hybrid-diff-ar/stack-v2-sparse-classes-36k

8a811a0ece610f3c3f50cf6a572fa198a6b2a4be

[ "if sk:\n self.n = sk.n\n self.h = sk.h\nelif n and h:\n self.n = n\n self.h = h\nelse:\n raise Exception('Public Key construction failed: insufficient/wrong arguments')\nself.signature_bound = Params[self.n]['sig_bound']\nself.sig_bytelen = Params[self.n]['sig_bytelen']", "rep = 'Public for n = {n...

<|body_start_0|> if sk: self.n = sk.n self.h = sk.h elif n and h: self.n = n self.h = h else: raise Exception('Public Key construction failed: insufficient/wrong arguments') self.signature_bound = Params[self.n]['sig_bound'] ...

This class contains methods for performing public key operations in Falcon.

PublicKey

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033000

15,043

permissive

[ { "docstring": "Initialize a public key.", "name": "__init__", "signature": "def __init__(self, sk=None, n=None, h=None)" }, { "docstring": "Print the object in readable form.", "name": "__repr__", "signature": "def __repr__(self)" }, { "docstring": "Hash a message to a point in ...

4

stack_v2_sparse_classes_30k_train_015182

Implement the Python class `PublicKey` described below. Class description: This class contains methods for performing public key operations in Falcon. Method signatures and docstrings: - def __init__(self, sk=None, n=None, h=None): Initialize a public key. - def __repr__(self): Print the object in readable form. - de...

1480c1e71b624a147dc0a18aa043f1101435ba85

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PublicKey: """This class contains methods for performing public key operations in Falcon.""" def __init__(self, sk=None, n=None, h=None): """Initialize a public key.""" if sk: self.n = sk.n self.h = sk.h elif n and h: self.n = n self...

the_stack_v2_python_sparse

falcon/falcon.py

samuelgoh1525/falcon-blockchain

train

4

fa857fc0ac0d6b08c87820362e8d6005ba181cfa

[ "DefaultDelegate.__init__(self)\nself._logger = logging.getLogger('BlueSTSDK')\nself._show_warnings = show_warnings", "manager = Manager.instance()\ntry:\n nodes = manager.get_nodes()[:]\n for node in nodes:\n if node.get_tag() == scan_entry.addr:\n node.is_alive(scan_entry.rssi)\n ...

Delegate class to scan Bluetooth Low Energy devices.

_ScannerDelegate

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class _ScannerDelegate: """Delegate class to scan Bluetooth Low Energy devices.""" def __init__(self, show_warnings=False): """Constructor. Args: show_warnings (bool, optional): If True shows warnings, if any, when discovering devices that do not respect the BlueSTSDK's advertising data fo...

stack_v2_sparse_classes_36k_train_033001

25,914

permissive

[ { "docstring": "Constructor. Args: show_warnings (bool, optional): If True shows warnings, if any, when discovering devices that do not respect the BlueSTSDK's advertising data format, nothing otherwise.", "name": "__init__", "signature": "def __init__(self, show_warnings=False)" }, { "docstring...

2

stack_v2_sparse_classes_30k_train_002202

Implement the Python class `_ScannerDelegate` described below. Class description: Delegate class to scan Bluetooth Low Energy devices. Method signatures and docstrings: - def __init__(self, show_warnings=False): Constructor. Args: show_warnings (bool, optional): If True shows warnings, if any, when discovering device...

0a492c94ff056f9d942e35325c6b9a02e6938eb4

<|skeleton|> class _ScannerDelegate: """Delegate class to scan Bluetooth Low Energy devices.""" def __init__(self, show_warnings=False): """Constructor. Args: show_warnings (bool, optional): If True shows warnings, if any, when discovering devices that do not respect the BlueSTSDK's advertising data fo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _ScannerDelegate: """Delegate class to scan Bluetooth Low Energy devices.""" def __init__(self, show_warnings=False): """Constructor. Args: show_warnings (bool, optional): If True shows warnings, if any, when discovering devices that do not respect the BlueSTSDK's advertising data format, nothing...

the_stack_v2_python_sparse

blue_st_sdk/manager.py

STMicroelectronics/BlueSTSDK_Python

train

47

58e5588004556cf3f4b225684954358ecbe010fd

[ "json_data = request.get_json()\nb = event_builders.FbEventBuilder()\nb.build_with_fb_dict(json_data)\ne: event_models.SocialEvent = b.export_as_class(event_models.SocialEvent)\nref: DocumentReference = EventDao().create_fb_event(e)\ne.set_firestore_ref(ref)\ndict_view = e.to_dict_view()\ndict_view['eventId'] = ref...

<|body_start_0|> json_data = request.get_json() b = event_builders.FbEventBuilder() b.build_with_fb_dict(json_data) e: event_models.SocialEvent = b.export_as_class(event_models.SocialEvent) ref: DocumentReference = EventDao().create_fb_event(e) e.set_firestore_ref(ref) ...

Handles user facebook event upload

UserEventService

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UserEventService: """Handles user facebook event upload""" def post(self, uid): """Creates a new event with Facebook event JSON (that is obtained from Facebook Graph API). --- tags: - events parameters: - in: body name: body schema: id: UserEventJSON type: object required: - descript...

stack_v2_sparse_classes_36k_train_033002

8,250

no_license

[ { "docstring": "Creates a new event with Facebook event JSON (that is obtained from Facebook Graph API). --- tags: - events parameters: - in: body name: body schema: id: UserEventJSON type: object required: - description - end_time - start_time - place - id properties: description: type: string example: \"Advan...

2

stack_v2_sparse_classes_30k_train_012762

Implement the Python class `UserEventService` described below. Class description: Handles user facebook event upload Method signatures and docstrings: - def post(self, uid): Creates a new event with Facebook event JSON (that is obtained from Facebook Graph API). --- tags: - events parameters: - in: body name: body sc...

f1e98f0002046cb4c932f9f1badbdf2eb8af92d1

<|skeleton|> class UserEventService: """Handles user facebook event upload""" def post(self, uid): """Creates a new event with Facebook event JSON (that is obtained from Facebook Graph API). --- tags: - events parameters: - in: body name: body schema: id: UserEventJSON type: object required: - descript...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UserEventService: """Handles user facebook event upload""" def post(self, uid): """Creates a new event with Facebook event JSON (that is obtained from Facebook Graph API). --- tags: - events parameters: - in: body name: body schema: id: UserEventJSON type: object required: - description - end_tim...

the_stack_v2_python_sparse

gravitate/api_server/event/services.py

billyrrr/gravitate-backend

train

0

c5043a4054952153f7f05659bb54bf4cf7821e0e

[ "self._keep_original = True\nif mode == ModeKeys.INFER and ignore_fields is not None and (len(ignore_fields) > 0):\n self._keep_original = False\n self._reserved_fields = [x for x in all_fields if x not in ignore_fields]\n self._new_type = namedtuple('new_type', self._reserved_fields)", "if self._keep_or...

<|body_start_0|> self._keep_original = True if mode == ModeKeys.INFER and ignore_fields is not None and (len(ignore_fields) > 0): self._keep_original = False self._reserved_fields = [x for x in all_fields if x not in ignore_fields] self._new_type = namedtuple('new_typ...

A helper to remove fields from a namedtuple.

DecoderOutputRemover

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DecoderOutputRemover: """A helper to remove fields from a namedtuple.""" def __init__(self, mode, all_fields, ignore_fields): """Initializes the fields. Only when mode==INFER, apply removes. Args: mode: A mode. all_fields: A list of string, all fields of a namedtuple. ignore_fields: ...

stack_v2_sparse_classes_36k_train_033003

8,227

permissive

[ { "docstring": "Initializes the fields. Only when mode==INFER, apply removes. Args: mode: A mode. all_fields: A list of string, all fields of a namedtuple. ignore_fields: A list of string or None, the fields to be removed.", "name": "__init__", "signature": "def __init__(self, mode, all_fields, ignore_f...

2

stack_v2_sparse_classes_30k_train_018743

Implement the Python class `DecoderOutputRemover` described below. Class description: A helper to remove fields from a namedtuple. Method signatures and docstrings: - def __init__(self, mode, all_fields, ignore_fields): Initializes the fields. Only when mode==INFER, apply removes. Args: mode: A mode. all_fields: A li...

01155c740705f1641ebf3134829cea0e212f2d28

<|skeleton|> class DecoderOutputRemover: """A helper to remove fields from a namedtuple.""" def __init__(self, mode, all_fields, ignore_fields): """Initializes the fields. Only when mode==INFER, apply removes. Args: mode: A mode. all_fields: A list of string, all fields of a namedtuple. ignore_fields: ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DecoderOutputRemover: """A helper to remove fields from a namedtuple.""" def __init__(self, mode, all_fields, ignore_fields): """Initializes the fields. Only when mode==INFER, apply removes. Args: mode: A mode. all_fields: A list of string, all fields of a namedtuple. ignore_fields: A list of str...

the_stack_v2_python_sparse

njunmt/utils/expert_utils.py

zhaocq-nlp/NJUNMT-tf

train

114

a89486f1b62b3ba2fd79ce5f7319a23a9b843bf3

[ "self.offer_id = offer_id\nself.order_id = order_id\nself.products = products\nself.cc_expiration_date = cc_expiration_date\nself.delay = delay\nself.grand_total = grand_total\nself.has_shipping = has_shipping\nself.has_taxes = has_taxes\nself.shipping = shipping\nself.shipping_charge_reoccurring_orders = shipping_...

<|body_start_0|> self.offer_id = offer_id self.order_id = order_id self.products = products self.cc_expiration_date = cc_expiration_date self.delay = delay self.grand_total = grand_total self.has_shipping = has_shipping self.has_taxes = has_taxes s...

Implementation of the 'Offer' model. TODO: type model description here. Attributes: offer_id (int): This must be a valid Offer ID. order_id (int): This must be a valid Order ID. products (list of Product): TODO: type description here. cc_expiration_date (string): Credit card expiration date. delay (int): Days to delay ...

Offer

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Offer: """Implementation of the 'Offer' model. TODO: type model description here. Attributes: offer_id (int): This must be a valid Offer ID. order_id (int): This must be a valid Order ID. products (list of Product): TODO: type description here. cc_expiration_date (string): Credit card expiration ...

stack_v2_sparse_classes_36k_train_033004

5,301

permissive

[ { "docstring": "Constructor for the Offer class", "name": "__init__", "signature": "def __init__(self, offer_id=None, order_id=None, products=None, cc_expiration_date=None, delay=None, grand_total=None, has_shipping=False, has_taxes=False, shipping=None, shipping_charge_reoccurring_orders=False, sub_tot...

2

stack_v2_sparse_classes_30k_train_013219

Implement the Python class `Offer` described below. Class description: Implementation of the 'Offer' model. TODO: type model description here. Attributes: offer_id (int): This must be a valid Offer ID. order_id (int): This must be a valid Order ID. products (list of Product): TODO: type description here. cc_expiration...

fb4834e89b897dce3475c89c7e6c34bf8756880e

<|skeleton|> class Offer: """Implementation of the 'Offer' model. TODO: type model description here. Attributes: offer_id (int): This must be a valid Offer ID. order_id (int): This must be a valid Order ID. products (list of Product): TODO: type description here. cc_expiration_date (string): Credit card expiration ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Offer: """Implementation of the 'Offer' model. TODO: type model description here. Attributes: offer_id (int): This must be a valid Offer ID. order_id (int): This must be a valid Order ID. products (list of Product): TODO: type description here. cc_expiration_date (string): Credit card expiration date. delay (...

the_stack_v2_python_sparse

ontraportlib/models/offer.py

LifePosts/ontraportlib

train

0

f6d2ede946d5c17a6ef11ce5be69c7d9e6bfb127

[ "if not cls._api_key:\n try:\n cls._api_key = API_KEY_FILE.read_text('r').strip()\n except Exception:\n cls._log.debug('api key not present in file')\n if IniSettings.read('api_key_dont_bother', False):\n cls._log.debug('will try to obtain api key from internet')\n c...

<|body_start_0|> if not cls._api_key: try: cls._api_key = API_KEY_FILE.read_text('r').strip() except Exception: cls._log.debug('api key not present in file') if IniSettings.read('api_key_dont_bother', False): cls._log.de...

Class that reads and stores google API key. If the key is not found, show prompt to download.

GoogleApiKey

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GoogleApiKey: """Class that reads and stores google API key. If the key is not found, show prompt to download.""" def value(cls, GUI: bool) -> Optional[str]: """Reads google api key needed by lyricsfinder from file. Returns ------- Optional[str] google API key""" <|body_0|> ...

stack_v2_sparse_classes_36k_train_033005

11,111

permissive

[ { "docstring": "Reads google api key needed by lyricsfinder from file. Returns ------- Optional[str] google API key", "name": "value", "signature": "def value(cls, GUI: bool) -> Optional[str]" }, { "docstring": "Prompt user to input google API key. Asks user through GUI or CLI if he wants to get...

2

stack_v2_sparse_classes_30k_train_000701

Implement the Python class `GoogleApiKey` described below. Class description: Class that reads and stores google API key. If the key is not found, show prompt to download. Method signatures and docstrings: - def value(cls, GUI: bool) -> Optional[str]: Reads google api key needed by lyricsfinder from file. Returns ---...

e8836c23b7b7e43661b59afd1bfc18d381b95d4a

<|skeleton|> class GoogleApiKey: """Class that reads and stores google API key. If the key is not found, show prompt to download.""" def value(cls, GUI: bool) -> Optional[str]: """Reads google api key needed by lyricsfinder from file. Returns ------- Optional[str] google API key""" <|body_0|> ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GoogleApiKey: """Class that reads and stores google API key. If the key is not found, show prompt to download.""" def value(cls, GUI: bool) -> Optional[str]: """Reads google api key needed by lyricsfinder from file. Returns ------- Optional[str] google API key""" if not cls._api_key: ...

the_stack_v2_python_sparse

wiki_music/utilities/getters.py

marian-code/wikipedia-music-tags

train

13

e39f560cd7b2eeb958a2678376aefe5ea8f14256

[ "if not matrix:\n return\nself.row = len(matrix)\nself.col = len(matrix[0])\nself.matrix = [[0] * self.col for _ in range(self.row)]\nfor i in xrange(self.row):\n for j in xrange(self.col):\n self.matrix[i][j] = self.matrix[max(0, i - 1)][j] + matrix[i][j]", "origin = self.matrix[0][col] if not row e...

<|body_start_0|> if not matrix: return self.row = len(matrix) self.col = len(matrix[0]) self.matrix = [[0] * self.col for _ in range(self.row)] for i in xrange(self.row): for j in xrange(self.col): self.matrix[i][j] = self.matrix[max(0, i -...

NumMatrix

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033006

1,350

no_license

[ { "docstring": ":type matrix: List[List[int]]", "name": "__init__", "signature": "def __init__(self, matrix)" }, { "docstring": ":type row: int :type col: int :type val: int :rtype: void", "name": "update", "signature": "def update(self, row, col, val)" }, { "docstring": ":type r...

3

null

Implement the Python class `NumMatrix` described below. Class description: Implement the NumMatrix class. Method signatures and docstrings: - def __init__(self, matrix): :type matrix: List[List[int]] - def update(self, row, col, val): :type row: int :type col: int :type val: int :rtype: void - def sumRegion(self, row...

ed15eb27936b39980d4cb5fb61cd937ec7ddcb6a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NumMatrix: def __init__(self, matrix): """:type matrix: List[List[int]]""" if not matrix: return self.row = len(matrix) self.col = len(matrix[0]) self.matrix = [[0] * self.col for _ in range(self.row)] for i in xrange(self.row): for j in ...

the_stack_v2_python_sparse

alice/LC308.py

AliceTTXu/LeetCode

train

0

23bcec14b4c48f7cdf165be4baaf6f41c0d2d2b8

[ "head = ListNode(Arr[0])\np = head\nfor i in range(1, len(Arr)):\n p.next = ListNode(Arr[i])\n p = p.next\np.next = None\nreturn head", "p = head\nresult = []\nwhile p:\n result.append(p.val)\n p = p.next\nreturn result" ]

LinkList

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033007

1,643

no_license

[ { "docstring": "建立链表", "name": "buildList", "signature": "def buildList(self, Arr)" }, { "docstring": "从头到尾打印链表", "name": "printLinkList", "signature": "def printLinkList(self, head)" } ]

2

null

Implement the Python class `LinkList` described below. Class description: Implement the LinkList class. Method signatures and docstrings: - def buildList(self, Arr): 建立链表 - def printLinkList(self, head): 从头到尾打印链表

Implement the Python class `LinkList` described below. Class description: Implement the LinkList class. Method signatures and docstrings: - def buildList(self, Arr): 建立链表 - def printLinkList(self, head): 从头到尾打印链表 <|skeleton|> class LinkList: def buildList(self, Arr): """建立链表""" <|body_0|> d...

4e4f739402b95691f6c91411da26d7d3bfe042b6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LinkList: def buildList(self, Arr): """建立链表""" head = ListNode(Arr[0]) p = head for i in range(1, len(Arr)): p.next = ListNode(Arr[i]) p = p.next p.next = None return head def printLinkList(self, head): """从头到尾打印链表""" ...

the_stack_v2_python_sparse

剑指offer/14.链表中倒数第k个结点.py

hugechuanqi/Algorithms-and-Data-Structures

train

3

d7ad585d4bbb4111391ef8202181282d0c9d19eb

[ "super(BundleAction, self)._fixup()\nself.type = 'coord-action'\nself.name = self.coordJobName\nif self.conf:\n conf_data = i18n.smart_str(self.conf)\n if not isinstance(conf_data, bytes):\n conf_data = conf_data.encode('utf-8')\n xml = string_io(conf_data)\n self.conf_dict = hadoop.confparse.Con...

<|body_start_0|> super(BundleAction, self)._fixup() self.type = 'coord-action' self.name = self.coordJobName if self.conf: conf_data = i18n.smart_str(self.conf) if not isinstance(conf_data, bytes): conf_data = conf_data.encode('utf-8') ...

BundleAction

[ "CC-BY-3.0", "LicenseRef-scancode-other-copyleft", "LicenseRef-scancode-unknown-license-reference", "ZPL-2.0", "Unlicense", "LGPL-3.0-only", "CC0-1.0", "LicenseRef-scancode-other-permissive", "CNRI-Python", "LicenseRef-scancode-warranty-disclaimer", "GPL-2.0-or-later", "Python-2.0", "GPL-3.0...

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033008

19,361

permissive

[ { "docstring": "Fixup: - time fields as struct_time - config dict", "name": "_fixup", "signature": "def _fixup(self)" }, { "docstring": "How much more time before the next action.", "name": "get_progress", "signature": "def get_progress(self)" } ]

2

stack_v2_sparse_classes_30k_train_011486

Implement the Python class `BundleAction` described below. Class description: Implement the BundleAction class. Method signatures and docstrings: - def _fixup(self): Fixup: - time fields as struct_time - config dict - def get_progress(self): How much more time before the next action.

Implement the Python class `BundleAction` described below. Class description: Implement the BundleAction class. Method signatures and docstrings: - def _fixup(self): Fixup: - time fields as struct_time - config dict - def get_progress(self): How much more time before the next action. <|skeleton|> class BundleAction:...

dccb9467675c67b9c3399fc76c5de6d31bfb8255

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BundleAction: def _fixup(self): """Fixup: - time fields as struct_time - config dict""" super(BundleAction, self)._fixup() self.type = 'coord-action' self.name = self.coordJobName if self.conf: conf_data = i18n.smart_str(self.conf) if not isinsta...

the_stack_v2_python_sparse

desktop/libs/liboozie/src/liboozie/types.py

cloudera/hue

train

5,655

4807a2ddafb4cd8fadca531f15aa415397156b9d

[ "super().__init__(unique_id, model)\nself.pos = np.array(pos)\nself.speed = speed\nself.velocity = velocity\nself.neighborhood = neighborhood\nself.separation = separation\nself.cohere_factor = cohere\nself.separate_factor = separate\nself.match_factor = match", "cohere = np.zeros(2)\nif neighbors:\n for neigh...

<|body_start_0|> super().__init__(unique_id, model) self.pos = np.array(pos) self.speed = speed self.velocity = velocity self.neighborhood = neighborhood self.separation = separation self.cohere_factor = cohere self.separate_factor = separate self....

A Boid-style agent. Their heading (a unit vector) and their interactions with their neighbors - cohering and avoiding - define their movement. Separation is their desired minimum distance from any other Boid.

Fish

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Fish: """A Boid-style agent. Their heading (a unit vector) and their interactions with their neighbors - cohering and avoiding - define their movement. Separation is their desired minimum distance from any other Boid.""" def __init__(self, unique_id, model, pos, speed, velocity, neighborhood...

stack_v2_sparse_classes_36k_train_033009

7,430

no_license

[ { "docstring": "Create a new Boid (bird, fish) agent. Args: unique_id: Unique agent identifier. pos: Starting position speed: Distance to move per step. velocity: numpy vector for the Boid's direction of movement. neighborhood: how many neighbours too look for. separation: Minimum distance to maintain from othe...

5

stack_v2_sparse_classes_30k_train_003765

Implement the Python class `Fish` described below. Class description: A Boid-style agent. Their heading (a unit vector) and their interactions with their neighbors - cohering and avoiding - define their movement. Separation is their desired minimum distance from any other Boid. Method signatures and docstrings: - def...

18166af285d2a40f903bc178f5c37b7d758fb0bd

<|skeleton|> class Fish: """A Boid-style agent. Their heading (a unit vector) and their interactions with their neighbors - cohering and avoiding - define their movement. Separation is their desired minimum distance from any other Boid.""" def __init__(self, unique_id, model, pos, speed, velocity, neighborhood...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Fish: """A Boid-style agent. Their heading (a unit vector) and their interactions with their neighbors - cohering and avoiding - define their movement. Separation is their desired minimum distance from any other Boid.""" def __init__(self, unique_id, model, pos, speed, velocity, neighborhood, separation,...

the_stack_v2_python_sparse

alternative_models/shoal_model_neighbours.py

sowasser/fish-shoaling-model

train

1

2dab435c90bc30d395583a87cfe2ea6e6e94cd9a

[ "def recursive(outputlist):\n new_list = [1]\n for i in range(1, len(outputlist)):\n new_list.append(outputlist[i - 1] + outputlist[i])\n new_list.append(1)\n return new_list\nout = [1]\nfor j in range(0, rowIndex):\n out = recursive(out)\nreturn out", "row = [1]\nfor _ in range(rowIndex):\n...

<|body_start_0|> def recursive(outputlist): new_list = [1] for i in range(1, len(outputlist)): new_list.append(outputlist[i - 1] + outputlist[i]) new_list.append(1) return new_list out = [1] for j in range(0, rowIndex): ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033010

1,680

no_license

[ { "docstring": ":type rowIndex: int :rtype: List[int]", "name": "getRow", "signature": "def getRow(self, rowIndex)" }, { "docstring": ":type rowIndex: int :rtype: List[int]", "name": "getRow_cool", "signature": "def getRow_cool(self, rowIndex)" }, { "docstring": ":type rowIndex: ...

3

stack_v2_sparse_classes_30k_train_018774

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def getRow(self, rowIndex): :type rowIndex: int :rtype: List[int] - def getRow_cool(self, rowIndex): :type rowIndex: int :rtype: List[int] - def getRow_1(self, rowIndex): :type r...

85f71621c54f6b0029f3a2746f022f89dd7419d9

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def getRow(self, rowIndex): """:type rowIndex: int :rtype: List[int]""" def recursive(outputlist): new_list = [1] for i in range(1, len(outputlist)): new_list.append(outputlist[i - 1] + outputlist[i]) new_list.append(1) ...

the_stack_v2_python_sparse

LeetCode/Array/119_Pascal's_triangle_ii.py

XyK0907/for_work

train

0

06fd3242d8f322f6bab259c48bda1032d285c993

[ "if _JSONAVAIL:\n self._json_encoder = json.JSONEncoder(separators=(',', ':'), sort_keys=True).encode\n self._json_decoder = json.JSONDecoder(strict=False).decode\nelse:\n\n def json_not_impl(dummy):\n _ = dummy\n raise NotImplementedError('Python should include json. Please check your Python...

<|body_start_0|> if _JSONAVAIL: self._json_encoder = json.JSONEncoder(separators=(',', ':'), sort_keys=True).encode self._json_decoder = json.JSONDecoder(strict=False).decode else: def json_not_impl(dummy): _ = dummy raise NotImplement...

This class provides a common streaming approach for the purpose of reliably sending data over a socket interface. Replaces usage of 'Unpickler.load' where possible with JSON format prepended by message length header. Uses json in python stdlib (in python >= 2.6) or simplejson (in python < 2.6). If neither are available...

StreamHandler

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class StreamHandler: """This class provides a common streaming approach for the purpose of reliably sending data over a socket interface. Replaces usage of 'Unpickler.load' where possible with JSON format prepended by message length header. Uses json in python stdlib (in python >= 2.6) or simplejson (i...

stack_v2_sparse_classes_36k_train_033011

19,184

permissive

[ { "docstring": "Stream handler that encodes objects as either JSON (if available) with message length header prepended for sending over a socket, or as a pickled object if using python < 2.6 and simplejson is not installed. Since 'pickle.load' has memory leak issues with memoization (remembers absolutely everyt...

4

null

Implement the Python class `StreamHandler` described below. Class description: This class provides a common streaming approach for the purpose of reliably sending data over a socket interface. Replaces usage of 'Unpickler.load' where possible with JSON format prepended by message length header. Uses json in python std...

ed4d650dbd806672401d4341fecc30274c4972c7

<|skeleton|> class StreamHandler: """This class provides a common streaming approach for the purpose of reliably sending data over a socket interface. Replaces usage of 'Unpickler.load' where possible with JSON format prepended by message length header. Uses json in python stdlib (in python >= 2.6) or simplejson (i...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StreamHandler: """This class provides a common streaming approach for the purpose of reliably sending data over a socket interface. Replaces usage of 'Unpickler.load' where possible with JSON format prepended by message length header. Uses json in python stdlib (in python >= 2.6) or simplejson (in python < 2....

the_stack_v2_python_sparse

src/robotide/contrib/testrunner/TestRunnerAgent.py

robotframework/RIDE

train

897

e0f530c691c854e7a3b0ddda8e503b61704bbce3

[ "self.coins = [5, 7, 1, 1, 2, 3, 22]\nself.output = 20\nreturn (self.coins, self.output)", "coins, output = self.setUp()\nmethod_output = nonConstructibleChange(coins)\nself.assertEqual(output, method_output)" ]

Class with unittests for Non_ConstructibleChange.py

test_Non_ConstructibleChange

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033012

900

no_license

[ { "docstring": "Sets up input and output.", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Checks if returned output is as expected.", "name": "test_ExpectedOutput", "signature": "def test_ExpectedOutput(self)" } ]

2

null

Implement the Python class `test_Non_ConstructibleChange` described below. Class description: Class with unittests for Non_ConstructibleChange.py Method signatures and docstrings: - def setUp(self): Sets up input and output. - def test_ExpectedOutput(self): Checks if returned output is as expected.

