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 | __seqToRE | def __seqToRE(self, to_convert, directive):
to_convert = sorted(to_convert, key=len, reverse=True)
for value in to_convert:
if value != '':
break
else:
return ''
regex = '|'.join(re_escape(stuff) for stuff in to_convert)
regex = '(... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 10 | _strptime.py | 113 | add python 3.10.4 for windows | 55,908 | 0 | 124 | 67 | 29 | 219,940 | 38 | XX-Net | 13 | python3.10.4/Lib/_strptime.py | Python | 10 | {
"docstring": "Convert a list to a regex string for matching a directive.\n\n Want possible matching values to be from longest to shortest. This\n prevents the possibility of a match occurring for a value that also\n a substring of a larger value that should have matched (e.g., 'abc'\n m... | https://github.com/XX-net/XX-Net.git | |
1 | node_id | def node_id(self):
node_id = self.worker.current_node_id
assert not node_id.is_nil()
return node_id
| 8ffe435173aee0f313f786e7301d05f608b6d5be | 8 | runtime_context.py | 39 | [core/docs] Update worker docstring (#28495)
Co-authored-by: Philipp Moritz <pcmoritz@gmail.com> | 28,506 | 0 | 38 | 22 | 9 | 127,694 | 10 | ray | 5 | python/ray/runtime_context.py | Python | 4 | {
"docstring": "Get current node ID for this worker or driver.\n\n Node ID is the id of a node that your driver, task, or actor runs.\n\n Returns:\n A node id for this worker or driver.\n ",
"language": "en",
"n_whitespaces": 65,
"n_words": 33,
"vocab_size": 23
} | https://github.com/ray-project/ray.git | |
1 | test_loading_configuration_from_packages | async def test_loading_configuration_from_packages(hass):
await config_util.async_process_ha_core_config(
hass,
{
"latitude": 39,
"longitude": -1,
"elevation": 500,
"name": "Huis",
CONF_UNIT_SYSTEM: CONF_UNIT_SYSTEM_METRIC,
... | 8dc3ff72c6ff6f9591151759465ac5d8a20e2b2f | @patch("homeassistant.helpers.check_config.async_check_ha_config_file") | 17 | test_config.py | 264 | Cleanup config deprecation warning (#80251) | 88,164 | 1 | 469 | 136 | 45 | 289,015 | 70 | core | 10 | tests/test_config.py | Python | 35 | {
"docstring": "Test loading packages config onto hass object config.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/home-assistant/core.git |
1 | test_torchscript_bart_agent | def test_torchscript_bart_agent(self):
from parlai.scripts.torchscript import TorchScript
test_phrase = "Don't have a cow, man!" # From test_bart.py
with testing_utils.tempdir() as tmpdir:
scripted_model_file = os.path.join(tmpdir, 'scripted_model.pt')
# Ex... | 73a395fd457d5f56463f4f72e5b65919db3f1f96 | 12 | test_torchscript.py | 217 | Add TorchScriptable transformer classifier and subword BPE tokenizer (#4566)
* Add torchscript classes for Transformer classifier and subword BPE tokenizer
* Add unit tests
* Remove debugging code
* Resolve comments
* Rerun autoformat.sh
* Update parlai/torchscript/tokenizer.py
Co-authored-by: Eric S... | 47,209 | 0 | 268 | 126 | 51 | 195,124 | 62 | ParlAI | 28 | tests/nightly/gpu/test_torchscript.py | Python | 17 | {
"docstring": "\n Test exporting a BART model to TorchScript and then testing it on sample data.\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 14,
"vocab_size": 14
} | https://github.com/facebookresearch/ParlAI.git | |
1 | set_context | def set_context(context=None, font_scale=1, rc=None):
context_object = plotting_context(context, font_scale, rc)
mpl.rcParams.update(context_object)
| 34662f4be5c364e7518f9c1118c9b362038ee5dd | 8 | rcmod.py | 53 | Convert docs to pydata-sphinx-theme and add new material (#2842)
* Do basic conversion of site to pydata_sphinx_theme
* Remove some pae structure customizations we no longer need
* Add some custom CSS
* Tweak a few more colors
* Remove vestigial div closing tag
* Reorganize release notes into hierarchic... | 7,474 | 0 | 19 | 34 | 10 | 42,070 | 10 | seaborn | 9 | seaborn/rcmod.py | Python | 3 | {
"docstring": "\n Set the parameters that control the scaling of plot elements.\n\n This affects things like the size of the labels, lines, and other elements\n of the plot, but not the overall style. This is accomplished using the\n matplotlib rcParams system.\n\n The base context is \"notebook\", an... | https://github.com/mwaskom/seaborn.git | |
5 | _process_sections | def _process_sections(cls, tree, sections, category, is_open):
seen = set()
for section in sections:
if section[-1] == "global": # Global categories get escalated to parent
continue
sect = section[0]
section_id = f"{category}|{sect}"
... | 8ab085fae0193bb507fd5ad582668d19d56bea3d | 15 | popup_configure.py | 256 | bugfix: gui - settings popup. Always reload config | 19,985 | 0 | 266 | 147 | 53 | 100,521 | 69 | faceswap | 22 | lib/gui/popup_configure.py | Python | 16 | {
"docstring": " Process the sections of a category's configuration.\n\n Creates a category's sections, then the sub options for that category\n\n Parameters\n ----------\n tree: :class:`tkinter.ttk.TreeView`\n The tree view to insert sections into\n sections: list\n ... | https://github.com/deepfakes/faceswap.git | |
1 | corners_to_center_format | def corners_to_center_format(x):
x_transposed = x.T
x0, y0, x1, y1 = x_transposed[0], x_transposed[1], x_transposed[2], x_transposed[3]
b = [(x0 + x1) / 2, (y0 + y1) / 2, (x1 - x0), (y1 - y0)]
return np.stack(b, axis=-1)
# Copied from transformers.models.detr.feature_extraction_detr.masks_to_boxe... | 1ac698744c4dbdf1495d303246d08ffacdf4f5b8 | 10 | feature_extraction_yolos.py | 119 | Add YOLOS (#16848)
* First draft
* Add YolosForObjectDetection
* Make forward pass work
* Add mid position embeddings
* Add interpolation of position encodings
* Add expected values
* Add YOLOS to tests
* Add integration test
* Support tiny model as well
* Support all models in conversion sc... | 6,837 | 0 | 53 | 81 | 33 | 37,626 | 39 | transformers | 12 | src/transformers/models/yolos/feature_extraction_yolos.py | Python | 5 | {
"docstring": "\n Converts a NumPy array of bounding boxes of shape (number of bounding boxes, 4) of corners format (x_0, y_0, x_1,\n y_1) to center format (center_x, center_y, width, height).\n ",
"language": "en",
"n_whitespaces": 38,
"n_words": 28,
"vocab_size": 23
} | https://github.com/huggingface/transformers.git | |
8 | get_attributes_and_values | def get_attributes_and_values(item_code):
item_cache = ItemVariantsCacheManager(item_code)
item_variants_data = item_cache.get_item_variants_data()
attributes = get_item_attributes(item_code)
attribute_list = [a.attribute for a in attributes]
valid_options = {}
for item_code, attribute, attribute_value in ite... | 494bd9ef78313436f0424b918f200dab8fc7c20b | @frappe.whitelist(allow_guest=True) | 15 | utils.py | 290 | style: format code with black | 14,028 | 1 | 67 | 170 | 62 | 65,836 | 89 | erpnext | 33 | erpnext/e_commerce/variant_selector/utils.py | Python | 20 | {
"docstring": "Build a list of attributes and their possible values.\n\tThis will ignore the values upon selection of which there cannot exist one item.\n\t",
"language": "en",
"n_whitespaces": 21,
"n_words": 23,
"vocab_size": 22
} | https://github.com/frappe/erpnext.git |
3 | test_run | def test_run(self) -> Tuple[Dict, Dict]:
print(" | > Synthesizing test sentences.")
