[med-svn] [Git][med-team/q2-diversity-lib][master] 7 commits: New upstream version 2024.2.0
Andreas Tille (@tille)
gitlab at salsa.debian.org
Sun Feb 18 13:47:01 GMT 2024
Andreas Tille pushed to branch master at Debian Med / q2-diversity-lib
Commits:
0a6126a1 by Andreas Tille at 2024-02-18T12:46:41+01:00
New upstream version 2024.2.0
- - - - -
5cd6861e by Andreas Tille at 2024-02-18T12:46:41+01:00
routine-update: New upstream version
- - - - -
63a08d8c by Andreas Tille at 2024-02-18T12:46:41+01:00
Update upstream source from tag 'upstream/2024.2.0'
Update to upstream version '2024.2.0'
with Debian dir 208fcea0c515a2aa4dcb715cec58f92ff3bf4ecb
- - - - -
c638bfa3 by Andreas Tille at 2024-02-18T12:47:00+01:00
routine-update: Regenerate debian/control from debian/control.in
- - - - -
75d93205 by Andreas Tille at 2024-02-18T12:59:34+01:00
Autopkgtest for all supported Python3 versions
- - - - -
7d217d3e by Andreas Tille at 2024-02-18T14:40:02+01:00
use python3-pytest-cov
- - - - -
3f1b61bc by Andreas Tille at 2024-02-18T14:42:01+01:00
Upload to unstable
- - - - -
14 changed files:
- .github/workflows/ci-dev.yaml
- README.md
- ci/recipe/meta.yaml
- debian/changelog
- debian/control
- debian/tests/control
- debian/tests/run-unit-test
- q2_diversity_lib/_util.py
- q2_diversity_lib/_version.py
- q2_diversity_lib/alpha.py
- q2_diversity_lib/beta.py
- q2_diversity_lib/plugin_setup.py
- q2_diversity_lib/tests/test_beta.py
- q2_diversity_lib/tests/test_util.py
Changes:
=====================================
.github/workflows/ci-dev.yaml
=====================================
@@ -9,4 +9,4 @@ jobs:
ci:
uses: qiime2/distributions/.github/workflows/lib-ci-dev.yaml at dev
with:
- distro: core
\ No newline at end of file
+ distro: amplicon
=====================================
README.md
=====================================
@@ -1,5 +1,5 @@
# q2-diversity-lib
-
+
This is a QIIME 2 plugin. For details on QIIME 2, see https://qiime2.org.
\ No newline at end of file
=====================================
ci/recipe/meta.yaml
=====================================
@@ -28,6 +28,7 @@ requirements:
- qiime2 {{ qiime2_epoch }}.*
- q2-types {{ qiime2_epoch }}.*
- scikit-bio {{ scikit_bio }}
+ - scikit-learn {{ scikit_learn }}
- scipy {{ scipy }}
- unifrac {{ unifrac }}
- unifrac-binaries {{ unifrac_binaries }}
=====================================
debian/changelog
=====================================
@@ -1,3 +1,12 @@
+q2-diversity-lib (2024.2.0-1) unstable; urgency=medium
+
+ * Team upload.
+ * New upstream version
+ * Regenerate debian/control from debian/control.in (routine-update)
+ * Autopkgtest for all supported Python3 versions
+
+ -- Andreas Tille <tille at debian.org> Sun, 18 Feb 2024 14:40:12 +0100
+
q2-diversity-lib (2023.9.0-1) unstable; urgency=medium
* Team upload.
