ast_errors stringlengths 0 3.2k | d_id int64 44 121k | id int64 70 338k | n_whitespaces int64 3 14k | path stringlengths 8 134 | n_words int64 4 4.82k | n_identifiers int64 1 131 | random_cut stringlengths 16 15.8k | commit_message stringlengths 2 15.3k | fun_name stringlengths 1 84 | commit_id stringlengths 40 40 | repo stringlengths 3 28 | file_name stringlengths 5 79 | ast_levels int64 6 31 | nloc int64 1 548 | url stringlengths 31 59 | complexity int64 1 66 | token_counts int64 6 2.13k | n_ast_errors int64 0 28 | vocab_size int64 4 1.11k | n_ast_nodes int64 15 19.2k | language stringclasses 1
value | documentation dict | code stringlengths 101 62.2k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
15,823 | 72,088 | 48 | wagtail/admin/tests/test_page_chooser.py | 9 | 6 | def test_type_eventpage_two_indexes(self):
self.make_event_section("Other events")
self.assertEqual(
self.get_best_root({"page_type": "tests.EventPage"}), se | Reformat with black | test_type_eventpage_two_indexes | d10f15e55806c6944827d801cd9c2d53f5da4186 | wagtail | test_page_chooser.py | 12 | 5 | https://github.com/wagtail/wagtail.git | 1 | 31 | 0 | 9 | 58 | Python | {
"docstring": "\n The chooser should start at the home page, as there are two\n EventIndexes with EventPages.\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 15
} | def test_type_eventpage_two_indexes(self):
self.make_event_section("Other events")
self.assertEqual(
self.get_best_root({"page_type": "tests.EventPage"}), self.home_page
)
| |
12,368 | 60,979 | 35 | .venv/lib/python3.8/site-packages/pip/_internal/req/req_file.py | 14 | 5 | def parse(self, filename, constraint):
# type: ( | upd; format | parse | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | req_file.py | 8 | 2 | https://github.com/jindongwang/transferlearning.git | 1 | 20 | 0 | 14 | 33 | Python | {
"docstring": "Parse a given file, yielding parsed lines.\n ",
"language": "en",
"n_whitespaces": 14,
"n_words": 7,
"vocab_size": 7
} | def parse(self, filename, constraint):
# type: (str, bool) -> Iterator[ParsedLine]
yield from self._parse_and_recurse(filename, constraint)
| |
81,114 | 273,358 | 141 | keras/layers/preprocessing/preprocessing_utils.py | 44 | 23 | def sparse_bincount(inputs, depth, binary_output, dtype, count_weights=None):
result = tf.sparse.bincount(
inputs,
weights=count_weights,
minlength=depth,
maxlength=depth,
axis=-1,
binary_output=binary_output,
)
result = tf.cast(result, dtype)
if inpu... | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | sparse_bincount | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | preprocessing_utils.py | 12 | 19 | https://github.com/keras-team/keras.git | 2 | 117 | 0 | 34 | 172 | Python | {
"docstring": "Apply binary or count encoding to an input and return a sparse tensor.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | def sparse_bincount(inputs, depth, binary_output, dtype, count_weights=None):
result = tf.sparse.bincount(
inputs,
weights=count_weights,
minlength=depth,
maxlength=depth,
axis=-1,
binary_output=binary_output,
)
result = tf.cast(result, dtype)
if inpu... | |
20,386 | 100,939 | 110 | lib/serializer.py | 35 | 13 | def unmarshal(self, serialized_data):
logger.debug("data type: %s", type(serialized_data))
try:
retval = self._unmarshal(serialized_data)
except Exception as err:
msg | Core updates
- Change loss loading mechanism
- Autosize tooltips based on content size
- Random linting + code modernisation | unmarshal | bad5025aea1adb9126580e14e064e6c99089243d | faceswap | serializer.py | 13 | 9 | https://github.com/deepfakes/faceswap.git | 2 | 58 | 0 | 30 | 117 | Python | {
"docstring": " Unserialize data to its original object type\n\n Parameters\n ----------\n serialized_data: varies\n Data in serializer format that is to be unmarshalled to its original object\n\n Returns\n -------\n data: varies\n The data in a python ... | def unmarshal(self, serialized_data):
logger.debug("data type: %s", type(serialized_data))
try:
retval = self._unmarshal(serialized_data)
except Exception as err:
msg = f"Error unserializing data for type {type(serialized_data)}: {str(err)}"
raise Fac... | |
42,859 | 178,914 | 111 | nuitka/freezer/IncludedDataFiles.py | 25 | 7 | def copyDataFiles():
for included_datafile in getIncludedDataFiles():
# TODO: directories should be resolved | Plugins: Massive cleanup of data file handling
* Move data file handling out of standalone only, allowing support
for other modes as well.
* Attach logger and tags to data file objects. | copyDataFiles | abfb99b0a05dd76d2ecc6ebc20732a271857c6c8 | Nuitka | IncludedDataFiles.py | 13 | 9 | https://github.com/Nuitka/Nuitka.git | 4 | 36 | 0 | 25 | 62 | Python | {
"docstring": "Copy the data files needed for standalone distribution.\n\n Notes:\n This is for data files only, not DLLs or even extension modules,\n those must be registered as entry points, and would not go through\n necessary handling if provided like this.\n ",
"language": "en",
"... | def copyDataFiles():
for included_datafile in getIncludedDataFiles():
# TODO: directories should be resolved to files.
if (
not isinstance(included_datafile, (IncludedDataFile))
or included_datafile.needsCopy()
):
_handleDataFile(
inc... | |
73,733 | 251,426 | 81 | mitmproxy/optmanager.py | 31 | 9 | def toggler(self, attr):
if attr not in self._options:
raise KeyErr | make it black! | toggler | b3587b52b25077f68116b9852b041d33e7fc6601 | mitmproxy | optmanager.py | 11 | 8 | https://github.com/mitmproxy/mitmproxy.git | 3 | 47 | 0 | 29 | 73 | Python | {
"docstring": "\n Generate a toggler for a boolean attribute. This returns a callable\n that takes no arguments.\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 13
} | def toggler(self, attr):
if attr not in self._options:
raise KeyError("No such option: %s" % attr)
o = self._options[attr]
if o.typespec != bool:
raise ValueError("Toggler can only be used with boolean options")
| |
11,221 | 55,127 | 22 | src/prefect/testing/cli.py | 6 | 7 | def disable_terminal_wrapping(monkeypatch):
monkeypatch.setattr(
"prefect.cli.profile.console", rich.console.Console(soft_wrap=True)
)
| Continue moving objects to sensible locations | disable_terminal_wrapping | 05b2cf58e0610cedcea27e4d8cb96ad95307a068 | prefect | cli.py | 10 | 4 | https://github.com/PrefectHQ/prefect.git | 1 | 23 | 0 | 6 | 41 | Python | {
"docstring": "\n Sometimes, line wrapping makes it hard to make deterministic assertions about the\n output of a CLI command. Wrapping can be disabled by using this fixture.\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 25,
"vocab_size": 25
} | def disable_terminal_wrapping(monkeypatch):
monkeypatch.setattr(
"prefect.cli.profile.console", rich.console.Console(soft_wrap=True)
)
| |
47,660 | 196,160 | 54 | sympy/combinatorics/permutations.py | 19 | 9 | def __add__(self, other):
rank = (self.rank() + other) % self.cardinality
rv = self.unrank_lex(self.size, rank)
rv._rank = rank
| Updated import locations | __add__ | 498015021131af4dbb07eb110e5badaba8250c7b | sympy | permutations.py | 11 | 5 | https://github.com/sympy/sympy.git | 1 | 42 | 0 | 15 | 68 | Python | {
"docstring": "Return permutation that is other higher in rank than self.\n\n The rank is the lexicographical rank, with the identity permutation\n having rank of 0.\n\n Examples\n ========\n\n >>> from sympy.combinatorics import Permutation\n >>> I = Permutation([0, 1, 2, 3... | def __add__(self, other):
rank = (self.rank() + other) % self.cardinality
rv = self.unrank_lex(self.size, rank)
rv._rank = rank
return rv
| |
72,059 | 248,031 | 167 | tests/handlers/test_presence.py | 43 | 16 | def test_set_presence_from_syncing_not_set(self):
user_id = "@test:server"
status_msg = "I'm here!"
self._set_presencestate_with | Prevent a sync request from removing a user's busy presence status (#12213)
In trying to use the MSC3026 busy presence status, the user's status
would be set back to 'online' next time they synced. This change makes
it so that syncing does not affect a user's presence status if it
is currently set to 'busy': it mus... | test_set_presence_from_syncing_not_set | 73d8ded0b030a81e828c07bb134c08db67569e5d | synapse | test_presence.py | 12 | 14 | https://github.com/matrix-org/synapse.git | 1 | 85 | 0 | 33 | 139 | Python | {
"docstring": "Test that presence is not set by syncing if affect_presence is false",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | def test_set_presence_from_syncing_not_set(self):
user_id = "@test:server"
status_msg = "I'm here!"
self._set_presencestate_with_status_msg(
user_id, PresenceState.UNAVAILABLE, status_msg
)
self.get_success(
self.presence_handler.user_syncing(us... | |
72,155 | 248,209 | 234 | tests/events/test_utils.py | 37 | 7 | def test_stringy_integers(self):
input = {
"a": "100",
"b": {
"foo": 99,
" | Convert stringy power levels to integers on room upgrade (#12657) | test_stringy_integers | 051a1c3f220938a0ea1a5b328c268bdb3d1ad592 | synapse | test_utils.py | 11 | 19 | https://github.com/matrix-org/synapse.git | 1 | 71 | 0 | 24 | 131 | Python | {
"docstring": "String representations of decimal integers are converted to integers.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def test_stringy_integers(self):
input = {
"a": "100",
"b": {
"foo": 99,
"bar": "-98",
},
"d": "0999",
}
output = copy_and_fixup_power_levels_contents(input)
expected_output = {
"a": 100,... | |
13,722 | 64,785 | 30 | erpnext/accounts/doctype/bank_reconciliation_tool/bank_reconciliation_tool.py | 41 | 14 | def get_ec_matching_query(bank_account, company, amount_condition):
# get matching Expense Claim query
mod | style: format code with black | get_ec_matching_query | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | bank_reconciliation_tool.py | 14 | 31 | https://github.com/frappe/erpnext.git | 2 | 63 | 0 | 37 | 121 | Python | {
"docstring": "\n\t\tSELECT\n\t\t\t( CASE WHEN employee = %(party)s THEN 1 ELSE 0 END\n\t\t\t+ 1 ) AS rank,\n\t\t\t'Expense Claim' as doctype,\n\t\t\tname,\n\t\t\ttotal_sanctioned_amount as paid_amount,\n\t\t\t'' as reference_no,\n\t\t\t'' as reference_date,\n\t\t\temployee as party,\n\t\t\t'Employee' as party_type,... | def get_ec_matching_query(bank_account, company, amount_condition):
# get matching Expense Claim query
mode_of_payments = [
x["parent"]
for x in frappe.db.get_all(
"Mode of Payment Account", filters={"default_account": bank_account}, fields=["parent"]
)
]
mode_of_payments = "('" + "', '".join(mode_of_payme... | |
36,108 | 154,602 | 453 | modin/experimental/core/execution/native/implementations/hdk_on_native/partitioning/partition_manager.py | 114 | 47 | def run_exec_plan(cls, plan, index_cols, dtypes, columns):
omniSession = DbWorker()
# First step is to make sure all partitions are in | FEAT-#4946: Replace OmniSci with HDK (#4947)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com> | run_exec_plan | e5b1888cd932909e49194d58035da34b210b91c4 | modin | partition_manager.py | 17 | 27 | https://github.com/modin-project/modin.git | 9 | 225 | 0 | 80 | 364 | Python | {
"docstring": "\n Run execution plan in HDK storage format to materialize frame.\n\n Parameters\n ----------\n plan : DFAlgNode\n A root of an execution plan tree.\n index_cols : list of str\n A list of index columns.\n dtypes : pandas.Index\n ... | def run_exec_plan(cls, plan, index_cols, dtypes, columns):
omniSession = DbWorker()
