nwo stringlengths 5 106 | sha stringlengths 40 40 | path stringlengths 4 174 | language stringclasses 1
value | identifier stringlengths 1 140 | parameters stringlengths 0 87.7k | argument_list stringclasses 1
value | return_statement stringlengths 0 426k | docstring stringlengths 0 64.3k | docstring_summary stringlengths 0 26.3k | docstring_tokens list | function stringlengths 18 4.83M | function_tokens list | url stringlengths 83 304 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pyjanitor-devs/pyjanitor | 2207c0bddbf7e23f56e87892de0405787b11621e | janitor/functions/remove_empty.py | python | remove_empty | (df: pd.DataFrame) | return df | Drop all rows and columns that are completely null.
This method also resets the index(by default) since it doesn't make sense
to preserve the index of a completely empty row.
This method mutates the original DataFrame.
Implementation is inspired from [StackOverflow][so].
[so]: https://stackoverf... | Drop all rows and columns that are completely null. | [
"Drop",
"all",
"rows",
"and",
"columns",
"that",
"are",
"completely",
"null",
"."
] | def remove_empty(df: pd.DataFrame) -> pd.DataFrame:
"""Drop all rows and columns that are completely null.
This method also resets the index(by default) since it doesn't make sense
to preserve the index of a completely empty row.
This method mutates the original DataFrame.
Implementation is inspi... | [
"def",
"remove_empty",
"(",
"df",
":",
"pd",
".",
"DataFrame",
")",
"->",
"pd",
".",
"DataFrame",
":",
"# noqa: E501",
"nanrows",
"=",
"df",
".",
"index",
"[",
"df",
".",
"isna",
"(",
")",
".",
"all",
"(",
"axis",
"=",
"1",
")",
"]",
"df",
"=",
... | https://github.com/pyjanitor-devs/pyjanitor/blob/2207c0bddbf7e23f56e87892de0405787b11621e/janitor/functions/remove_empty.py#L6-L41 | |
ethereum/trinity | 6383280c5044feb06695ac2f7bc1100b7bcf4fe0 | p2p/auth.py | python | HandshakeInitiator.decode_auth_ack_message | (self, ciphertext: bytes) | return eph_pubkey, nonce | [] | def decode_auth_ack_message(self, ciphertext: bytes) -> Tuple[datatypes.PublicKey, bytes]:
if len(ciphertext) < ENCRYPTED_AUTH_ACK_LEN:
raise BadAckMessage(f"Auth ack msg too short: {len(ciphertext)}")
elif len(ciphertext) == ENCRYPTED_AUTH_ACK_LEN:
eph_pubkey, nonce, _ = decode_... | [
"def",
"decode_auth_ack_message",
"(",
"self",
",",
"ciphertext",
":",
"bytes",
")",
"->",
"Tuple",
"[",
"datatypes",
".",
"PublicKey",
",",
"bytes",
"]",
":",
"if",
"len",
"(",
"ciphertext",
")",
"<",
"ENCRYPTED_AUTH_ACK_LEN",
":",
"raise",
"BadAckMessage",
... | https://github.com/ethereum/trinity/blob/6383280c5044feb06695ac2f7bc1100b7bcf4fe0/p2p/auth.py#L205-L212 | |||
tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/v1_rbd_volume_source.py | python | V1RBDVolumeSource.__repr__ | (self) | return self.to_str() | For `print` and `pprint` | For `print` and `pprint` | [
"For",
"print",
"and",
"pprint"
] | def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str() | [
"def",
"__repr__",
"(",
"self",
")",
":",
"return",
"self",
".",
"to_str",
"(",
")"
] | https://github.com/tomplus/kubernetes_asyncio/blob/f028cc793e3a2c519be6a52a49fb77ff0b014c9b/kubernetes_asyncio/client/models/v1_rbd_volume_source.py#L302-L304 | |
stopstalk/stopstalk-deployment | 10c3ab44c4ece33ae515f6888c15033db2004bb1 | modules/sites/hackerrank.py | python | Profile.get_submissions | (self, last_retrieved, is_daily_retrieval) | return submissions | Retrieve HackerRank submissions after last retrieved timestamp
@param last_retrieved (DateTime): Last retrieved timestamp for the user
@param is_daily_retrieval (Boolean): If this call is from daily retrieval cron
@return (Dict): Dictionary of submissions containing all the
... | Retrieve HackerRank submissions after last retrieved timestamp | [
"Retrieve",
"HackerRank",
"submissions",
"after",
"last",
"retrieved",
"timestamp"
] | def get_submissions(self, last_retrieved, is_daily_retrieval):
"""
Retrieve HackerRank submissions after last retrieved timestamp
@param last_retrieved (DateTime): Last retrieved timestamp for the user
@param is_daily_retrieval (Boolean): If this call is from daily retrieval... | [
"def",
"get_submissions",
"(",
"self",
",",
"last_retrieved",
",",
"is_daily_retrieval",
")",
":",
"handle",
"=",
"self",
".",
"handle",
"url",
"=",
"\"https://www.hackerrank.com/rest/hackers/\"",
"+",
"handle",
"+",
"\"/recent_challenges\"",
"request_params",
"=",
"{... | https://github.com/stopstalk/stopstalk-deployment/blob/10c3ab44c4ece33ae515f6888c15033db2004bb1/modules/sites/hackerrank.py#L185-L244 | |
wikimedia/pywikibot | 81a01ffaec7271bf5b4b170f85a80388420a4e78 | docs/conf.py | python | pywikibot_skip_members | (app, what, name, obj, skip, options) | return skip or name in exclusions | Skip certain members from documentation. | Skip certain members from documentation. | [
"Skip",
"certain",
"members",
"from",
"documentation",
"."
] | def pywikibot_skip_members(app, what, name, obj, skip, options):
"""Skip certain members from documentation."""
inclusions = ()
exclusions = ()
if name in inclusions and len(str.splitlines(obj.__doc__ or '')) >= 3:
return False
if name.startswith('__') and name.endswith('__'):
return... | [
"def",
"pywikibot_skip_members",
"(",
"app",
",",
"what",
",",
"name",
",",
"obj",
",",
"skip",
",",
"options",
")",
":",
"inclusions",
"=",
"(",
")",
"exclusions",
"=",
"(",
")",
"if",
"name",
"in",
"inclusions",
"and",
"len",
"(",
"str",
".",
"spli... | https://github.com/wikimedia/pywikibot/blob/81a01ffaec7271bf5b4b170f85a80388420a4e78/docs/conf.py#L470-L481 | |
celery/kombu | 853b13f1d018ebfe7ad2d064a3111cac9fcf5383 | kombu/transport/azurestoragequeues.py | python | Channel._ensure_queue | (self, queue) | Ensure a queue exists. | Ensure a queue exists. | [
"Ensure",
"a",
"queue",
"exists",
"."
] | def _ensure_queue(self, queue):
"""Ensure a queue exists."""
queue = self.entity_name(self.queue_name_prefix + queue)
try:
return self._queue_name_cache[queue]
except KeyError:
self.queue_service.create_queue(queue, fail_on_exist=False)
q = self._queue... | [
"def",
"_ensure_queue",
"(",
"self",
",",
"queue",
")",
":",
"queue",
"=",
"self",
".",
"entity_name",
"(",
"self",
".",
"queue_name_prefix",
"+",
"queue",
")",
"try",
":",
"return",
"self",
".",
"_queue_name_cache",
"[",
"queue",
"]",
"except",
"KeyError"... | https://github.com/celery/kombu/blob/853b13f1d018ebfe7ad2d064a3111cac9fcf5383/kombu/transport/azurestoragequeues.py#L84-L92 | ||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/django/core/handlers/base.py | python | BaseHandler._legacy_get_response | (self, request) | return response | Apply process_request() middleware and call the main _get_response(),
if needed. Used only for legacy MIDDLEWARE_CLASSES. | Apply process_request() middleware and call the main _get_response(),
if needed. Used only for legacy MIDDLEWARE_CLASSES. | [
"Apply",
"process_request",
"()",
"middleware",
"and",
"call",
"the",
"main",
"_get_response",
"()",
"if",
"needed",
".",
"Used",
"only",
"for",
"legacy",
"MIDDLEWARE_CLASSES",
"."
] | def _legacy_get_response(self, request):
"""
Apply process_request() middleware and call the main _get_response(),
if needed. Used only for legacy MIDDLEWARE_CLASSES.
"""
response = None
# Apply request middleware
for middleware_method in self._request_middleware:... | [
"def",
"_legacy_get_response",
"(",
"self",
",",
"request",
")",
":",
"response",
"=",
"None",
"# Apply request middleware",
"for",
"middleware_method",
"in",
"self",
".",
"_request_middleware",
":",
"response",
"=",
"middleware_method",
"(",
"request",
")",
"if",
... | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_hxb2/lib/python3.5/site-packages/django/core/handlers/base.py#L236-L250 | |
dinghanshen/SWEM | 487f8bc1ee18e70397db79794ae4294fe114db26 | intrinsic_dimension/general/stats_buddy.py | python | StatsBuddy._summary_pretty_re | (self, keys_values, style='') | Produce a short, printable summary. Strips "train_" and "test_" strings assuming they will be printed elsewhere. | Produce a short, printable summary. Strips "train_" and "test_" strings assuming they will be printed elsewhere. | [
"Produce",
"a",
"short",
"printable",
"summary",
".",
"Strips",
"train_",
"and",
"test_",
"strings",
"assuming",
"they",
"will",
"be",
"printed",
"elsewhere",
"."
] | def _summary_pretty_re(self, keys_values, style=''):
'''Produce a short, printable summary. Strips "train_" and "test_" strings assuming they will be printed elsewhere.'''
ret = []
losses_seen = 0
for key, value in keys_values:
short = key
for orig,new in self._pr... | [
"def",
"_summary_pretty_re",
"(",
"self",
",",
"keys_values",
",",
"style",
"=",
"''",
")",
":",
"ret",
"=",
"[",
"]",
"losses_seen",
"=",
"0",
"for",
"key",
",",
"value",
"in",
"keys_values",
":",
"short",
"=",
"key",
"for",
"orig",
",",
"new",
"in"... | https://github.com/dinghanshen/SWEM/blob/487f8bc1ee18e70397db79794ae4294fe114db26/intrinsic_dimension/general/stats_buddy.py#L209-L229 | ||
openhatch/oh-mainline | ce29352a034e1223141dcc2f317030bbc3359a51 | vendor/packages/python-social-auth/social/apps/django_app/default/fields.py | python | JSONField.validate | (self, value, model_instance) | Check value is a valid JSON string, raise ValidationError on
error. | Check value is a valid JSON string, raise ValidationError on
error. | [
"Check",
"value",
"is",
"a",
"valid",
"JSON",
"string",
"raise",
"ValidationError",
"on",
"error",
"."
] | def validate(self, value, model_instance):
"""Check value is a valid JSON string, raise ValidationError on
error."""
if isinstance(value, six.string_types):
super(JSONField, self).validate(value, model_instance)
try:
json.loads(value)
except Ex... | [
"def",
"validate",
"(",
"self",
",",
"value",
",",
"model_instance",
")",
":",
"if",
"isinstance",
"(",
"value",
",",
"six",
".",
"string_types",
")",
":",
"super",
"(",
"JSONField",
",",
"self",
")",
".",
"validate",
"(",
"value",
",",
"model_instance",... | https://github.com/openhatch/oh-mainline/blob/ce29352a034e1223141dcc2f317030bbc3359a51/vendor/packages/python-social-auth/social/apps/django_app/default/fields.py#L45-L53 | ||
twilio/twilio-python | 6e1e811ea57a1edfadd5161ace87397c563f6915 | twilio/rest/api/v2010/account/message/media.py | python | MediaList.__init__ | (self, version, account_sid, message_sid) | Initialize the MediaList
:param Version version: Version that contains the resource
:param account_sid: The SID of the Account that created this resource
:param message_sid: The unique string that identifies the resource
:returns: twilio.rest.api.v2010.account.message.media.MediaList
... | Initialize the MediaList | [
"Initialize",
"the",
"MediaList"
] | def __init__(self, version, account_sid, message_sid):
"""
Initialize the MediaList
:param Version version: Version that contains the resource
:param account_sid: The SID of the Account that created this resource
:param message_sid: The unique string that identifies the resource... | [
"def",
"__init__",
"(",
"self",
",",
"version",
",",
"account_sid",
",",
"message_sid",
")",
":",
"super",
"(",
"MediaList",
",",
"self",
")",
".",
"__init__",
"(",
"version",
")",
"# Path Solution",
"self",
".",
"_solution",
"=",
"{",
"'account_sid'",
":"... | https://github.com/twilio/twilio-python/blob/6e1e811ea57a1edfadd5161ace87397c563f6915/twilio/rest/api/v2010/account/message/media.py#L20-L35 | ||
openstack/glance | 502fa0ffc8970c087c5924742231812c0da6a114 | glance/api/authorization.py | python | is_namespace_mutable | (context, namespace) | return namespace.owner == context.owner | Return True if the namespace is mutable in this context. | Return True if the namespace is mutable in this context. | [
"Return",
"True",
"if",
"the",
"namespace",
"is",
"mutable",
"in",
"this",
"context",
"."
] | def is_namespace_mutable(context, namespace):
"""Return True if the namespace is mutable in this context."""
if context.is_admin:
return True
if context.owner is None:
return False
return namespace.owner == context.owner | [
"def",
"is_namespace_mutable",
"(",
"context",
",",
"namespace",
")",
":",
"if",
"context",
".",
"is_admin",
":",
"return",
"True",
"if",
"context",
".",
"owner",
"is",
"None",
":",
"return",
"False",
"return",
"namespace",
".",
"owner",
"==",
"context",
"... | https://github.com/openstack/glance/blob/502fa0ffc8970c087c5924742231812c0da6a114/glance/api/authorization.py#L489-L497 | |
LudovicRousseau/pyscard | c0a5e2f626be69a0fc7b530631471cf014e4b20e | smartcard/Card.py | python | Card.__hash__ | (self) | return hash(str(self)) | Returns a hash value for this object (str(self) is unique). | Returns a hash value for this object (str(self) is unique). | [
"Returns",
"a",
"hash",
"value",
"for",
"this",
"object",
"(",
"str",
"(",
"self",
")",
"is",
"unique",
")",
"."
] | def __hash__(self):
"""Returns a hash value for this object (str(self) is unique)."""
return hash(str(self)) | [
"def",
"__hash__",
"(",
"self",
")",
":",
"return",
"hash",
"(",
"str",
"(",
"self",
")",
")"
] | https://github.com/LudovicRousseau/pyscard/blob/c0a5e2f626be69a0fc7b530631471cf014e4b20e/smartcard/Card.py#L58-L60 | |
akanimax/natural-language-summary-generation-from-structured-data | b8cc906286f97e8523acc8306945c34a4f8ef17c | TensorFlow_implementation/seq2seq/contrib/seq2seq/helper.py | python | ScheduledEmbeddingTrainingHelper.__init__ | (self, inputs, sequence_length, embedding, sampling_probability,
time_major=False, seed=None, scheduling_seed=None, name=None) | Initializer.
