query stringlengths 10 2k | document stringlengths 20 51.2k | metadata dict | negatives listlengths 0 101 | negative_scores listlengths 0 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Deletes a deployment resource pool using v1beta1 API. | def DeleteBeta(self, deployment_resource_pool_ref):
req = self.messages.AiplatformProjectsLocationsDeploymentResourcePoolsDeleteRequest(
name=deployment_resource_pool_ref.RelativeName())
operation = self.client.projects_locations_deploymentResourcePools.Delete(
req)
return operation | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def delete_entity(self, context, pool):\n resource_path = \"%s/%s/%s\" % (RESOURCE_PREFIX, POOLS_RESOURCE,\n pool.id)\n msg = _(\"NetScaler driver pool removal: %s\") % pool.id\n LOG.debug(msg)\n self.client.remove_resource(context.tenant_id, resourc... | [
"0.6397726",
"0.6235195",
"0.6207189",
"0.61801",
"0.6021349",
"0.58845013",
"0.57817644",
"0.56008065",
"0.55686426",
"0.5542121",
"0.55001605",
"0.5479599",
"0.5396984",
"0.53380674",
"0.5324077",
"0.53164047",
"0.52782357",
"0.5266646",
"0.51605874",
"0.5125277",
"0.510422... | 0.6869241 | 0 |
Specifies whether to activate the backup plan. | def active(self) -> bool:
return pulumi.get(self, "active") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def aof_backup_enabled(self) -> Optional[bool]:\n return pulumi.get(self, \"aof_backup_enabled\")",
"def activated(self, value: bool) -> None:\n\n if not isinstance(value, bool):\n raise TypeError(f\"<value> should be {bool}, {type(value)} given.\")\n\n self._activated = value",
... | [
"0.6316651",
"0.57911307",
"0.5771789",
"0.57309693",
"0.5646848",
"0.56428057",
"0.5619663",
"0.560108",
"0.5594688",
"0.5497581",
"0.54954314",
"0.54880285",
"0.54880285",
"0.5417547",
"0.5384169",
"0.5376494",
"0.5362499",
"0.5359052",
"0.5334825",
"0.5325092",
"0.52808934... | 0.0 | -1 |
The start time of the backup task each day. The time is displayed in UTC and denoted by Z. | def backup_time(self) -> str:
return pulumi.get(self, "backup_time") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def created_at(self):\n return self._backup_started",
"def start_time(self) -> str:\n return pulumi.get(self, \"start_time\")",
"def start_time(self) -> str:\n return pulumi.get(self, \"start_time\")",
"def __get_starting_time(self):\n return self.__starting_time",
"def start_ti... | [
"0.6906189",
"0.6876964",
"0.6876964",
"0.6751362",
"0.6705184",
"0.6700239",
"0.6675997",
"0.66491383",
"0.6636427",
"0.6608807",
"0.65648144",
"0.65372765",
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"0.6471189",
"0.6471189",
"0.6471189",
"0.6471189",
"0.6471189",
"0.6471189",
"0.6471189"... | 0.70103383 | 0 |
The ID of the cluster for the backup. | def cluster_id(self) -> str:
return pulumi.get(self, "cluster_id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cluster_id(self):\n return self._cluster_id",
"def cluster_id(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"cluster_id\")",
"def cluster_id(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"cluster_id\")",
"def cluster_id(self) -> pulumi.Output[str]:\n return... | [
"0.8324291",
"0.83017325",
"0.83017325",
"0.83017325",
"0.83017325",
"0.78913355",
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"0.78295934",
"0.78185",
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"0.72488075",
"0.7064709",
"0.7005663",
"0.6984249",
"0.69754153",
"0.6965... | 0.86262465 | 3 |
The time when the backup plan was created. | def create_time(self) -> str:
return pulumi.get(self, "create_time") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_time(self):\n return self.block.create_time",
"def create_time(self):\n return self._create_time",
"def create_time(self):\n return self._create_time",
"def create_time(self):\n return self._create_time",
"def backup_time(self) -> str:\n return pulumi.get(self, \"... | [
"0.774873",
"0.77068156",
"0.77068156",
"0.77068156",
"0.75858915",
"0.7539437",
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"0.73642474",
"0.73277897",
"0.73277897",
"0.73277897",
"0.73277897",
"0.7... | 0.77322423 | 19 |
The ID of the data center for the backup in the cluster. | def data_center_id(self) -> str:
return pulumi.get(self, "data_center_id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def datacenter_uuid(self) -> str:\n return self.__datacenter_uuid",
"def datacenter_uuid(self) -> str:\n return self.__datacenter_uuid",
"def datacenter_uuid(self) -> str:\n return self.__datacenter_uuid",
"def cluster_id(self) -> str:\n return pulumi.get(self, \"cluster_id\")",
... | [
"0.75936496",
"0.75936496",
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"0.6805223",
"0.6769623",
"0.67540145",
"0.666994",
"0.66475",
"0.664... | 0.8123032 | 1 |
The ID of the Backup Plan. | def id(self) -> str:
return pulumi.get(self, "id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plan_id(self) -> str:\n return self._plan_id",
"def commitment_plan_id(self) -> Optional[str]:\n return pulumi.get(self, \"commitment_plan_id\")",
"def backup_vswitch_id(self) -> str:\n return pulumi.get(self, \"backup_vswitch_id\")",
"def get_plan(self):\n sub = self.get_subs... | [
"0.83166516",
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"0.6250278",
"0.6250278",
"0.6250278",
"0.6250278",
"0.62241125",
... | 0.0 | -1 |
The ID of the Cassandra cluster. | def cluster_id(self) -> str:
return pulumi.get(self, "cluster_id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cluster_id(self):\n return self._cluster_id",
"def cluster_id(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"cluster_id\")",
"def cluster_id(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"cluster_id\")",
"def cluster_id(self) -> pulumi.Output[str]:\n return... | [
"0.85668415",
"0.83511966",
"0.83511966",
"0.83511966",
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"0.7053002",
"0.7053002",
"0.7007788",
"0.6981728",
"0.6818104",
"0.676628... | 0.8827646 | 4 |
The name of the Cassandra cluster. | def cluster_name(self) -> str:
return pulumi.get(self, "cluster_name") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cluster_name(self):\n return self.name",
"def cluster_name(self):\n return self._data['cluster_name']",
"def cluster_name(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"cluster_name\")",
"def cluster_name(self) -> pulumi.Input[str]:\n return pulumi.get(self... | [
"0.8315744",
"0.8262142",
"0.7975982",
"0.7804748",
"0.7804748",
"0.76993036",
"0.76993036",
"0.76993036",
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"0.72726065",
"0.722773",
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"0.722773",
"0.722773",
"0.72105026",
"0.6832422",
"0.6832422",
"0.6832422",
"0.6832422",
... | 0.8575841 | 1 |
The expire time of the cluster. | def expire_time(self) -> str:
return pulumi.get(self, "expire_time") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def expire_time(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"expire_time\")",
"def expire_time(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"expire_time\")",
"def expire(self):\n return self._expire",
"def expiration_time(self) -> str:\n return pulumi.get(se... | [
"0.77707666",
"0.77707666",
"0.74485",
"0.7417755",
"0.7395604",
"0.73494434",
"0.7277013",
"0.7277013",
"0.70217264",
"0.70065075",
"0.6910934",
"0.6791802",
"0.6741217",
"0.67259383",
"0.6724482",
"0.6653676",
"0.6580373",
"0.65588254",
"0.6522548",
"0.6499184",
"0.64698774... | 0.8033372 | 2 |
The ID of the Cassandra cluster. | def id(self) -> str:
return pulumi.get(self, "id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cluster_id(self) -> str:\n return pulumi.get(self, \"cluster_id\")",
"def cluster_id(self) -> str:\n return pulumi.get(self, \"cluster_id\")",
"def cluster_id(self) -> str:\n return pulumi.get(self, \"cluster_id\")",
"def cluster_id(self) -> str:\n return pulumi.get(self, \"cl... | [
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"0.7778931",
"0.7450845",
"0.7417899",
"0.72796464",
"0.7111069",
"0.705300... | 0.0 | -1 |
The commodity ID of the Cassandra dataCenter. | def commodity_instance(self) -> str:
return pulumi.get(self, "commodity_instance") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def data_center_id(self) -> str:\n return pulumi.get(self, \"data_center_id\")",
"def data_center_id(self) -> str:\n return pulumi.get(self, \"data_center_id\")",
"def datacenter_uuid(self) -> str:\n return self.__datacenter_uuid",
"def datacenter_uuid(self) -> str:\n return self.... | [
"0.7966492",
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"0.6655425",
"0.65772194",
"0.64615285",
"0.6424082",
"0.63754654",... | 0.60675263 | 33 |
The id of the Cassandra dataCenter. | def data_center_id(self) -> str:
return pulumi.get(self, "data_center_id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def datacenter_uuid(self) -> str:\n return self.__datacenter_uuid",
"def datacenter_uuid(self) -> str:\n return self.__datacenter_uuid",
"def datacenter_uuid(self) -> str:\n return self.__datacenter_uuid",
"def get_datacenter_id(options):\n datacenter = get_datacenter(options)\n re... | [
"0.793135",
"0.793135",
"0.793135",
"0.7317481",
"0.7270138",
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"0.671187",
"0.66127026",
"0.65455854",
"0.65146637",
"0.64771473"... | 0.849744 | 0 |
The name of the Cassandra dataCenter. | def data_center_name(self) -> str:
return pulumi.get(self, "data_center_name") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def data_center_name(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"data_center_name\")",
"def data_center_name(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"data_center_name\")",
"def data_center_name(self) -> Optional[pulumi.Input[str]]:\n return p... | [
"0.7717032",
"0.75523645",
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"0.65065336",
"0.6225733",
"0.6187941",
"0.614879",
"0.60645205",
"0.6057441",
"0.6017646"... | 0.82598627 | 0 |
The expire time of the dataCenter. | def expire_time(self) -> str:
return pulumi.get(self, "expire_time") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def expire_time(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"expire_time\")",
"def expire_time(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"expire_time\")",
