complexity int64 1 139 | fun_name stringlengths 1 80 | code stringlengths 101 62.2k | commit_id stringlengths 40 40 | ast_errors stringlengths 0 3.11k | ast_levels int64 6 36 | file_name stringlengths 5 79 | n_ast_nodes int64 17 19.2k | commit_message stringlengths 3 15.3k | d_id int64 12 121k | n_ast_errors int64 0 9 | n_whitespaces int64 4 10.8k | token_counts int64 5 3.06k | vocab_size int64 4 1.11k | id int64 20 338k | n_words int64 4 4.82k | repo stringlengths 3 22 | n_identifiers int64 2 176 | path stringlengths 7 134 | language stringclasses 1
value | nloc int64 1 413 | documentation dict | url stringlengths 31 59 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4 | spatial_3d_padding | def spatial_3d_padding(x, padding=((1, 1), (1, 1), (1, 1)), data_format=None):
assert len(padding) == 3
assert len(padding[0]) == 2
assert len(padding[1]) == 2
assert len(padding[2]) == 2
if data_format is None:
data_format = image_data_format()
if data_format not in {"channels_firs... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | @keras_export("keras.backend.stack")
@tf.__internal__.dispatch.add_dispatch_support
@doc_controls.do_not_generate_docs | 13 | backend.py | 396 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 80,148 | 1 | 262 | 259 | 50 | 269,517 | 83 | keras | 19 | keras/backend.py | Python | 49 | {
"docstring": "Pads 5D tensor with zeros along the depth, height, width dimensions.\n\n Pads these dimensions with respectively\n \"padding[0]\", \"padding[1]\" and \"padding[2]\" zeros left and right.\n\n For 'channels_last' data_format,\n the 2nd, 3rd and 4th dimension will be padded.\n For 'channel... | https://github.com/keras-team/keras.git |
2 | list_local | def list_local():
result = []
for dist_name in get_hub_packages_dir().glob(r'*/v*.dist-info'):
result.append(dist_name)
return result
| a5fd192b186c66aa983137ca3a179caac7f6b786 | 9 | hubapi.py | 53 | feat: optimize create hub root (#4388) | 2,043 | 0 | 31 | 30 | 11 | 11,454 | 12 | jina | 6 | jina/hubble/hubapi.py | Python | 5 | {
"docstring": "List the locally-available executor packages.\n\n :return: the list of local executors (if found)\n ",
"language": "en",
"n_whitespaces": 19,
"n_words": 13,
"vocab_size": 12
} | https://github.com/jina-ai/jina.git | |
1 | test_render_mention_stream_api | def test_render_mention_stream_api(self) -> None:
content = "This mentions #**Denmark** and @**King Hamlet**."
result = self.api_post(
self.example_user("othello"),
"/api/v1/messages/render",
dict(content=content),
)
response_dict = self.asser... | a142fbff85302c5e3acb2e204eca2e9c75dbc74b | 12 | test_markdown.py | 149 | tests: Refactor away result.json() calls with helpers.
Signed-off-by: Zixuan James Li <p359101898@gmail.com> | 17,769 | 0 | 161 | 78 | 36 | 84,081 | 43 | zulip | 15 | zerver/tests/test_markdown.py | Python | 15 | {
"docstring": "Determines whether we're correctly passing the realm context",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/zulip/zulip.git | |
4 | strip_accents_unicode | def strip_accents_unicode(s):
try:
# If `s` is ASCII-compatible, then it does not contain any accented
# characters and we can avoid an expensive list comprehension
s.encode("ASCII", errors="strict")
return s
except UnicodeEncodeError:
normalized = unicodedata.normal... | c925b7e24c4b58e7191eec935d724e23d351c58b | 15 | text.py | 97 | DOC Ensures that strip_accents_unicode passes numpydoc (#24232)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> | 76,422 | 0 | 95 | 54 | 40 | 260,694 | 44 | scikit-learn | 11 | sklearn/feature_extraction/text.py | Python | 7 | {
"docstring": "Transform accentuated unicode symbols into their simple counterpart.\n\n Warning: the python-level loop and join operations make this\n implementation 20 times slower than the strip_accents_ascii basic\n normalization.\n\n Parameters\n ----------\n s : str\n The string to stri... | https://github.com/scikit-learn/scikit-learn.git | |
1 | test_default_float_converter_exception | def test_default_float_converter_exception(self):
c = TextIO("qrs tuv") # Invalid values for default float converter
with pytest.raises(ValueError,
match="could not convert string 'qrs' to float64"):
np.loadtxt(c)
| b8c82404855d317a9ac77b4743d3db39f009c6aa | 11 | test_io.py | 58 | TST: Fixup current loadtxt tests for changes | 38,416 | 0 | 71 | 30 | 23 | 159,748 | 23 | numpy | 10 | numpy/lib/tests/test_io.py | Python | 5 | {
"docstring": "\n Ensure that the exception message raised during failed floating point\n conversion is correct. Regression test related to gh-19598.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 18
} | https://github.com/numpy/numpy.git | |
5 | _check_axes_shape | def _check_axes_shape(self, axes, axes_num=None, layout=None, figsize=None):
from pandas.plotting._matplotlib.tools import flatten_axes
if figsize is None:
figsize = (6.4, 4.8)
visible_axes = self._flatten_visible(axes)
if axes_num is not None:
assert l... | 03fef5f0e35200aa5828975b62782bcf11faa0d2 | 14 | common.py | 196 | TST: Clean tests/plotting (#45992) | 39,622 | 0 | 225 | 133 | 46 | 164,926 | 62 | pandas | 26 | pandas/tests/plotting/common.py | Python | 16 | {
"docstring": "\n Check expected number of axes is drawn in expected layout\n\n Parameters\n ----------\n axes : matplotlib Axes object, or its list-like\n axes_num : number\n expected number of axes. Unnecessary axes should be set to\n invisible.\n lay... | https://github.com/pandas-dev/pandas.git | |
9 | cg_command | async def cg_command(ctx, ticker="", length="14", start="", end=""):
try:
# Debug
if cfg.DEBUG:
logger.debug(
"!stocks.ta.cg %s %s %s %s",
ticker,
length,
start,
end,
)
# Check for... | f40ba0d256a78ab2b8461f0df3a9a52ca7dc5704 | 14 | cg.py | 948 | Bot logging fix (#1105)
* Write bot logs to stdout instead of a file
Heroku's logging uses the stdout and has problems with files
* Send "you snooze you lose" only if debug flag is enabled
* Replace print statements with logger entries in the economy menu
* Add logging to bot menu command calls
* Silence ... | 83,602 | 0 | 854 | 574 | 155 | 281,196 | 226 | OpenBBTerminal | 85 | discordbot/stocks/technical_analysis/cg.py | Python | 71 | {
"docstring": "Displays chart with centre of gravity [Yahoo Finance]",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
1 | csv_io_kwargs | def csv_io_kwargs(mode):
# type: (str) -> Dict[str, Any]
return {'mode': mode, 'newline': '', 'encoding': 'utf-8'}
| f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 8 | wheel.py | 43 | upd; format | 12,349 | 0 | 24 | 20 | 15 | 60,934 | 15 | transferlearning | 2 | .venv/lib/python3.8/site-packages/pip/_internal/operations/install/wheel.py | Python | 2 | {
"docstring": "Return keyword arguments to properly open a CSV file\n in the given mode.\n ",
"language": "en",
"n_whitespaces": 19,
"n_words": 13,
"vocab_size": 13
} | https://github.com/jindongwang/transferlearning.git | |
12 | change_node_label | def change_node_label(self, label, new_label):
if label not in self._node_labels:
raise ValueError("No such node exists for the Truss")
else:
for node in self._nodes:
if node[0] == label:
if self._supports[label] == 'pinned':
... | 99ede53223eafb56b2c2b4ab7b8a6764b628c9d9 | 23 | truss.py | 1,114 | remove_load method added along with other changes | 48,980 | 0 | 1,084 | 682 | 80 | 198,528 | 138 | sympy | 20 | sympy/physics/continuum_mechanics/truss.py | Python | 43 | {
"docstring": "\n This method changes the label of a node.\n\n Parameters\n ==========\n label: String or Symbol\n The label of the node for which the label has\n to be changed.\n\n new_label: String or Symbol\n The new label of the node.\n\n ... | https://github.com/sympy/sympy.git | |
1 | get_cat_ids | def get_cat_ids(self, idx):
return self.get_ann_info(idx)['labels'].astype(np.int).tolist()
| 4aaaf4dccfe26ac2265f77069f09aa8204f23337 | 12 | openimages.py | 50 | [Feature] Support Class Aware Sampler (#7436)
* [Feature] Support Class Aware Sampler
* minor fix
* minor fix
* rename get_label_dict to get_index_dict
* fix cas logic
* minor fix
* minor fix
* minor fix
* minor fix
* minor fix | 70,290 | 0 | 19 | 29 | 5 | 244,226 | 5 | mmdetection | 8 | mmdet/datasets/openimages.py | Python | 2 | {
"docstring": "Get category ids by index.\n\n Args:\n idx (int): Index of data.\n\n Returns:\n list[int]: All categories in the image of specified index.\n ",
"language": "en",
"n_whitespaces": 64,
"n_words": 21,
"vocab_size": 19
} | https://github.com/open-mmlab/mmdetection.git | |
1 | print_stack | def print_stack(self, *, limit=None, file=None):
return base_tasks._task_print_stack(self, limit, file)
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 7 | tasks.py | 41 | add python 3.10.4 for windows | 56,120 | 0 | 23 | 27 | 9 | 220,797 | 9 | XX-Net | 6 | python3.10.4/Lib/asyncio/tasks.py | Python | 2 | {
"docstring": "Print the stack or traceback for this task's coroutine.\n\n This produces output similar to that of the traceback module,\n for the frames retrieved by get_stack(). The limit argument\n is passed to get_stack(). The file argument is an I/O stream\n to which the output is ... | https://github.com/XX-net/XX-Net.git | |
13 | _get_aligned_offsets | def _get_aligned_offsets(hd_list, height, align="baseline"):
if height is None:
height = max(h for h, d in hd_list)
_api.check_in_list(
["baseline", "left", "top", "right", "bottom", "center"], align=align)
if align == "baseline":
height_descent = max(h - d for h, d in hd_list... | b51c471f0bea8ad2bd3e295ebf896cba0efbb5ef | 14 | offsetbox.py | 294 | FIX: VPacker and HPacker bottom/top alignment
The bottom and top alignments were incorrectly defined before,
this updates them to have the expected alignment. | 24,176 | 0 | 228 | 186 | 50 | 110,473 | 120 | matplotlib | 12 | lib/matplotlib/offsetbox.py | Python | 20 | {
"docstring": "\n Align boxes each specified by their ``(height, descent)`` pair.\n\n For simplicity of the description, the terminology used here assumes a\n horizontal layout (i.e., vertical alignment), but the function works\n equally for a vertical layout.\n\n Parameters\n ----------\n hd_li... | https://github.com/matplotlib/matplotlib.git | |
