id int64 20 338k | vocab_size int64 2 671 | ast_levels int64 4 32 | nloc int64 1 451 | n_ast_nodes int64 12 5.6k | n_identifiers int64 1 186 | n_ast_errors int64 0 10 | n_words int64 2 2.17k | n_whitespaces int64 2 13.8k | fun_name stringlengths 2 73 | commit_message stringlengths 51 15.3k | url stringlengths 31 59 | code stringlengths 51 31k | ast_errors stringlengths 0 1.46k | token_counts int64 6 3.32k | file_name stringlengths 5 56 | language stringclasses 1
value | path stringlengths 7 134 | commit_id stringlengths 40 40 | repo stringlengths 3 28 | complexity int64 1 153 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
294,047 | 11 | 8 | 4 | 45 | 6 | 0 | 12 | 33 | channels | Seperate emonitor extra_state_attributes into their own sensors (#68479) | https://github.com/home-assistant/core.git | def channels(self) -> dict[int, EmonitorChannel]:
channels: dict[int, EmonitorChannel] = self.emonitor_status.channels
return channels
| 29 | sensor.py | Python | homeassistant/components/emonitor/sensor.py | cb011570e81c2e9fcbf39e30b76dd9f441ce5264 | core | 1 | |
160,620 | 225 | 21 | 67 | 908 | 57 | 0 | 421 | 1,175 | in1d | TST: Extend np.in1d tests to old algorithm
- Add flag ``_slow_integer`` to np.isin/np.in1d to force the use of the
old isin/in1d algorithm for integers. | https://github.com/numpy/numpy.git | def in1d(ar1, ar2, assume_unique=False, invert=False, _slow_integer=None):
# Ravel both arrays, behavior for the first array could be different
ar1 = np.asarray(ar1).ravel()
ar2 = np.asarray(ar2).ravel()
# Ensure that iteration through object arrays yields size-1 arrays
if ar2.dtype == object:... | 576 | arraysetops.py | Python | numpy/lib/arraysetops.py | d6437066f27f81c4a78fb377ef1c61b4969f8159 | numpy | 21 | |
299,430 | 45 | 17 | 21 | 207 | 32 | 0 | 57 | 220 | test_change_toggle_property | Insteon Device Control Panel (#70834)
Co-authored-by: Paulus Schoutsen <paulus@home-assistant.io> | https://github.com/home-assistant/core.git | async def test_change_toggle_property(hass, hass_ws_client, kpl_properties_data):
ws_client, devices = await _setup(
hass, hass_ws_client, "33.33.33", kpl_properties_data
)
device = devices["33.33.33"]
prop_name = f"{TOGGLE_BUTTON}_c"
toggle_prop = device.configuration[prop_name]
as... | 125 | test_api_properties.py | Python | tests/components/insteon/test_api_properties.py | a9ca774e7ed1d8fe502a53d5b765c1d9b393a524 | core | 1 | |
262,688 | 13 | 8 | 6 | 62 | 8 | 0 | 23 | 65 | _mask_lengths | Adding OverFlow (#2183)
* Adding encoder
* currently modifying hmm
* Adding hmm
* Adding overflow
* Adding overflow setting up flat start
* Removing runs
* adding normalization parameters
* Fixing models on same device
* Training overflow and plotting evaluations
* Adding inference
* At t... | https://github.com/coqui-ai/TTS.git | def _mask_lengths(mel_lens, log_c, log_alpha_scaled):
mask_log_c = sequence_mask(mel_lens)
log_c = log_c * mask_log_c
mask_log_alpha_scaled = mask_log_c.unsqueeze(2)
log_alpha_scaled = log_alpha_scaled * mask_log_alpha_scaled
return log_c, log_alpha_scaled
| 38 | neural_hmm.py | Python | TTS/tts/layers/overflow/neural_hmm.py | 3b8b105b0d6539ac12972de94e0b2a5077fa1ce2 | TTS | 1 | |
111,516 | 48 | 12 | 18 | 336 | 18 | 0 | 77 | 155 | test_kb_set_entities | Refactor KB for easier customization (#11268)
* Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups.
* Fix tests. Add distinction w.r.t. batch size.
* Remove redundant and add new comments.
