Zeitsperre: I think you may have forgotten to add the multi-feature json to the PR. Once that's in, I'll take a look. Thanks!
coveralls: ## Pull Request Test Coverage Report for [Build 1480](https://coveralls.io/builds/28099692)

* **15** of **15**   **(100.0%)**  changed or added relevant lines in **1** file are covered.
* No unchanged relevant lines lost coverage.
* Overall coverage increased (+**0.02%**) to **90.836%**

---



|  Totals | [![Coverage Status](https://coveralls.io/builds/28099692/badge)](https://coveralls.io/builds/28099692) |
| :-- | --: |
| Change from base [Build 1473](https://coveralls.io/builds/28036063): |  0.02% |
| Covered Lines: | 1685 |
| Relevant Lines: | 1855 |

---
##### 💛  - [Coveralls](https://coveralls.io)

diff --git a/HISTORY.rst b/HISTORY.rst
index 50dd6f92..ec7dbd31 100644
--- a/HISTORY.rst
+++ b/HISTORY.rst
@@ -2,6 +2,11 @@
 History
 =======
 
+0.14.x
+------
+* Fix in `subset.wrap_lons_and_split_at_greenwich` to preserve multi-region dataframes.
+
+
 0.13.x (2020-01-10)
 -------------------
 * Documentation improvements: list of indicators, RTD theme, notebook example.
diff --git a/setup.cfg b/setup.cfg
index 1bb16fe4..df1ca2e7 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.13.0
+current_version = 0.13.1-beta
 commit = False
 tag = True
 parse = (?P<major>\d+)\.(?P<minor>\d+).(?P<patch>\d+)(\-(?P<release>[a-z]+))?
diff --git a/setup.py b/setup.py
index 38f7694b..b3d84518 100644
--- a/setup.py
+++ b/setup.py
@@ -12,7 +12,7 @@ URL = "https://github.com/Ouranosinc/xclim"
 AUTHOR = "Travis Logan"
 AUTHOR_EMAIL = "logan.travis@ouranos.ca"
 REQUIRES_PYTHON = ">=3.6.0"
-VERSION = "0.13.0"
+VERSION = "0.13.1-beta"
 LICENSE = "Apache Software License 2.0"
 
 with open("README.rst") as readme_file:
diff --git a/xclim/__init__.py b/xclim/__init__.py
index f8a0186b..f6e7e099 100644
--- a/xclim/__init__.py
+++ b/xclim/__init__.py
@@ -12,7 +12,7 @@ from xclim import seaIce
 
 __author__ = """Travis Logan"""
 __email__ = "logan.travis@ouranos.ca"
-__version__ = "0.13.0"
+__version__ = "0.13.1-beta"
 
