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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 27 | def find_python(finder, line=None):
if line and not isinstance(line, str):
raise TypeError(
f"Invalid python search type: expected string, received {line!r}"
)
if line and os.path.isabs(line):
if os.name == "nt":
line = make_posix(line)
return line
... | pipenv/utils/shell.py | 326 | pipenv | {
"docstring": "\n Given a `pythonfinder.Finder` instance and an optional line, find a corresponding python\n\n :param finder: A :class:`pythonfinder.Finder` instance to use for searching\n :type finder: :class:pythonfinder.Finder`\n :param str line: A version, path, name, or nothing, defaults to None\n ... | 94 | Python | 53 | 3387881a6d4fc2d8bdc0f05c484cb2f7222acfb8 | shell.py | 19,575 | 28 | 194 | find_python | https://github.com/pypa/pipenv.git | Code reorg utils into utils module reduces complexity (#4990)
* Split apart the massive utils.py into a utils module | 258 | 0 | 3,027 | 14 | |
1 | 4 | def val(self, request):
return request.param
| pandas/tests/series/indexing/test_setitem.py | 21 | pandas | {
"docstring": "\n NA values that should generally be valid_na for *all* dtypes.\n\n Include both python float NaN and np.float64; only np.float64 has a\n `dtype` attribute.\n ",
"language": "en",
"n_whitespaces": 52,
"n_words": 23,
"vocab_size": 23
} | 5 | Python | 5 | 3510b1fd2a9cf752638f4af751bdeb33496db766 | test_setitem.py | 163,656 | 2 | 12 | val | https://github.com/pandas-dev/pandas.git | BUG: setting pd.NA into Series casts to object (#45431) | 19 | 0 | 39,479 | 6 | |
4 | 18 | def arange(start, stop=None, step=1, dtype="int32"):
# Match the behavior of numpy and Theano by returning an empty sequence.
if stop is None and start < 0:
start = 0
result = tf.range(start, limit=stop, delta=step, name="arange")
if dtype != "int32":
result = cast(result, dtype)
... | keras/backend.py | 134 | @keras_export("keras.backend.tile")
@tf.__internal__.dispatch.add_dispatch_support
@doc_controls.do_not_generate_docs | keras | {
"docstring": "Creates a 1D tensor containing a sequence of integers.\n\n The function arguments use the same convention as\n Theano's arange: if only one argument is provided,\n it is in fact the \"stop\" argument and \"start\" is 0.\n\n The default type of the returned tensor is `'int32'` to\n match... | 48 | Python | 41 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | backend.py | 269,614 | 7 | 65 | arange | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 77 | 1 | 80,233 | 10 |
1 | 15 | 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... | tests/util/test_macaroons.py | 177 | synapse | {
"docstring": "Test the generation and verification of guest access tokens",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 48 | Python | 36 | fe1daad67237c2154a3d8d8cdf6c603f0d33682e | test_macaroons.py | 248,583 | 12 | 96 | test_guest_access_token | https://github.com/matrix-org/synapse.git | 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... | 154 | 0 | 72,364 | 10 | |
6 | 29 | def get_docker_network(client) -> Optional[str]:
import docker
if TYPE_CHECKING: # pragma: no cover
from docker.models.containers import Container
container: 'Container' = None
try:
hostname = socket.gethostname()
container = client.containers.get(hostname)
except dock... | jina/orchestrate/pods/container_helper.py | 249 | jina | {
"docstring": "Do a best-effort guess if the caller is already in a docker network\n\n Check if `hostname` exists in list of docker containers.\n If a container is found, check its network id\n\n :param client: docker client object\n :return: network id if exists\n ",
"language": "en",
"n_whitespa... | 64 | Python | 41 | f5a362f0ffc5070c104c840ab7833689d39b7bdb | container_helper.py | 13,330 | 32 | 144 | get_docker_network | https://github.com/jina-ai/jina.git | chore: add pragma no cover to TYPE_CHECKING branch (#5299) | 243 | 0 | 2,601 | 19 | |
1 | 2 | def valueminus(self):
return self["valueminus"]
| packages/python/plotly/plotly/graph_objs/bar/_error_x.py | 22 | plotly.py | {
"docstring": "\n Sets the value of either the percentage (if `type` is set to\n \"percent\") or the constant (if `type` is set to \"constant\")\n corresponding to the lengths of the error bars in the bottom\n (left) direction for vertical (horizontal) bars\n\n The 'valueminus' pro... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _error_x.py | 228,639 | 2 | 11 | valueminus | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 60,312 | 7 | |
1 | 3 | def required_packages() -> List[Text]:
return ["sklearn"]
| rasa/nlu/classifiers/logistic_regression_classifier.py | 27 | rasa | {
"docstring": "Any extra python dependencies required for this component to run.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 6 | Python | 6 | dc762814317ce46873a5226ee09033031a7d3604 | logistic_regression_classifier.py | 159,357 | 3 | 14 | required_packages | https://github.com/RasaHQ/rasa.git | Add Logistic Regression to our NLU classifiers. (#10650)
* added-logistic-regression
* added
* d0h! gotta copy the imports correctly
* run black
* black issues fixed
* stash
* added tolerance hyperparam
* added random seed
* fixed testing path
* ran black
* use joblib directly
* insura... | 20 | 0 | 38,212 | 7 | |
5 | 15 | def get_uom_conv_factor(uom, stock_uom):
if uom == stock_uom:
return 1.0
from_uom, to_uom = uom, stock_uom # renaming for readability
exact_match = frappe.db.get_value(
"UOM Conversion Factor", {"to_uom": to_uom, "from_uom": from_uom}, ["value"], as_dict=1
)
if exact_match:
return exact_match.value
in... | erpnext/stock/doctype/item/item.py | 229 | @frappe.whitelist() | erpnext | {
"docstring": "Get UOM conversion factor from uom to stock_uom\n\te.g. uom = \"Kg\", stock_uom = \"Gram\" then returns 1000.0\n\t\n\t\t\tselect (first.value / second.value) as value\n\t\t\tfrom `tabUOM Conversion Factor` first\n\t\t\tjoin `tabUOM Conversion Factor` second\n\t\t\t\ton first.from_uom = second.from_uom... | 105 | Python | 64 | 494bd9ef78313436f0424b918f200dab8fc7c20b | item.py | 67,625 | 30 | 131 | get_uom_conv_factor | https://github.com/frappe/erpnext.git | style: format code with black | 82 | 1 | 14,581 | 11 |
2 | 12 | def stack1(x, filters, blocks, stride1=2, name=None):
x = block1(x, filters, stride=stride1, name=name + "_block1")
for i in range(2, blocks + 1):
x = block1(
x, filters, conv_shortcut=False, name=name + "_block" + str(i)
)
return x
| keras/applications/resnet.py | 109 | keras | {
"docstring": "A set of stacked residual blocks.\n\n Args:\n x: input tensor.\n filters: integer, filters of the bottleneck layer in a block.\n blocks: integer, blocks in the stacked blocks.\n stride1: default 2, stride of the first layer in the first block.\n name: string, stack label.\n... | 35 | Python | 26 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | resnet.py | 269,422 | 7 | 73 | stack1 | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 72 | 0 | 80,070 | 14 | |
1 | 8 | def print_rules(self) -> Iterator[str]:
yield from self._defined_facts_lines()
yield ''
yield ''
yield from self._full_implications_lines()
yield ''
yield ''
yield from self._prereq_lines()
yield ''
yield ''
yield from self._beta_r... | sympy/core/facts.py | 140 | sympy | {
"docstring": " Returns a generator with lines to represent the facts and rules ",
"language": "en",
"n_whitespaces": 12,
"n_words": 11,
"vocab_size": 11
} | 51 | Python | 24 | f68e8de4252200cfc74b9433d00f77c4510ac68d | facts.py | 199,955 | 18 | 63 | print_rules | https://github.com/sympy/sympy.git | refactor | 184 | 0 | 49,448 | 8 | |
10 | 27 | def _process_input(self, batch):
if not self._additional_keys:
existing_keys = list(batch.keys())
original_boxes = np.array([(face.left, face.top, face.width, face.height)
for face in batch["detected_faces"]])
adjusted_boxes = self._get_ad... | plugins/extract/align/_base.py | 314 | faceswap | {
"docstring": " Process the input to the aligner model multiple times based on the user selected\n `re-feed` command line option. This adjusts the bounding box for the face to be fed\n into the model by a random amount within 0.05 pixels of the detected face's shortest axis.\n\n References\n ... | 93 | Python | 53 | 5e73437be47f2410439a3c6716de96354e6a0c94 | _base.py | 101,239 | 20 | 205 | _process_input | https://github.com/deepfakes/faceswap.git | lib.align updates:
- alignments.py
- Add typed dicts for imported alignments
- Explicitly check for presence of thumb value in alignments dict
- linting
- detected_face.py
- Typing
- Linting
- Legacy support for pre-aligned face
- Update dependencies to new property names | 323 | 0 | 20,659 | 14 | |
3 | 6 | def reduce_per_replica(values, strategy, reduction):
if reduction == "auto":
reduction = "first" if backend.is_tpu_strategy(strategy) else "sum"
| keras/engine/training.py | 49 | keras | {
"docstring": "Attempt to reduce the structure `values` to single values.\n\n Given `values` (a `tf.Tensor` or a `PerReplica` structure),\n which represents the values across all the replicas, `reduce_per_replica`\n attempts to \"reduce\" those values and returns the corresponding structure\n that repres... | 15 | Python | 13 | 47a4cfe06faf54e271ab50e6d0aae73b06a35f86 | training.py | 279,867 | 5 | 40 | reduce_per_replica | https://github.com/keras-team/keras.git | Update training.py | 28 | 0 | 83,158 | 11 | |
5 | 20 | def auc(x, y):
check_consistent_length(x, y)
x = column_or_1d(x)
y = column_or_1d(y)
if x.shape[0] < 2:
raise ValueError(
"At least 2 points are needed to compute area under curve, but x.shape = %s"
% x.shape
)
direction = 1
dx = np.diff(x)
if n... | sklearn/metrics/_ranking.py | 209 | scikit-learn | {
