blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
22b92e34cb8bf252142bc752fa9155bd5338d960 | [
"enctypeValues = ['multipart/form-data', 'application/x-www-form-urlencoded']\nif enctype not in enctypeValues:\n raise ArgumentError('Class Form. method not in %s' % enctypeValues)\nmethodValues = ['post', 'get']\nif method not in methodValues:\n raise ArgumentError('Class Form. method not in %s' % methodVal... | <|body_start_0|>
enctypeValues = ['multipart/form-data', 'application/x-www-form-urlencoded']
if enctype not in enctypeValues:
raise ArgumentError('Class Form. method not in %s' % enctypeValues)
methodValues = ['post', 'get']
if method not in methodValues:
raise A... | Model for a *form tag* `<form></form>` in HTML language | Form | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Form:
"""Model for a *form tag* `<form></form>` in HTML language"""
def __init__(self, content, action, enctype='multipart/form-data', method='post', _id='', classtype=''):
"""Form class initializer. :parameters: - `content`: Content of the form. Usually with text and input elements ... | stack_v2_sparse_classes_75kplus_train_004400 | 10,222 | no_license | [
{
"docstring": "Form class initializer. :parameters: - `content`: Content of the form. Usually with text and input elements inside. *(string).* - `action`: Indicates the URL which processes the form data. *(string).* - `enctype`: Type of codification: \"multipart/form-data\" or \"application/x-www-form-urlencod... | 2 | stack_v2_sparse_classes_30k_train_022543 | Implement the Python class `Form` described below.
Class description:
Model for a *form tag* `<form></form>` in HTML language
Method signatures and docstrings:
- def __init__(self, content, action, enctype='multipart/form-data', method='post', _id='', classtype=''): Form class initializer. :parameters: - `content`: C... | Implement the Python class `Form` described below.
Class description:
Model for a *form tag* `<form></form>` in HTML language
Method signatures and docstrings:
- def __init__(self, content, action, enctype='multipart/form-data', method='post', _id='', classtype=''): Form class initializer. :parameters: - `content`: C... | 5e86cfca61df47a59afdda4722953b8acf019290 | <|skeleton|>
class Form:
"""Model for a *form tag* `<form></form>` in HTML language"""
def __init__(self, content, action, enctype='multipart/form-data', method='post', _id='', classtype=''):
"""Form class initializer. :parameters: - `content`: Content of the form. Usually with text and input elements ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Form:
"""Model for a *form tag* `<form></form>` in HTML language"""
def __init__(self, content, action, enctype='multipart/form-data', method='post', _id='', classtype=''):
"""Form class initializer. :parameters: - `content`: Content of the form. Usually with text and input elements inside. *(str... | the_stack_v2_python_sparse | cgi-bin/module_Web.py | jose-pulido/WPBSS | train | 0 |
94613be4e16a63d810e2e3eba72cca1fb763254f | [
"try:\n import unstructured\nexcept ImportError:\n raise ValueError('unstructured package not found, please install it with `pip install unstructured`')\nself.urls = urls",
"from unstructured.partition.html import partition_html\ndocs: List[Document] = list()\nfor url in self.urls:\n elements = partition... | <|body_start_0|>
try:
import unstructured
except ImportError:
raise ValueError('unstructured package not found, please install it with `pip install unstructured`')
self.urls = urls
<|end_body_0|>
<|body_start_1|>
from unstructured.partition.html import partition_... | Loader that uses unstructured to load HTML files. | UnstructuredURLLoader | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnstructuredURLLoader:
"""Loader that uses unstructured to load HTML files."""
def __init__(self, urls: List[str]):
"""Initialize with file path."""
<|body_0|>
def load(self) -> List[Document]:
"""Load file."""
<|body_1|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_75kplus_train_004401 | 1,059 | permissive | [
{
"docstring": "Initialize with file path.",
"name": "__init__",
"signature": "def __init__(self, urls: List[str])"
},
{
"docstring": "Load file.",
"name": "load",
"signature": "def load(self) -> List[Document]"
}
] | 2 | null | Implement the Python class `UnstructuredURLLoader` described below.
Class description:
Loader that uses unstructured to load HTML files.
Method signatures and docstrings:
- def __init__(self, urls: List[str]): Initialize with file path.
- def load(self) -> List[Document]: Load file. | Implement the Python class `UnstructuredURLLoader` described below.
Class description:
Loader that uses unstructured to load HTML files.
Method signatures and docstrings:
- def __init__(self, urls: List[str]): Initialize with file path.
- def load(self) -> List[Document]: Load file.
<|skeleton|>
class UnstructuredUR... | b8f29af7f3c24cf3a4554bebfa2053064467fbdb | <|skeleton|>
class UnstructuredURLLoader:
"""Loader that uses unstructured to load HTML files."""
def __init__(self, urls: List[str]):
"""Initialize with file path."""
<|body_0|>
def load(self) -> List[Document]:
"""Load file."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnstructuredURLLoader:
"""Loader that uses unstructured to load HTML files."""
def __init__(self, urls: List[str]):
"""Initialize with file path."""
try:
import unstructured
except ImportError:
raise ValueError('unstructured package not found, please instal... | the_stack_v2_python_sparse | langchain/document_loaders/url.py | microsoft/MM-REACT | train | 705 |
e092232d2590065e5006df17a75f70e39d5a04ad | [
"s = self[sector]\ns.terrain = terrain\ns.OnStateChange()\nself.OnSignal(TerrainChangeSignal(self.mediums, sector, terrain))",
"name, value = resource\ns = self[sector]\nif not value:\n if name in s.resources:\n del s.resources[name]\n else:\n return\nelse:\n s.resources[name] = value"
] | <|body_start_0|>
s = self[sector]
s.terrain = terrain
s.OnStateChange()
self.OnSignal(TerrainChangeSignal(self.mediums, sector, terrain))
<|end_body_0|>
<|body_start_1|>
name, value = resource
s = self[sector]
if not value:
if name in s.resources:
... | A space describing a world made up of sectors that include terrain. | TerrainSpace | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TerrainSpace:
"""A space describing a world made up of sectors that include terrain."""
def SetTerrain(self, sector, terrain):
"""Set the terrain for the given sector."""
<|body_0|>
def SetResource(self, sector, resource):
"""Set the specified resource for this s... | stack_v2_sparse_classes_75kplus_train_004402 | 4,551 | no_license | [
{
"docstring": "Set the terrain for the given sector.",
"name": "SetTerrain",
"signature": "def SetTerrain(self, sector, terrain)"
},
{
"docstring": "Set the specified resource for this sector. The resource argument is a (name, value) pair describing the resource.",
"name": "SetResource",
... | 2 | stack_v2_sparse_classes_30k_train_050492 | Implement the Python class `TerrainSpace` described below.
Class description:
A space describing a world made up of sectors that include terrain.
Method signatures and docstrings:
- def SetTerrain(self, sector, terrain): Set the terrain for the given sector.
- def SetResource(self, sector, resource): Set the specifie... | Implement the Python class `TerrainSpace` described below.
Class description:
A space describing a world made up of sectors that include terrain.
Method signatures and docstrings:
- def SetTerrain(self, sector, terrain): Set the terrain for the given sector.
- def SetResource(self, sector, resource): Set the specifie... | 1e68c771cf041a6951d1c853dd20f99a4b5e7eb5 | <|skeleton|>
class TerrainSpace:
"""A space describing a world made up of sectors that include terrain."""
def SetTerrain(self, sector, terrain):
"""Set the terrain for the given sector."""
<|body_0|>
def SetResource(self, sector, resource):
"""Set the specified resource for this s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TerrainSpace:
"""A space describing a world made up of sectors that include terrain."""
def SetTerrain(self, sector, terrain):
"""Set the terrain for the given sector."""
s = self[sector]
s.terrain = terrain
s.OnStateChange()
self.OnSignal(TerrainChangeSignal(self.... | the_stack_v2_python_sparse | simulation/space.py | gregr/uriel | train | 0 |
09ff974d03ba24a1dcb439dca17d475edb2ab07b | [
"entity_normalizer_kwargs = _resolve_kwargs(kwargs=entity_normalizer_kwargs, default_kwargs=self.default_entity_normalizer_kwargs)\nentity_initializer_kwargs = self._update_embedding_init_with_default(entity_initializer_kwargs, embedding_dim=embedding_dim)\nrelation_initializer_kwargs = self._update_embedding_init_... | <|body_start_0|>
entity_normalizer_kwargs = _resolve_kwargs(kwargs=entity_normalizer_kwargs, default_kwargs=self.default_entity_normalizer_kwargs)
entity_initializer_kwargs = self._update_embedding_init_with_default(entity_initializer_kwargs, embedding_dim=embedding_dim)
relation_initializer_kwa... | An implementation of PairRE from [chao2020]_. --- citation: author: Chao year: 2020 link: http://arxiv.org/abs/2011.03798 github: alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE | PairRE | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PairRE:
"""An implementation of PairRE from [chao2020]_. --- citation: author: Chao year: 2020 link: http://arxiv.org/abs/2011.03798 github: alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE"""
def __init__(self, embedding_dim: int=200, p: int=1, power_norm: bool=False, entity_i... | stack_v2_sparse_classes_75kplus_train_004403 | 6,053 | permissive | [
{
"docstring": "Initialize PairRE via the :class:`pykeen.nn.modules.PairREInteraction` interaction. :param embedding_dim: The entity embedding dimension $d$. :param p: The $l_p$ norm. :param power_norm: Should the power norm be used? :param entity_initializer: Entity initializer function. Defaults to :func:`tor... | 2 | stack_v2_sparse_classes_30k_train_027066 | Implement the Python class `PairRE` described below.
Class description:
An implementation of PairRE from [chao2020]_. --- citation: author: Chao year: 2020 link: http://arxiv.org/abs/2011.03798 github: alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
Method signatures and docstrings:
- def __init__(self... | Implement the Python class `PairRE` described below.
Class description:
An implementation of PairRE from [chao2020]_. --- citation: author: Chao year: 2020 link: http://arxiv.org/abs/2011.03798 github: alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
Method signatures and docstrings:
- def __init__(self... | 5ff3597b18ab9a220e34361d3c3f262060811df1 | <|skeleton|>
class PairRE:
"""An implementation of PairRE from [chao2020]_. --- citation: author: Chao year: 2020 link: http://arxiv.org/abs/2011.03798 github: alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE"""
def __init__(self, embedding_dim: int=200, p: int=1, power_norm: bool=False, entity_i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PairRE:
"""An implementation of PairRE from [chao2020]_. --- citation: author: Chao year: 2020 link: http://arxiv.org/abs/2011.03798 github: alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE"""
def __init__(self, embedding_dim: int=200, p: int=1, power_norm: bool=False, entity_initializer: H... | the_stack_v2_python_sparse | src/pykeen/models/unimodal/pair_re.py | pykeen/pykeen | train | 1,308 |
398253504327c08288967facfe3c44659d6f8290 | [
"queue = []\nans = ''\nif not root:\n return ''\nqueue.append(root)\nans += str(root.val) + ','\nwhile queue:\n temp = ''\n n = len(queue)\n for i in range(n):\n cur = queue.pop()\n if cur.left:\n queue.insert(0, cur.left)\n temp += str(cur.left.val) + ','\n if... | <|body_start_0|>
queue = []
ans = ''
if not root:
return ''
queue.append(root)
ans += str(root.val) + ','
while queue:
temp = ''
n = len(queue)
for i in range(n):
cur = queue.pop()
if cur.left... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_004404 | 2,026 | 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 deserializ... | 2 | stack_v2_sparse_classes_30k_train_026989 | 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:... | 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:... | 75bee27348969605805b059c7a42a5c5fa14165c | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
queue = []
ans = ''
if not root:
return ''
queue.append(root)
ans += str(root.val) + ','
while queue:
temp = ''
... | the_stack_v2_python_sparse | SerializeDeserializeBinaryTree.py | ilovequant/Practise | train | 0 | |
86951d6db83ab5f1900c3e52c12cae259b1c6310 | [
"super(CriticMlp, self).__init__()\nself.fc1 = nn.Linear(state_dim, 400)\nself.ln1 = nn.LayerNorm(400)\nself.fc2 = nn.Linear(400 + action_dim, 300)\nself.ln2 = nn.LayerNorm(300)\nself.fc3 = nn.Linear(300, 1)\nfan_in, _ = nn.init._calculate_fan_in_and_fan_out(self.fc1.weight)\nnn.init.uniform_(self.fc1.weight, -1 / ... | <|body_start_0|>
super(CriticMlp, self).__init__()
self.fc1 = nn.Linear(state_dim, 400)
self.ln1 = nn.LayerNorm(400)
self.fc2 = nn.Linear(400 + action_dim, 300)
self.ln2 = nn.LayerNorm(300)
self.fc3 = nn.Linear(300, 1)
fan_in, _ = nn.init._calculate_fan_in_and_fan... | Represents a Critic in the Actor to Critic Model. | CriticMlp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CriticMlp:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, state_dim, action_dim):
"""Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs"""
<|body_0|>
def forward(self, state_batch, acti... | stack_v2_sparse_classes_75kplus_train_004405 | 13,450 | no_license | [
{
"docstring": "Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs",
"name": "__init__",
"signature": "def __init__(self, state_dim, action_dim)"
},
{
"docstring": "Generate Q-values for the batch of states and actions pairs. Args: state_... | 2 | stack_v2_sparse_classes_30k_train_054323 | Implement the Python class `CriticMlp` described below.
