id int64 20 338k | vocab_size int64 2 671 | ast_levels int64 4 32 | nloc int64 1 451 | n_ast_nodes int64 12 5.6k | n_identifiers int64 1 186 | n_ast_errors int64 0 10 | n_words int64 2 2.17k | n_whitespaces int64 2 13.8k | fun_name stringlengths 2 73 | commit_message stringlengths 51 15.3k | url stringlengths 31 59 | code stringlengths 51 31k | ast_errors stringlengths 0 1.46k | token_counts int64 6 3.32k | file_name stringlengths 5 56 | language stringclasses 1
value | path stringlengths 7 134 | commit_id stringlengths 40 40 | repo stringlengths 3 28 | complexity int64 1 153 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
160,530 | 42 | 14 | 16 | 215 | 22 | 0 | 58 | 157 | openhook | ENH: Support character string arrays
TST: added test for issue #18684
ENH: f2py opens files with correct encoding, fixes #635
TST: added test for issue #6308
TST: added test for issue #4519
TST: added test for issue #3425
ENH: Implement user-defined hooks support for post-processing f2py data structure. Implement... | https://github.com/numpy/numpy.git | def openhook(filename, mode):
bytes = min(32, os.path.getsize(filename))
with open(filename, 'rb') as f:
raw = f.read(bytes)
if raw.startswith(codecs.BOM_UTF8):
encoding = 'UTF-8-SIG'
elif raw.startswith((codecs.BOM_UTF32_LE, codecs.BOM_UTF32_BE)):
encoding = 'UTF-32'
el... | 127 | crackfortran.py | Python | numpy/f2py/crackfortran.py | d4e11c7a2eb64861275facb076d47ccd135fa28c | numpy | 5 | |
303,750 | 9 | 9 | 5 | 47 | 6 | 0 | 9 | 41 | async_state_changed | Improve type hints in yeelight lights (#76018)
Co-authored-by: Franck Nijhof <frenck@frenck.nl> | https://github.com/home-assistant/core.git | def async_state_changed(self) -> None:
if not self._device.available:
self._async_cancel_pending_state_check()
self.async_write_ha_state()
| 26 | light.py | Python | homeassistant/components/yeelight/light.py | 66b742f110025013e60ca8cac7aeb3247bac8f47 | core | 2 | |
243,137 | 39 | 12 | 7 | 158 | 18 | 1 | 48 | 138 | test_sanity_ati2 | Add support for ATI1/2(BC4/BC5) DDS files
This commit adds support for loading DDS with ATI1 and ATI2 fourcc pixel format | https://github.com/python-pillow/Pillow.git | def test_sanity_ati2():
with Image.open(TEST_FILE_ATI2) as im:
im.load()
assert im.format == "DDS"
assert im.mode == "RGB"
assert im.size == (128, 128)
assert_image_equal_tofile(im, TEST_FILE_ATI2.replace(".dds", ".png"))
@pytest.mark.parametrize(
("image_path",... | @pytest.mark.parametrize(
("image_path", "expected_path"),
(
# hexeditted to be typeless
(TEST_FILE_DX10_BC5_TYPELESS, TEST_FILE_DX10_BC5_UNORM),
(TEST_FILE_DX10_BC5_UNORM, TEST_FILE_DX10_BC5_UNORM),
# hexeditted to use DX10 FourCC
(TEST_FILE_DX10_BC5_SNORM, TEST_FILE_BC5... | 55 | test_file_dds.py | Python | Tests/test_file_dds.py | ad2c6a20fe874958d8d9adecbbfeb81856155f05 | Pillow | 1 |
60,238 | 26 | 11 | 5 | 92 | 9 | 0 | 28 | 44 | crop_params | Balanced joint maximum mean discrepancy for deep transfer learning | https://github.com/jindongwang/transferlearning.git | def crop_params(fn):
params = fn.params.get('crop_param', fn.params)
axis = params.get('axis', 2) # default to spatial crop for N, C, H, W
offset = np.array(params.get('offset', 0), ndmin=1)
return (axis, offset)
| 55 | coord_map.py | Python | code/deep/BJMMD/caffe/python/caffe/coord_map.py | cc4d0564756ca067516f71718a3d135996525909 | transferlearning | 1 | |
290,734 | 30 | 13 | 17 | 161 | 20 | 0 | 45 | 189 | _async_create_radio_entry | Minor refactor of zha config flow (#82200)
* Minor refactor of zha config flow
* Move ZhaRadioManager to a separate module | https://github.com/home-assistant/core.git | async def _async_create_radio_entry(self) -> FlowResult:
assert self._title is not None
assert self._radio_mgr.radio_type is not None
assert self._radio_mgr.device_path is not None
assert self._radio_mgr.device_settings is not None
device_settings = self._radio_mgr.devi... | 106 | config_flow.py | Python | homeassistant/components/zha/config_flow.py | bb64b39d0e6d41f531af9c63b69d1ce243a2751b | core | 1 | |
135,991 | 41 | 13 | 20 | 200 | 26 | 0 | 57 | 247 | test_foreach_worker | [RLlib] Refactor `WorkerSet` on top of `FaultTolerantActorManager`. (#29938)
Signed-off-by: Jun Gong <jungong@anyscale.com> | https://github.com/ray-project/ray.git | def test_foreach_worker(self):
ws = WorkerSet(
env_creator=lambda _: gym.make("CartPole-v1"),
default_policy_class=RandomPolicy,
config=AlgorithmConfig().rollouts(num_rollout_workers=2),
num_workers=2,
)
policies = ws.foreach_worker(
... | 126 | test_worker_set.py | Python | rllib/evaluation/tests/test_worker_set.py | e707ce4fb3717e3c05118c57f503dfbd03552ca9 | ray | 2 | |
280,144 | 46 | 11 | 39 | 219 | 40 | 4 | 61 | 253 | get_config | Make default `Layer.get_config()` automatically work for a wide range of layers that do not override it.
PiperOrigin-RevId: 480781082 | https://github.com/keras-team/keras.git | def get_config(self):
config = {
"name": self.name,
"trainable": self.trainable,
}
config["dtype"] = policy.serialize(self._dtype_policy)
if hasattr(self, "_batch_input_shape"):
config["batch_input_shape"] = self._batch_input_shape
if... | raise NotImplementedError(
textwrap.dedent(
f"""
Layer {self.__class__.__name__} was created by passingargument valuesand therefore the layer must override `get_config()` in
order to be serializable. Please implement `get_config()`.
Example:order to be serial... | 99 | base_layer.py | Python | keras/engine/base_layer.py | af1408d3255e3db9067522762e22a6c454c56654 | keras | 4 |
127,668 | 37 | 12 | 16 | 77 | 10 | 0 | 42 | 143 | to_object_ref | [AIR] Deprecate `Checkpoint.to_object_ref` and `Checkpoint.from_object_ref` (#28318)
Before
object_ref = checkpoint.to_object_ref()
checkpoint.from_object_ref(object_ref)
After (this is already possible)
object_ref = ray.put(checkpoint)
ray.get(checkpoint)
Why are these changes needed?
We need to effi... | https://github.com/ray-project/ray.git | def to_object_ref(self) -> ray.ObjectRef:
warnings.warn(
"`to_object_ref` is deprecated and will be removed in a future Ray "
"version. To store the checkpoint in the Ray object store, call "
"`ray.put(ckpt)` instead of `ckpt.to_object_ref()`.",
Deprecati... | 43 | checkpoint.py | Python | python/ray/air/checkpoint.py | c2bdee9fea6f354330545009d5e6caec3dd7eb26 | ray | 2 | |
260,762 | 18 | 13 | 15 | 99 | 14 | 0 | 22 | 40 | test_toy_example_collapse_points | MAINT Parameters validation for NeighborhoodComponentsAnalysis (#24195)
Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> | https://github.com/scikit-learn/scikit-learn.git | def test_toy_example_collapse_points():
rng = np.random.RandomState(42)
input_dim = 5
two_points = rng.randn(2, input_dim)
X = np.vstack([two_points, two_points.mean(axis=0)[np.newaxis, :]])
y = [0, 0, 1]
| 132 | test_nca.py | Python | sklearn/neighbors/tests/test_nca.py | d7c978b764c6aafb65cc28757baf3f64da2cae34 | scikit-learn | 1 | |
154,497 | 22 | 10 | 6 | 90 | 11 | 0 | 30 | 76 | deploy | FIX-#4597: Refactor Partition handling of func, args, kwargs (#4715)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Jonathan Shi <jhshi@ponder.io> | https://github.com/modin-project/modin.git | def deploy(cls, func, f_args=None, f_kwargs=None, num_returns=1):
args = [] if f_args is None else f_args
kwargs = {} if f_kwargs is None else f_kwargs
return _deploy_ray_func.options(num_returns=num_returns).remote(
func, *args, **kwargs
)
| 60 | engine_wrapper.py | Python | modin/core/execution/ray/common/engine_wrapper.py | d6d503ac7c3028d871c34d9e99e925ddb0746df6 | modin | 3 | |
320,112 | 2 | 6 | 10 | 13 | 2 | 0 | 2 | 9 | test_scan_file_for_separating_barcodes_pillow_transcode_error | In case pikepdf fails to convert an image to a PIL image, fall back to converting pages to PIL images | https://github.com/paperless-ngx/paperless-ngx.git | def test_scan_file_for_separating_barcodes_pillow_transcode_error(self):
| 69 | test_barcodes.py | Python | src/documents/tests/test_barcodes.py | caf4b54bc7bf828ba170fcc329aa82a0c45da382 | paperless-ngx | 1 | |
40,304 | 120 | 17 | 44 | 472 | 29 | 0 | 195 | 586 | plotting_context | Use f-strings for string formatting (#2800)
Reformats all the text from the old "%-formatted" and .format(...) format to the newer f-string format, as defined in PEP 498. This requires Python 3.6+.
