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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9 | get_batch_no | def get_batch_no(doctype, txt, searchfield, start, page_len, filters):
doctype = "Batch"
cond = ""
if filters.get("posting_date"):
cond = "and (batch.expiry_date is null or batch.expiry_date >= %(posting_date)s)"
batch_nos = None
args = {
"item_code": filters.get("item_code"),
"warehouse": filters.get("ware... | 9baa2229761c5415f29646a1a5bed4a3f4981e05 | @frappe.whitelist()
@frappe.validate_and_sanitize_search_inputs | 16 | queries.py | 501 | fix: specify allowed doctype in queries (#31761) | 14,981 | 1 | 106 | 280 | 80 | 69,113 | 158 | erpnext | 29 | erpnext/controllers/queries.py | Python | 83 | {
"docstring": "select sle.batch_no, round(sum(sle.actual_qty),2), sle.stock_uom,\n\t\t\t\tconcat('MFG-',batch.manufacturing_date), concat('EXP-',batch.expiry_date)\n\t\t\t\t{search_columns}\n\t\t\tfrom `tabStock Ledger Entry` sle\n\t\t\t\tINNER JOIN `tabBatch` batch on sle.batch_no = batch.name\n\t\t\twhere\n\t\t\t\... | https://github.com/frappe/erpnext.git |
9 | allow_serial_nos_with_different_item | def allow_serial_nos_with_different_item(sle_serial_no, sle):
allow_serial_nos = False
if sle.voucher_type == "Stock Entry" and cint(sle.actual_qty) > 0:
stock_entry = frappe.get_cached_doc("Stock Entry", sle.voucher_no)
if stock_entry.purpose in ("Repack", "Manufacture"):
for d in stock_entry.get("items"):
... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 17 | serial_no.py | 163 | style: format code with black | 14,610 | 0 | 39 | 98 | 38 | 67,735 | 50 | erpnext | 20 | erpnext/stock/doctype/serial_no/serial_no.py | Python | 11 | {
"docstring": "\n\tAllows same serial nos for raw materials and finished goods\n\tin Manufacture / Repack type Stock Entry\n\t",
"language": "en",
"n_whitespaces": 15,
"n_words": 17,
"vocab_size": 17
} | https://github.com/frappe/erpnext.git | |
5 | find_latest_deps_file | def find_latest_deps_file(build_data_working, ansible_version):
# imports here so that they don't cause unnecessary deps for all of the plugins
from packaging.version import Version
data_dir = os.path.join(build_data_working, ansible_version)
deps_files = glob.glob(os.path.join(data_dir, '*.deps')... | 9545f2e0deae73d142047f02b499940b07b700aa | 12 | docs_build.py | 197 | stable docs build: do not use YAML parsing/serialization for .deps files (#79233)
* Do not use YAML parsing/serialization for .deps files.
* Prevent crash. | 79,570 | 0 | 191 | 114 | 64 | 268,629 | 101 | ansible | 21 | hacking/build_library/build_ansible/command_plugins/docs_build.py | Python | 17 | {
"docstring": "Find the most recent ansible deps file for the given ansible major version.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 11
} | https://github.com/ansible/ansible.git | |
6 | move_tone_curve | def move_tone_curve(img, low_y, high_y):
input_dtype = img.dtype
if low_y < 0 or low_y > 1:
raise ValueError("low_shift must be in range [0, 1]")
if high_y < 0 or high_y > 1:
raise ValueError("high_shift must be in range [0, 1]")
if input_dtype != np.uint8:
raise ValueErro... | 43201769f044e2f1bcd594a6e5c251903cf14c49 | 12 | functional.py | 120 | Upgrade black to 22.3.0 (#1181)
* Upgrade black to 22.3.0
* Remove sphinx docs build | 57,473 | 0 | 103 | 126 | 42 | 225,577 | 61 | albumentations | 12 | albumentations/augmentations/functional.py | Python | 15 | {
"docstring": "Rescales the relationship between bright and dark areas of the image by manipulating its tone curve.\n\n Args:\n img (numpy.ndarray): RGB or grayscale image.\n low_y (float): y-position of a Bezier control point used\n to adjust the tone curve, must be in range [0, 1]\n ... | https://github.com/albumentations-team/albumentations.git | |
6 | apply_str | def apply_str(self) -> DataFrame | Series:
# Caller is responsible for checking isinstance(self.f, str)
f = cast(str, self.f)
obj = self.obj
# Support for `frame.transform('method')`
# Some methods (shift, etc.) require the axis argument, others
# don't, so ins... | d1485e76b7c48316c0d54f1a4df26c4467792670 | 13 | apply.py | 199 | CLN: Refactor groupby._make_wrapper (#48400)
* CLN: Refactor groupby._make_wrapper
* Remove type: ignore
* Revert behavior change for corrwith; fix skew and mad
* Add docstring | 40,394 | 0 | 248 | 117 | 71 | 169,112 | 89 | pandas | 19 | pandas/core/apply.py | Python | 20 | {
"docstring": "\n Compute apply in case of a string.\n\n Returns\n -------\n result: Series or DataFrame\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 13,
"vocab_size": 13
} | https://github.com/pandas-dev/pandas.git | |
2 | completed_annotations | def completed_annotations(self):
if self.project.skip_queue == self.project.SkipQueue.IGNORE_SKIPPED:
return self.annotations.filter(Q(ground_truth=False))
else:
return self.annotations.filter(Q_finished_annotations)
| 074af782e6f351c711f18d8ad6a05aa4f632339c | 12 | models.py | 76 | feat: DEV-469: Skip queue (#1693)
* DEV-469 Skip queue project setting
* DEV-469 review fixes
* Merge migrations (DEV-469)
* Update requirements-test.txt
* Update requirements-test.txt
* Update test_exception.py
* Revert "Update test_exception.py"
This reverts commit b9c686c9bacaf298bafe3a207352cc... | 42,458 | 0 | 54 | 46 | 10 | 177,600 | 11 | label-studio | 11 | label_studio/tasks/models.py | Python | 5 | {
"docstring": "Annotations that we take into account when set completed status to the task",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | https://github.com/heartexlabs/label-studio.git | |
2 | test_get_result_correctness | async def test_get_result_correctness(graph1):
(_, _, _, dag) = graph1
handle = serve.run(DAGDriver.bind(dag))
visualizer = GraphVisualizer()
visualizer.visualize_with_gradio(handle, _launch=False)
await visualizer._send_request(random.randint(0, 100), 1, 2)
values = await asyncio.gather(... | 4c970cc88247f7cfa7351297b8b5050f2372742e | @pytest.mark.asyncio | 16 | test_gradio_visualization.py | 171 | [serve] Visualize Deployment Graph with Gradio (#27897) | 28,422 | 1 | 102 | 103 | 35 | 127,348 | 40 | ray | 26 | python/ray/serve/tests/test_gradio_visualization.py | Python | 13 | {
"docstring": "Tests correctness: that after running _send_request(), _get_result() in\n GraphVisualizer correctly returns object refs to the submitted tasks.\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 17,
"vocab_size": 17
} | https://github.com/ray-project/ray.git |
2 | test_get_backfill_points_in_room | def test_get_backfill_points_in_room(self):
setup_info = self._setup_room_for_backfill_tests()
room_id = setup_info.room_id
backfill_points = self.get_success(
self.store.get_backfill_points_in_room(room_id)
)
backfill_event_ids = [backfill_point[0] for back... | ac1a31740b6d0dfda4d57a25762aaddfde981caf | 11 | test_event_federation.py | 115 | Only try to backfill event if we haven't tried before recently (#13635)
Only try to backfill event if we haven't tried before recently (exponential backoff). No need to keep trying the same backfill point that fails over and over.
Fix https://github.com/matrix-org/synapse/issues/13622
Fix https://github.com/matrix... | 72,983 | 0 | 108 | 67 | 26 | 249,543 | 30 | synapse | 12 | tests/storage/test_event_federation.py | Python | 10 | {
"docstring": "\n Test to make sure we get some backfill points\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | https://github.com/matrix-org/synapse.git | |
10 | _mixup_transform | def _mixup_transform(self, results):
assert 'mix_results' in results
assert len(
results['mix_results']) == 1, 'MixUp only support 2 images now !'
if results['mix_results'][0]['gt_bboxes'].shape[0] == 0:
# empty bbox
return results
retrieve... | c9e1906f00505621b0247ab364feb0ca862fa98c | 14 | transforms.py | 1,292 | [Fix] Fix MixUp transform filter boxes failing case. Added test case (#7080) | 70,162 | 0 | 1,392 | 835 | 179 | 243,959 | 340 | mmdetection | 56 | mmdet/datasets/pipelines/transforms.py | Python | 83 | {
"docstring": "MixUp transform function.\n\n Args:\n results (dict): Result dict.\n\n Returns:\n dict: Updated result dict.\n ",
"language": "en",
"n_whitespaces": 56,
"n_words": 13,
"vocab_size": 12
} | https://github.com/open-mmlab/mmdetection.git | |
8 | authenticate | def authenticate(self, _=None): # TODO: remove unused var
acceptance_wait_time = self.opts["acceptance_wait_time"]
acceptance_wait_time_max = self.opts["acceptance_wait_time_max"]
if not acceptance_wait_time_max:
acceptance_wait_time_max = acceptance_wait_time
with ... | 70972c8016ff5d6fbdd7f83776077b0936f60dea | 20 | crypt.py | 308 | Use salt.channel.client instead of salt.transport.client | 54,016 | 0 | 954 | 172 | 89 | 215,547 | 134 | salt | 28 | salt/crypt.py | Python | 39 | {
"docstring": "\n Authenticate with the master, this method breaks the functional\n paradigm, it will update the master information from a fresh sign\n in, signing in can occur as often as needed to keep up with the\n revolving master AES key.\n\n :rtype: Crypticle\n :return... | https://github.com/saltstack/salt.git | |
1 | test_not_collapsed_with_legacy | def test_not_collapsed_with_legacy(self):
# Sidebar should not be collapsed because the feature flag is not enabled
self.client.cookies['wagtail_sidebar_collapsed'] = '1'
response = self.client.get(reverse('wagtailadmin_home'))
self.assertNotContains(response, 'sidebar-collapsed... | 18c4d7c81356dbd5c4503db2ea24b21492512317 | 11 | test_menu.py | 70 | Update Wagtail test cases to match slim sidebar capabilities and implementation details | 15,545 | 0 | 58 | 37 | 21 | 70,730 | 23 | wagtail | 8 | wagtail/admin/tests/test_menu.py | Python | 4 | {
"docstring": "Sidebar should only remember its collapsed state with the slim implementation.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/wagtail/wagtail.git | |
1 | default | def default(method):
method._is_default = True # pylint: disable=protected-access
return method
| 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 7 | generic_utils.py | 25 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 81,746 | 0 | 20 | 13 | 10 | 276,832 | 10 | keras | 3 | keras/utils/generic_utils.py | Python | 3 | {
"docstring": "Decorates a method to detect overrides in subclasses.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/keras-team/keras.git | |
3 | tokenize_wrapper | def tokenize_wrapper(input):
skip = {token.NEWLINE, token.INDENT, token.DEDENT}
tokens = tokenize.generate_tokens(io.StringIO(input).readline)
for quintuple in tokens:
type, value, start, end, line_text = quintuple
if type not in skip:
yield quintuple
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 11 | patcomp.py | 92 | add python 3.10.4 for windows | 55,459 | 0 | 65 | 60 | 23 | 218,759 | 28 | XX-Net | 19 | python3.10.4/Lib/lib2to3/patcomp.py | Python | 7 | {
"docstring": "Tokenizes a string suppressing significant whitespace.",
"language": "en",
"n_whitespaces": 5,
"n_words": 6,
"vocab_size": 6
} | https://github.com/XX-net/XX-Net.git | |
1 | test_get_serials | def test_get_serials():
expected = [
"180720d39cd2db3244ba037417241e90",
"1768ac4e5b72bf1d0df0df118b34b959",
]
mock = MagicMock(
return_value=(
"CertInfo\r\n"
"================ Certificate 0 ================\r\n"
"Serial Number: 180720d39cd2db... | a8d2d1e1397cdc79b2c5f1ad7f6e3b729dcf8857 | 12 | test_win_certutil.py | 142 | Add tests, fix state module | 54,255 | 0 | 201 | 64 | 36 | 215,928 | 46 | salt | 12 | tests/pytests/unit/modules/test_win_certutil.py | Python | 21 | {
"docstring": "\n Test getting all the serial numbers from a store\n ",
"language": "en",
"n_whitespaces": 16,
"n_words": 9,
"vocab_size": 9
} | https://github.com/saltstack/salt.git | |
3 | build_partition | def build_partition(cls, partition_ids, column_widths):
return np.array(
[
[
cls.frame_partition_cls(
part_id[0],
length=part_id[2],
width=col_width,
)
... | 8864bc197974da6d8cda2de2f35ca31d561be1cc | 13 | parquet_dispatcher.py | 81 | PERF-#4305: Parallelize `read_parquet` over row groups (#4700)
Co-authored-by: mvashishtha <mahesh@ponder.io> | 35,794 | 0 | 240 | 56 | 21 | 154,121 | 26 | modin | 13 | modin/core/io/column_stores/parquet_dispatcher.py | Python | 14 | {
"docstring": "\n Build array with partitions of `cls.frame_partition_cls` class.\n\n Parameters\n ----------\n partition_ids : list\n Array with references to the partitions data.\n column_widths : list\n Number of columns in each partition.\n\n Return... | https://github.com/modin-project/modin.git | |
5 | __new__ | def __new__(cls, stylename, **kwargs):