# First step is to make sure all partitions are in HDK.
frames = plan.collect_frames()
for frame in frames:
if frame._partitions.size != 1:
raise NotImplementedError(... | |
27,062 | 121,448 | 16 | jax/_src/dtypes.py | 13 | 3 | def to_numeric_dtype(dtype):
dtype = np.dt | jax.numpy: improve support for boolean inputs | to_numeric_dtype | 3f0619599499fc0751cd6181c04d50245ef5dcce | jax | dtypes.py | 10 | 3 | https://github.com/google/jax.git | 2 | 32 | 0 | 11 | 57 | Python | {
"docstring": "Promotes a dtype into an numeric dtype, if it is not already one.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | def to_numeric_dtype(dtype):
dtype = np.dtype(dtype)
return np.dtype('int32') if dtype == np.dtype('bool') else dtype
| |
9,133 | 47,501 | 266 | tests/jobs/test_scheduler_job.py | 58 | 43 | def test_do_schedule_max_active_runs_task_removed(self, session, dag_maker):
with dag_maker(
dag_id='test_do_schedule_max_active_runs_task_removed',
start_date=DEFAULT_DATE,
schedule_interval='@once',
max_active_runs=1,
session=session,
... | Replace usage of `DummyOperator` with `EmptyOperator` (#22974)
* Replace usage of `DummyOperator` with `EmptyOperator` | test_do_schedule_max_active_runs_task_removed | 49e336ae0302b386a2f47269a6d13988382d975f | airflow | test_scheduler_job.py | 13 | 23 | https://github.com/apache/airflow.git | 1 | 156 | 0 | 50 | 249 | Python | {
"docstring": "Test that tasks in removed state don't count as actively running.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | def test_do_schedule_max_active_runs_task_removed(self, session, dag_maker):
with dag_maker(
dag_id='test_do_schedule_max_active_runs_task_removed',
start_date=DEFAULT_DATE,
schedule_interval='@once',
max_active_runs=1,
session=session,
... | |
38,908 | 161,097 | 129 | ppg_extractor/encoder/encoder.py | 36 | 12 | def forward(self, xs, masks):
if isinstance(self.embed, (Conv2dSubsampling, VGG2L)):
xs, masks = self.embed(xs, masks)
else:
xs = self.embed(xs)
xs, masks = self.encoders(xs, masks)
if isinstance(xs, tuple):
xs = xs[0]
if self.normal... | Init ppg extractor and ppg2mel (#375)
* Init ppg extractor and ppg2mel
* add preprocess and training
* FIx known issues
* Update __init__.py
Allow to gen audio
* Fix length issue
* Fix bug of preparing fid
* Fix sample issues
* Add UI usage of PPG-vc | forward | b617a87ee40ab384767a27335313c2c65ee094ec | MockingBird | encoder.py | 11 | 11 | https://github.com/babysor/MockingBird.git | 4 | 89 | 0 | 22 | 138 | Python | {
"docstring": "Encode input sequence.\n\n :param torch.Tensor xs: input tensor\n :param torch.Tensor masks: input mask\n :return: position embedded tensor and mask\n :rtype Tuple[torch.Tensor, torch.Tensor]:\n ",
"language": "en",
"n_whitespaces": 57,
"n_words": 22,
"vocab_... | def forward(self, xs, masks):
if isinstance(self.embed, (Conv2dSubsampling, VGG2L)):
xs, masks = self.embed(xs, masks)
else:
xs = self.embed(xs)
xs, masks = self.encoders(xs, masks)
if isinstance(xs, tuple):
xs = xs[0]
if self.normal... | |
83,921 | 281,630 | 32 | gamestonk_terminal/parent_classes.py | 7 | 6 | def save_class(self):
if gtff.REMEMBER_CONTEXTS:
| Remember Contexts (#1187)
* Refacotred classes
* Handling for new instance desired
* Added feature flag
* Converted all menu calls | save_class | 9e671aeba98dacc69ecbbfec1f087aca3b139ee7 | OpenBBTerminal | parent_classes.py | 10 | 3 | https://github.com/OpenBB-finance/OpenBBTerminal.git | 2 | 19 | 0 | 7 | 33 | Python | {
"docstring": "Saves the current instance of the class to be loaded later",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | def save_class(self):
if gtff.REMEMBER_CONTEXTS:
controllers[self.PATH] = self
| |
53,912 | 215,291 | 416 | salt/transport/zeromq.py | 119 | 23 | def _decode_messages(self, messages):
messages_len = len(messages)
# if it was one message, then its old style
if messages_len == 1:
payload = salt.payload.loads(messages[0])
# 2 includes a header which says who should do it
elif messages_len == 2:
... | Refactor into transports and channels | _decode_messages | d4e6111086ff713eb6609dc6c98cec98aded2564 | salt | zeromq.py | 15 | 23 | https://github.com/saltstack/salt.git | 7 | 161 | 0 | 84 | 272 | Python | {
"docstring": "\n Take the zmq messages, decrypt/decode them into a payload\n\n :param list messages: A list of messages to be decoded\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 19,
"vocab_size": 18
} | def _decode_messages(self, messages):
messages_len = len(messages)
# if it was one message, then its old style
if messages_len == 1:
payload = salt.payload.loads(messages[0])
# 2 includes a header which says who should do it
elif messages_len == 2:
... | |
31,197 | 137,593 | 193 | python/ray/tests/test_runtime_env.py | 74 | 14 | def test_get_release_wheel_url():
# This should be a commit for which wheels have al | [runtime env] Support python 3.10 for runtime_env conda (#30970)
Signed-off-by: Archit Kulkarni <architkulkarni@users.noreply.github.com>
conda environments are isolated, so when runtime_env sets up a conda environment it must download the Ray wheel into the conda environment. It must download the wheel that matche... | test_get_release_wheel_url | 98fef7732852cdb3e9377cd87c1ee1085b894928 | ray | test_runtime_env.py | 15 | 9 | https://github.com/ray-project/ray.git | 6 | 80 | 0 | 53 | 136 | Python | {
"docstring": "Test the code that generates the filenames of the `release` branch wheels.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 10
} | def test_get_release_wheel_url():
# This should be a commit for which wheels have already been built for
# all platforms and python versions at
# `s3://ray-wheels/releases/2.2.0/<commit>/`.
test_commits = {"2.2.0": "b6af0887ee5f2e460202133791ad941a41f15beb"}
for sys_platform in ["darwin", "linu... | |
72,618 | 249,111 | 282 | tests/rest/admin/test_media.py | 61 | 19 | def test_keep_media_by_date(self) -> None:
# timestamp before upload
now_ms = self.clock.time_msec()
server_and_media_id = self._create_media()
self._access_media(server_and_media_id)
channel = self.make_request(
"POST",
self.url + "?before_ts=... | Use literals in place of `HTTPStatus` constants in tests (#13469) | test_keep_media_by_date | c97042f7eef3748e17c90e48a4122389a89c4735 | synapse | test_media.py | 11 | 28 | https://github.com/matrix-org/synapse.git | 1 | 188 | 0 | 35 | 304 | Python | {
"docstring": "\n Tests that media is not deleted if it is newer than `before_ts`\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 12,
"vocab_size": 11
} | def test_keep_media_by_date(self) -> None:
# timestamp before upload
now_ms = self.clock.time_msec()
server_and_media_id = self._create_media()
self._access_media(server_and_media_id)
channel = self.make_request(
"POST",
self.url + "?before_ts=... | |
@pytest.mark.filterwarnings("ignore:Version 1 of dataset Australian is inactive")
# TODO(1.4): remove this filterwarning decorator for `parser`
@pytest.mark.filterwarnings("ignore:The default value of `parser` will change")
@pytest.mark.parametrize(
"params, err_msg",
[
(
{"parser": "pandas"... | 75,970 | 259,885 | 306 | sklearn/datasets/tests/test_openml.py | 112 | 17 | def test_fetch_openml_requires_pandas_in_future(monkeypatch):
params = {"as_frame": False, "parser": "auto"}
data_id = 1119
try:
check_pandas_support("test_fetch_openml_requires_pandas")
except ImportError:
_monkey_patch_webbased_functions(monk | ENH improve ARFF parser using pandas (#21938)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@gmail.com>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com> | test_fetch_openml_requires_pandas_in_future | a47d569e670fd4102af37c3165c9b1ddf6fd3005 | scikit-learn | test_openml.py | 13 | 14 | https://github.com/scikit-learn/scikit-learn.git | 2 | 70 | 1 | 80 | 247 | Python | {
"docstring": "Check that we raise a warning that pandas will be required in the future.",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
} | def test_fetch_openml_requires_pandas_in_future(monkeypatch):
params = {"as_frame": False, "parser": "auto"}
data_id = 1119
try:
check_pandas_support("test_fetch_openml_requires_pandas")
except ImportError:
_monkey_patch_webbased_functions(monkeypatch, data_id, True)
warn_ms... |
4,130 | 22,041 | 264 | pipenv/patched/pip/_vendor/requests/adapters.py | 62 | 19 | def get_connection(self, url, proxies=None):
proxy = select_proxy(url, proxies)
if proxy:
proxy = prepend_scheme_if_needed(proxy, "http")
proxy_url = parse_url(proxy)
if not proxy_url.host:
raise InvalidProxyURL(
"Please c... | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | get_connection | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | pipenv | adapters.py | 13 | 17 | https://github.com/pypa/pipenv.git | 3 | 92 | 0 | 49 | 157 | Python | {
"docstring": "Returns a urllib3 connection for the given URL. This should not be\n called from user code, and is only exposed for use when subclassing the\n :class:`HTTPAdapter <requests.adapters.HTTPAdapter>`.\n\n :param url: The URL to connect to.\n :param proxies: (optional) A Request... | def get_connection(self, url, proxies=None):
proxy = select_proxy(url, proxies)
if proxy:
proxy = prepend_scheme_if_needed(proxy, "http")
proxy_url = parse_url(proxy)
if not proxy_url.host:
raise InvalidProxyURL(
"Please c... | |
35,165 | 151,923 | 258 | freqtrade/templates/FreqaiExampleStrategy.py | 70 | 21 | def feature_engineering_expand_all(self, dataframe, period, **kwargs):
dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
dataframe["%-mfi-period"] = ta.MFI(dataframe, timeperiod=period)
dataframe["%-adx-period"] = ta.ADX(dataframe, timeperiod=period)
dataframe["%... | improve doc, update test strats, change function names | feature_engineering_expand_all | c2936d551b8ad6ccf7b57e2ac6cb55d8550622cf | freqtrade | FreqaiExampleStrategy.py | 14 | 24 | https://github.com/freqtrade/freqtrade.git | 1 | 217 | 0 | 42 | 361 | Python | {
"docstring": "\n *Only functional with FreqAI enabled strategies*\n This function will automatically expand the defined features on the config defined\n `indicator_periods_candles`, `include_timeframes`, `include_shifted_candles`, and\n `include_corr_pairs`. In other words, a single feat... | def feature_engineering_expand_all(self, dataframe, period, **kwargs):
dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
dataframe["%-mfi-period"] = ta.MFI(dataframe, timeperiod=period)
dataframe["%-adx-period"] = ta.ADX(dataframe, timeperiod=period)
dataframe["%... | |
50,767 | 204,521 | 44 | django/core/handlers/asgi.py | 12 | 6 | def get_script_prefix(self, scope):
if settings | Refs #33476 -- Reformatted code with Black. | get_script_prefix | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | asgi.py | 9 | 4 | https://github.com/django/django.git | 3 | 28 | 0 | 11 | 51 | Python | {
"docstring": "\n Return the script prefix to use from either the scope or a setting.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 13,
"vocab_size": 12
} | def get_script_prefix(self, scope):
if settings.FORCE_SCRIPT_NAME:
return settings.FORCE_SCRIPT_NAME
return scope.get("root_path", "") or ""
| |
11,327 | 55,476 | 65 | tests/cli/test_storage_cli.py | 19 | 9 | def test_get_first_menu_and_fail():
part_one = f
part_two = f
command = ["storage", "create"]
invoke_and_assert_in(
command=command,
desired_contents=(part_one, part_two),
e | Update tests | test_get_first_menu_and_fail | 11638691240b7595c0d02542af506a96d344ae8b | prefect | test_storage_cli.py | 10 | 23 | https://github.com/PrefectHQ/prefect.git | 1 | 44 | 0 | 16 | 82 | Python | {
"docstring": "\n Make sure that our utility function is returning as expected\n \n Found the following storage types:\n 0) Azure Blob Storage\n Store data in an Azure blob storage container.\n 1) File Storage\n Store data as a file on local or remote file systems.\n 2) Google Cloud S... | def test_get_first_menu_and_fail():
part_one = f
part_two = f
command = ["storage", "create"]
invoke_and_assert_in(
command=command,
desired_contents=(part_one, part_two),
expected_code=1,
user_input=f"{INVALID_OPTION}\n",
)
| |
41,953 | 176,544 | 107 | networkx/algorithms/planarity.py | 35 | 8 | def check_planarity(G, counterexample=False):
planarity_state = LRPlanarity(G)
embedding = planarity_state.lr_planarity()
if embedding is None:
# graph is not planar
if counterexample:
return False, get_counterexample(G)
else:
return False, None
else... | Improve documentation of PlanarEmbedding class (#5523)
* Improve documentation of PlanarEmbedding
* Fix type
* Make suggested changes
* rst formatting nits.
* Update networkx/algorithms/planarity.py
Co-authored-by: Dan Schult <dschult@colgate.edu>
* Run black for formatting
Co-authored-by: Ross Ba... | check_planarity | 1af7d49d70869081e5cb64d17165652f1b26c57b | networkx | planarity.py | 12 | 10 | https://github.com/networkx/networkx.git | 3 | 50 | 0 | 22 | 86 | Python | {
"docstring": "Check if a graph is planar and return a counterexample or an embedding.\n\n A graph is planar iff it can be drawn in a plane without\n any edge intersections.\n\n Parameters\n ----------\n G : NetworkX graph\n counterexample : bool\n A Kuratowski subgraph (to proof non planari... | def check_planarity(G, counterexample=False):
planarity_state = LRPlanarity(G)
embedding = planarity_state.lr_planarity()
if embedding is None:
# graph is not planar
if counterexample:
return False, get_counterexample(G)
else:
return False, None
else... | |
7,734 | 42,786 | 81 | airflow/providers/cncf/kubernetes/hooks/kubernetes.py | 26 | 8 | def _get_bool(val) -> Optional[bool]:
if isinstance(val, bool):
return val
elif isinstance(val, str):
if val.strip().lower() == 'true':
return True
| Use KubernetesHook to create api client in KubernetesPodOperator (#20578)
Add support for k8s hook in KPO; use it always (even when no conn id); continue to consider the core k8s settings that KPO already takes into account but emit deprecation warning about them.