"def expire(self):\n return self._expire",
"def expire(self):\n\n return self._expire",
"def expir... | [
"0.8030801",
"0.8030801",
"0.79645157",
"0.78908944",
"0.781718",
"0.77083594",
"0.76692665",
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"0.76260203",
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"0.73039216",
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"0.7176995",
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"0.71636665",
"0.7147248",
"0.710315",
"0.70974517",
"0.7070578",
"0.7015195",
"0.69594... | 0.830514 | 1 |
The node count of dataCenter. | def node_count(self) -> int:
return pulumi.get(self, "node_count") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def number_of_data_nodes(self):\n return int(self._data['number_of_data_nodes'])",
"def number_of_nodes(self):\n return int(self._data['number_of_nodes'])",
"def data_center_count(self) -> int:\n return pulumi.get(self, \"data_center_count\")",
"def node_count(self):\n return self... | [
"0.8293622",
"0.80982393",
"0.7909831",
"0.78947747",
"0.7831935",
"0.7831935",
"0.7796765",
"0.77736795",
"0.7773148",
"0.765432",
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"0.7598447",
"0.7584228",
"0.7541496",
"0.7504654",
"0.7447203",
"0.74332774",
... | 0.8053879 | 2 |
VPC ID the dataCenter belongs to. | def vpc_id(self) -> str:
return pulumi.get(self, "vpc_id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def data_center_id(self) -> str:\n return pulumi.get(self, \"data_center_id\")",
"def data_center_id(self) -> str:\n return pulumi.get(self, \"data_center_id\")",
"def vpc_id(self):\n return self._vpc_id",
"def vpc_id(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"vpc_id... | [
"0.72342485",
"0.72342485",
"0.7168097",
"0.7076468",
"0.7076468",
"0.7076468",
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"0.700287",
"0.69876367",
"0.69876367",
"0.69876367",
"0.69876367",
"0.69876367",... | 0.7411766 | 5 |
Zone ID the dataCenter belongs to. | def zone_id(self) -> str:
return pulumi.get(self, "zone_id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getZoneId(self):\n return self.zoneId",
"def getZoneId(self):\n #self.zoneId\n if self.zoneId:\n return self.zoneId\n else:\n self.notify.warning(\"no zone id available\")",
"def data_center_id(self) -> str:\n return pulumi.get(self, \"data_center_id... | [
"0.7796656",
"0.76367396",
"0.75492495",
"0.75492495",
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"0.727942",
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"0.71350515",
"0.71350515",
"0.71350515",
"0.7121717",
"0.68806756",
"0.6... | 0.76764053 | 4 |
ID of the zone. | def id(self) -> str:
return pulumi.get(self, "id") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def zone_id(self) -> str:\n return pulumi.get(self, \"zone_id\")",
"def zone_id(self) -> str:\n return pulumi.get(self, \"zone_id\")",
"def zone_id(self) -> str:\n return pulumi.get(self, \"zone_id\")",
"def zone_id(self) -> str:\n return pulumi.get(self, \"zone_id\")",
"def zon... | [
"0.88910013",
"0.88910013",
"0.88910013",
"0.88910013",
"0.88910013",
"0.83657324",
"0.8352945",
"0.8327081",
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"0.82069296",
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"0.81045425",
"0.8086331",
"0.7999527",
"0.7999527",
"0.7999527",
"0.7999527",
"0.... | 0.0 | -1 |
Insertar o actualizar los mensajes de los clientes del especialista. | def createListMessageClients(lista, query_id, status,
client_id, specialist_id, queries_list=None):
data_obj = lista[0]
node_specialist = Params.PREFIX['specialist'] + str(specialist_id)
node_client = Params.PREFIX['client'] + str(client_id)
if status >= 4:
data_ob... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def client_message_handler(self, message, client):\n LOG.debug(f\"Разбираем сообщение: {message}\")\n if (\n s.KEY_ACTION in message\n and message[s.KEY_ACTION] == s.ACTION_PRESENCE\n and s.KEY_TIME in message\n and s.KEY_USER in message\n ):\n ... | [
"0.697522",
"0.61951756",
"0.60226417",
"0.6015432",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
"0.59364384",
... | 0.5505214 | 85 |
Reads a json file and returns a python dictionary | def parse_json(file_path):
j_data = open(file_path, 'r')
s_data = ""
for line in j_data:
s_data += line
j_data.close()
s_data.strip()
p_data = json.loads(s_data)
return p_data | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def read_json_file(file_name: str) -> Dict[str, Any]:\n with open(file_name) as file:\n return json.load(file)",
"def parse_json(json_file: str) -> dict:\n json_data = {}\n\n if not os.path.isfile(json_file):\n error_log(os.path.basename(json_file) + ' does not exist.')\n sys.exit(1... | [
"0.83751154",
"0.82943267",
"0.8181353",
"0.81426877",
"0.81300277",
"0.81067675",
"0.80700076",
"0.80605334",
"0.80577844",
"0.8057042",
"0.8025316",
"0.80008763",
"0.79561824",
"0.7943055",
"0.79373014",
"0.79176295",
"0.7911409",
"0.7909934",
"0.790651",
"0.78981483",
"0.7... | 0.0 | -1 |
Calculates the distance in km between two points on earth | def distance_in_km_between_earth_coordinates(b, e):
earth_radius_km = 6371
d_lat = degrees_to_radians(e[0] - b[0])
d_lon = degrees_to_radians(e[1] - b[1])
lat1 = degrees_to_radians(b[0])
lat2 = degrees_to_radians(e[0])
a = math.sin(d_lat / 2) * math.sin(d_lat / 2) + math.sin(d_lon / 2) * math... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def calc_distance_two_points(lat_from, long_from, lat_to, long_to):\n distance_in_km = haversine(\n (lat_from, long_from),\n (lat_to, long_to),\n unit='km')\n\n return distance_in_km",
"def distance(a, b):\n return vincenty((float(a.longitude), float(a.latitude)),\n ... | [
"0.78748363",
"0.78427213",
"0.78095484",
"0.78079325",
"0.7805469",
"0.7804685",
"0.7778978",
"0.7766998",
"0.77342445",
"0.77335966",
"0.7731504",
"0.7721754",
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"0.7678994",
"0.7660769",
"0.7640602",
"0.7595491",
"0.7577478",
"0.7556357",
"0.7552912",
"0.754586... | 0.73595625 | 48 |
Return whether listeners should shut down. | def requested() -> bool:
return _flag.is_set() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def shutting_down(self):\n return self._shutdown.is_set()",
"def is_in_shutdown(self):\n return self._in_shutdown",
"def is_stopped(self) -> bool:\n return self._stop_event.is_set()",
"def listening(self):\n return self._server is not None",
"def __bool__(self):\n return ... | [
"0.71930873",
"0.65985596",
"0.6496513",
"0.640543",
"0.63423336",
"0.632255",
"0.62850827",
"0.6222253",
"0.6222253",
"0.6222253",
"0.6222253",
"0.6214357",
"0.6212531",
"0.61657184",
"0.61601216",
"0.61282474",
"0.6040775",
"0.6025888",
"0.6025464",
"0.60035336",
"0.5999837... | 0.0 | -1 |
Should create market sell order. | async def test_create_market_sell_order(self):
trade_result = {
'error': 10009,
'description': 'TRADE_RETCODE_DONE',
'orderId': 46870472
}
client.trade = AsyncMock(return_value=trade_result)
actual = await api.create_market_sell_order('GBPUSD', 0.07, 0... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_sell_order(self):\n\n user = self.set_auth_token_header()\n\n # create stock shares\n shares_data = {\n 'account': user.account,\n 'quantity': 15,\n 'total_value': 18.75,\n 'stock': Stock.objects.get(code='GOOG')\n }\n StockSha... | [
"0.7068008",
"0.7000044",
"0.6864859",
"0.6863436",
"0.682368",
"0.6712586",
"0.66141903",
"0.66066027",
"0.66000926",
"0.6578752",
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"0.6420616",
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"0.6368696",
"0.6353988",
"0.6336104",
"0.63300925",
"0.6303567",
"0.6290725",
"0.6244863",... | 0.762105 | 0 |
sort on one specific quantile or on weighted value of all quants | def sort(self, quant=None):
if quant is None: # sort bei weight
self.__sortlist = [key for key, values in sorted(self.__quantile.items(), key=lambda items: sum((10^quantille * count for quantille, count in enumerate(items[1].values()))))]
elif isinstance(quant, int):
self.__sortl... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def sortAndReturnQuantiles(values):\n \n values.sort()\n N = len(values)\n return (values[0], values[N/4], values[N/2], values[(3*N)/4], values[N-1])",
"def quantile(xs: List[float], p: float) -> float:\n p_index = int(p * len(xs))\n return sorted(xs)[p_index]",
"def quantiles(x, qlist=[2.5, ... | [
"0.65836",
"0.63719434",
"0.62195444",
"0.613708",
"0.60903734",
"0.60849154",
"0.60336405",
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"0.6016141",
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"0.59544873",
"0.59407675",
"0.59395736",
"0.59302515",
"0.5869384",
"0.5869122",
"0.5869... | 0.7503818 | 0 |
From when to display data. SignalFx time syntax (e.g. `"5m"`, `"1h"`). Conflicts with `start_time` and `end_time`. | def time_range(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "time_range") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def format_start_time(self, data):\n return data",
"def when(self):\n\n # NOTE: - in %-I is to remove leading zero\n # (possibly platform specific?)\n\n local_tz = timezone.get_default_timezone()\n # convert dates to local timezone for display\n local_start = self.start_... | [
"0.68199307",
"0.67264014",
"0.6341061",
"0.62402517",
"0.6164807",
"0.6099881",
"0.5911759",
"0.58654535",
"0.58589",
"0.58582175",
"0.58326566",
"0.58098036",
"0.57810104",
"0.57702386",
"0.5760508",
"0.57278013",
"0.57128453",
"0.56838477",
"0.56676024",
"0.5665087",
"0.56... | 0.52812326 | 86 |
From when to display data. SignalFx time syntax (e.g. `"5m"`, `"1h"`). Conflicts with `start_time` and `end_time`. | def time_range(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "time_range") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def format_start_time(self, data):\n return data",
"def when(self):\n\n # NOTE: - in %-I is to remove leading zero\n # (possibly platform specific?)\n\n local_tz = timezone.get_default_timezone()\n # convert dates to local timezone for display\n local_start = self.start_... | [
"0.6821052",
"0.6727981",
"0.634113",
"0.6243241",
"0.61676466",
"0.6100328",
"0.59146667",
"0.58679175",
"0.5859595",
"0.5856528",
"0.5834439",
"0.58088434",
"0.57855153",
"0.5770551",
"0.5761752",
"0.5725982",
"0.5714083",