# The "class" should have the _style_list attribute, which is a mapping
# of style names to style classes.
_list = stylename.replace(" ", "").split(",")
_name = _list[0].lower()
try:
_cls = cls._style_list[_name]
... | 075ff0952896f44d7d0b0b3318f0978ae53f84d7 | 12 | patches.py | 208 | Small style fixes. | 23,015 | 0 | 201 | 120 | 59 | 108,011 | 76 | matplotlib | 20 | lib/matplotlib/patches.py | Python | 13 | {
"docstring": "Return the instance of the subclass with the given style name.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 9
} | https://github.com/matplotlib/matplotlib.git | |
1 | get_roi_rel_points_train | def get_roi_rel_points_train(self, mask_pred, labels, cfg):
point_coords = get_uncertain_point_coords_with_randomness(
mask_pred, labels, cfg.num_points, cfg.oversample_ratio,
cfg.importance_sample_ratio)
return point_coords
| c576e5d570bf64a99e2c6817ed7b5c0084a44a55 | 9 | mask_point_head.py | 49 | [Enhance] Take point sample related functions out of mask_point_head (#7353)
add point sample
replace function in mask_point_head | 70,231 | 0 | 58 | 34 | 12 | 244,083 | 15 | mmdetection | 10 | mmdet/models/roi_heads/mask_heads/mask_point_head.py | Python | 5 | {
"docstring": "Get ``num_points`` most uncertain points with random points during\n train.\n\n Sample points in [0, 1] x [0, 1] coordinate space based on their\n uncertainty. The uncertainties are calculated for each point using\n '_get_uncertainty()' function that takes point's logit pre... | https://github.com/open-mmlab/mmdetection.git | |
2 | tempdir_registry | def tempdir_registry() -> Iterator[TempDirectoryTypeRegistry]:
global _tempdir_registry
old_tempdir_registry = _tempdir_registry
_tempdir_registry = TempDirectoryTypeRegistry()
try:
yield _tempdir_registry
finally:
_tempdir_registry = old_tempdir_registry
| f3166e673fe8d40277b804d35d77dcdb760fc3b3 | 9 | temp_dir.py | 53 | check point progress on only bringing in pip==22.0.4 (#4966)
* vendor in pip==22.0.4
* updating vendor packaging version
* update pipdeptree to fix pipenv graph with new version of pip.
* Vendoring of pip-shims 0.7.0
* Vendoring of requirementslib 1.6.3
* Update pip index safety restrictions patch for p... | 3,170 | 0 | 51 | 29 | 12 | 20,001 | 19 | pipenv | 5 | pipenv/patched/notpip/_internal/utils/temp_dir.py | Python | 11 | {
"docstring": "Provides a scoped global tempdir registry that can be used to dictate\n whether directories should be deleted.\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 17,
"vocab_size": 16
} | https://github.com/pypa/pipenv.git | |
1 | lexicographers_mutual_information | def lexicographers_mutual_information(cooccurrence):
with np.errstate(invalid="ignore", divide="ignore"):
result = cooccurrence * mutual_information(cooccurrence)
return np.array(result)
| 1d7341e93d1f03387699fb3c6ae0b6c0e464296f | 11 | python_utils.py | 64 | Add new item similarity metrics for SAR (#1754)
* Add mutual information similarity in SAR
* Add lexicographers mutual information similarity for SAR
* Add cosine similarity for SAR
* Add inclusion index for SAR
* Typos
* Change SARSingleNode to SAR
* Convert item similarity matrix to np.array
* U... | 7,235 | 0 | 28 | 35 | 12 | 39,443 | 12 | recommenders | 9 | recommenders/utils/python_utils.py | Python | 4 | {
"docstring": "Helper method to calculate the Lexicographers Mutual Information of\n a matrix of co-occurrences.\n\n Due to the bias of mutual information for low frequency items,\n lexicographers mutual information corrects the formula by\n multiplying it by the co-occurrence frequency.\n\n Args:\n ... | https://github.com/microsoft/recommenders.git | |
3 | set_title | def set_title(self, title, prop=None):
self._legend_title_box._text.set_text(title)
if title:
self._legend_title_box._text.set_visible(True)
self._legend_title_box.set_visible(True)
else:
self._legend_title_box._text.set_visible(False)
sel... | b9cdf3e2a68bd3d30ad7233b223f88d37044dab3 | 12 | legend.py | 136 | ENH: add the ability to control label alignment in legends
Co-authored-by: Tim Hoffmann <2836374+timhoffm@users.noreply.github.com> | 23,426 | 0 | 118 | 84 | 20 | 109,064 | 21 | matplotlib | 10 | lib/matplotlib/legend.py | Python | 11 | {
"docstring": "\n Set legend title and title style.\n\n Parameters\n ----------\n title : str\n The legend title.\n\n prop : `.font_manager.FontProperties` or `str` or `pathlib.Path`\n The font properties of the legend title.\n If a `str`, it is int... | https://github.com/matplotlib/matplotlib.git | |
1 | get_free_open_trades | def get_free_open_trades(self) -> int:
open_trades = Trade.get_open_trade_count()
return max(0, self.config['max_open_trades'] - open_trades)
| 87a3115073562e9abc7efd792569020435a01f6e | 10 | freqtradebot.py | 50 | Add get_open_trade_count() to simplify getting open trade count. | 34,774 | 0 | 33 | 29 | 12 | 150,503 | 12 | freqtrade | 8 | freqtrade/freqtradebot.py | Python | 7 | {
"docstring": "\n Return the number of free open trades slots or 0 if\n max number of open trades reached\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 17,
"vocab_size": 13
} | https://github.com/freqtrade/freqtrade.git | |
4 | native_unit_of_measurement | def native_unit_of_measurement(self) -> str | None:
raw_units = self.raw_unit_of_measurement
# Check if this is a known index pair UOM
if isinstance(raw_units, dict) or raw_units in (UOM_ON_OFF, UOM_INDEX):
return None
if raw_units in (
UnitOfTemperature.... | a6ddac9004b7f73633f2019f3b5267e1486756c1 | 11 | sensor.py | 94 | Use UnitOfTemperature in integrations (i-m) (#84307) | 96,664 | 0 | 145 | 61 | 33 | 297,698 | 41 | core | 17 | homeassistant/components/isy994/sensor.py | Python | 12 | {
"docstring": "Get the Home Assistant unit of measurement for the device.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
2 | find_target_completion | def find_target_completion(target_func, prefix, short): # type: (t.Callable[[], t.Iterable[CompletionTarget]], str, bool) -> t.List[str]
try:
targets = target_func()
matches = list(walk_completion_targets(targets, prefix, short))
return matches
except Exception as ex: # pylint: di... | 86779cc90376ea70bafa7044b12ce5132409fd63 | 12 | target.py | 74 | ansible-test - Code cleanup.