1 | duplicate_interleave | def duplicate_interleave(m):
dim0 = m.shape[0]
m = m.view(-1, 1) # flatten the matrix
m = m.repeat(1, 2) # repeat all elements into the 2nd dimension
m = m.view(dim0, -1) # reshape into a matrix, interleaving the copy
return m
# Copied from transformers.models.gptj.modeling_gptj.apply_rota... | d6b6fb9963e094216daa30ebf61224ca1c46921e | 9 | modeling_codegen.py | 81 | Add CodeGen model (#17443)
* Add CodeGen model
* Add missing key and switch order of super()
* Fix torch.ones init with uint8 instead of bool
* Address comments: copy statements and doc
* update tests
* remove old model parallel
* fix batch gen tests
* fix batch gen test
* update test_gpt2_samp... | 5,777 | 0 | 63 | 48 | 31 | 31,640 | 43 | transformers | 6 | src/transformers/models/codegen/modeling_codegen.py | Python | 6 | {
"docstring": "\n A simple version of `torch.repeat_interleave` for duplicating a matrix while interleaving the copy.\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 13,
"vocab_size": 13
} | https://github.com/huggingface/transformers.git | |
1 | get_granger_causality | def get_granger_causality(time_series_y, time_series_x, lags):
granger_set = pd.concat([time_series_y, time_series_x], axis=1)
granger = grangercausalitytests(granger_set, [lags], verbose=False)
return granger
| f2ca215132de40804667feb4deaa0c6b8bfc3d25 | 9 | econometrics_model.py | 63 | Econometrics Menu (#1403)
* Add Statistics Menu
* Add Granger Causality test
* Apply Black formatting
* Add Cointegration Tests
* Adjust plotting for Cointegration test
* Add Significant parameter to Cointegration tests
* Move regression functions to seperate .py files
* Progress on Panel Data
* A lot of progr... | 84,280 | 0 | 28 | 42 | 14 | 282,731 | 16 | OpenBBTerminal | 11 | gamestonk_terminal/econometrics/econometrics_model.py | Python | 4 | {
"docstring": "Calculate granger tests\n\n Parameters\n ----------\n time_series_y : Series\n The series you want to test Granger Causality for.\n time_series_x : Series\n The series that you want to test whether it Granger-causes time_series_y\n lags : int\n The amoiunt of lags f... | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
5 | _load_bboxes | def _load_bboxes(self, results):
ann_info = results['ann_info']
results['gt_bboxes'] = ann_info['bboxes'].copy()
if self.denorm_bbox:
h, w = results['img_shape'][:2]
bbox_num = results['gt_bboxes'].shape[0]
if bbox_num != 0:
results[... | 1516986a616fee8bb741d0ab2be40683045efccd | 13 | loading.py | 303 | [Feature] Support OpenImages Dataset (#6331)
* [Feature] support openimage group of eval
* [Feature] support openimage group of eval
* support openimage dataset
* support openimage challenge dataset
* fully support OpenImages-V6 and OpenImages Challenge 2019
* Fix some logic error
* update config fil... | 70,196 | 0 | 238 | 176 | 39 | 244,007 | 61 | mmdetection | 17 | mmdet/datasets/pipelines/loading.py | Python | 19 | {
"docstring": "Private function to load bounding box annotations.\n\n Args:\n results (dict): Result dict from :obj:`mmdet.CustomDataset`.\n\n Returns:\n dict: The dict contains loaded bounding box annotations.\n ",
"language": "en",
"n_whitespaces": 66,
"n_words": 23... | https://github.com/open-mmlab/mmdetection.git | |
5 | hstack | def hstack(tup, *, dtype=None, casting="same_kind"):
if not overrides.ARRAY_FUNCTION_ENABLED:
# raise warning if necessary
_arrays_for_stack_dispatcher(tup, stacklevel=2)
arrs = atleast_1d(*tup)
if not isinstance(arrs, list):
arrs = [arrs]
# As a special case, dimension 0 o... | 126046f84449fffeb0c75ae88657ce6b90236eee | 11 | shape_base.py | 154 | ENH: adding casting option to numpy.stack. (#21627)
np.concatenate and np.stack are similar methods, but only np.concatenate has the casting option.
This PR puts the casting option into the np.stack method to control what kind of data casting may occur
Closes gh-20959
* ENH: adding casting option to numpy.sta... | 38,661 | 0 | 110 | 99 | 42 | 160,598 | 54 | numpy | 15 | numpy/core/shape_base.py | Python | 10 | {
"docstring": "\n Stack arrays in sequence horizontally (column wise).\n\n This is equivalent to concatenation along the second axis, except for 1-D\n arrays where it concatenates along the first axis. Rebuilds arrays divided\n by `hsplit`.\n\n This function makes most sense for arrays with up to 3 di... | https://github.com/numpy/numpy.git | |
3 | d2_tweedie_score | def d2_tweedie_score(y_true, y_pred, *, sample_weight=None, power=0):
y_type, y_true, y_pred, _ = _check_reg_targets(
y_true, y_pred, None, dtype=[np.float64, np.float32]
)
if y_type == "continuous-multioutput":
raise ValueError("Multioutput not supported in d2_tweedie_score")
if _... | 75a94f518f7bd7d0bf581ffb67d9f961e3c4efbc | 11 | _regression.py | 225 | ENH migrate GLMs / TweedieRegressor to linear loss (#22548)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> | 75,790 | 0 | 164 | 147 | 58 | 259,460 | 79 | scikit-learn | 27 | sklearn/metrics/_regression.py | Python | 19 | {
"docstring": "D^2 regression score function, percentage of Tweedie deviance explained.\n\n Best possible score is 1.0 and it can be negative (because the model can be\n arbitrarily worse). A model that always uses the empirical mean of `y_true` as\n constant prediction, disregarding the input features, get... | https://github.com/scikit-learn/scikit-learn.git | |
11 | find_requirement | def find_requirement(self, req, upgrade):
# type: (InstallRequirement, bool) -> Optional[InstallationCandidate]
hashes = req.hashes(trust_internet=False)
best_candidate_result = self.find_best_candidate(
req.name, specifier=req.specifier, hashes=hashes,
)
bes... | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 12 | package_finder.py | 106 | upd; format | 12,265 | 0 | 118 | 214 | 30 | 60,728 | 37 | transferlearning | 15 | .venv/lib/python3.8/site-packages/pip/_internal/index/package_finder.py | Python | 55 | {
"docstring": "Try to find a Link matching req\n\n Expects req, an InstallRequirement and upgrade, a boolean\n Returns a InstallationCandidate if found,\n Raises DistributionNotFound or BestVersionAlreadyInstalled otherwise\n ",
"language": "en",
"n_whitespaces": 53,
"n_words": 25,
... | https://github.com/jindongwang/transferlearning.git | |
1 | add_handler | def add_handler(self, handler):
sympy_deprecation_warning(
,
deprecated_since_version="1.8",
active_deprecations_target='deprecated-askhandler',
)
self.handlers.append(handler)
| ad766d1c02943e86f50559abfd0c72e582c9ca6a | 9 | assume.py | 48 | Update the AskHandler deprecation warnings
n.b., the issue number in the original warning message was wrong. It should
have been #20837. | 48,153 | 0 | 62 | 28 | 9 | 196,757 | 9 | sympy | 8 | sympy/assumptions/assume.py | Python | 10 | {
"docstring": "\n The AskHandler system is deprecated. Predicate.add_handler()\n should be replaced with the multipledispatch handler of Predicate.\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 15,
"vocab_size": 15
} | https://github.com/sympy/sympy.git | |
1 | get_revision | def get_revision(cls, location):
# type: (str) -> str
raise NotImplementedError
| f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 6 | versioncontrol.py | 19 | upd; format | 12,574 | 0 | 31 | 10 | 10 | 61,435 | 10 | transferlearning | 4 | .venv/lib/python3.8/site-packages/pip/_internal/vcs/versioncontrol.py | Python | 2 | {
"docstring": "\n Return the current commit id of the files at the given location.\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 12,
"vocab_size": 10
} | https://github.com/jindongwang/transferlearning.git | |
1 | get_config_profile_type_map | def get_config_profile_type_map() -> t.Dict[t.Type[HostConfig], t.Type[HostProfile]]:
return get_type_map(HostProfile, HostConfig)
| 3eb0485dd92c88cc92152d3656d94492db44b183 | 7 | host_profiles.py | 48 | ansible-test - Use more native type hints. (#78435)
* ansible-test - Use more native type hints.
Simple search and replace to switch from comments to native type hints for return types of functions with no arguments.
* ansible-test - Use more native type hints.
Conversion of simple single-line function annota... | 79,291 | 0 | 14 | 31 | 8 | 268,017 | 8 | ansible | 7 | test/lib/ansible_test/_internal/host_profiles.py | Python | 3 | {
"docstring": "Create and return a mapping of HostConfig types to HostProfile types.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/ansible/ansible.git | |
2 | query_task | def query_task(doctype, txt, searchfield, start, page_len, filters):
from frappe.desk.reportview import build_match_conditions
search_string = "%%%s%%" % txt
order_by_string = "%s%%" % txt
match_conditions = build_match_conditions("Task")
match_conditions = ("and" + match_conditions) if match_conditions else ""
... | 00ef499739959630cd7cf97419fbb6ca59be05f2 | 10 | utils.py | 150 | refactor: use db independent offset syntax (#31345)
* chore: use db independent offset syntax
* fix: typo
* style: reformat code to black spec
Co-authored-by: Ankush Menat <ankush@frappe.io> | 14,887 | 0 | 43 | 96 | 37 | 68,806 | 53 | erpnext | 16 | erpnext/projects/utils.py | Python | 18 | {
"docstring": "select name, subject from `tabTask`\n\t\twhere (`%s` like %s or `subject` like %s) %s\n\t\torder by\n\t\t\tcase when `subject` like %s then 0 else 1 end,\n\t\t\tcase when `%s` like %s then 0 else 1 end,\n\t\t\t`%s`,\n\t\t\tsubject\n\t\tlimit %s offset %s",
"language": "en",
"n_whitespaces": 34,
... | https://github.com/frappe/erpnext.git | |
3 | _project_out | def _project_out(basis, U):
# See Sec. 6.9 of The Symmetric Eigenvalue Problem by Beresford Parlett [1]
# which motivates two loop iterations for basis subtraction. This
# "twice is enough" approach is due to Kahan. See also a practical note
# by SLEPc developers [2].
#
# Interspersing with orthonormali... | 76fcf63fb4e53fd82faece677ed46db8b0c71707 | 13 | linalg.py | 176 | Add initial LOBPCG top-k eigenvalue solver (#3112)
This initial version is f32-only for accelerators, since it relies on an eigh call (which itself is f32 at most) in its inner loop.
For details, see jax.experimental.linalg.standard_lobpcg documentation.