 
 def build_module(name, objs, doc="", source=None, mode="ignore"):
diff --git a/xclim/subset.py b/xclim/subset.py
index ff58380e..a61b36f8 100644
--- a/xclim/subset.py
+++ b/xclim/subset.py
@@ -193,37 +193,38 @@ def wrap_lons_and_split_at_greenwich(func):
                     stacklevel=4,
                 )
             split_flag = False
-            if (poly.geometry.total_bounds[0] < 0) and (
-                poly.geometry.total_bounds[2] > 0
-            ):
-                split_flag = True
-                warnings.warn(
-                    "Geometry crosses the Greenwich Meridian. Proceeding to split polygon at Greenwich."
-                    " This feature is experimental. Output might not be accurate.",
-                    UserWarning,
-                    stacklevel=4,
-                )
-
-                # Create a meridian line at Greenwich, split polygons at this line and erase a buffer line
-                union = Polygon(cascaded_union(poly.geometry))
-                meridian = LineString([Point(0, 90), Point(0, -90)])
-                buffered = meridian.buffer(0.000000001)
-                split_polygons = split(union, meridian)
-                # TODO: This doesn't seem to be thread safe in Travis CI on macOS. Merits testing with a local machine.
-                buffered_split_polygons = [
-                    feat for feat in split_polygons.difference(buffered)
-                ]
-
-                # Load split features into a new GeoDataFrame with WGS84 CRS
-                split_gdf = gpd.GeoDataFrame(
-                    list(range(len(buffered_split_polygons))),
-                    geometry=buffered_split_polygons,
-                    crs={"init": "epsg:4326"},
-                )
-                # split_gdf.crs = CRS.from_epsg(4326)
-                split_gdf.columns = ["index", "geometry"]
-
-                poly = split_gdf
+            for (index, feature) in poly.iterrows():
+                if (feature.geometry.bounds[0] < 0) and (
+                    feature.geometry.bounds[2] > 0
+                ):
+                    split_flag = True
+                    warnings.warn(
+                        "Geometry crosses the Greenwich Meridian. Proceeding to split polygon at Greenwich."
+                        " This feature is experimental. Output might not be accurate.",
+                        UserWarning,
+                        stacklevel=4,
+                    )
+
+                    # Create a meridian line at Greenwich, split polygons at this line and erase a buffer line
+                    union = Polygon(cascaded_union(feature.geometry))
+                    meridian = LineString([Point(0, 90), Point(0, -90)])
+                    buffered = meridian.buffer(0.000000001)
+                    split_polygons = split(union, meridian)
+                    # TODO: This doesn't seem to be thread safe in Travis CI on macOS. Merits testing with a local machine.
+                    buffered_split_polygons = [
+                        feat for feat in split_polygons.difference(buffered)
+                    ]
+
+                    # Cannot assign iterable with `at` (pydata/pandas#26333) so a small hack:
+                    # Load split features into a new GeoDataFrame with WGS84 CRS
+                    split_gdf = gpd.GeoDataFrame(
+                        geometry=[cascaded_union(buffered_split_polygons)],
+                        crs={"init": "epsg:4326"},
+                    )
+                    poly.at[[index], "geometry"] = split_gdf.geometry.values
+                    # split_gdf.columns = ["index", "geometry"]
+
+                    # feature = split_gdf
 
             # Reproject features in WGS84 CSR to use 0 to 360 as longitudinal values
             poly = poly.to_crs(
@@ -238,6 +239,7 @@ def wrap_lons_and_split_at_greenwich(func):
                 )
                 poly = gpd.GeoDataFrame(poly.buffer(0.000000001), columns=["geometry"])
                 poly.crs = crs1
+
             kwargs["poly"] = poly
 
         return func(*args, **kwargs)
@@ -253,7 +255,10 @@ def create_mask(
     poly: gpd.GeoDataFrame = None,
     wrap_lons: bool = False,
 ):
-    """
+    """Creates a mask with values corresponding to the features in a GeoDataFrame.
+
+    The returned mask's points have the value of the first geometry of `poly` they fall in.
+
     Parameters
     ----------
     x_dim : xarray.DataArray
@@ -268,7 +273,33 @@ def create_mask(
     Returns
     -------
     xarray.DataArray
+
+    Examples
+    --------
+    >>> from xclim import subset
+    >>> import xarray as xr
+    >>> import geopandas as gpd
+    >>> ds = xr.open_dataset('example.nc')
+    >>> polys = gpd.read_file('regions.json')
+    Get a mask from all polygons in 'regions.json'
+    >>> mask = subset.create_mask(x_dim=ds.lon, y_dim=ds.lat, poly=polys)
+    >>> ds = ds.assign_coords(regions=mask)
+    Operations can be applied to each regions with  `groupby`. Ex:
+    >>> ds = ds.groupby('regions').mean()
+    Extra step to retrieve the names of those polygons stored in the "id" column
+    >>> region_names = xr.DataArray(polys.id, dims=('regions',)))
+    >>> ds = ds.assign_coords(regions_names=region_names)
     """
+    # Check for intersections
+    for i, (inda, pola) in enumerate(poly.iterrows()):
+        for (indb, polb) in poly.loc[i + 1 :].iterrows():
+            if pola.geometry.intersects(polb.geometry):
+                warnings.warn(
+                    f"List of shapes contains overlap between {inda} and {indb}. Only {inda} will be used.",
+                    UserWarning,
+                    stacklevel=4,
+                )
+
     if len(x_dim.shape) == 1 & len(y_dim.shape) == 1:
         # create a 2d grid of lon, lat values
         lon1, lat1 = np.meshgrid(