Class description:
Represents a Critic in the Actor to Critic Model.
Method signatures and docstrings:
- def __init__(self, state_dim, action_dim): Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs
- def... | Implement the Python class `CriticMlp` described below.
Class description:
Represents a Critic in the Actor to Critic Model.
Method signatures and docstrings:
- def __init__(self, state_dim, action_dim): Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs
- def... | 6dcb04e79f776fc780b843208e2c689578c94bb3 | <|skeleton|>
class CriticMlp:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, state_dim, action_dim):
"""Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs"""
<|body_0|>
def forward(self, state_batch, acti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CriticMlp:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, state_dim, action_dim):
"""Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs"""
super(CriticMlp, self).__init__()
self.fc1 = nn.Linear(s... | the_stack_v2_python_sparse | retina_reinforcement_sim/src/model/models.py | lewisboyd/MsciProject | train | 0 |
47f5d1cb9357edc3b7fc15a405224fd3656c8f65 | [
"with pytest.raises(rname.InvalidResourceName) as e:\n rname.ResourceName.from_string('RJ45::1')\nassert 'unknown interface type' in e.exconly()\nwith pytest.raises(rname.InvalidResourceName) as e:\n rname.ResourceName.from_string('PXI::1')\nassert 'not provided and default not found' in e.exconly()\ntry:\n ... | <|body_start_0|>
with pytest.raises(rname.InvalidResourceName) as e:
rname.ResourceName.from_string('RJ45::1')
assert 'unknown interface type' in e.exconly()
with pytest.raises(rname.InvalidResourceName) as e:
rname.ResourceName.from_string('PXI::1')
assert 'not p... | Test error handling in ResourceName. This exercise creating a resource name from parts too which is hence not tested explicitely. | TestResourceName | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestResourceName:
"""Test error handling in ResourceName. This exercise creating a resource name from parts too which is hence not tested explicitely."""
def test_creation_from_string(self):
"""Test error handling when creating a name from a string."""
<|body_0|>
def tes... | stack_v2_sparse_classes_75kplus_train_004406 | 19,643 | permissive | [
{
"docstring": "Test error handling when creating a name from a string.",
"name": "test_creation_from_string",
"signature": "def test_creation_from_string(self)"
},
{
"docstring": "Test error handling when creating a name from a kwargs.",
"name": "test_creation_from_kwargs",
"signature":... | 3 | null | Implement the Python class `TestResourceName` described below.
Class description:
Test error handling in ResourceName. This exercise creating a resource name from parts too which is hence not tested explicitely.
Method signatures and docstrings:
- def test_creation_from_string(self): Test error handling when creating... | Implement the Python class `TestResourceName` described below.
Class description:
Test error handling in ResourceName. This exercise creating a resource name from parts too which is hence not tested explicitely.
Method signatures and docstrings:
- def test_creation_from_string(self): Test error handling when creating... | 071fa6d5a8e7703f1b38d4c0b0cccd0952a5972f | <|skeleton|>
class TestResourceName:
"""Test error handling in ResourceName. This exercise creating a resource name from parts too which is hence not tested explicitely."""
def test_creation_from_string(self):
"""Test error handling when creating a name from a string."""
<|body_0|>
def tes... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestResourceName:
"""Test error handling in ResourceName. This exercise creating a resource name from parts too which is hence not tested explicitely."""
def test_creation_from_string(self):
"""Test error handling when creating a name from a string."""
with pytest.raises(rname.InvalidReso... | the_stack_v2_python_sparse | pyvisa/testsuite/test_rname.py | pyvisa/pyvisa | train | 543 |
d304209db64e239dcc2e929deeade4e5b4cd0ed0 | [
"if not (key and secret and url and method):\n raise ValueError('invalid oauth parameters')\nself.key = key\nself.secret = secret\nself.url = url\nself.method = method",
"url = self.url.format(account=account)\nargs = {'oauth_consumer_key': _penc(self.key), 'oauth_nonce': sha1(urandom(64)).hexdigest(), 'oauth_... | <|body_start_0|>
if not (key and secret and url and method):
raise ValueError('invalid oauth parameters')
self.key = key
self.secret = secret
self.url = url
self.method = method
<|end_body_0|>
<|body_start_1|>
url = self.url.format(account=account)
ar... | Two-legged OAuth implementation for Gmail IMAP. | OAuth | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OAuth:
"""Two-legged OAuth implementation for Gmail IMAP."""
def __init__(self, key, secret, url, method='GET'):
"""Set authentication parameters."""
<|body_0|>
def __call__(self, account):
"""Create a request string for OAuth authentication."""
<|body_1|... | stack_v2_sparse_classes_75kplus_train_004407 | 1,940 | permissive | [
{
"docstring": "Set authentication parameters.",
"name": "__init__",
"signature": "def __init__(self, key, secret, url, method='GET')"
},
{
"docstring": "Create a request string for OAuth authentication.",
"name": "__call__",
"signature": "def __call__(self, account)"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_train_015714 | Implement the Python class `OAuth` described below.
Class description:
Two-legged OAuth implementation for Gmail IMAP.
Method signatures and docstrings:
- def __init__(self, key, secret, url, method='GET'): Set authentication parameters.
- def __call__(self, account): Create a request string for OAuth authentication.... | Implement the Python class `OAuth` described below.
Class description:
Two-legged OAuth implementation for Gmail IMAP.
Method signatures and docstrings:
- def __init__(self, key, secret, url, method='GET'): Set authentication parameters.
- def __call__(self, account): Create a request string for OAuth authentication.... | 1344069a175afbca0593e4460d99889a2acf86d8 | <|skeleton|>
class OAuth:
"""Two-legged OAuth implementation for Gmail IMAP."""
def __init__(self, key, secret, url, method='GET'):
"""Set authentication parameters."""
<|body_0|>
def __call__(self, account):
"""Create a request string for OAuth authentication."""
<|body_1|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OAuth:
"""Two-legged OAuth implementation for Gmail IMAP."""
def __init__(self, key, secret, url, method='GET'):
"""Set authentication parameters."""
if not (key and secret and url and method):
raise ValueError('invalid oauth parameters')
self.key = key
self.se... | the_stack_v2_python_sparse | _gmdb/oauth.py | uncleweb/gmdb | train | 0 |
c46cda41b8b6df08f4eb6c1361b73d1d3a58440c | [
"n = len(prices)\ndp = [[0 for _ in range(n)] for _ in range(n)]\nfor i in range(n):\n lowest = prices[i]\n highest = 0\n for j in range(i + 1, n):\n if prices[j] < lowest:\n lowest = prices[j]\n dp[i][j] = dp[i][j - 1]\n elif prices[j] - lowest > highest:\n d... | <|body_start_0|>
n = len(prices)
dp = [[0 for _ in range(n)] for _ in range(n)]
for i in range(n):
lowest = prices[i]
highest = 0
for j in range(i + 1, n):
if prices[j] < lowest:
lowest = prices[j]
dp[i][... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit_recursive(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
def maxProfit_helper(self, prices):
""":type prices: List[int]... | stack_v2_sparse_classes_75kplus_train_004408 | 3,405 | no_license | [
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
},
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit_recursive",
"signature": "def maxProfit_recursive(self, prices)"
},
{
"docstring": ":t... | 3 | stack_v2_sparse_classes_30k_train_051650 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit_recursive(self, prices): :type prices: List[int] :rtype: int
- def maxProfit_helper(self, prices)... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit_recursive(self, prices): :type prices: List[int] :rtype: int
- def maxProfit_helper(self, prices)... | db7bfb7cff5d3220ee9e60121bd19439ddaff453 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit_recursive(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
def maxProfit_helper(self, prices):
""":type prices: List[int]... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
n = len(prices)
dp = [[0 for _ in range(n)] for _ in range(n)]
for i in range(n):
lowest = prices[i]
highest = 0
for j in range(i + 1, n):
if pri... | the_stack_v2_python_sparse | leetcod/dp/p309.py | gaoshang1999/Python | train | 0 | |
281a223781a05162c4508365a2779e2786b005de | [
"self.sprite_sheet = prepare_game.GFX['game_text']\nself.coin_total = game_labels[c.COIN_TOTAL]\nself.time = 401\nself.current_time = 0\nself.total_lives = game_labels[c.LIVES]\nself.top_score = game_labels[c.TOP_SCORE]\nself.state = state\nself.special_state = None\nself.game_labels = game_labels\nself.images_dict... | <|body_start_0|>
self.sprite_sheet = prepare_game.GFX['game_text']
self.coin_total = game_labels[c.COIN_TOTAL]
self.time = 401
self.current_time = 0
self.total_lives = game_labels[c.LIVES]
self.top_score = game_labels[c.TOP_SCORE]
self.state = state
self.s... | OverheadLabels2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OverheadLabels2:
def __init__(self, game_labels, state):
"""Initializes the state with all the variables needed"""
<|body_0|>
def info_labels(self):
"""Creates the labels that describe each variable"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
se... | stack_v2_sparse_classes_75kplus_train_004409 | 24,153 | no_license | [
{
"docstring": "Initializes the state with all the variables needed",
"name": "__init__",
"signature": "def __init__(self, game_labels, state)"
},
{
"docstring": "Creates the labels that describe each variable",
"name": "info_labels",
"signature": "def info_labels(self)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000127 | Implement the Python class `OverheadLabels2` described below.
Class description:
Implement the OverheadLabels2 class.
Method signatures and docstrings:
- def __init__(self, game_labels, state): Initializes the state with all the variables needed
- def info_labels(self): Creates the labels that describe each variable | Implement the Python class `OverheadLabels2` described below.
Class description:
Implement the OverheadLabels2 class.
Method signatures and docstrings:
- def __init__(self, game_labels, state): Initializes the state with all the variables needed
- def info_labels(self): Creates the labels that describe each variable
... | 15b49b5a5d422754b805642c13c7082e0dae57b7 | <|skeleton|>
class OverheadLabels2:
def __init__(self, game_labels, state):
"""Initializes the state with all the variables needed"""
<|body_0|>
def info_labels(self):
"""Creates the labels that describe each variable"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OverheadLabels2:
def __init__(self, game_labels, state):
"""Initializes the state with all the variables needed"""
self.sprite_sheet = prepare_game.GFX['game_text']
self.coin_total = game_labels[c.COIN_TOTAL]
self.time = 401
self.current_time = 0
self.total_live... | the_stack_v2_python_sparse | TRABAJO_FINAL_GRUPO_7/Code/Classes/labels.py | alexandresegura/is2_2018_1 | train | 1 | |
f5852c6002000b09254755af4f99c0e40c45bf9e | [
"super(TcpQuery, self).__init__()\nself._request_mbap = TcpMbap()\nself._response_mbap = TcpMbap()",
"if TcpQuery._last_transaction_id < 65535:\n TcpQuery._last_transaction_id += 1\nelse:\n TcpQuery._last_transaction_id = 0\nreturn TcpQuery._last_transaction_id",
"if slave < 0 or slave > 255:\n raise I... | <|body_start_0|>
super(TcpQuery, self).__init__()
self._request_mbap = TcpMbap()
self._response_mbap = TcpMbap()
<|end_body_0|>
<|body_start_1|>
if TcpQuery._last_transaction_id < 65535:
TcpQuery._last_transaction_id += 1
else:
TcpQuery._last_transaction_... | Subclass of a Query. Adds the Modbus TCP specific part of the protocol | TcpQuery | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TcpQuery:
"""Subclass of a Query. Adds the Modbus TCP specific part of the protocol"""
def __init__(self):
"""Constructor"""
<|body_0|>
def _get_transaction_id(self):
"""returns an identifier for the query"""
<|body_1|>
def build_request(self, pdu, s... | stack_v2_sparse_classes_75kplus_train_004410 | 14,499 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "returns an identifier for the query",
"name": "_get_transaction_id",
"signature": "def _get_transaction_id(self)"
},
{
"docstring": "Add the Modbus TCP part to the request",
... | 6 | stack_v2_sparse_classes_30k_train_001096 | Implement the Python class `TcpQuery` described below.
Class description:
Subclass of a Query. Adds the Modbus TCP specific part of the protocol
Method signatures and docstrings:
- def __init__(self): Constructor
- def _get_transaction_id(self): returns an identifier for the query
- def build_request(self, pdu, slave... | Implement the Python class `TcpQuery` described below.