KPO historically takes into account a few settings ... | _get_bool | 60eb9e106f5915398eafd6aa339ec710c102dc09 | airflow | kubernetes.py | 14 | 13 | https://github.com/apache/airflow.git | 5 | 61 | 0 | 18 | 104 | Python | {
"docstring": "\n Converts val to bool if can be done with certainty.\n If we cannot infer intention we return None.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 18,
"vocab_size": 17
} | def _get_bool(val) -> Optional[bool]:
if isinstance(val, bool):
return val
elif isinstance(val, str):
if val.strip().lower() == 'true':
return True
elif val.strip().lower() == 'false':
return False
return None
| |
37,345 | 158,166 | 259 | d2l/mxnet.py | 76 | 33 | def load_data_ptb(batch_size, max_window_size, num_noise_words):
sentences = read_ptb()
vocab = d2l.Vocab(sentences, min_freq=10)
subsampled, counter = subsample(sentences, vocab)
corpus = [vocab[line] for line in subsampled]
all_centers, all_contexts = get_centers_and_contexts(
corpus,... | [PaddlePaddle] Merge master into Paddle branch (#1186)
* change 15.2 title in chinese version (#1109)
change title ’15.2. 情感分析：使用递归神经网络‘ to ’15.2. 情感分析：使用循环神经网络‘
* 修改部分语义表述 (#1105)
* Update r0.17.5 (#1120)
* Bump versions in installation
* 94行typo: （“bert.mall”）->（“bert.small”） (#1129)
* line 313: "b... | load_data_ptb | b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | d2l-zh | mxnet.py | 11 | 15 | https://github.com/d2l-ai/d2l-zh.git | 2 | 117 | 0 | 56 | 289 | Python | {
"docstring": "Download the PTB dataset and then load it into memory.\n\n Defined in :numref:`subsec_word2vec-minibatch-loading`",
"language": "en",
"n_whitespaces": 15,
"n_words": 13,
"vocab_size": 13
} | def load_data_ptb(batch_size, max_window_size, num_noise_words):
sentences = read_ptb()
vocab = d2l.Vocab(sentences, min_freq=10)
subsampled, counter = subsample(sentences, vocab)
corpus = [vocab[line] for line in subsampled]
all_centers, all_contexts = get_centers_and_contexts(
corpus,... | |
88,252 | 289,104 | 33 | homeassistant/components/homekit/__init__.py | 12 | 6 | async def async_config_changed(self) -> None:
assert self.driver is not None
await self.hass.async_add_executor_job(self.driver.config_changed)
| Add support for restoring HomeKit IIDs (#79913) | async_config_changed | 3b33e0d832b238b40360383099391e2093ea05cb | core | __init__.py | 10 | 4 | https://github.com/home-assistant/core.git | 1 | 28 | 0 | 12 | 48 | Python | {
"docstring": "Call config changed which writes out the new config to disk.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | async def async_config_changed(self) -> None:
assert self.driver is not None
await self.hass.async_add_executor_job(self.driver.config_changed)
| |
13,314 | 63,461 | 105 | .venv/lib/python3.8/site-packages/pip/_vendor/pyparsing.py | 21 | 10 | def setDebugActions(self, startAction, successAction, exceptionAction):
self.debugActions = (startAction or _defaultStartDebug | upd; format | setDebugActions | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | pyparsing.py | 8 | 6 | https://github.com/jindongwang/transferlearning.git | 4 | 36 | 0 | 18 | 54 | Python | {
"docstring": "\n Enable display of debugging messages while doing pattern matching.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | def setDebugActions(self, startAction, successAction, exceptionAction):
self.debugActions = (startAction or _defaultStartDebugAction,
successAction or _defaultSuccessDebugAction,
exceptionAction or _defaultExceptionDebugAction)
self.debu... | |
13,771 | 64,990 | 65 | erpnext/accounts/doctype/pricing_rule/utils.py | 99 | 34 | def get_qty_amount_data_for_cumulative(pr_doc, doc, items=None):
if items is None:
items = []
sum_qty, sum_amt = [0, 0]
doctype = doc.get("parenttype") or doc.doctype
date_field = (
"transaction_date" if frappe.get_meta(doctype).has_field("transaction_date") else "posting_date"
)
child_doctype = "{0} Item".... | style: format code with black | get_qty_amount_data_for_cumulative | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | utils.py | 16 | 42 | https://github.com/frappe/erpnext.git | 7 | 245 | 0 | 72 | 406 | Python | {
"docstring": " and `tab{child_doc}`.warehouse in ({warehouses})\n\t\t\t SELECT `tab{child_doc}`.stock_qty,\n\t\t\t`tab{child_doc}`.amount\n\t\tFROM `tab{child_doc}`, `tab{parent_doc}`\n\t\tWHERE\n\t\t\t`tab{child_doc}`.parent = `tab{parent_doc}`.name and `tab{parent_doc}`.{date_field}\n\t\t\tbetween %s and %s and `... | def get_qty_amount_data_for_cumulative(pr_doc, doc, items=None):
if items is None:
items = []
sum_qty, sum_amt = [0, 0]
doctype = doc.get("parenttype") or doc.doctype
date_field = (
"transaction_date" if frappe.get_meta(doctype).has_field("transaction_date") else "posting_date"
)
child_doctype = "{0} Item".... | |
69,699 | 241,795 | 132 | scipy/sparse/linalg/_isolve/utils.py | 62 | 14 | def make_system(A, M, x0, b):
A_ = A
A = aslinearoperator(A)
if A.shape[0] != A.shape[1]:
raise ValueError(f'expected square matrix, but got shape={(A.shape,)}')
N = A.shape[0]
b = asanyarray(b)
if not (b.shape == (N,1) or b.shape == (N,)):
raise ValueError(f'shapes of A... | MAINT: sparse.linalg: Remove unnecessary operations | make_system | 5628849933f1ba002f34b88b4d3af24f68008b39 | scipy | utils.py | 13 | 51 | https://github.com/scipy/scipy.git | 17 | 379 | 0 | 48 | 194 | Python | {
"docstring": "Make a linear system Ax=b\n\n Parameters\n ----------\n A : LinearOperator\n sparse or dense matrix (or any valid input to aslinearoperator)\n M : {LinearOperator, Nones}\n preconditioner\n sparse or dense matrix (or any valid input to aslinearoperator)\n x0 : {arra... | def make_system(A, M, x0, b):
A_ = A
A = aslinearoperator(A)
if A.shape[0] != A.shape[1]:
raise ValueError(f'expected square matrix, but got shape={(A.shape,)}')
N = A.shape[0]
b = asanyarray(b)
if not (b.shape == (N,1) or b.shape == (N,)):
raise ValueError(f'shapes of A... | |
41,733 | 176,163 | 35 | networkx/generators/small.py | 23 | 5 | def dodecahedral_graph(create_using=None):
G = LCF_graph(20, [10, 7, 4, -4, -7, 10, -4, 7, -7, 4], 2, create_using)
G.name = "Dodecahedral Graph"
re | Docstrings for the small.py module (#5240)
* added description for the first 5 small graphs
* modified descriptions based on comment and added description for two more functions
* added doctrings to all the functions
* Minor touchups.
Co-authored-by: Ross Barnowski <rossbar@berkeley.edu> | dodecahedral_graph | dec723f072eb997a497a159dbe8674cd39999ee9 | networkx | small.py | 10 | 4 | https://github.com/networkx/networkx.git | 1 | 51 | 0 | 18 | 74 | Python | {
"docstring": "\n Returns the Platonic Dodecahedral graph.\n\n The dodecahedral graph has 20 nodes and 30 edges. The skeleton of the\n dodecahedron forms a graph. It is one of 5 Platonic graphs [1]_.\n It can be described in LCF notation as:\n ``[10, 7, 4, -4, -7, 10, -4, 7, -7, 4]^2`` [2]_.\n\n Pa... | def dodecahedral_graph(create_using=None):
G = LCF_graph(20, [10, 7, 4, -4, -7, 10, -4, 7, -7, 4], 2, create_using)
G.name = "Dodecahedral Graph"
return G
| |
99,478 | 300,618 | 58 | homeassistant/helpers/template.py | 17 | 10 | def arc_tangent(value, default=_SENTINEL):
try:
return math.atan(float(value))
except (ValueError, TypeError):
if default is _SENTINEL:
ra | Fail template functions when no default specified (#71687) | arc_tangent | 4885331509eeffe50f42d76b234996467b06170f | core | template.py | 13 | 7 | https://github.com/home-assistant/core.git | 3 | 42 | 0 | 15 | 70 | Python | {
"docstring": "Filter and function to get arc tangent of the value.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | def arc_tangent(value, default=_SENTINEL):
try:
return math.atan(float(value))
except (ValueError, TypeError):
if default is _SENTINEL:
raise_no_default("atan", value)
return default
| |
81,815 | 276,983 | 220 | keras/utils/metrics_utils.py | 92 | 22 | def sparse_top_k_categorical_matches(y_true, y_pred, k=5):
reshape_matches = False
y_true = tf.convert_to_tensor(y_true)
y_pred = tf.convert_to_tensor(y_pred)
y_true_rank = y_true.shape.ndims
y_pred_rank = y_pred.shape.ndims
y_true_org_shape = tf.shape(y_true)
# Flatten y_pred to (batc... | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | sparse_top_k_categorical_matches | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | metrics_utils.py | 15 | 22 | https://github.com/keras-team/keras.git | 6 | 172 | 0 | 61 | 268 | Python | {
"docstring": "Creates float Tensor, 1.0 for label-TopK_prediction match, 0.0 for mismatch.\n\n Args:\n y_true: tensor of true targets.\n y_pred: tensor of predicted targets.\n k: (Optional) Number of top elements to look at for computing accuracy.\n Defaults to 5.\n\n Returns:\n Mat... | def sparse_top_k_categorical_matches(y_true, y_pred, k=5):
reshape_matches = False
y_true = tf.convert_to_tensor(y_true)
y_pred = tf.convert_to_tensor(y_pred)
y_true_rank = y_true.shape.ndims
y_pred_rank = y_pred.shape.ndims
y_true_org_shape = tf.shape(y_true)
# Flatten y_pred to (batc... | |
@frappe.whitelist()
@frappe.validate_and_sanitize_search_inputs | 14,815 | 68,540 | 28 | erpnext/controllers/queries.py | 57 | 31 | def tax_account_query(doctype, txt, searchfield, start, page_len, filters):
company_currency = erpnext.get_company_currency(filters.get("company"))
def get_accounts(with_account_type_filter):
account_type_condition = ""
if with_account_type_filter:
account_type_condition = "AND account_type in %(account_types... | fix: user can select disabled accounts in taxes table | tax_account_query | a1e3ae8869194a487acccc706a381db74c4aa1ff | erpnext | queries.py | 16 | 7 | https://github.com/frappe/erpnext.git | 2 | 48 | 1 | 44 | 249 | Python | {
"docstring": "\n\t\t\tSELECT name, parent_account\n\t\t\tFROM `tabAccount`\n\t\t\tWHERE `tabAccount`.docstatus!=2\n\t\t\t\t{account_type_condition}\n\t\t\t\tAND is_group = 0\n\t\t\t\tAND company = %(company)s\n\t\t\t\tAND disabled = %(disabled)s\n\t\t\t\tAND (account_currency = %(currency)s or ifnull(account_curren... | def tax_account_query(doctype, txt, searchfield, start, page_len, filters):
company_currency = erpnext.get_company_currency(filters.get("company"))
def get_accounts(with_account_type_filter):
account_type_condition = ""
if with_account_type_filter:
account_type_condition = "AND account_type in %(account_types... |
16,628 | 77,101 | 196 | wagtail/images/tests/test_admin_views.py | 49 | 25 | def test_add_post_duplicate_choose_permission(self):
# Create group with access to admin and add permission.
bakers_group = Group.objects.create(name="Bakers")
access_admin_perm = Permission.objects.get(
content_type__app_label="wagtailadmin", codename="access_admin"
... | Add duplicate detection to multiple image upload view
Add utility function to find an image's potential duplicates
Add logic to detect duplicates on multiple images upload view
Add template shown when a user is prompted to confirm a duplicate upload
Add client-side logic to confirm a duplicate upload
Add/update st... | test_add_post_duplicate_choose_permission | c136f461bc052cef362991458e1bd1fca37a3da9 | wagtail | test_admin_views.py | 13 | 31 | https://github.com/wagtail/wagtail.git | 1 | 221 | 0 | 40 | 176 | Python | {
"docstring": "\n When a duplicate image is added but the user doesn't have permission to choose the original image,\n the add views lets the user upload it as if it weren't a duplicate.\n ",
"language": "en",
"n_whitespaces": 53,
"n_words": 31,
"vocab_size": 25
} | def test_add_post_duplicate_choose_permission(self):
# Create group with access to admin and add permission.
bakers_group = Group.objects.create(name="Bakers")
access_admin_perm = Permission.objects.get(
content_type__app_label="wagtailadmin", codename="access_admin"
... | |
@proxy_napalm_wrap | 54,638 | 216,561 | 38 | salt/modules/napalm_mod.py | 17 | 10 | def netmiko_commands(*commands, **kwargs):
conn = _netmiko_conn(**kwargs)
ret = []
for cmd in commands:
ret.append(conn.send_command(cmd)) | Deprecated netmiko_conn and pyeapi_conn in napalm_mod.py as these function should not be called from the CLI | netmiko_commands | d8305bfaa7b98d898f5963b01ca75f277c266322 | salt | napalm_mod.py | 11 | 6 | https://github.com/saltstack/salt.git | 2 | 39 | 1 | 15 | 70 | Python | {
"docstring": "\n .. versionadded:: 2019.2.0\n\n Invoke one or more commands to be executed on the remote device, via Netmiko.\n Returns a list of strings, with the output from each command.\n\n commands\n A list of commands to be executed.\n\n expect_string\n Regular expression pattern ... | def netmiko_commands(*commands, **kwargs):
conn = _netmiko_conn(**kwargs)
ret = []
for cmd in commands:
ret.append(conn.send_command(cmd))
return ret
@proxy_napalm_wrap |
19,938 | 100,464 | 194 | plugins/train/model/original.py | 58 | 16 | def decoder(self, side):
input_ = Input(shape=(8, 8, 512))
var_x = input_
var_x = UpscaleBlock(256, activation="leakyrelu")(var_x)
var_x = UpscaleBlock(128, activation="leakyrelu")(var_x)
var_x = UpscaleBlock(64, activation="leakyrelu")(var_x)
var_x = Conv... | Update all Keras Imports to be conditional (#1214)
* Remove custom keras importer
* first round keras imports fix
* launcher.py: Remove KerasFinder references
* 2nd round keras imports update (lib and extract)
* 3rd round keras imports update (train)
* remove KerasFinder from tests
* 4th round keras ... | decoder | aa39234538a8f83e6aa2b60b8275a570e8876ac2 | faceswap | original.py | 14 | 16 | https://github.com/deepfakes/faceswap.git | 2 | 168 | 0 | 29 | 283 | Python | {
"docstring": " The original Faceswap Decoder Network.\r\n\r\n The decoders for the original model have separate weights for each side \"A\" and \"B\", so two\r\n instances are created in :func:`build_model`, one for each side.\r\n\r\n Parameters\r\n ----------\r\n side: str\r\n ... | def decoder(self, side):
input_ = Input(shape=(8, 8, 512))
var_x = input_
var_x = UpscaleBlock(256, activation="leakyrelu")(var_x)
var_x = UpscaleBlock(128, activation="leakyrelu")(var_x)
var_x = UpscaleBlock(64, activation="leakyrelu")(var_x)
var_x = Conv... | |
17,720 | 83,758 | 382 | zerver/tests/test_subs.py | 101 | 34 | def test_users_getting_add_peer_event(self) -> None:
streams_to_sub = ["multi_user_stream"]
othello = self.example_user("othello")
cordelia = self.example_user("cordelia")
iago = self.example_user("iago")
orig_user_ids_to_subscribe = [self.test_user.id, othello.id]
... | Correctly hyphenate “non-”.