Subset with individual features
* xclim version: 0.13.0

It would be great to have an option for us to explode the features of a shapefile and subset spatially according to their boundaries. This has been implemented in a few libraries but it wouldn't take much work to modify our current `subset_shape` and `create_mask` to have this behaviour.
diff --git a/tests/test_subset.py b/tests/test_subset.py
index e3eacf7d..54462eea 100644
--- a/tests/test_subset.py
+++ b/tests/test_subset.py
@@ -1,5 +1,6 @@
 import os
 
+import geopandas as gpd
 import numpy as np
 import pytest
 import xarray as xr
@@ -526,6 +527,7 @@ class TestSubsetShape:
     eastern_canada_geojson = os.path.join(TESTS_DATA, "cmip5", "eastern_canada.json")
     southern_qc_geojson = os.path.join(TESTS_DATA, "cmip5", "southern_qc_geojson.json")
     small_geojson = os.path.join(TESTS_DATA, "cmip5", "small_geojson.json")
+    multi_regions_geojson = os.path.join(TESTS_DATA, "cmip5", "multi_regions.json")
 
     def compare_vals(self, ds, sub, vari, flag_2d=False):
         # check subsetted values against original
@@ -649,6 +651,17 @@ class TestSubsetShape:
         assert len(sub.lon.values) == 3
         assert len(sub.lat.values) == 3
 
+    def test_mask_multiregions(self):
+        ds = xr.open_dataset(self.nc_file)
+        regions = gpd.read_file(self.multi_regions_geojson)
+
+        mask = subset.create_mask(
+            x_dim=ds.lon, y_dim=ds.lat, poly=regions, wrap_lons=True
+        )
+        vals, counts = np.unique(mask.values[mask.notnull()], return_counts=True)
+        assert all(vals == [0, 1, 2])
+        assert all(counts == [58, 250, 22])
+
 
 class TestDistance:
     def test_values(self):
diff --git a/tests/testdata/cmip5/multi_regions.json b/tests/testdata/cmip5/multi_regions.json
new file mode 100644
index 00000000..8c0d9a7a
--- /dev/null
+++ b/tests/testdata/cmip5/multi_regions.json
@@ -0,0 +1,162 @@
+{
+  "type": "FeatureCollection",
+  "features": [
+    {
+      "type": "Feature",
+      "properties": {"id": "Québec"},
+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [
+          [
+            [
+              -79.8046875,
+              63.39152174400882
+            ],
+            [
+              -81.9140625,
+              48.22467264956519
+            ],
+            [
+              -75.234375,
+              39.639537564366684
+            ],
+            [
+              -62.9296875,
+              48.69096039092549
+            ],
+            [
+              -48.515625,
+              54.57206165565852
+            ],
+            [
+              -64.6875,
+              63.23362741232569
+            ],
+            [
+              -78.046875,
+              63.39152174400882
+            ],
+            [
+              -79.8046875,
+              63.39152174400882
+            ]
+          ]
+        ]
+      }
+    },
+    {
+      "type": "Feature",
+      "properties": {"id": "Europe"},
+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [
+          [
+            [
+              -18.28125,
+              68.52823492039876
+            ],
+            [
+              -27.0703125,
+              66.37275500247455
+            ],
+            [
+              -18.28125,
+              61.10078883158897
+            ],
+            [
+              -11.25,
+              55.57834467218206
+            ],
+            [
+              -13.0078125,
+              46.800059446787316
+            ],
+            [
+              -10.1953125,
+              32.84267363195431
+            ],
+            [
+              9.140625,
+              37.16031654673677
+            ],
+            [
+              29.53125,
+              33.137551192346145
+            ],
+            [
+              32.6953125,
+              42.8115217450979
+            ],
+            [
+              43.2421875,
+              48.45835188280866
+            ],
+            [
+              38.3203125,
+              65.6582745198266
+            ],
+            [
+              39.0234375,
+              70.8446726342528
+            ],
+            [
+              16.5234375,
+              73.42842364106816
+            ],
+            [
+              -10.546875,
+              71.07405646336098
+            ],
+            [
+              -18.28125,
+              68.00757101804004
+            ],
+            [
+              -18.28125,
+              68.52823492039876
+            ]
+          ]
+        ]
+      }
+    },
+    {
+      "type": "Feature",
+      "properties": {"id": "Newfoundland"},
+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [
+          [
+            [
+              -46.40625,
+              57.70414723434193
+            ],
+            [
+              -57.65624999999999,
+              54.77534585936447
+            ],
+            [
+              -64.6875,
+              46.800059446787316
+            ],
+            [
+              -58.00781249999999,
+              40.713955826286046
+            ],
+            [
+              -47.4609375,
+              45.583289756006316
+            ],
+            [
+              -42.890625,
+              53.74871079689897
+            ],
+            [
+              -46.40625,
+              57.70414723434193
+            ]
+          ]
+        ]
+      }
+    }
+  ]
+}

