 864 -866 4 429.3695 113.5912 60.8546 0.3113 865 -867 4 429.6178 112.4833 61.0145 0.3198 866 -868 4 429.5102 111.3519 61.14 0.4002 867 -869 4 429.2002 110.2584 61.3015 0.4759 868 -870 4 428.9691 109.1687 61.5426 0.4492 869 -871 4 428.8982 108.0432 61.8327 0.4658 870 -872 4 428.8547 106.9124 62.1228 0.3927 871 -873 4 428.3765 105.8859 62.3938 0.3155 872 -874 4 427.618 105.0463 62.6654 0.2481 873 -875 4 427.1707 104.0379 62.9902 0.2663 874 -876 4 427.0106 102.9552 63.3609 0.2394 875 -877 4 426.585 101.9757 63.7258 0.1848 876 -878 4 426.0553 101.0412 63.9069 0.1517 877 -879 4 425.9101 100.0136 64.1323 0.1523 878 -880 4 425.6183 99.0562 64.2944 0.1663 879 -881 4 425.4113 98.0019 64.2897 0.1893 880 -882 4 425.4799 96.8761 64.2776 0.2486 881 -883 4 425.5051 95.7966 64.4106 0.2775 882 -884 4 425.393 94.7049 64.654 0.2704 883 -885 4 424.9216 93.7001 64.8539 0.2348 884 -886 4 424.5899 92.6222 65.0269 0.2366 885 -887 4 424.5121 91.5082 65.1454 0.2554 886 -888 4 424.1826 90.433 65.2492 0.2625 887 -889 4 423.7227 89.4325 65.4167 0.3275 888 -890 4 423.0295 88.5343 65.5995 0.4303 889 -891 4 422.1509 87.861 65.8031 0.4359 890 -892 4 421.1304 87.3621 65.9529 0.4185 891 -893 4 420.166 86.7629 66.0778 0.3715 892 -894 4 419.173 86.206 66.2144 0.3043 893 -895 4 418.1858 85.6544 66.3813 0.2525 894 -896 4 417.266 84.9981 66.5904 0.2055 895 -897 4 416.4492 84.2478 66.7344 0.1668 896 -898 4 415.7479 83.3851 66.8497 0.1478 897 -899 4 415.1645 82.4689 67.1087 0.1457 898 -900 4 414.7606 81.4925 67.5307 0.1532 899 -901 4 414.7892 80.4774 67.8714 0.169 900 -902 4 414.875 79.4629 68.3091 0.1963 901 -903 4 414.4529 78.4779 68.8688 0.2698 902 -904 4 413.9335 77.5546 69.5349 0.2778 903 -905 4 413.4267 76.5703 70.1988 0.3253 904 -906 4 413.0149 75.5545 70.8672 0.3475 905 -907 4 412.6099 74.5359 71.5361 0.3482 906 -908 4 412.1477 73.563 72.1815 0.2798 907 -909 4 411.2863 72.855 72.7149 0.253 908 -910 4 410.2613 72.3578 73.0985 0.3319 909 -911 4 409.2328 71.8561 73.3432 0.3349 910 -912 4 408.4366 71.0867 73.5683 0.3185 911 -913 4 407.3509 70.7947 73.6299 0.3432 912 -914 4 406.2344 70.6992 73.36 0.2288 913 -915 4 453.4988 181.8228 41.3801 0.5626 798 -916 4 453.358 180.6994 41.5682 0.5097 915 -917 4 453.215 179.5748 41.7682 0.3244 916 -918 4 453.2379 178.4365 41.9434 0.1997 917 -919 4 453.4004 177.3074 42.0986 0.1722 918 -920 4 453.4908 176.1829 42.2618 0.1784 919 -921 4 453.5262 175.0526 42.425 0.1609 920 -922 4 453.8603 173.9921 42.5172 0.148 921 -923 4 454.5581 173.125 42.497 0.1463 922 -924 4 455.4184 172.4077 42.3937 0.1543 923 -925 4 456.2043 171.6057 42.3136 0.1682 924 -926 4 456.4846 170.5601 42.313 0.2044 925 -927 4 456.2672 169.4504 42.3424 0.2258 926 -928 4 456.1391 168.3293 42.4385 0.2475 927 -929 4 456.488 167.2837 42.6115 0.3492 928 -930 4 457.1573 166.3685 42.7927 0.3575 929 -931 4 457.7888 165.4178 42.9318 0.3208 930 -932 4 458.1056 164.331 43.0248 0.2814 931 -933 4 458.1697 163.1927 43.0844 0.2722 932 -934 4 458.18 162.0487 43.1138 0.2697 933 -935 4 458.2178 160.9047 43.1225 0.2683 934 -936 4 458.3299 159.7676 43.1245 0.2491 935 -937 4 458.3596 158.6248 43.1287 0.295 936 -938 4 458.2887 157.4842 43.1357 0.2568 937 -939 4 457.9615 156.3962 43.1329 0.2149 938 -940 4 457.4055 155.409 43.1122 0.1991 939 -941 4 457.0646 154.329 43.1595 0.2479 940 -942 4 457.0337 153.1965 43.29 0.3103 941 -943 4 457.1687 152.0639 43.4694 0.3215 942 -944 4 457.2888 150.9336 43.7088 0.3029 943 -945 4 457.4204 149.8274 44.0345 0.3835 944 -946 4 457.4593 148.7257 44.4237 0.3735 945 -947 4 456.9925 147.7362 44.8221 0.282 946 -948 4 456.1597 146.964 45.134 0.228 947 -949 4 455.5328 146.0179 45.3107 0.192 948 -950 4 455.4744 144.8842 45.402 0.1908 949 -951 4 455.6335 143.7562 45.4174 0.2223 950 -952 4 455.487 142.6248 45.4034 0.2466 951 -953 4 454.9402 141.6272 45.4555 0.239 952 -954 4 454.3854 140.6308 45.575 0.2489 953 -955 4 454.2412 139.4971 45.7372 0.3724 954 -956 4 454.4174 138.3805 45.9684 0.3218 955 -957 4 454.4757 137.2708 46.2717 0.3331 956 -958 4 454.2847 136.2321 46.664 0.2934 957 -959 4 454.033 135.1728 47.0599 0.2876 958 -960 4 453.8854 134.1043 47.178 0.2907 959 -961 4 454.2309 133.1833 47.0865 0.2266 960 -962 4 454.7686 132.1858 46.9294 0.2041 961 -963 4 455.2811 131.171 46.807 0.1647 962 -964 4 455.6335 130.0842 46.7121 0.1493 963 -965 4 456.1174 129.0546 46.6536 0.1409 964 -966 4 456.7466 128.1086 46.6768 0.144 965 -967 4 457.0978 127.0446 46.7396 0.15 966 -968 4 457.0921 125.9041 46.755 0.1607 967 -969 4 457.1504 124.7738 46.7267 0.1826 968 -970 4 457.4478 123.671 46.7124 0.2131 969 -971 4 457.7602 122.5773 46.732 0.2249 970 -972 4 457.9638 121.4573 46.7334 0.2459 971 -973 4 457.9912 120.3225 46.685 0.2092 972 -974 4 457.9421 119.1831 46.627 0.1962 973 -975 4 458.0896 118.0585 46.5777 0.2174 974 -976 4 458.4786 116.9832 46.5354 0.2669 975 -977 4 458.7772 115.8941 46.5024 0.264 976 -978 4 458.7028 114.7615 46.4845 0.3092 977 -979 4 458.4511 113.6468 46.4786 0.3787 978 -980 4 458.3688 112.5166 46.4769 0.3633 979 -981 4 458.5678 111.3925 46.478 0.4092 980 -982 4 458.7943 110.2769 46.4825 0.4791 981 -983 4 458.7726 109.1447 46.4738 0.4923 982 -984 4 458.5495 108.0296 46.4425 0.5088 983 -985 4 458.426 106.9197 46.4635 0.5412 984 -986 4 458.6159 105.8375 46.5979 0.5101 985 -987 4 458.9602 104.774 46.774 0.4331 986 -988 4 459.3629 103.7062 46.9039 0.3721 987 -989 4 459.8548 102.6748 46.9566 0.2567 988 -990 4 460.2964 101.6462 46.8916 0.1999 989 -991 4 460.5584 100.5822 46.6693 0.1989 990 -992 4 460.7586 99.4923 46.3817 0.223 991 -993 4 460.7815 98.3632 46.1723 0.1865 992 -994 4 460.6087 97.244 46.0225 0.1575 993 -995 4 460.5229 96.116 45.8797 0.1449 994 -996 4 460.6499 94.9882 45.8066 0.1515 995 -997 4 460.8295 93.8754 45.7548 0.1629 996 -998 4 460.7906 92.7744 45.6016 0.1882 997 -999 4 460.8261 91.7106 45.355 0.2156 998 -1000 4 461.2391 90.6607 45.1615 0.2342 999 -1001 4 461.731 89.6456 45.0864 0.2505 1000 -1002 4 461.9941 88.5712 45.0618 0.2266 1001 -1003 4 462.0136 87.434 45.047 0.2168 1002 -1004 4 462.319 86.3458 45.0274 0.2009 1003 -1005 4 462.8635 85.3454 44.9677 0.2234 1004 -1006 4 463.4069 84.3471 44.8588 0.2674 1005 -1007 4 463.7433 83.2754 44.716 0.3188 1006 -1008 4 463.7135 82.224 44.4816 0.3296 1007 -1009 4 463.4779 81.2004 44.27 0.294 1008 -1010 4 463.4561 80.1024 44.2565 0.2698 1009 -1011 4 463.8943 79.1013 44.3621 0.2433 1010 -1012 4 464.6997 78.3037 44.5287 0.2494 1011 -1013 4 465.6492 77.6988 44.7782 0.2428 1012 -1014 4 466.6193 77.134 45.1077 0.2575 1013 -1015 4 467.5837 76.5333 45.4367 0.2655 1014 -1016 4 468.5813 76.0437 45.6627 0.2685 1015 -1017 4 469.6143 75.6353 45.8755 0.2682 1016 -1018 4 470.5192 75.0505 46.2339 0.2274 1017 -1019 4 471.1919 74.2105 46.7323 0.1894 1018 -1020 4 471.6712 73.2605 47.3626 0.1804 1019 -1021 4 472.3633 72.5408 48.1228 0.2183 1020 -1022 4 473.4295 72.2775 48.8365 0.2555 1021 -1023 4 474.5255 71.9805 49.4696 0.2842 1022 -1024 4 475.5128 71.4552 50.1519 0.2471 1023 -1025 4 476.1385 70.6596 51.0166 0.2091 1024 -1026 4 476.2724 69.7799 52.1175 0.2318 1025 -1027 4 475.9303 69.2437 53.4853 0.2045 1026 -1028 4 475.6935 69.828 55.0306 0.1697 1027 -1029 4 476.3833 70.4217 56.5919 0.1482 1028 -1030 4 477.2962 70.8138 58.06 0.1576 1029 -1031 4 478.343 70.8773 59.3572 0.1725 1030 -1032 4 479.2708 70.6318 60.5399 0.2151 1031 -1033 4 480.1871 70.199 61.5919 0.2212 1032 -1034 4 481.0474 69.4609 62.3969 0.2443 1033 -1035 4 481.6858 68.5135 62.9432 0.3429 1034 -1036 4 482.2315 67.5389 63.2262 0.3686 1035 -1037 4 482.8504 66.5771 63.4122 0.2671 1036 -1038 4 483.34 65.8944 64.4 0.1144 1037 -1039 4 452.6579 133.2783 47.4706 0.2198 960 -1040 4 451.9166 132.426 47.5345 0.1856 1039 -1041 4 451.4922 131.3747 47.5563 0.1716 1040 -1042 4 451.2554 130.2593 47.6364 0.1836 1041 -1043 4 451.0014 129.1462 47.747 0.2243 1042 -1044 4 450.8275 128.0182 47.8842 0.2952 1043 -1045 4 450.6548 126.8993 48.0752 0.353 1044 -1046 4 450.339 125.8137 48.3056 0.314 1045 -1047 4 449.9546 124.7418 48.4924 0.224 1046 -1048 4 449.7705 123.6538 48.6223 0.1737 1047 -1049 4 450.0679 122.5762 48.8088 0.1752 1048 -1050 4 450.5072 121.582 49.1322 0.1952 1049 -1051 4 450.633 120.5238 49.5676 0.1895 1050 -1052 4 450.4523 119.4256 50.0503 0.1984 1051 -1053 4 450.2532 118.3159 50.531 0.237 1052 -1054 4 450.2818 117.1891 50.9544 0.3165 1053 -1055 4 450.6342 116.1068 51.3167 0.373 1054 -1056 4 451.0689 115.0589 51.6631 0.3606 1055 -1057 4 451.3744 113.9694 52.0318 0.3733 1056 -1058 4 451.7496 112.9087 52.416 0.3818 1057 -1059 4 452.3056 111.9873 52.8842 0.3068 1058 -1060 4 452.6797 111.0924 53.5206 0.2431 1059 -1061 4 452.9474 110.0669 54.1719 0.2396 1060 -1062 4 453.4724 109.0667 54.7179 0.3266 1061 -1063 4 454.2126 108.2115 55.2084 0.4241 1062 -1064 4 454.9917 107.4003 55.6648 0.4203 1063 -1065 4 455.5888 106.4648 56.084 0.4026 1064 -1066 4 455.8989 105.3769 56.4458 0.4287 1065 -1067 4 456.1197 104.2565 56.761 0.4414 1066 -1068 4 456.4366 103.1578 57.0553 0.3648 1067 -1069 4 456.7592 102.0671 57.3602 0.2948 1068 -1070 4 456.9445 101.0153 57.7643 0.2688 1069 -1071 4 457.0463 100.0083 58.3064 0.2445 1070 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75.7383 68.7551 0.265 1093 -1095 4 461.9632 74.6569 69.505 0.23 1094 -1096 4 461.938 73.5166 70.1576 0.2564 1095 -1097 4 461.8031 72.4183 70.8369 0.2503 1096 -1098 4 461.5376 71.4104 71.6069 0.2017 1097 -1099 4 461.0228 70.4861 72.4212 0.1652 1098 -1100 4 460.7586 69.3989 73.1923 0.1604 1099 -1101 4 460.6087 68.2683 73.8984 0.1918 1100 -1102 4 460.1271 67.2624 74.6267 0.1788 1101 -1103 4 459.554 66.3956 75.4491 0.169 1102 -1104 4 458.7451 65.6426 76.3076 0.1848 1103 -1105 4 457.8768 65.0358 77.2341 0.1641 1104 -1106 4 457.123 64.257 78.1749 0.1443 1105 -1107 4 456.6722 63.3892 79.1764 0.1273 1106 -1108 4 455.9 62.8307 80.1903 0.1145 1107 -1109 4 454.9688 63.1488 82.32 0.1144 1108 -1110 4 456.7363 375.0753 27.6873 0.184 25 -1111 4 456.6333 374.3157 25.3488 0.1305 1110 -1112 4 456.4857 373.5583 24.303 0.1389 1111 -1113 4 455.9835 372.7404 23.1876 0.1403 1112 -1114 4 455.1347 372.0414 22.1617 0.1429 1113 -1115 4 454.1348 371.6032 21.2269 0.1477 1114 -1116 4 453.0709 371.6192 20.3821 0.1572 1115 -1117 4 452.015 371.9373 19.6703 0.1728 1116 -1118 4 450.903 372.0734 19.08 0.2119 1117 -1119 4 449.7693 