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

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

Author: pre-commit-ci[bot]

setup.cfg

@@ -5,20 +5,14 @@ long_description = file: README.rst
 long_description_content_type = text/x-rst
 author = Janos Gabler, Tobias Raabe, Klara Röhrl
 license = MIT
-license_file = LICENSE
+license_files = LICENSE
 classifiers =
-    License :: OSI Approved :: MIT License
     Programming Language :: Python :: 3
     Programming Language :: Python :: 3 :: Only
-    Programming Language :: Python :: 3.6
-    Programming Language :: Python :: 3.7
-    Programming Language :: Python :: 3.8
-    Programming Language :: Python :: 3.9
-    Programming Language :: Python :: 3.10
 
 [options]
 packages = find:
-python_requires = >=3.6.1
+python_requires = >=3.9
 include_package_data = True
 package_dir =
     = .

src/config.py

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

src/contact_models/task_create_contact_params.py

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

src/create_initial_states/create_contact_model_group_ids.py

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

src/create_initial_states/create_group_transition_probs.py

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

src/create_initial_states/create_vaccination_priority.py

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

src/create_initial_states/task_build_full_params.py

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

src/create_initial_states/task_create_background_characteristics.py

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

src/plotting/task_plot_decomposition.py

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

src/plotting/task_plot_incidences_by_group.py

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