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 |
|---|---|---|---|---|---|---|
Set lifeline's lifetime length. | def _set_length(self, length):
self.bottom.pos.y = self.top.pos.y + length | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def change_tail_length(self, value):\n self.layer.tail_length = value",
"def setLength(self, new_length):\n\n self.length = new_length",
"def set_lifetime(self, lifetime):\n self.__lifetime = lifetime",
"def length(self, length):\n\n self._length = length",
"def set_last_segment... | [
"0.6628996",
"0.6548008",
"0.6527316",
"0.6292543",
"0.61618847",
"0.60966504",
"0.605155",
"0.59509474",
"0.59412754",
"0.59316313",
"0.59247273",
"0.5702406",
"0.56750685",
"0.5643853",
"0.5622231",
"0.55569696",
"0.55228",
"0.5480967",
"0.54594636",
"0.5426649",
"0.5416591... | 0.5764367 | 11 |
Find distance to lifeline item. We calculate the distance to the lifeline's head, and then we calculate the lifetime. We return the minimum. | def point(self, x, y):
d1 = super().point(x, y)
top = self._lifetime.top
bottom = self._lifetime.bottom
d2 = distance_line_point(top.pos, bottom.pos, (x, y))[0]
return min(d1, d2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _calc_min_distance(self, walker):\n\n cell_lengths, cell_angles = box_vectors_to_lengths_angles(walker.state['box_vectors'])\n\n t2 = time.time()\n # make a traj out of it so we can calculate distances through\n # the periodic boundary conditions\n walker_traj = mdj.Trajector... | [
"0.64288473",
"0.6343981",
"0.629061",
"0.6034535",
"0.602224",
"0.6003383",
"0.5981095",
"0.593175",
"0.5914017",
"0.5857995",
"0.5832663",
"0.5826591",
"0.5805714",
"0.5800851",
"0.57828003",
"0.5737947",
"0.5734673",
"0.56870914",
"0.56647193",
"0.56186366",
"0.55836093",
... | 0.5248442 | 77 |
Load JSON as a protobuf (pb2) object. Any calls to load protobuf objects from JSON in this repository should be through this function. Returns `None` if the loading failed. | def open_pbobject(path, pb_class):
assert path.endswith(".json"), 'File extension for {} needs to be json.'.format(path)
if path.startswith('s3://'):
return open_remote_pb_object(path, pb_class)
assert os.path.exists(path), f'Path not found: {path}'
with open(path, 'r', encoding='UTF-8') as json... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load(self):\n with io.open(self.filename, encoding='utf-8') as f:\n self.load_from_dict(json.loads(f.read()))",
"def load_json(json_str):\n return _api_internal._load_json(json_str)",
"def _localloadjson(path: str) -> JSONType:\n with open(path, encoding=\"utf-8\") as fh:\n r... | [
"0.57719094",
"0.57548875",
"0.5741168",
"0.568899",
"0.5675841",
"0.55961937",
"0.5520938",
"0.55098826",
"0.55086243",
"0.5459598",
"0.54020417",
"0.5388325",
"0.5387577",
"0.5386068",
"0.5349237",
"0.533662",
"0.53339887",
"0.53334725",
"0.5324513",
"0.5323394",
"0.5311550... | 0.5887734 | 0 |
Save protobuf (pb2) object to JSON file with our standard indent, key ordering, and other settings. Any calls to save protobuf objects to JSON in this repository should be through this function. | def save_pbobject_as_json(pb_object, save_path):
if os.path.isdir(save_path):
save_path = os.path.join(save_path, generate_uid_from_pbobject(pb_object) + ".json")
assert save_path.endswith(".json"), 'File extension for {} needs to be json.'.format(save_path)
with open(save_path, "w", encoding='UTF-... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _save(self):\n with open(self.file_path, 'w') as fid:\n json.dump(self.data, fid, indent=4, sort_keys=True)",
"def save(self):\n with open(self.file_path, 'w', encoding=Config.ENCODING) as file:\n json.dump(self.data, file, indent=2, ensure_ascii=False)",
"def save(self)... | [
"0.64825857",
"0.63305324",
"0.62367463",
"0.61235774",
"0.61045235",
"0.6103396",
"0.60486585",
"0.59887636",
"0.5981807",
"0.5977813",
"0.59710145",
"0.5964725",
"0.5957643",
"0.5951203",
"0.5950735",
"0.59460485",
"0.59422106",
"0.5939334",
"0.592283",
"0.59114516",
"0.591... | 0.72667795 | 0 |
Dock for RhoChi object. | def action_rhochi(obj: RhoChi, thread: QtCore.QThread):
w_actions = []
crystals = obj.crystals()
experiments = obj.experiments()
flag_crystals = len(crystals) != 0
flag_experiments = len(experiments) != 0
flag_diffrn = any([isinstance(exp, Diffrn) for exp in experiments])
# for experiment ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def createDockArea(self):\n self.centralDock = CentralDockArea(self.globalSession)\n self.setCentralWidget(self.centralDock)",
"def init_layout(self):\n super(WxDockPane, self).init_layout()\n self.widget.SetDockWidget(self.dock_widget())",
"def create(self, verbose=False):\r\n ... | [
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"0.5486771",
"0.54789144",
"0.54647344",
"0.5457878",
"0.5430313",
"0.542813... | 0.0 | -1 |
Returns the total amount of the order without discounts. | def get_total_amount(self):
total_price = 0.00
for k, v in self.order.product_orders.items():
total_price += v.quantity * v.product.price
return total_price | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def basket_total_before_discounts_excl_tax(self):\n result = self.lines.aggregate(total=Sum(\"line_price_before_discounts_excl_tax\"))\n return result[\"total\"]",
"def total_amount(self):\n full_price = sum(item.price for item in self._products) if self._products else 0.0\n return fu... | [
"0.7163056",
"0.69267505",
"0.69222707",
"0.6920065",
"0.66498226",
"0.6615668",
"0.660972",
"0.65836567",
"0.6532857",
"0.6476015",
"0.6449595",
"0.6415554",
"0.6324086",
"0.63018864",
"0.62091404",
"0.61972386",
"0.61502963",
"0.61472183",
"0.6100125",
"0.60200626",
"0.6015... | 0.64590997 | 10 |
Gets the id of this MessagingCampaign. The globally unique identifier for the object. | def id(self):
return self._id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_id(self):\n return self._id",
"def get_id(self):\n return self._id",
"def get_id(self):\n return self._id",
"def get_id(self):\n return self._id",
"def get_id(self):\n return self._id",
"def get_id(self):\n return self._id",
"def get_id(self):\n ... | [
"0.77193385",
"0.77193385",
"0.77193385",
"0.77193385",
"0.77193385",
"0.77193385",
"0.765815",
"0.765815",
"0.7566762",
"0.7515753",
"0.75107026",
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"0.75107026",
"0.75107026",
"0.75107026",
"0.75107026",
"0.75107026",
"0.75107026",
"0... | 0.0 | -1 |
Sets the id of this MessagingCampaign. The globally unique identifier for the object. | def id(self, id):
self._id = id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_id(self, id):\n self.__id = id",
"def set_id(self, id_):\n\n self.id_ = id_",
"def set_id(self, id_=None):\n if id_ is None:\n self.id = id(self)\n else:\n self.id = id_",
"def set_id(self, id):\n self.data['id'] = id",
"def setID(self, id):\... | [
"0.7718702",
"0.7609532",
"0.757609",
"0.74520427",
"0.7333251",
"0.73325944",
"0.72652215",
"0.7247922",
"0.720335",
"0.7196361",
"0.7196361",
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"0.71394897",
"0.71394897",
"0.71394897",
"0.71394897",
"0.71394897",
"0.7139... | 0.72002715 | 13 |
Gets the name of this MessagingCampaign. | def name(self):
return self._name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def campaign_name(self):\n\n return self._campaign_name",
"def campaign_name(self):\n\n return self._campaign_name",
"def campaign_name(self):\n\n return self._campaign_name",
"def get_name(self) -> str:\n\n return self.name_",
"def get_name(self) -> str:\n return self._n... | [
"0.83846724",
"0.83846724",
"0.83846724",
"0.7315201",
"0.7272899",
"0.7272899",
"0.72664964",
"0.717051",
"0.717051",
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"0.717051",
"0.717051",
"0.7166163",
"0.7131615",
"0.7131615",
"0.711222",
"0.71059... | 0.0 | -1 |
Sets the name of this MessagingCampaign. | def name(self, name):
self._name = name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def SetName(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):\n self.name = name",
"def set_name(self, name)... | [
"0.735443",
"0.7340858",
"0.7322299",
"0.7251668",
"0.7251668",
"0.7251668",
"0.7251668",
"0.7251668",
"0.72128856",
"0.7197441",
"0.7195748",
"0.7195748",
"0.7178476",
"0.70947015",
"0.7060306",
"0.6969277",
"0.6966887",
"0.6966887",
"0.69516367",
"0.6950923",
"0.6910362",
... | 0.66005486 | 90 |
Gets the date_created of this MessagingCampaign. | def date_created(self):
return self._date_created | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def date_created(self) -> datetime:\n return self._date_created",
"def created_date(self):\n return self._created_date",
"def created_date(self):\n return self._created_date",
"def GetDateCreated(self):\n return str(self.datecreated)",
"def date_created(self) -> str:\n re... | [
"0.797184",
"0.78968954",
"0.78968954",
"0.75586146",
"0.7542879",
"0.7494075",
"0.73534364",
"0.73534364",
"0.73233813",
"0.7312706",
"0.7265856",
"0.7256938",
"0.7255421",
"0.7170623",
"0.7149717",
"0.7149717",
"0.7149717",
"0.71311",
"0.7127949",
"0.7127949",
"0.7127949",
... | 0.7941877 | 3 |
Gets the version of this MessagingCampaign. Required for updates, must match the version number of the most recent update | def version(self):
return self._version | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_version(self):\n return self.bot_data_file[\"version\"]",
"def get_version(self):\n return self.__make_api_call('get/version')",
"def get_version(self):\n return self._version",
"def get_version(self):\n return self._version",
"def version(self):\n self._get_lates... | [
"0.74936455",
"0.7484783",
"0.7445432",
"0.7445432",
"0.74160135",
"0.7414787",
"0.72851366",
"0.7277261",
"0.72265685",
"0.7201598",
"0.71837974",
"0.7182243",
"0.7182243",
"0.71736085",
"0.7157434",
"0.7147735",
"0.7075582",
"0.7058257",
"0.70546836",
"0.7049833",
"0.703816... | 0.6938133 | 37 |