Args:
inputs: A (structure of) input tensors.
sequence_length: An int32 vector tensor.
embedding: A callable that takes a vector tensor of `ids` (argmax ids),
or the `params` argument for `embedding_lookup`.
sampling_probability: A 0D `float32` tensor: the probability o... | Initializer. | [
"Initializer",
"."
] | def __init__(self, inputs, sequence_length, embedding, sampling_probability,
time_major=False, seed=None, scheduling_seed=None, name=None):
"""Initializer.
Args:
inputs: A (structure of) input tensors.
sequence_length: An int32 vector tensor.
embedding: A callable that takes a ... | [
"def",
"__init__",
"(",
"self",
",",
"inputs",
",",
"sequence_length",
",",
"embedding",
",",
"sampling_probability",
",",
"time_major",
"=",
"False",
",",
"seed",
"=",
"None",
",",
"scheduling_seed",
"=",
"None",
",",
"name",
"=",
"None",
")",
":",
"with"... | https://github.com/akanimax/natural-language-summary-generation-from-structured-data/blob/b8cc906286f97e8523acc8306945c34a4f8ef17c/TensorFlow_implementation/seq2seq/contrib/seq2seq/helper.py#L215-L255 | ||
morganstanley/treadmill | f18267c665baf6def4374d21170198f63ff1cde4 | lib/python/treadmill/formatter/tablefmt.py | python | InstanceFinishedStatePrettyFormatter.format | (item) | Return pretty-formatted item. | Return pretty-formatted item. | [
"Return",
"pretty",
"-",
"formatted",
"item",
"."
] | def format(item):
"""Return pretty-formatted item."""
schema = [
('name', None, None),
('state', None, None),
('host', None, None),
('when', None, None),
('details', None, None),
]
format_item = make_dict_to_table(schema)
... | [
"def",
"format",
"(",
"item",
")",
":",
"schema",
"=",
"[",
"(",
"'name'",
",",
"None",
",",
"None",
")",
",",
"(",
"'state'",
",",
"None",
",",
"None",
")",
",",
"(",
"'host'",
",",
"None",
",",
"None",
")",
",",
"(",
"'when'",
",",
"None",
... | https://github.com/morganstanley/treadmill/blob/f18267c665baf6def4374d21170198f63ff1cde4/lib/python/treadmill/formatter/tablefmt.py#L575-L591 | ||
implus/PytorchInsight | 2864528f8b83f52c3df76f7c3804aa468b91e5cf | classification/utils/progress/progress/counter.py | python | Countdown.update | (self) | [] | def update(self):
self.write(str(self.remaining)) | [
"def",
"update",
"(",
"self",
")",
":",
"self",
".",
"write",
"(",
"str",
"(",
"self",
".",
"remaining",
")",
")"
] | https://github.com/implus/PytorchInsight/blob/2864528f8b83f52c3df76f7c3804aa468b91e5cf/classification/utils/progress/progress/counter.py#L33-L34 | ||||
hahnyuan/nn_tools | e04903d2946a75b62128b64ada7eec8b9fbd841f | Caffe/caffe_net.py | python | _Net.layer | (self,layer_name) | return self.get_layer_by_name(layer_name) | [] | def layer(self,layer_name):
return self.get_layer_by_name(layer_name) | [
"def",
"layer",
"(",
"self",
",",
"layer_name",
")",
":",
"return",
"self",
".",
"get_layer_by_name",
"(",
"layer_name",
")"
] | https://github.com/hahnyuan/nn_tools/blob/e04903d2946a75b62128b64ada7eec8b9fbd841f/Caffe/caffe_net.py#L57-L58 | |||
openstack/sahara | c4f4d29847d5bcca83d49ef7e9a3378458462a79 | sahara/common/config.py | python | set_config_defaults | () | This method updates all configuration default values. | This method updates all configuration default values. | [
"This",
"method",
"updates",
"all",
"configuration",
"default",
"values",
"."
] | def set_config_defaults():
"""This method updates all configuration default values."""
set_cors_middleware_defaults()
# TODO(gmann): Remove setting the default value of config policy_file
# once oslo_policy change the default value to 'policy.yaml'.
# https://opendev.org/openstack/oslo.policy/src/c... | [
"def",
"set_config_defaults",
"(",
")",
":",
"set_cors_middleware_defaults",
"(",
")",
"# TODO(gmann): Remove setting the default value of config policy_file",
"# once oslo_policy change the default value to 'policy.yaml'.",
"# https://opendev.org/openstack/oslo.policy/src/commit/d8534850d9238e8... | https://github.com/openstack/sahara/blob/c4f4d29847d5bcca83d49ef7e9a3378458462a79/sahara/common/config.py#L22-L29 | ||
moberweger/deep-prior-pp | 11f585f73d2c7957c95db302b770a3b4962c0386 | src/util/handdetector.py | python | HandDetector.estimateHandsize | (self, contours, com, cube=(250, 250, 250), tol=0.) | return cube | Estimate hand size from contours
:param contours: contours of hand
:param com: center of mass
:param cube: default cube
:param tol: tolerance to be added to all sides
:return: metric cube for cropping (x, y, z) | Estimate hand size from contours
:param contours: contours of hand
:param com: center of mass
:param cube: default cube
:param tol: tolerance to be added to all sides
:return: metric cube for cropping (x, y, z) | [
"Estimate",
"hand",
"size",
"from",
"contours",
":",
"param",
"contours",
":",
"contours",
"of",
"hand",
":",
"param",
"com",
":",
"center",
"of",
"mass",
":",
"param",
"cube",
":",
"default",
"cube",
":",
"param",
"tol",
":",
"tolerance",
"to",
"be",
... | def estimateHandsize(self, contours, com, cube=(250, 250, 250), tol=0.):
"""
Estimate hand size from contours
:param contours: contours of hand
:param com: center of mass
:param cube: default cube
:param tol: tolerance to be added to all sides
:return: metric cube... | [
"def",
"estimateHandsize",
"(",
"self",
",",
"contours",
",",
"com",
",",
"cube",
"=",
"(",
"250",
",",
"250",
",",
"250",
")",
",",
"tol",
"=",
"0.",
")",
":",
"x",
",",
"y",
",",
"w",
",",
"h",
"=",
"cv2",
".",
"boundingRect",
"(",
"contours"... | https://github.com/moberweger/deep-prior-pp/blob/11f585f73d2c7957c95db302b770a3b4962c0386/src/util/handdetector.py#L911-L937 | |
python/cpython | e13cdca0f5224ec4e23bdd04bb3120506964bc8b | Tools/demo/spreadsheet.py | python | SheetGUI.return_event | (self, event) | return "break" | Callback for the Return key. | Callback for the Return key. | [
"Callback",
"for",
"the",
"Return",
"key",
"."
] | def return_event(self, event):
"Callback for the Return key."
self.change_cell()
x, y = self.currentxy
self.setcurrent(x, y+1)
return "break" | [
"def",
"return_event",
"(",
"self",
",",
"event",
")",
":",
"self",
".",
"change_cell",
"(",
")",
"x",
",",
"y",
"=",
"self",
".",
"currentxy",
"self",
".",
"setcurrent",
"(",
"x",
",",
"y",
"+",
"1",
")",
"return",
"\"break\""
] | https://github.com/python/cpython/blob/e13cdca0f5224ec4e23bdd04bb3120506964bc8b/Tools/demo/spreadsheet.py#L727-L732 | |
ComplianceAsCode/content | 6760a14e7fe3fb34205bd1a165095a9334412e95 | ssg/templates.py | python | Builder.get_resolved_langs_to_generate | (self, rule) | return rule_langs.intersection(template_langs) | Given a specific Rule instance, determine which languages are
generated by the combination of the rule's template_backends AND
the rule's template keys. | Given a specific Rule instance, determine which languages are
generated by the combination of the rule's template_backends AND
the rule's template keys. | [
"Given",
"a",
"specific",
"Rule",
"instance",
"determine",
"which",
"languages",
"are",
"generated",
"by",
"the",
"combination",
"of",
"the",
"rule",
"s",
"template_backends",
"AND",
"the",
"rule",
"s",
"template",
"keys",
"."
] | def get_resolved_langs_to_generate(self, rule):
"""
Given a specific Rule instance, determine which languages are
generated by the combination of the rule's template_backends AND
the rule's template keys.
"""
if rule.template is None:
return None
rule... | [
"def",
"get_resolved_langs_to_generate",
"(",
"self",
",",
"rule",
")",
":",
"if",
"rule",
".",
"template",
"is",
"None",
":",
"return",
"None",
"rule_langs",
"=",
"set",
"(",
"self",
".",
"get_langs_to_generate",
"(",
"rule",
")",
")",
"template_name",
"=",... | https://github.com/ComplianceAsCode/content/blob/6760a14e7fe3fb34205bd1a165095a9334412e95/ssg/templates.py#L256-L268 | |
Yelp/paasta | 6c08c04a577359509575c794b973ea84d72accf9 | paasta_tools/cleanup_maintenance.py | python | cleanup_forgotten_down | () | Clean up hosts forgotten down | Clean up hosts forgotten down | [
"Clean",
"up",
"hosts",
"forgotten",
"down"
] | def cleanup_forgotten_down():
"""Clean up hosts forgotten down"""
log.debug("Cleaning up hosts forgotten down")
hosts_forgotten_down = get_hosts_forgotten_down(
grace=seconds_to_nanoseconds(10 * 60)
)
if hosts_forgotten_down:
up(hostnames=hosts_forgotten_down)
else:
log.d... | [
"def",
"cleanup_forgotten_down",
"(",
")",
":",
"log",
".",
"debug",
"(",
"\"Cleaning up hosts forgotten down\"",
")",
"hosts_forgotten_down",
"=",
"get_hosts_forgotten_down",
"(",
"grace",
"=",
"seconds_to_nanoseconds",
"(",
"10",
"*",
"60",
")",
")",
"if",
"hosts_... | https://github.com/Yelp/paasta/blob/6c08c04a577359509575c794b973ea84d72accf9/paasta_tools/cleanup_maintenance.py#L68-L77 | ||
Kjuly/iPokeMon-Server | b5e67c67ae248bd092c53fe9e3eee8bf2dba9e3f | bottle.py | python | load | (target, **namespace) | return eval('%s.%s' % (module, target), namespace) | Import a module or fetch an object from a module.
* ``package.module`` returns `module` as a module object.
* ``pack.mod:name`` returns the module variable `name` from `pack.mod`.
* ``pack.mod:func()`` calls `pack.mod.func()` and returns the result.
The last form accepts not only funct... | Import a module or fetch an object from a module. | [
"Import",
"a",
"module",
"or",
"fetch",
"an",
"object",
"from",
"a",
"module",
"."
] | def load(target, **namespace):
""" Import a module or fetch an object from a module.
* ``package.module`` returns `module` as a module object.
* ``pack.mod:name`` returns the module variable `name` from `pack.mod`.
* ``pack.mod:func()`` calls `pack.mod.func()` and returns the result.
... | [
"def",
"load",
"(",
"target",
",",
"*",
"*",
"namespace",
")",
":",
"module",
",",
"target",
"=",
"target",
".",
"split",
"(",
"\":\"",
",",
"1",
")",
"if",
"':'",
"in",
"target",
"else",
"(",
"target",
",",
"None",
")",
"if",
"module",
"not",
"i... | https://github.com/Kjuly/iPokeMon-Server/blob/b5e67c67ae248bd092c53fe9e3eee8bf2dba9e3f/bottle.py#L2614-L2631 | |
ganeti/ganeti | d340a9ddd12f501bef57da421b5f9b969a4ba905 | lib/storage/base.py | python | BlockDev.Rename | (self, new_id) | Rename this device.
This may or may not make sense for a given device type. | Rename this device. | [
"Rename",
"this",
"device",
"."
] | def Rename(self, new_id):
"""Rename this device.
This may or may not make sense for a given device type.
"""
raise NotImplementedError | [
"def",
"Rename",
"(",
"self",
",",
"new_id",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/ganeti/ganeti/blob/d340a9ddd12f501bef57da421b5f9b969a4ba905/lib/storage/base.py#L179-L185 | ||
oracle/oci-python-sdk | 3c1604e4e212008fb6718e2f68cdb5ef71fd5793 | src/oci/core/virtual_network_client_composite_operations.py | python | VirtualNetworkClientCompositeOperations.remove_import_drg_route_distribution_and_wait_for_state | (self, drg_route_table_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}) | Calls :py:func:`~oci.core.VirtualNetworkClient.remove_import_drg_route_distribution` and waits for the :py:class:`~oci.core.models.DrgRouteTable` acted upon
to enter the given state(s).
:param str drg_route_table_id: (required)
The `OCID`__ of the DRG route table.
__ https://do... | Calls :py:func:`~oci.core.VirtualNetworkClient.remove_import_drg_route_distribution` and waits for the :py:class:`~oci.core.models.DrgRouteTable` acted upon
to enter the given state(s). | [
"Calls",
":",
"py",
":",
"func",
":",
"~oci",
".",
"core",
".",
"VirtualNetworkClient",
".",
"remove_import_drg_route_distribution",
"and",
"waits",
"for",
"the",
":",
"py",
":",
"class",
":",
"~oci",
".",
"core",
".",
"models",
".",
"DrgRouteTable",
"acted"... | def remove_import_drg_route_distribution_and_wait_for_state(self, drg_route_table_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.core.VirtualNetworkClient.remove_import_drg_route_distribution` and waits for the :py:class:`~oci.core.models.DrgRouteTable` acted up... | [
"def",
"remove_import_drg_route_distribution_and_wait_for_state",
"(",
"self",
",",
"drg_route_table_id",
",",
"wait_for_states",
"=",
"[",
"]",
",",
"operation_kwargs",
"=",
"{",
"}",
",",
"waiter_kwargs",
"=",
"{",
"}",
")",
":",
"operation_result",
"=",
"self",
... | https://github.com/oracle/oci-python-sdk/blob/3c1604e4e212008fb6718e2f68cdb5ef71fd5793/src/oci/core/virtual_network_client_composite_operations.py#L2552-L2590 | ||
openedx/edx-platform | 68dd185a0ab45862a2a61e0f803d7e03d2be71b5 | lms/djangoapps/certificates/models.py | python | CertificateTemplateAsset.save | (self, *args, **kwargs) | save the certificate template asset | save the certificate template asset | [
"save",
"the",
"certificate",
"template",
"asset"
] | def save(self, *args, **kwargs):
"""save the certificate template asset """
if self.pk is None:
asset_image = self.asset
self.asset = None
super().save(*args, **kwargs)
self.asset = asset_image
super().save(*args, **kwargs) | [
"def",
"save",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"self",
".",
"pk",
"is",
"None",
":",
"asset_image",
"=",
"self",
".",
"asset",
"self",
".",
"asset",
"=",
"None",
"super",
"(",
")",
".",
"save",
"(",
"*",
... | https://github.com/openedx/edx-platform/blob/68dd185a0ab45862a2a61e0f803d7e03d2be71b5/lms/djangoapps/certificates/models.py#L1211-L1219 | ||
plasticityai/magnitude | 7ac0baeaf181263b661c3ae00643d21e3fd90216 | pymagnitude/third_party/_apsw/tools/apswtrace.py | python | fmtfloat | (n, decimals=3, total=None) | return s | Work around borken python float formatting | Work around borken python float formatting | [
"Work",
"around",
"borken",
"python",
"float",
"formatting"
] | def fmtfloat(n, decimals=3, total=None):
"Work around borken python float formatting"
s="%0.*f" % (decimals, n)
if total:
s=(" "*total+s)[-total:]
return s | [
"def",
"fmtfloat",
"(",
"n",
",",
"decimals",
"=",
"3",
",",
"total",
"=",
"None",
")",
":",
"s",
"=",
"\"%0.*f\"",
"%",
"(",
"decimals",
",",
"n",
")",
"if",
"total",
":",
"s",
"=",
"(",
"\" \"",
"*",
"total",
"+",
"s",
")",
"[",
"-",
"total... | https://github.com/plasticityai/magnitude/blob/7ac0baeaf181263b661c3ae00643d21e3fd90216/pymagnitude/third_party/_apsw/tools/apswtrace.py#L294-L299 | |
osmr/imgclsmob | f2993d3ce73a2f7ddba05da3891defb08547d504 | tensorflow2/tf2cv/models/vgg.py | python | bn_vgg13b | (**kwargs) | return get_vgg(blocks=13, use_bias=True, use_bn=True, model_name="bn_vgg13b", **kwargs) | VGG-13 model with batch normalization and biases in convolution layers from 'Very Deep Convolutional Networks for
Large-Scale Image Recognition,' https://arxiv.org/abs/1409.1556.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root :... | VGG-13 model with batch normalization and biases in convolution layers from 'Very Deep Convolutional Networks for
Large-Scale Image Recognition,' https://arxiv.org/abs/1409.1556. | [
"VGG",
"-",
"13",
"model",
"with",
"batch",
"normalization",
"and",
"biases",
"in",
"convolution",
"layers",
"from",
"Very",
"Deep",
"Convolutional",
"Networks",
"for",
"Large",
"-",
"Scale",
"Image",
"Recognition",
"https",
":",
"//",
"arxiv",
".",
"org",
"... | def bn_vgg13b(**kwargs):
"""
VGG-13 model with batch normalization and biases in convolution layers from 'Very Deep Convolutional Networks for
Large-Scale Image Recognition,' https://arxiv.org/abs/1409.1556.