"0.5686509",
"0.566807",
"0.5664983",
"0.5660046",
... | 0.5280889 | 85 |
Get an existing EventFeedChart resource's state with the given name, id, and optional extra properties used to qualify the lookup. | def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
end_time: Optional[pulumi.Input[int]] = None,
name: Optional[pulumi.Input[str]] = None,
program_text:... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_series_by_id(self, id):\n self._build_series_cache()\n if id in self._series_cache:\n return self._series_cache[id]",
"def get_state_by_id(state_id):\n for key, value in storage.all(\"State\").items():\n if state_id == value.id:\n return jsonify(value.to_dict... | [
"0.53145844",
"0.50874305",
"0.5078806",
"0.5046663",
"0.5029745",
"0.502753",
"0.49664393",
"0.49062055",
"0.49021143",
"0.4900839",
"0.48005772",
"0.4794655",
"0.4792962",
"0.479037",
"0.47875798",
"0.47856343",
"0.47844377",
"0.47707763",
"0.4770655",
"0.46882266",
"0.4637... | 0.65315497 | 0 |
From when to display data. SignalFx time syntax (e.g. `"5m"`, `"1h"`). Conflicts with `start_time` and `end_time`. | def time_range(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "time_range") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def format_start_time(self, data):\n return data",
"def when(self):\n\n # NOTE: - in %-I is to remove leading zero\n # (possibly platform specific?)\n\n local_tz = timezone.get_default_timezone()\n # convert dates to local timezone for display\n local_start = self.start_... | [
"0.6820327",
"0.6726006",
"0.63390404",
"0.6241191",
"0.6164628",
"0.6096878",
"0.5911829",
"0.58658826",
"0.58584917",
"0.58584636",
"0.58323044",
"0.5809129",
"0.5781418",
"0.5770613",
"0.57604176",
"0.572559",
"0.5713567",
"0.5682391",
"0.5667646",
"0.5664351",
"0.56596935... | 0.0 | -1 |
Blur an input image | def blur(image):
return cv2.blur(image, (5, 5)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def Blur(image):\n\n return cv2.GaussianBlur(image,(7,7),0)",
"def blurImgPatch(self,inputImg):\n [height,width,channels] = inputImg.shape\n blurKernel = width\n if width > self.kernelSZ and height > self.kernelSZ:\n blurKernel = self.kernelSZ\n else:\n if blu... | [
"0.780616",
"0.7742639",
"0.768763",
"0.76191336",
"0.76191336",
"0.75785464",
"0.72787505",
"0.72261965",
"0.72219086",
"0.71253014",
"0.71067184",
"0.7066512",
"0.7017929",
"0.699321",
"0.69844586",
"0.69631493",
"0.6934541",
"0.6886775",
"0.6874224",
"0.6806872",
"0.676873... | 0.76212716 | 3 |
Utility function to exclude text present inside html tags | def tag_visible(element):
if element.parent.name in ['style', 'script', 'head', 'title', 'meta', '[document]']:
return False
if isinstance(element, Comment):
return False
return True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def strip_html_tags(text):\n if text is np.nan:\n return text\n regex = re.compile(r\"<.*?>\")\n return re.sub(regex, \"\", text)",
"def remove_html_tags(self,text):\n #https://medium.com/@jorlugaqui/how-to-strip-html-tags-from-a-string-in-python-7cb81a2bbf44\n clean = re.compile('<... | [
"0.7488058",
"0.7462756",
"0.73301125",
"0.7325959",
"0.7317411",
"0.7255343",
"0.72506577",
"0.72472817",
"0.72137594",
"0.7210438",
"0.7210438",
"0.7171452",
"0.7155941",
"0.7155941",
"0.714868",
"0.714868",
"0.7147311",
"0.7134879",
"0.7085192",
"0.7043476",
"0.70416874",
... | 0.0 | -1 |
Constructor. address the adjusted address where the resource exists name the name of the resource size the size of the resource | def __init__(self, address: int, name: unicode, size: int):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, owner, resourceFile):\n self.checksum = Path(resourceFile).md5 # Just use the path name as a unique ID\n _Resource.__init__(self, owner, resourceFile)\n if self._idevice:\n self._idevice.userResources.append(self)",
"def __init__(__self__,\n reso... | [
"0.6703524",
"0.66375357",
"0.65862215",
"0.6464372",
"0.63966644",
"0.63885355",
"0.63847905",
"0.63403594",
"0.63277406",
"0.63110715",
"0.6306028",
"0.621923",
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"0.61895126",
"0.6185376",
"0.61687636",
"0.61616343",
"0.6160726",
"0.61132133",
"0.6111263",
"0.6... | 0.6911514 | 0 |
Nondivisible subset length is the size of maximal subset of the iterable where sum of any two numbers in the subset is not evenly divisible by key | def non_divisible_subset_len(iterable, key):
# To check whether the given iterable is list or tuple
if type(iterable) == list or type(iterable) == tuple:
pass
else:
raise TypeError("Iterable should be of either list or tuple")
# To check whether all the given items in the itera... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_max_divisible_subset_length(self, nums):\n if not nums:\n return 0\n \n max_lengths = [1]\n max_length = 1\n\n for i in range(1, len(nums)):\n max_length_here = 1\n for j in range(i - 1, -1, -1):\n if nums[i] % nums[j] == 0:... | [
"0.65000314",
"0.63650805",
"0.6202835",
"0.6035759",
"0.6025423",
"0.59914047",
"0.5984323",
"0.594293",
"0.58675486",
"0.5857546",
"0.58171254",
"0.5811228",
"0.57724315",
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"0.57505786",
"0.57505786",
"0.57312775",
"0.5694013",
"0.5674147",
"0.5672041",
"0.5669... | 0.85606617 | 0 |
returns rendered main page of news app | def index(request):
#define variables
args = {}
all_teams = []
all_news = []
#getting data form models
leagues = League.objects.all()
#in this loop we get all teams in our all leagues to a 'all_teams' list
for league in leagues:
all_teams += league.team_set.all()
#in this loop we get all new form ever... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def index():\n current_news = get_news()\n print(current_news)\n title = \"Welcome to the Best News Website for latest and current news\"\n return render_template('index.html', title= title, current_news = current_news )",
"def main_page():\n return render_template(\"index.html\")",
"def main_pa... | [
"0.7881827",
"0.74604833",
"0.7357598",
"0.7292849",
"0.72538286",
"0.7123321",
"0.70983034",
"0.70856285",
"0.7077613",
"0.70492625",
"0.70282114",
"0.70263565",
"0.70055544",
"0.69556427",
"0.69554543",
"0.6943113",
"0.68972445",
"0.68901527",
"0.68893063",
"0.68782455",
"0... | 0.0 | -1 |
Generate random string with chosen length | def get_random_string(length: int) -> str:
return "".join(random.choices(string.ascii_letters + string.digits, k=length)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _generate_random_string(length: int):\n\tall_chars = string.ascii_letters + string.digits\n\treturn ''.join(random.choices(all_chars, k=length))",
"def generate_random_string(length):\r\n return ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(length))",
"def generate_random_... | [
"0.885544",
"0.86519516",
"0.8612974",
"0.86097294",
"0.85827047",
"0.8537869",
"0.8521892",
"0.84903014",
"0.8473161",
"0.8468432",
"0.84646994",
"0.844271",
"0.8438942",
"0.84097034",
"0.83754665",
"0.83658725",
"0.8352147",
"0.8332587",
"0.83171433",
"0.83063155",
"0.83030... | 0.8603864 | 4 |
Function that creates the training operation for a NN in tensorflow using the Adam optimization algorithm | def create_Adam_op(loss, alpha, beta1, beta2, epsilon):
optimizer = tf.train.AdamOptimizer(learning_rate=alpha, beta1=beta1,
beta2=beta2, epsilon=epsilon)
train = optimizer.minimize(loss)
return train | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_train_op(loss, alpha):\n optimizer = tf.train.GradientDescentOptimizer(alpha)\n return (optimizer.minimize(loss))",
"def _create_train_op(self):\n if self.optim_type == 'adagrad':\n self.optimizer = tf.train.AdagradOptimizer(self.learning_rate)\n elif self.optim_type == ... | [
"0.8000554",
"0.7739397",
"0.7739397",
"0.77335525",
"0.7721804",
"0.77060217",
"0.76269305",
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"0.75470567",
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"0.7366791",
"0.73281384",
"0.73243046",
"0.7302641",
"0.7206792",
"0.7204228",
"0.71760... | 0.7728143 | 4 |
Function that creates a learning rate decay operation in tensorflow using inverse time decay | def learning_rate_decay(alpha, decay_rate, global_step, decay_step):
lr = tf.train.inverse_time_decay(alpha, global_step, decay_step,
decay_rate, staircase=True)
return lr | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def learning_rate_decay(a, d_rate, g_step, d_step):\n return tf.train.inverse_time_decay(a, g_step, d_step, d_rate, True)",
"def learning_rate_decay(alpha, decay_rate, global_step, decay_step):\n gd = tf.train.inverse_time_decay(alpha, global_step, decay_step,\n decay_ra... | [
"0.8348887",
"0.8344214",
"0.8271942",
"0.8199409",
"0.81873596",
"0.8178199",
"0.7447817",
"0.73112005",
"0.72336626",
"0.72265005",
"0.72177935",
"0.70590556",
"0.7026295",
"0.70120716",
"0.6945354",
"0.68953574",
"0.68319166",
"0.6818437",
"0.67819655",
"0.67788035",
"0.67... | 0.8101124 | 6 |
This function prints and plots the confusion matrix. Normalization can be applied by setting `normalize=True`. | def plot_confusion_matrix(cm, classes,
normalize=False,
title='Confusion matrix',
cmap=plt.cm.Blues):
if normalize:
cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]
print("Confusion matrix")
else:
print(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_confusion_matrix(cm, classes=[0,1], normalize=False, title='Confusion matrix', print_matrix=False):\n\n if normalize:\n cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n print(\"Normalized confusion matrix\")\n else:\n print('Confusion matrix, without normalization')\n\n... | [
"0.8192804",
"0.8094402",
"0.80277497",
"0.80176693",
"0.7992383",
"0.7989708",
"0.7979215",
"0.79741204",
"0.7959607",
"0.7955097",
"0.79358983",
"0.79329205",
"0.7932711",
"0.79295874",
"0.79247147",
"0.79228914",
"0.792216",
"0.79215133",
"0.7921201",
"0.7920765",
"0.79161... | 0.78515416 | 43 |
Initializes the Example, performing tokenization and truncation to produce the encoder, decoder and target sequences, which are stored in self. | def __init__(self, review, weight, score, reward, vocab, hps):
self.hps = hps
article_words = review.split()
if len(article_words) > hps.max_enc_steps: #:
article_words = article_words[:hps.max_enc_steps]
self.original_review_input = review