Flynt 0.76 was used to reformat the strings. 45 f-strings were created in 13 files.
F-strings are in general more r... | https://github.com/mwaskom/seaborn.git | def plotting_context(context=None, font_scale=1, rc=None):
if context is None:
context_dict = {k: mpl.rcParams[k] for k in _context_keys}
elif isinstance(context, dict):
context_dict = context
else:
contexts = ["paper", "notebook", "talk", "poster"]
if context not in ... | 290 | rcmod.py | Python | seaborn/rcmod.py | f7e25e18983f2f36a1529cd9e4bda6fa008cbd6d | seaborn | 10 | |
47,420 | 29 | 13 | 8 | 194 | 22 | 0 | 41 | 81 | create_test_pipeline | Replace usage of `DummyOperator` with `EmptyOperator` (#22974)
* Replace usage of `DummyOperator` with `EmptyOperator` | https://github.com/apache/airflow.git | def create_test_pipeline(suffix, trigger_rule):
skip_operator = EmptySkipOperator(task_id=f'skip_operator_{suffix}')
always_true = EmptyOperator(task_id=f'always_true_{suffix}')
join = EmptyOperator(task_id=trigger_rule, trigger_rule=trigger_rule)
final = EmptyOperator(task_id=f'final_{suffix}')
... | 59 | example_skip_dag.py | Python | airflow/example_dags/example_skip_dag.py | 49e336ae0302b386a2f47269a6d13988382d975f | airflow | 1 | |
287,839 | 15 | 11 | 7 | 66 | 9 | 0 | 16 | 74 | async_will_remove_from_hass | Netatmo refactor to use pyatmo 7.0.1 (#73482) (#78523)
Co-authored-by: Robert Svensson <Kane610@users.noreply.github.com> | https://github.com/home-assistant/core.git | async def async_will_remove_from_hass(self) -> None:
await super().async_will_remove_from_hass()
for publisher in self._publishers:
await self.data_handler.unsubscribe(
publisher[SIGNAL_NAME], self.async_update_callback
)
| 39 | netatmo_entity_base.py | Python | homeassistant/components/netatmo/netatmo_entity_base.py | 81abeac83ed85c5753cb8f2ac317caf079cf1868 | core | 2 | |
53,074 | 27 | 11 | 14 | 49 | 5 | 0 | 29 | 105 | import_distributed | Delay import of `distributed`
This improves `prefect` module import times which can be really slow with all of the distributed extras and allows configuration of a `DaskTaskRunner` on a machine without `distributed` installed | https://github.com/PrefectHQ/prefect.git | def import_distributed() -> "distributed":
try:
import distributed
except ImportError as exc:
raise RuntimeError(
"Using the Dask task runner requires Dask `distributed` to be installed."
) from exc
return distributed
| 25 | task_runners.py | Python | src/prefect/task_runners.py | 9de7f04816f1ef884d98ed817e869e73a9523ca1 | prefect | 2 | |
115,994 | 72 | 14 | 20 | 295 | 26 | 0 | 126 | 403 | get_columns | implemented the connection_args and connection_args_example dicts | https://github.com/mindsdb/mindsdb.git | def get_columns(self) -> StatusResponse:
query = "SELECT * FROM S3Object LIMIT 5"
df = self.native_query(query)
response = Response(
RESPONSE_TYPE.TABLE,
data_frame=pd.DataFrame(
{
'column_name': df.columns,
... | 50 | s3_handler.py | Python | mindsdb/integrations/handlers/s3_handler/s3_handler.py | 4c20820d35782ed27f41e964ad2a429420b0eb67 | mindsdb | 1 | |
216,271 | 30 | 15 | 11 | 124 | 10 | 0 | 36 | 164 | _get_job_completion_ipc_path | Enable minion's IPC channel to aggregate results from spawned jobber processes. Use a long-running request channel in the minion parent process to communicate job results back to the master via broker-based or broker-less transport.
This is a necessary optimization for transports that prefer a sustained long-running c... | https://github.com/saltstack/salt.git | def _get_job_completion_ipc_path(self):
if self.opts["ipc_mode"] == "tcp":
# try to find the port and fallback to something if not configured
uxd_path_or_tcp_port = int(
self.opts.get("tcp_job_completion_port", self.opts["tcp_pub_port"] + 1)
)
... | 70 | minion.py | Python | salt/minion.py | 171926cc57618b51bf3fdc042b62212e681180fc | salt | 2 | |
22,117 | 10 | 8 | 10 | 48 | 6 | 0 | 11 | 24 | patch | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | https://github.com/pypa/pipenv.git | def patch(self, url, data=None, **kwargs):
r
return self.request("PATCH", url, data=data, **kwargs)
| 32 | sessions.py | Python | pipenv/patched/pip/_vendor/requests/sessions.py | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | pipenv | 1 | |
248,583 | 36 | 10 | 12 | 177 | 15 | 0 | 48 | 154 | test_guest_access_token | Move the "email unsubscribe" resource, refactor the macaroon generator & simplify the access token verification logic. (#12986)
This simplifies the access token verification logic by removing the `rights`
parameter which was only ever used for the unsubscribe link in email
notifications. The latter has been moved un... | https://github.com/matrix-org/synapse.git | def test_guest_access_token(self):
token = self.macaroon_generator.generate_guest_access_token("@user:tesths")
user_id = self.macaroon_generator.verify_guest_token(token)
self.assertEqual(user_id, "@user:tesths")
# Raises with another secret key
with self.assertRaises(M... | 96 | test_macaroons.py | Python | tests/util/test_macaroons.py | fe1daad67237c2154a3d8d8cdf6c603f0d33682e | synapse | 1 | |
160,733 | 31 | 10 | 6 | 48 | 5 | 0 | 34 | 73 | no_nep50_warning | WIP: Add warning context manager and fix min_scalar for new promotion
Even the new promotion has to use the min-scalar logic to avoid
picking up a float16 loop for `np.int8(3) * 3.`. | https://github.com/numpy/numpy.git | def no_nep50_warning():
# TODO: We could skip the manager entirely if NumPy as a whole is not
# in the warning mode. (Which is NOT thread/context safe.)
token = NO_NEP50_WARNING.set(True)
try:
yield
finally:
NO_NEP50_WARNING.reset(token)
| 24 | _ufunc_config.py | Python | numpy/core/_ufunc_config.py | baaeb9a16c9c28683db97c4fc3d047e86d32a0c5 | numpy | 2 | |
224,136 | 19 | 15 | 17 | 130 | 19 | 0 | 20 | 136 | test_invalid_config | Some manual changes ahead of formatting code with Black | https://github.com/mkdocs/mkdocs.git | def test_invalid_config(self):
file_contents = dedent(
)
config_file = tempfile.NamedTemporaryFile('w', delete=False)
try:
config_file.write(file_contents)
config_file.flush()
config_file.close()
with self.assertRaises(Configu... | 74 | config_tests.py | Python | mkdocs/tests/config/config_tests.py | 372384d8102ddb4be6360f44d1bfddb8b45435a4 | mkdocs | 2 | |
203,227 | 13 | 12 | 9 | 72 | 8 | 0 | 13 | 82 | _get_default_collation | Refs #33476 -- Refactored problematic code before reformatting by Black.
In these cases Black produces unexpected results, e.g.
def make_random_password(
self,
length=10,
allowed_chars='abcdefghjkmnpqrstuvwxyz' 'ABCDEFGHJKLMNPQRSTUVWXYZ' '23456789',
):
or
cursor.execute("""
SELECT ...