Implement the Python class `test_Non_ConstructibleChange` described below. Class description: Class with unittests for Non_ConstructibleChange.py Method signatures and docstrings: - def setUp(self): Sets up input and output. - def test_ExpectedOutput(self): Checks if returned output is as expected. <|skeleton|> clas...

3aa62ad36c3b06b2a3b05f1f8e2a9e21d68b371f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class test_Non_ConstructibleChange: """Class with unittests for Non_ConstructibleChange.py""" def setUp(self): """Sets up input and output.""" self.coins = [5, 7, 1, 1, 2, 3, 22] self.output = 20 return (self.coins, self.output) def test_ExpectedOutput(self): """Che...

the_stack_v2_python_sparse

AlgoExpert_algorithms/Easy/Non_ConstructibleChange/test_Non_ConstructibleChange.py

JakubKazimierski/PythonPortfolio

train

9

5d01544fb8bcde76c43635f24a7413ac13bc5d9f

[ "body = self.request.body\ntry:\n amount = body['amount']\nexcept KeyError:\n return make_response(success=False, message='Required field amount is not provided.', http_status=HTTPStatus.UNPROCESSABLE_ENTITY)\nvalidation_errors = validate_limit_amount(amount)\nif validation_errors:\n return make_response(s...

<|body_start_0|> body = self.request.body try: amount = body['amount'] except KeyError: return make_response(success=False, message='Required field amount is not provided.', http_status=HTTPStatus.UNPROCESSABLE_ENTITY) validation_errors = validate_limit_amount(amo...

Views to interact with user's budget limit.

LimitView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033013

6,481

permissive

[ { "docstring": "Update user's budget limit.", "name": "put", "signature": "async def put(self)" }, { "docstring": "Delete user's budget limit.", "name": "delete", "signature": "async def delete(self)" } ]

2

stack_v2_sparse_classes_30k_train_002474

Implement the Python class `LimitView` described below. Class description: Views to interact with user's budget limit. Method signatures and docstrings: - async def put(self): Update user's budget limit. - async def delete(self): Delete user's budget limit.

Implement the Python class `LimitView` described below. Class description: Views to interact with user's budget limit. Method signatures and docstrings: - async def put(self): Update user's budget limit. - async def delete(self): Delete user's budget limit. <|skeleton|> class LimitView: """Views to interact with...

16b7154188f08b33f84d88caea217673cf989b2b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LimitView: """Views to interact with user's budget limit.""" async def put(self): """Update user's budget limit.""" body = self.request.body try: amount = body['amount'] except KeyError: return make_response(success=False, message='Required field am...

the_stack_v2_python_sparse

server/app/api/limit.py

SpentlessInc/spentless-server

train

0

c58d7b4c85986f805e555d0334c93b02cf3cac5d

[ "with self.LoggedInUser(admin=True) as admin:\n response = self.testapp.get(self.ROUTE % admin.email)\n output = response.json\n self.assertIn('application/json', response.headers['Content-type'])\n self.assertIsInstance(output, dict)\n self.assertTrue(output['isAdmin'])\n self.assertEqual(output[...

<|body_start_0|> with self.LoggedInUser(admin=True) as admin: response = self.testapp.get(self.ROUTE % admin.email) output = response.json self.assertIn('application/json', response.headers['Content-type']) self.assertIsInstance(output, dict) self.asse...

UserHandlerTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033014

4,472

permissive

[ { "docstring": "Admin getting own information.", "name": "testAdminGetSelf", "signature": "def testAdminGetSelf(self)" }, { "docstring": "Admin getting information on another user.", "name": "testAdminGetOtherUser", "signature": "def testAdminGetOtherUser(self)" }, { "docstring":...

4

stack_v2_sparse_classes_30k_train_005245

Implement the Python class `UserHandlerTest` described below. Class description: Implement the UserHandlerTest class. Method signatures and docstrings: - def testAdminGetSelf(self): Admin getting own information. - def testAdminGetOtherUser(self): Admin getting information on another user. - def testAdminGetUnknownUs...

f5c76a4097ad6f524aa848c073a1ede94ecbfce4

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UserHandlerTest: def testAdminGetSelf(self): """Admin getting own information.""" with self.LoggedInUser(admin=True) as admin: response = self.testapp.get(self.ROUTE % admin.email) output = response.json self.assertIn('application/json', response.headers['Co...

the_stack_v2_python_sparse

upvote/gae/modules/upvote_app/api/web/users_test.py

farmersbusinessnetwork/upvote

train

1

3ffa1ab5111bcafd719be12e336dd19ed70b8eaf

[ "super().__init__(model_dir, *args, **kwargs)\nself.beam_size = 5\nself.config = kwargs.pop('config', Config.from_file(os.path.join(self.model_dir, ModelFile.CONFIGURATION)))\nself.config.model.model_dir = model_dir\nself.grammar = ASDLGrammar.from_filepath(os.path.join(model_dir, 'sql_asdl_v2.txt'))\nself.trans = ...

<|body_start_0|> super().__init__(model_dir, *args, **kwargs) self.beam_size = 5 self.config = kwargs.pop('config', Config.from_file(os.path.join(self.model_dir, ModelFile.CONFIGURATION))) self.config.model.model_dir = model_dir self.grammar = ASDLGrammar.from_filepath(os.path.jo...

StarForTextToSql

[ "Apache-2.0", "BSD-3-Clause", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class StarForTextToSql: def __init__(self, model_dir: str, *args, **kwargs): """initialize the star model from the `model_dir` path. Args: model_dir (str): the model path.""" <|body_0|> def forward(self, input: Dict[str, Tensor]) -> Dict[str, Tensor]: """return the result ...

stack_v2_sparse_classes_36k_train_033015

3,715

permissive

[ { "docstring": "initialize the star model from the `model_dir` path. Args: model_dir (str): the model path.", "name": "__init__", "signature": "def __init__(self, model_dir: str, *args, **kwargs)" }, { "docstring": "return the result by the model Args: input (Dict[str, Tensor]): the preprocessed...

2

null

Implement the Python class `StarForTextToSql` described below. Class description: Implement the StarForTextToSql class. Method signatures and docstrings: - def __init__(self, model_dir: str, *args, **kwargs): initialize the star model from the `model_dir` path. Args: model_dir (str): the model path. - def forward(sel...

8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6

<|skeleton|> class StarForTextToSql: def __init__(self, model_dir: str, *args, **kwargs): """initialize the star model from the `model_dir` path. Args: model_dir (str): the model path.""" <|body_0|> def forward(self, input: Dict[str, Tensor]) -> Dict[str, Tensor]: """return the result ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StarForTextToSql: def __init__(self, model_dir: str, *args, **kwargs): """initialize the star model from the `model_dir` path. Args: model_dir (str): the model path.""" super().__init__(model_dir, *args, **kwargs) self.beam_size = 5 self.config = kwargs.pop('config', Config.fro...

the_stack_v2_python_sparse

ai/modelscope/modelscope/models/nlp/space_T_en/text_to_sql.py

alldatacenter/alldata

train

774

36738bced1a1d1114b719a334c33dd3e8ff5a1d0

[ "with patch('customer_db_schema.Customers.get_or_create') as handle_get:\n handle_get.return_value = [MockCustomer]\n customer = Customers().get_or_create('test')[0]\n self.assertEqual(customer.customer_id, '123')\n self.assertEqual(customer.first_name, 'Amelia')\n self.assertEqual(customer.last_name...

<|body_start_0|> with patch('customer_db_schema.Customers.get_or_create') as handle_get: handle_get.return_value = [MockCustomer] customer = Customers().get_or_create('test')[0] self.assertEqual(customer.customer_id, '123') self.assertEqual(customer.first_name, 'A...

Tests the Customer DB Schema

TestCustomerDBSchema

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033016

19,162

no_license

[ { "docstring": "Validates the fileds in the customer schema", "name": "test_customer_schema_fields", "signature": "def test_customer_schema_fields(self)" }, { "docstring": "Validates saving the customer schema", "name": "test_customer_schema_save", "signature": "def test_customer_schema_...

4

stack_v2_sparse_classes_30k_train_014533

Implement the Python class `TestCustomerDBSchema` described below. Class description: Tests the Customer DB Schema Method signatures and docstrings: - def test_customer_schema_fields(self): Validates the fileds in the customer schema - def test_customer_schema_save(self): Validates saving the customer schema - def te...

5dac60f39e3909ff05b26721d602ed20f14d6be3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestCustomerDBSchema: """Tests the Customer DB Schema""" def test_customer_schema_fields(self): """Validates the fileds in the customer schema""" with patch('customer_db_schema.Customers.get_or_create') as handle_get: handle_get.return_value = [MockCustomer] custom...

the_stack_v2_python_sparse

students/anthony_mckeever/lesson_3/assignment_1/test_unit.py

JavaRod/SP_Python220B_2019

train

1

b648466a80518bce3433b2274d6c9a078e52d50d

[ "self._prices = {const.BDAQID: {}, const.BFID: {}}\nself.newprices = {const.BDAQID: {}, const.BFID: {}}\nself._dbman = database.DBMaster()", "self.newprices = prices\nself._prices.update(prices)\nif prices[const.BDAQID] or prices[const.BFID]:\n bdaqsels = util.flattendict(prices[const.BDAQID])\n bfsels = ut...

<|body_start_0|> self._prices = {const.BDAQID: {}, const.BFID: {}} self.newprices = {const.BDAQID: {}, const.BFID: {}} self._dbman = database.DBMaster() <|end_body_0|> <|body_start_1|> self.newprices = prices self._prices.update(prices) if prices[const.BDAQID] or prices[...

PriceStore

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PriceStore: def __init__(self): """Class for storing latest prices.""" <|body_0|> def add_prices(self, prices): """Add prices to the store. Note this currently gets called by the PricingManager even when prices is {const.BDAQID: {}, const.BFID: {}} (i.e. no prices)""...

stack_v2_sparse_classes_36k_train_033017

1,476

no_license

[ { "docstring": "Class for storing latest prices.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Add prices to the store. Note this currently gets called by the PricingManager even when prices is {const.BDAQID: {}, const.BFID: {}} (i.e. no prices)", "name": "add_pr...

2

stack_v2_sparse_classes_30k_train_017241

Implement the Python class `PriceStore` described below. Class description: Implement the PriceStore class. Method signatures and docstrings: - def __init__(self): Class for storing latest prices. - def add_prices(self, prices): Add prices to the store. Note this currently gets called by the PricingManager even when ...

058d69d7365b771eaaa8f77dead173a1262cccf0

<|skeleton|> class PriceStore: def __init__(self): """Class for storing latest prices.""" <|body_0|> def add_prices(self, prices): """Add prices to the store. Note this currently gets called by the PricingManager even when prices is {const.BDAQID: {}, const.BFID: {}} (i.e. no prices)""...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PriceStore: def __init__(self): """Class for storing latest prices.""" self._prices = {const.BDAQID: {}, const.BFID: {}} self.newprices = {const.BDAQID: {}, const.BFID: {}} self._dbman = database.DBMaster() def add_prices(self, prices): """Add prices to the store. ...

the_stack_v2_python_sparse

core/stores/pricestore.py

jpmit/betman

train

0

34c66274cdb233c734e8edf1826fa119e8bd66b8

[ "mat = spio.loadmat(geo_cfg['room'], struct_as_record=True)\nvertcoord = np.array(mat['geometry']['vertcoord'][0][0])\nself.planes = []\nplanes = mat['geometry']['plane'][0][0][0]\nfor jp, p in enumerate(planes):\n name = 'nameless matlab plane'\n vertices = []\n for v in p[0][0]:\n vertices.append(...

<|body_start_0|> mat = spio.loadmat(geo_cfg['room'], struct_as_record=True) vertcoord = np.array(mat['geometry']['vertcoord'][0][0]) self.planes = [] planes = mat['geometry']['plane'][0][0][0] for jp, p in enumerate(planes): name = 'nameless matlab plane' ...

GeometryMat

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GeometryMat: def __init__(self, geo_cfg, alpha, s): """Set up the room geometry from the .mat file Geometry consists of: Volume, Total ara and an array of plane objects. Each plane object will be processed in a c++ class and have the following att: - name (string) - bounding box (bool) -...

stack_v2_sparse_classes_36k_train_033018

18,836

no_license

[ { "docstring": "Set up the room geometry from the .mat file Geometry consists of: Volume, Total ara and an array of plane objects. Each plane object will be processed in a c++ class and have the following att: - name (string) - bounding box (bool) - list of vertices (Eigen<double> - Nvert x 3) - normal (Eigen<d...

3

stack_v2_sparse_classes_30k_train_004199

Implement the Python class `GeometryMat` described below. Class description: Implement the GeometryMat class. Method signatures and docstrings: - def __init__(self, geo_cfg, alpha, s): Set up the room geometry from the .mat file Geometry consists of: Volume, Total ara and an array of plane objects. Each plane object ...

345be1496d2c3f59f0aaa3594977f495c80f50e3

<|skeleton|> class GeometryMat: def __init__(self, geo_cfg, alpha, s): """Set up the room geometry from the .mat file Geometry consists of: Volume, Total ara and an array of plane objects. Each plane object will be processed in a c++ class and have the following att: - name (string) - bounding box (bool) -...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GeometryMat: def __init__(self, geo_cfg, alpha, s): """Set up the room geometry from the .mat file Geometry consists of: Volume, Total ara and an array of plane objects. Each plane object will be processed in a c++ class and have the following att: - name (string) - bounding box (bool) - list of verti...

the_stack_v2_python_sparse

ra/room.py

pokjnb/ra

train

0

bd1732e004337edca9b21cc9aea9d159b65b5a46

[ "try:\n existing_reaction = UserReactionOnComment.objects.get(comment=comment, user=profile)\n existing_reaction.delete()\nexcept UserReactionOnComment.DoesNotExist:\n pass\ndata = {'comment': comment.id, 'user': profile, 'reaction': reaction}\nserializer = self.serializer_class(data=data)\nserializer.is_v...

<|body_start_0|> try: existing_reaction = UserReactionOnComment.objects.get(comment=comment, user=profile) existing_reaction.delete() except UserReactionOnComment.DoesNotExist: pass data = {'comment': comment.id, 'user': profile, 'reaction': reaction} ...

Define the view for UserReactionOnComment

UserReactionOnCommentView

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033019

6,152

permissive

[ { "docstring": "Helper method to set the reaction", "name": "set_reaction", "signature": "def set_reaction(self, comment, profile, reaction)" }, { "docstring": "Post a new comment reaction", "name": "post", "signature": "def post(self, request)" }, { "docstring": "View the reacti...

3

stack_v2_sparse_classes_30k_train_005776

Implement the Python class `UserReactionOnCommentView` described below. Class description: Define the view for UserReactionOnComment Method signatures and docstrings: - def set_reaction(self, comment, profile, reaction): Helper method to set the reaction - def post(self, request): Post a new comment reaction - def ge...

a304718929936dd4a759d737fb3570d6cc25fb76

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UserReactionOnCommentView: """Define the view for UserReactionOnComment""" def set_reaction(self, comment, profile, reaction): """Helper method to set the reaction""" try: existing_reaction = UserReactionOnComment.objects.get(comment=comment, user=profile) existing...

the_stack_v2_python_sparse

authors/apps/user_comment_reaction/views.py

andela/ah-jumanji

train

1

87f7415183b5b25a30305cc43ec755ab278519a8

[ "if not isinstance(player_instance, Player):\n logger.error('encode_player_to_dict: Passed non-player object')\nname = player_instance.name\ntotal_correct = player_instance._total_correct\ntotal_incorrect = player_instance._total_incorrect\nanswered_tables = player_instance._answered_tables\ntimes_tables_info...

<|body_start_0|> if not isinstance(player_instance, Player): logger.error('encode_player_to_dict: Passed non-player object') name = player_instance.name total_correct = player_instance._total_correct total_incorrect = player_instance._total_incorrect answered_table...

Utility class to save & load the player instance from json.

PlayerEncoder

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PlayerEncoder: """Utility class to save & load the player instance from json.""" def encode_player_to_dict(player_instance: object) -> dict: """Encodes the player class as a dictionary.""" <|body_0|> def decode_dict_to_player(player_dict: dict) -> object: """Retu...

stack_v2_sparse_classes_36k_train_033020

4,378

permissive

[ { "docstring": "Encodes the player class as a dictionary.", "name": "encode_player_to_dict", "signature": "def encode_player_to_dict(player_instance: object) -> dict" }, { "docstring": "Returns player object with player_dict values.", "name": "decode_dict_to_player", "signature": "def de...

2

null

Implement the Python class `PlayerEncoder` described below. Class description: Utility class to save & load the player instance from json. Method signatures and docstrings: - def encode_player_to_dict(player_instance: object) -> dict: Encodes the player class as a dictionary. - def decode_dict_to_player(player_dict: ...

1072dea1a5be0b339211ff39db6a89a90aca64c1

<|skeleton|> class PlayerEncoder: """Utility class to save & load the player instance from json.""" def encode_player_to_dict(player_instance: object) -> dict: """Encodes the player class as a dictionary.""" <|body_0|> def decode_dict_to_player(player_dict: dict) -> object: """Retu...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PlayerEncoder: """Utility class to save & load the player instance from json.""" def encode_player_to_dict(player_instance: object) -> dict: """Encodes the player class as a dictionary.""" if not isinstance(player_instance, Player): logger.error('encode_player_to_dict: Pass...

the_stack_v2_python_sparse

1_code/players/player_encoder.py

jaimiles23/Multiplication-Medley

train

0

229316925710ccb5015c4660d6e8ed805ca32e99

[ "super().__init__()\nself._block_args = block_args\nself._ensemble_size = ensemble_size\nself._random_sign_init = random_sign_init\nself._batch_norm_momentum = batch_norm_momentum\nself._batch_norm_epsilon = batch_norm_epsilon\nself._batch_norm = batch_norm\nself._data_format = data_format\nif self._data_format == ...

<|body_start_0|> super().__init__() self._block_args = block_args self._ensemble_size = ensemble_size self._random_sign_init = random_sign_init self._batch_norm_momentum = batch_norm_momentum self._batch_norm_epsilon = batch_norm_epsilon self._batch_norm = batch_n...

A class of MBConv: Mobile Inverted Residual Bottleneck.

MBConvBlock

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MBConvBlock: """A class of MBConv: Mobile Inverted Residual Bottleneck.""" def __init__(self, block_args, ensemble_size, random_sign_init, batch_norm_momentum, batch_norm_epsilon, batch_norm, data_format, relu_fn, use_se, clip_projection_output): """Initializes a MBConv block. Args: ...

stack_v2_sparse_classes_36k_train_033021

17,450

permissive

[ { "docstring": "Initializes a MBConv block. Args: block_args: BlockArgs, arguments to create a Block. ensemble_size: Size of ensemble. random_sign_init: Probability/stddev for fast weight initialization. batch_norm_momentum: Momentum for batch normalization. batch_norm_epsilon: Epsilon for batch normalization. ...

3

null

Implement the Python class `MBConvBlock` described below. Class description: A class of MBConv: Mobile Inverted Residual Bottleneck. Method signatures and docstrings: - def __init__(self, block_args, ensemble_size, random_sign_init, batch_norm_momentum, batch_norm_epsilon, batch_norm, data_format, relu_fn, use_se, cl...

f5f6f50f82bd441339c9d9efbef3f09e72c5fef6

<|skeleton|> class MBConvBlock: """A class of MBConv: Mobile Inverted Residual Bottleneck.""" def __init__(self, block_args, ensemble_size, random_sign_init, batch_norm_momentum, batch_norm_epsilon, batch_norm, data_format, relu_fn, use_se, clip_projection_output): """Initializes a MBConv block. Args: ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MBConvBlock: """A class of MBConv: Mobile Inverted Residual Bottleneck.""" def __init__(self, block_args, ensemble_size, random_sign_init, batch_norm_momentum, batch_norm_epsilon, batch_norm, data_format, relu_fn, use_se, clip_projection_output): """Initializes a MBConv block. Args: block_args: B...

the_stack_v2_python_sparse

uncertainty_baselines/models/efficientnet_batch_ensemble.py

google/uncertainty-baselines

train

1,235

9702d42418b855b14e020ad1874da9f9f89b65d9

[ "self.link_lengths = link_lengths\nself.shoulder_anchor = shoulder_anchor\nsuper(CenterOutCursorGoalJointSpace2D, self).__init__(*args, **kwargs)", "vx, vz = super(CenterOutCursorGoalJointSpace2D, self).get(cur_target, cur_pos, keys_pressed)\nvy = 0\npx, py, pz = cur_pos\npos = np.array([px, py, pz]) - self.shoul...

2-link arm controller which moves the endpoint toward a target position at a constant speed

CenterOutCursorGoalJointSpace2D

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CenterOutCursorGoalJointSpace2D: """2-link arm controller which moves the endpoint toward a target position at a constant speed""" def __init__(self, link_lengths, shoulder_anchor, *args, **kwargs): """Constructor for CenterOutCursorGoalJointSpace2D Parameters ---------- link_lengths...

stack_v2_sparse_classes_36k_train_033022

12,992

permissive

[ { "docstring": "Constructor for CenterOutCursorGoalJointSpace2D Parameters ---------- link_lengths: shoulder_anchor: args, kwargs: positional and keyword arguments for parent constructor (CenterOutCursorGoal) Returns -------", "name": "__init__", "signature": "def __init__(self, link_lengths, shoulder_a...

2

null

Implement the Python class `CenterOutCursorGoalJointSpace2D` described below. Class description: 2-link arm controller which moves the endpoint toward a target position at a constant speed Method signatures and docstrings: - def __init__(self, link_lengths, shoulder_anchor, *args, **kwargs): Constructor for CenterOut...

a0e296aa663b49e767c9ebb274defb54b301eb12

<|skeleton|> class CenterOutCursorGoalJointSpace2D: """2-link arm controller which moves the endpoint toward a target position at a constant speed""" def __init__(self, link_lengths, shoulder_anchor, *args, **kwargs): """Constructor for CenterOutCursorGoalJointSpace2D Parameters ---------- link_lengths...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CenterOutCursorGoalJointSpace2D: """2-link arm controller which moves the endpoint toward a target position at a constant speed""" def __init__(self, link_lengths, shoulder_anchor, *args, **kwargs): """Constructor for CenterOutCursorGoalJointSpace2D Parameters ---------- link_lengths: shoulder_an...

the_stack_v2_python_sparse

riglib/bmi/feedback_controllers.py

carmenalab/brain-python-interface

train

9

ccf7fab39ea86bb8585f01ce4d371da31e239ca8

[ "sorted_nums = sorted(nums)\nmedian = math.ceil(len(nums) / 2 - 1)\nfor i in range(len(nums)):\n if i % 2 == 0:\n nums[i] = sorted_nums[i // 2]\n else:\n nums[i] = sorted_nums[median + 1 + i // 2]", "nums.sort()\ni = 1\nwhile i < len(nums) - 1:\n nums[i], nums[i + 1] = (nums[i + 1], nums[i]...

<|body_start_0|> sorted_nums = sorted(nums) median = math.ceil(len(nums) / 2 - 1) for i in range(len(nums)): if i % 2 == 0: nums[i] = sorted_nums[i // 2] else: nums[i] = sorted_nums[median + 1 + i // 2] <|end_body_0|> <|body_start_1|> ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033023

2,246

no_license

[ { "docstring": "Do not return anything, modify nums in-place instead.", "name": "wiggleSort2", "signature": "def wiggleSort2(self, nums) -> None" }, { "docstring": "Do not return anything, modify nums in-place instead.", "name": "wiggleSort3", "signature": "def wiggleSort3(self, nums) ->...

3

stack_v2_sparse_classes_30k_train_005969

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wiggleSort2(self, nums) -> None: Do not return anything, modify nums in-place instead. - def wiggleSort3(self, nums) -> None: Do not return anything, modify nums in-place ins...

fd4d84d5155be7dac1dde38429b1588cdf392529

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def wiggleSort2(self, nums) -> None: """Do not return anything, modify nums in-place instead.""" sorted_nums = sorted(nums) median = math.ceil(len(nums) / 2 - 1) for i in range(len(nums)): if i % 2 == 0: nums[i] = sorted_nums[i // 2] ...

the_stack_v2_python_sparse

280-WiggleSort.py

hsuweibo/lc-problems

train

0

620415da001681feec33561b8fdb3823e6350b8f

[ "if self.sign_key:\n self.sign_key = self.load_key(self.sign_key, self.sign_key_pass)\nif self.decrypt_key:\n self.decrypt_key = self.load_key(self.decrypt_key, self.decrypt_key_pass)", "try:\n key, cert, _ = asymmetric.load_pkcs12(key_str, key_pass)\nexcept ValueError as e:\n if e.args[0] == 'Passwor...

Class represents an AS2 organization and defines the certificates and settings to be used when sending and receiving messages. :param id: The unique integer id of record in table {Odoo} :param as2_name: The unique AS2 name for this organization :param sign_key: A byte string of the pkcs12 encoded key pair used for sign...

Organization

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Organization: """Class represents an AS2 organization and defines the certificates and settings to be used when sending and receiving messages. :param id: The unique integer id of record in table {Odoo} :param as2_name: The unique AS2 name for this organization :param sign_key: A byte string of t...

stack_v2_sparse_classes_36k_train_033024

38,358

no_license

[ { "docstring": "Run the post initialisation checks for this class.", "name": "__post_init__", "signature": "def __post_init__(self)" }, { "docstring": "Function to load password protected key file in p12 or pem format.", "name": "load_key", "signature": "def load_key(key_str: bytes, key_...