"docstring": "Compute Area Under the Curve (AUC) using the trapezoidal rule.\n\n This is a general function, given points on a curve. For computing the\n area under the ROC-curve, see :func:`roc_auc_score`. For an alternative\n way to summarize a precision-recall curve, see\n :func:`average_precision_... | 102 | Python | 79 | f5871a39f445d84b55c5d7897c875a86d590408e | _ranking.py | 260,010 | 20 | 126 | auc | https://github.com/scikit-learn/scikit-learn.git | DOC Ensures that sklearn.metrics._ranking.auc passes numpydoc validation (#23433) | 235 | 0 | 76,030 | 15 | |
2 | 10 | def _get_stem(self):
filename = os.path.basename(self.src_path)
stem, ext = os.path.splitext(filename)
return 'index' if stem in ('index', 'README') else stem
| mkdocs/structure/files.py | 73 | mkdocs | {
"docstring": "Return the name of the file without it's extension.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 8
} | 18 | Python | 16 | e7f07cc82ab2be920ab426ba07456d8b2592714d | files.py | 224,035 | 4 | 42 | _get_stem | https://github.com/mkdocs/mkdocs.git | Remove spaces at the ends of docstrings, normalize quotes | 46 | 0 | 57,182 | 9 | |
2 | 6 | def heappop(heap):
lastelt = heap.pop() # raises appropriate IndexError if heap is empty
if heap:
returnitem = heap[0]
heap[0] = lastelt
_siftup(heap, 0)
return returnitem
return lastelt
| python3.10.4/Lib/heapq.py | 64 | XX-Net | {
"docstring": "Pop the smallest item off the heap, maintaining the heap invariant.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 9
} | 27 | Python | 19 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | heapq.py | 217,640 | 8 | 38 | heappop | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 70 | 0 | 54,859 | 9 | |
2 | 4 | def test_get_significant_states_only(hass_history):
hass = hass_history
entity_id = "sensor.test"
| tests/components/history/test_init.py | 25 | core | {
"docstring": "Test significant states when significant_states_only is set.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | 8 | Python | 7 | 29bda196b5e0a90a2bea7e1797742236114afc1c | test_init.py | 299,828 | 36 | 264 | test_get_significant_states_only | https://github.com/home-assistant/core.git | Break apart recorder into tasks and core modules (#71222) | 17 | 0 | 98,730 | 7 | |
1 | 4 | def get_labels(self):
return ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC"], \
self.BUILDER_CONFIGS[self.name]['pos_tags']
| paddlenlp/datasets/conll2002.py | 72 | PaddleNLP | {
"docstring": "\n Returns labels of ner tags and pos tags.\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 8,
"vocab_size": 8
} | 14 | Python | 14 | 7b455cce47204d4d664deea9661670a838ec8d35 | conll2002.py | 322,232 | 3 | 39 | get_labels | https://github.com/PaddlePaddle/PaddleNLP.git | feat: add conll2002 dataset (#1561)
Co-authored-by: Zeyu Chen <chenzeyu01@baidu.com> | 42 | 0 | 118,099 | 9 | |
2 | 21 | def supplier_query(doctype, txt, searchfield, start, page_len, filters):
supp_master_name = frappe.defaults.get_user_default("supp_master_name")
if supp_master_name == "Supplier Name":
fields = ["name", "supplier_group"]
else:
fields = ["name", "supplier_name", "supplier_group"]
fields = get_fields("Supplier"... | erpnext/controllers/queries.py | 228 | @frappe.whitelist()
@frappe.validate_and_sanitize_search_inputs | erpnext | {
"docstring": "select {field} from `tabSupplier`\n\t\twhere docstatus < 2\n\t\t\tand ({key} like %(txt)s\n\t\t\tor supplier_name like %(txt)s) and disabled=0\n\t\t\tand (on_hold = 0 or (on_hold = 1 and CURDATE() > release_date))\n\t\t\t{mcond}\n\t\torder by\n\t\t\tif(locate(%(_txt)s, name), locate(%(_txt)s, name), 9... | 54 | Python | 43 | 494bd9ef78313436f0424b918f200dab8fc7c20b | queries.py | 65,658 | 24 | 119 | supplier_query | https://github.com/frappe/erpnext.git | style: format code with black | 39 | 1 | 13,978 | 15 |
2 | 9 | def _eval_evalf(self, prec):
return Quaternion(*[arg.evalf(n=prec_to_dps(prec)) for arg in self.args])
| sympy/algebras/quaternion.py | 52 | sympy | {
"docstring": "Returns the floating point approximations (decimal numbers) of the quaternion.\n\n Returns\n =======\n\n Quaternion\n Floating point approximations of quaternion(self)\n\n Examples\n ========\n\n >>> from sympy import Quaternion\n >>> from sy... | 9 | Python | 9 | 498015021131af4dbb07eb110e5badaba8250c7b | quaternion.py | 196,019 | 2 | 32 | _eval_evalf | https://github.com/sympy/sympy.git | Updated import locations | 23 | 0 | 47,519 | 14 | |
2 | 16 | def call_deploy(cls, fname, col_partitions, **kwargs):
return np.array(
[
cls.deploy(
cls.parse,
num_returns=NPartitions.get() + 2,
fname=fname,
columns=cols,
num_splits=NPart... | modin/core/io/column_stores/column_store_dispatcher.py | 96 | modin | {
"docstring": "\n Deploy remote tasks to the workers with passed parameters.\n\n Parameters\n ----------\n fname : str, path object or file-like object\n Name of the file to read.\n col_partitions : list\n List of arrays with columns names that should be read\... | 24 | Python | 24 | 97769988a6f19e4b76f34238c97bf159ee7626a5 | column_store_dispatcher.py | 153,543 | 14 | 65 | call_deploy | https://github.com/modin-project/modin.git | REFACTOR-#3853: interacting with Dask interface through 'DaskWrapper' class (#3854)
Co-authored-by: Devin Petersohn <devin-petersohn@users.noreply.github.com>
Co-authored-by: Dmitry Chigarev <dchigarev@users.noreply.github.com>
Co-authored-by: Yaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Anatoly Myachev <... | 226 | 0 | 35,432 | 15 | |
8 | 53 | def load_and_dump(self) -> None:
with ExitStack() as stack:
# set env vars
stack.enter_context(change_env('JINA_FULL_CLI', 'true'))
# change directory to `workspace`
stack.enter_context(change_cwd(get_workspace_path(self.workspace_id)))
# lo... | daemon/api/dependencies.py | 446 | jina | {
"docstring": "\n every Flow created inside JinaD lives inside a container. It is important to know the\n list of ports to be published with localhost before actually starting the container.\n\n 1. `load` the flow yaml here.\n - yaml is stored in `workspace` directory, so we'll `cd` t... | 128 | Python | 94 | 933415bfa1f9eb89f935037014dfed816eb9815d | dependencies.py | 9,812 | 59 | 273 | load_and_dump | 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 ... | 858 | 0 | 1,704 | 18 | |
5 | 12 | def hvac_action(self) -> HVACAction:
if self._model != NA_VALVE and self._boilerstatus is not None:
return CURRENT_HVAC_MAP_NETATMO[self._boilerstatus]
# Maybe it is a valve
if (
heating_req := getattr(self._room, "heating_power_request", 0)
) is not None... | homeassistant/components/netatmo/climate.py | 95 | core | {
"docstring": "Return the current running hvac operation if supported.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | 40 | Python | 32 | 81abeac83ed85c5753cb8f2ac317caf079cf1868 | climate.py | 287,828 | 9 | 60 | hvac_action | https://github.com/home-assistant/core.git | Netatmo refactor to use pyatmo 7.0.1 (#73482) (#78523)
Co-authored-by: Robert Svensson <Kane610@users.noreply.github.com> | 115 | 0 | 87,015 | 12 | |
2 | 18 | def test_actual_timeouts(mock_build_dir):
query = bazel_sharding.get_target_expansion_query(
["..."], tests_only=False, exclude_manual=False
)
xml_output = bazel_sharding.run_bazel_query(query, debug=False)
rules = set(bazel_sharding.extract_rules_from_xml(xml_output))
expected_timeouts... | ci/run/bazel_sharding/tests/test_bazel_sharding.py | 218 | ray | {
"docstring": "Test that size and timeout attrs are mapped to seconds correctly.\n\n Assert that each of the fake rules is mapped correctly.\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 21,
"vocab_size": 18
} | 68 | Python | 42 | d1aa5608979891e3dd859c07fa919fa01cfead5f | test_bazel_sharding.py | 134,048 | 20 | 134 | test_actual_timeouts | https://github.com/ray-project/ray.git | [CI] Make bazel sharding for parallel buildkite more intelligent (#29221)
This PR implements two changes to our `bazel-sharding.py` script, used for determining which bazel tests to run on each instance when buildkite parallelism is used:
* An ability to filter tests before they are sharded, using the same logic as `... | 172 | 0 | 30,180 | 10 | |
2 | 3 | def configTestMesh(device_type_mesh_map): # pylint: disable=invalid-name
reset_context()
| keras/dtensor/test_util.py | 20 | keras | {
"docstring": "Configs corresponding mesh given test context.\n\n If runs on a CPU mesh, set virtual device on CPU.\n If runs on a GPU mesh, sets virtual device on GPU with proper memory limits.\n if runs on a TPU mesh, initializes TPU system.\n\n Args:\n device_type_mesh_map: A ... | 6 | Python | 6 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | test_util.py | 270,641 | 12 | 75 | configTestMesh | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 21 | 0 | 80,502 | 7 | |
1 | 22 | async def test_lights(hass, mock_bridge_v2, v2_resources_test_data):
await mock_bridge_v2.api.load_test_data(v2_resources_test_data)
await setup_platform(hass, mock_bridge_v2, "light")
# there shouldn't have been any requests at this point
assert len(mock_bridge_v2.mock_requests) == 0
# 6 enti... | tests/components/hue/test_light_v2.py | 729 | core | {
"docstring": "Test if all v2 lights get created with correct features.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 264 | Python | 124 | dbef90654f3693401a2df88fa00afbbffbdffcd2 | test_light_v2.py | 294,272 | 52 | 423 | test_lights | https://github.com/home-assistant/core.git | Add effects feature to Hue lights (#68567) | 458 | 0 | 93,309 | 11 | |
1 | 5 | def get_devices(self) -> dict[str, dict]:
return self.devices
| tests/components/lutron_caseta/__init__.py | 28 | core | {