# 리뷰가 20 단어 넘거나 reward 가 0.8 아래이면, 전부 0으로 간주 - neu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, example_list, hps, vocab):\n self.pad_id = vocab.word2id(data.PAD_TOKEN) # id of the PAD token used to pad sequences\n\n self.init_encoder_seq(example_list, hps) # initialize the input to the encoder'''\n #self.init_decoder_seq(example_list, hps) # initialize the input and targets for ... | [
"0.69515765",
"0.6916645",
"0.67878175",
"0.67015415",
"0.6489591",
"0.64766383",
"0.645522",
"0.6449766",
"0.6438438",
"0.6434035",
"0.63779473",
"0.635099",
"0.63470536",
"0.63246804",
"0.63197947",
"0.6310289",
"0.6284663",
"0.62830025",
"0.6243862",
"0.62066483",
"0.61896... | 0.0 | -1 |
Returns filtered queryset. Sadly djangofilters doesn't support AND syntax in queries (for CharFilter). ModelMultipleChoiceFilter behaves buggy when e.g. filtering by one tag. Also, it would require writing custom form to 'accept' invalid tag names and return empty queryset. Filtering by tag is done in a view to spare t... | def filter_queryset(self, queryset):
tags = self.request.GET.getlist("tag")
if tags:
for tag in tags:
queryset = queryset.filter(tag__tag=tag)
return super().filter_queryset(queryset) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def filter_queryset(self, request, queryset, view):\n # filter by tags if available.\n tags = request.query_params.get(\"tags\", None)\n\n if tags and isinstance(tags, six.string_types):\n tags = tags.split(\",\")\n return queryset.filter(tags__name__in=tags)\n\n r... | [
"0.7716958",
"0.7571407",
"0.72090757",
"0.71030664",
"0.7098294",
"0.70832247",
"0.70791626",
"0.70630354",
"0.69474465",
"0.69337475",
"0.6802946",
"0.66790587",
"0.66692173",
"0.66156983",
"0.66017294",
"0.65914786",
"0.6588451",
"0.657991",
"0.6549821",
"0.6456907",
"0.64... | 0.71294606 | 3 |
Return a human readable representation of the model instance. | def __str__(self):
return "{}".format(self.name) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __str__(self):\n return super().__str__() + self.model.__str__()",
"def __str__(self):\n model = self._meta.verbose_name.title()\n return f\"{model:s}: {self.name:s}\"",
"def __str__(self):\n model = self._meta.verbose_name.title()\n return f\"{model:s}: {self.name:s}\"",... | [
"0.79865694",
"0.778825",
"0.778825",
"0.7578485",
"0.7573961",
"0.7508439",
"0.73869205",
"0.725669",
"0.725669",
"0.72521317",
"0.7250976",
"0.72447103",
"0.72447103",
"0.7238946",
"0.72377145",
"0.72135806",
"0.7196659",
"0.71778005",
"0.7177506",
"0.7173099",
"0.7172897",... | 0.0 | -1 |
Gets an Element attribute. For compatibility with the ElementTree API. | def get(self, key: str, default: Any = None) -> Any:
return self.attributes.get(key, default) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_attribute(self, name):\n return self.element.get_attribute(name)",
"def get_attribute(self, selector, attribute):\n el = self.locate_element(selector)\n return el.get_attribute(attribute)",
"def get_attribute(self, lexeme: str) -> typing.Union[Attributes.Attributes]:\n retur... | [
"0.7939182",
"0.73955345",
"0.7309951",
"0.7282812",
"0.7020946",
"0.6984788",
"0.6954993",
"0.69361854",
"0.6882368",
"0.6822557",
"0.6817597",
"0.6811324",
"0.67305714",
"0.6707654",
"0.6690454",
"0.6639524",
"0.6633164",
"0.6581988",
"0.65467",
"0.65281224",
"0.6429144",
... | 0.0 | -1 |
Returns an XPath node for applying selectors on XSD schema/component. | def xpath_node(self) -> Union[SchemaElementNode, LazyElementNode]:
raise NotImplementedError | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def xpath(self, expr=''):\n from xml.dom.ext import GetAllNs\n from xml import xpath\n \n dom = self.get_dom(self(method='xml'))\n context = xpath.Context.Context(dom,\n processorNss=GetAllNs(dom.documentElement))\n return xpath.Evalu... | [
"0.54756564",
"0.53884596",
"0.5173115",
"0.51697695",
"0.51697695",
"0.513531",
"0.5025182",
"0.49852687",
"0.4879712",
"0.48566383",
"0.4844469",
"0.47911754",
"0.47664222",
"0.4744899",
"0.4715904",
"0.47050932",
"0.46934196",
"0.46802264",
"0.46683142",
"0.4604508",
"0.45... | 0.54965353 | 0 |
Finds the first XSD subelement matching the path. | def find(self, path: str, namespaces: Optional[NamespacesType] = None) -> Optional[E]:
path = _REGEX_TAG_POSITION.sub('', path.strip()) # Strips tags positions from path
namespaces = self._get_xpath_namespaces(namespaces)
parser = XPath2Parser(namespaces, strict=False)
context = XPathSc... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def find(elem, xpath):\n if elem is None:\n return None\n return next(iter(elem.xpath(xpath)), None)",
"def first(self, name: str) -> etree.Element:\n return self.from_name(name)[0]",
"def _safe_get_element(path, root):\n elements = path.split('.')\n parent = root\n for element in ... | [
"0.6375278",
"0.6189466",
"0.60962236",
"0.60354835",
"0.5939342",
"0.5885597",
"0.5812591",
"0.5812591",
"0.5799033",
"0.57528913",
"0.5741127",
"0.5718633",
"0.56454307",
"0.56394386",
"0.56075835",
"0.5579324",
"0.5513418",
"0.5511328",
"0.5508914",
"0.5490768",
"0.543213"... | 0.60481274 | 3 |
Creates and iterator for all XSD subelements matching the path. | def iterfind(self, path: str, namespaces: Optional[NamespacesType] = None) -> Iterator[E]:
path = _REGEX_TAG_POSITION.sub('', path.strip()) # Strip tags positions from path
namespaces = self._get_xpath_namespaces(namespaces)
parser = XPath2Parser(namespaces, strict=False)
context = XPat... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __iter__(self):\n element = self\n\n while element.HasField(\"pathtype\"):\n yield element\n\n if element.HasField(\"nested_path\"):\n element = element.nested_path\n else:\n break",
"def iter_xsd_components(elem, start=0):\n counter = 0\n for child in elem:\n ... | [
"0.6006369",
"0.5786637",
"0.5745477",
"0.55744034",
"0.5486291",
"0.5456796",
"0.54349524",
"0.54349524",
"0.54299873",
"0.5246323",
"0.523898",
"0.52027196",
"0.5192182",
"0.51908624",
"0.5186748",
"0.51849234",
"0.51726466",
"0.514867",
"0.5096463",
"0.50591964",
"0.505141... | 0.5686315 | 3 |
Creates an iterator for the XSD element and its subelements. If tag is not `None` or '', only XSD elements whose matches tag are returned from the iterator. Local elements are expanded without repetitions. Element references are not expanded because the global elements are not descendants of other elements. | def iter(self, tag: Optional[str] = None) -> Iterator[E]:
def safe_iter(elem: Any) -> Iterator[E]:
if tag is None or elem.is_matching(tag):
yield elem
for child in elem:
if child.parent is None:
yield from safe_iter(child)
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def iterchildren(self, tag: Optional[str] = None) -> Iterator[E]:\n if tag == '*':\n tag = None\n for child in self:\n if tag is None or child.is_matching(tag):\n yield child",
"def iter_xsd_components(elem, start=0):\n counter = 0\n for child in elem:\n ... | [
"0.57244277",
"0.55467594",
"0.54912657",
"0.53314024",
"0.51527023",
"0.51527023",
"0.51076376",
"0.5094536",
"0.50437206",
"0.50437206",
"0.50437206",
"0.50437206",
"0.50437206",
"0.50437206",
"0.50437206",
"0.502445",
"0.502445",
"0.502445",
"0.5023664",
"0.49797943",
"0.4... | 0.7338833 | 0 |
Creates an iterator for the child elements of the XSD component. If tag is not `None` or '', only XSD elements whose name matches tag are returned from the iterator. | def iterchildren(self, tag: Optional[str] = None) -> Iterator[E]:
if tag == '*':
tag = None
for child in self:
if tag is None or child.is_matching(tag):
yield child | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def iter(self, tag: Optional[str] = None) -> Iterator[E]:\n def safe_iter(elem: Any) -> Iterator[E]:\n if tag is None or elem.is_matching(tag):\n yield elem\n for child in elem:\n if child.parent is None:\n yield from safe_iter(child)\n ... | [
"0.7357695",
"0.614868",
"0.5988141",
"0.5920626",
"0.56678975",
"0.56479853",
"0.5637801",
"0.5637801",
"0.5619553",
"0.5590479",
"0.557138",
"0.557138",
"0.55427253",
"0.5399226",
"0.53812325",
"0.5371278",
"0.5337766",
"0.5332808",
"0.52959484",
"0.5264564",
"0.5233588",
... | 0.7396138 | 0 |
Returns a new instance of the collection with the given organizations. | def for_organizations(self, organizations):
return self.__class__(
self.session,
state=self.state,
term=self.term,
order=self.order,
direction=self.direction,
issues=self.issues,
categories=self.categories,
organiza... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def organizations(self):\r\n return Organizations(self)",
"def organizations(self):\r\n return organizations.Organizations(self)",
"def organization(self, organization_id_or_name):\r\n return Organization(self, organization_id_or_name)",
"def organizations(self):\n self.elements('... | [
"0.74378234",
"0.6760645",
"0.61181533",
"0.59568536",
"0.59443873",
"0.59443873",
"0.59443873",
"0.592083",
"0.5690632",
"0.5593542",
"0.5578716",
"0.5358783",
"0.52849287",
"0.5226263",
"0.5206419",
"0.5165867",
"0.5146548",
"0.5114389",
"0.50956005",
"0.50931937",
"0.50738... | 0.7296705 | 1 |
Returns a new instance of the collection with the given categories. | def for_categories(self, categories):
return self.__class__(
self.session,
state=self.state,
term=self.term,
order=self.order,
direction=self.direction,
issues=self.issues,
categories=categories,
organizations=self.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_categories(self, categories):\r\n category, created = Categories.objects.get_or_create(name=categories)\r\n category.save()",
"def __init__(self, categories, **kwargs):\n with KWArgs(kwargs) as k:\n metadata = k.optional(\"metadata\")\n options = k.options(growt... | [
"0.6957448",
"0.61840683",
"0.6041799",
"0.6003293",
"0.59911835",
"0.59630954",
"0.5941857",
"0.59269565",
"0.59262526",
"0.5878812",
"0.5878812",
"0.5878812",
"0.5856799",
"0.5821118",
"0.5821118",
"0.5821118",
"0.5821118",
"0.5749909",
"0.5749631",
"0.5748209",
"0.57361764... | 0.7146387 | 0 |
Return a relative version of a path | def relpath(path, start=os.path.curdir):
if not path:
raise ValueError("no path specified")
start_list = os.path.abspath(start).split(os.path.sep)
path_list = os.path.abspath(path).split(os.path.sep)
if start_list[0].lower() != path_list[0].lower(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def relative(self, path):\n return re.sub(self.path_regex, '', path).lstrip(os.sep)",
