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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
@receiver(post_save, sender=Annotation) | 42,524 | 177,853 | 220 | label_studio/tasks/models.py | 67 | 22 | def delete_project_summary_annotations_before_updating_annotation(sender, instance, **kwargs):
try:
old_annotation = sender.objects.get(id=instance.id)
except Annotation.DoesNotExist:
# annotation just created - do nothing
return
old_annotation.decrease_project_summary_counters(... | fix: DEV-2406: Fix counters for skipped annotations (#2364)
* fix: DEV-2406: Fix counters for skipped annotations
* Fixes
Co-authored-by: makseq-ubnt <makseq@gmail.com> | delete_project_summary_annotations_before_updating_annotation | 50583d9ed6bfd2a837d0168e1690529a31efa2f7 | label-studio | models.py | 14 | 20 | https://github.com/heartexlabs/label-studio.git | 4 | 135 | 1 | 44 | 231 | Python | {
"docstring": "Before updating annotation fields - ensure previous info removed from project.summary",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | def delete_project_summary_annotations_before_updating_annotation(sender, instance, **kwargs):
try:
old_annotation = sender.objects.get(id=instance.id)
except Annotation.DoesNotExist:
# annotation just created - do nothing
return
old_annotation.decrease_project_summary_counters(... |
10,250 | 50,991 | 699 | modules/image/keypoint_detection/hand_pose_localization/model.py | 151 | 28 | def load_config(self, modelpath, use_gpu, gpu_id, use_mkldnn, cpu_threads):
# 对运行位置进行配置
if use_gpu:
| update hand_pose_localization (#1967)
* update hand_pose_localization
* add clean func | load_config | 6b42963d62833925ffed1cdb73400e7d528a5353 | PaddleHub | model.py | 16 | 40 | https://github.com/PaddlePaddle/PaddleHub.git | 11 | 291 | 0 | 76 | 496 | Python | {
"docstring": "\r\n load the model config\r\n modelpath: inference model path\r\n use_gpu: use gpu or not\r\n use_mkldnn: use mkldnn or not\r\n Error! Unable to use GPU. Please set the environment variables \"CUDA_VISIBLE_DEVICES=GPU_id\" to use GPU. Now switch to CPU to continue..... | def load_config(self, modelpath, use_gpu, gpu_id, use_mkldnn, cpu_threads):
# 对运行位置进行配置
if use_gpu:
try:
int(os.environ.get('CUDA_VISIBLE_DEVICES'))
except Exception:
print(
)
use_gpu = False
... | |
18,399 | 88,553 | 256 | src/sentry/lang/javascript/processor_smcache.py | 139 | 10 | def trim_line(line, column=0):
line = line.strip("\n")
ll = len(line)
if ll <= 150:
return line
if column > ll:
column = ll
start = max(column - 60, 0)
# Round down if it brings us close to the edge
if start < 5:
start = 0
end = min(start + 140, ll)
# Rou... | feat(processor): Use JavaScriptSmCacheStacktraceProcessor by default for internal projects (#41390)
This PR builds on top of https://github.com/getsentry/sentry/pull/40951/
and prepares us for gradual rollout. | trim_line | 67c8215ba3f246937fd7e1fbb02f33050a1c0456 | sentry | processor_smcache.py | 11 | 21 | https://github.com/getsentry/sentry.git | 8 | 120 | 0 | 68 | 204 | Python | {
"docstring": "\n Trims a line down to a goal of 140 characters, with a little\n wiggle room to be sensible and tries to trim around the given\n `column`. So it tries to extract 60 characters before and after\n the provided `column` and yield a better context.\n ",
"language": "en",
"n_whitespaces... | def trim_line(line, column=0):
line = line.strip("\n")
ll = len(line)
if ll <= 150:
return line
if column > ll:
column = ll
start = max(column - 60, 0)
# Round down if it brings us close to the edge
if start < 5:
start = 0
end = min(start + 140, ll)
# Rou... | |
71,747 | 247,569 | 189 | tests/storage/test_background_update.py | 45 | 17 | def test_background_update_default_batch_set_by_config(self):
self.get_success(
self.store.db_pool.simple_insert(
"background_updates",
values={"update_name": "test_update", "progress_json": '{"my_key": 1}'},
)
)
self.update_hand... | Add config settings for background update parameters (#11980) | test_background_update_default_batch_set_by_config | ef3619e61d84493d98470eb2a69131d15eb1166b | synapse | test_background_update.py | 13 | 15 | https://github.com/matrix-org/synapse.git | 1 | 92 | 0 | 39 | 154 | Python | {
"docstring": "\n Test that the background update is run with the default_batch_size set by the config\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 14,
"vocab_size": 12
} | def test_background_update_default_batch_set_by_config(self):
self.get_success(
self.store.db_pool.simple_insert(
"background_updates",
values={"update_name": "test_update", "progress_json": '{"my_key": 1}'},
)
)
self.update_hand... | |
50,689 | 204,304 | 54 | django/contrib/sessions/backends/file.py | 11 | 9 | def _expiry_date(self, session_data):
return session_data.get("_session_expiry") or (
self._last_modification()
+ datetime.timedelta(seconds=self.get_session_cookie_ag | Refs #33476 -- Reformatted code with Black. | _expiry_date | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | file.py | 13 | 5 | https://github.com/django/django.git | 2 | 36 | 0 | 11 | 62 | Python | {
"docstring": "\n Return the expiry time of the file storing the session's content.\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 11,
"vocab_size": 9
} | def _expiry_date(self, session_data):
return session_data.get("_session_expiry") or (
self._last_modification()
+ datetime.timedelta(seconds=self.get_session_cookie_age())
)
| |
5,973 | 32,709 | 283 | src/transformers/models/trocr/processing_trocr.py | 89 | 15 | def __call__(self, *args, **kwargs):
# For backward compatibility
if self._in_target_context_manager:
return self.current_processor(*args, **kwargs)
images = kwargs.pop("images", None)
text = kwargs.pop("text", None)
if len(args) > 0:
images = ar... | Change audio kwarg to images in TROCR processor (#18421)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> | __call__ | 0b8c1b6994082950044452a670e8417a5ebc2db0 | transformers | processing_trocr.py | 11 | 21 | https://github.com/huggingface/transformers.git | 9 | 147 | 0 | 50 | 240 | Python | {
"docstring": "\n When used in normal mode, this method forwards all its arguments to AutoFeatureExtractor's\n [`~AutoFeatureExtractor.__call__`] and returns its output. If used in the context\n [`~TrOCRProcessor.as_target_processor`] this method forwards all its arguments to TrOCRTokenizer's\n ... | def __call__(self, *args, **kwargs):
# For backward compatibility
if self._in_target_context_manager:
return self.current_processor(*args, **kwargs)
images = kwargs.pop("images", None)
text = kwargs.pop("text", None)
if len(args) > 0:
images = ar... | |
78,158 | 265,638 | 61 | netbox/extras/reports.py | 26 | 8 | def get_report(module_name, report_name):
reports = get_reports()
module = reports.get(module_name)
if module is None:
return None
report = module.get(report_name)
if report is None:
return None
return report
| Allow reports to be nested in submodules | get_report | 356ff457be08d5527920c617eb598f24a6edbc3d | netbox | reports.py | 8 | 9 | https://github.com/netbox-community/netbox.git | 3 | 45 | 0 | 15 | 75 | Python | {
"docstring": "\n Return a specific report from within a module.\n ",
"language": "en",
"n_whitespaces": 15,
"n_words": 8,
"vocab_size": 7
} | def get_report(module_name, report_name):
reports = get_reports()
module = reports.get(module_name)
if module is None:
return None
report = module.get(report_name)
if report is None:
return None
return report
| |
72,159 | 248,221 | 243 | tests/config/test_workers.py | 32 | 12 | def test_worker_duty_configs(self) -> None:
worker1_config = self._make_worker_config(
worker_app="synapse.app.generic_worker",
worker_name="worker1",
extras={
"notify_appservice | Add the `update_user_directory_from_worker` configuration option (superseding `update_user_directory`) to allow a generic worker to be designated as the worker to update the user directory. (#12654)
Co-authored-by: Shay <hillerys@element.io> | test_worker_duty_configs | 699192fc1a1055a4bec2345bc80f120f28470c73 | synapse | test_workers.py | 12 | 24 | https://github.com/matrix-org/synapse.git | 1 | 96 | 0 | 22 | 170 | Python | {
"docstring": "\n Additional tests for the worker duties\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | def test_worker_duty_configs(self) -> None:
worker1_config = self._make_worker_config(
worker_app="synapse.app.generic_worker",
worker_name="worker1",
extras={
"notify_appservices_from_worker": "worker2",
"update_user_directory_from_w... | |
29,383 | 130,818 | 107 | python/ray/runtime_context.py | 38 | 7 | def actor_id(self):
# only worker mode has actor_id
assert (
self.worker.mode == ray.worker. | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | actor_id | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | runtime_context.py | 9 | 7 | https://github.com/ray-project/ray.git | 2 | 41 | 0 | 34 | 78 | Python | {
"docstring": "Get the current actor ID in this worker.\n\n ID of the actor of the current process.\n This shouldn't be used in a driver process.\n\n Returns:\n The current actor id in this worker. None if there's no actor id.\n ",
"language": "en",
"n_whitespaces": 77,
"... | def actor_id(self):
# only worker mode has actor_id
assert (
self.worker.mode == ray.worker.WORKER_MODE
), f"This method is only available when the process is a\
worker. Current mode: {self.worker.mode}"
actor_id = self.worker.actor_id
return... | |
16,032 | 73,502 | 117 | wagtail/contrib/settings/tests/test_admin.py | 28 | 17 | def test_redirect_to_current(self):
start_url = reverse("wagtailsettings | Reformat with black | test_redirect_to_current | d10f15e55806c6944827d801cd9c2d53f5da4186 | wagtail | test_admin.py | 12 | 11 | https://github.com/wagtail/wagtail.git | 1 | 78 | 0 | 23 | 127 | Python | {
"docstring": "\n Should redirect to the setting for the current site taken from the URL,\n by default\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 13
} | def test_redirect_to_current(self):
start_url = reverse("wagtailsettings:edit", args=["tests", "testsetting"])
dest_url = reverse(
"wagtailsettings:edit", args=["tests", "testsetting", self.other_site.pk]
)
response = self.client.get(
start_url, follow=Tr... | |
35,052 | 151,576 | 407 | freqtrade/freqai/base_models/FreqaiMultiOutputClassifier.py | 114 | 27 | def fit(self, X, y, sample_weight=None, fit_params=None):
if not hasattr(self.estimator, "fit"):
raise ValueError("The base estimator should implement a fit method")
y = self._validate_data(X="no_validation", y=y, multi_output=True)
if is_classifier(self):
che... | add strat and config for testing on PR | fit | 217add70bd010cae584db5aa13a7d5e76011e2bd | freqtrade | FreqaiMultiOutputClassifier.py | 13 | 31 | https://github.com/freqtrade/freqtrade.git | 11 | 239 | 0 | 87 | 379 | Python | {
"docstring": "Fit the model to data, separately for each output variable.\n Parameters\n ----------\n X : {array-like, sparse matrix} of shape (n_samples, n_features)\n The input data.\n y : {array-like, sparse matrix} of shape (n_samples, n_outputs)\n Multi-output ... | def fit(self, X, y, sample_weight=None, fit_params=None):
if not hasattr(self.estimator, "fit"):
raise ValueError("The base estimator should implement a fit method")
y = self._validate_data(X="no_validation", y=y, multi_output=True)
if is_classifier(self):
che... | |
24,472 | 111,721 | 54 | nni/retiarii/nn/pytorch/api.py | 14 | 7 | def inner_choices(self) -> Iterable['ValueChoice']:
for arg in self.arguments:
if isinstance(arg, ValueChoiceX):
yield from arg.inner_choices()
| Composition of `ValueChoice` (#4435) | inner_choices | a36dc07e8d39ec4438fd660c98f6f4551ff5f4a6 | nni | api.py | 12 | 9 | https://github.com/microsoft/nni.git | 3 | 33 | 0 | 14 | 56 | Python | {
"docstring": "\n Return an iterable of all leaf value choices.\n Useful for composition of value choices.\n No deduplication on labels. Mutators should take care.\n ",
"language": "en",
"n_whitespaces": 51,
"n_words": 22,
"vocab_size": 19
} | def inner_choices(self) -> Iterable['ValueChoice']:
for arg in self.arguments:
if isinstance(arg, ValueChoiceX):
yield from arg.inner_choices()
| |
49,661 | 200,455 | 451 | sympy/tensor/index_methods.py | 152 | 29 | def get_indices(expr):
# We call ourself recursively to d | Fix various typos
Found via `codespell -q 3 -L aboves,aline,ans,aother,arithmetics,assum,atleast,braket,clen,declar,declars,dorder,dum,enew,fo,fro,inout,iself,ist,ket,lamda,lightyear,lightyears,nd,numer,numers,orderd,ot,pring,rcall,rever,ro,ser,siz,splitted,sring,supercedes,te,tht,unequality,upto,vas,versin,whet` | get_indices | 24f1e7730119fe958cc8e28411f790c9a5ec04eb | sympy | index_methods.py | 16 | 30 | https://github.com/sympy/sympy.git | 13 | 186 | 0 | 102 | 311 | Python | {
"docstring": "Determine the outer indices of expression ``expr``\n\n By *outer* we mean indices that are not summation indices. Returns a set\n and a dict. The set contains outer indices and the dict contains\n information about index symmetries.\n\n Examples\n ========\n\n >>> from sympy.tensor... | def get_indices(expr):