Gets the division of this MessagingCampaign. The division this entity belongs to. | def division(self):
return self._division | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def subdivision(self) -> Optional[str]:\n return pulumi.get(self, \"subdivision\")",
"def subdivision(self) -> Optional[str]:\n return pulumi.get(self, \"subdivision\")",
"def get_group(self):\n return self._group",
"def getGroup(self):\n\t\treturn self.Group",
"def get_domain(self):\n... | [
"0.5810358",
"0.5810358",
"0.51984763",
"0.5110629",
"0.50223154",
"0.5020974",
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"0.488874",
"0.488874",
"0.488874",
"0.4876585",
"0.4860735",
"0.48574632",
"0.4844820... | 0.6648795 | 0 |
Sets the division of this MessagingCampaign. The division this entity belongs to. | def division(self, division):
self._division = division | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def division(self, division):\n\n self._division = division",
"def set_divide(self, a_divide):\n self.set_parameter('divide', a_divide)\n return self",
"def SetBoundaryCriterion(self, *args):\n return _ShapeUpgrade.ShapeUpgrade_ShapeDivideContinuity_SetBoundaryCriterion(self, *args)... | [
"0.6715935",
"0.48573586",
"0.48263213",
"0.45991567",
"0.45864677",
"0.458617",
"0.45811203",
"0.44704387",
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"0.43234468",
"0.43153226",
"0.4298492",
"0.4283395",
"0.42175615",
"0.41... | 0.66989917 | 1 |
Gets the campaign_status of this MessagingCampaign. The current status of the messaging campaign. A messaging campaign may be turned 'on' or 'off'. | def campaign_status(self):
return self._campaign_status | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_status(self):\n # TODO retrieve from db if not set\n return self.status",
"def get_status(self):\n return self._status",
"def get_status(self):\n statuses = dict(ACTIVITY_STATUS_CHOICES)\n return statuses.get(self.status, \"N/A\")",
"def campaign_status(self, campai... | [
"0.6404847",
"0.6360354",
"0.62657183",
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"0.5983734",
"0.59719783",
"0.5946572",
"0.5946572",
"0.5946572... | 0.8441347 | 0 |
Sets the campaign_status of this MessagingCampaign. The current status of the messaging campaign. A messaging campaign may be turned 'on' or 'off'. | def campaign_status(self, campaign_status):
allowed_values = ["on", "stopping", "off", "complete", "invalid"]
if campaign_status.lower() not in map(str.lower, allowed_values):
# print("Invalid value for campaign_status -> " + campaign_status)
self._campaign_status = "outdated_sdk... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def campaign_status(self):\n return self._campaign_status",
"def set_activity(self, status):\n self._activity = status",
"def set_status(self, status):\n self.status = status",
"def set_status(self, status):\n self.status = status",
"def set_status(self, status):\n self.s... | [
"0.6368695",
"0.61262167",
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"0.55989665",
"0.5592994",
"0.5582759",
"0.5582326",
"0.55720466",
"0.55364394... | 0.7548788 | 0 |
Gets the dnc_lists of this MessagingCampaign. The dnc lists to check before sending a message for this messaging campaign. | def dnc_lists(self):
return self._dnc_lists | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_dmarc_messages(self):\n messages = []\n try:\n if self.opt_use_ssl:\n self.server = poplib.POP3_SSL(self.opt_pop3_server)\n self.server.user(self.opt_global_account[\"username\"])\n self.server.pass_(self.opt_global_account[\"password\"]... | [
"0.5988404",
"0.58297056",
"0.56870914",
"0.55929554",
"0.5453402",
"0.5412666",
"0.5395899",
"0.5304845",
"0.5249858",
"0.5206307",
"0.5206069",
"0.5170666",
"0.5170228",
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"0.5143177",
"0.51181716",
"0.5111123",
"0.50970674",
"0.50523174",
"0.504655",
"0.5045429... | 0.70566237 | 0 |
Gets the always_running of this MessagingCampaign. Whether this messaging campaign is always running | def always_running(self):
return self._always_running | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def IsRunning(self):\n return self.running",
"def running(self):\n return self.scheduler.running",
"def is_running(self):\n return self._running",
"def is_running(self):\n return self._running",
"def is_running(self):\n return self._running.is_set()",
"def running(self)... | [
"0.684747",
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"0.65689",
"0.65341485",
"0.6479026",
"0.6433435",
"0.6432685",
"0.... | 0.8078336 | 0 |
Gets the contact_sorts of this MessagingCampaign. The order in which to sort contacts for dialing, based on up to four columns. | def contact_sorts(self):
return self._contact_sorts | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getSorted(self):\n return sorted(self.contacts)",
"def contact_sorts(self, contact_sorts):\n \n self._contact_sorts = contact_sorts",
"def get_sort_columns(self):\n col_sort_orders = self.gridpreference_sort.all().values_list('column__id', flat=True)\n return GridColumn.o... | [
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"0.5591094",
"0.55369407",
"0.52994704",
"0.52872974",
"0.52799004",
"0.5243885",
"0.5241674",
"0.5228304",
"0.5202736",
"0.51900417",
"0.51636... | 0.8388801 | 0 |
Sets the contact_sorts of this MessagingCampaign. The order in which to sort contacts for dialing, based on up to four columns. | def contact_sorts(self, contact_sorts):
self._contact_sorts = contact_sorts | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def contact_sorts(self):\n return self._contact_sorts",
"def set_sorts(self, sorts: List[DataGridSort]):\n self.sorts = sorts",
"def set_contacts(self, contacts):\n\n\t\tif contacts is not None and not isinstance(contacts, list):\n\t\t\traise SDKException(Constants.DATA_TYPE_ERROR, 'KEY: contacts... | [
"0.68852335",
"0.62442034",
"0.55268556",
"0.55110604",
"0.5504529",
"0.5504529",
"0.5466908",
"0.5404668",
"0.53766954",
"0.5268589",
"0.5230543",
"0.51540035",
"0.5129339",
"0.51096964",
"0.5105754",
"0.5105754",
"0.50918037",
"0.5086296",
"0.5057816",
"0.50474155",
"0.5042... | 0.8539102 | 0 |
Gets the messages_per_minute of this MessagingCampaign. How many messages this messaging campaign will send per minute. | def messages_per_minute(self):
return self._messages_per_minute | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def messages_per_minute(self, messages_per_minute):\n \n self._messages_per_minute = messages_per_minute",
"def get_words_per_minute(self):\n return self.words_per_minute",
"def query_plans_per_minute(self) -> int:\n return pulumi.get(self, \"query_plans_per_minute\")",
"def getNu... | [
"0.686777",
"0.6715453",
"0.5897515",
"0.57897204",
"0.5508112",
"0.5492951",
"0.5468848",
"0.5431342",
"0.5427984",
"0.54239345",
"0.5376645",
"0.5357198",
"0.52036357",
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"0.5188115",
"0.51773685",
"0.51770973",
"0.51570386",
"0.51300323",
"0.512672",
"0.51112086... | 0.8563438 | 0 |
Gets the sms_config of this MessagingCampaign. Configuration for this messaging campaign to send SMS messages. | def sms_config(self):
return self._sms_config | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def sms_config(self, sms_config):\n \n self._sms_config = sms_config",
"def config(self):\n if self.__config is None:\n self.__config = self._get_config(self.bot)\n return self.__config",
"def sms(self):\r\n return sms.SMS(self)",
"def get_configuration(self) -> ... | [
"0.66070634",
"0.592993",
"0.56343",
"0.54566157",
"0.5446236",
"0.5412347",
"0.53807044",
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"0.52135134",
"0.5207754",
"0.5194879",
"0.5194879",
"0.5194879",
"0.51929... | 0.8423905 | 0 |
Gets the self_uri of this MessagingCampaign. The URI for this object | def self_uri(self):
return self._self_uri | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_uri(self):\n return self.__uri",
"def get_uri(self):\n return self.url",
"def uri(self) -> str:\n return self._uri",
"def getURI(self):\n return _libsbml.SBase_getURI(self)",
"def getURI(self):\n return _libsbml.SBasePlugin_getURI(self)",
"def uri(self):\n ... | [
"0.72447217",
"0.72073245",
"0.7078981",
"0.7075188",
"0.6987316",
"0.6909857",
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"0.68092525",
"0.68092525",
"0.68092525",
"0.68092525",
"0.68092525",
"0.680... | 0.8186954 | 3 |
Sets the self_uri of this MessagingCampaign. The URI for this object | def self_uri(self, self_uri):
self._self_uri = self_uri | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def self_uri(self):\n return self._self_uri",
"def self_uri(self):\n return self._self_uri",
"def self_uri(self):\n return self._self_uri",
"def self_uri(self):\n return self._self_uri",
"def uri(self) -> str:\n return self._uri",
"def get_uri(self):\n return sel... | [
"0.7107602",
"0.7107602",
"0.7107602",
"0.7107602",
"0.591665",
"0.58686566",
"0.5748005",
"0.574481",
"0.57201016",
"0.57201016",
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"0.57201016",
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"0.57201016",
"0.57201016",
"0.57201016",
"0.5711726",
"0.5708703",
"0.5708703",
"0.57087... | 0.8014554 | 3 |
Returns true if both objects are equal | def __eq__(self, other):
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",
"0.7961088",
"0.7961088",
"0.79433626",
"0.79303336",
"0.7926563",
"0.7897525",
"0.78826123",
"0.78826123",
"0.78806067",
"0.7872423",
"0.7868354",
"0.78668815",
"0.7825702",
"0.7819993",
"0.78162885",
"0.78078854",
"0.78068... | 0.79670393 | 41 |
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 |
Sets the learning rate to the initial LR decayed by 0.5 every 5 epochs | def adjust_learning_rate(optimizer, epoch):
lr = args.lr * (0.4 ** (epoch // 4))
for param_group in optimizer.param_groups:
param_group['lr'] = lr | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def adjust_learning_rate(init_lr, optimizer, epoch, n=100):\n init_lr = init_lr * (0.1 ** (epoch // n))\n print('learning rate : ', init_lr)\n for param_group in optimizer.param_groups:\n param_group['lr'] = init_lr",
"def adjust_learning_rate(optimizer, epoch):\n lr = opt.lr * (0.5 ** (epoch ... | [
"0.75293964",
"0.75141555",
"0.75137126",
"0.74792343",
"0.7465126",
"0.7460736",
"0.7442363",
"0.73354864",
"0.73117834",
"0.72968334",
"0.72968334",
"0.72960633",
"0.7283488",
"0.7278503",
"0.72781247",
"0.72749794",
"0.72587585",
"0.723886",
"0.72382396",
"0.7237294",
"0.7... | 0.7062625 | 74 |
Return a dataframe of distance matrix of x and y. Indexes are letters of x and columns are letters of y. | def distance_dataframe(self, x, y, keyboard_weight=None):
dist_matrix = self.distance_matrix(x, y, keyboard_weight)
dist_df = pd.DataFrame(dist_matrix, index=["", *list(x)],
columns=["", *list(y)])
return dist_df | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def calc_dist_matrix(self):\n\n self.dist_matrix = spatial.distance.squareform(spatial.distance.pdist(self.data_vector,metric=\"hamming\"))\n\n self.dist_frame = pd.DataFrame(self.dist_matrix,\n index = self.seq_strings,\n co... | [
"0.69271284",
"0.67564255",
"0.6533258",
"0.6516786",
"0.6428106",
"0.63869244",
"0.6351963",
"0.6319464",
"0.63100487",
"0.62420344",
"0.62378067",
"0.62373847",
"0.62171084",
"0.62104243",
"0.62080455",
"0.6201593",
"0.61032706",
"0.6101561",
"0.60353494",
"0.6023481",
"0.5... | 0.8356927 | 0 |
get only classes defined in this schema | def get_class_defs(self):
return list(self._get_class_defs().values()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def list_all_classes(self):\n classes = list(self.extended_class_only_graph.nodes())\n classes = [SchemaClass(_cls, self) for _cls in classes]\n return classes",
"def get_classes(self):\n return",
"def return_classes(self):\n\n\t\t \n\t\t \n\t\treturn self.classes",
"def get_c... | [
"0.78731024",
"0.71519256",
"0.7128944",
"0.7102175",
"0.7069883",
"0.6910617",
"0.67119366",
"0.66961735",
"0.6668723",
"0.6640557",
"0.66171163",
"0.6541783",
"0.6539696",
"0.65327054",
"0.65109813",
"0.64602256",
"0.6432275",
"0.64070165",
"0.63955426",
"0.6380493",
"0.637... | 0.65426725 | 11 |
return the probability of a given reaction | def get_probability(self, reaction):
return self.__getitem__(reaction) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def probability(self, item):\n count = self.counter.get(item, 0)\n if self.smoothing_dict:\n smooth_count = self.smoothing_dict.get(count, count)\n assert smooth_count > 0\n return smooth_count / self.smooth_total\n else:\n return count / self.total"... | [
"0.6590192",
"0.6571907",
"0.647744",
"0.64491594",
"0.6418756",
"0.63888365",
"0.63714635",
"0.6371433",
"0.6367964",
"0.63313365",
"0.6296423",
"0.62912256",
"0.62699294",
"0.62629133",
"0.62573755",
"0.6252374",
"0.62146765",
"0.6207749",
"0.62025577",
"0.6187049",
"0.6182... | 0.8662731 | 0 |
Deserialize a ReactionProbabilities from a JSON file | def from_json_file(path):
with open(path, 'r') as f:
return ReactionProbabilities.from_json(f.read()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_priors(file_name):\n with open(file_name, \"r\") as fp:\n priors = json.load(fp)\n return priors",
"def read_classification_json(fn):\n with open(fn) as f:\n classification_data = json.load(f)\n f.close()\n \n return classification_data",
"def load_priors(self, ... | [
"0.6095132",
"0.60795057",
"0.5984798",
"0.59495234",
"0.57160014",
"0.56639713",
"0.5619954",
"0.5497838",
"0.5492578",
"0.53609985",
"0.5356933",
"0.53483236",
"0.5318638",
"0.53132015",
"0.52867985",
"0.52783847",
"0.5249616",
"0.52431166",
"0.5227828",
"0.5201468",
"0.519... | 0.85232556 | 0 |
Gets an object representation in a string format. | def __repr__(self):
return "IAMLTools.BlobProperties object." | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_str(self, obj):\n if self.pretty:\n return pprint.pformat(obj)\n else:\n return str(obj)",
"def objectToString(obj):\n if (hasattr(obj, \"__iter__\")):\n # matrix or vector\n if len(obj) == 0:\n return \"\"\n else:\n if (ha... | [
"0.79434896",
"0.76730764",
"0.74159396",
"0.7268582",
"0.7246455",
"0.7231229",
"0.7168203",
"0.710605",
"0.7084541",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.70546156",
"0.... | 0.0 | -1 |
slick solution in python ONLY zeros = [0 for i in range(zeros_and_ones.count(0))] ones = [1 for j in range(zeros_and_ones.count(1))] return zeros + ones | def zeros_before_ones(zeros_and_ones):
index_i = 0
last_index = len(zeros_and_ones) - 1
while index_i < last_index:
if zeros_and_ones[index_i] == 1 and zeros_and_ones[last_index] == 0:
zeros_and_ones[index_i], zeros_and_ones[last_index] = zeros_and_ones[last_index], zeros_and_ones[index... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def solution2(n):\n ones = 0\n while n > 0:\n if n & 1:\n ones += 1\n n = n >> 1\n\n return 0 if ones % 2 == 0 else 1",
"def c(ixs):\n return sum(range(1, sum((i > 0 for i in ixs)) + 1))",
"def _iter_restrict(self, zeros, ones):\n inputs = list(self.inputs)\n ... | [
"0.6483679",
"0.624784",
"0.61705774",
"0.610907",
"0.6090902",
"0.6031265",
"0.59823155",
"0.59540856",
"0.59308344",
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"0.5842495",
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"0.578468",
"0.57763344",
"0.5771295",
"0.57675946",
"0.5759372",
"0.5745411",
"0.5724746",... | 0.6798596 | 0 |
Get a random element from the set. | def getRandom(self):
# pick a random number from the list
return random.choice(self.nums) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getRandom(self):\n return self.nums[random.randint(0, len(self.nums) - 1)]\n\n # Your RandomizedSet object will be instantiated and called as such:\n # obj = RandomizedSet()\n # param_1 = obj.insert(val)\n # param_2 = obj.remove(val)\n # param_3 = obj.getRandom()",
"... | [
"0.77060276",
"0.738916",
"0.7296881",
"0.72187954",
"0.6871744",
"0.68453854",
"0.68330806",
"0.67740154",
"0.67226046",
"0.6703282",
"0.6665089",
"0.66356236",
"0.66217655",
"0.6612035",
"0.66000897",
"0.6567767",
"0.6477719",
"0.6462421",
"0.64428514",
"0.64162946",
"0.640... | 0.6388269 | 23 |
Returns an enumeration member with a value matching `value`. | def get_member(
cls,
value: str,
):
if not value:
return None
members = [
(member, member.value)
for member in cls.__members__.values()
]
for member, member_value in members:
if member_value == value:
r... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def Enum(enum, value, default=None):\n if value is None:\n return default\n\n for pair in enum:\n if pair.value == value:\n return pair\n\n raise KeyError(\"Value '{}' not contained in enum type\".format(value))",
"def from_value(cls, value: str):\n return cls._value2memb... | [
"0.67772806",
"0.66527843",
"0.64541763",
"0.6362393",
"0.611267",
"0.6082106",
"0.5995382",
"0.59891886",
"0.5980627",
"0.5902926",
"0.5802926",
"0.57012653",
"0.560989",
"0.5605811",
"0.5560168",
"0.55101895",
"0.55054975",
"0.5468104",
"0.5463636",
"0.5452052",
"0.5404608"... | 0.7054582 | 0 |
Get a keystone auth session. | def get_session(self):
if self.session is None:
# loader = loading.get_plugin_loader('password')
# auth = loader.load_from_options(**self.auth_kwargs)
auth = v3.Password(**self.auth_kwargs)
self.session = session.Session(auth=auth)
return self.session | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_session():\n assert config.AUTH_URL, \"Environment variable OS_AUTH_URL is not defined\"\n\n def _get_session(auth_url=None,\n username=None,\n password=None,\n project_name=None,\n user_domain_name=None,\n ... | [
"0.8036264",
"0.7163002",
"0.705678",
"0.7039849",
"0.69910294",
"0.69805986",
"0.6977348",
"0.69680965",
"0.68606806",
"0.6850855",
"0.68429095",
"0.6802599",
"0.6802599",
"0.6759136",
"0.6674402",
"0.6669936",
"0.6636045",
"0.6635824",
"0.6607306",
"0.6601134",
"0.65489656"... | 0.6903718 | 8 |
Get a keystone client instance. | def get_keystone(self, version='3'):
if self.keystone is None:
iface = os.getenv('OS_ENDPOINT_TYPE', "public")
self.keystone = keystoneclient.Client(
version=version,
session=self.get_session(),
interface=iface)
return self.keystone | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_keystoneclient(self):\n try:\n if self.token is None:\n client = keystoneclient.Client(user_name=self.cluster_account.cluster_user_name,\n password=self.cluster_account.cluster_password,\n ... | [
"0.81075597",
"0.8094052",
"0.7934589",
"0.76208735",
"0.76208735",
"0.74618495",
"0.7417962",
"0.7401862",
"0.73747593",
"0.729122",
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"0.7061689",
"0.70608056",
"0.704505",
"0.70287734",
"0.7017763",
"0.6964742",
"0.6892199",
"0.6867459"... | 0.7938663 | 2 |
Unload a config entry. | async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry):
unload_ok = all(
await asyncio.gather(
*[
hass.config_entries.async_forward_entry_unload(entry, component)
for component in PLATFORMS
]
)
)
if unload_ok:
has... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def async_unload_entry(hass, config_entry):\n unload_ok = await hass.config_entries.async_forward_entry_unload(\n config_entry, \"climate\"\n )\n return unload_ok",
"async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:\n hass.data.pop(DOMAIN)\n return True",
... | [
"0.697284",
"0.6888074",
"0.6779855",
"0.6747459",
"0.6689002",
"0.6657831",
"0.66162205",
"0.6603433",
"0.65925974",
"0.65595686",
"0.65411645",
"0.6507643",
"0.6507643",
"0.6507643",
"0.6507643",
"0.64977276",
"0.64931643",
"0.6486601",
"0.6486601",
"0.6486601",
"0.6486601"... | 0.6459733 | 29 |
Calculate by how many cells the moving window should be moved. If this is nonzero, shift the fields on the interpolation grid, and add new particles. | def move_grids(self, fld, comm, time):