Signed-off-by: Anders Kaseorg <anders@zulip.com> | test_users_getting_add_peer_event | 6331a314d464f9c49a612023a5969e5d7b8e00a0 | zulip | test_subs.py | 16 | 31 | https://github.com/zulip/zulip.git | 5 | 228 | 0 | 73 | 378 | Python | {
"docstring": "\n Check users getting add_peer_event is correct\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | def test_users_getting_add_peer_event(self) -> None:
streams_to_sub = ["multi_user_stream"]
othello = self.example_user("othello")
cordelia = self.example_user("cordelia")
iago = self.example_user("iago")
orig_user_ids_to_subscribe = [self.test_user.id, othello.id]
... | |
37,343 | 158,164 | 100 | d2l/mxnet.py | 29 | 19 | def show_trace_2d(f, results):
d2l.set_figsize()
d2l.plt.plot(*zip(*results), '-o', color='#ff7f0e')
x1, x2 = d2 | [PaddlePaddle] Merge master into Paddle branch (#1186)
* change 15.2 title in chinese version (#1109)
change title ’15.2. 情感分析：使用递归神经网络‘ to ’15.2. 情感分析：使用循环神经网络‘
* 修改部分语义表述 (#1105)
* Update r0.17.5 (#1120)
* Bump versions in installation
* 94行typo: （“bert.mall”）->（“bert.small”） (#1129)
* line 313: "b... | show_trace_2d | b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | d2l-zh | mxnet.py | 11 | 8 | https://github.com/d2l-ai/d2l-zh.git | 1 | 113 | 0 | 27 | 193 | Python | {
"docstring": "Show the trace of 2D variables during optimization.\n\n Defined in :numref:`subsec_gd-learningrate`",
"language": "en",
"n_whitespaces": 13,
"n_words": 11,
"vocab_size": 11
} | def show_trace_2d(f, results):
d2l.set_figsize()
d2l.plt.plot(*zip(*results), '-o', color='#ff7f0e')
x1, x2 = d2l.meshgrid(d2l.arange(-5.5, 1.0, 0.1),
d2l.arange(-3.0, 1.0, 0.1))
d2l.plt.contour(x1, x2, f(x1, x2), colors='#1f77b4')
d2l.plt.xlabel('x1')
d2l.plt.ylab... | |
@pytest.mark.parametrize("use_local", [True, False]) | 29,963 | 133,242 | 141 | python/ray/util/sgd/tests/test_torch_2.py | 51 | 31 | def test_dataset(ray_start_4_cpus, use_local):
model_creator = mlp_identity.model_creator
optimizer_creator = mlp_identity.optimizer_creator
dataset_creator = mlp_identity.dataset_creator
DatasetOperator = TrainingOperator.from_creators(
model_creator=model_creator,
optimizer_crea... | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | test_dataset | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | test_torch_2.py | 13 | 21 | https://github.com/ray-project/ray.git | 2 | 130 | 1 | 41 | 216 | Python | {
"docstring": "\n This test tries training the mlp_identity example. We check the accuracy of\n the model as an all inclusive way of ensuring that we are properly sharding\n and iterating over the entire dataset (instead of repeating the first set\n of points for example).\n ",
"language": "en",
"... | def test_dataset(ray_start_4_cpus, use_local):
model_creator = mlp_identity.model_creator
optimizer_creator = mlp_identity.optimizer_creator
dataset_creator = mlp_identity.dataset_creator
DatasetOperator = TrainingOperator.from_creators(
model_creator=model_creator,
optimizer_crea... |
1,551 | 9,114 | 302 | parsing/dml_csr/loss/lovasz_softmax.py | 115 | 33 | def lovasz_softmax_flat(probas, labels, classes='present', weighted=None):
if probas.numel() == 0:
# only void pixels, the gradients should be 0
return probas * 0.
C = probas.size(1)
losses = []
class_to_sum = list(range(C)) if classes in ['all', 'present'] else classes
for c in... | Create lovasz_softmax.py | lovasz_softmax_flat | db307ffb12d6ba1f8eaeeafd29ee6d4a3fd6fa97 | insightface | lovasz_softmax.py | 18 | 25 | https://github.com/deepinsight/insightface.git | 9 | 226 | 0 | 83 | 365 | Python | {
"docstring": "\n Multi-class Lovasz-Softmax loss\n probas: [P, C] Variable, class probabilities at each prediction (between 0 and 1)\n labels: [P] Tensor, ground truth labels (between 0 and C - 1)\n classes: 'all' for all, 'present' for classes present in labels, or a list of classes to average.\n... | def lovasz_softmax_flat(probas, labels, classes='present', weighted=None):
if probas.numel() == 0:
# only void pixels, the gradients should be 0
return probas * 0.
C = probas.size(1)
losses = []
class_to_sum = list(range(C)) if classes in ['all', 'present'] else classes
for c in... | |
1,999 | 10,924 | 182 | jina/parsers/orchestrate/runtimes/distributed.py | 53 | 16 | def mixin_distributed_feature_parser(parser):
gp = add_arg_group(parser, title='Distributed')
gp.add_argument(
'--quiet-remote-logs',
action='store_true',
default=False,
help='Do not display the streaming of remote logs on local console',
)
gp.add_argument(
... | refactor: rename pod to deployment (#4230)
* refactor: rename pod to deployment
* style: fix overload and cli autocomplete
* fix: undo daemon mistake
* refactor: leftover cleanup
* fix: more test fixes
* fix: more fixes
* fix: more fixes
* fix: more fixes
* fix: more tests
* fix: fix more te... | mixin_distributed_feature_parser | 13edc16d806fb5d77a6849551178ccc75937f25f | jina | distributed.py | 10 | 33 | https://github.com/jina-ai/jina.git | 2 | 83 | 0 | 44 | 141 | Python | {
"docstring": "Mixing in arguments required by :class:`BaseDeployment` into the given parser.\n :param parser: the parser instance to which we add arguments\n \nThe files on the host to be uploaded to the remote\nworkspace. This can be useful when your Deployment has more\nfile dependencies beyond a single YAM... | def mixin_distributed_feature_parser(parser):
gp = add_arg_group(parser, title='Distributed')
gp.add_argument(
'--quiet-remote-logs',
action='store_true',
default=False,
help='Do not display the streaming of remote logs on local console',
)
gp.add_argument(
... | |
77,473 | 263,858 | 317 | PyInstaller/depend/analysis.py | 155 | 19 | def get_bootstrap_modules():
# Import 'struct' modules to get real paths to module file names.
mod_struct = __import__('struct')
# Basic modules necessary for the bootstrap process.
loader_mods = TOC()
loaderpath = os.path.join(HOMEPATH, 'PyInstaller', 'loader')
# On some platforms (Windows... | utils: remove compile_py_files helper
The only remaining use is in `PYZ.__init__`, and that can be
replaced with a loop that uses the new `compile_pymodule` helper.
This change, however, requires `get_boostrap_modules()` helper
from `PyInstaller.depend˙ to return paths to source `.py`
files instead of non-existing `.... | get_bootstrap_modules | 83193a1897232e133966d15e30758a149de50407 | pyinstaller | analysis.py | 15 | 20 | https://github.com/pyinstaller/pyinstaller.git | 4 | 216 | 0 | 116 | 372 | Python | {
"docstring": "\n Get TOC with the bootstrapping modules and their dependencies.\n :return: TOC with modules\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 13,
"vocab_size": 10
} | def get_bootstrap_modules():
# Import 'struct' modules to get real paths to module file names.
mod_struct = __import__('struct')
# Basic modules necessary for the bootstrap process.
loader_mods = TOC()
loaderpath = os.path.join(HOMEPATH, 'PyInstaller', 'loader')
# On some platforms (Windows... | |
50,544 | 203,823 | 147 | django/contrib/gis/db/backends/postgis/adapter.py | 41 | 7 | def getquoted(self):
| Refs #33476 -- Reformatted code with Black. | getquoted | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | adapter.py | 12 | 8 | https://github.com/django/django.git | 3 | 48 | 0 | 36 | 81 | Python | {
"docstring": "\n Return a properly quoted string for use in PostgreSQL/PostGIS.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | def getquoted(self):
if self.is_geometry:
# Psycopg will figure out whether to use E'\\000' or '\000'.
return b"%s(%s)" % (
b"ST_GeogFromWKB" if self.geography else b"ST_GeomFromEWKB",
self._adapter.getquoted(),
)
else:
... | |
20,112 | 100,650 | 331 | scripts/extract.py | 90 | 21 | def _set_skip_list(self) -> None:
if self._skip_num == 1 and not self._alignments.data:
logger.debug("No frames to be skipped")
return
skip_list = []
for idx, filename in enumerate(self._images.file_list):
if idx % self._skip_num != 0:
... | bugfix: extract - stop progress bar from going over max value | _set_skip_list | 0d23714875f81ddabdbe8f4e40bef6e5f29eeb19 | faceswap | extract.py | 13 | 25 | https://github.com/deepfakes/faceswap.git | 7 | 142 | 0 | 66 | 236 | Python | {
"docstring": " Add the skip list to the image loader\n\n Checks against `extract_every_n` and the existence of alignments data (can exist if\n `skip_existing` or `skip_existing_faces` has been provided) and compiles a list of frame\n indices that should not be processed, providing these to :cla... | def _set_skip_list(self) -> None:
if self._skip_num == 1 and not self._alignments.data:
logger.debug("No frames to be skipped")
return
skip_list = []
for idx, filename in enumerate(self._images.file_list):
if idx % self._skip_num != 0:
... | |
11,947 | 59,781 | 61 | tests/conftest.py | 20 | 12 | def caplog(caplog):
config = setup_logging()
for name, logg | Update logging setup to support incremental configuration (#7569) | caplog | 8ac2498a0203d3ccb9070d30d7b3a0c475afab92 | prefect | conftest.py | 12 | 7 | https://github.com/PrefectHQ/prefect.git | 3 | 54 | 0 | 19 | 94 | Python | {
"docstring": "\n Overrides caplog to apply to all of our loggers that do not propagate and\n consequently would not be captured by caplog.\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 21,
"vocab_size": 19
} | def caplog(caplog):
config = setup_logging()
for name, logger_config in config["loggers"].items():
if not logger_config.get("propagate", True):
logger = get_logger(name)
logger.handlers.append(caplog.handler)
yield caplog
| |
20,685 | 101,266 | 413 | tools/manual/faceviewer/viewport.py | 57 | 34 | def _show_mesh(self, mesh_ids, face_index, detected_face, top_left):
state = "normal" if (self._tk_vars["selected_editor"].get() != "Mask" or
self._optional_annotations["mesh"]) else "hidden"
kwargs = dict(polygon=dict(fill="", width=2, outline=self._canvas.control_... | 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 | _show_mesh | 5e73437be47f2410439a3c6716de96354e6a0c94 | faceswap | viewport.py | 16 | 17 | https://github.com/deepfakes/faceswap.git | 6 | 212 | 0 | 49 | 340 | Python | {
"docstring": " Display the mesh annotation for the given face, at the given location.\n\n Parameters\n ----------\n mesh_ids: dict\n Dictionary containing the `polygon` and `line` tkinter canvas identifiers that make up\n the mesh for the given face\n face_index: in... | def _show_mesh(self, mesh_ids, face_index, detected_face, top_left):
state = "normal" if (self._tk_vars["selected_editor"].get() != "Mask" or
self._optional_annotations["mesh"]) else "hidden"
kwargs = dict(polygon=dict(fill="", width=2, outline=self._canvas.control_... | |
33,279 | 144,666 | 1,143 | python/ray/serve/deployment_state.py | 248 | 30 | def _get_curr_status(self) -> Tuple[DeploymentStatusInfo, bool]:
# TODO(edoakes): we could make this more efficient in steady-state by
# having a "healthy" flag that gets flipped if an update or replica
# failure happens.
target_version = self._target_version
target_rep... | [serve] Introduce DeploymentStatus, poll for statuses instead of using async goals (#22121) | _get_curr_status | 48adb6f7bb335b28fb0fb0d1190bd6c5dfc8ddfa | ray | deployment_state.py | 18 | 66 | https://github.com/ray-project/ray.git | 8 | 216 | 0 | 151 | 356 | Python | {
"docstring": "Get the current deployment status.\n\n Checks the difference between the target vs. running replica count for\n the target version.\n\n TODO(edoakes): we should report the status as FAILED if replicas are\n repeatedly failing health checks. Need a reasonable heuristic here.... | def _get_curr_status(self) -> Tuple[DeploymentStatusInfo, bool]:
# TODO(edoakes): we could make this more efficient in steady-state by
# having a "healthy" flag that gets flipped if an update or replica
# failure happens.
target_version = self._target_version
target_rep... | |
118,325 | 322,996 | 63 | examples/model_interpretation/task/transformer.py | 12 | 11 | def generate_square_subsequent_mask(self, length):
return paddle.tensor.triu(
(paddle.ones(
(lengt | Add NLP model interpretation (#1752)
* upload NLP interpretation
* fix problems and relocate project
* remove abandoned picture
* remove abandoned picture
* fix dead link in README
* fix dead link in README
* fix code style problems
* fix CR round 1
* remove .gitkeep files
* fix code style
... | generate_square_subsequent_mask | 93cae49c0c572b5c1ac972759140fbe924b0374d | PaddleNLP | transformer.py | 14 | 5 | https://github.com/PaddlePaddle/PaddleNLP.git | 1 | 43 | 0 | 12 | 67 | Python | {
"docstring": "\n Generate a square mask for the sequence. The mask ensures that the\n predictions for position i can depend only on the known outputs at\n positions less than i.\n\n Parameters:\n length (int|Tensor): The length of sequence.\n\n Returns:\n Ten... | def generate_square_subsequent_mask(self, length):
return paddle.tensor.triu(
(paddle.ones(
(length, length), dtype=paddle.get_default_dtype()) * -np.inf),
1)
| |
12,265 | 60,728 | 118 | .venv/lib/python3.8/site-packages/pip/_internal/index/package_finder.py | 37 | 15 | def find_requirement(self, req, upgrade):
# type: (InstallRequirement, bool) -> Optional[InstallationCandidate]
hashes = req.hashes(trust_internet=False)
best_candidate_result = self.find_best_candidate(
req.name, specifier=req.specifier, hashes=hashes,
)
bes... | upd; format | find_requirement | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | package_finder.py | 12 | 55 | https://github.com/jindongwang/transferlearning.git | 11 | 214 | 0 | 30 | 106 | Python | {
"docstring": "Try to find a Link matching req\n\n Expects req, an InstallRequirement and upgrade, a boolean\n Returns a InstallationCandidate if found,\n Raises DistributionNotFound or BestVersionAlreadyInstalled otherwise\n ",
"language": "en",
"n_whitespaces": 53,
"n_words": 25,
... | def find_requirement(self, req, upgrade):
# type: (InstallRequirement, bool) -> Optional[InstallationCandidate]
hashes = req.hashes(trust_internet=False)
best_candidate_result = self.find_best_candidate(
req.name, specifier=req.specifier, hashes=hashes,
)
bes... | |
3,317 | 20,307 | 54 | pipenv/patched/notpip/_vendor/pygments/formatters/html.py | 11 | 8 | def wrap(self, source, outfile):
if s | 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... | wrap | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | pipenv | html.py | 13 | 5 | https://github.com/pypa/pipenv.git | 2 | 46 | 0 | 10 | 75 | Python | {
"docstring": "\n Wrap the ``source``, which is a generator yielding\n individual lines, in custom generators. See docstring\n for `format`. Can be overridden.\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 20,
"vocab_size": 20
} | def wrap(self, source, outfile):
if self.wrapcode:
return self._wrap_div(self._wrap_pre(self._wrap_code(source)))
else:
return self._wrap_div(self._wrap_pre(source))
| |
@frappe.whitelist() | 14,035 | 65,846 | 6 | erpnext/education/api.py | 14 | 8 | def get_assessment_criteria(course):
return frappe.get_all(
"Course Assessment Criteria",
fields=["assessment_criteria", "weightage"],
filt | style: format code with black | get_assessment_criteria | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | api.py | 11 | 7 | https://github.com/frappe/erpnext.git | 1 | 34 | 1 | 14 | 72 | Python | {
"docstring": "Returns Assessmemt Criteria and their Weightage from Course Master.\n\n\t:param Course: Course\n\t",
"language": "en",
"n_whitespaces": 10,
"n_words": 12,
"vocab_size": 11
} | def get_assessment_criteria(course):
return frappe.get_all(
"Course Assessment Criteria",
fields=["assessment_criteria", "weightage"],
filters={"parent": course},
order_by="idx",
)
@frappe.whitelist() |
54,316 | 216,002 | 379 | salt/modules/mount.py | 93 | 33 | def rm_filesystems(name, device, config="/etc/filesystems"):
modified = False
view_lines = []
if "AIX" not in __grains__["kernel"]:
return modified
criteria = _FileSystemsEntry(name=name, dev=device)
try:
fsys_filedict = _filesystems(config, False)
for fsys_view in fsy... | Convert Py 2'isms to Python 3, and add tests for set_filesystems on AIX | rm_filesystems | 9354c15e0818715d055242d14b1308643a6918d7 | salt | mount.py | 19 | 30 | https://github.com/saltstack/salt.git | 10 | 194 | 0 | 59 | 327 | Python | {
"docstring": "\n .. versionadded:: 2018.3.3\n\n Remove the mount point from the filesystems\n\n CLI Example:\n\n .. code-block:: bash\n\n salt '*' mount.rm_filesystems /mnt/foo /dev/sdg\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 20,
"vocab_size": 18
} | def rm_filesystems(name, device, config="/etc/filesystems"):
modified = False
view_lines = []
if "AIX" not in __grains__["kernel"]:
return modified
criteria = _FileSystemsEntry(name=name, dev=device)
try:
fsys_filedict = _filesystems(config, False)
for fsys_view in fsy... | |
42,004 | 176,622 | 87 | networkx/generators/classic.py | 29 | 14 | def complete_graph(n, create_using=None):
_, nodes = n
G = empty_graph(nodes, create_using)
if len(nodes) > 1:
if G.is_directed():
edges = itertools.permutations(nodes, 2)
else:
edges = itertools.combinations(nodes, 2)
G.add_edges_from(edges)
return G... | Adjust the usage of nodes_or_number decorator (#5599)
* recorrect typo in decorators.py
* Update tests to show troubles in current code
* fix troubles with usage of nodes_or_number
* fix typo
* remove nodes_or_number where that makes sense
* Reinclude nodes_or_numbers and add some tests for nonstandard ... | complete_graph | de1d00f20e0bc14f1cc911b3486e50225a8fa168 | networkx | classic.py | 13 | 10 | https://github.com/networkx/networkx.git | 3 | 68 | 0 | 22 | 110 | Python | {
"docstring": "Return the complete graph `K_n` with n nodes.\n\n A complete graph on `n` nodes means that all pairs\n of distinct nodes have an edge connecting them.\n\n Parameters\n ----------\n n : int or iterable container of nodes\n If n is an integer, nodes are from range(n).\n If n... | def complete_graph(n, create_using=None):
_, nodes = n
G = empty_graph(nodes, create_using)
if len(nodes) > 1:
if G.is_directed():
edges = itertools.permutations(nodes, 2)
else:
edges = itertools.combinations(nodes, 2)
G.add_edges_from(edges)
return G... | |
76,967 | 261,735 | 89 | sklearn/pipeline.py | 29 | 16 | def fit_predict(self, X, y=None, **fit_params):
self._validate_params()
fit_params_steps = self._check_fit_params(**fit_params)
Xt = self._fit(X, y, **fit_params_steps)
fit_params_last_step = fit_params_steps[self.steps[-1][0]]
with _print_elapsed_time("Pipeline", self.... | MAINT validate parameters of Pipeline (#25133) | fit_predict | 754bd5245aa46b89a1d686a3326c2b853012ff3e | scikit-learn | pipeline.py | 15 | 8 | https://github.com/scikit-learn/scikit-learn.git | 1 | 101 | 0 | 24 | 159 | Python | {
"docstring": "Transform the data, and apply `fit_predict` with the final estimator.\n\n Call `fit_transform` of each transformer in the pipeline. The\n transformed data are finally passed to the final estimator that calls\n `fit_predict` method. Only valid if the final estimator implements\n ... | def fit_predict(self, X, y=None, **fit_params):
self._validate_params()
fit_params_steps = self._check_fit_params(**fit_params)
Xt = self._fit(X, y, **fit_params_steps)
fit_params_last_step = fit_params_steps[self.steps[-1][0]]
with _print_elapsed_time("Pipeline", self.... | |
@pytest.mark.issue(5918)
@pytest.mark.parametrize("entity_ruler_factory", ENTITY_RULERS) | 24,386 | 111,358 | 205 | spacy/tests/pipeline/test_entity_ruler.py | 94 | 27 | def test_issue4849(entity_ruler_factory):
nlp = English()
patterns = [
{"label": "PERSON", "pattern": "joe biden", "id": "joe-biden"},
{"label": "PERSON", "pattern": "bernie sanders", "id": "bernie-sanders"},
]
ruler = nlp.add_pipe(
entity_ruler_factory,
name="entity_rule... | 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... | test_issue4849 | a322d6d5f2f85c2da6cded4fcd6143d41b5a9e96 | spaCy | test_entity_ruler.py | 16 | 25 | https://github.com/explosion/spaCy.git | 8 | 166 | 1 | 56 | 313 | Python | {
"docstring": "\n The left is starting to take aim at Democratic front-runner Joe Biden.\n Sen. Bernie Sanders joined in her criticism: \"There is no 'middle ground' when it comes to climate policy.\"\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 30,
"vocab_size": 28
} | def test_issue4849(entity_ruler_factory):
nlp = English()
patterns = [
{"label": "PERSON", "pattern": "joe biden", "id": "joe-biden"},
{"label": "PERSON", "pattern": "bernie sanders", "id": "bernie-sanders"},
]
ruler = nlp.add_pipe(
entity_ruler_factory,
name="entity_rule... |
77,757 | 264,576 | 93 | netbox/netbox/api/viewsets/__init__.py | 17 | 14 | def get_serializer_context(self):
context = super().get_serializer_context()
if hasattr(self.queryset.model, 'custom_fields'):
content_type = ContentType.objects.get_for_model(self.queryset.model)
context.update({
'custom_fields': content_type.custom_fie... | Move CustomFieldModelViewSet functionality into NetBoxModelViewSet | get_serializer_context | bbdeae0ed9bcc06fb96ffa2970272e1a3447448c | netbox | __init__.py | 14 | 8 | https://github.com/netbox-community/netbox.git | 2 | 60 | 0 | 15 | 103 | Python | {
"docstring": "\n For models which support custom fields, populate the `custom_fields` context.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
} | def get_serializer_context(self):
context = super().get_serializer_context()
if hasattr(self.queryset.model, 'custom_fields'):
content_type = ContentType.objects.get_for_model(self.queryset.model)
context.update({
'custom_fields': content_type.custom_fie... | |
56,885 | 223,398 | 87 | python3.10.4/Lib/distutils/util.py | 36 | 9 | def execute (func, args, msg=None, verbose=0, dry_run=0):
if msg is None:
msg = "%s%r" % (func.__name__, args)
if msg[-2:] == ',)': # correct for singleton tuple
msg = msg[0:-2] + ')'
log.info(msg)
if not dry_run:
| add python 3.10.4 for windows | execute | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | util.py | 14 | 8 | https://github.com/XX-net/XX-Net.git | 4 | 72 | 0 | 31 | 120 | Python | {
"docstring": "Perform some action that affects the outside world (eg. by\n writing to the filesystem). Such actions are special because they\n are disabled by the 'dry_run' flag. This method takes care of all\n that bureaucracy for you; all you have to do is supply the\n function to call and an argum... | def execute (func, args, msg=None, verbose=0, dry_run=0):
if msg is None:
msg = "%s%r" % (func.__name__, args)
if msg[-2:] == ',)': # correct for singleton tuple
msg = msg[0:-2] + ')'
log.info(msg)
if not dry_run:
func(*args)
| |
80,946 | 272,035 | 462 | keras/feature_column/dense_features.py | 74 | 28 | def call(self, features, cols_to_output_tensors=None, training=None):
if training is None:
training = backend.learning_phase()
if not isinstance(features, dict):
raise ValueError(
"We expected a dictionary here. Instead we got: ", features
)
... | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | call | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | dense_features.py | 16 | 28 | https://github.com/keras-team/keras.git | 6 | 148 | 0 | 55 | 233 | Python | {
"docstring": "Returns a dense tensor corresponding to the `feature_columns`.\n\n Example usage:\n\n >>> t1 = tf.feature_column.embedding_column(\n ... tf.feature_column.categorical_column_with_hash_bucket(\"t1\", 2),\n ... dimension=8)\n >>> t2 = tf.feature_column.numeric_co... | def call(self, features, cols_to_output_tensors=None, training=None):
if training is None:
training = backend.learning_phase()
if not isinstance(features, dict):
raise ValueError(
"We expected a dictionary here. Instead we got: ", features
)
... | |
40,053 | 167,600 | 49 | pandas/compat/pickle_compat.py | 16 | 6 | def patch_pickle() -> Iterator[None]:
orig_loads = pkl.loads
try:
setattr(pkl, "loads", loads)
yield
finally:
setattr(pkl, "loads", orig_loads)
| TYP: misc return type annotations (#47558) | patch_pickle | f538568afc2c76c2d738d32e3544cf9fe6742960 | pandas | pickle_compat.py | 11 | 10 | https://github.com/pandas-dev/pandas.git | 2 | 36 | 0 | 14 | 64 | Python | {
"docstring": "\n Temporarily patch pickle to use our unpickler.\n ",
"language": "en",
"n_whitespaces": 14,
"n_words": 7,
"vocab_size": 7
} | def patch_pickle() -> Iterator[None]:
orig_loads = pkl.loads
try:
setattr(pkl, "loads", loads)
yield
finally:
setattr(pkl, "loads", orig_loads)
| |
8,995 | 46,791 | 100 | dev/breeze/src/airflow_breeze/utils/run_utils.py | 35 | 9 | def get_filesystem_type(filepath):
# We import it locally so that click autocomplete wor | Prepare Breeze2 for prime time :) (#22713)
This is a review and clean-up for all the parameters and
commands for Breeze2 in order to prepare it for being
used by the contribugors.