This helps prepare for a future pylint upgrade. | 78,873 | 0 | 74 | 43 | 30 | 267,383 | 35 | ansible | 10 | test/lib/ansible_test/_internal/target.py | Python | 7 | {
"docstring": "Return a list of targets from the given target function which match the given prefix.",
"language": "en",
"n_whitespaces": 14,
"n_words": 15,
"vocab_size": 13
} | https://github.com/ansible/ansible.git | |
6 | test_pipeline_simple | def test_pipeline_simple(self):
arr = np.random.randint(0, 1000, (1000, 1000))
df = pd.DataFrame(arr)
| 3d4404e9d9a9b2a3327f8aee664a8e71ac1f18b8 | 9 | test_pipeline.py | 51 | FEAT-#4412: Add Batch Pipeline API to Modin (#4452)
Co-authored-by: Yaroslav Igoshev <Poolliver868@mail.ru>
Co-authored-by: Mahesh Vashishtha <mvashishtha@users.noreply.github.com>
Signed-off-by: Rehan Durrani <rehan@ponder.io> | 35,608 | 0 | 32 | 257 | 10 | 153,784 | 11 | modin | 9 | modin/experimental/batch/test/test_pipeline.py | Python | 35 | {
"docstring": "Create a simple pipeline and ensure that it runs end to end correctly.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 12
} | https://github.com/modin-project/modin.git | |
2 | __mul__ | def __mul__(self, factor):
factor = sympify(factor)
coords = [simplify(x*factor) for x in self.args]
return Point(coords, evaluate=False)
| 498015021131af4dbb07eb110e5badaba8250c7b | 10 | point.py | 62 | Updated import locations | 47,775 | 0 | 44 | 39 | 15 | 196,275 | 16 | sympy | 10 | sympy/geometry/point.py | Python | 4 | {
"docstring": "Multiply point's coordinates by a factor.\n\n Notes\n =====\n\n >>> from sympy import Point\n\n When multiplying a Point by a floating point number,\n the coordinates of the Point will be changed to Floats:\n\n >>> Point(1, 2)*0.1\n Point2D(0.1, 0.2)\n\... | https://github.com/sympy/sympy.git | |
2 | value | def value(self):
if hasattr(self, '_m_value'):
return self._m_value
self._m_value = (self.b & 127)
return getattr(self, '_m_value', None)
| 002f919dda5f01d067c2e786426c68751551d15c | 9 | vlq_base128_le.py | 64 | update kaitai definitions | 73,952 | 0 | 75 | 38 | 14 | 252,418 | 16 | mitmproxy | 6 | mitmproxy/contrib/kaitaistruct/vlq_base128_le.py | Python | 5 | {
"docstring": "The 7-bit (base128) numeric value chunk of this group.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/mitmproxy/mitmproxy.git | |
4 | notify | def notify(self, notification, raise_exception=False):
event = notification.event
try:
return self.notify_users(
event.group, event, triggering_rules=[r.label for r in notification.rules]
)
except (
ApiError,
HTTPError,
... | 542484c0cd71625e62e086f3f7c5aaf85360f724 | 16 | notify.py | 175 | fix(plugins): Silence error (#32042) | 19,326 | 0 | 366 | 114 | 45 | 96,559 | 48 | sentry | 26 | src/sentry/plugins/bases/notify.py | Python | 26 | {
"docstring": "\n This calls the notify_users method of the plugin.\n Normally this method eats the error and logs it but if we\n set raise_exception=True like we do for the test plugin button,\n the exception is raised\n ",
"language": "en",
"n_whitespaces": 70,
"n_words": 3... | https://github.com/getsentry/sentry.git | |
1 | create_single_host | def create_single_host(name, variables): # type: (str, t.Dict[str, t.Union[str, int]]) -> Inventory
return Inventory(host_groups=dict(all={name: variables}))
| a06fa496d3f837cca3c437ab6e9858525633d147 | 13 | host_profiles.py | 41 | ansible-test - Code cleanup and refactoring. (#77169)
* Remove unnecessary PyCharm ignores.
* Ignore intentional undefined attribute usage.
* Add missing type hints. Fix existing type hints.
* Fix docstrings and comments.
* Use function to register completion handler.
* Pass strings to display functions.
* Fix C... | 78,585 | 0 | 29 | 24 | 14 | 266,782 | 14 | ansible | 7 | test/lib/ansible_test/_internal/host_profiles.py | Python | 2 | {
"docstring": "Return an inventory instance created from the given hostname and variables.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/ansible/ansible.git | |
1 | test_syncer_hanging_sync_with_timeout | def test_syncer_hanging_sync_with_timeout(temp_data_dirs):
tmp_source, tmp_target = temp_data_dirs
| ed5b9e5439811becd062ef7734b1afceca2c7d07 | 7 | test_syncer.py | 21 | [Tune] Add timeout for experiment checkpoint syncing to cloud (#30855)
#28155 introduced a sync timeout for trainable checkpoint syncing to the cloud, in the case that the sync operation (default is with pyarrow) hangs. This PR adds a similar timeout for experiment checkpoint cloud syncing.
Signed-off-by: Justin Yu... | 31,110 | 0 | 12 | 86 | 6 | 137,248 | 6 | ray | 4 | python/ray/tune/tests/test_syncer.py | Python | 16 | {
"docstring": "Check that syncing times out when the sync process is hanging.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/ray-project/ray.git | |
1 | draw | def draw(self, renderer):
self._set_lims()
# this sets the scale in case the parent has set its scale.
self._set_scale()
super().draw(renderer)
| 8387676bc049d7b3e071846730c632e6ced137ed | 9 | _secondary_axes.py | 48 | Clean up code in SecondaryAxis | 23,725 | 0 | 54 | 26 | 18 | 109,729 | 19 | matplotlib | 6 | lib/matplotlib/axes/_secondary_axes.py | Python | 4 | {
"docstring": "\n Draw the secondary axes.\n\n Consults the parent axes for its limits and converts them\n using the converter specified by\n `~.axes._secondary_axes.set_functions` (or *functions*\n parameter when axes initialized.)\n ",
"language": "en",
"n_whitespaces"... | https://github.com/matplotlib/matplotlib.git | |
3 | decode | def decode(self, bboxes, pred_bboxes, max_shape=None):
bboxes = get_box_tensor(bboxes)
assert len(pred_bboxes) == 2
cls_preds, offset_preds = pred_bboxes
assert cls_preds.size(0) == bboxes.size(0) and offset_preds.size(
0) == bboxes.size(0)
bboxes, loc_confid... | d915740fa8228cf57741b27d9e5d66e358456b8e | 11 | bucketing_bbox_coder.py | 158 | [Refactor] Refactor anchor head and base head with boxlist (#8625)
* Refactor anchor head
* Update
* Update
* Update
* Add a series of boxes tools
* Fix box type to support n x box_dim boxes
* revert box type changes
* Add docstring
* refactor retina_head
* Update
* Update
* Fix commen... | 70,859 | 0 | 254 | 105 | 32 | 245,713 | 44 | mmdetection | 18 | mmdet/models/task_modules/coders/bucketing_bbox_coder.py | Python | 13 | {
"docstring": "Apply transformation `pred_bboxes` to `boxes`.\n Args:\n boxes (torch.Tensor or :obj:`BaseBoxes`): Basic boxes.\n pred_bboxes (torch.Tensor): Predictions for bucketing estimation\n and fine regression\n max_shape (tuple[int], optional): Maximum sh... | https://github.com/open-mmlab/mmdetection.git | |
1 | test_include_block_tag_with_plain_value | def test_include_block_tag_with_plain_value(self):
result = render_to_string(
"tests/blocks/include_block_test.html",
{
"test_block": 42,
},
)
self.assertIn("<body>42</body>", result)
| d10f15e55806c6944827d801cd9c2d53f5da4186 | 11 | test_blocks.py | 51 | Reformat with black | 16,220 | 0 | 89 | 28 | 13 | 74,116 | 13 | wagtail | 5 | wagtail/core/tests/test_blocks.py | Python | 8 | {
"docstring": "\n The include_block tag should be able to render a value without a render_as_block method\n by just rendering it as a string\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 21,
"vocab_size": 19
} | https://github.com/wagtail/wagtail.git | |
40 | meta_from_array | def meta_from_array(x, ndim=None, dtype=None):
# If using x._meta, x must be a Dask Array, some libraries (e.g. zarr)
# implement a _meta attribute that are incompatible with Dask Array._meta
if hasattr(x, "_meta") and isinstance(x, Array):
x = x._meta
if dtype is None and x is None:
... | 7471eb3d1e9ccf085b70b219413aa891c8c2c167 | 21 | utils.py | 816 | masked scalars input to da.from_array (#8895) | 36,621 | 0 | 887 | 524 | 149 | 156,257 | 287 | dask | 42 | dask/array/utils.py | Python | 66 | {
"docstring": "Normalize an array to appropriate meta object\n\n Parameters\n ----------\n x: array-like, callable\n Either an object that looks sufficiently like a Numpy array,\n or a callable that accepts shape and dtype keywords\n ndim: int\n Number of dimensions of the array\n ... | https://github.com/dask/dask.git | |
20 | async_update | async def async_update(self, *, tries=0):
attrs = {}
closer_time = None
try:
yandex_reply = await self.requester.get_stop_info(self._stop_id)
except CaptchaError as ex:
_LOGGER.error(
"%s. You may need to disable the integration for some t... | 62690759d483b03932939d28bbf87ce3b293c486 | 20 | sensor.py | 545 | Move attribution to standalone attribute [t-z] (#80521) | 88,455 | 0 | 1,075 | 316 | 125 | 289,313 | 211 | core | 39 | homeassistant/components/yandex_transport/sensor.py | Python | 56 | {
"docstring": "Get the latest data from maps.yandex.ru and update the states.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
1 | _linear_predictor | def _linear_predictor(self, X):
check_is_fitted(self)
X = self._validate_data(
X,
accept_sparse=["csr", "csc", "coo"],
dtype=[np.float64, np.float32],
ensure_2d=True,
allow_nd=False,
reset=False,
)
return X ... | 75a94f518f7bd7d0bf581ffb67d9f961e3c4efbc | 11 | glm.py | 100 | 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> | 75,775 | 0 | 124 | 65 | 22 | 259,442 | 23 | scikit-learn | 15 | sklearn/linear_model/_glm/glm.py | Python | 11 | {
"docstring": "Compute the linear_predictor = `X @ coef_ + intercept_`.\n\n Note that we often use the term raw_prediction instead of linear predictor.\n\n Parameters\n ----------\n X : {array-like, sparse matrix} of shape (n_samples, n_features)\n Samples.\n\n Returns\n... | https://github.com/scikit-learn/scikit-learn.git | |
2 | async_added_to_hass | async def async_added_to_hass(self):
self.async_on_remove(
self.device.events.async_add_listener(self.async_write_ha_state)
)
if (last_state := await self.async_get_last_state()) is not None:
self._attr_is_on = last_state.state == STATE_ON
| 29a2df3dfcf3b5d1fb6cf20b413e024eb0ebf597 | 11 | binary_sensor.py | 79 | Restore ONVIF sensors (#70393)
Co-authored-by: Paulus Schoutsen <balloob@gmail.com> | 98,171 | 0 | 69 | 47 | 19 | 299,235 | 19 | core | 12 | homeassistant/components/onvif/binary_sensor.py | Python | 6 | {
"docstring": "Connect to dispatcher listening for entity data notifications.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/home-assistant/core.git | |
3 | extensions | def extensions(self) -> list[tuple[int, bytes]]:
ret = []
if self._client_hello.extensions:
for extension in self._client_hello.extensions.extensions:
body = getattr(extension, "_raw_body", extension.body)
ret.append((extension.type, body))
re... | e83ec8390ad6be6a86cfcfc57bce14cb8861bf32 | 13 | tls.py | 100 | `pyupgrade --py39-plus **/*.py` | 73,616 | 0 | 92 | 64 | 21 | 251,164 | 23 | mitmproxy | 13 | mitmproxy/tls.py | Python | 8 | {
"docstring": "The raw list of extensions in the form of `(extension_type, raw_bytes)` tuples.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | https://github.com/mitmproxy/mitmproxy.git | |
1 | build_runtime_context | def build_runtime_context(self) -> "RuntimeContext":
# Defer the import of RuntimeContext until needed to avoid cycles
from ray.runtime_context import RuntimeContext
return RuntimeContext(self)
| 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 7 | runtime_context.py | 36 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,871 | 0 | 49 | 19 | 19 | 132,932 | 21 | ray | 5 | python/ray/util/client/runtime_context.py | Python | 4 | {
"docstring": "Creates a RuntimeContext backed by the properites of this API",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/ray-project/ray.git | |
1 | test_make_tarball_latin1 | def test_make_tarball_latin1(self):
self.test_make_tarball('årchiv') # note this isn't a real word
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 8 | test_archive_util.py | 26 | add python 3.10.4 for windows | 56,856 | 0 | 24 | 12 | 10 | 223,045 | 10 | XX-Net | 3 | python3.10.4/Lib/distutils/tests/test_archive_util.py | Python | 2 | {
"docstring": "\n Mirror test_make_tarball, except filename contains latin characters.\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 7,
"vocab_size": 7
} | https://github.com/XX-net/XX-Net.git | |
2 | ensure_schema_for_first_block | def ensure_schema_for_first_block(self) -> Optional[Union["pyarrow.Schema", type]]:
get_schema = cached_remote_fn(_get_schema)
try:
block = next(self.iter_blocks())
except (StopIteration, ValueError):
