complexity int64 1 56 | n_identifiers int64 1 114 | code stringlengths 19 12.7k | path stringlengths 8 134 | n_ast_nodes int64 12 2.35k | ast_errors stringlengths 0 4.01k | repo stringlengths 3 28 | documentation dict | n_words int64 2 866 | language stringclasses 1
value | vocab_size int64 2 323 | commit_id stringlengths 40 40 | file_name stringlengths 5 79 | id int64 243 338k | nloc int64 1 228 | token_counts int64 5 1.4k | fun_name stringlengths 1 77 | url stringlengths 31 60 | commit_message stringlengths 3 15.3k | n_whitespaces int64 1 3.23k | n_ast_errors int64 0 20 | d_id int64 74 121k | ast_levels int64 4 29 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10 | 21 | def show(*names, **kwargs):
kwargs = salt.utils.args.clean_kwargs(**kwargs)
refresh = kwargs.pop("refresh", False)
filter_ = salt.utils.args.split_input(
kwargs.pop("filter", []),
lambda x: str(x) if not isinstance(x, str) else x.lower(),
)
if kwargs:
salt.utils.args.inv... | salt/modules/aptpkg.py | 200 | salt | {
"docstring": "\n .. versionadded:: 2019.2.0\n\n Runs an ``apt-cache show`` on the passed package names, and returns the\n results in a nested dictionary. The top level of the return data will be\n the package name, with each package name mapping to a dictionary of version\n numbers to any additional ... | 43 | Python | 36 | f2a783643de61cac1ff3288b40241e5ce6e1ddc8 | aptpkg.py | 215,944 | 34 | 225 | show | https://github.com/saltstack/salt.git | Update to latest ``pyupgrade`` hook. Stop skipping it on CI.
Signed-off-by: Pedro Algarvio <palgarvio@vmware.com> | 105 | 0 | 54,267 | 13 | |
12 | 34 | def gaunt(l_1, l_2, l_3, m_1, m_2, m_3, prec=None):
r
l_1, l_2, l_3, m_1, m_2, m_3 = [
as_int(i) for i in (l_1, l_2, l_3, m_1, m_2, m_3)]
if l_1 + l_2 - l_3 < 0:
return S.Zero
if l_1 - l_2 + l_3 < 0:
return S.Zero
if -l_1 + l_2 + l_3 < 0:
return S.Zero
if (m_1 + ... | sympy/physics/wigner.py | 736 | sympy | {
"docstring": "\n Calculate the Gaunt coefficient.\n\n Explanation\n ===========\n\n The Gaunt coefficient is defined as the integral over three\n spherical harmonics:\n\n .. math::\n\n \\begin{aligned}\n \\operatorname{Gaunt}(l_1,l_2,l_3,m_1,m_2,m_3)\n &=\\int Y_{l_1,m_1}(\\Om... | 306 | Python | 106 | bcb817024d689b65db350a5a565c08f367b899ee | wigner.py | 200,006 | 141 | 505 | gaunt | https://github.com/sympy/sympy.git | Update wigner.py | 517 | 0 | 49,490 | 20 | |
1 | 8 | def test_profile_typesafety():
with pytest.raises(TypeError, match="Invalid type for Profile"):
ImageCms.ImageCmsProfile(0).tobytes()
with pytest.raises(TypeError, match="Invalid type for Profile"):
ImageCms.ImageCmsProfile(1).tobytes()
| Tests/test_imagecms.py | 90 | Pillow | {
"docstring": "Profile init type safety\n\n prepatch, these would segfault, postpatch they should emit a typeerror\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 14,
"vocab_size": 14
} | 16 | Python | 10 | 983a6139d57b37a883344972c6b1de50bb757de0 | test_imagecms.py | 243,028 | 5 | 49 | test_profile_typesafety | https://github.com/python-pillow/Pillow.git | Check other exception messages | 39 | 0 | 69,956 | 11 | |
2 | 24 | def _crop_source_faces(self):
logger.debug("Updating source faces")
self._faces = {}
for image in self.source:
detected_face = image["detected_faces"][0]
src_img = image["image"]
detected_face.load_aligned(src_img, size=self._size, centering=self._cen... | tools/preview/preview.py | 247 | faceswap | {
"docstring": " Extract the source faces from the source frames, along with their filenames and the\n transformation matrix used to extract the faces. ",
"language": "en",
"n_whitespaces": 29,
"n_words": 21,
"vocab_size": 17
} | 39 | Python | 33 | 71c20252c2e747f692289cdefe80ad0d5a456ea6 | preview.py | 100,516 | 17 | 150 | _crop_source_faces | https://github.com/deepfakes/faceswap.git | bugfix: Preview Tool, ensure all config items are written | 396 | 0 | 19,982 | 14 | |
8 | 11 | def partition_spans_by_kind(traces):
server_spans = []
client_spans = []
internal_spans = []
for trace in traces:
for span in trace['spans']:
for tag in span['tags']:
if 'span.kind' == tag.get('key', ''):
span_kind = tag.get('value', '')
... | tests/integration/instrumentation/__init__.py | 180 | jina | {
"docstring": "Returns three lists each containing spans of kind SpanKind.SERVER, SpanKind.CLIENT and SpandKind.INTERNAL",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | 51 | Python | 35 | 107631e955b21db8a4ddb3bee02130de3650d032 | __init__.py | 13,265 | 16 | 102 | partition_spans_by_kind | https://github.com/jina-ai/jina.git | feat(instrumentation): add OpenTelemetry tracing and metrics with basic configurations (#5175) | 247 | 0 | 2,592 | 18 | |
2 | 5 | def PreStem(name=None):
if name is None:
name = "prestem" + str(backend.get_uid("prestem"))
| keras/applications/convnext.py | 49 | keras | {
"docstring": "Normalizes inputs with ImageNet-1k mean and std.\n\n Args:\n name (str): Name prefix.\n\n Returns:\n A presemt function.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 16,
"vocab_size": 16
} | 11 | Python | 10 | 2d1086447a25d281f9428832d046c473d80ad761 | convnext.py | 269,281 | 5 | 30 | PreStem | https://github.com/keras-team/keras.git | Corrected preprocess_input docstring in regnet.py and convnext.py | 24 | 0 | 80,000 | 14 | |
1 | 6 | async def get_users_expiring_soon(self) -> List[Tuple[str, int]]:
| synapse/storage/databases/main/registration.py | 27 | synapse | {
"docstring": "Selects users whose account will expire in the [now, now + renew_at] time\n window (see configuration for account_validity for information on what renew_at\n refers to).\n\n Returns:\n A list of tuples, each with a user ID and expiration time (in milliseconds).\n ... | 6 | Python | 6 | 1783156dbcf4164692e66275d1c29857c434995b | registration.py | 248,020 | 15 | 47 | get_users_expiring_soon | https://github.com/matrix-org/synapse.git | Add some type hints to datastore (#12423)
* Add some type hints to datastore
* newsfile
* change `Collection` to `List`
* refactor return type of `select_users_txn`
* correct type hint in `stream.py`
* Remove `Optional` in `select_users_txn`
* remove not needed return type in `__init__`
* Revert c... | 13 | 0 | 72,051 | 6 | |
7 | 14 | def get_topic_progress(topic, course_name, program):
student = get_current_student()
if not student:
return None
course_enrollment = get_or_create_course_enrollment(course_name, program)
progress = student.get_topic_progress(course_enrollment.name, topic)
if not progress:
return None
count = sum([activity["... | erpnext/education/utils.py | 188 | erpnext | {
"docstring": "\n\tReturn the porgress of a course in a program as well as the content to continue from.\n\t :param topic_name:\n\t :param course_name:\n\t",
"language": "en",
"n_whitespaces": 34,
"n_words": 21,
"vocab_size": 17
} | 59 | Python | 36 | 494bd9ef78313436f0424b918f200dab8fc7c20b | utils.py | 65,962 | 15 | 113 | get_topic_progress | https://github.com/frappe/erpnext.git | style: format code with black | 44 | 0 | 14,072 | 11 | |
1 | 9 | def subscription_app_deleted_webhook(subscription_webhook):
return subscription_webhook(
APP_DELETED_SUBSCRIPTION_QUERY, WebhookEventAsyncType.APP_DELETED
)
APP_STATUS_CHANGED_SUBSCRIPTION_QUERY = (
APP_DETAILS_FRAGMENT
+
)
@pytest.fixture | saleor/plugins/webhook/tests/subscription_webhooks/fixtures.py | 42 | @pytest.fixture | saleor | {
"docstring": "\n subscription{\n event{\n ...on AppStatusChanged{\n app{\n ...AppDetails\n }\n }\n }\n }\n",
"language": "en",
"n_whitespaces": 69,
"n_words": 10,
"vocab_size": 7
} | 14 | Python | 13 | b5e414c98a1535d287721c859994424cf0eea081 | fixtures.py | 27,099 | 4 | 14 | subscription_app_deleted_webhook | https://github.com/saleor/saleor.git | New events related to apps changes. (#9698)
* New events related to apps changes.