This is a partial implementation of the similar [scipy lobpcg
... | 27,026 | 0 | 311 | 101 | 171 | 121,063 | 269 | jax | 17 | jax/experimental/sparse/linalg.py | Python | 9 | {
"docstring": "Derives component of U in the orthogonal complement of basis.\n\n This method iteratively subtracts out the basis component and orthonormalizes\n the remainder. To an extent, these two operations can oppose each other\n when the remainder norm is near-zero (since normalization enlarges a vector\n ... | https://github.com/google/jax.git | |
7 | filter_empty_contents | def filter_empty_contents(self, ocr_info):
new_ocr_info = []
empty_index = []
for idx, info in enumerate(ocr_info):
if len(info["transcription"]) > 0:
new_ocr_info.append(copy.deepcopy(info))
else:
empty_index.append(info["id"])
... | 7a99588dd8b678233eff0391aac13ebd0f7000f6 | 14 | label_ops.py | 188 | add more dataset yamls and fix re exceptions (#6791)
* add more dataset yamls and fix re exceptions | 4,713 | 0 | 224 | 114 | 31 | 24,246 | 48 | PaddleOCR | 14 | ppocr/data/imaug/label_ops.py | Python | 16 | {
"docstring": "\n find out the empty texts and remove the links\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 8
} | https://github.com/PaddlePaddle/PaddleOCR.git | |
1 | test_performance_issue_alert_user | def test_performance_issue_alert_user(self, mock_func):
event = self.create_performance_issue()
action_data = {
"id": "sentry.mail.actions.NotifyEmailAction",
"targetType": "Member",
"targetIdentifier": str(self.user.id),
}
rule = Rule.objec... | 495d45c6547e398a5d4d3c1fa8cb97e69b1751f8 | 12 | test_issue_alert.py | 268 | ref(slack): Update workflow alerts for perf issues (#40463)
Slack workflow alerts for performance issues are showing a text value of
"no value". This PR adds feature parity with error issues for workflow
alerts so that they are shown with the proper data. | 18,279 | 0 | 357 | 149 | 65 | 87,324 | 79 | sentry | 28 | tests/sentry/integrations/slack/notifications/test_issue_alert.py | Python | 30 | {
"docstring": "Test that performance issue alerts are sent to a Slack user.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/getsentry/sentry.git | |
1 | save_pretrained | def save_pretrained(self, save_directory):
self.feature_extractor.save_pretrained(save_directory)
self.tokenizer.save_pretrained(save_directory)
| ac227093e41cecb07c7e0f2fc9a504850907bd06 | 8 | processing_vilt.py | 41 | Add ViLT (#14895)
* First commit
* Add conversion script
* Make conversion script work for base model
* More improvements
* Update conversion script, works for vqa
* Add indexing argument to meshgrid
* Make conversion script work for ViltForPreTraining
* Add ViltForPreTraining to docs
* Fix dev... | 6,259 | 0 | 26 | 24 | 5 | 34,328 | 5 | transformers | 5 | src/transformers/models/vilt/processing_vilt.py | Python | 3 | {
"docstring": "\n Save a ViLT feature_extractor object and BERT tokenizer object to the directory `save_directory`, so that it\n can be re-loaded using the [`~ViltProcessor.from_pretrained`] class method.\n\n <Tip>\n\n This class method is simply calling [`~feature_extraction_utils.Featur... | https://github.com/huggingface/transformers.git | |
1 | client_entity_removed_fixture | def client_entity_removed_fixture(hass):
with patch(
"homeassistant.components.webostv.WebOsClient", autospec=True
) as mock_client_class:
client = mock_client_class.return_value
client.hello_info = {"deviceUUID": "some-fake-uuid"}
client.connected = False
| eb487480381bff3aa87f4d80145b162863dc0a27 | 11 | conftest.py | 70 | Add webostv 100% tests coverage for init (#64801) | 109,493 | 0 | 56 | 64 | 17 | 310,821 | 19 | core | 9 | tests/components/webostv/conftest.py | Python | 12 | {
"docstring": "Patch of client library, entity removed waiting for connect.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
1 | test_calling_start_ray_head | def test_calling_start_ray_head(call_ray_stop_only):
# Test that we can call ray start with various command line
# parameters.
# Test starting Ray with a redis port specified.
check_call_ray(["start", "--head", "--port", "0"])
check_call_ray(["stop"])
# Test starting Ray with a node IP addres... | 8cc268096cb79ededff67b90806b4e4d996ca775 | 11 | test_multi_node_3.py | 970 | [GCS][Bootstrap 3/n] Refactor to support GCS bootstrap (#21295)
This PR refactors several components to support switching to GCS address bootstrapping later:
- Treat address from `ray.init()` and `ray` CLI as bootstrap address instead of assuming it is Redis address.
- Ray client servers support `--address` flag ins... | 28,858 | 0 | 732 | 495 | 143 | 128,960 | 392 | ray | 23 | python/ray/tests/test_multi_node_3.py | Python | 88 | {
"docstring": "\nimport ray\nfrom time import sleep\nfor i in range(0, 5):\n try:\n ray.init(address='auto')\n break\n except:\n sleep(1)\n\nimport ray\nfrom time import sleep\nfor i in range(0, 5):\n try:\n ray.init(address='auto')\n break\n except:\n sleep(1)\n... | https://github.com/ray-project/ray.git | |
3 | check_task_fail_for_duplicates | def check_task_fail_for_duplicates(session):
metadata = reflect_tables([TaskFail], session)
task_fail = metadata.tables.get(TaskFail.__tablename__) # type: ignore
if task_fail is None: # table not there
return
if "run_id" in task_fail.columns: # upgrade already applied
return
... | f06b3955b1d937138fb38021a6a373b94ae8f9e8 | 11 | db.py | 115 | Add map_index and run_id to TaskFail (#22260)
TaskFail entities always belong to a TaskInstance. The PK for TaskInstance has changed, so we need to update TaskFail to have the new columns. | 8,873 | 0 | 98 | 67 | 33 | 46,402 | 39 | airflow | 14 | airflow/utils/db.py | Python | 12 | {
"docstring": "Check that there are no duplicates in the task_fail table before creating FK",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | https://github.com/apache/airflow.git | |
1 | add_to_apply_calls | def add_to_apply_calls(self, func, length=None, width=None, *args, **kwargs):
return cuDFOnRayDataframePartition(
self.gpu_manager,
self.apply(func, *args, **kwargs),
length=length,
width=width,
)
| d6d503ac7c3028d871c34d9e99e925ddb0746df6 | 10 | partition.py | 73 | FIX-#4597: Refactor Partition handling of func, args, kwargs (#4715)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Jonathan Shi <jhshi@ponder.io> | 36,023 | 0 | 81 | 51 | 15 | 154,500 | 16 | modin | 10 | modin/core/execution/ray/implementations/cudf_on_ray/partitioning/partition.py | Python | 7 | {
"docstring": "\n Apply `func` to this partition and create new.\n\n Parameters\n ----------\n func : callable\n A function to apply.\n length : ray.ObjectRef or int, optional\n Length, or reference to length, of wrapped ``pandas.DataFrame``.\n width : ... | https://github.com/modin-project/modin.git | |
13 | get_feature_names_out | def get_feature_names_out(self, input_features=None):
check_is_fitted(self)
input_features = _check_feature_names_in(self, input_features)
# List of tuples (name, feature_names_out)
transformer_with_feature_names_out = []
for name, trans, column, _ in self._iter(fitted=... | 279388d9ed2ea83194dd45a2d78161be30b43aa7 | 16 | _column_transformer.py | 380 | DOC Improve get_feature_names_out docstrings (#22718)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> | 75,571 | 0 | 683 | 231 | 113 | 259,112 | 182 | scikit-learn | 38 | sklearn/compose/_column_transformer.py | Python | 40 | {
"docstring": "Get output feature names for transformation.\n\n Parameters\n ----------\n input_features : array-like of str or None, default=None\n Input features.\n\n - If `input_features` is `None`, then `feature_names_in_` is\n used as feature names in. If ... | https://github.com/scikit-learn/scikit-learn.git | |
7 | parse_query_string | def parse_query_string(query_string, operator=None, zero_terms=MATCH_NONE):
filters, query_string = separate_filters_from_query(query_string)
is_phrase = False
tokens = []
for part in query_string.split('"'):
part = part.strip()
if part:
if is_phrase:
t... | d10f15e55806c6944827d801cd9c2d53f5da4186 | 19 | utils.py | 193 | Reformat with black | 16,438 | 0 | 231 | 115 | 38 | 75,890 | 57 | wagtail | 19 | wagtail/search/utils.py | Python | 22 | {
"docstring": "\n This takes a query string typed in by a user and extracts the following:\n\n - Quoted terms (for phrase search)\n - Filters\n\n For example, the following query:\n\n `hello \"this is a phrase\" live:true` would be parsed into:\n\n filters: {'live': 'true'}\n tokens: And([Pl... | https://github.com/wagtail/wagtail.git | |
1 | preprocess_input | def preprocess_input(x, data_format=None):
return x
@keras_export("keras.applications.resnet_rs.decode_predictions") | 9c24fc4057303172ad977cebd626da2b7adb63d4 | @keras_export("keras.applications.resnet_rs.decode_predictions") | 7 | resnet_rs.py | 32 | Add ResNet-RS to keras.applications - code refactor | 79,882 | 1 | 11 | 12 | 6 | 269,080 | 6 | keras | 4 | keras/applications/resnet_rs.py | Python | 2 | {
"docstring": "A placeholder method for backward compatibility.\n\n The preprocessing logic has been included in the ResnetRS model\n implementation. Users are no longer required to call this method to normalize\n the input data. This method does nothing and only kept as a placeholder to\n align the API ... | https://github.com/keras-team/keras.git |
10 | check_credit_limit | def check_credit_limit(customer, company, ignore_outstanding_sales_order=False, extra_amount=0):
credit_limit = get_credit_limit(customer, company)
if not credit_limit:
return
customer_outstanding = get_customer_outstanding(customer, company, ignore_outstanding_sales_order)
if extra_amount > 0:
customer_outsta... | 494bd9ef78313436f0424b918f200dab8fc7c20b | @frappe.whitelist() | 18 | customer.py | 383 | style: format code with black | 14,497 | 1 | 133 | 218 | 118 | 67,329 | 181 | erpnext | 31 | erpnext/selling/doctype/customer/customer.py | Python | 43 | {
"docstring": "Please contact any of the following users to extend the credit limits for {0}:\n\t\t\t\t<br><br><ul><li>{1}</li></ul>",
"language": "en",
"n_whitespaces": 13,
"n_words": 15,
"vocab_size": 14
} | https://github.com/frappe/erpnext.git |
1 | test__linux_lvm_no_logical_volumes | def test__linux_lvm_no_logical_volumes(self):
vgs_out = {"pid": 123, "retcode": 0, "stdout": " vg00\n vg01", "stderr": ""}
lvs_out = {"pid": 456, "retcode": 0, "stdout": "", "stderr": ""}
cmd_out = MagicMock(autospec=True, side_effect=[vgs_out, lvs_out, lvs_out])
patch_which... | 637e74f0f2e80723fa30eb8f83a86af440c6ba4e | 11 | test_lvm.py | 222 | Uses only command's stdout to populate lvm grain | 53,878 | 0 | 144 | 124 | 44 | 215,192 | 57 | salt | 17 | tests/unit/grains/test_lvm.py | Python | 11 | {
"docstring": "\n Test grains._linux_lvm, lvm is installed, volume groups created but\n no logical volumes present.\n Should return a dictionary only with the header\n ",
"language": "en",
"n_whitespaces": 50,
"n_words": 21,
"vocab_size": 21
} | https://github.com/saltstack/salt.git | |
4 | jaxpr_collectives | def jaxpr_collectives(jaxpr):
for eqn in jaxpr.eqns:
if eqn.primitive in _collective_primitives:
yield eqn.primitive
for subjaxpr in core.subjaxprs(jaxpr): yield from jaxpr_collectives(subjaxpr)
### xla_call underlying jit
| 4354f355a858e6e99a0853dde90812bf8e846ee5 | 11 | xla.py | 67 | prototyping dynamic shapes
Co-authored-by: Dougal Maclaurin <dougalm@google.com> | 26,784 | 0 | 33 | 40 | 18 | 120,148 | 23 | jax | 9 | jax/interpreters/xla.py | Python | 5 | {
"docstring": "Generates all the collective primitives anywhere inside a Jaxpr.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/google/jax.git | |
3 | _conda_version | def _conda_version(self):
if not self._is_conda:
return "N/A"
with Popen("conda --version", shell=True, stdout=PIPE, stderr=PIPE) as conda:
stdout, stderr = conda.communicate()
if stderr:
return "Conda is used, but version not found"
version =... | 48c886b3dce3d3117ad16edaf35c8abd28dc51f5 | 12 | sysinfo.py | 130 | Allow decoding errors | 21,436 | 0 | 110 | 73 | 29 | 102,071 | 35 | faceswap | 16 | lib/sysinfo.py | Python | 9 | {
"docstring": " str: The installed version of Conda, or `N/A` if Conda is not installed. ",
"language": "en",
"n_whitespaces": 14,
"n_words": 13,
"vocab_size": 13
} | https://github.com/deepfakes/faceswap.git | |
2 | _multi_dot | def _multi_dot(arrays, order, i, j, precision):
if i == j:
return arrays[i]
else:
return jnp.dot(_multi_dot(arrays, order, i, order[i, j], precision),
_multi_dot(arrays, order, order[i, j] + 1, j, precision),
precision=precision)
| 2416d154355f19e77b5c1ddf1de1f8552e4a98ad | 14 | linalg.py | 99 | Call _check_arraylike for jnp.linalg & jnp.fft functions | 27,181 | 0 | 74 | 73 | 21 | 122,412 | 29 | jax | 8 | jax/_src/third_party/numpy/linalg.py | Python | 7 | {
"docstring": "Actually do the multiplication with the given order.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 7
} | https://github.com/google/jax.git | |
2 | unique_id | def unique_id(self):
if self.serial is None:
return f"{self._bridge_unique_id}_{self.device_id}"
return super().unique_id
| 8b1713a691bd0c90824261be785f1998ad89f66f | 10 | __init__.py | 53 | Add support for non-serialized devices (light, switch, cover, fan in RA3 Zones) (#75323)
Co-authored-by: J. Nick Koston <nick@koston.org> | 103,304 | 0 | 42 | 22 | 9 | 304,497 | 10 | core | 6 | homeassistant/components/lutron_caseta/__init__.py | Python | 4 | {
"docstring": "Return a unique identifier if serial number is None.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
7 | eval | def eval(self, args, assumptions=True):
# Support for deprecated design
# When old design is removed, this will always return None
sympy_deprecation_warning(
,
deprecated_since_version="1.8",
active_deprecations_target='deprecated-askhandler',
stac... | ad766d1c02943e86f50559abfd0c72e582c9ca6a | @contextmanager | 17 | assume.py | 206 | Update the AskHandler deprecation warnings
n.b., the issue number in the original warning message was wrong. It should
have been #20837. | 48,154 | 1 | 491 | 123 | 73 | 196,758 | 111 | sympy | 25 | sympy/assumptions/assume.py | Python | 30 | {
"docstring": "\n The AskHandler system is deprecated. Evaluating UndefinedPredicate\n objects should be replaced with the multipledispatch handler of\n Predicate.\n ",
"language": "en",
"n_whitespaces": 62,
"n_words": 17,
"vocab_size": 17
} | https://github.com/sympy/sympy.git |
9 | _translate_tick_params | def _translate_tick_params(kw, reverse=False):