Class description:
Subclass of a Query. Adds the Modbus TCP specific part of the protocol
Method signatures and docstrings:
- def __init__(self): Constructor
- def _get_transaction_id(self): returns an identifier for the query
- def build_request(self, pdu, slave... | a5aeb1238b26c1af55cf3a82787ed347dff1fb86 | <|skeleton|>
class TcpQuery:
"""Subclass of a Query. Adds the Modbus TCP specific part of the protocol"""
def __init__(self):
"""Constructor"""
<|body_0|>
def _get_transaction_id(self):
"""returns an identifier for the query"""
<|body_1|>
def build_request(self, pdu, s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TcpQuery:
"""Subclass of a Query. Adds the Modbus TCP specific part of the protocol"""
def __init__(self):
"""Constructor"""
super(TcpQuery, self).__init__()
self._request_mbap = TcpMbap()
self._response_mbap = TcpMbap()
def _get_transaction_id(self):
"""retur... | the_stack_v2_python_sparse | external/modbus_tk/modbus_tk/modbus_tcp.py | intel/intel-device-resource-mgt-lib | train | 2 |
a8fc46e817f96e4a28116e21595a47200ee57e35 | [
"for project_id, backend_services in resource_from_api.iteritems():\n for backend_service in backend_services:\n yield {'project_id': project_id, 'id': backend_service.get('id'), 'creation_timestamp': parser.format_timestamp(backend_service.get('creationTimestamp'), self.MYSQL_DATETIME_FORMAT), 'name': ba... | <|body_start_0|>
for project_id, backend_services in resource_from_api.iteritems():
for backend_service in backend_services:
yield {'project_id': project_id, 'id': backend_service.get('id'), 'creation_timestamp': parser.format_timestamp(backend_service.get('creationTimestamp'), self.... | Load compute backend services for all projects. | LoadBackendServicesPipeline | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoadBackendServicesPipeline:
"""Load compute backend services for all projects."""
def _transform(self, resource_from_api):
"""Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: it... | stack_v2_sparse_classes_75kplus_train_004411 | 4,698 | permissive | [
{
"docstring": "Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: iterator: backend service properties in a dict.",
"name": "_transform",
"signature": "def _transform(self, resource_from_api)"
},
... | 3 | stack_v2_sparse_classes_30k_train_005327 | Implement the Python class `LoadBackendServicesPipeline` described below.
Class description:
Load compute backend services for all projects.
Method signatures and docstrings:
- def _transform(self, resource_from_api): Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwar... | Implement the Python class `LoadBackendServicesPipeline` described below.
Class description:
Load compute backend services for all projects.
Method signatures and docstrings:
- def _transform(self, resource_from_api): Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwar... | a6a1aa7464cda2ad5948e3e8876eb8dded5e2514 | <|skeleton|>
class LoadBackendServicesPipeline:
"""Load compute backend services for all projects."""
def _transform(self, resource_from_api):
"""Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: it... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoadBackendServicesPipeline:
"""Load compute backend services for all projects."""
def _transform(self, resource_from_api):
"""Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: iterator: backe... | the_stack_v2_python_sparse | google/cloud/security/inventory/pipelines/load_backend_services_pipeline.py | shimizu19691210/forseti-security | train | 1 |
3689bf0c54111fac5dc042896ee8ab02759b5ec8 | [
"self.temperature = np.array([[280.06, 279.97, 279.9], [280.15, 280.03, 279.96], [280.25, 280.33, 280.27]])\nself.orography = np.array([[174.67, 179.87, 188.46], [155.84, 169.58, 185.05], [134.9, 144.0, 157.89]])\nself.land_sea_mask = ~np.zeros_like(self.temperature, dtype=bool)",
"expected_out = -0.0076500577467... | <|body_start_0|>
self.temperature = np.array([[280.06, 279.97, 279.9], [280.15, 280.03, 279.96], [280.25, 280.33, 280.27]])
self.orography = np.array([[174.67, 179.87, 188.46], [155.84, 169.58, 185.05], [134.9, 144.0, 157.89]])
self.land_sea_mask = ~np.zeros_like(self.temperature, dtype=bool)
<|... | Test the _calc_lapse_rate function. | Test__calc_lapse_rate | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test__calc_lapse_rate:
"""Test the _calc_lapse_rate function."""
def setUp(self):
"""Sets up arrays."""
<|body_0|>
def test_returns_expected_values(self):
"""Test that the function returns expected lapse rate."""
<|body_1|>
def test_handles_nan(self)... | stack_v2_sparse_classes_75kplus_train_004412 | 24,615 | permissive | [
{
"docstring": "Sets up arrays.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test that the function returns expected lapse rate.",
"name": "test_returns_expected_values",
"signature": "def test_returns_expected_values(self)"
},
{
"docstring": "Test that th... | 4 | stack_v2_sparse_classes_30k_train_049763 | Implement the Python class `Test__calc_lapse_rate` described below.
Class description:
Test the _calc_lapse_rate function.
Method signatures and docstrings:
- def setUp(self): Sets up arrays.
- def test_returns_expected_values(self): Test that the function returns expected lapse rate.
- def test_handles_nan(self): Te... | Implement the Python class `Test__calc_lapse_rate` described below.
Class description:
Test the _calc_lapse_rate function.
Method signatures and docstrings:
- def setUp(self): Sets up arrays.
- def test_returns_expected_values(self): Test that the function returns expected lapse rate.
- def test_handles_nan(self): Te... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test__calc_lapse_rate:
"""Test the _calc_lapse_rate function."""
def setUp(self):
"""Sets up arrays."""
<|body_0|>
def test_returns_expected_values(self):
"""Test that the function returns expected lapse rate."""
<|body_1|>
def test_handles_nan(self)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test__calc_lapse_rate:
"""Test the _calc_lapse_rate function."""
def setUp(self):
"""Sets up arrays."""
self.temperature = np.array([[280.06, 279.97, 279.9], [280.15, 280.03, 279.96], [280.25, 280.33, 280.27]])
self.orography = np.array([[174.67, 179.87, 188.46], [155.84, 169.58, ... | the_stack_v2_python_sparse | improver_tests/lapse_rate/test_LapseRate.py | metoppv/improver | train | 101 |
fe699ee0cbe2831fdfd71707a98ae51fba00b641 | [
"logging.info('## SETUP METHOD ##')\nlogging.info('# Initializing the webdriver.')\nself.ffprofile = self.create_ffprofile()\nself.driver = webdriver.Firefox(self.ffprofile)\nself.driver.maximize_window()\nself.driver.implicitly_wait(5)\nself.driver.get('http://the-internet.herokuapp.com/')",
"logging.info('## TE... | <|body_start_0|>
logging.info('## SETUP METHOD ##')
logging.info('# Initializing the webdriver.')
self.ffprofile = self.create_ffprofile()
self.driver = webdriver.Firefox(self.ffprofile)
self.driver.maximize_window()
self.driver.implicitly_wait(5)
self.driver.get(... | This class is for instantiating web driver instances. | DriverManagerFirefox | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DriverManagerFirefox:
"""This class is for instantiating web driver instances."""
def setUp(self):
"""This method is to instantiate the web driver instance."""
<|body_0|>
def tearDown(self):
"""This is teardown method. It is to capture the screenshots for failed ... | stack_v2_sparse_classes_75kplus_train_004413 | 3,946 | permissive | [
{
"docstring": "This method is to instantiate the web driver instance.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "This is teardown method. It is to capture the screenshots for failed test cases, & to remove web driver object.",
"name": "tearDown",
"signature": "... | 4 | stack_v2_sparse_classes_30k_train_044241 | Implement the Python class `DriverManagerFirefox` described below.
Class description:
This class is for instantiating web driver instances.
Method signatures and docstrings:
- def setUp(self): This method is to instantiate the web driver instance.
- def tearDown(self): This is teardown method. It is to capture the sc... | Implement the Python class `DriverManagerFirefox` described below.
Class description:
This class is for instantiating web driver instances.
Method signatures and docstrings:
- def setUp(self): This method is to instantiate the web driver instance.
- def tearDown(self): This is teardown method. It is to capture the sc... | 65513cb85eccb1ae3fae4ac3625d0e6878720ec8 | <|skeleton|>
class DriverManagerFirefox:
"""This class is for instantiating web driver instances."""
def setUp(self):
"""This method is to instantiate the web driver instance."""
<|body_0|>
def tearDown(self):
"""This is teardown method. It is to capture the screenshots for failed ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DriverManagerFirefox:
"""This class is for instantiating web driver instances."""
def setUp(self):
"""This method is to instantiate the web driver instance."""
logging.info('## SETUP METHOD ##')
logging.info('# Initializing the webdriver.')
self.ffprofile = self.create_ffp... | the_stack_v2_python_sparse | attic/2019/contributions-2019/open/mudaliar-yptu/PWAF/utility/drivermanager.py | Agriad/devops-course | train | 0 |
9fc2e2d2a04916ed2e683e2c2e320ee2092d3296 | [
"if not nums1 or not nums2:\n return\nfor i in range(len(nums2)):\n nums1[m + i] = nums2[i]\n\ndef _sort_once(nums, left, right):\n x = left\n y = right\n pivot = nums[left]\n while x < y:\n while x < y and nums[y] >= pivot:\n y -= 1\n nums[x] = nums[y]\n while x < ... | <|body_start_0|>
if not nums1 or not nums2:
return
for i in range(len(nums2)):
nums1[m + i] = nums2[i]
def _sort_once(nums, left, right):
x = left
y = right
pivot = nums[left]
while x < y:
while x < y and nu... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def merge(self, nums1: 'List[int]', m: int, nums2: 'List[int]', n: int) -> None:
"""先合并，在使用快速排序 执行用时 : 60 ms, 在Merge Sorted Array的Python3提交中击败了49.81% 的用户 内存消耗 : 12.9 MB, 在Merge Sorted Array的Python3提交中击败了99.08% 的用户"""
<|body_0|>
def merge1(self, nums1: 'List[int]', ... | stack_v2_sparse_classes_75kplus_train_004414 | 4,411 | no_license | [
{
"docstring": "先合并，在使用快速排序 执行用时 : 60 ms, 在Merge Sorted Array的Python3提交中击败了49.81% 的用户 内存消耗 : 12.9 MB, 在Merge Sorted Array的Python3提交中击败了99.08% 的用户",
"name": "merge",
"signature": "def merge(self, nums1: 'List[int]', m: int, nums2: 'List[int]', n: int) -> None"
},
{
"docstring": "先合并，在使用 sort 排序",... | 3 | stack_v2_sparse_classes_30k_train_030036 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, nums1: 'List[int]', m: int, nums2: 'List[int]', n: int) -> None: 先合并，在使用快速排序 执行用时 : 60 ms, 在Merge Sorted Array的Python3提交中击败了49.81% 的用户 内存消耗 : 12.9 MB, 在Merge Sort... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, nums1: 'List[int]', m: int, nums2: 'List[int]', n: int) -> None: 先合并，在使用快速排序 执行用时 : 60 ms, 在Merge Sorted Array的Python3提交中击败了49.81% 的用户 内存消耗 : 12.9 MB, 在Merge Sort... | 7bca9dc8ec211be15c12f89bffbb680d639f87bf | <|skeleton|>
class Solution:
def merge(self, nums1: 'List[int]', m: int, nums2: 'List[int]', n: int) -> None:
"""先合并，在使用快速排序 执行用时 : 60 ms, 在Merge Sorted Array的Python3提交中击败了49.81% 的用户 内存消耗 : 12.9 MB, 在Merge Sorted Array的Python3提交中击败了99.08% 的用户"""
<|body_0|>
def merge1(self, nums1: 'List[int]', ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def merge(self, nums1: 'List[int]', m: int, nums2: 'List[int]', n: int) -> None:
"""先合并，在使用快速排序 执行用时 : 60 ms, 在Merge Sorted Array的Python3提交中击败了49.81% 的用户 内存消耗 : 12.9 MB, 在Merge Sorted Array的Python3提交中击败了99.08% 的用户"""
if not nums1 or not nums2:
return
for i in rang... | the_stack_v2_python_sparse | python/leetcode/88-merge-sorted-array.py | wxnacy/study | train | 18 | |
4d9c5447d5c09557490f1a6f16236ecb19bf0b34 | [
"self.distinct_tags = [MagicMock(id=1), MagicMock(id=2), MagicMock(id=3)]\nself.profiles = [MagicMock(tags=MagicMock(), id=2), MagicMock(tags=MagicMock(), id=3)]\nself.social_link = MagicMock(spec=SocialLink, account=MagicMock(spec=SocialAccount, expert=MagicMock(spec=Expert, userbase=MagicMock(id=1), id=1)), exper... | <|body_start_0|>
self.distinct_tags = [MagicMock(id=1), MagicMock(id=2), MagicMock(id=3)]
self.profiles = [MagicMock(tags=MagicMock(), id=2), MagicMock(tags=MagicMock(), id=3)]
self.social_link = MagicMock(spec=SocialLink, account=MagicMock(spec=SocialAccount, expert=MagicMock(spec=Expert, userb... | Test case for PushFeeds | TestPushFeeds | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPushFeeds:
"""Test case for PushFeeds"""
def setUp(self):
"""SetUp method for test case"""
<|body_0|>
def test_push_feeds_to_streamfeed(self, mock_expert_publish_content, mock_parent_tags):
"""test case for method push_feeds_to_streamfeed"""
<|body_1|... | stack_v2_sparse_classes_75kplus_train_004415 | 20,391 | no_license | [
{
"docstring": "SetUp method for test case",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "test case for method push_feeds_to_streamfeed",
"name": "test_push_feeds_to_streamfeed",
"signature": "def test_push_feeds_to_streamfeed(self, mock_expert_publish_content, mock... | 4 | stack_v2_sparse_classes_30k_train_030123 | Implement the Python class `TestPushFeeds` described below.
Class description:
Test case for PushFeeds
Method signatures and docstrings:
- def setUp(self): SetUp method for test case
- def test_push_feeds_to_streamfeed(self, mock_expert_publish_content, mock_parent_tags): test case for method push_feeds_to_streamfeed... | Implement the Python class `TestPushFeeds` described below.