* Schema update after rebase
* CHANGELOG.md update
* New events description fix
* Missing app event added to CHANGELOG.md | 30 | 1 | 5,092 | 8 |
1 | 4 | def entity_id(self) -> str: # type: ignore[override]
return self._entity_id
| homeassistant/helpers/template.py | 23 | core | {
"docstring": "Wrap State.entity_id.\n\n Intentionally does not collect state\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 7,
"vocab_size": 7
} | 9 | Python | 9 | aa02a53ac667d08c66a536baf139993bcfe4d7d6 | template.py | 291,227 | 6 | 12 | entity_id | https://github.com/home-assistant/core.git | Add type hints to template states (#82582)
* Add type hints to template states
* Undo rename
* Remove invalid mypy issue link | 24 | 0 | 90,337 | 6 | |
2 | 16 | def compute_or_load(self, wav_file):
pitch_file = self.create_pitch_file_path(wav_file, self.cache_path)
if not os.path.exists(pitch_file):
pitch = self._compute_and_save_pitch(self.ap, wav_file, pitch_file)
else:
pitch = np.load(pitch_file)
return pitch.... | TTS/tts/datasets/dataset.py | 102 | TTS | {
"docstring": "\n compute pitch and return a numpy array of pitch values\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 9
} | 21 | Python | 18 | 176b712c1a40cf630da9a77f1826836723c40fde | dataset.py | 262,049 | 7 | 64 | compute_or_load | https://github.com/coqui-ai/TTS.git | Refactor TTSDataset ⚡️ | 78 | 0 | 77,108 | 11 | |
1 | 35 | def test_enqueue_task_instances_sets_ti_state_to_None_if_dagrun_in_finish_state(self, state, dag_maker):
dag_id = 'SchedulerJobTest.test_enqueue_task_instances_with_queued_state'
task_id_1 = 'dummy'
session = settings.Session()
with dag_maker(dag_id=dag_id, start_date=DEFAULT_DA... | tests/jobs/test_scheduler_job.py | 233 | airflow | {
"docstring": "This tests that task instances whose dagrun is in finished state are not queued",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 14
} | 47 | Python | 38 | 49e336ae0302b386a2f47269a6d13988382d975f | test_scheduler_job.py | 47,522 | 17 | 139 | test_enqueue_task_instances_sets_ti_state_to_None_if_dagrun_in_finish_state | https://github.com/apache/airflow.git | Replace usage of `DummyOperator` with `EmptyOperator` (#22974)
* Replace usage of `DummyOperator` with `EmptyOperator` | 174 | 0 | 9,144 | 11 | |
3 | 20 | def _class_means(X, y):
xp, is_array_api = get_namespace(X)
classes, y = xp.unique_inverse(y)
means = xp.zeros(shape=(classes.shape[0], X.shape[1]))
if is_array_api:
for i in range(classes.shape[0]):
means[i, :] = xp.mean(X[y == i], axis=0)
else:
# TODO: Explore the... | sklearn/discriminant_analysis.py | 186 | scikit-learn | {
"docstring": "Compute class means.\n\n Parameters\n ----------\n X : array-like of shape (n_samples, n_features)\n Input data.\n\n y : array-like of shape (n_samples,) or (n_samples, n_targets)\n Target values.\n\n Returns\n -------\n means : array-like of shape (n_classes, n_feat... | 60 | Python | 53 | 2710a9e7eefd2088ce35fd2fb6651d5f97e5ef8b | discriminant_analysis.py | 261,005 | 12 | 121 | _class_means | https://github.com/scikit-learn/scikit-learn.git | ENH Adds Array API support to LinearDiscriminantAnalysis (#22554)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> | 134 | 0 | 76,620 | 14 | |
4 | 9 | def degree_centrality(G):
if len(G) <= 1:
return {n: 1 for n in G}
s = 1.0 / (len(G) - 1.0)
centrality = {n: d * s for n, d in G.degree()}
return centrality
@not_implemented_for("undirected") | networkx/algorithms/centrality/degree_alg.py | 102 | @not_implemented_for("undirected") | networkx | {
"docstring": "Compute the degree centrality for nodes.\n\n The degree centrality for a node v is the fraction of nodes it\n is connected to.\n\n Parameters\n ----------\n G : graph\n A networkx graph\n\n Returns\n -------\n nodes : dictionary\n Dictionary of nodes with degree cent... | 34 | Python | 26 | b8d1438e4ea3d8190c650110b3b7d7c141224842 | degree_alg.py | 176,972 | 6 | 61 | degree_centrality | https://github.com/networkx/networkx.git | added examples to degree_alg.py (#5644)
* added example on degree centrality
* added example on in degree centrality
* added example on out degree centrality
* added opening braces | 55 | 1 | 42,200 | 11 |
2 | 6 | def get_registered_name(obj):
if obj in _GLOBAL_CUSTOM_NAMES:
return _GLOBAL_CUSTOM_NAMES[obj]
else:
return obj.__name__
@tf_contextlib.contextmanager | keras/utils/generic_utils.py | 45 | @tf_contextlib.contextmanager | keras | {
"docstring": "Returns the name registered to an object within the Keras framework.\n\n This function is part of the Keras serialization and deserialization\n framework. It maps objects to the string names associated with those objects\n for serialization/deserialization.\n\n Args:\n obj: The object... | 12 | Python | 11 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | generic_utils.py | 276,868 | 5 | 22 | get_registered_name | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 34 | 1 | 81,767 | 9 |
3 | 8 | async def notify_clients(cls) -> None:
while not cls.STOP:
await asyncio.sleep(cls.UPDATE_INTERVALS)
if cls.EVENT_QUEUE:
await cls.broadcast_estimations()
| gradio/event_queue.py | 61 | gradio | {
"docstring": "\n Notify clients about events statuses in the queue periodically.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | 14 | Python | 13 | b1dfc9a172440e9c9736566f326ba339ff559604 | event_queue.py | 180,689 | 8 | 34 | notify_clients | https://github.com/gradio-app/gradio.git | Release new queue beta (#1969)
* queue-refactor-backend (#1489)
* queue-refactor-backend
- create a template for the new design
* queue-refactor-backend
- clean after the old queue
* queue-refactor-backend
- add basic test to websocket endpoint
* queue-refactor-backend
- small fix
* queue-re... | 65 | 0 | 43,215 | 12 | |
3 | 10 | def scan_with_get_slave_id(self):
# type: () -> List[XCPScannerResult]
log_automotive.info("Start scan with GetSlaveId id in range: " + str(
self.id_range))
for identifier in self.id_range:
ids = self._send_get_slave_id(identifier)
if len(ids) > 0:
... | scapy/contrib/automotive/xcp/scanner.py | 81 | scapy | {
"docstring": "Starts the scan for XCP devices on CAN with the transport specific\n GetSlaveId Message",
"language": "en",
"n_whitespaces": 20,
"n_words": 14,
"vocab_size": 13
} | 33 | Python | 30 | 495b21f2867e48286767085c8cf2918e4092e9dc | scanner.py | 209,602 | 8 | 47 | scan_with_get_slave_id | https://github.com/secdev/scapy.git | Add Automotive Logger for all debug outputs of the automotive layer | 116 | 0 | 52,744 | 11 | |
7 | 17 | def all_view_models() -> List[Path]:
file_list = []
all_files = os.walk(base_path)
for root, _, files in all_files:
for filename in files:
if filename.endswith(".py"):
if "view" in filename or "model" in filename:
file_list.append(f"{root}/{filen... | openbb_terminal/core/scripts/sdk_audit.py | 137 | OpenBBTerminal | {
"docstring": "Geta all files with 'view' or 'model' in the name.\n\n Returns:\n ----------\n List[Path]\n All paths in openbb_terminal with 'view' or 'model' in the name\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 24,
"vocab_size": 17
} | 40 | Python | 30 | 963ca9b2b924d0514e0e65243dc8d9d7af023ad1 | sdk_audit.py | 286,656 | 17 | 77 | all_view_models | https://github.com/OpenBB-finance/OpenBBTerminal.git | Audit SDK and View/Model functions (#3384)
* Initial commit
* Finalized functionality
* update script
* Allow using it without forecasting
* Update gitignore
* Update `sdk_audit.py`
* Fixed issues, found more
* Added fix for helper functions, and column for SDK type
* Checked one more thing
... | 110 | 0 | 85,961 | 17 | |
7 | 55 | def _get_textdoc(self, index):
assert self._opt is not None
# FIXME we probably should do eliding here. See
# qcommonstyle.cpp:viewItemDrawText
# https://github.com/qutebrowser/qutebrowser/issues/118
text_option = QTextOption()
if self._opt.features & QStyleOptio... | qutebrowser/completion/completiondelegate.py | 469 | qutebrowser | {
"docstring": "Create the QTextDocument of an item.\n\n Args:\n index: The QModelIndex of the item to draw.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 15,
"vocab_size": 13
} | 90 | Python | 68 | a20bb67a878b2e68abf8268c1b0a27f018d01352 | completiondelegate.py | 320,770 | 33 | 292 | _get_textdoc | https://github.com/qutebrowser/qutebrowser.git | mypy: Upgrade to PyQt5-stubs 5.15.6.0
For some unknown reason, those new stubs cause a *lot* of things now to be
checked by mypy which formerly probably got skipped due to Any being implied
somewhere.
The stubs themselves mainly improved, with a couple of regressions too.