There are various small fixes here and there, removal
of duplicated code, refactoring and moving code around
as well as cleanup and ... | get_filesystem_type | 4ffd4f09532fceb67675fce4c1f5cd383eff992e | airflow | run_utils.py | 11 | 10 | https://github.com/apache/airflow.git | 4 | 49 | 0 | 28 | 87 | Python | {
"docstring": "\n Determine the type of filesystem used - we might want to use different parameters if tmpfs is used.\n :param filepath: path to check\n :return: type of filesystem\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 27,
"vocab_size": 23
} | def get_filesystem_type(filepath):
# We import it locally so that click autocomplete works
import psutil
root_type = "unknown"
for part in psutil.disk_partitions():
if part.mountpoint == '/':
root_type = part.fstype
continue
if filepath.startswith(part.mount... | |
41,928 | 176,480 | 447 | networkx/algorithms/similarity.py | 240 | 56 | def panther_similarity(G, source, k=5, path_length=5, c=0.5, delta=0.1, eps=None):
r
import numpy as np
num_nodes = G.number_of_nodes()
if num_nodes < k:
warnings.warn(
f"Number of nodes is {num_nodes}, but requested k is {k}. "
"Setting k to number of nodes."
)
... | Update black (#5438)
* CI: sync up black dev requirements version with precommit
* Run black
Co-authored-by: Jarrod Millman <jarrod.millman@gmail.com> | panther_similarity | f6755ffa00211b523c6c0bec5398bc6c3c43c8b1 | networkx | similarity.py | 14 | 79 | https://github.com/networkx/networkx.git | 5 | 300 | 0 | 164 | 479 | Python | {
"docstring": "Returns the Panther similarity of nodes in the graph `G` to node ``v``.\n\n Panther is a similarity metric that says \"two objects are considered\n to be similar if they frequently appear on the same paths.\" [1]_.\n\n Parameters\n ----------\n G : NetworkX graph\n A NetworkX gra... | def panther_similarity(G, source, k=5, path_length=5, c=0.5, delta=0.1, eps=None):
r
import numpy as np
num_nodes = G.number_of_nodes()
if num_nodes < k:
warnings.warn(
f"Number of nodes is {num_nodes}, but requested k is {k}. "
"Setting k to number of nodes."
)
... | |
77,103 | 262,017 | 72 | TTS/tts/utils/text/phonemizers/base.py | 22 | 10 | def _phonemize_preprocess(self, text) -> Tuple[List[str], List]:
text = text.strip()
if self._keep_puncs:
# a tuple (text, punctuation marks)
return self._punctuator.strip_to_restore(text)
return [self._punctuator.strip(text)], []
| Fix BasePhonemizer | _phonemize_preprocess | ff7c3858389ba250f761d76592cb060ac6be05c0 | TTS | base.py | 10 | 12 | https://github.com/coqui-ai/TTS.git | 2 | 53 | 0 | 21 | 85 | Python | {
"docstring": "Preprocess the text before phonemization\n\n 1. remove spaces\n 2. remove punctuation\n\n Override this if you need a different behaviour\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 19,
"vocab_size": 18
} | def _phonemize_preprocess(self, text) -> Tuple[List[str], List]:
text = text.strip()
if self._keep_puncs:
# a tuple (text, punctuation marks)
return self._punctuator.strip_to_restore(text)
return [self._punctuator.strip(text)], []
| |
24,448 | 111,596 | 21 | spacy/cli/_util.py | 11 | 5 | def ensure_pathy(path):
from pathy import Pathy # noqa: F811
return Pathy.fluid(path)
| Support local filesystem remotes for projects (#11762)
* Support local filesystem remotes for projects
* Fix support for local filesystem remotes for projects
* Use `FluidPath` instead of `Pathy` to support both filesystem and
remote paths
* Create missing parent directories if required for local filesys... | ensure_pathy | 1ebe7db07c8dbb1a55dafb09131b1d08242b79c5 | spaCy | _util.py | 7 | 3 | https://github.com/explosion/spaCy.git | 1 | 17 | 0 | 11 | 32 | Python | {
"docstring": "Temporary helper to prevent importing Pathy globally (which can cause\n slow and annoying Google Cloud warning).",
"language": "en",
"n_whitespaces": 18,
"n_words": 16,
"vocab_size": 16
} | def ensure_pathy(path):
from pathy import Pathy # noqa: F811
return Pathy.fluid(path)
| |
50,400 | 203,480 | 147 | django/contrib/admin/sites.py | 32 | 13 | def index(self, request, extra_context=None):
app_list = self.get_app_list(request)
context = {
**self.each_context(request),
"title": self.index_title,
"subtitle": None,
"app_list": app_list,
**(extra_context or {}),
}
... | Refs #33476 -- Reformatted code with Black. | index | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | sites.py | 11 | 13 | https://github.com/django/django.git | 3 | 74 | 0 | 27 | 119 | Python | {
"docstring": "\n Display the main admin index page, which lists all of the installed\n apps that have been registered in this site.\n ",
"language": "en",
"n_whitespaces": 42,
"n_words": 20,
"vocab_size": 19
} | def index(self, request, extra_context=None):
app_list = self.get_app_list(request)
context = {
**self.each_context(request),
"title": self.index_title,
"subtitle": None,
"app_list": app_list,
**(extra_context or {}),
}
... | |
72,022 | 247,955 | 858 | docker/start.py | 279 | 39 | def generate_config_from_template(config_dir, config_path, environ, ownership):
for v in ("SYNAPSE_SERVER_NAME", "SYNAPSE_REPORT_STATS"):
if v not in environ:
error(
"Environment variable '%s' is mandatory when generating a config file."
% (v,)
)
... | Poetry: use locked environment in Docker images (#12385) | generate_config_from_template | 3a7e97c7ade17a47517aadc0e9e305a1894119ac | synapse | start.py | 19 | 63 | https://github.com/matrix-org/synapse.git | 12 | 375 | 0 | 174 | 674 | Python | {
"docstring": "Generate a homeserver.yaml from environment variables\n\n Args:\n config_dir (str): where to put generated config files\n config_path (str): where to put the main config file\n environ (dict): environment dictionary\n ownership (str|None): \"<user>:<group>\" string which... | def generate_config_from_template(config_dir, config_path, environ, ownership):
for v in ("SYNAPSE_SERVER_NAME", "SYNAPSE_REPORT_STATS"):
if v not in environ:
error(
"Environment variable '%s' is mandatory when generating a config file."
% (v,)
)
... | |
27,173 | 122,389 | 40 | jax/_src/api_util.py | 29 | 16 | def donation_vector(donate_argnums, args, kwargs) -> Tuple[bool, ...]:
res: List[bool] = []
for i, arg in enumerate(args):
donate = bool(i in donate_argnums)
res.extend((donate,) * tree_structur | Annotate tree_util | donation_vector | b742b04380ebe2e824403e603924ca505173bf7a | jax | api_util.py | 13 | 8 | https://github.com/google/jax.git | 2 | 81 | 0 | 26 | 126 | Python | {
"docstring": "Returns a tuple with a boolean value for each leaf in args.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | def donation_vector(donate_argnums, args, kwargs) -> Tuple[bool, ...]:
res: List[bool] = []
for i, arg in enumerate(args):
donate = bool(i in donate_argnums)
res.extend((donate,) * tree_structure(arg).num_leaves)
res.extend((False,) * tree_structure(kwargs).num_leaves)
return tuple(res)
| |
56,024 | 220,514 | 160 | python3.10.4/Lib/asyncio/futures.py | 44 | 15 | def set_exception(self, exception):
if self._state != _PENDING:
raise exceptions.InvalidStateError(f'{self._state}: {self!r}')
if isinstance(exception, type):
exception = exception()
if type(exception) is StopIteration:
raise TypeError("StopIteration ... | add python 3.10.4 for windows | set_exception | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | futures.py | 12 | 12 | https://github.com/XX-net/XX-Net.git | 4 | 70 | 0 | 36 | 132 | Python | {
"docstring": "Mark the future done and set an exception.\n\n If the future is already done when this method is called, raises\n InvalidStateError.\n ",
"language": "en",
"n_whitespaces": 42,
"n_words": 21,
"vocab_size": 17
} | def set_exception(self, exception):
if self._state != _PENDING:
raise exceptions.InvalidStateError(f'{self._state}: {self!r}')
if isinstance(exception, type):
exception = exception()
if type(exception) is StopIteration:
raise TypeError("StopIteration ... | |
50,606 | 204,002 | 369 | django/contrib/gis/gdal/raster/band.py | 98 | 24 | def statistics(self, refresh=False, approximate=False):
# Prepare array with arguments for capi function
smin, smax | Refs #33476 -- Reformatted code with Black. | statistics | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | band.py | 12 | 25 | https://github.com/django/django.git | 4 | 156 | 0 | 77 | 241 | Python | {
"docstring": "\n Compute statistics on the pixel values of this band.\n\n The return value is a tuple with the following structure:\n (minimum, maximum, mean, standard deviation).\n\n If approximate=True, the statistics may be computed based on overviews\n or a subset of image til... | def statistics(self, refresh=False, approximate=False):
# Prepare array with arguments for capi function
smin, smax, smean, sstd = c_double(), c_double(), c_double(), c_double()
stats_args = [
self._ptr,
c_int(approximate),
byref(smin),
by... | |
71,179 | 246,367 | 387 | tests/storage/databases/test_state_store.py | 116 | 22 | def test_smaller_request_deduplicated(self) -> None:
req1 = ensureDeferred(
self.state_datastore._get_state_for_group_using_inflight_cache(
42, StateFilter.from_types((("test.type", None),))
)
)
self.pump(by=0.1)
# This should have gone t... | Add more tests for in-flight state query duplication. (#12033) | test_smaller_request_deduplicated | 546b9c9e648f5e2b25bb7c8350570787ff9befae | synapse | test_state_store.py | 15 | 37 | https://github.com/matrix-org/synapse.git | 1 | 224 | 0 | 80 | 363 | Python | {
"docstring": "\n Tests that duplicate requests for state are deduplicated.\n\n This test:\n - requests some state (state group 42, 'all' state filter)\n - requests a subset of that state, before the first request finishes\n - checks to see that only one database query was made\n ... | def test_smaller_request_deduplicated(self) -> None:
req1 = ensureDeferred(
self.state_datastore._get_state_for_group_using_inflight_cache(
42, StateFilter.from_types((("test.type", None),))
)
)
self.pump(by=0.1)
# This should have gone t... | |
33,038 | 143,733 | 232 | rllib/examples/simulators/sumo/marlenvironment.py | 55 | 20 | def get_observation(self, agent):
speed = 0
distance = self._config["scenari | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | get_observation | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | marlenvironment.py | 15 | 15 | https://github.com/ray-project/ray.git | 4 | 108 | 0 | 40 | 176 | Python | {
"docstring": "\n Returns the observation of a given agent.\n See http://sumo.sourceforge.net/pydoc/traci._simulation.html\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 9,
"vocab_size": 9
} | def get_observation(self, agent):
speed = 0
distance = self._config["scenario_config"]["misc"]["max_distance"]
if agent in self.simulation.veh_subscriptions:
speed = round(
self.simulation.veh_subscriptions[agent][tc.VAR_SPEED] * MS_TO_KMH
)
... | |
23,144 | 108,332 | 197 | lib/matplotlib/colors.py | 51 | 10 | def register(self, name, color_list):
if name in self._BUILTIN_COLOR_SEQUENCES:
raise ValueError(f"{name!r} is a reserved name for a builtin "
"color sequence")
color_list = list(color_list) # force copy and coerce type to list
for color in col... | Add a registry for color sequences
Color sequences are simply lists of colors, that we store by name in
a registry. The registry is modelled similar to the ColormapRegistry
to 1) support immutable builtin color sequences and 2) to return copies
so that one cannot mess with the global definition of the color sequence
t... | register | 0abe0ce2f2748d1d0383154d045da3609a4b871b | matplotlib | colors.py | 14 | 12 | https://github.com/matplotlib/matplotlib.git | 4 | 58 | 0 | 41 | 108 | Python | {
"docstring": "\n Register a new color sequence.\n\n The color sequence registry stores a copy of the given *color_list*, so\n that future changes to the original list do not affect the registered\n color sequence. Think of this as the registry taking a snapshot\n of *color_list* a... | def register(self, name, color_list):
