Black reformating

polca · Apr 11, 2024 · 1e97b7d · 1e97b7d
1 parent 7ee5e96
commit 1e97b7d
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Showing 2 changed files with 13 additions and 10 deletions.
diff --git a/pathways/lca.py b/pathways/lca.py
@@ -3,7 +3,6 @@
 
 """
 
-
 import csv
 import logging
 import uuid
@@ -16,15 +15,18 @@
 import pyprind
 from bw2calc import MonteCarloLCA
 from bw_processing import Datapackage
-from numpy import ndarray, dtype
+from numpy import dtype, ndarray
 from scipy import sparse
 from scipy.sparse import csr_matrix
 
 from .filesystem_constants import DIR_CACHED_DB
 from .lcia import fill_characterization_factors_matrices
 from .pathways import _group_technosphere_indices
-from .utils import get_unit_conversion_factors, fetch_indices, check_unclassified_activities
-
+from .utils import (
+    check_unclassified_activities,
+    fetch_indices,
+    get_unit_conversion_factors,
+)
 
 logging.basicConfig(
     level=logging.DEBUG,

diff --git a/pathways/pathways.py b/pathways/pathways.py
@@ -21,7 +21,7 @@
 
 from .data_validation import validate_datapackage
 from .filesystem_constants import DATA_DIR, DIR_CACHED_DB
-from .lca import get_lca_matrices, _calculate_year
+from .lca import _calculate_year, get_lca_matrices
 from .lcia import get_lcia_method_names
 from .utils import (
     clean_cache_directory,
@@ -32,7 +32,8 @@
     load_classifications,
     load_numpy_array_from_disk,
     load_units_conversion,
-    resize_scenario_data, )
+    resize_scenario_data,
+)
 
 # remove warnings
 warnings.filterwarnings("ignore")
@@ -110,9 +111,7 @@ class Pathways:
 
     def __init__(self, datapackage, debug=False):
         self.datapackage = datapackage
-        self.data, dataframe, self.filepaths = validate_datapackage(
-            _read_datapackage()
-        )
+        self.data, dataframe, self.filepaths = validate_datapackage(_read_datapackage())
         self.mapping = _get_mapping()
         self.mapping.update(self._get_final_energy_mapping())
         self.debug = debug
@@ -176,7 +175,9 @@ def create_dict_for_specific_model(row: dict, model: str) -> dict:
                 return dict_structure
             return None
 
-        def create_dict_with_specific_model(dataframe: pandas.DataFrame, model: str) -> dict:
+        def create_dict_with_specific_model(
+            dataframe: pandas.DataFrame, model: str
+        ) -> dict:
             """
             Create a dictionary for a specific model from the dataframe.
             :param dataframe: pandas.DataFrame