=====================================
debian/control
=====================================
@@ -11,7 +11,7 @@ Build-Depends: debhelper-compat (= 13),
python3-pytest <!nocheck>,
python3-statsmodels <!nocheck>,
python3-unifrac <!nocheck>,
- qiime (>= 2023.9) <!nocheck>
+ qiime (>= 2024.2) <!nocheck>
Standards-Version: 4.6.2
Vcs-Browser: https://salsa.debian.org/med-team/q2-diversity-lib
Vcs-Git: https://salsa.debian.org/med-team/q2-diversity-lib.git
@@ -25,9 +25,9 @@ Depends: ${shlibs:Depends},
${python3:Depends},
python3-pandas,
python3-sklearn,
- qiime (>= 2023.9),
- q2-emperor (>= 2023.9),
- q2-feature-table (>= 2023.9),
+ qiime (>= 2024.2),
+ q2-emperor (>= 2024.2),
+ q2-feature-table (>= 2024.2),
r-base-core,
r-cran-vegan,
python3-statsmodels,
=====================================
debian/tests/control
=====================================
@@ -1,3 +1,3 @@
Tests: run-unit-test
-Depends: @, python3-pytest
+Depends: @, python3-pytest-cov, python3-all
Restrictions: allow-stderr, skip-not-installable
=====================================
debian/tests/run-unit-test
=====================================
@@ -18,4 +18,7 @@ if [ ! -e /usr/bin/py.test-3 ] ; then
fi
# Run build-time tests
-py.test-3
+for py in $(py3versions -s 2> /dev/null)
+do
+ ${py} -m pytest -v --cov=${pkg}
+done
=====================================
q2_diversity_lib/_util.py
=====================================
@@ -40,7 +40,7 @@ def _partition(table, block_size=100):
@decorator
-def _disallow_empty_tables(wrapped_function, *args, **kwargs):
+def _validate_tables(wrapped_function, *args, **kwargs):
bound_arguments = signature(wrapped_function).bind(*args, **kwargs)
table = bound_arguments.arguments.get('table')
if table is None:
@@ -66,6 +66,12 @@ def _disallow_empty_tables(wrapped_function, *args, **kwargs):
if tab_obj.is_empty():
raise ValueError("The provided table is empty")
+ if np.isnan(tab_obj.matrix_data.data).sum() > 0:
+ raise ValueError("The provided table contains NaN")
+
+ if (tab_obj.matrix_data.data < 0).sum() > 0:
+ raise ValueError("The provided table contains negative values")
+
return wrapped_function(*args, **kwargs)
@@ -98,7 +104,7 @@ def _validate_requested_cpus(wrapped_function, *args, **kwargs):
cpus_requested = b_a_arguments[param_name]
- if cpus_requested == 'auto':
+ if cpus_requested == 0:
# mutate bound_arguments.arguments 'auto' to the requested # of cpus...
b_a_arguments[param_name] = cpus_available
# ...and update cpus requested to prevent TypeError
=====================================
q2_diversity_lib/_version.py
=====================================
@@ -23,9 +23,9 @@ def get_keywords():
# setup.py/versioneer.py will grep for the variable names, so they must
# each be defined on a line of their own. _version.py will just call
# get_keywords().
- git_refnames = " (tag: 2023.9.0, Release-2023.9)"
- git_full = "7f3dce4f02eaddca45bc0afb5819bb433127521a"
- git_date = "2023-10-03 21:55:05 +0000"
+ git_refnames = " (tag: 2024.2.0, Release-2024.2)"
+ git_full = "ed3f3f3d0cd7f0dd93afe37540dd0833db438d53"
+ git_date = "2024-02-16 21:56:40 +0000"
keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
return keywords
=====================================
q2_diversity_lib/alpha.py
=====================================
@@ -9,12 +9,13 @@
import pandas as pd
import skbio.diversity
import biom
+import numpy as np
from q2_types.feature_table import BIOMV210Format
from q2_types.sample_data import AlphaDiversityFormat
from q2_types.tree import NewickFormat
-from ._util import (_drop_undefined_samples, _partition,
- _disallow_empty_tables,
+
+from ._util import (_validate_tables,
_validate_requested_cpus,
_omp_cmd_wrapper)
@@ -44,7 +45,7 @@ METRICS = {
# --------------------- Phylogenetic -----------------------------------------
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def faith_pd(table: BIOMV210Format, phylogeny: NewickFormat,
threads: int = 1) -> AlphaDiversityFormat:
@@ -55,59 +56,64 @@ def faith_pd(table: BIOMV210Format, phylogeny: NewickFormat,
# --------------------- Non-Phylogenetic -------------------------------------
- at _disallow_empty_tables
+def _skbio_alpha_diversity_from_1d(v, metric):
+ # alpha_diversity expects a 2d structure
+ v = np.reshape(v, (1, len(v)))
+ result = skbio.diversity.alpha_diversity(metric=metric,