In total, there were some 337 (!) new mypy e... | 466 | 0 | 117,338 | 19 | |
1 | 4 | def role(self) -> 'PeaRoleType':
return self.args.pea_role
| jina/peapods/peas/__init__.py | 27 | jina | {
"docstring": "Get the role of this pea in a pod\n .. #noqa: DAR201",
"language": "en",
"n_whitespaces": 18,
"n_words": 12,
"vocab_size": 12
} | 6 | Python | 6 | 933415bfa1f9eb89f935037014dfed816eb9815d | __init__.py | 9,851 | 4 | 14 | role | https://github.com/jina-ai/jina.git | 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 ... | 20 | 0 | 1,730 | 7 | |
1 | 7 | 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)
| python/ray/actor.py | 46 | ray | {
"docstring": "This code path is used by pickling but not by Ray forking.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | 27 | Python | 24 | f084546d41f0533c1e9e96a7249532d0eb4ff47d | actor.py | 126,889 | 3 | 27 | __reduce__ | https://github.com/ray-project/ray.git | 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> | 62 | 0 | 28,292 | 8 | |
11 | 20 | def validate_parameter_constraints(parameter_constraints, params, caller_name):
if len(set(parameter_constraints) - set(params)) != 0:
raise ValueError(
f"The parameter constraints {list(parameter_constraints)}"
" contain unexpected parameters"
f" {set(parameter_cons... | sklearn/utils/_param_validation.py | 330 | scikit-learn | {
"docstring": "Validate types and values of given parameters.\n\n Parameters\n ----------\n parameter_constraints : dict or {\"no_validation\"}\n If \"no_validation\", validation is skipped for this parameter.\n\n If a dict, it must be a dictionary `param_name: list of constraints`.\n A... | 181 | Python | 117 | 91f02270a8f49e3e52882dc0fa634eff4d138fc8 | _param_validation.py | 260,513 | 32 | 137 | validate_parameter_constraints | https://github.com/scikit-learn/scikit-learn.git | MAINT Add one-sided set differences for clarity in param validation (#23772)
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 590 | 0 | 76,307 | 25 | |
4 | 10 | def from_bytes(b):
if len(b) == 4:
seconds = struct.unpack("!L", b)[0]
nanoseconds = 0
elif len(b) == 8:
data64 = struct.unpack("!Q", b)[0]
seconds = data64 & 0x00000003FFFFFFFF
nanoseconds = data64 >> 34
elif len(b) == 12:
... | .venv/lib/python3.8/site-packages/pip/_vendor/msgpack/ext.py | 159 | transferlearning | {
"docstring": "Unpack bytes into a `Timestamp` object.\n\n Used for pure-Python msgpack unpacking.\n\n :param b: Payload from msgpack ext message with code -1\n :type b: bytes\n\n :returns: Timestamp object unpacked from msgpack ext payload\n :rtype: Timestamp\n ",
"langua... | 60 | Python | 44 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | ext.py | 62,784 | 15 | 96 | from_bytes | https://github.com/jindongwang/transferlearning.git | upd; format | 205 | 0 | 13,038 | 13 | |
2 | 9 | def do_patch() -> None:
from synapse.logging.context import current_context
global _already_patched
orig_inline_callbacks = defer.inlineCallbacks
if _already_patched:
return
| synapse/util/patch_inline_callbacks.py | 44 | synapse | {
"docstring": "\n Patch defer.inlineCallbacks so that it checks the state of the logcontext on exit\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 13,
"vocab_size": 12
} | 16 | Python | 16 | fa0eab9c8e159b698a31fc7cfaafed643f47e284 | patch_inline_callbacks.py | 248,214 | 12 | 36 | do_patch | https://github.com/matrix-org/synapse.git | Use `ParamSpec` in a few places (#12667) | 38 | 0 | 72,158 | 7 | |
3 | 11 | def __rsub__(self, other):
if isinstance(other, str_type):
other = self._literalStringClass(other)
if not isinstance(other, ParserElement):
raise TypeError(
"Cannot combine element of type {} with ParserElement".format(
type(other).__n... | pipenv/patched/notpip/_vendor/pyparsing/core.py | 86 | pipenv | {
"docstring": "\n Implementation of ``-`` operator when left operand is not a :class:`ParserElement`\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 11,
"vocab_size": 11
} | 30 | Python | 26 | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | core.py | 20,553 | 10 | 52 | __rsub__ | https://github.com/pypa/pipenv.git | 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... | 140 | 0 | 3,422 | 14 | |
8 | 32 | def _get_categorical_mapping(self, scale, data):
levels = categorical_order(data, scale.order)
n = len(levels)
values = scale.values
if isinstance(values, dict):
self._check_dict_entries(levels, values)
# TODO where to ensure that dict values have consis... | seaborn/_core/properties.py | 311 | seaborn | {
"docstring": "Define mapping as lookup in list of discrete color values.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 124 | Python | 89 | a07ef69882ed76e09a0ed43d6f3ea33780c1b2be | properties.py | 41,391 | 28 | 184 | _get_categorical_mapping | https://github.com/mwaskom/seaborn.git | Transition mappings->properties, leaving a few loose ends | 415 | 0 | 7,413 | 17 | |
1 | 59 | def generate_random_string():
import random
import string
return "".join(random.choices(string.ascii_uppercase + string.digits, k=8))
random_string = generate_random_string()
# [START create_queue]
create_queue = CloudTasksQueueCreateOperator(
location=LOCATION,
... | tests/system/providers/google/tasks/example_queue.py | 517 | airflow | {
"docstring": "\n Generate random string for queue and task names.\n Queue name cannot be repeated in preceding 7 days and\n task name in the last 1 hour.\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 25,
"vocab_size": 21
} | 221 | Python | 115 | 3977e1798d8294ba628b5f330f43702c1a5c79fc | example_queue.py | 48,117 | 4 | 31 | generate_random_string | https://github.com/apache/airflow.git | CloudTasks assets & system tests migration (AIP-47) (#23282) | 636 | 0 | 9,364 | 13 | |
1 | 3 | def test_resource_requirements_none(mock_get_all_node_ids, mock_deployment_state):
| python/ray/serve/tests/test_deployment_state.py | 15 | ray | {
"docstring": "Ensure resource_requirements doesn't break if a requirement is None",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 3 | Python | 3 | 65d0c0aa48be8f9f7faae857d3ab71444997755a | test_deployment_state.py | 128,270 | 7 | 52 | test_resource_requirements_none | https://github.com/ray-project/ray.git | [Serve] add alpha gRPC support (#28175) | 6 | 0 | 28,652 | 6 | |
1 | 41 | def host_local_array_to_global_array(local_inputs, global_mesh, pspecs):
def _convert(arr, pspec):
if isinstance(arr, array.ArrayImpl) and isinstance(arr.sharding, PmapSharding):
arr = np.array(arr)
local_sharding = MeshPspecSharding(global_mesh.local_mesh, pspec)
arrays = [
device_put(ar... | jax/experimental/pjit.py | 262 | jax | {
"docstring": "Converts a host local value to a globally sharded `jax.Array`.\n\n You can use this function to transition to `jax.Array`. Using `jax.Array` with\n `pjit` has the same semantics of using GDA with pjit i.e. all `jax.Array`\n inputs to pjit should be globally shaped.\n\n If you are currently passing... | 63 | Python | 55 | 4da72cf3988b4918f65b1401e46c40b7c4504963 | pjit.py | 122,219 | 7 | 54 | host_local_array_to_global_array | https://github.com/google/jax.git | Add `host_local_array_to_global_array` and `global_array_to_host_local_array` for enabling transition to jax.Array.
Also support `FROM_GDA` for `jax.Array` as a backwards compatible change so that users can continue to use that until they transition to jax.Array. Its currently required because of usage like `in_axis_r... | 151 | 0 | 27,124 | 15 | |
1 | 5 | def telemetry_write_key() -> Optional[Text]:
return _fetch_write_key("segment", TELEMETRY_WRITE_KEY_ENVIRONMENT_VARIABLE)
| rasa/telemetry.py | 31 | rasa | {
"docstring": "Read the Segment write key from the segment key text file.\n\n The segment key text file should by present only in wheel/sdist packaged\n versions of Rasa Open Source. This avoids running telemetry locally when\n developing on Rasa or when running CI builds.\n\n In local development, this ... | 7 | Python | 7 | 6339856514897056716bb531acb8489c9cf05d26 | telemetry.py | 159,329 | 13 | 17 | telemetry_write_key | https://github.com/RasaHQ/rasa.git | Add support for different recipes (#10641)
* Add support for different recipes
Fixes https://github.com/RasaHQ/rasa/issues/10473
* Update docs/docs/graph-recipe.mdx
Co-authored-by: Joe Juzl <joejuzl@gmail.com> | 13 | 0 | 38,201 | 8 | |
5 | 33 | def testClusterAutoscaling(self):
self.cluster.update_config(
{
"provider": {"head_resources": {"CPU": 4, "GPU": 0}},
}
)
self.cluster.start()
self.cluster.connect(client=True, timeout=120)
self.assertGreater(ray.cluster_resources... | python/ray/tune/tests/test_multinode_sync.py | 513 | ray | {
"docstring": "Sanity check that multinode tests with autoscaling are working",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 126 | Python | 90 | 57cdbb1769a9c32972ba0ec9e7e857eeea961869 | test_multinode_sync.py | 127,553 | 42 | 300 | testClusterAutoscaling | https://github.com/ray-project/ray.git | Migrate the deprecated placement_group option to PlacementGroupSchedulingStrategy (#28437)
placement_group option is deprecated, use PlacementGroupSchedulingStrategy instead. | 579 | 0 | 28,467 | 17 | |
10 | 19 | def _from_module(self, module, object):
if module is None:
return True
elif inspect.getmodule(object) is not None:
return module is inspect.getmodule(object)
elif inspect.isfunction(object):
return module.__dict__ is object.__globals__
elif in... | python3.10.4/Lib/doctest.py | 242 | XX-Net | {
"docstring": "\n Return true if the given object is defined in the given\n module.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 12,
"vocab_size": 10
} | 88 | Python | 47 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | doctest.py | 223,483 | 23 | 148 | _from_module | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 317 | 0 | 56,928 | 13 | |
2 | 4 | def add_prefix(self, field_name):
return "%s-%s" % (self.prefix, field_name) if self.prefix else field_name
| django/forms/forms.py | 39 | django | {
"docstring": "\n Return the field name with a prefix appended, if this Form has a\n prefix set.\n\n Subclasses may wish to override.\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 20,
"vocab_size": 18
} | 12 | Python | 12 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | forms.py | 205,963 | 2 | 24 | add_prefix | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 26 | 0 | 51,300 | 9 | |
3 | 10 | def arc_tangent(value, default=_SENTINEL):
try:
return math.atan(float(value))
except (ValueError, TypeError):
if default is _SENTINEL:
raise_no_default("atan", value)
return default
| homeassistant/helpers/template.py | 70 | core | {
"docstring": "Filter and function to get arc tangent of the value.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 17 | Python | 15 | 4885331509eeffe50f42d76b234996467b06170f | template.py | 300,618 | 7 | 42 | arc_tangent | https://github.com/home-assistant/core.git | Fail template functions when no default specified (#71687) | 58 | 0 | 99,478 | 13 | |
1 | 3 | def master_target(self):
return self._master_target
| keras/distribute/distribute_coordinator_utils.py | 19 | keras | {
"docstring": "Returns the session master for the corresponding task to connect to.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | 4 | Python | 4 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | distribute_coordinator_utils.py | 270,214 | 2 | 10 | master_target | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 18 | 0 | 80,417 | 6 | |
1 | 5 | def new(key, msg=None, digestmod=''):
return HMAC(key, msg, digestmod)
| python3.10.4/Lib/hmac.py | 37 | XX-Net | {
"docstring": "Create a new hashing object and return it.\n\n key: bytes or buffer, The starting key for the hash.\n msg: bytes or buffer, Initial input for the hash, or None.\n digestmod: A hash name suitable for hashlib.new(). *OR*\n A hashlib constructor returning a new hash object. *OR*\n ... | 8 | Python | 8 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | hmac.py | 217,657 | 2 | 23 | new | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 14 | 0 | 54,872 | 7 | |