# We call ourself recursively to determine indices of sub expressions.
# break recursion
if isinstance(expr, Indexed):
c = expr.indices
inds, dummies = _remove_repeated(c)
return inds, {}
elif expr is None:
return set(), {}
elif isinstance... | |
12,478 | 61,265 | 38 | .venv/lib/python3.8/site-packages/pip/_internal/utils/misc.py | 16 | 6 | def dist_location(dist):
# type: (Distribution) -> str
egg_link = egg_link_path(dist)
if egg_link:
return normalize_path(egg_lin | upd; format | dist_location | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | misc.py | 9 | 5 | https://github.com/jindongwang/transferlearning.git | 2 | 27 | 0 | 15 | 48 | Python | {
"docstring": "\n Get the site-packages location of this distribution. Generally\n this is dist.location, except in the case of develop-installed\n packages, where dist.location is the source code location, and we\n want to know where the egg-link file is.\n\n The returned location is normalized (in p... | def dist_location(dist):
# type: (Distribution) -> str
egg_link = egg_link_path(dist)
if egg_link:
return normalize_path(egg_link)
return normalize_path(dist.location)
| |
39,618 | 164,908 | 119 | pandas/_testing/_io.py | 41 | 8 | def can_connect(url, error_classes=None):
if error_classes is None:
error_classes = _get_default_network_errors()
try:
with urlopen(url, time | TST: Check network URL statuses in tests (#45949) | can_connect | 4bc68b39511fdf1dffe91bd315ffee9565b90d1a | pandas | _io.py | 13 | 11 | https://github.com/pandas-dev/pandas.git | 4 | 52 | 0 | 33 | 92 | Python | {
"docstring": "\n Try to connect to the given url. True if succeeds, False if OSError\n raised\n\n Parameters\n ----------\n url : basestring\n The URL to try to connect to\n\n Returns\n -------\n connectable : bool\n Return True if no OSError (unable to connect) or URLError (ba... | def can_connect(url, error_classes=None):
if error_classes is None:
error_classes = _get_default_network_errors()
try:
with urlopen(url, timeout=20) as response:
# Timeout just in case rate-limiting is applied
if response.status != 200:
return False
... | |
19,247 | 95,842 | 448 | tests/sentry/incidents/endpoints/test_serializers.py | 73 | 46 | def test_valid_slack_channel_id(self):
integration = Integration.objects.create(
external_id="1",
provider="slack",
metadata={"access_token": "xoxp-xxxxxxxxx-xxxxxxxxxx-xxxxxxxxxxxx"},
)
integration.add_organization(self.organization, self.user)
... | ref(serializers): Split up large file (#31359) | test_valid_slack_channel_id | efb962b72c649c18c466afae41722384d111824b | sentry | test_serializers.py | 15 | 36 | https://github.com/getsentry/sentry.git | 1 | 210 | 0 | 63 | 360 | Python | {
"docstring": "\n Test that when a valid Slack channel ID is provided, we look up the channel name and validate it against the targetIdentifier.\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 22,
"vocab_size": 20
} | def test_valid_slack_channel_id(self):
integration = Integration.objects.create(
external_id="1",
provider="slack",
metadata={"access_token": "xoxp-xxxxxxxxx-xxxxxxxxxx-xxxxxxxxxxxx"},
)
integration.add_organization(self.organization, self.user)
... | |
56,520 | 221,804 | 194 | python3.10.4/Lib/ctypes/_aix.py | 77 | 9 | def get_legacy(members):
if AIX_ABI == 64:
# AIX 64-bit member is | add python 3.10.4 for windows | get_legacy | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | _aix.py | 15 | 12 | https://github.com/XX-net/XX-Net.git | 5 | 59 | 0 | 54 | 103 | Python | {
"docstring": "\n This routine provides historical aka legacy naming schemes started\n in AIX4 shared library support for library members names.\n e.g., in /usr/lib/libc.a the member name shr.o for 32-bit binary and\n shr_64.o for 64-bit binary.\n ",
"language": "en",
"n_whitespaces": 49,
"n_wor... | def get_legacy(members):
if AIX_ABI == 64:
# AIX 64-bit member is one of shr64.o, shr_64.o, or shr4_64.o
expr = r'shr4?_?64\.o'
member = get_one_match(expr, members)
if member:
return member
else:
# 32-bit legacy names - both shr.o and shr4.o exist.
... | |
54,425 | 216,136 | 542 | salt/states/iptables.py | 176 | 12 | def set_policy(name, table="filter", family="ipv4", **kwargs):
ret = {"name": name, "changes": {}, "result": None, "comment": ""}
for ignore in _STATE_INTERNAL_KEYWORDS:
if ignore in kwargs:
del kwargs[ignore]
if (
__salt__["iptables.get_policy"](table, kwargs["chain"], fa... | salt.states.iptables: Document the save parameter
The examples mention this, but the reference documentation did not,
and it isn't obvious from the example that minimal installations of
some operating systems (in particular Debian) don't have all the
necessary packages to make it effective, even if iptables itself is
... | set_policy | 497ebde11325333cf8e1c0e4eeec185a55fb6ace | salt | iptables.py | 14 | 46 | https://github.com/saltstack/salt.git | 9 | 281 | 0 | 83 | 491 | Python | {
"docstring": "\n .. versionadded:: 2014.1.0\n\n Sets the default policy for iptables firewall tables\n\n table\n The table that owns the chain that should be modified\n\n family\n Networking family, either ipv4 or ipv6\n\n policy\n The requested table policy\n\n save\n ... | def set_policy(name, table="filter", family="ipv4", **kwargs):
ret = {"name": name, "changes": {}, "result": None, "comment": ""}
for ignore in _STATE_INTERNAL_KEYWORDS:
if ignore in kwargs:
del kwargs[ignore]
if (
__salt__["iptables.get_policy"](table, kwargs["chain"], fa... | |
117,938 | 321,839 | 99 | tests/end2end/fixtures/quteprocess.py | 20 | 12 | def _after_start(self):
delay = self.request.config.getoption('--qute-delay-start')
if delay:
with self.disable_capturing():
print(f"- waiting {delay}ms for quteprocess "
f"(PID: {self.proc.processId()})...")
time. | quteprocess: Add --qute-delay-start
Allows for some rudimentary debugging of subprocesses. | _after_start | 496c14bc9e0afb6c6787a0a167a1cb623ce5e2ff | qutebrowser | quteprocess.py | 17 | 7 | https://github.com/qutebrowser/qutebrowser.git | 2 | 43 | 0 | 20 | 97 | Python | {
"docstring": "Wait before continuing if requested, e.g. for debugger attachment.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def _after_start(self):
delay = self.request.config.getoption('--qute-delay-start')
if delay:
with self.disable_capturing():
print(f"- waiting {delay}ms for quteprocess "
f"(PID: {self.proc.processId()})...")
time.sleep(delay / 1000)... | |
54,326 | 216,018 | 192 | salt/modules/vault.py | 66 | 19 | def list_secrets(path, default=None):
if default is None:
default = CommandExecutionError
log.debug("Listing vault secret keys for %s in %s", __grains__["id"], path)
version2 = __utils__["vault.is_v2"](path)
if version2["v2"]:
path = version2["metadata"]
try:
url = "v1/{... | Don't pass Error as default value in vault.py | list_secrets | 681ea37f212619266424f00173d0affa27002071 | salt | vault.py | 17 | 19 | https://github.com/saltstack/salt.git | 6 | 123 | 0 | 54 | 215 | Python | {
"docstring": "\n .. versionchanged:: 3001\n The ``default`` argument has been added. When the path or path/key\n combination is not found, an exception will be raised, unless a default\n is provided.\n\n List secret keys at the path in vault. The vault policy used must allow this.\n Th... | def list_secrets(path, default=None):
if default is None:
default = CommandExecutionError
log.debug("Listing vault secret keys for %s in %s", __grains__["id"], path)
version2 = __utils__["vault.is_v2"](path)
if version2["v2"]:
path = version2["metadata"]
try:
url = "v1/{... | |
@RunIf(skip_windows=True, fairscale=True)
@mock.patch("pytorch_lightning.strategies.DDPShardedStrategy._wrap_optimizers", autospec=True)
@pytest.mark.parametrize(["params", "expected_buffer_size"], [(dict(), 0), (dict(reduce_buffer_size=128), 128)])
@pytest.mark.parametrize("num_nodes", [1, 2]) | 69,609 | 241,584 | 79 | tests/strategies/test_sharded_strategy.py | 49 | 29 | def test_custom_kwargs_sharded(tmpdir, cls):
strategy = cls(reduce_fp16=True)
strategy.model = Mock(spec=LightningModule)
strategy.model.trainer = Mock()
class_name = "sharded" if isinstance(strategy, DDPShardedStrategy) else "sharded_spawn"
with mock.patch(f"pytorch_lightning.strategies.{clas... | Rename training plugin test files & names to strategy (#11303) | test_custom_kwargs_sharded | 650c710efacd633fa283955145342bb64063c883 | lightning | test_sharded_strategy.py | 12 | 10 | https://github.com/Lightning-AI/lightning.git | 2 | 83 | 1 | 42 | 257 | Python | {
"docstring": "Tests to ensure that if custom kwargs are passed, they are set correctly.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 12
} | def test_custom_kwargs_sharded(tmpdir, cls):
strategy = cls(reduce_fp16=True)
strategy.model = Mock(spec=LightningModule)
strategy.model.trainer = Mock()
class_name = "sharded" if isinstance(strategy, DDPShardedStrategy) else "sharded_spawn"
with mock.patch(f"pytorch_lightning.strategies.{clas... |
"""
# This file was generated by 'versioneer.py' (0.21) from
# revision-control system data, or from the parent directory name of an
# unpacked source archive. Distribution tarballs contain a pre-generated copy
# of this file.
import | 47,323 | 195,608 | 170 | versioneer.py | 58 | 21 | def versions_from_parentdir(parentdir_prefix, root, verbose):
rootdirs = []
for _ in range(3):
dirname = os.path.basename(root)
if dirname.startswith(parent | add auto tag | versions_from_parentdir | f0194812568c83585ff09488fe7f67df300938cc | rembg | versioneer.py | 15 | 14 | https://github.com/danielgatis/rembg.git | 4 | 106 | 1 | 51 | 199 | Python | {
"docstring": "Try to determine the version from the parent directory name.\n\n Source tarballs conventionally unpack into a directory that includes both\n the project name and a version string. We will also support searching up\n two directory levels for an appropriately named parent directory\n \n# Thi... | def versions_from_parentdir(parentdir_prefix, root, verbose):
rootdirs = []
for _ in range(3):
dirname = os.path.basename(root)
if dirname.startswith(parentdir_prefix):
return {"version": dirname[len(parentdir_prefix):],
"full-revisionid": None,
... |
50,354 | 203,405 | 1,211 | django/contrib/admin/options.py | 248 | 51 | def response_add(self, request, obj, post_url_continue=None):
opts = obj._meta
preserved_filters = self.get_preserved_filters(request)
obj_url = reverse(
"admin:%s_%s_change" % (opts.app_label, opts.model_name),
args=(quote(obj.pk),),
current_app=self... | Refs #33476 -- Reformatted code with Black. | response_add | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | options.py | 15 | 77 | https://github.com/django/django.git | 12 | 410 | 0 | 152 | 665 | Python | {
"docstring": "\n Determine the HttpResponse for the add_view stage.\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 7,
"vocab_size": 6
} | def response_add(self, request, obj, post_url_continue=None):
opts = obj._meta
preserved_filters = self.get_preserved_filters(request)
obj_url = reverse(
"admin:%s_%s_change" % (opts.app_label, opts.model_name),
args=(quote(obj.pk),),
current_app=self... | |
117,110 | 320,280 | 61 | src/paperless_mail/tests/test_parsers.py | 26 | 8 | def test_tika_parse_unreachable(self):
html = '<html><he | add test comments | test_tika_parse_unreachable | 4aa318598fd0dc6c5d4e08dd2a13e7bf614511ec | paperless-ngx | test_parsers.py | 9 | 4 | https://github.com/paperless-ngx/paperless-ngx.git | 1 | 30 | 0 | 25 | 54 | Python | {
"docstring": "\n GIVEN:\n - Fresh start\n WHEN:\n - tika parsing is called but tika is not available\n THEN:\n - a ParseError Exception is thrown\n ",
"language": "en",
"n_whitespaces": 84,
"n_words": 22,
"vocab_size": 17
} | def test_tika_parse_unreachable(self):
html = '<html><head><meta http-equiv="content-type" content="text/html; charset=UTF-8"></head><body><p>Some Text</p></body></html>'