if name in self._BUILTIN_COLOR_SEQUENCES:
raise ValueError(f"{name!r} is a reserved name for a builtin "
"color sequence")
color_list = list(color_list) # force copy and coerce type to list
for color in col... | |
@pytest.mark.parametrize(
"attributes, no_attributes, limit",
[
({"attr": True}, False, 5000),
({}, True, 5000),
({"attr": True}, False, 3),
({}, True, 3),
],
) | 92,957 | 293,911 | 362 | tests/components/recorder/test_history.py | 145 | 28 | def test_get_states_no_attributes(hass_recorder):
hass = hass_recorder()
now, future, states = _setup_get_states(hass)
for state in states:
state.attributes = {}
# Get states returns everything before POINT for all entities
for state1, state2 in zip(
states,
sorted(
... | Avoid selecting attributes in the history api when `no_attributes` is passed (#68352) | test_get_states_no_attributes | 816695cc96c19110ccda10431d92160ea6064d32 | core | test_history.py | 12 | 31 | https://github.com/home-assistant/core.git | 5 | 199 | 1 | 85 | 381 | Python | {
"docstring": "Test getting states without attributes at a specific point in time.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | def test_get_states_no_attributes(hass_recorder):
hass = hass_recorder()
now, future, states = _setup_get_states(hass)
for state in states:
state.attributes = {}
# Get states returns everything before POINT for all entities
for state1, state2 in zip(
states,
sorted(
... |
56,203 | 221,098 | 63 | python3.10.4/Lib/bdb.py | 24 | 6 | def set_until(self, frame, lineno=None):
# the name "until" is borrowed from gdb
if lineno is None:
lineno = frame.f_lineno + 1
self._set_stopinfo(frame, frame, lineno)
| add python 3.10.4 for windows | set_until | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | bdb.py | 10 | 4 | https://github.com/XX-net/XX-Net.git | 2 | 34 | 0 | 21 | 54 | Python | {
"docstring": "Stop when the line with the lineno greater than the current one is\n reached or when returning from current frame.",
"language": "en",
"n_whitespaces": 26,
"n_words": 20,
"vocab_size": 16
} | def set_until(self, frame, lineno=None):
# the name "until" is borrowed from gdb
if lineno is None:
lineno = frame.f_lineno + 1
self._set_stopinfo(frame, frame, lineno)
| |
89,205 | 290,079 | 43 | homeassistant/components/rest/switch.py | 15 | 13 | async def get_device_state(self, hass):
websession = async_get_clientsession(hass, self._verify_ssl)
rendered_headers = template.render_complex(self._headers, parse_res | Use _attr_is_on in rest (#81305) | get_device_state | fee3898f648d4fffdf9dbec748aab2410a0bd227 | core | switch.py | 9 | 31 | https://github.com/home-assistant/core.git | 6 | 180 | 0 | 13 | 68 | Python | {
"docstring": "Get the latest data from REST API and update the state.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | async def get_device_state(self, hass):
websession = async_get_clientsession(hass, self._verify_ssl)
rendered_headers = template.render_complex(self._headers, parse_result=False)
rendered_params = template.render_complex(self._params)
| |
29,525 | 131,429 | 75 | python/ray/tests/test_client_reconnect.py | 15 | 14 | def reset_channel(self) -> None:
if self.channel:
self. | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | reset_channel | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | test_client_reconnect.py | 10 | 12 | https://github.com/ray-project/ray.git | 2 | 74 | 0 | 15 | 121 | Python | {
"docstring": "\n Manually close and reopen the channel to the real ray server. This\n simulates a disconnection between the client and the server.\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 21,
"vocab_size": 16
} | def reset_channel(self) -> None:
if self.channel:
self.channel.close()
self.channel = grpc.insecure_channel(self.real_addr, options=GRPC_OPTIONS)
grpc.channel_ready_future(self.channel)
self.task_servicer.set_channel(self.channel)
self.data_servicer.set_chann... | |
117,805 | 321,575 | 221 | tests/end2end/fixtures/quteprocess.py | 78 | 15 | def wait_scroll_pos_changed(self, x=None, y=None):
__tracebackhide__ = (lambda e:
e.errisinstance(testprocess.WaitForTimeout))
if (x is None and y is not None) or (y is None and x is not None):
raise ValueError("Either both x/y or neither must be given!"... | qt6 tests: Fix remaining PyQt5 references | wait_scroll_pos_changed | deb21acdebd77c6dc6d5fe4d8cad75e4ca074138 | qutebrowser | quteprocess.py | 12 | 13 | https://github.com/qutebrowser/qutebrowser.git | 9 | 107 | 0 | 54 | 184 | Python | {
"docstring": "Wait until a \"Scroll position changed\" message was found.\n\n With QtWebEngine, on older Qt versions which lack\n QWebEnginePage.scrollPositionChanged, this also skips the test.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 23,
"vocab_size": 23
} | def wait_scroll_pos_changed(self, x=None, y=None):
__tracebackhide__ = (lambda e:
e.errisinstance(testprocess.WaitForTimeout))
if (x is None and y is not None) or (y is None and x is not None):
raise ValueError("Either both x/y or neither must be given!"... | |
30,665 | 135,586 | 1,453 | python/ray/data/tests/test_dataset_tfrecords.py | 231 | 40 | def test_write_tfrecords(ray_start_regular_shared, tmp_path):
import tensorflow as tf
# The dataset we will write to a .tfrecords file.
ds = ray.data.from_items(
[
# Row one.
{
"int_item": 1,
"int_list": [2, 2, 3],
"float... | [Datasets] Add writer for TFRecords. (#29448)
This PR enables users to write TFRecords from datasets.
In particular, the master branch already includes an API for reading TFRecords from datasets. Users have requested the ability to write these datasets back to TFRecords. | test_write_tfrecords | 9fab504fe776f96fecf85e12ea006264cbe92f4a | ray | test_dataset_tfrecords.py | 23 | 82 | https://github.com/ray-project/ray.git | 3 | 590 | 0 | 127 | 885 | Python | {
"docstring": "Test that write_tfrecords writes TFRecords correctly.\n\n Test this by writing a Dataset to a TFRecord (function under test),\n reading it back out into a tf.train.Example,\n and checking that the result is analogous to the original Dataset.\n ",
"language": "en",
"n_whitespaces": 48,
... | def test_write_tfrecords(ray_start_regular_shared, tmp_path):
import tensorflow as tf
# The dataset we will write to a .tfrecords file.
ds = ray.data.from_items(
[
# Row one.
{
"int_item": 1,
"int_list": [2, 2, 3],
"float... | |
42,946 | 179,373 | 165 | test/test_processing_utils.py | 38 | 19 | def test_float_conversion_dtype(self):
x = np.a | Format The Codebase
- black formatting
- isort formatting | test_float_conversion_dtype | cc0cff893f9d7d472788adc2510c123967b384fe | gradio | test_processing_utils.py | 14 | 12 | https://github.com/gradio-app/gradio.git | 2 | 87 | 0 | 33 | 137 | Python | {
"docstring": "Test any convertion from a float dtype to an other.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | def test_float_conversion_dtype(self):
x = np.array([-1, 1])
# Test all combinations of dtypes conversions
dtype_combin = np.array(
np.meshgrid(
OutputPreprocessing.float_dtype_list,
OutputPreprocessing.float_dtype_list,
)
... | |
@app.server.websocket("/api/ws") | 5,544 | 30,395 | 61 | spotdl/console/web.py | 35 | 6 | def fix_mime_types():
# Known to be problematic when Visual Studio is installed:
# <https://github.com/tensorflow/tensorboard/issues/3120>
# https://github.com/spotDL/spotify-downloader/issues/1540
mimetypes.add_type("application/javascript", ".js")
# Not known to be problematic, but used by sp... | fix: broken mimetypes #1540 | fix_mime_types | de31601550e5b6b243f7a00b2bc82300f43f2d9d | spotify-downloader | web.py | 8 | 5 | https://github.com/spotDL/spotify-downloader.git | 1 | 37 | 1 | 30 | 97 | Python | {
"docstring": "Fix incorrect entries in the `mimetypes` registry.\n On Windows, the Python standard library's `mimetypes` reads in\n mappings from file extension to MIME type from the Windows\n registry. Other applications can and do write incorrect values\n to this registry, which causes `mimetypes.gues... | def fix_mime_types():
# Known to be problematic when Visual Studio is installed:
# <https://github.com/tensorflow/tensorboard/issues/3120>
# https://github.com/spotDL/spotify-downloader/issues/1540
mimetypes.add_type("application/javascript", ".js")
# Not known to be problematic, but used by sp... |
20,797 | 101,382 | 87 | scripts/convert.py | 26 | 12 | def _get_threads(self) -> MultiThread:
# TODO Check if multiple threads actually speeds anything up
save_queue = queue_manager.get_queue("convert_out")
patch_queue = queue_manager.get_queue("patch")
return MultiThread(self._converter.process, patch_queue, save_queue,
... | 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 | _get_threads | 1022651eb8a7741014f5d2ec7cbfe882120dfa5f | faceswap | convert.py | 9 | 11 | https://github.com/deepfakes/faceswap.git | 1 | 47 | 0 | 25 | 80 | Python | {
"docstring": " Get the threads for patching the converted faces onto the frames.\n\n Returns\n :class:`lib.multithreading.MultiThread`\n The threads that perform the patching of swapped faces onto the output frames\n ",
"language": "en",
"n_whitespaces": 59,
"n_words": 26,
"v... | def _get_threads(self) -> MultiThread:
# TODO Check if multiple threads actually speeds anything up
save_queue = queue_manager.get_queue("convert_out")
patch_queue = queue_manager.get_queue("patch")
return MultiThread(self._converter.process, patch_queue, save_queue,
... | |
56,740 | 222,788 | 51 | python3.10.4/Lib/distutils/command/register.py | 23 | 8 | def verify_metadata(self):
# send the info to the server and report the result
(code, result) = self.post_to_server(self.build_post_da | add python 3.10.4 for windows | verify_metadata | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | register.py | 11 | 3 | https://github.com/XX-net/XX-Net.git | 1 | 33 | 0 | 20 | 58 | Python | {
"docstring": " Send the metadata to the package index server to be checked.\n ",
"language": "en",
"n_whitespaces": 19,
"n_words": 11,
"vocab_size": 9
} | def verify_metadata(self):
# send the info to the server and report the result
(code, result) = self.post_to_server(self.build_post_data('verify'))
log.info('Server response (%s): %s', code, result)
| |
17,668 | 83,381 | 119 | zerver/tests/test_subs.py | 22 | 13 | def test_subscriptions_add_for_principal_invite_only(self) -> None:
invitee = self.example_user("iago")
current_streams = self.get_streams(invitee)
invite_streams = self.make_random_stream_names(current_streams)
self.assert_adding_subscriptions_for_principal(
invitee... | stream_settings: Show stream privacy & description in stream events.
Provide stream privacy and description in stream notification events
when stream is created.
In function "send_messages_for_new_subscribers" for when stream is
created, put policy name and description of the stream.
Fixes #21004 | test_subscriptions_add_for_principal_invite_only | 4b9770e270823b7ed2bbbeda0e4450f0ba6a288b | zulip | test_subs.py | 9 | 14 | https://github.com/zulip/zulip.git | 1 | 55 | 0 | 20 | 90 | Python | {
"docstring": "\n You can subscribe other people to invite only streams.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | def test_subscriptions_add_for_principal_invite_only(self) -> None:
invitee = self.example_user("iago")
current_streams = self.get_streams(invitee)
invite_streams = self.make_random_stream_names(current_streams)
self.assert_adding_subscriptions_for_principal(
invitee... | |
960 | 6,328 | 19 | ludwig/features/feature_utils.py | 10 | 5 | def get_module_dict_key_from_name(name):
key = name.replace(".", "__ludwig_punct_peri | Enable feature names with periods in them. (#1787)
* Enable feature names with periods in them.