environment.yml
pip install -e .[dev]
parse_log_pytest
environment.yml
pytest pytest-cov coveralls Cython
apt-get update apt-get install -y gcc
3.7
pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1722977137225/work
bleach==6.0.0
bokeh @ file:///home/conda/feedstock_root/build_artifacts/bokeh_1660586590972/work
boltons @ file:///home/conda/feedstock_root/build_artifacts/boltons_1711936407380/work
Bottleneck @ file:///home/conda/feedstock_root/build_artifacts/bottleneck_1649629660965/work
branca @ file:///home/conda/feedstock_root/build_artifacts/branca_1714071803448/work
Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1648883617327/work
bump2version==1.0.1
certifi @ file:///home/conda/feedstock_root/build_artifacts/certifi_1725278078093/work/certifi
cffi==1.15.1
cfgv==3.3.1
cftime @ file:///home/conda/feedstock_root/build_artifacts/cftime_1649636858592/work
charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1728479282467/work
click @ file:///home/conda/feedstock_root/build_artifacts/click_1651215140632/work
click-plugins==1.1.1
cligj @ file:///home/conda/feedstock_root/build_artifacts/cligj_1633637764473/work
cloudpickle @ file:///home/conda/feedstock_root/build_artifacts/cloudpickle_1674202310934/work
coverage==6.5.0
coveralls==3.3.1
cryptography==44.0.2
cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work
Cython==3.0.12
cytoolz==0.11.2
dask==2021.10.0
distlib==0.3.9
distributed @ file:///tmp/build/80754af9/distributed_1635968201545/work
docopt==0.6.2
docutils==0.20.1
exceptiongroup==1.2.2
filelock==3.12.2
Fiona==1.8.20
flake8==5.0.4
folium @ file:///home/conda/feedstock_root/build_artifacts/folium_1709209270269/work
fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1651017735934/work
fsspec @ file:///home/conda/feedstock_root/build_artifacts/fsspec_1674184942191/work
GDAL==3.3.2
geojson @ file:///home/conda/feedstock_root/build_artifacts/geojson_1699269511365/work
geopandas @ file:///home/conda/feedstock_root/build_artifacts/geopandas_1638382567988/work
HeapDict @ file:///home/conda/feedstock_root/build_artifacts/heapdict_1722613793866/work
identify==2.5.24
idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1726459485162/work
importlib-metadata==4.2.0
iniconfig==2.0.0
jaraco.classes==3.2.3
jeepney==0.9.0
Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1715127149914/work
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1691577114857/work
keyring==23.9.3
kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1648854392523/work
locket @ file:///home/conda/feedstock_root/build_artifacts/locket_1650660393415/work
mapclassify @ file:///home/conda/feedstock_root/build_artifacts/mapclassify_1673861555770/work
markdown-it-py==2.2.0
MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1648737551960/work
matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1651609498426/work
mccabe==0.7.0
mdurl==0.1.2
more-itertools==9.1.0
msgpack @ file:///home/conda/feedstock_root/build_artifacts/msgpack-python_1648745991116/work
munch==2.5.0
munkres==1.1.4
netCDF4 @ file:///home/conda/feedstock_root/build_artifacts/netcdf4_1636302995763/work
networkx @ file:///home/conda/feedstock_root/build_artifacts/networkx_1646092782768/work
nodeenv==1.9.1
numexpr @ file:///home/conda/feedstock_root/build_artifacts/numexpr_1649636747170/work
numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1649806299270/work
olefile @ file:///home/conda/feedstock_root/build_artifacts/olefile_1701735466804/work
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1696202382185/work
pandas==1.3.5
partd @ file:///home/conda/feedstock_root/build_artifacts/partd_1695667515973/work
Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1630696604087/work
Pint==0.9
pkginfo==1.10.0
platformdirs==2.6.2
pluggy==1.2.0
pre-commit==2.21.0
psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1653089169272/work
py==1.11.0
pycodestyle==2.9.1
pycparser==2.21
pyflakes==2.5.0
Pygments==2.17.2
pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1724616129934/work
pyproj @ file:///home/conda/feedstock_root/build_artifacts/pyproj_1650061576675/work
PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1648857264451/work
pytest==7.4.4
pytest-cov==4.1.0
pytest-runner==6.0.1
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1709299778482/work
pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1726055524169/work
PyYAML @ file:///home/conda/feedstock_root/build_artifacts/pyyaml_1648757092905/work
readme-renderer==37.3
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1716354486713/work
requests-toolbelt==1.0.0
rfc3986==2.0.0
rich==13.8.1
Rtree @ file:///home/conda/feedstock_root/build_artifacts/rtree_1665582585745/work
scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1640464152916/work
scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1637806658031/work
SecretStorage==3.3.3
Shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1635194349843/work
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
sortedcontainers @ file:///home/conda/feedstock_root/build_artifacts/sortedcontainers_1621217038088/work
tblib @ file:///home/conda/feedstock_root/build_artifacts/tblib_1702066284995/work
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
tomli==2.0.1
toolz @ file:///home/conda/feedstock_root/build_artifacts/toolz_1706112571092/work
tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1648827244717/work
tox==3.28.0
twine==4.0.2
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1688315532570/work
unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1649111917568/work
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1708239446578/work
virtualenv==20.16.2
watchdog==3.0.0
webencodings==0.5.1
xarray @ file:///home/conda/feedstock_root/build_artifacts/xarray_1639125986756/work
-e git+https://github.com/Ouranosinc/xclim.git@a4a8a7c4a7d2bb527ff11b77607189415c9def13#egg=xclim
xyzservices @ file:///home/conda/feedstock_root/build_artifacts/xyzservices_1684539629266/work
zict @ file:///home/conda/feedstock_root/build_artifacts/zict_1651156074437/work
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1677313463193/work