kw_ = {**kw}
# The following lists may be moved to a more accessible location.
allowed_keys = [
'size', 'width', 'color', 'tickdir', 'pad',
'labelsize', 'labelcolor', 'zorder', 'gridOn',
'tick1On', 'tick... | 6c88dd95935bcc5125ebaa81cd8202c347f3941c | 13 | axis.py | 426 | Add translation from internal kw to ones in tick_params() | 23,860 | 0 | 663 | 230 | 109 | 109,967 | 162 | matplotlib | 16 | lib/matplotlib/axis.py | Python | 44 | {
"docstring": "\n Translate the kwargs supported by `.Axis.set_tick_params` to kwargs\n supported by `.Tick._apply_params`.\n\n In particular, this maps axis specific names like 'top', 'left'\n to the generic tick1, tick2 logic of the axis. Additionally, there\n are some other name... | https://github.com/matplotlib/matplotlib.git | |
14 | get_order_by | def get_order_by(self):
result = []
seen = set()
for expr, is_ref in self._order_by_pairs():
resolved = expr.resolve_expression(self.query, allow_joins=True, reuse=None)
if self.query.combinator and self.select:
src = resolved.get_source_expressi... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 21 | compiler.py | 469 | Refs #33476 -- Reformatted code with Black. | 51,231 | 0 | 948 | 288 | 147 | 205,832 | 222 | django | 48 | django/db/models/sql/compiler.py | Python | 37 | {
"docstring": "\n Return a list of 2-tuples of the form (expr, (sql, params, is_ref)) for\n the ORDER BY clause.\n\n The order_by clause can alter the select clause (for example it can add\n aliases to clauses that do not yet have one, or it can add totally new\n select clauses).\n... | https://github.com/django/django.git | |
6 | engine | async def engine(self) -> AsyncEngine:
if sqlite3.sqlite_version_info < self.MIN_SQLITE_VERSION:
required = ".".join(str(v) for v in self.MIN_SQLITE_VERSION)
raise RuntimeError(
f"Orion requires sqlite >= {required} but we found version "
f"{sqli... | 6ec2dcd6d424da1d069b2ecf378b4e4ddfdd43e3 | 14 | configurations.py | 305 | Resolve SQLite param ordering issue | 11,816 | 0 | 462 | 178 | 99 | 58,817 | 126 | prefect | 32 | src/prefect/orion/database/configurations.py | Python | 39 | {
"docstring": "Retrieves an async SQLAlchemy engine.\n\n Args:\n connection_url (str, optional): The database connection string.\n Defaults to self.connection_url\n echo (bool, optional): Whether to echo SQL sent\n to the database. Defaults to self.echo\n ... | https://github.com/PrefectHQ/prefect.git | |
2 | test_highlighted | def test_highlighted(qtbot):
doc = QTextDocument()
completiondelegate._Highlighter(doc, 'Hello', Qt.GlobalColor.red)
doc.setPlainText('Hello World')
# Needed so the highlighting actually works.
edit = QTextEdit()
qtbot.add_widget(edit)
edit.setDocument(doc)
colors = [f.foreground(... | 0877fb0d78635692e481c8bde224fac5ad0dd430 | 11 | test_completiondelegate.py | 133 | Run scripts/dev/rewrite_enums.py | 117,670 | 0 | 63 | 76 | 29 | 321,337 | 33 | qutebrowser | 20 | tests/unit/completion/test_completiondelegate.py | Python | 9 | {
"docstring": "Make sure highlighting works.\n\n Note that with Qt > 5.12.1 we need to call setPlainText *after*\n creating the highlighter for highlighting to work. Ideally, we'd test\n whether CompletionItemDelegate._get_textdoc() works properly, but testing\n that is kind of hard, so we just test it i... | https://github.com/qutebrowser/qutebrowser.git | |
10 | topological_sort | def topological_sort(cls, assignments):
if not all(isinstance(i, Assignment) for i in assignments):
# Will support more things later
raise NotImplementedError("CodeBlock.topological_sort only supports Assignments")
if any(isinstance(i, AugmentedAssignment) for i in ass... | 65be461082dda54c8748922f9c29a19af1279fe1 | 14 | ast.py | 254 | Remove abbreviations in documentation | 48,439 | 0 | 558 | 150 | 130 | 197,296 | 251 | sympy | 26 | sympy/codegen/ast.py | Python | 18 | {
"docstring": "\n Return a CodeBlock with topologically sorted assignments so that\n variables are assigned before they are used.\n\n Examples\n ========\n\n The existing order of assignments is preserved as much as possible.\n\n This function assumes that variables are assi... | https://github.com/sympy/sympy.git | |
1 | adapt | def adapt(self, data, batch_size=None, steps=None):
super().adapt(data, batch_size=batch_size, steps=steps)
| 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 9 | discretization.py | 49 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 81,075 | 0 | 22 | 32 | 8 | 272,918 | 8 | keras | 6 | keras/layers/preprocessing/discretization.py | Python | 2 | {
"docstring": "Computes bin boundaries from quantiles in a input dataset.\n\n Calling `adapt()` on a `Discretization` layer is an alternative to passing\n in a `bin_boundaries` argument during construction. A `Discretization` layer\n should always be either adapted over a dataset or passed `bin_... | https://github.com/keras-team/keras.git | |
10 | parse_datetime | def parse_datetime(value):
try:
return datetime.datetime.fromisoformat(value)
except ValueError:
if match := datetime_re.match(value):
kw = match.groupdict()
kw["microsecond"] = kw["microsecond"] and kw["microsecond"].ljust(6, "0")
tzinfo = kw.pop("tzinfo... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 20 | dateparse.py | 282 | Refs #33476 -- Reformatted code with Black. | 51,588 | 0 | 272 | 170 | 53 | 206,617 | 78 | django | 21 | django/utils/dateparse.py | Python | 18 | {
"docstring": "Parse a string and return a datetime.datetime.\n\n This function supports time zone offsets. When the input contains one,\n the output uses a timezone with a fixed offset from UTC.\n\n Raise ValueError if the input is well formatted but not a valid datetime.\n Return None if the input isn'... | https://github.com/django/django.git | |
1 | create_module | def create_module(self, spec):
# By default, defer to default semantics for the new module.
return None
# We don't define exec_module() here since that would break
# hasattr checks we do to support backward compatibility.
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 6 | _abc.py | 21 | add python 3.10.4 for windows | 55,084 | 0 | 62 | 10 | 32 | 218,022 | 35 | XX-Net | 3 | python3.10.4/Lib/importlib/_abc.py | Python | 2 | {
"docstring": "Return a module to initialize and into which to load.\n\n This method should raise ImportError if anything prevents it\n from creating a new module. It may return None to indicate\n that the spec should create the new module.\n ",
"language": "en",
"n_whitespaces": 67,... | https://github.com/XX-net/XX-Net.git | |
3 | responder | def responder(request):
# Find an available port
with socket.socket() as sock:
sock.bind(("localhost", 0))
port = sock.getsockname()[1]
server_process = multiprocessing.Process(
target=process_server, args=(request.param, port)
)
server_process.start()
yield port
... | c5ff649b11bd625ca36ad218539badb1c2057668 | @pytest.mark.parametrize(
"responder, read_method, parquet_engine",
[
(CSVUserAgentResponder, pd.read_csv, None),
(JSONUserAgentResponder, pd.read_json, None),
(ParquetPyArrowUserAgentResponder, pd.read_parquet, "pyarrow"),
pytest.param(
ParquetFastParquetUserAgentRes... | 15 | test_user_agent.py | 366 | CI/TST: Call join on server process test (#45628) | 39,497 | 1 | 380 | 117 | 75 | 163,775 | 93 | pandas | 48 | pandas/tests/io/test_user_agent.py | Python | 21 | {
"docstring": "\n Fixture that starts a local http server in a separate process on localhost\n and returns the port.\n\n Running in a separate process instead of a thread to allow termination/killing\n of http server upon cleanup.\n ",
"language": "en",
"n_whitespaces": 50,
"n_words": 34,
"voc... | https://github.com/pandas-dev/pandas.git |
3 | _dirmatch | def _dirmatch(path, matchwith):
matchlen = len(matchwith)
if (path.startswith(matchwith)
and path[matchlen:matchlen + 1] in [os.sep, '']):
return True
return False
| 4c73560b313821fbfbb8c943e02c8b298b7c1731 | 11 | _clonevirtualenv.py | 73 | [runtime env] Support clone `virtualenv` from an existing `virtualenv` (#22309)
Before this PR, we can't run ray in virtualenv, cause `runtime_env` does not support create a new virtualenv from an existing virtualenv.