# To avoid discrepancies between processors, only the first proc
# decides whether to send the data, and broadcasts the information.
dz = comm.dz
if comm.rank==0:
# Move the continuous position of the moving window object
sel... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def swipeBase (self) :\n grid = self.grid\n\n #we start by putting every tile up\n for columnNbr in range(4) :\n nbrZeros = 4 - np.count_nonzero(grid[:,columnNbr])\n\n for lineNbr in range(4) :\n counter = 0\n while (grid[lineNbr, columnNbr] ... | [
"0.59834635",
"0.5809151",
"0.57765406",
"0.56846297",
"0.55949116",
"0.5528766",
"0.5480749",
"0.54742026",
"0.54698974",
"0.54524153",
"0.54521763",
"0.54496145",
"0.5448103",
"0.5435209",
"0.54142",
"0.5403219",
"0.53876007",
"0.5387515",
"0.5371499",
"0.5368437",
"0.53605... | 0.67525464 | 0 |
The x coordinate for top left corner of window | def x(self):
return self._x | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_x_position(self):\n return self.rect.x",
"def get_x(self):\n return self.posX",
"def get_pos_x(self):\n return self.__pos_x",
"def content_box_x(self):\n return self.position_x + self.margin_left + self.padding_left + \\\n self.border_left_width",
"def border_... | [
"0.7928865",
"0.7497541",
"0.74468994",
"0.7431216",
"0.7420587",
"0.7373978",
"0.73659885",
"0.7315604",
"0.73032784",
"0.7258727",
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"0.71952814",
"0.71450615",
"0.7142987",
"0.70740926",
"0.70560735",
"0.705076",
"0.7001769",
"0.7001769",
"0.696133... | 0.0 | -1 |
The y coordinate for top left corner of window | def y(self):
return self._y | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def y(self):\n return self.top",
"def get_y_position(self): \n return self.rect.y",
"def top_y(self):\r\n return self.position.y + self.size.y + self.bulk",
"def get_y(self):\n return self.posY",
"def _get_y(self):\n return self.position.y",
"def y(self):\r\n re... | [
"0.8223235",
"0.7753512",
"0.7607309",
"0.75265026",
"0.74642813",
"0.74340755",
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"0.7398167",
"0.7398167",
"0.73863155",
"0.7359533",
"0.73249245",
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"0.7265452",
"0.71478647",
"0.7138041",
"0.71298176",
"0.7127513",
"0.71184486",
"0.711... | 0.0 | -1 |
The list of all turtles attached to this Window This attribute may not be altered directly | def turtles(self):
return self._turtles[:] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def turtles(self):\n return self._turtles",
"def turbines(self):\n return self.turbine_map.turbines",
"def getturtle(self):\n return self",
"def thermostats(self):\n\n return self._thermostats",
"def lights(self):\n return list(self.GetLights())",
"def get_light_list(se... | [
"0.8411543",
"0.6130211",
"0.5962633",
"0.59047854",
"0.5882312",
"0.5679309",
"0.56639826",
"0.5651566",
"0.5635582",
"0.5587322",
"0.5562676",
"0.5513544",
"0.5510087",
"0.5497294",
"0.54633754",
"0.54598933",
"0.5458061",
"0.5453143",
"0.5407893",
"0.53814805",
"0.53572404... | 0.8240958 | 1 |
The color of this turtle. All subsequent draw commands (forward/back) draw using this color. If the color changes, it only affects future draw commands, not past ones. | def color(self):
return self._color | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def color(self):\n assert False, 'Pen does not have a color; use pencolor or fillcolor'",
"def get_color(self):\r\n return self.__color",
"def color(self):\n return self.__color",
"def get_color(self):\n return self.color",
"def get_color(self):\r\n if self.color:\r\n ... | [
"0.69709",
"0.6779695",
"0.6763572",
"0.672866",
"0.6717508",
"0.67131394",
"0.67123073",
"0.6694104",
"0.6650042",
"0.6650042",
"0.6635534",
"0.66264987",
"0.66009176",
"0.6586705",
"0.65372753",
"0.65127057",
"0.6490231",
"0.6490231",
"0.6490231",
"0.6489274",
"0.6463869",
... | 0.6654484 | 9 |
The xcoordinate of this turtle. To change the x coordinate, use one of the drawing methods. This attribute may not be (directly) altered | def x(self):
return self._turtle.xcor() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setX(self, x):\n self.position.setX(x)",
"def Getxcoord(self):\n return self.x_coord",
"def set_x(self, x):\n self.scene.set_x_loc(x)\n self.redraw()",
"def get_x(self):\n return self.posX",
"def x(self):\n return _libsbml.Point_x(self)",
"def set_x(self, x):... | [
"0.76434016",
"0.7627431",
"0.76259303",
"0.75785303",
"0.75745726",
"0.75719124",
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"0.7332591",
"0.73232895",
"0.72585595",
"0.71786386",
"0.71688503",
"0.7164... | 0.7628367 | 2 |
The ycoordinate of this turtle. To change the x coordinate, use one of the drawing methods. This attribute may not be (directly) altered | def y(self):
return self._turtle.ycor() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def y(self):\n return _libsbml.Point_y(self)",
"def getYCoordinate(self) -> float:\n return self.y_coord",
"def setY(self, y):\r\n\t\tself._y=y",
"def setY(self, y):\n self.y = y\n pass",
"def y_coord(self):\n\n return self.y0 + np.arange(self.ny) * self.dy",
"def getY(... | [
"0.77648014",
"0.7557941",
"0.75414705",
"0.7519196",
"0.7517687",
"0.75156283",
"0.74248564",
"0.7424172",
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"0.74136454",
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"0.7266436",
"0.7265773",
"0.72609174",
"0.7236153",
"0.7231107",
"0.7228... | 0.7376552 | 13 |
Deletes this turtle object. | def __del__(self):
self.clear()
self._screen._removeTurtle(self)
del self._turtle | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __del__(self):\n self._screen._removePen(self)\n del self._turtle",
"def delete(self):\n self.graph._del(handle=self.handle)",
"def remove(self):\n self.node.destroy()",
"def delete(self):\n\t\tself.canvas.delete('node_'+self.identifier)\n\t\tself.canvas.tag_unbind('node_'+sel... | [
"0.72901684",
"0.69489294",
"0.6906722",
"0.68213683",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.68130356",
"0.6793991",
"0.6787353",
... | 0.79840356 | 0 |
The pen color of this pen. The pen color is used for drawing lines and circles. All subsequent draw commands draw using this color. If the color changes, it only affects future draw commands, not past ones. This color is only used for lines and the border of circles. It is not the color used for filling in solid areas ... | def pencolor(self):
return self._pencolor | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def penColor( self ):\n return self._penColor",
"def color(self):\n assert False, 'Pen does not have a color; use pencolor or fillcolor'",
"def pencolor(self, *args):\n if args:\n color = self._colorstr(args)\n if color == self._pencolor:\n return\n ... | [
"0.81438965",
"0.7675859",
"0.7551927",
"0.6896309",
"0.67128396",
"0.6509215",
"0.64415",
"0.64415",
"0.64305776",
"0.6405034",
"0.6389262",
"0.6373281",
"0.6373281",
"0.6361102",
"0.6361102",
"0.6361102",
"0.6358667",
"0.63095975",
"0.62246627",
"0.62037814",
"0.6115269",
... | 0.7982437 | 1 |
Represents the pen origin in the draw window. This property is used by the Window to reset the pen. This is a "friend" property and the invariant is not enforced. | def origin(self):
return self._origin | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def GetConnectionPen(self):\r\n\r\n return self._dottedPen",
"def penColor( self ):\n return self._penColor",
"def pencolor(self):\n return self._pencolor",
"def _set_origin(self):\n self += helper.circle(cx=self.__dict__['x'], cy=self.__dict__['y'], r=2, fill=\"black\", strok... | [
"0.6315457",
"0.6157232",
"0.5957476",
"0.5798523",
"0.5758914",
"0.574672",
"0.5725725",
"0.57172686",
"0.5713631",
"0.5709259",
"0.5697349",
"0.56255484",
"0.56203943",
"0.5529922",
"0.5509871",
"0.5480417",
"0.5455918",
"0.5441902",
"0.5405522",
"0.5344211",
"0.52710193",
... | 0.545472 | 20 |
The xcoordinate of this pen. To change the x coordinate, use one of the drawing methods. This attribute may not be (directly) altered | def x(self):
return self._turtle.xcor() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_x(self, new_x):\r\n self.x = new_x",
"def x(self):\n return _libsbml.Point_x(self)",
"def get_x(self):\n return self.posX",
"def setX(self, *args):\n return _libsbml.Point_setX(self, *args)",
"def setX(self, x):\n self.position.setX(x)",
"def setX(self, x):\r\n\... | [
"0.76575345",
"0.75913805",
"0.7514827",
"0.7482172",
"0.7476596",
"0.74066937",
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"0.7383479",
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"0.7351436",
"0.73434395",
"0.7271025",
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"0.71784794",
"0.71032804",
"0.70959073",
"0.69787765",
"0.69621176",
"0.6... | 0.6752364 | 34 |
The ycoordinate of this pen. To change the y coordinate, use one of the drawing methods. This attribute may not be (directly) altered | def y(self):
return self._turtle.ycor() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def y(self):\n return _libsbml.Point_y(self)",
"def set_y(self, new_y):\r\n self.y = new_y",
"def setY(self, y):\n self.y = y\n pass",
"def setY(self, y):\r\n\t\tself._y=y",
"def getY(self):\n return self.__y",
"def setY(self, *args):\n return _libsbml.Point_setY... | [
"0.7824647",
"0.7789776",
"0.77398807",
"0.7738483",
"0.7698442",
"0.7642297",
"0.7619385",
"0.76075387",
"0.76014006",
"0.7586667",
"0.7569661",
"0.7569661",
"0.7532064",
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"0.74680847",
"0.7445015",
"0.7398983",
"0.73577964",
"0.7341188",
"0.72738236",
"0.7256707... | 0.68330735 | 78 |
Deletes this pen object. | def __del__(self):
self._screen._removePen(self)
del self._turtle | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def delete(self):\n # exit contains our clean up code\n self.exit()\n GenericAnimatedProp.GenericAnimatedProp.delete(self)",
"def delete(self):\n self.graph._del(handle=self.handle)",
"def delete(self):\n del self.shx.atoms[self.index]",
"def __del__(self):\n\n # Del... | [
"0.6839339",
"0.6739376",
"0.66108614",
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"0.63204235",
"0.63204235",
"0.63204235",
"0.63204235",
"0.63204235",
"0... | 0.71101624 | 0 |
Return true if if the line drawn through a, b, and c makes a right turn. | def rightTurnFiltered(a, b, c):
def isSmall(number):
"""Function to check if a number is very small."""
return abs(number) < epsilon
def floatVectortoFractionVector(vector):
return [Fraction.from_float(x) for x in vector]
def crossProduct(p1, p2, p3):
"""Compute the crossPr... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_ccw(point_a, point_b, point_c):\r\n return is_on_line(point_a, point_b, point_c) > 0",
"def is_right_angle(a, b, c):\n if a == 0 or b == 0 or c == 0:\n return False\n else :\n return (a == b + c) or (b == c + a) or (c == a + b)",
"def test_right_turn_true(self):\n point1 =... | [
"0.7412801",
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"0.6096383",
"0.6095791",
"0.6095791",
"0.6009904",
"0.5992941",
"0.59842193... | 0.0 | -1 |
Function to check if a number is very small. | def isSmall(number):
return abs(number) < epsilon | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_small(a:int, b:int) -> bool:\n return a <= b",
"def dangerouslySmall(c, e):\n return e < -limit and e < (-integerLog10(abs(c))) - 1",
"def is_large(a:int, b:int) -> bool:\n return a>=b",
"def has_small_digits(n,maxdigit):\n digits = [int(num) for num in str(n)]\n return all([num <= maxd... | [
"0.71358377",
"0.70233357",
"0.6894309",
"0.64070696",
"0.6313465",
"0.623198",
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"0.605466",
"0.6032642",
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"0.58516663",
"0.58045554",
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"0.5698064",
"0.56735736",
"0.5664453",
"0.5655646",
"0.5649527",
"0.5642045",
"0.5599978",... | 0.81616944 | 0 |
Compute the crossProduct of the vectors p2 p1 and p3 p1. | def crossProduct(p1, p2, p3):
return (
-(p1[1]*p2[0]) + p1[0]*p2[1] +
p1[1]*p3[0] - p2[1]*p3[0] -
p1[0]*p3[1] + p2[0]*p3[1]
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cross_product(p0,p1,p2):\n\treturn (((p1[0]-p0[0])*(p2[1]-p0[1]))-((p2[0]-p0[0])*(p1[1]-p0[1])))",
"def cross_product(v1, v2):\n return cg3d_vector.CG3dVector(\n v1[1] * v2[2] - v2[1] * v1[2],\n v1[2] * v2[0] - v2[2] * v1[0],\n v1[0] * v2[1] - v2[0] * v1[1]\n )",
"def crossProduc... | [
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"0.7627517",
"0.7564835",
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"0.716658",
"0.7165488",
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"0.67530876",
"0.6737045",
"0.6727149",
"0.6688273",
"0.6610096... | 0.92136556 | 0 |
Read SQL table from database and return as dataframe. | def get_db_table(table: str, index_col='id'):
# Read url from secret environment variable. Set this in your CI environment.
url = os.getenv('DATABASE_URL')
if url is None:
logging.error("Environment variable DATABASE_URL not set.")