Class description:
Test case for PushFeeds
Method signatures and docstrings:
- def setUp(self): SetUp method for test case
- def test_push_feeds_to_streamfeed(self, mock_expert_publish_content, mock_parent_tags): test case for method push_feeds_to_streamfeed... | 248a7b406686c0c98e944319a6eca08485104f5d | <|skeleton|>
class TestPushFeeds:
"""Test case for PushFeeds"""
def setUp(self):
"""SetUp method for test case"""
<|body_0|>
def test_push_feeds_to_streamfeed(self, mock_expert_publish_content, mock_parent_tags):
"""test case for method push_feeds_to_streamfeed"""
<|body_1|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestPushFeeds:
"""Test case for PushFeeds"""
def setUp(self):
"""SetUp method for test case"""
self.distinct_tags = [MagicMock(id=1), MagicMock(id=2), MagicMock(id=3)]
self.profiles = [MagicMock(tags=MagicMock(), id=2), MagicMock(tags=MagicMock(), id=3)]
self.social_link =... | the_stack_v2_python_sparse | common/feeds/tests.py | skshivammahajan/DRFChat | train | 0 |
cf60a72e9f7da153f5650032477df0d3dd978f3f | [
"google.logging_utils.config_root()\nself.revision = revision\nself.instrumented = False\nself.tools_path = tools_path\nself.src_path = src_path\nself._dir = None",
"if self.instrumented:\n logging.error('Binaries already instrumented')\n return None\ncoverage_file = None\nif IsWindows():\n counters_comm... | <|body_start_0|>
google.logging_utils.config_root()
self.revision = revision
self.instrumented = False
self.tools_path = tools_path
self.src_path = src_path
self._dir = None
<|end_body_0|>
<|body_start_1|>
if self.instrumented:
logging.error('Binaries... | Class to set up and generate code coverage. This class contains methods that are useful to set up the environment for code coverage. Attributes: instrumented: A boolean indicating if all the binaries have been instrumented. | Coverage | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Coverage:
"""Class to set up and generate code coverage. This class contains methods that are useful to set up the environment for code coverage. Attributes: instrumented: A boolean indicating if all the binaries have been instrumented."""
def __init__(self, revision, src_path=None, tools_pa... | stack_v2_sparse_classes_75kplus_train_004416 | 11,129 | permissive | [
{
"docstring": "Init method for the Coverage class. Args: revision: Revision number of the Chromium source tree. src_path: Location of the Chromium source base. tools_path: Location of the Visual Studio Team Tools. (Win32 only)",
"name": "__init__",
"signature": "def __init__(self, revision, src_path=No... | 4 | stack_v2_sparse_classes_30k_train_027546 | Implement the Python class `Coverage` described below.
Class description:
Class to set up and generate code coverage. This class contains methods that are useful to set up the environment for code coverage. Attributes: instrumented: A boolean indicating if all the binaries have been instrumented.
Method signatures an... | Implement the Python class `Coverage` described below.
Class description:
Class to set up and generate code coverage. This class contains methods that are useful to set up the environment for code coverage. Attributes: instrumented: A boolean indicating if all the binaries have been instrumented.
Method signatures an... | 008c4fef2676506869a0404239da31e83fd6ccc7 | <|skeleton|>
class Coverage:
"""Class to set up and generate code coverage. This class contains methods that are useful to set up the environment for code coverage. Attributes: instrumented: A boolean indicating if all the binaries have been instrumented."""
def __init__(self, revision, src_path=None, tools_pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Coverage:
"""Class to set up and generate code coverage. This class contains methods that are useful to set up the environment for code coverage. Attributes: instrumented: A boolean indicating if all the binaries have been instrumented."""
def __init__(self, revision, src_path=None, tools_path=None):
... | the_stack_v2_python_sparse | tools/code_coverage/coverage.py | bluebellzhy/chromium | train | 1 |
55f6714df37a95aa36b4a9532332a4ad551913b0 | [
"super().__init__()\nassert 0 <= p <= 1\nassert num_feature_masks >= 0\nassert num_frame_masks >= 0\nassert features_mask_size > 0\nassert frames_mask_size > 0\nself.time_warp_factor = time_warp_factor\nself.num_feature_masks = num_feature_masks\nself.features_mask_size = features_mask_size\nself.num_frame_masks = ... | <|body_start_0|>
super().__init__()
assert 0 <= p <= 1
assert num_feature_masks >= 0
assert num_frame_masks >= 0
assert features_mask_size > 0
assert frames_mask_size > 0
self.time_warp_factor = time_warp_factor
self.num_feature_masks = num_feature_masks
... | SpecAugment performs three augmentations: - time warping of the feature matrix - masking of ranges of features (frequency bands) - masking of ranges of frames (time) The current implementation works with batches, but processes each example separately in a loop rather than simultaneously to achieve different augmentatio... | SpecAugment | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpecAugment:
"""SpecAugment performs three augmentations: - time warping of the feature matrix - masking of ranges of features (frequency bands) - masking of ranges of frames (time) The current implementation works with batches, but processes each example separately in a loop rather than simultan... | stack_v2_sparse_classes_75kplus_train_004417 | 12,729 | permissive | [
{
"docstring": "SpecAugment's constructor. :param time_warp_factor: parameter for the time warping; larger values mean more warping. Set to ``None``, or less than ``1``, to disable. :param num_feature_masks: how many feature masks should be applied. Set to ``0`` to disable. :param features_mask_size: the width ... | 3 | null | Implement the Python class `SpecAugment` described below.
Class description:
SpecAugment performs three augmentations: - time warping of the feature matrix - masking of ranges of features (frequency bands) - masking of ranges of frames (time) The current implementation works with batches, but processes each example se... | Implement the Python class `SpecAugment` described below.
Class description:
SpecAugment performs three augmentations: - time warping of the feature matrix - masking of ranges of features (frequency bands) - masking of ranges of frames (time) The current implementation works with batches, but processes each example se... | 85a5c8e9d9827f457ba33432bfe37f44ca28365a | <|skeleton|>
class SpecAugment:
"""SpecAugment performs three augmentations: - time warping of the feature matrix - masking of ranges of features (frequency bands) - masking of ranges of frames (time) The current implementation works with batches, but processes each example separately in a loop rather than simultan... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpecAugment:
"""SpecAugment performs three augmentations: - time warping of the feature matrix - masking of ranges of features (frequency bands) - masking of ranges of frames (time) The current implementation works with batches, but processes each example separately in a loop rather than simultaneously to ach... | the_stack_v2_python_sparse | lhotse/dataset/signal_transforms.py | jimbozhang/lhotse | train | 1 |
ad7a0a193f93085ba27fd20c467c53c2236b9266 | [
"if not email:\n raise ValueError('The given email must be set')\nemail = self.normalize_email(email)\nusername = self.model.normalize_username(username)\nuser = self.model(username=username, email=email, **extra_fields)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"extra_fields.setde... | <|body_start_0|>
if not email:
raise ValueError('The given email must be set')
email = self.normalize_email(email)
username = self.model.normalize_username(username)
user = self.model(username=username, email=email, **extra_fields)
user.set_password(password)
... | CustomUserManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomUserManager:
def _create_user(self, username, email, password, **extra_fields):
"""Require email address to be set."""
<|body_0|>
def create_superuser(self, email, password, username=None, **extra_fields):
"""Make username optional."""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus_train_004418 | 4,400 | permissive | [
{
"docstring": "Require email address to be set.",
"name": "_create_user",
"signature": "def _create_user(self, username, email, password, **extra_fields)"
},
{
"docstring": "Make username optional.",
"name": "create_superuser",
"signature": "def create_superuser(self, email, password, u... | 2 | stack_v2_sparse_classes_30k_train_034907 | Implement the Python class `CustomUserManager` described below.
Class description:
Implement the CustomUserManager class.
Method signatures and docstrings:
- def _create_user(self, username, email, password, **extra_fields): Require email address to be set.
- def create_superuser(self, email, password, username=None,... | Implement the Python class `CustomUserManager` described below.
Class description:
Implement the CustomUserManager class.
Method signatures and docstrings:
- def _create_user(self, username, email, password, **extra_fields): Require email address to be set.
- def create_superuser(self, email, password, username=None,... | afa2da651ef9046ea39c044a65bdd88d814838b4 | <|skeleton|>
class CustomUserManager:
def _create_user(self, username, email, password, **extra_fields):
"""Require email address to be set."""
<|body_0|>
def create_superuser(self, email, password, username=None, **extra_fields):
"""Make username optional."""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CustomUserManager:
def _create_user(self, username, email, password, **extra_fields):
"""Require email address to be set."""
if not email:
raise ValueError('The given email must be set')
email = self.normalize_email(email)
username = self.model.normalize_username(us... | the_stack_v2_python_sparse | app/users/models.py | tadasant/strand-api | train | 1 | |
7295db4d665754eab420ec071cb3549fdba4c3b2 | [
"_user = '-' + tools.as_filename(user) if user else ''\nself.filename = config.datafilepath(f'pywikibot{_user}.lwp')\ntry:\n super().load(*args, **kwargs)\nexcept (cookiejar.LoadError, FileNotFoundError):\n debug(f'Loading cookies for user {user} failed.')\nelse:\n debug(f'Loaded cookies for user {user} fr... | <|body_start_0|>
_user = '-' + tools.as_filename(user) if user else ''
self.filename = config.datafilepath(f'pywikibot{_user}.lwp')
try:
super().load(*args, **kwargs)
except (cookiejar.LoadError, FileNotFoundError):
debug(f'Loading cookies for user {user} failed.'... | CookieJar which create the filename and checks file permissions. .. versionadded:: 8.0 | PywikibotCookieJar | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PywikibotCookieJar:
"""CookieJar which create the filename and checks file permissions. .. versionadded:: 8.0"""
def load(self, user: str='', *args, **kwargs) -> None:
"""Loads cookies from a file. Insert the account name to the cookie filename, set the instance`s filename and load t... | stack_v2_sparse_classes_75kplus_train_004419 | 19,541 | permissive | [
{
"docstring": "Loads cookies from a file. Insert the account name to the cookie filename, set the instance`s filename and load the cookies. :param user: account name to be part of the cookie filename.",
"name": "load",
"signature": "def load(self, user: str='', *args, **kwargs) -> None"
},
{
"d... | 2 | null | Implement the Python class `PywikibotCookieJar` described below.
Class description:
CookieJar which create the filename and checks file permissions. .. versionadded:: 8.0
Method signatures and docstrings:
- def load(self, user: str='', *args, **kwargs) -> None: Loads cookies from a file. Insert the account name to th... | Implement the Python class `PywikibotCookieJar` described below.
Class description:
CookieJar which create the filename and checks file permissions. .. versionadded:: 8.0
Method signatures and docstrings:
- def load(self, user: str='', *args, **kwargs) -> None: Loads cookies from a file. Insert the account name to th... | 5c01e6bfcd328bc6eae643e661f1a0ae57612808 | <|skeleton|>
class PywikibotCookieJar:
"""CookieJar which create the filename and checks file permissions. .. versionadded:: 8.0"""
def load(self, user: str='', *args, **kwargs) -> None:
"""Loads cookies from a file. Insert the account name to the cookie filename, set the instance`s filename and load t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PywikibotCookieJar:
"""CookieJar which create the filename and checks file permissions. .. versionadded:: 8.0"""
def load(self, user: str='', *args, **kwargs) -> None:
"""Loads cookies from a file. Insert the account name to the cookie filename, set the instance`s filename and load the cookies. :... | the_stack_v2_python_sparse | pywikibot/comms/http.py | wikimedia/pywikibot | train | 432 |
dc4be14d2d66dac55f33e7bb47a38e6dac681354 | [
"super(SiteOrder, self).__init__(parent)\nself.parent = parent\nself.resize(400, 300)\nself.list_site = list_site\nself.populate(self.list_site)",
"mainLayout = QtGui.QGridLayout(self)\nself.list_site = QtGui.QListWidget()\nfor i in list_site:\n item = QtGui.QListWidgetItem(i)\n self.list_site.addItem(item)... | <|body_start_0|>
super(SiteOrder, self).__init__(parent)
self.parent = parent
self.resize(400, 300)
self.list_site = list_site
self.populate(self.list_site)
<|end_body_0|>
<|body_start_1|>
mainLayout = QtGui.QGridLayout(self)
self.list_site = QtGui.QListWidget()
... | display playing list | SiteOrder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SiteOrder:
"""display playing list"""
def __init__(self, list_site, parent=None):
"""initialisation"""
<|body_0|>
def populate(self, list_site):
"""create layout"""
<|body_1|>
def moveUp(self):
"""up is clicked"""
<|body_2|>
def ... | stack_v2_sparse_classes_75kplus_train_004420 | 2,368 | no_license | [
{
"docstring": "initialisation",
"name": "__init__",
"signature": "def __init__(self, list_site, parent=None)"
},
{
"docstring": "create layout",
"name": "populate",
"signature": "def populate(self, list_site)"
},
{
"docstring": "up is clicked",
"name": "moveUp",
"signatu... | 5 | stack_v2_sparse_classes_30k_train_005470 | Implement the Python class `SiteOrder` described below.
Class description:
display playing list
Method signatures and docstrings:
- def __init__(self, list_site, parent=None): initialisation
- def populate(self, list_site): create layout
- def moveUp(self): up is clicked
- def moveDown(self): down is clicked
- def sa... | Implement the Python class `SiteOrder` described below.