1 | 23 | def test_websocket_connect(self):
with patch(
"streamlit.server.server.LocalSourcesWatcher"
), self._patch_app_session():
yield self.start_server_loop()
self.assertFalse(self.server.browser_is_connected)
# Open a websocket connection
... | lib/tests/streamlit/server_test.py | 224 | streamlit | {
"docstring": "Test that we can connect to the server via websocket.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 54 | Python | 42 | 704eab3478cf69847825b23dabf15813a8ac9fa2 | server_test.py | 118,640 | 15 | 132 | test_websocket_connect | https://github.com/streamlit/streamlit.git | Rename and refactor `Report` machinery (#4141)
This refactor renames (almost) everything related to the outdated "report" concept with more precise concepts that we use throughout our code, primarily "script run", "session", and "app". | 262 | 0 | 26,342 | 15 | |
5 | 36 | def call_find(self, other_args):
parser = argparse.ArgumentParser(
prog="find",
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description=,
)
parser.add_argument(
"-c",
"--coin",
... | openbb_terminal/cryptocurrency/crypto_controller.py | 406 | OpenBBTerminal | {
"docstring": "Process find command\n Find similar coin by name, symbol, or id. If you don't remember exact name or id of the Coin at CoinGecko,\n Binance, Coinbase or CoinPaprika you can use this command to display coins with similar name, symbol or id\n to your search query.\n ... | 114 | Python | 90 | 09f753da1c2a2f03c41fe6a3ca2eb79f6ea58995 | crypto_controller.py | 286,398 | 82 | 257 | call_find | https://github.com/OpenBB-finance/OpenBBTerminal.git | More Fixes to Crypto + key sort (#3244)
* fix #3095 - autocomplete and command working + key sort
* fix #3056
* fix [Bug] bugs #3048
* fix [Bug] bug #3017
* sort -> sortby, not ascend, tests
* fix my goof ups
Co-authored-by: james <jmaslek11@gmail.com> | 880 | 0 | 85,785 | 14 | |
9 | 26 | def load_file(file_location=None):
if str(file_location).endswith(".ini"):
params = configparser.RawConfigParser()
params.read(file_location)
params.optionxform = str # type: ignore
params = params["OPENBB"]
if "technique" in params:
current_model = params[... | openbb_terminal/portfolio/portfolio_optimization/parameters/params_view.py | 363 | OpenBBTerminal | {
"docstring": "\n Loads in the configuration file and return the parameters in a dictionary including the model if available.\n\n Parameters\n ----------\n file_location: str\n The location of the file to be loaded in either xlsx or ini.\n\n Returns\n -------\n Return the parameters and t... | 116 | Python | 70 | 34bc290dded1bd2418fc3c6b375a79f9cdd68d5a | params_view.py | 284,352 | 30 | 176 | load_file | https://github.com/OpenBB-finance/OpenBBTerminal.git | New portfolio optimization menu (#1642)
* New-Portfolio-Optimization-Menu
* New-Portfolio-Optimization-Menu
* New-Portfolio-Optimization-Menu
* Update _index.md
* New-Portfolio-Optimization-Menu
* New-Portfolio-Optimization-Menu
* configure portfolio optimization parameters ini
* minor improvement... | 325 | 0 | 84,704 | 19 | |
1 | 2 | def showticklabels(self):
return self["showticklabels"]
| packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py | 22 | plotly.py | {
"docstring": "\n Determines whether or not the tick labels are drawn.\n\n The 'showticklabels' property must be specified as a bool\n (either True, or False)\n\n Returns\n -------\n bool\n ",
"language": "en",
"n_whitespaces": 75,
"n_words": 25,
"vocab_size":... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _colorbar.py | 228,743 | 2 | 11 | showticklabels | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 60,416 | 7 | |
1 | 3 | def get_trial_id() -> str:
return _trial_id
| nni/trial.py | 18 | nni | {
"docstring": "\n Return unique ID of the trial that is current running.\n\n This is shown as \"ID\" in the web portal's trial table.\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 21,
"vocab_size": 18
} | 6 | Python | 6 | 553e91f4205b286ce7d71142f517c010bbcefac7 | trial.py | 112,010 | 7 | 9 | get_trial_id | https://github.com/microsoft/nni.git | Update trial and experiment docstr (#4672) | 12 | 0 | 24,548 | 6 | |
35 | 61 | def make_stock_entry(**args):
def process_serial_numbers(serial_nos_list):
serial_nos_list = [
"\n".join(serial_num["serial_no"] for serial_num in serial_nos_list if serial_num.serial_no)
]
uniques = list(set(serial_nos_list[0].split("\n")))
return "\n".join(uniques)
s = frappe.new_doc("Stock Entry")... | erpnext/stock/doctype/stock_entry/stock_entry_utils.py | 1,040 | erpnext | {
"docstring": "Helper function to make a Stock Entry\n\n\t:item_code: Item to be moved\n\t:qty: Qty to be moved\n\t:company: Company Name (optional)\n\t:from_warehouse: Optional\n\t:to_warehouse: Optional\n\t:rate: Optional\n\t:serial_no: Optional\n\t:batch_no: Optional\n\t:posting_date: Optional\n\t:posting_time: O... | 280 | Python | 164 | 494bd9ef78313436f0424b918f200dab8fc7c20b | stock_entry_utils.py | 67,763 | 84 | 574 | make_stock_entry | https://github.com/frappe/erpnext.git | style: format code with black | 186 | 0 | 14,615 | 15 | |
3 | 11 | def get_one_match(expr, lines):
# member names in the ld_headers output are between square brackets
expr = rf'\[({expr})\]'
matches = list(filter(None, (re.search(expr, line) for line in lines)))
if len(matches) == 1:
return matches[0].group(1)
else:
return None
# additional pr... | python3.10.4/Lib/ctypes/_aix.py | 98 | XX-Net | {
"docstring": "\n Must be only one match, otherwise result is None.\n When there is a match, strip leading \"[\" and trailing \"]\"\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 20,
"vocab_size": 18
} | 47 | Python | 41 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | _aix.py | 221,800 | 7 | 58 | get_one_match | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 78 | 0 | 56,517 | 13 | |
1 | 11 | def test_config_validation_for_choices_workaround(business_client, project_id):
payload = {
'label_config': '<View><Text name="artist" /><View><Choices name="choices_1" toName="artist"><Choice name="choice_1" value="1"/></Choices></View><View><Choices name="choices_2" toName="artist"><Choice name="choi... | label_studio/tests/test_config_validation.py | 143 | label-studio | {
"docstring": "\n Validate Choices tag for 1 choice with workaround\n Example bug DEV-3635\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 11,
"vocab_size": 11
} | 55 | Python | 28 | e3c87a8a709006f9064b8c32782fbd5461bd0d1d | test_config_validation.py | 178,285 | 17 | 80 | test_config_validation_for_choices_workaround | https://github.com/heartexlabs/label-studio.git | fix: DEV-4035: Fix single choice workaround for several choices tags (#3319)
* fix: DEV-3635: Fix single choice workaround for several choices tags | 138 | 0 | 42,647 | 11 | |
3 | 23 | def get_count(self, dttm_filter, session, states) -> int:
TI = TaskInstance
DR = DagRun
if not dttm_filter:
return 0
if self.external_task_ids:
count = (
session.query(func.count()) # .count() is inefficient
.filter(
... | airflow/sensors/external_task.py | 238 | airflow | {
"docstring": "\n Get the count of records against dttm filter and states\n\n :param dttm_filter: date time filter for execution date\n :param session: airflow session object\n :param states: task or dag states\n :return: count of record against the filters\n ",
"language"... | 59 | Python | 40 | baf50cddd86ac07f064c8cbd95efb22d038b3832 | external_task.py | 44,412 | 36 | 152 | get_count | https://github.com/apache/airflow.git | Fix tests for mssql after SQLA 1.4 upgrade (#21303)
The way SQLA 1.4 constructed the query then `exeuction_date.in_([])`
changed, and as a result it started failing.
But we don't even need to ask the database in this case, as we know it
won't return any rows. | 428 | 0 | 8,251 | 18 | |
1 | 27 | async def test_boost_mode(hass, aioclient_mock, mock_deconz_websocket):
data = {
"sensors": {
"0": {
"config": {
"battery": 58,
"heatsetpoint": 2200,
"locked": False,
"mode": "heat",
... | tests/components/deconz/test_climate.py | 549 | core | {
"docstring": "Test that a climate device with boost mode and different state works.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | 151 | Python | 112 | 7a6897c7578dffd6b67f57747ebd81b67b153e01 | test_climate.py | 308,133 | 58 | 297 | test_boost_mode | https://github.com/home-assistant/core.git | Add deconz current hvac operation to thermostate based on "state" (#59989)
* deconz - add current hvac operation to thermostate based on "state"
* deconz - extend current hvac operation to thermostate based on "state" and "mode"
* Add tests for current hvac action
* Add boost mode as special case
* format ... | 811 | 0 | 106,894 | 15 | |
1 | 9 | def exp_var(self):
var1 = self.y_pred_true.selectExpr("variance(label - prediction)").collect()[0][
0
]
var2 = self.y_pred_true.selectExpr("variance(label)").collect()[0][0]
# numpy divide is more tolerant to var2 being zero
return 1 - np.divide(var1, var2)
| recommenders/evaluation/spark_evaluation.py | 96 | recommenders | {
"docstring": "Calculate explained variance.\n\n .. note::\n Spark MLLib's implementation is buggy (can lead to values > 1), hence we use var().\n\n Returns:\n float: Explained variance (min=0, max=1).\n ",
"language": "en",
"n_whitespaces": 68,
"n_words": 26,
"vocab... | 27 | Python | 24 | 4637482026d2afc5dd93e1fdce6a3c9285427062 | spark_evaluation.py | 39,311 | 6 | 57 | exp_var | https://github.com/microsoft/recommenders.git | use numpy divide in explained variance | 80 | 0 | 7,208 | 13 | |
1 | 11 | def center_to_corners_format(x):
x_center, y_center, width, height = x.unbind(-1)
boxes = [(x_center - 0.5 * width), (y_center - 0.5 * height), (x_center + 0.5 * width), (y_center + 0.5 * height)]
return torch.stack(boxes, dim=-1)
| src/transformers/models/owlvit/feature_extraction_owlvit.py | 103 | transformers | {
"docstring": "\n Converts a PyTorch tensor of bounding boxes of center format (center_x, center_y, width, height) to corners format\n (left, top, right, bottom).\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 21,
"vocab_size": 19
} | 33 | Python | 22 | 12d66b47012c9258f9557e6d3a0c13bcd1c72871 | feature_extraction_owlvit.py | 32,353 | 4 | 76 | center_to_corners_format | https://github.com/huggingface/transformers.git | Add OWL-ViT model for zero-shot object detection (#17938)
* add owlvit model skeleton
* add class and box predictor heads
* convert modified flax clip to pytorch
* fix box and class predictors
* add OwlViTImageTextEmbedder
* convert class and box head checkpoints
* convert image text embedder checkpo... | 45 | 0 | 5,912 | 10 | |
5 | 32 | def _sort_key(self, candidate):
# type: (InstallationCandidate) -> CandidateSortingKey
valid_tags = self._supported_tags
support_num = len(valid_tags)
build_tag = () # type: BuildTag
binary_preference = 0
link = candidate.link
if link.is_wheel:
... | .venv/lib/python3.8/site-packages/pip/_internal/index/package_finder.py | 289 | transferlearning | {
"docstring": "\n Function to pass as the `key` argument to a call to sorted() to sort\n InstallationCandidates by preference.\n\n Returns a tuple such that tuples sorting as greater using Python's\n default comparison operator are more preferred.\n\n The preference is as follows:\... | 109 | Python | 79 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | package_finder.py | 60,747 | 31 | 178 | _sort_key | https://github.com/jindongwang/transferlearning.git | upd; format | 479 | 0 | 12,274 | 16 | |
1 | 4 | def extract(self) -> str:
return self._src.extract()
| pipenv/vendor/tomlkit/parser.py | 29 | pipenv | {