return pd.DataFrame()
# Create an engine instan... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_data_from_database(query, db_connection):\n\n dataframe = pandas.read_sql(query, con=db_connection)\n print(\"Data from database: \", dataframe.head(5))\n print(\"Size of dataframe from database: \", dataframe.shape)\n\n return dataframe",
"def open_data(table):\n engine = create_engine(my... | [
"0.81299627",
"0.805204",
"0.80501723",
"0.80095464",
"0.7997728",
"0.7991211",
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"0.76739347",
"0.7665277",
"0.76047397",
"0.7588384",
"0.7585602",
"0.7566514... | 0.7388874 | 22 |
Updates a job build description for the current build. This method is intended to be run in an environment where JOB_NAME and BUILD_NUMBER are set in the environment, such as from within the job build itself. If either of the environment variables is not set, setting the description is not attempted at all. | def set_current_build_description(self, description):
job_name = os.environ.get("JOB_NAME", None)
build_id = os.environ.get("BUILD_NUMBER", None)
if job_name is not None and build_id is not None:
self.set_build_description(job_name, build_id, description) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_build_description(self, job_name, build, description):\n try:\n subprocess.check_call(self.cli + [PlatformJenkinsJavaCLI.SET_DESCRIPTION, job_name, build, description])\n except subprocess.CalledProcessError:\n message = \"Setting build description failed (job={0}, build... | [
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"0.50842863",
"0.50842136",
"0.5079061",
"0.50598854",
"0.5059168... | 0.8271981 | 0 |
Salt and hashes the password. | def set_password(self, password):
self.password = md5crypt(password, gen_salt()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def hash_password(self, password):\n self.password = pwd_context.encrypt(password)",
"def hash_password(self, password):\n salt = hashlib.sha256(os.urandom(60)).hexdigest().encode('ascii')\n pwdhash = hashlib.pbkdf2_hmac('sha256', password.encode('utf-8'), \n ... | [
"0.7726546",
"0.76877874",
"0.76764584",
"0.75947",
"0.7566996",
"0.7513428",
"0.74172544",
"0.7408706",
"0.7395221",
"0.7364182",
"0.7327813",
"0.73232174",
"0.7280142",
"0.7258137",
"0.72416675",
"0.72343624",
"0.72303843",
"0.72061163",
"0.72061163",
"0.72061163",
"0.72013... | 0.6528625 | 74 |
>>> create_grid(4) [['0', '0', '0', '0'], ['0', '0', '0', '0'], ['0', '0', '0', '0'], ['0', '0', '0', '0']] | def create_grid(size):
grid = []
for i in range(size):
row = ['0']*size
grid.append(row)
return grid | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_grid(grid):\r\n for i in range(4):\r\n grid.append([0]*4)\r\n return grid",
"def create_grid(grid):\r\n for i in range (4):\r\n grid.append ([])\r\n for j in range (4):\r\n grid[i].append (0)",
"def create_grid(grid):\r\n inner = [0]*4\r\n for i in rang... | [
"0.89446443",
"0.8844845",
"0.88298595",
"0.8797042",
"0.84641975",
"0.82472247",
"0.8149008",
"0.78898084",
"0.7839033",
"0.7772447",
"0.7658475",
"0.76574105",
"0.76080716",
"0.7555471",
"0.75466675",
"0.74476326",
"0.7441377",
"0.74026555",
"0.7387294",
"0.73625684",
"0.73... | 0.848049 | 4 |
Method is used to send request to the api to add a bucketlist for testing | def add_bucketlist_item(self, email, password, buckelist_id, item_name):
test_date = str(date(2020, 9, 22))
headers = self.authentication_headers(email=email, password=password)
return self.client.post(
'/api/v1/bucketlist/{}/items/'.format(buckelist_id),
data=json.d... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_create_bucketlist_item(self):\n resp = self.client.post('/bucketlists',\n data=json.dumps(self.bucketlist),\n content_type=\"application/json\", headers={\n \"Authorization\": self.token\n ... | [
"0.7808094",
"0.7646647",
"0.76416534",
"0.7634788",
"0.73911667",
"0.7332509",
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"0.7266109",
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"0.7019768",
"0.69053954",
"0.6877802",
"0.6849187",
"0.67823607",
"0.6734943... | 0.7050521 | 13 |
Returns length of memory buffer as a property. | def memlen(self):
return len(self.memory) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __len__(self) -> int:\n return len(self.buffer)",
"def __len__(self):\n return len(self.buffer)",
"def __len__(self):\n return len(self.buffer)",
"def __len__(self):\n\t\treturn len(self.memory)",
"def __len__(self):\n return len(self.memory)",
"def __len__(self):\n ... | [
"0.7560014",
"0.7533779",
"0.7533779",
"0.74142253",
"0.7374192",
"0.7374192",
"0.7374192",
"0.7374192",
"0.7374192",
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"0.7374192",
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"0.7374192",
"0.7374192",
"0.7374192",
"0.7374192",
"0.7374192",
"0.7374192",
"0.7374192",
"0.7374192",
... | 0.0 | -1 |
Returns the projected value distribution for the input state/action pair While there are several very similar implementations of this Categorical Projection methodology around github, this function owes the most | def _categorical(self, rewards, probs, dones):
# Create local vars to keep code more concise
vmin = self.vmin
vmax = self.vmax
atoms = self.atoms
num_atoms = self.num_atoms
gamma = self.gamma
rollout = self.rollout
# rewards/dones shape from [batchsize,]... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def action_distribution(self, state):\n means, stds = self.__call__(state)\n dist = Normal(means, torch.exp(stds))\n\n return dist",
"def computeQValueFromValues(self, state, action):\n \"*** YOUR CODE HERE ***\"\n transition_state_probs = self.mdp.getTransitionStatesAndProbs(s... | [
"0.6413469",
"0.5924323",
"0.58160555",
"0.5754944",
"0.57004154",
"0.56944776",
"0.5661935",
"0.56419706",
"0.5618396",
"0.56179804",
"0.5609571",
"0.55921984",
"0.558994",
"0.55720055",
"0.55444455",
"0.5505725",
"0.55023724",
"0.5493882",
"0.5492896",
"0.5434973",
"0.54172... | 0.0 | -1 |
Checks that X has coordinates named as specified by x_lat_dim, x_lon_dim, x_sample_dim, and x_feature_dim | def check_coords(X, x_lat_dim, x_lon_dim, x_sample_dim, x_feature_dim):
assert x_lat_dim in X.coords.keys(), 'XCast requires a dataset_lat_dim to be a coordinate on X'
assert x_lon_dim in X.coords.keys(), 'XCast requires a dataset_lon_dim to be a coordinate on X'
assert x_sample_dim in X.coords.keys(), 'XCast requir... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def check_all(X, x_lat_dim, x_lon_dim, x_sample_dim, x_feature_dim):\n\tcheck_dimensions(X, x_lat_dim, x_lon_dim, x_sample_dim, x_feature_dim)\n\tcheck_coords(X, x_lat_dim, x_lon_dim, x_sample_dim, x_feature_dim)\n\tcheck_consistent(X, x_lat_dim, x_lon_dim, x_sample_dim, x_feature_dim)\n\tcheck_type(X, x_lat_dim, ... | [
"0.77260077",
"0.7620336",
"0.7221872",
"0.6576378",
"0.6310555",
"0.6308388",
"0.6186717",
"0.608041",
"0.58673334",
"0.5852697",
"0.5782202",
"0.5687635",
"0.5607326",
"0.5584896",
"0.55696183",
"0.5523855",
"0.5504535",
"0.5483882",
"0.54531854",
"0.54332227",
"0.5432066",... | 0.8039974 | 0 |
Checks that X is an Xarray.DataArray | def check_type(X, x_lat_dim, x_lon_dim, x_sample_dim, x_feature_dim):
assert type(X) == xr.DataArray, 'XCast requires a dataset to be of type "Xarray.DataArray"' | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __check_is_xarray(self, data):\n if type(data) is xr.core.dataarray.DataArray or \\\n type(data) is xr.core.dataarray.Dataset:\n\n return True\n else:\n msg = \"Variable {data} is not an xarray DataArray/Dataset\"\n raise Exception(msg)",
"def is_dataa... | [
"0.86942047",
"0.71866673",
"0.7029208",
"0.69669193",
"0.6887847",
"0.67700577",
"0.66643125",
"0.6535942",
"0.63918483",
"0.63843584",
"0.636618",
"0.63450086",
"0.63026375",
"0.6252001",
"0.6233888",
"0.6226298",
"0.6150564",
"0.61219764",
"0.6118666",
"0.6112856",
"0.6090... | 0.8198799 | 1 |
Getter only property. Returns publishing topic name. | def topic(self):
return self._topic_name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def topic(self) -> str:\n return self._topic",
"def pubsub_topic(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"pubsub_topic\")",
"def topic(self):\n return self.config.get('topic', f'{NAMESPACE}/{self.id}')",
"def get_topic(self):\n return self.topic",
"def pubsub_top... | [
"0.7873912",
"0.77815044",
"0.7672942",
"0.7589836",
"0.7427634",
"0.73527247",
"0.7141051",
"0.7079695",
"0.70687497",
"0.70312816",
"0.7003432",
"0.6849306",
"0.6837315",
"0.6716",
"0.66638047",
"0.6615674",
"0.65900433",
"0.6494008",
"0.6449045",
"0.6389532",
"0.6370327",
... | 0.8160925 | 0 |
Return string representation of the instance. | def __str__(self):
return self.branch_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def as_string(self):\n return self.__repr__()",
"def __repr__(self):\n return self.to_str()",
"def __repr__(self):\n return self.to_str()",
"def __repr__(self):\n return self.to_str()",
"def __repr__(self):\n return self.to_str()",
"def __repr__(self):\n return s... | [
"0.85652095",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
"0.8392225",
... | 0.0 | -1 |
Return repr representation of the instance. | def __repr__(self):
return "<Branch: %s>" % self | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __repr__(self) -> str:\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())",
"def __repr__(self) -> str:\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())",
"def __repr__(self) -> str:\n return '{:s}({!r})'.format(self.__class__.__name__, self.ge... | [
"0.8206054",
"0.8206054",
"0.8206054",
"0.81909746",
"0.8183906",
"0.8177763",
"0.8165392",
"0.8165392",
"0.8165392",
"0.8165392",
"0.81573534",
"0.81573534",
"0.81573534",
"0.81428844",
"0.81360096",
"0.81360096",
"0.81360096",
"0.81360096",
"0.81360096",
"0.81360096",
"0.81... | 0.0 | -1 |
test upsert user template as anonymous raises access control error | def test_upsert_user_template_as_anonymous_raises_access_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.upsert(