+ counts=v,
+ ids=['placeholder', ],
+ validate=False)
+ return result.iloc[0]
+
+
+ at _validate_tables
def observed_features(table: biom.Table) -> pd.Series:
presence_absence_table = table.pa(inplace=False)
- return pd.Series(presence_absence_table.sum('sample').astype(int),
- index=table.ids(), name='observed_features')
+ results = []
+ for v in presence_absence_table.iter_data(dense=True):
+ results.append(_skbio_alpha_diversity_from_1d(v.astype(int),
+ 'observed_otus'))
+ results = pd.Series(results, index=table.ids(), name='observed_features')
+ return results
- at _disallow_empty_tables
+ at _validate_tables
def pielou_evenness(table: biom.Table,
drop_undefined_samples: bool = False) -> pd.Series:
if drop_undefined_samples:
- table = _drop_undefined_samples(table, minimum_nonzero_elements=2)
+ def transform_(v, i, m):
+ if (v > 0).sum() < 2:
+ return np.zeros(len(v))
+ else:
+ return v
+
+ table = table.transform(transform_, inplace=False).remove_empty()
results = []
- for partition in _partition(table):
- counts = partition.matrix_data.T.toarray()
- sample_ids = partition.ids(axis='sample')
- results.append(skbio.diversity.alpha_diversity(metric='pielou_e',
- counts=counts,
- ids=sample_ids))
- result = pd.concat(results)
- result.name = 'pielou_evenness'
- return result
-
-
- at _disallow_empty_tables
+ for v in table.iter_data(dense=True):
+ results.append(_skbio_alpha_diversity_from_1d(v, 'pielou_e'))
+ results = pd.Series(results, index=table.ids(), name='pielou_evenness')
+ return results
+
+
+ at _validate_tables
def shannon_entropy(table: biom.Table,
drop_undefined_samples: bool = False) -> pd.Series:
if drop_undefined_samples:
- table = _drop_undefined_samples(table, minimum_nonzero_elements=1)
+ table = table.remove_empty(inplace=False)
results = []
- for partition in _partition(table):
- counts = partition.matrix_data.T.toarray()
- sample_ids = partition.ids(axis='sample')
- results.append(skbio.diversity.alpha_diversity(metric='shannon',
- counts=counts,
- ids=sample_ids))
- result = pd.concat(results)
- result.name = 'shannon_entropy'
- return result
-
-
- at _disallow_empty_tables
+ for v in table.iter_data(dense=True):
+ results.append(_skbio_alpha_diversity_from_1d(v, 'shannon'))
+ results = pd.Series(results, index=table.ids(), name='shannon_entropy')
+ return results
+
+
+ at _validate_tables
def alpha_passthrough(table: biom.Table, metric: str) -> pd.Series:
results = []
- for partition in _partition(table):
- counts = partition.matrix_data.astype(int).T.toarray()
- sample_ids = partition.ids(axis='sample')
-
- results.append(skbio.diversity.alpha_diversity(metric=metric,
- counts=counts,
- ids=sample_ids))
- result = pd.concat(results)
- result.name = metric
- return result
+
+ for v in table.iter_data(dense=True):
+ results.append(_skbio_alpha_diversity_from_1d(v.astype(int), metric))
+ results = pd.Series(results, index=table.ids(), name=metric)
+ return results
=====================================
q2_diversity_lib/beta.py
=====================================
@@ -18,7 +18,8 @@ import numpy as np
from q2_types.distance_matrix import LSMatFormat
from q2_types.feature_table import BIOMV210Format
from q2_types.tree import NewickFormat
-from ._util import (_disallow_empty_tables,
+
+from ._util import (_validate_tables,
_validate_requested_cpus,
_omp_cmd_wrapper)
@@ -51,7 +52,7 @@ METRICS = {
# -------------------- Method Dispatch -----------------------
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def beta_passthrough(table: biom.Table, metric: str, pseudocount: int = 1,
n_jobs: int = 1) -> skbio.DistanceMatrix:
@@ -82,11 +83,11 @@ def beta_passthrough(table: biom.Table, metric: str, pseudocount: int = 1,
pass
return skbio.diversity.beta_diversity(
- metric=metric, counts=counts, ids=sample_ids, validate=True,
+ metric=metric, counts=counts, ids=sample_ids, validate=False,
pairwise_func=sklearn.metrics.pairwise_distances, n_jobs=n_jobs)
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def beta_phylogenetic_passthrough(table: BIOMV210Format,
phylogeny: NewickFormat,
@@ -134,9 +135,7 @@ def beta_phylogenetic_passthrough(table: BIOMV210Format,
return result
-# Note, this method doesn't have a corresponding cli invocation, so we'll
-# just rely on unifrac doing the right thing with `threads` here.