"docstring": "\n Extracts the value between marker and index\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 7,
"vocab_size": 7
} | 6 | Python | 6 | 8faa74cdc9da20cfdcc69f5ec29b91112c95b4c9 | parser.py | 21,815 | 5 | 16 | extract | https://github.com/pypa/pipenv.git | Update tomlkit==0.9.2
Used:
python -m invoke vendoring.update --package=tomlkit | 20 | 0 | 4,057 | 8 | |
1 | 10 | def cumsum(x, axis=0):
return tf.cumsum(x, axis=axis)
@keras_export("keras.backend.cumprod")
@tf.__internal__.dispatch.add_dispatch_support
@doc_controls.do_not_generate_docs | keras/backend.py | 63 | @keras_export("keras.backend.cumprod")
@tf.__internal__.dispatch.add_dispatch_support
@doc_controls.do_not_generate_docs | keras | {
"docstring": "Cumulative sum of the values in a tensor, alongside the specified axis.\n\n Args:\n x: A tensor or variable.\n axis: An integer, the axis to compute the sum.\n\n Returns:\n A tensor of the cumulative sum of values of `x` along `axis`.\n ",
"language": "en",
"n_whitesp... | 9 | Python | 9 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | backend.py | 269,599 | 2 | 21 | cumsum | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 12 | 1 | 80,220 | 8 |
3 | 11 | def is_done(self, best_sum_logprobs, cur_len):
if len(self) < self.num_beams:
return False
elif self.early_stopping:
return True
else:
cur_score = best_sum_logprobs / cur_len**self.length_penalty
ret = self.worst_score >= cur_score
... | src/transformers/generation_tf_utils.py | 79 | transformers | {
"docstring": "\n If there are enough hypotheses and that none of the hypotheses being generated can become better than the worst\n one in the heap, then we are done with this sentence.\n ",
"language": "en",
"n_whitespaces": 52,
"n_words": 30,
"vocab_size": 26
} | 27 | Python | 22 | 7732d0fe7a759c9844215920e9f1c5540eafb1a6 | generation_tf_utils.py | 35,036 | 9 | 49 | is_done | https://github.com/huggingface/transformers.git | Upgrade black to version ~=22.0 (#15565)
* Upgrade black to version ~=22.0
* Check copies
* Fix code | 110 | 0 | 6,381 | 12 | |
1 | 13 | def test_dataset_shard_with_only_local(self):
config = {
"input": "dataset",
"input_config": {"format": "json", "paths": self.dset_path},
}
# two ways of doing this:
# we have no remote workers
_, shards = get_dataset_and_shards(config, num_work... | rllib/offline/tests/test_dataset_reader.py | 107 | ray | {
"docstring": "Tests whether the dataset_shard function works correctly for a single shard\n for the local worker.",
"language": "en",
"n_whitespaces": 21,
"n_words": 15,
"vocab_size": 13
} | 37 | Python | 34 | 569fe0109629048d08e1d9e023f7769f10bd2244 | test_dataset_reader.py | 125,001 | 8 | 61 | test_dataset_shard_with_only_local | https://github.com/ray-project/ray.git | [RLlib] improved unittests for dataset_reader and fixed bugs (#26458) | 115 | 0 | 27,741 | 11 | |
1 | 4 | def for_all_test_methods(decorator, *args, **kwargs):
| keras/testing_infra/test_utils.py | 21 | keras | {
"docstring": "Generate class-level decorator from given method-level decorator.\n\n It is expected for the given decorator to take some arguments and return\n a method that is then called on the test method to produce a decorated\n method.\n\n Args:\n decorator: The decorator to apply.\n *args... | 4 | Python | 4 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | test_utils.py | 276,383 | 3 | 16 | for_all_test_methods | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 7 | 0 | 81,645 | 6 | |
1 | 10 | def get_theme_dir(name):
theme = get_themes()[name]
return os.path.dirname(os.path.abspath(theme.load().__file__))
| mkdocs/utils/__init__.py | 61 | mkdocs | {
"docstring": "Return the directory of an installed theme by name.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 7 | Python | 7 | e7f07cc82ab2be920ab426ba07456d8b2592714d | __init__.py | 224,062 | 3 | 36 | get_theme_dir | https://github.com/mkdocs/mkdocs.git | Remove spaces at the ends of docstrings, normalize quotes | 16 | 0 | 57,209 | 12 | |
1 | 16 | def test_cache() -> None:
ledger_store = DictLedgerStore()
user_key = b"1322"
ledger = DataSubjectLedger.get_or_create(store=ledger_store, user_key=user_key)
assert (
ledger._cache_constant2epsilon[0] == 0.05372712063485988
), "The first value in the cache is incorrect"
assert (
... | packages/syft/tests/syft/core/adp/data_subject_ledger_test.py | 211 | PySyft | {
"docstring": "Ensure the most up to date RDP-to-epsilon cache is being used.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | 81 | Python | 43 | 61f4138eeb028287425f6007d692bf7faa808e75 | data_subject_ledger_test.py | 3,245 | 22 | 139 | test_cache | https://github.com/OpenMined/PySyft.git | Add tests for ledger and cache | 164 | 0 | 413 | 11 | |
4 | 17 | 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.
... | keras/layers/attention/base_dense_attention.py | 153 | keras | {
"docstring": "Applies attention scores to the given value tensor.\n\n To use this method in your attention layer, follow the steps:\n\n * Use `query` tensor of shape `[batch_size, Tq]` and `key` tensor of shape\n `[batch_size, Tv]` to calculate the attention `scores`.\n * Pass `scores`... | 60 | Python | 44 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | base_dense_attention.py | 272,375 | 15 | 133 | _apply_scores | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 184 | 0 | 81,002 | 16 | |
1 | 3 | def drain_call_queue(self, num_splits=None):
| modin/core/execution/ray/implementations/pandas_on_ray/partitioning/virtual_partition.py | 18 | modin | {
"docstring": "\n Execute all operations stored in this partition's call queue.\n\n Parameters\n ----------\n num_splits : int, default: None\n The number of times to split the result object.\n ",
"language": "en",
"n_whitespaces": 72,
"n_words": 25,
"vocab_size"... | 3 | Python | 3 | 3d4404e9d9a9b2a3327f8aee664a8e71ac1f18b8 | virtual_partition.py | 153,772 | 7 | 40 | drain_call_queue | https://github.com/modin-project/modin.git | FEAT-#4412: Add Batch Pipeline API to Modin (#4452)
Co-authored-by: Yaroslav Igoshev <Poolliver868@mail.ru>
Co-authored-by: Mahesh Vashishtha <mvashishtha@users.noreply.github.com>
Signed-off-by: Rehan Durrani <rehan@ponder.io> | 10 | 0 | 35,596 | 6 | |
3 | 14 | def has_completed_sso(request, organization_id) -> bool:
sso_session_in_request = request.session.get(
SsoSession.django_session_key(organization_id), None
)
if not sso_session_in_request:
metrics.incr("sso.no-value-in-session")
return False
django_session_value = SsoSessi... | src/sentry/utils/auth.py | 125 | sentry | {
"docstring": "\n look for the org id under the sso session key, and check that the timestamp isn't past our expiry limit\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 20,
"vocab_size": 18
} | 32 | Python | 24 | 2bad4600970d40bc799143571ab708a19e9774d1 | auth.py | 95,876 | 18 | 73 | has_completed_sso | https://github.com/getsentry/sentry.git | chore(auth): remove deprecated SSO key check (#30889)
* remove deprecated sso values
* clean up checking logic
* update metric name | 101 | 0 | 19,252 | 10 | |
7 | 14 | def process_arguments(self):
args = [arg for arg in sys.argv] # pylint:disable=unnecessary-comprehension
if self.updater:
from lib.utils import get_backend # pylint:disable=import-outside-toplevel
args.append(f"--{get_backend()}")
for arg in args:
... | setup.py | 129 | faceswap | {
"docstring": " Process any cli arguments and dummy in cli arguments if calling from updater. ",
"language": "en",
"n_whitespaces": 14,
"n_words": 13,
"vocab_size": 11
} | 45 | Python | 28 | c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf | setup.py | 100,422 | 12 | 70 | process_arguments | https://github.com/deepfakes/faceswap.git | 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 -... | 175 | 0 | 19,905 | 13 | |
3 | 29 | def _load_icons():
size = get_config().user_config_dict.get("icon_size", 16)
size = int(round(size * get_config().scaling_factor))
icons = {}
pathicons = os.path.join(PATHCACHE, "icons")
for fname in os.listdir(pathicons):
name, ext = os.path.splitext(fname)
... | lib/gui/utils.py | 216 | faceswap | {
"docstring": " Scan the icons cache folder and load the icons into :attr:`icons` for retrieval\n throughout the GUI.\n\n Returns\n -------\n dict:\n The icons formatted as described in :attr:`icons`\n\n ",
"language": "en",
"n_whitespaces": 73,
"n_words": 26,
"v... | 46 | Python | 34 | c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf | utils.py | 100,336 | 14 | 132 | _load_icons | https://github.com/deepfakes/faceswap.git | 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 -... | 172 | 0 | 19,832 | 14 | |
2 | 10 | def run_coroutine_threadsafe(coro, loop):
if not coroutines.iscoroutine(coro):
raise TypeError('A coroutine object is required')
future = concurrent.futures.Future()
| python3.10.4/Lib/asyncio/tasks.py | 55 | XX-Net | {
"docstring": "Submit a coroutine object to a given event loop.\n\n Return a concurrent.futures.Future to access the result.\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 16,
"vocab_size": 13
} | 15 | Python | 15 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | tasks.py | 220,805 | 7 | 41 | run_coroutine_threadsafe | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 31 | 0 | 56,124 | 10 | |
4 | 32 | def find_airflow_sources_root_to_operate_on() -> Path:
installation_airflow_sources = get_installation_airflow_sources()
if installation_airflow_sources is None and not skip_upgrade_check():
console.print(
"\n[red]Breeze should only be installed with -e flag[/]\n\n"
"[bright... | dev/breeze/src/airflow_breeze/utils/path_utils.py | 286 | airflow | {
"docstring": "\n Find the root of airflow sources we operate on. Handle the case when Breeze is installed via `pipx` from\n a different source tree, so it searches upwards of the current directory to find the right root of\n airflow directory we are actually in. This **might** be different than the sources... | 120 | Python | 77 | bca849b4586c7446438f959b62903da4b997b9ea | path_utils.py | 46,871 | 38 | 73 | find_airflow_sources_root_to_operate_on | https://github.com/apache/airflow.git | Switch to `pipx` as the only installation Breeze2 method (#22740)
Switching Breeze2 to only use `pipx` for installation of Breeze2
due to problems it might cause for autocompletion if entrypoint
is not avaiable on PATH. | 211 | 0 | 9,029 | 12 | |
5 | 4 | def process_task(self, task):
# processing tasks so that no arguments are included
# unless it's a fromfile or jsonfile one
if 'fromfile:' in task or 'jsonfile:' in task or 'internal:' in task:
return None if self.ignore_task else task
return task
##############... | parlai/scripts/generate_model_card.py | 60 | ParlAI | {
"docstring": "\n tries to remap tasks to their external version, and then may ignore the tasks\n w/o ext.\n\n version depending on `ignore_task`\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 20,
"vocab_size": 18
} | 47 | Python | 35 | 81f722d29045a7a5841d0931a082ded1d1f13863 | generate_model_card.py | 194,778 | 4 | 31 | process_task | https://github.com/facebookresearch/ParlAI.git | autoformat (#4378) | 102 | 0 | 47,071 | 9 | |
2 | 5 | def should_save(self):
if self.save_on_each_node:
return self.local_process_index == 0
else:
return self.process_index == 0
| paddlenlp/trainer/trainer_args.py | 43 | PaddleNLP | {
"docstring": "\n Whether or not the current process should write to disk, e.g., to save models and checkpoints.\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 16,
"vocab_size": 15
} | 13 | Python | 10 | 44a290e94d1becd1f09fddc3d873f9e19c9d6919 | trainer_args.py | 323,119 | 5 | 25 | should_save | https://github.com/PaddlePaddle/PaddleNLP.git | [Trainer] Add init version of paddlenlp trainer and apply finetune for ernie-1.0 pretraining. (#1761)
* add some datasets for finetune.