"docstring": "Will return all known devices connected to the Smart Bridge.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 7 | Python | 7 | 8b1713a691bd0c90824261be785f1998ad89f66f | __init__.py | 304,501 | 3 | 17 | get_devices | https://github.com/home-assistant/core.git | Add support for non-serialized devices (light, switch, cover, fan in RA3 Zones) (#75323)
Co-authored-by: J. Nick Koston <nick@koston.org> | 21 | 0 | 103,308 | 6 | |
5 | 14 | def SearchBackend(params):
if connection.vendor == 'postgresql':
from .postgres.postgres import PostgresSearchBackend
return PostgresSearchBackend(params)
elif connection.vendor == 'mysql':
from .mysql.mysql import MySQLSearchBackend
return MySQLSearchBackend(params)
eli... | wagtail/search/backends/database/__init__.py | 177 | wagtail | {
"docstring": "\n Returns the appropriate search backend for the current 'default' database system\n ",
"language": "en",
"n_whitespaces": 18,
"n_words": 11,
"vocab_size": 10
} | 52 | Python | 28 | 4248d406c011d6ba6207bb0e0e9b885813d961be | __init__.py | 70,498 | 18 | 99 | SearchBackend | https://github.com/wagtail/wagtail.git | Test for presence of fts5 extension in sqlite backend initialisation and migration | 174 | 0 | 15,513 | 13 | |
3 | 13 | def at_time(self, time, asof=False, axis=None): # noqa: PR01, RT01, D200
axis = self._get_axis_number(axis)
idx = self.index if axis == 0 else self.columns
indexer = pandas.Series(index=idx).at_time(time, asof=asof).index
return self.loc[indexer] if axis == 0 else self.loc[:, i... | modin/pandas/base.py | 118 | modin | {
"docstring": "\n Select values at particular time of day (e.g., 9:30AM).\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | 35 | Python | 27 | 605efa618e7994681f57b11d04d417f353ef8d50 | base.py | 153,617 | 5 | 78 | at_time | https://github.com/modin-project/modin.git | DOCS-#3099: Fix `BasePandasDataSet` docstrings warnings (#4333)
Co-authored-by: Yaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Alexander Myskov <alexander.myskov@intel.com> | 71 | 0 | 35,498 | 12 | |
1 | 7 | def autocorrelation_plot(series, ax=None, **kwargs) -> Axes:
plot_backend = _get_plot_backend("matplotlib")
return plot_backend.autocorrelation_plot(series=series, ax=ax, **kwargs)
| pandas/plotting/_misc.py | 60 | pandas | {
"docstring": "\n Autocorrelation plot for time series.\n\n Parameters\n ----------\n series : Time series\n ax : Matplotlib axis object, optional\n **kwargs\n Options to pass to matplotlib plotting method.\n\n Returns\n -------\n class:`matplotlib.axis.Axes`\n\n Examples\n --... | 13 | Python | 12 | 4bb1fd50a63badd38b5d96d9c4323dae7bc36d8d | _misc.py | 167,386 | 32 | 37 | autocorrelation_plot | https://github.com/pandas-dev/pandas.git | TYP: Missing return annotations in util/tseries/plotting (#47510)
* TYP: Missing return annotations in util/tseries/plotting
* the more tricky parts | 22 | 0 | 39,990 | 9 | |
9 | 20 | def _atomic(e, recursive=False):
pot = _preorder_traversal(e)
seen = set()
if isinstance(e, Basic):
free = getattr(e, "free_symbols", None)
if free is None:
return {e}
else:
return set()
from .symbol import Symbol
from .function import Derivative, Functio... | sympy/core/basic.py | 232 | sympy | {
"docstring": "Return atom-like quantities as far as substitution is\n concerned: Derivatives, Functions and Symbols. Do not\n return any 'atoms' that are inside such quantities unless\n they also appear outside, too, unless `recursive` is True.\n\n Examples\n ========\n\n >>> from sympy import Der... | 68 | Python | 46 | 65be461082dda54c8748922f9c29a19af1279fe1 | basic.py | 197,309 | 24 | 140 | _atomic | https://github.com/sympy/sympy.git | Remove abbreviations in documentation | 228 | 0 | 48,452 | 14 | |
6 | 14 | def ode_order(expr, func):
a = Wild('a', exclude=[func])
if expr.match(a):
return 0
if isinstance(expr, Derivative):
if expr.args[0] == func:
return len(expr.variables)
else:
return max(ode_order(arg, func) for arg in expr.args[0].args) + len(expr.variab... | sympy/solvers/deutils.py | 161 | sympy | {
"docstring": "\n Returns the order of a given differential\n equation with respect to func.\n\n This function is implemented recursively.\n\n Examples\n ========\n\n >>> from sympy import Function\n >>> from sympy.solvers.deutils import ode_order\n >>> from sympy.abc import x\n >>> f, g =... | 38 | Python | 26 | bd9f607176c58dfba01e27c05c2b7d49ff97c901 | deutils.py | 198,418 | 11 | 103 | ode_order | https://github.com/sympy/sympy.git | Improve loop performance in solvers | 103 | 0 | 48,925 | 17 | |
1 | 9 | def add_to_apply_calls(self, func, *args, **kwargs):
return type(self)(
self.list_of_partitions_to_combine,
full_axis=self.full_axis,
call_queue=self.call_queue + [(func, args, kwargs)],
)
| modin/core/execution/ray/implementations/pandas_on_ray/partitioning/virtual_partition.py | 69 | modin | {
"docstring": "\n Add a function to the call queue.\n\n Parameters\n ----------\n func : callable or ray.ObjectRef\n Function to be added to the call queue.\n *args : iterable\n Additional positional arguments to be passed in `func`.\n **kwargs : dict\n... | 15 | Python | 15 | 8d1004fdbdaa05700613c8e6287641a732acf606 | virtual_partition.py | 153,194 | 6 | 47 | add_to_apply_calls | https://github.com/modin-project/modin.git | FIX-#3675: Expand virtual partitioning utility (#3886)
Co-authored-by: mvashishtha <mahesh@ponder.io>
Co-authored-by: jeffreykennethli <jkli@ponder.io>
Co-authored-by: Anatoly Myachev <anatoly.myachev@intel.com>
Co-authored-by: Vasily Litvinov <vasilij.n.litvinov@intel.com>
Co-authored-by: Alexey Prutskov <alexey.... | 69 | 0 | 35,294 | 11 | |
2 | 5 | def is_active_loop_rejected(self) -> bool:
return self.active_loop is not None and self.active_loop.rejected
| rasa/shared/core/trackers.py | 35 | rasa | {
"docstring": "Return True if there is an active loop and it's rejected.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | 11 | Python | 11 | e798bf049f036a5865c14d4343ed8a833864aabe | trackers.py | 159,565 | 3 | 21 | is_active_loop_rejected | https://github.com/RasaHQ/rasa.git | convert TrackerActiveLoop to a dataclass | 25 | 0 | 38,337 | 8 | |
1 | 3 | def clear(self):
self._value = False
| python3.10.4/Lib/asyncio/locks.py | 21 | XX-Net | {
"docstring": "Reset the internal flag to false. Subsequently, coroutines calling\n wait() will block until set() is called to set the internal flag\n to true again.",
"language": "en",
"n_whitespaces": 37,
"n_words": 24,
"vocab_size": 19
} | 5 | Python | 5 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | locks.py | 220,548 | 2 | 11 | clear | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 19 | 0 | 56,047 | 7 | |
2 | 13 | def unmap(self) -> BaseOperator:
dag = self.get_dag()
if not dag:
raise RuntimeError("Cannot unmap a task unless it has a DAG")
dag._remove_task(self.task_id)
return self.create_unmapped_operator(dag)
# TODO: Deprecate for Airflow 3.0
Chainable = Union[DependencyMi... | airflow/models/baseoperator.py | 85 | airflow | {
"docstring": "Get the \"normal\" Operator after applying the current mapping",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 8
} | 33 | Python | 31 | fded2ca0b9c995737b401896b89e5c9fd7f24c91 | baseoperator.py | 44,593 | 7 | 39 | unmap | https://github.com/apache/airflow.git | Rewrite decorated task mapping (#21328) | 77 | 0 | 8,308 | 10 | |
2 | 5 | def get_admin_urls_for_registration(self):
urls = ()
for instance in self.modeladmin_instances:
urls += instance.get_admin_urls_for_registration()
return urls
| wagtail/contrib/modeladmin/options.py | 45 | wagtail | {
"docstring": "\n Utilised by Wagtail's 'register_admin_urls' hook to register urls for\n used by any associated ModelAdmin instances\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 14
} | 14 | Python | 12 | de3fcba9e95818e9634ab7de6bfcb1f4221f2775 | options.py | 70,994 | 5 | 26 | get_admin_urls_for_registration | https://github.com/wagtail/wagtail.git | Fix warnings from flake8-comprehensions. | 53 | 0 | 15,593 | 10 | |
1 | 9 | def print_help(self):
help_text = f
console.print(text=help_text, menu="Stocks - Backtesting")
| gamestonk_terminal/stocks/backtesting/bt_controller.py | 54 | OpenBBTerminal | {
"docstring": "Print help\n[param]Ticker: [/param]{self.ticker.upper()}[cmds]\n\n whatif what if you had bought X shares on day Y\n\n ema buy when price exceeds EMA(l)\n ema_cross buy when EMA(short) > EMA(long)\n rsi buy when RSI < low and sell when RSI > high[/cmds]\n ",
... | 9 | Python | 9 | 82747072c511beb1b2672846ae2ee4aec53eb562 | bt_controller.py | 281,535 | 11 | 22 | print_help | https://github.com/OpenBB-finance/OpenBBTerminal.git | Terminal Wide Rich (#1161)
* My idea for how we handle Rich moving forward
* remove independent consoles
* FIxed pylint issues
* add a few vars
* Switched print to console
* More transitions
* Changed more prints
* Replaced all prints
* Fixing tabulate
* Finished replace tabulate
* Finish... | 30 | 0 | 83,833 | 11 | |
4 | 17 | def resolve_url(root, info):
open_as = root.get("open_as", AppExtensionOpenAs.POPUP)
app_url = root["app_url"]
url = root["url"]
if url.startswith("/") and app_url and open_as == AppExtensionOpenAs.POPUP:
parsed_url = urlparse(app_url)
new_path = urljoin(... | saleor/graphql/app/types.py | 139 | saleor | {
"docstring": "Return an extension url.\n\n Apply url stitching when these 3 conditions are met:\n - url starts with /\n - openAs == \"POPUP\"\n - appUrl is defined\n ",
"language": "en",
"n_whitespaces": 73,
"n_words": 26,
"vocab_size": 23
} | 32 | Python | 23 | 4e6dca3085479e0ed0c471fe64dbd4ccd7a77a12 | types.py | 25,584 | 9 | 83 | resolve_url | https://github.com/saleor/saleor.git | Add new type of target and include openAs option | 107 | 0 | 4,908 | 12 | |
2 | 13 | def get_train_dataloader(self):
if self.train_dataset is None:
raise ValueError("Trainer: training requires a train_dataset.")