""",
... | https://github.com/django/django.git | def _get_default_collation(self, table_name):
with self.connection.cursor() as cursor:
cursor.execute(
,
[self.normalize_name(table_name)],
)
return cursor.fetchone()[0]
| 43 | schema.py | Python | django/db/backends/oracle/schema.py | c5cd8783825b5f6384417dac5f3889b4210b7d08 | django | 1 | |
272,375 | 44 | 16 | 15 | 153 | 17 | 0 | 60 | 184 | _apply_scores | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def _apply_scores(self, scores, value, scores_mask=None, training=None):
if scores_mask is not None:
padding_mask = tf.logical_not(scores_mask)
# Bias so padding positions do not contribute to attention distribution.
# Note 65504. is the max float16 value.
... | 133 | base_dense_attention.py | Python | keras/layers/attention/base_dense_attention.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 4 | |
133,351 | 12 | 11 | 4 | 52 | 9 | 0 | 12 | 44 | update_scheduler | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | https://github.com/ray-project/ray.git | def update_scheduler(self, metric):
self.worker_group.apply_all_operators(
lambda op: [sched.step(metric) for sched in op._schedulers]
)
| 32 | torch_trainer.py | Python | python/ray/util/sgd/torch/torch_trainer.py | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | 2 | |
288,502 | 6 | 9 | 3 | 33 | 7 | 0 | 6 | 20 | auto_update | Supervisor update entity auto update from api (#79611)
* Supervisor update entity auto update from api
* Update api mocks in tests | https://github.com/home-assistant/core.git | def auto_update(self) -> bool:
return self.coordinator.data[DATA_KEY_SUPERVISOR][ATTR_AUTO_UPDATE]
| 20 | update.py | Python | homeassistant/components/hassio/update.py | 416c10a793a982fb8c17259d36b99be458131cd0 | core | 1 | |
272,119 | 64 | 15 | 38 | 329 | 29 | 0 | 114 | 680 | test_shared_embedding_column_with_non_sequence_categorical | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def test_shared_embedding_column_with_non_sequence_categorical(self):
with tf.Graph().as_default():
vocabulary_size = 3
sparse_input_a = tf.compat.v1.SparseTensorValue(
# example 0, ids [2]
# example 1, ids [0, 1]
indices=((0, 0), ... | 216 | sequence_feature_column_test.py | Python | keras/feature_column/sequence_feature_column_test.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 1 | |
268,177 | 164 | 21 | 57 | 556 | 39 | 0 | 348 | 1,100 | package_status | apt: include apt preferences (e.g. pinning) when selecting packages (#78327)
Fixes #77969 | https://github.com/ansible/ansible.git | def package_status(m, pkgname, version_cmp, version, default_release, cache, state):
try:
# get the package from the cache, as well as the
# low-level apt_pkg.Package object which contains
# state fields not directly accessible from the
# higher-level apt.package.Package object.... | 350 | apt.py | Python | lib/ansible/modules/apt.py | 04e892757941bf77198692bbe37041d7a8cbf999 | ansible | 24 | |
265,648 | 17 | 10 | 9 | 88 | 11 | 0 | 18 | 97 | test_interface_label_count_valid | Fixes #10247: Allow changing selected device/VM when creating a new component (#10312)
* Initial work on #10247
* Continued work on #10247
* Clean up component creation tests
* Move valdiation of replicated field to form
* Clean up ordering of fields in component creation forms
* Omit fieldset header if... | https://github.com/netbox-community/netbox.git | def test_interface_label_count_valid(self):
interface_data = {
'device': self.device.pk,
'name': 'eth[0-9]',
'label': 'Interface[0-9]',
'type': InterfaceTypeChoices.TYPE_1GE_GBIC,
}
form = InterfaceCreateForm(interface_data)
self.... | 48 | test_forms.py | Python | netbox/dcim/tests/test_forms.py | c4b7ab067a914349abd88398dd9bfef9f6c2f806 | netbox | 1 | |
154,556 | 113 | 16 | 57 | 498 | 44 | 0 | 171 | 912 | _join_by_index | FEAT-#4946: Replace OmniSci with HDK (#4947)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com> | https://github.com/modin-project/modin.git | def _join_by_index(self, other_modin_frames, how, sort, ignore_index):
if how == "outer":
raise NotImplementedError("outer join is not supported in HDK engine")
lhs = self._maybe_materialize_rowid()
reset_index_names = False
for rhs in other_modin_frames:
... | 315 | dataframe.py | Python | modin/experimental/core/execution/native/implementations/hdk_on_native/dataframe/dataframe.py | e5b1888cd932909e49194d58035da34b210b91c4 | modin | 11 | |
282,373 | 35 | 15 | 17 | 232 | 18 | 0 | 48 | 243 | get_crypto_yfinance | Portfolio class (#1280)
* remerge into main ?
* tests again
* change the example csv
* squash all the bugs
* Improve `add` interface
* Add warning on loading portfolio with no cash
* left a rogue print
* oopsie. hugo
* oopsie. hugo
* Add back a new `al` function + port name
* test
Co... | https://github.com/OpenBB-finance/OpenBBTerminal.git | def get_crypto_yfinance(self):
if self._crypto_tickers:
list_of_coins = [f"{coin}-USD" for coin in self._crypto_tickers]
self._historical_crypto = yf.download(
list_of_coins, start=self._start_date, progress=False
)["Close"]
if len(list_o... | 142 | portfolio_model.py | Python | gamestonk_terminal/portfolio/portfolio_model.py | 2a998a5a417ba81b6ee3c4de90d2ffaca52b46fa | OpenBBTerminal | 5 | |
102,005 | 6 | 9 | 2 | 35 | 5 | 0 | 6 | 20 | active | Update Face Filter
- Remove old face filter
- plugins.extract.pipeline: Expose plugins directly
- Change `is_aligned` from plugin level to ExtractMedia level
- Allow extract pipeline to take faceswap aligned images
- Add ability for recognition plugins to accept aligned faces as input
- Add face filter to r... | https://github.com/deepfakes/faceswap.git | def active(self):
return bool(self._filter_files) or bool(self._nfilter_files)
| 20 | extract.py | Python | scripts/extract.py | 1d1face00d9476896e7857d3976afce383585d1b | faceswap | 2 | |
276,023 | 18 | 13 | 6 | 93 | 9 | 0 | 20 | 72 | _set_network_attributes_from_metadata | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def _set_network_attributes_from_metadata(revived_obj):
with utils.no_automatic_dependency_tracking_scope(revived_obj):
# pylint:disable=protected-access
metadata = revived_obj._serialized_attributes["metadata"]
if metadata.get("dtype") is not None:
revived_obj._set_dtype_po... | 50 | load.py | Python | keras/saving/saved_model/load.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 2 | |
283,220 | 9 | 11 | 4 | 51 | 9 | 0 | 11 | 39 | _words_and_emoticons | Create a packaged app bundle with Pyinstaller (#1525)
* Add dashboard widget assets
* Add ipywidgets and ipyflex to project
* Add currencies dashboard notebook
* Update docs and docstrings
* Add pyinstaller to project deps
* Add pyinstaller artifacts to gitignore
* Fix linter errors in terminal.py
... | https://github.com/OpenBB-finance/OpenBBTerminal.git | def _words_and_emoticons(self):
wes = self.text.split()
stripped = list(map(self._strip_punc_if_word, wes))
return stripped
| 30 | vaderSentiment.py | Python | build/pyinstaller/vaderSentiment/vaderSentiment.py | ab4de1dd70fba866930150e440a03e461a6ca6a8 | OpenBBTerminal | 1 | |
126,370 | 8 | 11 | 4 | 59 | 11 | 0 | 9 | 37 | _reset_replica_iterator | [Serve] ServeHandle detects ActorError and drop replicas from target group (#26685) | https://github.com/ray-project/ray.git | def _reset_replica_iterator(self):
replicas = list(self.in_flight_queries.keys())
random.shuffle(replicas)
self.replica_iterator = itertools.cycle(replicas)
| 34 | router.py | Python | python/ray/serve/_private/router.py | 545c51609f0f55b41cf99cec95a9c21bee6846de | ray | 1 | |
176,368 | 47 | 13 | 18 | 219 | 17 | 1 | 79 | 203 | is_perfect_matching | Update matching functions for error validation and speed (#4897)
* First steps to update matching functions for #4644
Expand tests
Change API to raise NetworkXError when matching involves nodes not in G
Update is_*_matching to 100+ times faster.