name: xclim
channels:
  - defaults
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - attrs=24.2.0=pyh71513ae_0
  - bokeh=2.4.3=pyhd8ed1ab_3
  - boltons=24.0.0=pyhd8ed1ab_0
  - boost-cpp=1.74.0=h312852a_4
  - bottleneck=1.3.4=py37hda87dfa_1
  - branca=0.7.2=pyhd8ed1ab_0
  - brotli=1.0.9=h166bdaf_7
  - brotli-bin=1.0.9=h166bdaf_7
  - brotli-python=1.0.9=py37hd23a5d3_7
  - bzip2=1.0.8=h7f98852_4
  - c-ares=1.18.1=h7f98852_0
  - ca-certificates=2025.2.25=h06a4308_0
  - cairo=1.16.0=h6cf1ce9_1008
  - certifi=2024.8.30=pyhd8ed1ab_0
  - cfitsio=3.470=hb418390_7
  - cftime=1.6.0=py37hda87dfa_1
  - charset-normalizer=3.4.0=pyhd8ed1ab_0
  - click=8.1.3=py37h89c1867_0
  - click-plugins=1.1.1=py_0
  - cligj=0.7.2=pyhd8ed1ab_1
  - cloudpickle=2.2.1=pyhd8ed1ab_0
  - curl=7.79.1=h2574ce0_1
  - cycler=0.11.0=pyhd8ed1ab_0
  - cytoolz=0.11.2=py37h540881e_2
  - dask=2021.10.0=pyhd8ed1ab_0
  - dask-core=2021.10.0=pyhd3eb1b0_0
  - distributed=2021.10.0=py37h06a4308_0
  - expat=2.4.8=h27087fc_0
  - fiona=1.8.20=py37hb7e2723_2
  - folium=0.16.0=pyhd8ed1ab_0
  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
  - font-ttf-inconsolata=3.000=h77eed37_0
  - font-ttf-source-code-pro=2.038=h77eed37_0
  - font-ttf-ubuntu=0.83=h77eed37_3
  - fontconfig=2.14.0=h8e229c2_0
  - fonts-conda-ecosystem=1=0
  - fonts-conda-forge=1=0
  - fonttools=4.33.3=py37h540881e_0
  - freetype=2.10.4=h0708190_1
  - freexl=1.0.6=h7f98852_0
  - fsspec=2023.1.0=pyhd8ed1ab_0
  - gdal=3.3.2=py37hd5a0ba4_2
  - geojson=3.1.0=pyhd8ed1ab_0
  - geopandas=0.10.2=pyhd8ed1ab_1
  - geopandas-base=0.10.2=pyha770c72_1
  - geos=3.9.1=h9c3ff4c_2
  - geotiff=1.7.0=h4f31c25_0
  - gettext=0.19.8.1=h73d1719_1008
  - giflib=5.2.1=h36c2ea0_2
  - hdf4=4.2.15=h10796ff_3
  - hdf5=1.12.1=nompi_h2750804_100
  - heapdict=1.0.1=pyhd8ed1ab_1
  - icu=68.2=h9c3ff4c_0
  - idna=3.10=pyhd8ed1ab_0
  - importlib_metadata=4.11.4=hd8ed1ab_0
  - jbig=2.1=h7f98852_2003
  - jinja2=3.1.4=pyhd8ed1ab_0
  - joblib=1.3.2=pyhd8ed1ab_0
  - jpeg=9e=h166bdaf_1
  - json-c=0.15=h98cffda_0
  - kealib=1.4.14=h87e4c3c_3
  - keyutils=1.6.1=h166bdaf_0
  - kiwisolver=1.4.2=py37h7cecad7_1
  - krb5=1.19.3=h3790be6_0
  - lcms2=2.12=hddcbb42_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - lerc=2.2.1=h9c3ff4c_0
  - libblas=3.9.0=16_linux64_openblas
  - libbrotlicommon=1.0.9=h166bdaf_7
  - libbrotlidec=1.0.9=h166bdaf_7
  - libbrotlienc=1.0.9=h166bdaf_7
  - libcblas=3.9.0=16_linux64_openblas
  - libcurl=7.79.1=h2574ce0_1