Parameters:
----------
pretrained : bool, default False
Whether to load the pre... | [
"def",
"bn_vgg13b",
"(",
"*",
"*",
"kwargs",
")",
":",
"return",
"get_vgg",
"(",
"blocks",
"=",
"13",
",",
"use_bias",
"=",
"True",
",",
"use_bn",
"=",
"True",
",",
"model_name",
"=",
"\"bn_vgg13b\"",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/osmr/imgclsmob/blob/f2993d3ce73a2f7ddba05da3891defb08547d504/tensorflow2/tf2cv/models/vgg.py#L351-L363 | |
AppScale/gts | 46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9 | AppServer/google/appengine/api/search/query_parser.py | python | GetQueryNodeTextUnicode | (node) | return node.getText() | Returns the unicode text from node. | Returns the unicode text from node. | [
"Returns",
"the",
"unicode",
"text",
"from",
"node",
"."
] | def GetQueryNodeTextUnicode(node):
"""Returns the unicode text from node."""
if node.getType() == QueryParser.VALUE and len(node.children) >= 2:
return u''.join(c.getText() for c in node.children[1:])
elif node.getType() == QueryParser.VALUE:
return None
return node.getText() | [
"def",
"GetQueryNodeTextUnicode",
"(",
"node",
")",
":",
"if",
"node",
".",
"getType",
"(",
")",
"==",
"QueryParser",
".",
"VALUE",
"and",
"len",
"(",
"node",
".",
"children",
")",
">=",
"2",
":",
"return",
"u''",
".",
"join",
"(",
"c",
".",
"getText... | https://github.com/AppScale/gts/blob/46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9/AppServer/google/appengine/api/search/query_parser.py#L221-L227 | |
DataDog/dd-trace-py | 13f9c6c1a8b4820365b299ab204f2bb5189d2a49 | ddtrace/vendor/dogstatsd/base.py | python | DogStatsd.timing | (self, metric, value, tags=None, sample_rate=None) | Record a timing, optionally setting tags and a sample rate.
>>> statsd.timing("query.response.time", 1234) | Record a timing, optionally setting tags and a sample rate. | [
"Record",
"a",
"timing",
"optionally",
"setting",
"tags",
"and",
"a",
"sample",
"rate",
"."
] | def timing(self, metric, value, tags=None, sample_rate=None):
"""
Record a timing, optionally setting tags and a sample rate.
>>> statsd.timing("query.response.time", 1234)
"""
self._report(metric, 'ms', value, tags, sample_rate) | [
"def",
"timing",
"(",
"self",
",",
"metric",
",",
"value",
",",
"tags",
"=",
"None",
",",
"sample_rate",
"=",
"None",
")",
":",
"self",
".",
"_report",
"(",
"metric",
",",
"'ms'",
",",
"value",
",",
"tags",
",",
"sample_rate",
")"
] | https://github.com/DataDog/dd-trace-py/blob/13f9c6c1a8b4820365b299ab204f2bb5189d2a49/ddtrace/vendor/dogstatsd/base.py#L352-L358 | ||
GoSecure/pyrdp | abd8b8762b6d7fd0e49d4a927b529f892b412743 | pyrdp/mitm/config.py | python | MITMConfig.fileDir | (self) | return self.outDir / "files" | Get the directory for intercepted files. | Get the directory for intercepted files. | [
"Get",
"the",
"directory",
"for",
"intercepted",
"files",
"."
] | def fileDir(self) -> Path:
"""
Get the directory for intercepted files.
"""
return self.outDir / "files" | [
"def",
"fileDir",
"(",
"self",
")",
"->",
"Path",
":",
"return",
"self",
".",
"outDir",
"/",
"\"files\""
] | https://github.com/GoSecure/pyrdp/blob/abd8b8762b6d7fd0e49d4a927b529f892b412743/pyrdp/mitm/config.py#L99-L103 | |
oanda/v20-python | f28192f4a31bce038cf6dfa302f5878bec192fe5 | src/v20/user.py | python | UserInfo.__init__ | (self, **kwargs) | Create a new UserInfo instance | Create a new UserInfo instance | [
"Create",
"a",
"new",
"UserInfo",
"instance"
] | def __init__(self, **kwargs):
"""
Create a new UserInfo instance
"""
super(UserInfo, self).__init__()
#
# The user-provided username.
#
self.username = kwargs.get("username")
#
# The user's OANDA-assigned user ID.
#
self... | [
"def",
"__init__",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"super",
"(",
"UserInfo",
",",
"self",
")",
".",
"__init__",
"(",
")",
"#",
"# The user-provided username.",
"#",
"self",
".",
"username",
"=",
"kwargs",
".",
"get",
"(",
"\"username\"",
... | https://github.com/oanda/v20-python/blob/f28192f4a31bce038cf6dfa302f5878bec192fe5/src/v20/user.py#L29-L53 | ||
omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/matplotlib/image.py | python | _AxesImageBase.set_filterrad | (self, filterrad) | Set the resize filter radius only applicable to some
interpolation schemes -- see help for imshow
ACCEPTS: positive float | Set the resize filter radius only applicable to some
interpolation schemes -- see help for imshow | [
"Set",
"the",
"resize",
"filter",
"radius",
"only",
"applicable",
"to",
"some",
"interpolation",
"schemes",
"--",
"see",
"help",
"for",
"imshow"
] | def set_filterrad(self, filterrad):
"""
Set the resize filter radius only applicable to some
interpolation schemes -- see help for imshow
ACCEPTS: positive float
"""
r = float(filterrad)
assert(r > 0)
self._filterrad = r | [
"def",
"set_filterrad",
"(",
"self",
",",
"filterrad",
")",
":",
"r",
"=",
"float",
"(",
"filterrad",
")",
"assert",
"(",
"r",
">",
"0",
")",
"self",
".",
"_filterrad",
"=",
"r"
] | https://github.com/omz/PythonistaAppTemplate/blob/f560f93f8876d82a21d108977f90583df08d55af/PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/matplotlib/image.py#L511-L520 | ||
kamalgill/flask-appengine-template | 11760f83faccbb0d0afe416fc58e67ecfb4643c2 | src/lib/gae_mini_profiler/sampling_profiler.py | python | Profile.__init__ | (self) | [] | def __init__(self):
# All saved stack trace samples
self.samples = []
# Thread id for the request thread currently being profiled
self.current_request_thread_id = None
# Thread that constantly waits, inspects, waits, inspect, ...
self.inspecting_thread = None | [
"def",
"__init__",
"(",
"self",
")",
":",
"# All saved stack trace samples",
"self",
".",
"samples",
"=",
"[",
"]",
"# Thread id for the request thread currently being profiled",
"self",
".",
"current_request_thread_id",
"=",
"None",
"# Thread that constantly waits, inspects, w... | https://github.com/kamalgill/flask-appengine-template/blob/11760f83faccbb0d0afe416fc58e67ecfb4643c2/src/lib/gae_mini_profiler/sampling_profiler.py#L78-L86 | ||||
omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/sympy/polys/agca/ideals.py | python | Ideal.intersect | (self, J) | return self._intersect(J) | Compute the intersection of self with ideal J.
>>> from sympy.abc import x, y
>>> from sympy import QQ
>>> R = QQ.old_poly_ring(x, y)
>>> R.ideal(x).intersect(R.ideal(y))
<x*y> | Compute the intersection of self with ideal J. | [
"Compute",
"the",
"intersection",
"of",
"self",
"with",
"ideal",
"J",
"."
] | def intersect(self, J):
"""
Compute the intersection of self with ideal J.
>>> from sympy.abc import x, y
>>> from sympy import QQ
>>> R = QQ.old_poly_ring(x, y)
>>> R.ideal(x).intersect(R.ideal(y))
<x*y>
"""
self._check_ideal(J)
return se... | [
"def",
"intersect",
"(",
"self",
",",
"J",
")",
":",
"self",
".",
"_check_ideal",
"(",
"J",
")",
"return",
"self",
".",
"_intersect",
"(",
"J",
")"
] | https://github.com/omz/PythonistaAppTemplate/blob/f560f93f8876d82a21d108977f90583df08d55af/PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/sympy/polys/agca/ideals.py#L168-L179 | |
ym2011/POC-EXP | 206b22d3a6b2a172359678df33bbc5b2ad04b6c3 | K8/Web-Exp/sqlmap/lib/core/target.py | python | _resumeHashDBValues | () | Resume stored data values from HashDB | Resume stored data values from HashDB | [
"Resume",
"stored",
"data",
"values",
"from",
"HashDB"
] | def _resumeHashDBValues():
"""
Resume stored data values from HashDB
"""
kb.absFilePaths = hashDBRetrieve(HASHDB_KEYS.KB_ABS_FILE_PATHS, True) or kb.absFilePaths
kb.brute.tables = hashDBRetrieve(HASHDB_KEYS.KB_BRUTE_TABLES, True) or kb.brute.tables
kb.brute.columns = hashDBRetrieve(HASHDB_KEYS.... | [
"def",
"_resumeHashDBValues",
"(",
")",
":",
"kb",
".",
"absFilePaths",
"=",
"hashDBRetrieve",
"(",
"HASHDB_KEYS",
".",
"KB_ABS_FILE_PATHS",
",",
"True",
")",
"or",
"kb",
".",
"absFilePaths",
"kb",
".",
"brute",
".",
"tables",
"=",
"hashDBRetrieve",
"(",
"HA... | https://github.com/ym2011/POC-EXP/blob/206b22d3a6b2a172359678df33bbc5b2ad04b6c3/K8/Web-Exp/sqlmap/lib/core/target.py#L406-L438 | ||
MartinThoma/algorithms | 6199cfa3446e1056c7b4d75ca6e306e9e56fd95b | ML/50-mlps/04-keras-1000-epochs/hasy_tools.py | python | _inner_class_distance | (data) | return (distances, mean_img) | Measure the eucliden distances of one class to the mean image. | Measure the eucliden distances of one class to the mean image. | [
"Measure",
"the",
"eucliden",
"distances",
"of",
"one",
"class",
"to",
"the",
"mean",
"image",
"."
] | def _inner_class_distance(data):
"""Measure the eucliden distances of one class to the mean image."""
distances = []
mean_img = None
for e1 in data:
fname1 = os.path.join('.', e1['path'])
img1 = scipy.ndimage.imread(fname1, flatten=False, mode='L')
if mean_img is None:
... | [
"def",
"_inner_class_distance",
"(",
"data",
")",
":",
"distances",
"=",
"[",
"]",
"mean_img",
"=",
"None",
"for",
"e1",
"in",
"data",
":",
"fname1",
"=",
"os",
".",
"path",
".",
"join",
"(",
"'.'",
",",
"e1",
"[",
"'path'",
"]",
")",
"img1",
"=",
... | https://github.com/MartinThoma/algorithms/blob/6199cfa3446e1056c7b4d75ca6e306e9e56fd95b/ML/50-mlps/04-keras-1000-epochs/hasy_tools.py#L812-L832 | |
edisonlz/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | base/site-packages/tencentcloud/cbs/v20170312/models.py | python | DetachDisksResponse.__init__ | (self) | :param RequestId: 唯一请求ID，每次请求都会返回。定位问题时需要提供该次请求的RequestId。
:type RequestId: str | :param RequestId: 唯一请求ID，每次请求都会返回。定位问题时需要提供该次请求的RequestId。
:type RequestId: str | [
":",
"param",
"RequestId",
":",
"唯一请求ID，每次请求都会返回。定位问题时需要提供该次请求的RequestId。",
":",
"type",
"RequestId",
":",
"str"
] | def __init__(self):
"""
:param RequestId: 唯一请求ID，每次请求都会返回。定位问题时需要提供该次请求的RequestId。
:type RequestId: str
"""
self.RequestId = None | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"RequestId",
"=",
"None"
] | https://github.com/edisonlz/fastor/blob/342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3/base/site-packages/tencentcloud/cbs/v20170312/models.py#L545-L550 | ||
Tuxemon/Tuxemon | ee80708090525391c1dfc43849a6348aca636b22 | scripts/tuxepedia/extractor.py | python | TuxepediaWebExtractor.get_logger | (self) | return logging.getLogger(self.__class__.__name__) | Access a custom class logger. | Access a custom class logger. | [
"Access",
"a",
"custom",
"class",
"logger",
"."