2

stack_v2_sparse_classes_30k_train_000346

Implement the Python class `Organization` described below. Class description: Class represents an AS2 organization and defines the certificates and settings to be used when sending and receiving messages. :param id: The unique integer id of record in table {Odoo} :param as2_name: The unique AS2 name for this organizat...

e563e15d81d0bf77a99b15290ee6e4b18daf1476

<|skeleton|> class Organization: """Class represents an AS2 organization and defines the certificates and settings to be used when sending and receiving messages. :param id: The unique integer id of record in table {Odoo} :param as2_name: The unique AS2 name for this organization :param sign_key: A byte string of t...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Organization: """Class represents an AS2 organization and defines the certificates and settings to be used when sending and receiving messages. :param id: The unique integer id of record in table {Odoo} :param as2_name: The unique AS2 name for this organization :param sign_key: A byte string of the pkcs12 enc...

the_stack_v2_python_sparse

tools_edi_as2/pyas2lib/as2.py

afzal44/my_new_work

train

0

dd8936693b5bf6ca6f798326144b82cd1d987753

[ "if not s:\n return []\nfrom collections import Counter as cc\nresult = []\np_len = len(p)\npc = cc(p)\ntmp_cc = cc()\nfor i in range(len(s)):\n tmp_cc.update([s[i]])\n if i >= p_len - 1:\n if pc == tmp_cc:\n result += (i - p_len + 1,)\n tmp_cc.subtract([s[i - p_len + 1]])\nreturn ...

<|body_start_0|> if not s: return [] from collections import Counter as cc result = [] p_len = len(p) pc = cc(p) tmp_cc = cc() for i in range(len(s)): tmp_cc.update([s[i]]) if i >= p_len - 1: if pc == tmp_cc: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033025

2,356

no_license

[ { "docstring": ":type s: str :type p: str :rtype: List[int] looking for signature.", "name": "findAnagrams", "signature": "def findAnagrams(self, s, p)" }, { "docstring": ":type s: str :type p: str :rtype: List[int] looking for signature.", "name": "rewrite", "signature": "def rewrite(se...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findAnagrams(self, s, p): :type s: str :type p: str :rtype: List[int] looking for signature. - def rewrite(self, s, p): :type s: str :type p: str :rtype: List[int] looking fo...

6350568d16b0f8c49a020f055bb6d72e2705ea56

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findAnagrams(self, s, p): """:type s: str :type p: str :rtype: List[int] looking for signature.""" if not s: return [] from collections import Counter as cc result = [] p_len = len(p) pc = cc(p) tmp_cc = cc() for i in ra...

the_stack_v2_python_sparse

co_amazon/438_Find_All_Anagrams_in_a_String.py

vsdrun/lc_public

train

6

cf60cec2b85ed9865c4b452f7df346b238c88bcd

[ "n = len(nums)\nl, r = (0, n - 1)\n\ndef getMissingCnt(nums, idx):\n return nums[idx] - nums[0] + 1 - (idx - 0 + 1)\nwhile l <= r:\n mid = l + (r - l) // 2\n missingCnt = getMissingCnt(nums, mid)\n if missingCnt > k:\n r = mid - 1\n elif missingCnt < k:\n l = mid + 1\n elif missingCn...

<|body_start_0|> n = len(nums) l, r = (0, n - 1) def getMissingCnt(nums, idx): return nums[idx] - nums[0] + 1 - (idx - 0 + 1) while l <= r: mid = l + (r - l) // 2 missingCnt = getMissingCnt(nums, mid) if missingCnt > k: r =...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def missingElement(self, nums: List[int], k: int) -> int: """一次性二分, missing counting 二分的时候算""" <|body_0|> def missingElement2(self, nums: List[int], k: int) -> int: """https://leetcode-cn.com/problems/missing-element-in-sorted-array/solution/you-xu-shu-zu-z...

stack_v2_sparse_classes_36k_train_033026

8,259

no_license

[ { "docstring": "一次性二分, missing counting 二分的时候算", "name": "missingElement", "signature": "def missingElement(self, nums: List[int], k: int) -> int" }, { "docstring": "https://leetcode-cn.com/problems/missing-element-in-sorted-array/solution/you-xu-shu-zu-zhong-de-que-shi-yuan-su-by-leetcode/ 更容易理...

3

stack_v2_sparse_classes_30k_train_010534

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def missingElement(self, nums: List[int], k: int) -> int: 一次性二分, missing counting 二分的时候算 - def missingElement2(self, nums: List[int], k: int) -> int: https://leetcode-cn.com/prob...

29f1bd681ae823ec6fe755c8f91bfe1ca80b6367

<|skeleton|> class Solution: def missingElement(self, nums: List[int], k: int) -> int: """一次性二分, missing counting 二分的时候算""" <|body_0|> def missingElement2(self, nums: List[int], k: int) -> int: """https://leetcode-cn.com/problems/missing-element-in-sorted-array/solution/you-xu-shu-zu-z...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def missingElement(self, nums: List[int], k: int) -> int: """一次性二分, missing counting 二分的时候算""" n = len(nums) l, r = (0, n - 1) def getMissingCnt(nums, idx): return nums[idx] - nums[0] + 1 - (idx - 0 + 1) while l <= r: mid = l + (r - l)...

the_stack_v2_python_sparse

1. solvedProblems/1060. Missing Element in Sorted Array/1060.py

tgaochn/leetcode

train

1

e5ebd27549b6c06a06ea864f3e9d02364f0a05b7

[ "if type(network_distribution) is not type(known_distribution):\n raise TypeError('Input distributions must be of same type')\nif isinstance(network_distribution, dict):\n if network_distribution.keys() != known_distribution.keys():\n for key in list(network_distribution.keys()):\n if key no...

<|body_start_0|> if type(network_distribution) is not type(known_distribution): raise TypeError('Input distributions must be of same type') if isinstance(network_distribution, dict): if network_distribution.keys() != known_distribution.keys(): for key in list(netw...

Class of metrics/distances (norms) between probability distributions

Metrics

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Metrics: """Class of metrics/distances (norms) between probability distributions""" def __init__(self, network_distribution, known_distribution): """Initializes a metric to compare distance between network and known (data) distribution. Args: network_distribution : dict or np.ndarray...

stack_v2_sparse_classes_36k_train_033027

11,971

permissive

[ { "docstring": "Initializes a metric to compare distance between network and known (data) distribution. Args: network_distribution : dict or np.ndarray Output probability distribution from network circuit. known_distribution : dict or np.ndarray Actual probability distribution from data.", "name": "__init__...

5

stack_v2_sparse_classes_30k_train_003411

Implement the Python class `Metrics` described below. Class description: Class of metrics/distances (norms) between probability distributions Method signatures and docstrings: - def __init__(self, network_distribution, known_distribution): Initializes a metric to compare distance between network and known (data) dist...

5fe919f100f54310a9300b32a838f965f834bbdf

<|skeleton|> class Metrics: """Class of metrics/distances (norms) between probability distributions""" def __init__(self, network_distribution, known_distribution): """Initializes a metric to compare distance between network and known (data) distribution. Args: network_distribution : dict or np.ndarray...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Metrics: """Class of metrics/distances (norms) between probability distributions""" def __init__(self, network_distribution, known_distribution): """Initializes a metric to compare distance between network and known (data) distribution. Args: network_distribution : dict or np.ndarray Output proba...

the_stack_v2_python_sparse

src/nisqai/cost/_classical_costs.py

rmlarose/nisqai-dev

train

15

aeb7faa37bcf6f39d899933445f5c230f972a6b1

[ "self = object.__new__(cls)\nself.name = cls.DEFAULT_NAME\nself.metadata_type = None\nself.INSTANCES[value] = self\nreturn self", "self.name = name\nself.value = value\nself.metadata_type = metadata_type\nself.INSTANCES[value] = self" ]

Represents a scheduled event's entity's type. Attributes ---------- name : `str` The name of the scheduled event's entity's type. value : `int` The identifier value the scheduled event's entity type. metadata_type : `None`, ``ScheduledEventEntityMetadata`` subclass The scheduled event's metadata's applicable type. Clas...

ScheduledEventEntityType

[ "LicenseRef-scancode-warranty-disclaimer" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ScheduledEventEntityType: """Represents a scheduled event's entity's type. Attributes ---------- name : `str` The name of the scheduled event's entity's type. value : `int` The identifier value the scheduled event's entity type. metadata_type : `None`, ``ScheduledEventEntityMetadata`` subclass Th...

stack_v2_sparse_classes_36k_train_033028

7,142

permissive

[ { "docstring": "Creates a scheduled event entity type from the given id and stores it at class's `.INSTANCES`. Called by `.get` when no scheduled event entity type was found with the given id. Parameters ---------- value : `int` The identifier of the scheduled event entity type. Returns ------- self : `instance...

2

stack_v2_sparse_classes_30k_val_000490

Implement the Python class `ScheduledEventEntityType` described below. Class description: Represents a scheduled event's entity's type. Attributes ---------- name : `str` The name of the scheduled event's entity's type. value : `int` The identifier value the scheduled event's entity type. metadata_type : `None`, ``Sch...

53f24fdb38459dc5a4fd04f11bdbfee8295b76a4

<|skeleton|> class ScheduledEventEntityType: """Represents a scheduled event's entity's type. Attributes ---------- name : `str` The name of the scheduled event's entity's type. value : `int` The identifier value the scheduled event's entity type. metadata_type : `None`, ``ScheduledEventEntityMetadata`` subclass Th...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ScheduledEventEntityType: """Represents a scheduled event's entity's type. Attributes ---------- name : `str` The name of the scheduled event's entity's type. value : `int` The identifier value the scheduled event's entity type. metadata_type : `None`, ``ScheduledEventEntityMetadata`` subclass The scheduled e...

the_stack_v2_python_sparse

hata/discord/scheduled_event/scheduled_event/preinstanced.py

HuyaneMatsu/hata

train

3

b832c3653ade528abe1c3d78914c59a19712d23d

[ "if N < 2:\n return N\nreturn self.fib(N - 1) + self.fib(N - 2)", "if N < 2:\n return N\na, b = (0, 1)\nfor _ in range(1, N):\n a, b = (b, a + b)\nreturn b", "cache = {0: 0, 1: 1}\n\ndef fibo_rec(n):\n if n in cache:\n return cache[n]\n res = fibo_rec(n - 1) + fibo_rec(n - 2)\n cache[n]...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def fib(self, N: 'int') -> 'int': """Runtime: 740 ms, faster than 28.75% of Python3. Memory Usage: 12.4 MB, less than 100.00% of Python3.""" <|body_0|> def fib2(self, N): """Runtime: 32 ms, faster than 100.00% of Python3. Memory Usage: 12.5 MB, less than 10...

stack_v2_sparse_classes_36k_train_033029

1,846

permissive

[ { "docstring": "Runtime: 740 ms, faster than 28.75% of Python3. Memory Usage: 12.4 MB, less than 100.00% of Python3.", "name": "fib", "signature": "def fib(self, N: 'int') -> 'int'" }, { "docstring": "Runtime: 32 ms, faster than 100.00% of Python3. Memory Usage: 12.5 MB, less than 100.00% of Pyt...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def fib(self, N: 'int') -> 'int': Runtime: 740 ms, faster than 28.75% of Python3. Memory Usage: 12.4 MB, less than 100.00% of Python3. - def fib2(self, N): Runtime: 32 ms, faster...

9f66d352c805fcdd9930aaa18c93d7546768287c

<|skeleton|> class Solution: def fib(self, N: 'int') -> 'int': """Runtime: 740 ms, faster than 28.75% of Python3. Memory Usage: 12.4 MB, less than 100.00% of Python3.""" <|body_0|> def fib2(self, N): """Runtime: 32 ms, faster than 100.00% of Python3. Memory Usage: 12.5 MB, less than 10...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def fib(self, N: 'int') -> 'int': """Runtime: 740 ms, faster than 28.75% of Python3. Memory Usage: 12.4 MB, less than 100.00% of Python3.""" if N < 2: return N return self.fib(N - 1) + self.fib(N - 2) def fib2(self, N): """Runtime: 32 ms, faster than ...

the_stack_v2_python_sparse

easy/509_fibonacci_number.py

niki4/leetcode_py3

train

0

68d3c1715df5337f128cf3ba96c3cd436ca539d8

[ "tp = 1\nfp = 1\nself.assertEqual(precision(tp, fp), Decimal('0.5'))\ntp = 1\nfp = 3\nself.assertEqual(precision(tp, fp), Decimal('0.25'))\ntp = 6\nfp = 2\nself.assertEqual(precision(tp, fp), Decimal('0.75'))\ntp = 0\nfp = 2\nself.assertEqual(precision(tp, fp), Decimal('0'))\ntp = 2\nfp = 0\nself.assertEqual(precis...

<|body_start_0|> tp = 1 fp = 1 self.assertEqual(precision(tp, fp), Decimal('0.5')) tp = 1 fp = 3 self.assertEqual(precision(tp, fp), Decimal('0.25')) tp = 6 fp = 2 self.assertEqual(precision(tp, fp), Decimal('0.75')) tp = 0 fp = 2 ...

Machine-learning metric tests.

TestML

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033030

4,841

permissive

[ { "docstring": "Test precision.", "name": "test_precision", "signature": "def test_precision(self)" }, { "docstring": "Test recall.", "name": "test_recall", "signature": "def test_recall(self)" }, { "docstring": "Test F-Score with a beta of 1.0, 0.5, or 2.0.", "name": "test_f...

5

stack_v2_sparse_classes_30k_train_014054

Implement the Python class `TestML` described below. Class description: Machine-learning metric tests. Method signatures and docstrings: - def test_precision(self): Test precision. - def test_recall(self): Test recall. - def test_f1(self): Test F-Score with a beta of 1.0, 0.5, or 2.0. - def test_confusion_matrix(self...

b7eddc9067fc773f3d040dd5eef33dabac07abc0

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestML: """Machine-learning metric tests.""" def test_precision(self): """Test precision.""" tp = 1 fp = 1 self.assertEqual(precision(tp, fp), Decimal('0.5')) tp = 1 fp = 3 self.assertEqual(precision(tp, fp), Decimal('0.25')) tp = 6 ...

the_stack_v2_python_sparse

src/python/main/segeval/ml/Test.py

anna-ka/segmentation.evaluation

train

1

3b1eb63c7c5b22c4c784c696ff03a3b0f8430efc

[ "number = ''.join((c for c in number if c.isnumeric()))\nif len(number) == number_length:\n return number\nreturn None", "number = number.replace(' ', '')\nresult = re.match('^[0-9]+$', number)\nif not result:\n return True\nreturn False", "ni_nuber = re.match('^\\\\s*[a-zA-Z]{2}(?:\\\\s*\\\\d\\\\s*){6}[a...

NumberLengthValidator

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033031

1,349

permissive

[ { "docstring": "Return a normalised NHS number if valid, or None if not,", "name": "normalise_number", "signature": "def normalise_number(number, number_length)" }, { "docstring": "Return a normalised NHS number if valid, or None if not,", "name": "number_only", "signature": "def number_...

3

stack_v2_sparse_classes_30k_train_006571

Implement the Python class `NumberLengthValidator` described below. Class description: Implement the NumberLengthValidator class. Method signatures and docstrings: - def normalise_number(number, number_length): Return a normalised NHS number if valid, or None if not, - def number_only(number): Return a normalised NHS...

ad049db27650e850742a3bd466f96d36a3420589

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NumberLengthValidator: def normalise_number(number, number_length): """Return a normalised NHS number if valid, or None if not,""" number = ''.join((c for c in number if c.isnumeric())) if len(number) == number_length: return number return None def number_only(...

the_stack_v2_python_sparse

ndopapp/main/ndop_validator.py

uk-gov-mirror/nhsconnect.ndop-nojs

train

0

5b1ef5fd6c7696f62358d1765a07c5d4915cdd5e

[ "import re\ninput = re.split('(\\\\+|\\\\-|\\\\*|\\\\/)', input)\nn = len(input)\ndp = [[[] for _ in xrange(n)] for _ in xrange(n)]\nfor i in xrange(1, n + 1, 2):\n for j in xrange(0, n + 1 - i, 2):\n if i == 1:\n dp[j][j + i - 1].append(eval(input[j]))\n else:\n for k in xran...

<|body_start_0|> import re input = re.split('(\\+|\\-|\\*|\\/)', input) n = len(input) dp = [[[] for _ in xrange(n)] for _ in xrange(n)] for i in xrange(1, n + 1, 2): for j in xrange(0, n + 1 - i, 2): if i == 1: dp[j][j + i - 1].app...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033032

2,376

permissive

[ { "docstring": "define dp[i][j] is the result from the expression from i to j dp[j][j]=input[j] for j in odd position", "name": "diffWaysToCompute", "signature": "def diffWaysToCompute(self, input)" }, { "docstring": ":type input: str :rtype: List[int]", "name": "diffWaysToCompute_rec", ...

2

stack_v2_sparse_classes_30k_train_010603

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def diffWaysToCompute(self, input): define dp[i][j] is the result from the expression from i to j dp[j][j]=input[j] for j in odd position - def diffWaysToCompute_rec(self, input)...

86f1cb98de801f58c39d9a48ce9de12df7303d20

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def diffWaysToCompute(self, input): """define dp[i][j] is the result from the expression from i to j dp[j][j]=input[j] for j in odd position""" import re input = re.split('(\\+|\\-|\\*|\\/)', input) n = len(input) dp = [[[] for _ in xrange(n)] for _ in xrange(...

the_stack_v2_python_sparse

241-Different-Ways-to-Add-Parentheses/solution.py

Tanych/CodeTracking

train

0

0f3df79cfd3f9e907a37378324754d340005be10

[ "super().__init__(offset)\nif shadow_color is None:\n self._shadow_color = shadow_color\nelse:\n self._shadow_color = mcolors.to_rgba(shadow_color)\nself._alpha = alpha\nself._rho = rho\nself._gc = kwargs", "gc0 = renderer.new_gc()\ngc0.copy_properties(gc)\nif self._shadow_color is None:\n r, g, b = (gc0...

<|body_start_0|> super().__init__(offset) if shadow_color is None: self._shadow_color = shadow_color else: self._shadow_color = mcolors.to_rgba(shadow_color) self._alpha = alpha self._rho = rho self._gc = kwargs <|end_body_0|> <|body_start_1|> ...

A simple shadow via a line.

SimpleLineShadow

[ "CC0-1.0", "BSD-3-Clause", "MIT", "Bitstream-Charter", "LicenseRef-scancode-warranty-disclaimer", "LicenseRef-scancode-bakoma-fonts-1995", "LicenseRef-scancode-unknown-license-reference", "OFL-1.1", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SimpleLineShadow: """A simple shadow via a line.""" def __init__(self, offset=(2, -2), shadow_color='k', alpha=0.3, rho=0.3, **kwargs): """Parameters ---------- offset : (float, float), default: (2, -2) The (x, y) offset to apply to the path, in points. shadow_color : color, default:...

stack_v2_sparse_classes_36k_train_033033

18,595

permissive

[ { "docstring": "Parameters ---------- offset : (float, float), default: (2, -2) The (x, y) offset to apply to the path, in points. shadow_color : color, default: 'black' The shadow color. A value of ``None`` takes the original artist's color with a scale factor of *rho*. alpha : float, default: 0.3 The alpha tr...

2

null

Implement the Python class `SimpleLineShadow` described below. Class description: A simple shadow via a line. Method signatures and docstrings: - def __init__(self, offset=(2, -2), shadow_color='k', alpha=0.3, rho=0.3, **kwargs): Parameters ---------- offset : (float, float), default: (2, -2) The (x, y) offset to app...

f5042e35b945aded77b23470ead62d7eacefde92

<|skeleton|> class SimpleLineShadow: """A simple shadow via a line.""" def __init__(self, offset=(2, -2), shadow_color='k', alpha=0.3, rho=0.3, **kwargs): """Parameters ---------- offset : (float, float), default: (2, -2) The (x, y) offset to apply to the path, in points. shadow_color : color, default:...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SimpleLineShadow: """A simple shadow via a line.""" def __init__(self, offset=(2, -2), shadow_color='k', alpha=0.3, rho=0.3, **kwargs): """Parameters ---------- offset : (float, float), default: (2, -2) The (x, y) offset to apply to the path, in points. shadow_color : color, default: 'black' The ...

the_stack_v2_python_sparse

contrib/python/matplotlib/py3/matplotlib/patheffects.py

catboost/catboost

train

8,012

8202b65efd2e9414410d73fc04decc39c5fd5749

[ "if not graph.is_directed():\n raise ValueError('the graph is not directed')\nself.graph = graph\nself.distance = dict()\nfor source in self.graph.iternodes():\n self.distance[source] = dict()\n for target in self.graph.iternodes():\n self.distance[source][target] = float('inf')\n self.distance[s...

<|body_start_0|> if not graph.is_directed(): raise ValueError('the graph is not directed') self.graph = graph self.distance = dict() for source in self.graph.iternodes(): self.distance[source] = dict() for target in self.graph.iternodes(): ...

The Floyd-Warshall algorithm (all-pairs shortest paths). Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graphtheory.structures.graphs import Graph >>> from graphtheory.shortes...

FloydWarshall

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FloydWarshall: """The Floyd-Warshall algorithm (all-pairs shortest paths). Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graphtheory.structures.graphs ...

stack_v2_sparse_classes_36k_train_033034

7,754

permissive

[ { "docstring": "The algorithm initialization. Parameters ---------- graph : directed weighted graph", "name": "__init__", "signature": "def __init__(self, graph)" }, { "docstring": "Finding all shortest paths.", "name": "run", "signature": "def run(self)" } ]

2

stack_v2_sparse_classes_30k_train_015058

Implement the Python class `FloydWarshall` described below. Class description: The Floyd-Warshall algorithm (all-pairs shortest paths). Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge ...

0ff4ae303e8824e6bb8474d23b29a7b3e5ed8e60

<|skeleton|> class FloydWarshall: """The Floyd-Warshall algorithm (all-pairs shortest paths). Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graphtheory.structures.graphs ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FloydWarshall: """The Floyd-Warshall algorithm (all-pairs shortest paths). Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graphtheory.structures.graphs import Graph ...

the_stack_v2_python_sparse

graphtheory/shortestpaths/floydwarshall.py

kgashok/graphs-dict

train

0

e0872f3505fff212efa78d8440a7709f3f9e2565

[ "env.filters['basename'] = os.path.basename\nenv.filters['dirname'] = os.path.dirname\nenv.filters['splitext'] = os.path.splitext\nenv.filters['combine'] = combine\nenv.filters['as_dict'] = as_dict\nenv.filters['ternary'] = ternary\nenv.globals['gpu_count'] = gpu_count\nenv.globals['load_json'] = create_load_json(s...

<|body_start_0|> env.filters['basename'] = os.path.basename env.filters['dirname'] = os.path.dirname env.filters['splitext'] = os.path.splitext env.filters['combine'] = combine env.filters['as_dict'] = as_dict env.filters['ternary'] = ternary env.globals['gpu_coun...

An evaluation engine which uses Jinja2 for templating.

JinjaEngine

[ "Apache-2.0", "Python-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class JinjaEngine: """An evaluation engine which uses Jinja2 for templating.""" def register_custom_filters(self, env): """Adds our custom filters to the Jinja2 engine. Arguments --------- env: jinja2.Environment instance. The environment to add the custom filters to.""" <|body_0|>...

stack_v2_sparse_classes_36k_train_033035

6,185

permissive

[ { "docstring": "Adds our custom filters to the Jinja2 engine. Arguments --------- env: jinja2.Environment instance. The environment to add the custom filters to.", "name": "register_custom_filters", "signature": "def register_custom_filters(self, env)" }, { "docstring": "Creates a new Jinja2 tem...

3

stack_v2_sparse_classes_30k_train_007804

Implement the Python class `JinjaEngine` described below. Class description: An evaluation engine which uses Jinja2 for templating. Method signatures and docstrings: - def register_custom_filters(self, env): Adds our custom filters to the Jinja2 engine. Arguments --------- env: jinja2.Environment instance. The enviro...

fd0c120e50815c1e5be64e5dde964dcd47234556

<|skeleton|> class JinjaEngine: """An evaluation engine which uses Jinja2 for templating.""" def register_custom_filters(self, env): """Adds our custom filters to the Jinja2 engine. Arguments --------- env: jinja2.Environment instance. The environment to add the custom filters to.""" <|body_0|>...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class JinjaEngine: """An evaluation engine which uses Jinja2 for templating.""" def register_custom_filters(self, env): """Adds our custom filters to the Jinja2 engine. Arguments --------- env: jinja2.Environment instance. The environment to add the custom filters to.""" env.filters['basename']...

the_stack_v2_python_sparse

kur/engine/jinja_engine.py

deepgram/kur

train

873

59c34c3273194b69860ef5209421f8e9cdf13b79

[ "assignor = Assignor()\njson_object = assignor.assign(pythonobject)\nreturn json_object.to_string()", "t = Tokenizer()\np = Parser()\ntokens = t.tokenize(jsonstring)\njson_object = p.parse(tokens)\nreturn json_object.to_py_object()" ]

Json

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033036

15,110

no_license

[ { "docstring": "Serialize python object to json", "name": "serialize", "signature": "def serialize(self, pythonobject: Any)" }, { "docstring": "Deseiralize s to a python object.", "name": "deserialize", "signature": "def deserialize(self, jsonstring: str) -> Any" } ]

2

stack_v2_sparse_classes_30k_train_009048

Implement the Python class `Json` described below. Class description: Implement the Json class. Method signatures and docstrings: - def serialize(self, pythonobject: Any): Serialize python object to json - def deserialize(self, jsonstring: str) -> Any: Deseiralize s to a python object.

Implement the Python class `Json` described below. Class description: Implement the Json class. Method signatures and docstrings: - def serialize(self, pythonobject: Any): Serialize python object to json - def deserialize(self, jsonstring: str) -> Any: Deseiralize s to a python object. <|skeleton|> class Json: ...

26dc09d6d48b08d74925c6f3d412aa168ba0b7dd

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Json: def serialize(self, pythonobject: Any): """Serialize python object to json""" assignor = Assignor() json_object = assignor.assign(pythonobject) return json_object.to_string() def deserialize(self, jsonstring: str) -> Any: """Deseiralize s to a python object."...

the_stack_v2_python_sparse

py/jsonparser2/parser.py

ichihara-3/practice

train

0

5841de63c5cb7bca5da9919e14ef93e6a2a52e4f

[ "super().__init__()\nif not is_sqrt(patch_size):\n raise ValueError(f'patch_size should be square number, got {patch_size}.')\nself.patch_size = ensure_tuple_rep(patch_size, spatial_dims)\nself.img_size = ensure_tuple_rep(img_size, spatial_dims)\nself.spatial_dims = spatial_dims\nfor m, p in zip(self.img_size, s...