* support fine tune for all tastks.
* add trainer prototype.
* init verison for paddlenlp trainer.
* refine trainer.
* update for some details.
* support multi-card... | 56 | 0 | 118,366 | 10 | |
1 | 6 | def get_default_rl_module_class(self) -> Union[Type["RLModule"], str]:
raise NotImplementedError
| rllib/algorithms/algorithm_config.py | 31 | ray | {
"docstring": "Returns the RLModule class to use for this algorithm.\n\n Override this method in the sub-class to return the RLModule class type given\n the input framework.\n\n Returns:\n The RLModule class to use for this algorithm either as a class type or as\n a string ... | 7 | Python | 7 | f9ec2d1ae2e14e1f1ed38d315dfd643f600dc397 | algorithm_config.py | 137,403 | 11 | 18 | get_default_rl_module_class | https://github.com/ray-project/ray.git | [RLlib] Make RLModule initialization easy (#31069)
1. Moved the `_enable_rl_module_api` signature into `rl_module()` api of the algorithmConfig.
2. Added the ability for the user to override the entire RLModule from algorithmConfig by
simply changing the class.
3. updated marl_module: we now have only one MARLModul... | 21 | 0 | 31,158 | 7 | |
1 | 4 | def host(self) -> str:
return self.first_pod_args.host
| jina/orchestrate/deployments/__init__.py | 25 | jina | {
"docstring": "Get the host name of this deployment\n\n\n .. # noqa: DAR201\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 11,
"vocab_size": 11
} | 6 | Python | 6 | 13edc16d806fb5d77a6849551178ccc75937f25f | __init__.py | 10,837 | 7 | 14 | host | https://github.com/jina-ai/jina.git | refactor: rename pod to deployment (#4230)
* refactor: rename pod to deployment
* style: fix overload and cli autocomplete
* fix: undo daemon mistake
* refactor: leftover cleanup
* fix: more test fixes
* fix: more fixes
* fix: more fixes
* fix: more fixes
* fix: more tests
* fix: fix more te... | 20 | 0 | 1,940 | 7 | |
20 | 19 | def select_traces(self, selector=None, row=None, col=None, secondary_y=None):
if not selector and not isinstance(selector, int):
selector = {}
if row is not None or col is not None or secondary_y is not None:
grid_ref = self._validate_get_grid_ref()
filter_b... | packages/python/plotly/plotly/basedatatypes.py | 335 | plotly.py | {
"docstring": "\n Select traces from a particular subplot cell and/or traces\n that satisfy custom selection criteria.\n\n Parameters\n ----------\n selector: dict, function, int, str or None (default None)\n Dict to use as selection criteria.\n Traces will be... | 173 | Python | 78 | 321c77230a794d9f0595038a2674c955889ed0e3 | basedatatypes.py | 241,434 | 30 | 217 | select_traces | https://github.com/plotly/plotly.py.git | Avoid selecting all traces on selector=0 | 614 | 0 | 69,523 | 15 | |
2 | 12 | def _max_values(self) -> np.array:
if self._max_vals_cache is not None:
return self._max_vals_cache
return np.array(list(map(lambda x: x.max_val, self.flat_scalars))).reshape(
self.shape
)
| packages/syft/src/syft/core/tensor/autodp/intermediate_gamma.py | 82 | PySyft | {
"docstring": "WARNING: DO NOT MAKE THIS AVAILABLE TO THE POINTER!!!\n DO NOT ADD THIS METHOD TO THE AST!!!\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 17,
"vocab_size": 12
} | 18 | Python | 16 | f56f2b6fb96017472095a43f7d6b13bb8c21718f | intermediate_gamma.py | 243 | 9 | 51 | _max_values | https://github.com/OpenMined/PySyft.git | reduced reliance on .flat_scalars for __add__ which is very slow | 68 | 0 | 74 | 15 | |
4 | 16 | def integrate(*args, meijerg=None, conds='piecewise', risch=None, heurisch=None, manual=None, **kwargs):
doit_flags = {
'deep': False,
'meijerg': meijerg,
'conds': conds,
'risch': risch,
'heurisch': heurisch,
'manual': manual
}
integral = Integral(*ar... | sympy/integrals/integrals.py | 190 | sympy | {
"docstring": "integrate(f, var, ...)\n\n Explanation\n ===========\n\n Compute definite or indefinite integral of one or more variables\n using Risch-Norman algorithm and table lookup. This procedure is\n able to handle elementary algebraic and transcendental functions\n and also a huge class of s... | 48 | Python | 43 | 1eeb01e15f06c6692a5bfd6fd2d2a3002d864a07 | integrals.py | 196,850 | 16 | 119 | integrate | https://github.com/sympy/sympy.git | Fix a few docstring formatting issues | 144 | 0 | 48,217 | 14 | |
9 | 27 | def get_cluster_status_to_report(gcs_client, num_retries) -> ClusterStatusToReport:
try:
cluster_status = ray._private.utils.internal_kv_get_with_retry(
gcs_client,
ray.ray_constants.DEBUG_AUTOSCALING_STATUS,
namespace=None,
num_retries=num_retries,
... | python/ray/_private/usage/usage_lib.py | 337 | ray | {
"docstring": "Get the current status of this cluster.\n\n It is a blocking API.\n\n Params:\n gcs_client (GCSClient): The GCS client to perform KV operation GET.\n num_retries (int): Max number of times to retry if GET fails.\n\n Returns:\n The current cluster status or empty if it fai... | 110 | Python | 70 | 62a5404369d71a84fdd4da9c4bfd597fce33f2f6 | usage_lib.py | 147,021 | 44 | 195 | get_cluster_status_to_report | https://github.com/ray-project/ray.git | Collect more usage stats data (#23167) | 396 | 0 | 33,835 | 15 | |
1 | 2 | def zoom(self):
return self["zoom"]
| packages/python/plotly/plotly/graph_objs/layout/_mapbox.py | 22 | plotly.py | {
"docstring": "\n Sets the zoom level of the map (mapbox.zoom).\n\n The 'zoom' property is a number and may be specified as:\n - An int or float\n\n Returns\n -------\n int|float\n ",
"language": "en",
"n_whitespaces": 79,
"n_words": 27,
"vocab_size": 26
} | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _mapbox.py | 231,602 | 2 | 11 | zoom | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 63,046 | 7 | |
2 | 14 | def _set_locations(self) -> Dict[str, str]:
default: str = self.loc["root"]
temp: str = os.path.join(self.root, "ports.conf")
if os.path.isfile(temp):
listen = temp
name = temp
else:
listen = default
name = default
return... | certbot-apache/certbot_apache/_internal/parser.py | 130 | certbot | {
"docstring": "Set default location for directives.\n\n Locations are given as file_paths\n .. todo:: Make sure that files are included\n\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 18,
"vocab_size": 17
} | 36 | Python | 26 | 7d9e9a49005de7961e84d2a7c608db57dbab3046 | parser.py | 186,683 | 16 | 77 | _set_locations | https://github.com/certbot/certbot.git | Add typing to certbot.apache (#9071)
* Add typing to certbot.apache
Co-authored-by: Adrien Ferrand <ferrand.ad@gmail.com> | 122 | 0 | 45,590 | 9 | |
2 | 10 | def get_valuation_rate():
item_val_rate_map = {}
for d in frappe.db.sql(
,
as_dict=1,
):
item_val_rate_map.setdefault(d.item_code, d.val_rate)
return item_val_rate_map
| erpnext/stock/report/item_prices/item_prices.py | 66 | erpnext | {
"docstring": "Get an average valuation rate of an item from all warehousesselect item_code,\n\t\tsum(actual_qty*valuation_rate)/sum(actual_qty) as val_rate\n\t\tfrom tabBin where actual_qty > 0 group by item_code",
"language": "en",
"n_whitespaces": 21,
"n_words": 24,
"vocab_size": 22
} | 16 | Python | 15 | 494bd9ef78313436f0424b918f200dab8fc7c20b | item_prices.py | 67,881 | 10 | 40 | get_valuation_rate | https://github.com/frappe/erpnext.git | style: format code with black | 8 | 0 | 14,653 | 10 | |
2 | 2 | def test_order_by(self) -> None:
| tests/rest/admin/test_federation.py | 16 | synapse | {
"docstring": "\n Testing order list with parameter `order_by`\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | 4 | Python | 4 | 3b51c763ba5601e155e3e27a46cddf0370da83eb | test_federation.py | 246,024 | 48 | 645 | test_order_by | https://github.com/matrix-org/synapse.git | Fix get federation status of destination if no error occured (#11593) | 11 | 0 | 70,953 | 6 | |
10 | 21 | def _get_locale_dirs(resources, include_core=True):
contrib_dir = os.path.join(os.getcwd(), "django", "contrib")
dirs = []
# Collect all locale directories
for contrib_name in os.listdir(contrib_dir):
path = os.path.join(contrib_dir, contrib_name, "locale")
if os.path.isdir(path):
... | scripts/manage_translations.py | 315 | django | {
"docstring": "\n Return a tuple (contrib name, absolute path) for all locale directories,\n optionally including the django core catalog.\n If resources list is not None, filter directories matching resources content.\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 28,
"vocab_size": 27
} | 98 | Python | 72 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | manage_translations.py | 206,916 | 21 | 191 | _get_locale_dirs | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 267 | 0 | 51,797 | 16 | |
11 | 27 | def parse_sources(self, cache=False):
parsed = False
# allow for multiple inventory parsing
for source in self._sources:
if source:
if ',' not in source:
source = unfrackpath(source, follow=False)
parse = self.parse_sourc... | lib/ansible/inventory/manager.py | 272 | ansible | {