* improve matching_dict_to_set and docs for min_weight_matching
... | https://github.com/networkx/networkx.git | def is_perfect_matching(G, matching):
if isinstance(matching, dict):
matching = matching_dict_to_set(matching)
nodes = set()
for edge in matching:
if len(edge) != 2:
raise nx.NetworkXError(f"matching has non-2-tuple edge {edge}")
u, v = edge
if u not in G or... | @not_implemented_for("multigraph")
@not_implemented_for("directed") | 119 | matching.py | Python | networkx/algorithms/matching.py | 28b3014d68d2b4e40d3e02219770296a827bd55c | networkx | 10 |
314,030 | 7 | 7 | 8 | 24 | 4 | 0 | 7 | 21 | assumed_state | Enable polling for hardwired powerview devices (#73659)
* Enable polling for hardwired powerview devices
* Update homeassistant/components/hunterdouglas_powerview/cover.py
* Update homeassistant/components/hunterdouglas_powerview/cover.py
* docs were wrong
* Update homeassistant/components/hunterdouglas_po... | https://github.com/home-assistant/core.git | def assumed_state(self) -> bool:
return not self._is_hard_wired
| 13 | cover.py | Python | homeassistant/components/hunterdouglas_powerview/cover.py | 120479acef9a8e9e52fa356f036e55465e441d31 | core | 1 | |
293,838 | 60 | 11 | 20 | 281 | 23 | 1 | 76 | 170 | test_matching_filter | Simplify time zone setting in tests (#68330)
* Simplify timezone setting in tests
* Fix typo
* Adjust caldav tests
* Adjust input_datetime tests
* Adjust time_date tests
* Adjust tod tests
* Adjust helper tests
* Adjust recorder tests
* Adjust risco tests
* Adjust aemet tests
* Adjust flu... | https://github.com/home-assistant/core.git | async def test_matching_filter(mock_now, hass, calendar, set_tz):
config = dict(CALDAV_CONFIG)
config["custom_calendars"] = [
{"name": "Private", "calendar": "Private", "search": "This is a normal event"}
]
assert await async_setup_component(hass, "calendar", {"calendar": config})
awai... | @pytest.mark.parametrize("set_tz", ["utc"], indirect=True)
@patch("homeassistant.util.dt.now", return_value=_local_datetime(12, 00)) | 124 | test_calendar.py | Python | tests/components/caldav/test_calendar.py | cf4033b1bc853fc70828c6128ac91cdfb1d5bdaf | core | 1 |
43,466 | 11 | 11 | 4 | 71 | 14 | 0 | 11 | 43 | test_send_message_exception | Implement Azure Service Bus Queue Operators (#24038)
Implemented Azure Service Bus Queue based Operator's to create queue, send message to the queue and receive message(list of message or batch message) and delete queue in azure service
- Added `AzureServiceBusCreateQueueOperator`
- Added `AzureServiceBusSendMessag... | https://github.com/apache/airflow.git | def test_send_message_exception(self, mock_sb_client):
hook = MessageHook(azure_service_bus_conn_id=self.conn_id)
with pytest.raises(TypeError):
hook.send_message(queue_name=None, messages="", batch_message_flag=False)
| 42 | test_asb.py | Python | tests/providers/microsoft/azure/hooks/test_asb.py | 09f38ad3f6872bae5059a1de226362eb358c4a7a | airflow | 1 | |
175,300 | 22 | 11 | 5 | 80 | 9 | 0 | 22 | 61 | __setattr__ | bpo-40066: [Enum] update str() and format() output (GH-30582)
Undo rejected PEP-663 changes:
- restore `repr()` to its 3.10 status
- restore `str()` to its 3.10 status
New changes:
- `IntEnum` and `IntFlag` now leave `__str__` as the original `int.__str__` so that str() and format() return the same result
... | https://github.com/python/cpython.git | def __setattr__(cls, name, value):
member_map = cls.__dict__.get('_member_map_', {})
if name in member_map:
raise AttributeError('cannot reassign member %r' % (name, ))
super().__setattr__(name, value)
| 48 | enum.py | Python | Lib/enum.py | acf7403f9baea3ae1119fc6b4a3298522188bf96 | cpython | 2 | |
22,039 | 12 | 10 | 7 | 50 | 6 | 0 | 13 | 46 | unicode_is_ascii | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | https://github.com/pypa/pipenv.git | def unicode_is_ascii(u_string):
assert isinstance(u_string, str)
try:
u_string.encode("ascii")
return True
except UnicodeEncodeError:
return False
| 28 | _internal_utils.py | Python | pipenv/patched/pip/_vendor/requests/_internal_utils.py | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | pipenv | 2 | |
303,773 | 11 | 9 | 5 | 45 | 3 | 0 | 13 | 49 | _clean_up_listener | Add schedule helper (#76566)
Co-authored-by: Paulus Schoutsen <balloob@gmail.com> | https://github.com/home-assistant/core.git | def _clean_up_listener(self) -> None:
if self._unsub_update is not None:
self._unsub_update()
self._unsub_update = None
| 26 | __init__.py | Python | homeassistant/components/schedule/__init__.py | f0827a20c3c0014de7e28dbeba76fc3f2e74fc70 | core | 2 | |
245,544 | 35 | 12 | 14 | 118 | 10 | 0 | 46 | 113 | update_data_root | [Fix] replace mmcv's function and modules imported with mmengine's (#8594)
* use mmengine's load_state_dict and load_checkpoint
* from mmengine import dump
* from mmengine import FileClient dump list_from_file
* remove redundant registry
* update
* update
* update
* replace _load_checkpoint with C... | https://github.com/open-mmlab/mmdetection.git | def update_data_root(cfg, logger=None):
assert isinstance(cfg, Config), \
f'cfg got wrong type: {type(cfg)}, expected mmengine.Config'
if 'MMDET_DATASETS' in os.environ:
dst_root = os.environ['MMDET_DATASETS']
print_log(f'MMDET_DATASETS has been set to be {dst_root}.'
... | 76 | misc.py | Python | mmdet/utils/misc.py | d0695e68654ca242be54e655491aef8c959ac345 | mmdetection | 2 | |
287,795 | 76 | 22 | 131 | 795 | 31 | 0 | 184 | 2,873 | test_ryse_smart_bridge_four_shades_setup | Handle battery services that only report low battery in HomeKit Controller (#79072) | https://github.com/home-assistant/core.git | async def test_ryse_smart_bridge_four_shades_setup(hass):
accessories = await setup_accessories_from_file(
hass, "ryse_smart_bridge_four_shades.json"
)
await setup_test_accessories(hass, accessories)
await assert_devices_and_entities_created(
hass,
DeviceTestInfo(
... | 490 | test_ryse_smart_bridge.py | Python | tests/components/homekit_controller/specific_devices/test_ryse_smart_bridge.py | 917cf674de2db2216681dfec3ef9d63df573ace8 | core | 1 | |
293,754 | 54 | 13 | 14 | 127 | 18 | 0 | 70 | 311 | to_native | Separate attrs into another table (reduces database size) (#68224) | https://github.com/home-assistant/core.git | def to_native(self, validate_entity_id=True):
try:
return State(
self.entity_id,
self.state,
# Join the state_attributes table on attributes_id to get the attributes
# for newer states
json.loads(self.attributes... | 80 | models.py | Python | homeassistant/components/recorder/models.py | 9215702388eef03c7c3ed9f756ea0db533d5beec | core | 3 | |
224,316 | 17 | 13 | 10 | 120 | 17 | 0 | 17 | 115 | test_load_missing_required | Format code with `black -l100 --skip-string-normalization` | https://github.com/mkdocs/mkdocs.git | def test_load_missing_required(self):
config_file = tempfile.NamedTemporaryFile('w', delete=False)
try:
config_file.write("site_dir: output\nsite_uri: https://www.mkdocs.org\n")
config_file.flush()
config_file.close()
with self.assertRaises(exce... | 66 | base_tests.py | Python | mkdocs/tests/config/base_tests.py | dca7cbb43fcd6ea7c677c98ba585395b070d387b | mkdocs | 2 | |
127,791 | 21 | 10 | 8 | 105 | 15 | 0 | 21 | 92 | _create_default_prometheus_configs | Export default configurations for grafana and prometheus (#28286) | https://github.com/ray-project/ray.git | def _create_default_prometheus_configs(self):
prometheus_config_output_path = os.path.join(
self.metrics_root, "prometheus", "prometheus.yml"
)
# Copy default prometheus configurations
if os.path.exists(prometheus_config_output_path):
os.remove(prometheu... | 63 | metrics_head.py | Python | dashboard/modules/metrics/metrics_head.py | 42da4445e7a3cb358a1a02ae433a004e9fa836b5 | ray | 2 | |
259,014 | 58 | 14 | 19 | 246 | 24 | 0 | 81 | 166 | calinski_harabasz_score | FIX Calinski and Harabasz score description (#22605) | https://github.com/scikit-learn/scikit-learn.git | def calinski_harabasz_score(X, labels):
X, labels = check_X_y(X, labels)
le = LabelEncoder()
labels = le.fit_transform(labels)
n_samples, _ = X.shape
n_labels = len(le.classes_)
check_number_of_labels(n_labels, n_samples)
extra_disp, intra_disp = 0.0, 0.0
mean = np.mean(X, axis=0... | 168 | _unsupervised.py | Python | sklearn/metrics/cluster/_unsupervised.py | d548c77980c4a633780cee3671e54ecd2f8cecb4 | scikit-learn | 3 | |
139,696 | 36 | 12 | 30 | 154 | 3 | 0 | 56 | 408 | get_valid_runtime_envs | [Serve] Add deployment graph `import_path` and `runtime_env` to `ServeApplicationSchema` (#24814)
A newly planned version of the Serve schema (used in the REST API and CLI) requires the user to pass in their deployment graph's`import_path` and optionally a runtime_env containing that graph. This new schema can then pi... | https://github.com/ray-project/ray.git | def get_valid_runtime_envs() -> List[Dict]:
return [
# Empty runtime_env
{},
# Runtime_env with remote_URIs
{
"working_dir": (
"https://github.com/shrekris-anyscale/test_module/archive/HEAD.zip"
),
"py_modules": [
... | 78 | test_schema.py | Python | python/ray/serve/tests/test_schema.py | 3a2bd16ecae15d6e26585c32c113dcfe7469ccd7 | ray | 1 | |
42,732 | 17 | 10 | 15 | 192 | 13 | 0 | 27 | 60 | create_directories_and_files | Replace generation of docker volumes to be done from python (#23985)
The pre-commit to generate docker volumes in docker compose
file is now written in Python and it also uses the newer "volume:"
syntax to define the volumes mounted in the docker-compose. | https://github.com/apache/airflow.git | def create_directories_and_files() -> None:
BUILD_CACHE_DIR.mkdir(parents=True, exist_ok=True)
FILES_DIR.mkdir(parents=True, exist_ok=True)
MSSQL_DATA_VOLUME.mkdir(parents=True, exist_ok=True)
KUBE_DIR.mkdir(parents=True, exist_ok=True)
LOGS_DIR.mkdir(parents=True, exist_ok=True)
DIST_DIR.m... | 118 | path_utils.py | Python | dev/breeze/src/airflow_breeze/utils/path_utils.py | 882535a8a2699af7d1d079ecebd8c31aa7fbaba9 | airflow | 1 | |
109,545 | 22 | 10 | 11 | 108 | 4 | 0 | 45 | 139 | _equal_aspect_axis_indices | Provide `adjustable='box'` to 3D axes aspect ratio setting (#23552)
* Provided `adjustable='box'` option to set 3D aspect ratio.