test_audios = {}
test_figures = {}
test_sentences = self.config.test_sentences
for idx, s_info in enumerate(test_sentences):
try:
aux_inputs = self.get_aux_inp... | ea965a5683c56a39570b4cc91e86cd2bb9799308 | 22 | vits.py | 304 | Update VITS for the new API | 77,125 | 0 | 482 | 190 | 63 | 262,100 | 73 | TTS | 36 | TTS/tts/models/vits.py | Python | 35 | {
"docstring": "Generic test run for `tts` models used by `Trainer`.\n\n You can override this for a different behaviour.\n\n Returns:\n Tuple[Dict, Dict]: Test figures and audios to be projected to Tensorboard.\n ",
"language": "en",
"n_whitespaces": 61,
"n_words": 29,
"vocab_... | https://github.com/coqui-ai/TTS.git | |
8 | read_image_batch | def read_image_batch(filenames, with_metadata=False):
logger.trace("Requested batch: '%s'", filenames)
batch = [None for _ in range(len(filenames))]
if with_metadata:
meta = [None for _ in range(len(filenames))]
with futures.ThreadPoolExecutor() as executor:
images = {executor.subm... | 2beceffad9b15c1fd78f06b9b272563321c5a41e | 15 | image.py | 269 | Data Augmentation update (#1263)
- lib.detected_face
- Subclass Masks for Landmark based masks
- Add training mask propery + methods to DetectedFace
- lib.training_training
- subclass TrainingDataGenerator for training and preview data
- Split cache into own module
- Reduce thread count to ... | 20,699 | 0 | 258 | 172 | 55 | 101,280 | 81 | faceswap | 28 | lib/image.py | Python | 20 | {
"docstring": " Load a batch of images from the given file locations.\n\n Leverages multi-threading to load multiple images from disk at the same time leading to vastly\n reduced image read times.\n\n Parameters\n ----------\n filenames: list\n A list of ``str`` full paths to the images to be l... | https://github.com/deepfakes/faceswap.git | |
3 | get_instance | def get_instance(self, value):
if value is None:
return None
elif isinstance(value, self.model):
return value
else: # assume instance ID
return self.model.objects.get(pk=value)
| 39f7886a6f8ee98db7e73ce33d94c06139f35bd8 | 12 | chooser.py | 69 | Split out common logic from get_value_data | 16,671 | 0 | 83 | 42 | 18 | 77,545 | 21 | wagtail | 8 | wagtail/admin/widgets/chooser.py | Python | 7 | {
"docstring": "\n Given a value passed to this widget for rendering (which may be None, an id, or a model\n instance), return a model instance or None\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 25,
"vocab_size": 21
} | https://github.com/wagtail/wagtail.git | |
1 | test_change_view_save_as_new | def test_change_view_save_as_new(self):
change_dict_save_as_new = {
"_saveasnew": "Save as new",
"title": "Ikke fordømt",
"content": "<p>edited article</p>",
"date_0": "2008-03-18",
"date_1": "10:54:39",
"section": self.s1.pk,
... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 12 | tests.py | 419 | Refs #33476 -- Reformatted code with Black. | 52,024 | 0 | 392 | 251 | 79 | 207,623 | 115 | django | 26 | tests/admin_views/tests.py | Python | 31 | {
"docstring": "\n 'Save as new' should raise PermissionDenied for users without the 'add'\n permission.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 12,
"vocab_size": 12
} | https://github.com/django/django.git | |
3 | estimated_run_time | def estimated_run_time(self):
if self.state and self.state_type == schemas.states.StateType.RUNNING:
return self.total_run_time + (pendulum.now() - self.state.timestamp)
else:
return self.total_run_time
| 29f4c75e3a605e29987e856204a2441b31f4a6df | 12 | orm_models.py | 77 | Repair imports as needed | 10,820 | 0 | 60 | 47 | 15 | 53,477 | 17 | prefect | 12 | src/prefect/orion/database/orm_models.py | Python | 5 | {
"docstring": "Total run time is incremented in the database whenever a RUNNING\n state is exited. To give up-to-date estimates, we estimate incremental\n run time for any runs currently in a RUNNING state.",
"language": "en",
"n_whitespaces": 44,
"n_words": 31,
"vocab_size": 25
} | https://github.com/PrefectHQ/prefect.git | |
6 | from_rgs | def from_rgs(self, rgs, elements):
if len(rgs) != len(elements):
raise ValueError('mismatch in rgs and element lengths')
max_elem = max(rgs) + 1
partition = [[] for i in range(max_elem)]
j = 0
for i in rgs:
partition[i].append(elements[j])
... | 498015021131af4dbb07eb110e5badaba8250c7b | 10 | partitions.py | 150 | Updated import locations | 47,604 | 0 | 155 | 92 | 42 | 196,104 | 55 | sympy | 16 | sympy/combinatorics/partitions.py | Python | 12 | {
"docstring": "\n Creates a set partition from a restricted growth string.\n\n Explanation\n ===========\n\n The indices given in rgs are assumed to be the index\n of the element as given in elements *as provided* (the\n elements are not sorted by this routine). Block number... | https://github.com/sympy/sympy.git | |
2 | get_chunk | def get_chunk(self, size=None) -> pd.DataFrame:
if size is None:
size = self._chunksize
return self.read(nrows=size)
| e48c9c3973286e257f6da1966c91806d86b917e0 | 9 | sas_xport.py | 54 | TYP: more return annotations for io/* (#47524)
* TYP: more return annotations for io/*
* import future | 40,022 | 0 | 46 | 33 | 13 | 167,451 | 14 | pandas | 8 | pandas/io/sas/sas_xport.py | Python | 16 | {
"docstring": "\n Reads lines from Xport file and returns as dataframe\n\n Parameters\n ----------\n size : int, defaults to None\n Number of lines to read. If None, reads whole file.\n\n Returns\n -------\n DataFrame\n ",
"language": "en",
"n_w... | https://github.com/pandas-dev/pandas.git | |
1 | iterate_graycode | def iterate_graycode(self, k):
unranked_code = GrayCode.unrank(self.superset_size,
(self.rank_gray + k) % self.cardinality)
return Subset.subset_from_bitlist(self.superset,
unranked_code)
| 498015021131af4dbb07eb110e5badaba8250c7b | 12 | subsets.py | 64 | Updated import locations | 47,707 | 0 | 114 | 41 | 14 | 196,207 | 14 | sympy | 12 | sympy/combinatorics/subsets.py | Python | 5 | {
"docstring": "\n Helper function used for prev_gray and next_gray.\n It performs ``k`` step overs to get the respective Gray codes.\n\n Examples\n ========\n\n >>> from sympy.combinatorics import Subset\n >>> a = Subset([1, 2, 3], [1, 2, 3, 4])\n >>> a.iterate_grayco... | https://github.com/sympy/sympy.git | |
6 | __getattr__ | def __getattr__(self, name):
if self._wrapped is empty:
self._setup(name)
val = getattr(self._wrapped, name)
# Special case some settings which require further modification.
# This is done here for performance reasons so the modified value is cached.
if name... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 11 | __init__.py | 130 | Refs #33476 -- Reformatted code with Black. | 50,295 | 0 | 164 | 76 | 53 | 203,310 | 68 | django | 11 | django/conf/__init__.py | Python | 10 | {
"docstring": "Return the value of a setting and cache it in self.__dict__.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/django/django.git | |
1 | test_escape_sequence_resulting_in_multiple_keypresses | def test_escape_sequence_resulting_in_multiple_keypresses(parser):
events = list(parser.feed("\x1b[2;4~"))
assert len(events) == 2
assert events[0].key == "escape"
assert events[1].key == "shift+insert"
| bfb962bacf274373e5706090cd854b6aa0857270 | 11 | test_xterm_parser.py | 75 | Backtracking unknown escape sequences, various tests for XTermParser | 44,334 | 0 | 32 | 42 | 13 | 183,781 | 17 | textual | 7 | tests/test_xterm_parser.py | Python | 5 | {
"docstring": "Some sequences are interpreted as more than 1 keypress",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/Textualize/textual.git | |
3 | all_data | def all_data(request, data, data_missing):
if request.param == "data":
return data
elif request.param == "data_missing":
return data_missing
@pytest.fixture | d40c37192b3d38a3c9a0d248dc612ac9dd56e506 | @pytest.fixture | 8 | test_arrow.py | 56 | ENH/TST: Add BaseInterfaceTests tests for ArrowExtensionArray (#47377) | 39,962 | 1 | 39 | 28 | 14 | 167,274 | 17 | pandas | 7 | pandas/tests/extension/test_arrow.py | Python | 5 | {
"docstring": "Parametrized fixture returning 'data' or 'data_missing' integer arrays.\n\n Used to test dtype conversion with and without missing values.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 18,
"vocab_size": 18
} | https://github.com/pandas-dev/pandas.git |
4 | encode_maxrespcode | def encode_maxrespcode(self):
value = self.mrcode
if value < 128:
code = value
elif value > 31743:
code = 255
else:
exp = 0
value >>= 3
while value > 31:
exp += 1
value >>= 1
... | 08b1f9d67c8e716fd44036a027bdc90dcb9fcfdf | 12 | igmpv3.py | 109 | E275 - Missing whitespace after keyword (#3711)
Co-authored-by: Alexander Aring <alex.aring@gmail.com>
Co-authored-by: Anmol Sarma <me@anmolsarma.in>
Co-authored-by: antoine.torre <torreantoine1@gmail.com>
Co-authored-by: Antoine Vacher <devel@tigre-bleu.net>
Co-authored-by: Arnaud Ebalard <arno@natisbad.org>
Co-... | 52,724 | 0 | 200 | 65 | 29 | 209,532 | 51 | scapy | 6 | scapy/contrib/igmpv3.py | Python | 15 | {
"docstring": "Encode and replace the mrcode value to its IGMPv3 encoded time value if needed, # noqa: E501\n as specified in rfc3376#section-4.1.1.\n\n If value < 128, return the value specified. If >= 128, encode as a floating # noqa: E501\n point value. Value can be 0 - 31744.\n ",
... | https://github.com/secdev/scapy.git | |
2 | show_tables | def show_tables():
# [START howto_elasticsearch_query]
es = ElasticsearchHook(elasticsearch_conn_id=CONN_ID)
# Handle ES conn with context manager
with es.get_conn() as es_conn:
tables = es_conn.execute('SHOW TABLES')
for table, *_ in tables:
print(f"table: {table}")
... | a801ea3927b8bf3ca154fea3774ebf2d90e74e50 | 13 | example_elasticsearch_query.py | 187 | es new system tests (#22811) | 9,105 | 0 | 158 | 45 | 63 | 47,416 | 78 | airflow | 27 | tests/system/providers/elasticsearch/example_elasticsearch_query.py | Python | 7 | {
"docstring": "\n show_tables queries elasticsearch to list available tables\n ",
"language": "en",
"n_whitespaces": 14,
"n_words": 7,
"vocab_size": 7
} | https://github.com/apache/airflow.git | |
1 | test_category_match_in_app | def test_category_match_in_app(self):
from sentry.grouping.enhancer import Enhancements
enhancement = Enhancements.from_config_string(
,
)
event = make_event(
platform="native",
exception={
"values": [
{
... | 39cfdcb446e74732c67ce07d7dd8d8d5ace471b1 | 20 | test_event_manager.py | 492 | test(event_manager): Fix incorrect invocations of manager.save (#36615) | 19,067 | 0 | 1,085 | 277 | 51 | 94,332 | 109 | sentry | 24 | tests/sentry/event_manager/test_event_manager.py | Python | 64 | {
"docstring": "\n Regression test to ensure that grouping in-app enhancements work in\n principle.\n \n function:foo category=bar\n function:foo2 category=bar\n category:bar -app\n ",
"language": "en",
"n_whitespaces": 84,
"n_words": 17,
"vocab... | https://github.com/getsentry/sentry.git | |
1 | test_curr_only_accuracy | def test_curr_only_accuracy(self):
_, test = testing_utils.eval_model(
opt={
'batchsize': 4,
'fp16': True,
'num_examples': 16,
'model_file': 'zoo:style_gen/curr_only_classifier/model',
'model': 'projects.style_g... | 82df52b4431f3573ca2c93dd4bb3098992968acc | 12 | test_style_gen.py | 129 | [Style-Controlled Generation] Open-source a second style classifier (#4380)
* Add model to model list
* Curr only classifier download page
* Add test case
* Update version
* Update with some results
* Wording | 47,085 | 0 | 210 | 75 | 29 | 194,793 | 29 | ParlAI | 10 | tests/nightly/gpu/test_style_gen.py | Python | 15 | {
"docstring": "\n Test the accuracy of the classifier trained on current utterances only.\n\n The accuracy is low here because the task was labeled using a different\n classifier, zoo:style_gen/prev_curr_classifier/model.\n ",
"language": "en",
"n_whitespaces": 55,
"n_words": 26,
... | https://github.com/facebookresearch/ParlAI.git | |
3 | highlighted_child | def highlighted_child(self) -> ListItem | None:
if self.index is None:
return None
elif 0 <= self.index < len(self.children):
return self.children[self.index]
| c57f6b90259c8193e3aa9c3453a02b4043873381 | 10 | _list_view.py | 67 | Fix click handler | 45,287 | 0 | 63 | 42 | 17 | 186,003 | 20 | textual | 6 | src/textual/widgets/_list_view.py | Python | 10 | {
"docstring": "Get the currently highlighted ListItem\n\n Returns:\n ListItem | None: The currently highlighted ListItem, or None if nothing is highlighted.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 19,
"vocab_size": 16
} | https://github.com/Textualize/textual.git | |
8 | _expand_hint | def _expand_hint(expr, hint, deep=True, **hints):
hit = False
# XXX: Hack to support non-Basic args
# |
# V
if deep and getattr(expr, 'args', ()) and not expr.is_Atom:
sargs = []
for arg in expr.args:
arg,... | 32e337616722ceae757c23ad1fe2f3465c629a47 | 13 | expr.py | 203 | Fix MatAdd.expand( ) not expanding completely | 48,749 | 0 | 297 | 128 | 52 | 197,943 | 70 | sympy | 18 | sympy/core/expr.py | Python | 16 | {
"docstring": "\n Helper for ``expand()``. Recursively calls ``expr._eval_expand_hint()``.\n\n Returns ``(expr, hit)``, where expr is the (possibly) expanded\n ``expr`` and ``hit`` is ``True`` if ``expr`` was truly expanded and\n ``False`` otherwise.\n ",
"language": "en",
"n_... | https://github.com/sympy/sympy.git | |
3 | get_extra_loggers | def get_extra_loggers(self) -> List[str]:
return (
[name.strip() for name in self.extra_loggers.split(",")]
if self.extra_loggers
else []
)
| a452d8b8917000774302411a7aeb949f7e326814 | 12 | settings.py | 64 | Strip logger name to prevent accidental spaces | 10,735 | 0 | 70 | 39 | 16 | 53,193 | 16 | prefect | 8 | src/prefect/utilities/settings.py | Python | 9 | {
"docstring": "\n Parse the `extra_loggers` CSV and trim whitespace from logger names\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
} | https://github.com/PrefectHQ/prefect.git | |
3 | forward | def forward(self, input_ids=None, attention_mask=None, **kwargs):
if input_ids is None:
raise ValueError("Input_ids cannot be None.")