# Dataset is empty (no blocks) or was manually cleared.
... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 12 | block_list.py | 113 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,328 | 0 | 128 | 68 | 32 | 130,602 | 39 | ray | 18 | python/ray/data/impl/block_list.py | Python | 13 | {
"docstring": "Ensure that the schema is set for the first block.\n\n Returns None if the block list is empty.\n ",
"language": "en",
"n_whitespaces": 32,
"n_words": 18,
"vocab_size": 15
} | https://github.com/ray-project/ray.git | |
7 | parse257 | def parse257(resp):
if resp[:3] != '257':
raise error_reply(resp)
if resp[3:5] != ' "':
return '' # Not compliant to RFC 959, but UNIX ftpd does this
dirname = ''
i = 5
n = len(resp)
while i < n:
c = resp[i]
i = i+1
if c == '"':
if i >= n ... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 12 | ftplib.py | 158 | add python 3.10.4 for windows | 54,790 | 0 | 171 | 90 | 42 | 217,445 | 68 | XX-Net | 8 | python3.10.4/Lib/ftplib.py | Python | 17 | {
"docstring": "Parse the '257' response for a MKD or PWD request.\n This is a response to a MKD or PWD request: a directory name.\n Returns the directoryname in the 257 reply.",
"language": "en",
"n_whitespaces": 35,
"n_words": 30,
"vocab_size": 21
} | https://github.com/XX-net/XX-Net.git | |
4 | to_bag | def to_bag(df, index=False, format="tuple"):
from ...bag.core import Bag
if not isinstance(df, (DataFrame, Series)):
raise TypeError("df must be either DataFrame or Series")
name = "to_bag-" + tokenize(df, index, format)
if format == "frame":
# Use existing graph and name of df, bu... | 8a6f6a7b95762df4e44bc4d82ce33a7c388a0676 | 15 | io.py | 215 | Move Bag.map_partitions to Blockwise (#8646)
1. Adds `format="frame"` option to `dataframe.io.to_bag` (effectively returning a zero-copy view of the same dask graph, that no-longer tracks meta/divisions)
2. Revises `Bag.map_partitions` to use `blockwise` (and to support the `token=` option)
3. Modifies the ACA code ... | 36,501 | 0 | 176 | 134 | 66 | 155,996 | 77 | dask | 25 | dask/dataframe/io/io.py | Python | 15 | {
"docstring": "Create Dask Bag from a Dask DataFrame\n\n Parameters\n ----------\n index : bool, optional\n If True, the elements are tuples of ``(index, value)``, otherwise\n they're just the ``value``. Default is False.\n format : {\"tuple\", \"dict\", \"frame\"}, optional\n Wheth... | https://github.com/dask/dask.git | |
3 | _get_no_faces | def _get_no_faces(self):
self.output_message = "Frames with no faces"
for frame in tqdm(self._items, desc=self.output_message):
logger.trace(frame) # type:ignore
frame_name = frame["frame_fullname"]
if not self._alignments.frame_has_faces(frame_name):
... | 892d8626ed4e7f834ac5607af59f14f5476d5997 | 12 | jobs.py | 104 | Bugfix: Alignments tool - don't error on from-faces job | 21,067 | 0 | 112 | 60 | 25 | 101,662 | 27 | faceswap | 13 | tools/alignments/jobs.py | Python | 8 | {
"docstring": " yield each frame that has no face match in alignments file ",
"language": "en",
"n_whitespaces": 12,
"n_words": 11,
"vocab_size": 11
} | https://github.com/deepfakes/faceswap.git | |
2 | _perform_invalid_key_test | def _perform_invalid_key_test(self, key, expected_warning):
msg = expected_warning.replace(key, cache.make_key(key))
tests = [
("add", [key, 1]),
("get", [key]),
("set", [key, 1]),
("incr", [key]),
("decr", [key]),
("touch"... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 14 | tests.py | 281 | Refs #33476 -- Reformatted code with Black. | 50,027 | 0 | 259 | 179 | 44 | 201,962 | 54 | django | 19 | tests/cache/tests.py | Python | 19 | {
"docstring": "\n While other backends merely warn, memcached should raise for an invalid\n key.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 12,
"vocab_size": 12
} | https://github.com/django/django.git | |
5 | test_deploy | def test_deploy(self, mock_func):
release = Release.objects.create(
version="meow" * 10,
organization_id=self.project.organization_id,
date_released=timezone.now(),
)
# The projects can appear out of order.
projects = (self.project, self.crea... | b9f5a910dc841b85f58d46266ec049ae5a7fd305 | 14 | test_deploy.py | 440 | ref(models): `ActivityType` (#34978)
## Objective:
We want to separate enum logic from Model logic. This breaks a lot of circular dependencies. | 18,703 | 0 | 573 | 244 | 79 | 90,884 | 111 | sentry | 43 | tests/sentry/integrations/slack/notifications/test_deploy.py | Python | 45 | {
"docstring": "\n Test that a Slack message is sent with the expected payload when a deploy happens.\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 15,
"vocab_size": 14
} | https://github.com/getsentry/sentry.git | |
1 | test_option_then_setting | def test_option_then_setting(self):
args = [
"base_command",
"testlabel",
"--option_a=x",
"--settings=alternate_settings",
]
self._test(args)
| 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 8 | tests.py | 46 | Refs #33476 -- Reformatted code with Black. | 51,933 | 0 | 83 | 24 | 11 | 207,338 | 11 | django | 4 | tests/admin_scripts/tests.py | Python | 8 | {
"docstring": "Options passed before settings are correctly handled.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | https://github.com/django/django.git | |
6 | _pandas_dtype_needs_early_conversion | def _pandas_dtype_needs_early_conversion(pd_dtype):
try:
from pandas.api.types import (
is_extension_array_dtype,
is_float_dtype,
is_integer_dtype,
is_sparse,
)
except ImportError:
return False
if is_sparse(pd_dtype) or not is_ext... | ee5a1b69d1dfa99635a10f0a5b54ec263cedf866 | 9 | validation.py | 105 | DOC, MNT Typos found by codespell (#22906) | 75,712 | 0 | 224 | 62 | 61 | 259,327 | 82 | scikit-learn | 10 | sklearn/utils/validation.py | Python | 17 | {
"docstring": "Return True if pandas extension pd_dtype need to be converted early.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/scikit-learn/scikit-learn.git | |
14 | on_motion | def on_motion(self, etype, me):
if self.disabled or me.dispatch_mode == MODE_DONT_DISPATCH:
return
if me.type_id not in self.motion_filter:
return
filtered = self.motion_filter[me.type_id]
if filtered[0] is self and len(filtered) == 1:
return
... | 1830123ba3edf7290b7c6cb1c6f406ccf1d0e5d4 | 12 | widget.py | 233 | Feature: EventManagerBase (#7658)
* Added EventManagerBase class and event_managers attribute to WindowBase class.
* Added on_motion event to Widget class.
* Updated post_dispatch_input in EventLoopBase to skip non-touch events.
* Using type ids in MouseMotionEventProvider.
* Added on_motion method to Widget subcl... | 46,982 | 0 | 317 | 148 | 43 | 194,458 | 80 | kivy | 18 | kivy/uix/widget.py | Python | 20 | {
"docstring": "Called when a motion event is received.\n\n :Parameters:\n `etype`: `str`\n Event type, one of \"begin\", \"update\" or \"end\"\n `me`: :class:`~kivy.input.motionevent.MotionEvent`\n Received motion event\n :Returns: `bool`\n ... | https://github.com/kivy/kivy.git | |
9 | call_ef | def call_ef(self, other_args):
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="ef",
description=,
)
parser.add_argument(
"-vs",
"--value-short",
... | 83377868b25b91b608f04cbda9383f838dff74cd | 13 | po_controller.py | 668 | PO_controller refactoring and tests (#2725)
* Adding tests
* Added tests to po_controller
* Refactored po controller
* fix custom_resets
* fix load
* add disable timeout
* pylint
Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt>
Co-authored-by: montezdesousa <79287829+montezdesousa@users.noreply.github... | 85,488 | 0 | 1,230 | 436 | 133 | 285,988 | 176 | OpenBBTerminal | 73 | openbb_terminal/portfolio/portfolio_optimization/po_controller.py | Python | 95 | {
"docstring": "Process ef commandThis function plots random portfolios based on their\n risk and returns and shows the efficient frontier.",
"language": "en",
"n_whitespaces": 32,
"n_words": 18,
"vocab_size": 17
} | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
2 | is_pinned | def is_pinned(self) -> bool:
specifiers = self.specifier
return len(specifiers) == 1 and next(iter(specifiers)).operator in {"==", "==="}
| f3166e673fe8d40277b804d35d77dcdb760fc3b3 | 12 | req_install.py | 63 | check point progress on only bringing in pip==22.0.4 (#4966)
* vendor in pip==22.0.4
* updating vendor packaging version
* update pipdeptree to fix pipenv graph with new version of pip.