  - libdap4=3.20.6=hd7c4107_2
  - libdeflate=1.7=h7f98852_5
  - libedit=3.1.20191231=he28a2e2_2
  - libev=4.33=h516909a_1
  - libffi=3.4.4=h6a678d5_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgdal=3.3.2=hd2dd7ad_2
  - libgfortran-ng=13.2.0=h69a702a_0
  - libgfortran5=13.2.0=ha4646dd_0
  - libglib=2.68.4=h174f98d_1
  - libgomp=11.2.0=h1234567_1
  - libiconv=1.17=h166bdaf_0
  - libkml=1.3.0=h238a007_1014
  - liblapack=3.9.0=16_linux64_openblas
  - libnetcdf=4.8.1=nompi_hb3fd0d9_101
  - libnghttp2=1.43.0=h812cca2_1
  - libnsl=2.0.0=h7f98852_0
  - libopenblas=0.3.21=h043d6bf_0
  - libpng=1.6.37=h21135ba_2
  - libpq=13.3=hd57d9b9_0
  - librttopo=1.1.0=h1185371_6
  - libspatialindex=1.9.3=h9c3ff4c_4
  - libspatialite=5.0.1=h8694cbe_6
  - libssh2=1.10.0=ha56f1ee_2
  - libstdcxx-ng=11.2.0=h1234567_1
  - libtiff=4.3.0=hf544144_1
  - libuuid=2.32.1=h7f98852_1000
  - libwebp-base=1.2.2=h7f98852_1
  - libxcb=1.13=h7f98852_1004
  - libxml2=2.9.12=h72842e0_0
  - libzip=1.8.0=h4de3113_1
  - locket=1.0.0=pyhd8ed1ab_0
  - lz4-c=1.9.3=h9c3ff4c_1
  - mapclassify=2.5.0=pyhd8ed1ab_1
  - markupsafe=2.1.1=py37h540881e_1
  - matplotlib-base=3.5.2=py37hc347a89_0
  - msgpack-python=1.0.3=py37h7cecad7_1
  - munch=2.5.0=py_0
  - munkres=1.1.4=pyh9f0ad1d_0
  - ncurses=6.4=h6a678d5_0
  - netcdf4=1.5.8=nompi_py37hf784469_101
  - networkx=2.7=pyhd8ed1ab_0
  - nomkl=1.0=h5ca1d4c_0
  - nspr=4.32=h9c3ff4c_1
  - nss=3.69=hb5efdd6_1
  - numexpr=2.8.0=py37h85a3170_102
  - numpy=1.21.6=py37h976b520_0
  - olefile=0.47=pyhd8ed1ab_0
  - openjpeg=2.4.0=hb52868f_1
  - openssl=1.1.1w=h7f8727e_0
  - packaging=23.2=pyhd8ed1ab_0
  - pandas=1.3.5=py37h8c16a72_0
  - partd=1.4.1=pyhd8ed1ab_0
  - pcre=8.45=h9c3ff4c_0
  - pillow=8.3.2=py37h0f21c89_0
  - pint=0.9=py37_2
  - pip=22.3.1=py37h06a4308_0
  - pixman=0.40.0=h36c2ea0_0
  - poppler=21.09.0=ha39eefc_3
  - poppler-data=0.4.12=hd8ed1ab_0
  - postgresql=13.3=h2510834_0
  - proj=8.0.1=h277dcde_0
  - psutil=5.9.1=py37h540881e_0
  - pthread-stubs=0.4=h36c2ea0_1001
  - pyparsing=3.1.4=pyhd8ed1ab_0
  - pyproj=3.2.1=py37hcc46e62_6
  - pysocks=1.7.1=py37h89c1867_5
  - python=3.7.16=h7a1cb2a_0
  - python-dateutil=2.9.0=pyhd8ed1ab_0
  - python_abi=3.7=2_cp37m
  - pytz=2024.2=pyhd8ed1ab_0
  - pyyaml=6.0=py37h540881e_4
  - readline=8.2=h5eee18b_0
  - requests=2.32.2=pyhd8ed1ab_0
  - rtree=1.0.1=py37h0b55af0_0
  - scikit-learn=1.0.2=py37hf9e9bfc_0
  - scipy=1.7.3=py37hf2a6cf1_0
  - setuptools=65.6.3=py37h06a4308_0