<|body_start_0|> super().__init__() if not is_sqrt(patch_size): raise ValueError(f'patch_size should be square number, got {patch_size}.') self.patch_size = ensure_tuple_rep(patch_size, spatial_dims) self.img_size = ensure_tuple_rep(img_size, spatial_dims) self.spatia...

Vision Transformer (ViT), based on: "Dosovitskiy et al., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale <https://arxiv.org/abs/2010.11929>" Modified to also give same dimension outputs as the input size of the image

ViTAutoEnc

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ViTAutoEnc: """Vision Transformer (ViT), based on: "Dosovitskiy et al., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale <https://arxiv.org/abs/2010.11929>" Modified to also give same dimension outputs as the input size of the image""" def __init__(self, in_channels...

stack_v2_sparse_classes_36k_train_033037

5,739

permissive

[ { "docstring": "Args: in_channels: dimension of input channels or the number of channels for input. img_size: dimension of input image. patch_size: dimension of patch size out_channels: number of output channels. Defaults to 1. deconv_chns: number of channels for the deconvolution layers. Defaults to 16. hidden...

2

null

Implement the Python class `ViTAutoEnc` described below. Class description: Vision Transformer (ViT), based on: "Dosovitskiy et al., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale <https://arxiv.org/abs/2010.11929>" Modified to also give same dimension outputs as the input size of the image...

e48c3e2c741fa3fc705c4425d17ac4a5afac6c47

<|skeleton|> class ViTAutoEnc: """Vision Transformer (ViT), based on: "Dosovitskiy et al., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale <https://arxiv.org/abs/2010.11929>" Modified to also give same dimension outputs as the input size of the image""" def __init__(self, in_channels...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ViTAutoEnc: """Vision Transformer (ViT), based on: "Dosovitskiy et al., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale <https://arxiv.org/abs/2010.11929>" Modified to also give same dimension outputs as the input size of the image""" def __init__(self, in_channels: int, img_si...

the_stack_v2_python_sparse

monai/networks/nets/vitautoenc.py

Project-MONAI/MONAI

train

4,805

acb9782eada37fc8f6862c48d5eb7a7e1eb102e7

[ "self.reqpaser = reqparse.RequestParser()\nself.reqpaser.add_argument('attribute_id', type=str, required=True, help='attribute id required')\nself.reqpaser.add_argument('sub_theme_id', type=int, required=True, help='user id required')", "args = self.reqpaser.parse_args()\nattribute = AttrAlias.get_by_attr_id(args...

Update Attribute Subtheme

UpdateAttributeSubTheme

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UpdateAttributeSubTheme: """Update Attribute Subtheme""" def __init__(self): """Set reqpase arguments""" <|body_0|> def post(self) -> ({str: str}, HTTPStatus): """Update Attributes SubTheme :param attribute_id: Attributes identification number :param sub_theme_id...

stack_v2_sparse_classes_36k_train_033038

2,004

permissive

[ { "docstring": "Set reqpase arguments", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Update Attributes SubTheme :param attribute_id: Attributes identification number :param sub_theme_id: SubTheme identification number :type attribute_id: str :type sub_theme_id: int :r...

2

null

Implement the Python class `UpdateAttributeSubTheme` described below. Class description: Update Attribute Subtheme Method signatures and docstrings: - def __init__(self): Set reqpase arguments - def post(self) -> ({str: str}, HTTPStatus): Update Attributes SubTheme :param attribute_id: Attributes identification numbe...

5d123691d1f25d0b85e20e4e8293266bf23c9f8a

<|skeleton|> class UpdateAttributeSubTheme: """Update Attribute Subtheme""" def __init__(self): """Set reqpase arguments""" <|body_0|> def post(self) -> ({str: str}, HTTPStatus): """Update Attributes SubTheme :param attribute_id: Attributes identification number :param sub_theme_id...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UpdateAttributeSubTheme: """Update Attribute Subtheme""" def __init__(self): """Set reqpase arguments""" self.reqpaser = reqparse.RequestParser() self.reqpaser.add_argument('attribute_id', type=str, required=True, help='attribute id required') self.reqpaser.add_argument('s...

the_stack_v2_python_sparse

Analytics/resources/attributes/update_attribute_sub_theme.py

thanosbnt/SharingCitiesDashboard

train

0

6fa7afb2304aa94f346e9dfcd144992cc3ca38e1

[ "if not s:\n return True\nans = False\nfor idx in range(1, len(s) + 1):\n if s[:idx] in wordDict:\n ans = ans or self.wordBreak(s[idx:], wordDict)\nreturn ans", "dp = [False] * (len(s) + 1)\ndp[0] = True\nfor i in range(1, len(s) + 1):\n for j in range(i + 1):\n if dp[j] and s[j:i] in wordD...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033039

902

no_license

[ { "docstring": "Recursive solution", "name": "wordBreak", "signature": "def wordBreak(self, s, wordDict)" }, { "docstring": "DP based solution", "name": "wordBreakDP", "signature": "def wordBreakDP(self, s, wordDict)" } ]

2

stack_v2_sparse_classes_30k_train_020096

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordBreak(self, s, wordDict): Recursive solution - def wordBreakDP(self, s, wordDict): DP based solution

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordBreak(self, s, wordDict): Recursive solution - def wordBreakDP(self, s, wordDict): DP based solution <|skeleton|> class Solution: def wordBreak(self, s, wordDict): ...

e271069f5e8b67ccb2770150960edba5147120dc

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def wordBreak(self, s, wordDict): """Recursive solution""" if not s: return True ans = False for idx in range(1, len(s) + 1): if s[:idx] in wordDict: ans = ans or self.wordBreak(s[idx:], wordDict) return ans def wor...

the_stack_v2_python_sparse

leetcode/word_break_1.py

ajay2611/ds-algo

train

3

d747529797c266d0199220879c7cdd9392d532d6

[ "super().__init__()\nif d_model % nhead != 0:\n raise ValueError(f'd_model={d_model} not divisible by nhead={nhead}')\nself.self_attn = MultiheadAttention(d_model, nhead, dropout=dropout)\nself.linear = LinearDecoder(LinearDecoderHparams(decode_dims=dim_feedforward, n_decode_layers=2, decode_dropout=dropout), d_...

<|body_start_0|> super().__init__() if d_model % nhead != 0: raise ValueError(f'd_model={d_model} not divisible by nhead={nhead}') self.self_attn = MultiheadAttention(d_model, nhead, dropout=dropout) self.linear = LinearDecoder(LinearDecoderHparams(decode_dims=dim_feedforward...

Internal object modifying pytorch's TransformerEncoderLayer, for use by `seqmodel.model.transformer.TransformerEncoder`. See `TransformerEncoder` for documentation.

TransformerEncoderLayer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TransformerEncoderLayer: """Internal object modifying pytorch's TransformerEncoderLayer, for use by `seqmodel.model.transformer.TransformerEncoder`. See `TransformerEncoder` for documentation.""" def __init__(self, d_model: int, nhead: int, dim_feedforward: int, dropout: float, ActivationFn:...

stack_v2_sparse_classes_36k_train_033040

20,414

no_license

[ { "docstring": "See documentation in `seqmodel.model.transformer.TransformerEncoder`.", "name": "__init__", "signature": "def __init__(self, d_model: int, nhead: int, dim_feedforward: int, dropout: float, ActivationFn: nn.Module=nn.ReLU, DropoutFn: nn.Module=nn.Dropout, LayerNormFn: nn.Module=nn.LayerNo...

2

stack_v2_sparse_classes_30k_train_016631

Implement the Python class `TransformerEncoderLayer` described below. Class description: Internal object modifying pytorch's TransformerEncoderLayer, for use by `seqmodel.model.transformer.TransformerEncoder`. See `TransformerEncoder` for documentation. Method signatures and docstrings: - def __init__(self, d_model: ...

793543ebd3e526bdd8931a269fdf17808762d9bc

<|skeleton|> class TransformerEncoderLayer: """Internal object modifying pytorch's TransformerEncoderLayer, for use by `seqmodel.model.transformer.TransformerEncoder`. See `TransformerEncoder` for documentation.""" def __init__(self, d_model: int, nhead: int, dim_feedforward: int, dropout: float, ActivationFn:...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TransformerEncoderLayer: """Internal object modifying pytorch's TransformerEncoderLayer, for use by `seqmodel.model.transformer.TransformerEncoder`. See `TransformerEncoder` for documentation.""" def __init__(self, d_model: int, nhead: int, dim_feedforward: int, dropout: float, ActivationFn: nn.Module=nn...

the_stack_v2_python_sparse

seqmodel/model/transformer.py

devinkwok/seqmodelv2

train

0

1db88fd782c0739ee44b2d79db0e5c6b601bc935

[ "super(IdentityV3Fixture, cls).setUpClass()\ncls.v3_composite = IdentityV3Composite(cls.user_config)\ncls.v3_composite.load_clients_and_behaviors()", "if catalog_is_empty is True:\n self.assertEqual(len(catalog_response.entity.catalog), 0)\nelse:\n self.assertGreater(len(catalog_response.entity.catalog), 0)...

IdentityV3Fixture

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class IdentityV3Fixture: def setUpClass(cls): """Function to create test bed fixture for all the v3 tests. Execute once at the beginning of class @param cls: instance of class""" <|body_0|> def _verify_catalog_response(self, catalog_response, catalog_is_empty=False): """Ve...

stack_v2_sparse_classes_36k_train_033041

1,942

permissive

[ { "docstring": "Function to create test bed fixture for all the v3 tests. Execute once at the beginning of class @param cls: instance of class", "name": "setUpClass", "signature": "def setUpClass(cls)" }, { "docstring": "Verify the response received for the catalog. Verifying the assertions are ...

2

null

Implement the Python class `IdentityV3Fixture` described below. Class description: Implement the IdentityV3Fixture class. Method signatures and docstrings: - def setUpClass(cls): Function to create test bed fixture for all the v3 tests. Execute once at the beginning of class @param cls: instance of class - def _verif...

30f0e64672676c3f90b4a582fe90fac6621475b3

<|skeleton|> class IdentityV3Fixture: def setUpClass(cls): """Function to create test bed fixture for all the v3 tests. Execute once at the beginning of class @param cls: instance of class""" <|body_0|> def _verify_catalog_response(self, catalog_response, catalog_is_empty=False): """Ve...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class IdentityV3Fixture: def setUpClass(cls): """Function to create test bed fixture for all the v3 tests. Execute once at the beginning of class @param cls: instance of class""" super(IdentityV3Fixture, cls).setUpClass() cls.v3_composite = IdentityV3Composite(cls.user_config) cls.v3...

the_stack_v2_python_sparse

cloudroast/identity/v3/fixture.py

RULCSoft/cloudroast

train

1

c6683ac9c4d1cc344c1d55a3550438bef33092b1

[ "super().__init__()\nself.data = data\nself.args = args\nself.batch_size = args.batch_size\nself.num_workers = args.num_workers", "num_samples = self.data.shape[0]\nnum_train = round(num_samples * self.args.splits[0])\nnum_test = round(num_samples * self.args.splits[1])\nnum_val = num_samples - num_train - num_te...

PyTorch Lightning data module class for time series data.

DataModule

[ "Apache-2.0", "CC-BY-4.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DataModule: """PyTorch Lightning data module class for time series data.""" def __init__(self, data, args): """Instantiates the data module. Args: data: the numpy array of time series data, with the shape (seq_len x num_nodes x num_features). args: python argparse.ArgumentParser clas...

stack_v2_sparse_classes_36k_train_033042

6,627

permissive

[ { "docstring": "Instantiates the data module. Args: data: the numpy array of time series data, with the shape (seq_len x num_nodes x num_features). args: python argparse.ArgumentParser class.", "name": "__init__", "signature": "def __init__(self, data, args)" }, { "docstring": "Splits the data a...

5

null

Implement the Python class `DataModule` described below. Class description: PyTorch Lightning data module class for time series data. Method signatures and docstrings: - def __init__(self, data, args): Instantiates the data module. Args: data: the numpy array of time series data, with the shape (seq_len x num_nodes x...

5573d9c5822f4e866b6692769963ae819cb3f10d

<|skeleton|> class DataModule: """PyTorch Lightning data module class for time series data.""" def __init__(self, data, args): """Instantiates the data module. Args: data: the numpy array of time series data, with the shape (seq_len x num_nodes x num_features). args: python argparse.ArgumentParser clas...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DataModule: """PyTorch Lightning data module class for time series data.""" def __init__(self, data, args): """Instantiates the data module. Args: data: the numpy array of time series data, with the shape (seq_len x num_nodes x num_features). args: python argparse.ArgumentParser class.""" ...

the_stack_v2_python_sparse

editable_graph_temporal/data.py

Jimmy-INL/google-research

train

1

7f53b5309391823c2ea553d2afb845e1bb4b13ff

[ "user_list_page = UserListPageObject(self.driver)\nsearch_page = FindUserPageObject(self.driver)\nresults_page = ResultsListPageObject(self.driver)\ntest_user = self.test_settings['test_users']['1']\nself.api.remove_user(self.test_settings['test_course']['cid'], test_user['user_id'], test_user['role_id'])\nuser_lis...

<|body_start_0|> user_list_page = UserListPageObject(self.driver) search_page = FindUserPageObject(self.driver) results_page = ResultsListPageObject(self.driver) test_user = self.test_settings['test_users']['1'] self.api.remove_user(self.test_settings['test_course']['cid'], test_...

Testing Searching functionality of Manage People

SearchTests

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SearchTests: """Testing Searching functionality of Manage People""" def test_search_by_huid_successful(self): """This searches for an existing ID and asserts the search results page is loaded after search""" <|body_0|> def test_search_by_huid_unsuccessful(self): ...

stack_v2_sparse_classes_36k_train_033043

1,798

no_license

[ { "docstring": "This searches for an existing ID and asserts the search results page is loaded after search", "name": "test_search_by_huid_successful", "signature": "def test_search_by_huid_successful(self)" }, { "docstring": "This searches for an invalid id and asserts that search page is not l...

2

stack_v2_sparse_classes_30k_train_011712

Implement the Python class `SearchTests` described below. Class description: Testing Searching functionality of Manage People Method signatures and docstrings: - def test_search_by_huid_successful(self): This searches for an existing ID and asserts the search results page is loaded after search - def test_search_by_h...

6d20ee2c193ed69b29aaf3f1dd23be419153ca72

<|skeleton|> class SearchTests: """Testing Searching functionality of Manage People""" def test_search_by_huid_successful(self): """This searches for an existing ID and asserts the search results page is loaded after search""" <|body_0|> def test_search_by_huid_unsuccessful(self): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SearchTests: """Testing Searching functionality of Manage People""" def test_search_by_huid_successful(self): """This searches for an existing ID and asserts the search results page is loaded after search""" user_list_page = UserListPageObject(self.driver) search_page = FindUserPa...

the_stack_v2_python_sparse

selenium_tests/manage_people/search_tests.py

Harvard-University-iCommons/canvas_manage_course

train

4

1b3abc5be857c96ee9c182982bbd26baaa399f86

[ "super().__init__()\nself.h = h\nself.dm = dm\nself.depth = int(dm / h)\nself.Wq = tf.keras.layers.Dense(units=dm)\nself.Wk = tf.keras.layers.Dense(units=dm)\nself.Wv = tf.keras.layers.Dense(units=dm)\nself.linear = tf.keras.layers.Dense(units=dm)", "batch = tf.shape(Q)[0]\nq = self.Wq(Q)\nq = tf.reshape(q, (batc...

<|body_start_0|> super().__init__() self.h = h self.dm = dm self.depth = int(dm / h) self.Wq = tf.keras.layers.Dense(units=dm) self.Wk = tf.keras.layers.Dense(units=dm) self.Wv = tf.keras.layers.Dense(units=dm) self.linear = tf.keras.layers.Dense(units=dm)...

class MultiHeadAttention

MultiHeadAttention

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MultiHeadAttention: """class MultiHeadAttention""" def __init__(self, dm, h): """Initializer. Args: dm: (int) representing the dimensionality of the model. h: (int) representing the number of heads.""" <|body_0|> def call(self, Q, K, V, mask): """call method. Arg...

stack_v2_sparse_classes_36k_train_033044

2,042

no_license

[ { "docstring": "Initializer. Args: dm: (int) representing the dimensionality of the model. h: (int) representing the number of heads.", "name": "__init__", "signature": "def __init__(self, dm, h)" }, { "docstring": "call method. Args: Q: (tf.Tensor) containing the input to generate the query mat...

2

null

Implement the Python class `MultiHeadAttention` described below. Class description: class MultiHeadAttention Method signatures and docstrings: - def __init__(self, dm, h): Initializer. Args: dm: (int) representing the dimensionality of the model. h: (int) representing the number of heads. - def call(self, Q, K, V, ma...

75274394adb52d740f6cd4000cc00bbde44b9b72

<|skeleton|> class MultiHeadAttention: """class MultiHeadAttention""" def __init__(self, dm, h): """Initializer. Args: dm: (int) representing the dimensionality of the model. h: (int) representing the number of heads.""" <|body_0|> def call(self, Q, K, V, mask): """call method. Arg...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MultiHeadAttention: """class MultiHeadAttention""" def __init__(self, dm, h): """Initializer. Args: dm: (int) representing the dimensionality of the model. h: (int) representing the number of heads.""" super().__init__() self.h = h self.dm = dm self.depth = int(dm ...

the_stack_v2_python_sparse

supervised_learning/0x11-attention/6-multihead_attention.py

jdarangop/holbertonschool-machine_learning

train

2

ea65c601728bb1648b9e47ddd64905bdd914ddbf

[ "dwi, phasediff = (kwargs.pop('dwi_file'), kwargs.pop('phasediff_file'))\nkwargs['encoding_direction'] = [self.fix_phase_encoding(dwi.get_phase_encoding_direction()), self.fix_phase_encoding(phasediff.get_phase_encoding_direction())]\nkwargs['readout_times'] = [dwi.get_total_readout_time(), phasediff.get_total_read...

<|body_start_0|> dwi, phasediff = (kwargs.pop('dwi_file'), kwargs.pop('phasediff_file')) kwargs['encoding_direction'] = [self.fix_phase_encoding(dwi.get_phase_encoding_direction()), self.fix_phase_encoding(phasediff.get_phase_encoding_direction())] kwargs['readout_times'] = [dwi.get_total_readou...

A simple subclass of nipype's :class:`~nipype.interfaces.fsl.TOPUP` interface, tweaking the interface's :meth:`__init__` method to make input specification easier.

TopupWrapper

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TopupWrapper: """A simple subclass of nipype's :class:`~nipype.interfaces.fsl.TOPUP` interface, tweaking the interface's :meth:`__init__` method to make input specification easier.""" def __init__(self, *args, **kwargs): """Sets the *encoding_direction* and *readout_times* parameter ...

stack_v2_sparse_classes_36k_train_033045

1,582

permissive

[ { "docstring": "Sets the *encoding_direction* and *readout_times* parameter values using the provided :class:`~django_mri.models.nifti.NIfTI` instances.", "name": "__init__", "signature": "def __init__(self, *args, **kwargs)" }, { "docstring": "Converts phase encoding values from *i, j, k* to *x...

2

null

Implement the Python class `TopupWrapper` described below. Class description: A simple subclass of nipype's :class:`~nipype.interfaces.fsl.TOPUP` interface, tweaking the interface's :meth:`__init__` method to make input specification easier. Method signatures and docstrings: - def __init__(self, *args, **kwargs): Set...

5b5ca1b119144d01e526825d2b2a2b87541b4d4a

<|skeleton|> class TopupWrapper: """A simple subclass of nipype's :class:`~nipype.interfaces.fsl.TOPUP` interface, tweaking the interface's :meth:`__init__` method to make input specification easier.""" def __init__(self, *args, **kwargs): """Sets the *encoding_direction* and *readout_times* parameter ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TopupWrapper: """A simple subclass of nipype's :class:`~nipype.interfaces.fsl.TOPUP` interface, tweaking the interface's :meth:`__init__` method to make input specification easier.""" def __init__(self, *args, **kwargs): """Sets the *encoding_direction* and *readout_times* parameter values using ...

the_stack_v2_python_sparse

django_mri/analysis/interfaces/fsl/topup.py

TheLabbingProject/django_mri

train

7

f92ebd892ceaf62a969ac132bb47e0863aefc2df

[ "super().__init__(constants.CROSS_HAIR, 0.25)\nself.offset = 0\nself.cast = cast\nself.timer = time.time()\nself.slash_sound = arcade.load_sound(constants.HERO_SLASH_SOUND)\nself.hit_resource_sound = arcade.load_sound(constants.HERO_RESOURCE_SOUND)", "if time.time() - self.timer >= 0.5:\n self.timer = time.tim...

<|body_start_0|> super().__init__(constants.CROSS_HAIR, 0.25) self.offset = 0 self.cast = cast self.timer = time.time() self.slash_sound = arcade.load_sound(constants.HERO_SLASH_SOUND) self.hit_resource_sound = arcade.load_sound(constants.HERO_RESOURCE_SOUND) <|end_body_0...

Melee

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Melee: def __init__(self, cast): """Class constructor. Calls the constructor of the parent class. Args: self (Melee): an instance of Melee cast (dict): dictionary that holds all the actors""" <|body_0|> def attack(self): """Attack method. Attacks zombies. Args: self ...

stack_v2_sparse_classes_36k_train_033046

2,168

no_license

[ { "docstring": "Class constructor. Calls the constructor of the parent class. Args: self (Melee): an instance of Melee cast (dict): dictionary that holds all the actors", "name": "__init__", "signature": "def __init__(self, cast)" }, { "docstring": "Attack method. Attacks zombies. Args: self (Me...

3

stack_v2_sparse_classes_30k_train_013349

Implement the Python class `Melee` described below. Class description: Implement the Melee class. Method signatures and docstrings: - def __init__(self, cast): Class constructor. Calls the constructor of the parent class. Args: self (Melee): an instance of Melee cast (dict): dictionary that holds all the actors - def...

6826ac570c71499782a107e27624e71daba9ed84

<|skeleton|> class Melee: def __init__(self, cast): """Class constructor. Calls the constructor of the parent class. Args: self (Melee): an instance of Melee cast (dict): dictionary that holds all the actors""" <|body_0|> def attack(self): """Attack method. Attacks zombies. Args: self ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Melee: def __init__(self, cast): """Class constructor. Calls the constructor of the parent class. Args: self (Melee): an instance of Melee cast (dict): dictionary that holds all the actors""" super().__init__(constants.CROSS_HAIR, 0.25) self.offset = 0 self.cast = cast ...

the_stack_v2_python_sparse

towerz/game/melee.py

NolanMeacham/cse210-project

train

0

4f6ef00381dfaee813de6bb6d01b7c341fdafc6a

[ "complete = status == 'complete'\nsort = request.GET.get('sort', 'created_date')\nsort_fields = ['created_date', 'user']\nimports = models.ImportJob.objects.filter(complete=complete).order_by('created_date')\nif sort in sort_fields + ['-{:s}'.format(f) for f in sort_fields]:\n imports = imports.order_by(sort)\np...

<|body_start_0|> complete = status == 'complete' sort = request.GET.get('sort', 'created_date') sort_fields = ['created_date', 'user'] imports = models.ImportJob.objects.filter(complete=complete).order_by('created_date') if sort in sort_fields + ['-{:s}'.format(f) for f in sort_f...

admin view of imports on this server

ImportList

[ "LicenseRef-scancode-warranty-disclaimer" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033047

3,614

no_license

[ { "docstring": "list of imports", "name": "get", "signature": "def get(self, request, status='active')" }, { "docstring": "Mark an import as complete", "name": "post", "signature": "def post(self, request, import_id)" } ]

2

null

Implement the Python class `ImportList` described below. Class description: admin view of imports on this server Method signatures and docstrings: - def get(self, request, status='active'): list of imports - def post(self, request, import_id): Mark an import as complete

Implement the Python class `ImportList` described below. Class description: admin view of imports on this server Method signatures and docstrings: - def get(self, request, status='active'): list of imports - def post(self, request, import_id): Mark an import as complete <|skeleton|> class ImportList: """admin vi...

0f8da5b738047f3c34d60d93f59bdedd8f797224

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ImportList: """admin view of imports on this server""" def get(self, request, status='active'): """list of imports""" complete = status == 'complete' sort = request.GET.get('sort', 'created_date') sort_fields = ['created_date', 'user'] imports = models.ImportJob.ob...

the_stack_v2_python_sparse

bookwyrm/views/admin/imports.py

bookwyrm-social/bookwyrm

train

1,398

681773075555ff2154620de3be27fcba88eb59bc

[ "import boto\nfrom botoweb.environment import Environment\ne = Environment(self.application)\nself.env = e\nboto.config = self.env.config\nfrom botoweb.appserver.url_mapper import URLMapper\nfrom botoweb.appserver.filter_mapper import FilterMapper\nfrom botoweb.appserver.auth_layer import AuthLayer\nself.mapper = A...

<|body_start_0|> import boto from botoweb.environment import Environment e = Environment(self.application) self.env = e boto.config = self.env.config from botoweb.appserver.url_mapper import URLMapper from botoweb.appserver.filter_mapper import FilterMapper ...

Testing base class, this provides some simple shared functionality for all classes to use. This emulates what would actually happen if you connected via the HTTP server without actually running the HTTP server.

TestBase

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestBase: """Testing base class, this provides some simple shared functionality for all classes to use. This emulates what would actually happen if you connected via the HTTP server without actually running the HTTP server.""" def __init__(self): """Setup this class to handle testing...

stack_v2_sparse_classes_36k_train_033048

2,617

no_license

[ { "docstring": "Setup this class to handle testing", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Make a request to a given resource @param resource: The resource URI to fetch from (ex. /users) @type resource: str @param method: The HTTP/1.1 Method to use, (GET/PUT/DE...

3

stack_v2_sparse_classes_30k_train_018059

Implement the Python class `TestBase` described below. Class description: Testing base class, this provides some simple shared functionality for all classes to use. This emulates what would actually happen if you connected via the HTTP server without actually running the HTTP server. Method signatures and docstrings:...

