Search is not available for this dataset
id int64 0 10.8M | vector listlengths 1.54k 1.54k | ast_depth int64 3 164 | ast_data stringlengths 297 510k | full_path stringlengths 0 319 | code stringlengths 60 56.5k |
|---|---|---|---|---|---|
16,701 | [
0.04534200206398964,
0.03137527033686638,
0.008529683575034142,
-0.03386932983994484,
-0.024479195475578308,
-0.0018331337487325072,
0.03127550706267357,
0.03501659631729126,
0.024953065440058708,
-0.008934968151152134,
0.029255319386720657,
-0.004517365247011185,
0.024566486477851868,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "vm", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def access_prologue(args, vm, outs, escape = True):
token = None
eof = '\'EOI\'' if escape else 'EOI'
if args.namespaces:
scriptname = '.%s.initscript' % vm['name']
outs += 'cat > %(script)s << %(eof)s\n' % {'script': scriptname, 'eof': eof}
outs += '#!/bin/bash\n'
token = sc... | |
16,702 | [
-0.0030360498931258917,
-0.0058572920970618725,
0.027955258265137672,
-0.022461021319031715,
0.001813763752579689,
0.056297775357961655,
0.021117717027664185,
0.008126388303935528,
0.004607777111232281,
0.09855741262435913,
0.017233025282621384,
-0.022182678803801537,
-0.029480090364813805,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "graph", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "node", "annotation": null, "type_comment": null}}, {"_type": "ar... | def graph_node_depth(graph, node, ub):
frontier = FrontierSet()
marked = set()
frontier.add(node)
marked.add(node)
level = 0
while not frontier.empty():
new_frontier = FrontierSet()
level += 1
if level == ub:
return level # not worth going on
while no... | |
16,703 | [
0.0485590323805809,
0.02144872024655342,
-0.0005671798717230558,
-0.07482010871171951,
0.005966446362435818,
0.0501704104244709,
-0.006456391420215368,
-0.0081712007522583,
0.02027285285294056,
0.04246193543076515,
0.037148747593164444,
-0.06698098033666611,
-0.023321401327848434,
-0.01671... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "iam", "annotation": null, "type_comment": null}}, {"_type": "ar... | def delete_oldest_non_default_version(module, iam, policy):
try:
versions = [v for v in iam.list_policy_versions(PolicyArn=policy['Arn'])['Versions']
if not v['IsDefaultVersion']]
except botocore.exceptions.ClientError as e:
module.fail_json(msg="Couldn't list policy versions... | |
16,704 | [
0.027913173660635948,
0.022326191887259483,
-0.0033913201186805964,
-0.009847871959209442,
0.003483711974695325,
0.020652269944548607,
-0.02110879495739937,
0.032913196831941605,
0.048174139112234116,
0.01992400549352169,
0.02400011196732521,
-0.05721765756607056,
-0.010423962026834488,
-0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "iam", "annotation": null, "type_comment": null}}, {"_type": "ar... | def get_policy_by_name(module, iam, name):
try:
response = list_policies_with_backoff(iam)
except botocore.exceptions.ClientError as e:
module.fail_json(msg="Couldn't list policies: %s" % str(e),
exception=traceback.format_exc(),
**camel_dict_to_... | |
16,705 | [
0.015315143391489983,
0.0018968296935781837,
0.004301642067730427,
-0.007992624305188656,
0.021519018337130547,
0.03452121838927269,
0.02946300618350506,
-0.005252758972346783,
0.04277864098548889,
0.007360347546637058,
-0.0013746611075475812,
-0.04344874620437622,
-0.009846220724284649,
-... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "iam", "annotation": null, "type_comment": null}}, {"_type": "ar... | def set_if_default(module, iam, policy, policy_version, is_default):
if is_default and not policy_version['IsDefaultVersion']:
try:
iam.set_default_policy_version(PolicyArn=policy['Arn'], VersionId=policy_version['VersionId'])
except botocore.exceptions.ClientError as e:
modu... | |
16,706 | [
0.04281337559223175,
0.009946429170668125,
0.00024091635714285076,
-0.057996541261672974,
0.015710199251770973,
0.03651135414838791,
0.02107028104364872,
-0.013759040273725986,
0.02850487269461155,
0.05880391597747803,
0.024557700380682945,
-0.03790183737874031,
-0.0035154514480382204,
-0.... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "iam", "annotation": null, "type_comment": null}}, {"_type": "ar... | def get_or_create_policy_version(module, iam, policy, policy_document):
try:
versions = iam.list_policy_versions(PolicyArn=policy['Arn'])['Versions']
except botocore.exceptions.ClientError as e:
module.fail_json(msg="Couldn't list policy versions: %s" % str(e),
exception... | |
16,707 | [
0.025246478617191315,
0.05295158550143242,
0.04354960843920708,
0.018109625205397606,
-0.02731810137629509,
0.05017424747347832,
-0.01660712994635105,
0.046987134963274,
0.04118203744292259,
0.046258650720119476,
0.029890555888414383,
-0.0688416138291359,
0.000854402082040906,
-0.053907718... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "iam", "annotation": null, "type_comment": null}}, {"_type": "ar... | def detach_all_entities(module, iam, policy, **kwargs):
try:
entities = iam.list_entities_for_policy(PolicyArn=policy['Arn'], **kwargs)
except botocore.exceptions.ClientError as e:
module.fail_json(msg="Couldn't detach list entities for policy %s: %s" % (policy['PolicyName'], str(e)),
... | |
16,708 | [
0.04319005087018013,
0.004295659251511097,
-0.00025972395087592304,
-0.04510442167520523,
0.0021916034165769815,
0.054162658751010895,
0.0027314790058881044,
-0.004715886898338795,
0.03583607077598572,
0.053042054176330566,
0.032217442989349365,
-0.07872262597084045,
-0.005690581165254116,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "iam", "annotation": null, "type_comment": null}}, {"_type": "ar... | def set_if_only(module, iam, policy, policy_version, is_only):
if is_only:
try:
versions = [v for v in iam.list_policy_versions(PolicyArn=policy['Arn'])[
'Versions'] if not v['IsDefaultVersion']]
except botocore.exceptions.ClientError as e:
module.fail_json(ms... | |
16,709 | [
0.04007510468363762,
0.0002443371922709048,
0.02654610201716423,
-0.022816484794020653,
-0.004345126450061798,
0.08058898895978928,
-0.0054847318679094315,
0.014674704521894455,
0.042195867747068405,
0.05572487413883209,
0.04261027276515961,
-0.07166716456413269,
0.021195441484451294,
-0.0... | 16 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def main():
argument_spec = ec2_argument_spec()
argument_spec.update(dict(
policy_name=dict(required=True),
policy_description=dict(default=''),
policy=dict(type='json'),
make_default=dict(type='bool', default=True),
only_version=dict(type='bool', default=False),
... | |
16,710 | [
-0.009122418239712715,
0.03386683389544487,
0.05047814920544624,
-0.03365976735949516,
0.0015702523523941636,
0.004095310345292091,
0.012964647263288498,
-0.033682774752378464,
0.026113353669643402,
0.03669673949480057,
0.022501198574900627,
-0.0346490852534771,
0.015150346793234348,
-0.03... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "port", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}], "kwarg": null... | def Main(port, args):
parser = optparse.OptionParser()
_, args = parser.parse_args(args)
project = web_components_project.WebComponentsProject()
server = tvcm.DevServer(
port=port, project=project)
def IsTestModuleResourcePartOfTelemetry(module_resource):
return module_resource.absolute_path.start... | |
16,711 | [
0.006748152896761894,
0.004749815911054611,
0.017844446003437042,
-0.018386708572506905,
-0.020244458690285683,
0.005643544718623161,
-0.039263807237148285,
0.010433528572320938,
-0.01947123371064663,
0.020224375650286674,
-0.006748152896761894,
-0.0008949838229455054,
0.02620934322476387,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceCreateJobOperator`.""",
DeprecationWarning, stacklevel=2
)
super().__init__... | |
16,712 | [
0.05405525490641594,
0.01847393997013569,
0.046893440186977386,
-0.015690196305513382,
-0.054510779678821564,
0.017132682725787163,
-0.022181382402777672,
0.0012866909382864833,
0.03945324942469597,
0.016057144850492477,
0.0711120143532753,
-0.10608597099781036,
0.020220108330249786,
-0.02... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "apps", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "schema_editor", "annotation": null, "type_comment": null}}], "kwa... | def forward(apps, schema_editor):
Benefit = apps.get_model('sponsorship', 'Benefit')
BenefitLevel = apps.get_model('sponsorship', 'BenefitLevel')
SponsorBenefit = apps.get_model('sponsorship', 'SponsorBenefit')
db_alias = schema_editor.connection.alias
names = [b['name'] for b in OBSOLETE_BENEFITS]... | |
16,713 | [
0.006798910908401012,
0.01170895341783762,
0.008088622242212296,
-0.024006908759474754,
-0.02341790683567524,
0.021021276712417603,
-0.040539585053920746,
0.015293740667402744,
-0.016938883811235428,
0.019701100885868073,
-0.0009736304054968059,
-0.010343077592551708,
0.014440703205764294,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceDeleteJobOperator`.""",
DeprecationWarning, stacklevel=2
)
super().__init__... | |
16,714 | [
0.0012493549147620797,
-0.0005321679636836052,
0.011932769790291786,
-0.017741475254297256,
-0.023092402145266533,
0.0127364257350564,
-0.03566605970263481,
0.009460763074457645,
-0.02115955762565136,
0.02050849422812462,
-0.006953152362257242,
-0.00345368729904294,
0.019481034949421883,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceUpdateJobOperator`.""",
DeprecationWarning, stacklevel=2
)
super().__init__... | |
16,715 | [
0.009407603181898594,
0.0178072489798069,
0.008618545718491077,
-0.019802801311016083,
-0.020932935178279877,
0.017491625621914864,
-0.05876697599887848,
0.01911046728491783,
-0.016005143523216248,
0.009224338456988335,
-0.011433699168264866,
-0.008252015337347984,
0.016992738470435143,
-0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceCancelOperationOperator`.