* Vendoring of pip-shims 0.7.0
* Vendoring of requirementslib 1.6.3
* Update pip index safety restrictions patch for p... | 3,159 | 0 | 37 | 36 | 16 | 19,953 | 16 | pipenv | 9 | pipenv/patched/notpip/_internal/req/req_install.py | Python | 7 | {
"docstring": "Return whether I am pinned to an exact version.\n\n For example, some-package==1.2 is pinned; some-package>1.2 is not.\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 17,
"vocab_size": 16
} | https://github.com/pypa/pipenv.git | |
1 | _generate_legacy_events_context_id_query | def _generate_legacy_events_context_id_query() -> Select:
# This can be removed once we no longer have event_ids in the states table
return (
select(
*EVENT_COLUMNS,
literal(value=None, type_=sqlalchemy.String).label("shared_data"),
States.state,
Stat... | 26177bd080b4eb6d11cfd9fbdd158be36f4983d4 | 22 | __init__.py | 151 | Convert logbook to use lambda_stmt (#71624) | 99,183 | 0 | 183 | 98 | 41 | 300,319 | 45 | core | 24 | homeassistant/components/logbook/__init__.py | Python | 18 | {
"docstring": "Generate a legacy events context id query that also joins states.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/home-assistant/core.git | |
1 | test_poisson_glmnet | def test_poisson_glmnet():
# library("glmnet")
# options(digits=10)
# df <- data.frame(a=c(-2,-1,1,2), b=c(0,0,1,1), y=c(0,1,1,2))
# x <- data.matrix(df[,c("a", "b")])
# y <- df$y
# fit <- glmnet(x=x, y=y, alpha=0, intercept=T, family="poisson",
# standardize=F, thresh=1e-... | 75a94f518f7bd7d0bf581ffb67d9f961e3c4efbc | 12 | test_glm.py | 170 | 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> | 75,787 | 0 | 199 | 123 | 58 | 259,457 | 78 | scikit-learn | 17 | sklearn/linear_model/_glm/tests/test_glm.py | Python | 12 | {
"docstring": "Compare Poisson regression with L2 regularization and LogLink to glmnet",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/scikit-learn/scikit-learn.git | |
2 | detect_reporter | def _detect_reporter(**kwargs) -> TuneReporterBase:
if IS_NOTEBOOK:
kwargs.setdefault("overwrite", not has_verbosity(Verbosity.V2_TRIAL_NORM))
progress_reporter = JupyterNotebookReporter(**kwargs)
else:
progress_reporter = CLIReporter(**kwargs)
return progress_reporter
| eb69c1ca286a2eec594f02ddaf546657a8127afd | 13 | progress_reporter.py | 78 | [air] Add annotation for Tune module. (#27060)
Co-authored-by: Kai Fricke <kai@anyscale.com> | 28,098 | 0 | 51 | 44 | 15 | 126,228 | 18 | ray | 11 | python/ray/tune/progress_reporter.py | Python | 14 | {
"docstring": "Detect progress reporter class.\n\n Will return a :class:`JupyterNotebookReporter` if a IPython/Jupyter-like\n session was detected, and a :class:`CLIReporter` otherwise.\n\n Keyword arguments are passed on to the reporter class.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words":... | https://github.com/ray-project/ray.git | |
5 | _w_intercept_raw | def _w_intercept_raw(self, coef, X):
if not self.base_loss.is_multiclass:
if self.fit_intercept:
intercept = coef[-1]
weights = coef[:-1]
else:
intercept = 0.0
weights = coef
raw_prediction = X @ weights... | d8d5637cfe372dd353dfc9f79dbb63c3189a9ecc | 16 | _linear_loss.py | 216 | ENH Loss module LogisticRegression (#21808)
* ENH replace loss in linear logistic regression
* MNT remove logistic regression's own loss functions
* CLN remove comment
* DOC add whatsnew
* DOC more precise whatsnew
* CLN restore improvements of #19571
* ENH improve fit time by separating mat-vec in m... | 75,421 | 0 | 340 | 136 | 41 | 258,777 | 77 | scikit-learn | 15 | sklearn/linear_model/_linear_loss.py | Python | 21 | {
"docstring": "Helper function to get coefficients, intercept and raw_prediction.\n\n Parameters\n ----------\n coef : ndarray of shape (n_dof,), (n_classes, n_dof) or (n_classes * n_dof,)\n Coefficients of a linear model.\n If shape (n_classes * n_dof,), the classes of one... | https://github.com/scikit-learn/scikit-learn.git | |
3 | _make_class_weight_map_fn | def _make_class_weight_map_fn(class_weight):
class_ids = list(sorted(class_weight.keys()))
expected_class_ids = list(range(len(class_ids)))
if class_ids != expected_class_ids:
error_msg = (
"Expected `class_weight` to be a dict with keys from 0 to one less "
"than the nu... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 13 | data_adapter.py | 123 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 80,688 | 0 | 116 | 76 | 43 | 271,103 | 48 | keras | 17 | keras/engine/data_adapter.py | Python | 14 | {
"docstring": "Applies class weighting to a `Dataset`.\n\n The `Dataset` is assumed to be in format `(x, y)` or `(x, y, sw)`, where\n `y` must be a single `Tensor`.\n\n Args:\n class_weight: A map where the keys are integer class ids and values are\n the class weights, e.g. `{0: 0.2, 1: 0.6, 2: ... | https://github.com/keras-team/keras.git | |
2 | convert_continuos_f0 | def convert_continuos_f0(f0):
# get uv information as binary
f0 = np.copy(f0)
uv = np.float32(f0 != 0)
# get start and end of f0
if (f0 == 0).all():
print("| all of the f0 values are 0.")
return uv, f0
start_f0 = f0[f0 != 0][0]
end_f0 = f0[f0 != 0][-1]
# padding st... | 7eef3bfde63d03acbd1fc9a15a5e56bef47c0ef7 | 12 | cwt.py | 255 | Add Diffsinger Module (#2120)
* add diffsinger
* update README
* update README | 10,585 | 0 | 168 | 159 | 58 | 52,497 | 97 | PaddleHub | 19 | modules/audio/svs/diffsinger/utils/cwt.py | Python | 16 | {
"docstring": "CONVERT F0 TO CONTINUOUS F0\n Args:\n f0 (ndarray): original f0 sequence with the shape (T)\n Return:\n (ndarray): continuous f0 with the shape (T)\n ",
"language": "en",
"n_whitespaces": 46,
"n_words": 23,
"vocab_size": 15
} | https://github.com/PaddlePaddle/PaddleHub.git | |
1 | test_dates | def test_dates(self, mock_handler):
df = pd.DataFrame([
{'a': 1, 'b': dt.datetime(2020, 1, 1)},
{'a': 2, 'b': dt.datetime(2020, 1, 2)},
{'a': 1, 'b': dt.datetime(2020, 1, 3)},
])
self.set_handler(mock_handler, name='pg', tables={'tasks': df})
# --- us... | 5b1cd41a6202873e49c9ec43c770cf7d1f700adb | 13 | test_executor.py | 320 | keep datetype from predictor | 25,689 | 0 | 297 | 198 | 57 | 116,198 | 81 | mindsdb | 26 | tests/unit/test_executor.py | Python | 31 | {
"docstring": "\n SELECT a, last(b)\n FROM (\n SELECT res.a, res.b \n FROM pg.tasks as source\n JOIN mindsdb.task_model as res\n ) \n group by 1\n order by a\n ",
"language": "en",
"n_whitespaces": 133,
"... | https://github.com/mindsdb/mindsdb.git | |
2 | isfuture | def isfuture(obj):
return (hasattr(obj.__class__, '_asyncio_future_blocking') and
obj._asyncio_future_blocking is not None)
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 10 | base_futures.py | 41 | add python 3.10.4 for windows | 55,982 | 0 | 27 | 24 | 10 | 220,370 | 10 | XX-Net | 5 | python3.10.4/Lib/asyncio/base_futures.py | Python | 3 | {
"docstring": "Check for a Future.\n\n This returns True when obj is a Future instance or is advertising\n itself as duck-type compatible by setting _asyncio_future_blocking.\n See comment in Future for more details.\n ",
"language": "en",
"n_whitespaces": 42,
"n_words": 30,
"vocab_size": 26
} | https://github.com/XX-net/XX-Net.git | |
4 | density | def density(w, **kwargs):
if kwargs:
warnings.warn(
"Additional keyword arguments are deprecated in version 1.2 and will be"
" removed in version 1.4.",
FutureWarning,
)
if hasattr(w, "toarray"):
d = float(w.nnz) / (w.shape[0] * w.shape[1])
e... | 5d8a1994620713c2e4226fb8e40fef7e81af1103 | 17 | extmath.py | 135 | API Deprecate the extra keyword arguments of utils.extmath.density (#24523)
Co-authored-by: Meekail Zain <34613774+Micky774@users.noreply.github.com>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 76,700 | 0 | 126 | 82 | 42 | 261,230 | 50 | scikit-learn | 13 | sklearn/utils/extmath.py | Python | 12 | {
"docstring": "Compute density of a sparse vector.\n\n Parameters\n ----------\n w : array-like\n The sparse vector.\n **kwargs : keyword arguments\n Ignored.\n\n .. deprecated:: 1.2\n ``**kwargs`` were deprecated in version 1.2 and will be removed in\n 1.4.\n\n... | https://github.com/scikit-learn/scikit-learn.git | |
1 | get_faces_in_frame | def get_faces_in_frame(self, frame_name):
logger.trace("Getting faces for frame_name: '%s'", frame_name)
return self._data.get(frame_name, {}).get("faces", [])
| 5e73437be47f2410439a3c6716de96354e6a0c94 | 10 | alignments.py | 61 | lib.align updates:
- alignments.py
- Add typed dicts for imported alignments
- Explicitly check for presence of thumb value in alignments dict
- linting
- detected_face.py
- Typing
- Linting
- Legacy support for pre-aligned face
- Update dependencies to new property names | 20,639 | 0 | 34 | 36 | 13 | 101,219 | 13 | faceswap | 7 | lib/align/alignments.py | Python | 3 | {
"docstring": " Obtain the faces from :attr:`data` associated with a given frame_name.\n\n Parameters\n ----------\n frame_name: str\n The frame name to return faces for. This should be the base name of the frame, not the\n full path\n\n Returns\n -------\n ... | https://github.com/deepfakes/faceswap.git | |
1 | test_switch_change_alarm_state | async def test_switch_change_alarm_state(hass, utcnow):
helper = await setup_test_component(hass, create_security_system_service)
await hass.services.async_call(
"alarm_control_panel",
"alarm_arm_home",
{"entity_id": "alarm_control_panel.testdevice"},
blocking=True,
)
... | 58b8c30221a6f6e5acbbe98b7e3298b03fb741f5 | 11 | test_alarm_control_panel.py | 290 | Improve homekit_controller tests (#65266) | 110,111 | 0 | 363 | 177 | 28 | 311,446 | 69 | core | 14 | tests/components/homekit_controller/test_alarm_control_panel.py | Python | 50 | {
"docstring": "Test that we can turn a HomeKit alarm on and off again.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | https://github.com/home-assistant/core.git | |
3 | test_cache_multiple_objects | def test_cache_multiple_objects(self):
sites = Site.objects.all()
search_backend.cache(sites)
content_type = ContentType.objects.get_for_model(Site)
self.assertEqual(
CachedValue.objects.filter(object_type=content_type).count(),
len(SiteIndex.fields) * s... | 9628dead07ccef9608b32906aa8194bc948e5a09 | 16 | test_search.py | 180 | Closes #10560: New global search (#10676)
* Initial work on new search backend
* Clean up search backends
* Return only the most relevant result per object
* Clear any pre-existing cached entries on cache()
* #6003: Implement global search functionality for custom field values
* Tweak field weights & do... | 78,238 | 0 | 299 | 116 | 30 | 265,901 | 34 | netbox | 28 | netbox/netbox/tests/test_search.py | Python | 19 | {
"docstring": "\n Test that multiples objects are cached appropriately\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 7,
"vocab_size": 7
} | https://github.com/netbox-community/netbox.git | |
4 | convert | def convert(gr, raw_node):
type, value, context, children = raw_node
if children or type in gr.number2symbol:
# If there's exactly one child, return that child instead of
# creating a new node.
if len(children) == 1:
return children[0]
return Node(type, children,... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 11 | pytree.py | 97 | add python 3.10.4 for windows | 55,497 | 0 | 104 | 63 | 38 | 218,844 | 46 | XX-Net | 11 | python3.10.4/Lib/lib2to3/pytree.py | Python | 8 | {
"docstring": "\n Convert raw node information to a Node or Leaf instance.\n\n This is passed to the parser driver which calls it whenever a reduction of a\n grammar rule produces a new complete node, so that the tree is build\n strictly bottom-up.\n ",
"language": "en",
"n_whitespaces": 56,
"n_... | https://github.com/XX-net/XX-Net.git | |
2 | has_lib | def has_lib(self):
return (self.distribution.has_pure_modules() or
self.distribution.has_ext_modules())
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 10 | install.py | 42 | add python 3.10.4 for windows | 56,722 | 0 | 35 | 24 | 6 | 222,741 | 6 | XX-Net | 5 | python3.10.4/Lib/distutils/command/install.py | Python | 3 | {
"docstring": "Returns true if the current distribution has any Python\n modules to install.",
"language": "en",
"n_whitespaces": 18,
"n_words": 12,
"vocab_size": 12
} | https://github.com/XX-net/XX-Net.git | |
1 | get_all_providers | def get_all_providers() -> List[str]:
from setup import PROVIDERS_REQUIREMENTS
return list(PROVIDERS_REQUIREMENTS.keys())
| 3ed07474649b1e202f9b106105fef21f7b2cfddc | 9 | verify_providers.py | 41 | Seperate provider verification as standalone breeze command (#23454)
This is another step in simplifying and converting to Python all of
the CI/local development tooling.