42f65f71d7a48cc09f92c5bb368a8105de78f42a

<|skeleton|> class TestBase: """Testing base class, this provides some simple shared functionality for all classes to use. This emulates what would actually happen if you connected via the HTTP server without actually running the HTTP server.""" def __init__(self): """Setup this class to handle testing...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestBase: """Testing base class, this provides some simple shared functionality for all classes to use. This emulates what would actually happen if you connected via the HTTP server without actually running the HTTP server.""" def __init__(self): """Setup this class to handle testing""" i...

the_stack_v2_python_sparse

botoweb/testbase.py

p3pijn/botoweb

train

0

f89ada51cac44a510353917b7303911918fb30c9

[ "self.surface = pygame.Surface(dim)\nself.rect = rect\nself.width = dim[0] // scale\nself.height = dim[1] // scale\nself.scale = scale\nself.drawsurface = pygame.Surface((self.width, self.height))\nself.drawsurface.fill((0, 0, 0))\nself.array2d = None\nself.fire = None\nself.palette = None\nself.initialize()", "s...

<|body_start_0|> self.surface = pygame.Surface(dim) self.rect = rect self.width = dim[0] // scale self.height = dim[1] // scale self.scale = scale self.drawsurface = pygame.Surface((self.width, self.height)) self.drawsurface.fill((0, 0, 0)) self.array2d = ...

Simulated Fire, 2d effect idea and basic algorithm from http://lodev.org/cgtutor/fire.html

Fire

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Fire: """Simulated Fire, 2d effect idea and basic algorithm from http://lodev.org/cgtutor/fire.html""" def __init__(self, dim, rect, scale=4): """(pygame.surface) surface - to draw on (pygame.Rect) dest - rect to blit fire on (int) width - width of fire (int) height - height of fire ...

stack_v2_sparse_classes_36k_train_033049

4,189

no_license

[ { "docstring": "(pygame.surface) surface - to draw on (pygame.Rect) dest - rect to blit fire on (int) width - width of fire (int) height - height of fire (int) scale - scale fire", "name": "__init__", "signature": "def __init__(self, dim, rect, scale=4)" }, { "docstring": "generate palette and s...

3

stack_v2_sparse_classes_30k_test_001068

Implement the Python class `Fire` described below. Class description: Simulated Fire, 2d effect idea and basic algorithm from http://lodev.org/cgtutor/fire.html Method signatures and docstrings: - def __init__(self, dim, rect, scale=4): (pygame.surface) surface - to draw on (pygame.Rect) dest - rect to blit fire on (...

1fd421195a2888c0588a49f5a043a1110eedcdbf

<|skeleton|> class Fire: """Simulated Fire, 2d effect idea and basic algorithm from http://lodev.org/cgtutor/fire.html""" def __init__(self, dim, rect, scale=4): """(pygame.surface) surface - to draw on (pygame.Rect) dest - rect to blit fire on (int) width - width of fire (int) height - height of fire ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Fire: """Simulated Fire, 2d effect idea and basic algorithm from http://lodev.org/cgtutor/fire.html""" def __init__(self, dim, rect, scale=4): """(pygame.surface) surface - to draw on (pygame.Rect) dest - rect to blit fire on (int) width - width of fire (int) height - height of fire (int) scale -...

the_stack_v2_python_sparse

effects/Fire.py

gunny26/pygame

train

5

1c0f8b2304f9f4080429d3311b63de439c5d28e4

[ "slot = Slot.objects.create(business_id=business.id, site_id=business.advertiser.site.id, start_date=datetime.date(2011, 1, 1), end_date=datetime.date(2099, 1, 1))\nif parent_slot:\n slot.parent_slot_id = parent_slot.id\nelse:\n slot.parent_slot_id = slot.id\nslot.save()\nreturn slot", "if not coupon:\n ...

<|body_start_0|> slot = Slot.objects.create(business_id=business.id, site_id=business.advertiser.site.id, start_date=datetime.date(2011, 1, 1), end_date=datetime.date(2099, 1, 1)) if parent_slot: slot.parent_slot_id = parent_slot.id else: slot.parent_slot_id = slot.id ...

Slot Factory Class

SlotFactory

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SlotFactory: """Slot Factory Class""" def _create(business, parent_slot=None): """Create a single slot instance. If no parent_slot is passed in, this slot will be created as a parent. If a parent_slot is passed in, the slot will become a child of the parent.""" <|body_0|> ...

stack_v2_sparse_classes_36k_train_033050

6,089

no_license

[ { "docstring": "Create a single slot instance. If no parent_slot is passed in, this slot will be created as a parent. If a parent_slot is passed in, the slot will become a child of the parent.", "name": "_create", "signature": "def _create(business, parent_slot=None)" }, { "docstring": "Create a...

6

null

Implement the Python class `SlotFactory` described below. Class description: Slot Factory Class Method signatures and docstrings: - def _create(business, parent_slot=None): Create a single slot instance. If no parent_slot is passed in, this slot will be created as a parent. If a parent_slot is passed in, the slot wil...

a780ccdc3350d4b5c7990c65d1af8d71060c62cc

<|skeleton|> class SlotFactory: """Slot Factory Class""" def _create(business, parent_slot=None): """Create a single slot instance. If no parent_slot is passed in, this slot will be created as a parent. If a parent_slot is passed in, the slot will become a child of the parent.""" <|body_0|> ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SlotFactory: """Slot Factory Class""" def _create(business, parent_slot=None): """Create a single slot instance. If no parent_slot is passed in, this slot will be created as a parent. If a parent_slot is passed in, the slot will become a child of the parent.""" slot = Slot.objects.create(...

the_stack_v2_python_sparse

coupon/factories/slot_factory.py

wcirillo/ten

train

0

06fa5eb377475ec063b4c10df95fe89990487693

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn MobileThreatDefenseConnector()", "from .entity import Entity\nfrom .mobile_threat_partner_tenant_state import MobileThreatPartnerTenantState\nfrom .entity import Entity\nfrom .mobile_threat_partner_tenant_state import MobileThreatPartn...

Entity which represents a connection to Mobile Threat Defense partner.

MobileThreatDefenseConnector

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MobileThreatDefenseConnector: """Entity which represents a connection to Mobile Threat Defense partner.""" def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector: """Creates a new instance of the appropriate class based on discrimina...

stack_v2_sparse_classes_36k_train_033051

10,079

permissive

[ { "docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: MobileThreatDefenseConnector", "name": "create_from_discriminator_value", "signature": "def create_from_disc...

3

stack_v2_sparse_classes_30k_train_017124

Implement the Python class `MobileThreatDefenseConnector` described below. Class description: Entity which represents a connection to Mobile Threat Defense partner. Method signatures and docstrings: - def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector: Creates a ...

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

<|skeleton|> class MobileThreatDefenseConnector: """Entity which represents a connection to Mobile Threat Defense partner.""" def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector: """Creates a new instance of the appropriate class based on discrimina...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MobileThreatDefenseConnector: """Entity which represents a connection to Mobile Threat Defense partner.""" def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector: """Creates a new instance of the appropriate class based on discriminator value Arg...

the_stack_v2_python_sparse

msgraph/generated/models/mobile_threat_defense_connector.py

microsoftgraph/msgraph-sdk-python

train

135

c4de9cfe75f7fe7582a91c2661746e12d8d3a967

[ "c = Counter()\nfor ch in s:\n c[ch] = c[ch] + 1\na = sorted(c.items(), key=lambda item: item[1], reverse=True)\nindex_dict = {k[0]: i for i, k in enumerate(a)}\nB_ordered = sorted(s, key=lambda x: index_dict[x])\nreturn ''.join(B_ordered)", "count = dict()\nresult = ''\nsort = dict()\nfor c in s:\n if c no...

<|body_start_0|> c = Counter() for ch in s: c[ch] = c[ch] + 1 a = sorted(c.items(), key=lambda item: item[1], reverse=True) index_dict = {k[0]: i for i, k in enumerate(a)} B_ordered = sorted(s, key=lambda x: index_dict[x]) return ''.join(B_ordered) <|end_body_...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033052

2,079

no_license

[ { "docstring": ":type s: str :rtype: str 175ms", "name": "frequencySort", "signature": "def frequencySort(self, s)" }, { "docstring": ":type s: str :rtype: str 62ms", "name": "frequencySort_1", "signature": "def frequencySort_1(self, s)" } ]

2

stack_v2_sparse_classes_30k_train_016622

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def frequencySort(self, s): :type s: str :rtype: str 175ms - def frequencySort_1(self, s): :type s: str :rtype: str 62ms

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def frequencySort(self, s): :type s: str :rtype: str 175ms - def frequencySort_1(self, s): :type s: str :rtype: str 62ms <|skeleton|> class Solution: def frequencySort(self...

679a2b246b8b6bb7fc55ed1c8096d3047d6d4461

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def frequencySort(self, s): """:type s: str :rtype: str 175ms""" c = Counter() for ch in s: c[ch] = c[ch] + 1 a = sorted(c.items(), key=lambda item: item[1], reverse=True) index_dict = {k[0]: i for i, k in enumerate(a)} B_ordered = sorted(s...

the_stack_v2_python_sparse

SortCharactersByFrequency_MID_451.py

953250587/leetcode-python

train

2

57cc5c465113c188088b9112ac1f07d1ac78c321

[ "if root == None:\n return ''\nres = []\nqueue = [root]\nwhile queue:\n node = queue.pop(0)\n if node:\n queue.append(node.left)\n queue.append(node.right)\n res.append(str(node.val))\n else:\n res.append('#')\nreturn ','.join(res)", "if not data:\n return None\nnode_col...

<|body_start_0|> if root == None: return '' res = [] queue = [root] while queue: node = queue.pop(0) if node: queue.append(node.left) queue.append(node.right) res.append(str(node.val)) else: ...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033053

2,418

no_license

[ { "docstring": "Encodes a tree to a single string :type root: TreeNode :rtype: str", "name": "serialize", "signature": "def serialize(self, root)" }, { "docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode", "name": "deserialize", "signature": "def deserialize...

2

null

Implement the Python class `Codec` described below. Class description: Implement the Codec class. Method signatures and docstrings: - def serialize(self, root): Encodes a tree to a single string :type root: TreeNode :rtype: str - def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: ...

0a2e0e4a5176c02910d7718c42903d10a6c47a5f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root): """Encodes a tree to a single string :type root: TreeNode :rtype: str""" if root == None: return '' res = [] queue = [root] while queue: node = queue.pop(0) if node: queue.append(node....

the_stack_v2_python_sparse

serialize_deserialize_binary_tree.py

baichuan/Leetcode

train

0

24081bea73b4c503c2ea7969c412baef7baf5858

[ "self.mask = mask\nself.n_inputs = n_inputs\nself.n_outputs = n_outputs\nself.s_hiddens = s_hiddens\nself.s_act = s_act\nself.t_hiddens = t_hiddens\nself.t_act = t_act\nmy = mask * y\nself.s_net = nn.FeedforwardNet(n_inputs + n_outputs, tt.concatenate([x, my], axis=1))\nfor h in s_hiddens:\n self.s_net.addLayer(...

<|body_start_0|> self.mask = mask self.n_inputs = n_inputs self.n_outputs = n_outputs self.s_hiddens = s_hiddens self.s_act = s_act self.t_hiddens = t_hiddens self.t_act = t_act my = mask * y self.s_net = nn.FeedforwardNet(n_inputs + n_outputs, tt....

Coupling layer for the conditional version of Real NVP.

ConditionalCouplingLayer

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ConditionalCouplingLayer: """Coupling layer for the conditional version of Real NVP.""" def __init__(self, x, y, mask, n_inputs, n_outputs, s_hiddens, s_act, t_hiddens, t_act): """Constructor of the backward computation graph. :param x: theano array, the conditional input :param y: t...

stack_v2_sparse_classes_36k_train_033054

15,147

permissive

[ { "docstring": "Constructor of the backward computation graph. :param x: theano array, the conditional input :param y: theano array, the output :param mask: theano array, a mask indicating which outputs are unchanged :param n_inputs: int, number of conditional inputs :param n_outputs: int, number of outputs :pa...

2

stack_v2_sparse_classes_30k_train_010143

Implement the Python class `ConditionalCouplingLayer` described below. Class description: Coupling layer for the conditional version of Real NVP. Method signatures and docstrings: - def __init__(self, x, y, mask, n_inputs, n_outputs, s_hiddens, s_act, t_hiddens, t_act): Constructor of the backward computation graph. ...

d5fa619db637d19f0c3018aeb1431f657dd533bf

<|skeleton|> class ConditionalCouplingLayer: """Coupling layer for the conditional version of Real NVP.""" def __init__(self, x, y, mask, n_inputs, n_outputs, s_hiddens, s_act, t_hiddens, t_act): """Constructor of the backward computation graph. :param x: theano array, the conditional input :param y: t...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ConditionalCouplingLayer: """Coupling layer for the conditional version of Real NVP.""" def __init__(self, x, y, mask, n_inputs, n_outputs, s_hiddens, s_act, t_hiddens, t_act): """Constructor of the backward computation graph. :param x: theano array, the conditional input :param y: theano array, ...

the_stack_v2_python_sparse

ml/models/nvps.py

gpapamak/maf

train

199

c24a333d4228d3898e8d0ab20b12c8120265dd08

[ "assert width > 0\nassert infiniteSide in {'L', 'R', None}\nself.left = lambda x: (x - xcenter) / width + 1\nself.leftBorder = (xcenter - width, xcenter)\nself.right = lambda x: -(x - xcenter) / width + 1\nself.rightBorder = (xcenter, xcenter + width)\nself.orientation = infiniteSide", "if x >= self.rightBorder[1...

<|body_start_0|> assert width > 0 assert infiniteSide in {'L', 'R', None} self.left = lambda x: (x - xcenter) / width + 1 self.leftBorder = (xcenter - width, xcenter) self.right = lambda x: -(x - xcenter) / width + 1 self.rightBorder = (xcenter, xcenter + width) s...

Triangular fuzzy set. Attributes: left leftBorder right rightBorder orientation

TriangularSet

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TriangularSet: """Triangular fuzzy set. Attributes: left leftBorder right rightBorder orientation""" def __init__(self, width=1, xcenter=0, infiniteSide=None): """Constructor of TriangularSet. Arguments: width xcenter infiniteSide""" <|body_0|> def getLeftInfinite(self, ...

stack_v2_sparse_classes_36k_train_033055

7,372

no_license

[ { "docstring": "Constructor of TriangularSet. Arguments: width xcenter infiniteSide", "name": "__init__", "signature": "def __init__(self, width=1, xcenter=0, infiniteSide=None)" }, { "docstring": "Returns value from left side, if infinite. Arguments: x", "name": "getLeftInfinite", "sign...

5

null

Implement the Python class `TriangularSet` described below. Class description: Triangular fuzzy set. Attributes: left leftBorder right rightBorder orientation Method signatures and docstrings: - def __init__(self, width=1, xcenter=0, infiniteSide=None): Constructor of TriangularSet. Arguments: width xcenter infiniteS...

1c2c3abe50bd9125b105ffd13eef513839f3f9d8

<|skeleton|> class TriangularSet: """Triangular fuzzy set. Attributes: left leftBorder right rightBorder orientation""" def __init__(self, width=1, xcenter=0, infiniteSide=None): """Constructor of TriangularSet. Arguments: width xcenter infiniteSide""" <|body_0|> def getLeftInfinite(self, ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TriangularSet: """Triangular fuzzy set. Attributes: left leftBorder right rightBorder orientation""" def __init__(self, width=1, xcenter=0, infiniteSide=None): """Constructor of TriangularSet. Arguments: width xcenter infiniteSide""" assert width > 0 assert infiniteSide in {'L', '...

the_stack_v2_python_sparse

monitor/fuzzy.py

martinbenes1996/bc

train

0

f3ee67d773833e82f7e5d3e446f7f2e311d5e119

[ "email = self.cleaned_data.get('email')\nif not User.objects.filter(email=email):\n raise forms.ValidationError('该邮箱没有被注册, 请重新输入')\nreturn email", "password = self.cleaned_data.get('password')\npassword_2 = self.cleaned_data.get('password_2')\nif password != password_2:\n raise forms.ValidationError('两次密码输入...

ForgetPwdForm

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033056

7,045

permissive

[ { "docstring": "验证邮箱字段", "name": "clean_email", "signature": "def clean_email(self)" }, { "docstring": "验证码密码一致", "name": "clean_password_2", "signature": "def clean_password_2(self)" }, { "docstring": "验证验证码是否正确", "name": "clean_check_code", "signature": "def clean_check...

3

stack_v2_sparse_classes_30k_test_000847

Implement the Python class `ForgetPwdForm` described below. Class description: Implement the ForgetPwdForm class. Method signatures and docstrings: - def clean_email(self): 验证邮箱字段 - def clean_password_2(self): 验证码密码一致 - def clean_check_code(self): 验证验证码是否正确

Implement the Python class `ForgetPwdForm` described below. Class description: Implement the ForgetPwdForm class. Method signatures and docstrings: - def clean_email(self): 验证邮箱字段 - def clean_password_2(self): 验证码密码一致 - def clean_check_code(self): 验证验证码是否正确 <|skeleton|> class ForgetPwdForm: def clean_email(self...

043889688c2ed55884b8ddde9cdf6949ee52f905

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ForgetPwdForm: def clean_email(self): """验证邮箱字段""" email = self.cleaned_data.get('email') if not User.objects.filter(email=email): raise forms.ValidationError('该邮箱没有被注册, 请重新输入') return email def clean_password_2(self): """验证码密码一致""" password = s...

the_stack_v2_python_sparse

user/forms.py

guojy1314/stw1209

train

0

6a98f55297744e78bb9f9b18aace527e3f882fbe

[ "gobject.GObject.__init__(self)\nself.__root = gio.File(root_dir)\nself.__monitored = False\nself.__monitors = {}\nself.__queue = []\nself.__lock = threading.RLock()", "if property.name == 'monitored':\n return self.__monitored\nelse:\n raise AttributeError('unkown property %s' % property.name)", "if prop...

<|body_start_0|> gobject.GObject.__init__(self) self.__root = gio.File(root_dir) self.__monitored = False self.__monitors = {} self.__queue = [] self.__lock = threading.RLock() <|end_body_0|> <|body_start_1|> if property.name == 'monitored': return se...

Monitors library locations for changes

LibraryMonitor

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033057

4,974

no_license

[ { "docstring": ":param library: the library to monitor :type library: :class:`Library`", "name": "__init__", "signature": "def __init__(self, root_dir)" }, { "docstring": "Gets GObject properties", "name": "do_get_property", "signature": "def do_get_property(self, property)" }, { ...

5

null

Implement the Python class `LibraryMonitor` described below. Class description: Monitors library locations for changes Method signatures and docstrings: - def __init__(self, root_dir): :param library: the library to monitor :type library: :class:`Library` - def do_get_property(self, property): Gets GObject properties...

1b83a035a4dfd57a2ba87c453f6b394d506c98f1

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LibraryMonitor: """Monitors library locations for changes""" def __init__(self, root_dir): """:param library: the library to monitor :type library: :class:`Library`""" gobject.GObject.__init__(self) self.__root = gio.File(root_dir) self.__monitored = False self.__m...

the_stack_v2_python_sparse

modules/individuation/src/monitor.py

electricface/deepin-system-settings

train

0

5542b90fccd52b06da458f3baf60faf126d05868

[ "self.time = deque()\nself.lookup = defaultdict(int)\nself.now = 0", "while self.time and timestamp - self.time[-1] + 1 > 300:\n self.lookup.pop(self.time.pop())\nif timestamp > self.now:\n self.time.appendleft(timestamp)\n self.now = timestamp\nself.lookup[timestamp] += 1", "while self.time and timest...

HitCounter1

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033058

1,884

no_license

[ { "docstring": "Initialize your data structure here.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Record a hit. @param timestamp - The current timestamp (in seconds granularity).", "name": "hit", "signature": "def hit(self, timestamp: int) -> None" }, { ...

3

stack_v2_sparse_classes_30k_train_020702

Implement the Python class `HitCounter1` described below. Class description: Implement the HitCounter1 class. Method signatures and docstrings: - def __init__(self): Initialize your data structure here. - def hit(self, timestamp: int) -> None: Record a hit. @param timestamp - The current timestamp (in seconds granula...

631df2ce6892a6fbb3e435f57e90d85f8200d125

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HitCounter1: def __init__(self): """Initialize your data structure here.""" self.time = deque() self.lookup = defaultdict(int) self.now = 0 def hit(self, timestamp: int) -> None: """Record a hit. @param timestamp - The current timestamp (in seconds granularity)."""...

the_stack_v2_python_sparse

362. Design Hit Counter.py

c940606/leetcode

train

3

c090d4629aa082c25e3ef7af3d6b20f82e4bf8a4

[ "tip_label1 = widgets.Label(u'最优参数grid search暂不支持实时网络数据模式', layout=widgets.Layout(width='300px'))\ntip_label2 = widgets.Label(u\"非沙盒模式需先用'数据下载界面操作'进行下载\", layout=widgets.Layout(width='300px'))\n'沙盒数据与开放数据模式切换'\nself.date_mode = widgets.RadioButtons(options=[u'沙盒数据模式', u'开放数据模式'], value=u'沙盒数据模式' if ABuEnv._g_enable...

<|body_start_0|> tip_label1 = widgets.Label(u'最优参数grid search暂不支持实时网络数据模式', layout=widgets.Layout(width='300px')) tip_label2 = widgets.Label(u"非沙盒模式需先用'数据下载界面操作'进行下载", layout=widgets.Layout(width='300px')) '沙盒数据与开放数据模式切换' self.date_mode = widgets.RadioButtons(options=[u'沙盒数据模式', u'开放数据模式...

策略最优参数grid search

WidgetGridSearch

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033059

4,321

permissive

[ { "docstring": "构建回测需要的各个组件形成tab", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "沙盒与非沙盒数据界面操作转换", "name": "on_data_mode_change", "signature": "def on_data_mode_change(self, change)" }, { "docstring": "运行回测所对应的button按钮", "name": "run_grid_search", ...

3

stack_v2_sparse_classes_30k_train_013462

Implement the Python class `WidgetGridSearch` described below. Class description: 策略最优参数grid search Method signatures and docstrings: - def __init__(self): 构建回测需要的各个组件形成tab - def on_data_mode_change(self, change): 沙盒与非沙盒数据界面操作转换 - def run_grid_search(self, bt): 运行回测所对应的button按钮

Implement the Python class `WidgetGridSearch` described below. Class description: 策略最优参数grid search Method signatures and docstrings: - def __init__(self): 构建回测需要的各个组件形成tab - def on_data_mode_change(self, change): 沙盒与非沙盒数据界面操作转换 - def run_grid_search(self, bt): 运行回测所对应的button按钮 <|skeleton|> class WidgetGridSearch: ...

2e5ab17f2d20deb3c68c927f6208ea89db7c639d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WidgetGridSearch: """策略最优参数grid search""" def __init__(self): """构建回测需要的各个组件形成tab""" tip_label1 = widgets.Label(u'最优参数grid search暂不支持实时网络数据模式', layout=widgets.Layout(width='300px')) tip_label2 = widgets.Label(u"非沙盒模式需先用'数据下载界面操作'进行下载", layout=widgets.Layout(width='300px')) ...

the_stack_v2_python_sparse

abupy/WidgetBu/ABuWGGridSearch.py

luqin/firefly

train

1

28c96e5372d64aa3050c4941c40b0dc74448f081

[ "self.id = id\nself.mark_node_for_removal = mark_node_for_removal\nself.timestamp_secs = timestamp_secs\nself.validation_checks = validation_checks", "if dictionary is None:\n return None\nid = dictionary.get('id')\nmark_node_for_removal = dictionary.get('markNodeForRemoval')\ntimestamp_secs = dictionary.get('...

Implementation of the 'NodeDeleteResult' model. NodeDeleteResult specifies response for mark node for removal Attributes: id (long|int): Id of the node to be marked for deletion. mark_node_for_removal (bool): MarkNodeForRemoval indicates if the node is marked for removal timestamp_secs (long|int): TimestampSecs specifi...

NodeDeleteResult

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NodeDeleteResult: """Implementation of the 'NodeDeleteResult' model. NodeDeleteResult specifies response for mark node for removal Attributes: id (long|int): Id of the node to be marked for deletion. mark_node_for_removal (bool): MarkNodeForRemoval indicates if the node is marked for removal time...

stack_v2_sparse_classes_36k_train_033060

2,719

permissive

[ { "docstring": "Constructor for the NodeDeleteResult class", "name": "__init__", "signature": "def __init__(self, id=None, mark_node_for_removal=None, timestamp_secs=None, validation_checks=None)" }, { "docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary...

2

null

Implement the Python class `NodeDeleteResult` described below. Class description: Implementation of the 'NodeDeleteResult' model. NodeDeleteResult specifies response for mark node for removal Attributes: id (long|int): Id of the node to be marked for deletion. mark_node_for_removal (bool): MarkNodeForRemoval indicates...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class NodeDeleteResult: """Implementation of the 'NodeDeleteResult' model. NodeDeleteResult specifies response for mark node for removal Attributes: id (long|int): Id of the node to be marked for deletion. mark_node_for_removal (bool): MarkNodeForRemoval indicates if the node is marked for removal time...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NodeDeleteResult: """Implementation of the 'NodeDeleteResult' model. NodeDeleteResult specifies response for mark node for removal Attributes: id (long|int): Id of the node to be marked for deletion. mark_node_for_removal (bool): MarkNodeForRemoval indicates if the node is marked for removal timestamp_secs (l...

the_stack_v2_python_sparse

cohesity_management_sdk/models/node_delete_result.py

cohesity/management-sdk-python

train

24

5bda47ff86146e4e4045ff37c948c93e7515fc45

[ "if query:\n search_vector = QueryService.build_search_vector(search_structure)\n term_query = SearchQuery(query)\n results = query_set.annotate(rank=SearchRank(search_vector, term_query)).filter(rank__gte=0.1).order_by('-rank')\nelse:\n results = query_set.all()\nreturn results", "if search_structure...

<|body_start_0|> if query: search_vector = QueryService.build_search_vector(search_structure) term_query = SearchQuery(query) results = query_set.annotate(rank=SearchRank(search_vector, term_query)).filter(rank__gte=0.1).order_by('-rank') else: results = q...

Service class for query related operations

QueryService

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class QueryService: """Service class for query related operations""" def get_query_results(query_set, query, search_structure): """Returns the list of relevant results for the searched query :param query_set: QuerySet of the data to be searched :param query: Query with keywords to be used ...

stack_v2_sparse_classes_36k_train_033061

2,343

no_license

[ { "docstring": "Returns the list of relevant results for the searched query :param query_set: QuerySet of the data to be searched :param query: Query with keywords to be used in search :param search_structure: List of fields to search on and respective weight :return: list of models order by relevance for the s...

