[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,18 +1,18 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v4.5.0
     hooks:
       - id: trailing-whitespace
       - id: end-of-file-fixer
 
-  - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: v0.0.257
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.1.0
     hooks:
       - id: ruff
         args: [--fix]
 
   - repo: https://github.com/psf/black
-    rev: 22.8.0
+    rev: 23.9.1
     hooks:
     - id: black
       language_version: python3
@@ -24,7 +24,7 @@ repos:
       additional_dependencies: ["black[jupyter]"]
 
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.2.4
+    rev: v2.2.6
     hooks:
     - id: codespell
       types_or: [python, markdown]

gpm_api/bucket/analysis.py

@@ -80,7 +80,6 @@ def get_cut_lon_breaks_labels(bin_spacing):
 def pl_add_geographic_bins(
     df, xbin_column, ybin_column, bin_spacing, x_column="lon", y_column="lat"
 ):
-
     cut_lon_breaks, cut_lon_labels = get_cut_lon_breaks_labels(bin_spacing)
     cut_lat_breaks, cut_lat_labels = get_cut_lat_breaks_labels(bin_spacing)
     df = df.with_columns(

gpm_api/bucket/writers.py

@@ -235,6 +235,7 @@ def write_granules_bucket(
 ####--------------------------------------------------------------------------.
 #### Single GPM Granule Routines OLD
 
+
 # TODO: Currently used for final merging
 # --> Adapt code to use write_partitioned_dataset
 def write_parquet_dataset(
@@ -477,6 +478,7 @@ def name_function(i):
 
 #     return None
 
+
 ####--------------------------------------------------------------------------.
 #### GPM Datasets Routines
 @print_task_elapsed_time(prefix="Dataset Bucket Operation Terminated.")
@@ -498,7 +500,6 @@ def write_dataset_bucket(
     use_threads=True,
     **writer_kwargs,
 ):
-
     df = convert_ds_to_df(
         ds=ds,
         preprocessing_function=preprocessing_function,

gpm_api/dataset/crs.py

@@ -113,7 +113,7 @@
 
 
 def _get_dataarray_with_spatial_dims(xr_obj):
     # TODO: maybe select variable with spatial dimensions !
     if isinstance(xr_obj, xr.Dataset):
         variables = list(xr_obj.data_vars)
         if len(variables) == 0:
@@ -317,7 +317,6 @@
 
     # If available, add attributes
     if x_dim is not None and y_dim is not None:
-
         # Retrieve existing coordinate attributes
         src_x_coord_attrs = dict(ds[x_dim].attrs)
         src_y_coord_attrs = dict(ds[y_dim].attrs)

gpm_api/old_dataset/reader.py

@@ -144,7 +144,6 @@ def _get_granule_info(filepath, scan_mode, variables, groups):
     """Retrieve coordinates, attributes and valid variables and groups from the HDF file."""
     # Open HDF5 file
     with h5py.File(filepath, "r", locking=False, swmr=SWMR) as hdf:
-
         # Get coordinates
         coords = get_coords(hdf, scan_mode)
 

gpm_api/scripts/download_gpm_daily_data.py

@@ -12,6 +12,7 @@
 warnings.filterwarnings("ignore")
 sys.tracebacklimit = 0  # avoid full traceback error if occur
 
+
 # -------------------------------------------------------------------------.
 # Click Command Line Interface decorator
 @click.command()

gpm_api/scripts/download_gpm_files.py

@@ -12,6 +12,7 @@
 warnings.filterwarnings("ignore")
 sys.tracebacklimit = 0  # avoid full traceback error if occur
 
+
 # -------------------------------------------------------------------------.
 # Click Command Line Interface decorator
 @click.command()

gpm_api/scripts/download_gpm_monthly_data.py

@@ -12,6 +12,7 @@
 warnings.filterwarnings("ignore")
 sys.tracebacklimit = 0  # avoid full traceback error if occur
 
+
 # -------------------------------------------------------------------------.
 # Click Command Line Interface decorator
 @click.command()

gpm_api/tests/0_tmp/dataset/0_create_test_files.py

@@ -86,7 +86,6 @@ def _copy_attrs(src_h5_obj, dst_h5_obj):
 def _copy_datasets(src_group, dst_group, subset_size=5):
     for name, h5_obj in src_group.items():
         if isinstance(h5_obj, h5py.Dataset):
-
             # Determine the subset shape (2 indices per dimension)
             subset_shape, subset_chunks = _get_subset_shape_chunks(h5_obj, subset_size=subset_size)
 

gpm_api/utils/utils_HDF5.py

@@ -63,7 +63,7 @@
     Parse attributes of hdf objects
     parser: function parsing strings
     """
     # TODO: customize missing ...
     # Initialize dictionary with hdf keys
     attr_dict = initialize_dict_with(x.attrs.keys())
     # Assign values to dictionary
@@ -221,6 +221,7 @@
 #             for item in x.keys():
 #                 print_hdf5_shape(x[item])
 
+
 # -----------------------------------------------------------------------------.
 def hdf5_objects_names(hdf):
     l_objs = []

gpm_api/visualization/orbit.py

@@ -202,7 +202,6 @@ def wrapper(*args, **kwargs):
 
         # - Call the function over each slice
         for i, slc in enumerate(list_slices):
-
             if not rgb:
                 # Retrieve contiguous data array
                 tmp_da = da.isel({"along_track": slc})

gpm_api/visualization/plot.py

@@ -573,7 +573,6 @@ def plot_map(
     cbar_kwargs={},
     **plot_kwargs,
 ):
-
     from gpm_api.checks import is_grid, is_orbit
     from gpm_api.visualization.grid import plot_grid_map
     from gpm_api.visualization.orbit import plot_orbit_map

gpm_api/visualization/profile.py

@@ -218,7 +218,6 @@ def select_transect(
     transect_kwargs={},
     keep_only_valid_variables=True,
 ):
-
     # Identify transect isel_dict
     transect_slices = get_transect_slices(
         xr_obj,