* "What's New": `adjustable` argument of 3D plots aspect ratio. | https://github.com/matplotlib/matplotlib.git | def _equal_aspect_axis_indices(self, aspect):
ax_indices = [] # aspect == 'auto'
if aspect == 'equal':
ax_indices = [0, 1, 2]
elif aspect == 'equalxy':
ax_indices = [0, 1]
elif aspect == 'equalxz':
ax_indices = [0, 2]
elif aspect == '... | 64 | axes3d.py | Python | lib/mpl_toolkits/mplot3d/axes3d.py | 7c6a74c47accdfb8d66e526cbd0b63c29ffede12 | matplotlib | 5 | |
45,599 | 133 | 17 | 54 | 595 | 49 | 0 | 185 | 744 | clear_not_launched_queued_tasks | Add map_index to pods launched by KubernetesExecutor (#21871)
I also did a slight drive-by-refactor (sorry!) to rename `queued_tasks
and `task` inside `clear_not_launched_queued_tasks` to `queued_tis` and
`ti` to reflect what they are. | https://github.com/apache/airflow.git | def clear_not_launched_queued_tasks(self, session=None) -> None:
self.log.debug("Clearing tasks that have not been launched")
if not self.kube_client:
raise AirflowException(NOT_STARTED_MESSAGE)
queued_tis: List[TaskInstance] = (
session.query(TaskInstance).filte... | 318 | kubernetes_executor.py | Python | airflow/executors/kubernetes_executor.py | ac77c89018604a96ea4f5fba938f2fbd7c582793 | airflow | 10 | |
133,790 | 168 | 12 | 34 | 306 | 7 | 0 | 264 | 743 | validate_config | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | https://github.com/ray-project/ray.git | def validate_config(self, config):
# Call (base) PPO's config validation function first.
# Note that this will not touch or check on the train_batch_size=-1
# setting.
super().validate_config(config)
# Error if run on Win.
if sys.platform in ["win32", "cygwin"]:... | 152 | ddppo.py | Python | rllib/agents/ppo/ddppo.py | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | 9 | |
331,644 | 11 | 10 | 4 | 43 | 5 | 0 | 12 | 28 | get_pretrained_cfg_value | Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks. | https://github.com/huggingface/pytorch-image-models.git | def get_pretrained_cfg_value(model_name, cfg_key):
if model_name in _model_pretrained_cfgs:
return _model_pretrained_cfgs[model_name].get(cfg_key, None)
return None | 27 | registry.py | Python | timm/models/registry.py | abc9ba254430ef971ea3dbd12f2b4f1969da55be | pytorch-image-models | 2 | |
158,113 | 18 | 15 | 4 | 86 | 11 | 0 | 19 | 35 | split_batch_multi_inputs | [PaddlePaddle] Merge master into Paddle branch (#1186)
* change 15.2 title in chinese version (#1109)
change title ’15.2. 情感分析:使用递归神经网络‘ to ’15.2. 情感分析:使用循环神经网络‘
* 修改部分语义表述 (#1105)
* Update r0.17.5 (#1120)
* Bump versions in installation
* 94行typo: (“bert.mall”)->(“bert.small”) (#1129)
* line 313: "b... | https://github.com/d2l-ai/d2l-zh.git | def split_batch_multi_inputs(X, y, devices):
X = list(zip(*[gluon.utils.split_and_load(
feature, devices, even_split=False) for feature in X]))
return (X, gluon.utils.split_and_load(y, devices, even_split=False))
| 58 | mxnet.py | Python | d2l/mxnet.py | b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | d2l-zh | 2 | |
84,208 | 45 | 13 | 30 | 178 | 23 | 0 | 52 | 114 | clean_archived_data | retention: Add docstring info on how archive cleaning works.
In particular, it's important to record the special treatment around
ArchivedAttachment rows not being deleted in this step. | https://github.com/zulip/zulip.git | def clean_archived_data() -> None:
logger.info("Cleaning old archive data.")
check_date = timezone_now() - timedelta(days=settings.ARCHIVED_DATA_VACUUMING_DELAY_DAYS)
# Associated archived objects will get deleted through the on_delete=CASCADE property:
count = 0
transaction_ids = list(
... | 105 | retention.py | Python | zerver/lib/retention.py | acfa55138ee2e5f43a0a96614aa0581b115fc714 | zulip | 2 | |
250,533 | 33 | 9 | 44 | 162 | 20 | 0 | 47 | 211 | test_get_multiple_keys_from_perspectives | Add missing type hints to tests. (#14687)
Adds type hints to tests.metrics and tests.crypto. | https://github.com/matrix-org/synapse.git | def test_get_multiple_keys_from_perspectives(self) -> None:
fetcher = PerspectivesKeyFetcher(self.hs)
SERVER_NAME = "server2"
testkey1 = signedjson.key.generate_signing_key("ver1")
testverifykey1 = signedjson.key.get_verify_key(testkey1)
testverifykey1_id = "ed25519:v... | 292 | test_keyring.py | Python | tests/crypto/test_keyring.py | a4ca770655a6b067468de3d507292ec133fdc5ca | synapse | 1 | |
156,160 | 6 | 8 | 2 | 31 | 4 | 0 | 6 | 12 | sample | Bag: add implementation for reservoir sampling (#7068) (#7636)
- Implement the [L algorithm](https://en.wikipedia.org/wiki/Reservoir_sampling#An_optimal_algorithm) for reservoir sampling without replacement.
- Use the **k** reservoir of size 1 strategy for sampling with replacement (see [reference](http://uto... | https://github.com/dask/dask.git | def sample(population, k):
return _sample(population=population, k=k)
| 19 | random.py | Python | dask/bag/random.py | 4e5dfe7463028a39a90e026c7fb9220969093ab3 | dask | 1 | |
292,851 | 10 | 9 | 8 | 35 | 5 | 0 | 10 | 24 | available | Fix powerwall data incompatibility with energy integration (#67245) | https://github.com/home-assistant/core.git | def available(self) -> bool:
return super().available and self.native_value != 0
| 20 | sensor.py | Python | homeassistant/components/powerwall/sensor.py | 3f16c6d6efad20b60a4a8d2114a0905ecd252820 | core | 2 | |
298,591 | 24 | 9 | 14 | 170 | 18 | 0 | 43 | 85 | test_restore_state_uncoherence_case | Use climate enums in generic_thermostat (#70656)
* Use climate enums in generic_thermostat
* Adjust tests | https://github.com/home-assistant/core.git | async def test_restore_state_uncoherence_case(hass):
_mock_restore_cache(hass, temperature=20)
calls = _setup_switch(hass, False)
_setup_sensor(hass, 15)
await _setup_climate(hass)
await hass.async_block_till_done()
state = hass.states.get(ENTITY)
assert state.attributes[ATTR_TEMPERAT... | 105 | test_climate.py | Python | tests/components/generic_thermostat/test_climate.py | b81f8e75eea3d1aaa8111f542519de1d58093200 | core | 1 | |
269,571 | 17 | 14 | 8 | 84 | 10 | 1 | 21 | 67 | int_shape | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def int_shape(x):
try:
shape = x.shape
if not isinstance(shape, tuple):
shape = tuple(shape.as_list())
return shape
except ValueError:
return None
@keras_export("keras.backend.ndim")
@doc_controls.do_not_generate_docs | @keras_export("keras.backend.ndim")
@doc_controls.do_not_generate_docs | 39 | backend.py | Python | keras/backend.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 3 |
247,935 | 31 | 8 | 11 | 126 | 15 | 0 | 39 | 116 | test_linearizer | Convert `Linearizer` tests from `inlineCallbacks` to async (#12353)
Signed-off-by: Sean Quah <seanq@element.io> | https://github.com/matrix-org/synapse.git | def test_linearizer(self) -> None:
linearizer = Linearizer()
key = object()
_, acquired_d1, unblock1 = self._start_task(linearizer, key)
self.assertTrue(acquired_d1.called)
_, acquired_d2, unblock2 = self._start_task(linearizer, key)
self.assertFalse(acquired_... | 76 | test_linearizer.py | Python | tests/util/test_linearizer.py | 41b5f72677ea9763f3cf920d4f6df507653222f2 | synapse | 1 | |
8,639 | 17 | 12 | 5 | 89 | 15 | 0 | 19 | 54 | test_window_autosizing_disabled | Enable dataset window autosizing (#2721)
* set windowed shuffle for large datasets
* documentation
* update to automatic windowing flag
* address reviews
* address reviews
* update logging info and add auto_window flag passthrough
* update tests to use flag passthrough
* more descriptive test cla... | https://github.com/ludwig-ai/ludwig.git | def test_window_autosizing_disabled(self, ray_cluster_small_object_store):
ds = self.create_dataset(self.object_store_size * 8, auto_window=False)
pipe = ds.pipeline()
rep = next(iter(pipe._base_iterable))()
assert rep.num_blocks() == self.num_partitions
| 54 | test_ray.py | Python | tests/integration_tests/test_ray.py | 0d19a48cff0958ed77926a0712cbdb6485d4034a | ludwig | 1 | |
186,362 | 47 | 10 | 7 | 111 | 10 | 0 | 54 | 125 | pick_apache_config | Various clean-ups in certbot-apache. Use f-strings. (#9132)
* Various clean-ups in certbot-apache. Use f-strings.