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def beta_phylogenetic_meta_passthrough(tables: BIOMV210Format,
phylogenies: NewickFormat,
@@ -168,7 +167,7 @@ def beta_phylogenetic_meta_passthrough(tables: BIOMV210Format,
# --------------------Non-Phylogenetic-----------------------
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def bray_curtis(table: biom.Table, n_jobs: int = 1) -> skbio.DistanceMatrix:
counts = table.matrix_data.toarray().T
@@ -177,13 +176,13 @@ def bray_curtis(table: biom.Table, n_jobs: int = 1) -> skbio.DistanceMatrix:
metric='braycurtis',
counts=counts,
ids=sample_ids,
- validate=True,
+ validate=False,
pairwise_func=sklearn.metrics.pairwise_distances,
n_jobs=n_jobs
)
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def jaccard(table: biom.Table, n_jobs: int = 1) -> skbio.DistanceMatrix:
counts = table.matrix_data.toarray().T
@@ -192,14 +191,14 @@ def jaccard(table: biom.Table, n_jobs: int = 1) -> skbio.DistanceMatrix:
metric='jaccard',
counts=counts,
ids=sample_ids,
- validate=True,
+ validate=False,
pairwise_func=sklearn.metrics.pairwise_distances,
n_jobs=n_jobs
)
# ------------------------Phylogenetic-----------------------
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def unweighted_unifrac(table: BIOMV210Format,
phylogeny: NewickFormat,
@@ -223,7 +222,7 @@ def unweighted_unifrac(table: BIOMV210Format,
return result
- at _disallow_empty_tables
+ at _validate_tables
@_validate_requested_cpus
def weighted_unifrac(table: BIOMV210Format, phylogeny: NewickFormat,
threads: int = 1, bypass_tips: bool = False
=====================================
q2_diversity_lib/plugin_setup.py
=====================================
@@ -7,7 +7,7 @@
# ----------------------------------------------------------------------------
from qiime2.plugin import (Plugin, Citations, Bool, Int, Range, Choices, Str,
- Float, List)
+ Float, List, Threads)
from q2_types.feature_table import (FeatureTable, Frequency, RelativeFrequency,
PresenceAbsence)
from q2_types.tree import Phylogeny, Rooted
@@ -56,7 +56,7 @@ plugin.methods.register_function(
inputs={'table': FeatureTable[Frequency | RelativeFrequency
| PresenceAbsence],
'phylogeny': Phylogeny[Rooted]},
- parameters={'threads': Int % Range(1, None) | Str % Choices(['auto'])},
+ parameters={'threads': Threads},
outputs=[('vector', SampleData[AlphaDiversity])],
input_descriptions={
'table': "The feature table containing the samples for which Faith's "
@@ -145,8 +145,8 @@ plugin.methods.register_function(
# TODO: Augment citations as needed
plugin.methods.register_function(
function=beta.bray_curtis,
- inputs={'table': FeatureTable[Frequency]},
- parameters={'n_jobs': Int % Range(1, None) | Str % Choices(['auto'])},
+ inputs={'table': FeatureTable[Frequency | RelativeFrequency]},
+ parameters={'n_jobs': Threads},
outputs=[('distance_matrix', DistanceMatrix)],
input_descriptions={
'table': "The feature table containing the samples for which "
@@ -174,7 +174,7 @@ plugin.methods.register_function(
function=beta.jaccard,
inputs={'table': FeatureTable[Frequency | RelativeFrequency
| PresenceAbsence]},
- parameters={'n_jobs': Int % Range(1, None) | Str % Choices(['auto'])},
+ parameters={'n_jobs': Threads},
outputs=[('distance_matrix', DistanceMatrix)],
input_descriptions={
'table': "The feature table containing the samples for which "
@@ -202,7 +202,7 @@ plugin.methods.register_function(
inputs={'table': FeatureTable[Frequency | RelativeFrequency
| PresenceAbsence],
'phylogeny': Phylogeny[Rooted]},
- parameters={'threads': Int % Range(1, None) | Str % Choices(['auto']),