inputs_embeds = self.d_model**0.5 * self.embed_tokens(input_ids)
inputs_embed_pos = self.encoder_embed_positions(input_ids.shape)
hid... | b0c35d5e1ff02a634fa26392b60d3885c2c78677 | 16 | modeling.py | 203 | Fix the attention mask for fp16 (#1585) | 118,056 | 0 | 189 | 130 | 39 | 322,099 | 56 | PaddleNLP | 26 | paddlenlp/transformers/mbart/modeling.py | Python | 15 | {
"docstring": "\n The MBartEncoder forward method, overrides the `__call__()` special method.\n\n Args:\n input_ids (Tensor, optional):\n See :class:`MBartModel`.\n attention_mask (Tensor, optional):\n See :class:`MBartModel`.\n\n Returns:\n ... | https://github.com/PaddlePaddle/PaddleNLP.git | |
1 | sparsemax_bisect | def sparsemax_bisect(X, dim=-1, n_iter=50, ensure_sum_one=True):
return SparsemaxBisectFunction.apply(X, dim, n_iter, ensure_sum_one)
| 20a8a6fdb516e543d4598c852063ba0fb407f3ba | 7 | root_finding.py | 47 | 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
... | 957 | 0 | 16 | 32 | 10 | 6,299 | 10 | ludwig | 7 | ludwig/utils/entmax/root_finding.py | Python | 2 | {
"docstring": "sparsemax: normalizing sparse transform (a la softmax), via bisection.\n\n Solves the projection:\n\n min_p ||x - p||_2 s.t. p >= 0, sum(p) == 1.\n\n Parameters\n ----------\n X : torch.Tensor\n The input tensor.\n\n dim : int\n The dimension along which to app... | https://github.com/ludwig-ai/ludwig.git | |
1 | test_missing_fields_old | def test_missing_fields_old(self) -> None:
expected_topic = "Unknown Policy (Unknown ID)"
expected_message = .strip()
self.check_webhook(
"incident_default_fields_old",
expected_topic,
expected_message,
content_type="application/json",
)
| bfd9fc86223c2446e8b38d2cdd5876caed50bfda | 9 | tests.py | 57 | integration: Fix integration with newrelic.
Newrelic updated the payload that's sent via the webhook incoming call
causing a bug in the newrelic webhook endpoint.
This fixes the bug by updating the endpoint to respect the new format
of the payload as well as the old format. This should be updated once
the old format i... | 17,836 | 0 | 90 | 32 | 18 | 84,423 | 19 | zulip | 7 | zerver/webhooks/newrelic/tests.py | Python | 14 | {
"docstring": "\n[Incident](https://alerts.newrelic.com) **opened** for condition: **Unknown condition** at <time:2020-11-11 22:32:11.151000+00:00>\n``` quote\nNo details.\n```\n",
"language": "en",
"n_whitespaces": 10,
"n_words": 14,
"vocab_size": 13
} | https://github.com/zulip/zulip.git | |
1 | test_process_form_extras | def test_process_form_extras():
# Testing parameters set in both `Extra` and custom fields.
mock_form = mock.Mock()
mock_form.data = {
"conn_type": "test",
"conn_id": "extras_test",
"extra": '{"param1": "param1_val"}',
"extra__test__custom_field": "custom_field_val",
... | 44df1420582b358594c8d7344865811cff02956c | 10 | test_views_connection.py | 510 | fix: Update custom connection field processing (#20883)
* fix: Update custom connection field processing
Fixes issue where custom connectionfields are not updated because `extra` field is in form and has previous values, overriding custom field values.
Adds portion of connection form tests to test functionality. | 8,180 | 0 | 375 | 275 | 67 | 44,155 | 161 | airflow | 14 | tests/www/views/test_views_connection.py | Python | 45 | {
"docstring": "\n Test the handling of connection parameters set with the classic `Extra` field as well as custom fields.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 17,
"vocab_size": 15
} | https://github.com/apache/airflow.git | |
15 | data | def data(self, data=None, offset=None, size=None, shape=None, as_memoryview=False):
offset = offset or (0, 0)
size = size or (self.width - offset[0], self.height - offset[1])
shape = shape or size
if any(x <= 0 for x in size):
raise ValueError("Offset too big for thi... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 17 | band.py | 460 | Refs #33476 -- Reformatted code with Black. | 50,604 | 0 | 740 | 299 | 118 | 203,999 | 181 | django | 33 | django/contrib/gis/gdal/raster/band.py | Python | 45 | {
"docstring": "\n Read or writes pixel values for this band. Blocks of data can\n be accessed by specifying the width, height and offset of the\n desired block. The same specification can be used to update\n parts of a raster by providing an array of values.\n\n Allowed input data ... | https://github.com/django/django.git | |
1 | get_all_holiday_exchange_short_names | def get_all_holiday_exchange_short_names() -> pd.DataFrame:
exchange_short_names = mcal.calendar_registry.get_calendar_names()
df = pd.DataFrame(exchange_short_names, columns=["short_name"])
return df
@log_start_end(log=logger) | 7e4a657333c8b7bb1ebdcb7a4c8f06e8dc0d66f6 | @log_start_end(log=logger) | 11 | pandas_market_cal_model.py | 71 | Addition of exchange holiday functionality under stocks/th (#3486)
* Addition of exchange holiday calendars using PandasMarketCalendar
* website update for holidays functionality
* Disable pylint too many attributes
* Changes to not show index for dataframe and include metavar
* Setting of default value fo... | 86,066 | 1 | 25 | 34 | 12 | 286,857 | 14 | OpenBBTerminal | 12 | openbb_terminal/stocks/tradinghours/pandas_market_cal_model.py | Python | 11 | {
"docstring": "Get all holiday exchanges short names.\n\n Returns\n -------\n pd.DataFrame\n All available exchanges with holiday data (short names)\n ",
"language": "en",
"n_whitespaces": 36,
"n_words": 17,
"vocab_size": 15
} | https://github.com/OpenBB-finance/OpenBBTerminal.git |
1 | _tupleize_axis_indexer | def _tupleize_axis_indexer(self, key) -> tuple:
new_key = [slice(None)] * self.ndim
# error: Invalid index type "Optional[Any]" for "List[slice]"; expected
# type "SupportsIndex"
new_key[self.axis] = key # type:ignore[index]
return tuple(new_key)
| ab42f85f192ab054a18f94825ced1bb4c1ab7d3f | 10 | indexing.py | 60 | REF: implement LocationIndexer._tupleize_axis_indexer (#45378) | 39,447 | 0 | 72 | 35 | 25 | 163,504 | 29 | pandas | 8 | pandas/core/indexing.py | Python | 7 | {
"docstring": "\n If we have an axis, adapt the given key to be axis-independent.\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 12,
"vocab_size": 12
} | https://github.com/pandas-dev/pandas.git | |
5 | _broadcasting_select_mhlo | def _broadcasting_select_mhlo(which, x, y):
which_type, x_type, y_type = (
ir.RankedTensorType(v.type) for v in (which, x, y))
out_shape = list(lax_internal.broadcast_shapes(
tuple(which_type.shape), tuple(x_type.shape), tuple(y_type.shape)))
bcast_dims = lambda shape: mlir.dense_int_elements(
... | bc658e74567ffa941b31f4e89463dc713d2ecbf4 | 14 | linalg.py | 316 | [MHLO] Add direct MHLO lowerings for most linear algebra kernels.
PiperOrigin-RevId: 439927594 | 26,747 | 0 | 140 | 211 | 50 | 120,043 | 68 | jax | 28 | jax/_src/lax/linalg.py | Python | 20 | {
"docstring": "Wrapper around XLA `Select` that broadcasts its arguments.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/google/jax.git | |
2 | list_to_tuple | def list_to_tuple(maybe_list):
if isinstance(maybe_list, list):
return tuple(maybe_list)
return maybe_list
| 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 9 | training_utils.py | 36 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 80,856 | 0 | 25 | 21 | 8 | 271,833 | 9 | keras | 5 | keras/engine/training_utils.py | Python | 4 | {
"docstring": "Datasets will stack the list of tensor, so switch them to tuples.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | https://github.com/keras-team/keras.git | |
2 | collect_extra_binaries | def collect_extra_binaries(self):
binaries = []
# Applicable only to Windows.
if not compat.is_win:
return []