  - shapely=1.8.0=py37h48c49eb_0
  - six=1.16.0=pyh6c4a22f_0
  - sortedcontainers=2.4.0=pyhd8ed1ab_0
  - sqlite=3.45.3=h5eee18b_0
  - tblib=3.0.0=pyhd8ed1ab_0
  - threadpoolctl=3.1.0=pyh8a188c0_0
  - tiledb=2.3.4=he87e0bf_0
  - tk=8.6.14=h39e8969_0
  - toolz=0.12.1=pyhd8ed1ab_0
  - tornado=6.1=py37h540881e_3
  - typing-extensions=4.7.1=hd8ed1ab_0
  - typing_extensions=4.7.1=pyha770c72_0
  - tzcode=2022a=h166bdaf_0
  - tzdata=2025b=h78e105d_0
  - unicodedata2=14.0.0=py37h540881e_1
  - urllib3=2.2.1=pyhd8ed1ab_0
  - wheel=0.38.4=py37h06a4308_0
  - xarray=0.20.2=pyhd8ed1ab_0
  - xerces-c=3.2.3=h9d8b166_3
  - xorg-kbproto=1.0.7=h7f98852_1002
  - xorg-libice=1.0.10=h7f98852_0
  - xorg-libsm=1.2.3=hd9c2040_1000
  - xorg-libx11=1.7.2=h7f98852_0
  - xorg-libxau=1.0.9=h7f98852_0
  - xorg-libxdmcp=1.1.3=h7f98852_0
  - xorg-libxext=1.3.4=h7f98852_1
  - xorg-libxrender=0.9.10=h7f98852_1003
  - xorg-renderproto=0.11.1=h7f98852_1002
  - xorg-xextproto=7.3.0=h7f98852_1002
  - xorg-xproto=7.0.31=h7f98852_1007
  - xyzservices=2023.5.0=pyhd8ed1ab_0
  - xz=5.6.4=h5eee18b_1
  - yaml=0.2.5=h7f98852_2
  - zict=2.2.0=pyhd8ed1ab_0
  - zipp=3.15.0=pyhd8ed1ab_0
  - zlib=1.2.13=h5eee18b_1
  - zstd=1.5.0=ha95c52a_0
  - pip:
      - bleach==6.0.0
      - bump2version==1.0.1
      - cffi==1.15.1
      - cfgv==3.3.1
      - coverage==6.5.0
      - coveralls==3.3.1
      - cryptography==44.0.2
      - cython==3.0.12
      - distlib==0.3.9
      - docopt==0.6.2
      - docutils==0.20.1
      - exceptiongroup==1.2.2
      - filelock==3.12.2
      - flake8==5.0.4
      - identify==2.5.24
      - importlib-metadata==4.2.0
      - iniconfig==2.0.0
      - jaraco-classes==3.2.3
      - jeepney==0.9.0
      - keyring==23.9.3
      - markdown-it-py==2.2.0
      - mccabe==0.7.0
      - mdurl==0.1.2
      - more-itertools==9.1.0
      - nodeenv==1.9.1
      - pkginfo==1.10.0
      - platformdirs==2.6.2
      - pluggy==1.2.0
      - pre-commit==2.21.0
      - py==1.11.0
      - pycodestyle==2.9.1
      - pycparser==2.21
      - pyflakes==2.5.0
      - pygments==2.17.2
      - pytest==7.4.4
      - pytest-cov==4.1.0
      - pytest-runner==6.0.1
      - readme-renderer==37.3
      - requests-toolbelt==1.0.0
      - rfc3986==2.0.0
      - rich==13.8.1
      - secretstorage==3.3.3
      - tomli==2.0.1
      - tox==3.28.0
      - twine==4.0.2
      - virtualenv==20.16.2
      - watchdog==3.0.0
      - webencodings==0.5.1
prefix: /opt/conda/envs/xclim