""",
DeprecationWarning, stacklevel=2
)
... | |
16,716 | [
0.009304862469434738,
0.009528341703116894,
0.017136793583631516,
-0.018792573362588882,
-0.022754250094294548,
0.012210093438625336,
-0.05847029387950897,
0.015734970569610596,
-0.01919889822602272,
0.01052384078502655,
-0.009878798387944698,
-0.006678981706500053,
0.022185394540429115,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceGetOperationOperator`.""",
DeprecationWarning, stacklevel=2
)
super().__ini... | |
16,717 | [
0.005017552524805069,
0.02941981516778469,
0.014802682213485241,
-0.020451616495847702,
-0.025956235826015472,
0.01658601313829422,
-0.05558221787214279,
0.025605754926800728,
-0.025729453191161156,
0.005937566049396992,
-0.011297868564724922,
-0.0000695405833539553,
0.02383273094892502,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceResumeOperationOperator`.
""",
DeprecationWarning, stacklevel=2
)
... | |
16,718 | [
0.011263644322752953,
0.007358366157859564,
0.00586305558681488,
-0.029166260734200478,
-0.027501380071043968,
0.026740876957774162,
-0.048918746411800385,
0.015631388872861862,
-0.00412109587341547,
0.004195604473352432,
0.0048250737600028515,
-0.011736388318240643,
0.030337844043970108,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServicePauseOperationOperator`.
""",
DeprecationWarning, stacklevel=2
)
... | |
16,719 | [
0.0082438625395298,
0.017173834145069122,
0.025185476988554,
-0.02229326218366623,
-0.03588877618312836,
0.01801827736198902,
-0.047964293509721756,
0.008439140394330025,
-0.019221605733036995,
0.012064961716532707,
-0.00640720222145319,
-0.009737469255924225,
0.015537728555500507,
-0.0103... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceGCSToGCSOperator`.
""",
DeprecationWarning, stacklevel=2
)
supe... | |
16,720 | [
-0.0018556753639131784,
0.009550096467137337,
0.01682341657578945,
-0.032616619020700455,
-0.02493121102452278,
0.004908976145088673,
-0.06477993726730347,
0.015298698097467422,
-0.019615299999713898,
0.023303471505641937,
-0.01305282860994339,
-0.0005270195542834699,
0.022520506754517555,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceListOperationsOperator`.
""",
DeprecationWarning, stacklevel=2
)
... | |
16,721 | [
-0.004808180499821901,
-0.04084453359246254,
-0.008979481644928455,
-0.016800999641418457,
0.026212085038423538,
-0.04471844807267189,
-0.009316343814134598,
0.052424170076847076,
-0.039770785719156265,
0.024969905614852905,
0.0028370108921080828,
-0.011569108814001083,
0.018969548866152763,... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "LinkedInOAuth2Provider", "ctx": {"_type": "Load", "_fields"... | class LinkedInOAuth2Adapter(OAuth2Adapter):
provider_id = LinkedInOAuth2Provider.id
access_token_url = "https://www.linkedin.com/oauth/v2/accessToken"
authorize_url = "https://www.linkedin.com/oauth/v2/authorization"
profile_url = "https://api.linkedin.com/v2/me"
email_url = "https://api.linkedin.co... | |
16,722 | [
0.017077909782528877,
0.002714528003707528,
0.03547195717692375,
-0.013607135973870754,
-0.029995135962963104,
0.0014474829658865929,
-0.03173583000898361,
0.010184124112129211,
-0.019805705174803734,
0.029804084450006485,
-0.004147416912019253,
-0.00974364299327135,
0.0036724405363202095,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def __init__(self, *args, **kwargs):
warnings.warn(
""""This class is deprecated.
Please use `airflow.providers.google.cloud.operators.data_transfer
.CloudDataTransferServiceS3ToGCSOperator`.
""",
DeprecationWarning, stacklevel=2
)
supe... | |
16,723 | [
-0.004007212817668915,
-0.017603570595383644,
0.03472064062952995,
-0.0166561771184206,
-0.010389306582510471,
-0.014735788106918335,
0.007003020029515028,
0.011579948477447033,
0.0279096607118845,
-0.013621962629258633,
0.05873831361532211,
-0.025003470480442047,
-0.0033254744485020638,
-... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "application/json"}}, "targets": [{"_type": "Name", "_fields": {"id": "content_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_c... | class ExtendedAvailabilityZoneTestV21(test.TestCase):
content_type = 'application/json'
prefix = 'OS-EXT-AZ:'
base_url = '/v2/fake/servers/'
def setUp(self):
super(ExtendedAvailabilityZoneTestV21, self).setUp()
availability_zones.reset_cache()
fakes.stub_out_nw_api(self.stubs)
... | |
16,724 | [
-0.019632715731859207,
-0.007075391709804535,
0.0014683748595416546,
0.002346680499613285,
0.011475077830255032,
-0.07957503944635391,
0.02477746643126011,
0.043311621993780136,
0.01700051873922348,
0.0017416557529941201,
-0.03648095950484276,
0.0034425233025103807,
0.0307379812002182,
-0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "token", "annotation": null, "type_comment": null}}], "kwarg": nul... | def get_user_info(self, token):
fields = self.get_provider().get_profile_fields()
headers = {}
headers.update(self.get_provider().get_settings().get("HEADERS", {}))
headers["Authorization"] = " ".join(["Bearer", token.token])
info = {}
if app_settings.QUERY_EMAIL:
... | |
16,725 | [
-0.014494918286800385,
-0.005400689784437418,
0.022618165239691734,
0.004648654721677303,
0.011010807007551193,
-0.05569500848650932,
-0.013860289007425308,
0.023176638409495354,
0.03492996096611023,
-0.016144951805472374,
0.04089546948671341,
-0.015916485339403152,
0.008999033831059933,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_show_no_host_az(self):
self.stubs.Set(compute.api.API, 'get', fake_compute_get_az)
self.stubs.Set(availability_zones, 'get_host_availability_zone',
fake_get_no_host_availability_zone)
url = self.base_url + UUID3
res = self._make_request(url)
self... | |
16,726 | [
0.005397412925958633,
-0.025922145694494247,
0.0682033970952034,
-0.025024093687534332,
-0.04172300547361374,
0.002820065012201667,
0.03973272815346718,
0.013373691588640213,
0.00451453123241663,
-0.01763336919248104,
0.055436499416828156,
0.01504843682050705,
-0.034417230635881424,
-0.036... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def setUp(self):