train_dataset = self.train_dataset
train_sampler = self._get_train_sampler()
return DataLoader(
train_dataset,
ba... | paddlenlp/trainer/trainer_base.py | 87 | PaddleNLP | {
"docstring": "\n Returns the training [`~paddle.io.DataLoader`].\n\n Will use no sampler if `self.train_dataset` does not implement `__len__`, a random sampler (adapted to\n distributed training if necessary) otherwise.\n\n Subclass and override this method if you want to inject some cus... | 25 | Python | 23 | 44a290e94d1becd1f09fddc3d873f9e19c9d6919 | trainer_base.py | 323,137 | 10 | 54 | get_train_dataloader | 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... | 115 | 0 | 118,380 | 10 | |
13 | 38 | def __call__(self, samples, context=None):
coarsest_stride = self.pad_to_stride
# multi scale input is nested list
if isinstance(samples,
typing.Sequence) and len(samples) > 0 and isinstance(
samples[0], typing.Sequence):
inne... | ppdet/data/transform/batch_operators.py | 575 | @register_op | PaddleDetection | {
"docstring": "\n Args:\n samples (list): a batch of sample, each is dict.\n ",
"language": "en",
"n_whitespaces": 36,
"n_words": 10,
"vocab_size": 10
} | 166 | Python | 85 | 0a3d768ce3464fca945ba58f0742fbe003930ec7 | batch_operators.py | 210,019 | 40 | 363 | __call__ | https://github.com/PaddlePaddle/PaddleDetection.git | [dev] update assigner and tood_head (#5169) | 699 | 1 | 52,850 | 15 |
2 | 11 | def is_categorical(arr) -> bool:
warnings.warn(
"is_categorical is deprecated and will be removed in a future version. "
"Use is_categorical_dtype instead.",
FutureWarning,
stacklevel=find_stack_level(),
)
return isinstance(arr, ABCCategorical) or is_categorical_dtype(ar... | pandas/core/dtypes/common.py | 62 | pandas | {
"docstring": "\n Check whether an array-like is a Categorical instance.\n\n .. deprecated:: 1.1.0\n Use ``is_categorical_dtype`` instead.\n\n Parameters\n ----------\n arr : array-like\n The array-like to check.\n\n Returns\n -------\n boolean\n Whether or not the array-... | 28 | Python | 28 | 0106c26529900bad0561efb9c9180f7f016365b0 | common.py | 169,777 | 39 | 36 | is_categorical | https://github.com/pandas-dev/pandas.git | REVERT caching in find_stack_level (#49053)
Revert "PERF cache find_stack_level (#48023)"
This reverts commit 2f8d0a36703e81e4dca52ca9fe4f58c910c1b304.
Co-authored-by: MarcoGorelli <> | 68 | 0 | 40,464 | 10 | |
1 | 18 | def regularization_terms(self) -> torch.Tensor:
off_diagonal_entries = torch.masked_select(self.w, ~torch.eye(self.num_classes, dtype=bool))
weight_matrix_loss = self.off_diagonal_l2 * torch.linalg.vector_norm(off_diagonal_entries)
bias_vector_loss = self.mu * torch.linalg.vector_norm(s... | ludwig/utils/calibration.py | 110 | ludwig | {
"docstring": "Off-Diagonal and Intercept Regularisation (ODIR).\n\n Described in \"Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet\n calibration\"\n https://proceedings.neurips.cc/paper/2019/file/8ca01ea920679a0fe3728441494041b9-Paper.pdf\n "... | 24 | Python | 19 | e65f74e87e8e29922f4e9f9d839978ffb2c5b029 | calibration.py | 7,068 | 11 | 70 | regularization_terms | https://github.com/ludwig-ai/ludwig.git | Adds mechanism for calibrating probabilities for category and binary features (#1949)
* Started adding files for calibration implementation.
* Adds option to return logits and labels in predictor.
* Pre-commit fixes
* First pass temperature scaling working.
* Fixes calibration for categorical feature.
*... | 59 | 0 | 1,113 | 12 | |
7 | 38 | def get_video_input_devices_names() -> List[str]:
# based on https://docs.microsoft.com/ru-ru/windows/win32/directshow/selecting-a-capture-device
names = []
sys_dev_enum = strmif.ICreateDevEnum()
if ole32.CoCreateInstance(uuids.CLSID_SystemDeviceEnum, None, ole32.CLSCTX.CLSCTX_INPROC_SERVER, strmi... | xlib/api/win32/dshow/helper.py | 363 | DeepFaceLive | {
"docstring": "\n returns a list of available names of VideoInputDevice's\n\n ole32 should be initialized before use\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 14,
"vocab_size": 13
} | 82 | Python | 55 | 2be32787538f1b0ef83f648ee60d2d4d4868d3fd | helper.py | 179,091 | 25 | 230 | get_video_input_devices_names | https://github.com/iperov/DeepFaceLive.git | update xlib.api.win32 | 317 | 0 | 42,899 | 21 | |
1 | 2 | def more_better_error_messages(func):
| src/sentry/db/postgres/decorators.py | 13 | sentry | {
"docstring": "\n Wraps functions where the first param is a SQL statement and enforces\n any exceptions thrown will also contain the statement in the message.\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 23,
"vocab_size": 20
} | 2 | Python | 2 | 71583b888a5c079749333875a0bbb277188ef693 | decorators.py | 96,697 | 4 | 15 | more_better_error_messages | https://github.com/getsentry/sentry.git | ref(lang): 🙊 (#32292) | 5 | 0 | 19,339 | 6 | |
40 | 42 | def meta_from_array(x, ndim=None, dtype=None):
# If using x._meta, x must be a Dask Array, some libraries (e.g. zarr)
# implement a _meta attribute that are incompatible with Dask Array._meta
if hasattr(x, "_meta") and isinstance(x, Array):
x = x._meta
if dtype is None and x is None:
... | dask/array/utils.py | 816 | dask | {
"docstring": "Normalize an array to appropriate meta object\n\n Parameters\n ----------\n x: array-like, callable\n Either an object that looks sufficiently like a Numpy array,\n or a callable that accepts shape and dtype keywords\n ndim: int\n Number of dimensions of the array\n ... | 287 | Python | 149 | 7471eb3d1e9ccf085b70b219413aa891c8c2c167 | utils.py | 156,257 | 66 | 524 | meta_from_array | https://github.com/dask/dask.git | masked scalars input to da.from_array (#8895) | 887 | 0 | 36,621 | 21 | |
14 | 49 | def generate_deleted_models(self):
new_keys = self.new_model_keys | self.new_unmanaged_keys
deleted_models = self.old_model_keys - new_keys
deleted_unmanaged_models = self.old_unmanaged_keys - new_keys
all_deleted_models = chain(
sorted(deleted_models), sorted(delete... | django/db/migrations/autodetector.py | 593 | django | {
"docstring": "\n Find all deleted models (managed and unmanaged) and make delete\n operations for them as well as separate operations to delete any\n foreign key or M2M relationships (these are optimized later, if\n possible).\n\n Also bring forward removal of any model options th... | 223 | Python | 130 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | autodetector.py | 205,280 | 75 | 389 | generate_deleted_models | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 1,559 | 0 | 51,062 | 17 | |
3 | 7 | def all_subclasses(cls):
return set(cls.__subclasses__()).union([s for c in cls.__subclasses__() for s in all_subclasses(c)])
| scripts/extract_schema.py | 61 | ludwig | {
"docstring": "Returns recursively-generated list of all children classes inheriting from given `cls`.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | 12 | Python | 10 | 23a33eef3bc7ea3ba33ec56dc9b56ba38462648a | extract_schema.py | 6,557 | 2 | 37 | all_subclasses | https://github.com/ludwig-ai/ludwig.git | feat: Modify Trainer to use marshmallow_dataclass syntax for handling hyperparameters. Add basic scripting for docstring extraction to marshmallow schema. Fix some existing marshmallow issues. (#1606) | 18 | 0 | 1,029 | 11 | |
1 | 11 | def test_second_upgrade_after_delay(self) -> None:
channel1 = self._upgrade_room()
self.assertEqual(200, channel1.code, channel1.result)
channel2 = self._upgrade_room(expire_cache=True)
self.assertEqual(200, channel2.code, channel2.result)
self.assertNotEqual(
... | tests/rest/client/test_upgrade_room.py | 115 | synapse | {
"docstring": "A second room upgrade is not deduplicated after some time has passed.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | 20 | Python | 18 | 99d3931974e65865d1102ee79d7b7e2b017a3180 | test_upgrade_room.py | 248,621 | 10 | 72 | test_second_upgrade_after_delay | https://github.com/matrix-org/synapse.git | Add more tests for room upgrades (#13074)
Signed-off-by: Sean Quah <seanq@element.io> | 91 | 0 | 72,379 | 9 | |
1 | 8 | def test_setup_connection_for_dialect_sqlite(sqlite_version, db_supports_row_number):
instance_mock = MagicMock(_db_supports_row_number=True)
execute_args = []
close_mock = MagicMock()
| tests/components/recorder/test_util.py | 44 | core | {
"docstring": "Test setting up the connection for a sqlite dialect.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 12 | Python | 10 | a4c1bcefb9d2a6f2aa0bc189fca496d46c78e3b0 | test_util.py | 300,937 | 22 | 143 | test_setup_connection_for_dialect_sqlite | https://github.com/home-assistant/core.git | Tune sqlite based on configured settings (#72016) | 24 | 0 | 99,791 | 9 | |
1 | 10 | def dry_run(self) -> None:
pod = self.build_pod_request_obj()
print(yaml.dump(prune_dict(pod.to_dict(), mode='strict')))
| airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py | 62 | airflow | {
"docstring": "\n Prints out the pod definition that would be created by this operator.\n Does not include labels specific to the task instance (since there isn't\n one in a dry_run) and excludes all empty elements.\n ",
"language": "en",
"n_whitespaces": 62,
"n_words": 33,
"vocab... | 9 | Python | 9 | 04082ac091e92587b22c8323170ebe38bc68a19a | kubernetes_pod.py | 46,963 | 8 | 35 | dry_run | https://github.com/apache/airflow.git | Cleanup dup code now that k8s provider requires 2.3.0+ (#22845) | 30 | 0 | 9,046 | 13 | |
2 | 19 | def get_2d_sincos_pos_embed(embed_dim, grid_size, add_cls_token=False):
grid_h = tf.range(grid_size, dtype=tf.float32)
grid_w = tf.range(grid_size, dtype=tf.float32)
grid = tf.meshgrid(grid_w, grid_h) # here w goes first
grid = tf.stack(grid, axis=0)
grid = tf.reshape(grid, [2, 1, grid_size, ... | src/transformers/models/vit_mae/modeling_tf_vit_mae.py | 176 | transformers | {
"docstring": "\n Create 2D sin/cos positional embeddings.\n\n Args:\n embed_dim (`int`):\n Embedding dimension.\n grid_size (`int`):\n The grid height and width.\n add_cls_token (`bool`, *optional*, defaults to `False`):\n Whether or not to add a classific... | 46 | Python | 32 | 5b40a37bc4da9dc6cd33876ce9bb3f7f48450a03 | modeling_tf_vit_mae.py | 36,650 | 10 | 118 | get_2d_sincos_pos_embed | https://github.com/huggingface/transformers.git | Add TF ViT MAE (#16255)
* ported TFViTMAEIntermediate and TFViTMAEOutput.
* added TFViTMAEModel and TFViTMAEDecoder.