371.967 18.6193 0.2354 1118 -1120 4 448.6299 371.9384 18.2364 0.2348 1119 -1121 4 447.5385 372.0105 17.8222 0.196 1120 -1122 4 446.4906 371.7977 17.3615 0.1704 1121 -1123 4 445.4164 371.4522 16.9491 0.1669 1122 -1124 4 444.4188 371.8835 16.6839 0.2034 1123 -1125 4 443.5494 372.6191 16.5075 0.201 1124 -1126 4 442.5633 372.9623 16.2144 0.2116 1125 -1127 4 441.4673 372.7244 15.9363 0.2569 1126 -1128 4 440.3622 372.467 15.7883 0.3329 1127 -1129 4 439.2342 372.5184 15.6095 0.2854 1128 -1130 4 438.1829 372.9669 15.4875 0.1992 1129 -1131 4 437.1293 373.3078 15.5105 0.1399 1130 -1132 4 436.0631 373.7231 15.5453 0.1144 1131 -1133 4 434.9625 373.7105 15.2743 0.1144 1132 -1134 4 456.4617 376.5922 26.6965 0.2391 24 -1135 4 457.2591 376.3806 25.1351 0.164 1134 -1136 4 458.2658 376.3783 24.4426 0.1843 1135 -1137 4 459.3492 376.392 23.729 0.1734 1136 -1138 4 460.4611 376.4881 23.1704 0.1814 1137 -1139 4 461.5148 376.8679 22.7547 0.1743 1138 -1140 4 462.2492 377.6058 22.2993 0.1572 1139 -1141 4 462.8693 378.4649 21.7939 0.1447 1140 -1142 4 463.741 379.1559 21.3518 0.145 1141 -1143 4 464.6631 379.8286 20.9571 0.1517 1142 -1144 4 465.4295 380.6054 20.4929 0.1648 1143 -1145 4 466.2258 381.3821 20.0122 0.185 1144 -1146 4 467.0277 382.191 19.6022 0.2435 1145 -1147 4 467.745 383.0741 19.2272 0.2491 1146 -1148 4 468.2872 384.0614 18.8337 0.2044 1147 -1149 4 468.603 385.1539 18.4722 0.1614 1148 -1150 4 469.1876 386.1217 18.1215 0.1466 1149 -1151 4 470.1005 386.7178 17.6872 0.1523 1150 -1152 4 470.8075 387.5758 17.2122 0.1661 1151 -1153 4 471.4138 388.4223 16.6374 0.1891 1152 -1154 4 472.4148 388.8582 16.059 0.2462 1153 -1155 4 473.3861 389.4554 15.5861 0.2859 1154 -1156 4 474.1102 390.3408 15.228 0.3264 1155 -1157 4 474.6525 391.3475 14.9667 0.321 1156 -1158 4 475.0677 392.4126 14.7688 0.2496 1157 -1159 4 475.5288 393.4491 14.583 0.2189 1158 -1160 4 476.2575 394.259 14.3139 0.2381 1159 -1161 4 476.9508 395.1079 13.9884 0.3558 1160 -1162 4 477.6761 395.9773 13.7374 0.3062 1161 -1163 4 477.9758 397.0218 13.6368 0.2249 1162 -1164 4 478.7377 397.6727 13.7394 0.1751 1163 -1165 4 479.2605 398.6485 13.8002 0.1889 1164 -1166 4 479.5625 399.5923 13.6104 0.1749 1165 -1167 4 479.7925 400.5075 13.2147 0.1686 1166 -1168 4 480.1871 401.5532 12.8582 0.1772 1167 -1169 4 480.7351 402.4981 12.5936 0.2185 1168 -1170 4 481.0314 403.5689 12.3244 0.2604 1169 -1171 4 481.5862 404.5584 12.1849 0.1963 1170 -1172 4 482.3104 404.976 12.32 0.1144 1171 -1173 3 446.4277 405.5171 28.4586 0.2325 1 -1174 3 445.3054 405.6864 28.754 0.1472 1173 -1175 3 444.206 405.9953 28.8708 0.1588 1174 -1176 3 443.1421 406.406 28.9579 0.1885 1175 -1177 3 442.037 406.6977 29.0525 0.177 1176 -1178 3 440.9273 406.6897 29.2351 0.1667 1177 -1179 3 439.8657 406.8762 29.5142 0.1673 1178 -1180 3 439.2251 407.7868 29.6971 0.1904 1179 -1181 3 438.5444 408.6929 29.7724 0.2473 1180 -1182 3 437.6178 409.3598 29.8138 0.2854 1181 -1183 3 436.5653 409.8071 29.8295 0.346 1182 -1184 3 435.5631 410.3093 29.7606 0.2756 1183 -1185 3 434.4386 410.4672 29.7774 0.2366 1184 -1186 3 433.4902 409.8906 29.9401 0.2769 1185 -1187 3 432.6654 409.147 30.2165 0.2673 1186 -1188 3 431.7387 408.4812 30.4427 0.3176 1187 -1189 3 430.8762 407.7811 30.5654 0.3087 1188 -1190 3 429.8729 407.2388 30.7462 0.3311 1189 -1191 3 428.8845 407.0524 31.1114 0.2977 1190 -1192 3 427.7656 407.1359 31.4919 0.2568 1191 -1193 3 426.3963 407.6575 31.8707 0.2474 1192 -1194 3 425.2717 407.7273 32.24 0.2098 1193 -1195 3 424.138 407.6003 32.4996 0.1961 1194 -1196 3 423.0077 407.6884 32.6144 0.2548 1195 -1197 3 421.8866 407.8738 32.7116 0.3006 1196 -1198 3 420.7518 407.9504 32.8163 0.3761 1197 -1199 3 419.61 408.0053 32.8964 0.3263 1198 -1200 3 418.4912 408.2398 32.9552 0.3714 1199 -1201 3 417.393 408.5624 33.0047 0.3181 1200 -1202 3 416.2627 408.7375 33.0422 0.3453 1201 -1203 3 415.1313 408.5819 33.061 0.4358 1202 -1204 3 413.9873 408.5418 33.0728 0.4284 1203 -1205 3 412.9634 409.0441 33.0876 0.3679 1204 -1206 3 411.9899 409.6447 33.1052 0.35 1205 -1207 3 410.9008 409.9936 33.1243 0.3113 1206 -1208 3 409.7808 410.2258 33.1503 0.3847 1207 -1209 3 408.702 410.5301 33.2503 0.3849 1208 -1210 3 407.6118 410.8733 33.3337 0.3685 1209 -1211 3 406.7114 411.53 33.2914 0.2994 1210 -1212 3 405.7024 412.0677 33.227 0.2448 1211 -1213 3 404.6465 412.507 33.1657 0.2426 1212 -1214 3 403.5563 412.8536 33.1094 0.33 1213 -1215 3 402.4192 412.9783 33.0602 0.392 1214 -1216 3 401.2763 413.024 33.031 0.4227 1215 -1217 3 400.1563 413.2563 33.0221 0.4302 1216 -1218 3 399.0249 413.4267 33.0151 0.4549 1217 -1219 3 397.8809 413.445 33.0033 0.4479 1218 -1220 3 396.7369 413.4622 32.9882 0.3484 1219 -1221 3 395.6021 413.6029 32.9708 0.3556 1220 -1222 3 394.4649 413.4702 32.951 0.3507 1221 -1223 3 393.3266 413.3615 32.9179 0.4322 1222 -1224 3 392.3863 412.8147 32.765 0.3725 1223 -1225 3 391.2755 412.849 32.7942 0.2568 1224 -1226 3 390.1406 412.9874 32.8168 0.1797 1225 -1227 3 388.9966 413.0046 32.83 0.1698 1226 -1228 3 387.9361 413.1636 32.8051 0.2399 1227 -1229 3 386.8081 413.3421 32.7606 0.2529 1228 -1230 3 385.671 413.4393 32.7303 0.268 1229 -1231 3 384.5327 413.5377 32.6917 0.2482 1230 -1232 3 383.4036 413.7184 32.655 0.2252 1231 -1233 3 382.2893 413.9301 32.5822 0.2557 1232 -1234 3 381.1808 414.1474 32.4716 0.2653 1233 -1235 3 380.0608 414.3179 32.4173 0.2902 1234 -1236 3 378.9431 414.4872 32.4548 0.2954 1235 -1237 3 377.8701 414.8304 32.4904 0.2777 1236 -1238 3 376.7844 415.169 32.5125 0.3004 1237 -1239 3 375.6839 415.4333 32.6012 0.3427 1238 -1240 3 374.565 415.6404 32.7331 0.2996 1239 -1241 3 373.4336 415.7971 32.877 0.2316 1240 -1242 3 372.3079 415.9904 33.0249 0.2169 1241 -1243 3 371.1742 416.1311 33.1736 0.2214 1242 -1244 3 370.0806 416.4343 33.3259 0.2588 1243 -1245 3 369.0315 416.8484 33.5205 0.2643 1244 -1246 3 367.931 417.0624 33.7434 0.2302 1245 -1247 3 366.7927 417.1207 33.9458 0.2012 1246 -1248 3 365.6579 417.2431 34.1149 0.2161 1247 -1249 3 364.5219 417.3209 34.2762 0.2534 1248 -1250 3 363.3962 417.4856 34.4193 0.2269 1249 -1251 3 362.3048 417.655 34.4386 0.1742 1250 -1252 3 361.234 417.8105 34.533 0.1418 1251 -1253 3 360.106 417.8517 34.6066 0.1373 1252 -1254 3 358.9735 417.981 34.6536 0.1373 1253 -1255 3 357.8775 418.2807 34.743 0.1373 1254 -1256 3 356.8056 418.6068 34.911 0.1373 1255 -1257 3 355.7142 418.8378 35.1431 0.1373 1256 -1258 3 354.6228 419.1593 35.3002 0.1373 1257 -1259 3 353.5681 419.5975 35.3954 0.1373 1258 -1260 3 352.5568 420.126 35.4242 0.1373 1259 -1261 3 351.6473 420.8032 35.3833 0.1373 1260 -1262 3 350.5353 420.9794 35.3427 0.1373 1261 -1263 3 349.4005 421.1293 35.3338 0.1373 1262 -1264 3 348.4818 421.7184 35.3786 0.1373 1263 -1265 3 347.8607 422.6714 35.474 0.1373 1264 -1266 3 347.2852 423.59 35.7011 0.1373 1265 -1267 3 346.6434 424.4755 36.0175 0.1373 1266 -1268 3 345.7111 425.0052 36.3625 0.1373 1267 -1269 3 344.6552 425.2786 36.7584 0.1373 1268 -1270 3 343.5489 425.5726 37.0667 0.1373 1269 -1271 3 342.4267 425.7785 37.296 0.1373 1270 -1272 3 341.3181 426.0428 37.4559 0.1373 1271 -1273 3 340.2245 426.2292 37.5698 0.1373 1272 -1274 3 339.0953 426.3013 37.6608 0.1373 1273 -1275 3 338.0646 426.68 37.8538 0.1373 1274 -1276 3 336.9217 426.6273 38.0209 0.1372 1275 -1277 3 335.9425 426.0645 38.1648 0.1372 1276 -1278 3 334.8911 426.4191 38.2886 0.1371 1277 -1279 3 333.9473 427.0174 38.3947 0.1369 1278 -1280 3 332.8811 427.3904 38.5437 0.1366 1279 -1281 3 331.8206 427.7805 38.7181 0.1362 1280 -1282 3 330.7601 428.2061 38.8632 0.1354 1281 -1283 3 329.6665 428.5401 38.9802 0.1342 1282 -1284 3 328.5648 428.8364 39.102 0.1327 1283 -1285 3 327.4837 429.1785 39.2151 0.1309 1284 -1286 3 326.5262 429.8054 39.2874 0.1273 1285 -1287 3 325.6774 430.5696 39.3327 0.1144 1286 -1288 3 324.7027 431.169 39.363 0.1144 1287 -1289 3 323.7291 431.7696 39.3845 0.1144 1288 -1290 3 388.5104 412.9142 33.2422 0.3183 1227 -1291 3 387.4625 413.1808 32.8521 0.2075 1290 -1292 3 386.6583 413.9335 32.6584 0.1547 1291 -1293 3 385.8048 414.6359 32.5531 0.1375 1292 -1294 3 384.8016 415.1507 32.4996 0.1377 1293 -1295 3 383.8886 415.836 32.4814 0.138 1294 -1296 3 382.906 416.4114 32.4775 0.1386 1295 -1297 3 382.048 417.099 32.482 0.1398 1296 -1298 3 381.4576 418.0737 32.522 0.1419 1297 -1299 3 380.8845 419.0598 32.5472 0.1459 1298 -1300 3 380.2656 420.0162 32.536 0.1534 1299 -1301 3 379.5643 420.9028 32.5052 0.1669 1300 -1302 3 378.6892 421.6155 32.5256 0.197 1301 -1303 3 377.7717 422.2607 32.6376 0.2283 1302 -1304 3 376.956 423.0318 32.7818 0.2347 1303 -1305 3 376.2765 423.9458 32.9347 0.2076 1304 -1306 3 375.6713 424.9022 33.0534 0.1708 1305 -1307 3 375.2503 425.8712 33.0274 0.1567 1306 -1308 3 374.8167 426.8653 32.9552 0.1634 1307 -1309 3 374.2356 427.7324 33.0669 0.1853 1308 -1310 3 373.6979 428.571 33.4085 0.2348 1309 -1311 3 373.3204 429.6017 33.7907 0.2957 1310 -1312 3 372.9394 430.668 34.1799 0.3196 1311 -1313 3 372.3857 431.6598 34.5223 0.2647 1312 -1314 3 371.7989 432.6402 34.7656 0.2253 1313 -1315 3 371.2646 433.6504 34.9244 0.1892 1314 -1316 3 370.3883 434.3173 35.0762 0.1729 1315 -1317 3 369.4788 434.9305 35.3153 0.1844 1316 -1318 3 368.495 435.483 35.5365 0.1746 1317 -1319 3 367.4711 435.9761 35.7538 0.1595 1318 -1320 3 366.5342 436.6202 35.9467 0.1509 1319 -1321 3 365.6213 437.3089 36.0923 0.1553 1320 -1322 3 364.7438 438.0262 36.1407 0.1801 1321 -1323 3 363.8801 438.772 36.1617 0.1713 1322 -1324 3 362.974 439.4665 36.2032 0.1537 1323 -1325 3 361.9868 440.0407 36.2485 0.14 1324 -1326 3 360.9503 440.5064 36.3448 0.1373 1325 -1327 3 359.8463 440.7386 36.5044 0.1373 1326 -1328 3 358.7481 441.0406 36.6629 0.1373 1327 -1329 3 357.6888 441.4662 36.7895 0.1373 1328 -1330 3 356.5917 441.7773 36.9334 0.1373 1329 -1331 3 355.5026 442.1114 37.1168 0.1373 1330 -1332 3 354.3929 442.3756 37.3215 0.1373 1331 -1333 3 353.2683 442.5072 37.5777 0.1373 1332 -1334 3 352.1735 442.752 37.9 0.1373 1333 -1335 3 351.1073 443.1341 38.2424 0.1373 1334 -1336 3 350.0434 443.5311 38.584 0.1373 1335 -1337 3 348.9795 443.9269 38.9158 0.1373 1336 -1338 3 347.9156 444.3239 39.2347 0.1374 1337 -1339 3 346.8265 444.6545 39.5259 0.1374 1338 -1340 3 345.6916 444.778 39.774 0.1376 1339 -1341 3 344.5488 444.7872 39.9862 0.1379 1340 -1342 3 343.4094 444.8833 40.1853 0.1384 1341 -1343 