Class description:
display playing list
Method signatures and docstrings:
- def __init__(self, list_site, parent=None): initialisation
- def populate(self, list_site): create layout
- def moveUp(self): up is clicked
- def moveDown(self): down is clicked
- def sa... | a24b3e4e8acbd4da9ba4c83bf96c0b2d2a2cca9c | <|skeleton|>
class SiteOrder:
"""display playing list"""
def __init__(self, list_site, parent=None):
"""initialisation"""
<|body_0|>
def populate(self, list_site):
"""create layout"""
<|body_1|>
def moveUp(self):
"""up is clicked"""
<|body_2|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SiteOrder:
"""display playing list"""
def __init__(self, list_site, parent=None):
"""initialisation"""
super(SiteOrder, self).__init__(parent)
self.parent = parent
self.resize(400, 300)
self.list_site = list_site
self.populate(self.list_site)
def popul... | the_stack_v2_python_sparse | gui/menusiteorder.py | sensini42/flvdown | train | 0 |
8efb0e14597bbb9653723ddf2ee062aeaca6c49d | [
"parser.add_argument('subscription', nargs='+', help='One or more subscriptions to create.')\nparser.add_argument('--topic', required=True, help='The name of the topic from which this subscription is receiving messages. Each subscription is attached to a single topic.')\nparser.add_argument('--topic-project', defau... | <|body_start_0|>
parser.add_argument('subscription', nargs='+', help='One or more subscriptions to create.')
parser.add_argument('--topic', required=True, help='The name of the topic from which this subscription is receiving messages. Each subscription is attached to a single topic.')
parser.add... | Creates one or more Cloud Pub/Sub subscriptions. Creates one or more Cloud Pub/Sub subscriptions for a given topic. The new subscription defaults to a PULL subscription unless a push endpoint is specified. | Create | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Create:
"""Creates one or more Cloud Pub/Sub subscriptions. Creates one or more Cloud Pub/Sub subscriptions for a given topic. The new subscription defaults to a PULL subscription unless a push endpoint is specified."""
def Args(parser):
"""Registers flags for this command."""
... | stack_v2_sparse_classes_75kplus_train_004421 | 4,149 | permissive | [
{
"docstring": "Registers flags for this command.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring": "This is what gets called when the user runs this command. Args: args: an argparse namespace. All the arguments that were provided to this command invocation. Returns: A 2-tuple ... | 3 | stack_v2_sparse_classes_30k_train_003820 | Implement the Python class `Create` described below.
Class description:
Creates one or more Cloud Pub/Sub subscriptions. Creates one or more Cloud Pub/Sub subscriptions for a given topic. The new subscription defaults to a PULL subscription unless a push endpoint is specified.
Method signatures and docstrings:
- def ... | Implement the Python class `Create` described below.
Class description:
Creates one or more Cloud Pub/Sub subscriptions. Creates one or more Cloud Pub/Sub subscriptions for a given topic. The new subscription defaults to a PULL subscription unless a push endpoint is specified.
Method signatures and docstrings:
- def ... | 1f9b424c40a87b46656fc9f5e2e9c81895c7e614 | <|skeleton|>
class Create:
"""Creates one or more Cloud Pub/Sub subscriptions. Creates one or more Cloud Pub/Sub subscriptions for a given topic. The new subscription defaults to a PULL subscription unless a push endpoint is specified."""
def Args(parser):
"""Registers flags for this command."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Create:
"""Creates one or more Cloud Pub/Sub subscriptions. Creates one or more Cloud Pub/Sub subscriptions for a given topic. The new subscription defaults to a PULL subscription unless a push endpoint is specified."""
def Args(parser):
"""Registers flags for this command."""
parser.add_... | the_stack_v2_python_sparse | google-cloud-sdk/lib/googlecloudsdk/surface/pubsub/subscriptions/create.py | twistedpair/google-cloud-sdk | train | 58 |
60e4265de925264bd28dd173ee95d1bb24b61860 | [
"self.X_val = X_val\nself.Y_val = Y_val\nself.p = np.shape(self.X_val)[1]\nself.b = b\nself.n_jobs = n_jobs\nself.n_classes = n_classes",
"primitive_idx = list(range(self.p))\nfeature_combinations = []\nfor comb in itertools.combinations(primitive_idx, cardinality):\n feature_combinations.append(comb)\nreturn ... | <|body_start_0|>
self.X_val = X_val
self.Y_val = Y_val
self.p = np.shape(self.X_val)[1]
self.b = b
self.n_jobs = n_jobs
self.n_classes = n_classes
<|end_body_0|>
<|body_start_1|>
primitive_idx = list(range(self.p))
feature_combinations = []
for co... | A class to synthesize heuristics from primitives and validation labels | Synthesizer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Synthesizer:
"""A class to synthesize heuristics from primitives and validation labels"""
def __init__(self, X_val, Y_val, n_classes, b=0.5, n_jobs=4):
"""Initialize Synthesizer object b: class prior of most likely class beta: threshold to decide whether to abstain or label for heuri... | stack_v2_sparse_classes_75kplus_train_004422 | 5,326 | permissive | [
{
"docstring": "Initialize Synthesizer object b: class prior of most likely class beta: threshold to decide whether to abstain or label for heuristics",
"name": "__init__",
"signature": "def __init__(self, X_val, Y_val, n_classes, b=0.5, n_jobs=4)"
},
{
"docstring": "Create a list of primitive i... | 6 | stack_v2_sparse_classes_30k_train_022009 | Implement the Python class `Synthesizer` described below.
Class description:
A class to synthesize heuristics from primitives and validation labels
Method signatures and docstrings:
- def __init__(self, X_val, Y_val, n_classes, b=0.5, n_jobs=4): Initialize Synthesizer object b: class prior of most likely class beta: ... | Implement the Python class `Synthesizer` described below.
Class description:
A class to synthesize heuristics from primitives and validation labels
Method signatures and docstrings:
- def __init__(self, X_val, Y_val, n_classes, b=0.5, n_jobs=4): Initialize Synthesizer object b: class prior of most likely class beta: ... | 8dc539f38b70c10922a8dedce4654e7eaf95b099 | <|skeleton|>
class Synthesizer:
"""A class to synthesize heuristics from primitives and validation labels"""
def __init__(self, X_val, Y_val, n_classes, b=0.5, n_jobs=4):
"""Initialize Synthesizer object b: class prior of most likely class beta: threshold to decide whether to abstain or label for heuri... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Synthesizer:
"""A class to synthesize heuristics from primitives and validation labels"""
def __init__(self, X_val, Y_val, n_classes, b=0.5, n_jobs=4):
"""Initialize Synthesizer object b: class prior of most likely class beta: threshold to decide whether to abstain or label for heuristics"""
... | the_stack_v2_python_sparse | program_synthesis/synthesizer.py | jgonsior/reef | train | 0 |
7c27759445faf330fb4ce6dcfcf783e17fbf6914 | [
"if type(obj) != sidecarclient.v2.client.Client:\n raise exception.NotSupported('Not an instance of sidecarclient.')\nself._obj = obj",
"self._obj.authenticate()\nheaders = {'X-Auth-Token': self._obj.authenticated_token}\nurl = self._obj.sidecar_url\ndata = self._obj.http.get(url, headers)\nresult = []\nfor ve... | <|body_start_0|>
if type(obj) != sidecarclient.v2.client.Client:
raise exception.NotSupported('Not an instance of sidecarclient.')
self._obj = obj
<|end_body_0|>
<|body_start_1|>
self._obj.authenticate()
headers = {'X-Auth-Token': self._obj.authenticated_token}
url =... | class to connect to version service | VersionsHttp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersionsHttp:
"""class to connect to version service"""
def __init__(self, obj):
"""# | Initialization function to connect to version api # | # | Arguments: # | <obj>: instance of sidecarclient.v2.client.Client: # | # | Returns: None"""
<|body_0|>
def list(self):
... | stack_v2_sparse_classes_75kplus_train_004423 | 3,022 | no_license | [
{
"docstring": "# | Initialization function to connect to version api # | # | Arguments: # | <obj>: instance of sidecarclient.v2.client.Client: # | # | Returns: None",
"name": "__init__",
"signature": "def __init__(self, obj)"
},
{
"docstring": "# | Function to list the versions # | # | Argument... | 2 | null | Implement the Python class `VersionsHttp` described below.
Class description:
class to connect to version service
Method signatures and docstrings:
- def __init__(self, obj): # | Initialization function to connect to version api # | # | Arguments: # | <obj>: instance of sidecarclient.v2.client.Client: # | # | Returns... | Implement the Python class `VersionsHttp` described below.
Class description:
class to connect to version service
Method signatures and docstrings:
- def __init__(self, obj): # | Initialization function to connect to version api # | # | Arguments: # | <obj>: instance of sidecarclient.v2.client.Client: # | # | Returns... | b9bf4b6a8aebfe127244369f5d59412f9f913ec1 | <|skeleton|>
class VersionsHttp:
"""class to connect to version service"""
def __init__(self, obj):
"""# | Initialization function to connect to version api # | # | Arguments: # | <obj>: instance of sidecarclient.v2.client.Client: # | # | Returns: None"""
<|body_0|>
def list(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VersionsHttp:
"""class to connect to version service"""
def __init__(self, obj):
"""# | Initialization function to connect to version api # | # | Arguments: # | <obj>: instance of sidecarclient.v2.client.Client: # | # | Returns: None"""
if type(obj) != sidecarclient.v2.client.Client:
... | the_stack_v2_python_sparse | python-sidecarclient/sidecarclient/v2/versions.py | binoymvas/rallyboard | train | 0 |
b07a0bf81931f815f463491ffff90fedaf381742 | [
"ui = os.path.join(_config.get_data_path(), 'ui', 'SeleccionAlumnos.ui')\nif not os.path.exists(ui):\n ui = None\nif stand_alone:\n top_widget = 'seleccion_alumnos'\nelse:\n top_widget = 'sw_scroller'\nView.__init__(self, builder=ui, parent=parent, top=top_widget)\nreturn",
"res = self['seleccion_alumnos... | <|body_start_0|>
ui = os.path.join(_config.get_data_path(), 'ui', 'SeleccionAlumnos.ui')
if not os.path.exists(ui):
ui = None
if stand_alone:
top_widget = 'seleccion_alumnos'
else:
top_widget = 'sw_scroller'
View.__init__(self, builder=ui, pare... | BancoView handles only the graphical representation of the application. The widgets set is loaded from a glade file. Public methods: run() | SeleccionAlumnosView | [
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SeleccionAlumnosView:
"""BancoView handles only the graphical representation of the application. The widgets set is loaded from a glade file. Public methods: run()"""
def __init__(self, parent=None, stand_alone=True):
"""Constructor for AlumnoView reads a graphical representation of ... | stack_v2_sparse_classes_75kplus_train_004424 | 1,559 | permissive | [
{
"docstring": "Constructor for AlumnoView reads a graphical representation of the view from a glade file. parent: The name of the window that spawned this one stand_alone: If true, this view is a window unto itself. If not, it is embedded in another window.",
"name": "__init__",
"signature": "def __ini... | 2 | stack_v2_sparse_classes_30k_train_029844 | Implement the Python class `SeleccionAlumnosView` described below.
Class description:
BancoView handles only the graphical representation of the application. The widgets set is loaded from a glade file. Public methods: run()
Method signatures and docstrings:
- def __init__(self, parent=None, stand_alone=True): Constr... | Implement the Python class `SeleccionAlumnosView` described below.
Class description:
BancoView handles only the graphical representation of the application. The widgets set is loaded from a glade file. Public methods: run()
Method signatures and docstrings:
- def __init__(self, parent=None, stand_alone=True): Constr... | 1ec22552a3bd3e46dd3d647d007424f5a355f0ff | <|skeleton|>
class SeleccionAlumnosView:
"""BancoView handles only the graphical representation of the application. The widgets set is loaded from a glade file. Public methods: run()"""
def __init__(self, parent=None, stand_alone=True):
"""Constructor for AlumnoView reads a graphical representation of ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SeleccionAlumnosView:
"""BancoView handles only the graphical representation of the application. The widgets set is loaded from a glade file. Public methods: run()"""
def __init__(self, parent=None, stand_alone=True):
"""Constructor for AlumnoView reads a graphical representation of the view from... | the_stack_v2_python_sparse | gestionacademia/views/seleccionalumnos_view.py | jonlatorre/gestionacademia | train | 1 |
b7b0d77b10ec7cba0911310c7ef4ff76b4dbfc75 | [
"parser = make_paged_search_parser()\nargs = parser.parse_args()\nif args['limit'] is None:\n limit = 4\nelse:\n limit = args['limit']\nif args['name'] is not None:\n customers, total_count = models.Customer.load_by_name(args['name'], args['page'], limit)\nelse:\n customers, total_count = models.Custome... | <|body_start_0|>
parser = make_paged_search_parser()
args = parser.parse_args()
if args['limit'] is None:
limit = 4
else:
limit = args['limit']
if args['name'] is not None:
customers, total_count = models.Customer.load_by_name(args['name'], arg... | Operations related to the list of customers. | CustomerList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomerList:
"""Operations related to the list of customers."""
def get(self):
"""Get the list of all customers, possibly filtered by name"""
<|body_0|>
def post(self):
"""Create a new customer"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
pa... | stack_v2_sparse_classes_75kplus_train_004425 | 3,912 | no_license | [
{
"docstring": "Get the list of all customers, possibly filtered by name",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Create a new customer",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013293 | Implement the Python class `CustomerList` described below.