] | def get_logger(self):
"""Access a custom class logger."""
return logging.getLogger(self.__class__.__name__) | [
"def",
"get_logger",
"(",
"self",
")",
":",
"return",
"logging",
".",
"getLogger",
"(",
"self",
".",
"__class__",
".",
"__name__",
")"
] | https://github.com/Tuxemon/Tuxemon/blob/ee80708090525391c1dfc43849a6348aca636b22/scripts/tuxepedia/extractor.py#L38-L41 | |
emmetio/livestyle-sublime-old | c42833c046e9b2f53ebce3df3aa926528f5a33b5 | tornado/websocket.py | python | WebSocketProtocol.__init__ | (self, handler) | [] | def __init__(self, handler):
self.handler = handler
self.request = handler.request
self.stream = handler.stream
self.client_terminated = False
self.server_terminated = False | [
"def",
"__init__",
"(",
"self",
",",
"handler",
")",
":",
"self",
".",
"handler",
"=",
"handler",
"self",
".",
"request",
"=",
"handler",
".",
"request",
"self",
".",
"stream",
"=",
"handler",
".",
"stream",
"self",
".",
"client_terminated",
"=",
"False"... | https://github.com/emmetio/livestyle-sublime-old/blob/c42833c046e9b2f53ebce3df3aa926528f5a33b5/tornado/websocket.py#L285-L290 | ||||
google/seq2seq | 7f485894d412e8d81ce0e07977831865e44309ce | seq2seq/inference/inference.py | python | create_inference_graph | (model, input_pipeline, batch_size=32) | return model(features=features, labels=labels, params=None) | Creates a graph to perform inference.
Args:
task: An `InferenceTask` instance.
input_pipeline: An instance of `InputPipeline` that defines
how to read and parse data.
batch_size: The batch size used for inference
Returns:
The return value of the model function, typically a tuple of
(pred... | Creates a graph to perform inference. | [
"Creates",
"a",
"graph",
"to",
"perform",
"inference",
"."
] | def create_inference_graph(model, input_pipeline, batch_size=32):
"""Creates a graph to perform inference.
Args:
task: An `InferenceTask` instance.
input_pipeline: An instance of `InputPipeline` that defines
how to read and parse data.
batch_size: The batch size used for inference
Returns:
... | [
"def",
"create_inference_graph",
"(",
"model",
",",
"input_pipeline",
",",
"batch_size",
"=",
"32",
")",
":",
"# TODO: This doesn't really belong here.",
"# How to get rid of this?",
"if",
"hasattr",
"(",
"model",
",",
"\"use_beam_search\"",
")",
":",
"if",
"model",
"... | https://github.com/google/seq2seq/blob/7f485894d412e8d81ce0e07977831865e44309ce/seq2seq/inference/inference.py#L26-L54 | |
sklearn-theano/sklearn-theano | 3eba566d8b624885b75759de47e52f903c015e40 | sklearn_theano/externals/google/protobuf/internal/decoder.py | python | _SkipVarint | (buffer, pos, end) | return pos | Skip a varint value. Returns the new position. | Skip a varint value. Returns the new position. | [
"Skip",
"a",
"varint",
"value",
".",
"Returns",
"the",
"new",
"position",
"."
] | def _SkipVarint(buffer, pos, end):
"""Skip a varint value. Returns the new position."""
# Previously ord(buffer[pos]) raised IndexError when pos is out of range.
# With this code, ord(b'') raises TypeError. Both are handled in
# python_message.py to generate a 'Truncated message' error.
while ord(buffer[pos... | [
"def",
"_SkipVarint",
"(",
"buffer",
",",
"pos",
",",
"end",
")",
":",
"# Previously ord(buffer[pos]) raised IndexError when pos is out of range.",
"# With this code, ord(b'') raises TypeError. Both are handled in",
"# python_message.py to generate a 'Truncated message' error.",
"while",
... | https://github.com/sklearn-theano/sklearn-theano/blob/3eba566d8b624885b75759de47e52f903c015e40/sklearn_theano/externals/google/protobuf/internal/decoder.py#L767-L777 | |
seantis/seantis-questionnaire | 698c77b3d707635f50bcd86e7f1c94e94061b0f5 | questionnaire/models.py | python | Question.get_type | (self) | return t | Get the type name, treating sameas and custom specially | Get the type name, treating sameas and custom specially | [
"Get",
"the",
"type",
"name",
"treating",
"sameas",
"and",
"custom",
"specially"
] | def get_type(self):
"Get the type name, treating sameas and custom specially"
t = self.sameas().type
if t == 'custom':
cd = self.sameas().getcheckdict()
if 'type' not in cd:
raise Exception(
"When using custom types, you must have type=... | [
"def",
"get_type",
"(",
"self",
")",
":",
"t",
"=",
"self",
".",
"sameas",
"(",
")",
".",
"type",
"if",
"t",
"==",
"'custom'",
":",
"cd",
"=",
"self",
".",
"sameas",
"(",
")",
".",
"getcheckdict",
"(",
")",
"if",
"'type'",
"not",
"in",
"cd",
":... | https://github.com/seantis/seantis-questionnaire/blob/698c77b3d707635f50bcd86e7f1c94e94061b0f5/questionnaire/models.py#L524-L535 | |
kevoreilly/CAPEv2 | 6cf79c33264624b3604d4cd432cde2a6b4536de6 | lib/cuckoo/common/objects.py | python | File.get_md5 | (self) | return self._md5 | Get MD5.
@return: MD5. | Get MD5. | [
"Get",
"MD5",
"."
] | def get_md5(self):
"""Get MD5.
@return: MD5.
"""
if not self._md5:
self.calc_hashes()
return self._md5 | [
"def",
"get_md5",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"_md5",
":",
"self",
".",
"calc_hashes",
"(",
")",
"return",
"self",
".",
"_md5"
] | https://github.com/kevoreilly/CAPEv2/blob/6cf79c33264624b3604d4cd432cde2a6b4536de6/lib/cuckoo/common/objects.py#L341-L347 | |
hyperledger/aries-cloudagent-python | 2f36776e99f6053ae92eed8123b5b1b2e891c02a | aries_cloudagent/ledger/merkel_validation/hasher.py | python | TreeHasher.hash_leaf | (self, data) | return hasher.digest() | Return leaf node hash. | Return leaf node hash. | [
"Return",
"leaf",
"node",
"hash",
"."
] | def hash_leaf(self, data):
"""Return leaf node hash."""
hasher = self.hashfunc()
hasher.update(b"\x00" + data)
return hasher.digest() | [
"def",
"hash_leaf",
"(",
"self",
",",
"data",
")",
":",
"hasher",
"=",
"self",
".",
"hashfunc",
"(",
")",
"hasher",
".",
"update",
"(",
"b\"\\x00\"",
"+",
"data",
")",
"return",
"hasher",
".",
"digest",
"(",
")"
] | https://github.com/hyperledger/aries-cloudagent-python/blob/2f36776e99f6053ae92eed8123b5b1b2e891c02a/aries_cloudagent/ledger/merkel_validation/hasher.py#L14-L18 | |
apache/libcloud | 90971e17bfd7b6bb97b2489986472c531cc8e140 | libcloud/container/drivers/lxd.py | python | LXDContainerDriver._to_image | (self, metadata) | return ContainerImage(
id=fingerprint,
name=name,
path=None,
version=version,
driver=self,
extra=extra,
) | Returns a container image from the given metadata
:param metadata:
:type metadata: ``dict``
:rtype: :class:`.ContainerImage` | Returns a container image from the given metadata | [
"Returns",
"a",
"container",
"image",
"from",
"the",
"given",
"metadata"
] | def _to_image(self, metadata):
"""
Returns a container image from the given metadata
:param metadata:
:type metadata: ``dict``
:rtype: :class:`.ContainerImage`
"""
fingerprint = metadata.get("fingerprint")
aliases = metadata.get("aliases", [])
... | [
"def",
"_to_image",
"(",
"self",
",",
"metadata",
")",
":",
"fingerprint",
"=",
"metadata",
".",
"get",
"(",
"\"fingerprint\"",
")",
"aliases",
"=",
"metadata",
".",
"get",
"(",
"\"aliases\"",
",",
"[",
"]",
")",
"if",
"aliases",
":",
"name",
"=",
"met... | https://github.com/apache/libcloud/blob/90971e17bfd7b6bb97b2489986472c531cc8e140/libcloud/container/drivers/lxd.py#L1764-L1791 | |
Esri/ArcREST | ab240fde2b0200f61d4a5f6df033516e53f2f416 | src/arcrest/ags/_gpobjects.py | python | GPString.value | (self, value) | gets/sets the object as a dictionary | gets/sets the object as a dictionary | [
"gets",
"/",
"sets",
"the",
"object",
"as",
"a",
"dictionary"
] | def value(self, value):
"""gets/sets the object as a dictionary"""
#if isinstance(value, str):
self._value = value | [
"def",
"value",
"(",
"self",
",",
"value",
")",
":",
"#if isinstance(value, str):",
"self",
".",
"_value",
"=",
"value"
] | https://github.com/Esri/ArcREST/blob/ab240fde2b0200f61d4a5f6df033516e53f2f416/src/arcrest/ags/_gpobjects.py#L601-L604 | ||
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/cls/v20201016/models.py | python | CreateExportResponse.__init__ | (self) | r"""
:param ExportId: 日志导出ID。
:type ExportId: str
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | r"""
:param ExportId: 日志导出ID。
:type ExportId: str
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | [
"r",
":",
"param",
"ExportId",
":",
"日志导出ID。",
":",
"type",
"ExportId",
":",
"str",
":",
"param",
"RequestId",
":",
"唯一请求",
"ID，每次请求都会返回。定位问题时需要提供该次请求的",
"RequestId。",
":",
"type",
"RequestId",
":",
"str"
] | def __init__(self):
r"""
:param ExportId: 日志导出ID。
:type ExportId: str
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str
"""
self.ExportId = None
self.RequestId = None | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"ExportId",
"=",
"None",
"self",
".",
"RequestId",
"=",
"None"
] | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/cls/v20201016/models.py#L975-L983 | ||
vlachoudis/bCNC | 67126b4894dabf6579baf47af8d0f9b7de35e6e3 | bCNC/plugins/function_plot.py | python | Tool.execute | (self, app) | [] | def execute(self, app):
name = self['name']
if not name or name == 'default':
name = 'Function'
# Initialize blocks that will contain our gCode
blocks = []
block = Block(name)
#Variable definitions
formula = self['form']
res = self['res'] #... | [
"def",
"execute",
"(",
"self",
",",
"app",
")",
":",
"name",
"=",
"self",
"[",
"'name'",
"]",
"if",
"not",
"name",
"or",
"name",
"==",
"'default'",
":",
"name",
"=",
"'Function'",
"# Initialize blocks that will contain our gCode",
"blocks",
"=",
"[",
"]",
... | https://github.com/vlachoudis/bCNC/blob/67126b4894dabf6579baf47af8d0f9b7de35e6e3/bCNC/plugins/function_plot.py#L52-L230 | ||||
pypr/pysph | 9cb9a859934939307c65a25cbf73e4ecc83fea4a | pysph/tools/pysph_to_vtk.py | python | write_vtk | (data, filename, scalars=None, vectors={'V':('u','v','w')}, tensors={},
coords=('x','y','z'), dims=None, **kwargs) | write data in to vtk file
Parameters
----------
data : dict
mapping of variable name to their numpy array
filename : str
the file to write to (can be any recognized vtk extension)
if extension is missing .vts extension is appended
scalars : list
list of arrays to wri... | write data in to vtk file | [
"write",
"data",
"in",
"to",
"vtk",
"file"
] | def write_vtk(data, filename, scalars=None, vectors={'V':('u','v','w')}, tensors={},
coords=('x','y','z'), dims=None, **kwargs):
''' write data in to vtk file
Parameters
----------
data : dict
mapping of variable name to their numpy array
filename : str
the file to wri... | [
"def",
"write_vtk",
"(",
"data",
",",
"filename",
",",
"scalars",
"=",
"None",
",",
"vectors",
"=",
"{",
"'V'",
":",
"(",
"'u'",
",",
"'v'",
",",
"'w'",
")",
"}",
",",
"tensors",
"=",
"{",
"}",
",",
"coords",
"=",
"(",
"'x'",
",",
"'y'",
",",
... | https://github.com/pypr/pysph/blob/9cb9a859934939307c65a25cbf73e4ecc83fea4a/pysph/tools/pysph_to_vtk.py#L10-L68 | ||
materialsproject/pymatgen | 8128f3062a334a2edd240e4062b5b9bdd1ae6f58 | pymatgen/analysis/chemenv/connectivity/environment_nodes.py | python | AbstractEnvironmentNode.everything_equal | (self, other) | return self.__eq__(other) and self.central_site == other.central_site | Checks equality with respect to another AbstractEnvironmentNode using the index of the central site
as well as the central site itself. | Checks equality with respect to another AbstractEnvironmentNode using the index of the central site
as well as the central site itself. | [
"Checks",
"equality",
"with",
"respect",
"to",
"another",
"AbstractEnvironmentNode",
"using",
"the",
"index",
"of",
"the",
"central",
"site",
"as",
"well",
"as",
"the",
"central",
"site",
"itself",
"."
] | def everything_equal(self, other):
"""Checks equality with respect to another AbstractEnvironmentNode using the index of the central site
as well as the central site itself."""
return self.__eq__(other) and self.central_site == other.central_site | [
"def",
"everything_equal",
"(",
"self",
",",
"other",
")",
":",
"return",
"self",
".",
"__eq__",
"(",
"other",
")",
"and",
"self",
".",
"central_site",
"==",
"other",
".",
"central_site"
] | https://github.com/materialsproject/pymatgen/blob/8128f3062a334a2edd240e4062b5b9bdd1ae6f58/pymatgen/analysis/chemenv/connectivity/environment_nodes.py#L62-L65 | |
orestis/pysmell | 14382f377f7759a1b6505120990898dd51f175e6 | pysmell/codefinder.py | python | ModuleDict.__len__ | (self) | return len(self.keys()) | [] | def __len__(self):
return len(self.keys()) | [
"def",
"__len__",
"(",
"self",
")",
":",
"return",
"len",
"(",
"self",
".",
"keys",
"(",
")",
")"
] | https://github.com/orestis/pysmell/blob/14382f377f7759a1b6505120990898dd51f175e6/pysmell/codefinder.py#L88-L89 | |||
WGLab/InterVar | 4801682d37982bb3e99b50392790878a568b42cd | Intervar.py | python | check_PP3 | (line,Funcanno_flgs,Allels_flgs) | return(PP3) | Multiple lines of computational evidence support a deleterious effect on the gene or gene product
(conservation, evolutionary, splicing impact, etc.)
sfit for conservation, GERP++_RS for evolutionary, splicing impact from dbNSFP | Multiple lines of computational evidence support a deleterious effect on the gene or gene product
(conservation, evolutionary, splicing impact, etc.)
sfit for conservation, GERP++_RS for evolutionary, splicing impact from dbNSFP | [
"Multiple",
"lines",
"of",
"computational",
"evidence",
"support",
"a",
"deleterious",
"effect",
"on",
"the",
"gene",
"or",
"gene",
"product",
"(",
"conservation",
"evolutionary",
"splicing",
"impact",
"etc",
".",
")",
"sfit",
"for",
"conservation",
"GERP",
"++"... | def check_PP3(line,Funcanno_flgs,Allels_flgs):
'''
Multiple lines of computational evidence support a deleterious effect on the gene or gene product
(conservation, evolutionary, splicing impact, etc.)