3 342.3088 445.191 40.4205 0.1393 1342 -1344 3 341.1991 445.4198 40.7408 0.1411 1343 -1345 3 340.0609 445.4862 41.102 0.1439 1344 -1346 3 338.9603 445.7779 41.4971 0.152 1345 -1347 3 338.0177 445.8317 42.0955 0.1525 1346 -1348 3 337.2512 445.4736 43.96 0.2288 1347 -1349 3 391.6873 412.5539 31.6478 0.228 1224 -1350 3 390.6634 412.126 30.508 0.1753 1349 -1351 3 389.6247 411.6981 30.0689 0.2209 1350 -1352 3 388.6477 411.3252 29.5098 0.1877 1351 -1353 3 387.6741 411.1181 28.7848 0.1654 1352 -1354 3 386.7292 410.9191 27.9356 0.1674 1353 -1355 3 385.8346 410.4192 27.1193 0.1932 1354 -1356 3 384.8542 409.838 26.4535 0.2439 1355 -1357 3 383.7697 409.6961 25.862 0.3345 1356 -1358 3 382.668 409.6664 25.268 0.313 1357 -1359 3 381.5904 409.4387 24.6535 0.2377 1358 -1360 3 380.539 409.3346 23.9616 0.1976 1359 -1361 3 379.5815 408.8462 23.2669 0.2386 1360 -1362 3 378.5702 408.3348 22.6023 0.2491 1361 -1363 3 377.6367 408.4274 21.8174 0.1995 1362 -1364 3 376.9411 408.7329 20.8621 0.1551 1363 -1365 3 375.812 408.7775 20.0953 0.1451 1364 -1366 3 374.7012 408.726 19.4569 0.1532 1365 -1367 3 373.6773 409.1996 18.9085 0.167 1366 -1368 3 372.7152 409.5097 18.3462 0.1949 1367 -1369 3 371.7451 408.9606 17.8744 0.233 1368 -1370 3 370.9637 408.1792 17.4361 0.2011 1369 -1371 3 370.2739 407.3887 16.8995 0.1834 1370 -1372 3 369.6104 406.5261 16.361 0.2048 1371 -1373 3 368.6689 405.8843 15.8521 0.2176 1372 -1374 3 367.6416 405.4782 15.3501 0.1814 1373 -1375 3 366.5536 405.5617 14.8326 0.1537 1374 -1376 3 365.7345 406.2184 14.3077 0.1495 1375 -1377 3 365.4211 407.2537 13.7865 0.1525 1376 -1378 3 364.8216 407.4928 12.32 0.2288 1377 -1379 3 427.1261 407.1118 32.6474 0.165 1192 -1380 3 426.1926 406.6417 33.9534 0.1354 1379 -1381 3 425.6824 405.683 34.4848 0.149 1380 -1382 3 425.2225 404.6763 35.1316 0.1601 1381 -1383 3 424.6665 403.7187 35.8708 0.176 1382 -1384 3 424.09 402.998 36.7996 0.2279 1383 -1385 3 423.2846 402.6194 37.875 0.2104 1384 -1386 3 422.1978 402.8093 38.8637 0.1835 1385 -1387 3 421.0721 402.7566 39.767 0.174 1386 -1388 3 420.0333 403.0644 40.6566 0.1963 1387 -1389 3 419.3904 403.832 41.5892 0.2856 1388 -1390 3 418.6537 404.6854 41.4882 0.1218 1389 -1391 3 417.9455 405.5411 42.1784 0.1512 1390 -1392 3 417.036 406.0022 42.5513 0.1671 1391 -1393 3 415.9504 406.0159 42.9988 0.1791 1392 -1394 3 414.8968 406.1909 43.4134 0.1598 1393 -1395 3 413.9278 406.7744 43.8452 0.1441 1394 -1396 3 413.0549 407.4036 44.347 0.1377 1395 -1397 3 412.3216 408.2158 44.8904 0.1381 1396 -1398 3 411.546 409.0406 45.4157 0.1388 1397 -1399 3 410.6674 409.7453 45.9021 0.1401 1398 -1400 3 409.7511 410.4214 46.3504 0.1427 1399 -1401 3 409.0383 411.1078 46.9549 0.1476 1400 -1402 3 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449.2191 434.442 17.2857 0.3781 1510 -1512 3 448.8736 435.4419 17.1124 0.3292 1511 -1513 3 448.5063 436.5126 17.0073 0.2725 1512 -1514 3 447.9755 437.5171 16.9145 0.2232 1513 -1515 3 447.4367 438.4952 16.7595 0.194 1514 -1516 3 447.2502 439.4905 16.7174 0.2084 1515 -1517 3 447.3246 440.5773 16.7674 0.2338 1516 -1518 3 447.5454 441.6732 16.7193 0.2299 1517 -1519 3 447.3921 442.7543 16.6057 0.2386 1518 -1520 3 446.7835 443.7096 16.4985 0.2539 1519 -1521 3 446.3659 444.7369 16.2912 0.2761 1520 -1522 3 446.0696 445.7871 15.958 0.2157 1521 -1523 3 445.6852 446.8578 15.6447 0.1665 1522 -1524 3 445.254 447.916 15.412 0.1394 1523 -1525 3 444.3925 448.6528 15.2332 0.1375 1524 -1526 3 443.3755 449.1458 15.0444 0.1376 1525 -1527 3 442.8104 450.0427 14.7754 0.1379 1526 -1528 3 442.6067 451.1478 14.6614 0.1385 1527 -1529 3 442.4969 452.2781 14.6308 0.1395 1528 -1530 3 442.2212 453.3352 14.7075 0.1417 1529 -1531 3 441.425 454.1417 14.7143 0.1458 1530 -1532 3 441.0097 455.161 14.6558 0.1544 1531 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448.5384 416.8461 27.1913 0.3643 1576 -1578 2 448.1448 417.9066 27.011 0.3252 1577 -1579 2 447.6712 418.9362 26.8435 0.286 1578 -1580 2 447.0992 419.9246 26.7268 0.238 1579 -1581 2 446.5329 420.9176 26.6715 0.2413 1580 -1582 2 446.0845 421.9644 26.6835 0.2587 1581 -1583 2 445.7504 423.0489 26.7789 0.2666 1582 -1584 2 445.4347 424.1369 26.9412 0.2631 1583 -1585 2 445.0698 425.2156 27.1118 0.2499 1584 -1586 2 444.7106 426.3002 27.2543 0.2336 1585 -1587 2 444.3571 427.387 27.3681 0.186 1586 -1588 2 443.991 428.4623 27.4189 0.1607 1587 -1589 2 443.7347 429.5651 27.4102 0.1577 1588 -1590 2 443.5746 430.6943 27.3766 0.1732 1589 -1591 2 443.5917 431.8131 27.3821 0.2173 1590 -1592 2 443.8457 432.8759 27.501 0.2256 1591 -1593 2 444.0356 433.8769 27.7511 0.1987 1592 -1594 2 443.9578 434.9168 27.8963 0.1966 1593 -1595 2 443.9544 435.9715 27.791 0.1957 1594 -1596 2 444.1534 437.056 27.541 0.1952 1595 -1597 2 444.4188 438.1474 27.195 0.2189 1596 -1598 2 444.5206 439.2434 26.7647 0.2601 1597 -1599 2 444.7769 440.3313 26.3609 0.2422 1598 -1600 2 444.8638 441.4479 26.0291 0.2026 1599 -1601 2 444.5916 442.545 25.7786 0.201 1600 -1602 2 444.571 443.6546 25.6574 0.2017 1601 -1603 2 444.9119 444.7334 25.5852 0.2058 1602 -1604 2 445.1476 445.8454 25.5012 0.256 1603 -1605 2 445.1784 446.9848 25.4061 0.2583 1604 -1606 2 445.1476 448.1265 25.2881 0.2854 1605 -1607 2 445.1052 449.2671 25.1365 0.2732 1606 -1608 2 445.0755 450.41 24.9728 0.2493 1607 -1609 2 445.119 451.5528 24.7945 0.1969 1608 -1610 2 445.2963 452.6774 24.5818 0.164 1609 -1611 2 445.5502 453.7905 24.3545 0.1552 1610 -1612 2 445.4278 454.8178 23.9818 0.1671 1611 -1613 2 444.9153 455.765 23.5277 0.1915 1612 -1614 2 444.6591 456.8656 23.1257 0.2456 1613 -1615 2 444.3513 457.9318 22.8943 0.3026 1614 -1616 2 443.8205 458.8447 22.5751 0.313 1615 -1617 2 443.5608 459.8994 22.21 0.233 1616 -1618 2 443.1639 460.8982 22.0728 0.1805 1617 -1619 2 442.7623 461.9575 21.8953 0.1723 1618 -1620 2 442.2155 462.9585 21.6952 0.2011 1619 -1621 2 441.7213 463.9881 21.4924 0.2694 1620 -1622 2 441.4467 465.0623 21.2456 0.2681 1621 -1623 2 441.7945 466.0141 20.8609 0.2378 1622 -1624 2 442.4946 466.895 20.5818 0.2455 1623 -1625 2 443.1101 467.8434 20.3368 0.2602 1624 -1626 2 443.3435 468.9496 20.0616 0.2085 1625 -1627 2 443.2176 470.041 19.7314 0.1715 1626 -1628 2 442.8287 471.0226 19.3055 0.1655 1627 -1629 2 442.855 472.1082 18.8497 0.1833 1628 -1630 2 443.0552 473.2305 18.4445 0.1663 1629 -1631 2 443.1009 474.3688 18.1239 0.1541 1630 -1632 2 443.006 475.5059 17.91 0.1517 1631 -1633 2 442.8596 476.6259 17.7324 0.164 1632 -1634 2 442.6902 477.7252 17.5119 0.19 1633 -1635 2 442.7841 478.8441 17.2861 0.2255 1634 -1636 2 443.0746 479.9412 17.0391 0.2333 1635 -1637 2 442.9625 480.9902 16.8063 0.2086 1636 -1638 2 442.3436 481.9523 16.6156 0.1672 1637 -1639 2 441.8666 482.9625 16.4321 0.1446 1638 -1640 2 441.6504 484.0653 16.2238 0.1374 1639 -1641 2 441.6149 485.2036 16.0289 0.1375 1640 -1642 2 441.7144 486.3338 15.8165 0.1378 1641 -1643 2 441.6755 487.4412 15.5695 0.1382 1642 -1644 2 441.4124 488.5429 15.3321 0.139 1643 -1645 2 441.1287 489.648 15.1411 0.1405 1644 -1646 2 440.8301 490.7485 15.0163 0.1432 1645 -1647 2 440.4823 491.8285 14.9906 0.1485 1646 -1648 2 440.0419 492.8741 15.0234 0.1573 1647 -1649 2 439.4848 493.8637 15.0824 0.1804 1648 -1650 2 438.9688 494.8715 15.1384 0.1902 1649 -1651 2 438.8109 495.972 15.102 0.1836 1650 -1652 2 439.0169 497.0772 14.9878 0.2005 1651 -1653 2 439.4802 498.1148 14.848 0.2081 1652 -1654 2 439.7788 499.2004 14.6896 0.2344 1653 -1655 2 439.717 500.3295 14.5378 0.2142 1654 -1656 2 439.4424 501.4083 14.3399 0.174 1655 -1657 2 439.0089 502.4391 14.1163 0.1459 1656 -1658 2 438.5055 503.4584 13.9595 0.1381 1657 -1659 2 438.0273 504.488 13.9009 0.1389 1658 -1660 2 437.7276 505.5828 13.89 0.1403 1659 -1661 2 437.8546 506.6959 13.899 0.1428 1660 -1662 2 438.1486 507.8022 13.9191 0.1481 1661 -1663 2 438.2687 508.9347 13.9301 0.1554 1662 -1664 2 438.6474 509.9918 13.8741 0.1809 1663 -1665 2 439.0443 511.0465 13.8485 0.1715 1664 -1666 2 438.835 512.1242 13.7746 0.1545 1665 -1667 2 438.4403 513.1641 13.611 0.1421 1666 -1668 2 437.7653 514.061 13.4278 0.1422 1667 -1669 2 437.1018 514.9865 13.2685 0.1463 1668 -1670 2 436.5939 516.0069 13.1619 0.1548 1669 -1671 2 436.5801 517.1029 13.2133 0.1683 1670 -1672 2 436.3605 518.2194 13.3242 0.2057 1671 -1673 2 435.8423 519.2193 13.5136 0.2158 1672 -1674 2 435.1398 520.107 13.624 0.1912 1673 -1675 2 434.9488 521.2064 14.0 0.1144 1674 -1676 3 453.6738 406.2207 34.4789 0.1873 1 -1677 3 454.6542 406.7709 34.8692 0.1591 1676 -1678 3 455.7204 407.1668 35.0409 0.1764 1677 -1679 3 456.8598 407.1748 35.2338 0.2351 1678 -1680 3 457.7144 407.9252 35.4231 0.1969 1679 -1681 3 457.4925 409.1287 35.5928 0.1547 1680 -1682 3 457.6297 410.1881 35.7862 0.1389 1681 -1683 3 457.9981 411.0838 36.0637 0.1406 1682 -1684 3 458.7429 411.5906 36.3952 0.1438 1683 -1685 3 459.8068 411.9979 36.6139 0.1494 1684 -1686 3 460.8043 412.5493 36.7279 0.1607 1685 -1687 3 461.7218 413.0812 36.6248 0.1803 1686 -1688 3 462.6485 413.6944 36.4048 0.2314 1687 -1689 3 463.6415 414.255 36.1654 0.254 1688 -1690 3 464.5715 414.9162 35.9937 0.3267 1689 -1691 3 465.4181 415.6838 35.8789 0.3823 1690 -1692 3 466.4385 416.1746 35.7809 0.3566 1691 -1693 3 467.57 416.2833 35.7806 0.2469 1692 -1694 3 468.7002 416.3702 35.8683 0.1789 1693 -1695 3 469.8076 416.607 35.9047 0.1641 1694 -1696 3 470.8841 416.9869 35.9355 0.1841 1695 -1697 3 472.0144 417.1493 36.0242 0.2356 1696 -1698 3 473.155 417.1619 36.1651 0.265 1697 -1699 3 474.2772 417.0258 36.3782 0.296 1698 -1700 3 474.6765 417.0692 36.5901 0.2391 1699 -1701 3 475.7896 417.3312 36.8122 0.2311 1700 -1702 3 476.0996 417.0807 37.1479 0.2149 1701 -1703 3 477.0068 416.6093 37.5514 0.2134 1702 -1704 3 478.1154 416.3668 37.9053 0.2139 1703 -1705 3 479.2513 416.2524 38.2068 0.232 1704 -1706 3 480.3759 416.2753 38.5182 0.2177 1705 -1707 3 481.3208 416.7112 38.9259 0.1748 1706 -1708 3 482.2097 417.3049 39.4013 0.1457 1707 -1709 3 483.308 417.5245 39.8255 0.1453 1708 -1710 3 484.444 417.6561 40.1716 0.1527 1709 -1711 3 485.5845 417.6641 40.4757 0.1636 1710 -1712 3 486.6988 417.425 40.7282 0.1977 1711 -1713 3 487.805 417.1413 40.9004 0.1936 1712 -1714 3 488.9216 416.94 41.1037 0.1959 1713 -1715 3 490.0187 417.0612 41.4106 0.2321 1714 -1716 3 491.1524 417.1116 41.6612 0.2611 1715 -1717 3 492.2483 417.3667 41.9776 0.2899 1716 -1718 3 493.2139 417.8757 42.3951 0.2305 1717 -1719 3 494.2149 418.3883 42.8266 0.2126 1718 -1720 3 495.2067 418.9191 43.2527 0.168 1719 -1721 3 495.8725 419.8366 43.638 0.1506 1720 -1722 3 496.5349 420.7232 44.0451 0.1379 1721 -1723 3 497.4833 421.3581 44.3271 0.1383 1722 -1724 3 498.2967 422.0708 44.4184 0.1392 1723 -1725 3 499.0883 422.6794 44.6586 0.1411 1724 -1726 3 500.2266 422.7698 44.8479 0.1446 1725 -1727 3 501.358 422.7183 45.0363 0.1508 1726 -1728 3 502.4505 422.6851 45.3023 0.1627 1727 -1729 3 503.5774 422.6325 45.493 0.1829 1728 -1730 3 504.6687 422.8544 45.6142 0.1635 1729 -1731 3 505.7407 423.2079 45.7979 0.1475 1730 -1732 3 506.8332 423.4939 46.0586 0.1376 1731 -1733 3 507.9246 423.7811 46.3761 0.1379 1732 -1734 3 509.0159 424.0671 46.737 0.1385 1733 -1735 3 510.1073 424.3542 47.1388 0.1395 1734 -1736 3 511.1987 424.6402 47.551 0.1413 1735 -1737 3 512.2901 424.9274 47.945 0.1448 1736 -1738 3 513.3814 425.2145 48.3185 0.151 1737 -1739 3 514.4751 425.5016 48.6654 0.1635 1738 -1740 3 515.5699 425.8094 48.9448 0.1826 1739 -1741 3 516.6155 426.2372 49.1053 0.1635 1740 -1742 3 517.5536 426.8722 49.2341 0.1476 1741 -1743 3 518.4219 427.5506 49.4502 0.1386 1742 -1744 3 519.2422 428.2919 49.6882 0.1398 1743 -1745 3 520.0098 429.1087 49.8168 0.142 1744 -1746 3 520.7648 429.9346 49.9206 0.1461 1745 -1747 3 521.6148 430.6863 50.1116 0.1539 1746 -1748 3 522.4785 431.4058 50.3773 0.167 1747 -1749 3 523.3525 432.0613 50.7343 0.1985 1748 -1750 3 524.0355 432.8232 51.2378 0.2214 1749 -1751 3 524.6121 433.6858 51.8064 0.1829 1750 -1752 3 525.2104 434.6502 52.2382 0.1502 1751 -1753 3 525.9872 435.4453 52.4572 0.138 1752 -1754 3 526.8212 436.2083 52.5652 0.1387 1753 -1755 3 527.4309 437.1132 52.7125 0.1401 1754 -1756 3 528.1047 438.0159 52.8489 0.1425 1755 -1757 3 528.6973 438.8979 52.8332 0.147 1756 -1758 3 529.6869 439.1507 52.7458 0.1558 1757 -1759 3 530.7531 439.3715 52.8312 0.1701 1758 -1760 3 531.7678 439.6941 53.1062 0.2066 1759 -1761 3 532.6864 440.2306 53.5102 0.2265 1760 -1762 3 533.4655 441.0406 53.9176 0.2073 1761 -1763 3 533.7652 442.124 54.2562 0.1914 1762 -1764 3 534.4482 442.9522 54.6479 0.2339 1763 -1765 3 534.7651 444.023 54.8752 0.1991 1764 -1766 3 535.36 444.9897 55.0032 0.1654 1765 -1767 3 536.1882 445.7585 55.1754 0.1397 1766 -1768 3 537.1892 446.0959 55.5094 0.1418 1767 -1769 3 538.2703 446.4403 55.8589 0.1456 1768 -1770 3 539.1821 447.0489 56.2526 0.1543 1769 -1771 3 540.0275 447.7959 56.5454 0.1709 1770 -1772 3 540.9987 448.3748 56.8369 0.1959 1771 -1773 3 542.0352 448.7878 57.1483 0.19 1772 -1774 3 543.1106 449.1321 57.4386 0.1957 1773 -1775 3 544.1688 449.552 57.696 0.1816 1774 -1776 3 545.2281 449.9718 57.9214 0.1676 1775 -1777 3 546.2062 450.5633 58.088 0.1604 1776 -1778 3 547.1809 451.1627 58.191 0.1536 1777 -1779 3 548.1613 451.753 58.245 0.1456 1778 -1780 3 549.144 452.3376 58.27 0.1373 1779 -1781 3 550.0878 452.9828 58.2795 0.1373 1780 -1782 3 550.9733 453.7093 58.2826 0.1373 1781 -1783 3 551.8301 454.4666 58.2865 0.1373 1782 -1784 3 552.6824 455.2296 58.2918 0.1373 1783 -1785 3 553.6697 455.7936 58.2994 0.1373 1784 -1786 3 554.6936 456.305 58.31 0.1373 1785 -1787 3 555.7163 456.8164 58.3243 0.1373 1786 -1788 3 556.7253 457.3563 58.345 0.1373 1787 -1789 3 557.8121 457.6732 58.3741 0.1373 1788 -1790 3 558.9367 457.8837 58.4147 0.1373 1789 -1791 3 560.0612 458.0919 58.4685 0.1373 1790 -1792 3 561.1846 458.307 58.541 0.1373 1791 -1793 3 562.2897 458.5724 58.6676 0.1373 1792 -1794 3 563.396 458.8378 58.8322 0.1373 1793 -1795 3 564.5022 459.1032 59.0204 0.1373 1794 -1796 3 565.6096 459.3629 59.2169 0.1373 1795 -1797 3 566.7422 459.5242 59.372 0.1373 1796 -1798 3 567.8782 459.5208 59.4908 0.1373 1797 -1799 3 569.0016 459.3034 59.5804 0.1373 1798 -1800 3 570.1284 459.4155 59.6599 0.1373 1799 -1801 3 571.2587 459.5928 59.747 0.1373 1800 -1802 3 572.3901 459.7576 59.8542 0.1373 1801 -1803 3 573.4929 460.0447 59.9897 0.1373 1802 -1804 3 574.5786 460.4074 60.1513 0.1373 1803 -1805 3 575.5052 460.3788 60.5604 0.1372 1804 -1806 3 576.4673 460.6282 61.0296 0.1372 1805 -1807 3 577.4718 461.175 61.4026 0.1372 1806 -1808 3 578.5036 461.6658 61.6874 0.1371 1807 -1809 3 579.4554 462.3018 61.8946 0.137 1808 -1810 3 580.5205 462.3076 62.0374 0.1369 1809 -1811 3 581.6336 462.0456 62.1278 0.1368 1810 -1812 3 582.6861 461.6269 62.2146 0.1366 1811 -1813 3 583.7066 461.1315 62.347 0.1363 1812 -1814 3 584.7648 460.7403 62.5596 0.136 1813 -1815 3 585.823 460.349 62.8351 0.1356 1814 -1816 3 586.9486 460.2461 63.1042 0.1351 1815 -1817 3 588.0926 460.2175 63.3528 0.1346 1816 -1818 3 589.1829 460.0127 63.5835 0.1331 1817 -1819 3 590.153 459.8388 63.887 0.1303 1818 -1820 3 591.13 460.1271 64.3283 0.128 1819 -1821 3 592.2065 460.269 64.7503 0.1228 1820 -1822 3 593.3493 460.309 65.07 0.1156 1821 -1823 3 594.4796 460.4794 65.2974 0.1144 1822 -1824 3 595.6064 460.6739 65.5068 0.1144 1823 -1825 3 476.3433 417.4101 36.3292 0.2292 1701 -1826 3 477.4507 417.4296 35.8904 0.2538 1825 -1827 3 478.5878 417.3484 35.7221 0.2438 1826 -1828 3 479.7158 417.1619 35.5715 0.209 1827 -1829 3 480.8495 417.0132 35.4483 0.1941 1828 -1830 3 481.9878 417.0704 35.3214 0.2393 1829 -1831 3 483.1078 417.2557 35.2638 0.2109 1830 -1832 3 484.2174 417.528 35.2262 0.1869 1831 -1833 3 485.1132 418.2029 35.0986 0.1786 1832 -1834 3 485.9609 418.9648 34.9496 0.2244 1833 -1835 3 486.9951 419.4362 34.767 0.2438 1834 -1836 3 488.1105 419.6169 34.5551 0.2392 1835 -1837 3 489.1229 419.8663 34.2096 0.2052 1836 -1838 3 490.1056 420.4452 33.9581 0.2019 1837 -1839 3 491.0151 421.1201 33.8094 0.2396 1838 -1840 3 491.9028 421.8317 33.64 0.2703 1839 -1841 3 492.8215 422.4826 33.441 0.287 1840 -1842 3 493.8877 422.8853 33.2472 0.2989 1841 -1843 3 494.9802 423.2068 33.0845 0.2606 1842 -1844 3 496.1173 423.2869 32.9333 0.2082 1843 -1845 3 497.2087 423.439 32.7071 0.1926 1844 -1846 3 498.1376 423.9321 32.4509 0.2175 1845 -1847 3 498.9281 424.5876 32.352 0.235 1846 -1848 3 499.6695 425.4536 32.1894 0.2607 1847 -1849 3 500.4748 426.2338 31.9617 0.2267 1848 -1850 3 501.4781 426.4409 31.6235 0.1733 1849 -1851 3 502.4677 426.0702 31.1209 0.1422 1850 -1852 3 503.4652 426.2693 30.5214 0.1376 1851 -1853 3 504.4479 426.8321 29.9174 0.1379 1852 -1854 3 505.5187 427.0289 29.3157 0.1384 1853 -1855 3 506.514 426.8847 28.6199 0.1393 1854 -1856 3 507.5917 426.8939 27.9435 0.1411 1855 -1857 3 508.7013 427.0495 27.3313 0.1443 1856 -1858 3 509.8019 427.2165 26.7606 0.1507 1857 -1859 3 510.8772 427.5357 26.2517 0.1603 1858 -1860 3 511.9492 427.9155 25.8382 0.1896 1859 -1861 3 513.0634 428.1534 25.5219 0.1887 1860 -1862 3 514.2028 428.2061 25.2799 0.1845 1861 -1863 3 515.213 427.7324 25.1215 0.2067 1862 -1864 3 516.1911 427.2474 24.8872 0.2226 1863 -1865 3 517.3191 427.1902 24.681 0.1964 1864 -1866 3 518.4597 427.2451 24.4822 0.1758 1865 -1867 3 519.5945 427.2165 24.265 0.1936 1866 -1868 3 520.6527 426.8035 24.0569 0.1837 1867 -1869 3 521.7795 426.6273 23.8892 0.1772 1868 -1870 3 522.8824 426.8035 23.6925 0.2003 1869 -1871 3 523.9703 427.157 23.5556 0.1923 1870 -1872 3 525.0502 427.5345 23.4752 0.1982 1871 -1873 3 526.1565 427.8102 23.4395 0.2235 1872 -1874 3 527.2158 427.4384 23.5003 0.3163 1873 -1875 3 528.2958 427.1456 23.6139 0.3649 1874 -1876 3 529.3448 426.7726 23.5991 0.3595 1875 -1877 3 530.2005 426.1389 23.4438 0.3848 1876 -1878 3 530.7165 425.1516 23.385 0.2703 1877 -1879 3 531.2679 424.3016 23.3173 0.207 1878 -1880 3 531.5379 423.3555 23.0975 0.2088 1879 -1881 3 532.1007 422.4128 22.932 0.285 1880 -1882 3 532.8798 421.58 22.8237 0.3456 1881 -1883 3 533.5856 420.6957 22.7819 0.3218 1882 -1884 3 534.3658 419.8835 22.7506 0.2512 1883 -1885 3 535.2513 419.1616 22.6977 0.1973 1884 -1886 3 536.2248 418.5976 22.5785 0.2013 1885 -1887 3 537.2533 418.1274 22.3495 0.2147 1886 -1888 3 537.688 417.3976 21.8805 0.2546 1887 -1889 3 538.5323 416.7889 21.4717 0.2274 1888 -1890 3 539.6557 416.7295 21.0987 0.2122 1889 -1891 3 540.6567 416.2158 20.6985 0.2468 1890 -1892 3 541.5559 415.7742 20.1519 0.2198 1891 -1893 3 542.4631 415.2503 19.5685 0.21 1892 -1894 3 543.5499 415.3349 19.0251 0.2343 1893 -1895 3 544.6161 415.6987 18.6286 0.1992 1894 -1896 3 545.6422 415.4962 18.2965 0.1739 1895 -1897 3 546.3069 414.6439 17.9582 0.1748 1896 -1898 3 546.9418 413.834 17.8153 0.2069 1897 -1899 3 547.7941 413.3592 17.7204 0.282 1898 -1900 3 548.81 413.0892 17.4249 0.3454 1899 -1901 3 549.7664 412.7586 16.9626 0.3197 1900 -1902 3 550.6266 412.2152 16.3927 0.2472 1901 -1903 3 551.6471 412.015 15.9057 0.19 1902 -1904 3 552.5543 411.5689 15.4225 0.2117 1903 -1905 3 553.4615 410.9111 15.0631 0.1675 1904 -1906 3 554.3824 410.696 15.4 0.1144 1905 -1907 3 474.9968 417.4033 35.8406 0.1165 1699 -1908 3 475.5047 418.2956 35.6213 0.1388 1907 -1909 3 476.0195 419.2634 35.6006 0.1403 1908 -1910 3 476.4005 420.3125 35.5474 0.1429 1909 -1911 3 476.7082 421.3844 35.6042 0.1479 1910 -1912 3 476.9725 422.438 35.8142 0.1575 1911 -1913 3 477.3763 423.4756 36.1108 0.1737 1912 -1914 3 477.6223 424.5498 36.4286 0.2132 1913 -1915 3 477.6463 425.6732 36.6136 0.2405 1914 -1916 3 477.7584 426.7795 36.7158 0.2202 1915 -1917 3 478.1497 427.7565 36.9043 0.2339 1916 -1918 3 478.7308 428.6328 37.1006 0.2443 1917 -1919 3 479.1255 429.6532 37.2534 0.2301 1918 -1920 3 479.4573 430.7309 37.4223 0.2536 1919 -1921 3 479.8748 431.7731 37.6239 0.2881 1920 -1922 3 480.3073 432.8095 37.8042 0.2594 1921 -1923 3 480.8129 433.8311 37.8913 0.1964 1922 -1924 3 481.3357 434.847 37.9442 0.1609 1923 -1925 3 481.7544 435.9075 38.0027 0.1583 1924 -1926 3 482.0827 436.9966 38.0324 0.1823 1925 -1927 3 482.4271 438.0708 38.0864 0.1919 1926 -1928 3 482.8492 439.1187 38.2068 0.1882 1927 -1929 3 483.1604 440.2089 38.3452 0.1992 1928 -1930 3 483.5802 441.2614 38.472 0.2564 1929 -1931 3 484.2312 442.1938 38.5664 0.3005 1930 -1932 3 484.9473 443.0849 38.6414 0.2679 1931 -1933 3 485.66 443.9704 38.752 0.2228 1932 -1934 3 486.4116 444.8238 38.8592 0.2185 1933 -1935 3 487.1918 445.6578 38.9889 0.2859 1934 -1936 3 487.9332 446.5226 39.1773 0.3497 1935 -1937 3 488.5727 447.4493 39.4464 0.3703 1936 -1938 3 489.2739 448.3393 39.7522 0.3504 1937 -1939 3 490.0416 449.1641 40.1058 0.2925 1938 -1940 3 490.7943 450.0016 40.5048 0.2164 1939 -1941 3 491.5974 450.8024 