This PR separates out verification of providers as a separate
breeze command `verify-provider-packages`. It was previously part of
"prepare_pr... | 9,376 | 0 | 19 | 23 | 10 | 48,147 | 10 | airflow | 7 | scripts/in_container/verify_providers.py | Python | 7 | {
"docstring": "\n Returns all providers for regular packages.\n :return: list of providers that are considered for provider packages\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 16,
"vocab_size": 14
} | https://github.com/apache/airflow.git | |
1 | test_orderby_percentile_with_many_fields_transactions_unsupported_fields | def test_orderby_percentile_with_many_fields_transactions_unsupported_fields(self):
response = self.get_response(
self.organization.slug,
field=[
"p50(sentry.transactions.measurements.lcp)",
"sum(user_misery)",
],
statsPeri... | 9af098891a8243d08ee5ab6e51925a082135e3f2 | 11 | test_organization_metrics.py | 123 | feat(metrics): Support multi-field orderby for performance [INGEST-805] (#31162)
* feat(metrics): Support metrics multi-field orderby queries
Adds support for the performance table to the
metrics organization data endpoint | 19,226 | 0 | 219 | 71 | 34 | 95,663 | 37 | sentry | 14 | tests/sentry/api/endpoints/test_organization_metrics.py | Python | 18 | {
"docstring": "\n Test that contains a field in the `select` that is performance related but currently\n not supported should return a 400\n ",
"language": "en",
"n_whitespaces": 42,
"n_words": 20,
"vocab_size": 18
} | https://github.com/getsentry/sentry.git | |
3 | get_result | def get_result(self) -> Any:
if not self._complete.is_set():
logger.warning("Aborting attempt to retrieve result from a LongRunningTask that is "
"still running")
return None
if self.err:
logger.debug("Error caught in thread")
... | dc18c74eea0c7837a820d27628cb12b0824fa30e | 11 | utils.py | 177 | Bugfix: Preview for extract in batch mode | 20,914 | 0 | 182 | 102 | 35 | 101,502 | 45 | faceswap | 17 | lib/gui/utils.py | Python | 23 | {
"docstring": " Return the result from the given task.\n\n Returns\n -------\n varies:\n The result of the thread will depend on the given task. If a call is made to\n :func:`get_result` prior to the thread completing its task then ``None`` will be\n returned\n ... | https://github.com/deepfakes/faceswap.git | |
1 | get_snap_revisions | def get_snap_revisions(snap, version):
print('Getting revision numbers for', snap, version)
cmd = ['snapcraft', 'status', snap]
process = subprocess.run(cmd, check=True, stdout=subprocess.PIPE, universal_newlines=True)
pattern = f'^\s+candidate\s+{version}\s+(\d+)\s*'
revisions = re.findall(pat... | 39e8d14e1b221bf37526cc05ecc83beee30a3c57 | 10 | finish_release.py | 148 | Set up 2.0 pre-releases (#9400)
* update credential info
* update release tooling to use candidate channel
* split deploy jobs
* pass parameter through
* add 2.0 pipeline prerelease
* add comments
* quote file path | 45,646 | 0 | 70 | 79 | 41 | 186,893 | 46 | certbot | 19 | tools/finish_release.py | Python | 8 | {
"docstring": "Finds the revisions for the snap and version in the candidate channel.\n\n If you call this function without being logged in with snapcraft, it\n will hang with no output.\n\n :param str snap: the name of the snap on the snap store\n :param str version: snap version number, e.g. 1.7.0\n\n ... | https://github.com/certbot/certbot.git | |
2 | dup_zz_mignotte_bound | def dup_zz_mignotte_bound(f, K):
from sympy.functions.combinatorial.factorials import binomial
d = dup_degree(f)
delta = _ceil(d / 2)
delta2 = _ceil(delta / 2)
# euclidean-norm
eucl_norm = K.sqrt( sum( [cf**2 for cf in f] ) )
# biggest values of binomial coefficients (p. 538 of refere... | e0dc14eca132f37c5f49369eb4051eae37c9b119 | 12 | factortools.py | 197 | Refactored import ordering in functions | 48,311 | 0 | 155 | 123 | 65 | 197,054 | 104 | sympy | 24 | sympy/polys/factortools.py | Python | 13 | {
"docstring": "\n The Knuth-Cohen variant of Mignotte bound for\n univariate polynomials in `K[x]`.\n\n Examples\n ========\n\n >>> from sympy.polys import ring, ZZ\n >>> R, x = ring(\"x\", ZZ)\n\n >>> f = x**3 + 14*x**2 + 56*x + 64\n >>> R.dup_zz_mignotte_bound(f)\n 152\n\n By checking... | https://github.com/sympy/sympy.git | |
1 | require_accelerate | def require_accelerate(test_case):
return unittest.skipUnless(is_accelerate_available(), "test requires accelerate")(test_case)
| 2fbb237967f5d1b2eb65c2131954f23a24bd29ef | 10 | testing_utils.py | 37 | Add the auto_find_batch_size capability from Accelerate into Trainer (#17068)
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
- Adds auto_batch_size finder
- Moves training loop to an inner training loop | 6,873 | 0 | 13 | 20 | 7 | 37,824 | 7 | transformers | 5 | src/transformers/testing_utils.py | Python | 2 | {
"docstring": "\n Decorator marking a test that requires accelerate. These tests are skipped when accelerate isn't installed.\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 15,
"vocab_size": 15
} | https://github.com/huggingface/transformers.git | |
3 | get_strategy_run_id | def get_strategy_run_id(strategy) -> str:
digest = hashlib.sha1()
config = deepcopy(strategy.config)
# Options that have no impact on results of individual backtest.
not_important_keys = ('strategy_list', 'original_config', 'telegram', 'api_server')
for k in not_important_keys:
if k in... | 16861db653ec8166f73fc8480894f186a137e7bd | 13 | misc.py | 184 | Implement previous backtest result reuse when config and strategy did not change. | 34,273 | 0 | 133 | 107 | 44 | 148,500 | 48 | freqtrade | 23 | freqtrade/misc.py | Python | 18 | {
"docstring": "\n Generate unique identification hash for a backtest run. Identical config and strategy file will\n always return an identical hash.\n :param strategy: strategy object.\n :return: hex string id.\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 27,
"vocab_size": 26
} | https://github.com/freqtrade/freqtrade.git | |
10 | fit | def fit(self, X, y=None):
self._validate_params()
dtype = bool if self.metric in PAIRWISE_BOOLEAN_FUNCTIONS else float
if dtype == bool and X.dtype != bool:
msg = (
"Data will be converted to boolean for"
f" metric {self.metric}, to avoid thi... | ed3172b6c5c733906ce3aa2316c4ad60b5c26d10 | 15 | _optics.py | 528 | MAINT Parameters validation for OPTICS (#24326)
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 76,498 | 0 | 908 | 336 | 132 | 260,794 | 179 | scikit-learn | 52 | sklearn/cluster/_optics.py | Python | 60 | {
"docstring": "Perform OPTICS clustering.\n\n Extracts an ordered list of points and reachability distances, and\n performs initial clustering using ``max_eps`` distance specified at\n OPTICS object instantiation.\n\n Parameters\n ----------\n X : {ndarray, sparse matrix} of... | https://github.com/scikit-learn/scikit-learn.git | |
1 | _filter_boxes | def _filter_boxes(self, patch, boxes):
center = boxes.centers.numpy()
mask = (center[:, 0] > patch[0]) * (center[:, 1] > patch[1]) * (
center[:, 0] < patch[2]) * (
center[:, 1] < patch[3])
return mask
| af063a6f25ddae4de90646f86b2db824f3d00138 | 13 | transforms.py | 117 | [Refactor] Refactor pipelines with boxlist. (#8562)
* Refactor pipelines and data_preprocesser by boxlist
* Refactor browse_dataset.py
* Update
* Update
* Update
* Update
* update
* Update
* Change with_box_wrapped to with_boxlist
* Fix comments
* Fix commits
* Update UT | 70,808 | 0 | 86 | 78 | 21 | 245,502 | 32 | mmdetection | 8 | mmdet/datasets/transforms/transforms.py | Python | 6 | {
"docstring": "Check whether the center of each box is in the patch.\n\n Args:\n patch (list[int]): The cropped area, [left, top, right, bottom].\n boxes (numpy array, (N x 4)): Ground truth boxes.\n\n Returns:\n mask (numpy array, (N,)): Each box is inside or outside t... | https://github.com/open-mmlab/mmdetection.git | |
3 | _normalize_index | def _normalize_index(index, axis_size):
if issubdtype(_dtype(index), np.unsignedinteger):
return index
if core.is_constant_dim(axis_size):
axis_size_val = _lax_const(index, axis_size)
else:
axis_size_val = lax.convert_element_type(core.dimension_as_value(axis_size),
... | 92ca76a0395ad32423e681b6d6ce6d84c361852b | @_wraps(np.take_along_axis, update_doc=False,
lax_description=TAKE_ALONG_AXIS_DOC)
@partial(jit, static_argnames=('axis', 'mode')) | 13 | lax_numpy.py | 188 | Skip normalization of unsigned indices | 26,806 | 1 | 107 | 89 | 29 | 120,261 | 35 | jax | 25 | jax/_src/numpy/lax_numpy.py | Python | 12 | {
"docstring": "Normalizes an index value in the range [-N, N) to the range [0, N).\nUnlike :func:`numpy.take_along_axis`, :func:`jax.numpy.take_along_axis` takes\nan optional ``mode`` parameter controlling how out-of-bounds indices should be\nhandled. By default, out-of-bounds indices are clamped into range. In a fu... | https://github.com/google/jax.git |
2 | state_checkpoint_interval | def state_checkpoint_interval(self) -> Optional[int]:
if self._is_finished:
return 1
return 100
| 27b5ba338656b9adbfc8ebd90960a200a14d5935 | 7 | streams.py | 34 | :tada: Source Looker: Migrate to native CDK (#9609) | 494 | 0 | 42 | 20 | 9 | 3,604 | 10 | airbyte | 5 | airbyte-integrations/connectors/source-looker/source_looker/streams.py | Python | 5 | {