* Smaller tweaks | https://github.com/certbot/certbot.git | def pick_apache_config(self, warn_on_no_mod_ssl=True):
# Disabling TLS session tickets is supported by Apache 2.4.11+ and OpenSSL 1.0.2l+.
# So for old versions of Apache we pick a configuration without this option.
min_openssl_version = util.parse_loose_version('1.0.2l')
openss... | 66 | configurator.py | Python | certbot-apache/certbot_apache/_internal/configurator.py | eeca208c8f57304590ac1af80b496e61021aaa45 | certbot | 4 | |
9,880 | 5 | 6 | 8 | 20 | 2 | 0 | 5 | 19 | start | feat: star routing (#3900)
* feat(proto): adjust proto for star routing (#3844)
* feat(proto): adjust proto for star routing
* feat(proto): generate proto files
* feat(grpc): refactor grpclet interface (#3846)
* feat: refactor connection pool for star routing (#3872)
* feat(k8s): add more labels to k8s ... | https://github.com/jina-ai/jina.git | def start(self) -> 'BasePod':
...
| 9 | __init__.py | Python | jina/peapods/pods/__init__.py | 933415bfa1f9eb89f935037014dfed816eb9815d | jina | 1 | |
104,813 | 12 | 13 | 6 | 89 | 12 | 0 | 13 | 39 | xbasename | Add support for metadata files to `imagefolder` (#4069)
* Add support for metadata files to `imagefolder`
* Fix imagefolder drop_labels test
* Replace csv with jsonl
* Add test
* Correct resolution for nested metadata files
* Allow None as JSON Lines value
* Add comments
* Count path segments
*... | https://github.com/huggingface/datasets.git | def xbasename(a):
a, *b = str(a).split("::")
if is_local_path(a):
return os.path.basename(Path(a).as_posix())
else:
return posixpath.basename(a)
| 51 | streaming_download_manager.py | Python | src/datasets/utils/streaming_download_manager.py | 7017b0965f0a0cae603e7143de242c3425ecef91 | datasets | 2 | |
142,253 | 86 | 10 | 16 | 182 | 20 | 0 | 120 | 305 | __call__ | [air] Consolidate Tune and Train report (#25558)
Consolidate tune/train report/checkpoint functionality by working with a unified Session interface.
The goal of this PR is to establish a solid Session and Session.report path.
In favor of having less merging conflict (as other folks are doing the whole package renam... | https://github.com/ray-project/ray.git | def __call__(self, _metric=None, **kwargs):
assert self._last_report_time is not None, (
"_StatusReporter._start() must be called before the first "
"report __call__ is made to ensure correct runtime metrics."
)
if _metric:
kwargs[DEFAULT_METRIC] = ... | 107 | function_runner.py | Python | python/ray/tune/function_runner.py | 97f42425dacc914fc90059a010f5a02a5ab3b8c7 | ray | 4 | |
100,318 | 52 | 16 | 15 | 217 | 23 | 0 | 76 | 302 | get_loss_keys | Update code to support Tensorflow versions up to 2.8 (#1213)
* Update maximum tf version in setup + requirements
* - bump max version of tf version in launcher
- standardise tf version check
* update keras get_custom_objects for tf>2.6
* bugfix: force black text in GUI file dialogs (linux)
* dssim loss -... | https://github.com/deepfakes/faceswap.git | def get_loss_keys(self, session_id):
if get_backend() == "amd":
# We can't log the graph in Tensorboard logs for AMD so need to obtain from state file
loss_keys = {int(sess_id): [name for name in session["loss_names"] if name != "total"]
for sess_id, ses... | 126 | stats.py | Python | lib/gui/analysis/stats.py | c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf | faceswap | 9 | |
249,541 | 21 | 11 | 10 | 95 | 12 | 0 | 25 | 103 | test_get_insertion_event_backward_extremities_in_room | Only try to backfill event if we haven't tried before recently (#13635)
Only try to backfill event if we haven't tried before recently (exponential backoff). No need to keep trying the same backfill point that fails over and over.
Fix https://github.com/matrix-org/synapse/issues/13622
Fix https://github.com/matrix... | https://github.com/matrix-org/synapse.git | def test_get_insertion_event_backward_extremities_in_room(self):
setup_info = self._setup_room_for_insertion_backfill_tests()
room_id = setup_info.room_id
backfill_points = self.get_success(
self.store.get_insertion_event_backward_extremities_in_room(room_id)
)
... | 57 | test_event_federation.py | Python | tests/storage/test_event_federation.py | ac1a31740b6d0dfda4d57a25762aaddfde981caf | synapse | 2 | |
274,643 | 30 | 13 | 10 | 115 | 13 | 0 | 33 | 147 | merge_state | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def merge_state(self, metrics):
assign_add_ops = []
for metric in metrics:
if len(self.weights) != len(metric.weights):
raise ValueError(
f"Metric {metric} is not compatible with {self}"
)
for weight, weight_to_add in z... | 67 | base_metric.py | Python | keras/metrics/base_metric.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 4 | |
258,495 | 61 | 13 | 20 | 298 | 23 | 0 | 79 | 216 | manhattan_distances | DOC Ensures that manhattan_distances passes numpydoc validation (#22139)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> | https://github.com/scikit-learn/scikit-learn.git | def manhattan_distances(X, Y=None, *, sum_over_features=True):
X, Y = check_pairwise_arrays(X, Y)
if issparse(X) or issparse(Y):
if not sum_over_features:
raise TypeError(
"sum_over_features=%r not supported for sparse matrices"
% sum_over_features
... | 194 | pairwise.py | Python | sklearn/metrics/pairwise.py | ff09c8a579b116500deade618f93c4dc0d5750bd | scikit-learn | 5 | |
155,898 | 142 | 20 | 55 | 576 | 40 | 0 | 240 | 846 | get_scheduler | Raise warning when using multiple types of schedulers where one is `distributed` (#8700)
Raise a warning when `compute` or `persist` are called with a scheduler different from "dask.distributed" or "distributed" in Dask.distributed mode | https://github.com/dask/dask.git | def get_scheduler(get=None, scheduler=None, collections=None, cls=None):
if get:
raise TypeError(get_err_msg)
if scheduler is not None:
if callable(scheduler):
return scheduler
elif "Client" in type(scheduler).__name__ and hasattr(scheduler, "get"):
return s... | 346 | base.py | Python | dask/base.py | 277859ddfcc30a9070ca560c9e3e2720e5eed616 | dask | 23 | |
101,370 | 79 | 14 | 37 | 262 | 25 | 0 | 112 | 531 | _load_extractor | Bugfix: convert - Gif Writer
- Fix non-launch error on Gif Writer
- convert plugins - linting
- convert/fs_media/preview/queue_manager - typing
- Change convert items from dict to Dataclass | https://github.com/deepfakes/faceswap.git | def _load_extractor(self) -> Optional[Extractor]:
if not self._alignments.have_alignments_file and not self._args.on_the_fly:
logger.error("No alignments file found. Please provide an alignments file for your "
"destination video (recommended) or enable on-the-fly c... | 148 | convert.py | Python | scripts/convert.py | 1022651eb8a7741014f5d2ec7cbfe882120dfa5f | faceswap | 5 | |
107,814 | 7 | 8 | 2 | 29 | 5 | 0 | 7 | 13 | test_strip_comment | Support quoted strings in matplotlibrc
This enables using the comment character # within strings.
Closes #19288.