super(ExtendedAvailabilityZoneTestV21, self).setUp()
availability_zones.reset_cache()
fakes.stub_out_nw_api(self.stubs)
self.stubs.Set(compute.api.API, 'get', fake_compute_get)
self.stubs.Set(compute.api.API, 'get_all', fake_compute_get_all)
self.stubs.Se... | |
16,727 | [
-0.00970483385026455,
-0.013327721506357193,
0.03351327404379845,
-0.007302089594304562,
0.020223096013069153,
-0.05851683020591736,
-0.013052406720817089,
0.030960358679294586,
0.03839384764432907,
-0.010449434630572796,
0.036817047744989395,
-0.026980813592672348,
-0.007001746445894241,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_show_empty_host_az(self):
self.stubs.Set(compute.api.API, 'get', fake_compute_get_empty)
self.stubs.Set(availability_zones, 'get_host_availability_zone',
fake_get_no_host_availability_zone)
url = self.base_url + UUID3
res = self._make_request(url)
... | |
16,728 | [
0.005027794744819403,
-0.03409688174724579,
-0.031464844942092896,
-0.0061553847044706345,
0.04589320719242096,
-0.03407295420765877,
-0.02665538899600506,
0.022743219509720802,
0.016498105600476265,
-0.03014882281422615,
0.024741176515817642,
-0.04058127477765083,
-0.005288008134812117,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_no_instance_passthrough_404(self):
def fake_compute_get(*args, **kwargs):
raise exception.InstanceNotFound(instance_id='fake')
self.stubs.Set(compute.api.API, 'get', fake_compute_get)
url = self.base_url + '70f6db34-de8d-4fbd-aafb-4065bdfa6115'
res = self._make_req... | |
16,729 | [
0.014295998960733414,
0.026976915076375008,
0.06687448918819427,
-0.029248123988509178,
-0.015191864222288132,
0.016163436695933342,
0.019191715866327286,
0.0014494729693979025,
0.007949231192469597,
0.0580420084297657,
-0.0020929821766912937,
-0.03285682201385498,
-0.012106805108487606,
0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "settings", "annotation": null, "type_comment": null}}, {"_type": "... | def from_settings(cls, settings, crawler=None):
mwlist = cls._get_mwlist_from_settings(settings)
middlewares = []
for clspath in mwlist:
try:
mwcls = load_object(clspath)
if crawler and hasattr(mwcls, 'from_crawler'):
mw = mwcls.fro... | |
16,730 | [
0.033721912652254105,
0.017438074573874474,
0.06803225725889206,
-0.020685790106654167,
-0.003406139323487878,
0.015265388414263725,
0.03084762766957283,
-0.019644711166620255,
0.0221002995967865,
-0.006331345532089472,
0.023695865646004677,
-0.03329189866781235,
0.010874750092625618,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "application/xml"}}, "targets": [{"_type": "Name", "_fields": {"id": "content_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_co... | class ExtendedAvailabilityZoneXmlTestV2(ExtendedAvailabilityZoneTestV2):
content_type = 'application/xml'
prefix = '{%s}' % extended_availability_zone.\
Extended_availability_zone.namespace
def _get_server(self, body):
return etree.XML(body)
def _get_servers(self, body)... | |
16,731 | [
0.03111512027680874,
-0.0046172477304935455,
0.044376883655786514,
-0.01660926640033722,
0.03080730326473713,
0.03555280715227127,
-0.00856114737689495,
0.05951119586825371,
-0.03996484726667404,
-0.01930266059935093,
0.0651031956076622,
-0.030909908935427666,
0.028139561414718628,
-0.0124... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def upgrade():
patreon_users = alembic.op.create_table("patreon_users",
sqlalchemy.Column("id", sqlalchemy.Integer, primary_key=True),
sqlalchemy.Column("patreon_id", sqlalchemy.Text, unique=True),
sqlalchemy.Column("full_name", sqlalchemy.Text, nullable=False),
sqlalchemy.Column("access_token", sqlalchemy.... | |
16,732 | [
0.01939450390636921,
0.008017987944185734,
0.009624240919947624,
-0.01724398508667946,
-0.047284889966249466,
0.04648840054869652,
-0.014296975918114185,
-0.03061172366142273,
0.025899164378643036,
0.004755702335387468,
-0.013752708211541176,
-0.024996476247906685,
0.009849912486970425,
-0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "system", "annotation":... | class LangevinThermostatOnRadiusLocal(ExtensionLocal, integrator_LangevinThermostatOnRadius):
def __init__(self, system, dampingmass):
if not (pmi._PMIComm and pmi._PMIComm.isActive()) or pmi._MPIcomm.rank in pmi._PMIComm.getMPIcpugroup():
cxxinit(self, integrator_LangevinThermostatOnRadius, sy... | |
16,733 | [
0.029077522456645966,
0.022716009989380836,
0.033842217177152634,
-0.011010310612618923,
0.028150338679552078,
0.04015222191810608,
-0.00032636558171361685,
0.03479515761137009,
-0.014873577281832695,
-0.029515359550714493,
0.03219389170408249,
-0.047724224627017975,
0.03497544303536415,
0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"arg... | def downgrade():
alembic.op.add_column("users", sqlalchemy.Column("patreon_access_token", sqlalchemy.Text))
alembic.op.add_column("users", sqlalchemy.Column("patreon_refresh_token", sqlalchemy.Text))
alembic.op.add_column("users", sqlalchemy.Column("patreon_token_expires", sqlalchemy.DateTime(timezone=True)))
conn... | |
16,734 | [
-0.016350209712982178,
-0.010735406540334225,
0.041774604469537735,
-0.03660636767745018,
0.007133121136575937,
0.024043023586273193,
-0.014980745501816273,
0.01454013492912054,
0.005007474683225155,
-0.006174496375024319,
0.0023831650614738464,
0.03722560405731201,
0.03434377536177635,
-0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class HiddenFileTest(unittest.TestCase):
def setUp(self):
pass
def test_osx_hidden(self):
if not sys.platform == 'darwin':
self.skipTest('sys.platform is not darwin')
return
with tempfile.NamedTemporaryFile(delete=False) as f:
try:
co... | |
16,735 | [
-0.008098836988210678,
0.013606046326458454,
0.012224660255014896,
-0.022578947246074677,
0.010195366106927395,
0.031099535524845123,
0.004391708876937628,
0.0053971875458955765,
-0.00929685402661562,
0.0047676172107458115,
0.02116088569164276,
0.05227264389395714,
0.030537201091647148,
0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_windows_hidden(self):
if not sys.platform == 'win32':
self.skipTest('sys.platform is not windows')
