remove logging library from ensembles module

.pre-commit-config.yaml

@@ -27,11 +27,10 @@ repos:
         additional_dependencies: [ 'flake8-rst-docstrings' ]
         args: [ '--config=setup.cfg' ]
   - repo: https://github.com/psf/black
-    rev: 22.1.0
+    rev: 22.3.0
     hooks:
       - id: black
         args: [ "--target-version", "py38" ]
-        additional_dependencies: ['click==8.0.4']
   - repo: https://github.com/PyCQA/isort
     rev: 5.10.1
     hooks:

HISTORY.rst

@@ -23,6 +23,7 @@ Bug fixes
 Internal changes
 ^^^^^^^^^^^^^^^^
 * `xclim` now uses the ``check-json`` and ``pretty-format-json`` pre-commit checks to validate and format JSON files. (:pull:`1032`).
+* The few `logging` artifacts in the ``xclim.ensembles`` module have been replaced with `warnings.warn` calls or removed. (:issue:`1039`, :pull:`1044`).
 
 0.34.0 (25-02-2022)
 -------------------

environment.yml

@@ -21,7 +21,7 @@ dependencies:
     - scipy>=1.2
     - xarray>=0.17
     # Testing and development dependencies
-    - black
+    - black>=22.3
     - bump2version
     - coverage
     - distributed>=2.0

requirements_dev.txt

@@ -1,7 +1,6 @@
 # dev tools and testing
-black
+black>=22.3
 bump2version
-click==8.0.4
 coverage
 flake8
 flake8-rst-docstrings

tox.ini

@@ -7,7 +7,6 @@ opts = -v
 skip_install = True
 extras =
 deps =
-    click==8.0.4
     flake8
     flake8-rst-docstrings
     black[jupyter]

xclim/ensembles/_base.py

@@ -7,7 +7,7 @@
 
 from xclim.core.calendar import convert_calendar, get_calendar
 from xclim.core.formatting import update_history
-from xclim.core.utils import calc_perc, logger
+from xclim.core.utils import calc_perc
 
 
 def create_ensemble(
@@ -302,7 +302,6 @@ def _ens_align_datasets(
 
     ds_all = []
     for i, n in enumerate(datasets):
-        logger.info(f"Accessing {n} of {len(datasets)}")
         if mf_flag:
             ds = xr.open_mfdataset(n, combine="by_coords", **xr_kwargs)
         else:

xclim/ensembles/_reduce.py

@@ -6,27 +6,24 @@
 order to reduce the volume of computation needed while still covering a good portion of
 the simulated climate variability.
 """
-import logging
-import warnings
 from typing import Optional, Tuple, Union
+from warnings import warn
 
 import numpy as np
 import scipy.stats
 import xarray
 from scipy.spatial.distance import cdist
 from sklearn.cluster import KMeans
 
-logger = logging.getLogger("xclim")
-
 # Avoid having to include matplotlib in xclim requirements
 try:
     from matplotlib import pyplot as plt
 
-    logger.info("Matplotlib installed. Setting make_graph to True.")
+    warn("Matplotlib installed. Setting make_graph to True.")
     MPL_INSTALLED = True
 
 except ImportError:
-    logger.info("Matplotlib not found. No graph data will be produced.")
+    warn("Matplotlib not found. No graph data will be produced.")
     plt = None
     MPL_INSTALLED = False
 
@@ -370,7 +367,7 @@ def _get_nclust(method=None, n_sim=None, rsq=None, max_clusters=None):
     else:
         raise Exception(f"Unknown selection method : {list(method.keys())}")
     if n_clusters > max_clusters:
-        warnings.warn(
+        warn(
             f"{n_clusters} clusters has been found to be the optimal number of clusters, but limiting "
             f"to {max_clusters} as required by user provided max_clusters",
             UserWarning,