Superseeds #22565. | https://github.com/matplotlib/matplotlib.git | def test_strip_comment(line, result):
assert cbook._strip_comment(line) == result
| 17 | test_cbook.py | Python | lib/matplotlib/tests/test_cbook.py | 7c378a8f3f30ce57c874a851f3af8af58f1ffdf6 | matplotlib | 1 | |
153,666 | 50 | 15 | 19 | 112 | 9 | 0 | 71 | 245 | _is_zero_copy_possible | FEAT-#4244: Implement dataframe exchange protocol for OmniSci (#4269)
Co-authored-by: Yaroslav Igoshev <Poolliver868@mail.ru>
Co-authored-by: Vasily Litvinov <vasilij.n.litvinov@intel.com>
Signed-off-by: Dmitry Chigarev <dmitry.chigarev@intel.com> | https://github.com/modin-project/modin.git | def _is_zero_copy_possible(self) -> bool:
if self.__is_zero_copy_possible is None:
if self._df._has_arrow_table():
# If PyArrow table is already materialized then we can
# retrieve data zero-copy
self.__is_zero_copy_possible = True
... | 64 | dataframe.py | Python | modin/experimental/core/execution/native/implementations/omnisci_on_native/exchange/dataframe_protocol/dataframe.py | 0c1a2129df64cf45bf1ff49c8ed92c510fdb1c82 | modin | 4 | |
126,252 | 46 | 12 | 19 | 166 | 26 | 0 | 59 | 162 | test_syncer_callback_noop_on_trial_cloud_checkpointing | [air] Add annotation for Tune module. (#27060)
Co-authored-by: Kai Fricke <kai@anyscale.com> | https://github.com/ray-project/ray.git | def test_syncer_callback_noop_on_trial_cloud_checkpointing():
callbacks = _create_default_callbacks(callbacks=[], sync_config=SyncConfig())
syncer_callback = None
for cb in callbacks:
if isinstance(cb, SyncerCallback):
syncer_callback = cb
trial1 = MockTrial(trial_id="a", logdi... | 103 | test_syncer_callback.py | Python | python/ray/tune/tests/test_syncer_callback.py | eb69c1ca286a2eec594f02ddaf546657a8127afd | ray | 3 | |
241,536 | 23 | 9 | 6 | 96 | 7 | 0 | 30 | 48 | test_prefix_metric_keys | Group metrics generated by `DeviceStatsMonitor` for better visualization (#11254)
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> | https://github.com/Lightning-AI/lightning.git | def test_prefix_metric_keys(tmpdir):
metrics = {"1": 1.0, "2": 2.0, "3": 3.0}
prefix = "foo"
separator = "."
converted_metrics = _prefix_metric_keys(metrics, prefix, separator)
assert converted_metrics == {"foo.1": 1.0, "foo.2": 2.0, "foo.3": 3.0}
| 65 | test_device_stats_monitor.py | Python | tests/callbacks/test_device_stats_monitor.py | 05ed9a201c24e08c2b4d3df4735296758ddcd6a5 | lightning | 1 | |
273,619 | 4 | 6 | 2 | 16 | 3 | 0 | 4 | 18 | output_size | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def output_size(self):
raise NotImplementedError
| 8 | abstract_rnn_cell.py | Python | keras/layers/rnn/abstract_rnn_cell.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 1 | |
269,586 | 136 | 14 | 31 | 405 | 40 | 1 | 189 | 444 | categorical_crossentropy | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def categorical_crossentropy(target, output, from_logits=False, axis=-1):
target = tf.convert_to_tensor(target)
output = tf.convert_to_tensor(output)
target.shape.assert_is_compatible_with(output.shape)
# Use logits whenever they are available. `softmax` and `sigmoid`
# activations cache logit... | @keras_export("keras.backend.sparse_categorical_crossentropy")
@tf.__internal__.dispatch.add_dispatch_support
@doc_controls.do_not_generate_docs | 237 | backend.py | Python | keras/backend.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 7 |
156,322 | 6 | 6 | 12 | 19 | 3 | 0 | 6 | 20 | produces_keys | Use DataFrameIOLayer in DataFrame.from_delayed (#8852) | https://github.com/dask/dask.git | def produces_keys(self) -> bool:
return False
| 10 | blockwise.py | Python | dask/blockwise.py | 1ccd1a4f96afa1fe89ea93dcfe66517319b0664d | dask | 1 | |
22,678 | 16 | 11 | 5 | 50 | 6 | 0 | 16 | 59 | set | refactor: clean code
Signed-off-by: slowy07 <slowy.arfy@gmail.com> | https://github.com/geekcomputers/Python.git | def set(self, components):
if len(components) > 0:
self.__components = components
else:
raise Exception("please give any vector")
| 28 | lib.py | Python | linear-algebra-python/src/lib.py | f0af0c43340763724f139fa68aa1e5a9ffe458b4 | Python | 2 | |
176,703 | 23 | 9 | 74 | 83 | 9 | 0 | 25 | 43 | average_clustering | Remove redundant py2 numeric conversions (#5661)
* Remove redundant float conversion
* Remove redundant int conversion
* Use integer division
Co-authored-by: Miroslav Šedivý <6774676+eumiro@users.noreply.github.com> | https://github.com/networkx/networkx.git | def average_clustering(G, nodes=None, mode="dot"):
r
if nodes is None:
nodes = G
ccs = latapy_clustering(G, nodes=nodes, mode=mode)
return sum(ccs[v] for v in nodes) / len(nodes)
| 54 | cluster.py | Python | networkx/algorithms/bipartite/cluster.py | 2a05ccdb07cff88e56661dee8a9271859354027f | networkx | 3 | |
89,862 | 70 | 18 | 45 | 339 | 23 | 0 | 88 | 887 | test_first_event_with_minified_stack_trace_received | ref(onboarding): Add function to record first event per project with min stack trace -(#42208) | https://github.com/getsentry/sentry.git | def test_first_event_with_minified_stack_trace_received(self, record_analytics):
now = timezone.now()
project = self.create_project(first_event=now)
project_created.send(project=project, user=self.user, sender=type(project))
url = "http://localhost:3000"
data = load_data... | 198 | test_onboarding.py | Python | tests/sentry/receivers/test_onboarding.py | ce841204ef3b20d0f6ac812ebb06aebbc63547ac | sentry | 1 | |
260,279 | 9 | 9 | 4 | 49 | 7 | 0 | 9 | 37 | fit | MAINT parameter validation for Normalizer (#23543)
Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> | https://github.com/scikit-learn/scikit-learn.git | def fit(self, X, y=None):
self._validate_params()
self._validate_data(X, accept_sparse="csr")
return self
| 29 | _data.py | Python | sklearn/preprocessing/_data.py | 40e055b362a337cef15645d4b1be046aa782c415 | scikit-learn | 1 | |
86,878 | 15 | 14 | 14 | 69 | 10 | 0 | 18 | 59 | get_region_to_control_producer | chore(hybrid-cloud): AuditLogEntry is a control silo model now (#39890)
In the control silo, creating an audit log entry writes to the db
directly, whilst in region silo mode creating an audit log entry will
instead push to a new kafka producer that consumes into the control silo
asynchronously. | https://github.com/getsentry/sentry.git | def get_region_to_control_producer() -> KafkaProducer:
global _publisher
if _publisher is None:
config = settings.KAFKA_TOPICS.get(settings.KAFKA_REGION_TO_CONTROL)
_publisher = KafkaProducer(
kafka_config.get_kafka_producer_cluster_options(config["cluster"])
)
| 48 | producer.py | Python | src/sentry/region_to_control/producer.py | 941184cd24186324fd9f7f304b7f713041834726 | sentry | 2 | |
181,702 | 19 | 9 | 6 | 60 | 8 | 0 | 23 | 41 | test_source_decode_2 | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | https://github.com/EpistasisLab/tpot.git | def test_source_decode_2():
import_str, op_str, op_obj = source_decode("sklearn.linear_model.LogisticReg")
from sklearn.linear_model import LogisticRegression
assert import_str == "sklearn.linear_model"
assert op_str == "LogisticReg"
assert op_obj is None
| 33 | tpot_tests.py | Python | tests/tpot_tests.py | 388616b6247ca4ea8de4e2f340d6206aee523541 | tpot | 1 | |
20,964 | 47 | 14 | 16 | 171 | 18 | 0 | 58 | 157 | get_allowed_args | check point progress on only bringing in pip==22.0.4 (#4966)
* vendor in pip==22.0.4
* updating vendor packaging version
* update pipdeptree to fix pipenv graph with new version of pip.
* Vendoring of pip-shims 0.7.0
* Vendoring of requirementslib 1.6.3
* Update pip index safety restrictions patch for p... | https://github.com/pypa/pipenv.git | def get_allowed_args(fn_or_class):
# type: (Union[Callable, Type]) -> Tuple[List[str], Dict[str, Any]]
try:
signature = inspect.signature(fn_or_class)
except AttributeError:
import funcsigs
signature = funcsigs.signature(fn_or_class)
args = []
kwargs = {}
for arg, p... | 106 | utils.py | Python | pipenv/vendor/pip_shims/utils.py | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | pipenv | 6 | |
211,029 | 31 | 15 | 12 | 233 | 9 | 0 | 69 | 146 | convert_x_to_bbox | [MOT] Add OC_SORT tracker (#6272)
* add ocsort tracker
* add ocsort deploy
* merge develop
* fix ocsort tracker codes
* fix doc, test=document_fix
* fix doc, test=document_fix | https://github.com/PaddlePaddle/PaddleDetection.git | def convert_x_to_bbox(x, score=None):
w = np.sqrt(x[2] * x[3])
h = x[2] / w
if (score == None):
return np.array(
[x[0] - w / 2., x[1] - h / 2., x[0] + w / 2.,
x[1] + h / 2.]).reshape((1, 4))
else:
score = np.array([score])
return np.array([
... | 167 | ocsort_tracker.py | Python | deploy/pptracking/python/mot/tracker/ocsort_tracker.py | c84153a355d9855fe55cf51d203b8b24e7d884e5 | PaddleDetection | 2 | |
107,206 | 7 | 8 | 3 | 40 | 7 | 0 | 7 | 44 | get_current_underline_thickness | Factor out underline-thickness lookups in mathtext.