"docstring": " iterate over inventory sources and parse each one to populate it",
"language": "en",
"n_whitespaces": 11,
"n_words": 11,
"vocab_size": 11
} | 93 | Python | 63 | 5b44035983aba190791df479fa7004ce20872042 | manager.py | 266,994 | 20 | 169 | parse_sources | https://github.com/ansible/ansible.git | Hide "[WARNING]: No inventory was parsed" message (#65499)
* Add config option INVENTORY_UNPARSED_WARNING to hide the warning "No inventory was parsed, only implicit localhost is available" | 339 | 0 | 78,680 | 15 | |
1 | 28 | def test_send_receipts_with_backoff(self):
mock_send_transaction = (
self.hs.get_federation_transport_client().send_transaction
)
mock_send_transaction.return_value = make_awaitable({})
sender = self.hs.get_federation_sender()
receipt = ReadReceipt(
... | tests/federation/test_federation_sender.py | 519 | synapse | {
"docstring": "Send two receipts in quick succession; the second should be flushed, but\n only after 20ms",
"language": "en",
"n_whitespaces": 21,
"n_words": 15,
"vocab_size": 15
} | 119 | Python | 57 | c52abc1cfdd9e5480cdb4a03d626fe61cacc6573 | test_federation_sender.py | 248,389 | 63 | 296 | test_send_receipts_with_backoff | https://github.com/matrix-org/synapse.git | Additional constants for EDU types. (#12884)
Instead of hard-coding strings in many places. | 1,066 | 0 | 72,260 | 21 | |
4 | 10 | def register(self, name, color_list):
if name in self._BUILTIN_COLOR_SEQUENCES:
raise ValueError(f"{name!r} is a reserved name for a builtin "
"color sequence")
color_list = list(color_list) # force copy and coerce type to list
for color in col... | lib/matplotlib/colors.py | 108 | matplotlib | {
"docstring": "\n Register a new color sequence.\n\n The color sequence registry stores a copy of the given *color_list*, so\n that future changes to the original list do not affect the registered\n color sequence. Think of this as the registry taking a snapshot\n of *color_list* a... | 51 | Python | 41 | 0abe0ce2f2748d1d0383154d045da3609a4b871b | colors.py | 108,332 | 12 | 58 | register | https://github.com/matplotlib/matplotlib.git | Add a registry for color sequences
Color sequences are simply lists of colors, that we store by name in
a registry. The registry is modelled similar to the ColormapRegistry
to 1) support immutable builtin color sequences and 2) to return copies
so that one cannot mess with the global definition of the color sequence
t... | 197 | 0 | 23,144 | 14 | |
1 | 6 | def quantize_output(self, output, config, **kwargs):
# Put your code to generate `new_output` here
new_output = ...
return new_output
| docs/source/tutorials/quantization_customize.py | 30 | nni | {
"docstring": "\n quantize should overload this method to quantize output.\n This method is effectively hooked to `:meth:`forward` of the model.\n\n Parameters\n ----------\n output : Tensor\n output that needs to be quantized\n config : dict\n the conf... | 18 | Python | 17 | a16212368718dccf6e3e07f0d9da950a365a3f90 | quantization_customize.py | 111,927 | 3 | 18 | quantize_output | https://github.com/microsoft/nni.git | update customize compressor (#4639) | 46 | 0 | 24,510 | 6 | |
1 | 9 | async def connect(self) -> None:
self.client = WebOsClient(self.host, self.client_key)
with suppress(*WEBOSTV_EXCEPTIONS, WebOsTvPairError):
await self.client.connect()
| homeassistant/components/webostv/__init__.py | 68 | core | {
"docstring": "Attempt a connection, but fail gracefully if tv is off for example.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | 14 | Python | 14 | dee843bf6e5ca84a94f336a239f6a6138c4c28e6 | __init__.py | 309,593 | 5 | 39 | connect | https://github.com/home-assistant/core.git | Add LG webOS Smart TV config flow support (#64117)
* Add webOS Smart TV config flow support (#53256)
* Add Webostv config flow
* Fix tests mocks and apply review comments
* Apply review comments
* Change config flow to use ssdp UDN as unique_id
* Fix device info
* More review comments
* Fix _async... | 46 | 0 | 108,291 | 11 | |
8 | 44 | def _inject_greasemonkey_scripts(self, scripts):
if sip.isdeleted(self._widget):
return
# Since we are inserting scripts into a per-tab collection,
# rather than just injecting scripts on page load, we need to
# make sure we replace existing scripts, not just add ne... | qutebrowser/browser/webengine/webenginetab.py | 453 | qutebrowser | {
"docstring": "Register user JavaScript files with the current tab.\n\n Args:\n scripts: A list of GreasemonkeyScripts.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 14,
"vocab_size": 14
} | 203 | Python | 145 | 0877fb0d78635692e481c8bde224fac5ad0dd430 | webenginetab.py | 321,142 | 38 | 232 | _inject_greasemonkey_scripts | https://github.com/qutebrowser/qutebrowser.git | Run scripts/dev/rewrite_enums.py | 856 | 0 | 117,562 | 19 | |
3 | 15 | def get_heading(self, queryset, field):
heading_override = self.export_headings.get(field)
if heading_override:
return force_str(heading_override)
try:
return force_str(queryset.model._meta.get_field(field).verbose_name.title())
except (AttributeError, Fi... | wagtail/admin/views/mixins.py | 100 | wagtail | {
"docstring": "Get the heading label for a given field for a spreadsheet generated from queryset",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 12
} | 19 | Python | 17 | d10f15e55806c6944827d801cd9c2d53f5da4186 | mixins.py | 72,431 | 8 | 62 | get_heading | https://github.com/wagtail/wagtail.git | Reformat with black | 87 | 0 | 15,894 | 16 | |
8 | 27 | def to_euler(self, seq, angle_addition=True, avoid_square_root=False):
extrinsic = _is_extrinsic(seq)
i, j, k = seq.lower()
# get index corresponding to elementary basis vectors
i = 'xyz'.index(i) + 1
j = 'xyz'.index(j) + 1
k = 'xyz'.index(k) + 1
if not... | sympy/algebras/quaternion.py | 545 | sympy | {
"docstring": "Returns Euler angles representing same rotation as the quaternion,\n in the sequence given by `seq`. This implements the method described\n in [1]_.\n\n Parameters\n ==========\n\n seq : string of length 3\n Represents the sequence of rotations.\n ... | 218 | Python | 105 | c254b28e2ba0f4cdfe9ff6523ffa6e369ab415ce | quaternion.py | 200,702 | 36 | 349 | to_euler | https://github.com/sympy/sympy.git | added two options to to_euler | 557 | 0 | 49,777 | 16 | |
4 | 19 | def _update_class_log_prior(self, class_prior=None):
n_classes = len(self.classes_)
if class_prior is not None:
if len(class_prior) != n_classes:
raise ValueError("Number of priors must match number of classes.")
self.class_log_prior_ = np.log(class_prior... | sklearn/naive_bayes.py | 195 | scikit-learn | {
"docstring": "Update class log priors.\n\n The class log priors are based on `class_prior`, class count or the\n number of classes. This method is called each time `fit` or\n `partial_fit` update the model.\n ",
"language": "en",
"n_whitespaces": 59,
"n_words": 31,
"vocab_size": ... | 69 | Python | 55 | b6bc5599ae063a90c27c9c1fef1940d620b5a206 | naive_bayes.py | 259,009 | 13 | 115 | _update_class_log_prior | https://github.com/scikit-learn/scikit-learn.git | DOC Clarifies comments and docstrings in _BaseDiscreteNB (#22565)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> | 245 | 0 | 75,522 | 15 | |
4 | 15 | def change_member_label(self, label, new_label):
if label not in self._member_labels:
raise ValueError("No such member exists for the Truss")
else:
members_duplicate = self._members.copy()
for member in members_duplicate:
if member[0] == labe... | sympy/physics/continuum_mechanics/truss.py | 241 | sympy | {
"docstring": "\n This method changes the label of a member.\n\n Parameters\n ==========\n label: String or Symbol\n The label of the member for which the label has\n to be changed.\n\n new_label: String or Symbol\n The new label of the member.\n\n ... | 48 | Python | 39 | 99ede53223eafb56b2c2b4ab7b8a6764b628c9d9 | truss.py | 198,535 | 13 | 161 | change_member_label | https://github.com/sympy/sympy.git | remove_load method added along with other changes | 231 | 0 | 48,987 | 18 | |
1 | 2 | def multiselect(self):
return self["multiselect"]
| packages/python/plotly/plotly/graph_objs/parcoords/_dimension.py | 22 | plotly.py | {
"docstring": "\n Do we allow multiple selection ranges or just a single range?\n\n The 'multiselect' property must be specified as a bool\n (either True, or False)\n\n Returns\n -------\n bool\n ",
"language": "en",
"n_whitespaces": 77,
"n_words": 27,
"vocab_... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _dimension.py | 233,094 | 2 | 11 | multiselect | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 64,538 | 7 | |
9 | 18 | def _ask_default(self, default=''):
self.prompt_output.write('Please enter the default value as valid Python.')
if default:
self.prompt_output.write(
f"Accept the default '{default}' by pressing 'Enter' or "
f"provide another value."