self.fixture.user1_template, request=mock_request
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_upsert_user_template_as_anonymous_with_access_right_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.anonymous_user)\n with self.assertRaises(AccessControlError):\n template_api.upsert(\n self.fixture.user1_template,... | [
"0.79757524",
"0.78699815",
"0.77971363",
"0.7779306",
"0.7315423",
"0.7268201",
"0.72340584",
"0.71491605",
"0.711088",
"0.70220673",
"0.66764414",
"0.6670372",
"0.66626596",
"0.6651719",
"0.656055",
"0.65165913",
"0.6485727",
"0.64777356",
"0.64196575",
"0.6418435",
"0.6411... | 0.81394374 | 0 |
test upsert user template as anonymous with access right raises access control error | def test_upsert_user_template_as_anonymous_with_access_right_raises_access_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.upsert(
self.fixture.user1_template, request=mo... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_upsert_user_template_as_anonymous_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.anonymous_user)\n with self.assertRaises(AccessControlError):\n template_api.upsert(\n self.fixture.user1_template, request=mock_requ... | [
"0.80965334",
"0.7977133",
"0.7963794",
"0.7793425",
"0.7664125",
"0.7498813",
"0.72754526",
"0.7163729",
"0.71102697",
"0.708983",
"0.6803297",
"0.6699159",
"0.6673843",
"0.6615065",
"0.66076845",
"0.66003054",
"0.6594539",
"0.65447944",
"0.6544686",
"0.65272033",
"0.6497763... | 0.82011104 | 0 |
test upsert global template as anonymous raises access control error | def test_upsert_global_template_as_anonymous_raises_access_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.upsert(
self.fixture.global_template, request=mock_request
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_upsert_global_template_as_anonymous_with_access_right_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.anonymous_user)\n with self.assertRaises(AccessControlError):\n template_api.upsert(\n self.fixture.global_templa... | [
"0.7650722",
"0.756786",
"0.73319674",
"0.72709674",
"0.71599734",
"0.6970519",
"0.68684846",
"0.67423",
"0.65906715",
"0.6536628",
"0.64568055",
"0.64072675",
"0.6396326",
"0.6376108",
"0.6357626",
"0.63539773",
"0.6263191",
"0.6222696",
"0.6143397",
"0.6139016",
"0.6118972"... | 0.7757241 | 0 |
test upsert global template as anonymous raises access control error | def test_upsert_global_template_as_anonymous_with_access_right_raises_access_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.upsert(
self.fixture.global_template, request... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_upsert_global_template_as_anonymous_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.anonymous_user)\n with self.assertRaises(AccessControlError):\n template_api.upsert(\n self.fixture.global_template, request=mock_r... | [
"0.7756423",
"0.75673836",
"0.7331551",
"0.7270877",
"0.7159347",
"0.6970686",
"0.6868954",
"0.6742805",
"0.65919876",
"0.6536369",
"0.6457105",
"0.6407503",
"0.6395695",
"0.63756883",
"0.6357793",
"0.6353528",
"0.62642133",
"0.6223189",
"0.6144017",
"0.61375785",
"0.61193377... | 0.76497203 | 1 |
test upsert global template as user raises access control error | def test_upsert_global_template_as_user_raises_access_control_error(self):
mock_request = create_mock_request(user=self.user1)
with self.assertRaises(AccessControlError):
template_api.upsert(
self.fixture.global_template, request=mock_request
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_upsert_global_template_as_superuser_saves(self):\n mock_request = create_mock_request(user=self.superuser1)\n template_api.upsert(self.fixture.global_template, request=mock_request)",
"def test_upsert_own_template_as_superuser_saves(self):\n mock_request = create_mock_request(user=s... | [
"0.8106673",
"0.76909196",
"0.7503215",
"0.7482491",
"0.7482349",
"0.747998",
"0.74361557",
"0.7395664",
"0.7269864",
"0.72538686",
"0.72130823",
"0.7131496",
"0.701815",
"0.6556384",
"0.65447783",
"0.6527001",
"0.64378923",
"0.6381135",
"0.6367743",
"0.6320074",
"0.63030666"... | 0.82474107 | 0 |
test set display name global template as anonymous with right access raises access control error | def test_set_display_name_global_template_as_anonymous_with_access_right_access_raises_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.set_display_name(
self.fixture.glob... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_set_display_name_global_template_as_user_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.user1)\n with self.assertRaises(AccessControlError):\n template_api.set_display_name(\n self.fixture.global_template, \"new_na... | [
"0.7787586",
"0.7674045",
"0.7377819",
"0.7261662",
"0.6899707",
"0.68808687",
"0.6835308",
"0.66616756",
"0.665786",
"0.659236",
"0.64996874",
"0.64823717",
"0.6461565",
"0.64222765",
"0.6356866",
"0.63562834",
"0.6349354",
"0.62561953",
"0.62519723",
"0.6238655",
"0.6195329... | 0.781777 | 0 |
test get user template as anonymous raises access control error | def test_get_user_template_as_anonymous_raises_access_control_error(self):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.get_by_id(
self.fixture.user1_template.id, request=mock_request
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_global_template_as_anonymous_with_access_right_returns_template(\n self,\n ):\n mock_request = create_mock_request(user=self.anonymous_user)\n template = template_api.get_by_id(\n self.fixture.global_template.id, request=mock_request\n )\n self.assertEq... | [
"0.7613135",
"0.7530476",
"0.74307054",
"0.7373814",
"0.7083884",
"0.70543534",
"0.68818855",
"0.68209565",
"0.6811224",
"0.6782865",
"0.67101246",
"0.6708908",
"0.6702115",
"0.6648804",
"0.6645128",
"0.6643842",
"0.6637662",
"0.66228014",
"0.6600431",
"0.6600431",
"0.6591543... | 0.771759 | 0 |
test get global template as anonymous raises access control error | def test_get_global_template_as_anonymous_raises_access_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.get_by_id(
self.fixture.global_template.id, request=mock_request
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_global_template_as_anonymous_with_access_right_returns_template(\n self,\n ):\n mock_request = create_mock_request(user=self.anonymous_user)\n template = template_api.get_by_id(\n self.fixture.global_template.id, request=mock_request\n )\n self.assertEq... | [
"0.785796",
"0.71265125",
"0.6954985",
"0.68960994",
"0.6858321",
"0.6774985",
"0.6732087",
"0.6653357",
"0.6604685",
"0.6559678",
"0.65291065",
"0.6520919",
"0.6491397",
"0.64557844",
"0.6435501",
"0.6425238",
"0.6417766",
"0.64098907",
"0.6396767",
"0.6332146",
"0.63056093"... | 0.71931285 | 1 |
test get other users template raises access control error | def test_get_other_users_template_raises_access_control_error(self):
mock_request = create_mock_request(user=self.user1)
with self.assertRaises(AccessControlError):
template_api.get_by_id(
self.fixture.user2_template.id, request=mock_request
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_other_users_template_as_staff_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.staff_user1)\n with self.assertRaises(AccessControlError):\n template_api.get_by_id(\n self.fixture.user2_template.id, request=mock_r... | [
"0.77614397",
"0.744975",
"0.7427578",
"0.74270964",
"0.73795503",
"0.7345958",
"0.7273537",
"0.71408963",
"0.70783716",
"0.70651674",
"0.7050977",
"0.7047117",
"0.7017474",
"0.6984865",
"0.69814235",
"0.6955635",
"0.69546133",
"0.6926745",
"0.691739",
"0.68871033",
"0.688575... | 0.7893574 | 0 |
test get any template as superuser returns template | def test_get_any_template_as_superuser_returns_template(self):
mock_request = create_mock_request(user=self.superuser1)
template = template_api.get_by_id(
self.fixture.user1_template.id, request=mock_request
)
self.assertEqual(template, self.fixture.user1_template)
te... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_own_template_as_user_returns_template(self):\n mock_request = create_mock_request(user=self.user1)\n template = template_api.get_by_id(\n self.fixture.user1_template.id, request=mock_request\n )\n self.assertEqual(template, self.fixture.user1_template)",
"def t... | [
"0.7339057",
"0.7293115",
"0.72650164",
"0.7177737",
"0.71384394",
"0.7035053",
"0.69855136",
"0.6984406",
"0.69122374",
"0.68956125",
"0.6870337",
"0.6849097",
"0.68091345",
"0.6803988",
"0.6782561",
"0.6699082",
"0.6676653",
"0.66753626",
"0.6625917",
"0.6607886",
"0.659822... | 0.8227463 | 0 |
test get all accessible by id list as superuser returns accessible templates | def test_get_all_accessible_by_id_list_as_superuser_returns_accessible_templates(
self,
):
mock_request = create_mock_request(user=self.superuser1)
templates = template_api.get_all_accessible_by_id_list(
self.template_id_list, request=mock_request
)
self.assertTru... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_all_accessible_by_id_list_as_user_returns_accessible_templates(\n self,\n ):\n mock_request = create_mock_request(user=self.user1)\n templates = template_api.get_all_accessible_by_id_list(\n self.template_id_list, request=mock_request\n )\n self.assertT... | [
"0.8283416",
"0.8071495",
"0.7812368",
"0.7686281",
"0.7590276",
"0.7461408",
"0.73253256",
"0.7286531",
"0.72477025",
"0.7221876",
"0.7189584",
"0.7163987",
"0.71550506",
"0.7076607",
"0.70374113",
"0.7007362",
"0.6996137",
"0.6994254",
"0.69909936",
"0.6976883",
"0.6971435"... | 0.848242 | 0 |
test get all accessible by hash as staff returns global template | def test_get_all_accessible_by_hash_as_staff_returns_global_template(self):
mock_request = create_mock_request(user=self.staff_user1)
templates = template_api.get_all_accessible_by_hash(
self.fixture.global_template.hash, request=mock_request
)
self.assertTrue(self.fixture.us... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_all_accessible_by_hash_as_superuser_returns_global_template(\n self,\n ):\n mock_request = create_mock_request(user=self.superuser1)\n templates = template_api.get_all_accessible_by_hash(\n self.fixture.global_template.hash, request=mock_request\n )\n s... | [