# Check if exception is raised when Tika cannot be reached.
self.parser.tika_server = ""
self.assertRaises(... | |
43,543 | 181,757 | 17 | tests/tpot_tests.py | 8 | 6 | def test_read_config_file_2():
tpot_obj = TPOTRegressor()
assert_raises(ValueError, tpot | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | test_read_config_file_2 | 388616b6247ca4ea8de4e2f340d6206aee523541 | tpot | tpot_tests.py | 8 | 3 | https://github.com/EpistasisLab/tpot.git | 1 | 20 | 0 | 8 | 37 | Python | {
"docstring": "Assert that _read_config_file rasies ValueError with wrong dictionary format",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def test_read_config_file_2():
tpot_obj = TPOTRegressor()
assert_raises(ValueError, tpot_obj._read_config_file, "tests/test_config.py.bad")
| |
78,295 | 266,105 | 70 | netbox/netbox/staging.py | 28 | 17 | def pre_delete_handler(self, sender, instance, **kwargs):
key = self.get_key_for_instance(instance)
object_type = instance._meta.verbose_name
# Delete an existing object
logger.debug(f"[{self.branch}] Staging deletion of {object_type} {instance} (PK: {instance.pk})")
se... | Closes #10851: New staging mechanism (#10890)
* WIP
* Convert checkout() context manager to a class
* Misc cleanup
* Drop unique constraint from Change model
* Extend staging tests
* Misc cleanup
* Incorporate M2M changes
* Don't cancel wipe out creation records when an object is deleted
* Rena... | pre_delete_handler | a5308ea28e851a4ddb65a4e7ca2297b641e5891f | netbox | staging.py | 10 | 5 | https://github.com/netbox-community/netbox.git | 1 | 49 | 0 | 26 | 100 | Python | {
"docstring": "\n Hooks to the pre_delete signal when a branch is active to queue delete actions.\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 14,
"vocab_size": 13
} | def pre_delete_handler(self, sender, instance, **kwargs):
key = self.get_key_for_instance(instance)
object_type = instance._meta.verbose_name
# Delete an existing object
logger.debug(f"[{self.branch}] Staging deletion of {object_type} {instance} (PK: {instance.pk})")
se... | |
28,421 | 127,346 | 98 | python/ray/serve/experimental/gradio_visualize_graph.py | 42 | 11 | def _reset_state(self):
self.cache = {}
| [serve] Visualize Deployment Graph with Gradio (#27897) | _reset_state | 4c970cc88247f7cfa7351297b8b5050f2372742e | ray | gradio_visualize_graph.py | 8 | 6 | https://github.com/ray-project/ray.git | 1 | 48 | 0 | 27 | 79 | Python | {
"docstring": "Resets state for each new RayServeHandle representing a new DAG.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
} | def _reset_state(self):
self.cache = {}
self.resolved_nodes = 0
self.finished_last_inference = True
# maps DAGNode uuid to unique instance of a gradio block
self.node_to_block: Dict[DAGNode, Any] = {}
# maps InputAttributeNodes to unique instance of interactive ... | |
7,318 | 40,109 | 20 | dash/testing/browser.py | 6 | 6 | def find_element(self, selector):
| :hocho: deprecated find_element(s)_by_css_selector | find_element | 5dfa6b0782803cb0635119ee1dcf8775dd76c8a7 | dash | browser.py | 8 | 2 | https://github.com/plotly/dash.git | 1 | 21 | 0 | 6 | 34 | Python | {
"docstring": "find_element returns the first found element by the css `selector`\n shortcut to `driver.find_element(By.CSS_SELECTOR, ...)`.",
"language": "en",
"n_whitespaces": 20,
"n_words": 14,
"vocab_size": 13
} | def find_element(self, selector):
return self.driver.find_element(By.CSS_SELECTOR, selector)
| |
26,265 | 118,518 | 20 | lib/tests/streamlit/caching/memo_test.py | 6 | 5 | def test_bad_persist_value(self):
with self.assertRaises(StreamlitAPIException) as e:
| st.memo/singleton: cache-specific clear() functionality (#4184)
Gives `@st.memo` and `@st.singleton` a per-cache `clear()` function, similar to Python's [functools.lru_cache API](https://docs.python.org/3/library/functools.html#functools.lru_cache).
You can use it like this:
```python
@st.experimental_memo
def... | test_bad_persist_value | b7f417f86ed4ca12c522d8ae5c147f932ffc7d40 | streamlit | memo_test.py | 10 | 8 | https://github.com/streamlit/streamlit.git | 1 | 41 | 0 | 6 | 32 | Python | {
"docstring": "Throw an error if an invalid value is passed to 'persist'.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | def test_bad_persist_value(self):
with self.assertRaises(StreamlitAPIException) as e:
| |
42,847 | 178,863 | 2,090 | nuitka/OptionParsing.py | 859 | 33 | def _getDataFileTagsOptionHelp():
return % ", ".join(
"'%s' (%s)" % d for d in data_files_tags
)
data_file_tags_option = data_group.add_option(
"--data-file-tags",
action="append",
dest="data_file_tags",
metavar="DATA_TAGS",
default=[],
)
parser.add_option_group(data_group)
exe... | Plugins: Added ability to provide data file tags | _getDataFileTagsOptionHelp | e940705671f341139487d79b0eb0b6b9104f0a71 | Nuitka | OptionParsing.py | 12 | 9 | https://github.com/Nuitka/Nuitka.git | 2 | 19 | 0 | 399 | 3,971 | Python | {
"docstring": "\\\nFor included data files, special handlings can be chosen. With the\ncommercial plugins, e.g. files can be included directly in the\nbinary. The list is completed by some plugins. With the current\nlist of plugins, these are available: %s.\nThe default is empty.\\\nExecute immediately the created b... | def _getDataFileTagsOptionHelp():
return % ", ".join(
"'%s' (%s)" % d for d in data_files_tags
)
data_file_tags_option = data_group.add_option(
"--data-file-tags",
action="append",
dest="data_file_tags",
metavar="DATA_TAGS",
default=[],
)
parser.add_option_group(data_group)
exe... | |
15,867 | 72,267 | 236 | wagtail/admin/tests/test_workflows.py | 34 | 16 | def test_collect_workflow_action_data_post(self):
response = self.client.post(
reverse(
"wagtailadmin_pages:collect_workflow_action_data",
args=(
self.page | Reformat with black | test_collect_workflow_action_data_post | d10f15e55806c6944827d801cd9c2d53f5da4186 | wagtail | test_workflows.py | 15 | 18 | https://github.com/wagtail/wagtail.git | 1 | 94 | 0 | 27 | 159 | Python | {
"docstring": "\n This tests that a POST request to the collect_workflow_action_data view (for the approve action) returns a modal response with the validated data\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 22,
"vocab_size": 19
} | def test_collect_workflow_action_data_post(self):
response = self.client.post(
reverse(
"wagtailadmin_pages:collect_workflow_action_data",
args=(
self.page.id,
"approve",
self.page.current_workflow_t... | |
25,581 | 115,841 | 31 | mindsdb/integrations/handlers/lightwood_handler/tests/test_lightwood_handler.py | 11 | 13 | def test_02_train_predictor(self):
query = f
response = self.handler.native_query(query)
self.assertTrue(response.type == | add more TS tests | test_02_train_predictor | 871793d4fbd99f454c0c1ff14db6ce3c385e656c | mindsdb | test_lightwood_handler.py | 9 | 8 | https://github.com/mindsdb/mindsdb.git | 1 | 31 | 0 | 10 | 69 | Python | {
"docstring": "\n CREATE PREDICTOR {self.test_model_1}\n FROM {PG_HANDLER_NAME} (SELECT * FROM {self.data_table_1} limit 50)\n PREDICT rental_price\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 13,
"vocab_size": 12
} | def test_02_train_predictor(self):
query = f
response = self.handler.native_query(query)
self.assertTrue(response.type == RESPONSE_TYPE.OK)
| |
@TRANSFORMS.register_module() | 70,426 | 244,549 | 123 | mmdet/datasets/pipelines/loading.py | 36 | 13 | def __call__(self, results):
img = results['img']
if self.to_float32:
img = img.astype(np.float32)
results['img_path'] = None
results['img'] = img
height, width = img.shape[:2]
results['height'] = height
results['width'] = width
resu... | Refacter Visualization | __call__ | c71a160c5193b92f6a4f56c113e96b63decf8354 | mmdetection | loading.py | 11 | 12 | https://github.com/open-mmlab/mmdetection.git | 2 | 78 | 1 | 22 | 147 | Python | {
"docstring": "Call functions to add image meta information.\n\n Args:\n results (dict): Result dict with Webcam read image in\n ``results['img']``.\n\n Returns:\n dict: The dict contains loaded image and meta information.\n ",
"language": "en",
"n_whites... | def __call__(self, results):
img = results['img']
if self.to_float32:
img = img.astype(np.float32)
results['img_path'] = None
results['img'] = img
height, width = img.shape[:2]
results['height'] = height
results['width'] = width
resu... |
29,488 | 131,233 | 381 | python/ray/tests/test_advanced_4.py | 114 | 20 | def test_jemalloc_env_var_propagate():
gcs_ptype = ray.ray_constants.PROCESS_TYPE_GCS_SERVER
expected = {}
actual = ray._private.services.propagate_jemalloc_env_var(
jemalloc_path="", jemalloc_conf="", jemalloc_comps=[], process_type=gcs_ptype
)
assert actual == expected
actual... | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | test_jemalloc_env_var_propagate | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | test_advanced_4.py | 12 | 57 | https://github.com/ray-project/ray.git | 1 | 258 | 0 | 52 | 420 | Python | {
"docstring": "Test `propagate_jemalloc_env_var`\n If the shared library path is not specified,\n it should return an empty dict.\n \n When the shared library is specified\n \n When the malloc config is specified\n ",
"language": "en",
"n_whitespaces": 51,
"n_words": 28,
"vocab_size": 20... | def test_jemalloc_env_var_propagate():
gcs_ptype = ray.ray_constants.PROCESS_TYPE_GCS_SERVER
expected = {}
actual = ray._private.services.propagate_jemalloc_env_var(
jemalloc_path="", jemalloc_conf="", jemalloc_comps=[], process_type=gcs_ptype
)
assert actual == expected
actual... | |
70,341 | 244,349 | 674 | mmdet/models/dense_heads/dense_test_mixins.py | 171 | 54 | def aug_test_bboxes(self, feats, img_metas, rescale=False):
# check with_nms argument
gb_sig = signature(self.get_results)
gb_args = [p.name for p in gb_sig.parameters.values()]
gbs_sig = signature(self._get_results_single)
gbs_args = [p.name for p in gbs_sig.parameters.... | [Refactor] Refactor dense head outputs to InstanceResults. | aug_test_bboxes | 9a3bf7660e6ced54672741095f96df07919f9ba7 | mmdetection | dense_test_mixins.py | 14 | 46 | https://github.com/open-mmlab/mmdetection.git | 9 | 361 | 0 | 122 | 567 | Python | {
"docstring": "Test det bboxes with test time augmentation, can be applied in\n DenseHead except for ``RPNHead`` and its variants, e.g., ``GARPNHead``,\n etc.\n\n Args:\n feats (list[Tensor]): the outer list indicates test-time\n augmentations and inner Tensor should ha... | def aug_test_bboxes(self, feats, img_metas, rescale=False):
# check with_nms argument
gb_sig = signature(self.get_results)
gb_args = [p.name for p in gb_sig.parameters.values()]
gbs_sig = signature(self._get_results_single)
gbs_args = [p.name for p in gbs_sig.parameters.... | |
71,136 | 246,294 | 32 | synapse/replication/tcp/protocol.py | 11 | 8 | def pauseProducing(self) -> None:
logger.info("[%s] Pause producing", self.id())
self.state = ConnectionStat | Add missing type hints to synapse.replication. (#11938) | pauseProducing | d0e78af35e519ff76bd23e786007f3e7130d90f7 | synapse | protocol.py | 9 | 10 | https://github.com/matrix-org/synapse.git | 1 | 27 | 0 | 11 | 48 | Python | {
"docstring": "This is called when both the kernel send buffer and the twisted\n tcp connection send buffers have become full.\n\n We don't actually have any control over those sizes, so we buffer some\n commands ourselves before knifing the connection due to the remote\n failing to keep ... | def pauseProducing(self) -> None:
logger.info("[%s] Pause producing", self.id())
self.state = ConnectionStates.PAUSED
| |
55,605 | 219,497 | 104 | python3.10.4/Lib/_collections_abc.py | 28 | 6 | def throw(self, typ, val=None, tb=None):
if val is None:
if tb is None:
raise typ
val = typ()
if tb is not None:
va | add python 3.10.4 for windows | throw | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | _collections_abc.py | 10 | 8 | https://github.com/XX-net/XX-Net.git | 4 | 49 | 0 | 16 | 78 | Python | {
"docstring": "Raise an exception in the coroutine.\n Return next yielded value or raise StopIteration.\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 13,
"vocab_size": 13
} | def throw(self, typ, val=None, tb=None):
if val is None:
if tb is None:
raise typ
val = typ()
if tb is not None:
val = val.with_traceback(tb)
raise val
| |
3,497 | 20,715 | 29 | pipenv/patched/notpip/_vendor/rich/console.py | 8 | 4 | def _exit_buffer(self) -> None:
se | 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... | _exit_buffer | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | pipenv | console.py | 7 | 4 | https://github.com/pypa/pipenv.git | 1 | 18 | 0 | 8 | 33 | Python | {
"docstring": "Leave buffer context, and render content if required.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | def _exit_buffer(self) -> None:
self._buffer_index -= 1
self._check_buffer()
| |
116,193 | 317,626 | 27 | homeassistant/components/switchbot/coordinator.py | 11 | 2 | def flatten_sensors_data(sensor):
if "temp" in sensor["data"]:
sensor["data"]["temp | Add Switchbot hygrometers (#75325)
* Switchbot add support for hygrometers
* Update CODEOWNERS
* Improve debug
* Remove redundant mention to temp unit
* Adopt FlowResultType
* Modify SwitchBot data within coordinator
* Increase logging for switchbot sensor
* Revert "Increase logging for switchbot ... | flatten_sensors_data | 148f96351052b0a4ba31e7d15dad16d7639e1ceb | core | coordinator.py | 12 | 4 | https://github.com/home-assistant/core.git | 2 | 34 | 0 | 11 | 67 | Python | {
"docstring": "Deconstruct SwitchBot library temp object C/Fº readings from dictionary.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def flatten_sensors_data(sensor):
if "temp" in sensor["data"]:
sensor["data"]["temperature"] = sensor["data"]["temp"]["c"]
return sensor
| |
82,378 | 278,120 | 696 | keras/feature_column/sequence_feature_column_test.py | 115 | 29 | def test_shared_embedding_column_with_non_sequence_categorical(self):
with tf.Graph().as_default():
vocabulary_size = 3
sparse_input_a = tf.compat.v1.SparseTensorValue(
# example 0, ids [2]
# example 1, ids [0, 1]
indices=((0, 0), ... | resolve line-too-long in feature_column | test_shared_embedding_column_with_non_sequence_categorical | 6fafb567af4e4d9f42974d0b6c55b18bc03e17eb | keras | sequence_feature_column_test.py | 15 | 39 | https://github.com/keras-team/keras.git | 1 | 218 | 0 | 64 | 332 | Python | {
"docstring": "Tests that error is raised for non-sequence shared embedding\n column.",
"language": "en",
"n_whitespaces": 16,
"n_words": 10,
"vocab_size": 10
} | def test_shared_embedding_column_with_non_sequence_categorical(self):
with tf.Graph().as_default():
vocabulary_size = 3
sparse_input_a = tf.compat.v1.SparseTensorValue(
# example 0, ids [2]
# example 1, ids [0, 1]
indices=((0, 0), ... | |
85,472 | 285,879 | 320 | openbb_terminal/helper_funcs.py | 90 | 18 | def get_next_stock_market_days(last_stock_day, n_next_days) -> list:
n_days = 0
l_pred_days = []
years: list = []
holidays: list = []
if isinstance(last_stock_day, datetime):
while n_days < n_next_days:
last_stock_day += timedelta(ho | Forecasting Menu [Work in Progress] (#1933)
* Gave forecasting memory
* Fixed scripts, refactored
* FIxed poetry lock
* edge case check for forecast target
* Improved combine and load functionality
* Cleaned up translations
* Fixed issue with covariates
* Fixed issue checking covariates
* Anoth... | get_next_stock_market_days | 7fd72d9ee1e8847717195859bf6d608268a94e2f | OpenBBTerminal | helper_funcs.py | 14 | 24 | https://github.com/OpenBB-finance/OpenBBTerminal.git | 7 | 133 | 0 | 52 | 225 | Python | {
"docstring": "Gets the next stock market day. Checks against weekends and holidays",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | def get_next_stock_market_days(last_stock_day, n_next_days) -> list:
n_days = 0
l_pred_days = []
years: list = []
holidays: list = []
if isinstance(last_stock_day, datetime):
while n_days < n_next_days:
last_stock_day += timedelta(hours=24)
year = last_stock_day.... | |
@pytest.mark.asyncio
@pytest.mark.parametrize(
"failures",
[
[True, True, True, True, True],
[False, False, False, False, False],
[False, True, False, True, False],
[False, False, False, True, True],
[True, True, False, False, False],
],
) | 27,665 | 124,708 | 225 | dashboard/tests/test_state_head.py | 120 | 21 | async def test_max_concurrent_in_progress_functions(extra_req_num):
max_req = 10
a = A(max_num_call=max_req)
# Run more than allowed concurrent async functions should trigger rate limiting
res_arr = await asyncio.gather(
*[a.fn1() if i % 2 == 0 else a.fn2() for i in range(max_req + extra_r... | [Core | State Observability] Implement API Server (Dashboard) HTTP Requests Throttling (#26257)
This is to limit the max number of HTTP requests the dashboard (API server) will accept before rejecting more requests.