More details:https://github.com/ray-project/ray/pull/21801#discussion_r796848499
Co-authored-b... | 33,344 | 0 | 45 | 45 | 18 | 144,928 | 19 | ray | 8 | python/ray/_private/runtime_env/_clonevirtualenv.py | Python | 6 | {
"docstring": "Check if path is within matchwith's tree.\n >>> _dirmatch('/home/foo/bar', '/home/foo/bar')\n True\n >>> _dirmatch('/home/foo/bar/', '/home/foo/bar')\n True\n >>> _dirmatch('/home/foo/bar/etc', '/home/foo/bar')\n True\n >>> _dirmatch('/home/foo/bar2', '/home/foo/bar')\n False\n... | https://github.com/ray-project/ray.git | |
2 | max_mireds | def max_mireds(self) -> int:
if color_temp := self.resource.color_temperature:
return color_temp.mirek_schema.mirek_maximum
# return a fallback value to prevent issues with mired->kelvin conversions
return FALLBACK_MAX_MIREDS
| 10e796e9d5916ce214d23e6aeaf5d757638b07b1 | 9 | light.py | 43 | Fix issues with Color temperature conversions in Hue (#83982) | 96,740 | 0 | 62 | 25 | 21 | 297,779 | 23 | core | 9 | homeassistant/components/hue/v2/light.py | Python | 5 | {
"docstring": "Return the warmest color_temp that this light supports.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/home-assistant/core.git | |
5 | prde_no_cancel_b_large | def prde_no_cancel_b_large(b, Q, n, DE):
db = b.degree(DE.t)
m = len(Q)
H = [Poly(0, DE.t)]*m
for N, i in itertools.product(range(n, -1, -1), range(m)): # [n, ..., 0]
si = Q[i].nth(N + db)/b.LC()
sitn = Poly(si*DE.t**N, DE.t)
H[i] = H[i] + sitn
Q[i] = Q[i] - deriva... | e94a7b45d7b033ccbd57395dca28b654f875c54c | 15 | prde.py | 421 | Improve loop performance | 48,922 | 0 | 194 | 281 | 70 | 198,413 | 104 | sympy | 39 | sympy/integrals/prde.py | Python | 19 | {
"docstring": "\n Parametric Poly Risch Differential Equation - No cancellation: deg(b) large enough.\n\n Explanation\n ===========\n\n Given a derivation D on k[t], n in ZZ, and b, q1, ..., qm in k[t] with\n b != 0 and either D == d/dt or deg(b) > max(0, deg(D) - 1), returns\n h1, ..., hr in k[t] ... | https://github.com/sympy/sympy.git | |
5 | _discrete_log_shanks_steps | def _discrete_log_shanks_steps(n, a, b, order=None):
a %= n
b %= n
if order is None:
order = n_order(b, n)
m = isqrt(order) + 1
T = {}
x = 1
for i in range(m):
T[x] = i
x = x * b % n
z = mod_inverse(b, n)
z = pow(z, m, n)
x = a
for i in range(m):
... | 9d58006fc0a23afcba38f641c9472917c436428a | 11 | residue_ntheory.py | 194 | Code cleanup | 48,963 | 0 | 167 | 126 | 41 | 198,500 | 82 | sympy | 16 | sympy/ntheory/residue_ntheory.py | Python | 19 | {
"docstring": "\n Baby-step giant-step algorithm for computing the discrete logarithm of\n ``a`` to the base ``b`` modulo ``n``.\n\n The algorithm is a time-memory trade-off of the method of exhaustive\n search. It uses `O(sqrt(m))` memory, where `m` is the group order.\n\n Examples\n ========\n\n ... | https://github.com/sympy/sympy.git | |
7 | get_lead_data | def get_lead_data(filters, based_on):
based_on_field = frappe.scrub(based_on)
conditions = get_filter_conditions(filters)
lead_details = frappe.db.sql(
.format(
based_on_field=based_on_field, conditions=conditions
),
filters,
as_dict=1,
)
lead_map = frappe._dict()
for d in lead_details:
lead_map.se... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 15 | campaign_efficiency.py | 381 | style: format code with black | 14,000 | 0 | 61 | 241 | 58 | 65,748 | 86 | erpnext | 31 | erpnext/crm/report/campaign_efficiency/campaign_efficiency.py | Python | 29 | {
"docstring": "\n\t\tselect {based_on_field}, name\n\t\tfrom `tabLead`\n\t\twhere {based_on_field} is not null and {based_on_field} != '' {conditions}\n\t",
"language": "en",
"n_whitespaces": 12,
"n_words": 15,
"vocab_size": 14
} | https://github.com/frappe/erpnext.git | |
5 | gen_flat_decoded_field_dicts | def gen_flat_decoded_field_dicts(self) -> Generator[Dict, None, None]:
selected_decoding, decoded_val = self.safe_decode_as(self.preferred_decoding, self.try_unpack)
field_desc_dict = {
"tag": self._gen_tag_str(),
"wireType": self._wire_type_str(),
... | 9d1e3107e851b3187c1270df189da74236e447f7 | 12 | grpc.py | 204 | `pyupgrade --keep-runtime-typing --py38-plus` | 73,562 | 0 | 423 | 120 | 68 | 250,874 | 91 | mitmproxy | 21 | mitmproxy/contentviews/grpc.py | Python | 28 | {
"docstring": "\n Returns a generator which passes the field as a dict.\n\n In order to return the field value it gets decoded (based on a failover strategy and\n provided ParserRules).\n If the field holds a nested message, the fields contained in the message are appended... | https://github.com/mitmproxy/mitmproxy.git | |
3 | test_change_view | def test_change_view(self):
change_dict = {
"title": "Ikke fordømt",
"content": "<p>edited article</p>",
"date_0": "2008-03-18",
"date_1": "10:54:39",
"section": self.s1.pk,
}
article_change_url = reverse(
"admin:ad... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 15 | tests.py | 1,865 | Refs #33476 -- Reformatted code with Black. | 52,122 | 0 | 2,165 | 1,131 | 202 | 207,831 | 462 | django | 49 | tests/admin_views/tests.py | Python | 156 | {
"docstring": "Change view should restrict access and allow users to edit items.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/django/django.git | |
5 | nested_concat | def nested_concat(tensors, new_tensors, padding_index=-100):
assert type(tensors) == type(
new_tensors
), f"Expected `tensors` and `new_tensors` to have the same type but found {type(tensors)} and {type(new_tensors)}."
if isinstance(tensors, (list, tuple)):
return type(tensors)(nested_c... | 44a290e94d1becd1f09fddc3d873f9e19c9d6919 | 14 | helper.py | 200 | [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... | 118,400 | 0 | 192 | 116 | 50 | 323,181 | 64 | PaddleNLP | 18 | paddlenlp/trainer/utils/helper.py | Python | 17 | {
"docstring": "\n Concat the `new_tensors` to `tensors` on the first dim and pad them on the second if needed. Works for tensors or\n nested list/tuples of tensors.\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 25,
"vocab_size": 22
} | https://github.com/PaddlePaddle/PaddleNLP.git | |
1 | test_light_none_color_value | async def test_light_none_color_value(hass, light_color_null_values, integration):
entity_id = "light.repeater"
state = hass.states.get(entity_id)
assert state
assert state.state == STATE_ON
assert state.attributes[ATTR_SUPPORTED_FEATURES] == LightEntityFeature.TRANSITION
assert state.attr... | fe0120b65a5e685b1aed06e8bd3cf10b561a710b | 9 | test_light.py | 87 | Use light enums in zwave_js (#70791) | 97,970 | 0 | 46 | 53 | 18 | 299,032 | 25 | core | 14 | tests/components/zwave_js/test_light.py | Python | 7 | {
"docstring": "Test the light entity can handle None value in current color Value.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | https://github.com/home-assistant/core.git | |
2 | contains_points | def contains_points(self, points, transform=None, radius=0.0):
if transform is not None:
transform = transform.frozen()
result = _path.points_in_path(points, radius, self, transform)
return result.astype('bool')
| 03a0b5ea238014ba87f74ef766928287726aa00a | 10 | path.py | 78 | Doc: Fix grammar and spelling | 24,047 | 0 | 60 | 52 | 19 | 110,307 | 21 | matplotlib | 10 | lib/matplotlib/path.py | Python | 5 | {
"docstring": "\n Return whether the area enclosed by the path contains the given points.\n\n The path is always treated as closed; i.e. if the last code is not\n CLOSEPOLY an implicit segment connecting the last vertex to the first\n vertex is assumed.\n\n Parameters\n ----... | https://github.com/matplotlib/matplotlib.git | |
1 | test_advanced_customization | def test_advanced_customization(scene):
chart = BarChart(values=[10, 40, 10, 20], bar_names=["one", "two", "three", "four"])
c_x_lbls = chart.x_axis.labels
c_x_lbls.set_color_by_gradient(GREEN, RED, YELLOW)
c_y_nums = chart.y_axis.numbers
c_y_nums.set_color_by_gradient(BLUE, WHITE).shift(LEFT... | 149479f9132daf2266c27caa7a3e11ce06be501d | @frames_comparison | 11 | test_probability.py | 162 | Refactored :class:`~.BarChart` and made it inherit from :class:`~.Axes`. (#2387)
* rebase
* fixed None bar_names
* fixed scale issues
* fixed to accept negative bar values
* fixed some bugs
* Added docs for parameters (DRAFT)
* clean up parameters
* more clean up
* clean up __init__
* replac... | 46,049 | 1 | 62 | 99 | 29 | 189,420 | 33 | manim | 27 | tests/test_graphical_units/test_probability.py | Python | 10 | {
"docstring": "Tests to make sure advanced customization can be done through :class:`~.BarChart`",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/ManimCommunity/manim.git |
3 | newer | def newer(source, target):
if not os.path.exists(source):
raise ValueError("file '%s' does not exist" % os.path.abspath(source))
if not os.path.exists(target):
return 1
mtime1 = os.stat(source)[ST_MTIME]
mtime2 = os.stat(target)[ST_MTIME]
return mtime1 > mtime2
| f2ccee6761ddcdde2c6502146ca1b37730d46d6d | 13 | _generate_pyx.py | 118 | MAINT: Remove `distutils` usage and add `newer` | 69,778 | 0 | 61 | 72 | 22 | 242,078 | 29 | scipy | 12 | scipy/linalg/_generate_pyx.py | Python | 8 | {
"docstring": "\n Return true if 'source' exists and is more recently modified than\n 'target', or if 'source' exists and 'target' doesn't. Return false if\n both exist and 'target' is the same age or younger than 'source'.\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 34,
"vocab_size":... | https://github.com/scipy/scipy.git | |
1 | test_list_invalid_query_parameter | def test_list_invalid_query_parameter(self) -> None:
channel = self.make_request(
"GET",
self.url + "?valid=x",
{},
access_token=self.admin_user_tok,
)
self.assertEqual(400, channel.code, msg=channel.json_body)
| 2281427175e4c93a30c39607fb4ac23c2a1f399f | 10 | test_registration_tokens.py | 77 | Use literals in place of `HTTPStatus` constants in tests (#13488)
* Use literals in place of `HTTPStatus` constants in tests
* newsfile
* code style
* code style | 72,831 | 0 | 89 | 48 | 17 | 249,328 | 17 | synapse | 11 | tests/rest/admin/test_registration_tokens.py | Python | 9 | {
"docstring": "Test with `valid` query parameter not `true` or `false`.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/matrix-org/synapse.git | |
1 | test_get_parsed_simple_text_mail | def test_get_parsed_simple_text_mail(self):
# Parse Test file and check relevant content
parsed1 = self.parser.get_parsed(
os.path.join(self.SAMPLE_FILES, "simple_text.eml"),
)
self.assertEqual(parsed1.date.year, 2022)
self.assertEqual(parsed1.date.month, 10... | 00f39d8b581c358f2484680275222f6ad909758c | 11 | test_parsers.py | 254 | add test comments | 117,103 | 0 | 162 | 157 | 45 | 320,273 | 46 | paperless-ngx | 22 | src/paperless_mail/tests/test_parsers.py | Python | 15 | {
"docstring": "\n GIVEN:\n - Fresh parser\n WHEN:\n - A .eml file should be parsed\n THEN:\n - The content of the mail should be available in the parse result.\n ",
"language": "en",
"n_whitespaces": 88,
"n_words": 26,
"vocab_size": 21
} | https://github.com/paperless-ngx/paperless-ngx.git | |
1 | from_pydict | def from_pydict(cls, *args, **kwargs):
return cls(pa.Table.from_pydict(*args, **kwargs))
| e35be138148333078284b942ccc9ed7b1d826f97 | 10 | table.py | 46 | Update docs to new frontend/UI (#3690)
* WIP: update docs to new UI
* make style
* Rm unused
* inject_arrow_table_documentation __annotations__
* hasattr(arrow_table_method, "__annotations__")
* Update task_template.rst
* Codeblock PT-TF-SPLIT
* Convert loading scripts
* Convert docs to mdx
... | 21,830 | 0 | 21 | 28 | 7 | 104,393 | 7 | datasets | 6 | src/datasets/table.py | Python | 2 | {
"docstring": "\n Construct a Table from Arrow arrays or columns\n\n Args:\n mapping (:obj:`Union[dict, Mapping]`):\n A mapping of strings to Arrays or Python lists.\n schema (:obj:`Schema`, defaults to :obj:`None`):\n If not passed, will be inferred ... | https://github.com/huggingface/datasets.git | |
3 | _check_deprecated_resample_kwargs | def _check_deprecated_resample_kwargs(kwargs, origin):
# Deprecation warning of `base` and `loffset` since v1.1.0:
# we are raising the warning here to be able to set the `stacklevel`
# properly since we need to raise the `base` and `loffset` deprecation
# warning from three different cases:
# ... | 2f8d0a36703e81e4dca52ca9fe4f58c910c1b304 | 14 | grouper.py | 176 | PERF cache find_stack_level (#48023)
cache stacklevel | 40,239 | 0 | 373 | 83 | 85 | 168,224 | 136 | pandas | 11 | pandas/core/groupby/grouper.py | Python | 22 | {
"docstring": "\n Check for use of deprecated parameters in ``resample`` and related functions.\n\n Raises the appropriate warnings if these parameters are detected.\n Only sets an approximate ``stacklevel`` for the warnings (see #37603, #36629).\n\n Parameters\n ----------\n kwargs : dict\n ... | https://github.com/pandas-dev/pandas.git | |
2 | is_platform_arm | def is_platform_arm() -> bool:
return platform.machine() in ("arm64", "aarch64") or platform.machine().startswith(
"armv"
)
| c7da9ea5b089ebd0a57a62309e63dff08d26b2c8 | 10 | __init__.py | 57 | TST: Create is_ci_environment helper (#45812) | 39,565 | 0 | 29 | 30 | 13 | 164,509 | 13 | pandas | 5 | pandas/compat/__init__.py | Python | 12 | {
"docstring": "\n Checking if the running platform use ARM architecture.\n\n Returns\n -------\n bool\n True if the running platform uses ARM architecture.\n ",
"language": "en",
"n_whitespaces": 42,
"n_words": 19,
"vocab_size": 13
} | https://github.com/pandas-dev/pandas.git | |
2 | broadcast_shapes | def broadcast_shapes(*shapes):