tests/test_subset.py::TestSubsetShape::test_mask_multiregions
tests/test_subset.py::TestSubsetGridPoint::test_simple tests/test_subset.py::TestSubsetGridPoint::test_time_simple tests/test_subset.py::TestSubsetGridPoint::test_time_dates_outofbounds tests/test_subset.py::TestSubsetGridPoint::test_time_start_only tests/test_subset.py::TestSubsetGridPoint::test_time_end_only tests/test_subset.py::TestSubsetGridPoint::test_time_incomplete_years tests/test_subset.py::TestSubsetBbox::test_simple tests/test_subset.py::TestSubsetBbox::test_time tests/test_subset.py::TestSubsetBbox::test_warnings
tests/test_subset.py::TestSubsetGridPoint::test_dataset tests/test_subset.py::TestSubsetGridPoint::test_irregular tests/test_subset.py::TestSubsetGridPoint::test_positive_lons tests/test_subset.py::TestSubsetGridPoint::test_raise tests/test_subset.py::TestSubsetGridPoint::test_tolerance tests/test_subset.py::TestSubsetBbox::test_dataset tests/test_subset.py::TestSubsetBbox::test_irregular tests/test_subset.py::TestSubsetBbox::test_irregular_datset tests/test_subset.py::TestSubsetBbox::test_inverted_coords tests/test_subset.py::TestSubsetBbox::test_single_bounds_rectilinear tests/test_subset.py::TestSubsetBbox::test_single_bounds_curvilinear tests/test_subset.py::TestSubsetBbox::test_positive_lons tests/test_subset.py::TestSubsetBbox::test_raise tests/test_subset.py::TestSubsetShape::test_wraps tests/test_subset.py::TestSubsetShape::test_no_wraps tests/test_subset.py::TestSubsetShape::test_all_neglons tests/test_subset.py::TestSubsetShape::test_rotated_pole_with_time tests/test_subset.py::TestSubsetShape::test_small_poly_buffer tests/test_subset.py::TestDistance::test_values tests/test_subset.py::TestDistance::test_broadcasting
xclim/__init__.py HISTORY.rst setup.py xclim/subset.py setup.cfg
xclim/__init__.py HISTORY.rst setup.py xclim/subset.py setup.cfg