This will make sure the observability requests do not overload the downstream systems (raylet/gcs) whe... | test_max_concurrent_in_progress_functions | 365ffe21e592589880e3116302705b5e08a5b81f | ray | test_state_head.py | 15 | 15 | https://github.com/ray-project/ray.git | 5 | 96 | 1 | 78 | 270 | Python | {
"docstring": "Test rate limiting for concurrent in-progress requests on StateHead",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | async def test_max_concurrent_in_progress_functions(extra_req_num):
max_req = 10
a = A(max_num_call=max_req)
# Run more than allowed concurrent async functions should trigger rate limiting
res_arr = await asyncio.gather(
*[a.fn1() if i % 2 == 0 else a.fn2() for i in range(max_req + extra_r... |
37,330 | 158,149 | 132 | d2l/mxnet.py | 87 | 6 | def transpose_qkv(X, num_heads):
# Shape of input `X`:
# (`batch_size`, no. | [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... | transpose_qkv | b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | d2l-zh | mxnet.py | 10 | 4 | https://github.com/d2l-ai/d2l-zh.git | 1 | 69 | 0 | 37 | 111 | Python | {
"docstring": "Transposition for parallel computation of multiple attention heads.\n\n Defined in :numref:`sec_multihead-attention`",
"language": "en",
"n_whitespaces": 13,
"n_words": 11,
"vocab_size": 11
} | def transpose_qkv(X, num_heads):
# Shape of input `X`:
# (`batch_size`, no. of queries or key-value pairs, `num_hiddens`).
# Shape of output `X`:
# (`batch_size`, no. of queries or key-value pairs, `num_heads`,
# `num_hiddens` / `num_heads`)
X = X.reshape(X.shape[0], X.shape[1], num_heads, ... | |
9,018 | 46,849 | 131 | airflow/models/taskinstance.py | 21 | 13 | def current_state(self, session=NEW_SESSION) -> str:
return (
session.query(TaskInstance.state)
.filter(
TaskInstance.dag_id == self.dag_id,
TaskInstance.task_id == self.ta | No need to load whole ti in current_state (#22764)
Co-authored-by: Jed Cunningham <66968678+jedcunningham@users.noreply.github.com>
Co-authored-by: Tzu-ping Chung <uranusjr@gmail.com> | current_state | 4eaf9bcddfb370222b4386b02975974bb253f614 | airflow | taskinstance.py | 13 | 17 | https://github.com/apache/airflow.git | 1 | 55 | 0 | 18 | 85 | Python | {
"docstring": "\n Get the very latest state from the database, if a session is passed,\n we use and looking up the state becomes part of the session, otherwise\n a new session is used.\n\n :param session: SQLAlchemy ORM Session\n ",
"language": "en",
"n_whitespaces": 72,
"n_w... | def current_state(self, session=NEW_SESSION) -> str:
return (
session.query(TaskInstance.state)
.filter(
TaskInstance.dag_id == self.dag_id,
TaskInstance.task_id == self.task_id,
TaskInstance.run_id == self.run_id,
)
... | |
41,724 | 176,154 | 71 | networkx/generators/small.py | 28 | 5 | def house_graph(create_using=None):
description = [
"adjacencylist",
"House Graph",
5,
[[2, 3], | 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> | house_graph | dec723f072eb997a497a159dbe8674cd39999ee9 | networkx | small.py | 9 | 9 | https://github.com/networkx/networkx.git | 1 | 64 | 0 | 24 | 90 | Python | {
"docstring": "\n Returns the House graph (square with triangle on top)\n\n The house graph is a simple undirected graph with\n 5 nodes and 6 edges [1]_.\n\n Parameters\n ----------\n create_using : NetworkX graph constructor, optional (default=nx.Graph)\n Graph type to create. If graph insta... | def house_graph(create_using=None):
description = [
"adjacencylist",
"House Graph",
5,
[[2, 3], [1, 4], [1, 4, 5], [2, 3, 5], [3, 4]],
]
G = make_small_undirected_graph(description, create_using)
return G
| |
4,208 | 22,136 | 114 | pipenv/patched/pip/_vendor/requests/utils.py | 40 | 9 | def check_header_validity(header):
name, value = header
for part in header:
if type(part) not in HEADER_VALIDATORS:
raise InvalidHeader(
f"Header part ({part!r}) | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | check_header_validity | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | pipenv | utils.py | 16 | 10 | https://github.com/pypa/pipenv.git | 3 | 67 | 0 | 37 | 134 | Python | {
"docstring": "Verifies that header parts don't contain leading whitespace\n reserved characters, or return characters.\n\n :param header: tuple, in the format (name, value).\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 21,
"vocab_size": 21
} | def check_header_validity(header):
name, value = header
for part in header:
if type(part) not in HEADER_VALIDATORS:
raise InvalidHeader(
f"Header part ({part!r}) from {{{name!r}: {value!r}}} must be "
f"of type str or bytes, not {type(part)}"
... | |
5,130 | 27,800 | 330 | saleor/graphql/order/tests/test_order.py | 129 | 45 | def test_orderline_query(staff_api_client, permission_manage_orders, fulfilled_order):
order = fulfilled_order
query =
line = order.lines.first()
metadata_key = "md key"
metadata_value = "md value"
line.store_value_in_private_metadata({metadata_key: metadata_value})
line.store_value_in_me... | Metadata added to checkout and order lines (#10040)
* Metadata added to checkout and order lines
* CHANGELOG.md update
* Missing tests added | test_orderline_query | a68553e1a55e3a1bd32826cdce294d27f74175e9 | saleor | test_order.py | 15 | 93 | https://github.com/saleor/saleor.git | 1 | 349 | 0 | 78 | 595 | Python | {
"docstring": "\n query OrdersQuery {\n orders(first: 1) {\n edges {\n node {\n lines {\n thumbnail(size: 540) {\n url\n }\n varia... | def test_orderline_query(staff_api_client, permission_manage_orders, fulfilled_order):
order = fulfilled_order
query =
line = order.lines.first()
metadata_key = "md key"
metadata_value = "md value"
line.store_value_in_private_metadata({metadata_key: metadata_value})
line.store_value_in_me... | |
52,612 | 209,122 | 370 | scapy/layers/inet.py | 132 | 28 | def in4_pseudoheader(proto, u, plen):
# type: (int, IP, int) -> bytes
if u.len is not None:
if u.ihl is None:
olen = sum(len(x) for x in u.options)
ihl = 5 + olen // 4 + (1 if olen % 4 else 0)
else:
ihl = u.ihl
ln = max(u.len - 4 * ihl, 0)
els... | Support TCP-MD5 and TCP-AO (#3358)
Support TCP-MD5 and TCP-AO | in4_pseudoheader | 20ac1d00389d0735e6d8cd1347f0a53f478144ba | scapy | inet.py | 14 | 24 | https://github.com/secdev/scapy.git | 10 | 182 | 0 | 95 | 302 | Python | {
"docstring": "IPv4 Pseudo Header as defined in RFC793 as bytes\n\n :param proto: value of upper layer protocol\n :param u: IP layer instance\n :param plen: the length of the upper layer and payload\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 31,
"vocab_size": 23
} | def in4_pseudoheader(proto, u, plen):
# type: (int, IP, int) -> bytes
if u.len is not None:
if u.ihl is None:
olen = sum(len(x) for x in u.options)
ihl = 5 + olen // 4 + (1 if olen % 4 else 0)
else:
ihl = u.ihl
ln = max(u.len - 4 * ihl, 0)
els... | |
35,399 | 153,405 | 270 | modin/core/storage_formats/base/doc_utils.py | 91 | 23 | def doc_resample_fillna(method, refer_to, params=None, overwrite_template_params=False):
action = f"fill missing values in each group in | REFACTOR-#4093: Refactor base to be smaller (#4220)
Signed-off-by: jeffreykennethli <jkli@ponder.io> | doc_resample_fillna | be9d382e35a9b87565499c029056afe1ddce6f37 | modin | doc_utils.py | 13 | 20 | https://github.com/modin-project/modin.git | 3 | 70 | 0 | 62 | 256 | Python | {
"docstring": "\n Build decorator which adds docstring for the resample fillna query compiler method.\n\n Parameters\n ----------\n method : str\n Fillna method name.\n refer_to : str\n Method name in ``modin.pandas.resample.Resampler`` module to refer to for\n more information ab... | def doc_resample_fillna(method, refer_to, params=None, overwrite_template_params=False):
action = f"fill missing values in each group independently using {method} method"
params_substitution = "limit : int\n"
if params:
params_substitution = (
params
if overwrite_templa... | |
14,730 | 68,154 | 9 | erpnext/utilities/transaction_base.py | 19 | 9 | def delete_events(ref_type, ref_name):
events = (
frappe.db.sql_list(
,
(ref_type, ref_name),
)
or []
)
if events:
frappe.delete_doc("Event", events, for_reload=True)
| style: format code with black | delete_events | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | transaction_base.py | 11 | 18 | https://github.com/frappe/erpnext.git | 3 | 44 | 0 | 18 | 69 | Python | {
"docstring": " SELECT\n\t\t\tdistinct `tabEvent`.name\n\t\tfrom\n\t\t\t`tabEvent`, `tabEvent Participants`\n\t\twhere\n\t\t\t`tabEvent`.name = `tabEvent Participants`.parent\n\t\t\tand `tabEvent Participants`.reference_doctype = %s\n\t\t\tand `tabEvent Participants`.reference_docname = %s\n\t\t",
"language": "en"... | def delete_events(ref_type, ref_name):
events = (
frappe.db.sql_list(
,
(ref_type, ref_name),
)
or []
)
if events:
frappe.delete_doc("Event", events, for_reload=True)
| |
31,990 | 140,519 | 115 | python/ray/serve/deployment_state.py | 39 | 9 | def check_started(self) -> ReplicaStartupStatus:
status, version = self._actor.check_ready()
if status == ReplicaStartupStatus.SUCCEEDED:
# Re-assign Depl | Clean up docstyle in python modules and add LINT rule (#25272) | check_started | 905258dbc19753c81039f993477e7ab027960729 | ray | deployment_state.py | 11 | 14 | https://github.com/ray-project/ray.git | 3 | 39 | 0 | 30 | 67 | Python | {
"docstring": "Check if the replica has started. If so, transition to RUNNING.\n\n Should handle the case where the replica has already stopped.\n\n Returns:\n status: Most recent state of replica by\n querying actor obj ref\n ",
"language": "en",
"n_whitespaces": 8... | def check_started(self) -> ReplicaStartupStatus:
status, version = self._actor.check_ready()
if status == ReplicaStartupStatus.SUCCEEDED:
# Re-assign DeploymentVersion if start / update / recover succeeded
# by reading re-computed version in RayServeReplica
... | |
110,202 | 311,537 | 164 | tests/components/homekit_controller/test_sensor.py | 44 | 15 | async def test_battery_low(hass, utcnow):
helper = await setup_test_component(
hass, create_battery_level_sensor, suffix="battery"
)
state = await helper.async_update( | Improve homekit_controller tests (#65266) | test_battery_low | 58b8c30221a6f6e5acbbe98b7e3298b03fb741f5 | core | test_sensor.py | 12 | 20 | https://github.com/home-assistant/core.git | 1 | 93 | 0 | 26 | 149 | Python | {
"docstring": "Test reading the state of a HomeKit battery's low state.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | async def test_battery_low(hass, utcnow):
helper = await setup_test_component(
hass, create_battery_level_sensor, suffix="battery"
)
state = await helper.async_update(
ServicesTypes.BATTERY_SERVICE,
{
CharacteristicsTypes.BATTERY_LEVEL: 1,
Characteristic... | |
20,496 | 101,059 | 59 | lib/model/loss/perceptual_loss_plaid.py | 24 | 13 | def _hyab(self, y_true, y_pred):
delta = y_true | Add Flip Loss Function
- Add Flip for AMD and TF
- Split Perceptual Loss functions to own modules
- Fix allowed input shape for models
- Allow GUI tooltip to display at higher width | _hyab | 582c2ce40c11ef235dd3f9100f70e1e2832f8dd3 | faceswap | perceptual_loss_plaid.py | 14 | 5 | https://github.com/deepfakes/faceswap.git | 1 | 65 | 0 | 20 | 97 | Python | {
"docstring": " Compute the HyAB distance between true and predicted images.\n\n Parameters\n ----------\n y_true: :class:`plaidml.tile.Value`\n The ground truth batch of images in standard or Hunt-adjusted L*A*B* color space\n y_pred: :class:`plaidml.tile.Value`\n T... | def _hyab(self, y_true, y_pred):
delta = y_true - y_pred
root = K.sqrt(K.clip(K.pow(delta[..., 0:1], 2), self._epsilon, None))
delta_norm = frobenius_norm(delta[..., 1:3])
return root + delta_norm
| |
7,862 | 43,199 | 231 | tests/cli/commands/test_db_command.py | 26 | 19 | def test_dry_run(self, run_cleanup_mock, dry_run_arg, expected):
args = self.parser.parse_args(
[
'db',
'clean',
'--clean-before-timestamp',
'2021-01-01',
*dry_run_arg,
]
)
db_command... | Don't rely on current ORM structure for db clean command (#23574)
For command DB clean, by not relying on the ORM models, we will be able to use the command even when the metadatabase is not yet upgraded to the version of Airflow you have installed.