sfit for conservation, GERP++_RS for evolutionary, splicing impact from dbNSFP
'''
PP3=0
PP... | [
"def",
"check_PP3",
"(",
"line",
",",
"Funcanno_flgs",
",",
"Allels_flgs",
")",
":",
"PP3",
"=",
"0",
"PP3_t1",
"=",
"0",
"PP3_t2",
"=",
"0",
"PP3_t3",
"=",
"0",
"sift_cutoff",
"=",
"0.05",
"#SIFT_score,SIFT_pred, The smaller the score the more likely the SNP has da... | https://github.com/WGLab/InterVar/blob/4801682d37982bb3e99b50392790878a568b42cd/Intervar.py#L1257-L1307 | |
ValvePython/steam | 7aef9d2df57c2195f35bd85013e1b5ccb04624a5 | steam/guard.py | python | get_time_offset | () | return int(resp.get('response', {}).get('server_time', ts)) - ts | Get time offset from steam server time via WebAPI
:return: time offset (``None`` when Steam WebAPI fails to respond)
:rtype: :class:`int`, :class:`None` | Get time offset from steam server time via WebAPI | [
"Get",
"time",
"offset",
"from",
"steam",
"server",
"time",
"via",
"WebAPI"
] | def get_time_offset():
"""Get time offset from steam server time via WebAPI
:return: time offset (``None`` when Steam WebAPI fails to respond)
:rtype: :class:`int`, :class:`None`
"""
try:
resp = webapi.post('ITwoFactorService', 'QueryTime', 1, params={'http_timeout': 10})
except:
... | [
"def",
"get_time_offset",
"(",
")",
":",
"try",
":",
"resp",
"=",
"webapi",
".",
"post",
"(",
"'ITwoFactorService'",
",",
"'QueryTime'",
",",
"1",
",",
"params",
"=",
"{",
"'http_timeout'",
":",
"10",
"}",
")",
"except",
":",
"return",
"None",
"ts",
"=... | https://github.com/ValvePython/steam/blob/7aef9d2df57c2195f35bd85013e1b5ccb04624a5/steam/guard.py#L548-L560 | |
PUNCH-Cyber/stoq | 8bfc78b226ee6500eb78e1bdf361fc83bc5005b7 | stoq/core.py | python | Stoq.reconstruct_all_subresponses | (
self, stoq_response: StoqResponse
) | Generate a new `StoqResponse` object for each `Payload` within
the `Request` | [] | async def reconstruct_all_subresponses(
self, stoq_response: StoqResponse
) -> AsyncGenerator[StoqResponse, None]:
"""
Generate a new `StoqResponse` object for each `Payload` within
the `Request`
"""
for i, new_root_payload_result in enumerate(stoq_response.results... | [
"async",
"def",
"reconstruct_all_subresponses",
"(",
"self",
",",
"stoq_response",
":",
"StoqResponse",
")",
"->",
"AsyncGenerator",
"[",
"StoqResponse",
",",
"None",
"]",
":",
"for",
"i",
",",
"new_root_payload_result",
"in",
"enumerate",
"(",
"stoq_response",
".... | https://github.com/PUNCH-Cyber/stoq/blob/8bfc78b226ee6500eb78e1bdf361fc83bc5005b7/stoq/core.py#L667-L705 | |||
huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | src/transformers/models/mbart/modeling_tf_mbart.py | python | TFMBartAttention.call | (
self,
hidden_states: tf.Tensor,
key_value_states: Optional[tf.Tensor] = None,
past_key_value: Optional[Tuple[Tuple[tf.Tensor]]] = None,
attention_mask: Optional[tf.Tensor] = None,
layer_head_mask: Optional[tf.Tensor] = None,
training=False,
) | return attn_output, attn_weights, past_key_value | Input shape: Batch x Time x Channel | Input shape: Batch x Time x Channel | [
"Input",
"shape",
":",
"Batch",
"x",
"Time",
"x",
"Channel"
] | def call(
self,
hidden_states: tf.Tensor,
key_value_states: Optional[tf.Tensor] = None,
past_key_value: Optional[Tuple[Tuple[tf.Tensor]]] = None,
attention_mask: Optional[tf.Tensor] = None,
layer_head_mask: Optional[tf.Tensor] = None,
training=False,
) -> Tupl... | [
"def",
"call",
"(",
"self",
",",
"hidden_states",
":",
"tf",
".",
"Tensor",
",",
"key_value_states",
":",
"Optional",
"[",
"tf",
".",
"Tensor",
"]",
"=",
"None",
",",
"past_key_value",
":",
"Optional",
"[",
"Tuple",
"[",
"Tuple",
"[",
"tf",
".",
"Tenso... | https://github.com/huggingface/transformers/blob/623b4f7c63f60cce917677ee704d6c93ee960b4b/src/transformers/models/mbart/modeling_tf_mbart.py#L164-L280 | |
fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | WebMirror/management/rss_parser_funcs/feed_parse_extractLittlebambooHomeBlog.py | python | extractLittlebambooHomeBlog | (item) | return False | Parser for 'littlebamboo.home.blog' | Parser for 'littlebamboo.home.blog' | [
"Parser",
"for",
"littlebamboo",
".",
"home",
".",
"blog"
] | def extractLittlebambooHomeBlog(item):
'''
Parser for 'littlebamboo.home.blog'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('FW', 'Fortunate Wife', 'translated'),
... | [
"def",
"extractLittlebambooHomeBlog",
"(",
"item",
")",
":",
"vol",
",",
"chp",
",",
"frag",
",",
"postfix",
"=",
"extractVolChapterFragmentPostfix",
"(",
"item",
"[",
"'title'",
"]",
")",
"if",
"not",
"(",
"chp",
"or",
"vol",
")",
"or",
"\"preview\"",
"in... | https://github.com/fake-name/ReadableWebProxy/blob/ed5c7abe38706acc2684a1e6cd80242a03c5f010/WebMirror/management/rss_parser_funcs/feed_parse_extractLittlebambooHomeBlog.py#L1-L21 | |
kalliope-project/kalliope | 7b2bb4671c8fbfa0ea9f768c84994fe75da974eb | kalliope/core/Utils/Utils.py | python | Utils.print_yaml_nicely | (to_print) | return line.encode('utf-8') | Used for debug
:param to_print: Dict to print nicely
:return: | Used for debug
:param to_print: Dict to print nicely
:return: | [
"Used",
"for",
"debug",
":",
"param",
"to_print",
":",
"Dict",
"to",
"print",
"nicely",
":",
"return",
":"
] | def print_yaml_nicely(to_print):
"""
Used for debug
:param to_print: Dict to print nicely
:return:
"""
import json
line = json.dumps(to_print, indent=2)
return line.encode('utf-8') | [
"def",
"print_yaml_nicely",
"(",
"to_print",
")",
":",
"import",
"json",
"line",
"=",
"json",
".",
"dumps",
"(",
"to_print",
",",
"indent",
"=",
"2",
")",
"return",
"line",
".",
"encode",
"(",
"'utf-8'",
")"
] | https://github.com/kalliope-project/kalliope/blob/7b2bb4671c8fbfa0ea9f768c84994fe75da974eb/kalliope/core/Utils/Utils.py#L85-L93 | |
Pylons/pyramid | 0b24ac16cc04746b25cf460f1497c157f6d3d6f4 | src/pyramid/static.py | python | ManifestCacheBuster.manifest | (self) | return self._manifest | The current manifest dictionary. | The current manifest dictionary. | [
"The",
"current",
"manifest",
"dictionary",
"."
] | def manifest(self):
""" The current manifest dictionary."""
if self.reload:
if not self.exists(self.manifest_path):
return {}
mtime = self.getmtime(self.manifest_path)
if self._mtime is None or mtime > self._mtime:
self._manifest = self... | [
"def",
"manifest",
"(",
"self",
")",
":",
"if",
"self",
".",
"reload",
":",
"if",
"not",
"self",
".",
"exists",
"(",
"self",
".",
"manifest_path",
")",
":",
"return",
"{",
"}",
"mtime",
"=",
"self",
".",
"getmtime",
"(",
"self",
".",
"manifest_path",... | https://github.com/Pylons/pyramid/blob/0b24ac16cc04746b25cf460f1497c157f6d3d6f4/src/pyramid/static.py#L410-L419 | |
deanishe/alfred-repos | 7f7b3999331808cb58fc33e8793f6be692ed9fe5 | src/workflow/web.py | python | Response.raise_for_status | (self) | return | Raise stored error if one occurred.
error will be instance of :class:`urllib2.HTTPError` | Raise stored error if one occurred. | [
"Raise",
"stored",
"error",
"if",
"one",
"occurred",
"."
] | def raise_for_status(self):
"""Raise stored error if one occurred.
error will be instance of :class:`urllib2.HTTPError`
"""
if self.error is not None:
raise self.error
return | [
"def",
"raise_for_status",
"(",
"self",
")",
":",
"if",
"self",
".",
"error",
"is",
"not",
"None",
":",
"raise",
"self",
".",
"error",
"return"
] | https://github.com/deanishe/alfred-repos/blob/7f7b3999331808cb58fc33e8793f6be692ed9fe5/src/workflow/web.py#L423-L430 | |
DamnWidget/anaconda | a9998fb362320f907d5ccbc6fcf5b62baca677c0 | anaconda_lib/autopep/autopep8_lib/autopep8.py | python | extract_code_from_function | (function) | return code | Return code handled by function. | Return code handled by function. | [
"Return",
"code",
"handled",
"by",
"function",
"."
] | def extract_code_from_function(function):
"""Return code handled by function."""
if not function.__name__.startswith('fix_'):
return None
code = re.sub('^fix_', '', function.__name__)
if not code:
return None
try:
int(code[1:])
except ValueError:
return None
... | [
"def",
"extract_code_from_function",
"(",
"function",
")",
":",
"if",
"not",
"function",
".",
"__name__",
".",
"startswith",
"(",
"'fix_'",
")",
":",
"return",
"None",
"code",
"=",
"re",
".",
"sub",
"(",
"'^fix_'",
",",
"''",
",",
"function",
".",
"__nam... | https://github.com/DamnWidget/anaconda/blob/a9998fb362320f907d5ccbc6fcf5b62baca677c0/anaconda_lib/autopep/autopep8_lib/autopep8.py#L3245-L3259 | |
Azure/WALinuxAgent | c964d70282de17ab439be21d7ab32373c3965f59 | azurelinuxagent/common/osutil/ubuntu.py | python | UbuntuOSUtil.restart_if | (self, ifname, retries=3, wait=5) | Restart an interface by bouncing the link. systemd-networkd observes
this event, and forces a renew of DHCP. | Restart an interface by bouncing the link. systemd-networkd observes
this event, and forces a renew of DHCP. | [
"Restart",
"an",
"interface",
"by",
"bouncing",
"the",
"link",
".",
"systemd",
"-",
"networkd",
"observes",
"this",
"event",
"and",
"forces",
"a",
"renew",
"of",
"DHCP",
"."
] | def restart_if(self, ifname, retries=3, wait=5):
"""
Restart an interface by bouncing the link. systemd-networkd observes
this event, and forces a renew of DHCP.
"""
retry_limit = retries+1
for attempt in range(1, retry_limit):
return_code = shellutil.run("ip ... | [
"def",
"restart_if",
"(",
"self",
",",
"ifname",
",",
"retries",
"=",
"3",
",",
"wait",
"=",
"5",
")",
":",
"retry_limit",
"=",
"retries",
"+",
"1",
"for",
"attempt",
"in",
"range",
"(",
"1",
",",
"retry_limit",
")",
":",
"return_code",
"=",
"shellut... | https://github.com/Azure/WALinuxAgent/blob/c964d70282de17ab439be21d7ab32373c3965f59/azurelinuxagent/common/osutil/ubuntu.py#L140-L155 | ||
naftaliharris/tauthon | 5587ceec329b75f7caf6d65a036db61ac1bae214 | Lib/concurrent/futures/process.py | python | _queue_management_worker | (executor_reference,
processes,
pending_work_items,
work_ids_queue,
call_queue,
result_queue) | Manages the communication between this process and the worker processes.
This function is run in a local thread.
Args:
executor_reference: A weakref.ref to the ProcessPoolExecutor that owns
this thread. Used to determine if the ProcessPoolExecutor has been
garbage collected and... | Manages the communication between this process and the worker processes. | [
"Manages",
"the",
"communication",
"between",
"this",
"process",
"and",
"the",
"worker",
"processes",
"."
] | def _queue_management_worker(executor_reference,
processes,
pending_work_items,
work_ids_queue,
call_queue,
result_queue):
"""Manages the communication between this proces... | [
"def",
"_queue_management_worker",
"(",
"executor_reference",
",",
"processes",
",",
"pending_work_items",
",",
"work_ids_queue",
",",
"call_queue",
",",
"result_queue",
")",
":",
"executor",
"=",
"None",
"def",
"shutting_down",
"(",
")",
":",
"return",
"_shutdown",... | https://github.com/naftaliharris/tauthon/blob/5587ceec329b75f7caf6d65a036db61ac1bae214/Lib/concurrent/futures/process.py#L199-L312 | ||
omni-us/squeezedet-keras | cb3555041cbb175221a42f83677023dbfcbdd00d | main/utils/utils.py | python | iou | (box1, box2) | return 0 | Compute the Intersection-Over-Union of two given boxes.
Args:
box1: array of 4 elements [cx, cy, width, height].
box2: same as above
Returns:
iou: a float number in range [0, 1]. iou of the two boxes. | Compute the Intersection-Over-Union of two given boxes. | [
"Compute",
"the",
"Intersection",
"-",
"Over",
"-",
"Union",
"of",
"two",
"given",
"boxes",
"."
] | def iou(box1, box2):
"""Compute the Intersection-Over-Union of two given boxes.
Args:
box1: array of 4 elements [cx, cy, width, height].
box2: same as above
Returns:
iou: a float number in range [0, 1]. iou of the two boxes.
"""
lr = min(box1[0]+0.5*box1[2], box2[0]+0.5*box2[2]) - \
max(bo... | [
"def",
"iou",
"(",
"box1",
",",
"box2",
")",
":",
"lr",
"=",
"min",
"(",
"box1",
"[",
"0",
"]",
"+",
"0.5",
"*",
"box1",
"[",
"2",
"]",
",",
"box2",
"[",
"0",
"]",
"+",
"0.5",
"*",
"box2",
"[",
"2",
"]",
")",
"-",
"max",
"(",
"box1",
"[... | https://github.com/omni-us/squeezedet-keras/blob/cb3555041cbb175221a42f83677023dbfcbdd00d/main/utils/utils.py#L18-L39 | |
ipython/ipyparallel | d35d4fb9501da5b3280b11e83ed633a95f17be1d | ipyparallel/client/asyncresult.py | python | AsyncResult._collect_exceptions | (self, results) | Wrap Exceptions in a CompositeError
if self._return_exceptions is True, this is a no-op | Wrap Exceptions in a CompositeError | [
"Wrap",
"Exceptions",
"in",
"a",
"CompositeError"
] | def _collect_exceptions(self, results):
"""Wrap Exceptions in a CompositeError
if self._return_exceptions is True, this is a no-op
"""
if self._return_exceptions:
return results
else:
return error.collect_exceptions(results, self._fname) | [
"def",
"_collect_exceptions",
"(",
"self",
",",
"results",
")",
":",
"if",
"self",
".",
"_return_exceptions",
":",
"return",
"results",
"else",
":",
"return",
"error",
".",
"collect_exceptions",
"(",
"results",
",",
"self",
".",
"_fname",
")"
] | https://github.com/ipython/ipyparallel/blob/d35d4fb9501da5b3280b11e83ed633a95f17be1d/ipyparallel/client/asyncresult.py#L548-L556 | ||
spack/spack | 675210bd8bd1c5d32ad1cc83d898fb43b569ed74 | lib/spack/spack/fetch_strategy.py | python | FetchStrategy.archive | (self, destination) | Create an archive of the downloaded data for a mirror.