Class description:
Operations related to the list of customers.
Method signatures and docstrings:
- def get(self): Get the list of all customers, possibly filtered by name
- def post(self): Create a new customer | Implement the Python class `CustomerList` described below.
Class description:
Operations related to the list of customers.
Method signatures and docstrings:
- def get(self): Get the list of all customers, possibly filtered by name
- def post(self): Create a new customer
<|skeleton|>
class CustomerList:
"""Operat... | ab874354e94e789fbea090f29e507fca2223284d | <|skeleton|>
class CustomerList:
"""Operations related to the list of customers."""
def get(self):
"""Get the list of all customers, possibly filtered by name"""
<|body_0|>
def post(self):
"""Create a new customer"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CustomerList:
"""Operations related to the list of customers."""
def get(self):
"""Get the list of all customers, possibly filtered by name"""
parser = make_paged_search_parser()
args = parser.parse_args()
if args['limit'] is None:
limit = 4
else:
... | the_stack_v2_python_sparse | app/apis/customer_api.py | TheWinch/flask-tuto | train | 0 |
dfa701858419849bdcd76451123b7b224635bba0 | [
"if crn is None:\n raise ValueError('crn must be provided')\nif zone_id is None:\n raise ValueError('zone_id must be provided')\nauthenticator = get_authenticator_from_environment(service_name)\nservice = cls(crn, zone_id, authenticator)\nservice.configure_service(service_name)\nreturn service",
"if crn is ... | <|body_start_0|>
if crn is None:
raise ValueError('crn must be provided')
if zone_id is None:
raise ValueError('zone_id must be provided')
authenticator = get_authenticator_from_environment(service_name)
service = cls(crn, zone_id, authenticator)
service.c... | The Security Events API V1 service. | SecurityEventsApiV1 | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SecurityEventsApiV1:
"""The Security Events API V1 service."""
def new_instance(cls, crn: str, zone_id: str, service_name: str=DEFAULT_SERVICE_NAME) -> 'SecurityEventsApiV1':
"""Return a new client for the Security Events API service using the specified parameters and external config... | stack_v2_sparse_classes_75kplus_train_004426 | 39,687 | permissive | [
{
"docstring": "Return a new client for the Security Events API service using the specified parameters and external configuration. :param str crn: Full url-encoded cloud resource name (CRN) of resource instance. :param str zone_id: zone identifier.",
"name": "new_instance",
"signature": "def new_instanc... | 3 | stack_v2_sparse_classes_30k_train_001318 | Implement the Python class `SecurityEventsApiV1` described below.
Class description:
The Security Events API V1 service.
Method signatures and docstrings:
- def new_instance(cls, crn: str, zone_id: str, service_name: str=DEFAULT_SERVICE_NAME) -> 'SecurityEventsApiV1': Return a new client for the Security Events API s... | Implement the Python class `SecurityEventsApiV1` described below.
Class description:
The Security Events API V1 service.
Method signatures and docstrings:
- def new_instance(cls, crn: str, zone_id: str, service_name: str=DEFAULT_SERVICE_NAME) -> 'SecurityEventsApiV1': Return a new client for the Security Events API s... | 7eed5185f1e93a57e43d0d7a1e83ee8c708179e0 | <|skeleton|>
class SecurityEventsApiV1:
"""The Security Events API V1 service."""
def new_instance(cls, crn: str, zone_id: str, service_name: str=DEFAULT_SERVICE_NAME) -> 'SecurityEventsApiV1':
"""Return a new client for the Security Events API service using the specified parameters and external config... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SecurityEventsApiV1:
"""The Security Events API V1 service."""
def new_instance(cls, crn: str, zone_id: str, service_name: str=DEFAULT_SERVICE_NAME) -> 'SecurityEventsApiV1':
"""Return a new client for the Security Events API service using the specified parameters and external configuration. :par... | the_stack_v2_python_sparse | ibm_cloud_networking_services/security_events_api_v1.py | mauriceDevsM/networking-python-sdk | train | 0 |
6b2c4143a80df5931e14f92675e9c4bdb2ab2741 | [
"super(Transformer, self).__init__()\nself.embedding = fc_block(input_dim, output_dim, activation=activation)\nself.act = activation\nlayers = []\ndims = [output_dim] + [output_dim] * layer_num\nself.dropout = nn.Dropout(dropout_ratio)\nfor i in range(layer_num):\n layers.append(TransformerLayer(dims[i], head_di... | <|body_start_0|>
super(Transformer, self).__init__()
self.embedding = fc_block(input_dim, output_dim, activation=activation)
self.act = activation
layers = []
dims = [output_dim] + [output_dim] * layer_num
self.dropout = nn.Dropout(dropout_ratio)
for i in range(la... | Overview: Transformer implementation .. note:: For details refer to Attention is all you need: http://arxiv.org/abs/1706.03762 | Transformer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transformer:
"""Overview: Transformer implementation .. note:: For details refer to Attention is all you need: http://arxiv.org/abs/1706.03762"""
def __init__(self, input_dim: int, head_dim: int=128, hidden_dim: int=1024, output_dim: int=256, head_num: int=2, mlp_num: int=2, layer_num: int=3... | stack_v2_sparse_classes_75kplus_train_004427 | 8,556 | permissive | [
{
"docstring": "Overview: Init transformer Arguments: - input_dim (:obj:`int`): dimension of input - head_dim (:obj:`int`): dimension of each head - hidden_dim (:obj:`int`): dimension of hidden layer in mlp - output_dim (:obj:`int`): dimension of output - head_num (:obj:`int`): number of heads for multihead att... | 2 | stack_v2_sparse_classes_30k_train_037748 | Implement the Python class `Transformer` described below.
Class description:
Overview: Transformer implementation .. note:: For details refer to Attention is all you need: http://arxiv.org/abs/1706.03762
Method signatures and docstrings:
- def __init__(self, input_dim: int, head_dim: int=128, hidden_dim: int=1024, ou... | Implement the Python class `Transformer` described below.
Class description:
Overview: Transformer implementation .. note:: For details refer to Attention is all you need: http://arxiv.org/abs/1706.03762
Method signatures and docstrings:
- def __init__(self, input_dim: int, head_dim: int=128, hidden_dim: int=1024, ou... | eb483fa6e46602d58c8e7d2ca1e566adca28e703 | <|skeleton|>
class Transformer:
"""Overview: Transformer implementation .. note:: For details refer to Attention is all you need: http://arxiv.org/abs/1706.03762"""
def __init__(self, input_dim: int, head_dim: int=128, hidden_dim: int=1024, output_dim: int=256, head_num: int=2, mlp_num: int=2, layer_num: int=3... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Transformer:
"""Overview: Transformer implementation .. note:: For details refer to Attention is all you need: http://arxiv.org/abs/1706.03762"""
def __init__(self, input_dim: int, head_dim: int=128, hidden_dim: int=1024, output_dim: int=256, head_num: int=2, mlp_num: int=2, layer_num: int=3, dropout_rat... | the_stack_v2_python_sparse | ding/torch_utils/network/transformer.py | shengxuesun/DI-engine | train | 1 |
52b6c9907bd0c6c7db3b7d0b4b5111ca160427e3 | [
"if not connections:\n raise ImproperlyConfigured('No defined connections, you need to specify at least one host.')\nself.connection_opts = connections\nself.connections = [c for c, opts in connections]\nself.orig_connections = tuple(self.connections)\nself.dead = PriorityQueue(len(self.connections))\nself.dead_... | <|body_start_0|>
if not connections:
raise ImproperlyConfigured('No defined connections, you need to specify at least one host.')
self.connection_opts = connections
self.connections = [c for c, opts in connections]
self.orig_connections = tuple(self.connections)
self.... | Container holding the :class:`~elasticsearch.Connection` instances, managing the selection process (via a :class:`~elasticsearch.ConnectionSelector`) and dead connections. It's only interactions are with the :class:`~elasticsearch.Transport` class that drives all the actions within `ConnectionPool`. Initially connectio... | ConnectionPool | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConnectionPool:
"""Container holding the :class:`~elasticsearch.Connection` instances, managing the selection process (via a :class:`~elasticsearch.ConnectionSelector`) and dead connections. It's only interactions are with the :class:`~elasticsearch.Transport` class that drives all the actions wi... | stack_v2_sparse_classes_75kplus_train_004428 | 9,607 | permissive | [
{
"docstring": ":arg connections: list of tuples containing the :class:`~elasticsearch.Connection` instance and it's options :arg dead_timeout: number of seconds a connection should be retired for after a failure, increases on consecutive failures :arg timeout_cutoff: number of consecutive failures after which ... | 5 | null | Implement the Python class `ConnectionPool` described below.
Class description:
Container holding the :class:`~elasticsearch.Connection` instances, managing the selection process (via a :class:`~elasticsearch.ConnectionSelector`) and dead connections. It's only interactions are with the :class:`~elasticsearch.Transpor... | Implement the Python class `ConnectionPool` described below.
Class description:
Container holding the :class:`~elasticsearch.Connection` instances, managing the selection process (via a :class:`~elasticsearch.ConnectionSelector`) and dead connections. It's only interactions are with the :class:`~elasticsearch.Transpor... | 7336c99c15f567db99f96394847f988e44851f9c | <|skeleton|>
class ConnectionPool:
"""Container holding the :class:`~elasticsearch.Connection` instances, managing the selection process (via a :class:`~elasticsearch.ConnectionSelector`) and dead connections. It's only interactions are with the :class:`~elasticsearch.Transport` class that drives all the actions wi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConnectionPool:
"""Container holding the :class:`~elasticsearch.Connection` instances, managing the selection process (via a :class:`~elasticsearch.ConnectionSelector`) and dead connections. It's only interactions are with the :class:`~elasticsearch.Transport` class that drives all the actions within `Connect... | the_stack_v2_python_sparse | pkg/elastic-migration/elasticsearch1/connection_pool.py | control-center/serviced | train | 94 |
52675f11717727d927da5c6306067d5337b50a78 | [
"shape = tensor.get_shape()\naxis_to_shard = [s > partition_info.max_dim_size for s in shape]\nsplit_sizes_per_dim = []\nfor sharded, dim in zip(axis_to_shard, shape):\n dim = int(dim)\n split_sizes_per_dim.append([dim])\n if sharded:\n split_sizes = []\n num_shards = dim // partition_info.pa... | <|body_start_0|>
shape = tensor.get_shape()
axis_to_shard = [s > partition_info.max_dim_size for s in shape]
split_sizes_per_dim = []
for sharded, dim in zip(axis_to_shard, shape):
dim = int(dim)
split_sizes_per_dim.append([dim])
if sharded:
... | Shards Tensor's across its axis. In cases of TPUs, these partitions are zero cost, and does not involve data movement. | TensorPartitioner | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TensorPartitioner:
"""Shards Tensor's across its axis. In cases of TPUs, these partitions are zero cost, and does not involve data movement."""
def partition_metadata(cls, tensor, partition_info):
"""Returns metadata required for partitioning and reforming tensors. Args: tensor: Tens... | stack_v2_sparse_classes_75kplus_train_004429 | 27,917 | permissive | [
{
"docstring": "Returns metadata required for partitioning and reforming tensors. Args: tensor: Tensor to partition. partition_info: Partitioning info. Returns: split_sizes_per_dim and num_splits_per_dim.",
"name": "partition_metadata",
"signature": "def partition_metadata(cls, tensor, partition_info)"
... | 3 | stack_v2_sparse_classes_30k_train_015310 | Implement the Python class `TensorPartitioner` described below.
Class description:
Shards Tensor's across its axis. In cases of TPUs, these partitions are zero cost, and does not involve data movement.
Method signatures and docstrings:
- def partition_metadata(cls, tensor, partition_info): Returns metadata required f... | Implement the Python class `TensorPartitioner` described below.
Class description:
Shards Tensor's across its axis. In cases of TPUs, these partitions are zero cost, and does not involve data movement.
Method signatures and docstrings:
- def partition_metadata(cls, tensor, partition_info): Returns metadata required f... | c00a74b260fcf6ba11199cc4a340c127d6616479 | <|skeleton|>
class TensorPartitioner:
"""Shards Tensor's across its axis. In cases of TPUs, these partitions are zero cost, and does not involve data movement."""
def partition_metadata(cls, tensor, partition_info):
"""Returns metadata required for partitioning and reforming tensors. Args: tensor: Tens... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TensorPartitioner:
"""Shards Tensor's across its axis. In cases of TPUs, these partitions are zero cost, and does not involve data movement."""
def partition_metadata(cls, tensor, partition_info):
"""Returns metadata required for partitioning and reforming tensors. Args: tensor: Tensor to partiti... | the_stack_v2_python_sparse | lingvo/core/distributed_shampoo.py | tensorflow/lingvo | train | 2,963 |
1c98db9cb028c5e321b2b1e8c3fddf3ae72dd1a7 | [
"for col_index in range(len(self._table.col_names) + 1):\n self._stream.write(self.renderer.define_col_header(col_index, self.style))\nself._stream.write('<thead>\\n<row>\\n')\nself._stream.write('<entry></entry>\\n')\nfor col_name in self._table.col_names:\n self._stream.write(self.renderer.render_col_cell(c... | <|body_start_0|>
for col_index in range(len(self._table.col_names) + 1):
self._stream.write(self.renderer.define_col_header(col_index, self.style))
self._stream.write('<thead>\n<row>\n')
self._stream.write('<entry></entry>\n')
for col_name in self._table.col_names:
... | Defines an implementation of TableWriter to write a table in Docbook | DocbookTableWriter | [
"GPL-2.0-only",
"GPL-1.0-or-later",
"MIT",
"LGPL-2.0-or-later",
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DocbookTableWriter:
"""Defines an implementation of TableWriter to write a table in Docbook"""
def _write_headers(self):
"""Writes col headers"""
<|body_0|>
def _write_body(self):
"""Writes the table body"""
<|body_1|>
def write_table(self, title='')... | stack_v2_sparse_classes_75kplus_train_004430 | 31,408 | permissive | [
{
"docstring": "Writes col headers",
"name": "_write_headers",
"signature": "def _write_headers(self)"
},
{
"docstring": "Writes the table body",
"name": "_write_body",
"signature": "def _write_body(self)"
},
{
"docstring": "Writes the table",
"name": "write_table",
"sign... | 3 | null | Implement the Python class `DocbookTableWriter` described below.