3

null

Implement the Python class `QueryService` described below. Class description: Service class for query related operations Method signatures and docstrings: - def get_query_results(query_set, query, search_structure): Returns the list of relevant results for the searched query :param query_set: QuerySet of the data to ...

941e8b2870f8724db3d5103dda5157fd597cfcc7

<|skeleton|> class QueryService: """Service class for query related operations""" def get_query_results(query_set, query, search_structure): """Returns the list of relevant results for the searched query :param query_set: QuerySet of the data to be searched :param query: Query with keywords to be used ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class QueryService: """Service class for query related operations""" def get_query_results(query_set, query, search_structure): """Returns the list of relevant results for the searched query :param query_set: QuerySet of the data to be searched :param query: Query with keywords to be used in search :pa...

the_stack_v2_python_sparse

backend/martin_helder/services/query_service.py

JoaoAlvaroFerreira/FEUP-LGP

train

1

92b3da3313cd58985eebbb4ccc4ae21c47b865b4

[ "self.stevens: Repository = Repository('R:\\\\Stevens\\\\Sem-2\\\\SSW-810\\\\HW_11_Rohan_Ratwani', 'R:\\\\Stevens\\\\Sem-2\\\\SSW-810\\\\HW_11_Rohan_Ratwani\\\\810_Assignments.db')\ncalculated: List = [['10103', 'Jobs, S', ['CS 501', 'SSW 810'], ['SSW 540', 'SSW 555'], [], 3.38], ['10115', 'Bezos, J', ['SSW 810'], ...

<|body_start_0|> self.stevens: Repository = Repository('R:\\Stevens\\Sem-2\\SSW-810\\HW_11_Rohan_Ratwani', 'R:\\Stevens\\Sem-2\\SSW-810\\HW_11_Rohan_Ratwani\\810_Assignments.db') calculated: List = [['10103', 'Jobs, S', ['CS 501', 'SSW 810'], ['SSW 540', 'SSW 555'], [], 3.38], ['10115', 'Bezos, J', ['SS...

Helps to test all the functions

Test

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Test: """Helps to test all the functions""" def test_data_for_Student(self): """This function is used to test data_for_student function's output""" <|body_0|> def test_data_for_Instructor(self): """This function is used to test data_for_instructor function's outp...

stack_v2_sparse_classes_36k_train_033062

3,623

no_license

[ { "docstring": "This function is used to test data_for_student function's output", "name": "test_data_for_Student", "signature": "def test_data_for_Student(self)" }, { "docstring": "This function is used to test data_for_instructor function's output", "name": "test_data_for_Instructor", ...

4

stack_v2_sparse_classes_30k_train_007722

Implement the Python class `Test` described below. Class description: Helps to test all the functions Method signatures and docstrings: - def test_data_for_Student(self): This function is used to test data_for_student function's output - def test_data_for_Instructor(self): This function is used to test data_for_instr...

7fe7bb8518584cc98f00f16d6b1cd0a288254ee3

<|skeleton|> class Test: """Helps to test all the functions""" def test_data_for_Student(self): """This function is used to test data_for_student function's output""" <|body_0|> def test_data_for_Instructor(self): """This function is used to test data_for_instructor function's outp...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Test: """Helps to test all the functions""" def test_data_for_Student(self): """This function is used to test data_for_student function's output""" self.stevens: Repository = Repository('R:\\Stevens\\Sem-2\\SSW-810\\HW_11_Rohan_Ratwani', 'R:\\Stevens\\Sem-2\\SSW-810\\HW_11_Rohan_Ratwani\\...

the_stack_v2_python_sparse

HW_11_Rohan_Ratwani/Student_Repository_Test_Rohan_Ratwani.py

RohanRatwani/SSW-810

train

0

4377d79f27e850611420a7cf846a384261787060

[ "PPI.__init__(self, filename, sql_connection, 'bossi', 'Gene1', 'Gene2', 'ensembl')\nself.has_header = True\nself.file_field_seperator = '\\t'", "src_table = self.get_cur_tmp_table()\ndst_table = self.next_tmp_table()\nsqlquery = 'SELECT Gene1, Gene2 FROM ' + src_table\nsql.new_table_from_query(dst_table, sqlquer...

The PPI network from the Bossi and Lehner paper: http://www.ncbi.nlm.nih.gov/pubmed/19357639 This is a combined network from multiple sources.

Bossi_Lehner

[ "CC-BY-4.0", "MIT", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Bossi_Lehner: """The PPI network from the Bossi and Lehner paper: http://www.ncbi.nlm.nih.gov/pubmed/19357639 This is a combined network from multiple sources.""" def __init__(self, filename, sql_connection): """Creates a new PPI network, with the given filename and sql connection ob...

stack_v2_sparse_classes_36k_train_033063

1,392

permissive

[ { "docstring": "Creates a new PPI network, with the given filename and sql connection object. Parameter: - filename: Filename of the ppi network file. - sql_connection: SQL connection object for the database, into which the PPI network is to be imported.", "name": "__init__", "signature": "def __init__(...

2

stack_v2_sparse_classes_30k_train_000466

Implement the Python class `Bossi_Lehner` described below. Class description: The PPI network from the Bossi and Lehner paper: http://www.ncbi.nlm.nih.gov/pubmed/19357639 This is a combined network from multiple sources. Method signatures and docstrings: - def __init__(self, filename, sql_connection): Creates a new P...

b0a08c412bf4986cc49ee388f5160851147cb7fe

<|skeleton|> class Bossi_Lehner: """The PPI network from the Bossi and Lehner paper: http://www.ncbi.nlm.nih.gov/pubmed/19357639 This is a combined network from multiple sources.""" def __init__(self, filename, sql_connection): """Creates a new PPI network, with the given filename and sql connection ob...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Bossi_Lehner: """The PPI network from the Bossi and Lehner paper: http://www.ncbi.nlm.nih.gov/pubmed/19357639 This is a combined network from multiple sources.""" def __init__(self, filename, sql_connection): """Creates a new PPI network, with the given filename and sql connection object. Paramet...

the_stack_v2_python_sparse

src/pappi/ppis/bossi_lehner.py

gattofrancesco/tsppi

train

0

9f36fc4dee7fef4ff76ff39992ba012bcf394447

[ "feature = FeatureDB.get(id)\nif not feature:\n return abort(message='Feature not found', code=HTTPStatus.NOT_FOUND)\nreturn (feature, HTTPStatus.OK)", "feature = FeatureDB.get(id)\nif not feature:\n return abort(message='Feature not found', code=HTTPStatus.NOT_FOUND)\nfeature.update(api.payload)\nfeature.a...

Get, Update and Delete feature.

Feature

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033064

3,855

permissive

[ { "docstring": "Get feature", "name": "get", "signature": "def get(self, id)" }, { "docstring": "Update feature", "name": "put", "signature": "def put(self, id)" }, { "docstring": "Delete feature", "name": "delete", "signature": "def delete(self, id)" } ]

3

stack_v2_sparse_classes_30k_train_000358

Implement the Python class `Feature` described below. Class description: Get, Update and Delete feature. Method signatures and docstrings: - def get(self, id): Get feature - def put(self, id): Update feature - def delete(self, id): Delete feature

Implement the Python class `Feature` described below. Class description: Get, Update and Delete feature. Method signatures and docstrings: - def get(self, id): Get feature - def put(self, id): Update feature - def delete(self, id): Delete feature <|skeleton|> class Feature: """Get, Update and Delete feature.""" ...

18e9ed6d2a660a9fe188881d4af79af3638cdd73

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Feature: """Get, Update and Delete feature.""" def get(self, id): """Get feature""" feature = FeatureDB.get(id) if not feature: return abort(message='Feature not found', code=HTTPStatus.NOT_FOUND) return (feature, HTTPStatus.OK) def put(self, id): ...

the_stack_v2_python_sparse

requester/api/endpoints/features.py

mrf345/flask_restful_api_production_example

train

1

9e8ed5d5cb61967ca3dc653d8df4a343ec056ae3

[ "validSet = {'1', '2', '3', '4', '5', '6', '7', '8', '9'}\nline = [[] for _ in range(9)]\nrow = [[] for _ in range(9)]\nbox = [[] for _ in range(9)]\nfor x in range(9):\n for y in range(9):\n data = board[x][y]\n z = x // 3 + 3 * (y // 3)\n if data == '.':\n pass\n elif dat...

<|body_start_0|> validSet = {'1', '2', '3', '4', '5', '6', '7', '8', '9'} line = [[] for _ in range(9)] row = [[] for _ in range(9)] box = [[] for _ in range(9)] for x in range(9): for y in range(9): data = board[x][y] z = x // 3 + 3 * ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def isValidSudoku(self, board): """:type board: List[List[str]] :rtype: bool""" <|body_0|> def isValidSudoku1(self, board): """:type board: List[List[str]] :rtype: bool""" <|body_1|> <|end_skeleton|> <|body_start_0|> validSet = {'1', '2', ...

stack_v2_sparse_classes_36k_train_033065

2,183

no_license

[ { "docstring": ":type board: List[List[str]] :rtype: bool", "name": "isValidSudoku", "signature": "def isValidSudoku(self, board)" }, { "docstring": ":type board: List[List[str]] :rtype: bool", "name": "isValidSudoku1", "signature": "def isValidSudoku1(self, board)" } ]

2

stack_v2_sparse_classes_30k_train_012387

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isValidSudoku(self, board): :type board: List[List[str]] :rtype: bool - def isValidSudoku1(self, board): :type board: List[List[str]] :rtype: bool

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isValidSudoku(self, board): :type board: List[List[str]] :rtype: bool - def isValidSudoku1(self, board): :type board: List[List[str]] :rtype: bool <|skeleton|> class Solutio...

863b89be674a82eef60c0f33d726ac08d43f2e01

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def isValidSudoku(self, board): """:type board: List[List[str]] :rtype: bool""" validSet = {'1', '2', '3', '4', '5', '6', '7', '8', '9'} line = [[] for _ in range(9)] row = [[] for _ in range(9)] box = [[] for _ in range(9)] for x in range(9): ...

the_stack_v2_python_sparse

q36_Valid_Sudoku.py

Ryuya1995/leetcode

train

0

28c7565cb588438c403d9c51a49e43678b3ac228

[ "self.bottomleft = []\nself.areas = []\ntotal = 0\nfor rect in rects:\n x1, y1, x2, y2 = rect\n self.bottomleft.append([x1, y1, x2 - x1 + 1])\n total += (y2 - y1 + 1) * (x2 - x1 + 1)\n self.areas.append(total)", "if not self.bottomleft:\n return []\nn = random.randint(1, self.areas[-1])\ni = bisect...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033066

2,440

no_license

[ { "docstring": ":type rects: List[List[int]]", "name": "__init__", "signature": "def __init__(self, rects)" }, { "docstring": ":rtype: List[int]", "name": "pick", "signature": "def pick(self)" } ]

2

stack_v2_sparse_classes_30k_train_016895

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def __init__(self, rects): :type rects: List[List[int]] - def pick(self): :rtype: List[int]

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def __init__(self, rects): :type rects: List[List[int]] - def pick(self): :rtype: List[int] <|skeleton|> class Solution: def __init__(self, rects): """:type rects: ...

188befbfb7080ba1053ee1f7187b177b64cf42d2

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def __init__(self, rects): """:type rects: List[List[int]]""" self.bottomleft = [] self.areas = [] total = 0 for rect in rects: x1, y1, x2, y2 = rect self.bottomleft.append([x1, y1, x2 - x1 + 1]) total += (y2 - y1 + 1) * (x2...

the_stack_v2_python_sparse

0497. Random Point in Non-overlapping Rectangles.py

pwang867/LeetCode-Solutions-Python

train

0

5473cd67a43aeac7ba032a27f3cbf8e0654f8f17

[ "l, r = (0, len(A) - 1)\nwhile l < r:\n mid = int((l + r) / 2)\n if len(A) - 1 > mid > 0 and A[mid + 1] < A[mid] > A[mid - 1]:\n return mid\n elif A[mid] < A[mid + 1]:\n l = mid + 1\n elif A[mid] < A[mid - 1]:\n r = mid - 1\nreturn l", "l, r = (0, len(A))\nwhile l < r:\n mid = ...

<|body_start_0|> l, r = (0, len(A) - 1) while l < r: mid = int((l + r) / 2) if len(A) - 1 > mid > 0 and A[mid + 1] < A[mid] > A[mid - 1]: return mid elif A[mid] < A[mid + 1]: l = mid + 1 elif A[mid] < A[mid - 1]: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033067

2,067

no_license

[ { "docstring": ":type A: List[int] :rtype: int", "name": "peakIndexInMountainArray", "signature": "def peakIndexInMountainArray(self, A)" }, { "docstring": "2020.02.23: Binary search.", "name": "peakIndexInMountainArray2", "signature": "def peakIndexInMountainArray2(self, A)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def peakIndexInMountainArray(self, A): :type A: List[int] :rtype: int - def peakIndexInMountainArray2(self, A): 2020.02.23: Binary search.

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def peakIndexInMountainArray(self, A): :type A: List[int] :rtype: int - def peakIndexInMountainArray2(self, A): 2020.02.23: Binary search. <|skeleton|> class Solution: def ...

a5b02044ef39154b6a8d32eb57682f447e1632ba

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def peakIndexInMountainArray(self, A): """:type A: List[int] :rtype: int""" l, r = (0, len(A) - 1) while l < r: mid = int((l + r) / 2) if len(A) - 1 > mid > 0 and A[mid + 1] < A[mid] > A[mid - 1]: return mid elif A[mid] < A[...

the_stack_v2_python_sparse

algo/binary_search/peak_index_in_a_mountain_array.py

xys234/coding-problems

train

0

0b064402621ad2117faf228067a0d9c6b7c264da

[ "vertex_x_coords_padded, vertex_y_coords_padded = shape_utils.pad_polyline(POLYLINE_X_COORDS, POLYLINE_Y_COORDS, num_padding_vertices=1)\nself.assertTrue(numpy.allclose(vertex_x_coords_padded, POLYLINE_X_COORDS_PADDED1, atol=TOLERANCE))\nself.assertTrue(numpy.allclose(vertex_y_coords_padded, POLYLINE_Y_COORDS_PADDE...

<|body_start_0|> vertex_x_coords_padded, vertex_y_coords_padded = shape_utils.pad_polyline(POLYLINE_X_COORDS, POLYLINE_Y_COORDS, num_padding_vertices=1) self.assertTrue(numpy.allclose(vertex_x_coords_padded, POLYLINE_X_COORDS_PADDED1, atol=TOLERANCE)) self.assertTrue(numpy.allclose(vertex_y_coor...

Each method is a unit test for shape_utils.py.

ShapeUtilsTests

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ShapeUtilsTests: """Each method is a unit test for shape_utils.py.""" def test_pad_polyline_1vertex(self): """Ensures correct output from pad_polyline with one padding vertex.""" <|body_0|> def test_pad_polyline_3vertices(self): """Ensures correct output from pad...

stack_v2_sparse_classes_36k_train_033068

3,833

permissive

[ { "docstring": "Ensures correct output from pad_polyline with one padding vertex.", "name": "test_pad_polyline_1vertex", "signature": "def test_pad_polyline_1vertex(self)" }, { "docstring": "Ensures correct output from pad_polyline with 3 padding vertices.", "name": "test_pad_polyline_3verti...

4

stack_v2_sparse_classes_30k_train_018564

Implement the Python class `ShapeUtilsTests` described below. Class description: Each method is a unit test for shape_utils.py. Method signatures and docstrings: - def test_pad_polyline_1vertex(self): Ensures correct output from pad_polyline with one padding vertex. - def test_pad_polyline_3vertices(self): Ensures co...

1835a71ababb7ad7e47bfa19e62948d466559d56

<|skeleton|> class ShapeUtilsTests: """Each method is a unit test for shape_utils.py.""" def test_pad_polyline_1vertex(self): """Ensures correct output from pad_polyline with one padding vertex.""" <|body_0|> def test_pad_polyline_3vertices(self): """Ensures correct output from pad...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ShapeUtilsTests: """Each method is a unit test for shape_utils.py.""" def test_pad_polyline_1vertex(self): """Ensures correct output from pad_polyline with one padding vertex.""" vertex_x_coords_padded, vertex_y_coords_padded = shape_utils.pad_polyline(POLYLINE_X_COORDS, POLYLINE_Y_COORDS...

the_stack_v2_python_sparse

gewittergefahr/gg_utils/shape_utils_test.py

thunderhoser/GewitterGefahr

train

29

0fec9cb4b8d86dfaea25aec8c1361f09dd7e1b5d

[ "super(Embedding, self).__init__()\nself.N_freqs = N_freqs\nself.in_channels = in_channels\nself.funcs = [torch.sin, torch.cos]\nself.out_channels = in_channels * (len(self.funcs) * N_freqs + 1)\nif logscale:\n self.freq_bands = 2 ** torch.linspace(0, N_freqs - 1, N_freqs)\nelse:\n self.freq_bands = torch.lin...

<|body_start_0|> super(Embedding, self).__init__() self.N_freqs = N_freqs self.in_channels = in_channels self.funcs = [torch.sin, torch.cos] self.out_channels = in_channels * (len(self.funcs) * N_freqs + 1) if logscale: self.freq_bands = 2 ** torch.linspace(0,...

Embedding

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Embedding: def __init__(self, in_channels, N_freqs, logscale=True): """Defines a function that embeds x to (x, sin(2^k x), cos(2^k x), ...) in_channels: number of input channels (3 for both xyz and direction)""" <|body_0|> def forward(self, x): """Embeds x to (x, sin...

stack_v2_sparse_classes_36k_train_033069

18,983

no_license

[ { "docstring": "Defines a function that embeds x to (x, sin(2^k x), cos(2^k x), ...) in_channels: number of input channels (3 for both xyz and direction)", "name": "__init__", "signature": "def __init__(self, in_channels, N_freqs, logscale=True)" }, { "docstring": "Embeds x to (x, sin(2^k x), co...

2

stack_v2_sparse_classes_30k_train_005493

Implement the Python class `Embedding` described below. Class description: Implement the Embedding class. Method signatures and docstrings: - def __init__(self, in_channels, N_freqs, logscale=True): Defines a function that embeds x to (x, sin(2^k x), cos(2^k x), ...) in_channels: number of input channels (3 for both ...

3b6e9d85e77077d1ad3b669fe88799d6a19e6d99

<|skeleton|> class Embedding: def __init__(self, in_channels, N_freqs, logscale=True): """Defines a function that embeds x to (x, sin(2^k x), cos(2^k x), ...) in_channels: number of input channels (3 for both xyz and direction)""" <|body_0|> def forward(self, x): """Embeds x to (x, sin...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Embedding: def __init__(self, in_channels, N_freqs, logscale=True): """Defines a function that embeds x to (x, sin(2^k x), cos(2^k x), ...) in_channels: number of input channels (3 for both xyz and direction)""" super(Embedding, self).__init__() self.N_freqs = N_freqs self.in_c...

the_stack_v2_python_sparse

models/nert.py

jcn16/nert

train

0

b837c1414ace1a5cc77be7187b5b71198cc56783

[ "self.images_path = images_path\nself.masks_path = masks_path\nself.sort_flag = sort_flag", "masks_path = self.masks_path\nif self.sort_flag:\n masks_path = sorted(masks_path)\nmasks_pixes_num = list()\nfor index, mask_path in enumerate(masks_path):\n mask_pixes_num = self.cal_mask_pixes(mask_path)\n mas...

DatasetsStatic

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DatasetsStatic: def __init__(self, images_path, masks_path, sort_flag=False): """Args: data_root: 数据集的根目录 image_folder: 样本文件夹名 mask_folder: 掩膜文件夹名 sort_flag: bool，是否对样本路径进行排序""" <|body_0|> def mask_static_level(self, level=16): """依照掩膜的大小，按照指定的等级数对各样本包含的掩膜进行分级""" ...

stack_v2_sparse_classes_36k_train_033070

20,672

no_license

[ { "docstring": "Args: data_root: 数据集的根目录 image_folder: 样本文件夹名 mask_folder: 掩膜文件夹名 sort_flag: bool，是否对样本路径进行排序", "name": "__init__", "signature": "def __init__(self, images_path, masks_path, sort_flag=False)" }, { "docstring": "依照掩膜的大小，按照指定的等级数对各样本包含的掩膜进行分级", "name": "mask_static_level", ...

6

stack_v2_sparse_classes_30k_train_015237

Implement the Python class `DatasetsStatic` described below. Class description: Implement the DatasetsStatic class. Method signatures and docstrings: - def __init__(self, images_path, masks_path, sort_flag=False): Args: data_root: 数据集的根目录 image_folder: 样本文件夹名 mask_folder: 掩膜文件夹名 sort_flag: bool，是否对样本路径进行排序 - def mask...

7ff0bbcc223b16d63cf1c74ef7f20cd2025f1608

<|skeleton|> class DatasetsStatic: def __init__(self, images_path, masks_path, sort_flag=False): """Args: data_root: 数据集的根目录 image_folder: 样本文件夹名 mask_folder: 掩膜文件夹名 sort_flag: bool，是否对样本路径进行排序""" <|body_0|> def mask_static_level(self, level=16): """依照掩膜的大小，按照指定的等级数对各样本包含的掩膜进行分级""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DatasetsStatic: def __init__(self, images_path, masks_path, sort_flag=False): """Args: data_root: 数据集的根目录 image_folder: 样本文件夹名 mask_folder: 掩膜文件夹名 sort_flag: bool，是否对样本路径进行排序""" self.images_path = images_path self.masks_path = masks_path self.sort_flag = sort_flag def mask...

the_stack_v2_python_sparse

dataset.py

jiudawn/hualu_segmentation_jiuda

train

0

8c02a58ef5136866c03e7b7dd308f076bc2868bb

[ "row = len(triangle)\ncol = len(triangle[-1])\ndp = [[float('Inf')] * col for i in range(row)]\ndp[0][0] = triangle[0][0]\nfor j in range(1, row):\n dp[j][0] = dp[j - 1][0] + triangle[j][0]\nfor i in range(1, row):\n for j in range(1, len(triangle[i])):\n dp[i][j] = min(dp[i - 1][j - 1], dp[i - 1][j]) ...

<|body_start_0|> row = len(triangle) col = len(triangle[-1]) dp = [[float('Inf')] * col for i in range(row)] dp[0][0] = triangle[0][0] for j in range(1, row): dp[j][0] = dp[j - 1][0] + triangle[j][0] for i in range(1, row): for j in range(1, len(tr...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033071

2,863

no_license

[ { "docstring": ":type triangle: List[List[int]] :rtype: int", "name": "minimumTotal", "signature": "def minimumTotal(self, triangle)" }, { "docstring": ":type triangle: List[List[int]] :rtype: int", "name": "minimumTotal2", "signature": "def minimumTotal2(self, triangle)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def minimumTotal(self, triangle): :type triangle: List[List[int]] :rtype: int - def minimumTotal2(self, triangle): :type triangle: List[List[int]] :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def minimumTotal(self, triangle): :type triangle: List[List[int]] :rtype: int - def minimumTotal2(self, triangle): :type triangle: List[List[int]] :rtype: int <|skeleton|> class...

604efd2c53c369fb262f42f7f7f31997ea4d029b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def minimumTotal(self, triangle): """:type triangle: List[List[int]] :rtype: int""" row = len(triangle) col = len(triangle[-1]) dp = [[float('Inf')] * col for i in range(row)] dp[0][0] = triangle[0][0] for j in range(1, row): dp[j][0] = dp[...

the_stack_v2_python_sparse

120_Triangle.py

fxy1018/Leetcode

train

1

7c55dba11c97d19906c76e4df0ae9385c53cdbbf

[ "if cleanup:\n logger.warning('cleanup is not supported by the buildah backend')\nsuper(BuildahBackend, self).__init__(logging_level=logging_level, logging_kwargs=logging_kwargs, cleanup=cleanup)", "raw_version = run_cmd(['buildah', 'version'], return_output=True)\nregex = re.compile('Version:\\\\s*(\\\\d+)\\\...

For more info on using the Backend classes, see documentation of the parent :class:`conu.apidefs.backend.Backend` class.

BuildahBackend

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BuildahBackend: """For more info on using the Backend classes, see documentation of the parent :class:`conu.apidefs.backend.Backend` class.""" def __init__(self, logging_level=logging.INFO, logging_kwargs=None, cleanup=None): """This method serves as a configuration interface for con...

stack_v2_sparse_classes_36k_train_033072

4,737

permissive

[ { "docstring": "This method serves as a configuration interface for conu. :param logging_level: int, control logger verbosity: see logging.{DEBUG,INFO,ERROR} :param logging_kwargs: dict, additional keyword arguments for logger set up, for more info see docstring of set_logging function :param cleanup: unsupport...

6

stack_v2_sparse_classes_30k_train_016680

Implement the Python class `BuildahBackend` described below. Class description: For more info on using the Backend classes, see documentation of the parent :class:`conu.apidefs.backend.Backend` class. Method signatures and docstrings: - def __init__(self, logging_level=logging.INFO, logging_kwargs=None, cleanup=None)...

f6c3b9a07483ef5a22d3c22df38994d93b56ea0c

<|skeleton|> class BuildahBackend: """For more info on using the Backend classes, see documentation of the parent :class:`conu.apidefs.backend.Backend` class.""" def __init__(self, logging_level=logging.INFO, logging_kwargs=None, cleanup=None): """This method serves as a configuration interface for con...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BuildahBackend: """For more info on using the Backend classes, see documentation of the parent :class:`conu.apidefs.backend.Backend` class.""" def __init__(self, logging_level=logging.INFO, logging_kwargs=None, cleanup=None): """This method serves as a configuration interface for conu. :param log...

the_stack_v2_python_sparse

conu/backend/buildah/backend.py

user-cont/conu

train

100

f77cf5544bb7f755622b225e47ef082aef7dba3e

[ "res = []\nstack = []\nwhile stack or root:\n if root:\n stack.append(root)\n root = root.left\n else:\n node = stack.pop()\n res.append(node.val)\n root = node.right\nreturn res", "res = []\nstack = []\nwhile stack or root:\n if root:\n res.append(root.val)\n ...