return
# FILE_ATTRIBUTE_HIDDEN = 2 (0x2) from GetFileAttributes documentation.
hidden_mask = 2
with tempfile.NamedTemporaryFile() as f:
# Hide... | |
16,736 | [
0.01715284399688244,
0.016095394268631935,
0.015087125822901726,
-0.02818230912089348,
0.005837500561028719,
0.047044288367033005,
-0.023706583306193352,
0.011970103718340397,
-0.004300507251173258,
-0.011232347227633,
0.007660374511033297,
0.036469776183366776,
0.019464483484625816,
-0.00... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_osx_hidden(self):
if not sys.platform == 'darwin':
self.skipTest('sys.platform is not darwin')
return
with tempfile.NamedTemporaryFile(delete=False) as f:
try:
command = ["chflags", "hidden", f.name]
subprocess.Popen(command).... | |
16,737 | [
-0.004049421288073063,
0.009638994000852108,
0.02704400010406971,
-0.03534515202045441,
0.0031814551912248135,
0.055602047592401505,
-0.016236841678619385,
0.016745874658226967,
-0.006747948005795479,
-0.010206760838627815,
-0.0070677250623703,
0.03116847202181816,
0.02981105074286461,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_other_hidden(self):
if sys.platform == 'darwin' or sys.platform == 'win32':
self.skipTest('sys.platform is known')
return
with tempfile.NamedTemporaryFile(prefix='.tmp') as f:
fn = util.bytestring_path(f.name)
self.assertTrue(hidden.is_hidden(fn)... | |
16,738 | [
0.006490142550319433,
0.023458875715732574,
-0.05806565657258034,
-0.030130062252283096,
-0.024446386843919754,
0.041256021708250046,
-0.015690455213189125,
-0.03131507709622383,
-0.02068287320435047,
-0.0056233275681734085,
0.01088456716388464,
-0.022427475079894066,
0.026882247999310493,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "arrow_type", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyarg... | def get_logical_type(arrow_type):
logical_type_map = get_logical_type_map()
try:
return logical_type_map[arrow_type.id]
except KeyError:
if isinstance(arrow_type, pa.lib.DictionaryType):
return 'categorical'
elif isinstance(arrow_type, pa.lib.ListType):
retur... | |
16,739 | [
-0.0034308619797229767,
0.0035441936925053596,
0.010581066831946373,
-0.01934882439672947,
-0.019441550597548485,
-0.01265194732695818,
-0.009004725143313408,
-0.01681431382894516,
-0.024500269442796707,
0.011868927627801895,
0.012404678389430046,
0.0206160806119442,
0.026251761242747307,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "column", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": ... | def get_extension_dtype_info(column):
dtype = column.dtype
if str(dtype) == 'category':
cats = getattr(column, 'cat', column)
assert cats is not None
metadata = {
'num_categories': len(cats.categories),
'ordered': cats.ordered,
}
physical_dtype = s... | |
16,740 | [
-0.007413202431052923,
-0.003127015195786953,
-0.0012737145880237222,
-0.021992195397615433,
0.0004444256192073226,
0.013598507270216942,
0.014606483280658722,
-0.0037409639917314053,
-0.02902969717979431,
-0.01586187072098255,
0.011170202866196632,
0.006675547454506159,
0.03231019899249077,... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "pandas_collection", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "pos... | def get_logical_type_from_numpy(pandas_collection):
try:
return _numpy_logical_type_map[pandas_collection.dtype.type]
except KeyError:
if hasattr(pandas_collection.dtype, 'tz'):
return 'datetimetz'
# See https://github.com/pandas-dev/pandas/issues/24739
if str(pandas_... | |
16,741 | [
0.04337962716817856,
0.015778277069330215,
0.04622907191514969,
-0.02689962089061737,
0.013545501045882702,
-0.014098378829658031,
-0.03478876128792763,
-0.03098241053521633,
0.006852492690086365,
0.022115103900432587,
0.039743393659591675,
-0.009143744595348835,
0.02855825424194336,
-0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "df", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "schema", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _get_columns_to_convert(df, schema, preserve_index, columns):
columns = _resolve_columns_of_interest(df, schema, columns)
column_names = []
type = None
index_levels = _get_index_level_values(df.index) if preserve_index else []
columns_to_convert = []
convert_types = []
if not df.colu... | |
16,742 | [
-0.000265249254880473,
0.011198190972208977,
0.026079636067152023,
-0.05193937569856644,
0.004576580598950386,
-0.0007792555843479931,
0.01300683431327343,
0.0214508306235075,
-0.03406185284256935,
-0.012567042373120785,
0.033072322607040405,
0.009191642515361309,
0.029334094375371933,
-0.... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "level", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def _get_simple_index_descriptor(level):
string_dtype, extra_metadata = get_extension_dtype_info(level)
pandas_type = get_logical_type_from_numpy(level)
if pandas_type == 'unicode':
assert not extra_metadata
extra_metadata = {'encoding': 'UTF-8'}
return {
'name': level.name,
... | |
16,743 | [
0.020456822589039803,
-0.0029662896413356066,
-0.0025155546609312296,
-0.03750921040773392,
-0.002581024542450905,
-0.007136217784136534,
-0.02195759303867817,
0.006048410665243864,
0.023005111142992973,
0.030680198222398758,
0.04427779093384743,
0.017697013914585114,
0.0596279613673687,
0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "df", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "preserve_index", "annotation": null, "type_comment": null}}, {"_typ... | def dataframe_to_types(df, preserve_index, columns=None):
(all_names,
column_names,
index_descriptors,
index_columns,
columns_to_convert,
_) = _get_columns_to_convert(df, None, preserve_index, columns)
types = []
# If pandas knows type, skip conversion
for c in columns_to_conve... | |
16,744 | [
0.041663721203804016,
0.013797333464026451,
0.0583694651722908,
-0.025239761918783188,
0.04440104961395264,
0.006868476048111916,
-0.035887155681848526,
-0.010486376471817493,
-0.0335523784160614,
0.05253252014517784,
0.009485037997364998,
-0.05446474999189377,
0.030372248962521553,
0.0431... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "df", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "schema", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _resolve_columns_of_interest(df, schema, columns):
if schema is not None and columns is not None:
raise ValueError('Schema and columns arguments are mutually '
'exclusive, pass only one of them')
elif schema is not None:
columns = schema.names
elif columns is not... | |
16,745 | [
0.03320573642849922,
-0.010590306483209133,
0.006607960909605026,
-0.03125360608100891,
0.004748556762933731,
0.0007601107354275882,
-0.010678152553737164,
-0.00989730004221201,
0.008784586563706398,
-0.005739262793213129,
0.053917836397886276,
0.018623322248458862,
0.04689016938209534,
-0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "block_table", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "all_columns", "annotation": null, "type_comment": null}}, ... | def _deserialize_column_index(block_table, all_columns, column_indexes):
column_strings = [x.name for x in block_table.itercolumns()]
if all_columns:
columns_name_dict = {
c.get('field_name', _column_name_to_strings(c['name'])): c['name']
for c in all_columns
}
co... | |
16,746 | [
-0.005358648486435413,
-0.0017968891188502312,
0.03467240184545517,
-0.04409870505332947,
0.007090219762176275,
-0.0032838373444974422,
0.010891478508710861,
-0.002010773867368698,
0.015225529670715332,
-0.016147667542099953,
0.005983653478324413,
0.0161988977342844,
0.022069845348596573,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "values", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "dtype", "annotation": null, "type_comment": null}}, {"_type": "... | def get_datetimetz_type(values, dtype, type_):
if values.dtype.type != np.datetime64:
return values, type_
if _pandas_api.is_datetimetz(dtype) and type_ is None:
# If no user type passed, construct a tz-aware timestamp type
tz = dtype.tz
unit = dtype.unit
type_ = pa.time... | |
16,747 | [
0.047990597784519196,
0.027614125981926918,
0.0306777935475111,
-0.0379360131919384,
0.010661150328814983,
0.008306855335831642,
-0.016109954565763474,
-0.007803098298609257,
-0.02897118777036667,
0.00028513051802292466,
0.038696788251399994,
-0.012521968223154545,
0.05901157483458519,
-0.... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "table", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "index_descriptors", "annotation": null, "type_comment": null}}, ... | def _reconstruct_index(table, index_descriptors, all_columns):
# 0. 'field_name' is the name of the column in the arrow Table
# 1. 'name' is the user-facing name of the column, that is, it came from
# pandas
# 2. 'field_name' and 'name' differ for index columns
# 3. We fall back on c['name'] for ... | |
16,748 | [
0.058342598378658295,
0.05164754390716553,
-0.0026509910821914673,
-0.037238627672195435,
0.026509910821914673,
0.026364367455244064,
-0.006003715097904205,
-0.009923024103045464,
-0.050566356629133224,
-0.008228468708693981,
0.04220793768763542,
0.005338368471711874,
0.02015792950987816,
... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "table", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "result_table", "annotation": null, "type_comment": null}}, {"_ty... | def _extract_index_level(table, result_table, descr,
field_name_to_metadata):
field_name = descr['field_name']
logical_name = field_name_to_metadata[field_name]['name']