40.9181 0.1627 1940 -1942 3 492.4806 451.5242 41.3053 0.1411 1941 -1943 3 493.4129 452.1843 41.6746 0.1373 1942 -1944 3 494.3579 452.7414 42.1235 0.1373 1943 -1945 3 495.2365 453.2906 42.6944 0.1373 1944 -1946 3 496.1276 453.8019 43.3513 0.1373 1945 -1947 3 497.1241 454.2881 43.9522 0.1373 1946 -1948 3 498.1548 454.772 44.4545 0.1373 1947 -1949 3 498.9453 455.5843 44.8288 0.1373 1948 -1950 3 499.8491 456.2386 45.087 0.1373 1949 -1951 3 500.7105 456.9433 45.2609 0.1373 1950 -1952 3 501.3866 457.8631 45.3894 0.1373 1951 -1953 3 501.8625 458.8287 45.6288 0.1373 1952 -1954 3 502.0913 459.9052 45.892 0.1373 1953 -1955 3 502.51 460.9611 46.1174 0.1373 1954 -1956 3 503.3497 461.6955 46.3095 0.1373 1955 -1957 3 503.8256 462.6039 46.4713 0.1373 1956 -1958 3 504.1459 463.6438 46.6679 0.1373 1957 -1959 3 504.6767 464.6059 46.9272 0.1373 1958 -1960 3 504.9582 465.7121 47.1265 0.1373 1959 -1961 3 505.2224 466.8103 47.2805 0.1373 1960 -1962 3 505.267 467.9452 47.3936 0.1373 1961 -1963 3 505.362 469.0846 47.4709 0.1373 1962 -1964 3 505.7029 470.1771 47.5205 0.1373 1963 -1965 3 506.0484 471.2674 47.5614 0.1373 1964 -1966 3 505.9134 472.3668 47.6174 0.1373 1965 -1967 3 506.5975 473.155 47.689 0.1373 1966 -1968 3 507.3423 473.997 47.7761 0.1373 1967 -1969 3 508.0115 474.8607 47.9713 0.1373 1968 -1970 3 508.5949 475.777 48.2275 0.1373 1969 -1971 3 508.9118 476.8741 48.44 0.1373 1970 -1972 3 508.9118 477.9918 48.6125 0.1373 1971 -1973 3 509.04 479.0088 48.7662 0.1373 1972 -1974 3 509.7973 479.8565 48.9227 0.1373 1973 -1975 3 510.5992 480.6699 49.0372 0.1373 1974 -1976 3 511.471 481.4101 49.135 0.1373 1975 -1977 3 512.2466 482.2509 49.2355 0.1373 1976 -1978 3 513.0771 483.0277 49.341 0.1373 1977 -1979 3 514.0026 483.6786 49.4586 0.1373 1978 -1980 3 514.2497 484.7528 49.6955 0.1373 1979 -1981 3 514.7451 485.7058 49.9792 0.1373 1980 -1982 3 515.5688 486.5009 50.2326 0.1373 1981 -1983 3 516.4176 487.2651 50.4619 0.1373 1982 -1984 3 517.2013 488.0727 50.7007 0.1373 1983 -1985 3 517.8224 489.0154 50.9858 0.1373 1984 -1986 3 518.4448 489.958 51.3036 0.1373 1985 -1987 3 519.3428 490.6101 51.6118 0.1373 1986 -1988 3 520.186 491.3137 51.9492 0.1373 1987 -1989 3 520.8598 492.1911 52.3502 0.1373 1988 -1990 3 521.5336 493.0686 52.7817 0.1373 1989 -1991 3 522.2337 493.9254 53.2059 0.1373 1990 -1992 3 523.1295 494.6381 53.5226 0.1373 1991 -1993 3 524.0241 495.3509 53.7533 0.1373 1992 -1994 3 524.9278 496.051 53.9137 0.1373 1993 -1995 3 525.8568 496.7202 54.0263 0.1373 1994 -1996 3 526.5008 497.6308 54.1206 0.1373 1995 -1997 3 527.0328 498.6433 54.2223 0.1373 1996 -1998 3 527.5831 499.6466 54.3516 0.1373 1997 -1999 3 528.1505 500.5869 54.6034 0.1373 1998 -2000 3 528.6699 501.5616 54.9268 0.1373 1999 -2001 3 529.3894 502.4105 55.2661 0.1373 2000 -2002 3 530.2108 503.1861 55.6254 0.1373 2001 -2003 3 531.0528 503.9274 55.9885 0.1373 2002 -2004 3 532.135 504.2992 56.2876 0.1372 2003 -2005 3 533.2058 504.6985 56.5323 0.1372 2004 -2006 3 534.3075 504.9536 56.7459 0.1372 2005 -2007 3 535.4458 505.0646 56.9444 0.1371 2006 -2008 3 535.8279 505.6251 57.4504 0.137 2007 -2009 3 536.0006 506.7085 57.8799 0.1368 2008 -2010 3 536.7476 507.4887 58.2092 0.1363 2009 -2011 3 537.6434 508.2014 58.4455 0.136 2010 -2012 3 538.538 508.913 58.5959 0.1357 2011 -2013 3 539.2301 509.7881 58.6692 0.1352 2012 -2014 3 539.7323 510.8166 58.6748 0.1345 2013 -2015 3 540.0801 511.8954 58.6748 0.1324 2014 -2016 3 540.5183 512.9399 58.6748 0.1297 2015 -2017 3 541.0571 513.9489 58.6748 0.1272 2016 -2018 3 541.5181 514.9739 58.6748 0.1144 2017 -2019 3 541.6131 516.1145 58.6748 0.1144 2018 -2020 3 457.1001 408.511 37.3736 0.1885 1680 -2021 3 456.1574 408.8462 38.6271 0.1547 2020 -2022 3 455.0477 408.9674 39.1286 0.1391 2021 -2023 3 453.9209 409.0795 39.6609 0.1373 2022 -2024 3 452.9313 409.5737 40.2478 0.1373 2023 -2025 3 451.8171 409.7716 40.8122 0.1373 2024 -2026 3 450.7234 409.7934 41.4481 0.1373 2025 -2027 3 449.8769 410.4134 42.1674 0.1373 2026 -2028 3 448.893 410.9774 42.8658 0.1373 2027 -2029 3 448.1334 411.6798 43.6738 0.1373 2028 -2030 3 447.3555 412.4795 44.4763 0.1373 2029 -2031 3 446.4872 413.0401 45.3373 0.1373 2030 -2032 3 445.4599 413.1659 46.1894 0.1373 2031 -2033 3 444.9096 414.0525 47.0747 0.1373 2032 -2034 3 444.3982 415.0226 47.9251 0.1373 2033 -2035 3 443.8011 415.8246 48.8477 0.1373 2034 -2036 3 443.1799 416.6734 49.7605 0.1373 2035 -2037 3 442.8447 417.6618 50.6436 0.1373 2036 -2038 3 442.5793 418.6457 51.5441 0.1373 2037 -2039 3 442.0038 419.5654 52.383 0.1373 2038 -2040 3 441.1333 420.2598 53.1166 0.1373 2039 -2041 3 440.4411 421.087 53.7382 0.1373 2040 -2042 3 440.6459 422.0502 54.3396 0.1373 2041 -2043 3 441.0726 423.0375 55.008 0.1372 2042 -2044 3 441.0086 424.0888 55.7684 0.1372 2043 -2045 3 440.4045 424.8313 56.6826 0.1372 2044 -2046 3 439.8142 425.5943 57.731 0.137 2045 -2047 3 439.4836 426.5415 58.835 0.1368 2046 -2048 3 439.0375 427.5059 59.9082 0.1365 2047 -2049 3 438.0868 428.0162 60.7858 0.1357 2048 -2050 3 437.199 428.2884 61.7162 0.1343 2049 -2051 3 436.2678 428.1546 62.673 0.1315 2050 -2052 3 435.2726 427.7576 63.5373 0.1273 2051 -2053 3 434.1652 427.6078 64.2586 0.1149 2052 -2054 3 433.1184 427.9704 65.52 0.1144 2053 diff --git a/examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_marker_m.swc b/examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_marker_m.swc deleted file mode 100644 index 3f43929..0000000 --- a/examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_marker_m.swc +++ /dev/null @@ -1,13 +0,0 @@ -##x,y,z,radius,shape,name,comment, color_r,color_g,color_b -438.4952,468.9256,13.16,0.0, 1, 10, , 187,168,39 -472.0144,411.268,19.88,0.0, 1, 10, , 187,168,39 -554.4968,410.8104,15.68,0.0, 1, 10, , 187,168,39 -364.936,407.6072,12.6,0.0, 1, 10, , 187,168,39 -482.4248,405.0904,12.6,0.0, 1, 10, , 187,168,39 -552.2088,127.0984,12.04,0.0, 1, 10, , 187,168,39 -435.0769,373.8249,15.5543,0.0, 1, 10, , 187,168,39 -399.1416,437.4656,76.44,0.0, 1, 10, , 187,168,39 -455.0832,63.2632,82.6,0.0, 1, 10, , 187,168,39 -406.3488,70.8136,73.64,0.0, 1, 10, , 187,168,39 -435.0632,521.3208,14.28,0.0, 1, 20, , 187,168,39 -450.7395,405.1169,9.9252,0.0, 1, 30, , 187,168,39 diff --git a/examples/single_cell/README b/examples/single_cell/README new file mode 100644 index 0000000..557730b --- /dev/null +++ b/examples/single_cell/README @@ -0,0 +1 @@ +Please visit http://alleninstitute.github.io/AllenSDK/ for instructions on running this model. diff --git a/examples/single_cell/ephys_sweeps.json b/examples/single_cell/ephys_sweeps.json new file mode 100644 index 0000000..9ceddce --- /dev/null +++ b/examples/single_cell/ephys_sweeps.json @@ -0,0 +1,2930 @@ +[ + { + "bridge_balance_mohm": 20.0244197845459, + "id": 484635523, + "leak_pa": null, + "num_spikes": null, + "peak_deflection": -67.3750076293945, + "post_noise_rms_mv": 0.050417710095644, + "post_vm_mv": -73.3190383911133, + "pre_noise_rms_mv": 0.045856386423111, + "pre_vm_mv": -73.1727676391602, + "slow_noise_rms_mv": 0.104276984930038, + "slow_vm_mv": -73.1727676391602, + "specimen_id": 484635029, + "stimulus_absolute_amplitude": 69.9999988529321, + "stimulus_description": "C1LSCOARSE150217[17]", + "stimulus_duration": 0.999995, + "stimulus_interval": null, + "stimulus_name": "Long Square", + "stimulus_relative_amplitude": 1.0, + "stimulus_start_time": 1.02, + "stimulus_units": "Amps", + 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b/examples/single_cell/manifest.json index 9e724e0..78534a5 100644 --- a/examples/single_cell/manifest.json +++ b/examples/single_cell/manifest.json @@ -1,68 +1,273 @@ { "biophys": [ { + "model_type": "Biophysical - all active", "model_file": [ "manifest.json", - "386049446_fit.json" - ], - "model_type": "Biophysical - perisomatic" + "fit_parameters.json" + ] } ], "runs": [ { + "sweeps_by_type": { + "Long Square": [ + 50, + 72, + 42, + 57, + 33, + 71, + 38, + 74, + 48, + 40, + 52, + 59, + 76, + 70, + 35, + 51, + 47, + 45, + 53, + 43, + 39, + 54, + 61, + 65, + 36, + 37, + 62, + 34, + 60, + 66, + 55, + 44, + 68, + 63, + 58, + 67, + 88, + 69, + 56, + 75 + ], + "Short Square - Triple": [ + 108, + 118, + 104, + 113, + 110, + 109, + 107, + 102, + 106, + 117, + 120, + 122, + 124, + 116, + 123, + 119, + 114, + 105, + 111, + 115, + 112, + 121, + 101, + 103 + ], + "Short Square": [ + 23, + 9, + 21, + 7, + 25, + 31, + 16, + 14, + 20, + 13, + 29, + 26, + 12, + 17, + 32, + 28, + 11, + 15, + 19, + 18, + 10, + 27, + 24, + 30, + 22, + 8 + ], + "Ramp to Rheobase": [ + 127, + 125, + 126 + ], + "Square - 2s Suprathreshold": [ + 96, + 89, + 100, + 99, + 98, + 97, + 94, + 92, + 93, + 91 + ], + "Noise 1": [ + 81, + 79, + 83, + 77 + ], + "Noise 2": [ + 80, + 84, + 82, + 78 + ], + "Ramp": [ + 5, + 4, + 6 + ], + "Square - 0.5ms Subthreshold": [ + 86 + ] + }, "sweeps": [ - 4, + 50, + 108, + 23, + 72, + 9, + 21, + 7, + 25, + 42, + 127, + 118, + 57, + 33, + 71, + 31, + 38, + 96, + 81, + 16, + 0, + 14, + 80, + 74, + 104, + 48, 5, + 40, + 113, + 52, + 110, + 20, + 125, + 4, 6, - 7, - 9, - 10, - 11, - 12, + 89, + 59, + 79, + 76, + 70, + 109, + 100, + 107, + 83, + 102, 13, - 14, - 15, - 16, - 17, - 18, - 19, - 21, - 22, - 23, - 24, - 26, - 27, - 28, + 35, + 51, 29, - 30, - 31, + 47, + 84, + 99, + 106, + 26, + 117, + 120, + 45, + 130, + 98, + 53, + 12, + 97, + 126, + 43, + 129, + 122, + 124, + 86, + 17, + 82, + 39, + 54, + 61, 32, - 33, - 34, - 35, + 65, + 116, + 28, + 123, + 128, + 94, + 119, + 11, 36, 37, - 38, - 39, - 40, - 41, - 42, - 43, + 15, + 19, + 78, + 18, + 62, + 114, + 34, + 10, + 105, + 60, + 27, + 92, + 111, + 66, + 115, + 55, 44, - 46, - 47, - 48, - 49, - 50, - 51, - 56, - 57, + 68, + 112, + 63, + 1, + 93, + 121, + 24, 58, - 59, - 60, - 61, - 62, - 63 + 30, + 22, + 8, + 2, + 67, + 91, + 77, + 88, + 101, + 3, + 69, + 56, + 103, + 75 ] } ], @@ -70,7 +275,8 @@ { "hoc": [ "stdgui.hoc", - "import3d.hoc" + "import3d.hoc", + "cell.hoc" ] } ], @@ -88,12 +294,12 @@ }, { "type": "file", - "spec": "Nr5a1-Cre_Ai14-177334.05.01.01_491459171_m.swc", + "spec": "reconstruction.swc", "key": "MORPHOLOGY" }, { "type": "file", - "spec": "Nr5a1-Cre_Ai14-177334.05.01.01_491459171_marker_m.swc", + "spec": "reconstruction.marker", "key": "MARKER" }, { @@ -104,14 +310,14 @@ { "type": "file", "format": "NWB", - "spec": "386049444.nwb", + "spec": "484635027_ephys.nwb", "key": "stimulus_path" }, { "parent_key": "WORKDIR", "type": "file", "format": "NWB", - "spec": "386049444.nwb", + "spec": "484635027_ephys.nwb", "key": "output_path" } ] diff --git a/examples/single_cell/model_metadata.json b/examples/single_cell/model_metadata.json new file mode 100644 index 0000000..d938d7e --- /dev/null +++ b/examples/single_cell/model_metadata.json @@ -0,0 +1,143 @@ +{ + "id": 496538965, + "name": "Biophysical - all active_Pvalb-IRES-Cre;Ai14-201791.05.01.01", + "neuron_reconstruction_id": 496079599, + "neuronal_model_template_id": 491455321, + "specimen_id": 484635029, + "specimen": { + "cell_prep_sample_id": null, + "cell_reporter_id": 491913822, + "cortex_layer_id": null, + "data": null, + "donor_id": 481097868, + "ephys_result_id": 484635027, + "external_specimen_name": null, + "failed_facet": 734881840, + "hemisphere": "left", + "id": 484635029, + "is_cell_specimen": true, + "is_ish": false, + "name": "Pvalb-IRES-Cre;Ai14-201791.05.01.01", + "parent_id": 484614687, + "parent_x_coord": 0, + "parent_y_coord": 0, + "parent_z_coord": 1, + "pinned_radius": null, + "rna_integrity_number": null, + "specimen_id_path": "/481097870/484614460/484614687/484635029/", + "sphinx_id": 640385, + "structure_id": 821, + "tissue_ph": null, + "treatment_id": 680087734, + "weight": 9000, + "donor": { + "age_id": 298414241, + "chemotherapy": null, + "condition_description": null, + "data": null, + "date_of_birth": "2015-06-05T00:00:00Z", + "donor_condition_description_facet": null, + "donor_race_only_facet": null, + "donor_sex_facet": 1306038106, + "donor_strain_facet": null, + "donor_strain_only_facet": null, + "egfr_amplification": null, + "extent_of_resection": null, + "external_donor_name": "201791", + "full_genotype": "Pvalb-IRES-Cre/wt;Ai14(RCL-tdT)/wt", + "handedness": null, + "id": 481097868, + "initial_kps": null, + "mgmt_ihc": null, + "mgmt_methylation": null, + "molecular_subtype": null, + "multifocal": null, + "name": "Pvalb-IRES-Cre;Ai14-201791", + "organism_id": 2, + "pmi": null, + "primary_tissue_source": null, + "pten_deletion": null, + "race_only": null, + "radiation_therapy": null, + "recurrence_by_six_months": null, + "sex": "F", + "sex_full_name": "Female", + "sleep_state": null, + "smoker": null, + "strain": null, + "strain_only": "", + "survival_days": null, + "tags": "Pvalb-IRES-Cre;Ai14-201791 ", + "theiler_stage": null, + "time_to_progression_or_recurrence": null, + "transgenic_mouse_id": 54, + "tumor_status": null, + "weight_grams": null, + "transgenic_lines": [ + { + "description": "tdTomato fluorescent protein is expressed in cytoplasm", + "id": 177836291, + "name": "Ai14(RCL-tdT)", + "originating_lab": "Allen Institute for Brain Science", + "stock_number": "007914", + "sub_image_annotation_id": 21592, + "transgenic_line_source_name": "JAX", + "transgenic_line_type_code": "R", + "transgenic_line_type_name": "reporter", + "url_prefix": "http://jaxmice.jax.org/strain/", + "url_suffix": ".html" + }, + { + "description": "Expressed in restricted and/or sparse populations within the cerebellum, medulla, pons, midbrain, cortex, hippocampus, thalamus, and striatum.", + "id": 177837858, + "name": "Pvalb-IRES-Cre", + "originating_lab": "Silvia Arber", + "stock_number": "008069", + "sub_image_annotation_id": 22037, + "transgenic_line_source_name": "JAX", + "transgenic_line_type_code": "D", + "transgenic_line_type_name": "driver", + "url_prefix": "http://jaxmice.jax.org/strain/", + "url_suffix": ".html" + } + ] + }, + "specimen_tags": [ + { + "name": "apical - NA" + }, + { + "name": "dendrite type - aspiny" + } + ], + "structure": { + "acronym": "VISp2/3", + "atlas_id": 951, + "color_hex_triplet": "08858C", + "depth": 8, + "failed": false, + "failed_facet": 734881840, + "graph_id": 1, + "graph_order": 187, + "hemisphere_id": 3, + "id": 821, + "name": "Primary visual area, layer 2/3", + "neuro_name_structure_id": null, + "neuro_name_structure_id_path": null, + "ontology_id": 1, + "parent_structure_id": 385, + "safe_name": "Primary visual area layer 2/3", + "sphinx_id": 188, + "st_level": 11, + "structure_id_path": "/997/8/567/688/695/315/669/385/821/", + "structure_name_facet": 2317291160, + "weight": 8690 + } + }, + "neuronal_model_runs": [ + { + "explained_variance_ratio": 0.960605895946609, + "rheobase_feature_average": 8.05961996027394 + } + ] +} \ No newline at end of file diff --git a/examples/single_cell/reconstruction.marker b/examples/single_cell/reconstruction.marker new file mode 100644 index 0000000..168c961 --- /dev/null +++ b/examples/single_cell/reconstruction.marker @@ -0,0 +1,9 @@ +##x,y,z,radius,shape,name,comment, color_r,color_g,color_b +615.4228,419.7782,14.9257,0.0, 1, 10, , 186,4,173 +546.3183,452.0424,15.489,0.0, 1, 10, , 186,4,173 +750.9765,340.6775,15.1001,0.0, 1, 10, , 186,4,173 +662.5121,404.4486,16.3579,0.0, 1, 10, , 186,4,173 +654.3348,380.507,16.4279,0.0, 1, 10, , 186,4,173 +507.2427,531.7289,17.7422,0.0, 1, 10, , 186,4,173 +621.4189,435.386,15.12,0.0, 1, 30, , 186,4,173 +631.4697,425.981,33.5552,0.0, 1, 20, , 186,4,173 diff --git a/examples/single_cell/reconstruction.swc b/examples/single_cell/reconstruction.swc new file mode 100644 index 0000000..7db2be0 --- /dev/null +++ b/examples/single_cell/reconstruction.swc @@ -0,0 +1,1722 @@ +# generated by Vaa3D Plugin sort_neuron_swc +# source file(s): C:/Users/alexh/Desktop/For Staci/Pvalb-IRES-Cre_Ai14-201791.05.01.01_485697660_p_Dendrite.swc_Z_T10.swc +# id,type,x,y,z,r,pid +1 1 622.4321 435.3069 34.1561 7.2999 -1 +2 3 627.2746 432.2307 33.4614 0.1814 1 +3 3 628.2379 431.6186 33.2002 0.2266 2 +4 3 629.1634 430.9482 32.9627 0.2666 3 +5 3 630.1118 430.3408 32.6956 0.2107 4 +6 3 631.2272 430.1898 32.4176 0.1653 5 +7 3 632.3323 429.8946 32.2283 0.1422 6 +8 3 633.4591 429.7676 32.163 0.1463 7 +9 3 634.5745 429.572 32.0653 0.154 8 +10 3 635.3662 429.2974 31.8802 0.2288 9 +11 3 636.3454 428.7369 31.0352 0.2611 10 +12 3 636.9952 427.9304 30.609 0.2516 11 +13 3 637.613 426.9991 30.1473 0.2223 12 +14 3 637.9573 425.9146 29.7245 0.2242 13 +15 3 638.0122 424.7935 29.304 0.2979 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38 +40 3 655.9902 408.8519 16.1372 0.17 39 +41 3 656.6949 407.9515 16.1285 0.187 40 +42 3 657.4065 407.0569 16.124 0.1676 41 +43 3 658.4052 406.5124 16.1302 0.1511 42 +44 3 659.4233 405.9896 16.1362 0.1398 43 +45 3 660.406 405.4039 16.1283 0.1398 44 +46 3 661.4837 405.0218 16.1139 0.1525 45 +47 3 662.3977 404.3342 16.0779 0.1144 46 +48 3 644.6657 415.8772 26.0817 0.1144 25 +49 3 645.7823 415.6575 25.934 0.1373 48 +50 3 646.8908 415.3887 25.8681 0.1373 49 +51 3 648.0188 415.375 25.7663 0.1374 50 +52 3 649.0438 415.82 25.6449 0.1374 51 +53 3 649.975 416.4812 25.4784 0.1375 52 +54 3 650.8674 417.1974 25.2539 0.1377 53 +55 3 651.8363 417.6996 24.8829 0.1381 54 +56 3 652.8602 417.8117 24.3127 0.1389 55 +57 3 653.8841 417.9181 23.6066 0.1403 56 +58 3 654.908 418.0245 22.8259 0.1425 57 +59 3 655.933 418.1309 22.0304 0.1477 58 +60 3 657.0186 417.7842 21.4354 0.154 59 +61 3 658.0734 417.3415 21.0387 0.1808 60 +62 3 659.0893 416.8141 20.8072 0.1567 61 +63 3 660.0788 416.2421 20.6941 0.1271 62 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597.5478 21.66 0.1373 1510 +1512 3 557.6966 597.5478 21.66 0.1373 1511 +1513 3 556.5537 597.5959 21.66 0.1373 1512 +1514 3 555.6156 598.1496 21.66 0.1373 1513 +1515 3 555.3193 599.1963 21.66 0.1373 1514 +1516 3 554.8961 600.2431 21.66 0.1373 1515 +1517 3 554.2016 601.1445 21.66 0.1373 1516 +1518 3 553.4249 601.9854 21.66 0.1373 1517 +1519 3 552.7122 602.8788 21.66 0.1373 1518 +1520 3 551.8908 603.6694 21.66 0.1373 1519 +1521 3 550.8063 603.921 21.66 0.1373 1520 +1522 3 549.819 604.4656 21.66 0.1372 1521 +1523 3 548.9713 605.2309 21.66 0.1372 1522 +1524 3 548.1018 605.9745 21.66 0.1371 1523 +1525 3 547.253 606.741 21.66 0.1368 1524 +1526 3 546.3858 607.488 21.66 0.1364 1525 +1527 3 545.4901 608.1984 21.66 0.1356 1526 +1528 3 544.838 609.1354 21.66 0.1342 1527 +1529 3 544.4033 610.1913 21.66 0.1313 1528 +1530 3 544.0841 611.2895 21.66 0.1271 1529 +1531 3 543.5739 612.3134 21.66 0.1144 1530 +1532 3 542.4859 612.6578 21.66 0.1144 1531 +1533 3 605.3041 460.8078 31.7386 0.1144 1369 +1534 3 604.5868 461.6909 31.46 0.1798 1533 +1535 3 603.6774 462.3739 31.3645 0.2269 1534 +1536 3 602.8743 463.1484 31.1685 0.2513 1535 +1537 3 602.1581 464.0258 30.9478 0.2576 1536 +1538 3 601.6159 465.0326 30.7468 0.2309 1537 +1539 3 600.9787 465.9775 30.5494 0.2531 1538 +1540 3 600.2911 466.8698 30.3164 0.2893 1539 +1541 3 599.5567 467.7278 30.0807 0.2655 1540 +1542 3 598.7376 468.5252 29.911 0.2055 1541 +1543 3 597.9494 469.3535 29.7909 0.1717 1542 +1544 3 597.0811 470.0982 29.7094 0.1902 1543 +1545 3 596.1842 470.8029 29.6604 0.1734 1544 +1546 3 595.4028 471.638 29.6349 0.1627 1545 +1547 3 594.602 472.4491 29.615 0.1582 1546 +1548 3 593.927 473.3712 29.5884 0.1888 1547 +1549 3 593.1331 474.1949 29.5551 0.1707 1548 +1550 3 592.2911 474.9682 29.5126 0.1571 1549 +1551 3 591.4366 475.7072 29.4328 0.1502 1550 +1552 3 590.7467 476.5927 29.297 0.1622 1551 +1553 3 590.0935 477.5193 29.2057 0.1783 1552 +1554 3 589.5375 478.494 29.2121 0.239 1553 +1555 3 588.985 479.4779 29.2757 0.2019 1554 +1556 3 588.397 480.4228 29.267 0.1725 1555 +1557 3 587.6968 481.2808 29.1586 0.1554 1556 +1558 3 586.8857 482.077 29.0346 0.1717 1557 +1559 3 586.0083 482.808 28.9198 0.1962 1558 +1560 3 585.1697 483.578 28.8319 0.2701 1559 +1561 3 584.417 484.436 28.7818 0.2696 1560 +1562 3 583.7214 485.3431 28.754 0.2489 1561 +1563 3 582.9355 486.1325 28.6728 0.1926 1562 +1564 3 582.2022 486.9894 28.5656 0.1751 1563 +1565 3 581.4014 487.8039 28.4796 0.1787 1564 +1566 3 580.8969 488.8163 28.4455 0.2396 1565 +1567 3 580.1556 489.592 28.5468 0.2028 1566 +1568 3 579.1592 490.1079 28.5404 0.1748 1567 +1569 3 578.3835 490.9487 28.5216 0.1571 1568 +1570 3 577.537 491.7187 28.4805 0.1867 1569 +1571 3 577.0359 491.7381 28.3721 0.1669 1570 +1572 3 575.9228 491.7816 28.1638 0.15 1571 +1573 3 574.7822 491.7953 27.9552 0.1373 1572 +1574 3 573.6382 491.7953 27.8071 0.1373 1573 +1575 3 572.4942 491.7953 27.7024 0.1373 1574 +1576 3 571.3502 491.8113 