<|body_start_0|> res = [] stack = [] while stack or root: if root: stack.append(root) root = root.left else: node = stack.pop() res.append(node.val) root = node.right return res <|end_...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033073

2,252

no_license

[ { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "inorder", "signature": "def inorder(self, root)" }, { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "preorder", "signature": "def preorder(self, root)" }, { "docstring": ":type root: TreeNode :rtyp...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def inorder(self, root): :type root: TreeNode :rtype: List[int] - def preorder(self, root): :type root: TreeNode :rtype: List[int] - def postorder(self, root): :type root: TreeNo...

f3ec3e6a82ad092bc5d83732af582dc987da6aac

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def inorder(self, root): """:type root: TreeNode :rtype: List[int]""" res = [] stack = [] while stack or root: if root: stack.append(root) root = root.left else: node = stack.pop() ...

the_stack_v2_python_sparse

stack_tree_iterative_traversal.py

lonelyarcher/leetcode.python3

train

0

e7da091e9fb09a3a7097c497c0c6e12e031fd769

[ "super(CsvExpressionSum, self).__init__()\nself.threads = threads\nreturn", "if self._thread_column is None:\n if self.threads > 1:\n thread = '-1'\n else:\n thread = bran.INTEGER\n self._thread_column = bran.NAMED(ParserKeys.thread, thread)\nreturn self._thread_column" ]

Changes the thread column to look for -1 if needed

CsvExpressionSum

[ "LicenseRef-scancode-unknown-license-reference", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CsvExpressionSum: """Changes the thread column to look for -1 if needed""" def __init__(self, threads=4): """:param: - `threads`: the number of parallel threads""" <|body_0|> def thread_column(self): """:return: the expression to match the thread (sum) column""" ...

stack_v2_sparse_classes_36k_train_033074

9,671

permissive

[ { "docstring": ":param: - `threads`: the number of parallel threads", "name": "__init__", "signature": "def __init__(self, threads=4)" }, { "docstring": ":return: the expression to match the thread (sum) column", "name": "thread_column", "signature": "def thread_column(self)" } ]

2

null

Implement the Python class `CsvExpressionSum` described below. Class description: Changes the thread column to look for -1 if needed Method signatures and docstrings: - def __init__(self, threads=4): :param: - `threads`: the number of parallel threads - def thread_column(self): :return: the expression to match the th...

2007bf3fe66edfe704e485141c55caed54fe13aa

<|skeleton|> class CsvExpressionSum: """Changes the thread column to look for -1 if needed""" def __init__(self, threads=4): """:param: - `threads`: the number of parallel threads""" <|body_0|> def thread_column(self): """:return: the expression to match the thread (sum) column""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CsvExpressionSum: """Changes the thread column to look for -1 if needed""" def __init__(self, threads=4): """:param: - `threads`: the number of parallel threads""" super(CsvExpressionSum, self).__init__() self.threads = threads return def thread_column(self): ...

the_stack_v2_python_sparse

utils/iperflexer/sumparser.py

AndriyZabavskyy/taf

train

0

ffe6c2fb8d0d870d0a344837f9cbf85cc64d8bfa

[ "super(Aggregator, self).__init__()\nprint('\\nLoading patch model from [%s]...' % args.patch_snapshot)\ntry:\n patch_model = torch.load(args.patch_snapshot).cpu()\n self.patch_model = strip_model(patch_model)\nexcept Exception as e:\n raise Exception(\"Couldn't load patch model at {}. Error: {}\".format(a...

<|body_start_0|> super(Aggregator, self).__init__() print('\nLoading patch model from [%s]...' % args.patch_snapshot) try: patch_model = torch.load(args.patch_snapshot).cpu() self.patch_model = strip_model(patch_model) except Exception as e: raise Exce...

Aggregator

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Aggregator: def __init__(self, args): """Given some a patch model, add add some FC layers and a shortcut to make whole image prediction""" <|body_0|> def forward(self, x): """param x: a batch of image tensors returns hidden: last hidden layer of model (as if wrapper ...

stack_v2_sparse_classes_36k_train_033075

1,832

permissive

[ { "docstring": "Given some a patch model, add add some FC layers and a shortcut to make whole image prediction", "name": "__init__", "signature": "def __init__(self, args)" }, { "docstring": "param x: a batch of image tensors returns hidden: last hidden layer of model (as if wrapper wasn't appli...

2

stack_v2_sparse_classes_30k_train_006403

Implement the Python class `Aggregator` described below. Class description: Implement the Aggregator class. Method signatures and docstrings: - def __init__(self, args): Given some a patch model, add add some FC layers and a shortcut to make whole image prediction - def forward(self, x): param x: a batch of image ten...

12bace8fd6ce9c5bb129fd0d30a46a00a2f7b054

<|skeleton|> class Aggregator: def __init__(self, args): """Given some a patch model, add add some FC layers and a shortcut to make whole image prediction""" <|body_0|> def forward(self, x): """param x: a batch of image tensors returns hidden: last hidden layer of model (as if wrapper ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Aggregator: def __init__(self, args): """Given some a patch model, add add some FC layers and a shortcut to make whole image prediction""" super(Aggregator, self).__init__() print('\nLoading patch model from [%s]...' % args.patch_snapshot) try: patch_model = torch.l...

the_stack_v2_python_sparse

onconet/models/aggregator.py

yala/Mirai

train

66

45f9a14b40a5267d1d89f337bfd4211fda452139

[ "all_cpis = []\nall_modules = []\nall_submods = []\nfor sub_class in configurator.common.Configurator.__subclasses__():\n all_cpis.append((sub_class.module(sub_class), sub_class.submod(sub_class)))\n all_modules.append(sub_class.module(sub_class))\n all_submods.append(sub_class.submod(sub_class))\nself.get...

<|body_start_0|> all_cpis = [] all_modules = [] all_submods = [] for sub_class in configurator.common.Configurator.__subclasses__(): all_cpis.append((sub_class.module(sub_class), sub_class.submod(sub_class))) all_modules.append(sub_class.module(sub_class)) ...

The configurator plugin

CPI

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CPI: """The configurator plugin""" def __init__(self): """Initialize. :param: None :returns: None :raises: None""" <|body_0|> def get_configurators(cls, module=None, submod=None): """Get configurators of 'module'.'submod'. :param module(optional): %s :param submo...

stack_v2_sparse_classes_36k_train_033076

7,577

no_license

[ { "docstring": "Initialize. :param: None :returns: None :raises: None", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Get configurators of 'module'.'submod'. :param module(optional): %s :param submod(optional): %s :returns list: Success, all found configurators or null...

3

stack_v2_sparse_classes_30k_test_000077

Implement the Python class `CPI` described below. Class description: The configurator plugin Method signatures and docstrings: - def __init__(self): Initialize. :param: None :returns: None :raises: None - def get_configurators(cls, module=None, submod=None): Get configurators of 'module'.'submod'. :param module(optio...

e4f257d00305849b9a52a033651da09412436785

<|skeleton|> class CPI: """The configurator plugin""" def __init__(self): """Initialize. :param: None :returns: None :raises: None""" <|body_0|> def get_configurators(cls, module=None, submod=None): """Get configurators of 'module'.'submod'. :param module(optional): %s :param submo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CPI: """The configurator plugin""" def __init__(self): """Initialize. :param: None :returns: None :raises: None""" all_cpis = [] all_modules = [] all_submods = [] for sub_class in configurator.common.Configurator.__subclasses__(): all_cpis.append((sub_c...

the_stack_v2_python_sparse

analysis/plugin/plugin.py

hanxinke/A-Tune

train

0

ad5f4c1d3892b2f80d5778aa0dc0a89af7d42e64

[ "d = departmentmanage(self.driver)\nd.open_departmentmanage()\nself.assertEqual(d.verify(), True)\nd.deptstatus()\nd.delete()\nself.assertEqual(d.result(), '您确定要删除这条信息吗')\nd.confirm()\nself.assertEqual(d.result(), '删除成功')\nfunction.screenshot(self.driver, 'delete_department.jpg')", "d = departmentmanage(self.driv...

<|body_start_0|> d = departmentmanage(self.driver) d.open_departmentmanage() self.assertEqual(d.verify(), True) d.deptstatus() d.delete() self.assertEqual(d.result(), '您确定要删除这条信息吗') d.confirm() self.assertEqual(d.result(), '删除成功') function.screensh...

Test029_Department_Delete_P1

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033077

1,179

no_license

[ { "docstring": "删除部门", "name": "test_department_delete", "signature": "def test_department_delete(self)" }, { "docstring": "取消删除部门", "name": "test_department_cancle", "signature": "def test_department_cancle(self)" } ]

2

null

Implement the Python class `Test029_Department_Delete_P1` described below. Class description: Implement the Test029_Department_Delete_P1 class. Method signatures and docstrings: - def test_department_delete(self): 删除部门 - def test_department_cancle(self): 取消删除部门

Implement the Python class `Test029_Department_Delete_P1` described below. Class description: Implement the Test029_Department_Delete_P1 class. Method signatures and docstrings: - def test_department_delete(self): 删除部门 - def test_department_cancle(self): 取消删除部门 <|skeleton|> class Test029_Department_Delete_P1: d...

6f42c25249fc642cecc270578a180820988d45b5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Test029_Department_Delete_P1: def test_department_delete(self): """删除部门""" d = departmentmanage(self.driver) d.open_departmentmanage() self.assertEqual(d.verify(), True) d.deptstatus() d.delete() self.assertEqual(d.result(), '您确定要删除这条信息吗') d.conf...

the_stack_v2_python_sparse

GlxssLive_web/TestCase/Manage_Department/Test029_department_delete_P1.py

rrmiracle/GlxssLive

train

0

6c4d9949932869d2ee3d09f7f84de31b1e3b235a

[ "super().__init__()\nself.cache_file = cache_file\nself.image_batcher = None\nself.batch_allocation = None\nself.batch_generator = None", "self.image_batcher = image_batcher\nsize = int(np.dtype(self.image_batcher.dtype).itemsize * np.prod(self.image_batcher.shape))\nself.batch_allocation = common.cuda_call(cudar...

Implements the INT8 Entropy Calibrator 2.

EngineCalibrator

[ "Apache-2.0", "BSD-3-Clause", "MIT", "ISC", "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EngineCalibrator: """Implements the INT8 Entropy Calibrator 2.""" def __init__(self, cache_file): """:param cache_file: The location of the cache file.""" <|body_0|> def set_image_batcher(self, image_batcher: ImageBatcher): """Define the image batcher to use, if ...

stack_v2_sparse_classes_36k_train_033078

14,578

permissive

[ { "docstring": ":param cache_file: The location of the cache file.", "name": "__init__", "signature": "def __init__(self, cache_file)" }, { "docstring": "Define the image batcher to use, if any. If using only the cache file, an image batcher doesn't need to be defined. :param image_batcher: The ...

6

null

Implement the Python class `EngineCalibrator` described below. Class description: Implements the INT8 Entropy Calibrator 2. Method signatures and docstrings: - def __init__(self, cache_file): :param cache_file: The location of the cache file. - def set_image_batcher(self, image_batcher: ImageBatcher): Define the imag...

a167852705d74bcc619d8fad0af4b9e4d84472fc

<|skeleton|> class EngineCalibrator: """Implements the INT8 Entropy Calibrator 2.""" def __init__(self, cache_file): """:param cache_file: The location of the cache file.""" <|body_0|> def set_image_batcher(self, image_batcher: ImageBatcher): """Define the image batcher to use, if ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EngineCalibrator: """Implements the INT8 Entropy Calibrator 2.""" def __init__(self, cache_file): """:param cache_file: The location of the cache file.""" super().__init__() self.cache_file = cache_file self.image_batcher = None self.batch_allocation = None ...

the_stack_v2_python_sparse

samples/python/efficientdet/build_engine.py

NVIDIA/TensorRT

train

8,026

94ba6f1b4f062ce9f899a3a0130cb63235d5f015

[ "try:\n file = File.objects.get(pk=pk)\nexcept ObjectDoesNotExist:\n return Response(status=status.HTTP_404_NOT_FOUND)\nif request.user.is_authenticated:\n serializer = FileSerializer(file)\n return Response(serializer.data)\nreturn Response(status=status.HTTP_401_UNAUTHORIZED)", "try:\n file = Fil...

<|body_start_0|> try: file = File.objects.get(pk=pk) except ObjectDoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if request.user.is_authenticated: serializer = FileSerializer(file) return Response(serializer.data) return Re...

Retrieve or delete a File.

FileDetail

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033079

3,371

permissive

[ { "docstring": "Send the File corresponding to the given key.", "name": "get", "signature": "def get(self, request, pk)" }, { "docstring": "Delete the File corresponding to the given key.", "name": "delete", "signature": "def delete(self, request, pk)" } ]

2

stack_v2_sparse_classes_30k_train_015039

Implement the Python class `FileDetail` described below. Class description: Retrieve or delete a File. Method signatures and docstrings: - def get(self, request, pk): Send the File corresponding to the given key. - def delete(self, request, pk): Delete the File corresponding to the given key.

Implement the Python class `FileDetail` described below. Class description: Retrieve or delete a File. Method signatures and docstrings: - def get(self, request, pk): Send the File corresponding to the given key. - def delete(self, request, pk): Delete the File corresponding to the given key. <|skeleton|> class File...

56511ebac83a5dc1fb8768a98bc675e88530a447

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FileDetail: """Retrieve or delete a File.""" def get(self, request, pk): """Send the File corresponding to the given key.""" try: file = File.objects.get(pk=pk) except ObjectDoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if request....

the_stack_v2_python_sparse

maintenancemanagement/views/views_file.py

Open-CMMS/openCMMS_backend

train

4

a7fe7294e09e383e52d36047b31bc2a4ba4c01e2

[ "node_tb = {}\nfor i in xrange(n):\n node_tb[i] = GraphNode(i)\nfor edge in edges:\n node_tb[edge[0]].neighbors.add(edge[1])\n node_tb[edge[1]].neighbors.add(edge[0])\nvisited = sets.Set([0])\nloop = self._validTreeHelper(0, node_tb, visited)\nif loop:\n return False\nelse:\n return len(visited) == n...

<|body_start_0|> node_tb = {} for i in xrange(n): node_tb[i] = GraphNode(i) for edge in edges: node_tb[edge[0]].neighbors.add(edge[1]) node_tb[edge[1]].neighbors.add(edge[0]) visited = sets.Set([0]) loop = self._validTreeHelper(0, node_tb, visi...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033080

2,145

no_license

[ { "docstring": ":type n: int :type edges: List[List[int]] :rtype: bool", "name": "validTree", "signature": "def validTree(self, n, edges)" }, { "docstring": "Used to check if there is a loop in the graph", "name": "_validTreeHelper", "signature": "def _validTreeHelper(self, start, node_t...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def validTree(self, n, edges): :type n: int :type edges: List[List[int]] :rtype: bool - def _validTreeHelper(self, start, node_tb, visited): Used to check if there is a loop in t...

fe089c76a4e0b9266c563e9bc731a21065d2b502

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def validTree(self, n, edges): """:type n: int :type edges: List[List[int]] :rtype: bool""" node_tb = {} for i in xrange(n): node_tb[i] = GraphNode(i) for edge in edges: node_tb[edge[0]].neighbors.add(edge[1]) node_tb[edge[1]].neigh...

the_stack_v2_python_sparse

Candice_coding/Leetcode/Graph_Valid_Tree.py

kikijtl/coding

train

0

5c175ee625eeb113853583bc163e1592c8f39e98

[ "if not nums:\n return 0\nn = len(nums)\nyes, no = ([0] * n, [0] * n)\nyes[0], no[0] = (nums[0], 0)\nfor i in range(1, n):\n yes[i] = nums[i] + no[i - 1]\n no[i] = max(no[i - 1], yes[i - 1])\nreturn max(yes[-1], no[-1])", "if not nums:\n return 0\nyes, no = (0, 0)\nfor i in nums:\n yes, no = (i + n...

<|body_start_0|> if not nums: return 0 n = len(nums) yes, no = ([0] * n, [0] * n) yes[0], no[0] = (nums[0], 0) for i in range(1, n): yes[i] = nums[i] + no[i - 1] no[i] = max(no[i - 1], yes[i - 1]) return max(yes[-1], no[-1]) <|end_body_...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033081

1,292

no_license

[ { "docstring": "动态规划 O(n) time O(n) space", "name": "rob", "signature": "def rob(self, nums: list) -> int" }, { "docstring": "动态规划-优化 O(n) time O(1) space", "name": "rob_2", "signature": "def rob_2(self, nums: list) -> int" } ]

2

stack_v2_sparse_classes_30k_train_002846

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def rob(self, nums: list) -> int: 动态规划 O(n) time O(n) space - def rob_2(self, nums: list) -> int: 动态规划-优化 O(n) time O(1) space

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def rob(self, nums: list) -> int: 动态规划 O(n) time O(n) space - def rob_2(self, nums: list) -> int: 动态规划-优化 O(n) time O(1) space <|skeleton|> class Solution: def rob(self, nu...

3508e1ce089131b19603c3206aab4cf43023bb19

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def rob(self, nums: list) -> int: """动态规划 O(n) time O(n) space""" if not nums: return 0 n = len(nums) yes, no = ([0] * n, [0] * n) yes[0], no[0] = (nums[0], 0) for i in range(1, n): yes[i] = nums[i] + no[i - 1] no[i]...

the_stack_v2_python_sparse

algorithm/leetcode/dp/01-打家劫舍.py

lxconfig/UbuntuCode_bak

train

0

ff78e93cf8b10cadbe8d0fe157321741af4d096f

[ "super(InfoMix, self).__init__()\nself.view_loss_weight = view_loss_weight\nself.regularization_loss_weight = regularization_loss_weight\nself.encoder = get_encoder(embedding_dim, embedder_type)\nself.subencoder = get_encoder(embedding_dim, models.TYPE_EMBEDDER_POINT)\nself.subencoder.blocks = [block for block in s...

<|body_start_0|> super(InfoMix, self).__init__() self.view_loss_weight = view_loss_weight self.regularization_loss_weight = regularization_loss_weight self.encoder = get_encoder(embedding_dim, embedder_type) self.subencoder = get_encoder(embedding_dim, models.TYPE_EMBEDDER_POINT)...

Model for InfoMix.

InfoMix

[ "Apache-2.0", "CC-BY-4.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class InfoMix: """Model for InfoMix.""" def __init__(self, embedding_dim, embedder_type, view_loss_weight=1.0, regularization_loss_weight=1.0): """Initializer. Args: embedding_dim: An integer for the dimension of the embedding. embedder_type: A string for the type of the embedder. view_los...

stack_v2_sparse_classes_36k_train_033082

40,948

permissive

[ { "docstring": "Initializer. Args: embedding_dim: An integer for the dimension of the embedding. embedder_type: A string for the type of the embedder. view_loss_weight: A float for the weight of view loss. regularization_loss_weight: A float for the weight of regularization loss.", "name": "__init__", "...

4

null

Implement the Python class `InfoMix` described below. Class description: Model for InfoMix. Method signatures and docstrings: - def __init__(self, embedding_dim, embedder_type, view_loss_weight=1.0, regularization_loss_weight=1.0): Initializer. Args: embedding_dim: An integer for the dimension of the embedding. embed...

5573d9c5822f4e866b6692769963ae819cb3f10d

<|skeleton|> class InfoMix: """Model for InfoMix.""" def __init__(self, embedding_dim, embedder_type, view_loss_weight=1.0, regularization_loss_weight=1.0): """Initializer. Args: embedding_dim: An integer for the dimension of the embedding. embedder_type: A string for the type of the embedder. view_los...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class InfoMix: """Model for InfoMix.""" def __init__(self, embedding_dim, embedder_type, view_loss_weight=1.0, regularization_loss_weight=1.0): """Initializer. Args: embedding_dim: An integer for the dimension of the embedding. embedder_type: A string for the type of the embedder. view_loss_weight: A f...

the_stack_v2_python_sparse

poem/cv_mim/algorithms.py

Jimmy-INL/google-research

train

1

54314de91c376b6d65932a3e8917281dedbf3d97

[ "self._client = VarlinkClient(address=self._context.uri)\nself._iface = self._client.open(self._context.interface)\nreturn self._iface", "if hasattr(self._client, 'close'):\n self._client.close()\nself._iface.close()\nif isinstance(e, VarlinkError):\n raise error_factory(e)" ]

Context manager for API workers to access varlink.

LocalClient

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033083

7,078

permissive

[ { "docstring": "Enter context for LocalClient.", "name": "__enter__", "signature": "def __enter__(self)" }, { "docstring": "Cleanup context for LocalClient.", "name": "__exit__", "signature": "def __exit__(self, e_type, e, e_traceback)" } ]

2

null

Implement the Python class `LocalClient` described below. Class description: Context manager for API workers to access varlink. Method signatures and docstrings: - def __enter__(self): Enter context for LocalClient. - def __exit__(self, e_type, e, e_traceback): Cleanup context for LocalClient.

Implement the Python class `LocalClient` described below. Class description: Context manager for API workers to access varlink. Method signatures and docstrings: - def __enter__(self): Enter context for LocalClient. - def __exit__(self, e_type, e, e_traceback): Cleanup context for LocalClient. <|skeleton|> class Loc...

ce2a8734f8b4203ec38078207297062263c49f6f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LocalClient: """Context manager for API workers to access varlink.""" def __enter__(self): """Enter context for LocalClient.""" self._client = VarlinkClient(address=self._context.uri) self._iface = self._client.open(self._context.interface) return self._iface def __ex...

the_stack_v2_python_sparse

tobiko/podman/_podman1/client.py

FedericoRessi/tobiko

train

1

98758779ac024e6df5054b5b1ddbff07ef4d9ecd

[ "heap_ = nums[:k]\nheapq.heapify(heap_)\nfor i in range(k, len(nums)):\n heapq.heappushpop(heap_, nums[i])\nreturn heapq.heappop(heap_)", "def select(nums, k):\n m = nums.pop(len(nums) // 2)\n larger = [n for n in nums if n > m]\n ll = len(larger)\n if k <= ll:\n return select(larger, k)\n ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033084

1,081

no_license

[ { "docstring": ":type nums: List[int] :type k: int :rtype: int", "name": "findKthLargest", "signature": "def findKthLargest(self, nums, k)" }, { "docstring": ":type nums: List[int] :type k: int :rtype: int", "name": "findKthLargest", "signature": "def findKthLargest(self, nums, k)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int <|skeleton|...

63b7eedc720c1ce14880b80744dcd5ef7107065c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findKthLargest(self, nums, k): """:type nums: List[int] :type k: int :rtype: int""" heap_ = nums[:k] heapq.heapify(heap_) for i in range(k, len(nums)): heapq.heappushpop(heap_, nums[i]) return heapq.heappop(heap_) def findKthLargest(self, ...

the_stack_v2_python_sparse

problems/findKthLargest.py

joddiy/leetcode

train

1

f306e44a195d1175628ba089569393ba03e39409

[ "length = len(nums)\nif length == 0:\n return False\nlastPos = length - 1\nfor i in range(lastPos, -1, -1):\n if nums[i] + i >= lastPos:\n lastPos = i\nreturn lastPos == 0", "maxs = 0\nfor i in range(len(nums) - 1):\n maxs = max(nums[i], maxs - 1)\n if maxs == 0:\n return False\nreturn T...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def canJump1(self, nums): """:type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%""" <|body_0|> def canJump2(self, nums): """:type nums: List[int] :rtype: bool 时间复杂度O(n)：80ms beaten 95.70% 空间复杂度O(n): 13.2MB beaten ...

stack_v2_sparse_classes_36k_train_033085

1,989

permissive

[ { "docstring": ":type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%", "name": "canJump1", "signature": "def canJump1(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: bool 时间复杂度O(n)：80ms beaten 95.70% 空间复杂度O(n): 13.2MB beaten 46.28%", "...

2

stack_v2_sparse_classes_30k_train_000078

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def canJump1(self, nums): :type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48% - def canJump2(self, nums): :type nums: List[int] :rtype...

a2e5256f27dbfb23fc34119fc857cd9b00e28c03

<|skeleton|> class Solution: def canJump1(self, nums): """:type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%""" <|body_0|> def canJump2(self, nums): """:type nums: List[int] :rtype: bool 时间复杂度O(n)：80ms beaten 95.70% 空间复杂度O(n): 13.2MB beaten ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def canJump1(self, nums): """:type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%""" length = len(nums) if length == 0: return False lastPos = length - 1 for i in range(lastPos, -1, -1): if num...

the_stack_v2_python_sparse

toTheMoon/leetcode_055_JumpGame.py

jercas/offer66-leetcode-newcode

train

0

c5e0dad4cc0eed51beef649c18f3b2d6113f20b9

[ "self.n_kernels = n_kernels\nself.n_strides = n_strides\nself.dropout = dropout\nself.norm_type = normalization\nself.activation_type = activation", "if padding:\n activation = Conv2D(filters=n_filters, kernel_size=n_kernels if n_kernels else self.n_kernels, strides=n_strides if n_strides else self.n_strides, ...

Class to create Patch blocks for the Discriminator.

PatchBlock

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PatchBlock: """Class to create Patch blocks for the Discriminator.""" def __init__(self, n_kernels, n_strides, dropout, activation, normalization): """Initialize the Patchblock. Args: n_kernels (int): Number of kernels for Conv2D. n_strides (int): Stride size. dropout (float): Includ...

stack_v2_sparse_classes_36k_train_033086

11,636

no_license

[ { "docstring": "Initialize the Patchblock. Args: n_kernels (int): Number of kernels for Conv2D. n_strides (int): Stride size. dropout (float): Include dropout for intermediate layers. activation (str): Type of activation layer to use. normalization (str): Type of normalization layer to use.", "name": "__ini...

2

stack_v2_sparse_classes_30k_train_008541

Implement the Python class `PatchBlock` described below. Class description: Class to create Patch blocks for the Discriminator. Method signatures and docstrings: - def __init__(self, n_kernels, n_strides, dropout, activation, normalization): Initialize the Patchblock. Args: n_kernels (int): Number of kernels for Conv...

1b953d87968dac46ebbc9b1d5c254ea9493ee328

<|skeleton|> class PatchBlock: """Class to create Patch blocks for the Discriminator.""" def __init__(self, n_kernels, n_strides, dropout, activation, normalization): """Initialize the Patchblock. Args: n_kernels (int): Number of kernels for Conv2D. n_strides (int): Stride size. dropout (float): Includ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PatchBlock: """Class to create Patch blocks for the Discriminator.""" def __init__(self, n_kernels, n_strides, dropout, activation, normalization): """Initialize the Patchblock. Args: n_kernels (int): Number of kernels for Conv2D. n_strides (int): Stride size. dropout (float): Include dropout for...

the_stack_v2_python_sparse

fmlwright/trainer/neural_networks/blocks.py

rgresia-umd/fml-wright

train

0

b24f4b98c8df80041d8dc934fde8b274f7089787

[ "super(PictureAdminForm, self).__init__(*args, **kwargs)\ntry:\n self.fields['weight'].required = False\n self.fields['author'].required = False\n self.fields['image'].required = False\n self.fields['image'].widget = PictureInlineWidget()\n self.fields['image'].help_text = _('You can also enter an UR...