"def relativize(path: str):\n return join('.', path)",
"def relativePath(path):\n spath = pathSplit(path)\n return spath[-1]",
"def get_relative_path(path: str):\n return os.path.relpath(path, get_project... | [
"0.7916205",
"0.77834916",
"0.77383643",
"0.765349",
"0.7530642",
"0.7522436",
"0.7415771",
"0.7404095",
"0.729165",
"0.72837",
"0.7279967",
"0.723366",
"0.7217335",
"0.71864855",
"0.7178365",
"0.7105353",
"0.7092798",
"0.70900303",
"0.70873284",
"0.70858437",
"0.70681816",
... | 0.64848906 | 99 |
Return a relative version of a path | def relpath(path, start=os.path.curdir):
if not path:
raise ValueError("no path specified")
start_list = os.path.abspath(start).split(os.path.sep)
path_list = os.path.abspath(path).split(os.path.sep)
# Work out how much of the fi... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def relative(self, path):\n return re.sub(self.path_regex, '', path).lstrip(os.sep)",
"def relativize(path: str):\n return join('.', path)",
"def relativePath(path):\n spath = pathSplit(path)\n return spath[-1]",
"def get_relative_path(path: str):\n return os.path.relpath(path, get_project... | [
"0.7916205",
"0.77834916",
"0.77383643",
"0.765349",
"0.7530642",
"0.7522436",
"0.7415771",
"0.7404095",
"0.729165",
"0.72837",
"0.7279967",
"0.723366",
"0.7217335",
"0.71864855",
"0.7178365",
"0.7105353",
"0.7092798",
"0.70900303",
"0.70873284",
"0.70858437",
"0.70681816",
... | 0.67741203 | 51 |
Returns stopping policy function that stops after the first positive result | def stop_at_detection(lag=1):
def policy(model, hist):
# stop if there was a positive result after lag time
return (model.lastPositive>=0) and (model.lastPositive+lag <= model.t)
return policy | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def early_stopping(stats, curr_patience, prev_val_loss):\n # TODO implement early stopping\n curr_val_loss = stats[-1][1]\n if (curr_val_loss > prev_val_loss):\n curr_patience += 1\n else:\n prev_val_loss = curr_val_loss\n curr_patience = 0\n #\n return curr_patience, prev_va... | [
"0.59165436",
"0.5888314",
"0.5854395",
"0.5854152",
"0.5776123",
"0.5749691",
"0.5729605",
"0.5707932",
"0.5645517",
"0.56339544",
"0.5606294",
"0.56059587",
"0.5591644",
"0.55859965",
"0.55793047",
"0.55564517",
"0.55279166",
"0.55258447",
"0.55114996",
"0.549019",
"0.54717... | 0.6552366 | 0 |
Return string representation of the object | def __repr__(self):
return f"<Tutor {self.first_name.title()} {self.last_name.title()}>" | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __str__(self):\n return str(self.__dict__['_obj'])",
"def __str__(self):\n return str(self.obj)",
"def __str__(self):\n return str(self.serialize())",
"def to_string(self):\r\n return self.__str__()",
"def __str__(self):\n return str(self.__dict__)",
"def __... | [
"0.85371095",
"0.84460175",
"0.8383993",
"0.831346",
"0.82501984",
"0.82501984",
"0.8201213",
"0.81846005",
"0.81846005",
"0.81846005",
"0.81846005",
"0.81846005",
"0.81579655",
"0.8119125",
"0.8119125",
"0.8119125",
"0.8119125",
"0.8119125",
"0.8119125",
"0.8119125",
"0.8119... | 0.0 | -1 |
Profile has a `full_name` property that returns the full name. | def test_full_name(self):
self.assertEqual(self.john.full_name, "John Doe")
self.assertEqual(self.solar.full_name, "Nathan Graule") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def full_name(self):\n return self.user.get_full_name() or None",
"def full_name(self, obj: User) -> str:\n return obj.get_full_name()",
"def get_user_fullname(self):\n return self.applicant.userprofile.display_name()",
"def get_full_name(self):\n\n return self.name",
"def get_full_... | [
"0.756111",
"0.7542265",
"0.75405496",
"0.7434465",
"0.742376",
"0.74092025",
"0.73869056",
"0.7369854",
"0.7363648",
"0.73261255",
"0.73246175",
"0.73246175",
"0.7319643",
"0.7305715",
"0.73012435",
"0.72977847",
"0.7294285",
"0.7270271",
"0.72686267",
"0.7257439",
"0.725393... | 0.0 | -1 |
Profile has a `short_full_name` property that returns the first letter of the first name, and the complete last name. | def test_short_full_name(self):
self.assertEqual(self.john.full_name_short, "J. Doe")
self.assertEqual(self.solar.full_name_short, "N. Graule") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def full_name_short(self):\n return \"{}. {}\".format(str(self.user.first_name)[:1], self.user.last_name)",
"def get_short_name(self):\n return f\"{self.first_name} {self.last_name[:1]}\" if self.first_name else self.username",
"def get_short_name(self):\r\n return self.first_name",
"def... | [
"0.80181855",
"0.7944475",
"0.78361714",
"0.7801183",
"0.7789934",
"0.7780193",
"0.77766067",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
"0.77278566",
... | 0.0 | -1 |
Initialize the Flask application, and get a client for testing. | def setUp(self) -> None:
self.workdir = tempfile.mkdtemp()
self.server_name = 'fooserver.localdomain'
self.app = create_web_app()
self.app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///:memory:'
self.app.config['SERVER_NAME'] = self.server_name
self.app.config['STORAGE_B... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def client(app: Flask) -> FlaskClient:\n return app.test_client()",
"def set_up_client():\n #creating new flask app and a test client\n app = create_app('test')\n client = app.test_client()\n\n #creating the application context and\n #allowing test functions to run by calling test client\n #... | [
"0.80622804",
"0.77956086",
"0.7759904",
"0.77279",
"0.769529",
"0.7677219",
"0.76159257",
"0.75982946",
"0.7410409",
"0.7410409",
"0.7410409",
"0.7410409",
"0.7410409",
"0.7410409",
"0.7410409",
"0.7410409",
"0.7410409",
"0.7398664",
"0.7398664",
"0.7397032",
"0.73912126",
... | 0.0 | -1 |
Test default product price being 10. | def test_default_product_price(self):
prod = Product('Test Product')
self.assertEqual(prod.price, 10) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_default_product_price(self):\r\n prod = Product('Test Product')\r\n self.assertEqual(prod.price, 10)",
"def test_default_product_price(self):\n prod = product('Test Product')\n self.assertEqual(prod.price, 10)\n self.assertEqual(prod.weight, 20)",
"def test_default_p... | [
"0.87333673",
"0.8610413",
"0.8580199",
"0.7287374",
"0.72686666",
"0.72686666",
"0.72686666",
"0.72686666",
"0.72686666",
"0.72686666",
"0.7263497",
"0.717852",
"0.6858057",
"0.6813622",
"0.67408824",
"0.67408824",
"0.6709257",
"0.6688696",
"0.66599596",
"0.6654696",
"0.6654... | 0.8738257 | 8 |
Sets the day of this LolStatsTeamGame. | def day(self, day):
self._day = day | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setDay(self, *args):\n return _libsbml.Date_setDay(self, *args)",
"def time_of_day(self, value):\n self.time_of_day_value = value",
"def set_day(self, day):\n if day not in range(1, 31):\n raise ValueError(\"Day value must be in range [1..12] but is {}\".format(day))\n\n ... | [
"0.6518521",
"0.6135051",
"0.58721066",
"0.5782818",
"0.5665717",
"0.55951923",
"0.55936617",
"0.5545432",
"0.5542327",
"0.5506331",
"0.5506331",
"0.5506331",
"0.5506331",
"0.54740775",
"0.54513425",
"0.54499567",
"0.54499567",
"0.53745043",
"0.52961206",
"0.5266401",
"0.5262... | 0.6581926 | 1 |
Sets the team of this LolStatsTeamGame. | def team(self, team):
self._team = team | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_team(self, team):\n self.team_id = team.instance_id\n self.team_id_friendlyname = team.friendlyname\n self.team_name = team.name",
"def set_team(self, team):\n self.team = team.upper()",
"def update_team(self, team) -> None:\n if isinstance(team, Teambuilder):\n ... | [
"0.77588046",
"0.7652695",
"0.69294953",
"0.6736916",
"0.6736916",
"0.6736916",
"0.6736916",
"0.66429216",
"0.6458542",
"0.6455996",
"0.6438936",
"0.63592076",
"0.62245816",
"0.61351424",
"0.6038031",
"0.59396523",
"0.5926341",
"0.58712506",
"0.5841081",
"0.58276004",
"0.5725... | 0.77363896 | 4 |
Sets the name of this LolStatsTeamGame. | def name(self, name):
self._name = name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def team_name(self, team_name):\n\n self._team_name = team_name",
"def team_set_name(self, team_type: TeamType, team_name):\r\n\t\tself._teams[team_type].team_name = team_name\r\n\t\t_logger.info(\"Set the name of team {0} to \\\"{1}\\\".\" \\\r\n\t\t\t.format(team_type, team_name))",
"def team_name(sel... | [
"0.74090815",
"0.7287277",
"0.6649303",
"0.6546097",
"0.6546097",
"0.6546097",
"0.6546097",
"0.6546097",
"0.6510221",
"0.64759827",
"0.6452662",
"0.6452662",
"0.64489734",
"0.64489734",
"0.6441549",
"0.6435629",
"0.6428267",
"0.64254165",
"0.6411401",
"0.6358878",
"0.6357884"... | 0.0 | -1 |
Sets the match_name of this LolStatsTeamGame. | def match_name(self, match_name):
self._match_name = match_name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def team_name(self, team_name):\n\n self._team_name = team_name",
"def name_match_mode(self, name_match_mode):\n\n self._name_match_mode = name_match_mode",
"def team_set_name(self, team_type: TeamType, team_name):\r\n\t\tself._teams[team_type].team_name = team_name\r\n\t\t_logger.info(\"Set the ... | [
"0.6923743",
"0.655273",
"0.6378976",
"0.61955917",
"0.5840895",
"0.5827799",
"0.57469743",
"0.56654584",
"0.56654584",
"0.5659704",
"0.56302327",
"0.56202686",
"0.5605257",
"0.55775946",
"0.55341536",
"0.55341536",
"0.55341536",
"0.55341536",
"0.55341536",
"0.5526221",
"0.54... | 0.72310615 | 0 |
Sets the largest_killing_spree of this LolStatsTeamGame. | def largest_killing_spree(self, largest_killing_spree):
self._largest_killing_spree = largest_killing_spree | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def largest_multi_kill(self, largest_multi_kill):\n\n self._largest_multi_kill = largest_multi_kill",
"def killing_spree(self, killing_spree):\n\n self._killing_spree = killing_spree",
"def max_players(self, max_players):\n\n self._max_players = max_players",
"def non_heap_max(self, non_... | [
"0.65692127",
"0.53181964",
"0.52813274",
"0.5276609",
"0.5275508",
"0.5251135",
"0.5197423",
"0.51495624",
"0.5118947",
"0.5096044",
"0.50922614",
"0.5016843",
"0.4986851",
"0.49683028",
"0.49173167",
"0.49140057",
"0.49015263",
"0.48865104",
"0.48515078",
"0.48463422",
"0.4... | 0.84863275 | 0 |