index_name = _backwards_compatible_index_name(field_name, logical_name)
i = table.schema.get_field_index(field... | |
16,749 | [
0.07912606745958328,
0.008138869889080524,
0.003586155129596591,
-0.05478634312748909,
-0.02873317524790764,
0.026514481753110886,
-0.016607247292995453,
-0.041913531720638275,
-0.005887225270271301,
-0.026316776871681213,
0.027151532471179962,
-0.01294969953596592,
0.04224303737282753,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "index_descriptors", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "all_columns", "annotation": null, "type_comment": nu... | def _get_serialized_index_names(index_descriptors, all_columns):
serialized_index_names = []
for descr in index_descriptors:
if not isinstance(descr, dict):
# version < 0.13.0
serialized_index_names.append(descr)
elif descr['kind'] != 'serialized':
continue
... | |
16,750 | [
-0.011156666092574596,
0.005648097023367882,
0.043153248727321625,
-0.04547499492764473,
-0.008226576261222363,
0.0130263427272439,
0.0046546570956707,
0.016028987243771553,
-0.026387551799416542,
0.027369830757379532,
0.047640472650527954,
-0.011709197424352169,
0.046345651149749756,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "index", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def _flatten_single_level_multiindex(index):
pd = _pandas_api.pd
if isinstance(index, pd.MultiIndex) and index.nlevels == 1:
levels, = index.levels
labels, = _get_multiindex_codes(index)
# Cheaply check that we do not somehow have duplicate column names
if not index.is_unique:
... | |
16,751 | [
0.0041726380586624146,
-0.03279108926653862,
-0.010478398762643337,
0.020525634288787842,
0.013558945618569851,
0.05986359715461731,
0.0220120120793581,
-0.013139128684997559,
0.009871366433799267,
0.00710284523665905,
0.029954491183161736,
-0.05645967647433281,
0.02332819439470768,
0.0205... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "publisher"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}},... | class FacebookSubscriberEventProcessor:
logger = logging.getLogger("publisher")
subscriber_event_outcome_messages = {
SubscriberEventOutcome.subscription_created: "You are now subscribed!",
SubscriberEventOutcome.resubscribed: "Thanks for resubscribing!",
SubscriberEventOutcome.already_s... | |
16,752 | [
0.02296062745153904,
0.010368319228291512,
0.03459538519382477,
-0.0466625839471817,
0.0011615451658144593,
0.03865210711956024,
0.0031815399415791035,
-0.02924133650958538,
-0.0181110966950655,
-0.0065020788460969925,
0.03418353572487831,
-0.03286561742424965,
0.019315756857395172,
0.0095... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "table", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "pandas_metadata", "annotation": null, "type_comment": null}}], "... | def _add_any_metadata(table, pandas_metadata):
modified_columns = {}
schema = table.schema
index_columns = pandas_metadata['index_columns']
n_index_levels = len(index_columns)
n_columns = len(pandas_metadata['columns']) - n_index_levels
# Add time zones
for i, col_meta in enumerate(pandas... | |
16,753 | [
0.010723022744059563,
-0.009685310535132885,
-0.019500335678458214,
0.02948831208050251,
-0.010895974934101105,
0.056901201605796814,
0.023391755297780037,
-0.018419386819005013,
0.047864459455013275,
-0.006718103773891926,
0.022851280868053436,
-0.046783510595560074,
0.02518613263964653,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "subscriber_id", "annotation": null, "type_comment": null}}, {"_ty... | def subscription_message(self, subscriber_id, subscriber_event_message_text):
if self.is_subscriber(subscriber_event_message_text):
outcome = self.subscriber.process(user_id=subscriber_id)
return SubscriptionMessage(platform=self.platform, platform_identifier=subscriber_id,
... | |
16,754 | [
0.03790844976902008,
-0.020919600501656532,
-0.012291931547224522,
0.03177914023399353,
0.0367758609354496,
0.06133751571178436,
0.045747749507427216,
-0.004666381515562534,
0.01033765822649002,
-0.002143037738278508,
0.034599509090185165,
-0.010171101428568363,
-0.00006336985825328156,
0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "subscriber_event_message", "annotation": null, "type_comment": nu... | def process(self, subscriber_event_message):
FacebookSubscriberEventProcessor.logger.info("Processing message: {}".format(subscriber_event_message))
subscriber_id = self.subscriber_id(subscriber_event_message)
subscriber_event_message_text = self.subscriber_event_message_text(subscriber_event_m... | |
16,755 | [
0.03328923508524895,
-0.009497016668319702,
-0.030203435570001602,
0.013956231996417046,
-0.00006259812653297558,
0.026883862912654877,
0.023926638066768646,
-0.003112099366262555,
0.01880701631307602,
0.0004273657687008381,
0.026322808116674423,
-0.022757774218916893,
0.017930367961525917,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "user_id", "annotation": null, "type_comment": null}}], "kwarg": n... | def process(self, user_id):
subscription, created = self.subscriptions.get_or_create(platform=self.platform_name,
platform_identifier=user_id)
if created:
return SubscriberEventOutcome.subscription_created
if subscrip... | |
16,756 | [
0.006518203765153885,
-0.0007213220233097672,
-0.010721531696617603,
0.007764249574393034,
-0.006390830036252737,
0.03218674659729004,
0.017433565109968185,
-0.022816482931375504,
0.016049068421125412,
0.010372638702392578,
0.03309497609734535,
-0.042841821908950806,
0.008666940033435822,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "subscriptions", "annot... | class Subscriber:
def __init__(self, subscriptions, platform_name):
self.subscriptions = subscriptions
self.platform_name = platform_name
def process(self, user_id):
subscription, created = self.subscriptions.get_or_create(platform=self.platform_name,
... | |
16,757 | [
0.0012154346331954002,
-0.0011850488372147083,
-0.023111045360565186,
0.022541867569088936,
-0.0031482724007219076,
0.03284638002514839,
0.018711764365434647,
-0.002693225396797061,
0.04055401682853699,
-0.011472517624497414,
0.027083441615104675,
-0.058293431997299194,
0.008851922117173672,... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "user_id", "annotation": null, "type_comment": null}}], "kwarg": n... | def process(self, user_id):
if not self.subscription_exists(user_id=user_id):
return SubscriberEventOutcome.subscription_does_not_exist
if self.unsubscribed(user_id=user_id):
return SubscriberEventOutcome.already_unsubscribed
self.unsubscribe(user_id=user_id)
r... | |
16,758 | [
-0.011285162530839443,
0.006694687530398369,
-0.012008117511868477,
0.001705999136902392,
-0.014447358436882496,
0.03590092062950134,
-0.007223679218441248,
0.0006197288166731596,
0.048338111490011215,
-0.0008596119587309659,
0.040626585483551025,
-0.06644139438867569,
0.003082847688347101,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "subscriptions", "annot... | class Unsubscriber:
def __init__(self, subscriptions, platform_name):
self.subscriptions = subscriptions
self.platform_name = platform_name
def process(self, user_id):
if not self.subscription_exists(user_id=user_id):
return SubscriberEventOutcome.subscription_does_not_exist... | |
16,759 | [
0.0012746636057272553,
-0.0424601212143898,
0.00624124426394701,
-0.06850625574588776,
-0.040150366723537445,
-0.010559743270277977,
-0.01942403055727482,
-0.025702131912112236,
-0.02233579196035862,
0.015701398253440857,
0.0338599793612957,
-0.00884585827589035,
0.010608887299895287,
0.01... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_toposorted_single_before_after():
a = Info(1, None, None)
b = Info(2, 1, None)
c = Info(3, None, 1)
infos = [a, b, c]
assert toposorted(infos) == [b, a, c]
a = Info(1, None, None)
b = Info(2, None, 1)
c = Info(3, 1, None)
infos = [a, b, c]
assert toposorted(infos) ==... | |
16,760 | [
-0.005697556771337986,
-0.03152449429035187,
0.017599783837795258,
-0.07039913535118103,
-0.049828268587589264,
-0.008734265342354774,
-0.013256514444947243,
-0.017110569402575493,
-0.017766831442713737,
0.01400823425501585,
0.026584621518850327,
-0.0021611936390399933,
0.01665715128183365,
... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_toposorted_multi_before_after():
a = Info(1, None, None)
b = Info(2, [1], None)
c = Info(3, None, [1, 2])
infos = [a, b, c]
assert toposorted(infos) == [b, a, c] | |
16,761 | [
0.007144181989133358,
0.009858241304755211,
0.03553834930062294,
-0.007308486383408308,
0.020580599084496498,
0.006006224546581507,
0.017878711223602295,
0.029672088101506233,
0.011805548332631588,
0.06357956677675247,
0.00205988553352654,
-0.0471491701900959,
-0.01324168685823679,
-0.0029... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "r", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def __init__(self, r, r_min, r_max, c, r_0=0.0, s=1.0, reduced=False):
n = r.shape[0]
# trim negative r limits
if r_max <= 0:
# both func and abel must be zero everywhere
self.func = np.zeros(n)
self.abel = np.zeros(n)
return
if r_min < 0:... | |
16,762 | [
0.012223669327795506,
0.02094070054590702,
0.011325325816869736,
-0.0169136431068182,
0.014472627080976963,
-0.0023465356789529324,
0.01862359419465065,
-0.005513971671462059,
0.02248957008123398,
0.03856062889099121,
0.0034106082748621702,
-0.09887976199388504,
-0.025822734460234642,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "k", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}},... | def a(k):