# NOTE: We have both cached and uncached versions to handle Tracers in shapes.
try:
return _broadcast_shapes_cached(*shapes)
except:
return _broadcast_shapes_uncached(*shapes)
@cache() | 78ed03c4c2970e5e0d11f14a8d4fc968a4efbca2 | @cache() | 11 | lax.py | 52 | [typing] add annotations to jax.numpy.linalg | 27,122 | 1 | 32 | 23 | 22 | 122,213 | 23 | jax | 5 | jax/_src/lax/lax.py | Python | 5 | {
"docstring": "Returns the shape that results from NumPy broadcasting of `shapes`.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/google/jax.git |
1 | subscription_channel_updated_webhook | def subscription_channel_updated_webhook(subscription_webhook):
return subscription_webhook(
CHANNEL_UPDATED_SUBSCRIPTION_QUERY, WebhookEventAsyncType.CHANNEL_UPDATED
)
CHANNEL_DELETED_SUBSCRIPTION_QUERY =
@pytest.fixture | e5d78c63edd2620e67671e713ef594e924b0e1c9 | @pytest.fixture | 8 | fixtures.py | 36 | New events for changes related to channels (#9570)
* Channel webhooks events added
* use isActive instead od channel status property
* correct CHOICES value for channel_created event | 5,063 | 1 | 21 | 14 | 10 | 26,788 | 10 | saleor | 8 | saleor/plugins/webhook/tests/subscription_webhooks/fixtures.py | Python | 4 | {
"docstring": "\n subscription{\n event{\n ...on ChannelDeleted{\n channel{\n id\n }\n }\n }\n }\n",
"language": "en",
"n_whitespaces": 69,
"n_words": 10,
"vocab_size": 7
} | https://github.com/saleor/saleor.git |
1 | mixin_worker_runtime_parser | def mixin_worker_runtime_parser(parser):
gp = add_arg_group(parser, title='WorkerRuntime')
from jina import __default_executor__
gp.add_argument(
'--uses',
type=str,
default=__default_executor__,
help=,
)
gp.add_argument(
'--uses-with',
action=K... | ceb51082b4ec6f31811945ffc67b734acbbebac2 | 10 | worker.py | 363 | feat: convert embedding/tensor array type at executor level (#4484) | 2,127 | 0 | 460 | 216 | 71 | 11,824 | 110 | jina | 21 | jina/parsers/orchestrate/runtimes/worker.py | Python | 92 | {
"docstring": "Mixing in arguments required by :class:`WorkerRuntime` into the given parser.\n :param parser: the parser instance to which we add arguments\n \n The config of the executor, it could be one of the followings:\n * an Executor YAML file (.yml, .yaml, .jaml)\n * a Jina Hub Exec... | https://github.com/jina-ai/jina.git | |
6 | _sparsemax_threshold_and_support | def _sparsemax_threshold_and_support(X, dim=-1, k=None):
if k is None or k >= X.shape[dim]: # do full sort
topk, _ = torch.sort(X, dim=dim, descending=True)
else:
topk, _ = torch.topk(X, k=k, dim=dim)
topk_cumsum = topk.cumsum(dim) - 1
rhos = _make_ix_like(topk, dim)
support ... | 20a8a6fdb516e543d4598c852063ba0fb407f3ba | 14 | activations.py | 336 | Removes dependency on entmax from PyPI, adds entmax source to utils (#1778)
* Removes dependency on entmax from PyPi, add entmax source code into utils instead.
* Removes build status and image from README
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
... | 947 | 0 | 202 | 221 | 64 | 6,266 | 96 | ludwig | 29 | ludwig/utils/entmax/activations.py | Python | 19 | {
"docstring": "Core computation for sparsemax: optimal threshold and support size.\n\n Parameters\n ----------\n X : torch.Tensor\n The input tensor to compute thresholds over.\n\n dim : int\n The dimension along which to apply sparsemax.\n\n k : int or None\n number of largest el... | https://github.com/ludwig-ai/ludwig.git | |
23 | bulk_update | def bulk_update(self, objs, fields, batch_size=None):
if batch_size is not None and batch_size < 0:
raise ValueError('Batch size must be a positive integer.')
if not fields:
raise ValueError('Field names must be given to bulk_update().')
objs = tuple(objs)
... | 0af9a5fc7d765aa05ea784e2c3237675f3bb4b49 | 17 | query.py | 609 | Fixed #33463 -- Fixed QuerySet.bulk_update() with F() expressions. | 50,240 | 0 | 704 | 381 | 135 | 203,160 | 237 | django | 61 | django/db/models/query.py | Python | 42 | {
"docstring": "\n Update the given fields in each of the given objects in the database.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 13,
"vocab_size": 9
} | https://github.com/django/django.git | |
4 | call_hm | def call_hm(self, other_args):
parser = argparse.ArgumentParser(
prog="hm",
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description=,
)
parser.add_argument(
"-l",
"--limit",
... | a5848af9088466ae711ce403c9f344b964d581b8 | 11 | overview_controller.py | 222 | Crypto heatmaps (#1416)
* added hm feature
* updated requirements
* updated tests
* updated tests
* updated charts convention and removed duplicated autocompletion
* added percentage
* lint
Co-authored-by: jmaslek <jmaslek11@gmail.com> | 84,248 | 0 | 388 | 137 | 50 | 282,685 | 57 | OpenBBTerminal | 27 | gamestonk_terminal/cryptocurrency/overview/overview_controller.py | Python | 37 | {
"docstring": "Process hm commandDisplay cryptocurrencies heatmap [Source: https://coingecko.com]\n Accepts --category or -c to display only coins of a certain category\n (default no category to display all coins ranked by market cap).\n You can look on only top N number of records w... | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
3 | parsedate_tz | def parsedate_tz(data):
res = _parsedate_tz(data)
if not res:
return
if res[9] is None:
res[9] = 0
return tuple(res)
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 9 | _parseaddr.py | 61 | add python 3.10.4 for windows | 57,010 | 0 | 47 | 36 | 14 | 223,619 | 18 | XX-Net | 5 | python3.10.4/Lib/email/_parseaddr.py | Python | 7 | {
"docstring": "Convert a date string to a time tuple.\n\n Accounts for military timezones.\n ",
"language": "en",
"n_whitespaces": 18,
"n_words": 12,
"vocab_size": 11
} | https://github.com/XX-net/XX-Net.git | |
10 | get_type | def get_type(self) -> str:
# values of the dict are functions evaluating whether components of this pipeline match the pipeline type
# specified by dict keys
pipeline_types = {
"GenerativeQAPipeline": lambda x: {"Generator", "Retriever"} <= set(x.keys()),
"FAQPip... | 938e6fda5b686ec49c52cb23f786a74d9321e048 | 17 | base.py | 556 | Classify pipeline's type based on its components (#3132)
* Add pipeline get_type mehod
* Add pipeline uptime
* Add pipeline telemetry event sending
* Send pipeline telemetry once a day (at most)
* Add pipeline invocation counter, change invocation counter logic
* Update allowed telemetry parameters - al... | 75,161 | 0 | 369 | 317 | 89 | 257,868 | 153 | haystack | 26 | haystack/pipelines/base.py | Python | 25 | {
"docstring": "\n Returns the type of the pipeline.\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 5
} | https://github.com/deepset-ai/haystack.git | |
1 | record_states | def record_states(hass):
mp = "media_player.test"
mp2 = "media_player.test2"
mp3 = "media_player.test3"
therm = "thermostat.test"
therm2 = "thermostat.test2"
zone = "zone.home"
script_c = "script.can_cancel_this_one"
| 29bda196b5e0a90a2bea7e1797742236114afc1c | 7 | test_init.py | 62 | Break apart recorder into tasks and core modules (#71222) | 98,729 | 0 | 47 | 446 | 17 | 299,827 | 23 | core | 9 | tests/components/history/test_init.py | Python | 60 | {
"docstring": "Record some test states.\n\n We inject a bunch of state updates from media player, zone and\n thermostat.\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 17,
"vocab_size": 17
} | https://github.com/home-assistant/core.git | |
3 | labels_to_dataset | def labels_to_dataset(labels, label_mode, num_classes):
label_ds = tf.data.Dataset.from_tensor_slices(labels)
if label_mode == 'binary':
label_ds = label_ds.map(
lambda x: tf.expand_dims(tf.cast(x, 'float32'), axis=-1),
num_parallel_calls=tf.data.AUTOTUNE)
elif label_mode == 'categorical':
... | 3073e00912838454359079a35f1638ccf06e855f | 16 | dataset_utils.py | 154 | Fix the issue in the other two places it occurs | 79,896 | 0 | 85 | 96 | 24 | 269,098 | 33 | keras | 17 | keras/preprocessing/dataset_utils.py | Python | 10 | {
"docstring": "Create a tf.data.Dataset from the list/tuple of labels.\n\n Args:\n labels: list/tuple of labels to be converted into a tf.data.Dataset.\n label_mode: String describing the encoding of `labels`. Options are:\n - 'binary' indicates that the labels (there can be only 2) are encoded as\n `... | https://github.com/keras-team/keras.git | |
1 | test_change_view_without_object_change_permission | def test_change_view_without_object_change_permission(self):
change_url = reverse("admin9:admin_views_article_change", args=(self.a1.pk,))
self.client.force_login(self.viewuser)
response = self.client.get(change_url)
self.assertEqual(response.context["title"], "View article")
... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 12 | tests.py | 138 | Refs #33476 -- Reformatted code with Black. | 52,110 | 0 | 114 | 81 | 27 | 207,805 | 29 | django | 15 | tests/admin_views/tests.py | Python | 11 | {
"docstring": "\n The object should be read-only if the user has permission to view it\n and change objects of that type but not to change the current object.\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 26,
"vocab_size": 23
} | https://github.com/django/django.git | |
3 | get_party_type | def get_party_type(doctype, txt, searchfield, start, page_len, filters):
cond = ""
if filters and filters.get("account"):
account_type = frappe.db.get_value("Account", filters.get("account"), "account_type")
cond = "and account_type = '%s'" % account_type
return frappe.db.sql(
.format(
key=searchfield, con... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 13 | party_type.py | 155 | style: format code with black | 14,544 | 0 | 33 | 91 | 36 | 67,491 | 44 | erpnext | 16 | erpnext/setup/doctype/party_type/party_type.py | Python | 13 | {
"docstring": "select name from `tabParty Type`\n\t\t\twhere `{key}` LIKE %(txt)s {cond}\n\t\t\torder by name limit %(start)s, %(page_len)s",
"language": "en",
"n_whitespaces": 13,
"n_words": 16,
"vocab_size": 15
} | https://github.com/frappe/erpnext.git | |
2 | get_collection_path_regexes | def get_collection_path_regexes() -> t.Tuple[t.Optional[t.Pattern], t.Optional[t.Pattern]]:
if data_context().content.collection:
collection_search_re = re.compile(r'/%s/' % data_context().content.collection.directory)
collection_sub_re = re.compile(r'^.*?/%s/' % data_context().content.collecti... | 3eb0485dd92c88cc92152d3656d94492db44b183 | 16 | __init__.py | 141 | ansible-test - Use more native type hints. (#78435)
* ansible-test - Use more native type hints.