* feat: added a noise argument in the implementation for reproducibility.
* feat: vit mae models with an additional noise argument for reproducibility.
Co-authored-by: ariG23498 <aritra.born... | 81 | 0 | 6,659 | 14 | |
5 | 26 | def _test_for_audio_stream(self) -> bool:
exe = im_ffm.get_ffmpeg_exe()
cmd = [exe, "-hide_banner", "-i", self._source_video, "-f", "ffmetadata", "-"]
try:
out = check_output(cmd, stderr=STDOUT)
except CalledProcessError as err:
out = err.output.decode(e... | plugins/convert/writer/ffmpeg.py | 251 | faceswap | {
"docstring": " Check whether the source video file contains an audio stream.\n\n If we attempt to mux audio from a source video that does not contain an audio stream\n ffmpeg will crash faceswap in a fairly ugly manner.\n\n Returns\n -------\n bool\n ``True if an audio ... | 69 | Python | 57 | 5a8b5d7b3c6b0b413fe2b4d9247b9dd0cd692fa0 | ffmpeg.py | 100,688 | 34 | 138 | _test_for_audio_stream | https://github.com/deepfakes/faceswap.git | bugfix: ffmpeg writer - prevent crash if no audio in source | 271 | 0 | 20,144 | 15 | |
4 | 12 | def process_dict_for_yaml_dump(data):
for k, v in data.items():
if isinstance(v, dict):
data[k] = process_dict_for_yaml_dump(v)
elif isinstance(v, str):
data[k] = remove_ansi_escape_sequences(v)
return data
@click.group(help="CLI for managing Serve instances on a... | python/ray/serve/scripts.py | 102 | @click.group(help="CLI for managing Serve instances on a Ray cluster.") | ray | {
"docstring": "\n Removes ANSI escape sequences recursively for all strings in dict.\n\n We often need to use yaml.dump() to print dictionaries that contain exception\n tracebacks, which can contain ANSI escape sequences that color printed text. However\n yaml.dump() will format the tracebacks incorrectl... | 30 | Python | 26 | b856daebbdc923a216ce412be477c61e6cc5707e | scripts.py | 125,444 | 7 | 53 | process_dict_for_yaml_dump | https://github.com/ray-project/ray.git | [Serve] Fix Formatting of Error Messages printed in `serve status` (#26578) | 74 | 1 | 27,872 | 13 |
1 | 2 | async def test_inject_db(db):
| tests/orion/database/test_dependencies.py | 14 | prefect | {
"docstring": "\n Regression test for async-mangling behavior of inject_db() decorator.\n\n Previously, when wrapping a coroutine function, the decorator returned\n that function's coroutine object, instead of the coroutine function.\n\n This worked fine in most cases because both a coroutine function an... | 3 | Python | 3 | 86956bde0a7efe9699703c5a318afdc76a59efab | test_dependencies.py | 52,989 | 5 | 25 | test_inject_db | https://github.com/PrefectHQ/prefect.git | Expand on regression test description | 6 | 0 | 10,682 | 6 | |
1 | 23 | def build_agent_spaces(self) -> Tuple[Space, Space]:
# noqa: E501
action_space = Discrete(19)
# The football field's corners are [+-1., +-0.42]. However, the players
# and balls may get out of the field. Thus we multiply those limits by
# a factor of 2.
xlim = 1.0 * 2
... | rllib/env/wrappers/kaggle_wrapper.py | 627 | ray | {
"docstring": "Construct the action and observation spaces\n\n Description of actions and observations:\n https://github.com/google-research/football/blob/master/gfootball/doc/\n observation.md\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 13,
"vocab_size": 12
} | 192 | Python | 129 | 8e680c483ce326cefc62e44f68ab1a6948b1c3d2 | kaggle_wrapper.py | 137,755 | 62 | 408 | build_agent_spaces | https://github.com/ray-project/ray.git | [RLlib] gymnasium support (new `Env.reset()/step()/seed()/render()` APIs). (#28369) | 1,613 | 0 | 31,237 | 21 | |
1 | 5 | def column_names(self) -> List[str]:
return self._data.column_names
| src/datasets/arrow_dataset.py | 29 | datasets | {
"docstring": "Names of the columns in the dataset.\n\n Example:\n\n ```py\n >>> from datasets import load_dataset\n >>> ds = load_dataset(\"rotten_tomatoes\", split=\"validation\")\n >>> ds.column_names\n ['text', 'label']\n ```\n ",
"language": "en",
"n_w... | 6 | Python | 6 | 445107bae3fcd6ac9eeae503232960fa4ba8ccfd | arrow_dataset.py | 104,761 | 13 | 17 | column_names | https://github.com/huggingface/datasets.git | Add code examples to API docs (#4168)
* add code examples for functions related to the base dataset class
* ✨ make style
* 🖍 make each code example fully reproducible where applicable
* 🖍 show parameter usage for some functions
* 🖍 add examples for DatasetInfo functions | 20 | 0 | 21,956 | 7 | |
2 | 10 | def clean_copy(self) -> "StorableObject":
if self.is_proxy:
self._data.generate_presigned_url()
return StorableObject(
id=self.id,
data=self._data,
tags=self.tags,
description=self.description,
)
... | packages/syft/src/syft/core/store/storeable_object.py | 119 | PySyft | {
"docstring": "\n This method return a copy of self, but clean up the search_permissions and\n read_permissions attributes.\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 15
} | 22 | Python | 17 | 2260fe77c69381a2c815a7213562115969cbf8a3 | storeable_object.py | 745 | 17 | 77 | clean_copy | https://github.com/OpenMined/PySyft.git | syft: integrate upload to s3 in send method
- data proxy property in storable object class
- add method to get presigned GET url in ProxyDataClass
- update .get method to support s3 presigned url in case of proxy data class
Co-authored-by: IonesioJunior <ionesiojr@gmail.com> | 173 | 0 | 110 | 12 | |
7 | 47 | def test_cluster_rllib_restore(start_connected_cluster, tmpdir):
cluster = start_connected_cluster
dirpath = str(tmpdir)
script = .format(
address=cluster.address, checkpoint_dir=dirpath
)
run_string_as_driver_nonblocking(script)
# Wait until the right checkpoint is saved.
# The trai... | python/ray/tune/tests/test_cluster.py | 365 | @pytest.mark.skip(reason="Not very consistent.") | ray | {
"docstring": "\nimport time\nimport ray\nfrom ray import tune\n\nray.init(address=\"{address}\")\n\n\ntune.run(\n \"PG\",\n name=\"experiment\",\n config=dict(env=\"CartPole-v1\", framework=\"tf\"),\n stop=dict(training_iteration=10),\n local_dir=\"{checkpoint_dir}\",\n checkpoint_freq=1,\n max... | 124 | Python | 95 | e142be077f0c727ab11ba51ecaba9a98b7bfe474 | test_cluster.py | 128,591 | 55 | 204 | test_cluster_rllib_restore | https://github.com/ray-project/ray.git | [tune] Store sync config/checkpoint config in experiment, trial (#29019)
This is some clean-up required for future changes to the syncing/checkpointing behavior. At the moment we pass single attributes of these configs to the Experiment class, and then subsequently to the Trial class, from which it is passed on to the... | 396 | 1 | 28,755 | 15 |
3 | 15 | def predict_snli(net, vocab, premise, hypothesis):
premise = np.array(vocab[premise], ctx=d2l.try_gpu())
hypothesis = np.array(vocab[hypothesis], ctx=d2l.try_gpu())
label = np.argmax(net([premise.reshape((1, -1)),
hypothesis.reshape((1, -1))]), axis=1)
return 'entailment'... | d2l/mxnet.py | 183 | d2l-zh | {
"docstring": "Predict the logical relationship between the premise and hypothesis.\n\n Defined in :numref:`sec_natural-language-inference-attention`",
"language": "en",
"n_whitespaces": 14,
"n_words": 12,
"vocab_size": 11
} | 40 | Python | 31 | b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | mxnet.py | 158,223 | 7 | 104 | predict_snli | https://github.com/d2l-ai/d2l-zh.git | [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... | 97 | 0 | 37,391 | 15 | |
10 | 59 | def _prepare_output_docstrings(output_type, config_class, min_indent=None):
output_docstring = output_type.__doc__
# Remove the head of the docstring to keep the list of args only
lines = output_docstring.split("\n")
i = 0
while i < len(lines) and re.search(r"^\s*(Args|Parameters):\s*$", lines... | src/transformers/utils/doc.py | 784 | transformers | {
"docstring": "\n Prepares the return part of the docstring using `output_type`.\n \n Example:\n\n ```python\n >>> from transformers import {processor_class}, {model_class}\n >>> import torch\n\n >>> tokenizer = {processor_class}.from_pretrained(\"{checkpoint}\")\n >>> model = {model_class}.f... | 304 | Python | 165 | 4975002df50c472cbb6f8ac3580e475f570606ab | doc.py | 36,379 | 24 | 209 | _prepare_output_docstrings | https://github.com/huggingface/transformers.git | Reorganize file utils (#16264)
* Split file_utils in several submodules
* Fixes
* Add back more objects
* More fixes
* Who exactly decided to import that from there?