For downloaded files, this should preserve the checksum of the
original file. For repositories, it should just create an
expandable tarball out of the downloaded repository. | Create an archive of the downloaded data for a mirror. | [
"Create",
"an",
"archive",
"of",
"the",
"downloaded",
"data",
"for",
"a",
"mirror",
"."
] | def archive(self, destination):
"""Create an archive of the downloaded data for a mirror.
For downloaded files, this should preserve the checksum of the
original file. For repositories, it should just create an
expandable tarball out of the downloaded repository.
""" | [
"def",
"archive",
"(",
"self",
",",
"destination",
")",
":"
] | https://github.com/spack/spack/blob/675210bd8bd1c5d32ad1cc83d898fb43b569ed74/lib/spack/spack/fetch_strategy.py#L139-L145 | ||
dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/apps/userreports/custom/data_source.py | python | ConfigurableReportCustomDataSource.helper | (self) | [] | def helper(self):
if self.config.backend_id == 'SQL':
return ConfigurableReportCustomSQLDataSourceHelper(self) | [
"def",
"helper",
"(",
"self",
")",
":",
"if",
"self",
".",
"config",
".",
"backend_id",
"==",
"'SQL'",
":",
"return",
"ConfigurableReportCustomSQLDataSourceHelper",
"(",
"self",
")"
] | https://github.com/dimagi/commcare-hq/blob/d67ff1d3b4c51fa050c19e60c3253a79d3452a39/corehq/apps/userreports/custom/data_source.py#L22-L24 | ||||
robotlearn/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | pyrobolearn/policies/policy.py | python | Policy.inner_predict | (self, state_data, deterministic=True, to_numpy=False, return_logits=True, set_output_data=False) | return self.model.predict(state_data, to_numpy=to_numpy) | Inner prediction step.
Args:
state_data ((list of) torch.Tensor, (list of) np.array): state data.
deterministic (bool): True by default. It can only be set to False, if the policy is stochastic.
to_numpy (bool): If True, it will convert the data (torch.Tensors) to numpy arra... | Inner prediction step. | [
"Inner",
"prediction",
"step",
"."
] | def inner_predict(self, state_data, deterministic=True, to_numpy=False, return_logits=True, set_output_data=False):
"""Inner prediction step.
Args:
state_data ((list of) torch.Tensor, (list of) np.array): state data.
deterministic (bool): True by default. It can only be set to F... | [
"def",
"inner_predict",
"(",
"self",
",",
"state_data",
",",
"deterministic",
"=",
"True",
",",
"to_numpy",
"=",
"False",
",",
"return_logits",
"=",
"True",
",",
"set_output_data",
"=",
"False",
")",
":",
"if",
"isinstance",
"(",
"self",
".",
"model",
",",... | https://github.com/robotlearn/pyrobolearn/blob/9cd7c060723fda7d2779fa255ac998c2c82b8436/pyrobolearn/policies/policy.py#L445-L463 | |
ronf/asyncssh | ee1714c598d8c2ea6f5484e465443f38b68714aa | asyncssh/kex_dh.py | python | _KexDHBase._parse_client_key | (self, packet: SSHPacket) | Parse a DH client key | Parse a DH client key | [
"Parse",
"a",
"DH",
"client",
"key"
] | def _parse_client_key(self, packet: SSHPacket) -> None:
"""Parse a DH client key"""
if not self._p:
raise ProtocolError('Kex DH p not specified')
self._e = packet.get_mpint() | [
"def",
"_parse_client_key",
"(",
"self",
",",
"packet",
":",
"SSHPacket",
")",
"->",
"None",
":",
"if",
"not",
"self",
".",
"_p",
":",
"raise",
"ProtocolError",
"(",
"'Kex DH p not specified'",
")",
"self",
".",
"_e",
"=",
"packet",
".",
"get_mpint",
"(",
... | https://github.com/ronf/asyncssh/blob/ee1714c598d8c2ea6f5484e465443f38b68714aa/asyncssh/kex_dh.py#L158-L164 | ||
EdinburghNLP/nematus | d55074a2e342a33a4d5b0288cbad6269bd47271d | nematus/metrics/beer.py | python | BeerScorer.set_reference | (self, reference_tokens) | Construct a BeerReference from a sequence of tokens and make it the reference against which the scorer evaluates hypotheses.
This can be done any time. | Construct a BeerReference from a sequence of tokens and make it the reference against which the scorer evaluates hypotheses.
This can be done any time. | [
"Construct",
"a",
"BeerReference",
"from",
"a",
"sequence",
"of",
"tokens",
"and",
"make",
"it",
"the",
"reference",
"against",
"which",
"the",
"scorer",
"evaluates",
"hypotheses",
".",
"This",
"can",
"be",
"done",
"any",
"time",
"."
] | def set_reference(self, reference_tokens):
"""
Construct a BeerReference from a sequence of tokens and make it the reference against which the scorer evaluates hypotheses.
This can be done any time.
"""
self.lock.acquire()
self._reference = BeerReference(reference_tokens,... | [
"def",
"set_reference",
"(",
"self",
",",
"reference_tokens",
")",
":",
"self",
".",
"lock",
".",
"acquire",
"(",
")",
"self",
".",
"_reference",
"=",
"BeerReference",
"(",
"reference_tokens",
",",
"self",
")",
"self",
".",
"lock",
".",
"release",
"(",
"... | https://github.com/EdinburghNLP/nematus/blob/d55074a2e342a33a4d5b0288cbad6269bd47271d/nematus/metrics/beer.py#L44-L51 | ||
FutunnOpen/py-futu-api | b8f9fb1f26f35f99630ca47863f5595b6e635533 | futu/trade/open_trade_context.py | python | OpenTradeContextBase.on_api_socket_reconnected | (self) | return ret, msg | for API socket reconnected | for API socket reconnected | [
"for",
"API",
"socket",
"reconnected"
] | def on_api_socket_reconnected(self):
"""for API socket reconnected"""
self.__is_acc_sub_push = False
self.__last_acc_list = []
ret, msg = RET_OK, ''
# auto unlock trade
if self._ctx_unlock is not None:
password, password_md5 = self._ctx_unlock
ret... | [
"def",
"on_api_socket_reconnected",
"(",
"self",
")",
":",
"self",
".",
"__is_acc_sub_push",
"=",
"False",
"self",
".",
"__last_acc_list",
"=",
"[",
"]",
"ret",
",",
"msg",
"=",
"RET_OK",
",",
"''",
"# auto unlock trade",
"if",
"self",
".",
"_ctx_unlock",
"i... | https://github.com/FutunnOpen/py-futu-api/blob/b8f9fb1f26f35f99630ca47863f5595b6e635533/futu/trade/open_trade_context.py#L34-L52 | |
sshaoshuai/PointRCNN | 1d0dee91262b970f460135252049112d80259ca0 | lib/utils/loss_utils.py | python | SigmoidFocalClassificationLoss.__init__ | (self, gamma=2.0, alpha=0.25) | Constructor.
Args:
gamma: exponent of the modulating factor (1 - p_t) ^ gamma.
alpha: optional alpha weighting factor to balance positives vs negatives.
all_zero_negative: bool. if True, will treat all zero as background.
else, will treat first label as background... | Constructor.
Args:
gamma: exponent of the modulating factor (1 - p_t) ^ gamma.
alpha: optional alpha weighting factor to balance positives vs negatives.
all_zero_negative: bool. if True, will treat all zero as background.
else, will treat first label as background... | [
"Constructor",
".",
"Args",
":",
"gamma",
":",
"exponent",
"of",
"the",
"modulating",
"factor",
"(",
"1",
"-",
"p_t",
")",
"^",
"gamma",
".",
"alpha",
":",
"optional",
"alpha",
"weighting",
"factor",
"to",
"balance",
"positives",
"vs",
"negatives",
".",
... | def __init__(self, gamma=2.0, alpha=0.25):
"""Constructor.
Args:
gamma: exponent of the modulating factor (1 - p_t) ^ gamma.
alpha: optional alpha weighting factor to balance positives vs negatives.
all_zero_negative: bool. if True, will treat all zero as background.
... | [
"def",
"__init__",
"(",
"self",
",",
"gamma",
"=",
"2.0",
",",
"alpha",
"=",
"0.25",
")",
":",
"super",
"(",
")",
".",
"__init__",
"(",
")",
"self",
".",
"_alpha",
"=",
"alpha",
"self",
".",
"_gamma",
"=",
"gamma"
] | https://github.com/sshaoshuai/PointRCNN/blob/1d0dee91262b970f460135252049112d80259ca0/lib/utils/loss_utils.py#L29-L39 | ||
slinderman/pyhawkes | 0df433a40c5e6d8c1dcdb98ffc88fe3a403ac223 | pyhawkes/internals/impulses.py | python | SBMDirichletImpulseResponses.expected_log_g | (self) | return E_lng | Compute the expected log impulse response vector wrt c and mf_gamma
:return: | Compute the expected log impulse response vector wrt c and mf_gamma
:return: | [
"Compute",
"the",
"expected",
"log",
"impulse",
"response",
"vector",
"wrt",
"c",
"and",
"mf_gamma",
":",
"return",
":"
] | def expected_log_g(self):
"""
Compute the expected log impulse response vector wrt c and mf_gamma
:return:
"""
raise NotImplementedError()
E_lng = np.zeros_like(self.mf_gamma)
# \psi(\sum_{b} \gamma_b)
trm2 = psi(self.mf_gamma.sum(axis=2))
for b i... | [
"def",
"expected_log_g",
"(",
"self",
")",
":",
"raise",
"NotImplementedError",
"(",
")",
"E_lng",
"=",
"np",
".",
"zeros_like",
"(",
"self",
".",
"mf_gamma",
")",
"# \\psi(\\sum_{b} \\gamma_b)",
"trm2",
"=",
"psi",
"(",
"self",
".",
"mf_gamma",
".",
"sum",
... | https://github.com/slinderman/pyhawkes/blob/0df433a40c5e6d8c1dcdb98ffc88fe3a403ac223/pyhawkes/internals/impulses.py#L267-L280 | |
jython/jython3 | def4f8ec47cb7a9c799ea4c745f12badf92c5769 | lib-python/3.5.1/http/cookiejar.py | python | CookieJar._normalized_cookie_tuples | (self, attrs_set) | return cookie_tuples | Return list of tuples containing normalised cookie information.
attrs_set is the list of lists of key,value pairs extracted from
the Set-Cookie or Set-Cookie2 headers.
Tuples are name, value, standard, rest, where name and value are the
cookie name and value, standard is a dictionary c... | Return list of tuples containing normalised cookie information. | [
"Return",
"list",
"of",
"tuples",
"containing",
"normalised",
"cookie",
"information",
"."
] | def _normalized_cookie_tuples(self, attrs_set):
"""Return list of tuples containing normalised cookie information.
attrs_set is the list of lists of key,value pairs extracted from
the Set-Cookie or Set-Cookie2 headers.
Tuples are name, value, standard, rest, where name and value are th... | [
"def",
"_normalized_cookie_tuples",
"(",
"self",
",",
"attrs_set",
")",
":",
"cookie_tuples",
"=",
"[",
"]",
"boolean_attrs",
"=",
"\"discard\"",
",",
"\"secure\"",
"value_attrs",
"=",
"(",
"\"version\"",
",",
"\"expires\"",
",",
"\"max-age\"",
",",
"\"domain\"",
... | https://github.com/jython/jython3/blob/def4f8ec47cb7a9c799ea4c745f12badf92c5769/lib-python/3.5.1/http/cookiejar.py#L1364-L1459 | |
SteveDoyle2/pyNastran | eda651ac2d4883d95a34951f8a002ff94f642a1a | pyNastran/converters/usm3d/usm3d_reader.py | python | read_flo | (flo_filename, n=None, node_ids=None) | return node_id, loads | reads a *.flo file | reads a *.flo file | [
"reads",
"a",
"*",
".",
"flo",
"file"
] | def read_flo(flo_filename, n=None, node_ids=None):
"""reads a *.flo file"""
result_names = ['Mach', 'U', 'V', 'W', 'T', 'rho', 'rhoU', 'rhoV', 'rhoW', 'p', 'Cp']
is_sparse = None
if n is None:
assert node_ids is not None, node_ids
assert len(node_ids) > 0, node_ids
n = len(node_... | [
"def",
"read_flo",
"(",
"flo_filename",
",",
"n",
"=",
"None",
",",
"node_ids",
"=",
"None",
")",
":",
"result_names",
"=",
"[",
"'Mach'",
",",
"'U'",
",",
"'V'",
",",
"'W'",
",",
"'T'",
",",
"'rho'",
",",
"'rhoU'",
",",
"'rhoV'",
",",
"'rhoW'",
",... | https://github.com/SteveDoyle2/pyNastran/blob/eda651ac2d4883d95a34951f8a002ff94f642a1a/pyNastran/converters/usm3d/usm3d_reader.py#L517-L748 | |
HarshUpadhyay/TesseractTrainer | c50a3663af579ae0d847e770c382466c57d3e7d6 | tesseract_trainer/__init__.py | python | TesseractTrainer._generate_boxfile | (self) | Generate a multipage tif, filled with the training text and generate a boxfile
from the coordinates of the characters inside it | Generate a multipage tif, filled with the training text and generate a boxfile
from the coordinates of the characters inside it | [
"Generate",
"a",
"multipage",
"tif",
"filled",
"with",
"the",
"training",
"text",
"and",
"generate",
"a",
"boxfile",
"from",
"the",
"coordinates",
"of",
"the",
"characters",
"inside",
"it"
] | def _generate_boxfile(self):
""" Generate a multipage tif, filled with the training text and generate a boxfile
from the coordinates of the characters inside it
"""
mp = MultiPageTif(self.training_text, 3600, 3600, 50,50, self.font_name, self.font_path,
self.font_size, se... | [
"def",
"_generate_boxfile",
"(",
"self",
")",
":",
"mp",
"=",
"MultiPageTif",
"(",
"self",
".",
"training_text",
",",
"3600",
",",
"3600",
",",
"50",
",",
"50",
",",
"self",
".",
"font_name",
",",
"self",
".",
"font_path",
",",
"self",
".",
"font_size"... | https://github.com/HarshUpadhyay/TesseractTrainer/blob/c50a3663af579ae0d847e770c382466c57d3e7d6/tesseract_trainer/__init__.py#L90-L97 | ||
returntocorp/bento | 05b365da71b65170d41fe92a702480ab76c1d17c | bento/error.py | python | NoIgnoreFileException.__init__ | (self, context: BaseContext) | [] | def __init__(self, context: BaseContext) -> None:
super().__init__()
self.msg = f"No ignore file found (looked in {context.ignore_file_path}). Please run `bento init`." | [
"def",
"__init__",
"(",
"self",
",",
"context",
":",
"BaseContext",
")",
"->",
"None",
":",
"super",
"(",
")",
".",
"__init__",
"(",
")",
"self",
".",
"msg",
"=",
"f\"No ignore file found (looked in {context.ignore_file_path}). Please run `bento init`.\""
] | https://github.com/returntocorp/bento/blob/05b365da71b65170d41fe92a702480ab76c1d17c/bento/error.py#L39-L41 | ||||
Source-Python-Dev-Team/Source.Python | d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb | addons/source-python/packages/site-packages/path.py | python | Path.write_text | (self, text, encoding=None, errors='strict',
linesep=os.linesep, append=False) | r""" Write the given text to this file.