Additionally we archive all rows before deletion. | test_dry_run | 95bd6b71cc9f5da377e272707f7b68000d980939 | airflow | test_db_command.py | 11 | 19 | https://github.com/apache/airflow.git | 1 | 74 | 0 | 25 | 116 | Python | {
"docstring": "\n When tz included in the string then default timezone should not be used.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 13,
"vocab_size": 13
} | def test_dry_run(self, run_cleanup_mock, dry_run_arg, expected):
args = self.parser.parse_args(
[
'db',
'clean',
'--clean-before-timestamp',
'2021-01-01',
*dry_run_arg,
]
)
db_command... | |
107,978 | 309,272 | 11 | homeassistant/components/homekit/util.py | 5 | 5 | def async_dismiss_setup_message(hass, entry_id):
| Import persistent notification (part 3) (#63900) | async_dismiss_setup_message | 2eab3c8de1fd80a8f1456fd97389ca687c11ecb7 | core | util.py | 7 | 2 | https://github.com/home-assistant/core.git | 1 | 16 | 0 | 5 | 27 | Python | {
"docstring": "Dismiss persistent notification and remove QR code.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | def async_dismiss_setup_message(hass, entry_id):
persistent_notification.async_dismiss(hass, entry_id)
| |
50,294 | 203,309 | 139 | django/apps/registry.py | 33 | 16 | def get_containing_app_config(self, object_name):
self.check_apps_ready()
candidates = []
for app_config in self.app_configs.values():
if object_name.startswith(app_config.name):
subpath = object_name[len(app_config.name) :]
if subpath == "" o... | Refs #33476 -- Reformatted code with Black. | get_containing_app_config | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | registry.py | 16 | 10 | https://github.com/django/django.git | 6 | 92 | 0 | 28 | 152 | Python | {
"docstring": "\n Look for an app config containing a given object.\n\n object_name is the dotted Python path to the object.\n\n Return the app config for the inner application in case of nesting.\n Return None if the object isn't in any registered app config.\n ",
"language": "e... | def get_containing_app_config(self, object_name):
self.check_apps_ready()
candidates = []
for app_config in self.app_configs.values():
if object_name.startswith(app_config.name):
subpath = object_name[len(app_config.name) :]
if subpath == "" o... | |
82,926 | 279,328 | 158 | keras/engine/base_layer.py | 28 | 15 | def _track_variables(self, value):
for val in tf.nest.flatten(value):
if isinstance(val, tf.Variable):
self._track_variable(val)
elif tf_utils.is_extension_type(val):
# Manually expand extension types to track resource variables.
n... | Prepare keras for making ResourceVariables as CompositeTensors.
We are going to let ResourceVariable be a subclass of CompositeTensor. Changes in this CL are necessary to not break existing code.
Specifically, to track resource variables embedded in composite tensors, we will need to manually expand composite tensors... | _track_variables | 102ab667f513956d89f55f2f9480b9cdc5372eef | keras | base_layer.py | 15 | 9 | https://github.com/keras-team/keras.git | 4 | 63 | 0 | 27 | 103 | Python | {
"docstring": "Tracks `Variable`s including `Variable`s in `CompositeTensor`s.",
"language": "en",
"n_whitespaces": 5,
"n_words": 6,
"vocab_size": 5
} | def _track_variables(self, value):
for val in tf.nest.flatten(value):
if isinstance(val, tf.Variable):
self._track_variable(val)
elif tf_utils.is_extension_type(val):
# Manually expand extension types to track resource variables.
n... | |
45,489 | 186,573 | 386 | certbot-apache/certbot_apache/_internal/configurator.py | 111 | 30 | def _create_vhost_v2(self, node):
addrs = set()
for param in node.parameters:
addr = obj.Addr.fromstring(param)
if addr:
addrs.add(addr)
is_ssl = False
# Exclusion to match the behavior in get_virtual_hosts_v2
sslengine = node.fin... | Fully type certbot-nginx module (#9124)
* Work in progress
* Fix type
* Work in progress
* Work in progress
* Work in progress
* Work in progress
* Work in progress
* Oups.
* Fix typing in UnspacedList
* Fix logic
* Finish typing
* List certbot-nginx as fully typed in tox
* Fix lint... | _create_vhost_v2 | 16aad35d31a887dab157f9d4f5e0fe9218d06064 | certbot | configurator.py | 14 | 25 | https://github.com/certbot/certbot.git | 9 | 159 | 0 | 76 | 259 | Python | {
"docstring": "Used by get_virtual_hosts_v2 to create vhost objects using ParserNode\n interfaces.\n :param interfaces.BlockNode node: The BlockNode object of VirtualHost block\n :returns: newly created vhost\n :rtype: :class:`~certbot_apache.obj.VirtualHost`\n ",
"language": "en... | def _create_vhost_v2(self, node):
addrs = set()
for param in node.parameters:
addr = obj.Addr.fromstring(param)
if addr:
addrs.add(addr)
is_ssl = False
# Exclusion to match the behavior in get_virtual_hosts_v2
sslengine = node.fin... | |
13,203 | 63,204 | 710 | .venv/lib/python3.8/site-packages/pip/_vendor/pkg_resources/__init__.py | 154 | 24 | def insert_on(self, path, loc=None, replace=False):
loc = loc or self.location
if not loc:
return
nloc = _normalize_cached(loc)
bdir = os.path.dirname(nloc)
npath = [(p and _normalize_cached(p) or p) for p in path]
fo | upd; format | insert_on | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | __init__.py | 14 | 38 | https://github.com/jindongwang/transferlearning.git | 18 | 210 | 0 | 96 | 343 | Python | {
"docstring": "Ensure self.location is on path\n\n If replace=False (default):\n - If location is already in path anywhere, do nothing.\n - Else:\n - If it's an egg and its parent directory is on path,\n insert just ahead of the parent.\n - Else: ... | def insert_on(self, path, loc=None, replace=False):
loc = loc or self.location
if not loc:
return
nloc = _normalize_cached(loc)
bdir = os.path.dirname(nloc)
npath = [(p and _normalize_cached(p) or p) for p in path]
for p, item in enumerate(npath):
... | |
@add_start_docstrings(
"""
The XGLM Model transformer with a language modeling head on top (linear layer with weights tied to the input
embeddings).
""",
XGLM_START_DOCSTRING,
) | 6,060 | 33,107 | 187 | src/transformers/models/xglm/modeling_tf_xglm.py | 47 | 22 | def serving_output(self, output):
pkv = tf.convert_to_tensor(output.past_key_values) if self.config.use_cache else None
hs = tf.convert_to_tensor(output.hidden_states) if self.config.output_hidden_states else None
attns = tf.convert_to_tensor(output.attentions) if self.config.output_attentions e... | Add TF implementation of `XGLMModel` (#16543)
* Add TFXGLM models
* Add todo: self.supports_xla_generation = False
Co-authored-by: Daniel Stancl <stancld@Daniels-MacBook-Pro.local>
Co-authored-by: Daniel Stancl <stancld@daniels-mbp.home>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-aut... | serving_output | c72d7d91bf4899760725793421eff9da640c8527 | transformers | modeling_tf_xglm.py | 11 | 16 | https://github.com/huggingface/transformers.git | 6 | 113 | 1 | 32 | 180 | Python | {
"docstring": "\n The XGLM Model transformer with a language modeling head on top (linear layer with weights tied to the input\n embeddings).\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 20,
"vocab_size": 19
} | def serving_output(self, output):
pkv = tf.convert_to_tensor(output.past_key_values) if self.config.use_cache else None
hs = tf.convert_to_tensor(output.hidden_states) if self.config.output_hidden_states else None
attns = tf.convert_to_tensor(output.attentions) if self.config.output_attentions e... |
36,047 | 154,524 | 124 | modin/core/execution/ray/implementations/cudf_on_ray/partitioning/partition_manager.py | 30 | 15 | def _apply_func_to_list_of_partitions(cls, func, partitions, **kwargs):
preprocessed_map_func = cls.preprocess_func(func)
key_futures = RayWrapper.materialize(
[
partition.apply(preprocessed_map_func, **kwargs)
for partition in partitions
... | REFACTOR-#5009: use RayWrapper.materialize instead of ray.get (#5010)
Signed-off-by: Myachev <anatoly.myachev@intel.com> | _apply_func_to_list_of_partitions | 1dc16415333bf2428ee2b1f4d31ff94e66b9a0a6 | modin | partition_manager.py | 12 | 10 | https://github.com/modin-project/modin.git | 3 | 65 | 0 | 25 | 100 | Python | {
"docstring": "\n Apply `func` to a list of remote partitions from `partitions`.\n\n Parameters\n ----------\n func : callable\n The function to apply.\n partitions : np.ndarray\n NumPy array with partitions.\n **kwargs : dict\n Additional ke... | def _apply_func_to_list_of_partitions(cls, func, partitions, **kwargs):
preprocessed_map_func = cls.preprocess_func(func)
key_futures = RayWrapper.materialize(
[
partition.apply(preprocessed_map_func, **kwargs)
for partition in partitions
... | |
31,884 | 140,169 | 43 | python/ray/serve/deployment_function_executor_node.py | 11 | 9 | def _execute_impl(self, *args, **kwargs) -> ObjectRef:
return self._deployment_function_handle.remote(
* | [Serve][Deployment Graph][Perf] Add minimal executor DAGNode (#24754)
closes #24475
Current deployment graph has big perf issues compare with using plain deployment handle, mostly because overhead of DAGNode traversal mechanism. We need this mechanism to empower DAG API, specially deeply nested objects in args wher... | _execute_impl | f27e85cd7df5ca2873ef6231200a1530e16ac35d | ray | deployment_function_executor_node.py | 9 | 10 | https://github.com/ray-project/ray.git | 1 | 31 | 0 | 11 | 50 | Python | {
"docstring": "Executor of DeploymentNode getting called each time on dag.execute.\n\n The execute implementation is recursive, that is, the method nodes will\n receive whatever this method returns. We return a handle here so method\n node can directly call upon.\n ",
"language": "en",
... | def _execute_impl(self, *args, **kwargs) -> ObjectRef:
return self._deployment_function_handle.remote(
*self._bound_args, **self._bound_kwargs
)
| |
@keras_export('keras.utils.load_img', 'keras.preprocessing.image.load_img') | 79,779 | 268,948 | 81 | keras/preprocessing/image.py | 51 | 18 | def save_img(path, x, data_format=None, file_format=None, scale=True, **kwargs):
if data_format is None:
data_format = backend.image_data_format()
img = array_to_img(x, data_format=data_format, scale=scale)
if img.mode == 'RGBA' and (file_format == 'jpg' or file_format == 'jpeg'):
warnings.warn('The JP... | Copy image utils from keras_preprocessing directly into core keras
This is not new code, we are just moving these utilities directly
into keras from keras-preprocessing.