* Second suggestion to code with code review
* Revert wront move
* Fix imports
* Adapt all imports
* Adapt all imports everywh... | 513 | 0 | 6,603 | 16 | |
1 | 13 | def test_medium_does_not_exist(self) -> None:
# test for unknown medium
url = "/_synapse/admin/v1/threepid/publickey/users/unknown-key"
channel = self.make_request(
"GET",
url,
access_token=self.admin_user_tok,
)
self.assertEqual(404... | tests/rest/admin/test_user.py | 178 | synapse | {
"docstring": "Tests that both a lookup for a medium that does not exist and a user that\n doesn't exist with that third party ID returns a 404",
"language": "en",
"n_whitespaces": 32,
"n_words": 26,
"vocab_size": 19
} | 48 | Python | 28 | a3623af74e0af0d2f6cbd37b47dc54a1acd314d5 | test_user.py | 249,805 | 19 | 110 | test_medium_does_not_exist | https://github.com/matrix-org/synapse.git | Add an Admin API endpoint for looking up users based on 3PID (#14405) | 205 | 0 | 73,140 | 10 | |
1 | 2 | async def _async_poll(self) -> None:
| homeassistant/components/sonos/binary_sensor.py | 17 | core | {
"docstring": "Stub for abstract class implementation. Not a pollable attribute.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 5 | Python | 5 | 8a8ffa1c0844106a8827dd28b1d42792b366c5ee | binary_sensor.py | 308,638 | 2 | 8 | _async_poll | https://github.com/home-assistant/core.git | Add support for Sonos microphone binary_sensor (#63097)
Co-authored-by: J. Nick Koston <nick@koston.org> | 12 | 0 | 107,383 | 6 | |
1 | 7 | def argpartition(a, kth, axis=-1, kind='introselect', order=None):
return _wrapfunc(a, 'argpartition', kth, axis=axis, kind=kind, order=order)
| numpy/core/fromnumeric.py | 63 | numpy | {
"docstring": "\n Perform an indirect partition along the given axis using the\n algorithm specified by the `kind` keyword. It returns an array of\n indices of the same shape as `a` that index data along the given\n axis in partitioned order.\n\n .. versionadded:: 1.8.0\n\n Parameters\n --------... | 13 | Python | 12 | 95a7bb4746197a05fd23dbe39c7b3dbb105a18d9 | fromnumeric.py | 160,087 | 2 | 42 | argpartition | https://github.com/numpy/numpy.git | DOC: typo corrected in numpy.argpartition (#21201)
* DOC: numpy.argpartition typo corrected
Co-authored-by: Matti Picus <matti.picus@gmail.com> | 19 | 0 | 38,481 | 8 | |
1 | 5 | def get_ylim(self):
return tuple(self.viewLim.intervaly)
| lib/matplotlib/axes/_base.py | 27 | matplotlib | {
"docstring": "\n Return the y-axis view limits.\n\n Returns\n -------\n bottom, top : (float, float)\n The current y-axis limits in data coordinates.\n\n See Also\n --------\n .Axes.set_ylim\n set_ybound, get_ybound\n invert_yaxis, yaxis_inve... | 4 | Python | 4 | c6e43ff4cfd3cb583b30f9882d6228041edc0fd6 | _base.py | 107,579 | 2 | 15 | get_ylim | https://github.com/matplotlib/matplotlib.git | Fix ambiguous link targets in docs. | 18 | 0 | 22,826 | 9 | |
3 | 9 | def remove(self, key):
self._vertices.remove(key)
for f in self._forwards.pop(key):
self._backwards[f].remove(key)
for t in self._backwards.pop(key):
self._forwards[t].remove(key)
| .venv/lib/python3.8/site-packages/pip/_vendor/resolvelib/structs.py | 98 | transferlearning | {
"docstring": "Remove a vertex from the graph, disconnecting all edges from/to it.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | 14 | Python | 12 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | structs.py | 63,709 | 6 | 62 | remove | https://github.com/jindongwang/transferlearning.git | upd; format | 64 | 0 | 13,480 | 11 | |
3 | 27 | def adaptive_parzen_normal(args, history_mus, prior_mu, prior_sigma):
mus = np.append(history_mus, prior_mu)
order = np.argsort(mus)
mus = mus[order]
prior_index = np.searchsorted(mus, prior_mu)
if len(mus) == 1:
sigmas = np.asarray([prior_sigma])
elif len(mus) == 2:
sigmas... | nni/algorithms/hpo/tpe_tuner.py | 373 | nni | {
"docstring": "\n The \"Adaptive Parzen Estimator\" described in paper section 4.2, for normal distribution.\n\n Because TPE internally only supports categorical and normal distributed space (domain),\n this function is used for everything other than \"choice\" and \"randint\".\n\n Parameters\n ------... | 101 | Python | 65 | b52f7756fbcf6669dbe92e97e11415c4084cf881 | tpe_tuner.py | 111,911 | 21 | 249 | adaptive_parzen_normal | https://github.com/microsoft/nni.git | HPO doc (#4579) | 199 | 0 | 24,508 | 16 | |
1 | 26 | def test_tqdm_progress_bar_print_no_train(tqdm_write, tmpdir):
model = PrintModel()
bar = TQDMProgressBar()
trainer = Trainer(
default_root_dir=tmpdir,
num_sanity_val_steps=0,
limit_val_batches=1,
limit_test_batches=1,
limit_predict_batches=1,
max_steps=1... | tests/callbacks/test_tqdm_progress_bar.py | 183 | @mock.patch("builtins.print")
@mock.patch("pytorch_lightning.callbacks.progress.tqdm_progress.Tqdm.write") | lightning | {
"docstring": "Test that printing in the LightningModule redirects arguments to the progress bar without training.",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
} | 34 | Python | 32 | 97710406210a64f94b135500742165d40ef69cf8 | test_tqdm_progress_bar.py | 241,747 | 20 | 99 | test_tqdm_progress_bar_print_no_train | https://github.com/Lightning-AI/lightning.git | Add typing to `TQDMProgressBar` (#11369) | 132 | 1 | 69,681 | 11 |
1 | 9 | async def get_appservice_last_pos(self) -> int:
return await self.db_pool.simple_select_one_onecol(
table="appservice_stream_position",
retcol="stream_ordering",
keyvalues={},
desc="get_appservice_last_pos",
)
| synapse/storage/databases/main/appservice.py | 60 | synapse | {
"docstring": "\n Get the last stream ordering position for the appservice process.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 9
} | 13 | Python | 13 | 21eeacc99551febcddcef21db96a2bd82166fc7e | appservice.py | 248,735 | 10 | 34 | get_appservice_last_pos | https://github.com/matrix-org/synapse.git | Federation Sender & Appservice Pusher Stream Optimisations (#13251)
* Replace `get_new_events_for_appservice` with `get_all_new_events_stream`
The functions were near identical and this brings the AS worker closer
to the way federation senders work which can allow for multiple workers
to handle AS traffic.
* P... | 78 | 0 | 72,433 | 10 | |
1 | 14 | def test_from_estimator_not_fitted(pyplot):
regressor = Ridge()
with pytest.raises(NotFittedError, match="is not fitted yet."):
PredictionErrorDisplay.from_estimator(regressor, X, y)
@pytest.mark.parametrize("class_method", ["from_estimator", "from_predictions"])
@pytest.mark.parametrize("kind", ... | sklearn/metrics/_plot/tests/test_predict_error_display.py | 113 | @pytest.mark.parametrize("class_method", ["from_estimator", "from_predictions"])
@pytest.mark.parametrize("kind", ["actual_vs_predicted", "residual_vs_predicted"]) | scikit-learn | {
"docstring": "Check that we raise a `NotFittedError` when the passed regressor is not\n fit.",
"language": "en",
"n_whitespaces": 15,
"n_words": 13,
"vocab_size": 13
} | 20 | Python | 20 | 40d7d880eddaf3a9a5e37ba2a8206caf22744926 | test_predict_error_display.py | 261,659 | 4 | 33 | test_from_estimator_not_fitted | https://github.com/scikit-learn/scikit-learn.git | FEA add PredictionErrorDisplay (#18020)
Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> | 34 | 1 | 76,920 | 11 |
5 | 32 | def test_pagination_from_sync_and_messages(self):
channel = self._send_relation(RelationTypes.ANNOTATION, "m.reaction", "A")
self.assertEquals(200, channel.code, channel.json_body)
annotation_id = channel.json_body["event_id"]
# Send an event after the relation events.
s... | tests/rest/client/test_relations.py | 505 | synapse | {
"docstring": "Pagination tokens from /sync and /messages can be used to paginate /relations.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | 226 | Python | 111 | df36945ff0e4a293a9dac0da07e2c94256835b32 | test_relations.py | 246,307 | 39 | 289 | test_pagination_from_sync_and_messages | https://github.com/matrix-org/synapse.git | Support pagination tokens from /sync and /messages in the relations API. (#11952) | 681 | 0 | 71,142 | 13 | |
2 | 8 | def make_vcs_requirement_url(repo_url, rev, project_name, subdir=None):
# type: (str, str, str, Optional[str]) -> str
egg_project_name = project_name.replace("-", "_")
req = f'{repo_url}@{rev}#egg={egg_project_name}'
if subdir:
req += f'&subdirectory={subdir}'
return req
| .venv/lib/python3.8/site-packages/pip/_internal/vcs/versioncontrol.py | 80 | transferlearning | {
"docstring": "\n Return the URL for a VCS requirement.\n\n Args:\n repo_url: the remote VCS url, with any needed VCS prefix (e.g. \"git+\").\n project_name: the (unescaped) project name.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 25,
"vocab_size": 21
} | 27 | Python | 23 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | versioncontrol.py | 61,401 | 6 | 37 | make_vcs_requirement_url | https://github.com/jindongwang/transferlearning.git | upd; format | 52 | 0 | 12,547 | 10 | |
1 | 14 | def test_alter_value(self):
altered_raw_data = apply_changes_to_raw_data(
raw_data=self.raw_data,
block_path_str="char1",
operation=AlterBlockValueOperation(new_value="foo"),
streamfield=models.SampleModel.content,
)
self.assertEqual(alt... | wagtail/tests/streamfield_migrations/test_simple_structures.py | 181 | wagtail | {
"docstring": "Change the value of each `char1` block to `foo`\n\n Check whether the value of each `char1` block has changed to `foo`.\n Check whether the values of other blocks are intact.\n ",
"language": "en",
"n_whitespaces": 51,
"n_words": 30,
"vocab_size": 19
} | 18 | Python | 17 | ad65741b94f36fbe793cf15f0ab002482070cdb6 | test_simple_structures.py | 80,146 | 11 | 110 | test_alter_value | https://github.com/wagtail/wagtail.git | Add tests for streamfield migration helpers
Currently failing due to wagtail-factories being broken on Wagtail 4.1: https://github.com/wagtail/wagtail-factories/issues/65 | 111 | 0 | 17,024 | 13 | |
3 | 17 | def upgrade():
conn = op.get_bind()
is_sqlite = bool(conn.dialect.name == "sqlite")
if is_sqlite:
op.execute("PRAGMA foreign_keys=off")
with op.batch_alter_table('dag') as batch_op:
batch_op.alter_column(
'concurrency',
new_column_name='max_active_tasks',
... | airflow/migrations/versions/30867afad44a_rename_concurrency_column_in_dag_table_.py | 137 | airflow | {
"docstring": "Apply Rename concurrency column in dag table to max_active_tasks",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 28 | Python | 24 | 6e5c9c845f7f0975178dbeb76d4ccfe95d0ed803 | 30867afad44a_rename_concurrency_column_in_dag_table_.py | 45,122 | 14 | 75 | upgrade | https://github.com/apache/airflow.git | Fix some migrations (#21670)