Just adding a small helper function. | https://github.com/matplotlib/matplotlib.git | def get_current_underline_thickness(self):
return self.font_output.get_underline_thickness(
self.font, self.fontsize, self.dpi)
| 25 | _mathtext.py | Python | lib/matplotlib/_mathtext.py | b71421e685733b1cade94113b588ca1a773ae558 | matplotlib | 1 | |
86,136 | 23 | 14 | 8 | 112 | 13 | 0 | 23 | 95 | get_form | fix(admin): Fix typo in admin user creation form (#38418)
This fixes the error reported in https://github.com/getsentry/sentry/issues/38303, which appears to be due to a typo in the django module name. | https://github.com/getsentry/sentry.git | def get_form(self, request, obj=None, **kwargs):
defaults = {}
if obj is None:
defaults.update(
{"form": self.add_form, "fields": admin.utils.flatten_fieldsets(self.add_fieldsets)}
)
defaults.update(kwargs)
return super().get_form(request,... | 69 | admin.py | Python | src/sentry/admin.py | d522d620e5e6799000b918278c86cbaa0b1592a1 | sentry | 2 | |
9,760 | 104 | 15 | 6 | 374 | 37 | 0 | 161 | 496 | different | Check gallery up to date as part of CI (#3329)
* Check gallery up to date as part of CI
Fix #2916
* tweak check_gallery.py
* update CI workflow
* update stale doc cache
* update stale docs | https://github.com/RaRe-Technologies/gensim.git | def different(path1, path2):
with open(path1) as fin:
f1 = fin.read()
with open(path2) as fin:
f2 = fin.read()
return f1 != f2
curr_dir = os.path.dirname(__file__)
stale = []
for root, dirs, files in os.walk(os.path.join(curr_dir, 'gallery')):
for f in files:
if f.endswith('.py... | 41 | check_gallery.py | Python | docs/src/check_gallery.py | 9bbf12c330275351e777b553c145066b7c397f95 | gensim | 1 | |
106,118 | 52 | 14 | 22 | 326 | 17 | 0 | 85 | 222 | fast_slice | Clean up Table class docstrings (#5355)
* clean table docstrings
* apply review
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com> | https://github.com/huggingface/datasets.git | def fast_slice(self, offset=0, length=None) -> pa.Table:
if offset < 0:
raise IndexError("Offset must be non-negative")
elif offset >= self._offsets[-1] or (length is not None and length <= 0):
return pa.Table.from_batches([], schema=self._schema)
i = _interpolat... | 214 | table.py | Python | src/datasets/table.py | c902456677116a081f762fa2b4aad13a0aa04d6e | datasets | 7 | |
133,814 | 41 | 11 | 10 | 198 | 18 | 0 | 55 | 93 | _mac | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | https://github.com/ray-project/ray.git | def _mac(model, obs, h):
B, n_agents = obs.size(0), obs.size(1)
if not isinstance(obs, dict):
obs = {"obs": obs}
obs_agents_as_batches = {k: _drop_agent_dim(v) for k, v in obs.items()}
h_flat = [s.reshape([B * n_agents, -1]) for s in h]
q_flat, h_flat = model(obs_agents_as_batches, h_fl... | 130 | qmix_policy.py | Python | rllib/agents/qmix/qmix_policy.py | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | 5 | |
136,639 | 10 | 10 | 5 | 45 | 5 | 0 | 10 | 42 | post_process | KubeRay node provider refactor (#30281)
Implements KubeRay node provider as a "BatchingNodeProvider".
Builds on #29933.
Summary of design
An autoscaler update now works like this:
list pod data from k8s
check if it's safe to proceed with update. Abort the update if not.
do some internal calculation to determ... | https://github.com/ray-project/ray.git | def post_process(self) -> None:
if self.scale_change_needed:
self.submit_scale_request(self.scale_request)
self.scale_change_needed = False
| 26 | batching_node_provider.py | Python | python/ray/autoscaler/batching_node_provider.py | c976799dfd96806ec9972a287835f7a034ec3d2c | ray | 2 | |
309,333 | 6 | 7 | 22 | 27 | 4 | 0 | 8 | 29 | test_circular_import | Use Platform enum in load_platform [tests] (#63904)
* Use Platform enum in numato tests
* Use Platform enum in discovery tests
* Adjust load_platform argument
Co-authored-by: epenet <epenet@users.noreply.github.com> | https://github.com/home-assistant/core.git | def test_circular_import(self):
component_calls = []
platform_calls = []
| 131 | test_discovery.py | Python | tests/helpers/test_discovery.py | b71a22557dc6ca87b6c1871a0e4d3c3a949759fc | core | 1 | |
126,889 | 24 | 8 | 3 | 46 | 7 | 0 | 27 | 62 | __reduce__ | Fix out-of-band deserialization of actor handle (#27700)
When we deserialize actor handle via pickle, we will register it with an outer object ref equaling to itself which is wrong. For out-of-band deserialization, there should be no outer object ref.
Signed-off-by: Jiajun Yao <jeromeyjj@gmail.com> | https://github.com/ray-project/ray.git | def __reduce__(self):
(serialized, _) = self._serialization_helper()
# There is no outer object ref when the actor handle is
# deserialized out-of-band using pickle.
return ActorHandle._deserialization_helper, (serialized, None)
| 27 | actor.py | Python | python/ray/actor.py | f084546d41f0533c1e9e96a7249532d0eb4ff47d | ray | 1 | |
3,763 | 29 | 14 | 12 | 176 | 19 | 0 | 39 | 114 | get_json_schema | 🎉 🎉 Source FB Marketing: performance and reliability fixes (#9805)
* Facebook Marketing performance improvement
* add comments and little refactoring
* fix integration tests with the new config
* improve job status handling, limit concurrency to 10
* fix campaign jobs, refactor manager
* big refactori... | https://github.com/airbytehq/airbyte.git | def get_json_schema(self) -> Mapping[str, Any]:
loader = ResourceSchemaLoader(package_name_from_class(self.__class__))
schema = loader.get_schema("ads_insights")
if self._fields:
schema["properties"] = {k: v for k, v in schema["properties"].items() if k in self._fields}
... | 106 | base_insight_streams.py | Python | airbyte-integrations/connectors/source-facebook-marketing/source_facebook_marketing/streams/base_insight_streams.py | a3aae8017a0a40ff2006e2567f71dccb04c997a5 | airbyte | 6 | |
247,670 | 14 | 9 | 6 | 71 | 12 | 0 | 15 | 50 | test_exception_callback | Add tests for database transaction callbacks (#12198)
Signed-off-by: Sean Quah <seanq@element.io> | https://github.com/matrix-org/synapse.git | def test_exception_callback(self) -> None:
_test_txn = Mock(side_effect=ZeroDivisionError)
after_callback, exception_callback = self._run_interaction(_test_txn)
after_callback.assert_not_called()
exception_callback.assert_called_once_with(987, 654, extra=321)
| 43 | test_database.py | Python | tests/storage/test_database.py | dea577998f221297d3ff30bdf904f7147f3c3d8a | synapse | 1 | |
268,826 | 25 | 13 | 9 | 95 | 11 | 0 | 28 | 55 | print_msg | Put absl logging control flag in a separate file.
Open the APIs for control the logging in Keras.
PiperOrigin-RevId: 419972643 | https://github.com/keras-team/keras.git | def print_msg(message, line_break=True):
# Use `getattr` in case `INTERACTIVE_LOGGING`
# does not have the `enable` attribute.
if INTERACTIVE_LOGGING.enable:
if line_break:
sys.stdout.write(message + '\n')
else:
sys.stdout.write(message)
sys.stdout.flush()
else:
logging.info(messa... | 53 | io_utils.py | Python | keras/utils/io_utils.py | f427e16d9e4a440b5e7e839001255f7cd87127f5 | keras | 3 | |
288,323 | 63 | 12 | 29 | 253 | 17 | 0 | 74 | 289 | test_webhook_person_event | Fix Netatmo scope issue with HA cloud (#79437)
Co-authored-by: Paulus Schoutsen <balloob@gmail.com> | https://github.com/home-assistant/core.git | async def test_webhook_person_event(hass, config_entry, netatmo_auth):
with selected_platforms(["camera"]):
assert await hass.config_entries.async_setup(config_entry.entry_id)
await hass.async_block_till_done()
test_netatmo_event = async_capture_events(hass, NETATMO_EVENT)
assert not ... | 133 | test_camera.py | Python | tests/components/netatmo/test_camera.py | 3e411935bbe07ebe0e7a9f5323734448486d75d7 | core | 1 | |
291,525 | 26 | 13 | 10 | 137 | 13 | 0 | 40 | 119 | _is_today | Fix Sonos alarm 'scheduled_today' attribute logic (#82816)
fixes undefined | https://github.com/home-assistant/core.git | def _is_today(self) -> bool:
recurrence = self.alarm.recurrence
daynum = int(datetime.datetime.today().strftime("%w"))
return (
recurrence in ("DAILY", "ONCE")
or (recurrence == "WEEKENDS" and daynum in WEEKEND_DAYS)
or (recurrence == "WEEKDAYS" and d... | 79 | switch.py | Python | homeassistant/components/sonos/switch.py | f887aeedfe057682f8d5a3abd44082d02fe42758 | core | 7 |
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