+ parameters={'threads': Threads,
'bypass_tips': Bool},
outputs=[('distance_matrix', DistanceMatrix)],
input_descriptions={
@@ -246,7 +246,7 @@ plugin.methods.register_function(
function=beta.weighted_unifrac,
inputs={'table': FeatureTable[Frequency | RelativeFrequency],
'phylogeny': Phylogeny[Rooted]},
- parameters={'threads': Int % Range(1, None) | Str % Choices(['auto']),
+ parameters={'threads': Threads,
'bypass_tips': Bool},
outputs=[('distance_matrix', DistanceMatrix)],
input_descriptions={
@@ -310,8 +310,7 @@ plugin.methods.register_function(
function=beta.beta_passthrough,
inputs={'table': FeatureTable[Frequency]},
parameters={'metric': Str % Choices(beta.METRICS['NONPHYLO']['UNIMPL']),
- 'pseudocount': Int % Range(1, None),
- 'n_jobs': Int % Range(1, None) | Str % Choices(['auto'])},
+ 'pseudocount': Int % Range(1, None), 'n_jobs': Threads},
outputs=[('distance_matrix', DistanceMatrix)],
input_descriptions={
'table': 'The feature table containing the samples over which beta '
@@ -347,7 +346,7 @@ plugin.methods.register_function(
inputs={'table': FeatureTable[Frequency],
'phylogeny': Phylogeny[Rooted]},
parameters={'metric': Str % Choices(beta.METRICS['PHYLO']['UNIMPL']),
- 'threads': Int % Range(1, None) | Str % Choices(['auto']),
+ 'threads': Threads,
'variance_adjusted': Bool,
'alpha': Float % Range(0, 1, inclusive_end=True),
'bypass_tips': Bool},
@@ -412,13 +411,12 @@ plugin.methods.register_function(
]
)
-
plugin.methods.register_function(
function=beta.beta_phylogenetic_meta_passthrough,
inputs={'tables': List[FeatureTable[Frequency]],
'phylogenies': List[Phylogeny[Rooted]]},
parameters={'metric': Str % Choices(beta.METRICS['PHYLO']['UNIMPL']),
- 'threads': Int % Range(1, None) | Str % Choices(['auto']),
+ 'threads': Threads,
'variance_adjusted': Bool,
'alpha': Float % Range(0, 1, inclusive_end=True),
'bypass_tips': Bool,
=====================================
q2_diversity_lib/tests/test_beta.py
=====================================
@@ -92,6 +92,33 @@ class BrayCurtisTests(TestPluginBase):
npt.assert_almost_equal(actual[id1, id2],
self.expected[id1, id2])
+ def test_bray_curtis_relative_frequency(self):
+ input_table = biom.Table(
+ np.array([
+ [0.3, 0, 0.77, 0.5],
+ [0.1, 0, 0.15, 0.25],
+ [0.6, 1, 0.08, 0.25]
+ ]),
+ ['A', 'B', 'C'],
+ ['S1', 'S2', 'S3', 'S4']
+ )
+ expected = skbio.DistanceMatrix(
+ [
+ [0.0000000, 0.4, 0.52, 0.35],
+ [0.4, 0.0000000, 0.92, 0.75],
+ [0.52, 0.92, 0.0000000, 0.27],
+ [0.35, 0.75, 0.27, 0.0000000]
+ ],
+ ids=['S1', 'S2', 'S3', 'S4']
+ )
+ actual = bray_curtis(table=input_table, n_jobs=1)
+ self.assertEqual(actual.ids, self.expected.ids)
+ for id1 in actual.ids:
+ for id2 in actual.ids:
+ npt.assert_almost_equal(
+ actual[id1, id2], expected[id1, id2]
+ )
+
class JaccardTests(TestPluginBase):
package = 'q2_diversity_lib.tests'
@@ -403,7 +430,7 @@ class BetaPassthroughTests(TestPluginBase):
['S1', 'S2'])
t = Artifact.import_data('FeatureTable[Frequency]', t)
- with self.assertRaisesRegex(ValueError, 'cannot.*negative values'):
+ with self.assertRaisesRegex(ValueError, '.*negative values'):
self.method(table=t, metric='canberra_adkins')
def test_jensenshannon(self):
=====================================
q2_diversity_lib/tests/test_util.py
=====================================
@@ -17,8 +17,8 @@ from qiime2.plugin.testing import TestPluginBase
from q2_types.feature_table import BIOMV210Format
from q2_types.tree import NewickFormat
-from .._util import (_disallow_empty_tables, _validate_requested_cpus,