<|body_start_0|> super(PictureAdminForm, self).__init__(*args, **kwargs) try: self.fields['weight'].required = False self.fields['author'].required = False self.fields['image'].required = False self.fields['image'].widget = PictureInlineWidget() ...

Formulaire admin des images

PictureAdminForm

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033087

5,812

no_license

[ { "docstring": "Initialiser l'objet", "name": "__init__", "signature": "def __init__(self, *args, **kwargs)" }, { "docstring": "Valider les données du formulaire et formater", "name": "clean", "signature": "def clean(self)" } ]

2

null

Implement the Python class `PictureAdminForm` described below. Class description: Formulaire admin des images Method signatures and docstrings: - def __init__(self, *args, **kwargs): Initialiser l'objet - def clean(self): Valider les données du formulaire et formater

Implement the Python class `PictureAdminForm` described below. Class description: Formulaire admin des images Method signatures and docstrings: - def __init__(self, *args, **kwargs): Initialiser l'objet - def clean(self): Valider les données du formulaire et formater <|skeleton|> class PictureAdminForm: """Formu...

8cef6f6e89c1990e2b25f83e54e0c3481d83b6d7

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PictureAdminForm: """Formulaire admin des images""" def __init__(self, *args, **kwargs): """Initialiser l'objet""" super(PictureAdminForm, self).__init__(*args, **kwargs) try: self.fields['weight'].required = False self.fields['author'].required = False ...

the_stack_v2_python_sparse

scoop/content/forms/picture.py

artscoop/scoop

train

0

1a18452edd3191d2097e01d810e859f0d883b8ca

[ "super(DecoderWithPositionLayer, self).__init__()\nself.attention0 = Attention(queries_dropout=queries_dropout, keys_dropout=keys_dropout, values_dropout=values_dropout, causal=causal)\nself.block0 = Block(hidden_size, input_size * 3, **kwargs)\nself.pos_embedding = tf.keras.layers.Dense(input_size, **kwargs)\nself...

<|body_start_0|> super(DecoderWithPositionLayer, self).__init__() self.attention0 = Attention(queries_dropout=queries_dropout, keys_dropout=keys_dropout, values_dropout=values_dropout, causal=causal) self.block0 = Block(hidden_size, input_size * 3, **kwargs) self.pos_embedding = tf.keras...

DecoderWithPositionLayer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DecoderWithPositionLayer: def __init__(self, input_size, hidden_size, heads, queries_dropout=0.0, keys_dropout=0.0, values_dropout=0.0, causal=True, **kwargs): """Creates a Transformer decoder layer by applying a multi head attention layer Arguments: input_size: int the number of units i...

stack_v2_sparse_classes_36k_train_033088

8,096

no_license

[ { "docstring": "Creates a Transformer decoder layer by applying a multi head attention layer Arguments: input_size: int the number of units in the input tensor to this layer also the output size of the model hidden_size: int the number of units in the hidden variables used in each multi head attention layer hea...

3

stack_v2_sparse_classes_30k_train_006107

Implement the Python class `DecoderWithPositionLayer` described below. Class description: Implement the DecoderWithPositionLayer class. Method signatures and docstrings: - def __init__(self, input_size, hidden_size, heads, queries_dropout=0.0, keys_dropout=0.0, values_dropout=0.0, causal=True, **kwargs): Creates a Tr...

c155b16265f13d87be0108fcf815517491b93a74

<|skeleton|> class DecoderWithPositionLayer: def __init__(self, input_size, hidden_size, heads, queries_dropout=0.0, keys_dropout=0.0, values_dropout=0.0, causal=True, **kwargs): """Creates a Transformer decoder layer by applying a multi head attention layer Arguments: input_size: int the number of units i...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DecoderWithPositionLayer: def __init__(self, input_size, hidden_size, heads, queries_dropout=0.0, keys_dropout=0.0, values_dropout=0.0, causal=True, **kwargs): """Creates a Transformer decoder layer by applying a multi head attention layer Arguments: input_size: int the number of units in the input te...

the_stack_v2_python_sparse

indigo/nn/layers/decoder_with_position_layer.py

mlberkeley/indigo

train

4

3e56e0bc6a88cfed99a3b9a024311f14daa90b10

[ "super(Cont_RDB, self).__init__()\nself.InChan = InChannel\nself.OutChan = OutChannel\nself.G = growRate\nself.C = nConvLayers\nif self.InChan != self.G:\n self.InConv = nn.Conv2d(self.InChan, self.G, 1, padding=0, stride=1)\nif self.OutChan != self.G and self.OutChan != self.InChan:\n self.OutConv = nn.Conv2...

<|body_start_0|> super(Cont_RDB, self).__init__() self.InChan = InChannel self.OutChan = OutChannel self.G = growRate self.C = nConvLayers if self.InChan != self.G: self.InConv = nn.Conv2d(self.InChan, self.G, 1, padding=0, stride=1) if self.OutChan !=...

Contextual residual dense block.

Cont_RDB

[ "Apache-2.0", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Cont_RDB: """Contextual residual dense block.""" def __init__(self, InChannel, OutChannel, growRate, nConvLayers, kSize=3): """Initialize Block. :param InChannel: channel number of input :type InChannel: int :param OutChannel: channel number of output :type OutChannel: int :param gro...

stack_v2_sparse_classes_36k_train_033089

13,650

permissive

[ { "docstring": "Initialize Block. :param InChannel: channel number of input :type InChannel: int :param OutChannel: channel number of output :type OutChannel: int :param growRate: growth rate of block :type growRate: int :param nConvLayers: the number of convlution layer :type nConvLayers: int :param kSize: ker...

2

stack_v2_sparse_classes_30k_train_007701

Implement the Python class `Cont_RDB` described below. Class description: Contextual residual dense block. Method signatures and docstrings: - def __init__(self, InChannel, OutChannel, growRate, nConvLayers, kSize=3): Initialize Block. :param InChannel: channel number of input :type InChannel: int :param OutChannel: ...

df51ed9c1d6dbde1deef63f2a037a369f8554406

<|skeleton|> class Cont_RDB: """Contextual residual dense block.""" def __init__(self, InChannel, OutChannel, growRate, nConvLayers, kSize=3): """Initialize Block. :param InChannel: channel number of input :type InChannel: int :param OutChannel: channel number of output :type OutChannel: int :param gro...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Cont_RDB: """Contextual residual dense block.""" def __init__(self, InChannel, OutChannel, growRate, nConvLayers, kSize=3): """Initialize Block. :param InChannel: channel number of input :type InChannel: int :param OutChannel: channel number of output :type OutChannel: int :param growRate: growth...

the_stack_v2_python_sparse

built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/search_space/networks/pytorch/esrbodys/erdb_esr.py

Huawei-Ascend/modelzoo

train

1

c69f7d248f570cf75ae54d99dca51c684939ca8a

[ "if proctitle:\n self.proctitle = proctitle\nelif setproctitle:\n self.proctitle = setproctitle.getproctitle()\nelse:\n self.proctitle = 'ray_worker'\nself.pid = pid or os.getpid()\nself.ip = ip or ray.services.get_node_ip_address()\nself.function_name = function_name\nself.traceback_str = traceback_str\ns...

<|body_start_0|> if proctitle: self.proctitle = proctitle elif setproctitle: self.proctitle = setproctitle.getproctitle() else: self.proctitle = 'ray_worker' self.pid = pid or os.getpid() self.ip = ip or ray.services.get_node_ip_address() ...

Indicates that a task threw an exception during execution. If a task throws an exception during execution, a RayTaskError is stored in the object store for each of the task's outputs. When an object is retrieved from the object store, the Python method that retrieved it checks to see if the object is a RayTaskError and...

RayTaskError

[ "Apache-2.0", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RayTaskError: """Indicates that a task threw an exception during execution. If a task throws an exception during execution, a RayTaskError is stored in the object store for each of the task's outputs. When an object is retrieved from the object store, the Python method that retrieved it checks to...

stack_v2_sparse_classes_36k_train_033090

5,517

permissive

[ { "docstring": "Initialize a RayTaskError.", "name": "__init__", "signature": "def __init__(self, function_name, traceback_str, cause_cls, proctitle=None, pid=None, ip=None)" }, { "docstring": "Returns copy that is an instance of the cause's Python class. The returned exception will inherit from...

3

null

Implement the Python class `RayTaskError` described below. Class description: Indicates that a task threw an exception during execution. If a task throws an exception during execution, a RayTaskError is stored in the object store for each of the task's outputs. When an object is retrieved from the object store, the Py...

62bb26d5d04343e339d014f302a9fbacbd4482d7

<|skeleton|> class RayTaskError: """Indicates that a task threw an exception during execution. If a task throws an exception during execution, a RayTaskError is stored in the object store for each of the task's outputs. When an object is retrieved from the object store, the Python method that retrieved it checks to...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RayTaskError: """Indicates that a task threw an exception during execution. If a task throws an exception during execution, a RayTaskError is stored in the object store for each of the task's outputs. When an object is retrieved from the object store, the Python method that retrieved it checks to see if the o...

the_stack_v2_python_sparse

python/ray/exceptions.py

stephanie-wang/ray

train

4

228d14886b3dc0ccde6ac02482c5c5d907547bc3

[ "base_dtype = [('P0', (np.float32, 3), '!local', (0, 0, 0)), ('P1', (np.float32, 3), '!local', (0, 0, 0)), ('index', (np.float32, 1), '!local', 0), ('color', (np.float32, 4), 'shared', (0, 0, 0, 1)), ('linewidth', (np.float32, 1), 'shared', 1), ('antialias', (np.float32, 1), 'shared', 1)]\ndtype = base_dtype\nif us...

<|body_start_0|> base_dtype = [('P0', (np.float32, 3), '!local', (0, 0, 0)), ('P1', (np.float32, 3), '!local', (0, 0, 0)), ('index', (np.float32, 1), '!local', 0), ('color', (np.float32, 4), 'shared', (0, 0, 0, 1)), ('linewidth', (np.float32, 1), 'shared', 1), ('antialias', (np.float32, 1), 'shared', 1)] ...

Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost.

AggSegmentCollection

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AggSegmentCollection: """Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost.""" def __init__(self, user_dtype=None, trans...

stack_v2_sparse_classes_36k_train_033091

5,126

permissive

[ { "docstring": "Initialize the collection. Parameters ---------- user_dtype: list The base dtype can be completed (appended) by the used_dtype. It only make sense if user also provide vertex and/or fragment shaders transform: glumpy.Transforms The default vertex shader apply the supplied transform to the vertic...

2

stack_v2_sparse_classes_30k_train_002558

Implement the Python class `AggSegmentCollection` described below. Class description: Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost. Method si...

75408635bd46e48ff10939e308a71eafdaff35e8

<|skeleton|> class AggSegmentCollection: """Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost.""" def __init__(self, user_dtype=None, trans...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AggSegmentCollection: """Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost.""" def __init__(self, user_dtype=None, transform=None, vi...

the_stack_v2_python_sparse

glumpy/graphics/collections/agg_segment_collection.py

glumpy/glumpy

train

1,228

83238cad5086cb919db6ddc32f64a9c663348006

[ "file_list = []\nfor root, _, files in os.walk(path):\n for f in files:\n if log_filenames_re.match(f):\n filename = os.path.join(root, f)\n modtime = datetime.fromtimestamp(os.path.getmtime(filename)).strftime('%m/%d/%Y %H:%M:%S')\n file_list.append([filename, modtime])\n...

<|body_start_0|> file_list = [] for root, _, files in os.walk(path): for f in files: if log_filenames_re.match(f): filename = os.path.join(root, f) modtime = datetime.fromtimestamp(os.path.getmtime(filename)).strftime('%m/%d/%Y %H:%M:%S...

LogFilesManager

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033092

2,618

no_license

[ { "docstring": "Returns list of .log files recursed into logfile dir", "name": "list_logfiles", "signature": "def list_logfiles(self, path=settings.LOGGING_ROOT)" }, { "docstring": "Returns array of counts for pagination", "name": "get_file_lines_count", "signature": "def get_file_lines_...

4

null

Implement the Python class `LogFilesManager` described below. Class description: Implement the LogFilesManager class. Method signatures and docstrings: - def list_logfiles(self, path=settings.LOGGING_ROOT): Returns list of .log files recursed into logfile dir - def get_file_lines_count(self, logfile): Returns array o...

d0be90d610879bde0004baceac969cb02fc67d1c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LogFilesManager: def list_logfiles(self, path=settings.LOGGING_ROOT): """Returns list of .log files recursed into logfile dir""" file_list = [] for root, _, files in os.walk(path): for f in files: if log_filenames_re.match(f): filename = ...

the_stack_v2_python_sparse

mdcom/MHLogin/Logs/utils.py

DongHuaLu/mdcom

train

0

f95c21747e1138c18742f474651a3ba08acf832f

[ "context = super(FieldCreate, self).get_context_data(self.kwargs['project_id'], self.kwargs['category_id'], **kwargs)\ncontext['fieldtypes'] = Field.get_field_types()\nreturn context", "request = self.request\ndata = form.cleaned_data\ncategory = Category.objects.as_admin(self.request.user, self.kwargs['project_i...

Creat field page.

FieldCreate

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FieldCreate: """Creat field page.""" def get_context_data(self, data=None, **kwargs): """Return the context to render the view. Overwrite the method to add available field types the context. Parameters ---------- project_id : int Identifies the project in the database. category_id : ...

stack_v2_sparse_classes_36k_train_033093

31,602

permissive

[ { "docstring": "Return the context to render the view. Overwrite the method to add available field types the context. Parameters ---------- project_id : int Identifies the project in the database. category_id : int Identifies the category in the database. Returns ------- dict Context.", "name": "get_context...

2

null

Implement the Python class `FieldCreate` described below. Class description: Creat field page. Method signatures and docstrings: - def get_context_data(self, data=None, **kwargs): Return the context to render the view. Overwrite the method to add available field types the context. Parameters ---------- project_id : i...

16d31b5207de9f699fc01054baad1fe65ad1c3ca

<|skeleton|> class FieldCreate: """Creat field page.""" def get_context_data(self, data=None, **kwargs): """Return the context to render the view. Overwrite the method to add available field types the context. Parameters ---------- project_id : int Identifies the project in the database. category_id : ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FieldCreate: """Creat field page.""" def get_context_data(self, data=None, **kwargs): """Return the context to render the view. Overwrite the method to add available field types the context. Parameters ---------- project_id : int Identifies the project in the database. category_id : int Identifie...

the_stack_v2_python_sparse

geokey/categories/views.py

NeolithEra/geokey

train

0

e5884c4eecd2966be58b30a4de13af8ac3c10eec

[ "pr = [[[0] * K for j in range(N)] for i in range(N)]\n\ndef probab(N, K, r, c):\n if K == 0:\n return 1\n elif pr[r][c][K - 1] > 0:\n return pr[r][c][K - 1]\n p = 0\n for move in [[1, 2], [2, 1], [-1, 2], [-2, 1], [-1, -2], [-2, -1], [1, -2], [2, -1]]:\n rr, cc = (r + move[0], c + ...

<|body_start_0|> pr = [[[0] * K for j in range(N)] for i in range(N)] def probab(N, K, r, c): if K == 0: return 1 elif pr[r][c][K - 1] > 0: return pr[r][c][K - 1] p = 0 for move in [[1, 2], [2, 1], [-1, 2], [-2, 1], [-1, -2...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033094

3,065

no_license

[ { "docstring": ":type N: int :type K: int :type r: int :type c: int :rtype: float", "name": "knightProbability", "signature": "def knightProbability(self, N, K, r, c)" }, { "docstring": ":type N: int :type K: int :type r: int :type c: int :rtype: float", "name": "knightProbability2", "si...

2

stack_v2_sparse_classes_30k_train_006311

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def knightProbability(self, N, K, r, c): :type N: int :type K: int :type r: int :type c: int :rtype: float - def knightProbability2(self, N, K, r, c): :type N: int :type K: int :...

30b7d5acec716b7d754141835fc8bafe4411437e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def knightProbability(self, N, K, r, c): """:type N: int :type K: int :type r: int :type c: int :rtype: float""" pr = [[[0] * K for j in range(N)] for i in range(N)] def probab(N, K, r, c): if K == 0: return 1 elif pr[r][c][K - 1] > 0:...

the_stack_v2_python_sparse

688.py

MajestyLee/leetcode_TopInterview

train

0

63f19762c3cd44d05cd3dc51f3cb193ce3e5d93b

[ "routing_table_file = open(routing_table_file_name, 'rb')\nrouting_table = pickle.load(routing_table_file)\nrouting_table_file.close()\nreturn routing_table", "pickle_file_name = 'picked_routing_table_for_{}_{}'.format(routing_table.x, routing_table.y)\npickle_file_path = os.path.join(binary_directory, pickle_fil...

<|body_start_0|> routing_table_file = open(routing_table_file_name, 'rb') routing_table = pickle.load(routing_table_file) routing_table_file.close() return routing_table <|end_body_0|> <|body_start_1|> pickle_file_name = 'picked_routing_table_for_{}_{}'.format(routing_table.x, r...

A routing table to be reloaded

ReloadRoutingTable

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ReloadRoutingTable: """A routing table to be reloaded""" def reload(routing_table_file_name): """Reload a routing table via a pickled filename :param routing_table_file_name: the file name for the pickled routeing table :return: None""" <|body_0|> def store(binary_direct...

stack_v2_sparse_classes_36k_train_033095

1,109

permissive

[ { "docstring": "Reload a routing table via a pickled filename :param routing_table_file_name: the file name for the pickled routeing table :return: None", "name": "reload", "signature": "def reload(routing_table_file_name)" }, { "docstring": "Store a routing table in pickled form :param binary_d...

2

stack_v2_sparse_classes_30k_train_009801

Implement the Python class `ReloadRoutingTable` described below. Class description: A routing table to be reloaded Method signatures and docstrings: - def reload(routing_table_file_name): Reload a routing table via a pickled filename :param routing_table_file_name: the file name for the pickled routeing table :return...

04fa1eaf78778edea3ba3afa4c527d20c491718e

<|skeleton|> class ReloadRoutingTable: """A routing table to be reloaded""" def reload(routing_table_file_name): """Reload a routing table via a pickled filename :param routing_table_file_name: the file name for the pickled routeing table :return: None""" <|body_0|> def store(binary_direct...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ReloadRoutingTable: """A routing table to be reloaded""" def reload(routing_table_file_name): """Reload a routing table via a pickled filename :param routing_table_file_name: the file name for the pickled routeing table :return: None""" routing_table_file = open(routing_table_file_name, '...

the_stack_v2_python_sparse

src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/spinn_front_end_common/utilities/reload/reload_routing_table.py

Roboy/LSM_SpiNNaker_MyoArm

train

2

1c76ef21101d052f057298c5b3f23375a3e8acbe

[ "self.current_sentence = ''\nself.data_dict = defaultdict(int)\nfor i in range(len(sentences)):\n self.data_dict[sentences[i]] = times[i]", "if c == '#':\n self.data_dict[self.current_sentence] += 1\n self.current_sentence = ''\nelse:\n self.current_sentence += c\n curr_search_list = []\n len_cu...

AutocompleteSystem

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_033096

2,553

no_license

[ { "docstring": ":type sentences: List[str] :type times: List[int]", "name": "__init__", "signature": "def __init__(self, sentences, times)" }, { "docstring": ":type c: str :rtype: List[str]", "name": "input", "signature": "def input(self, c)" } ]

2

null

Implement the Python class `AutocompleteSystem` described below. Class description: Implement the AutocompleteSystem class. Method signatures and docstrings: - def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int] - def input(self, c): :type c: str :rtype: List[str]

Implement the Python class `AutocompleteSystem` described below. Class description: Implement the AutocompleteSystem class. Method signatures and docstrings: - def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int] - def input(self, c): :type c: str :rtype: List[str] <|skeleton|> cla...

a9b2de06306f3929a82ef4e6613c972e9a2c2200

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AutocompleteSystem: def __init__(self, sentences, times): """:type sentences: List[str] :type times: List[int]""" self.current_sentence = '' self.data_dict = defaultdict(int) for i in range(len(sentences)): self.data_dict[sentences[i]] = times[i] def input(self...

the_stack_v2_python_sparse

Array_Manipulations/Design_Search_Autocomplete_System.py

anantvir/Leetcode-Problems

train

1

a58e4160d68b175df5879c1827ff418d3db60558

[ "taskPath = self.basePath / taskName\nkeys: Set[str] = set()\nif taskPath.is_dir():\n keys.update((path.name for path in taskPath.iterdir()))\nreturn keys", "valuePath = self.basePath / taskName / key\nfor run in runIds:\n try:\n with open(valuePath / run) as inp:\n value = inp.readline()\...

ResultStorage

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ResultStorage: def getCustomKeys(self, taskName: str) -> Set[str]: """Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key.""" <|body_0|...

stack_v2_sparse_classes_36k_train_033097

2,681

permissive

[ { "docstring": "Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key.", "name": "getCustomKeys", "signature": "def getCustomKeys(self, taskName: str) -> Set[str...

3

null

Implement the Python class `ResultStorage` described below. Class description: Implement the ResultStorage class. Method signatures and docstrings: - def getCustomKeys(self, taskName: str) -> Set[str]: Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one ...

0ecf899f66a1fb046ee869cbfa3b5374b3f8aa14

<|skeleton|> class ResultStorage: def getCustomKeys(self, taskName: str) -> Set[str]: """Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key.""" <|body_0|...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ResultStorage: def getCustomKeys(self, taskName: str) -> Set[str]: """Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key.""" taskPath = self.basePat...

the_stack_v2_python_sparse

src/softfab/resultlib.py

boxingbeetle/softfab

train

20

0364f1974d37932f097d0ef8424bca2f563cba0f

[ "Package.__init__(self, model)\nnrow, ncol, nlay, nper = self.parent.nrow_ncol_nlay_nper\nself.unit_number = [29, 53]\nself.extension = extension\nself.file_name = [self.parent.name + '.' + self.extension, fname_output]\nself.name = ['SWI', 'DATA(BINARY)']\nself.heading = '# Salt Water Intrusion package file for MO...

<|body_start_0|> Package.__init__(self, model) nrow, ncol, nlay, nper = self.parent.nrow_ncol_nlay_nper self.unit_number = [29, 53] self.extension = extension self.file_name = [self.parent.name + '.' + self.extension, fname_output] self.name = ['SWI', 'DATA(BINARY)'] ...

Salt Water Intrusion (SWI) package class Parameters ---------- model : model object The model object (of type :class:`flopy.modflow.mf.Modflow`) to which this package will be added. npln : int number of active surfaces (interfaces). This equals the number of zones minus one. (default is 1). istrat : int flag indicating...

ModflowSwi

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ModflowSwi: """Salt Water Intrusion (SWI) package class Parameters ---------- model : model object The model object (of type :class:`flopy.modflow.mf.Modflow`) to which this package will be added. npln : int number of active surfaces (interfaces). This equals the number of zones minus one. (defau...

stack_v2_sparse_classes_36k_train_033098

7,669

permissive

[ { "docstring": "Package constructor.", "name": "__init__", "signature": "def __init__(self, model, npln=1, istrat=1, iswizt=53, nprn=1, toeslope=0.05, tipslope=0.05, zetamin=0.005, delzeta=0.05, nu=0.025, zeta=[], ssz=[], isource=0, extension='swi', fname_output='swi.zta')" }, { "docstring": "Wr...

3

stack_v2_sparse_classes_30k_train_013261

Implement the Python class `ModflowSwi` described below. Class description: Salt Water Intrusion (SWI) package class Parameters ---------- model : model object The model object (of type :class:`flopy.modflow.mf.Modflow`) to which this package will be added. npln : int number of active surfaces (interfaces). This equal...

7f73a30300645be66e8952f653e03d91ceddbac3

<|skeleton|> class ModflowSwi: """Salt Water Intrusion (SWI) package class Parameters ---------- model : model object The model object (of type :class:`flopy.modflow.mf.Modflow`) to which this package will be added. npln : int number of active surfaces (interfaces). This equals the number of zones minus one. (defau...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ModflowSwi: """Salt Water Intrusion (SWI) package class Parameters ---------- model : model object The model object (of type :class:`flopy.modflow.mf.Modflow`) to which this package will be added. npln : int number of active surfaces (interfaces). This equals the number of zones minus one. (default is 1). ist...

the_stack_v2_python_sparse

flopy/modflow/mfswi.py

visr/flopy

train

0

f44e97691dab25cc4a87f43c0438723163d80bd0

[ "for location, pascal_value in self.knownValues:\n result = explore_pascals_triangle.C(location[0], location[1])\n self.assertEqual(pascal_value, result)", "for location, pascal_value in self.knownValues:\n result = explore_pascals_triangle.calc_pascal_value(location[0], location[1])\n self.assertEqua...

TestProblem1

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestProblem1: def test_method_C_to_known_values(self): """C function should give known result with known input""" <|body_0|> def test_method_calc_pascal_value_to_known_values(self): """calc_pascal_value function should give known result with known input""" <|...

stack_v2_sparse_classes_36k_train_033099

1,035

no_license

[ { "docstring": "C function should give known result with known input", "name": "test_method_C_to_known_values", "signature": "def test_method_C_to_known_values(self)" }, { "docstring": "calc_pascal_value function should give known result with known input", "name": "test_method_calc_pascal_va...

2

stack_v2_sparse_classes_30k_train_001085

Implement the Python class `TestProblem1` described below. Class description: Implement the TestProblem1 class. Method signatures and docstrings: - def test_method_C_to_known_values(self): C function should give known result with known input - def test_method_calc_pascal_value_to_known_values(self): calc_pascal_value...

9a21945735add7739b062be4cd016525c592f23d

<|skeleton|> class TestProblem1: def test_method_C_to_known_values(self): """C function should give known result with known input""" <|body_0|> def test_method_calc_pascal_value_to_known_values(self): """calc_pascal_value function should give known result with known input""" <|...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestProblem1: def test_method_C_to_known_values(self): """C function should give known result with known input""" for location, pascal_value in self.knownValues: result = explore_pascals_triangle.C(location[0], location[1]) self.assertEqual(pascal_value, result) de...

the_stack_v2_python_sparse

test_pascal_triangle_values.py

afcarl/python-algorithms-1

train

0