For the library code, just fixed linting errors.
For the test code, had to do more major changes to port from pytest, but
hopefully any errors have ... | save_img | 373ad97c72ed1ac4b6898e85b2cfd7b016e4b469 | keras | image.py | 11 | 9 | https://github.com/keras-team/keras.git | 5 | 94 | 1 | 44 | 171 | Python | {
"docstring": "Saves an image stored as a Numpy array to a path or file object.\n\n Args:\n path: Path or file object.\n x: Numpy array.\n data_format: Image data format, either \"channels_first\" or\n \"channels_last\".\n file_format: Optional file format override. If omitted, the format... | def save_img(path, x, data_format=None, file_format=None, scale=True, **kwargs):
if data_format is None:
data_format = backend.image_data_format()
img = array_to_img(x, data_format=data_format, scale=scale)
if img.mode == 'RGBA' and (file_format == 'jpg' or file_format == 'jpeg'):
warnings.warn('The JP... |
15,900 | 72,483 | 239 | wagtail/admin/views/pages/edit.py | 61 | 14 | def log_commenting_changes(self, changes, revision):
for comment in changes["new_comments"]:
comment.log_create(page_revision=revision, user=self.request.user)
for comment in changes["edited_comments"]:
comment.log_edit(page_revision=revision, user=self.request.user)
... | Reformat with black | log_commenting_changes | d10f15e55806c6944827d801cd9c2d53f5da4186 | wagtail | edit.py | 14 | 18 | https://github.com/wagtail/wagtail.git | 11 | 199 | 0 | 26 | 306 | Python | {
"docstring": "\n Generates log entries for any changes made to comments or replies.\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 11,
"vocab_size": 11
} | def log_commenting_changes(self, changes, revision):
for comment in changes["new_comments"]:
comment.log_create(page_revision=revision, user=self.request.user)
for comment in changes["edited_comments"]:
comment.log_edit(page_revision=revision, user=self.request.user)
... | |
23,015 | 108,011 | 201 | lib/matplotlib/patches.py | 76 | 20 | def __new__(cls, stylename, **kwargs):
# The "class" should have the _style_list attribute, which is a mapping
# of style names to style classes.
_list = stylename.replace(" ", "").split(",")
_name = _list[0].lower()
try:
_cls = cls._style_list[_name]
... | Small style fixes. | __new__ | 075ff0952896f44d7d0b0b3318f0978ae53f84d7 | matplotlib | patches.py | 12 | 13 | https://github.com/matplotlib/matplotlib.git | 5 | 120 | 0 | 59 | 208 | Python | {
"docstring": "Return the instance of the subclass with the given style name.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 9
} | def __new__(cls, stylename, **kwargs):
# The "class" should have the _style_list attribute, which is a mapping
# of style names to style classes.
_list = stylename.replace(" ", "").split(",")
_name = _list[0].lower()
try:
_cls = cls._style_list[_name]
... | |
81,916 | 277,252 | 369 | keras/engine/base_layer.py | 93 | 14 | def losses(self):
collected_losses = []
for layer in self._flatten_layers():
# If any eager losses are present, we assume the model to be part of
# an eager training loop (either a custom one or the one used when
# `run_eagerly=True`) and so we always return ... | reduct too long lines | losses | fa6d9107a498f7c2403ff28c7b389a1a0c5cc083 | keras | base_layer.py | 14 | 16 | https://github.com/keras-team/keras.git | 6 | 83 | 0 | 71 | 140 | Python | {
"docstring": "List of losses added using the `add_loss()` API.\n\n Variable regularization tensors are created when this property is\n accessed, so it is eager safe: accessing `losses` under a\n `tf.GradientTape` will propagate gradients back to the corresponding\n variables.\n\n ... | def losses(self):
collected_losses = []
for layer in self._flatten_layers():
# If any eager losses are present, we assume the model to be part of
# an eager training loop (either a custom one or the one used when
# `run_eagerly=True`) and so we always return ... | |
76,442 | 260,724 | 310 | sklearn/linear_model/_least_angle.py | 71 | 32 | def fit(self, X, y, Xy=None):
self._validate_params()
X, y = self._validate_data(X, y, y_numeric=True, multi_output=True)
_normalize = _deprecate_normalize(
self.normalize, default=True, estimator_name=self.__class__.__name__
)
alpha = getattr(self, "alp | MAINT Parameter Validation for Lars, LarsCV, LassoLars, LassoLarsCV and LassoLarsIC (#24033)
Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> | fit | 6c0e0b2e4723d11e29057635c7061a36bc1a8512 | scikit-learn | _least_angle.py | 13 | 26 | https://github.com/scikit-learn/scikit-learn.git | 3 | 169 | 0 | 52 | 251 | Python | {
"docstring": "Fit the model using X, y as training data.\n\n Parameters\n ----------\n X : array-like of shape (n_samples, n_features)\n Training data.\n\n y : array-like of shape (n_samples,) or (n_samples, n_targets)\n Target values.\n\n Xy : array-like of ... | def fit(self, X, y, Xy=None):
self._validate_params()
X, y = self._validate_data(X, y, y_numeric=True, multi_output=True)
_normalize = _deprecate_normalize(
self.normalize, default=True, estimator_name=self.__class__.__name__
)
alpha = getattr(self, "alpha... | |
10,055 | 50,226 | 363 | modules/image/text_to_image/disco_diffusion_ernievil_base/vit_b_16x/ernievil2/transformers/efficientnet.py | 73 | 26 | def _decode_block_string(block_string):
assert isinstance(block_string, str)
ops = block_string.split('_')
options = {}
for op in ops:
splits = re.split(r'(\d.*)', op)
if len(splits) >= 2:
key, value = splits[:2]
options[k... | add disco_diffusion_ernievil_base | _decode_block_string | ffcde21305c61d950a9f93e57e6180c9a9665b87 | PaddleHub | efficientnet.py | 14 | 20 | https://github.com/PaddlePaddle/PaddleHub.git | 7 | 213 | 0 | 56 | 348 | Python | {
"docstring": " Gets a block through a string notation of arguments. ",
"language": "en",
"n_whitespaces": 10,
"n_words": 9,
"vocab_size": 8
} | def _decode_block_string(block_string):
assert isinstance(block_string, str)
ops = block_string.split('_')
options = {}
for op in ops:
splits = re.split(r'(\d.*)', op)
if len(splits) >= 2:
key, value = splits[:2]
options[k... | |
38,543 | 160,171 | 17 | numpy/lib/function_base.py | 12 | 5 | def copy(a, order='K', subok=False):
return | Improve documentation formatting | copy | 0307f89d48368a39ed97a252f9faed3c7bf64446 | numpy | function_base.py | 8 | 2 | https://github.com/numpy/numpy.git | 1 | 31 | 0 | 12 | 49 | Python | {
"docstring": "\n Return an array copy of the given object.\n\n Parameters\n ----------\n a : array_like\n Input data.\n order : {'C', 'F', 'A', 'K'}, optional\n Controls the memory layout of the copy. 'C' means C-order,\n 'F' means F-order, 'A' means 'F' if `a` is Fortran contigu... | def copy(a, order='K', subok=False):
return array(a, order=order, subok=subok, copy=True)
# Basic operations
| |
31,769 | 139,754 | 13 | python/ray/data/tests/test_context_propagation.py | 7 | 4 | def test_context_placement_group():
driver_code =
proc = run_string_as_driver_no | [Datasets] Add explicit resource allocation option via a top-level scheduling strategy (#24438)
Instead of letting Datasets implicitly use cluster resources in the margins of explicit allocations of other libraries, such as Tune, Datasets should provide an option for explicitly allocating resources for a Datasets work... | test_context_placement_group | 68d4dd3a8b2defa5549cfa70e59aa26f2d4825a3 | ray | test_context_propagation.py | 8 | 30 | https://github.com/ray-project/ray.git | 1 | 23 | 0 | 6 | 27 | Python | {
"docstring": "\nimport ray\nfrom ray.data.context import DatasetContext\nfrom ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy\nfrom ray._private.test_utils import placement_group_assert_no_leak\n\nray.init(num_cpus=1)\n\ncontext = DatasetContext.get_current()\n# This placement group will take... | def test_context_placement_group():
driver_code =
proc = run_string_as_driver_nonblocking(driver_code)
| |
40,576 | 170,562 | 83 | pandas/core/arrays/categorical.py | 25 | 9 | def reorder_categories(self, new_categories, ordered=None):
if set(self.dtype.categories) != set(new_categories):
raise ValueError(
"items in new_categories are not the same as in old categories"
)
return self.set_categories(new_categories, ordered=ordere... | DEPR: remove inplace arg in Categorical methods (#49321)
* deprecate inplace arg in categorical methods
* fix tests
* add back test
* doc fix
* doc fixes
* avoid constructing new objects on every iteration
* cleanup | reorder_categories | ab6562a20bd894d02fb28675809698d5be0436f9 | pandas | categorical.py | 10 | 6 | https://github.com/pandas-dev/pandas.git | 2 | 43 | 0 | 24 | 70 | Python | {
"docstring": "\n Reorder categories as specified in new_categories.\n\n `new_categories` need to include all old categories and no new category\n items.\n\n Parameters\n ----------\n new_categories : Index-like\n The categories in new order.\n ordered : boo... | def reorder_categories(self, new_categories, ordered=None):
if set(self.dtype.categories) != set(new_categories):
raise ValueError(
"items in new_categories are not the same as in old categories"
)
return self.set_categories(new_categories, ordered=ordere... | |
71,391 | 246,887 | 361 | tests/rest/client/test_rooms.py | 150 | 17 | def test_get_member_list_no_permission_former_member_with_at_token(self):
# create a room, invite the user and the user joins
room_id = self.helper.create_room_as("@alice:red")
self.helper.invite(room_id, "@alice:red", self.user_id)
self.helper.join(room_id, self.user_id)
... | Replace assertEquals and friends with non-deprecated versions. (#12092) | test_get_member_list_no_permission_former_member_with_at_token | 02d708568b476f2f7716000b35c0adfa4cbd31b3 | synapse | test_rooms.py | 10 | 21 | https://github.com/matrix-org/synapse.git | 1 | 206 | 0 | 78 | 351 | Python | {
"docstring": "\n Tests that a former member of the room can not get the member list\n (in the case that they use an at token).\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 23,
"vocab_size": 19
} | def test_get_member_list_no_permission_former_member_with_at_token(self):
# create a room, invite the user and the user joins
room_id = self.helper.create_room_as("@alice:red")
self.helper.invite(room_id, "@alice:red", self.user_id)
self.helper.join(room_id, self.user_id)
... | |
56,599 | 222,501 | 45 | python3.10.4/Lib/difflib.py | 22 | 8 | def _keep_original_ws(s, tag_s):
return ''.join(
c if tag_c == " " and c.isspace() else tag_c
for c, tag_c in zip(s, tag_s)
)
| add python 3.10.4 for windows | _keep_original_ws | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | difflib.py | 11 | 5 | https://github.com/XX-net/XX-Net.git | 4 | 38 | 0 | 19 | 63 | Python | {
"docstring": "Replace whitespace with the original whitespace characters in `s`",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 8
} | def _keep_original_ws(s, tag_s):
return ''.join(
c if tag_c == " " and c.isspace() else tag_c
for c, tag_c in zip(s, tag_s)
)
| |
23,150 | 108,343 | 21 | lib/matplotlib/cm.py | 9 | 6 | def unregister_cmap(name):
cmap = _colormaps.get(name, None)
_colormaps.unregister(name)
return cmap
| MNT: Remove cmap_d colormap access | unregister_cmap | fb902f735995372f345a8333804f5c6052f29770 | matplotlib | cm.py | 8 | 4 | https://github.com/matplotlib/matplotlib.git | 1 | 24 | 0 | 8 | 41 | Python | {
"docstring": "\n Remove a colormap recognized by :func:`get_cmap`.\n\n You may not remove built-in colormaps.\n\n If the named colormap is not registered, returns with no error, raises\n if you try to de-register a default colormap.\n\n .. warning::\n\n Colormap names are currently a shared name... | def unregister_cmap(name):
cmap = _colormaps.get(name, None)
_colormaps.unregister(name)
return cmap
| |
22,017 | 104,902 | 116 | src/datasets/utils/streaming_download_manager.py | 53 | 15 | def _get_extraction_protocol_with_magic_number(f) -> Optional[str]:
magic_number = f.read(MAGIC_NUMBER_MAX_LENGTH)
f.seek(0)
for i in range(MAGIC_NUMBER_MAX_LENGTH):
compression = MAGIC_NUMBER_TO_COMPRESSION_PROTOCOL.get(magic_number[: MAGIC_NUMBER_MAX_LENGTH - i])
if compression is not... | don't check f.loc in _get_extraction_protocol_with_magic_number (#4318) | _get_extraction_protocol_with_magic_number | 17fd2ea68cf75b36369a9f018497875e292db26a | datasets | streaming_download_manager.py | 13 | 11 | https://github.com/huggingface/datasets.git | 4 | 81 | 0 | 36 | 135 | Python | {
"docstring": "read the magic number from a file-like object and return the compression protocol",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 12
} | def _get_extraction_protocol_with_magic_number(f) -> Optional[str]:
magic_number = f.read(MAGIC_NUMBER_MAX_LENGTH)
f.seek(0)
for i in range(MAGIC_NUMBER_MAX_LENGTH):
compression = MAGIC_NUMBER_TO_COMPRESSION_PROTOCOL.get(magic_number[: MAGIC_NUMBER_MAX_LENGTH - i])
if compression is not... | |
54,275 | 215,953 | 322 | salt/modules/lxc.py | 118 | 22 | def _get_veths(net_data):
if isinstance(net_data, dict):
net_data = list(net_data.items())
nics = salt.utils.odict.OrderedDict()
current_nic = salt.utils.odict.OrderedDict()
no_names = True
for item in net_data:
if item and isinstance(item, dict):
item = list(item.it... | Update to latest ``pyupgrade`` hook. Stop skipping it on CI.