In the xcom migration, there's a bad join. The clauses need to be wrapped in and_. And in both, for sqlite we need to temporarily suspend FK enforcement before dropping the tables. | 118 | 0 | 8,488 | 12 | |
1 | 2 | def try_except(f):
# pylint: disable=inconsistent-return-statements | gamestonk_terminal/decorators.py | 14 | OpenBBTerminal | {
"docstring": "Adds a try except block if the user is not in development mode\n\n Parameters\n ----------\n f: function\n The function to be wrapped\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 22,
"vocab_size": 21
} | 5 | Python | 5 | 006b3570b795215a17c64841110b649b03db9a98 | decorators.py | 281,227 | 4 | 17 | try_except | https://github.com/OpenBB-finance/OpenBBTerminal.git | Baseclass (#1141)
* A working decorator
* Basic intro
* Added more
* Refactor
* Refactor
* Cleaned code
* Simplified function (thanks Chavi)
* Small change
* Updating tests : fix issue with mock
* Updating tests : fix remaining mocks after merging
* Updating tests : black
* Cleaned up
... | 11 | 0 | 83,631 | 6 | |
6 | 28 | def feature_extra_checks(self, name):
assert isinstance(name, str)
d = self.feature_supported[name]
extra_checks = d.get("extra_checks", [])
if not extra_checks:
return []
self.dist_log("Testing extra checks for feature '%s'" % name, extra_checks)
fl... | numpy/distutils/ccompiler_opt.py | 267 | numpy | {
"docstring": "\n Return a list of supported extra checks after testing them against\n the compiler.\n\n Parameters\n ----------\n names : str\n CPU feature name in uppercase.\n ",
"language": "en",
"n_whitespaces": 77,
"n_words": 23,
"vocab_size": 23
} | 79 | Python | 59 | f404e9e92e87a3990712d723d5c562a89300ac01 | ccompiler_opt.py | 160,177 | 24 | 162 | feature_extra_checks | https://github.com/numpy/numpy.git | Add space after argument name | 311 | 0 | 38,549 | 13 | |
5 | 4 | def is_reachable(G, s, t):
| networkx/algorithms/tournament.py | 17 | networkx | {
"docstring": "Decides whether there is a path from `s` to `t` in the\n tournament.\n\n This function is more theoretically efficient than the reachability\n checks than the shortest path algorithms in\n :mod:`networkx.algorithms.shortest_paths`.\n\n The given graph **must** be a tournament, otherwise... | 4 | Python | 4 | 5a7985fc41bc0c686c035de43c66cf4fb5fcc94f | tournament.py | 176,547 | 5 | 54 | is_reachable | https://github.com/networkx/networkx.git | Added examples in tournament and tree functions (#5536)
* examples
* examples
* examples
* Example changed
* improved styling
* revised
* edge labels
* improved styling
* spacing
* error testing
* examples
* styling
* add_nodes removed
* spaceing
* spacing
* spacing
* ad... | 7 | 0 | 41,956 | 6 | |
1 | 9 | def forward(self, inputs, labels):
logits = self.nsp(inputs)
loss = F.cross_entropy(logits, labels)
return loss
| modules/image/text_to_image/disco_diffusion_ernievil_base/vit_b_16x/ernievil2/transformers/ernie_modeling.py | 48 | PaddleHub | {
"docstring": "\n Args:\n start_pos (optional, `Variable` of shape [batch_size]):\n token index of start of answer span in `context`\n end_pos (optional, `Variable` of shape [batch_size]):\n token index of end of answer span in `context`\n Returns:\n ... | 13 | Python | 11 | ffcde21305c61d950a9f93e57e6180c9a9665b87 | ernie_modeling.py | 50,263 | 4 | 30 | forward | https://github.com/PaddlePaddle/PaddleHub.git | add disco_diffusion_ernievil_base | 41 | 0 | 10,073 | 8 | |
1 | 4 | def identify(self, requirement_or_candidate):
# type: (Candidate | Requirement) -> str
return requirement_or_candidate.canonical_package_id
| lib/ansible/galaxy/dependency_resolution/providers.py | 22 | ansible | {
"docstring": "Given requirement or candidate, return an identifier for it.\n\n This is used to identify a requirement or candidate, e.g.\n whether two requirements should have their specifier parts\n (version ranges or pins) merged, whether two candidates would\n conflict with each other... | 12 | Python | 12 | 8b2e6285650ec42ec4a19075a8567047e8304ba2 | providers.py | 266,878 | 2 | 12 | identify | https://github.com/ansible/ansible.git | galaxy - Clean up type hints and imports. | 33 | 0 | 78,637 | 6 | |
6 | 17 | def detect_indentation(self) -> int:
_indentations = {
len(match.group(1))
for match in re.finditer(r"^( *)(.*)$", self.plain, flags=re.MULTILINE)
}
try:
indentation = (
reduce(gcd, [indent for indent in _indentations if not indent %... | pipenv/patched/notpip/_vendor/rich/text.py | 116 | pipenv | {
"docstring": "Auto-detect indentation of code.\n\n Returns:\n int: Number of spaces used to indent code.\n ",
"language": "en",
"n_whitespaces": 38,
"n_words": 13,
"vocab_size": 11
} | 41 | Python | 32 | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | text.py | 20,864 | 17 | 74 | detect_indentation | 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... | 153 | 0 | 3,602 | 16 | |
9 | 54 | def save_model(model, filepath, weights_format="h5"):
if not filepath.endswith(".keras"):
raise ValueError(
"Invalid filename: expected a `.keras` extension. "
f"Received: filepath={filepath}"
)
if weights_format == "h5" and h5py is None:
raise ImportError("h... | keras/saving/experimental/saving_lib.py | 521 | keras | {
"docstring": "Save a zip-archive representing a Keras model to the given filepath.\n\n The zip-based archive contains the following structure:\n\n - JSON-based configuration file (config.json): Records of model, layer, and\n other trackables' configuration.\n - NPZ-based trackable state files, found... | 181 | Python | 129 | e6f739a31247c43a86c37c33b0b8b2ba6be6a5f6 | saving_lib.py | 280,200 | 59 | 291 | save_model | https://github.com/keras-team/keras.git | - Add standalone weights file saving/loading functionality.
- Switch to in-memory, single write / single read archive saving for better performance.
- Remove ability to pick between zipping or not zipping a Keras saved artifact: it's always a zip archive now.
PiperOrigin-RevId: 483705728 | 770 | 0 | 83,285 | 17 | |
5 | 23 | def process_deferred_accounting(posting_date=None):
if not posting_date:
posting_date = today()
if not cint(
frappe.db.get_singles_value(
"Accounts Settings", "automatically_process_deferred_accounting_entry"
)
):
return
start_date = add_months(today(), -1)
end_date = add_days(today(), -1)
compan... | erpnext/accounts/deferred_revenue.py | 207 | erpnext | {
"docstring": "Converts deferred income/expense into income/expense\n\tExecuted via background jobs on every month end",
"language": "en",
"n_whitespaces": 11,
"n_words": 13,
"vocab_size": 12
} | 54 | Python | 43 | 494bd9ef78313436f0424b918f200dab8fc7c20b | deferred_revenue.py | 64,731 | 26 | 124 | process_deferred_accounting | https://github.com/frappe/erpnext.git | style: format code with black | 28 | 0 | 13,709 | 16 | |
1 | 21 | def test_disabled(self) -> None:
fake_oidc_server = self.helper.fake_oidc_server()
user = "john"
login_resp, grant = self.helper.login_via_oidc(
fake_oidc_server, user, with_sid=True
)
access_token: str = login_resp["access_token"]
self.helper.whoami... | tests/rest/client/test_auth.py | 163 | synapse | {
"docstring": "\n Receiving a logout token should do nothing if it is disabled in the config\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 14,
"vocab_size": 14
} | 47 | Python | 39 | cc3a52b33df72bb4230367536b924a6d1f510d36 | test_auth.py | 249,779 | 15 | 100 | test_disabled | https://github.com/matrix-org/synapse.git | Support OIDC backchannel logouts (#11414)
If configured an OIDC IdP can log a user's session out of
Synapse when they log out of the identity provider.
The IdP sends a request directly to Synapse (and must be
configured with an endpoint) when a user logs out. | 149 | 0 | 73,122 | 9 | |
2 | 2 | def test_literal_slice_boxing(self):
| numba/tests/test_slices.py | 13 | numba | {
"docstring": "\n Tests that a literal slice can be used\n as an argument to a JIT function.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 15,
"vocab_size": 14
} | 2 | Python | 2 | 0294ef37a19ecd995823678462faedbe10a09b22 | test_slices.py | 161,979 | 13 | 77 | test_literal_slice_boxing | https://github.com/numba/numba.git | support for boxing SliceLiteral type | 9 | 0 | 39,117 | 6 | |
1 | 4 | def _expects_training_arg(self):
return self._call_spec.expects_training_arg
| keras/engine/base_layer.py | 22 | keras | {
"docstring": "Whether the call function uses 'training' as a parameter.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 4 | Python | 4 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | base_layer.py | 270,679 | 2 | 12 | _expects_training_arg | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 18 | 0 | 80,522 | 7 | |
1 | 5 | def __array_wrap__(self, result, context=None):
# TODO: This is very inefficient. __array__ and as_matrix have been
# changed to call the more efficient to_numpy, but this has been left
# unchanged since we are not sure of its purpose.
return self._default_to_pandas("__array_wra... | modin/pandas/base.py | 43 | modin | {
"docstring": "\n Get called after a ufunc and other functions.\n\n Parameters\n ----------\n result : np.ndarray\n The result of the ufunc or other function called on the NumPy array\n returned by __array__.\n context : tuple of (func, tuple, int), optional\n... | 42 | Python | 38 | 605efa618e7994681f57b11d04d417f353ef8d50 | base.py | 153,621 | 2 | 25 | __array_wrap__ | https://github.com/modin-project/modin.git | DOCS-#3099: Fix `BasePandasDataSet` docstrings warnings (#4333)
Co-authored-by: Yaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Alexander Myskov <alexander.myskov@intel.com> | 77 | 0 | 35,502 | 8 | |
2 | 8 | def get_primary_key_column(self, cursor, table_name):
cursor.execute(
,
[table_name],
)
row = cursor.fetchone()
return self.identifier_converter(row[0]) if row else None
| django/db/backends/oracle/introspection.py | 63 | django | {
"docstring": "\n SELECT\n cols.column_name\n FROM\n user_constraints,\n user_cons_columns cols\n WHERE\n user_constraints.constraint_name = cols.constraint_name AND\n user_constraints.constraint_type = 'P' AN... | 17 | Python | 16 | c5cd8783825b5f6384417dac5f3889b4210b7d08 | introspection.py | 203,224 | 18 | 41 | get_primary_key_column | https://github.com/django/django.git | 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 ...