"docstring": "this is a workaround: the Airbyte CDK forces for save the latest state after reading of all records",
"language": "en",
"n_whitespaces": 17,
"n_words": 18,
"vocab_size": 17
} | https://github.com/airbytehq/airbyte.git | |
2 | timezone_tag | def timezone_tag(parser, token):
bits = token.split_contents()
if len(bits) != 2:
raise TemplateSyntaxError("'%s' takes one argument (timezone)" % bits[0])
tz = parser.compile_filter(bits[1])
nodelist = parser.parse(("endtimezone",))
parser.delete_first_token()
return TimezoneNode(n... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | @register.tag("get_current_timezone") | 11 | tz.py | 126 | Refs #33476 -- Reformatted code with Black. | 51,491 | 1 | 56 | 67 | 27 | 206,336 | 29 | django | 15 | django/templatetags/tz.py | Python | 8 | {
"docstring": "\n Enable a given time zone just for this block.\n\n The ``timezone`` argument must be an instance of a ``tzinfo`` subclass, a\n time zone name, or ``None``. If it is ``None``, the default time zone is\n used within the block.\n\n Sample usage::\n\n {% timezone \"Europe/Paris\" %... | https://github.com/django/django.git |
18 | update | def update(self) -> None:
with self.lock:
# Fetch valid stop information once
if not self._origin:
stops = self._pygtfs.stops_by_id(self.origin)
if not stops:
self._available = False
_LOGGER.warning("Origin ... | c717fd19de01fc822d146cc5e353959dfa86d5f7 | 17 | sensor.py | 727 | Move attribution to standalone attribute [e-g] (#80513) | 88,424 | 0 | 1,402 | 420 | 141 | 289,281 | 259 | core | 46 | homeassistant/components/gtfs/sensor.py | Python | 72 | {
"docstring": "Get the latest data from GTFS and update the states.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
3 | file_exists | def file_exists(self, filename):
if not self.hass.config.is_allowed_path(filename):
_LOGGER.warning("Path not allowed: %s", filename)
return False
if not os.path.isfile(filename):
_LOGGER.warning("Not a file: %s", filename)
return False
re... | aa57907c1878b5d7bdaf258e0b135c189abb8f27 | 10 | notify.py | 91 | Improve logging for Discord integration (#68160) | 92,734 | 0 | 97 | 54 | 17 | 293,677 | 25 | core | 11 | homeassistant/components/discord/notify.py | Python | 8 | {
"docstring": "Check if a file exists on disk and is in authorized path.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | https://github.com/home-assistant/core.git | |
7 | get | def get(self):
response = {
'learn': False,
'predict': False,
'analyse': False
}
if os.name != 'posix':
return response
for process_type in response:
processes_dir = Path(tempfile.gettempdir()).joinpath(f'mindsdb/proc... | 44d7ef0e08e5144870ad2831ce6e221f9044c47c | @ns_conf.route('/telemetry') | 16 | util.py | 230 | 'files' route | 25,182 | 1 | 316 | 125 | 42 | 114,397 | 55 | mindsdb | 25 | mindsdb/api/http/namespaces/util.py | Python | 22 | {
"docstring": " Checks server use native for learn or analyse.\n Will return right result only on Linux.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 15,
"vocab_size": 15
} | https://github.com/mindsdb/mindsdb.git |
2 | get_task_type_filter_choices | def get_task_type_filter_choices(self):
task_type_choices = [
(model, model.get_verbose_name())
for model in self.task_models
]
task_type_choices.sort(key=lambda task_type: task_type[1].lower())
return task_type_choices
| 284380672da91b5f1d5ea35e01b5b86d7a534dbb | 12 | workflows.py | 73 | add another helper method get_task_type_filter_choices | 15,532 | 0 | 74 | 45 | 16 | 70,612 | 17 | wagtail | 10 | wagtail/admin/views/workflows.py | Python | 7 | {
"docstring": "\n To be called after dispatch(); returns the list of task type choices for filter on \"existing task\" tab\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 18,
"vocab_size": 18
} | https://github.com/wagtail/wagtail.git | |
1 | test_workflow_action_via_edit_view | def test_workflow_action_via_edit_view(self):
# Post
self.client.post(
reverse("wagtailadmin_pages:edit", args=(self.page.id,)),
{
"title": "This title was edited while approving",
"slug": str(self.page.slug),
"content": st... | d10f15e55806c6944827d801cd9c2d53f5da4186 | 13 | test_workflows.py | 271 | Reformat with black | 15,861 | 0 | 374 | 160 | 67 | 72,248 | 99 | wagtail | 26 | wagtail/admin/tests/test_workflows.py | Python | 24 | {
"docstring": "\n Posting to the 'edit' view with 'action-workflow-action' set should perform the given workflow action in addition to updating page content\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 20,
"vocab_size": 18
} | https://github.com/wagtail/wagtail.git | |
1 | test_zeroVector | def test_zeroVector(self):
self.assertTrue(zeroVector(10).__str__().count("0") == 10)
| f0af0c43340763724f139fa68aa1e5a9ffe458b4 | 14 | tests.py | 48 | refactor: clean code
Signed-off-by: slowy07 <slowy.arfy@gmail.com> | 4,413 | 0 | 19 | 26 | 5 | 22,685 | 5 | Python | 6 | linear-algebra-python/src/tests.py | Python | 2 | {
"docstring": "\n test for the global function zeroVector(...)\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | https://github.com/geekcomputers/Python.git | |
1 | test_user_can_supply_a_sidecar_container_and_volume | def test_user_can_supply_a_sidecar_container_and_volume(self):
manifest = KubernetesJob(
command=["echo", "hello"],
job={
"apiVersion": "batch/v1",
"kind": "Job",
"metadata": {"labels": {}},
"spec": {
... | daddc2985f0cba6c6e0ae3903232cbca155e7e91 | 26 | test_kubernetes_job.py | 422 | Port KubernetesFlowRunner tests to KubernetesJob tests | 11,673 | 0 | 989 | 218 | 65 | 57,498 | 101 | prefect | 8 | tests/infrastructure/test_kubernetes_job.py | Python | 43 | {
"docstring": "The user can supply a custom base job that includes more complex\n modifications, like a sidecar container and volumes",
"language": "en",
"n_whitespaces": 25,
"n_words": 19,
"vocab_size": 18
} | https://github.com/PrefectHQ/prefect.git | |
3 | addCondition | def addCondition(self, *fns, **kwargs):
for fn in fns:
self.parseAction.append(conditionAsParseAction(fn, message=kwargs.get('message'),
fatal=kwargs.get('fatal', False)))
self.callDuringTry = self.callDuringTry or kwargs.g... | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 15 | pyparsing.py | 107 | upd; format | 13,297 | 0 | 117 | 66 | 19 | 63,420 | 20 | transferlearning | 12 | .venv/lib/python3.8/site-packages/pip/_vendor/pyparsing.py | Python | 6 | {
"docstring": "Add a boolean predicate function to expression's list of parse actions. See\n :class:`setParseAction` for function call signatures. Unlike ``setParseAction``,\n functions passed to ``addCondition`` need to return boolean success/fail of the condition.\n\n Optional keyword argument... | https://github.com/jindongwang/transferlearning.git | |
4 | call_arktrades | def call_arktrades(self, other_args):
parser = argparse.ArgumentParser(
add_help=False,
prog="arktrades",
description=,
)
parser.add_argument(
"-l",
"--limit",
help="Limit of rows to show",
dest="limit",... | 42b1acf5c3d2f9e9922ac8c4e956fffc08a5d7ae | 11 | dd_controller.py | 229 | Add an API wrapper for terminal functions to be used in python (#1170)
* Initial implementation of the API wrapper for stocks/disc
* Create a file for helper classes
* Move models namespace class where it belongs... TO THE HELPER_CLASSES🚀
* Add backtesting api wrapper
* Add ba api wrapper
* Add dps api... | 83,747 | 0 | 405 | 143 | 50 | 281,416 | 59 | OpenBBTerminal | 28 | gamestonk_terminal/stocks/due_diligence/dd_controller.py | Python | 36 | {
"docstring": "Process arktrades command\n Get trades for ticker across all ARK funds.\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 11,
"vocab_size": 11
} | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
3 | _solve_svd_design_matrix | def _solve_svd_design_matrix(self, alpha, y, sqrt_sw, X_mean, singvals_sq, U, UT_y):
w = ((singvals_sq + alpha) ** -1) - (alpha**-1)
if self.fit_intercept:
# detect intercept column
normalized_sw = sqrt_sw / np.linalg.norm(sqrt_sw)
intercept_dim = _find_small... | 1fc86b6aacd89da44a3b4e8abf7c3e2ba4336ffe | 12 | _ridge.py | 220 | MNT Update black to stable version (#22474) | 75,474 | 0 | 202 | 143 | 57 | 258,898 | 76 | scikit-learn | 25 | sklearn/linear_model/_ridge.py | Python | 11 | {
"docstring": "Compute dual coefficients and diagonal of G^-1.\n\n Used when we have an SVD decomposition of X\n (n_samples > n_features and X is dense).\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 23,
"vocab_size": 20
} | https://github.com/scikit-learn/scikit-learn.git | |
3 | test_parallel_state_with_long_tag | def test_parallel_state_with_long_tag(state, state_tree):
short_command = "helloworld"
long_command = short_command * 25
sls_contents = .format(
short_command, long_command
)
with pytest.helpers.temp_file("issue-49738.sls", sls_contents, state_tree):
ret = state.sls(
... | f2a783643de61cac1ff3288b40241e5ce6e1ddc8 | @pytest.mark.skip_on_darwin(reason="Test is broken on macosx")
@pytest.mark.skip_on_windows(
reason=(
"Functional testing this on windows raises unicode errors. "
"Tested in tests/pytests/integration/modules/state/test_state.py"
)
) | 12 | test_state.py | 209 | Update to latest ``pyupgrade`` hook. Stop skipping it on CI.