27.6371 0.1373 1575 +1577 3 570.2371 492.0722 27.6071 0.1373 1576 +1578 3 569.2395 492.6327 27.6013 0.1373 1577 +1579 3 568.2099 493.1304 27.6012 0.1373 1578 +1580 3 567.1197 493.4724 27.6012 0.1373 1579 +1581 3 566.0752 493.9403 27.6012 0.1373 1580 +1582 3 565.0399 494.4265 27.6011 0.1373 1581 +1583 3 563.9634 494.8132 27.6011 0.1373 1582 +1584 3 562.8674 495.1369 27.601 0.1373 1583 +1585 3 561.8573 495.6735 27.6009 0.1373 1584 +1586 3 560.8792 496.2375 27.6008 0.1373 1585 +1587 3 559.7603 496.4502 27.6006 0.1373 1586 +1588 3 558.6918 496.8586 27.6003 0.1373 1587 +1589 3 557.6062 497.2133 27.6 0.1373 1588 +1590 3 556.4874 497.4467 27.5994 0.1373 1589 +1591 3 555.3788 497.7132 27.5987 0.1373 1590 +1592 3 554.2405 497.8333 27.5977 0.1373 1591 +1593 3 553.1011 497.9352 27.5962 0.1373 1592 +1594 3 551.98 498.0804 27.5942 0.1373 1593 +1595 3 550.9596 498.5861 27.5914 0.1373 1594 +1596 3 549.9688 499.1249 27.5874 0.1373 1595 +1597 3 548.8569 499.396 27.5819 0.1373 1596 +1598 3 547.7392 499.6351 27.5742 0.1373 1597 +1599 3 546.6169 499.8536 27.5635 0.1373 1598 +1600 3 545.5038 500.1145 27.5484 0.1373 1599 +1601 3 544.3747 500.2952 27.5273 0.1373 1600 +1602 3 543.2376 500.4199 27.4978 0.1373 1601 +1603 3 542.097 500.492 27.4565 0.1373 1602 +1604 3 540.953 500.5046 27.3992 0.1373 1603 +1605 3 539.8193 500.6167 27.3193 0.1373 1604 +1606 3 538.7313 500.953 27.2058 0.1373 1605 +1607 3 537.6789 501.398 27.0457 0.1373 1606 +1608 3 536.6138 501.8122 26.826 0.1373 1607 +1609 3 535.5407 502.1634 26.536 0.1373 1608 +1610 3 534.4459 502.2721 26.1054 0.1373 1609 +1611 3 533.4506 502.3224 25.4317 0.1373 1610 +1612 3 532.4931 502.3224 24.5642 0.1373 1611 +1613 3 531.5356 502.3224 23.5824 0.1373 1612 +1614 3 530.578 502.3224 22.5602 0.1373 1613 +1615 3 529.5439 502.3224 21.6533 0.1373 1614 +1616 3 528.6836 503.0237 21.0174 0.1373 1615 +1617 3 528.4308 504.075 20.618 0.1373 1616 +1618 3 527.336 504.3839 20.3983 0.1373 1617 +1619 3 526.1942 504.4205 20.3013 0.1373 1618 +1620 3 525.0754 504.6413 20.2752 0.1373 1619 +1621 3 524.0229 505.0886 20.2739 0.1373 1620 +1622 3 523.0013 505.6045 20.2719 0.1373 1621 +1623 3 522.045 506.2028 20.2692 0.1374 1622 +1624 3 521.2968 506.9956 20.2654 0.1374 1623 +1625 3 520.1642 507.1604 20.2602 0.1375 1624 +1626 3 519.0568 507.388 20.2528 0.1377 1625 +1627 3 518.049 507.9291 20.2424 0.1381 1626 +1628 3 517.1143 508.5709 20.228 0.1388 1627 +1629 3 516.4805 509.4918 20.208 0.14 1628 +1630 3 516.1316 510.5798 20.1798 0.1424 1629 +1631 3 515.6511 511.6151 20.1394 0.1469 1630 +1632 3 515.1203 512.6264 20.0837 0.155 1631 +1633 3 514.5186 513.5816 20.0106 0.1711 1632 +1634 3 513.799 514.4671 19.908 0.1952 1633 +1635 3 513.3025 515.4681 19.7397 0.268 1634 +1636 3 513.108 516.5698 19.5013 0.2658 1635 +1637 3 513.0783 517.7058 19.2535 0.2418 1636 +1638 3 513.0783 518.8486 19.0173 0.1796 1637 +1639 3 512.8529 519.9366 18.7706 0.15 1638 +1640 3 512.2718 520.9101 18.5422 0.1373 1639 +1641 3 511.6757 521.8711 18.316 0.1372 1640 +1642 3 510.8624 522.5552 18.0577 0.1372 1641 +1643 3 510.2046 523.4017 17.8316 0.1371 1642 +1644 3 509.8842 524.4965 17.6686 0.1368 1643 +1645 3 509.112 525.287 17.5614 0.1364 1644 +1646 3 508.484 526.232 17.4976 0.1356 1645 +1647 3 508.0584 527.2913 17.4685 0.1342 1646 +1648 3 507.7758 528.3999 17.4623 0.1313 1647 +1649 3 507.1283 529.3265 17.4622 0.1271 1648 +1650 3 507.1283 530.4705 17.4622 0.1144 1649 +1651 3 507.1283 531.6145 17.4622 0.1144 1650 +1652 3 576.9718 492.6419 28.728 0.1144 1570 +1653 3 576.2591 493.5353 28.6527 0.1373 1652 +1654 3 575.5098 494.4002 28.623 0.1373 1653 +1655 3 574.8188 495.3062 28.5821 0.1373 1654 +1656 3 574.2571 496.3027 28.5236 0.1373 1655 +1657 3 573.7149 497.3094 28.4382 0.1373 1656 +1658 3 573.1497 498.3035 28.3214 0.1373 1657 +1659 3 572.6303 499.3228 28.173 0.1373 1658 +1660 3 572.1464 500.3581 27.987 0.1373 1659 +1661 3 571.8764 500.9702 27.5929 0.1373 1660 +1662 3 571.5298 501.4415 27.0419 0.1373 1661 +1663 3 570.9315 502.4116 26.6098 0.1373 1662 +1664 3 570.3618 503.4023 26.2898 0.1373 1663 +1665 3 569.6411 504.2809 26.0736 0.1373 1664 +1666 3 568.8471 505.1046 25.9515 0.1373 1665 +1667 3 568.2477 506.0576 25.9115 0.1373 1666 +1668 3 567.8564 507.1318 25.9115 0.1373 1667 +1669 3 567.1792 507.9543 25.9115 0.1373 1668 +1670 3 566.1873 508.5229 25.9114 0.1373 1669 +1671 3 565.3133 509.2436 25.9114 0.1373 1670 +1672 3 565.0342 510.2823 25.9114 0.1373 1671 +1673 3 564.7985 511.3909 25.9113 0.1373 1672 +1674 3 564.1796 512.3312 25.9113 0.1373 1673 +1675 3 563.4692 513.2281 25.9112 0.1373 1674 +1676 3 562.745 514.1136 25.9111 0.1373 1675 +1677 3 562.0564 515.0254 25.911 0.1373 1676 +1678 3 561.4969 516.0206 25.9108 0.1373 1677 +1679 3 560.9478 517.0228 25.9105 0.1373 1678 +1680 3 560.171 517.8453 25.9101 0.1373 1679 +1681 3 559.2524 518.5249 25.9096 0.1373 1680 +1682 3 558.2754 519.1186 25.9088 0.1373 1681 +1683 3 557.2195 519.5476 25.9078 0.1373 1682 +1684 3 556.2025 520.0624 25.9063 0.1373 1683 +1685 3 555.1695 520.5497 25.9043 0.1373 1684 +1686 3 554.1948 521.14 25.9014 0.1373 1685 +1687 3 553.2704 521.8139 25.8974 0.1373 1686 +1688 3 552.2923 522.403 25.8918 0.1373 1687 +1689 3 551.2753 522.9281 25.8839 0.1373 1688 +1690 3 550.5694 523.7804 25.873 0.1373 1689 +1691 3 549.7103 524.5068 25.8579 0.1373 1690 +1692 3 548.8855 525.2939 25.8363 0.1373 1691 +1693 3 548.1659 526.1817 25.8055 0.1373 1692 +1694 3 547.4257 527.0534 25.7633 0.1373 1693 +1695 3 546.5346 527.7615 25.7075 0.1373 1694 +1696 3 545.871 528.6733 25.6358 0.1373 1695 +1697 3 545.1812 529.569 25.4914 0.1373 1696 +1698 3 544.4731 530.4625 25.3206 0.1373 1697 +1699 3 543.5853 531.1786 25.1411 0.1373 1698 +1700 3 542.6221 531.7941 24.9399 0.1373 1699 +1701 3 541.5948 532.294 24.7065 0.1373 1700 +1702 3 540.6796 532.9759 24.4375 0.1373 1701 +1703 3 539.7827 533.6863 24.1349 0.1373 1702 +1704 3 539.412 534.1508 23.4758 0.1373 1703 +1705 3 538.9258 534.677 22.5882 0.1373 1704 +1706 3 538.0507 535.2856 21.8195 0.1373 1705 +1707 3 536.9822 535.6688 21.2447 0.1373 1706 +1708 3 535.9583 536.1699 20.8496 0.1373 1707 +1709 3 535.6322 537.235 20.6181 0.1372 1708 +1710 3 535.6185 538.3778 20.5323 0.1372 1709 +1711 3 535.5487 539.5196 20.5201 0.1371 1710 +1712 3 535.1106 540.5732 20.5201 0.1368 1711 +1713 3 534.6312 541.6119 20.5201 0.1364 1712 +1714 3 533.5399 541.9105 20.5201 0.1356 1713 +1715 3 533.009 542.9149 20.5201 0.1342 1714 +1716 3 532.8489 544.0475 20.5201 0.1313 1715 +1717 3 532.5366 545.148 20.5201 0.1271 1716 +1718 3 532.0927 546.2017 20.5201 0.1144 1717 +1719 3 531.499 547.1798 20.5201 0.1144 1718 diff --git a/examples/single_cell/singleCellTutorial1.ipynb b/examples/single_cell/singleCellTutorial1.ipynb index 6008922..5c623fb 100644 --- a/examples/single_cell/singleCellTutorial1.ipynb +++ b/examples/single_cell/singleCellTutorial1.ipynb @@ -2,20 +2,36 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "/home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/386049446_fit.json\n", - "/home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/Nr5a1-Cre_Ai14-177334.05.01.01_491459171_m.swc\n", + "/home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/fit_parameters.json\n", + "/home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/reconstruction.swc\n", "/home/gjgpb9/cortex_modeling/bmtool/examples/single_cell\n", "Mod files: \"modfiles/modfiles/CaDynamics.mod\" \"modfiles/modfiles/Ca_HVA.mod\" \"modfiles/modfiles/Ca_LVA.mod\" \"modfiles/modfiles/Ih.mod\" \"modfiles/modfiles/Im.mod\" \"modfiles/modfiles/Im_v2.mod\" \"modfiles/modfiles/Kd.mod\" \"modfiles/modfiles/K_P.mod\" \"modfiles/modfiles/K_T.mod\" \"modfiles/modfiles/Kv2like.mod\" \"modfiles/modfiles/Kv3_1.mod\" \"modfiles/modfiles/Nap.mod\" \"modfiles/modfiles/NaTa.mod\" \"modfiles/modfiles/NaTs.mod\" \"modfiles/modfiles/NaV.mod\" \"modfiles/modfiles/SK.mod\"\n", "\n", + "Creating 'x86_64' directory for .o files.\n", + "\n", " -> \u001b[32mCompiling\u001b[0m mod_func.cpp\n", - " => \u001b[32mLINKING\u001b[0m shared library ./libnrnmech.so\n" + " -> \u001b[32mNMODL\u001b[0m ../modfiles/CaDynamics.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Ca_HVA.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Ca_LVA.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Ih.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Im.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Im_v2.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Kd.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/K_P.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/K_T.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Kv2like.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Kv3_1.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/Nap.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/NaTa.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/NaTs.mod\n", + " -> \u001b[32mNMODL\u001b[0m ../modfiles/NaV.mod\n" ] }, { @@ -23,13 +39,65 @@ "output_type": "stream", "text": [ "/home/gjgpb9/miniconda3/envs/bmtk/bin/nrnivmodl:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n", - " from pkg_resources import working_set\n" + " from pkg_resources import working_set\n", + "Translating CaDynamics.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/CaDynamics.c\n", + "Translating Ca_HVA.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Ca_HVA.c\n", + "Translating Ca_LVA.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Ca_LVA.c\n", + "Thread Safe\n", + "Thread Safe\n", + "Thread Safe\n", + "Translating Ih.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Ih.c\n", + "Thread Safe\n", + "Translating Im.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Im.c\n", + "Translating Im_v2.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Im_v2.c\n", + "Translating Kd.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Kd.c\n", + "Thread Safe\n", + "Thread Safe\n", + "Thread Safe\n", + "Translating K_P.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/K_P.c\n", + "Thread Safe\n", + "Translating K_T.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/K_T.c\n", + "Translating Kv2like.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Kv2like.c\n", + "Thread Safe\n", + "Translating Kv3_1.