Signed-off-by: Pedro Algarvio <palgarvio@vmware.com> | _get_veths | f2a783643de61cac1ff3288b40241e5ce6e1ddc8 | salt | lxc.py | 20 | 24 | https://github.com/saltstack/salt.git | 14 | 206 | 0 | 74 | 342 | Python | {
"docstring": "\n Parse the nic setup inside lxc conf tuples back to a dictionary indexed by\n network interface\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 16,
"vocab_size": 16
} | def _get_veths(net_data):
if isinstance(net_data, dict):
net_data = list(net_data.items())
nics = salt.utils.odict.OrderedDict()
current_nic = salt.utils.odict.OrderedDict()
no_names = True
for item in net_data:
if item and isinstance(item, dict):
item = list(item.it... | |
24,799 | 112,957 | 42 | nni/runtime/log.py | 17 | 10 | def start_stdout_logging() -> None:
if '_stdout_' in _handlers:
return
| Logging refactor (step 1) - experiment handlers (#4792) | start_stdout_logging | 4feab0e34b490500b06efd6e7e8a34d686702c2f | nni | log.py | 9 | 14 | https://github.com/microsoft/nni.git | 2 | 41 | 0 | 15 | 75 | Python | {
"docstring": "\n Register the stdout handler.\n\n This function should be invoked on importing nni.\n\n It is safe to call it multiple times.\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 20,
"vocab_size": 20
} | def start_stdout_logging() -> None:
if '_stdout_' in _handlers:
return
handler = StreamHandler(sys.stdout)
handler.setFormatter(_StdoutFormatter())
_handlers['_stdout_'] = handler
_root_logger.addHandler(handler)
| |
@frappe.whitelist() | 14,109 | 66,146 | 14 | erpnext/hr/doctype/job_offer/job_offer.py | 22 | 12 | def get_staffing_plan_detail(designation, company, offer_date):
detail = frappe.db.sql(
,
(designation, company, offer_date),
as_dict=1,
)
return frappe._dict(detail[0]) if (detail and detail[0].parent) else None
@frappe.whitelist() | style: format code with black | get_staffing_plan_detail | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | job_offer.py | 10 | 21 | https://github.com/frappe/erpnext.git | 3 | 55 | 1 | 21 | 90 | Python | {
"docstring": "\n\t\tSELECT DISTINCT spd.parent,\n\t\t\tsp.from_date as from_date,\n\t\t\tsp.to_date as to_date,\n\t\t\tsp.name,\n\t\t\tsum(spd.vacancies) as vacancies,\n\t\t\tspd.designation\n\t\tFROM `tabStaffing Plan Detail` spd, `tabStaffing Plan` sp\n\t\tWHERE\n\t\t\tsp.docstatus=1\n\t\t\tAND spd.designation=%s... | def get_staffing_plan_detail(designation, company, offer_date):
detail = frappe.db.sql(
,
(designation, company, offer_date),
as_dict=1,
)
return frappe._dict(detail[0]) if (detail and detail[0].parent) else None
@frappe.whitelist() |
71,912 | 247,777 | 217 | tests/push/test_push_rule_evaluator.py | 94 | 8 | def test_display_name(self) -> None:
evaluator = self._get_evaluator({"body": "foo bar baz"})
condition = {
"kind": "contains_display_name",
}
# Blank names are skipped.
self.assertFalse(evaluator.matches(condition, "@user:test", ""))
# Check a dis... | Add type hints to tests files. (#12256) | test_display_name | 9d21ecf7ceab55bc19c4457b8b07401b0b1623a7 | synapse | test_push_rule_evaluator.py | 11 | 12 | https://github.com/matrix-org/synapse.git | 1 | 118 | 0 | 58 | 217 | Python | {
"docstring": "Check for a matching display name in the body of the event.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 11
} | def test_display_name(self) -> None:
evaluator = self._get_evaluator({"body": "foo bar baz"})
condition = {
"kind": "contains_display_name",
}
# Blank names are skipped.
self.assertFalse(evaluator.matches(condition, "@user:test", ""))
# Check a dis... | |
54,176 | 215,784 | 33 | tests/pytests/functional/modules/file/test_readlink.py | 17 | 11 | def test_readlink_not_a_link(file, source):
with pytest.raises(Salt | Add some funtional tests
Add functional tests for the following:
- file.readlink
- file.replace
- file.symlink
Remove unit tests for file.replace as they are duplicated in the added
functional test | test_readlink_not_a_link | a35b29b2651bf33c5d5b45e64bc7765ffde4aff4 | salt | test_readlink.py | 10 | 4 | https://github.com/saltstack/salt.git | 1 | 34 | 0 | 17 | 61 | Python | {
"docstring": "\n Test readlink where the path is not a link\n Should throw a SaltInvocationError\n ",
"language": "en",
"n_whitespaces": 23,
"n_words": 13,
"vocab_size": 12
} | def test_readlink_not_a_link(file, source):
with pytest.raises(SaltInvocationError) as exc:
file.readlink(path=source)
assert "A valid link was not specified" in exc.value.message
| |
14,660 | 67,910 | 76 | erpnext/stock/report/stock_analytics/stock_analytics.py | 106 | 21 | def get_periodic_data(entry, filters):
periodic_data = {}
for d in entry:
period = get_period(d.posting_date, filters)
bal_qty = 0
# if period against item does not exist yet, instantiate it
# insert existing balance dict against period, and add/subtract to it
if periodic_data.get(d.item_code) and not pe... | style: format code with black | get_periodic_data | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | stock_analytics.py | 17 | 27 | https://github.com/frappe/erpnext.git | 8 | 274 | 0 | 67 | 435 | Python | {
"docstring": "Structured as:\n\tItem 1\n\t - Balance (updated and carried forward):\n\t - Warehouse A : bal_qty/value\n\t - Warehouse B : bal_qty/value\n\t - Jun 2021 (sum of warehouse quantities used in report)\n\t - Warehouse A : b... | def get_periodic_data(entry, filters):
periodic_data = {}
for d in entry:
period = get_period(d.posting_date, filters)
bal_qty = 0
# if period against item does not exist yet, instantiate it
# insert existing balance dict against period, and add/subtract to it
if periodic_data.get(d.item_code) and not pe... | |
76,516 | 260,817 | 27 | sklearn/utils/__init__.py | 11 | 6 | def shuffle(*arrays, random_state=None, n_samples=None):
return resample(
*arrays, replace=False, n_samples=n_samples, random_state=random_state
)
| DOC ensures sklearn.utils.shuffle passes numpydoc validation (#24367)
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> | shuffle | 49279c3267c0c54cdba80a571820c46f25fbe883 | scikit-learn | __init__.py | 8 | 4 | https://github.com/scikit-learn/scikit-learn.git | 1 | 33 | 0 | 11 | 50 | Python | {
"docstring": "Shuffle arrays or sparse matrices in a consistent way.\n\n This is a convenience alias to ``resample(*arrays, replace=False)`` to do\n random permutations of the collections.\n\n Parameters\n ----------\n *arrays : sequence of indexable data-structures\n Indexable data-structures... | def shuffle(*arrays, random_state=None, n_samples=None):
return resample(
*arrays, replace=False, n_samples=n_samples, random_state=random_state
)
| |
78,567 | 266,763 | 483 | test/lib/ansible_test/_internal/commands/sanity/integration_aliases.py | 118 | 45 | def check_changes(self, args, results): # type: (SanityConfig, Results) -> None
integration_targets = list(walk_integration_targets())
module_targets = list(walk_module_targets())
integration_targets_by_name = dict((target.name, target) for target in integration_targets)
modul... | ansible-test - Code cleanup and refactoring. (#77169)
* Remove unnecessary PyCharm ignores.
* Ignore intentional undefined attribute usage.
* Add missing type hints. Fix existing type hints.
* Fix docstrings and comments.
* Use function to register completion handler.
* Pass strings to display functions.
* Fix C... | check_changes | a06fa496d3f837cca3c437ab6e9858525633d147 | ansible | integration_aliases.py | 14 | 36 | https://github.com/ansible/ansible.git | 14 | 298 | 0 | 76 | 456 | Python | {
"docstring": "Check changes and store results in the provided result dictionary.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | def check_changes(self, args, results): # type: (SanityConfig, Results) -> None
integration_targets = list(walk_integration_targets())
module_targets = list(walk_module_targets())
integration_targets_by_name = dict((target.name, target) for target in integration_targets)
modul... | |
42,449 | 177,582 | 377 | label_studio/tests/test_next_task.py | 122 | 42 | def test_overlap_first(business_client, setup_before_upload, show_overlap_first):
c = business_client
config = dict(
title='test_overlap_first',
| fix: DEV-1348: Fix _rearrange_overlap_cohort filter condition for overlap bulk update with concurrent import (#1844)
* [fix] Rearrange overlap depending in annotations count
* Fix next task test for not random overlap assignment
* Delete unused method
* Rename rearrange method to have back compatibility
* ... | test_overlap_first | 35125cca12ba1e8703c4284894e4e2db44ce7009 | label-studio | test_next_task.py | 17 | 63 | https://github.com/heartexlabs/label-studio.git | 8 | 396 | 0 | 84 | 474 | Python | {
"docstring": "\n <View>\n <Text name=\"text\" value=\"$text\"></Text>\n <Choices name=\"text_class\" choice=\"single\">\n <Choice value=\"class_A\"></Choice>\n <Choice value=\"class_B\"></Choice>\n </Choices>\n </View>",
"l... | def test_overlap_first(business_client, setup_before_upload, show_overlap_first):
c = business_client
config = dict(
title='test_overlap_first',
is_published=True,
maximum_annotations=1,
show_overlap_first=show_overlap_first,
sampling="Uniform sampling",
label_con... | |
76,710 | 261,252 | 136 | sklearn/utils/extmath.py | 54 | 15 | def svd_flip(u, v, u_based_decision=True):
if u_based_decision:
# columns of u, rows of v
max_abs_cols = np.argmax(np.abs(u), axis=0)
signs = np.sign(u[max_abs_cols, range(u.shape[1])])
u *= signs
v *= signs[:, np.newaxis]
else:
# rows of v, columns of u
... | DOC Ensures that svd_flip passes numpydoc validation (#24581)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> | svd_flip | 97057d329da1786aa03206251aab68bf51312390 | scikit-learn | extmath.py | 16 | 12 | https://github.com/scikit-learn/scikit-learn.git | 2 | 127 | 0 | 30 | 191 | Python | {
"docstring": "Sign correction to ensure deterministic output from SVD.\n\n Adjusts the columns of u and the rows of v such that the loadings in the\n columns in u that are largest in absolute value are always positive.\n\n Parameters\n ----------\n u : ndarray\n Parameters u and v are the outp... | def svd_flip(u, v, u_based_decision=True):
if u_based_decision:
# columns of u, rows of v
max_abs_cols = np.argmax(np.abs(u), axis=0)
signs = np.sign(u[max_abs_cols, range(u.shape[1])])
u *= signs
v *= signs[:, np.newaxis]
else:
# rows of v, columns of u
... | |
31,802 | 139,905 | 118 | rllib/policy/tf_policy.py | 36 | 13 | def extra_action_out_fn(self) -> Dict[str, TensorType]:
extra_fetches = {}
# Action-logp and action-prob.
if self._sampled_action_logp is not None:
extra_fetches | [RLlib] Migrate MAML, MB-MPO, MARWIL, and BC to use Policy sub-classing implementation. (#24914) | extra_action_out_fn | d5a6d46049d0ea0490c90366a081de79a87d0fac | ray | tf_policy.py | 10 | 17 | https://github.com/ray-project/ray.git | 3 | 65 | 0 | 25 | 103 | Python | {
"docstring": "Extra values to fetch and return from compute_actions().\n\n By default we return action probability/log-likelihood info\n and action distribution inputs (if present).\n\n Returns:\n Dict[str, TensorType]: An extra fetch-dict to be passed to and\n return... | def extra_action_out_fn(self) -> Dict[str, TensorType]:
