Black reformating

pathways/lca.py

@@ -1,14 +1,14 @@
 import csv
 from pathlib import Path
-from typing import Dict, Tuple, List, Any
+from typing import Any, Dict, List, Tuple
 
 import bw_processing as bwp
 import numpy as np
+import sparse as sp
 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
-import sparse as sp
 
 from .lcia import get_lcia_methods
 

pathways/pathways.py

@@ -24,18 +24,22 @@
 
 from .data_validation import validate_datapackage
 from .filesystem_constants import DATA_DIR, DIR_CACHED_DB
-from .lca import get_lca_matrices, remove_double_counting, fill_characterization_factors_matrices
+from .lca import (
+    fill_characterization_factors_matrices,
+    get_lca_matrices,
+    remove_double_counting,
+)
 from .lcia import get_lcia_method_names
 from .utils import (
     _get_activity_indices,
+    clean_cache_directory,
     create_lca_results_array,
     display_results,
     get_unit_conversion_factors,
     harmonize_units,
     load_classifications,
     load_numpy_array_from_disk,
     load_units_conversion,
-    clean_cache_directory
 )
 
 warnings.filterwarnings("ignore")
@@ -254,7 +258,7 @@ def process_region(data: Tuple) -> dict[str, ndarray[Any, dtype[Any]] | list[int
         location_to_index,
         rev_A_index,
         lca,
-        characterization_matrix
+        characterization_matrix,
     ) = data
 
     FU = []
@@ -415,7 +419,9 @@ def _calculate_year(args):
     )
     lca.lci(factorize=True)
 
-    characterization_matrix = fill_characterization_factors_matrices(biosphere_indices, methods, lca.dicts.biosphere)
+    characterization_matrix = fill_characterization_factors_matrices(
+        biosphere_indices, methods, lca.dicts.biosphere
+    )
 
     bar = pyprind.ProgBar(len(regions))
     for region in regions:
@@ -442,7 +448,7 @@ def _calculate_year(args):
                 location_to_index,
                 reverse_technosphere_index,
                 lca,
-                characterization_matrix
+                characterization_matrix,
             )
         )
 

pathways/utils.py

@@ -1,9 +1,9 @@
+from pathlib import Path
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
 import xarray as xr
 import yaml
-from pathlib import Path
 
 from .filesystem_constants import DATA_DIR, DIR_CACHED_DB
 
@@ -277,9 +277,11 @@ def load_numpy_array_from_disk(filepath):
 
     return np.load(filepath, allow_pickle=True)
 
+
 def get_visible_files(path):
     return [file for file in Path(path).iterdir() if not file.name.startswith(".")]
 
+
 def clean_cache_directory():
     # clean up the cache directory
     for file in get_visible_files(DIR_CACHED_DB):