Class description:
Defines an implementation of TableWriter to write a table in Docbook
Method signatures and docstrings:
- def _write_headers(self): Writes col headers
- def _write_body(self): Writes the table body
- def write_table(self, title=''): Wr... | Implement the Python class `DocbookTableWriter` described below.
Class description:
Defines an implementation of TableWriter to write a table in Docbook
Method signatures and docstrings:
- def _write_headers(self): Writes col headers
- def _write_body(self): Writes the table body
- def write_table(self, title=''): Wr... | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | <|skeleton|>
class DocbookTableWriter:
"""Defines an implementation of TableWriter to write a table in Docbook"""
def _write_headers(self):
"""Writes col headers"""
<|body_0|>
def _write_body(self):
"""Writes the table body"""
<|body_1|>
def write_table(self, title='')... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DocbookTableWriter:
"""Defines an implementation of TableWriter to write a table in Docbook"""
def _write_headers(self):
"""Writes col headers"""
for col_index in range(len(self._table.col_names) + 1):
self._stream.write(self.renderer.define_col_header(col_index, self.style))
... | the_stack_v2_python_sparse | third_party/logilab/logilab/common/table.py | chromium/chromium | train | 17,408 |
ea1ae3cc888dfda6f49cce7de88b363d1696cdbb | [
"self.a = a\nself.b = b\nself.c = c\nself.d = d",
"v = self.c\nu = self.d\ni = 0\nmonitor = {'v': [], 'u': []}\nfor t in range(int(time / dt)):\n du = self.a * (self.b * v - u)\n u += du * dt\n monitor['u'].append(u)\n dv = 0.04 * v ** 2 + 5 * v + 140 - u + inputs[t]\n v += dv * dt\n monitor['v'... | <|body_start_0|>
self.a = a
self.b = b
self.c = c
self.d = d
<|end_body_0|>
<|body_start_1|>
v = self.c
u = self.d
i = 0
monitor = {'v': [], 'u': []}
for t in range(int(time / dt)):
du = self.a * (self.b * v - u)
u += du * ... | Izhikevich | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Izhikevich:
def __init__(self, a, b, c, d):
"""Izhikevich neuron model :param a: uのスケーリング係数 :param b: vに対するuの感受性度合い :param c: 静止膜電位 :param d: 発火後の膜電位が落ち着くまでを司る係数"""
<|body_0|>
def calc(self, inputs, time=300, dt=0.5, tci=10):
"""膜電位(Membrane potential) v と回復変数(Recove... | stack_v2_sparse_classes_75kplus_train_004431 | 2,825 | permissive | [
{
"docstring": "Izhikevich neuron model :param a: uのスケーリング係数 :param b: vに対するuの感受性度合い :param c: 静止膜電位 :param d: 発火後の膜電位が落ち着くまでを司る係数",
"name": "__init__",
"signature": "def __init__(self, a, b, c, d)"
},
{
"docstring": "膜電位(Membrane potential) v と回復変数(Recovery variable) u を計算する :param inputs: :par... | 2 | stack_v2_sparse_classes_30k_train_022124 | Implement the Python class `Izhikevich` described below.
Class description:
Implement the Izhikevich class.
Method signatures and docstrings:
- def __init__(self, a, b, c, d): Izhikevich neuron model :param a: uのスケーリング係数 :param b: vに対するuの感受性度合い :param c: 静止膜電位 :param d: 発火後の膜電位が落ち着くまでを司る係数
- def calc(self, inputs, ti... | Implement the Python class `Izhikevich` described below.
Class description:
Implement the Izhikevich class.
Method signatures and docstrings:
- def __init__(self, a, b, c, d): Izhikevich neuron model :param a: uのスケーリング係数 :param b: vに対するuの感受性度合い :param c: 静止膜電位 :param d: 発火後の膜電位が落ち着くまでを司る係数
- def calc(self, inputs, ti... | e26e7ce2bbebaa35ad3e325c09f05c334d753049 | <|skeleton|>
class Izhikevich:
def __init__(self, a, b, c, d):
"""Izhikevich neuron model :param a: uのスケーリング係数 :param b: vに対するuの感受性度合い :param c: 静止膜電位 :param d: 発火後の膜電位が落ち着くまでを司る係数"""
<|body_0|>
def calc(self, inputs, time=300, dt=0.5, tci=10):
"""膜電位(Membrane potential) v と回復変数(Recove... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Izhikevich:
def __init__(self, a, b, c, d):
"""Izhikevich neuron model :param a: uのスケーリング係数 :param b: vに対するuの感受性度合い :param c: 静止膜電位 :param d: 発火後の膜電位が落ち着くまでを司る係数"""
self.a = a
self.b = b
self.c = c
self.d = d
def calc(self, inputs, time=300, dt=0.5, tci=10):
... | the_stack_v2_python_sparse | codes/s3-4_IZH.py | ttt496/snn_from_scratch | train | 0 | |
bea0d5a6205c1636270eccea38224e80648d6941 | [
"super(DecoderLayer, self).__init__()\nself.size = size\nself.self_attn = self_attn\nself.src_attn = src_attn\nself.feed_forward = feed_forward\nself.sublayer = clones(SublayerConnection(size, dropout), 3)",
"m = memory\n'\\n 将x传入第一个子层结构，第一个子层结构的输入分别是x和self_attn函数，因为是自注意力机制，所以Q，K，V相等\\n target_mask是... | <|body_start_0|>
super(DecoderLayer, self).__init__()
self.size = size
self.self_attn = self_attn
self.src_attn = src_attn
self.feed_forward = feed_forward
self.sublayer = clones(SublayerConnection(size, dropout), 3)
<|end_body_0|>
<|body_start_1|>
m = memory
... | DecoderLayer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DecoderLayer:
def __init__(self, size, self_attn, src_attn, feed_forward, dropout):
""":param size: 词嵌入的维度大小 :param self_attn: 多头自注意力对象，Q=K=V :param src_attn: 多头注意力对象，Q!=K=V :param feed_forward: 前馈全连接层对象 :param dropout: 置0比率"""
<|body_0|>
def forward(self, x, memory, source_... | stack_v2_sparse_classes_75kplus_train_004432 | 15,718 | no_license | [
{
"docstring": ":param size: 词嵌入的维度大小 :param self_attn: 多头自注意力对象，Q=K=V :param src_attn: 多头注意力对象，Q!=K=V :param feed_forward: 前馈全连接层对象 :param dropout: 置0比率",
"name": "__init__",
"signature": "def __init__(self, size, self_attn, src_attn, feed_forward, dropout)"
},
{
"docstring": ":param x: 上一层输入 :... | 2 | stack_v2_sparse_classes_30k_train_007739 | Implement the Python class `DecoderLayer` described below.
Class description:
Implement the DecoderLayer class.
Method signatures and docstrings:
- def __init__(self, size, self_attn, src_attn, feed_forward, dropout): :param size: 词嵌入的维度大小 :param self_attn: 多头自注意力对象，Q=K=V :param src_attn: 多头注意力对象，Q!=K=V :param feed_f... | Implement the Python class `DecoderLayer` described below.
Class description:
Implement the DecoderLayer class.
Method signatures and docstrings:
- def __init__(self, size, self_attn, src_attn, feed_forward, dropout): :param size: 词嵌入的维度大小 :param self_attn: 多头自注意力对象，Q=K=V :param src_attn: 多头注意力对象，Q!=K=V :param feed_f... | 9d1f87a51eea48314d454f84c486d29352eb5b13 | <|skeleton|>
class DecoderLayer:
def __init__(self, size, self_attn, src_attn, feed_forward, dropout):
""":param size: 词嵌入的维度大小 :param self_attn: 多头自注意力对象，Q=K=V :param src_attn: 多头注意力对象，Q!=K=V :param feed_forward: 前馈全连接层对象 :param dropout: 置0比率"""
<|body_0|>
def forward(self, x, memory, source_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DecoderLayer:
def __init__(self, size, self_attn, src_attn, feed_forward, dropout):
""":param size: 词嵌入的维度大小 :param self_attn: 多头自注意力对象，Q=K=V :param src_attn: 多头注意力对象，Q!=K=V :param feed_forward: 前馈全连接层对象 :param dropout: 置0比率"""
super(DecoderLayer, self).__init__()
self.size = size
... | the_stack_v2_python_sparse | DeepLearning/Transformer/transformer.py | pxz97/AlgorithmsByPython | train | 1 | |
858f150665dd962cd11925133091c9ab8f6712c3 | [
"self.facts = facts_string\nself.obj_type_map = obj_type_map\nself.domain_name = domain_name\nself.problem_name = problem_name",
"ori_obj_name = object_name\nif object_name:\n object_name = object_name.upper()\n for obj in self.obj_type_map.keys():\n if obj.upper() == object_name:\n ori_ob... | <|body_start_0|>
self.facts = facts_string
self.obj_type_map = obj_type_map
self.domain_name = domain_name
self.problem_name = problem_name
<|end_body_0|>
<|body_start_1|>
ori_obj_name = object_name
if object_name:
object_name = object_name.upper()
... | PddlFactsRepresentation | [
"BSD-3-Clause",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PddlFactsRepresentation:
def __init__(self, facts_string, obj_type_map, domain_name, problem_name):
"""This is the representation of the pddl facts file (not completed yet.) :param facts_string: The facts file content as string. :param obj_type_map: A map, containing all objects with the... | stack_v2_sparse_classes_75kplus_train_004433 | 1,824 | permissive | [
{
"docstring": "This is the representation of the pddl facts file (not completed yet.) :param facts_string: The facts file content as string. :param obj_type_map: A map, containing all objects with their types. :param domain_name: The name of the domain the facts file is for. :param problem_name: The name of th... | 2 | stack_v2_sparse_classes_30k_train_031570 | Implement the Python class `PddlFactsRepresentation` described below.
Class description:
Implement the PddlFactsRepresentation class.
Method signatures and docstrings:
- def __init__(self, facts_string, obj_type_map, domain_name, problem_name): This is the representation of the pddl facts file (not completed yet.) :p... | Implement the Python class `PddlFactsRepresentation` described below.
Class description:
Implement the PddlFactsRepresentation class.
Method signatures and docstrings:
- def __init__(self, facts_string, obj_type_map, domain_name, problem_name): This is the representation of the pddl facts file (not completed yet.) :p... | 9d004c76aa6f54c992a2f3f00b9dd98f9fb4e498 | <|skeleton|>
class PddlFactsRepresentation:
def __init__(self, facts_string, obj_type_map, domain_name, problem_name):
"""This is the representation of the pddl facts file (not completed yet.) :param facts_string: The facts file content as string. :param obj_type_map: A map, containing all objects with the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PddlFactsRepresentation:
def __init__(self, facts_string, obj_type_map, domain_name, problem_name):
"""This is the representation of the pddl facts file (not completed yet.) :param facts_string: The facts file content as string. :param obj_type_map: A map, containing all objects with their types. :par... | the_stack_v2_python_sparse | source/rafcontpp/model/pddl_facts_representation.py | DLR-RM/rafcon-task-planner-plugin | train | 1 | |
b6880a38e4b3c47987ace83bf5be200767f17ec0 | [
"self.name = name\nself.type = type\nself.label = label\nself.desc = desc\nself.default = default",
"para = OrderedDict()\npara[self.TYPE] = self.type\nif self.type:\n para[self.TYPE] = self.type\nif self.desc:\n para[self.DESCRIPTION] = self.desc\nif self.default:\n para[self.DEFAULT] = self.default\nif... | <|body_start_0|>
self.name = name
self.type = type
self.label = label
self.desc = desc
self.default = default
<|end_body_0|>
<|body_start_1|>
para = OrderedDict()
para[self.TYPE] = self.type
if self.type:
para[self.TYPE] = self.type
if... | HOT Parameter Attr | Parameter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Parameter:
"""HOT Parameter Attr"""
def __init__(self, name, type, label=None, desc=None, default=None):
"""Init a HOT parameter"""
<|body_0|>
def get_output_dict(self):
"""Output a parameter as a nested dict"""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_75kplus_train_004434 | 6,215 | no_license | [
{
"docstring": "Init a HOT parameter",
"name": "__init__",
"signature": "def __init__(self, name, type, label=None, desc=None, default=None)"
},
{
"docstring": "Output a parameter as a nested dict",
"name": "get_output_dict",
"signature": "def get_output_dict(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_048234 | Implement the Python class `Parameter` described below.