# OpenGL: EGL/GLES via ANGLE, software OpenGL renderer.
binaries += self._collect_all_or_none(['libEGL.dll', 'libGLESv2.dll'], ['d3dcompiler_??.dl... | d789a7daa7712716c89259b987349917a89aece7 | 10 | __init__.py | 117 | hookutils: reorganize the Qt hook utilities
Reorganize the Qt module information to provide information necessary
to deal with variations between different python Qt bindings (PySide2,
PyQt5, PySide6, and PyQt6). Replace the existing table-like dictionary
with list of entries, which is easier to format and document. F... | 77,569 | 0 | 171 | 61 | 55 | 264,030 | 77 | pyinstaller | 6 | PyInstaller/utils/hooks/qt/__init__.py | Python | 8 | {
"docstring": "\n Collect extra binaries/DLLs required by Qt. These include ANGLE DLLs, OpenGL software renderer DLL, and ICU\n DLLs. Applicable only on Windows (on other OSes, empty list is returned).\n ",
"language": "en",
"n_whitespaces": 50,
"n_words": 28,
"vocab_size": 28
} | https://github.com/pyinstaller/pyinstaller.git | |
4 | __make_attention_mask | def __make_attention_mask(self) -> None:
# Make masks for shift case
if self.shift_size > 0:
height, width = self.input_resolution # type: int, int
mask: torch.Tensor = torch.zeros(height, width, device=self.window_attention.tau.device)
height_slices: Tuple ... | 90dc74c450a0ec671af0e7f73d6b4a7b5396a7af | 14 | swin_transformer_v2.py | 420 | Add code from https://github.com/ChristophReich1996/Swin-Transformer-V2 and change docstring style to match timm | 119,894 | 0 | 474 | 279 | 69 | 331,749 | 108 | pytorch-image-models | 31 | timm/models/swin_transformer_v2.py | Python | 24 | {
"docstring": " Method generates the attention mask used in shift case. ",
"language": "en",
"n_whitespaces": 10,
"n_words": 9,
"vocab_size": 9
} | https://github.com/huggingface/pytorch-image-models.git | |
1 | test_valid_zero_ops_doesnt_require_backend_dispatch_key | def test_valid_zero_ops_doesnt_require_backend_dispatch_key(self) -> None:
yaml_str =
# External codegen on a yaml file with no operators is effectively a no-op,
# so there's no reason to parse the backend
self.assert_success_from_gen_backend_stubs(yaml_str)
| bb5b4cceb6f737448eaaa6817cd773b6f4b0e77d | 7 | test_gen_backend_stubs.py | 32 | 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... | 21,486 | 0 | 58 | 16 | 27 | 102,171 | 30 | pytorch | 4 | tools/test/test_gen_backend_stubs.py | Python | 6 | {
"docstring": "\\\nbackend: BAD_XLA\ncpp_namespace: torch_xla\nsupported:",
"language": "en",
"n_whitespaces": 2,
"n_words": 6,
"vocab_size": 6
} | https://github.com/pytorch/pytorch.git | |
1 | test_worker_disable_ll_hls | async def test_worker_disable_ll_hls(hass):
stream_settings = StreamSettings(
ll_hls=True,
min_segment_duration=TARGET_SEGMENT_DURATION_NON_LL_HLS
- SEGMENT_DURATION_ADJUSTER,
part_target_duration=TARGET_SEGMENT_DURATION_NON_LL_HLS,
hls_advance_part_limit=3,
hls_... | 852b0caf5be4bba0dcaaf5f6a38221d1590c4ed9 | 10 | test_worker.py | 117 | Add orientation transforms to stream (#77439) | 104,561 | 0 | 133 | 76 | 29 | 305,777 | 32 | core | 20 | tests/components/stream/test_worker.py | Python | 19 | {
"docstring": "Test that the worker disables ll-hls for hls inputs.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
1 | update_company_monthly_sales | def update_company_monthly_sales(company):
import json
from frappe.utils.goal import get_monthly_results
filter_str = "company = {0} and status != 'Draft' and docstatus=1".format(
frappe.db.escape(company)
)
month_to_value_dict = get_monthly_results(
"Sales Invoice", "base_grand_total", "posting_date", fil... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 11 | company.py | 111 | style: format code with black | 14,538 | 0 | 25 | 64 | 30 | 67,473 | 35 | erpnext | 14 | erpnext/setup/doctype/company/company.py | Python | 10 | {
"docstring": "Cache past year monthly sales of every company based on sales invoices",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | https://github.com/frappe/erpnext.git | |
4 | newer_pairwise | def newer_pairwise (sources, targets):
if len(sources) != len(targets):
raise ValueError("'sources' and 'targets' must be same length")
# build a pair of lists (sources, targets) where source is newer
n_sources = []
n_targets = []
for i in range(len(sources)):
if newer(sources... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 12 | dep_util.py | 132 | add python 3.10.4 for windows | 56,774 | 0 | 106 | 81 | 43 | 222,842 | 49 | XX-Net | 11 | python3.10.4/Lib/distutils/dep_util.py | Python | 10 | {
"docstring": "Walk two filename lists in parallel, testing if each source is newer\n than its corresponding target. Return a pair of lists (sources,\n targets) where source is newer than target, according to the semantics\n of 'newer()'.\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 35,
... | https://github.com/XX-net/XX-Net.git | |
1 | mean | def mean(self, axis=None, dtype=None, keepdims=False, split_every=None, out=None):
from dask.array.reductions import mean
return mean(
self,
axis=axis,
dtype=dtype,
keepdims=keepdims,
split_every=split_every,
out=out,
... | 2820bae493a49cb1d0a6e376985c5473b8f04fa8 | 8 | core.py | 83 | Don't include docs in ``Array`` methods, just refer to module docs (#9244)
Co-authored-by: James Bourbeau <jrbourbeau@users.noreply.github.com> | 36,740 | 0 | 114 | 60 | 20 | 156,730 | 20 | dask | 10 | dask/array/core.py | Python | 10 | {
"docstring": "Returns the average of the array elements along given axis.\n\n Refer to :func:`dask.array.mean` for full documentation.\n\n See Also\n --------\n dask.array.mean : equivalent function\n ",
"language": "en",
"n_whitespaces": 58,
"n_words": 23,
"vocab_size": 2... | https://github.com/dask/dask.git | |
1 | test_filter_on_load | async def test_filter_on_load(hass, hass_storage):
hass_storage[er.STORAGE_KEY] = {
"version": er.STORAGE_VERSION_MAJOR,
"minor_version": 1,
"data": {
"entities": [
{
"entity_id": "test.named",
"platform": "super_platfo... | 4e32bf2ac910e38695a1b9bf9b610c717db97998 | 14 | test_entity_registry.py | 535 | Drop old migration code from entity registry (#78278) | 106,309 | 0 | 919 | 305 | 92 | 307,538 | 178 | core | 26 | tests/helpers/test_entity_registry.py | Python | 77 | {
"docstring": "Test we transform some data when loading from storage.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
1 | read | def read(self) -> TOMLDocument:
with open(self._path, encoding="utf-8", newline="") as f:
return loads(f.read())
| 8faa74cdc9da20cfdcc69f5ec29b91112c95b4c9 | 12 | toml_file.py | 64 | Update tomlkit==0.9.2
Used:
python -m invoke vendoring.update --package=tomlkit | 4,068 | 0 | 37 | 35 | 12 | 21,835 | 12 | pipenv | 9 | pipenv/vendor/tomlkit/toml_file.py | Python | 4 | {
"docstring": "Read the file content as a :class:`tomlkit.toml_document.TOMLDocument`.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | https://github.com/pypa/pipenv.git | |
2 | load_pascal_annotation | def load_pascal_annotation(index, pascal_root):
classes = ('__background__', # always index 0
'aeroplane', 'bicycle', 'bird', 'boat',
'bottle', 'bus', 'car', 'cat', 'chair',
'cow', 'diningtable', 'dog', 'horse',
'motorbike', 'pers... | cc4d0564756ca067516f71718a3d135996525909 | 12 | pascal_multilabel_datalayers.py | 153 | Balanced joint maximum mean discrepancy for deep transfer learning | 12,009 | 0 | 161 | 317 | 41 | 60,201 | 45 | transferlearning | 11 | code/deep/BJMMD/caffe/examples/pycaffe/layers/pascal_multilabel_datalayers.py | Python | 33 | {
"docstring": "\n This code is borrowed from Ross Girshick's FAST-RCNN code\n (https://github.com/rbgirshick/fast-rcnn).\n It parses the PASCAL .xml metadata files.\n See publication for further details: (http://arxiv.org/abs/1504.08083).\n\n Thanks Ross!\n\n ",
"language": "en",
"n_whitespaces... | https://github.com/jindongwang/transferlearning.git | |
2 | test_target_exists_force | def test_target_exists_force(file, source):
new_name = source.parent / "new_name.txt"
new_name.write_text("existing file")
try:
file.rename(name=str(new_name), source=str(source), force=True)
assert new_name.exists()
assert not source.exists()
assert new_name.read_text()... | a35b29b2651bf33c5d5b45e64bc7765ffde4aff4 | 12 | test_rename.py | 127 | Add some funtional tests
Add functional tests for the following:
- file.readlink
- file.replace
- file.symlink
Remove unit tests for file.replace as they are duplicated in the added
functional test | 54,193 | 0 | 76 | 73 | 24 | 215,826 | 26 | salt | 13 | tests/pytests/functional/states/file/test_rename.py | Python | 10 | {
"docstring": "\n Test file.rename when there is an existing file with the new name and\n force=True\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 14,
"vocab_size": 14
} | https://github.com/saltstack/salt.git | |
3 | cast_column | def cast_column(column, backend):
values = backend.df_engine.compute(column.drop_duplicates())
if strings_utils.values_are_pandas_numbers(values):
# If numbers, convert to float so it can be converted to bool
column = column.astype(float).astype(bool)
elif strin... | 48731ae5ca98d4a1e92374af30f060408f14d91a | 17 | binary_feature.py | 152 | Fix postprocessing on binary feature columns with number dtype (#2189)
* Fixes binary postprocessing for number dtype
* ensure calibration work retained
* cleanup
* removed script postprocessing caveat
* added ray/dask test
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, ... | 1,116 | 0 | 193 | 91 | 46 | 7,086 | 59 | ludwig | 18 | ludwig/features/binary_feature.py | Python | 11 | {
"docstring": "Cast column of dtype object to bool.\n\n Unchecked casting to boolean when given a column of dtype object converts all non-empty cells to True. We check\n the values of the column directly and manually determine the best dtype to use.\n ",
"language": "en",
"n_whitespaces": 61... | https://github.com/ludwig-ai/ludwig.git | |
2 | enter | def enter(self, *path):
return Meta(self._meta, path=self._path + [str(p) for p in path])
| 522d6f27c28dc5fd4d996ed605865c42fbda0da8 | 12 | meta.py | 52 | ref: replace legacy compat.map with list comprehensions (#36372) | 18,968 | 0 | 26 | 33 | 12 | 93,031 | 12 | sentry | 8 | src/sentry/utils/meta.py | Python | 2 | {
"docstring": "\n Enters into sub meta data at the specified path. This always returns a\n new ``Meta`` object, regardless whether the path already exists.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 22,
"vocab_size": 21
} | https://github.com/getsentry/sentry.git | |
1 | _get_support_mask | def _get_support_mask(self):
n_features = len(self.feature_names)
mask = np.zeros(n_features, dtype=bool)
mask[np.asarray(self.feat_list_idx)] = True
return mask
| 388616b6247ca4ea8de4e2f340d6206aee523541 | 10 | feature_set_selector.py | 67 | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | 43,623 | 0 | 49 | 41 | 11 | 181,854 | 14 | tpot | 12 | tpot/builtins/feature_set_selector.py | Python | 5 | {
"docstring": "\n Get the boolean mask indicating which features are selected\n Returns\n -------\n support : boolean array of shape [# input features]\n An element is True iff its corresponding feature is selected for\n retention.\n ",
"language": "en",
"... | https://github.com/EpistasisLab/tpot.git | |
1 | test_do_not_render_html | def test_do_not_render_html(self):
value = {
"first_row_is_table_header": False,
"first_col_is_header": False,
"data": [
["<p><strong>Test</strong></p>", None, None],
[None, None, None],
[None, None, None],
... | d10f15e55806c6944827d801cd9c2d53f5da4186 | 11 | tests.py | 113 | Reformat with black | 16,056 | 0 | 171 | 71 | 23 | 73,589 | 32 | wagtail | 9 | wagtail/contrib/table_block/tests.py | Python | 22 | {
"docstring": "\n Ensure that raw html doesn't render\n by default.\n \n <table>\n <tbody>\n <tr><td><p><strong>Test</strong></p></td><td></td><td></td></tr>\n <tr><td></td><td></td><td></td></tr>\n ... | https://github.com/wagtail/wagtail.git | |
4 | path_up | def path_up(url, count):
urlutils.ensure_valid(url)
url = url.adjusted(QUrl.UrlFormattingOption.RemoveFragment | QUrl.UrlFormattingOption.RemoveQuery)
path = url.path(QUrl.ComponentFormattingOption.FullyEncoded)
if not path or path == '/':
raise Error("Can't go up!")