- _partition)
+from .._util import (_validate_requested_cpus,
+ _partition, _validate_tables)
class PartitionTests(TestPluginBase):
@@ -44,7 +44,7 @@ class PartitionTests(TestPluginBase):
self.assertEqual(tab, partitions[0])
-class DisallowEmptyTablesTests(TestPluginBase):
+class ValidateTablesTests(TestPluginBase):
package = 'q2_diversity_lib.tests'
def setUp(self):
@@ -66,17 +66,34 @@ class DisallowEmptyTablesTests(TestPluginBase):
self.invalid_view_type]
self.has_empty_table_list = [self.empty_table_as_BIOMV210Format,
self.valid_table_as_BIOMV210Format]
-
- @_disallow_empty_tables
+ self.has_nan = biom.Table(np.array([[np.nan, 0, 1],
+ [2, 3, 4]]),
+ ['a', 'b'],
+ ['x', 'y', 'z'])
+ self.has_neg = biom.Table(np.array([[-1, 0, 1],
+ [2, 3, 4]]),
+ ['a', 'b'],
+ ['x', 'y', 'z'])
+
+ @_validate_tables
def f1(table: biom.Table):
pass
self.function_with_table_param = f1
- @_disallow_empty_tables
+ @_validate_tables
def f2():
pass
self.function_without_table_param = f2
+ def test_pass_table_with_nan(self):
+ with self.assertRaisesRegex(ValueError, "table.*contains NaN"):
+ self.function_with_table_param(self.has_nan)
+
+ def test_pass_table_with_negative_values(self):
+ with self.assertRaisesRegex(ValueError,
+ "table.*contains negative values"):
+ self.function_with_table_param(self.has_neg)
+
def test_pass_empty_table_positionally(self):
with self.assertRaisesRegex(ValueError, "table.*is empty"):
self.function_with_table_param(self.empty_table_as_BIOMV210Format)
@@ -97,12 +114,12 @@ class DisallowEmptyTablesTests(TestPluginBase):
def test_decorated_lambda_with_table_param(self):
with self.assertRaisesRegex(ValueError, "table.*is empty"):
- decorated_lambda = _disallow_empty_tables(lambda table: None)
+ decorated_lambda = _validate_tables(lambda table: None)
decorated_lambda(self.empty_table_as_BIOMV210Format)
def test_decorated_lambda_with_table_param_list(self):
with self.assertRaisesRegex(ValueError, "table.*is empty"):
- decorated_lambda = _disallow_empty_tables(lambda table: None)
+ decorated_lambda = _validate_tables(lambda table: None)
decorated_lambda(self.has_empty_table_list)
def test_wrapped_function_has_no_table_param(self):
@@ -217,13 +234,13 @@ class ValidateRequestedCPUsTests(TestPluginBase):
self.assertEqual(self.function_w_n_jobs_param(), 3)
@mock.patch("q2_diversity_lib._util.psutil.Process")
- def test_auto_passed_to_cpu_request(self, mock_process):
+ def test_zero_passed_to_cpu_request(self, mock_process):
mock_process = psutil.Process()
mock_process.cpu_affinity = mock.MagicMock(return_value=[0, 1, 2])
- self.assertEqual(self.function_w_n_jobs_param('auto'), 3)
- self.assertEqual(self.function_w_n_jobs_param(n_jobs='auto'), 3)
- self.assertEqual(self.function_w_threads_param('auto'), 3)
- self.assertEqual(self.function_w_threads_param(threads='auto'), 3)
+ self.assertEqual(self.function_w_n_jobs_param(0), 3)
+ self.assertEqual(self.function_w_n_jobs_param(n_jobs=0), 3)
+ self.assertEqual(self.function_w_threads_param(0), 3)
+ self.assertEqual(self.function_w_threads_param(threads=0), 3)
@mock.patch("q2_diversity_lib._util.psutil.Process")
def test_cpu_request_through_framework(self, mock_process):
View it on GitLab: https://salsa.debian.org/med-team/q2-diversity-lib/-/compare/9da617cd667bc500edc924314c092d0f701e5c48...3f1b61bc9258f399556931575b26a204db0628b2
--
View it on GitLab: https://salsa.debian.org/med-team/q2-diversity-lib/-/compare/9da617cd667bc500edc924314c092d0f701e5c48...3f1b61bc9258f399556931575b26a204db0628b2
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