extra_fetches = {}
# Action-logp and action-prob.
if self._sampled_action_logp is not None:
extra_fetches[SampleBatch.ACTION_PROB] = self._sampled_action_prob
extra_fetches[SampleBatch.ACTION_LOGP] = self._s... | |
8,562 | 45,432 | 733 | airflow/jobs/triggerer_job.py | 162 | 24 | async def cleanup_finished_triggers(self):
for trigger_id, details in list(self.triggers.items()):
if details["task"].done():
# Check to see if it exited for | Log traceback in trigger excs (#21213) | cleanup_finished_triggers | 4ad21f5f7c2d416cf813a860564bc2bf3e161d46 | airflow | triggerer_job.py | 18 | 25 | https://github.com/apache/airflow.git | 7 | 160 | 0 | 116 | 275 | Python | {
"docstring": "\n Go through all trigger tasks (coroutines) and clean up entries for\n ones that have exited, optionally warning users if the exit was\n not normal.\n ",
"language": "en",
"n_whitespaces": 53,
"n_words": 24,
"vocab_size": 24
} | async def cleanup_finished_triggers(self):
for trigger_id, details in list(self.triggers.items()):
if details["task"].done():
# Check to see if it exited for good reasons
saved_exc = None
try:
result = details["task"].resul... | |
30,145 | 133,910 | 89 | rllib/contrib/sumo/utils.py | 26 | 8 | def get_global_travel_time(self):
gtt = 0
for entity in self.tripinfo:
gtt += self.get_duration(entity, default=0.0 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | get_global_travel_time | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | utils.py | 11 | 7 | https://github.com/ray-project/ray.git | 3 | 53 | 0 | 17 | 79 | Python | {
"docstring": "\n Returns the global travel time computed from SUMO tripinfo data.\n\n The functions process_tripinfo_file() needs to be called in advance\n to initialize the data structures required.\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 25,
"vocab_size": 23
} | def get_global_travel_time(self):
gtt = 0
for entity in self.tripinfo:
gtt += self.get_duration(entity, default=0.0)
for entity in self.personinfo:
gtt += self.get_duration(entity, default=0.0)
return gtt
#############################################... | |
4,190 | 22,114 | 26 | pipenv/patched/pip/_vendor/requests/sessions.py | 13 | 7 | def post(self, url, data=None, json=None, **kwargs):
r
re | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | post | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | pipenv | sessions.py | 8 | 11 | https://github.com/pypa/pipenv.git | 1 | 40 | 0 | 12 | 58 | Python | {
"docstring": "Sends a POST request. Returns :class:`Response` object.\n\n :param url: URL for the new :class:`Request` object.\n :param data: (optional) Dictionary, list of tuples, bytes, or file-like\n object to send in the body of the :class:`Request`.\n :param json: (optional) jso... | def post(self, url, data=None, json=None, **kwargs):
r
return self.request("POST", url, data=data, json=json, **kwargs)
| |
52,723 | 209,531 | 162 | scapy/contrib/http2.py | 44 | 10 | def __getitem__(self, idx):
# type: (int) -> HPackHdrEntry
assert idx >= 0
if idx > type(self)._static_entries_last_idx:
idx -= type(self)._static_entries_last_idx + 1
if idx >= len(self._dynamic_table):
raise KeyError(
'EINVAL... | E275 - Missing whitespace after keyword (#3711)
Co-authored-by: Alexander Aring <alex.aring@gmail.com>
Co-authored-by: Anmol Sarma <me@anmolsarma.in>
Co-authored-by: antoine.torre <torreantoine1@gmail.com>
Co-authored-by: Antoine Vacher <devel@tigre-bleu.net>
Co-authored-by: Arnaud Ebalard <arno@natisbad.org>
Co-... | __getitem__ | 08b1f9d67c8e716fd44036a027bdc90dcb9fcfdf | scapy | http2.py | 16 | 10 | https://github.com/secdev/scapy.git | 3 | 76 | 0 | 37 | 124 | Python | {
"docstring": "Gets an element from the header tables (static or dynamic indifferently)\n\n :param int idx: the index number of the entry to retrieve. If the index\n value is superior to the last index of the static entry table, then the\n dynamic entry type is requested, following the procedure... | def __getitem__(self, idx):
# type: (int) -> HPackHdrEntry
assert idx >= 0
if idx > type(self)._static_entries_last_idx:
idx -= type(self)._static_entries_last_idx + 1
if idx >= len(self._dynamic_table):
raise KeyError(
'EINVAL... | |
51,819 | 206,977 | 208 | tests/admin_changelist/tests.py | 67 | 27 | def test_pagination(self):
parent = Parent.objects.create(name="anything")
for i in range(1, 31):
Child.objects.create(name="name %s" % i, parent=parent)
Child.objects.create(name="filtered %s" % i, parent=parent)
request = self.factory.get("/child/")
re... | Refs #33476 -- Reformatted code with Black. | test_pagination | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | tests.py | 12 | 17 | https://github.com/django/django.git | 2 | 209 | 0 | 43 | 327 | Python | {
"docstring": "\n Regression tests for #12893: Pagination in admins changelist doesn't\n use queryset set by modeladmin.\n ",
"language": "en",
"n_whitespaces": 36,
"n_words": 14,
"vocab_size": 14
} | def test_pagination(self):
parent = Parent.objects.create(name="anything")
for i in range(1, 31):
Child.objects.create(name="name %s" % i, parent=parent)
Child.objects.create(name="filtered %s" % i, parent=parent)
request = self.factory.get("/child/")
re... | |
75,274 | 258,522 | 155 | sklearn/discriminant_analysis.py | 47 | 14 | def transform(self, X):
if self.solver == "lsqr":
raise NotImplementedError(
"transform not implemented for 'lsqr' solver (use 'svd' or 'eigen')."
)
check_is_fitted(self)
X = self._validate_data(X, reset=False)
if self.solver == "svd":
... | DOC Add documentation on output shape of LDA.transform (#22238) | transform | ab08e4dba5f1f87b8c3395f32469a6ddb5e34f89 | scikit-learn | discriminant_analysis.py | 12 | 12 | https://github.com/scikit-learn/scikit-learn.git | 4 | 88 | 0 | 38 | 147 | Python | {
"docstring": "Project data to maximize class separation.\n\n Parameters\n ----------\n X : array-like of shape (n_samples, n_features)\n Input data.\n\n Returns\n -------\n X_new : ndarray of shape (n_samples, n_components) or \\\n (n_samples, min(rank... | def transform(self, X):
if self.solver == "lsqr":
raise NotImplementedError(
"transform not implemented for 'lsqr' solver (use 'svd' or 'eigen')."
)
check_is_fitted(self)
X = self._validate_data(X, reset=False)
if self.solver == "svd":
... | |
110,121 | 311,456 | 301 | tests/components/homekit_controller/test_climate.py | 101 | 25 | async def test_heater_cooler_hvac_mode_vs_hvac_action(hass, utcnow):
helper = await setup_test_component(hass, create_heater_cooler_service)
# Simulate that current temperature is above target temp
# Heating might be on, but hvac_action currently 'off'
await helper.async_update(
ServicesTy... | Improve homekit_controller tests (#65266) | test_heater_cooler_hvac_mode_vs_hvac_action | 58b8c30221a6f6e5acbbe98b7e3298b03fb741f5 | core | test_climate.py | 11 | 28 | https://github.com/home-assistant/core.git | 1 | 161 | 0 | 56 | 256 | Python | {
"docstring": "Check that we haven't conflated hvac_mode and hvac_action.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | async def test_heater_cooler_hvac_mode_vs_hvac_action(hass, utcnow):
helper = await setup_test_component(hass, create_heater_cooler_service)
# Simulate that current temperature is above target temp
# Heating might be on, but hvac_action currently 'off'
await helper.async_update(
ServicesTy... | |
74,072 | 253,415 | 74 | examples/contrib/webscanner_helper/watchdog.py | 20 | 5 | def not_in_timeout(cls, last_triggered, timeout):
return (
last_triggered is None
or timeout is None
or (tim | [autofix.ci] apply automated fixes | not_in_timeout | 8c2428c9d355ca5fbc3dd90e9820ceb1cc795837 | mitmproxy | watchdog.py | 12 | 6 | https://github.com/mitmproxy/mitmproxy.git | 3 | 32 | 0 | 16 | 51 | Python | {
"docstring": "Checks if current error lies not in timeout after last trigger (potential reset of connection).",
"language": "en",
"n_whitespaces": 14,
"n_words": 15,
"vocab_size": 15
} | def not_in_timeout(cls, last_triggered, timeout):
return (
last_triggered is None
or timeout is None
or (time.time() - last_triggered > timeout)
)
| |
47,049 | 194,733 | 909 | parlai/core/torch_generator_agent.py | 201 | 42 | def get_rescored_finished(self, n_best=None):
# if we never actually finished, force one
if not self.finished:
self.outputs[-1][0] = self.eos
self.finished.append(
_HypothesisTail(
timestep=len(self.outputs) - 1,
hy... | Logging token level losses at inference time (#4169) | get_rescored_finished | daa85bf085c9e275cc65d0b03758d1f70742b57f | ParlAI | torch_generator_agent.py | 16 | 51 | https://github.com/facebookresearch/ParlAI.git | 9 | 336 | 0 | 140 | 525 | Python | {
"docstring": "\n Return finished hypotheses according to adjusted scores.\n\n Score adjustment is done according to the Google NMT paper, which\n penalizes long utterances.\n\n :param n_best:\n number of finalized hypotheses to return\n\n :return:\n list of (... | def get_rescored_finished(self, n_best=None):
# if we never actually finished, force one
if not self.finished:
self.outputs[-1][0] = self.eos
self.finished.append(
_HypothesisTail(
timestep=len(self.outputs) - 1,
hy... | |
39,870 | 166,924 | 22 | pandas/core/resample.py | 8 | 5 | def quantile(self, q=0.5, **kwargs):
return self._do | DEPR: numeric_only default in resampler ops (#47177) | quantile | 62b6d25551d006758422c20e7f931858e23054a9 | pandas | resample.py | 8 | 2 | https://github.com/pandas-dev/pandas.git | 1 | 29 | 0 | 8 | 44 | Python | {
"docstring": "\n Return value at the given quantile.\n\n Parameters\n ----------\n q : float or array-like, default 0.5 (50% quantile)\n\n Returns\n -------\n DataFrame or Series\n Quantile of values within each group.\n\n See Also\n --------... | def quantile(self, q=0.5, **kwargs):
return self._downsample("quantile", q=q, **kwargs)
| |
45,933 | 188,795 | 25 | src/calibre/gui2/preferences/create_custom_column.py | 11 | 5 | def current_columns(self):
return copy.deepcopy(self.custcols) #de | Yet another version of CreateNewCustomColumn.
My apologies for the multiple commits. I have been working with @davidfor and we cycled a few times. I hope this is the last, barring bugs. | current_columns | 7b9bb6e62424e4b3c960e9e25c45a6946988959c | calibre | create_custom_column.py | 8 | 2 | https://github.com/kovidgoyal/calibre.git | 1 | 15 | 0 | 11 | 28 | Python | {
"docstring": "\n Return the currently defined custom columns\n\n Return the currently defined custom columns including the ones that haven't\n yet been created. It is a dict of dicts defined as follows:\n custcols[lookup_name] = {\n 'label': lookup_name,\n ... | def current_columns(self):
return copy.deepcopy(self.custcols) #deepcopy to prevent users from changing it
| |
16,345 | 75,054 | 59 | wagtail/images/image_operations.py | 16 | 8 | def transform_vector(self, vector):
return Vector(
(vector | Reformat with black | transform_vector | d10f15e55806c6944827d801cd9c2d53f5da4186 | wagtail | image_operations.py | 12 | 5 | https://github.com/wagtail/wagtail.git | 1 | 52 | 0 | 14 | 78 | Python | {
"docstring": "\n Transforms the given vector into the coordinate space of the final image.\n\n Use this to find out where a point on the source image would end up in the\n final image after cropping/resizing has been performed.\n\n Returns a new vector.\n ",
"language": "en",
... | def transform_vector(self, vector):
return Vector(
(vector.x + self.offset[0]) * self.scale[0],
(vector.y + self.offset[1]) * self.scale[1],
)
| |
17,347 | 82,306 | 60 | cms/utils/conf.py | 27 | 8 | def _load_from_file(module_path):
from imp import PY_SOURCE, load_module
imported = None
if module_path:
with open(module_path, 'r') as openfile:
imported = load_module("mod", openfile, module_path, ('imp | Enabled isort workflow (#7200)
* Ran isort
* Enabled isort workflow
Co-authored-by: Vinit Kumar <mail@vinitkumar.me> | _load_from_file | a3110e1ff24085373898c7d2a85f628abeb8518d | django-cms | conf.py | 14 | 7 | https://github.com/django-cms/django-cms.git | 2 | 48 | 0 | 24 | 85 | Python | {
"docstring": "\n Load a python module from its absolute filesystem path\n ",
"language": "en",
"n_whitespaces": 16,
"n_words": 9,
"vocab_size": 9
} | def _load_from_file(module_path):
from imp import PY_SOURCE, load_module
imported = None
if module_path:
with open(module_path, 'r') as openfile:
imported = load_module("mod", openfile, module_path, ('imported', 'r', PY_SOURCE))
return imported
| |
50,562 | 203,858 | 284 | django/contrib/gis/db/backends/postgis/schema.py | 60 | 15 | def _alter_column_type_sql(self, table, old_field, new_field, new_type):
if not hasattr(old_field, "dim") or not hasattr(new_field, "dim"):
return super()._alter_column_type_sql(table, old_field, new_field, new_type)
if old_field.dim == 2 and new_field.dim == 3:
sql_alt... | Refs #33476 -- Reformatted code with Black. | _alter_column_type_sql | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | schema.py | 13 | 20 | https://github.com/django/django.git | 7 | 121 | 0 | 42 | 189 | Python | {
"docstring": "\n Special case when dimension changed.\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 5,
"vocab_size": 5
} | def _alter_column_type_sql(self, table, old_field, new_field, new_type):
if not hasattr(old_field, "dim") or not hasattr(new_field, "dim"):
return super()._alter_column_type_sql(table, old_field, new_field, new_type)
if old_field.dim == 2 and new_field.dim == 3:
sql_alt... |
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