for _i in range(0, ... | 0877fb0d78635692e481c8bde224fac5ad0dd430 | 12 | navigate.py | 180 | Run scripts/dev/rewrite_enums.py | 117,525 | 0 | 81 | 111 | 32 | 321,095 | 40 | qutebrowser | 24 | qutebrowser/browser/navigate.py | Python | 11 | {
"docstring": "Helper method for :navigate when `where' is up.\n\n Args:\n url: The current url.\n count: The number of levels to go up in the url.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 24,
"vocab_size": 22
} | https://github.com/qutebrowser/qutebrowser.git | |
3 | _smooth_amount_callback | def _smooth_amount_callback(self, *args) -> None:
try:
smooth_amount = self.vars["smoothgraph"].get()
except tk.TclError:
# Don't update when there is no value in the variable
return
logger.debug("Updating graph smooth_amount: (new_value: %s, args: %s... | dab823a3eb7a5257cb1e0818ee10ed234d3de97f | 12 | display_command.py | 105 | Typing - lib.gui.display_command | 21,281 | 0 | 136 | 62 | 35 | 101,899 | 37 | faceswap | 16 | lib/gui/display_command.py | Python | 10 | {
"docstring": " Update each graph's smooth amount on variable change ",
"language": "en",
"n_whitespaces": 9,
"n_words": 8,
"vocab_size": 8
} | https://github.com/deepfakes/faceswap.git | |
2 | set_pattern | def set_pattern(self, val):
if len(val) > 5000: # avoid crash on huge search terms (#5973)
log.completion.warning(f"Trimming {len(val)}-char pattern to 5000")
val = val[:5000]
self._pattern = val
val = re.sub(r' +', r' ', val) # See #1919
val = re.escap... | 0877fb0d78635692e481c8bde224fac5ad0dd430 | 13 | listcategory.py | 188 | Run scripts/dev/rewrite_enums.py | 117,601 | 0 | 163 | 108 | 43 | 321,240 | 55 | qutebrowser | 22 | qutebrowser/completion/models/listcategory.py | Python | 14 | {
"docstring": "Setter for pattern.\n\n Args:\n val: The value to set.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 9,
"vocab_size": 9
} | https://github.com/qutebrowser/qutebrowser.git | |
1 | test_generic_relations_with_related_query_name | def test_generic_relations_with_related_query_name(self):
bookmark = Bookmark.objects.create(name="djangoproject")
tag = FunkyTag.objects.create(content_object=bookmark, name="django")
tag_url = reverse("admin:admin_views_funkytag_change", args=(tag.id,))
should_contain = '<li>F... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 13 | tests.py | 141 | Refs #33476 -- Reformatted code with Black. | 52,066 | 0 | 96 | 84 | 24 | 207,716 | 29 | django | 20 | tests/admin_views/tests.py | Python | 9 | {
"docstring": "\n If a deleted object has GenericForeignKey with\n GenericRelation(related_query_name='...') pointing to it, those objects\n should be listed for deletion.\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 18,
"vocab_size": 18
} | https://github.com/django/django.git | |
3 | parsed_paths | def parsed_paths(self) -> List[str]:
res_paths: List[str] = []
paths = self.parser.existing_paths
for directory in paths:
for filename in paths[directory]:
res_paths.append(os.path.join(directory, filename))
return res_paths
| 7d9e9a49005de7961e84d2a7c608db57dbab3046 | 14 | augeasparser.py | 89 | Add typing to certbot.apache (#9071)
* Add typing to certbot.apache
Co-authored-by: Adrien Ferrand <ferrand.ad@gmail.com> | 45,535 | 0 | 84 | 57 | 20 | 186,624 | 23 | certbot | 14 | certbot-apache/certbot_apache/_internal/augeasparser.py | Python | 16 | {
"docstring": "\n Returns a list of file paths that have currently been parsed into the parser\n tree. The returned list may include paths with wildcard characters, for\n example: ['/etc/apache2/conf.d/*.load']\n\n This is typically called on the root node of the ParserNode tree.\n\n ... | https://github.com/certbot/certbot.git | |
2 | ids | def ids(self) -> Tuple[str, ...]:
return tuple(
sorted(set([cast(str, p.get("id")) for p in self._patterns]) - set([None]))
)
| a322d6d5f2f85c2da6cded4fcd6143d41b5a9e96 | 18 | span_ruler.py | 79 | Add SpanRuler component (#9880)
* Add SpanRuler component
Add a `SpanRuler` component similar to `EntityRuler` that saves a list
of matched spans to `Doc.spans[spans_key]`. The matches from the token
and phrase matchers are deduplicated and sorted before assignment but
are not otherwise filtered.
* Update spa... | 24,383 | 0 | 48 | 49 | 16 | 111,340 | 16 | spaCy | 11 | spacy/pipeline/span_ruler.py | Python | 10 | {
"docstring": "All IDs present in the match patterns.\n\n RETURNS (set): The string IDs.\n\n DOCS: https://spacy.io/api/spanruler#ids\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 14,
"vocab_size": 14
} | https://github.com/explosion/spaCy.git | |
6 | __call__ | def __call__(self, checkpoint):
if not self.runner:
return
if checkpoint.storage == Checkpoint.PERSISTENT and checkpoint.value:
checkpoint_path = checkpoint.value
logger.debug(
"Trial %s: Deleting checkpoint %s", self.trial_id, checkpoint_pa... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 15 | trial.py | 162 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,818 | 0 | 312 | 95 | 63 | 132,826 | 79 | ray | 25 | python/ray/tune/trial.py | Python | 15 | {
"docstring": "Requests checkpoint deletion asynchronously.\n\n Args:\n checkpoint (Checkpoint): Checkpoint to delete.\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 10,
"vocab_size": 9
} | https://github.com/ray-project/ray.git | |
1 | test_unread_counts | def test_unread_counts(self) -> None:
# Check that our own messages don't increase the unread count.
self.helper.send(self.room_id, "hello", tok=self.tok)
self._check_unread_count(0)
# Join the new user and check that this doesn't increase the unread count.
self.helper... | 64c73c6ac88a740ee480a0ad1f9afc8596bccfa4 | 14 | test_sync.py | 815 | Add type hints to `tests/rest/client` (#12066) | 71,305 | 0 | 1,076 | 498 | 121 | 246,626 | 290 | synapse | 35 | tests/rest/client/test_sync.py | Python | 76 | {
"docstring": "Tests that /sync returns the right value for the unread count (MSC2654).",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | https://github.com/matrix-org/synapse.git | |
3 | get_tail | def get_tail(self, n=10, raw=True, output=False, include_latest=False):
self.writeout_cache()
if not include_latest:
n += 1
# cursor/line/entry
this_cur = list(
self._run_sql(
"WHERE session == ? ORDER BY line DESC LIMIT ? ",
... | dc5bcc1c50892a5128fcf128af28887226144927 | 12 | history.py | 198 | This fixed the mixing of multiple history seen in #13631
It forces get_tail to put the current session last in the returned
results. | 52,478 | 0 | 344 | 128 | 44 | 208,719 | 73 | ipython | 13 | IPython/core/history.py | Python | 25 | {
"docstring": "Get the last n lines from the history database.\n\n Most recent entry last.\n\n Completion will be reordered so that that the last ones are when\n possible from current session.\n\n Parameters\n ----------\n n : int\n The number of lines to get\n ... | https://github.com/ipython/ipython.git | |
4 | _discover_all_airflow_builtin_providers_from_local_sources | def _discover_all_airflow_builtin_providers_from_local_sources(self) -> None:
try:
import airflow.providers
except ImportError:
log.info("You have no providers installed.")
return
try:
for path in airflow.providers.__path__: # type: ignor... | 2fdc23333909096d427171002582e2906f8bbc0a | 11 | providers_manager.py | 96 | Fix remaining mypy issues in "core" Airflow (#20795)
Co-authored-by: Josh Fell <josh.d.fell@astronomer.io>
Co-authored-by: Tzu-ping Chung <tp@astronomer.io>
Co-authored-by: Jarek Potiuk <jarek@potiuk.com> | 8,082 | 0 | 144 | 54 | 36 | 43,879 | 38 | airflow | 13 | airflow/providers_manager.py | Python | 19 | {
"docstring": "\n Finds all built-in airflow providers if airflow is run from the local sources.\n It finds `provider.yaml` files for all such providers and registers the providers using those.\n\n This 'provider.yaml' scanning takes precedence over scanning packages installed\n in case y... | https://github.com/apache/airflow.git | |
3 | fit | def fit(self, X, y=None):
self._validate_params()
X = self._validate_data(X, ensure_min_samples=2, estimator="MinCovDet")
random_state = check_random_state(self.random_state)
n_samples, n_features = X.shape
# check that the empirical covariance is full rank
if (l... | 47dd54f727f09a47e84fb4cb53d33f9b0f239edb | 15 | _robust_covariance.py | 331 | MAINT validate parameter in `EmpiricalCovariance`, `MinCovDet`, and `EllipticEnvelope` (#23842)
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 76,285 | 0 | 439 | 211 | 90 | 260,489 | 123 | scikit-learn | 41 | sklearn/covariance/_robust_covariance.py | Python | 31 | {
"docstring": "Fit a Minimum Covariance Determinant with the FastMCD algorithm.\n\n Parameters\n ----------\n X : array-like of shape (n_samples, n_features)\n Training data, where `n_samples` is the number of samples\n and `n_features` is the number of features.\n\n ... | https://github.com/scikit-learn/scikit-learn.git | |
4 | from_pandas | def from_pandas(cls, df, return_dims=False):
num_splits = GpuCount.get()
put_func = cls._partition_class.put
# For now, we default to row partitioning
pandas_dfs = split_result_of_axis_func_pandas(0, num_splits, df)
keys = [
put_func(cls._get_gpu_managers()[i... | 1dc16415333bf2428ee2b1f4d31ff94e66b9a0a6 | 13 | partition_manager.py | 206 | REFACTOR-#5009: use RayWrapper.materialize instead of ray.get (#5010)
Signed-off-by: Myachev <anatoly.myachev@intel.com> | 36,049 | 0 | 262 | 132 | 56 | 154,526 | 74 | modin | 26 | modin/core/execution/ray/implementations/cudf_on_ray/partitioning/partition_manager.py | Python | 20 | {
"docstring": "\n Create partitions from ``pandas.DataFrame/pandas.Series``.\n\n Parameters\n ----------\n df : pandas.DataFrame/pandas.Series\n A ``pandas.DataFrame`` to add.\n return_dims : boolean, default: False\n Is return dimensions or not.\n\n Re... | https://github.com/modin-project/modin.git | |
3 | _crossover | def _crossover(candidate):
sample_index1 = np.random.choice(len(candidate))
sample_index2 = np.random.choice(len(candidate))
sample_1 = candidate[sample_index1]
sample_2 = candidate[sample_index2]
cross_index = int(len(sample_1) * np.random.uniform(low=0.3, high=0.7))
... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 12 | genetic_searcher.py | 190 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,658 | 0 | 197 | 125 | 43 | 132,059 | 54 | ray | 23 | python/ray/tune/automl/genetic_searcher.py | Python | 17 | {