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Kv3_1.c\n", + "Thread Safe\n", + "Thread Safe\n", + "Translating Nap.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/Nap.c\n", + "Thread Safe\n", + "Translating NaTa.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/NaTa.c\n", + "Translating NaTs.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/NaTs.c\n", + "Translating NaV.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/NaV.c\n", + "Thread Safe\n", + "Thread Safe\n", + "NEURON's CVode method ignores conservation\n", + "Notice: LINEAR is not thread safe.\n", + "Translating SK.mod into /home/gjgpb9/cortex_modeling/bmtool/examples/single_cell/x86_64/SK.c\n", + "Thread Safe\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " -> \u001b[32mNMODL\u001b[0m ../modfiles/SK.mod\n", + " -> \u001b[32mCompiling\u001b[0m CaDynamics.c\n", + " -> \u001b[32mCompiling\u001b[0m Ca_HVA.c\n", + " -> \u001b[32mCompiling\u001b[0m Ca_LVA.c\n", + " -> \u001b[32mCompiling\u001b[0m Ih.c\n", + " -> \u001b[32mCompiling\u001b[0m Im.c\n", + " -> \u001b[32mCompiling\u001b[0m Im_v2.c\n", + " -> \u001b[32mCompiling\u001b[0m Kd.c\n", + " -> \u001b[32mCompiling\u001b[0m K_P.c\n", + " -> \u001b[32mCompiling\u001b[0m K_T.c\n", + " -> \u001b[32mCompiling\u001b[0m Kv2like.c\n", + " -> \u001b[32mCompiling\u001b[0m Kv3_1.c\n", + " -> \u001b[32mCompiling\u001b[0m Nap.c\n", + " -> \u001b[32mCompiling\u001b[0m NaTa.c\n", + " -> \u001b[32mCompiling\u001b[0m NaTs.c\n", + " -> \u001b[32mCompiling\u001b[0m NaV.c\n", + " -> \u001b[32mCompiling\u001b[0m SK.c\n", + " => \u001b[32mLINKING\u001b[0m shared library ./libnrnmech.so\n", + " => \u001b[32mLINKING\u001b[0m executable ./special LDFLAGS are: -pthread\n", "Successfully created x86_64/special\n" ] } @@ -44,12 +112,12 @@ "\n", " bp = BiophysicalApi()\n", " bp.cache_stimulus = False\n", - " neuronal_model_id = 472451419 \n", + " neuronal_model_id = 484635029 \n", " bp.cache_data(neuronal_model_id)\n", " \n", "working_dir = os.getcwd()\n", - "json_files = glob.glob(os.path.join(working_dir, \"*fit.json\"))\n", - "swc_files = glob.glob(os.path.join(working_dir, \"*m.swc\"))\n", + "json_files = glob.glob(os.path.join(working_dir, \"*fit*.json\"))\n", + "swc_files = glob.glob(os.path.join(working_dir, \"*.swc\"))\n", "dynamic_params = json_files[0]\n", "morphology = swc_files[0]\n", "print(dynamic_params)\n", @@ -60,33 +128,26 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Warning: no DISPLAY environment variable.\n", - "--No graphics will be displayed.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "NEURON mechanisms not found in modfiles.\n", - "Injection location: Biophys1[0].soma[0](0.5)\n", - "Recording: Biophys1[0].soma[0](0.5)._ref_v\n", + "2024-11-19 09:48:11,634 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "Injection location: Biophys1[43].soma[0](0.5)\n", + "Recording: Biophys1[43].soma[0](0.5)._ref_v\n", "Current clamp simulation running...\n", "\n", - "Number of spikes: 12\n", + "Number of spikes: 39\n", "\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -100,16 +161,97 @@ "import matplotlib.pyplot as plt\n", "\n", "cell_creater = load_allen_database_cells(morphology=morphology,\n", - " dynamic_params=dynamic_params)\n", + " dynamic_params=dynamic_params,\n", + " model_processing='aibs_allactive')\n", "\n", "profiler = Profiler(template_dir='.', mechanism_dir = 'modfiles', dt=0.1)\n", "\n", - "sim = CurrentClamp(cell_creater, inj_amp=350., inj_delay=1500., inj_dur=1000., tstop=3000., threshold=-15.)\n", + "sim = CurrentClamp(cell_creater, inj_amp=500., inj_delay=1500., inj_dur=1000., tstop=3000., threshold=-15.)\n", "\n", "X, Y = run_and_plot(sim, title='Current Injection', xlabel='Time (ms)',\n", " ylabel='Membrane Potential (mV)', plot_injection_only=True)\n", "plt.show()\n" ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-11-19 09:48:14,537 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,568 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,599 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,629 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,659 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,689 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,720 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,750 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,781 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,812 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,843 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,873 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,904 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,935 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,966 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:14,997 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,028 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,060 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,091 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,122 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,153 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,185 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,216 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,248 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,280 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,311 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,343 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,375 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,408 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,440 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,472 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,504 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,536 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,569 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,601 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,634 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,666 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,699 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,731 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,763 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,796 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "2024-11-19 09:48:15,828 [WARNING] Can't set erev for apic, section array doesn't exist\n", + "Injection location: Biophys1[85].soma[0](0.5)\n", + "Recording: Biophys1[85].soma[0](0.5)._ref_v\n", + "Running simulations for FI curve...\n", + "\n", + "Results\n", + "Injection (nA): 0, 0.025, 0.05, 0.075, 0.1, 0.125, 0.15, 0.175, 0.2, 0.225, 0.25, 0.275, 0.3, 0.325, 0.35, 0.375, 0.4, 0.425, 0.45, 0.475, 0.5, 0.525, 0.55, 0.575, 0.6, 0.625, 0.65, 0.675, 0.7, 0.725, 0.75, 0.775, 0.8, 0.825, 0.85, 0.875, 0.9, 0.925, 0.95, 0.975, 1, 1.025\n", + "Number of spikes: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 11, 14, 19, 24, 32, 41, 52, 61, 69, 75, 81, 84, 70, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1\n", + "\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from bmtool.singlecell import FI\n", + "\n", + "sim = FI(cell_creater,tdur=1000,i_increment=25)\n", + "X, Y = run_and_plot(sim,xlabel='Current',ylabel=\"Spikes\")\n", + "plt.show()" + ] } ], "metadata": { diff --git a/examples/single_cell/x86_64/special.nrn b/examples/single_cell/x86_64/special.nrn index 93027e4e3dd50be6fb0f24c5a5077f92572b2a0d..c29e4f4f4108dd0c05700efc60d9cac5a613e693 100755 GIT binary patch literal 22896 zcmeHPeQ+DcbzcIaMSX#kEX9oMSa3~e^icu?NvX6_IRHh9U`l;hq-@EFd;|fIK!mRX z2ZdBMHCxKA5t#|c{Zjl#Mw78U?$?Z(PTbU;iK)nys%d8`r%kQe?hMn|8ZvRmbYjb{ zTZ?^f_dW3LaOcr<`e9D70m$*+zZdFi1YA?k6 z{VX9wP;`hDu)kA$M%)7MGT2xyNJmURAk$3i$c&rxI$R3qa0TT7(>oL_m~st~)>57# zLE;phS)*8{LU<*BdRW)TKOvF%1Afr~k2u)RJIH^-0Z%&E!Bf?) zo?mjn(O+KJtSRFlzYPSvR$<_GI^g4Ar$O8%bnl=^>$fG|D4w(6zb4CtlXPWJ%3mg} zM}V#sjp8iH^ZD>wWXEd%d6FNu$j3B2&gH&j}1ADbtJRcuP z7W8<2VDIi!HWMF+45i{i(?-(Sj8@Pid0o?#sI8zfnLI8HJ``w0`?(}27KaMQ1#nuj z5X%NA%tR9)(2+cz zjUtphaNt*>{Q*rtEed)px@{Ytd^cjjc5@)K8g*|Fqd42 zwG~=C7SSV+F;plh9H2~0^z`+1?mm22YxA|MW3AQK>f0`w_8;u+>D{-}pU9@;{*f<_ znK5s`X{wX>2L{|@u*2sE&Y5`4 zPPqBb`sn0jDNN6|Vv3>o{g?HsEe4sdg;}oX=&<=`i5Nc|2&qjq_O8fMcCF z9WdZL=VIPr0}dTgPJ;$~Wf>JBVZb*S@SoS;`C)kCt-A2(+RLBvitwY;x@+M|c;cnH z3kE467PfyMvKQ`o3HJ4yf^dX<0%hiA79id80`lm}xhsYZQ^asD* z6+XSJY2qg}q3=EpH!6LTeOKy!x(59ao|vxdyZ5j4yThkD{sL>?SGxG~XX}6e`{S>Q zQ$Hxq1QurBxv{VSel50zOaBs{)SFhnh~>;~1naZk!MxM$O{bwc;nJ&@AOo`g4$+C1 z8oqcTT)H%S7YHhq_W`fpG>$UZXD>bjojUt70ACn~T73`M7jZ(s?wflG@L^y5rc)>` zu%83}+FN@0VXVc(8}kPSdM`~6f?D{}`T12yF5z6Yu;GREUh(b}%3oMip9)Xz3T*I- z@MP^)B=>%xZ-6257|7y~S+Ouf^}4|Io7`0+<+p!`GFxth&);x|OY`CLv!4&wTnxW_ zLthUDj*@}8g_+^{O6Op}y`}4+L!r_~p@F{1drq$PibLVa=2JlX`?kD^ew=;(KfvGTKXU7v z0ylx8e8UVWkwmQ)Dqd?d42Ergm8$Y+Tt?3sK_QIBe?Ykg%8K?+(8YW!(Jzm!{D?JS%PhDsg+||JS zJZv#&$7fNd%hPbwgQut}H>Vc{Usvf9%pz49D2dW;Z zdZ6lost2kbsCuC4fvN{SIUbmSP!pyr5NpD8j(7@Zlw+~X4@fD9ZxF>8H74diO$W^1 zZQ(H{ZIs6tHYR*tgy|gd9D8o0=P4X>PC$eV)2HPgpQ{eaquYtccm$@6iik6mkFgg_ zD*7SBdp8!c$e(cqk(8h9&Ms3t$AYiA6wk5ST~Hn|KE7P>TyKo$U|OMwjPc+hgkNNPyd)1HDams^=82!bB}kh8 zw}hW#TWj$E_4hE*<3t}L`g=s5CHg$ki$wpC=ry9(iDEfDyLa#OZiXknTf7~oa8+g3RY`CL=jHhAC|J*GudkwQX6cZ1aaef^Mcsn2p8pB(#CHt&){-C`@7PU_ll9$K#DvdIiQ zI<2&I3qDW6XY?{jKis9-22T@H$&n1=PJMcPWl*Xywf0lBPw^aBT7AmT`k7Yybm^a` z+?PzNeOm2PdEutHw>qDGGUn5k>OB(Ow{2Z=_egk;hxfhs&R`&GR(V>U>?DudDMlUR>q1^%L{^m(Ne8)$?@eoTnHtF~zAO0SI&i zvq1)o{9iJ^;EBJi_Vjj z)CqnMz%0K)jMMu8W_)G&y#q52-;j{+%=l^%w8i1>Yh}li2)Ndi-$CH~y$*PUaGvj2zUY8Y z5^n9sXC3eh4)|*h`1=m{YHTpH%UbR|gmVlT)iLcNoPWD2REQ&lSG3mw|6RhZz5tyql8=Adx~)W9nS6j1HkRZ$#+Pee;={@Wy1N|%J`26xBBhh z9PkZp`*yWD;QfSK?PneEuRGXz&H?``!maIngK+*G$L+0Irs{9Sy@Xr+vkP!LKlcLe zg12J${khLl0Y?F^fw!~p8&FI*JTRpk?0kjna12CA3o%A`j$$5+KSB683;r#@vD~LE z<^HL}E3b!F$VgXYT)gg*VhEOie+l&x3x0pP->F$^ZS8Znfs-k%IohFbhDXjCt zH$i@_VZHtm}fLrF>(>IwE6$+u8r71Ab28YXo0^;#ARTz`a~)1AU$3 z@r!Rv&>WfGa>-yj)nrBI8SBbvrpb+*iz`lE>nyF(<^)j}*)#p+u!KwVEpwR{{_A2GJqjGNnS&NH{uoF@x3`Ny1Z;}5fd zG*Iamvrwgf%=yv?KzZHhL$l1sx~3RL=hG0)!Li}@B`FJ{>JS*>>y zEfkeoWH&ClfR@84XPf+E$Q%YoSM<%IX_<|>xJD2xs^g31azg9r+us@L)3icyNbA+q zVmlA@>wO)XmV{SyVKpAOYQUOAurNeaEG~JZ>1lY^7#2OkrF&voZ6uW)ilnrdp3N7u zNO4p|v*}zauE%4(UutVGT+=7&z$|lc=WcIT+g8 zt#$9~!ey2;cp+Tt4igyeIw-WRBl|*odv`+~wxg^ZGXu)m?1%k(_VjlTXak|nzHYQ? 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