The default behavior is to overwrite any existing file;
to append instead, use the `append=True` keyword argument.
There are two differences between :meth:`write_text` and
:meth:`write_bytes`: newline handling and Unicode handling.
See be... | r""" Write the given text to this file. | [
"r",
"Write",
"the",
"given",
"text",
"to",
"this",
"file",
"."
] | def write_text(self, text, encoding=None, errors='strict',
linesep=os.linesep, append=False):
r""" Write the given text to this file.
The default behavior is to overwrite any existing file;
to append instead, use the `append=True` keyword argument.
There are two diff... | [
"def",
"write_text",
"(",
"self",
",",
"text",
",",
"encoding",
"=",
"None",
",",
"errors",
"=",
"'strict'",
",",
"linesep",
"=",
"os",
".",
"linesep",
",",
"append",
"=",
"False",
")",
":",
"if",
"isinstance",
"(",
"text",
",",
"text_type",
")",
":"... | https://github.com/Source-Python-Dev-Team/Source.Python/blob/d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb/addons/source-python/packages/site-packages/path.py#L792-L864 | ||
linxid/Machine_Learning_Study_Path | 558e82d13237114bbb8152483977806fc0c222af | Machine Learning In Action/Chapter5-LogisticRegression/venv/Lib/site-packages/pkg_resources/_vendor/six.py | python | Module_six_moves_urllib.__dir__ | (self) | return ['parse', 'error', 'request', 'response', 'robotparser'] | [] | def __dir__(self):
return ['parse', 'error', 'request', 'response', 'robotparser'] | [
"def",
"__dir__",
"(",
"self",
")",
":",
"return",
"[",
"'parse'",
",",
"'error'",
",",
"'request'",
",",
"'response'",
",",
"'robotparser'",
"]"
] | https://github.com/linxid/Machine_Learning_Study_Path/blob/558e82d13237114bbb8152483977806fc0c222af/Machine Learning In Action/Chapter5-LogisticRegression/venv/Lib/site-packages/pkg_resources/_vendor/six.py#L479-L480 | |||
tp4a/teleport | 1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad | server/www/packages/packages-darwin/x64/tornado/web.py | python | RequestHandler.check_etag_header | (self) | return match | Checks the ``Etag`` header against requests's ``If-None-Match``.
Returns ``True`` if the request's Etag matches and a 304 should be
returned. For example::
self.set_etag_header()
if self.check_etag_header():
self.set_status(304)
return
T... | Checks the ``Etag`` header against requests's ``If-None-Match``. | [
"Checks",
"the",
"Etag",
"header",
"against",
"requests",
"s",
"If",
"-",
"None",
"-",
"Match",
"."
] | def check_etag_header(self):
"""Checks the ``Etag`` header against requests's ``If-None-Match``.
Returns ``True`` if the request's Etag matches and a 304 should be
returned. For example::
self.set_etag_header()
if self.check_etag_header():
self.set_statu... | [
"def",
"check_etag_header",
"(",
"self",
")",
":",
"computed_etag",
"=",
"utf8",
"(",
"self",
".",
"_headers",
".",
"get",
"(",
"\"Etag\"",
",",
"\"\"",
")",
")",
"# Find all weak and strong etag values from If-None-Match header",
"# because RFC 7232 allows multiple etag ... | https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-darwin/x64/tornado/web.py#L1501-L1540 | |
a312863063/seeprettyface-generator-yellow | c75b95b56c40036d00b35f3e140cc4a45598e077 | dnnlib/tflib/network.py | python | Network.list_ops | (self) | return ops | [] | def list_ops(self) -> List[TfExpression]:
include_prefix = self.scope + "/"
exclude_prefix = include_prefix + "_"
ops = tf.get_default_graph().get_operations()
ops = [op for op in ops if op.name.startswith(include_prefix)]
ops = [op for op in ops if not op.name.startswith(exclude... | [
"def",
"list_ops",
"(",
"self",
")",
"->",
"List",
"[",
"TfExpression",
"]",
":",
"include_prefix",
"=",
"self",
".",
"scope",
"+",
"\"/\"",
"exclude_prefix",
"=",
"include_prefix",
"+",
"\"_\"",
"ops",
"=",
"tf",
".",
"get_default_graph",
"(",
")",
".",
... | https://github.com/a312863063/seeprettyface-generator-yellow/blob/c75b95b56c40036d00b35f3e140cc4a45598e077/dnnlib/tflib/network.py#L457-L463 | |||
AkariAsai/learning_to_retrieve_reasoning_paths | a020d52cfbbb7d7fca9fa25361e549c85e81875c | graph_retriever/modeling_graph_retriever.py | python | BertForGraphRetriever.weight_norm | (self, state) | return state | [] | def weight_norm(self, state):
state = state / state.norm(dim = 2).unsqueeze(2)
state = self.g * state
return state | [
"def",
"weight_norm",
"(",
"self",
",",
"state",
")",
":",
"state",
"=",
"state",
"/",
"state",
".",
"norm",
"(",
"dim",
"=",
"2",
")",
".",
"unsqueeze",
"(",
"2",
")",
"state",
"=",
"self",
".",
"g",
"*",
"state",
"return",
"state"
] | https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths/blob/a020d52cfbbb7d7fca9fa25361e549c85e81875c/graph_retriever/modeling_graph_retriever.py#L47-L50 | |||
pytroll/satpy | 09e51f932048f98cce7919a4ff8bd2ec01e1ae98 | satpy/readers/fci_l1c_nc.py | python | FCIL1cNCFileHandler.calibrate | (self, data, key) | return data | Calibrate data. | Calibrate data. | [
"Calibrate",
"data",
"."
] | def calibrate(self, data, key):
"""Calibrate data."""
if key['calibration'] in ['brightness_temperature', 'reflectance', 'radiance']:
data = self.calibrate_counts_to_physical_quantity(data, key)
elif key['calibration'] != "counts":
logger.error(
"Received ... | [
"def",
"calibrate",
"(",
"self",
",",
"data",
",",
"key",
")",
":",
"if",
"key",
"[",
"'calibration'",
"]",
"in",
"[",
"'brightness_temperature'",
",",
"'reflectance'",
",",
"'radiance'",
"]",
":",
"data",
"=",
"self",
".",
"calibrate_counts_to_physical_quanti... | https://github.com/pytroll/satpy/blob/09e51f932048f98cce7919a4ff8bd2ec01e1ae98/satpy/readers/fci_l1c_nc.py#L441-L451 | |
EventGhost/EventGhost | 177be516849e74970d2e13cda82244be09f277ce | lib27/site-packages/tornado/ioloop.py | python | PeriodicCallback.is_running | (self) | return self._running | Return True if this `.PeriodicCallback` has been started.
.. versionadded:: 4.1 | Return True if this `.PeriodicCallback` has been started. | [
"Return",
"True",
"if",
"this",
".",
"PeriodicCallback",
"has",
"been",
"started",
"."
] | def is_running(self):
"""Return True if this `.PeriodicCallback` has been started.
.. versionadded:: 4.1
"""
return self._running | [
"def",
"is_running",
"(",
"self",
")",
":",
"return",
"self",
".",
"_running"
] | https://github.com/EventGhost/EventGhost/blob/177be516849e74970d2e13cda82244be09f277ce/lib27/site-packages/tornado/ioloop.py#L1028-L1033 | |
mudpi/mudpi-core | fb206b1136f529c7197f1e6b29629ed05630d377 | mudpi/extensions/sun/sensor.py | python | SunSensor.restore_state | (self, state) | Retstore state to prevent calls after multiple restarts | Retstore state to prevent calls after multiple restarts | [
"Retstore",
"state",
"to",
"prevent",
"calls",
"after",
"multiple",
"restarts"
] | def restore_state(self, state):
""" Retstore state to prevent calls after multiple restarts """
self._sunrise = state.state["sunrise"]
self._sunset = state.state["sunset"]
self._solar_noon = state.state["solar_noon"]
self._day_length = state.state["day_length"]
try:
... | [
"def",
"restore_state",
"(",
"self",
",",
"state",
")",
":",
"self",
".",
"_sunrise",
"=",
"state",
".",
"state",
"[",
"\"sunrise\"",
"]",
"self",
".",
"_sunset",
"=",
"state",
".",
"state",
"[",
"\"sunset\"",
"]",
"self",
".",
"_solar_noon",
"=",
"sta... | https://github.com/mudpi/mudpi-core/blob/fb206b1136f529c7197f1e6b29629ed05630d377/mudpi/extensions/sun/sensor.py#L108-L122 | ||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/olefile/olefile.py | python | OleFileIO.loadfat_sect | (self, sect) | return isect | Adds the indexes of the given sector to the FAT
:param sect: string containing the first FAT sector, or array of long integers
:returns: index of last FAT sector. | Adds the indexes of the given sector to the FAT | [
"Adds",
"the",
"indexes",
"of",
"the",
"given",
"sector",
"to",
"the",
"FAT"
] | def loadfat_sect(self, sect):
"""
Adds the indexes of the given sector to the FAT
:param sect: string containing the first FAT sector, or array of long integers
:returns: index of last FAT sector.
"""
# a FAT sector is an array of ulong integers.
if isinstance(se... | [
"def",
"loadfat_sect",
"(",
"self",
",",
"sect",
")",
":",
"# a FAT sector is an array of ulong integers.",
"if",
"isinstance",
"(",
"sect",
",",
"array",
".",
"array",
")",
":",
"# if sect is already an array it is directly used",
"fat1",
"=",
"sect",
"else",
":",
... | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/olefile/olefile.py#L1450-L1483 | |
linuxscout/mishkal | 4f4ae0ebc2d6acbeb3de3f0303151ec7b54d2f76 | interfaces/web/lib/paste/flup_session.py | python | make_session_middleware | (app, global_conf,
session_type=NoDefault,
cookie_name=NoDefault,
**store_config) | return SessionMiddleware(
app, global_conf=global_conf,
session_type=session_type, cookie_name=cookie_name,
**store_config) | Wraps the application in a session-managing middleware.
The session service can then be found in
``environ['paste.flup_session_service']`` | Wraps the application in a session-managing middleware.
The session service can then be found in
``environ['paste.flup_session_service']`` | [
"Wraps",
"the",
"application",
"in",
"a",
"session",
"-",
"managing",
"middleware",
".",
"The",
"session",
"service",
"can",
"then",
"be",
"found",
"in",
"environ",
"[",
"paste",
".",
"flup_session_service",
"]"
] | def make_session_middleware(app, global_conf,
session_type=NoDefault,
cookie_name=NoDefault,
**store_config):
"""
Wraps the application in a session-managing middleware.
The session service can then be found in
``environ... | [
"def",
"make_session_middleware",
"(",
"app",
",",
"global_conf",
",",
"session_type",
"=",
"NoDefault",
",",
"cookie_name",
"=",
"NoDefault",
",",
"*",
"*",
"store_config",
")",
":",
"return",
"SessionMiddleware",
"(",
"app",
",",
"global_conf",
"=",
"global_co... | https://github.com/linuxscout/mishkal/blob/4f4ae0ebc2d6acbeb3de3f0303151ec7b54d2f76/interfaces/web/lib/paste/flup_session.py#L96-L108 | |
plotly/plotly.py | cfad7862594b35965c0e000813bd7805e8494a5b | packages/python/plotly/plotly/graph_objs/histogram2dcontour/_colorbar.py | python | ColorBar.ticklabeloverflow | (self) | return self["ticklabeloverflow"] | Determines how we handle tick labels that would overflow either
the graph div or the domain of the axis. The default value for
inside tick labels is *hide past domain*. In other cases the
default is *hide past div*.
The 'ticklabeloverflow' property is an enumeration that may be spec... | Determines how we handle tick labels that would overflow either
the graph div or the domain of the axis. The default value for
inside tick labels is *hide past domain*. In other cases the
default is *hide past div*.
The 'ticklabeloverflow' property is an enumeration that may be spec... | [
"Determines",
"how",
"we",
"handle",
"tick",
"labels",
"that",
"would",
"overflow",
"either",
"the",
"graph",
"div",
"or",
"the",
"domain",
"of",
"the",
"axis",
".",
"The",
"default",
"value",
"for",
"inside",
"tick",
"labels",
"is",
"*",
"hide",
"past",
... | def ticklabeloverflow(self):
"""
Determines how we handle tick labels that would overflow either
the graph div or the domain of the axis. The default value for
inside tick labels is *hide past domain*. In other cases the
default is *hide past div*.
The 'ticklabelover... | [
"def",
"ticklabeloverflow",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"ticklabeloverflow\"",
"]"
] | https://github.com/plotly/plotly.py/blob/cfad7862594b35965c0e000813bd7805e8494a5b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_colorbar.py#L879-L894 | |
modflowpy/flopy | eecd1ad193c5972093c9712e5c4b7a83284f0688 | flopy/modflow/mfsfr2.py | python | ModflowSfr2.get_outlets | (self, level=0, verbose=True) | return txt | Traces all routing connections from each headwater to the outlet. | Traces all routing connections from each headwater to the outlet. | [
"Traces",
"all",
"routing",
"connections",
"from",
"each",
"headwater",
"to",
"the",
"outlet",
"."
] | def get_outlets(self, level=0, verbose=True):
"""
Traces all routing connections from each headwater to the outlet.
"""
txt = ""
for per in range(self.nper):
if (
per > 0 > self.dataset_5[per][0]
): # skip stress periods where seg data not... | [
"def",
"get_outlets",
"(",
"self",
",",
"level",
"=",
"0",
",",
"verbose",
"=",
"True",
")",
":",
"txt",
"=",
"\"\"",
"for",
"per",
"in",
"range",
"(",
"self",
".",
"nper",
")",
":",
"if",
"(",
"per",
">",
"0",
">",
"self",
".",
"dataset_5",
"[... | https://github.com/modflowpy/flopy/blob/eecd1ad193c5972093c9712e5c4b7a83284f0688/flopy/modflow/mfsfr2.py#L1198-L1288 | |
karolzak/keras-unet | 9b7aff5247fff75dc4e2a11ba9c45929b9166d1f | keras_unet/utils.py | python | get_augmented | (
X_train,
Y_train,
X_val=None,
Y_val=None,
batch_size=32,
seed=0,
data_gen_args=dict(
rotation_range=10.0,
# width_shift_range=0.02,
height_shift_range=0.02,
shear_range=5,
# zoom_range=0.3,
horizontal_flip=True,
vertical_flip=False,
... | [summary]
Args:
X_train (numpy.ndarray): [description]
Y_train (numpy.ndarray): [description]
X_val (numpy.ndarray, optional): [description]. Defaults to None.