* Adjust comments. Fix var... | https://github.com/explosion/spaCy.git | def test_kb_set_entities(nlp):
v = [5, 6, 7, 8]
v1 = [1, 1, 1, 0]
v2 = [2, 2, 2, 3]
kb1 = InMemoryLookupKB(vocab=nlp.vocab, entity_vector_length=4)
kb1.set_entities(["E0"], [1], [v])
assert kb1.get_entity_strings() == ["E0"]
kb1.set_entities(["E1", "E2"], [1, 9], [v1, v2])
assert se... | 204 | test_entity_linker.py | Python | spacy/tests/pipeline/test_entity_linker.py | 1f23c615d7a7326ca5a38a7d768b8b70caaa0e17 | spaCy | 1 | |
245,831 | 95 | 12 | 38 | 488 | 35 | 1 | 181 | 289 | eiou_loss | [Feats]: support EIoU Loss (#9086)
* add eiou impl
* update docstring
* correct docstring | https://github.com/open-mmlab/mmdetection.git | def eiou_loss(pred, target, smooth_point=0.1, eps=1e-7):
r
px1, py1, px2, py2 = pred[:, 0], pred[:, 1], pred[:, 2], pred[:, 3]
tx1, ty1, tx2, ty2 = target[:, 0], target[:, 1], target[:, 2], target[:, 3]
# extent top left
ex1 = torch.min(px1, tx1)
ey1 = torch.min(py1, ty1)
# intersection co... | @MODELS.register_module() | 326 | iou_loss.py | Python | mmdet/models/losses/iou_loss.py | 4510c77a48b264ea12389ecf766604ed1b04b694 | mmdetection | 1 |
175,193 | 32 | 10 | 8 | 111 | 15 | 0 | 37 | 69 | stdev | bpo-46257: Convert statistics._ss() to a single pass algorithm (GH-30403) | https://github.com/python/cpython.git | def stdev(data, xbar=None):
T, ss, n = _ss(data, xbar)
if n < 2:
raise StatisticsError('stdev requires at least two data points')
mss = ss / (n - 1)
if issubclass(T, Decimal):
return _decimal_sqrt_of_frac(mss.numerator, mss.denominator)
return _float_sqrt_of_frac(mss.numerator, ... | 71 | statistics.py | Python | Lib/statistics.py | 43aac29cbbb8a963a22c334b5b795d1e43417d6b | cpython | 3 | |
300,191 | 24 | 11 | 14 | 146 | 11 | 0 | 41 | 95 | test_mute_volume | Add ws66i core integration (#56094)
* Add ws66i core integration
* Remove all ws66i translations
* Update ws66i unit tests to meet minimum code coverage
* Update ws66i based on @bdraco review
* General improvements after 2nd PR review
* Disable entities if amp shutoff, set default source names, set 30se... | https://github.com/home-assistant/core.git | async def test_mute_volume(hass):
ws66i = MockWs66i()
await _setup_ws66i(hass, ws66i)
await _call_media_player_service(
hass, SERVICE_VOLUME_SET, {"entity_id": ZONE_1_ID, "volume_level": 0.5}
)
await _call_media_player_service(
hass, SERVICE_VOLUME_MUTE, {"entity_id": ZONE_1_ID... | 90 | test_media_player.py | Python | tests/components/ws66i/test_media_player.py | 5e737bfe4fbc5a724f5fdf04ea9319c2224cb114 | core | 1 | |
22,057 | 88 | 13 | 25 | 359 | 40 | 0 | 126 | 435 | handle_401 | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | https://github.com/pypa/pipenv.git | def handle_401(self, r, **kwargs):
# If response is not 4xx, do not auth
# See https://github.com/psf/requests/issues/3772
if not 400 <= r.status_code < 500:
self._thread_local.num_401_calls = 1
return r
if self._thread_local.pos is not None:
... | 221 | auth.py | Python | pipenv/patched/pip/_vendor/requests/auth.py | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | pipenv | 5 | |
270,117 | 49 | 14 | 26 | 300 | 21 | 0 | 77 | 244 | _kernel_constraint | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def _kernel_constraint(self, kernel):
padding = backend.constant([[1, 1], [1, 1]], dtype="int32")
kernel_shape = backend.shape(kernel)[0]
start = backend.cast(kernel_shape / 2, "int32")
kernel_new = backend.switch(
backend.cast(tf.math.floormod(kernel_shape, 2), "b... | 246 | constraints.py | Python | keras/constraints.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 1 | |
197,380 | 79 | 17 | 29 | 463 | 49 | 0 | 120 | 261 | permutedims | PermuteDims and permutedims now have an easier API based on index orders. The corresponding permutation is then derived internally | https://github.com/sympy/sympy.git | def permutedims(expr, perm=None, index_order_old=None, index_order_new=None):
from sympy.tensor.array import SparseNDimArray
from sympy.tensor.array.expressions.array_expressions import _ArrayExpr
from sympy.tensor.array.expressions.array_expressions import _CodegenArrayAbstract
from sympy.tensor.... | 312 | arrayop.py | Python | sympy/tensor/array/arrayop.py | 34d9ba9bd176605cb60acafc906a36607cd76061 | sympy | 9 | |
155,114 | 19 | 12 | 15 | 95 | 14 | 0 | 22 | 75 | _get | FIX-#5187: Fixed RecursionError in OmnisciLaunchParameters.get() (#5199)
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com> | https://github.com/modin-project/modin.git | def _get(cls) -> dict:
custom_parameters = super().get()
result = cls.default.copy()
result.update(
{key.replace("-", "_"): value for key, value in custom_parameters.items()}
)
return result
| 55 | envvars.py | Python | modin/config/envvars.py | c51ab405efec920dbb4baa2e2389409df04e8d43 | modin | 2 | |
156,090 | 10 | 8 | 3 | 44 | 7 | 0 | 12 | 33 | to_csv | absolufy-imports - No relative - PEP8 (#8796)
Conversation in https://github.com/dask/distributed/issues/5889 | https://github.com/dask/dask.git | def to_csv(self, filename, **kwargs):
from dask.dataframe.io import to_csv
return to_csv(self, filename, **kwargs)
| 29 | core.py | Python | dask/dataframe/core.py | cccb9d8d8e33a891396b1275c2448c352ef40c27 | dask | 1 | |
146,622 | 63 | 13 | 26 | 181 | 17 | 0 | 86 | 243 | preprocess_datasets | [ml] Trainer implementation (#22969)
Implementation for base Trainer
Co-authored-by: Eric Liang <ekhliang@gmail.com>
Co-authored-by: Richard Liaw <rliaw@berkeley.edu> | https://github.com/ray-project/ray.git | def preprocess_datasets(self) -> None:
# Evaluate all datasets.
self.datasets = {k: d() if callable(d) else d for k, d in self.datasets.items()}
if self.preprocessor:
train_dataset = self.datasets.get(TRAIN_DATASET_KEY, None)
if train_dataset and not self.prepro... | 110 | trainer.py | Python | python/ray/ml/trainer.py | 2548083dcb3928fce145ab75976c7aecbb8a0d51 | ray | 7 | |
110,061 | 16 | 9 | 4 | 68 | 11 | 0 | 18 | 46 | clip_to_bbox | Simplify some patches path definitions.
- When a Path ends with a CLOSEPOLY, it is not necessary to put a LINETO
to the closing position before it (in fact that can result in an
incorrect line join at that position), and the xy position associated
with the CLOSEPOLY can just be (0, 0), as it is irrelevant.
- For... | https://github.com/matplotlib/matplotlib.git | def clip_to_bbox(self, bbox, inside=True):
verts = _path.clip_path_to_rect(self, bbox, inside)
paths = [Path(poly) for poly in verts]
return self.make_compound_path(*paths)
| 44 | path.py | Python | lib/matplotlib/path.py | 73622a0173916bfcb4cb7b9b393929be025e18c9 | matplotlib | 2 | |
104,904 | 13 | 11 | 16 | 96 | 13 | 0 | 14 | 53 | get_all_exported_dataset_infos | Add API code examples for Builder classes (#4313)
* 📝 add examples for builder classes
* 📝 apply quentin review | https://github.com/huggingface/datasets.git | def get_all_exported_dataset_infos(cls) -> dict:
dset_infos_file_path = os.path.join(cls.get_imported_module_dir(), config.DATASETDICT_INFOS_FILENAME)
if os.path.exists(dset_infos_file_path):
return DatasetInfosDict.from_directory(cls.get_imported_module_dir())
return {}
| 50 | builder.py | Python | src/datasets/builder.py | d1d4f1065fd4ab91b2c8682643dbd12f86d66fcd | datasets | 2 | |
256,959 | 9 | 8 | 3 | 38 | 6 | 0 | 9 | 18 | enable_telemetry | Add basic telemetry features (#2314)
* add basic telemetry features
* change pipeline_config to _component_config
* Update Documentation & Code Style
* add super().__init__() calls to error classes
* make posthog mock work with python 3.7
* Update Documentation & Code Style
* update link to docs web ... | https://github.com/deepset-ai/haystack.git | def enable_telemetry():
os.environ[HAYSTACK_TELEMETRY_ENABLED] = "True"
logger.info("Telemetry has been enabled.")
| 19 | telemetry.py | Python | haystack/telemetry.py | ac5617e757e9ace6f30b7291686d9dbbc339f433 | haystack | 1 | |
105,813 | 49 | 11 | 13 | 143 | 14 | 0 | 59 | 175 | __add__ | refactor: replace AssertionError with more meaningful exceptions (#5074) (#5079)
* refactor: replace AssertionError with more meaningful exceptions (#5074)
* refactor: change FileNotFoundError to ValueError (#5074)
Co-authored-by: Mario Šaško <mariosasko777@gmail.com>
Co-authored-by: Mario Šaško <mariosasko77... | https://github.com/huggingface/datasets.git | def __add__(self, other):
if not isinstance(other, ReadInstruction):
msg = "ReadInstruction can only be added to another ReadInstruction obj."
raise TypeError(msg)
self_ris = self._relative_instructions
other_ris = other._relative_instructions # pylint: disable=... | 86 | arrow_reader.py | Python | src/datasets/arrow_reader.py | 31d6ba08a4dd4eb0cc763ed6c20423258ccbdee8 | datasets | 5 | |
156,973 | 34 | 10 | 8 | 128 | 16 | 0 | 42 | 69 | test_direct_deferral_wrapping_override | Added `flake8-bugbear` to `pre-commit` hooks (#9457) | https://github.com/dask/dask.git | def test_direct_deferral_wrapping_override():
a = da.from_array(np.arange(4))
b = WrappedArray(np.arange(4))
assert a.__add__(b) is NotImplemented
# Note: remove dask_graph to be able to wrap b in a dask array
b.__dask_graph__ = None
res = a + da.from_array(b)
assert isinstance(res, da.... | 79 | test_dispatch.py | Python | dask/array/tests/test_dispatch.py | 5f11ba94cd5b1e0284c5246c4583e3a898d6447d | dask | 1 |
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