"docstring": "Perform crossover action to candidates.\n\n For example, new gene = 60% sample_1 + 40% sample_2.\n\n Args:\n candidate: List of candidate genes (encodings).\n\n Examples:\n >>> # Genes that represent 3 parameters\n >>> gene1 = np.array([[0, 0, 1], ... | https://github.com/ray-project/ray.git | |
6 | get_latest_device_activity | def get_latest_device_activity(self, device_id, activity_types):
if device_id not in self._latest_activities:
return None
latest_device_activities = self._latest_activities[device_id]
latest_activity = None
for activity_type in activity_types:
if activi... | dadcc5ebcbcf951ff677568b281c5897d990c8ae | 14 | activity.py | 106 | spelling: components/august (#64232)
Co-authored-by: Josh Soref <jsoref@users.noreply.github.com> | 108,496 | 0 | 227 | 69 | 28 | 309,801 | 42 | core | 9 | homeassistant/components/august/activity.py | Python | 15 | {
"docstring": "Return latest activity that is one of the activity_types.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
1 | upnp_factory_mock | def upnp_factory_mock() -> Iterable[Mock]:
with patch(
"homeassistant.components.dlna_dms.dms.UpnpFactory",
autospec=True,
spec_set=True,
) as upnp_factory:
upnp_device = create_autospec(UpnpDevice, instance=True)
upnp_device.name = MOCK_DEVICE_NAME
upnp_devi... | b19bf9b147f4321e89d1f7f01e68337f2102f460 | @pytest.fixture | 14 | conftest.py | 241 | Add dlna_dms integration to support DLNA Digital Media Servers (#66437) | 91,545 | 1 | 366 | 143 | 50 | 292,459 | 68 | core | 33 | tests/components/dlna_dms/conftest.py | Python | 34 | {
"docstring": "Mock the UpnpFactory class to construct DMS-style UPnP devices.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/home-assistant/core.git |
3 | _setup | def _setup(self, name=None):
settings_module = os.environ.get(ENVIRONMENT_VARIABLE)
if not settings_module:
desc = ("setting %s" % name) if name else "settings"
raise ImproperlyConfigured(
"Requested %s, but settings are not configured. "
... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 12 | __init__.py | 99 | Refs #33476 -- Reformatted code with Black. | 50,300 | 0 | 172 | 56 | 45 | 203,320 | 51 | django | 12 | django/conf/__init__.py | Python | 11 | {
"docstring": "\n Load the settings module pointed to by the environment variable. This\n is used the first time settings are needed, if the user hasn't\n configured settings manually.\n ",
"language": "en",
"n_whitespaces": 55,
"n_words": 26,
"vocab_size": 21
} | https://github.com/django/django.git | |
1 | transform_vector | def transform_vector(self, vector):
return Vector(
(vector.x + self.offset[0]) * self.scale[0],
(vector.y + self.offset[1]) * self.scale[1],
)
| d10f15e55806c6944827d801cd9c2d53f5da4186 | 12 | image_operations.py | 78 | Reformat with black | 16,345 | 0 | 59 | 52 | 14 | 75,054 | 16 | wagtail | 8 | wagtail/images/image_operations.py | Python | 5 | {
"docstring": "\n Transforms the given vector into the coordinate space of the final image.\n\n Use this to find out where a point on the source image would end up in the\n final image after cropping/resizing has been performed.\n\n Returns a new vector.\n ",
"language": "en",
... | https://github.com/wagtail/wagtail.git | |
1 | test_kbinsdiscretizer_effect_sample_weight | def test_kbinsdiscretizer_effect_sample_weight():
X = np.array([[-2], [-1], [1], [3], [500], [1000]])
# add a large number of bins such that each sample with a non-null weight
# will be used as bin edge
est = KBinsDiscretizer(n_bins=10, encode="ordinal", strategy="quantile")
est.fit(X, sample_w... | 1f3c1be77a5b15d6bc1a5bfd9eb64315928679b1 | 11 | test_discretization.py | 194 | ENH add support for sample_weight in KBinsDiscretizer with strategy="quantile" (#24935)
Co-authored-by: seladus <clement.blancovolle@insa-rouen.fr>
Co-authored-by: Seladus <71873495+Seladus@users.noreply.github.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> | 76,979 | 0 | 80 | 145 | 48 | 261,762 | 56 | scikit-learn | 14 | sklearn/preprocessing/tests/test_discretization.py | Python | 6 | {
"docstring": "Check the impact of `sample_weight` one computed quantiles.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/scikit-learn/scikit-learn.git | |
3 | _predict_recursive | def _predict_recursive(self, X, x_squared_norms, sample_weight, cluster_node):
if cluster_node.left is None:
# This cluster has no subcluster. Labels are just the label of the cluster.
return np.full(X.shape[0], cluster_node.label, dtype=np.int32)
# Determine if data po... | 0822851f5cb17827939a7d7b4f8c84f43184ae89 | 11 | _bisect_k_means.py | 272 | FEA Bisecting K-Means (#20031)
Co-authored-by: Gael Varoquaux <gael.varoquaux@normalesup.org>
Co-authored-by: Tom Dupré la Tour <tom.dupre-la-tour@m4x.org>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 75,897 | 0 | 325 | 186 | 70 | 259,752 | 99 | scikit-learn | 25 | sklearn/cluster/_bisect_k_means.py | Python | 23 | {
"docstring": "Predict recursively by going down the hierarchical tree.\n\n Parameters\n ----------\n X : {ndarray, csr_matrix} of shape (n_samples, n_features)\n The data points, currently assigned to `cluster_node`, to predict between\n the subclusters of this node.\n\n ... | https://github.com/scikit-learn/scikit-learn.git | |
1 | test_get | def test_get(self):
# Generate signature
signature = generate_signature(self.image.id, "fill-800x600")
# Get the image
response = self.client.get(
reverse(
"wagtailimages_serve", args=(signature, self.image.id, "fill-800x600")
)
)... | d10f15e55806c6944827d801cd9c2d53f5da4186 | 14 | tests.py | 127 | Reformat with black | 16,397 | 0 | 138 | 74 | 24 | 75,348 | 31 | wagtail | 15 | wagtail/images/tests/tests.py | Python | 10 | {
"docstring": "\n Test a valid GET request to the view\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 8,
"vocab_size": 8
} | https://github.com/wagtail/wagtail.git | |
2 | set_temp_hold | def set_temp_hold(self, temp):
if self.hvac_mode in (HVACMode.HEAT, HVACMode.COOL):
heat_temp = temp
cool_temp = temp
else:
delta = self.thermostat["settings"]["heatCoolMinDelta"] / 10.0
heat_temp = temp - delta
cool_temp = temp + delt... | 7b1d5fb10af9cf71fae27f9e1020e18bd1fc2510 | 13 | climate.py | 102 | Use climate enums in ecobee (#70632) | 97,614 | 0 | 115 | 64 | 21 | 298,672 | 32 | core | 12 | homeassistant/components/ecobee/climate.py | Python | 9 | {
"docstring": "Set temperature hold in modes other than auto.\n\n Ecobee API: It is good practice to set the heat and cool hold\n temperatures to be the same, if the thermostat is in either heat, cool,\n auxHeatOnly, or off mode. If the thermostat is in auto mode, an\n additional rule is ... | https://github.com/home-assistant/core.git | |
1 | test_archiving_interrupted | def test_archiving_interrupted(self) -> None:
expired_msg_ids = self._make_expired_zulip_messages(7)
expired_usermsg_ids = self._get_usermessage_ids(expired_msg_ids)
# Insert an exception near the end of the archiving process of a chunk:
with mock.patch(
"zerver.lib... | 033d2615f6614b06c8268fe60c6ee2a37892c204 | 16 | test_retention.py | 223 | ruff: Fix B017 `assertRaises(Exception):` should be considered evil.
Signed-off-by: Anders Kaseorg <anders@zulip.com> | 17,912 | 0 | 377 | 132 | 68 | 85,040 | 81 | zulip | 23 | zerver/tests/test_retention.py | Python | 23 | {
"docstring": "Check that queries get rolled back to a consistent state\n if archiving gets interrupted in the middle of processing a chunk.",
"language": "en",
"n_whitespaces": 27,
"n_words": 21,
"vocab_size": 20
} | https://github.com/zulip/zulip.git | |
1 | test_unknown_sequence_followed_by_known_sequence | def test_unknown_sequence_followed_by_known_sequence(parser):
unknown_sequence = "\x1b[?"
known_sequence = "\x1b[8~" # key = 'end'
sequence = unknown_sequence + known_sequence
events = parser.feed(sequence)
assert next(events).key == "escape"
assert next(events).key == "["
assert nex... | bfb962bacf274373e5706090cd854b6aa0857270 | 9 | test_xterm_parser.py | 137 | Backtracking unknown escape sequences, various tests for XTermParser | 44,340 | 0 | 77 | 73 | 24 | 183,789 | 39 | textual | 12 | tests/test_xterm_parser.py | Python | 11 | {
"docstring": " When we feed the parser an unknown sequence followed by a known\n sequence. The characters in the unknown sequence are delivered as keys,\n and the known escape sequence that follows is delivered as expected.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 34,
"vocab_size": 26... | https://github.com/Textualize/textual.git | |
3 | write_to_directory | def write_to_directory(self, metric_info_dir, pretty_print=False):
with open(os.path.join(metric_info_dir, config.METRIC_INFO_FILENAME), "w", encoding="utf-8") as f:
json.dump(asdict(self), f, indent=4 if pretty_print else None)
if self.license:
with open(os.path.join(m... | 98f2f1390d558d54faa84ae9d2c503d624c7a9ef | 15 | info.py | 154 | Pretty print dataset info files (#4116)
* Pass indent to `json.dumps`
* Minor fix
* Pretty print GH dataset infos
* Style
* Revert "Pretty print GH dataset infos"
This reverts commit cf0523d4c9c176271cad44cd0d9dd595d233e817.
* Add pretty print option | 21,931 | 0 | 86 | 94 | 21 | 104,689 | 28 | datasets | 19 | src/datasets/info.py | Python | 6 | {
"docstring": "Write `MetricInfo` as JSON to `metric_info_dir`.\n Also save the license separately in LICENCE.\n If `pretty_print` is True, the JSON will be pretty-printed with the indent level of 4.\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 28,
"vocab_size": 25
} | https://github.com/huggingface/datasets.git | |
4 | axvline | def axvline(self, x=0, ymin=0, ymax=1, **kwargs):
self._check_no_units([ymin, ymax], ['ymin', 'ymax'])
if "transform" in kwargs:
raise ValueError("'transform' is not allowed as a keyword "
"argument; axvline generates its own transform.")
xmin, x... | 383de519505964ed879c40b23ef36e90c17ebe0d | 11 | _axes.py | 227 | [Doc] fix more spelling and grammar | 24,055 | 0 | 208 | 139 | 66 | 110,316 | 74 | matplotlib | 23 | lib/matplotlib/axes/_axes.py | Python | 14 | {
"docstring": "\n Add a vertical line across the Axes.\n\n Parameters\n ----------\n x : float, default: 0\n x position in data coordinates of the vertical line.\n\n ymin : float, default: 0\n Should be between 0 and 1, 0 being the bottom of the plot, 1 the\n ... | https://github.com/matplotlib/matplotlib.git | |
1 | update | def update(self, props):
return self._update_props(
props, "{cls.__name__!r} object has no property {prop_name!r}")
| d69be2554cf6d1ac711bf433b1d6f176e3290d4f | 8 | artist.py | 30 | Clarify error message for bad keyword arguments.