Simple search and replace to switch from comments to native type hints for return types of functions with no arguments.
* ansible-test - Use more native type hints.
Conversion of simple single-line function annota... | 79,100 | 0 | 67 | 87 | 18 | 267,819 | 27 | ansible | 13 | test/lib/ansible_test/_internal/commands/coverage/__init__.py | Python | 9 | {
"docstring": "Return a pair of regexes used for identifying and manipulating collection paths.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | https://github.com/ansible/ansible.git | |
5 | available | def available(self) -> bool:
return (
self.poe_mode is not None
and self.controller.available
and self.client.switch_port
and self.client.switch_mac
and self.client.switch_mac in self.controller.api.devices
)
| 3798d28bec6dc257da8387a6751949d47fb29a29 | 12 | switch.py | 77 | Improve entity type hints [u] (#77884) | 105,376 | 0 | 97 | 49 | 17 | 306,592 | 21 | core | 10 | homeassistant/components/unifi/switch.py | Python | 13 | {
"docstring": "Return if switch is available.\n\n Poe_mode None means its POE state is unknown.\n Sw_mac unavailable means restored client.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 18,
"vocab_size": 16
} | https://github.com/home-assistant/core.git | |
2 | async_shutdown | async def async_shutdown(self):
if self.task:
self.task.cancel()
await asyncio.wait((self.task,))
self._unschedule_refresh()
await self.connection.stop()
| 551fb449752e1c3f55eb688d24509876020852d1 | 12 | __init__.py | 76 | Stop coordinator before connection in nibe_heatpump (#80396)
Stop coordinator in nibe_heatpump | 88,359 | 0 | 61 | 43 | 10 | 289,215 | 11 | core | 9 | homeassistant/components/nibe_heatpump/__init__.py | Python | 6 | {
"docstring": "Make sure a coordinator is shut down as well as it's connection.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | https://github.com/home-assistant/core.git | |
3 | autorun_get_interactive_session | def autorun_get_interactive_session(cmds, **kargs):
# type: (str, **Any) -> Tuple[str, Any]
sstdout, sstderr, sexcepthook = sys.stdout, sys.stderr, sys.excepthook
sw = StringWriter()
h_old = log_scapy.handlers[0]
log_scapy.removeHandler(h_old)
log_scapy.addHandler(logging.StreamHandler(stre... | b754f97d346e2db6e4a9e9cc6ff88010f502db89 | 13 | autorun.py | 228 | Update Mypy version | 52,584 | 0 | 184 | 142 | 43 | 209,035 | 63 | scapy | 27 | scapy/autorun.py | Python | 19 | {
"docstring": "Create an interactive session and execute the\n commands passed as \"cmds\" and return all output\n\n :param cmds: a list of commands to run\n :param timeout: timeout in seconds\n :returns: (output, returned) contains both sys.stdout and sys.stderr logs\n ",
"language": "en",
"n_whi... | https://github.com/secdev/scapy.git | |
1 | generate_gexf | def generate_gexf(G, encoding="utf-8", prettyprint=True, version="1.2draft"):
writer = GEXFWriter(encoding=encoding, prettyprint=prettyprint, version=version)
writer.add_graph(G)
yield from str(writer).splitlines()
@open_file(0, mode="rb") | 54e36acb36c75e09bc53dfcb81c73386b82a20c9 | @open_file(0, mode="rb") | 10 | gexf.py | 99 | Update gexf website link in documentation (#5275)
Hi, we've recently put the GEXF website again into its own domain http://gexf.net/ so this documentation should be updated. Thanks! | 41,768 | 1 | 27 | 50 | 16 | 176,215 | 16 | networkx | 12 | networkx/readwrite/gexf.py | Python | 4 | {
"docstring": "Generate lines of GEXF format representation of G.\n\n \"GEXF (Graph Exchange XML Format) is a language for describing\n complex networks structures, their associated data and dynamics\" [1]_.\n\n Parameters\n ----------\n G : graph\n A NetworkX graph\n encoding : string (optional... | https://github.com/networkx/networkx.git |
2 | _can_use_libjoin | def _can_use_libjoin(self) -> bool:
if type(self) is Index:
# excludes EAs
return isinstance(self.dtype, np.dtype)
return not is_interval_dtype(self.dtype)
# --------------------------------------------------------------------
# Uncategorized Methods
| 4248b23371a70b339a2c16b8e5caca9c2e5897f8 | 10 | base.py | 61 | ENH: ExtensionEngine (#45514) | 39,495 | 0 | 71 | 35 | 19 | 163,773 | 22 | pandas | 9 | pandas/core/indexes/base.py | Python | 7 | {
"docstring": "\n Whether we can use the fastpaths implement in _libs.join\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | https://github.com/pandas-dev/pandas.git | |
18 | remount | def remount(name, device, mkmnt=False, fstype="", opts="defaults", user=None):
force_mount = False
if __grains__["os"] in ["MacOS", "Darwin"]:
if opts == "defaults":
opts = "noowners"
if fstype == "smbfs":
force_mount = True
if "AIX" in __grains__["os"]:
... | 9354c15e0818715d055242d14b1308643a6918d7 | 16 | mount.py | 529 | Convert Py 2'isms to Python 3, and add tests for set_filesystems on AIX | 54,317 | 0 | 623 | 299 | 124 | 216,005 | 219 | salt | 27 | salt/modules/mount.py | Python | 42 | {
"docstring": "\n Attempt to remount a device, if the device is not already mounted, mount\n is called\n\n CLI Example:\n\n .. code-block:: bash\n\n salt '*' mount.remount /mnt/foo /dev/sdz1 True\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 26,
"vocab_size": 25
} | https://github.com/saltstack/salt.git | |
3 | close | async def close(self):
if not self._is_closed:
await asyncio.gather(*[q.close() for q in self._all_batch_queues()])
self._executor.close()
self._is_closed = True
| 46d7973043e2e599149812cc6fc7671b935c13f8 | 15 | request_handling.py | 80 | feat: dynamic batching (#5410)
Co-authored-by: Johannes Messner <messnerjo@gmail.com>
Co-authored-by: Alaeddine Abdessalem <alaeddine-13@live.fr> | 2,779 | 0 | 63 | 46 | 16 | 13,871 | 16 | jina | 8 | jina/serve/runtimes/worker/request_handling.py | Python | 5 | {
"docstring": "Close the data request handler, by closing the executor and the batch queues.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 11
} | https://github.com/jina-ai/jina.git | |
3 | filter_symbols | def filter_symbols(iterator, exclude):
exclude = set(exclude)
for s in iterator:
if s not in exclude:
yield s
| f3b08522003f40868afb20304fc0fa5b16d13f6a | 10 | iterables.py | 45 | Cleanup documentation | 48,434 | 0 | 44 | 27 | 14 | 197,287 | 17 | sympy | 5 | sympy/utilities/iterables.py | Python | 5 | {
"docstring": "\n Only yield elements from `iterator` that do not occur in `exclude`.\n\n Parameters\n ==========\n\n iterator : iterable\n iterator to take elements from\n\n exclude : iterable\n elements to exclude\n\n Returns\n =======\n\n iterator : iterator\n filtered... | https://github.com/sympy/sympy.git | |
4 | edit_focus_options | def edit_focus_options(self) -> typing.Sequence[str]:
flow = self.master.view.focus.flow
focus_options = []
if isinstance(flow, tcp.TCPFlow):
focus_options = ["tcp-message"]
elif isinstance(flow, http.HTTPFlow):
focus_options = [
"cookies... | fab7016b318d7c37fc30cef9c0567b9b620b883e | 11 | consoleaddons.py | 181 | beautify flowtable dns entries
this isn't perfect (the whole table needs to be refactored properly),
but good enough for now. | 73,587 | 0 | 357 | 104 | 44 | 251,073 | 54 | mitmproxy | 19 | mitmproxy/tools/console/consoleaddons.py | Python | 28 | {
"docstring": "\n Possible components for console.edit.focus.\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 4,
"vocab_size": 4
} | https://github.com/mitmproxy/mitmproxy.git | |
4 | _check_status | def _check_status(self) -> bool:
job_status = self._job["async_status"]
percent = self._job["async_percent_completion"]
logger.info(f"{self}: is {percent} complete ({job_status})")
if self.elapsed_time > self.job_timeout:
logger.info(f"{self}: run more than maximum ... | a3aae8017a0a40ff2006e2567f71dccb04c997a5 | 15 | async_job.py | 243 | 🎉 🎉 Source FB Marketing: performance and reliability fixes (#9805)
* Facebook Marketing performance improvement
* add comments and little refactoring
* fix integration tests with the new config
* improve job status handling, limit concurrency to 10
* fix campaign jobs, refactor manager
* big refactori... | 532 | 0 | 245 | 119 | 54 | 3,743 | 78 | airbyte | 19 | airbyte-integrations/connectors/source-facebook-marketing/source_facebook_marketing/streams/async_job.py | Python | 22 | {
"docstring": "Perform status check\n\n :return: True if the job is completed, False - if the job is still running\n ",
"language": "en",
"n_whitespaces": 32,
"n_words": 18,
"vocab_size": 14
} | https://github.com/airbytehq/airbyte.git | |
2 | _reset_layer_losses | def _reset_layer_losses(parent_layer):
losses_dict = {}
for layer in utils.list_all_layers_and_sublayers(parent_layer):
losses_dict[layer] = {
'losses': layer._losses[:],
'eager_losses': layer._eager_losses[:]
}
with utils.no_automatic_dependency_tracking_scope(layer):
layer._lo... | e61cbc52fd3b0170769c120e9b8dabc8c4205322 | 12 | save_impl.py | 113 | Support Keras saving/loading for ShardedVariables with arbitrary partitions.