Signed-off-by: Pedro Algarvio <palgarvio@vmware.com> | 54,306 | 1 | 184 | 97 | 67 | 215,988 | 86 | salt | 22 | tests/pytests/functional/modules/state/test_state.py | Python | 26 | {
"docstring": "\n This tests the case where the state being executed has a long ID dec or\n name and states are being run in parallel. The filenames used for the\n parallel state cache were previously based on the tag for each chunk,\n and longer ID decs or name params can cause the cache file to be long... | https://github.com/saltstack/salt.git |
2 | process_downloaded_dataset | def process_downloaded_dataset(self):
makedirs(self.processed_temp_path, exist_ok=True)
for dataset in ["training", "testing"]:
print(f">>> create ludwig formatted {dataset} data")
labels, images = self.read_source_dataset(dataset, self.raw_dataset_path)
self... | 89d18365c41c4ded68edd2095349ce4a6caf5d18 | 12 | __init__.py | 141 | Removes skimage and imageio dependencies replacing imsave with torchvision.utils.save_image (#1694) | 901 | 0 | 106 | 84 | 31 | 5,992 | 31 | ludwig | 18 | ludwig/datasets/mnist/__init__.py | Python | 9 | {
"docstring": "Read the training and test directories and write out a csv containing the training path and the\n label.",
"language": "en",
"n_whitespaces": 24,
"n_words": 18,
"vocab_size": 13
} | https://github.com/ludwig-ai/ludwig.git | |
5 | stack | def stack(self, level=-1, dropna=True): # noqa: PR01, RT01, D200
if not isinstance(self.columns, pandas.MultiIndex) or (
isinstance(self.columns, pandas.MultiIndex)
and is_list_like(level)
and len(level) == self.columns.nlevels
):
return self._re... | b541b6c18e6fb4515e998b9b4f88528490cf69c6 | 14 | dataframe.py | 148 | REFACTOR-#3948: Use `__constructor__` in `DataFrame` and `Series` classes (#5485)
Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com> | 36,398 | 0 | 171 | 95 | 28 | 155,483 | 35 | modin | 15 | modin/pandas/dataframe.py | Python | 13 | {
"docstring": "\n Stack the prescribed level(s) from columns to index.\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 8,
"vocab_size": 8
} | https://github.com/modin-project/modin.git | |
1 | set_seed | def set_seed(seed):
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
| 5fdb54ece78b5d277fe26a3865beca8da0430495 | 8 | igf.py | 59 | Add Information Gain Filtration algorithm (#16953)
* Add information gain filtration algorithm
* Complying with black requirements
* Added author
* Fixed import order
* flake8 corrections
Co-authored-by: Javier Turek <javier.turek@intel.com> | 6,997 | 0 | 21 | 34 | 6 | 38,629 | 6 | transformers | 8 | examples/research_projects/information-gain-filtration/igf/igf.py | Python | 5 | {
"docstring": "\n For reproducible training\n\n Args:\n seed: A seed for reproducible training\n\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 10,
"vocab_size": 8
} | https://github.com/huggingface/transformers.git | |
11 | test_step | def test_step(self, data):
data = data_adapter.expand_1d(data)
x, y, sample_weight = data_adapter.unpack_x_y_sample_weight(data)
# These next two lines differ from the base method - they avoid issues when the labels are in
# the input dict (and loss is computed internally)
... | 44eaa2b3036c5c9a83ed781e08e3dc50aae193a9 | 16 | modeling_tf_utils.py | 323 | Update TF test_step to match train_step (#15111)
* Update TF test_step to match train_step
* Update compile() warning to be clearer about what to pass | 6,190 | 0 | 425 | 196 | 108 | 34,046 | 173 | transformers | 31 | src/transformers/modeling_tf_utils.py | Python | 22 | {
"docstring": "\n A modification of Keras's default test_step that cleans up the printed metrics when we use a dummy loss.\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 18,
"vocab_size": 18
} | https://github.com/huggingface/transformers.git | |
7 | get_cloud_sync_client | def get_cloud_sync_client(remote_path):
if remote_path.startswith(S3_PREFIX):
if not distutils.spawn.find_executable("aws"):
raise ValueError(
"Upload uri starting with '{}' requires awscli tool"
" to be installed".format(S3_PREFIX)
)
sync... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | @PublicAPI(stability="beta") | 16 | sync_client.py | 324 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,740 | 1 | 524 | 159 | 76 | 132,330 | 164 | ray | 19 | python/ray/tune/sync_client.py | Python | 43 | {
"docstring": "Returns a CommandBasedClient that can sync to/from remote storage.\n\n Args:\n remote_path (str): Path to remote storage (S3, GS or HDFS).\n\n Raises:\n ValueError if malformed remote_dir.\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 25,
"vocab_size": 24
} | https://github.com/ray-project/ray.git |
1 | test_hvac_mode_vs_hvac_action_current_mode_wrong | async def test_hvac_mode_vs_hvac_action_current_mode_wrong(hass, utcnow):
helper = await setup_test_component(hass, create_thermostat_service)
await helper.async_update(
ServicesTypes.THERMOSTAT,
{
CharacteristicsTypes.TEMPERATURE_CURRENT: 22,
CharacteristicsTypes.T... | 117c12d135039797e5c00e9f1c87ece7f4be13e0 | 11 | test_climate.py | 140 | Fix Eve Thermo always showing as heating in homekit_controller even when off (#80019) | 87,911 | 0 | 147 | 89 | 34 | 288,758 | 39 | core | 19 | tests/components/homekit_controller/test_climate.py | Python | 16 | {
"docstring": "Check that we cope with buggy HEATING_COOLING_CURRENT.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | https://github.com/home-assistant/core.git | |
8 | url_params_from_lookup_dict | def url_params_from_lookup_dict(lookups):
params = {}
if lookups and hasattr(lookups, "items"):
for k, v in lookups.items():
if callable(v):
v = v()
if isinstance(v, (tuple, list)):
v = ",".join(str(x) for x in v)
elif isinstance(v... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 16 | widgets.py | 171 | Refs #33476 -- Reformatted code with Black. | 50,449 | 0 | 181 | 103 | 31 | 203,569 | 47 | django | 15 | django/contrib/admin/widgets.py | Python | 14 | {
"docstring": "\n Convert the type of lookups specified in a ForeignKey limit_choices_to\n attribute to a dictionary of query parameters\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 17,
"vocab_size": 15
} | https://github.com/django/django.git | |
6 | from_biadjacency_matrix | def from_biadjacency_matrix(A, create_using=None, edge_attribute="weight"):
r
G = nx.empty_graph(0, create_using)
n, m = A.shape
# Make sure we get even the isolated nodes of the graph.
G.add_nodes_from(range(n), bipartite=0)
G.add_nodes_from(range(n, n + m), bipartite=1)
# Create an iterabl... | 8a325d26aa7fdd3a72580c4720fa97f971bbefcb | 14 | matrix.py | 243 | Use scipy.sparse array datastructure (#6037)
* Use scipy.sparse array datastructure
* Add reminder to rm wrapper when scipy adds creation fns.
* Rm mention of np matrix from code comment.
* Update networkx/algorithms/bipartite/matrix.py
Co-authored-by: Stefan van der Walt <sjvdwalt@gmail.com>
Co-authore... | 42,335 | 0 | 223 | 157 | 93 | 177,315 | 159 | networkx | 27 | networkx/algorithms/bipartite/matrix.py | Python | 46 | {
"docstring": "Creates a new bipartite graph from a biadjacency matrix given as a\n SciPy sparse array.\n\n Parameters\n ----------\n A: scipy sparse array\n A biadjacency matrix representation of a graph\n\n create_using: NetworkX graph\n Use specified graph for result. The default is Gra... | https://github.com/networkx/networkx.git | |
3 | _get_default_coordinate_values | def _get_default_coordinate_values(self) -> list[float | complex]:
x_numbers = self.get_x_axis().get_tick_range()
y_numbers = self.get_y_axis().get_tick_range()
y_numbers = [complex(0, y) for y in y_numbers if y != 0]
return [*x_numbers, *y_numbers]
| daf23c9d1031b12d9c119b8f6b7e60727d7f9242 | 10 | coordinate_systems.py | 99 | Upgraded typehints (#2429)
* Future Annotations
* Delete template_twitter_post.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Apply sugge... | 46,112 | 0 | 62 | 61 | 22 | 189,522 | 27 | manim | 11 | manim/mobject/coordinate_systems.py | Python | 12 | {
"docstring": "Generate a list containing the numerical values of the plane's labels.\n\n Returns\n -------\n List[Union[float, complex]]\n A list of floats representing the x-axis and complex numbers representing the y-axis.\n ",
"language": "en",
"n_whitespaces": 67,
"n... | https://github.com/ManimCommunity/manim.git | |
7 | update | def update(self, **kwargs):
for k, v in kwargs.items():
if k in self._AllowedKeys:
setattr(self, k, v)
else:
raise AttributeError(f"{k} is an unknown keyword")
for figmanager in _pylab_helpers.Gcf.figs.values():
for ax in figma... | c73f4c455514cf5422d27bf38c93250de8316b21 | 19 | gridspec.py | 188 | Merge SubplotBase into AxesBase. | 23,597 | 0 | 231 | 114 | 35 | 109,454 | 44 | matplotlib | 24 | lib/matplotlib/gridspec.py | Python | 13 | {
"docstring": "\n Update the subplot parameters of the grid.\n\n Parameters that are not explicitly given are not changed. Setting a\n parameter to *None* resets it to :rc:`figure.subplot.*`.\n\n Parameters\n ----------\n left, right, top, bottom : float or None, optional\n ... | https://github.com/matplotlib/matplotlib.git | |
1 | test_valid_multiple_ops | def test_valid_multiple_ops(self) -> None:
yaml_str =
self.assert_success_from_gen_backend_stubs(yaml_str)
| bb5b4cceb6f737448eaaa6817cd773b6f4b0e77d | 7 | test_gen_backend_stubs.py | 30 | Revert "Revert D32498569: allow external backend codegen to toggle whether to generate out= and inplace kernels" (#69950)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69950
This reverts commit f6cad53443704dfe5a20cc62bee14d91e3bffcaa.
Test Plan: Imported from OSS
Reviewed By: albanD
Diff... | 21,493 | 0 | 21 | 16 | 7 | 102,178 | 7 | pytorch | 4 | tools/test/test_gen_backend_stubs.py | Python | 8 | {
"docstring": "\\\nbackend: XLA\ncpp_namespace: torch_xla\nsupported:\n- add.Tensor\n- abs",
"language": "en",
"n_whitespaces": 4,
"n_words": 10,
"vocab_size": 9
} | https://github.com/pytorch/pytorch.git | |
15 | meet | def meet(self, timeout_s=180):
if timeout_s <= 0:
raise ValueError(
"The 'timeout' argument must be positive. "
"Got '{}'.".format(timeout_s)
)
timeout_delta = datetime.timedelta(seconds=timeout_s)
elapsed = datetime.timedelta(sec... | 905258dbc19753c81039f993477e7ab027960729 | 24 | gloo_collective_group.py | 631 | Clean up docstyle in python modules and add LINT rule (#25272) | 31,999 | 0 | 913 | 372 | 96 | 140,528 | 141 | ray | 46 | python/ray/util/collective/collective_group/gloo_collective_group.py | Python | 47 | {
"docstring": "Meet at the named actor store.\n\n Args:\n timeout_s: timeout in seconds.\n\n Return:\n None\n ",
"language": "en",
"n_whitespaces": 56,
"n_words": 13,
"vocab_size": 13
} | https://github.com/ray-project/ray.git | |
1 | test_vocolinc_vp3_setup | async def test_vocolinc_vp3_setup(hass):
entity_registry = er.async_get(hass)
outlet = entity_registry.async_get_or_create(
"switch",
"homekit_controller",
"homekit-EU0121203xxxxx07-48",
suggested_object_id="original_vocolinc_vp3_outlet",
)
sensor = entity_registry.... | f23b1750e85f07091eb896a0b12b8f95e5646338 | 18 | test_vocolinc_vp3.py | 332 | Migrate HomeKit Controller to use stable identifiers (#80064) | 88,035 | 0 | 582 | 196 | 57 | 288,886 | 75 | core | 33 | tests/components/homekit_controller/specific_devices/test_vocolinc_vp3.py | Python | 53 | {
"docstring": "Test that a VOCOlinc VP3 can be correctly setup in HA.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/home-assistant/core.git |
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