Sets the killing_spree of this LolStatsTeamGame. | def killing_spree(self, killing_spree):
self._killing_spree = killing_spree | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def largest_killing_spree(self, largest_killing_spree):\n\n self._largest_killing_spree = largest_killing_spree",
"def kills(self, kills):\n\n self._kills = kills",
"def kills_per_min(self, kills_per_min):\n\n self._kills_per_min = kills_per_min",
"def reset_game(self):\n self.shi... | [
"0.5694161",
"0.5281896",
"0.50363606",
"0.46707574",
"0.45807952",
"0.45727634",
"0.4480516",
"0.44682366",
"0.445877",
"0.44495645",
"0.4447208",
"0.4408213",
"0.4360382",
"0.4304683",
"0.42538884",
"0.42424124",
"0.42357534",
"0.4232889",
"0.4232889",
"0.42328736",
"0.4228... | 0.788167 | 0 |
Sets the longest_time_spent_living of this LolStatsTeamGame. | def longest_time_spent_living(self, longest_time_spent_living):
self._longest_time_spent_living = longest_time_spent_living | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def max_time(self, max_time: str):\n\n self._max_time = max_time",
"def habit_longest_streak(self):\n # Clean up the console\n self.clear_console()\n # Prints the name of the application and instructions to the main menu\n self.back_to_menu_info()\n print(\"\"\"\n ... | [
"0.5565934",
"0.5539412",
"0.5406828",
"0.5274039",
"0.526848",
"0.5264393",
"0.5185174",
"0.51711977",
"0.5163331",
"0.51369023",
"0.51352847",
"0.50807106",
"0.49935538",
"0.4863525",
"0.4849407",
"0.48348057",
"0.48304814",
"0.48255908",
"0.48129472",
"0.48070338",
"0.4792... | 0.8304441 | 0 |
Sets the total_damage_dealt of this LolStatsTeamGame. | def total_damage_dealt(self, total_damage_dealt):
self._total_damage_dealt = total_damage_dealt | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def total_damage_dealt_to_champions(self, total_damage_dealt_to_champions):\n\n self._total_damage_dealt_to_champions = total_damage_dealt_to_champions",
"def magic_damage_dealt(self, magic_damage_dealt):\n\n self._magic_damage_dealt = magic_damage_dealt",
"def total_damage_taken(self, total_dama... | [
"0.7313242",
"0.6736841",
"0.6493701",
"0.6435351",
"0.6412331",
"0.57087266",
"0.5696347",
"0.5684266",
"0.56547225",
"0.56327397",
"0.55974543",
"0.55639935",
"0.5557575",
"0.55346996",
"0.5521134",
"0.5498188",
"0.54901236",
"0.54693204",
"0.54049015",
"0.5348864",
"0.5335... | 0.84173554 | 0 |
Sets the magic_damage_dealt of this LolStatsTeamGame. | def magic_damage_dealt(self, magic_damage_dealt):
self._magic_damage_dealt = magic_damage_dealt | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_dealt_to_champions(self, magic_damage_dealt_to_champions):\n\n self._magic_damage_dealt_to_champions = magic_damage_dealt_to_champions",
"def true_damage_dealt(self, true_damage_dealt):\n\n self._true_damage_dealt = true_damage_dealt",
"def physical_damage_dealt(self, physical_da... | [
"0.696661",
"0.67270285",
"0.6476713",
"0.6390807",
"0.6226219",
"0.5870502",
"0.5628375",
"0.5625828",
"0.5503729",
"0.5500713",
"0.5447467",
"0.5419171",
"0.5341729",
"0.5324876",
"0.5247896",
"0.52377033",
"0.5202111",
"0.5166766",
"0.5155306",
"0.5124192",
"0.5081432",
... | 0.81532514 | 0 |
Sets the physical_damage_dealt of this LolStatsTeamGame. | def physical_damage_dealt(self, physical_damage_dealt):
self._physical_damage_dealt = physical_damage_dealt | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_dealt(self, magic_damage_dealt):\n\n self._magic_damage_dealt = magic_damage_dealt",
"def total_damage_dealt(self, total_damage_dealt):\n\n self._total_damage_dealt = total_damage_dealt",
"def true_damage_dealt(self, true_damage_dealt):\n\n self._true_damage_dealt = true_d... | [
"0.7148835",
"0.681263",
"0.6801736",
"0.67789346",
"0.6089281",
"0.5985767",
"0.596009",
"0.5894784",
"0.566056",
"0.5613205",
"0.54890746",
"0.5480143",
"0.54429024",
"0.5409357",
"0.5385092",
"0.53787917",
"0.534559",
"0.5323002",
"0.52887297",
"0.52422076",
"0.5195981",
... | 0.81182486 | 0 |
Sets the true_damage_dealt of this LolStatsTeamGame. | def true_damage_dealt(self, true_damage_dealt):
self._true_damage_dealt = true_damage_dealt | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_dealt(self, magic_damage_dealt):\n\n self._magic_damage_dealt = magic_damage_dealt",
"def true_damage_dealt_to_champions(self, true_damage_dealt_to_champions):\n\n self._true_damage_dealt_to_champions = true_damage_dealt_to_champions",
"def total_damage_dealt(self, total_damage_d... | [
"0.7024237",
"0.6772881",
"0.6640434",
"0.64330626",
"0.60908115",
"0.599867",
"0.59184337",
"0.59171736",
"0.5891586",
"0.5867376",
"0.5703856",
"0.56503475",
"0.5590954",
"0.55486196",
"0.55426043",
"0.55410355",
"0.53986585",
"0.5387495",
"0.5367935",
"0.5281027",
"0.52732... | 0.82996035 | 0 |
Sets the largest_critical_strike of this LolStatsTeamGame. | def largest_critical_strike(self, largest_critical_strike):
self._largest_critical_strike = largest_critical_strike | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clan_chest_max_level(self, clan_chest_max_level):\n\n self._clan_chest_max_level = clan_chest_max_level",
"def __setLuredMaxRounds(self, suitId, rounds):\n if self.__suitIsLured(suitId):\n self.currentlyLuredSuits[suitId][1] = rounds",
"def max_players(self, max_players):\n\n ... | [
"0.569888",
"0.5676793",
"0.5458749",
"0.53790236",
"0.5321908",
"0.52146226",
"0.51754504",
"0.5058571",
"0.5019249",
"0.50134516",
"0.49489745",
"0.49489745",
"0.49400276",
"0.49245152",
"0.49181187",
"0.4880492",
"0.48750713",
"0.48703313",
"0.4828774",
"0.4818368",
"0.481... | 0.8311558 | 0 |
Sets the total_damage_dealt_to_champions of this LolStatsTeamGame. | def total_damage_dealt_to_champions(self, total_damage_dealt_to_champions):
self._total_damage_dealt_to_champions = total_damage_dealt_to_champions | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def total_damage_dealt(self, total_damage_dealt):\n\n self._total_damage_dealt = total_damage_dealt",
"def magic_damage_dealt_to_champions(self, magic_damage_dealt_to_champions):\n\n self._magic_damage_dealt_to_champions = magic_damage_dealt_to_champions",
"def true_damage_dealt_to_champions(self... | [
"0.73679274",
"0.70976293",
"0.6694231",
"0.6605472",
"0.6058799",
"0.58941954",
"0.5876487",
"0.57978076",
"0.55502486",
"0.5424441",
"0.5418691",
"0.5391538",
"0.53550494",
"0.5319113",
"0.5283111",
"0.5268654",
"0.5243026",
"0.5221057",
"0.5201682",
"0.51904607",
"0.517316... | 0.8478791 | 0 |
Sets the magic_damage_dealt_to_champions of this LolStatsTeamGame. | def magic_damage_dealt_to_champions(self, magic_damage_dealt_to_champions):
self._magic_damage_dealt_to_champions = magic_damage_dealt_to_champions | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def true_damage_dealt_to_champions(self, true_damage_dealt_to_champions):\n\n self._true_damage_dealt_to_champions = true_damage_dealt_to_champions",
"def magic_damage_dealt(self, magic_damage_dealt):\n\n self._magic_damage_dealt = magic_damage_dealt",
"def physical_damage_dealt_to_champions(self... | [
"0.71770644",
"0.7071609",
"0.6858378",
"0.6697823",
"0.60695034",
"0.5647399",
"0.5357546",
"0.5354944",
"0.52696556",
"0.52458304",
"0.5212171",
"0.50096923",
"0.49551123",
"0.49399656",
"0.48440322",
"0.47519198",
"0.4750016",
"0.4746898",
"0.47460318",
"0.4726286",
"0.471... | 0.8479353 | 0 |
Sets the physical_damage_dealt_to_champions of this LolStatsTeamGame. | def physical_damage_dealt_to_champions(self, physical_damage_dealt_to_champions):
self._physical_damage_dealt_to_champions = physical_damage_dealt_to_champions | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_dealt_to_champions(self, magic_damage_dealt_to_champions):\n\n self._magic_damage_dealt_to_champions = magic_damage_dealt_to_champions",
"def true_damage_dealt_to_champions(self, true_damage_dealt_to_champions):\n\n self._true_damage_dealt_to_champions = true_damage_dealt_to_champi... | [
"0.78034467",
"0.74359363",
"0.72061217",
"0.6874971",
"0.62328494",
"0.6100102",
"0.5631323",
"0.5463596",
"0.5377505",
"0.53587437",
"0.5346134",
"0.5165128",
"0.5061283",
"0.4992109",
"0.49337628",
"0.4901481",
"0.4866304",
"0.4861426",
"0.48062065",
"0.4783141",
"0.476101... | 0.8226858 | 0 |
Sets the true_damage_dealt_to_champions of this LolStatsTeamGame. | def true_damage_dealt_to_champions(self, true_damage_dealt_to_champions):
self._true_damage_dealt_to_champions = true_damage_dealt_to_champions | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_dealt_to_champions(self, magic_damage_dealt_to_champions):\n\n self._magic_damage_dealt_to_champions = magic_damage_dealt_to_champions",
"def true_damage_dealt(self, true_damage_dealt):\n\n self._true_damage_dealt = true_damage_dealt",
"def total_damage_dealt_to_champions(self, t... | [
"0.77198553",
"0.71025556",
"0.69968516",
"0.68976027",
"0.5956086",
"0.55418825",
"0.55248135",
"0.53897387",
"0.5361901",
"0.5154018",
"0.5123562",
"0.5119237",
"0.5081986",
"0.5000916",
"0.49964744",
"0.49580693",
"0.4956659",
"0.4931309",
"0.4926352",
"0.4913904",
"0.4913... | 0.84636974 | 0 |
Sets the total_heal of this LolStatsTeamGame. | def total_heal(self, total_heal):
self._total_heal = total_heal | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def total_units_healed(self, total_units_healed):\n\n self._total_units_healed = total_units_healed",
"def heal_damage(self, heal):\n if self.hp + heal < self.max_hp:\n self.hp += heal\n else:\n self.hp = self.max_hp",
"def heal(self, amount: int) -> str:\n if ... | [
"0.6859413",
"0.6516858",
"0.5804191",
"0.5692934",
"0.5684895",
"0.5650968",
"0.5642232",
"0.56063056",
"0.55835277",
"0.5534968",
"0.5482959",
"0.5463433",
"0.53949636",
"0.52674735",
"0.52674735",
"0.52674735",
"0.52674735",
"0.52674735",
"0.52674735",
"0.52674735",
"0.526... | 0.8385051 | 0 |
Sets the total_units_healed of this LolStatsTeamGame. | def total_units_healed(self, total_units_healed):
self._total_units_healed = total_units_healed | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def total_heal(self, total_heal):\n\n self._total_heal = total_heal",
"def total_damage_taken(self, total_damage_taken):\n\n self._total_damage_taken = total_damage_taken",
"def total_minions_killed(self, total_minions_killed):\n\n self._total_minions_killed = total_minions_killed",
"def... | [
"0.6235971",
"0.5814958",