PiperOrigin-RevId: 439837516 | 79,929 | 0 | 64 | 66 | 22 | 269,147 | 27 | keras | 9 | keras/saving/saved_model/save_impl.py | Python | 11 | {
"docstring": "Resets losses of layer and its sublayers, and returns original losses.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | https://github.com/keras-team/keras.git | |
11 | list | def list(self, verbose=True):
self._check()
for tarinfo in self:
if verbose:
print(filemode(tarinfo.mode), end=' ')
print("%s/%s" % (tarinfo.uname or tarinfo.uid,
tarinfo.gname or tarinfo.gid), end=' ')
... | c69d55f7c82d5ae2cce542bcfb98d043ca4836a0 | 18 | tarfile.py | 341 | Vendor in pip 22.1.2 | 3,836 | 0 | 408 | 200 | 46 | 21,440 | 74 | pipenv | 26 | pipenv/patched/notpip/_vendor/distlib/_backport/tarfile.py | Python | 21 | {
"docstring": "Print a table of contents to sys.stdout. If `verbose' is False, only\n the names of the members are printed. If it is True, an `ls -l'-like\n output is produced.\n ",
"language": "en",
"n_whitespaces": 56,
"n_words": 29,
"vocab_size": 24
} | https://github.com/pypa/pipenv.git | |
6 | _find_all_or_none | def _find_all_or_none(qt_library_info, mandatory_dll_patterns, optional_dll_patterns=None):
optional_dll_patterns = optional_dll_patterns or []
# Resolve path to the the corresponding python package (actually, its parent directory). Used to preserve directory
# structure when DLLs are collected from t... | 49abfa5498b1db83b8f1b2e859e461b1e8540c6f | 12 | qt.py | 105 | hookutils: qt: ensure ANGLE DLLs are collected from Anaconda Qt5
Anaconda's Qt5 ships ANGLE DLLs (`libEGL.dll` and `libGLESv2.dll`)
but does not seem to provide the `d3dcompiler_XY.dll`. Therefore,
we need to adjust the extra Qt DLL collection to consider the
latter an optional dependency whose absence does not preclu... | 77,505 | 0 | 111 | 100 | 58 | 263,901 | 81 | pyinstaller | 13 | PyInstaller/utils/hooks/qt.py | Python | 15 | {
"docstring": "\n Try to find Qt DLLs from the specified mandatory pattern list. If all mandatory patterns resolve to DLLs, collect\n them all, as well as any DLLs from the optional pattern list. If a mandatory pattern fails to resolve to a DLL,\n return an empty list.\n\n This allows all-or-none collect... | https://github.com/pyinstaller/pyinstaller.git | |
1 | test_double_stamping | def test_double_stamping(self, subtests):
self.app.conf.task_always_eager = True
self.app.conf.task_store_eager_result = True
self.app.conf.result_extended = True
sig_1 = self.add.s(2, 2)
sig_1.stamp(stamp1="stamp1")
sig_1.stamp(stamp2="stamp2")
sig_1_re... | 1c4ff33bd22cf94e297bd6449a06b5a30c2c1fbc | 12 | test_canvas.py | 291 | Canvas Header Stamping (#7384)
* Strip down the header-stamping PR to the basics.
* Serialize groups.
* Add groups to result backend meta data.
* Fix spelling mistake.
* Revert changes to canvas.py
* Revert changes to app/base.py
* Add stamping implementation to canvas.py
* Send task to AMQP with ... | 52,214 | 0 | 174 | 162 | 37 | 208,123 | 57 | celery | 20 | t/unit/tasks/test_canvas.py | Python | 15 | {
"docstring": "\n Test manual signature stamping with two different stamps.\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 8,
"vocab_size": 8
} | https://github.com/celery/celery.git | |
2 | arraylist_to_blobprotovector_str | def arraylist_to_blobprotovector_str(arraylist):
vec = caffe_pb2.BlobProtoVector()
vec.blobs.extend([array_to_blobproto(arr) for arr in arraylist])
return vec.SerializeToString()
| cc4d0564756ca067516f71718a3d135996525909 | 10 | io.py | 61 | Balanced joint maximum mean discrepancy for deep transfer learning | 12,051 | 0 | 24 | 36 | 12 | 60,260 | 12 | transferlearning | 10 | code/deep/BJMMD/caffe/python/caffe/io.py | Python | 4 | {
"docstring": "Converts a list of arrays to a serialized blobprotovec, which could be\n then passed to a network for processing.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 19,
"vocab_size": 16
} | https://github.com/jindongwang/transferlearning.git | |
4 | cleanup | def cleanup(self):
cleanup_filename = set(self._uid2filename.values())
if Path(self._cache_folder / SETTING_FILENAME).exists():
with Path(self._cache_folder / SETTING_FILENAME).open(mode='r') as f:
uid2filename: Dict[str, str] = json_tricks.load(f)
cl... | 9c19236902c2c66238c75f149cf9cefa411494c9 | 16 | storage.py | 178 | [Compression] update distillation utils (#5215) | 25,012 | 0 | 141 | 106 | 26 | 113,714 | 35 | nni | 24 | nni/contrib/distillation/storage.py | Python | 10 | {
"docstring": "\n Cleanup the saved files under `cache_folder`.\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | https://github.com/microsoft/nni.git | |
2 | column_names | def column_names(self) -> Dict[str, List[str]]:
self._check_values_type()
return {k: dataset.column_names for k, dataset in self.items()}
| 1904d0c0a3a96330d9b870cdca3e9a3a137f2977 | 9 | dataset_dict.py | 62 | Add code examples for DatasetDict (#4245)
* 📝 add code examples for DatasetDict
* 🖍 apply quentin review | 21,968 | 0 | 35 | 39 | 14 | 104,786 | 14 | datasets | 9 | src/datasets/dataset_dict.py | Python | 16 | {
"docstring": "Names of the columns in each split of the dataset.\n\n Example:\n\n ```py\n >>> from datasets import load_dataset\n >>> ds = load_dataset(\"rotten_tomatoes\")\n >>> ds.column_names\n {'test': ['text', 'label'],\n 'train': ['text', 'label'],\n '... | https://github.com/huggingface/datasets.git | |
2 | test_merge_asof_on_variations | def test_merge_asof_on_variations():
left = {"a": [1, 5, 10], "left_val": ["a", "b", "c"]}
left_index = [6, 8, 12]
right = {"a": [1, 2, 3, 6, 7], "right_val": ["d", "e", "f", "g", "h"]}
right_index = [6, 7, 8, 9, 15]
pandas_left, pandas_right = (
pandas.DataFrame(left, index=left_index)... | be2716f393fddd2f669f26616f80e051fc7ceee6 | 13 | test_general.py | 367 | TEST-#3655: Check that Modin is defaulting to Pandas. (#3656)
Co-authored-by: Dmitry Chigarev <62142979+dchigarev@users.noreply.github.com>
Co-authored-by: Devin Petersohn <devin-petersohn@users.noreply.github.com>
Signed-off-by: mvashishtha <mahesh@ponder.io> | 35,224 | 0 | 221 | 226 | 68 | 153,002 | 93 | modin | 19 | modin/pandas/test/test_general.py | Python | 24 | {
"docstring": "on=,left_on=,right_on=,right_index=,left_index= options match Pandas.",
"language": "en",
"n_whitespaces": 3,
"n_words": 4,
"vocab_size": 4
} | https://github.com/modin-project/modin.git | |
1 | train_and_predict_model | def train_and_predict_model(input_features, output_features, data_csv, output_directory):
config = {
"input_features": input_features,
"output_features": output_features,
"combiner": {"type": "concat", "fc_size": 14},
"training": {"epochs": 2},
}
model = LudwigModel(conf... | 4fb8f63181f5153b4f6778c6ef8dad61022c4f3f | 11 | test_server.py | 153 | Use tempfile to automatically garbage collect data and modeling artifacts in ludwig integration tests. (#1642)
* Use tmpdir to automatically garbage collect data and modeling artifacts in ludwig integration tests. | 859 | 0 | 123 | 95 | 33 | 5,863 | 36 | ludwig | 16 | tests/integration_tests/test_server.py | Python | 17 | {
"docstring": "Helper method to avoid code repetition for training a model and using it for prediction.\n\n :param input_features: input schema\n :param output_features: output schema\n :param data_csv: path to data\n :param output_directory: model output directory\n :return: None\n ",
"language"... | https://github.com/ludwig-ai/ludwig.git | |
3 | calc_second_derivative | def calc_second_derivative(self, x):
if x < self.x[0]:
return None
elif x > self.x[-1]:
return None
i = self.__search_index(x)
dx = x - self.x[i]
ddy = 2.0 * self.c[i] + 6.0 * self.d[i] * dx
return ddy
| def289b723e9216830c2a7b2577cb31b55710167 | 11 | cubic_spline_planner.py | 115 | enhance cubic spline path doc (#698)
* enhance cublic spline path doc
* enhance cublic spline path doc
* enhance cublic spline path doc
* enhance cublic spline path doc
* enhance cublic spline path doc
* enhance cublic spline path doc
* enhance cublic spline path doc
* enhance cublic spline path d... | 2,948 | 0 | 107 | 78 | 25 | 19,360 | 36 | PythonRobotics | 9 | PathPlanning/CubicSpline/cubic_spline_planner.py | Python | 9 | {
"docstring": "\n Calc second derivative at given x.\n\n if x is outside the input x, return None\n\n Returns\n -------\n ddy : float\n second derivative for given x.\n ",
"language": "en",
"n_whitespaces": 79,
"n_words": 25,
"vocab_size": 21
} | https://github.com/AtsushiSakai/PythonRobotics.git | |
5 | remove_edge | def remove_edge(self, u, v, key=None):
try:
d = self._adj[u][v]
except KeyError as err:
raise NetworkXError(f"The edge {u}-{v} is not in the graph.") from err
# remove the edge with specified data
if key is None:
d.popitem()
else:
... | c8fdab5d87235cbf5c2142531087fadfa653887a | 14 | multidigraph.py | 184 | Update multigraph docstrings to reflect `remove_edges_from` behavior. (#5699)
* Update MG docstring to reflect rm_edges_from behavior.
Also adds example.
* Update remove_edge docstring in MG and MDG.
* Fix MDG examples. | 42,123 | 0 | 259 | 103 | 48 | 176,827 | 77 | networkx | 15 | networkx/classes/multidigraph.py | Python | 16 | {
"docstring": "Remove an edge between u and v.\n\n Parameters\n ----------\n u, v : nodes\n Remove an edge between nodes u and v.\n key : hashable identifier, optional (default=None)\n Used to distinguish multiple edges between a pair of nodes.\n If None, ... | https://github.com/networkx/networkx.git |
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