* Simplify new unit test. | get_module_dict_key_from_name | c9b6f4dfa32631c320d122ad07f09013769d9d5d | ludwig | feature_utils.py | 9 | 3 | https://github.com/ludwig-ai/ludwig.git | 1 | 20 | 0 | 9 | 38 | Python | {
"docstring": "Returns a key that's guaranteed to be compatible with torch.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | def get_module_dict_key_from_name(name):
key = name.replace(".", "__ludwig_punct_period__")
return key + FEATURE_NAME_SUFFIX
| |
@pytest.mark.parametrize(
"import_strategy, expected_to_fail",
[
pytest.param(
"""
from modin.experimental.core.execution.native.implementations.hdk_on_native.db_worker import DbWorker
import pyarrow.gandiva
""",
True,
id="import_pydbe_first-pyarrow_gandiva_second",
... | 36,121 | 154,641 | 196 | modin/test/storage_formats/hdk/test_internals.py | 41 | 20 | def test_hdk_import(import_strategy, has_other_engines):
remove_other_engines =
if not has_other_engines:
import_strategy = f"{remove_oth | FEAT-#4946: Replace OmniSci with HDK (#4947)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com> | test_hdk_import | e5b1888cd932909e49194d58035da34b210b91c4 | modin | test_internals.py | 12 | 15 | https://github.com/modin-project/modin.git | 3 | 66 | 1 | 34 | 182 | Python | {
"docstring": "\n Test import of HDK engine.\n\n The import of DbWorker requires to set special dlopen flags which make it then\n incompatible to import some other libraries further (like ``pyarrow.gandiva``).\n This test verifies that it's not the case when a user naturally imports Modin\n with HDK e... | def test_hdk_import(import_strategy, has_other_engines):
remove_other_engines =
if not has_other_engines:
import_strategy = f"{remove_other_engines}\n{import_strategy}"
res = subprocess.run(
[sys.executable, "-c", import_strategy],
stderr=subprocess.PIPE,
stdout=subp... |
29,214 | 130,289 | 665 | python/ray/_private/thirdparty/pathspec/util.py | 240 | 33 | def _iter_tree_entries_next(root_full, dir_rel, memo, on_error, follow_links):
dir_full = os.path.join(root_full, dir_rel)
dir_real = os.path.realpath(dir_full)
# Remember each encountered ancestor directory and its canonical
# (real) path. If a canonical path is encountered more than once,
# ... | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | _iter_tree_entries_next | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | util.py | 16 | 38 | https://github.com/ray-project/ray.git | 14 | 249 | 0 | 140 | 396 | Python | {
"docstring": "\n Scan the directory for all descendant files.\n\n *root_full* (:class:`str`) the absolute path to the root directory.\n\n *dir_rel* (:class:`str`) the path to the directory to scan relative to\n *root_full*.\n\n *memo* (:class:`dict`) keeps track of ancestor directories\n encounter... | def _iter_tree_entries_next(root_full, dir_rel, memo, on_error, follow_links):
dir_full = os.path.join(root_full, dir_rel)
dir_real = os.path.realpath(dir_full)
# Remember each encountered ancestor directory and its canonical
# (real) path. If a canonical path is encountered more than once,
# ... | |
47,723 | 196,223 | 318 | sympy/combinatorics/util.py | 88 | 24 | def _remove_gens(base, strong_gens, basic_orbits=None, strong_gens_distr=None):
from sympy.combinatorics.perm_groups import _orbit
base_len = len(base)
degree = strong_gens[0].size
if strong_gens_distr is None:
strong_gens_distr = _distribute_gens_by_base(base, strong_gens)
if basic_orb... | Updated import locations | _remove_gens | 498015021131af4dbb07eb110e5badaba8250c7b | sympy | util.py | 15 | 26 | https://github.com/sympy/sympy.git | 9 | 201 | 0 | 59 | 308 | Python | {
"docstring": "\n Remove redundant generators from a strong generating set.\n\n Parameters\n ==========\n\n ``base`` - a base\n ``strong_gens`` - a strong generating set relative to ``base``\n ``basic_orbits`` - basic orbits\n ``strong_gens_distr`` - strong generators distributed by membership i... | def _remove_gens(base, strong_gens, basic_orbits=None, strong_gens_distr=None):
from sympy.combinatorics.perm_groups import _orbit
base_len = len(base)
degree = strong_gens[0].size
if strong_gens_distr is None:
strong_gens_distr = _distribute_gens_by_base(base, strong_gens)
if basic_orb... | |
50,758 | 204,505 | 64 | django/core/files/uploadedfile.py | 10 | 4 | def from_dict(cls, file_dict):
return cls(
file_dict["filename"],
file_dict["content"],
file_dict.get("con | Refs #33476 -- Reformatted code with Black. | from_dict | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | uploadedfile.py | 10 | 6 | https://github.com/django/django.git | 1 | 31 | 0 | 10 | 54 | Python | {
"docstring": "\n Create a SimpleUploadedFile object from a dictionary with keys:\n - filename\n - content-type\n - content\n ",
"language": "en",
"n_whitespaces": 60,
"n_words": 15,
"vocab_size": 12
} | def from_dict(cls, file_dict):
return cls(
file_dict["filename"],
file_dict["content"],
file_dict.get("content-type", "text/plain"),
)
| |
52,073 | 207,730 | 189 | tests/admin_views/tests.py | 41 | 7 | def test_change_list_sorting_callable(self):
response = self.client.get(
reverse("admin:admin_views_article_changelist"), {"o": 2}
)
self.assertContentBefore | Refs #33476 -- Reformatted code with Black. | test_change_list_sorting_callable | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | tests.py | 11 | 16 | https://github.com/django/django.git | 1 | 51 | 0 | 23 | 92 | Python | {
"docstring": "\n Ensure we can sort on a list_display field that is a callable\n (column 2 is callable_year in ArticleAdmin)\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 16
} | def test_change_list_sorting_callable(self):
response = self.client.get(
reverse("admin:admin_views_article_changelist"), {"o": 2}
)
self.assertContentBefore(
response,
"Oldest content",
"Middle content",
"Results of sorting on... | |
20,789 | 101,374 | 107 | scripts/convert.py | 32 | 16 | def pre_encode(self) -> Optional[Callable[[np.ndarray], List[bytes]]]:
dummy = np.zeros((20, 20, 3), dtype="uint8")
test = self._writer.pre_encode(dummy)
retval: O | 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 | pre_encode | 1022651eb8a7741014f5d2ec7cbfe882120dfa5f | faceswap | convert.py | 11 | 9 | https://github.com/deepfakes/faceswap.git | 2 | 91 | 0 | 27 | 138 | Python | {
"docstring": " python function: Selected writer's pre-encode function, if it has one,\n otherwise ``None`` ",
"language": "en",
"n_whitespaces": 20,
"n_words": 12,
"vocab_size": 12
} | def pre_encode(self) -> Optional[Callable[[np.ndarray], List[bytes]]]:
dummy = np.zeros((20, 20, 3), dtype="uint8")
test = self._writer.pre_encode(dummy)
retval: Optional[Callable[[np.ndarray],
List[bytes]]] = None if test is None else self._writer.pre_... | |
25,459 | 115,431 | 59 | mindsdb/integrations/handlers/sqlite_handler/sqlite_handler.py | 13 | 5 | def disconnect(self):
| added connection_args and connection_args_example dicts | disconnect | fc9776d9b342f873cbb3f36fd39955b9e1ea6f76 | mindsdb | sqlite_handler.py | 8 | 6 | https://github.com/mindsdb/mindsdb.git | 2 | 30 | 0 | 10 | 52 | Python | {
"docstring": "\r\n Close any existing connections.\r\n ",
"language": "en",
"n_whitespaces": 19,
"n_words": 4,
"vocab_size": 4
} | def disconnect(self):
if self.is_connected is False:
return
self.connection.close()
self.is_connected = False
return self.is_connected
| |
30,029 | 133,434 | 196 | python/ray/workflow/step_executor.py | 60 | 27 | def resolve(self) -> Tuple[List, Dict]:
objects_mapping = []
for obj_ref in self.workflow_outputs:
obj, ref = _resolve_object_ref(obj_ref.ref)
objects_mapping.append(o | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | resolve | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | step_executor.py | 11 | 30 | https://github.com/ray-project/ray.git | 4 | 103 | 0 | 49 | 164 | Python | {
"docstring": "\n This function resolves the inputs for the code inside\n a workflow step (works on the callee side). For outputs from other\n workflows, we resolve them into object instances inplace.\n\n For each ObjectRef argument, the function returns both the ObjectRef\n and th... | def resolve(self) -> Tuple[List, Dict]:
objects_mapping = []
for obj_ref in self.workflow_outputs:
obj, ref = _resolve_object_ref(obj_ref.ref)
objects_mapping.append(obj)
workflow_ref_mapping = _resolve_dynamic_workflow_refs(self.workflow_refs)
with ser... | |
80,573 | 270,768 | 35 | keras/engine/base_layer.py | 10 | 6 | def _maybe_create_attribute(self, name, default_value):
| Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | _maybe_create_attribute | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | base_layer.py | 9 | 3 | https://github.com/keras-team/keras.git | 2 | 27 | 0 | 10 | 43 | Python | {
"docstring": "Create the attribute with the default value if it hasn't been created.\n\n This is useful for fields that is used for tracking purpose,\n _trainable_weights, or _layers. Note that user could create a layer subclass\n and assign an internal field before invoking the Layer.__init__(... | def _maybe_create_attribute(self, name, default_value):
if not hasattr(self, name):
self.__setattr__(name, default_value)
| |
42,421 | 177,527 | 283 | networkx/classes/digraph.py | 56 | 17 | def add_nodes_from(self, nodes_for_adding, **attr):
for n in nodes_for_adding:
try:
newnode = n not in self._node
newdict = attr
except Type | doc: update documentation when providing an iterator over current graph to add/remove_edges_from. (#6268)
* doc for add_edges_from
* doc for digraph
* doc for multigraph
* multigraph.add_nodes_from returns keylist
* update docs for graph - edges
* doc update: graph.add_nodes_from
* doc update: graph.... | add_nodes_from | 979d54acba7c3d372c93d44c6c149700608ce8b0 | networkx | digraph.py | 14 | 17 | https://github.com/networkx/networkx.git | 5 | 118 | 0 | 37 | 191 | Python | {
"docstring": "Add multiple nodes.\n\n Parameters\n ----------\n nodes_for_adding : iterable container\n A container of nodes (list, dict, set, etc.).\n OR\n A container of (node, attribute dict) tuples.\n Node attributes are updated using the attribut... | def add_nodes_from(self, nodes_for_adding, **attr):
for n in nodes_for_adding:
try:
newnode = n not in self._node
newdict = attr
except TypeError:
n, ndict = n
newnode = n not in self._node
newdict =... | |
15,860 | 72,246 | 393 | wagtail/admin/tests/test_workflows.py | 153 | 22 | def test_submitted_email_notifications_sent(self):
self.login(self.submitter)
self.submit()
self.assertEqual(len(mail.outbox), 4)
task_submission_emails = [
email for email in mail.outbox if "task" in email.subject
]
task_submission_emailed_addresse... | Reformat with black | test_submitted_email_notifications_sent | d10f15e55806c6944827d801cd9c2d53f5da4186 | wagtail | test_workflows.py | 10 | 26 | https://github.com/wagtail/wagtail.git | 9 | 214 | 0 | 64 | 335 | Python | {
"docstring": "Test that 'submitted' notifications for WorkflowState and TaskState are both sent correctly",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | def test_submitted_email_notifications_sent(self):
self.login(self.submitter)
self.submit()
self.assertEqual(len(mail.outbox), 4)
task_submission_emails = [
email for email in mail.outbox if "task" in email.subject
]
task_submission_emailed_addresse... | |
6,543 | 35,810 | 535 | src/transformers/models/maskformer/modeling_maskformer.py | 229 | 51 | def forward(self, masks_queries_logits, class_queries_logits, mask_labels, class_labels) -> List[Tuple[Tensor]]:
indices: List[Tuple[np.array]] = []
preds_masks = masks_queries_logits
preds_probs = class_queries_logits.softmax(dim=-1)
# downsample all masks in one go -> save me... | Maskformer (#15682)
* maskformer
* conflicts
* conflicts
* minor fixes
* feature extractor test fix
refactor MaskFormerLoss following conversation
MaskFormer related types should not trigger a module time import error
missed one
removed all the types that are not used
update config mapping
... | forward | d83d22f578276e9f201b0b3b0f8f9bd68e86c133 | transformers | modeling_maskformer.py | 12 | 44 | https://github.com/huggingface/transformers.git | 3 | 243 | 0 | 152 | 376 | Python | {
"docstring": "Performs the matching\n\n Params:\n masks_queries_logits (`torch.Tensor`):\n A tensor` of dim `batch_size, num_queries, num_classes` with the\n classification logits.\n class_queries_logits (`torch.Tensor`):\n A tensor` of dim... | def forward(self, masks_queries_logits, class_queries_logits, mask_labels, class_labels) -> List[Tuple[Tensor]]:
indices: List[Tuple[np.array]] = []
preds_masks = masks_queries_logits
preds_probs = class_queries_logits.softmax(dim=-1)
# downsample all masks in one go -> save me... | |
17,245 | 81,681 | 174 | awx/main/models/unified_jobs.py | 58 | 14 | def cancel_dispatcher_process(self):
if not self.celery_task_id:
return
canceled = []
try:
# Use control and reply mechanism to cancel and obtain confirmation
timeout = 5
canceled = ControlDispatcher('dispatcher', self.controller_node).can... | Refactor canceling to work through messaging and signals, not database
If canceled attempted before, still allow attempting another cancel
in this case, attempt to send the sigterm signal again.
Keep clicking, you might help!
Replace other cancel_callbacks with sigterm watcher
adapt special inventory mechanism for ... | cancel_dispatcher_process | c59bbdecdbdd920c5d3d298d691129c6bbc94c5e | awx | unified_jobs.py | 13 | 12 | https://github.com/ansible/awx.git | 4 | 71 | 0 | 49 | 136 | Python | {
"docstring": "Returns True if dispatcher running this job acknowledged request and sent SIGTERM",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | def cancel_dispatcher_process(self):
if not self.celery_task_id:
return
canceled = []
try:
# Use control and reply mechanism to cancel and obtain confirmation
timeout = 5
canceled = ControlDispatcher('dispatcher', self.controller_node).can... | |
36,083 | 154,573 | 61 | modin/experimental/core/execution/native/implementations/hdk_on_native/dataframe/dataframe.py | 18 | 6 | def _mangle_index_names(cls, names):
return [
f"__index__{i | FEAT-#4946: Replace OmniSci with HDK (#4947)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com> | _mangle_index_names | e5b1888cd932909e49194d58035da34b210b91c4 | modin | dataframe.py | 10 | 5 | https://github.com/modin-project/modin.git | 2 | 22 | 0 | 17 | 54 | Python | {
"docstring": "\n Return mangled index names for index labels.\n\n Mangled names are used for index columns because index\n labels cannot always be used as HDK table column\n names. E.e. label can be a non-string value or an\n unallowed string (empty strings, etc.) for a table colu... | def _mangle_index_names(cls, names):
return [
f"__index__{i}_{'__None__' if n is None else n}"
for i, n in enumerate(names)
]
| |
14,444 | 67,221 | 69 | erpnext/regional/report/gstr_1/gstr_1.py | 101 | 21 | def get_b2cs_json(data, gstin):
company_state_number = gstin[0:2]
out = []
for d in data:
if not d.get("place_of_supply"):
frappe.throw(
_(
).format(frappe.bold("Place Of Supply"))
)
pos = d.get("place_of_supply").split("-")[0]
tax_details = {}
rate = d.get("rate", 0)
tax = flt((d["t... | style: format code with black | get_b2cs_json | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | gstr_1.py | 16 | 34 | https://github.com/frappe/erpnext.git | 7 | 291 | 0 | 76 | 495 | Python | {
"docstring": "{0} not entered in some invoices.\n\t\t\t\tPlease update and try again",
"language": "en",
"n_whitespaces": 9,
"n_words": 11,
"vocab_size": 11
} | def get_b2cs_json(data, gstin):
company_state_number = gstin[0:2]
out = []
for d in data:
if not d.get("place_of_supply"):
frappe.throw(
_(
).format(frappe.bold("Place Of Supply"))
)
pos = d.get("place_of_supply").split("-")[0]
tax_details = {}
rate = d.get("rate", 0)
tax = flt((d["t... |
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