"0.5421527",
"0.53700215",
"0.53576297",
"0.5270323",
"0.52530295",
"0.5174288",
"0.5163912",
"0.5069691",
"0.50659233",
"0.50348693",
"0.5032647",
"0.500087",
"0.500087",
"0.500087",
"0.49982315",
"0.49738336",
"0.49677417",
"0.495717",
"0.49380636"... | 0.8190873 | 0 |
Sets the total_damage_taken of this LolStatsTeamGame. | def total_damage_taken(self, total_damage_taken):
self._total_damage_taken = total_damage_taken | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_taken(self, magic_damage_taken):\n\n self._magic_damage_taken = magic_damage_taken",
"def total_damage_dealt(self, total_damage_dealt):\n\n self._total_damage_dealt = total_damage_dealt",
"def physical_damage_taken(self, physical_damage_taken):\n\n self._physical_damage_ta... | [
"0.62446934",
"0.6203283",
"0.61898994",
"0.5937868",
"0.5892759",
"0.5673338",
"0.56026864",
"0.559628",
"0.55156296",
"0.5492688",
"0.5474528",
"0.5439922",
"0.5419961",
"0.54167867",
"0.54162794",
"0.5409217",
"0.5390327",
"0.53783405",
"0.530492",
"0.5302419",
"0.5236356"... | 0.82404226 | 0 |
Sets the magic_damage_taken of this LolStatsTeamGame. | def magic_damage_taken(self, magic_damage_taken):
self._magic_damage_taken = magic_damage_taken | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def physical_damage_taken(self, physical_damage_taken):\n\n self._physical_damage_taken = physical_damage_taken",
"def tower_damage(self, tower_damage):\n\n self._tower_damage = tower_damage",
"def total_damage_taken(self, total_damage_taken):\n\n self._total_damage_taken = total_damage_ta... | [
"0.6174807",
"0.60939455",
"0.59983486",
"0.59941757",
"0.5745691",
"0.5504919",
"0.5385688",
"0.5276123",
"0.511665",
"0.5091942",
"0.5036372",
"0.49585813",
"0.49102408",
"0.4897023",
"0.4846867",
"0.48235705",
"0.48113322",
"0.48077172",
"0.48073667",
"0.47667962",
"0.4734... | 0.7991215 | 0 |
Sets the physical_damage_taken of this LolStatsTeamGame. | def physical_damage_taken(self, physical_damage_taken):
self._physical_damage_taken = physical_damage_taken | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_taken(self, magic_damage_taken):\n\n self._magic_damage_taken = magic_damage_taken",
"def total_damage_taken(self, total_damage_taken):\n\n self._total_damage_taken = total_damage_taken",
"def true_damage_taken(self, true_damage_taken):\n\n self._true_damage_taken = true_d... | [
"0.6574391",
"0.65474355",
"0.61154944",
"0.59185237",
"0.5788378",
"0.5305879",
"0.5178843",
"0.49910167",
"0.49444208",
"0.49372658",
"0.4935728",
"0.49147326",
"0.49014795",
"0.4697341",
"0.4690042",
"0.4688112",
"0.4652797",
"0.46511847",
"0.46285853",
"0.46170166",
"0.45... | 0.79949605 | 0 |
Sets the true_damage_taken of this LolStatsTeamGame. | def true_damage_taken(self, true_damage_taken):
self._true_damage_taken = true_damage_taken | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def magic_damage_taken(self, magic_damage_taken):\n\n self._magic_damage_taken = magic_damage_taken",
"def physical_damage_taken(self, physical_damage_taken):\n\n self._physical_damage_taken = physical_damage_taken",
"def total_damage_taken(self, total_damage_taken):\n\n self._total_damage... | [
"0.65282154",
"0.6153268",
"0.6125436",
"0.56721234",
"0.5500364",
"0.53191286",
"0.5243601",
"0.5230803",
"0.51747876",
"0.5144253",
"0.5113401",
"0.5034283",
"0.50069904",
"0.49398163",
"0.49328092",
"0.49173892",
"0.49171838",
"0.48811084",
"0.48163986",
"0.48125765",
"0.4... | 0.7987169 | 0 |
Sets the gold_earned of this LolStatsTeamGame. | def gold_earned(self, gold_earned):
self._gold_earned = gold_earned | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def gold_per_min(self, gold_per_min):\n\n self._gold_per_min = gold_per_min",
"def gold_spent(self, gold_spent):\n\n self._gold_spent = gold_spent",
"def get_gold(self, gold):\n self.gold += gold",
"def away_team_score(self, away_team_score):\n\n self._away_team_score = away_team_... | [
"0.5876666",
"0.5759119",
"0.5597268",
"0.53021246",
"0.5249182",
"0.5228388",
"0.5150372",
"0.49752992",
"0.49687976",
"0.48658228",
"0.48658228",
"0.480704",
"0.4781503",
"0.47633094",
"0.47567323",
"0.47361478",
"0.46834096",
"0.4667335",
"0.4636213",
"0.46275184",
"0.4620... | 0.8619108 | 0 |
Sets the gold_spent of this LolStatsTeamGame. | def gold_spent(self, gold_spent):
self._gold_spent = gold_spent | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def gold_earned(self, gold_earned):\n\n self._gold_earned = gold_earned",
"def gold_per_min(self, gold_per_min):\n\n self._gold_per_min = gold_per_min",
"def get_gold(self, gold):\n self.gold += gold",
"def set_steals_percentage(self):\n bx = self.get_standard_stats()\n tea... | [
"0.6016059",
"0.5768287",
"0.56278276",
"0.5453209",
"0.50542057",
"0.4923472",
"0.49074647",
"0.49031663",
"0.48927873",
"0.48701409",
"0.48511133",
"0.48511133",
"0.48511133",
"0.48511133",
"0.47921133",
"0.47768274",
"0.4773867",
"0.4742378",
"0.47230792",
"0.47146136",
"0... | 0.80748326 | 0 |
Sets the neutral_minions_k_illed of this LolStatsTeamGame. | def neutral_minions_k_illed(self, neutral_minions_k_illed):
self._neutral_minions_k_illed = neutral_minions_k_illed | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def neutral_minions_k_illed_team_jungle(self, neutral_minions_k_illed_team_jungle):\n\n self._neutral_minions_k_illed_team_jungle = neutral_minions_k_illed_team_jungle",
"def neutral_minions_killed_enemy_jungle(self, neutral_minions_killed_enemy_jungle):\n\n self._neutral_minions_killed_enemy_jungl... | [
"0.7553893",
"0.6149367",
"0.57203025",
"0.5538771",
"0.5398704",
"0.51978314",
"0.5167784",
"0.51533484",
"0.50103396",
"0.5001333",
"0.49726048",
"0.4972335",
"0.4954755",
"0.49495584",
"0.4938061",
"0.4896305",
"0.4835171",
"0.48207647",
"0.4799806",
"0.4767198",
"0.474412... | 0.87231857 | 0 |
Sets the vision_wards_bought_in_game of this LolStatsTeamGame. | def vision_wards_bought_in_game(self, vision_wards_bought_in_game):
self._vision_wards_bought_in_game = vision_wards_bought_in_game | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def sight_wards_bought_in_game(self, sight_wards_bought_in_game):\n\n self._sight_wards_bought_in_game = sight_wards_bought_in_game",
"def face_offs_won(self, face_offs_won):\n\n self._face_offs_won = face_offs_won",
"def wards_killed(self, wards_killed):\n\n self._wards_killed = wards_kil... | [
"0.81113505",
"0.5307163",
"0.5200903",
"0.51131237",
"0.5112352",
"0.50623137",
"0.5056586",
"0.5056586",
"0.5018464",
"0.48356545",
"0.47582802",
"0.4750072",
"0.47407368",
"0.471592",
"0.471592",
"0.46656686",
"0.4663999",
"0.4583661",
"0.4579174",
"0.45683786",
"0.4559659... | 0.8872322 | 0 |
Returns true if both objects are equal | def __eq__(self, other):
if not isinstance(other, LolStatsTeamGame):
return False
return self.__dict__ == other.__dict__ | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __eq__(self, other):\n return are_equal(self, other)",
"def __eq__(self, other):\n return are_equal(self, other)",
"def __eq__(self,other):\n try: return self.object==other.object and isinstance(self,type(other))\n except: return False",
"def __eq__(self, other):\n if i... | [
"0.8088132",
"0.8088132",
"0.8054589",
"0.7982687",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
... | 0.0 | -1 |
Returns true if both objects are not equal | def __ne__(self, other):
return not self == other | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __ne__(self, other: object) -> bool:\n if self.__eq__(other):\n return False\n return True",
"def __ne__(self, other: object) -> bool:\n return not self.__eq__(other)",
"def __ne__(self, other) -> bool:\n return not self.__eq__(other)",
"def __eq__(self, other):\n ... | [
"0.8457179",
"0.8393067",
"0.81457263",
"0.8140635",
"0.8133462",
"0.8094992",
"0.8093376",
"0.8093376",
"0.8093376",
"0.80863357",
"0.80863357",
"0.8077303",
"0.8077303",
"0.8066831"
] | 0.0 | -1 |
Quickly identify whether a series contains more than 1 distinct value | def is_not_constant(series: np.ndarray) -> bool:
#print("enter bartpy/bartpy/data.py is_not_constant")
if len(series) <= 1:
#print("-exit bartpy/bartpy/data.py is_not_constant")
return False
first_value = None
for i in range(1, len(series)):
# if not series.mask[i] and serie... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_unique(s):\n\ta = s.to_numpy() # s.values (pandas<0.24)\n\treturn (a[0] == a).all()",
"def is_unique(x):\n return len(set(x)) == len(x)",
"def isdistinct(seq):\n return len(seq) == len(set(seq))",
"def is_distinct(n):\n nstr = str(n)\n return len(nstr) == len(set(nstr))",
"def contains_d... | [
"0.72403795",
"0.7142758",
"0.7075137",
"0.6542755",
"0.6509165",
"0.6453014",
"0.64200115",
"0.6415636",
"0.6378587",
"0.63772196",
"0.6277589",
"0.6229018",
"0.6221599",
"0.6202743",
"0.61545104",
"0.6130351",
"0.61030966",
"0.60994184",
"0.6088143",
"0.6078976",
"0.6076169... | 0.5658421 | 56 |
Choose a variable at random from the set of splittable variables Returns str a variable name that can be split on | def random_splittable_variable(self) -> str:
#print("enter bartpy/bartpy/data.py CovariateMatrix random_splittable_variable")
if self.is_at_least_one_splittable_variable():
output = np.random.choice(np.array(self.splittable_variables()), 1)[0]
#print("-exit bartpy/bartpy... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def random_choice(var_name):\r\n return random.choice(var_name)",
"def choose_secret_word():\n # return random.choice(['python' , 'django' , 'concatenate'])\n return random.choice(['concatenate' , 'concatenate' , 'concatenate'])",
"def generate_name():\n return random.choice(ADJECTIVES) + \"_\" + r... | [
"0.74896026",
"0.6250718",
"0.60365015",
"0.60270375",
"0.59313554",
"0.58190274",
"0.57919014",
"0.5783276",
"0.5778537",
"0.57704556",
"0.57559144",
"0.5751686",
"0.572386",
"0.5720365",
"0.5696701",
"0.5687411",
"0.56764585",
"0.56683105",
"0.56631017",
"0.5653476",
"0.564... | 0.6739524 | 1 |
Identify whether feature contains only unique values, i.e. it has no duplicated values Useful to provide a faster way to calculate the probability of a value being selected in a variable Returns List[int] | def is_column_unique(self, i: int) -> bool:
#print("enter bartpy/bartpy/data.py CovariateMatrix is_column_unique")
if self._unique_columns[i] is None:
self._unique_columns[i] = len(np.unique(self.get_column(i))) == self._n_obsv
output = self._unique_columns[i]
#print... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def count_unique_features(self):\n return N_UNIQUE_FEATS",
"def get_unique(self):\n unique_values = len(self.df[self.col_name].unique())\n return unique_values",
"def possible_values(self) -> Set[int]:\n return {x for x in SudokuTile.UNIVERSE_OF_TILE_VALUES if\n (x not in sel... | [
"0.6628855",
"0.66232497",
"0.6540773",
"0.6333208",
"0.63077545",
"0.62661034",
"0.6220957",
"0.6186206",
"0.61564434",
"0.6133004",
"0.6071856",
"0.6038317",
"0.60283816",
"0.6012944",
"0.59706634",
"0.59513456",
"0.5923223",
"0.5910306",
"0.5903488",
"0.5901066",
"0.589573... | 0.0 | -1 |
Normalize y into the range (0.5, 0.5) Useful for allowing the leaf parameter prior to be 0, and to standardize the sigma prior | def normalize_y(y: np.ndarray) -> np.ndarray:
#print("enter bartpy/bartpy/data.py Target normalize_y")
y_min, y_max = np.min(y), np.max(y)
output = -0.5 + ((y - y_min) / (y_max - y_min))
#print("-exit bartpy/bartpy/data.py Target normalize_y")
return output | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unnormalize_y(y, y_mean, y_std, scale_std=False):\n if not scale_std:\n return y * y_std + y_mean\n else:\n return y * y_std",
"def sigmanorm(y):\n y = y.copy()\n y -= y.mean() # set to zero mean\n y /= y.std() # rescale to units of sigma\n return y",
"def normalize(self, e... | [
"0.6827259",
"0.6463445",
"0.6302323",
"0.61126107",
"0.6048823",
"0.5970111",
"0.595618",
"0.5891516",
"0.58850604",
"0.588391",
"0.5829071",
"0.5821494",
"0.58209383",
"0.5802048",
"0.57533073",
"0.5744013",
"0.57303196",
"0.5723295",
"0.571871",
"0.569827",
"0.56949353",
... | 0.77289015 | 0 |
Returns ``True`` if credentials can be updated directly. | def is_directly_updatable(credentials: Credentials) -> bool:
if credentials.base_url == QE_URL:
return True
if credentials.base_url in (QCONSOLE_URL, QE2_URL, QCONSOLE2_URL):
if credentials.base_url == credentials.url:
return True
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def credentials(self):\n return True",
"def has_credentials(self):\n return self.username and self.password and self.url and self.xml_rpc",
"def checkCredentialChange(response):\n credentials = getattr(flask.g, '_credentials', None)\n if credentials is not None:\n config = get_user_config()\... | [
"0.68011355",
"0.6657057",
"0.658802",
"0.6474138",
"0.6389873",
"0.63276404",
"0.6202337",
"0.6151516",
"0.61509186",
"0.615052",
"0.613814",
"0.61256343",
"0.6118167",
"0.61124957",
"0.61108917",
"0.61013114",
"0.60943335",
"0.6092022",
"0.60357577",
"0.6023789",
"0.6023065... | 0.7435469 | 0 |
a valid API key. | def a_valid_api_key(configuration):
configuration.api_key["apiKeyAuth"] = os.getenv("DD_TEST_CLIENT_API_KEY", "fake") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def check_api_key(x_api_key: str = Security(api_key_header_auth)):\n\n if x_api_key != API_KEY:\n raise HTTPException(\n status_code=status.HTTP_401_UNAUTHORIZED,\n detail=\"Invalid API Key\",\n )",
"def API_KEY(self):\n return 1",
"def API_KEY(self):\n rais... | [
"0.77320856",
"0.7329465",
"0.73283625",
"0.7297513",
"0.72794944",
"0.72751987",
"0.72751987",
"0.72604114",
"0.72593576",
"0.7259319",
"0.7256968",
"0.7256968",
"0.7256968",
"0.7256968",
"0.7219383",
"0.71990776",
"0.71948904",
"0.71811813",
"0.71619415",
"0.71541786",
"0.7... | 0.7471092 | 1 |
Sets up the window and widgets | def __init__(self):
Frame.__init__(self)
self.master.title("GUIs drawing geometric shapes")
self.grid()
#create a canvas and place in this frame
self.canvas = Canvas(self, width = 300, height = 400)
self.canvas.grid(row = 0, column = 0)
self.canvas.crea... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setup(self):\n self.ui.setup_window()",
"def initializeUI(self):\n self.setGeometry(100, 100, 300, 200)\n self.setWindowTitle('Event Handling Example')\n\n self.show()",
"def setupWindow(self):\n\n\t\tself.main_menu_window = MenuFrame.MainMenuFrame(self.uiCoordinator)\n\t\tself.... | [
"0.7984563",
"0.78484935",
"0.7847476",
"0.77687436",
"0.7732784",
"0.7595309",
"0.7557653",
"0.7533957",
"0.75149214",
"0.74836224",
"0.7482231",
"0.74538517",
"0.7432631",
"0.7411249",
"0.7396162",
"0.73926765",
"0.73749506",
"0.7368309",
"0.7357083",
"0.72914",
"0.7177986"... | 0.0 | -1 |
Sets the name of this WrappedChannel. | def name(self, name):
if name is None:
raise ValueError("Invalid value for `name`, must not be `None`") # noqa: E501
self._name = name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_name(self, name):\n self._name = name",
"def set_name(self, name: str):\n self._name = name",
"def set_name(self, name):\n self.__name = name",
"def set_name(self, name):\n self.__name = name",
"def set_name(self, name):\r\n self.__name = name",
"def set_name(se... | [
"0.7494786",
"0.7471239",
"0.74514264",
"0.74514264",
"0.7433107",
"0.7410956",
"0.7410835",
"0.7410835",
"0.7410835",
"0.7410835",
"0.7410835",
"0.73097545",
"0.7303638",
"0.72507864",
"0.72257775",
"0.72257775",
"0.72257775",
"0.72257775",
"0.72002596",
"0.7189781",
"0.7165... | 0.0 | -1 |
Sets the id of this WrappedChannel. | def id(self, id):
if id is None:
raise ValueError("Invalid value for `id`, must not be `None`") # noqa: E501
self._id = id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_id(self, id):\n self.__id = id",
"def setID(self, id):\n self._id = id\n return self.callRemote('setID', id)",
"def set_id(self, id_):\n\n self.id_ = id_",
"def channel_id(self, channel_id):\n \n self._channel_id = channel_id",
"def set_id(self, id):\n ... | [
"0.74098694",
"0.7301882",
"0.7287525",
"0.7189487",
"0.7168606",
"0.7142267",
"0.7142267",
"0.7142267",
"0.7142267",
"0.7142267",
"0.7077602",
"0.7040367",
"0.7040367",
"0.7040367",
"0.7040367",
"0.7040367",
"0.7040367",
"0.7040367",
"0.7040367",
"0.7040367",
"0.7040367",
... | 0.0 | -1 |
Sets the created_at of this WrappedChannel. | def created_at(self, created_at):
if created_at is None:
raise ValueError("Invalid value for `created_at`, must not be `None`") # noqa: E501
self._created_at = created_at | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def created_at(self, created_at):\n\n self._created_at = created_at",
"def created_at(self, created_at):\n\n self._created_at = created_at",
"def created_at(self, created_at):\n\n self._created_at = created_at",
"def created_at(self, created_at):\n\n self._created_at = created_at"... | [
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.768672",
"0.7664982",
"0.7358558",
"0.7358558",
"0.7358558",
"0.72273546",
"0... | 0.7165128 | 23 |
Sets the package_id of this WrappedChannel. | def package_id(self, package_id):
if package_id is None:
raise ValueError("Invalid value for `package_id`, must not be `None`") # noqa: E501
self._package_id = package_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def package_id(self, package_id):\n\n self._package_id = package_id",
"def channel_id(self, channel_id):\n \n self._channel_id = channel_id",
"def package(self, package):\n\n self._package = package",
"def set_package(self, pkg): \n self.pkg = pkg",
"def group_id(s... | [
"0.83073866",
"0.67015165",
"0.6464246",
"0.61539716",
"0.61365527",
"0.61365527",
"0.61365527",
"0.61365527",
"0.61365527",
"0.61365527",
"0.58245933",
"0.5779983",
"0.56672245",
"0.56574917",
"0.5638053",
"0.55306524",
"0.5522576",
"0.5514647",
"0.5504797",
"0.5493545",
"0.... | 0.72573835 | 1 |
Sets the start of this WrappedChannel. | def start(self, start):
if start is None:
raise ValueError("Invalid value for `start`, must not be `None`") # noqa: E501
self._start = start | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def start(self, start):\n\n self._start = start",
"def start(self, start):\n\n self._start = start",
"def start(self, start):\n\n self._start = start",
"def start(self, start):\n\n self._start = start",
"def set_start(self, start_line):\n self.__start_line = start_line",
... | [
"0.7564249",
"0.7564249",
"0.7564249",
"0.7564249",
"0.7237652",
"0.70537776",
"0.67805624",
"0.65911055",
"0.649068",
"0.63010246",
"0.6282839",
"0.6269031",
"0.6192287",
"0.6165483",
"0.6107638",
"0.6087088",
"0.6083288",
"0.6034127",
"0.60201997",
"0.6020192",
"0.59895307"... | 0.64424855 | 9 |
Sets the group of this WrappedChannel. | def group(self, group):
self._group = group | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_group(self, group):\n self._group = group",
"def set_group(self, group: str) -> None:\n self.group = group",
"def group(self, group):\n self._group = group",
"def setGroup(self, group):\n\t\tself.config.GROUP = group",
"def set_group(self, group):\n # Implemented from te... | [
"0.8350777",
"0.8117652",
"0.80235726",
"0.77244765",
"0.748948",
"0.74617624",
"0.7366963",
"0.72867996",
"0.7190034",
"0.6983952",
"0.69735223",
"0.6876415",
"0.68388975",
"0.68388975",
"0.68388975",
"0.68388975",
"0.68388975",
"0.68388975",
"0.6808673",
"0.65321106",
"0.64... | 0.7982403 | 5 |
Returns true if both objects are equal | def __eq__(self, other):
if not isinstance(other, WrappedChannel):
return False
return self.__dict__ == other.__dict__ | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __eq__(self, other):\n return are_equal(self, other)",
"def __eq__(self, other):\n return are_equal(self, other)",
"def __eq__(self,other):\n try: return self.object==other.object and isinstance(self,type(other))\n except: return False",
"def __eq__(self, other):\n if i... | [
"0.8088132",
"0.8088132",
"0.8054589",
"0.7982687",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
"0.79670393",
... | 0.0 | -1 |
Returns true if both objects are not equal | def __ne__(self, other):
return not self == other | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __ne__(self, other: object) -> bool:\n if self.__eq__(other):\n return False\n return True",
"def __ne__(self, other: object) -> bool:\n return not self.__eq__(other)",
"def __ne__(self, other) -> bool:\n return not self.__eq__(other)",
"def __eq__(self, other):\n ... | [
"0.845611",
"0.8391477",
"0.8144138",
"0.81410587",
"0.8132492",
"0.8093973",
"0.80920255",
"0.80920255",
"0.80920255",
"0.8085325",
"0.8085325",
"0.8076365",
"0.8076365",
"0.8065748"
] | 0.0 | -1 |
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