Y_val (numpy.ndarray, optional): [description]. Defaults to None.
batch_size (int, optional): [description]. De... | [summary]
Args:
X_train (numpy.ndarray): [description]
Y_train (numpy.ndarray): [description]
X_val (numpy.ndarray, optional): [description]. Defaults to None.
Y_val (numpy.ndarray, optional): [description]. Defaults to None.
batch_size (int, optional): [description]. De... | [
"[",
"summary",
"]",
"Args",
":",
"X_train",
"(",
"numpy",
".",
"ndarray",
")",
":",
"[",
"description",
"]",
"Y_train",
"(",
"numpy",
".",
"ndarray",
")",
":",
"[",
"description",
"]",
"X_val",
"(",
"numpy",
".",
"ndarray",
"optional",
")",
":",
"["... | def get_augmented(
X_train,
Y_train,
X_val=None,
Y_val=None,
batch_size=32,
seed=0,
data_gen_args=dict(
rotation_range=10.0,
# width_shift_range=0.02,
height_shift_range=0.02,
shear_range=5,
# zoom_range=0.3,
horizontal_flip=True,
verti... | [
"def",
"get_augmented",
"(",
"X_train",
",",
"Y_train",
",",
"X_val",
"=",
"None",
",",
"Y_val",
"=",
"None",
",",
"batch_size",
"=",
"32",
",",
"seed",
"=",
"0",
",",
"data_gen_args",
"=",
"dict",
"(",
"rotation_range",
"=",
"10.0",
",",
"# width_shift_... | https://github.com/karolzak/keras-unet/blob/9b7aff5247fff75dc4e2a11ba9c45929b9166d1f/keras_unet/utils.py#L17-L82 | ||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/physics/quantum/cartesian.py | python | PxKet.momentum | (self) | return self.label[0] | The momentum of the state. | The momentum of the state. | [
"The",
"momentum",
"of",
"the",
"state",
"."
] | def momentum(self):
"""The momentum of the state."""
return self.label[0] | [
"def",
"momentum",
"(",
"self",
")",
":",
"return",
"self",
".",
"label",
"[",
"0",
"]"
] | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/sympy/physics/quantum/cartesian.py#L272-L274 | |
Pyomo/pyomo | dbd4faee151084f343b893cc2b0c04cf2b76fd92 | pyomo/contrib/pyros/util.py | python | add_decision_rule_variables | (model_data, config) | return | Function to add decision rule (DR) variables to the working model. DR variables become first-stage design
variables which do not get copied at each iteration. Currently support static_approx (no DR), affine DR,
and quadratic DR.
:param model_data: the data container for the working model
:param config: ... | Function to add decision rule (DR) variables to the working model. DR variables become first-stage design
variables which do not get copied at each iteration. Currently support static_approx (no DR), affine DR,
and quadratic DR.
:param model_data: the data container for the working model
:param config: ... | [
"Function",
"to",
"add",
"decision",
"rule",
"(",
"DR",
")",
"variables",
"to",
"the",
"working",
"model",
".",
"DR",
"variables",
"become",
"first",
"-",
"stage",
"design",
"variables",
"which",
"do",
"not",
"get",
"copied",
"at",
"each",
"iteration",
"."... | def add_decision_rule_variables(model_data, config):
'''
Function to add decision rule (DR) variables to the working model. DR variables become first-stage design
variables which do not get copied at each iteration. Currently support static_approx (no DR), affine DR,
and quadratic DR.
:param model_d... | [
"def",
"add_decision_rule_variables",
"(",
"model_data",
",",
"config",
")",
":",
"second_stage_variables",
"=",
"model_data",
".",
"working_model",
".",
"util",
".",
"second_stage_variables",
"first_stage_variables",
"=",
"model_data",
".",
"working_model",
".",
"util"... | https://github.com/Pyomo/pyomo/blob/dbd4faee151084f343b893cc2b0c04cf2b76fd92/pyomo/contrib/pyros/util.py#L694-L747 | |
zestedesavoir/zds-site | 2ba922223c859984a413cc6c108a8aa4023b113e | zds/tutorialv2/publish_container.py | python | write_chapter_file | (base_dir, container, part_path, parsed, path_to_title_dict, image_callback=None) | Takes a chapter (i.e a set of extract gathers in one html text) and write in into the right file.
:param image_callback: a callback taking html code and transforming img tags
:type image_callback: callable
:param base_dir: the directory into wich we will write the file
:param container: the container t... | Takes a chapter (i.e a set of extract gathers in one html text) and write in into the right file. | [
"Takes",
"a",
"chapter",
"(",
"i",
".",
"e",
"a",
"set",
"of",
"extract",
"gathers",
"in",
"one",
"html",
"text",
")",
"and",
"write",
"in",
"into",
"the",
"right",
"file",
"."
] | def write_chapter_file(base_dir, container, part_path, parsed, path_to_title_dict, image_callback=None):
"""
Takes a chapter (i.e a set of extract gathers in one html text) and write in into the right file.
:param image_callback: a callback taking html code and transforming img tags
:type image_callbac... | [
"def",
"write_chapter_file",
"(",
"base_dir",
",",
"container",
",",
"part_path",
",",
"parsed",
",",
"path_to_title_dict",
",",
"image_callback",
"=",
"None",
")",
":",
"full_path",
"=",
"Path",
"(",
"base_dir",
",",
"part_path",
")",
"if",
"image_callback",
... | https://github.com/zestedesavoir/zds-site/blob/2ba922223c859984a413cc6c108a8aa4023b113e/zds/tutorialv2/publish_container.py#L244-L279 | ||
yuanli2333/Teacher-free-Knowledge-Distillation | ca9f966ea13c06ba0d427d104002d7dd9442779b | model/shufflenetv2.py | python | shufflenetv2 | (**kwargs) | return ShuffleNetV2(**kwargs) | [] | def shufflenetv2(**kwargs):
return ShuffleNetV2(**kwargs) | [
"def",
"shufflenetv2",
"(",
"*",
"*",
"kwargs",
")",
":",
"return",
"ShuffleNetV2",
"(",
"*",
"*",
"kwargs",
")"
] | https://github.com/yuanli2333/Teacher-free-Knowledge-Distillation/blob/ca9f966ea13c06ba0d427d104002d7dd9442779b/model/shufflenetv2.py#L152-L153 | |||
AppScale/gts | 46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9 | AppServer/lib/django-1.2/django/db/models/fields/__init__.py | python | Field.has_default | (self) | return self.default is not NOT_PROVIDED | Returns a boolean of whether this field has a default value. | Returns a boolean of whether this field has a default value. | [
"Returns",
"a",
"boolean",
"of",
"whether",
"this",
"field",
"has",
"a",
"default",
"value",
"."
] | def has_default(self):
"Returns a boolean of whether this field has a default value."
return self.default is not NOT_PROVIDED | [
"def",
"has_default",
"(",
"self",
")",
":",
"return",
"self",
".",
"default",
"is",
"not",
"NOT_PROVIDED"
] | https://github.com/AppScale/gts/blob/46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9/AppServer/lib/django-1.2/django/db/models/fields/__init__.py#L342-L344 | |
containernet/containernet | 7b2ae38d691b2ed8da2b2700b85ed03562271d01 | mininet/cli.py | python | CLI.do_gterm | ( self, line ) | Spawn gnome-terminal(s) for the given node(s).
Usage: gterm node1 node2 ... | Spawn gnome-terminal(s) for the given node(s).
Usage: gterm node1 node2 ... | [
"Spawn",
"gnome",
"-",
"terminal",
"(",
"s",
")",
"for",
"the",
"given",
"node",
"(",
"s",
")",
".",
"Usage",
":",
"gterm",
"node1",
"node2",
"..."
] | def do_gterm( self, line ):
"""Spawn gnome-terminal(s) for the given node(s).
Usage: gterm node1 node2 ..."""
self.do_xterm( line, term='gterm' ) | [
"def",
"do_gterm",
"(",
"self",
",",
"line",
")",
":",
"self",
".",
"do_xterm",
"(",
"line",
",",
"term",
"=",
"'gterm'",
")"
] | https://github.com/containernet/containernet/blob/7b2ae38d691b2ed8da2b2700b85ed03562271d01/mininet/cli.py#L318-L321 | ||
aio-libs/aiohttp-session | 09a93b936d94e514bd16791c37d9301715710c61 | aiohttp_session/memcached_storage.py | python | MemcachedStorage.load_session | (self, request: web.Request) | [] | async def load_session(self, request: web.Request) -> Session:
cookie = self.load_cookie(request)
if cookie is None:
return Session(None, data=None, new=True, max_age=self.max_age)
else:
key = str(cookie)
stored_key = (self.cookie_name + "_" + key).encode("utf... | [
"async",
"def",
"load_session",
"(",
"self",
",",
"request",
":",
"web",
".",
"Request",
")",
"->",
"Session",
":",
"cookie",
"=",
"self",
".",
"load_cookie",
"(",
"request",
")",
"if",
"cookie",
"is",
"None",
":",
"return",
"Session",
"(",
"None",
","... | https://github.com/aio-libs/aiohttp-session/blob/09a93b936d94e514bd16791c37d9301715710c61/aiohttp_session/memcached_storage.py#L44-L59 | ||||
tensorflow/models | 6b8bb0cbeb3e10415c7a87448f08adc3c484c1d3 | research/lstm_object_detection/trainer.py | python | train | (create_tensor_dict_fn,
create_model_fn,
train_config,
master,
task,
num_clones,
worker_replicas,
clone_on_cpu,
ps_tasks,
worker_job_name,
is_chief,
train_dir,
graph_hook_fn=None) | Training function for detection models.
Args:
create_tensor_dict_fn: a function to create a tensor input dictionary.
create_model_fn: a function that creates a DetectionModel and generates
losses.
train_config: a train_pb2.TrainConfig protobuf.
master: BNS name of the TensorFlow ... | Training function for detection models. | [
"Training",
"function",
"for",
"detection",
"models",
"."
] | def train(create_tensor_dict_fn,
create_model_fn,
train_config,
master,
task,
num_clones,
worker_replicas,
clone_on_cpu,
ps_tasks,
worker_job_name,
is_chief,
train_dir,
graph_hook_fn=None):
"""Train... | [
"def",
"train",
"(",
"create_tensor_dict_fn",
",",
"create_model_fn",
",",
"train_config",
",",
"master",
",",
"task",
",",
"num_clones",
",",
"worker_replicas",
",",
"clone_on_cpu",
",",
"ps_tasks",
",",
"worker_job_name",
",",
"is_chief",
",",
"train_dir",
",",
... | https://github.com/tensorflow/models/blob/6b8bb0cbeb3e10415c7a87448f08adc3c484c1d3/research/lstm_object_detection/trainer.py#L234-L414 | ||
OCA/l10n-spain | 99050907670a70307fcd8cdfb6f3400d9e120df4 | l10n_es_aeat_mod347/models/mod347.py | python | L10nEsAeatMod347Report.calculate | (self) | return True | [] | def calculate(self):
for report in self:
# Delete previous partner records
report.partner_record_ids.unlink()
with self.env.norecompute():
self._create_partner_records("A", KEY_TAX_MAPPING["A"])
self._create_partner_records("B", KEY_TAX_MAPPING... | [
"def",
"calculate",
"(",
"self",
")",
":",
"for",
"report",
"in",
"self",
":",
"# Delete previous partner records",
"report",
".",
"partner_record_ids",
".",
"unlink",
"(",
")",
"with",
"self",
".",
"env",
".",
"norecompute",
"(",
")",
":",
"self",
".",
"_... | https://github.com/OCA/l10n-spain/blob/99050907670a70307fcd8cdfb6f3400d9e120df4/l10n_es_aeat_mod347/models/mod347.py#L312-L322 | |||
moabitcoin/ig65m-pytorch | fc749e2ee354c3e4ddbb144cf511bb868b008f61 | ig65m/models.py | python | r2plus1d_34_32_kinetics | (num_classes, pretrained=False, progress=False) | return r2plus1d_34(num_classes=num_classes, arch="r2plus1d_34_32_kinetics",
pretrained=pretrained, progress=progress) | R(2+1)D 34-layer IG65M-Kinetics model for clips of length 32 frames.
Args:
num_classes: Number of classes in last classification layer
pretrained: If True, loads IG65M weights fine-tuned on Kinetics videos
progress: If True, displays a progress bar of the download to stderr | R(2+1)D 34-layer IG65M-Kinetics model for clips of length 32 frames. | [
"R",
"(",
"2",
"+",
"1",
")",
"D",
"34",
"-",
"layer",
"IG65M",
"-",
"Kinetics",
"model",
"for",
"clips",
"of",
"length",
"32",
"frames",
"."
] | def r2plus1d_34_32_kinetics(num_classes, pretrained=False, progress=False):
"""R(2+1)D 34-layer IG65M-Kinetics model for clips of length 32 frames.
Args:
num_classes: Number of classes in last classification layer
pretrained: If True, loads IG65M weights fine-tuned on Kinetics videos
progress... | [
"def",
"r2plus1d_34_32_kinetics",
"(",
"num_classes",
",",
"pretrained",
"=",
"False",
",",
"progress",
"=",
"False",
")",
":",
"assert",
"not",
"pretrained",
"or",
"num_classes",
"==",
"400",
",",
"\"pretrained on 400 classes\"",
"return",
"r2plus1d_34",
"(",
"nu... | https://github.com/moabitcoin/ig65m-pytorch/blob/fc749e2ee354c3e4ddbb144cf511bb868b008f61/ig65m/models.py#L54-L64 | |
pinterest/mysql_utils | 7ab237699b85de8b503b09f36e0309ac807689fe | zdict_gen/zdict_gen.py | python | parse | () | return parser.parse_args() | Defines a cli and parses command line inputs
Args:
Returns:
object(options): The returned object from an
argparse.ArgumentParser().parse_args() call | Defines a cli and parses command line inputs | [
"Defines",
"a",
"cli",
"and",
"parses",
"command",
"line",
"inputs"
] | def parse():
"""
Defines a cli and parses command line inputs
Args:
Returns:
object(options): The returned object from an
argparse.ArgumentParser().parse_args() call
"""
parser = argparse.ArgumentParser(
description="Generates a *good* p... | [
"def",
"parse",
"(",
")",
":",
"parser",
"=",
"argparse",
".",
"ArgumentParser",
"(",
"description",
"=",
"\"Generates a *good* predefined dictionary \"",
"\"for compressing pin objects with the \"",
"\"DEFLATE algorithm. Takes in a file of \"",
"\"commonly occuring substrings and th... | https://github.com/pinterest/mysql_utils/blob/7ab237699b85de8b503b09f36e0309ac807689fe/zdict_gen/zdict_gen.py#L83-L114 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.