""",
... | 66 | 0 | 50,258 | 9 | |
3 | 8 | def get_extra_loggers(self) -> List[str]:
return (
[name.strip() for name in self.extra_loggers.split(",")]
if self.extra_loggers
else []
)
| src/prefect/utilities/settings.py | 64 | prefect | {
"docstring": "\n Parse the `extra_loggers` CSV and trim whitespace from logger names\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
} | 16 | Python | 16 | a452d8b8917000774302411a7aeb949f7e326814 | settings.py | 53,193 | 9 | 39 | get_extra_loggers | https://github.com/PrefectHQ/prefect.git | Strip logger name to prevent accidental spaces | 70 | 0 | 10,735 | 12 | |
3 | 16 | def _get_input_from_iterator(iterator, model):
next_element = iterator.get_next()
# `len(nest.flatten(x))` is going to not count empty elements such as {}.
# len(nest.flatten([[0,1,2], {}])) is 3 and not 4. The `next_element` is
# going to get flattened in `_prepare_feed_values` to work around t... | keras/distribute/distributed_training_utils_v1.py | 176 | keras | {
"docstring": "Get elements from the iterator and verify the input shape and type.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 10
} | 115 | Python | 67 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | distributed_training_utils_v1.py | 270,328 | 17 | 108 | _get_input_from_iterator | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 215 | 0 | 80,431 | 12 | |
7 | 28 | def _get_target_nodes(self) -> List[Tuple[str, str]]:
location = self._config.location
target_nodes = get_all_node_ids()
if location == DeploymentMode.NoServer:
return []
if location == DeploymentMode.HeadOnly:
head_node_resource_key = get_current_node_... | python/ray/serve/http_state.py | 235 | ray | {
"docstring": "Return the list of (id, resource_key) to deploy HTTP servers on.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | 101 | Python | 72 | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | http_state.py | 130,910 | 26 | 137 | _get_target_nodes | https://github.com/ray-project/ray.git | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 426 | 0 | 29,422 | 16 | |
3 | 9 | async def cancel_triggers(self):
while self.to_cancel:
trigger_id = self.to_cancel.popleft()
if trigger_id in self.triggers:
# We only delete if it did not exit already
self.triggers[trigger_id]["task"].cancel()
await asyncio.sleep(0)
| airflow/jobs/triggerer_job.py | 83 | airflow | {
"docstring": "\n Drain the to_cancel queue and ensure all triggers that are not in the\n DB are cancelled, so the cleanup job deletes them.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 22,
"vocab_size": 19
} | 25 | Python | 23 | c20ad79b40ea2b213f6dca221221c6dbd55bd08f | triggerer_job.py | 43,650 | 6 | 47 | cancel_triggers | https://github.com/apache/airflow.git | Rename `to_delete` to `to_cancel` in TriggerRunner (#20658)
The queue's purpose is to track triggers that need to be canceled. The language `to_delete` was a bit confusing because for one it does not actually delete them but cancel them. The deletion work is actually in `cleanup_finished_triggers`. It seems that thi... | 102 | 0 | 8,018 | 14 | |
2 | 5 | def set_url_path(self, parent):
if parent:
self.url_path = parent.url_path + self.slug + "/"
else:
# a page without a parent is the tree root, which always has a url_path of '/'
self.url_path = "/"
return self.url_path
| wagtail/core/models/__init__.py | 63 | wagtail | {
"docstring": "\n Populate the url_path field based on this page's slug and the specified parent page.\n (We pass a parent in here, rather than retrieving it via get_parent, so that we can give\n new unsaved pages a meaningful URL when previewing them; at that point the page has not\n bee... | 35 | Python | 28 | d10f15e55806c6944827d801cd9c2d53f5da4186 | __init__.py | 73,844 | 6 | 35 | set_url_path | https://github.com/wagtail/wagtail.git | Reformat with black | 96 | 0 | 16,139 | 11 | |
2 | 6 | def order(self):
if self.characteristic == 0:
raise NotImplementedError("Still not implemented")
return len(self.points())
| sympy/ntheory/elliptic_curve.py | 49 | sympy | {
"docstring": "\n Number of points in Finite field.\n\n Examples\n ========\n\n >>> from sympy.ntheory.elliptic_curve import EllipticCurve\n >>> e2 = EllipticCurve(1, 0, modulus=19)\n >>> e2.order\n 19\n\n ",
"language": "en",
"n_whitespaces": 79,
"n_word... | 12 | Python | 12 | 8fc835bcd86ea080644783a363e47adca6dff3a7 | elliptic_curve.py | 200,253 | 4 | 27 | order | https://github.com/sympy/sympy.git | Remove redundant list calls | 44 | 0 | 49,567 | 10 | |
1 | 33 | async def test_fossil_energy_consumption(hass, hass_ws_client, recorder_mock):
now = dt_util.utcnow()
later = dt_util.as_utc(dt_util.parse_datetime("2022-09-01 00:00:00"))
await async_setup_component(hass, "history", {})
await async_setup_component(hass, "sensor", {})
await async_recorder_bloc... | tests/components/energy/test_websocket_api.py | 1,475 | core | {
"docstring": "Test fossil_energy_consumption with co2 sensor data.",
"language": "en",
"n_whitespaces": 5,
"n_words": 6,
"vocab_size": 6
} | 397 | Python | 139 | 5d7756885be0fd044d86e60ec0d2639f9d114ea3 | test_websocket_api.py | 288,579 | 183 | 904 | test_fossil_energy_consumption | https://github.com/home-assistant/core.git | Normalize to kWh when handling WS energy/fossil_energy_consumption (#79649)
* Normalize to kWh when handling WS energy/fossil_energy_consumption
* Improve test | 1,806 | 0 | 87,736 | 15 | |
7 | 54 | def test_application_services_receive_bursts_of_to_device(self):
# Register two application services with exclusive interest in a user
interested_appservices = []
for _ in range(2):
appservice = self._register_application_service(
namespaces={
... | tests/handlers/test_appservice.py | 514 | synapse | {
"docstring": "\n Test that when a user sends >100 to-device messages at once, any\n interested AS's will receive them in separate transactions.\n\n Also tests that uninterested application services do not receive messages.\n ",
"language": "en",
"n_whitespaces": 59,
"n_words": 30,
... | 373 | Python | 199 | 64ec45fc1b0856dc7daacca7d3ab75d50bd89f84 | test_appservice.py | 246,233 | 64 | 308 | test_application_services_receive_bursts_of_to_device | https://github.com/matrix-org/synapse.git | Send to-device messages to application services (#11215)
Co-authored-by: Richard van der Hoff <1389908+richvdh@users.noreply.github.com> | 1,357 | 0 | 71,114 | 17 | |
1 | 2 | def imaginaryaxis(self):
return self["imaginaryaxis"]
| packages/python/plotly/plotly/graph_objs/layout/_smith.py | 22 | plotly.py | {
"docstring": "\n The 'imaginaryaxis' property is an instance of Imaginaryaxis\n that may be specified as:\n - An instance of :class:`plotly.graph_objs.layout.smith.Imaginaryaxis`\n - A dict of string/value properties that will be passed\n to the Imaginaryaxis constructor\n... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _smith.py | 231,700 | 2 | 11 | imaginaryaxis | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 63,144 | 7 | |
2 | 6 | def vf2pp_is_isomorphic(G1, G2, node_label=None, default_label=None):
if vf2pp_isomorphism(G1, G2, node_label, default_label) is not None:
return True
return False
| networkx/algorithms/isomorphism/vf2pp.py | 51 | networkx | {
"docstring": "Examines whether G1 and G2 are isomorphic.\n\n Parameters\n ----------\n G1, G2 : NetworkX Graph or MultiGraph instances.\n The two graphs to check for isomorphism.\n\n node_label : str, optional\n The name of the node attribute to be used when comparing nodes.\n The d... | 17 | Python | 15 | a796f526c7ce6a7f182aee4b81b8499feabe1a45 | vf2pp.py | 177,286 | 4 | 35 | vf2pp_is_isomorphic | https://github.com/networkx/networkx.git | VF2++ for Directed Graphs (#5972)
Modify vf2pp implementation to support directed graphs. Updates all helper
functions and state/parameter objects to account for in/out degree.
Includes other changes such as renaming the keyword argument from
node_labels to node_label to better reflect the fact that the label kwa... | 33 | 0 | 42,325 | 8 | |
1 | 7 | def commit_sha():
return run_command(
['git', 'rev-parse', 'HEAD'], capture_output=True, text=True, check=False
).stdout.strip()
| dev/breeze/src/airflow_breeze/utils/run_utils.py | 58 | airflow | {
"docstring": "Returns commit SHA of current repo. Cached for various usages.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 11 | Python | 11 | 4ffd4f09532fceb67675fce4c1f5cd383eff992e | run_utils.py | 46,790 | 4 | 34 | commit_sha | https://github.com/apache/airflow.git | Prepare Breeze2 for prime time :) (#22713)
This is a review and clean-up for all the parameters and
commands for Breeze2 in order to prepare it for being
used by the contribugors.
There are various small fixes here and there, removal
of duplicated code, refactoring and moving code around
as well as cleanup and ... | 27 | 0 | 8,994 | 12 | |
11 | 23 | def _copy_source_without_wildcard(self, hook, prefix):
objects = hook.list(self.source_bucket, prefix=prefix, delimiter=self.delimiter)
if not self.replace:
# If we are not replacing, ignore files already existing in source buckets
objects = self._ignore_existing_files(... | airflow/providers/google/cloud/transfers/gcs_to_gcs.py | 296 | airflow | {
"docstring": "\n For source_objects with no wildcard, this operator would first list\n all files in source_objects, using provided delimiter if any. Then copy\n files from source_objects to destination_object and rename each source\n file.\n\n Example 1:\n\n\n The following... | 111 | Python | 77 | ec84ffe71cfa8246155b9b4cb10bf2167e75adcf | gcs_to_gcs.py | 42,927 | 23 | 185 | _copy_source_without_wildcard | https://github.com/apache/airflow.git | Fix GCSToGCSOperator cannot copy a single file/folder without copying other files/folders with that prefix (#24039) | 413 | 0 | 7,766 | 14 | |
21 | 39 | def _encode_files(files, data):
if not files:
raise ValueError("Files must be provided.")
elif isinstance(data, basestring):
raise ValueError("Data must not be a string.")
new_fields = []
fields = to_key_val_list(data or {})
files = to_key_val_li... | pipenv/patched/pip/_vendor/requests/models.py | 497 | pipenv | {
"docstring": "Build the body for a multipart/form-data request.\n\n Will successfully encode files when passed as a dict or a list of\n tuples. Order is retained if data is a list of tuples but arbitrary\n if parameters are supplied as a dict.\n The tuples may be 2-tuples (filename, file... | 184 | Python | 106 | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | models.py | 22,102 | 49 | 313 | _encode_files | https://github.com/pypa/pipenv.git | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | 905 | 0 | 4,180 | 18 | |
1 | 2 | def sector(self):
return self["sector"]
| packages/python/plotly/plotly/graph_objs/layout/_polar.py | 22 | plotly.py | {
"docstring": "\n Sets angular span of this polar subplot with two angles (in\n degrees). Sector are assumed to be spanned in the\n counterclockwise direction with 0 corresponding to rightmost\n limit of the polar subplot.\n\n The 'sector' property is an info ar... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _polar.py | 231,632 | 2 | 11 | sector | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 63,076 | 7 |
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