odd_k = k % 2
# max. x power
K = k - odd_k # (k - 1 for odd k)
# generate coefficients for all x^m r^{k - m} terms
# (only even indices are actually used;
# for odd k, C[K] is also used for x^{k+1} ln(r + y))
C = [0] * (K + ... | |
16,763 | [
0.005328051745891571,
-0.009004349820315838,
0.03301212564110756,
0.002550754463300109,
0.007272303104400635,
-0.007473037112504244,
0.019270455464720726,
0.0034669614396989346,
0.018203698098659515,
0.06652895361185074,
-0.006664365995675325,
-0.04693732410669327,
0.010839631780982018,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "r", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def __init__(self, r, ranges):
self.p = []
for rng in ranges:
self.p.append(Polynomial(r, *rng))
func = self.p[0].func
for p in self.p[1:]:
func += p.func
self.func = func
abel = self.p[0].abel
for p in self.p[1:]:
abel += p.a... | |
16,764 | [
-0.06820136308670044,
0.007882659323513508,
0.04883084446191788,
-0.018002208322286606,
-0.004244737792760134,
0.012112523429095745,
-0.010143346153199673,
0.010744213126599789,
-0.019430011510849,
0.0772441104054451,
0.004598713479936123,
-0.05444686487317085,
0.01069067046046257,
0.00015... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "term", "annotation": n... | class LookupModule(LookupBase):
def _check_list_of_one_list(self, term):
# make sure term is not a list of one (list of one..) item
# return the final non list item if so
if isinstance(term,list) and len(term) == 1:
term = term[0]
if isinstance(term,list):
... | |
16,765 | [
0.005591098219156265,
0.03164667263627052,
0.018809713423252106,
-0.0034822484012693167,
0.011232340708374977,
-0.022743260487914085,
0.006190044805407524,
0.025072189047932625,
0.025339625775814056,
0.06378364562988281,
0.004928078036755323,
-0.031334664672613144,
0.0017773396102711558,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "term", "annotation": null, "type_comment": null}}], "kwarg": null... | def _check_list_of_one_list(self, term):
# make sure term is not a list of one (list of one..) item
# return the final non list item if so
if isinstance(term,list) and len(term) == 1:
term = term[0]
if isinstance(term,list):
term = self._check_list_of_one... | |
16,766 | [
-0.03591758385300636,
0.020074518397450447,
0.037361256778240204,
0.004492809530347586,
-0.000023055692508933134,
-0.012551241554319859,
0.008711818605661392,
0.012632137164473534,
0.013391309417784214,
0.07780898362398148,
0.027380000799894333,
-0.04089576378464699,
0.03698789328336716,
0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "terms", "annotation": null, "type_comment": null}}, {"_type": "ar... | def _do_flatten(self, terms, variables):
ret = []
for term in terms:
term = self._check_list_of_one_list(term)
if term == 'None' or term == 'null':
# ignore undefined items
break
if isinstance(term, basestring):
# con... | |
16,767 | [
-0.016439808532595634,
0.006783358287066221,
0.08440452814102173,
-0.037052154541015625,
-0.02453453652560711,
-0.03292730078101158,
-0.0033857182133942842,
-0.03998485580086708,
0.04823456332087517,
0.03714752942323685,
0.02155414968729019,
-0.02894550748169422,
0.0008248217636719346,
-0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def FormatJUnitXML(self):
num_errors = len(self._junit_errors)
num_failures = len(self._junit_failures)
testsuite = xml.etree.ElementTree.Element('testsuite')
testsuite.attrib['errors'] = str(num_errors)
testsuite.attrib['failures'] = str(num_failures)
testsuite.attrib['name'] = 'cpplint'
... | |
16,768 | [
-0.007944398559629917,
0.021841593086719513,
0.049999091774225235,
-0.03510059416294098,
-0.02750830352306366,
-0.0116195073351264,
-0.048502642661333084,
-0.03160154074430466,
0.018485579639673233,
0.06241083890199661,
0.01303893607109785,
-0.005743734072893858,
-0.006750537548214197,
0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "val", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}... | def ProcessExtensionsOption(val):
global _valid_extensions
try:
extensions = [ext.strip() for ext in val.split(',')]
_valid_extensions = set(extensions)
except ValueError:
PrintUsage('Extensions should be a comma-separated list of values;'
'for example: extensions=hpp,cpp\n'
... | |
16,769 | [
-0.011174408718943596,
0.024920877069234848,
0.0489339679479599,
-0.016880489885807037,
0.022564956918358803,
-0.031210534274578094,
0.0239698626101017,
0.021181665360927582,
-0.009104873985052109,
0.07288222014904022,
0.022651413455605507,
0.008845506235957146,
0.05053339898586273,
0.0000... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value... | def FixupPathFromRoot():
if _root_debug:
sys.stderr.write("\n_root fixup, _root = '%s', repository name = '%s'\n"
% (_root, fileinfo.RepositoryName()))
# Process the file path with the --root flag if it was set.
if not _root:
if _root_debug:
sys.stderr.write("_root unspecified... | |
16,770 | [
0.025331122800707817,
0.022830044850707054,
0.025528252124786377,
-0.03134356811642647,
0.01077435165643692,
0.04484692960977554,
0.0003603771037887782,
0.00869833305478096,
-0.006382063031196594,
0.07259288430213928,
0.057068951427936554,
-0.037109602242708206,
-0.00060524872969836,
0.012... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "lines", "annotation": null, "type_comment": null}}], "kwarg": nul... | def __init__(self, lines):
self.elided = []
self.lines = []
self.raw_lines = lines
self.num_lines = len(lines)
self.lines_without_raw_strings = CleanseRawStrings(lines)
for linenum in range(len(self.lines_without_raw_strings)):
self.lines.append(CleanseComments(
self.lines_withou... | |
16,771 | [
-0.018180938437581062,
0.02040240354835987,
0.006296099629253149,
-0.0033760422375053167,
-0.01055195927619934,
0.018812302500009537,
0.00003605770325521007,
-0.023430610075592995,
0.04333025962114334,
0.05962879955768585,
0.03708677366375923,
0.002810445614159107,
0.02686803601682186,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "clean_lines", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "linenum", "annotation": null, "type_comment": null}}], "kw... | def IsMacroDefinition(clean_lines, linenum):
if Search(r'^#define', clean_lines[linenum]):
return True
if linenum > 0 and Search(r'\\$', clean_lines[linenum - 1]):
return True
return False | |
16,772 | [
0.046355195343494415,
0.0279245488345623,
-0.01846407726407051,
-0.0036800007801502943,
-0.014552856795489788,
0.006329267285764217,
0.016436036676168442,
-0.06088576838374138,
-0.003813717747107148,
0.051169004291296005,
0.038443610072135925,
0.00863031204789877,
0.004997669719159603,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg... | def __init__(self, name, class_or_struct, clean_lines, linenum):
_BlockInfo.__init__(self, linenum, False)
self.name = name
self.is_derived = False
self.check_namespace_indentation = True
if class_or_struct == 'struct':
self.access = 'public'
self.is_struct = True
else:
self.ac... | |
16,773 | [
0.014800090342760086,
0.09472057968378067,
-0.015365976840257645,
-0.013233022764325142,
-0.006034301593899727,
0.019653650000691414,
0.017161576077342033,
-0.017683932557702065,
-0.012982727028429508,
0.05750270560383797,
0.05489092320203781,
0.009179321117699146,
0.025486627593636513,
0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "nesting_state", "annotation": null, "type_comment": null}}, {... | def CheckForNamespaceIndentation(filename, nesting_state, clean_lines, line,
error):
is_namespace_indent_item = (
len(nesting_state.stack) > 1 and
nesting_state.stack[-1].check_namespace_indentation and
isinstance(nesting_state.previous_stack_top, _NamespaceInfo) and... | |
16,774 | [
0.07975507527589798,
0.08486819267272949,
-0.004727841354906559,
-0.011671765707433224,
-0.0124721834436059,
0.06006718426942825,
-0.019221976399421692,
-0.0231404397636652,
0.0003281563986092806,
0.042338524013757706,
0.03712983429431915,
-0.027070850133895874,
0.04520568996667862,
0.0653... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}, {"_type": ... | def CheckEnd(self, filename, clean_lines, linenum, error):
# If there is a DISALLOW macro, it should appear near the end of
# the class.
seen_last_thing_in_class = False
for i in xrange(linenum - 1, self.starting_linenum, -1):
match = Search(
r'\b(DISALLOW_COPY_AND_ASSIGN|DISALLOW_IMPLIC... | |
16,775 | [
0.03134947270154953,
0.023078883066773415,
0.02033514715731144,
-0.05154021084308624,
-0.042665738612413406,
0.0006687034037895501,
0.007030000910162926,
-0.007482914254069328,
0.0228294525295496,
0.02453608252108097,
0.037335801869630814,
-0.007522298023104668,
-0.014650758355855942,
0.03... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def main():
filenames = ParseArguments(sys.argv[1:])
backup_err = sys.stderr
try:
# Change stderr to write with replacement characters so we don't die
# if we try to print something containing non-ASCII characters.
sys.stderr = codecs.StreamReader(sys.stderr, 'replace')
_cpplint_state.ResetErrorC... | |
16,776 | [
-0.014251225627958775,
-0.009634929709136486,
-0.01929103583097458,
-0.038306787610054016,
0.03578688204288483,
0.012472469359636307,
-0.026787223294377327,
0.012906570918858051,
-0.006342113018035889,
0.03426223248243332,
-0.02496611513197422,
-0.00946552399545908,
-0.05908012017607689,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def get_version(self):
if not self._version:
# Determine the controller version by querying the
# cluster nodes. Currently, the version will be the
# one of the server that responds.
self.request('GET', '/ws.v1/control-cluster/node')
if not self._versi... | |
16,777 | [
-0.010685119777917862,
0.00833108276128769,
0.00009137984307017177,
-0.025918925181031227,
0.03673278167843819,
0.04301021248102188,
0.0056368145160377026,
0.0031448460649698973,
0.011574014090001583,
-0.050513703376054764,
-0.02492581680417061,
-0.02555110678076744,
-0.01283685676753521,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "AsyncFunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields":... | async def async_update_data():
try:
thermostats = await hass.async_add_executor_job(
api.get_thermostats, session_id
)
except RequestException as err:
raise UpdateFailed(f"Error communicating with Schluter API: {err}") from err
if thermostats ... | |
16,778 | [
0.02696063183248043,
0.012847385369241238,
0.013402587734162807,
0.0016947556287050247,
-0.03675440326333046,
0.018343890085816383,
0.013025050051510334,
0.002834308659657836,
-0.00792273972183466,
0.005979530513286591,
0.026827383786439896,
0.02862624078989029,
0.017466669902205467,
0.012... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "repo", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "revs", "annotation": null, "type_comment": null}}, {"_type": "arg... | def backupwithlockheld(repo, revs, connect_opts=None, force=False):
remotepath = ccutil.getremotepath(repo.ui)
getconnection = lambda: repo.connectionpool.get(remotepath, connect_opts)
with repo.lock():
# Load the backup state under the repo lock to ensure a consistent view.
state = backupst... | |
16,779 | [
-0.016568521037697792,
-0.009390543214976788,
0.045692067593336105,
-0.07404378801584244,
-0.02050483040511608,
0.013635583221912384,
0.06262077391147614,
-0.05037447437644005,
-0.0444314181804657,
0.02465982362627983,
0.015603737905621529,
-0.018909724429249763,
-0.018125034868717194,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}... | def setUpClass(cls):
super(ServerNotificationTest, cls).setUpClass()
cur_dir = os.path.dirname(__file__)
# tacker/tests/etc...
# /functional/sol_v2
image_dir = os.path.join(
cur_dir, "../../etc/samples/etsi/nfv/common/Files/images")
image_file = "c... | |
16,780 | [
-0.008128759451210499,
-0.005803263746201992,
-0.05384255573153496,
-0.005562333855777979,
0.03752218559384346,
0.0680888369679451,
0.021369418129324913,
-0.04349305108189583,
0.02009144425392151,
0.039219167083501816,
-0.02331780642271042,
-0.033394955098629,
-0.010244750417768955,
0.0657... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "dense_svm", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "sparse_svm", "annotation": null, "type_comment": null}}, {"_... | def check_svm_model_equal(dense_svm, sparse_svm, X_train, y_train, X_test):
dense_svm.fit(X_train.toarray(), y_train)
if sparse.isspmatrix(X_test):
X_test_dense = X_test.toarray()
else:
X_test_dense = X_test
sparse_svm.fit(X_train, y_train)
assert_true(sparse.issparse(sparse_svm.supp... | |
16,781 | [
0.033511120826005936,
-0.0295595470815897,
-0.005483086220920086,
-0.012097558937966824,
0.018532665446400642,
0.039361219853162766,
0.012263127602636814,
-0.03306960314512253,
-0.0009368433384224772,
0.050067998468875885,
-0.0011244879569858313,
-0.04437243193387985,
0.020552605390548706,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_unsorted_indices():
# test that the result with sorted and unsorted indices in csr is the same
# we use a subset of digits as iris, blobs or make_classification didn't
# show the problem
digits = load_digits()
X, y = digits.data[:50], digits.target[:50]
X_test = sparse.csr_matrix(digits... | |
16,782 | [
-0.012633531354367733,
-0.01547954697161913,
0.0040781316347420216,
-0.024272114038467407,
0.03695192188024521,
0.01286491472274065,
0.017400028184056282,
0.008034787140786648,
0.0218657273799181,
0.08274269104003906,
-0.0014020384987816215,
-0.04708651453256607,
0.0132235586643219,
0.0047... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"va... | def test_svc_iris():
# Test the sparse SVC with the iris dataset
for k in ('linear', 'poly', 'rbf'):
sp_clf = svm.SVC(kernel=k).fit(iris.data, iris.target)
clf = svm.SVC(kernel=k).fit(iris.data.toarray(), iris.target)
assert_array_almost_equal(clf.support_vectors_,
... | |
16,783 | [
0.004948716145008802,
0.024285422638058662,
0.007379078771919012,
0.029467768967151642,
0.036409929394721985,
0.013629449531435966,
0.007676426321268082,
-0.012276213616132736,
0.03529335558414459,
0.06845066696405411,
0.031361084431409836,
-0.04395892098546028,
-0.015182940289378166,
0.03... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"arg... | def test_error():
# Test that it gives proper exception on deficient input
# impossible value of C
assert_raises(ValueError, svm.SVC(C=-1).fit, X, Y)
# impossible value of nu
clf = svm.NuSVC(nu=0.0)
assert_raises(ValueError, clf.fit, X_sp, Y)
Y2 = Y[:-1] # wrong dimensions for labels
... | |
16,784 | [
0.01628456637263298,
-0.02458580955862999,
-0.012905195355415344,
-0.007924448698759079,
0.029696078971028328,
0.039916615933179855,
0.0027008478064090014,
-0.02639913000166416,
0.04712280258536339,
0.05538871884346008,
0.0165200624614954,
-0.0661744475364685,
-0.02512745000422001,
0.05576... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_sparse_decision_function():
#Test decision_function
#Sanity check, test that decision_function implemented in python
#returns the same as the one in libsvm
# multi class:
svc = svm.SVC(kernel='linear', C=0.1, decision_function_shape='ovo')
clf = svc.fit(iris.data, iris.target)
de... | |
16,785 | [
-0.0154994772747159,
-0.010458163917064667,
-0.0010597568470984697,
-0.017468206584453583,
0.04062638431787491,
0.024535149335861206,
0.006628814619034529,
-0.028290528804063797,
0.024535149335861206,
0.07706495374441147,
-0.002953094197437167,
-0.06035919860005379,
-0.012802432291209698,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_linearsvc_iris():
# Test the sparse LinearSVC with the iris dataset
sp_clf = svm.LinearSVC(random_state=0).fit(iris.data, iris.target)
clf = svm.LinearSVC(random_state=0).fit(iris.data.toarray(), iris.target)
assert_equal(clf.fit_intercept, sp_clf.fit_intercept)
assert_array_almost_equal... | |
16,786 | [
-0.03269439935684204,
-0.002508575562387705,
-0.019101714715361595,
0.009652042761445045,
0.03537021204829216,
0.03150264918804169,
0.038180943578481674,
-0.03842828422784805,
0.0440722294151783,
0.0905279591679573,
-0.005348816979676485,
-0.02145148254930973,
-0.005539946723729372,
0.0423... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_linearsvc():
# Similar to test_SVC
clf = svm.LinearSVC(random_state=0).fit(X, Y)
sp_clf = svm.LinearSVC(random_state=0).fit(X_sp, Y)
assert_true(sp_clf.fit_intercept)
assert_array_almost_equal(clf.coef_, sp_clf.coef_, decimal=4)
assert_array_almost_equal(clf.intercept_, sp_clf.interce... | |
16,787 | [
0.020140470936894417,
-0.01738540641963482,
0.010741189122200012,
-0.04593357443809509,
0.03173074126243591,
0.010248364880681038,
0.038594651967287064,
-0.010064298287034035,
0.008158315904438496,
0.05448377504944801,
-0.012362164445221424,
-0.02110236883163452,
-0.01847793348133564,
0.01... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_weight():
# Test class weights
X_, y_ = make_classification(n_samples=200, n_features=100,
weights=[0.833, 0.167], random_state=0)
X_ = sparse.csr_matrix(X_)
for clf in (linear_model.LogisticRegression(),
svm.LinearSVC(random_state=0),
... | |
16,788 | [
0.04391924664378166,
-0.027736276388168335,
0.022939778864383698,
-0.0249626487493515,
0.004204757045954466,
-0.011386471800506115,
0.03968581557273865,
-0.03564007207751274,
0.015150681138038635,
0.08283345401287079,
0.008388659916818142,
-0.0025038246531039476,
-0.02043725736439228,
0.03... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_sample_weights():
# Test weights on individual samples
clf = svm.SVC()
clf.fit(X_sp, Y)
assert_array_equal(clf.predict([X[2]]), [1.])