`plot([], [], foo=42)` previously emitted
```
'Line2D' object has no property 'foo'
```
which refers to the Matplotlib-specific concept of "properties". It now
instead emits
```
Line2D.set() got an unexpected keyword argument 'foo'
```
which is modeled after the standa... | 22,841 | 0 | 37 | 17 | 12 | 107,629 | 12 | matplotlib | 4 | lib/matplotlib/artist.py | Python | 3 | {
"docstring": "\n Update this artist's properties from the dict *props*.\n\n Parameters\n ----------\n props : dict\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 13,
"vocab_size": 12
} | https://github.com/matplotlib/matplotlib.git | |
12 | remove | def remove(name=None, pkgs=None, **kwargs):
targets = salt.utils.args.split_input(pkgs) if pkgs else [name]
if not targets:
return {}
if pkgs:
log.debug("Removing these fileset(s)/rpm package(s) %s: %s", name, targets)
errors = []
# Get a list of the currently installed pkgs.... | fae5bc757ad0f1716483ce7ae180b451545c2058 | 16 | aixpkg.py | 648 | Updated to remove use of f-strings, and review comments | 53,843 | 0 | 979 | 385 | 123 | 215,126 | 220 | salt | 42 | salt/modules/aixpkg.py | Python | 65 | {
"docstring": "\n Remove specified fileset(s)/rpm package(s).\n\n name\n The name of the fileset or rpm package to be deleted.\n\n .. versionchanged:: 3005\n\n preference to install rpm packages are to use in the following order:\n /opt/freeware/bin/dnf\n /opt/freeware/bi... | https://github.com/saltstack/salt.git | |
2 | codes | def codes(self):
if not self.known:
msg = (
"`df.column.cat.codes` with unknown categories is not "
"supported. Please use `column.cat.as_known()` or "
"`df.categorize()` beforehand to ensure known categories"
)
raise ... | ecbab9d7cb52a2d96cb1b8dc397a87811e6f8059 | 11 | categorical.py | 61 | Add ``AttributeNotImplementedError`` for properties so IPython glob search works (#9231) | 36,714 | 0 | 132 | 31 | 30 | 156,683 | 32 | dask | 6 | dask/dataframe/categorical.py | Python | 9 | {
"docstring": "The codes of this categorical.\n\n If categories are unknown, an error is raised",
"language": "en",
"n_whitespaces": 19,
"n_words": 13,
"vocab_size": 13
} | https://github.com/dask/dask.git | |
3 | get_local_ffmpeg | def get_local_ffmpeg() -> Optional[Path]:
ffmpeg_path = Path(get_spotdl_path()) / ("ffmpeg" + (".exe" if platform.system() == "Windows" else ""))
if ffmpeg_path.is_file():
return ffmpeg_path
return None
| e96e8ed7ec7e7cdffceaeb2c42e0396d4e3a8906 | 14 | ffmpeg.py | 86 | fixed local path creation on *nix machines | 5,524 | 0 | 42 | 47 | 20 | 30,374 | 23 | spotify-downloader | 8 | spotdl/utils/ffmpeg.py | Python | 11 | {
"docstring": "\n Get local ffmpeg binary path.\n\n ### Returns\n - Path to ffmpeg binary or None if not found.\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 17,
"vocab_size": 15
} | https://github.com/spotDL/spotify-downloader.git | |
6 | get_date_list | def get_date_list(self, queryset, date_type=None, ordering="ASC"):
date_field = self.get_date_field()
allow_empty = self.get_allow_empty()
if date_type is None:
date_type = self.get_date_list_period()
if self.uses_datetime_field:
date_list = queryset.dat... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 15 | dates.py | 175 | Refs #33476 -- Reformatted code with Black. | 51,761 | 0 | 230 | 108 | 38 | 206,860 | 55 | django | 19 | django/views/generic/dates.py | Python | 17 | {
"docstring": "\n Get a date list by calling `queryset.dates/datetimes()`, checking\n along the way for empty lists that aren't allowed.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 17,
"vocab_size": 17
} | https://github.com/django/django.git | |
1 | test_fetch_lfw_people_internal_cropping | def test_fetch_lfw_people_internal_cropping():
# If cropping was not done properly and we don't resize the images, the images would
# have their original size (250x250) and the image would not fit in the NumPy array
# pre-allocated based on `slice_` parameter.
slice_ = (slice(70, 195), slice(78, 17... | 3714c900fc6ddcc87ad4486a41e0d1a4324d7209 | 10 | test_lfw.py | 129 | FIX crop properly the image in fetch_lfw_people (#24951)
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 76,869 | 0 | 142 | 87 | 55 | 261,573 | 66 | scikit-learn | 14 | sklearn/datasets/tests/test_lfw.py | Python | 13 | {
"docstring": "Check that we properly crop the images.\n\n Non-regression test for:\n https://github.com/scikit-learn/scikit-learn/issues/24942\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 11,
"vocab_size": 11
} | https://github.com/scikit-learn/scikit-learn.git | |
10 | prepopulated_fields_js | def prepopulated_fields_js(context):
prepopulated_fields = []
if "adminform" in context:
prepopulated_fields.extend(context["adminform"].prepopulated_fields)
if "inline_admin_formsets" in context:
for inline_admin_formset in context["inline_admin_formsets"]:
for inline_admin... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | @register.tag(name="prepopulated_fields_js") | 16 | admin_modify.py | 322 | Refs #33476 -- Reformatted code with Black. | 50,414 | 1 | 396 | 178 | 57 | 203,504 | 81 | django | 20 | django/contrib/admin/templatetags/admin_modify.py | Python | 32 | {
"docstring": "\n Create a list of prepopulated_fields that should render JavaScript for\n the prepopulated fields for both the admin form and inlines.\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 20,
"vocab_size": 18
} | https://github.com/django/django.git |
4 | _split_multiext | def _split_multiext(name, min=3, max=4, count=2):
extension = ''
for i, sfx in enumerate(reversed(_suffixes(name))):
if i >= count:
break
if min <= len(sfx) <= max:
extension = '%s%s' % (sfx, extension)
name = name.rstrip(sfx)
else:
#... | 8ebca4a6a3a9836ce515a4dc60044c52465ef170 | 12 | urls.py | 126 | fetch_file - properly split files with multi-part file extensions (#75257) | 79,494 | 0 | 133 | 77 | 37 | 268,366 | 45 | ansible | 13 | lib/ansible/module_utils/urls.py | Python | 11 | {
"docstring": "Split a multi-part extension from a file name.\n\n Returns '([name minus extension], extension)'.\n\n Define the valid extension length (including the '.') with 'min' and 'max',\n 'count' sets the number of extensions, counting from the end, to evaluate.\n Evaluation stops on the first fil... | https://github.com/ansible/ansible.git | |
1 | test_upload_file_publish | def test_upload_file_publish(self):
file_upload = ContentFile(b"A new file", name="published-file.txt")
post_data = {
"title": "New file",
"slug": "new-file",
"file_field": file_upload,
"action-publish": "Publish",
}
response = sel... | d10f15e55806c6944827d801cd9c2d53f5da4186 | 14 | test_edit_page.py | 234 | Reformat with black | 15,695 | 0 | 219 | 138 | 46 | 71,596 | 55 | wagtail | 25 | wagtail/admin/tests/pages/test_edit_page.py | Python | 18 | {
"docstring": "\n Check that file uploads work when directly publishing\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 8,
"vocab_size": 8
} | https://github.com/wagtail/wagtail.git | |
5 | __eq__ | def __eq__(self, other):
if isinstance(other, str):
try:
other = GEOSGeometry.from_ewkt(other)
except (ValueError, GEOSException):
return False
return (
isinstance(other, GEOSGeometry)
and self.srid == other.srid
... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 12 | geometry.py | 93 | Refs #33476 -- Reformatted code with Black. | 50,623 | 0 | 139 | 59 | 23 | 204,045 | 26 | django | 11 | django/contrib/gis/geos/geometry.py | Python | 11 | {
"docstring": "\n Equivalence testing, a Geometry may be compared with another Geometry\n or an EWKT representation.\n ",
"language": "en",
"n_whitespaces": 36,
"n_words": 14,
"vocab_size": 13
} | https://github.com/django/django.git | |
2 | id_for_label | def id_for_label(self):
widget = self.field.widget
id_ = widget.attrs.get("id") or self.auto_id
return widget.id_for_label(id_)
| 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 10 | boundfield.py | 59 | Refs #33476 -- Reformatted code with Black. | 51,284 | 0 | 40 | 34 | 11 | 205,923 | 12 | django | 8 | django/forms/boundfield.py | Python | 4 | {
"docstring": "\n Wrapper around the field widget's `id_for_label` method.\n Useful, for example, for focusing on this field regardless of whether\n it has a single widget or a MultiWidget.\n ",
"language": "en",
"n_whitespaces": 55,
"n_words": 26,
"vocab_size": 23
} | https://github.com/django/django.git | |
6 | decode_predictions | def decode_predictions(preds, top=5):
global CLASS_INDEX
if len(preds.shape) != 2 or preds.shape[1] != 1000:
raise ValueError(
"`decode_predictions` expects "
"a batch of predictions "
"(i.e. a 2D array of shape (samples, 1000)). "
"Found array with ... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 15 | imagenet_utils.py | 271 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 80,052 | 0 | 268 | 164 | 66 | 269,382 | 85 | keras | 30 | keras/applications/imagenet_utils.py | Python | 25 | {
"docstring": "Decodes the prediction of an ImageNet model.\n\n Args:\n preds: Numpy array encoding a batch of predictions.\n top: Integer, how many top-guesses to return. Defaults to 5.\n\n Returns:\n A list of lists of top class prediction tuples\n `(class_name, class_description, score)`... | https://github.com/keras-team/keras.git | |
1 | handle_expect_100 | def handle_expect_100(self):
self.send_response_only(HTTPStatus.CONTINUE)
self.end_headers()
return True
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 8 | server.py | 38 | add python 3.10.4 for windows | 54,971 | 0 | 34 | 21 | 6 | 217,864 | 6 | XX-Net | 6 | python3.10.4/Lib/http/server.py | Python | 4 | {
"docstring": "Decide what to do with an \"Expect: 100-continue\" header.\n\n If the client is expecting a 100 Continue response, we must\n respond with either a 100 Continue or a final response before\n waiting for the request body. The default is to always respond\n with a 100 Continue.... | https://github.com/XX-net/XX-Net.git | |
4 | paginator_number | def paginator_number(cl, i):
