19147573697

Committed 06 Nov 2025 07:34PM UTC coverage: 20.335% (-0.2%) from 20.507%

Build # 19147573697

Build Type

Pull #258

github

Committed by

web-flow

Commit Message

Merge cbf57e240 into f3ea17ca6

Pull Request Pull Request #258: Bump the actions group in /.github/workflows with 6 updates + cruft update

Run Details

0 of 16 new or added lines in 7 files covered. (0.0%)

7 existing lines in 6 files now uncovered.

97 of 477 relevant lines covered (20.34%)

1.22 hits per line

Source File
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12.5

/src/xdatasets/validations.py

import logging

import geopandas as gpd


def _validate_space_params(
    clip: str,
    geometry: dict[str, tuple] | gpd.GeoDataFrame,
    averaging: bool = False,
    unique_id: str | None = None,
):
    _clip_available_methods = ["bbox", "point", "polygon", None]

    if clip not in _clip_available_methods:
        raise ValueError(f"clip value '{clip}' is not one of {_clip_available_methods}")

    if not isinstance(averaging, bool):
        raise ValueError(f"averaging value '{averaging}' should be a boolean")

    if not (isinstance(unique_id, type(None)) or isinstance(unique_id, str)):
        raise ValueError(f"unique_id value '{unique_id}' should be a string")

    if unique_id is not None:
        if isinstance(geometry, gpd.GeoDataFrame) and unique_id not in geometry.columns:
            message = f"\nunique_id value '{unique_id}' was not found in gpd.GeoDataFrame \nso a random index will be used instead."
            logging.warning(message)

    if averaging is True and not isinstance(geometry, gpd.GeoDataFrame):
        message = (
            f"\naveraging value '{averaging}' is not necessary \nbecause geometry is not a GeoPandas GeoDataFrame.\naveraging value will be ignored."
        )
        logging.warning(message)

    if averaging is True and clip in ["point"]:
        message = (
            f"\naveraging value '{averaging}' is not necessary \nbecause clip operation requested is on a {clip}.\naveraging value will be ignored."
        )
        logging.warning(message)

    if unique_id is not None and not isinstance(geometry, gpd.GeoDataFrame):
        message = (
            f"\nunique_id value '{unique_id}' is not necessary \nbecause geometry is not a GeoPandas GeoDataFrame.\nunique_id value will be ignored."
        )
        logging.warning(message)

    return True

1	import logging	6✔
2
3	import geopandas as gpd	6✔
4
5
6	def _validate_space_params(	6✔
7	clip: str,
8	geometry: dict[str, tuple] \| gpd.GeoDataFrame,
9	averaging: bool = False,
10	unique_id: str \| None = None,
11	):
12	_clip_available_methods = ["bbox", "point", "polygon", None]	×
13
14	if clip not in _clip_available_methods:	×
15	raise ValueError(f"clip value '{clip}' is not one of {_clip_available_methods}")	×
16
17	if not isinstance(averaging, bool):	×
18	raise ValueError(f"averaging value '{averaging}' should be a boolean")	×
19
20	if not (isinstance(unique_id, type(None)) or isinstance(unique_id, str)):	×
21	raise ValueError(f"unique_id value '{unique_id}' should be a string")	×
22
23	if unique_id is not None:	×
24	if isinstance(geometry, gpd.GeoDataFrame) and unique_id not in geometry.columns:	×
NEW 25	message = f"\nunique_id value '{unique_id}' was not found in gpd.GeoDataFrame \nso a random index will be used instead."	×
UNCOV 26	logging.warning(message)	×
27
28	if averaging is True and not isinstance(geometry, gpd.GeoDataFrame):	×
29	message = (	×
30	f"\naveraging value '{averaging}' is not necessary \nbecause geometry is not a GeoPandas GeoDataFrame.\naveraging value will be ignored."
31	)
32	logging.warning(message)	×
33
34	if averaging is True and clip in ["point"]:	×
35	message = (	×
36	f"\naveraging value '{averaging}' is not necessary \nbecause clip operation requested is on a {clip}.\naveraging value will be ignored."
37	)
38	logging.warning(message)	×
39
40	if unique_id is not None and not isinstance(geometry, gpd.GeoDataFrame):	×
41	message = (	×
42	f"\nunique_id value '{unique_id}' is not necessary \nbecause geometry is not a GeoPandas GeoDataFrame.\nunique_id value will be ignored."
43	)
44	logging.warning(message)	×
45
46	return True	×

hydrologie / xdatasets / 19147573697

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