"0.7497486",
"0.74746835",
"0.7385293",
"0.7356151",
"0.73261195",
"0.72790205",
"0.7225152",
"0.71621686",
"0.7087019",
"0.7080861",
"0.7057837",
"0.7043345",
"0.6963795",
"0.678838",
"0.66819537",
"0.6676437",
"0.6665664",
"0.66606534",
"0.66260237",
"0.65794927",
"0.655635... | 0.7554428 | 0 |
test get all accessible by hash as superuser returns global template | def test_get_all_accessible_by_hash_as_superuser_returns_global_template(
self,
):
mock_request = create_mock_request(user=self.superuser1)
templates = template_api.get_all_accessible_by_hash(
self.fixture.global_template.hash, request=mock_request
)
self.assertTr... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_all_accessible_by_hash_list_as_superuser_returns_global_template(\n self,\n ):\n mock_request = create_mock_request(user=self.superuser1)\n templates = template_api.get_all_accessible_by_hash_list(\n [self.fixture.global_template.hash], request=mock_request\n ... | [
"0.7841484",
"0.779551",
"0.7761922",
"0.76789105",
"0.7675325",
"0.75503117",
"0.75284576",
"0.75161767",
"0.7387159",
"0.73823154",
"0.73564553",
"0.73227084",
"0.72829455",
"0.716237",
"0.7129225",
"0.7032054",
"0.69710624",
"0.6944363",
"0.68697715",
"0.68558455",
"0.6848... | 0.80500853 | 0 |
test delete global template as anonymous raises access control error | def test_delete_global_template_as_anonymous_raises_access_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.delete(
self.fixture.global_template, request=mock_request
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_namespaced_template(self):\n pass",
"def test_unshare_template_registration(self):\n pass",
"def test_unregister_template(self):\n pass",
"def test_delete_global_template_as_anonymous_with_access_right_raises_access_control_error(\n self,\n ):\n mock_requ... | [
"0.81480706",
"0.7738205",
"0.76446134",
"0.760553",
"0.74554205",
"0.73302263",
"0.7171768",
"0.71101874",
"0.7082718",
"0.6964324",
"0.69628876",
"0.6946534",
"0.68553317",
"0.6727042",
"0.66276026",
"0.65248346",
"0.6505133",
"0.6429171",
"0.6403121",
"0.6380354",
"0.63574... | 0.76803684 | 2 |
test delete global template as anonymous with access right raises access control error | def test_delete_global_template_as_anonymous_with_access_right_raises_access_control_error(
self,
):
mock_request = create_mock_request(user=self.anonymous_user)
with self.assertRaises(AccessControlError):
template_api.delete(
self.fixture.global_template, request... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_namespaced_template(self):\n pass",
"def test_delete_global_template_as_user_raises_access_control_error(self):\n mock_request = create_mock_request(user=self.user1)\n with self.assertRaises(AccessControlError):\n template_api.delete(\n self.fixture.... | [
"0.7957372",
"0.78233325",
"0.7783485",
"0.7648756",
"0.73494995",
"0.724509",
"0.7238044",
"0.7229371",
"0.7146958",
"0.70505244",
"0.694791",
"0.6860597",
"0.6852993",
"0.67819417",
"0.66837376",
"0.66768485",
"0.6628545",
"0.6627234",
"0.6593351",
"0.65602285",
"0.6522194"... | 0.78978837 | 1 |
test delete global template as user raises access control error | def test_delete_global_template_as_user_raises_access_control_error(self):
mock_request = create_mock_request(user=self.user1)
with self.assertRaises(AccessControlError):
template_api.delete(
self.fixture.global_template, request=mock_request
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_global_template_as_superuser_saves(self):\n mock_request = create_mock_request(user=self.superuser1)\n template_api.delete(self.fixture.global_template, request=mock_request)",
"def test_delete_namespaced_template(self):\n pass",
"def test_delete_global_template_as_anonymou... | [
"0.8058154",
"0.78446215",
"0.7595148",
"0.75532234",
"0.75362784",
"0.753489",
"0.74993956",
"0.7437848",
"0.72980475",
"0.7283631",
"0.726282",
"0.7225051",
"0.7123989",
"0.711558",
"0.7096376",
"0.7071216",
"0.70578927",
"0.70301336",
"0.70142186",
"0.69239014",
"0.6853447... | 0.8217039 | 0 |
test delete own template as staff saves | def test_delete_own_template_as_staff_saves(self):
mock_request = create_mock_request(user=self.staff_user1)
template_api.delete(self.fixture.user1_template, request=mock_request) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_own_template_as_superuser_saves(self):\n mock_request = create_mock_request(user=self.superuser1)\n template_api.delete(self.fixture.user1_template, request=mock_request)",
"def test_delete_own_template_as_user_saves(self):\n mock_request = create_mock_request(user=self.user1... | [
"0.8108582",
"0.80523485",
"0.80356413",
"0.7905152",
"0.76571864",
"0.76172143",
"0.7565759",
"0.7552634",
"0.74682933",
"0.74544466",
"0.73570675",
"0.7341402",
"0.7218155",
"0.7113023",
"0.7024291",
"0.7003252",
"0.69519466",
"0.6912048",
"0.69030714",
"0.6814051",
"0.6802... | 0.8403106 | 0 |
test delete own template as superuser saves | def test_delete_own_template_as_superuser_saves(self):
mock_request = create_mock_request(user=self.superuser1)
template_api.delete(self.fixture.user1_template, request=mock_request) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_own_template_as_user_saves(self):\n mock_request = create_mock_request(user=self.user1)\n template_api.delete(self.fixture.user1_template, request=mock_request)",
"def test_delete_global_template_as_superuser_saves(self):\n mock_request = create_mock_request(user=self.superus... | [
"0.8280397",
"0.8224194",
"0.8060117",
"0.78996503",
"0.75895417",
"0.7520532",
"0.7519773",
"0.75025415",
"0.73786604",
"0.73680294",
"0.721002",
"0.70879525",
"0.702414",
"0.70129967",
"0.7012797",
"0.7012797",
"0.6967623",
"0.6949611",
"0.68701947",
"0.68661785",
"0.679306... | 0.8697194 | 0 |
check that columns_lst is tbset of self.df.columns.names | def validate_col_lst(self, df, columns_lst):
if columns_lst == []:
raise ValueError("column_lst is empty")
col_set = set(columns_lst)
df_col_set = set(list(df))
if col_set - df_col_set != set():
msg = "col_lst has columns name that does not exists in the DataFrame... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def verify_columns_in_dataframe(df, columns):\n\n if not isinstance(columns, list):\n columns = [columns]\n return set(columns).issubset(df.columns)",
"def _check_columns(df: pd.DataFrame, names: typing.Sequence[str]) -> None:\n for expected in names:\n if expected not in df.columns:\n ... | [
"0.7229939",
"0.69595104",
"0.6792466",
"0.6648041",
"0.66035503",
"0.65919405",
"0.65672946",
"0.6438893",
"0.64331186",
"0.6377156",
"0.6362247",
"0.63079476",
"0.62102634",
"0.61988276",
"0.6196506",
"0.61454993",
"0.61221856",
"0.61137414",
"0.61022323",
"0.6095521",
"0.6... | 0.83148104 | 0 |
Generate a side by side plot of expected and predicted | def plotExpectedPredicted(input, output, expected, label, fig, axes):
n_batches = len(input)
for batch in range(0, n_batches):
input_2d = np.clip(np.reshape(input[batch], (28, 28)), 0, 1)#.astype(np.uint8)
expected_2d = np.clip(np.reshape(expected[batch], (28, 28)), 0, 1)#.astype(np.uint8)
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_result(data, gt_y, pred_y):\n assert data.shape[0] == gt_y.shape[0]\n assert data.shape[0] == pred_y.shape[0]\n\n plt.figure()\n\n plt.subplot(1, 2, 1)\n plt.title('Ground Truth', fontsize=18)\n\n for idx in range(data.shape[0]):\n if gt_y[idx] == 0:\n ... | [
"0.7095982",
"0.7095982",
"0.6836742",
"0.6829876",
"0.6635602",
"0.6579234",
"0.6553575",
"0.65293133",
"0.6511318",
"0.64920896",
"0.6491192",
"0.6463729",
"0.6444954",
"0.64443487",
"0.6430439",
"0.6392063",
"0.6367903",
"0.635039",
"0.6348396",
"0.63420445",
"0.6334286",
... | 0.6863375 | 2 |
Extract EPSG number from file name. | def get_proj(fname):
fname = fname.split('_') # fname -> list
i = fname.index('epsg')
return fname[i+1] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_proj(fname):\r\n\r\n fname = fname.split('_') # fname -> list\r\n i = fname.index('epsg')\r\n return fname[i+1]",
"def _epsg(self):\n info = self._info['coordinateSystem']['wkt'].rsplit('\"EPSG\",', 1)[-1]\n return int(re.findall(r\"\\d+\", info)[0])",
"def get_version_filename(... | [
"0.63735604",
"0.62062746",
"0.6061637",
"0.58868164",
"0.5818382",
"0.5740342",
"0.5669474",
"0.5658069",
"0.5641101",
"0.5620341",
"0.5620254",
"0.56191593",
"0.56164837",
"0.56108224",
"0.5606117",
"0.55956405",
"0.5589816",
"0.558568",
"0.557769",
"0.5521931",
"0.55009794... | 0.6381265 | 1 |
Test that initializing a Matern1/2 kernel with 0 variance raises an exception | def test_matern12_zero_variance(matern):
with pytest.raises(ValueError) as exp:
matern(lengthscale=1.0, variance=0.0, output_dim=1)
assert exp.value.args[0].find("variance must be positive.") >= 0 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_gauss_kernel():\n\n gauss = gauss_kernel(2, 5)\n\n assert gauss.shape == (5, 5)\n assert gauss[2, 2] == 0.039788735772973836",
"def test_nonpositive_nu_raises_exception(nu):\n with pytest.raises(ValueError):\n kernels.Matern(input_dim=1, nu=nu)",
"def testKernelsNotSpecified(self):\... | [
"0.64694107",
"0.64663404",
"0.63284683",
"0.6302467",
"0.60142285",
"0.59726274",
"0.5947721",
"0.589947",
"0.5893144",
"0.589087",
"0.5890487",
"0.581995",
"0.5760517",
"0.57496685",
"0.57280266",
"0.5705864",
"0.56650275",
"0.5636754",
"0.56325996",
"0.56217444",
"0.560097... | 0.6615188 | 0 |
Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix inorder arguments and keyword arguments. | def __init__(self, *args, **kwds):
if args or kwds:
super(MoveGroupActionGoal, self).__init__(*args, **kwds)
#message fields cannot be None, assign default values for those that are
if self.header is None:
self.header = std_msgs.msg.Header()
if self.goal_id is None:
self.goal... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, *args, **kwds):\n if args or kwds:\n super(KomodoSpeechRecCommand, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.cmd is None:\n ... | [