sample_weight = [.1] * 3 + [10] * 3
clf.fit(X_sp, Y, sample_weight=sample_weight)
assert_array_equal(clf.predict([X[2]]), [2.]) | |
16,789 | [
0.022885149344801903,
-0.0069057513028383255,
0.0061994194984436035,
-0.011822907254099846,
0.045770298689603806,
0.03933724761009216,
0.006351552903652191,
-0.042336441576480865,
0.04959535598754883,
0.01727796159684658,
0.0020184789318591356,
-0.028883537277579308,
-0.02949206903576851,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_sparse_svc_clone_with_callable_kernel():
# Test that the "dense_fit" is called even though we use sparse input
# meaning that everything works fine.
a = svm.SVC(C=1, kernel=lambda x, y: x * y.T, probability=True,
random_state=0)
b = base.clone(a)
b.fit(X_sp, Y)
pred = b... | |
16,790 | [
-0.010515345260500908,
-0.020929398015141487,
0.022360144183039665,
-0.020081080496311188,
0.03481902554631233,
0.036059848964214325,
0.006786544341593981,
0.0016412421828135848,
0.019853174686431885,
0.06183858588337898,
0.02041027881205082,
-0.017194267362356186,
0.0033331301528960466,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_sparse_realdata():
# Test on a subset from the 20newsgroups dataset.
# This catches some bugs if input is not correctly converted into
# sparse format or weights are not correctly initialized.
data = np.array([0.03771744, 0.1003567, 0.01174647, 0.027069])
indices = np.array([6, 5, 35, 31])... | |
16,791 | [
0.013936303555965424,
-0.008645040914416313,
0.021131062880158424,
-0.010112318210303783,
0.013947634026408195,
0.03328850492835045,
0.05692356824874878,
0.0026073919143527746,
0.031611617654561996,
0.04346314072608948,
0.04547993838787079,
0.028552427887916565,
-0.007041798904538155,
-0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "poke_interval", "annotation": {"_type": "Name", "_fields": {"id":... | def __init__(self,
poke_interval: float = 60,
timeout: float = 60 * 60 * 24 * 7,
soft_fail: bool = False,
mode: str = 'poke',
exponential_backoff: bool = False,
*args,
**kwargs) -> None:
super(... | |
16,792 | [
0.015109602361917496,
-0.04267580062150955,
-0.01460860576480627,
0.015792779624462128,
-0.016236845403909683,
0.03113010711967945,
0.04048963636159897,
-0.03529748693108559,
0.036003436893224716,
0.06285230070352554,
0.0014567330945283175,
-0.03386281803250313,
-0.006626818794757128,
0.05... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_consistent_proba():
a = svm.SVC(probability=True, max_iter=1, random_state=0)
with ignore_warnings(category=ConvergenceWarning):
proba_1 = a.fit(X, Y).predict_proba(X)
a = svm.SVC(probability=True, max_iter=1, random_state=0)
with ignore_warnings(category=ConvergenceWarning):
pr... | |
16,793 | [
0.033649057149887085,
0.015634916722774506,
0.017904892563819885,
-0.02699693664908409,
0.021291648969054222,
0.03204672411084175,
0.0028951300773769617,
0.0017464857082813978,
0.058509547263383865,
0.05273142457008362,
-0.0018102149479091167,
0.011871853843331337,
-0.017649974673986435,
-... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _validate_input_values(self) -> None:
if not isinstance(self.poke_interval, (int, float)) or self.poke_interval < 0:
raise AirflowException(
"The poke_interval must be a non-negative number")
if not isinstance(self.timeout, (int, float)) or self.timeout < 0:
r... | |
16,794 | [
-0.0005806154804304242,
0.007962726056575775,
-0.005714989732950926,
-0.05595429241657257,
-0.006001934874802828,
0.027140222489833832,
-0.0016828133957460523,
0.02076765149831772,
0.021652398630976677,
0.01810145191848278,
-0.011424001306295395,
0.01648738607764244,
-0.011824528686702251,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "context", "annotation": {"_type": "Name", "_fields": {"id": "Dict... | def execute(self, context: Dict) -> None:
started_at = timezone.utcnow()
try_number = 1
if self.reschedule:
# If reschedule, use first start date of current try
task_reschedules = TaskReschedule.find_for_task_instance(context['ti'])
if task_reschedules:
... | |
16,795 | [
0.0036663829814642668,
0.0010129448492079973,
0.006384622305631638,
-0.025470277294516563,
0.00445081852376461,
-0.007394156418740749,
0.014201692305505276,
0.0011536317178979516,
0.02919463999569416,
0.03317820653319359,
0.020900089293718338,
-0.011514147743582726,
-0.029740335419774055,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "reset_randomstate", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "pos... | def test_full_output_false(reset_randomstate):
# newton needs f, score, start, fargs, kwargs
# bfgs needs f, score start, fargs, kwargs
# nm needs ""
# cg ""
# ncg ""
# powell ""
for method in fit_funcs:
func = fit_funcs[method]
if method == "newton":
xopt, retval... | |
16,796 | [
0.02168181724846363,
-0.011307614855468273,
0.0028469054959714413,
-0.04056340083479881,
0.01512126810848713,
-0.002785233547911048,
-0.011014256626367569,
0.018614893779158592,
0.04499043896794319,
0.03906994313001633,
0.0316026508808136,
-0.0012309364974498749,
-0.029789164662361145,
0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "reset_randomstate", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "pos... | def test_full_output(reset_randomstate):
for method in fit_funcs:
func = fit_funcs[method]
if method == "newton":
xopt, retvals = func(
dummy_func,
dummy_score,
[1],
(),
{},
hess=dummy_hess,
... | |
16,797 | [
0.05794315040111542,
0.050328537821769714,
-0.008673449978232384,
-0.01671610400080681,
0.02602034993469715,
0.022021550685167313,
0.07114481925964355,
0.016580931842327118,
0.004446551203727722,
0.01807907409965992,
0.033297035843133926,
0.040213268250226974,
0.011343070305883884,
-0.0023... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "path", "annotation": null, "type_comment": null}}, {"_type": "arg... | def __init__(self, path, mode):
if 'r' in mode and zipfile.is_zipfile(path):
zip_file = zipfile.ZipFile(path, "r")
self._file = zip_file.open(zip_file.filelist[0], "r")
else:
self._file = open(path, mode)
self.seq_already_write = False | |
16,798 | [
-0.012153325602412224,
0.0036586932837963104,
-0.0029243577737361193,
-0.03367844596505165,
0.021859826520085335,
-0.02686889097094536,
-0.007767510134726763,
0.01383840199559927,
0.023983485996723175,
-0.00566404964774847,
0.024883732199668884,
-0.006636431440711021,
-0.061170581728219986,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields"... | def test_minimize_scipy_slsqp():
func = fit_funcs["minimize"]
xopt, _ = func(
dummy_bounds_constraint_func,
None,
(2, 0),
(),
{
"min_method": "SLSQP",
"bounds": dummy_bounds(),
"constraints": dummy_constraints(),
},
hess... | |
16,799 | [
-0.03715459257364273,
-0.04502054303884506,
0.016187161207199097,
-0.01368320919573307,
-0.006727788597345352,
-0.025014221668243408,
-0.0016313623636960983,
-0.0026003788225352764,
0.049547888338565826,
0.027518173679709435,
0.027391711249947548,
-0.0237748920917511,
-0.020385704934597015,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class FixedIpTestV21(test.NoDBTestCase):
def setUp(self):
super(FixedIpTestV21, self).setUp()
fakes.stub_out_networking(self.stubs)
fakes.stub_out_rate_limiting(self.stubs)
self.stubs.Set(compute.api.API, "add_fixed_ip",
compute_api_add_fixed_ip)
self.s... | |
16,800 | [
-0.03254201263189316,
-0.052047617733478546,
0.019566865637898445,
-0.022923985496163368,
-0.04146166145801544,
-0.03932976722717285,
0.012344155460596085,
0.006074059754610062,
0.025974798947572708,
0.003589913249015808,
0.027812639251351357,
-0.012148119509220123,
-0.03393876925110817,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def setUp(self):
super(FixedIpTestV21, self).setUp()
fakes.stub_out_networking(self.stubs)
fakes.stub_out_rate_limiting(self.stubs)
self.stubs.Set(compute.api.API, "add_fixed_ip",
compute_api_add_fixed_ip)
self.stubs.Set(compute.api.API, "remove_fixed_ip",
... |