if i == cl.paginator.ELLIPSIS:
return format_html("{} ", cl.paginator.ELLIPSIS)
elif i == cl.page_num:
return format_html('<span class="this-page">{}</span> ', i)
else:
return format_html(
'<a href="{}"{}>{}</a> ',
cl.get_quer... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 16 | admin_list.py | 128 | Refs #33476 -- Reformatted code with Black. | 50,406 | 0 | 122 | 78 | 30 | 203,487 | 38 | django | 11 | django/contrib/admin/templatetags/admin_list.py | Python | 12 | {
"docstring": "\n Generate an individual page index link in a paginated list.\n ",
"language": "en",
"n_whitespaces": 17,
"n_words": 10,
"vocab_size": 10
} | https://github.com/django/django.git | |
4 | test_thumbnail_repeated_thumbnail | def test_thumbnail_repeated_thumbnail(self) -> None:
self._test_thumbnail(
"scale", self.test_image.expected_scaled, self.test_image.expected_found
)
if not self.test_image.expected_found:
return
# Fetching again should work, without re-requesting the i... | 32c828d0f760492711a98b11376e229d795fd1b3 | 11 | test_media_storage.py | 414 | Add type hints to `tests/rest`. (#12208)
Co-authored-by: Patrick Cloke <clokep@users.noreply.github.com> | 71,705 | 0 | 586 | 263 | 68 | 247,511 | 112 | synapse | 33 | tests/rest/media/v1/test_media_storage.py | Python | 49 | {
"docstring": "Test that fetching the same thumbnail works, and deleting the on disk\n thumbnail regenerates it.\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 15,
"vocab_size": 13
} | https://github.com/matrix-org/synapse.git | |
4 | _check_readonly_fields | def _check_readonly_fields(self, obj):
if obj.readonly_fields == ():
return []
elif not isinstance(obj.readonly_fields, (list, tuple)):
return must_be(
"a list or tuple", option="readonly_fields", obj=obj, id="admin.E034"
)
else:
... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 16 | checks.py | 137 | Refs #33476 -- Reformatted code with Black. | 50,315 | 0 | 250 | 85 | 37 | 203,341 | 42 | django | 16 | django/contrib/admin/checks.py | Python | 16 | {
"docstring": "Check that readonly_fields refers to proper attribute or field.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/django/django.git | |
5 | semilogy | def semilogy(self, *args, **kwargs):
d = {k: v for k, v in kwargs.items()
if k in ['base', 'subs', 'nonpositive',
'basey', 'subsy', 'nonposy']}
self.set_yscale('log', **d)
return self.plot(
*args, **{k: v for k, v in kwargs.items() if k not... | 383de519505964ed879c40b23ef36e90c17ebe0d | 12 | _axes.py | 139 | [Doc] fix more spelling and grammar | 24,062 | 0 | 111 | 84 | 27 | 110,323 | 39 | matplotlib | 10 | lib/matplotlib/axes/_axes.py | Python | 7 | {
"docstring": "\n Make a plot with log scaling on the y-axis.\n\n Call signatures::\n\n semilogy([x], y, [fmt], data=None, **kwargs)\n semilogy([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)\n\n This is just a thin wrapper around `.plot` which additionally changes\n ... | https://github.com/matplotlib/matplotlib.git | |
1 | test_upgrade_org_config_no_source_code_provider | def test_upgrade_org_config_no_source_code_provider(self):
with self.tasks():
self.assert_setup_flow()
project_id = self.project.id
org = self.organization
data = {
"project_mappings": [[project_id, "Qme9NXBpguaRxcXssZ1NWHVaM98MAL6PHDXUs1jPrgiM8H"]]
... | 284e980df0018f8baee659999268bdd4c7d08255 | 11 | test_integration.py | 174 | ref: replace self.assertRaises with pytest.raises (#35685)
* add flake8 plugin to detect assertRaises
* ref: replace self.assertRaises with pytest.raises
* non-sed fixes | 18,763 | 0 | 188 | 101 | 29 | 91,382 | 34 | sentry | 26 | tests/sentry/integrations/vercel/test_integration.py | Python | 18 | {
"docstring": "Test that the function doesn't progress if the Vercel project hasn't been connected to a Git repository",
"language": "en",
"n_whitespaces": 16,
"n_words": 17,
"vocab_size": 16
} | https://github.com/getsentry/sentry.git | |
5 | _get_coeff_exp | def _get_coeff_exp(expr, x):
from sympy.simplify import powsimp
(c, m) = expand_power_base(powsimp(expr)).as_coeff_mul(x)
if not m:
return c, S.Zero
[m] = m
if m.is_Pow:
if m.base != x:
raise _CoeffExpValueError('expr not of form a*x**b')
return c, m.exp
... | f757f3daae6e11ea0cfb7dadc133274d8d74315f | 12 | meijerint.py | 148 | Reordered imports 2 | 48,173 | 0 | 122 | 90 | 37 | 196,786 | 52 | sympy | 17 | sympy/integrals/meijerint.py | Python | 14 | {
"docstring": "\n When expr is known to be of the form c*x**b, with c and/or b possibly 1,\n return c, b.\n\n Examples\n ========\n\n >>> from sympy.abc import x, a, b\n >>> from sympy.integrals.meijerint import _get_coeff_exp\n >>> _get_coeff_exp(a*x**b, x)\n (a, b)\n >>> _get_coeff_exp(x... | https://github.com/sympy/sympy.git | |
2 | process | def process(self) -> None:
logger.debug("Starting Conversion")
# queue_manager.debug_monitor(5)
try:
self._convert_images()
self._disk_io.save_thread.join()
queue_manager.terminate_queues()
finalize(self._images.count,
... | 1022651eb8a7741014f5d2ec7cbfe882120dfa5f | 12 | convert.py | 150 | Bugfix: convert - Gif Writer
- Fix non-launch error on Gif Writer
- convert plugins - linting
- convert/fs_media/preview/queue_manager - typing
- Change convert items from dict to Dataclass | 20,804 | 0 | 313 | 82 | 77 | 101,389 | 89 | faceswap | 20 | scripts/convert.py | Python | 26 | {
"docstring": " The entry point for triggering the Conversion Process.\n\n Should only be called from :class:`lib.cli.launcher.ScriptExecutor`\n\n Raises\n ------\n FaceswapError\n Error raised if the process runs out of memory\n ",
"language": "en",
"n_whitespaces"... | https://github.com/deepfakes/faceswap.git | |
5 | _oas | def _oas(X, *, assume_centered=False):
# for only one feature, the result is the same whatever the shrinkage
if len(X.shape) == 2 and X.shape[1] == 1:
if not assume_centered:
X = X - X.mean()
return np.atleast_2d((X**2).mean()), 0.0
n_samples, n_features = X.shape
emp_... | a4d470838fe0cc31ba838594e4c8b0ff15be91f8 | 14 | _shrunk_covariance.py | 266 | MAINT Parameters validation for `covariance.oas` (#24904)
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> | 77,005 | 0 | 176 | 176 | 75 | 261,801 | 112 | scikit-learn | 21 | sklearn/covariance/_shrunk_covariance.py | Python | 15 | {
"docstring": "Estimate covariance with the Oracle Approximating Shrinkage algorithm.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/scikit-learn/scikit-learn.git | |
5 | ledoit_wolf | def ledoit_wolf(X, *, assume_centered=False, block_size=1000):
X = check_array(X)
# for only one feature, the result is the same whatever the shrinkage
if len(X.shape) == 2 and X.shape[1] == 1:
if not assume_centered:
X = X - X.mean()
return np.atleast_2d((X**2).mean()), 0.0... | 1fc86b6aacd89da44a3b4e8abf7c3e2ba4336ffe | 14 | _shrunk_covariance.py | 284 | MNT Update black to stable version (#22474) | 75,444 | 0 | 229 | 182 | 76 | 258,820 | 109 | scikit-learn | 26 | sklearn/covariance/_shrunk_covariance.py | Python | 22 | {
"docstring": "Estimates the shrunk Ledoit-Wolf covariance matrix.\n\n Read more in the :ref:`User Guide <shrunk_covariance>`.\n\n Parameters\n ----------\n X : array-like of shape (n_samples, n_features)\n Data from which to compute the covariance estimate\n\n assume_centered : bool, default=F... | https://github.com/scikit-learn/scikit-learn.git | |
1 | create_pax_global_header | def create_pax_global_header(cls, pax_headers):
return cls._create_pax_generic_header(pax_headers, XGLTYPE, "utf8")
| c69d55f7c82d5ae2cce542bcfb98d043ca4836a0 | 8 | tarfile.py | 32 | Vendor in pip 22.1.2 | 3,872 | 0 | 21 | 19 | 7 | 21,486 | 7 | pipenv | 5 | pipenv/patched/notpip/_vendor/distlib/_backport/tarfile.py | Python | 2 | {
"docstring": "Return the object as a pax global header block sequence.\n ",
"language": "en",
"n_whitespaces": 17,
"n_words": 10,
"vocab_size": 10
} | https://github.com/pypa/pipenv.git | |
7 | adapt | def adapt(self, data, batch_size=None, steps=None):
_disallow_inside_tf_function("adapt")
if not version_utils.should_use_v2():
raise RuntimeError("`adapt` is only supported in tensorflow v2.")
if not self._is_compiled:
self.compile() # Compile with defaults.
... | 3613c3defc39c236fb1592c4f7ba1a9cc887343a | 15 | base_preprocessing_layer.py | 241 | Remove pylint comments.
PiperOrigin-RevId: 452353044 | 82,685 | 0 | 324 | 147 | 49 | 278,703 | 60 | keras | 32 | keras/engine/base_preprocessing_layer.py | Python | 25 | {
"docstring": "Fits the state of the preprocessing layer to the data being passed.\n\n After calling `adapt` on a layer, a preprocessing layer's state will not\n update during training. In order to make preprocessing layers efficient\n in any distribution context, they are kept constant with res... | https://github.com/keras-team/keras.git | |
2 | test_loadtxt_float_conversion | def test_loadtxt_float_conversion():
strings = [
'0.9999999999999999',
'9876543210.123456',
'5.43215432154321e+300',
'0.901',
'0.333',
]
txt = TextIO('\n'.join(strings))
res = np.loadtxt(txt)
expected = np.array([float(s) for s in strings])
assert_equ... | 66a61b03658f3c9f312505dcf7eab07e4cf91ac6 | 11 | test_io.py | 108 | Port over tests from npreadtext test suite
- Add test for parsing scientific notation.
- Add multiple-char comment test.
- Port over tests for structured dtypes.
- Add tests for exceptions on skiprows/max_rows.
- port over ndmin tests.
- Make structured data reusable, add unpack tests.
- Port over delimiter tests.
- P... | 38,418 | 0 | 82 | 61 | 23 | 159,757 | 26 | numpy | 13 | numpy/lib/tests/test_io.py | Python | 12 | {
"docstring": "\n Some tests that the conversion to float64 works as accurately as the Python\n built-in `float` function. In a naive version of the float parser, these\n strings resulted in values that were off by an ULP or two.\n ",
"language": "en",
"n_whitespaces": 50,
"n_words": 37,
"vocab_s... | https://github.com/numpy/numpy.git |
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