)
... | django/db/migrations/questioner.py | 288 | django | {
"docstring": "\n Prompt for a default value.\n\n The ``default`` argument allows providing a custom default value (as a\n string) which will be shown to the user and used as the return value\n if the user doesn't provide any other input.\n ",
"language": "en",
"n_whitespaces":... | 119 | Python | 91 | 0ab58c120939093fea90822f376e1866fc714d1f | questioner.py | 202,903 | 30 | 158 | _ask_default | https://github.com/django/django.git | Refs #29026 -- Allowed customizing InteractiveMigrationQuestioner's prompt destination.
Previously, the questioner did not obey the value of stdout provided
to the command. | 473 | 0 | 50,164 | 17 | |
3 | 21 | def item_group_query(doctype, txt, searchfield, start, page_len, filters):
item_groups = []
cond = "1=1"
pos_profile = filters.get("pos_profile")
if pos_profile:
item_groups = get_item_groups(pos_profile)
if item_groups:
cond = "name in (%s)" % (", ".join(["%s"] * len(item_groups)))
cond = cond % tuple(... | erpnext/selling/page/point_of_sale/point_of_sale.py | 181 | @frappe.whitelist() | erpnext | {
"docstring": " select distinct name from `tabItem Group`\n\t\t\twhere {condition} and (name like %(txt)s) limit {start}, {page_len}",
"language": "en",
"n_whitespaces": 14,
"n_words": 15,
"vocab_size": 15
} | 51 | Python | 39 | 494bd9ef78313436f0424b918f200dab8fc7c20b | point_of_sale.py | 67,383 | 16 | 102 | item_group_query | https://github.com/frappe/erpnext.git | style: format code with black | 35 | 1 | 14,511 | 17 |
11 | 28 | def load_config(self, modelpath, use_gpu, gpu_id, use_mkldnn, cpu_threads):
# 对运行位置进行配置
if use_gpu:
try:
int(os.environ.get('CUDA_VISIBLE_DEVICES'))
except Exception:
print(
)
use_gpu = False
... | modules/image/keypoint_detection/hand_pose_localization/model.py | 496 | PaddleHub | {
"docstring": "\r\n load the model config\r\n modelpath: inference model path\r\n use_gpu: use gpu or not\r\n use_mkldnn: use mkldnn or not\r\n Error! Unable to use GPU. Please set the environment variables \"CUDA_VISIBLE_DEVICES=GPU_id\" to use GPU. Now switch to CPU to continue..... | 151 | Python | 76 | 6b42963d62833925ffed1cdb73400e7d528a5353 | model.py | 50,991 | 40 | 291 | load_config | https://github.com/PaddlePaddle/PaddleHub.git | update hand_pose_localization (#1967)
* update hand_pose_localization
* add clean func | 699 | 0 | 10,250 | 16 | |
1 | 13 | def call(cls, y_true, y_pred):
diff = K.abs(y_true - y_pred)
max_loss = K.max(diff, axis=(1, 2), keepdims=True)
loss = K.mean(max_loss, axis=-1)
return loss
| lib/model/losses_tf.py | 84 | faceswap | {
"docstring": " Call the L-inf norm loss function.\n\n Parameters\n ----------\n y_true: tensor or variable\n The ground truth value\n y_pred: tensor or variable\n The predicted value\n\n Returns\n -------\n tensor\n The loss value\n ... | 21 | Python | 18 | c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf | losses_tf.py | 100,356 | 5 | 55 | call | https://github.com/deepfakes/faceswap.git | 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 -... | 56 | 0 | 19,845 | 10 | |
1 | 29 | def test_column_feature_type_mismatch_fill():
cat_feat = category_feature()
bin_feat = binary_feature()
input_features = [cat_feat]
output_features = [bin_feat]
config = {"input_features": input_features, "output_features": output_features}
# Construct dataframe with int-like column repres... | tests/integration_tests/test_preprocessing.py | 230 | @pytest.mark.parametrize("format", ["file", "df"]) | ludwig | {
"docstring": "Tests that we are able to fill missing values even in columns where the column dtype and desired feature\n dtype do not match.",
"language": "en",
"n_whitespaces": 25,
"n_words": 23,
"vocab_size": 22
} | 66 | Python | 56 | 1e6dbeff57fc5065b97dd018b904b9907468676f | test_preprocessing.py | 7,805 | 15 | 125 | test_column_feature_type_mismatch_fill | https://github.com/ludwig-ai/ludwig.git | Treat dataset columns as object dtype during first pass of handle_missing_values (#2398) | 140 | 1 | 1,273 | 17 |
1 | 5 | def _numel_arraylike(x, **kwargs):
return _numel(x, coerce_np_ndarray=False, **kwargs)
| dask/array/backends.py | 34 | dask | {
"docstring": "Numel implementation for arrays that want to return numel of the same type.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | 7 | Python | 7 | 8b95f983c232c1bd628e9cba0695d3ef229d290b | backends.py | 156,880 | 2 | 21 | _numel_arraylike | https://github.com/dask/dask.git | Sparse array reductions (#9342) | 13 | 0 | 36,797 | 8 | |
1 | 5 | def _new_step(self):
self.should_save = False
self.should_evaluate = False
self.should_log = False
| paddlenlp/trainer/trainer_callback.py | 37 | PaddleNLP | {
"docstring": "Internal method that resets the variable for a new step.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 11 | Python | 7 | 44a290e94d1becd1f09fddc3d873f9e19c9d6919 | trainer_callback.py | 323,153 | 4 | 21 | _new_step | https://github.com/PaddlePaddle/PaddleNLP.git | [Trainer] Add init version of paddlenlp trainer and apply finetune for ernie-1.0 pretraining. (#1761)
* add some datasets for finetune.
* support fine tune for all tastks.
* add trainer prototype.
* init verison for paddlenlp trainer.
* refine trainer.
* update for some details.
* support multi-card... | 39 | 0 | 118,389 | 7 | |
1 | 29 | def test_realm_quota(self) -> None:
self.login("hamlet")
d1 = StringIO("zulip!")
d1.name = "dummy_1.txt"
result = self.client_post("/json/user_uploads", {"file": d1})
response_dict = self.assert_json_success(result)
d1_path_id = re.sub("/user_uploads/", "", resp... | zerver/tests/test_upload.py | 402 | zulip | {
"docstring": "\n Realm quota for uploading should not be exceeded.\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 8,
"vocab_size": 8
} | 117 | Python | 69 | a142fbff85302c5e3acb2e204eca2e9c75dbc74b | test_upload.py | 84,150 | 30 | 223 | test_realm_quota | https://github.com/zulip/zulip.git | tests: Refactor away result.json() calls with helpers.
Signed-off-by: Zixuan James Li <p359101898@gmail.com> | 327 | 0 | 17,789 | 11 | |
1 | 2 | def readable(self):
return False
| python3.10.4/Lib/_pyio.py | 16 | XX-Net | {
"docstring": "Return a bool indicating whether object was opened for reading.\n\n If False, read() will raise OSError.\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 16,
"vocab_size": 16
} | 4 | Python | 4 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | _pyio.py | 219,890 | 2 | 8 | readable | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 18 | 0 | 55,883 | 6 | |
3 | 13 | async def get_object_refs_from_last_execute(self) -> Dict[str, Any]:
cache = {}
for node_uuid, value in self.cache_from_last_execute.items():
if isinstance(value, asyncio.Task):
cache[node_uuid] = await value
else:
cache[node_uuid] = value... | python/ray/dag/dag_node.py | 92 | ray | {
"docstring": "Gets cached object refs from the last call to execute().\n\n After this DAG is executed through execute(), retrieves a map between node\n UUID to a reference to the return value of the default executor on that node.\n ",
"language": "en",
"n_whitespaces": 58,
"n_words": 37,
... | 27 | Python | 21 | 4c970cc88247f7cfa7351297b8b5050f2372742e | dag_node.py | 127,340 | 13 | 57 | get_object_refs_from_last_execute | https://github.com/ray-project/ray.git | [serve] Visualize Deployment Graph with Gradio (#27897) | 107 | 0 | 28,418 | 12 | |
1 | 2 | def editrevision(self):
return self["editrevision"]
| packages/python/plotly/plotly/graph_objs/_layout.py | 22 | plotly.py | {
"docstring": "\n Controls persistence of user-driven changes in `editable: true`\n configuration, other than trace names and axis titles. Defaults\n to `layout.uirevision`.\n\n The 'editrevision' property accepts values of any type\n\n Returns\n -------\n Any\n ... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _layout.py | 227,325 | 2 | 11 | editrevision | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 58,998 | 7 | |
5 | 7 | def RGS_generalized(m):
d = zeros(m + 1)
for i in range(m + 1):
d[0, i] = 1
for i in range(1, m + 1):
for j in range(m):
if j <= m - i:
d[i, j] = j * d[i - 1, j] + d[i - 1, j + 1]
else:
d[i, j] = 0
return d
| sympy/combinatorics/partitions.py | 148 | sympy | {
"docstring": "\n Computes the m + 1 generalized unrestricted growth strings\n and returns them as rows in matrix.\n\n Examples\n ========\n\n >>> from sympy.combinatorics.partitions import RGS_generalized\n >>> RGS_generalized(6)\n Matrix([\n [ 1, 1, 1, 1, 1, 1, 1],\n [ 1, 2, ... | 57 | Python | 32 | 7d773eb18daaef3c54f34d1ac6cbc5b83a5bb16c | partitions.py | 198,361 | 11 | 99 | RGS_generalized | https://github.com/sympy/sympy.git | Cleanup loops and ranges | 138 | 0 | 48,881 | 16 | |
1 | 4 | def _draw_rasterized(figure, artists, renderer):
| lib/matplotlib/axes/_base.py | 17 | matplotlib | {
"docstring": "\n A helper function for rasterizing the list of artists.\n\n The bookkeeping to track if we are or are not in rasterizing mode\n with the mixed-mode backends is relatively complicated and is now\n handled in the matplotlib.artist.allow_rasterization decorator.\n\n This helper defines t... | 4 | Python | 4 | eb52a34559bad8e86c85069e5af15d0eb3d5c6f9 | _base.py | 110,772 | 8 | 37 | _draw_rasterized | https://github.com/matplotlib/matplotlib.git | DOC: add docstring to too-clever helper function | 7 | 0 | 24,287 | 6 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.