"0.77939296",
"0.7720264",
"0.7720264",
"0.76866186",
"0.7626193",
"0.756387",
"0.74395823",
"0.7416946",
"0.7308225",
"0.72806025",
"0.72379386",
"0.72272825",
"0.7224187",
"0.7224187",
"0.7218873",
"0.7211484",
"0.7211484",
"0.7211484",
"0.7211484",
"0.7211484",
"0.7211484"... | 0.73519075 | 8 |
Compute pdf at a fixed point on the support. | def pdf(x):
return lambda point: self.information_manifold.point_to_pdf(point)(x) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def pdf(x, point):\n raise NotImplementedError(\"The pdf method has not yet been implemented.\")",
"def pdf(self, x):\n raise NotImplementedError",
"def pdf(self,x):\n returnPdf = self._distribution.pdf(x)\n return returnPdf",
"def pdf(self,x):\n if self.base == 'natural':\n pdfVa... | [
"0.7687768",
"0.74538267",
"0.74296933",
"0.73647636",
"0.7215672",
"0.71905404",
"0.7085889",
"0.70647675",
"0.70454675",
"0.69965947",
"0.69869745",
"0.69869745",
"0.697386",
"0.6928952",
"0.6928614",
"0.69227785",
"0.69120353",
"0.684598",
"0.68387115",
"0.6809058",
"0.678... | 0.73273325 | 4 |
Predict movement of game controler where is epsilon probability randomly move. | def eps_greedy_action(self, phi, tabu):
# increase counter of actions taken
self.a_count += 1
# if within the initial buffer before learning starts, random action
aval_actions = None
if self.a_count < self.warmup:
if len(tabu) > 0:
# Remove tabu act... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def predict_movement(self, data, epsilon):\n\n q_actions = self.model.predict(data, batch_size = 1)\n opt_policy = np.argmax(q_actions)\n rand_val = np.random.random()\n if rand_val < epsilon:\n opt_policy = np.random.randint(0, NUM_ACTIONS)\n return opt_policy, q_acti... | [
"0.702739",
"0.69440806",
"0.61970955",
"0.60627735",
"0.60549825",
"0.6046344",
"0.5988161",
"0.5935208",
"0.59265876",
"0.59182566",
"0.58736765",
"0.5839762",
"0.58332235",
"0.5812775",
"0.5812775",
"0.5780309",
"0.5775754",
"0.5767696",
"0.57500184",
"0.57460207",
"0.5745... | 0.0 | -1 |
Perform one step of gradient descent on (yj Q(phi, aj, w))^2 | def one_step_gd(self, batch):
# get target values yj
targets = self.get_target(batch)
phi_input = np.vstack(batch[0])
masks = self.get_masks(batch[1])
dummy_targets = targets.max(axis=1)
X = [phi_input, targets, masks]
Y = [dummy_targets, targets]
# upd... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def learning_by_gradient_descent(y, tx, w, gamma):\n loss = calculate_loss(y,tx,w)\n grad = calculate_gradient(y,tx,w)\n w_new = w - gamma*grad\n #grad is for debugging purpose\n return loss, w_new,grad",
"def learning_by_gradient_descent(y, tx, w, gamma):\n loss = calculate_loss(y,tx,w)\n g... | [
"0.7216477",
"0.71876305",
"0.71149236",
"0.7052852",
"0.7013499",
"0.69575596",
"0.69293684",
"0.68894744",
"0.6888488",
"0.688774",
"0.6869979",
"0.68588704",
"0.6835098",
"0.6807218",
"0.6702064",
"0.66813123",
"0.66674036",
"0.65884393",
"0.6562325",
"0.6562148",
"0.65378... | 0.0 | -1 |
Returns the LibXCFunctional references. | def get_references(self):
return self._refs | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def function_refs(self) -> List[FunctionReference]:\n return self._function_refs",
"def getXRefsTo(self):\r\n # type: () -> (list[int], list[int])\r\n crefs = []\r\n drefs = []\r\n # If the current address is function process it\r\n if idc.get_func_flags(self.func_ea) !=... | [
"0.69382197",
"0.6387038",
"0.6072197",
"0.58689415",
"0.5774684",
"0.57471573",
"0.57462764",
"0.57416767",
"0.5685982",
"0.561145",
"0.5598167",
"0.5594494",
"0.55660653",
"0.5555497",
"0.55140364",
"0.55033904",
"0.5478641",
"0.54763013",
"0.5456211",
"0.5435863",
"0.54161... | 0.56396455 | 9 |
Sets the density threshold below which the functional will not be evaluated. | def set_dens_threshold(self, dens_threshold):
if dens_threshold < 0:
raise ValueError("The density threshold cannot be smaller than 0.")
core.xc_func_set_dens_threshold(self.xc_func, ctypes.c_double(dens_threshold)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setThreshold(self, threshold): # real signature unknown; restored from __doc__\n pass",
"def clear_density(self):\n self._density = None",
"def set_threshold(self, threshold):\n self._threshold = check_value_positive('threshold', threshold)",
"def threshold(self,thresholdValue):\n ... | [
"0.63226175",
"0.61955786",
"0.6171416",
"0.61262935",
"0.59644085",
"0.58235157",
"0.58235157",
"0.58235157",
"0.58235157",
"0.58235157",
"0.57770663",
"0.5771117",
"0.5760468",
"0.5694355",
"0.5690046",
"0.56802684",
"0.5664838",
"0.56599784",
"0.56505716",
"0.5615393",
"0.... | 0.7752366 | 0 |
Sets the smallest value allowed for tau. Smaller values than this get overwritten in the evaluation. | def set_tau_threshold(self, tau_threshold):
if tau_threshold < 0:
raise ValueError("The tau threshold cannot be smaller than 0.")
core.xc_func_set_tau_threshold(self.xc_func, ctypes.c_double(tau_threshold)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self,tau = 1e-3):\n self._tau = tau \n pass",
"def __init__(self, tau=1, eps=None):\n self.tau = tau\n self.eps = eps or np.finfo(config.precision).eps\n self.rng = np.random.default_rng()\n self.smax = Softmax()",
"def init_tau(self, type: str = 'safest', we... | [
"0.64921534",
"0.61496323",
"0.61187613",
"0.6012751",
"0.59901506",
"0.58402216",
"0.5835517",
"0.56944895",
"0.5693752",
"0.5693752",
"0.5661594",
"0.55744827",
"0.55099267",
"0.5492436",
"0.5492436",
"0.54596823",
"0.5449228",
"0.5433668",
"0.54214495",
"0.54214495",
"0.54... | 0.60347635 | 3 |
Strip path and extension. Return base filename. | def basename(self):
return get_basename(self.filename) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def filename_strip_ext(filename):\n base = os.path.basename(filename)\n # Strip file extension\n return os.path.splitext(base)[0]",
"def get_filename(file_path):\n\n # Get rid of directories and etc\n just_file = os.path.basename(file_path)\n\n # Now we return just the base name\n return os.... | [
"0.80113024",
"0.7722132",
"0.7642737",
"0.7580186",
"0.7531498",
"0.74958444",
"0.7461117",
"0.72882116",
"0.726376",
"0.72585756",
"0.7248201",
"0.72440237",
"0.7239742",
"0.7233385",
"0.7215656",
"0.721015",
"0.72061",
"0.7173597",
"0.7156511",
"0.7147149",
"0.7107287",
... | 0.6472341 | 80 |
Construct and return a filename for this tile. | def generate_filename(
self, directory=os.getcwd(), prefix="tile", format="png", path=True
):
filename = prefix + "_{col:02d}_{row:02d}.{ext}".format(
col=self.column, row=self.row, ext=format.lower().replace("jpeg", "jpg")
)
if not path:
return filename
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tilefilename(self, x, y, z):\n\n tileIndex = x + y * self.tierSizeInTiles[z][0] + self.tileCountUpToTier[z]\n return os.path.join(\"TileGroup%.0f\" % math.floor( tileIndex / 256 ),\n \"%s-%s-%s.%s\" % ( z, x, y, self.tileformat))",
"def tilefilename(self, x, y, z):\n\n tileIndex = x + y * self.tie... | [
"0.7717686",
"0.77164763",
"0.74944174",
"0.73645",
"0.71533597",
"0.7137769",
"0.7135323",
"0.71192485",
"0.7112908",
"0.7089001",
"0.69753784",
"0.69214255",
"0.6892904",
"0.6883375",
"0.686652",
"0.68156606",
"0.6811536",
"0.6807842",
"0.6796225",
"0.6787518",
"0.6782904",... | 0.7444088 | 3 |
Split an image into a specified number of tiles. | def slice(
filename,
number_tiles=None,
col=None,
row=None,
save=True,
DecompressionBombWarning=True,
):
if DecompressionBombWarning is False:
Image.MAX_IMAGE_PIXELS = None
im = Image.open(filename)
im_w, im_h = im.size
columns = 0
rows = 0
if number_tiles:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _split_image_into_tiles(\n self, image: np.ndarray\n ) -> t.Sequence[t.Tuple[t.Tuple[t.Any, ...], np.ndarray]]:\n h, w, c = image.shape\n tile_height = (\n math.ceil(h / (self._n_tiles // 2 - 1))\n if self._n_tiles > 4\n else math.ceil(h / (self._n_tiles... | [
"0.7739236",
"0.76190794",
"0.70275676",
"0.67776227",
"0.6704536",
"0.66682243",
"0.6638104",
"0.6595239",
"0.65494275",
"0.6480226",
"0.646695",
"0.6428937",
"0.6403003",
"0.6392269",
"0.6336873",
"0.62955356",
"0.6278064",
"0.6265527",
"0.6264345",
"0.624642",
"0.614579",
... | 0.64391273 | 11 |
Open all images in a directory. Return tuple of Tile instances. | def open_images_in(directory):
files = [
filename
for filename in os.listdir(directory)
if "_" in filename and not filename.startswith("joined")
]
tiles = []
if len(files) > 0:
i = 0
for file in files:
pos = get_image_column_row(file)
im =... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_pic_in_directory(directory):\n return [Image.open(os.path.join(directory, img)) for img in os.listdir(directory)]",
"def get_images(directory=None): #import from mask.py\n \n if directory == None:\n directory = os.getcwd() # Use working directory if unspecified\n \n image_list ... | [
"0.67336595",
"0.6599813",
"0.6416653",
"0.63725936",
"0.61642754",
"0.6014441",
"0.5978408",
"0.59570676",
"0.5940081",
"0.5896447",
"0.58877945",
"0.5837525",
"0.5792128",
"0.5787893",
"0.5751572",
"0.57426775",
"0.5739392",
"0.57090163",
"0.57005966",
"0.56994253",
"0.5688... | 0.81790555 | 0 |
If a media resource has an image, its type property should indicate it's an image. | def test_type_image(image):
resource = models.MediaResource(image=image)
assert resource.type == models.MediaResource.TYPE_IMAGE | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_image(content_type):\n return content_type == \"image/jpeg\" or content_type == \"image/png\"",
"def is_image(self):\r\n # we can only get this if we have headers\r\n LOG.debug('content type')\r\n LOG.debug(self.content_type)\r\n if (self.content_type is not None and\r\n ... | [
"0.71367157",
"0.6835922",
"0.6663885",
"0.6654667",
"0.6619548",
"0.648332",
"0.6373138",
"0.6143732",
"0.6071515",
"0.59954345",
"0.5967518",
"0.596137",
"0.59485954",
"0.5918796",
"0.5918796",
"0.5918796",
"0.5918796",
"0.5918796",
"0.5918796",
"0.5918796",
"0.5918796",
... | 0.7742908 | 0 |
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