Class description:
HOT Parameter Attr
Method signatures and docstrings:
- def __init__(self, name, type, label=None, desc=None, default=None): Init a HOT parameter
- def get_output_dict(self): Output a parameter as a nested dict | Implement the Python class `Parameter` described below.
Class description:
HOT Parameter Attr
Method signatures and docstrings:
- def __init__(self, name, type, label=None, desc=None, default=None): Init a HOT parameter
- def get_output_dict(self): Output a parameter as a nested dict
<|skeleton|>
class Parameter:
... | 103d9ffb67e98c6e912a5861b73ad0f06d9df80c | <|skeleton|>
class Parameter:
"""HOT Parameter Attr"""
def __init__(self, name, type, label=None, desc=None, default=None):
"""Init a HOT parameter"""
<|body_0|>
def get_output_dict(self):
"""Output a parameter as a nested dict"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Parameter:
"""HOT Parameter Attr"""
def __init__(self, name, type, label=None, desc=None, default=None):
"""Init a HOT parameter"""
self.name = name
self.type = type
self.label = label
self.desc = desc
self.default = default
def get_output_dict(self):
... | the_stack_v2_python_sparse | sfc-ostack/sfcostack/hot.py | stevelorenz/sfc-ostack | train | 4 |
23b81196b37b607013b6e1852735717c50722f2a | [
"sum_nnz = 0\nsum_total = 0\nfor name, mod in model.named_modules():\n if not isinstance(mod, nn.Conv2d):\n continue\n nnz, total = SparsityCalculator.get_sparsity(mod, threshold=threshold, level=level)\n sum_nnz += nnz\n sum_total += total\nreturn float(sum_nnz) / sum_total",
"assert isinstanc... | <|body_start_0|>
sum_nnz = 0
sum_total = 0
for name, mod in model.named_modules():
if not isinstance(mod, nn.Conv2d):
continue
nnz, total = SparsityCalculator.get_sparsity(mod, threshold=threshold, level=level)
sum_nnz += nnz
sum_to... | SparsityCalculator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SparsityCalculator:
def get_model_sparsity(model, threshold=1e-05, level=None):
"""Compute the total sparsity of a model"""
<|body_0|>
def get_sparsity(mod, threshold=1e-05, level=None):
"""Compute the sparsity of a module."""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_75kplus_train_004435 | 7,819 | permissive | [
{
"docstring": "Compute the total sparsity of a model",
"name": "get_model_sparsity",
"signature": "def get_model_sparsity(model, threshold=1e-05, level=None)"
},
{
"docstring": "Compute the sparsity of a module.",
"name": "get_sparsity",
"signature": "def get_sparsity(mod, threshold=1e-... | 2 | stack_v2_sparse_classes_30k_train_053447 | Implement the Python class `SparsityCalculator` described below.
Class description:
Implement the SparsityCalculator class.
Method signatures and docstrings:
- def get_model_sparsity(model, threshold=1e-05, level=None): Compute the total sparsity of a model
- def get_sparsity(mod, threshold=1e-05, level=None): Comput... | Implement the Python class `SparsityCalculator` described below.
Class description:
Implement the SparsityCalculator class.
Method signatures and docstrings:
- def get_model_sparsity(model, threshold=1e-05, level=None): Compute the total sparsity of a model
- def get_sparsity(mod, threshold=1e-05, level=None): Comput... | f81c417d3754102c902bd153809130e12607bd7d | <|skeleton|>
class SparsityCalculator:
def get_model_sparsity(model, threshold=1e-05, level=None):
"""Compute the total sparsity of a model"""
<|body_0|>
def get_sparsity(mod, threshold=1e-05, level=None):
"""Compute the sparsity of a module."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SparsityCalculator:
def get_model_sparsity(model, threshold=1e-05, level=None):
"""Compute the total sparsity of a model"""
sum_nnz = 0
sum_total = 0
for name, mod in model.named_modules():
if not isinstance(mod, nn.Conv2d):
continue
nnz,... | the_stack_v2_python_sparse | evaluation/iccv19/profiling/profile_sparse_mobilenet.py | kumasento/gconv-prune | train | 10 | |
754b88db1faad91f1e753b5f1d54e74183ec3b24 | [
"left, right = (0, len(nums) - 1)\nwhile left <= right:\n mid = left + (right - left) // 2\n if nums[mid] < target:\n left += 1\n else:\n right = mid - 1\nreturn left",
"left, right = (0, len(nums) - 1)\nwhile left <= right:\n mid = left + (right - left) // 2\n if nums[mid] == target:... | <|body_start_0|>
left, right = (0, len(nums) - 1)
while left <= right:
mid = left + (right - left) // 2
if nums[mid] < target:
left += 1
else:
right = mid - 1
return left
<|end_body_0|>
<|body_start_1|>
left, right = (0... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def searchInsert_v2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
def searchInsert_v3(self, n... | stack_v2_sparse_classes_75kplus_train_004436 | 2,458 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "searchInsert",
"signature": "def searchInsert(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "searchInsert_v2",
"signature": "def searchInsert_v2(self, nu... | 3 | stack_v2_sparse_classes_30k_train_013092 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def searchInsert_v2(self, nums, target): :type nums: List[int] :type target: int :rtyp... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def searchInsert_v2(self, nums, target): :type nums: List[int] :type target: int :rtyp... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def searchInsert_v2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
def searchInsert_v3(self, n... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
left, right = (0, len(nums) - 1)
while left <= right:
mid = left + (right - left) // 2
if nums[mid] < target:
left += 1
else:
... | the_stack_v2_python_sparse | src/lt_35.py | oxhead/CodingYourWay | train | 0 | |
eac81484174d4413508eb46c751fcbbdf228176a | [
"self.dice = Dice()\nself.money = 100\nself.interface = interface\nself.hi_scores = hi_scores\nself.played_once = False",
"while self.money >= 10 and self.interface.wantToPlay():\n self.playRound()\nif self.played_once and self.hi_scores.is_top_ten(self.money):\n self.interface.enter_score(self.money)\nself... | <|body_start_0|>
self.dice = Dice()
self.money = 100
self.interface = interface
self.hi_scores = hi_scores
self.played_once = False
<|end_body_0|>
<|body_start_1|>
while self.money >= 10 and self.interface.wantToPlay():
self.playRound()
if self.played... | Play dice poker | PokerApp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PokerApp:
"""Play dice poker"""
def __init__(self, interface, hi_scores):
"""Initialize dice, money, and interface (could be text or GUI) :param interface: obj -> interface object :param hi_scores: obj -> high scores object"""
<|body_0|>
def run(self):
"""Runs ga... | stack_v2_sparse_classes_75kplus_train_004437 | 1,931 | no_license | [
{
"docstring": "Initialize dice, money, and interface (could be text or GUI) :param interface: obj -> interface object :param hi_scores: obj -> high scores object",
"name": "__init__",
"signature": "def __init__(self, interface, hi_scores)"
},
{
"docstring": "Runs game continuously until quit or... | 4 | stack_v2_sparse_classes_30k_train_052651 | Implement the Python class `PokerApp` described below.
Class description:
Play dice poker
Method signatures and docstrings:
- def __init__(self, interface, hi_scores): Initialize dice, money, and interface (could be text or GUI) :param interface: obj -> interface object :param hi_scores: obj -> high scores object
- d... | Implement the Python class `PokerApp` described below.
Class description:
Play dice poker
Method signatures and docstrings:
- def __init__(self, interface, hi_scores): Initialize dice, money, and interface (could be text or GUI) :param interface: obj -> interface object :param hi_scores: obj -> high scores object
- d... | 6588c0ebfa932fbae7eec11c20270e4a8e969377 | <|skeleton|>
class PokerApp:
"""Play dice poker"""
def __init__(self, interface, hi_scores):
"""Initialize dice, money, and interface (could be text or GUI) :param interface: obj -> interface object :param hi_scores: obj -> high scores object"""
<|body_0|>
def run(self):
"""Runs ga... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PokerApp:
"""Play dice poker"""
def __init__(self, interface, hi_scores):
"""Initialize dice, money, and interface (could be text or GUI) :param interface: obj -> interface object :param hi_scores: obj -> high scores object"""
self.dice = Dice()
self.money = 100
self.inter... | the_stack_v2_python_sparse | Chapter12/U12_Ex01_DicePoker/pokerapp.py | billm79/COOP2018 | train | 3 |
c9a663c85bab3e44f79a3548d2329cc05a1271a0 | [
"filter_parser = reqparse.RequestParser(bundle_errors=True)\nfilter_parser.add_argument('last_pk', type=int, default=0, location='args')\nfilter_parser.add_argument('limit_num', type=int, default=20, location='args')\nfilter_parser_args = filter_parser.parse_args()\ndata = get_inventory_limit_rows_by_last_id(**filt... | <|body_start_0|>
filter_parser = reqparse.RequestParser(bundle_errors=True)
filter_parser.add_argument('last_pk', type=int, default=0, location='args')
filter_parser.add_argument('limit_num', type=int, default=20, location='args')
filter_parser_args = filter_parser.parse_args()
d... | InventoryListResource | InventoryListResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InventoryListResource:
"""InventoryListResource"""
def get(self):
"""Example: curl http://0.0.0.0:5000/bearings/inventories curl http://0.0.0.0:5000/bearings/inventories?last_pk=2&limit_num=2 :return:"""
<|body_0|>
def post(self):
"""Example: curl http://0.0.0.0:... | stack_v2_sparse_classes_75kplus_train_004438 | 5,543 | permissive | [
{
"docstring": "Example: curl http://0.0.0.0:5000/bearings/inventories curl http://0.0.0.0:5000/bearings/inventories?last_pk=2&limit_num=2 :return:",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Example: curl http://0.0.0.0:5000/bearings/inventories -H \"Content-Type: applicati... | 2 | stack_v2_sparse_classes_30k_val_001090 | Implement the Python class `InventoryListResource` described below.
Class description:
InventoryListResource
Method signatures and docstrings:
- def get(self): Example: curl http://0.0.0.0:5000/bearings/inventories curl http://0.0.0.0:5000/bearings/inventories?last_pk=2&limit_num=2 :return:
- def post(self): Example:... | Implement the Python class `InventoryListResource` described below.
Class description:
InventoryListResource
Method signatures and docstrings:
- def get(self): Example: curl http://0.0.0.0:5000/bearings/inventories curl http://0.0.0.0:5000/bearings/inventories?last_pk=2&limit_num=2 :return:
- def post(self): Example:... | 6ef54f3f7efbbaff6169e963dcf45ab25e11e593 | <|skeleton|>
class InventoryListResource:
"""InventoryListResource"""
def get(self):
"""Example: curl http://0.0.0.0:5000/bearings/inventories curl http://0.0.0.0:5000/bearings/inventories?last_pk=2&limit_num=2 :return:"""
<|body_0|>
def post(self):
"""Example: curl http://0.0.0.0:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InventoryListResource:
"""InventoryListResource"""
def get(self):
"""Example: curl http://0.0.0.0:5000/bearings/inventories curl http://0.0.0.0:5000/bearings/inventories?last_pk=2&limit_num=2 :return:"""
filter_parser = reqparse.RequestParser(bundle_errors=True)
filter_parser.add_... | the_stack_v2_python_sparse | web_api/bearings/resources/inventory.py | zhanghe06/flask_restful | train | 2 |
5d9f5c27ef0f9d544442a5badcfeb063303af604 | [
"mins = total_data() / 60\nhours = mins / 60\nnum_sources = len(amounts_recorded_by_device())\naverage_mins = mins / num_sources\naverage_hours = hours / num_sources\nreport = f'{hours:0.1f} hours total across {num_sources} sources - {average_hours:0.1f} hours (or {average_mins:0.0f}) mins per source on average.'\n... | <|body_start_0|>
mins = total_data() / 60
hours = mins / 60
num_sources = len(amounts_recorded_by_device())
average_mins = mins / num_sources
average_hours = hours / num_sources
report = f'{hours:0.1f} hours total across {num_sources} sources - {average_hours:0.1f} hours ... | NoiseActions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NoiseActions:
def report_noise_recorded() -> None:
"""Pop a notification showing the total amount of noise recorded."""
<|body_0|>
def delete_last_noise_recording() -> None:
"""Delete the previous recording session (across all devices)."""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_004439 | 20,408 | permissive | [
{
"docstring": "Pop a notification showing the total amount of noise recorded.",
"name": "report_noise_recorded",
"signature": "def report_noise_recorded() -> None"
},
{
"docstring": "Delete the previous recording session (across all devices).",
"name": "delete_last_noise_recording",
"si... | 2 | stack_v2_sparse_classes_30k_train_022202 | Implement the Python class `NoiseActions` described below.
Class description:
Implement the NoiseActions class.
Method signatures and docstrings:
- def report_noise_recorded() -> None: Pop a notification showing the total amount of noise recorded.
- def delete_last_noise_recording() -> None: Delete the previous recor... | Implement the Python class `NoiseActions` described below.
Class description:
Implement the NoiseActions class.
Method signatures and docstrings:
- def report_noise_recorded() -> None: Pop a notification showing the total amount of noise recorded.
- def delete_last_noise_recording() -> None: Delete the previous recor... | b5c1ec10207a66a04226abe865d694e3786dc30d | <|skeleton|>
class NoiseActions:
def report_noise_recorded() -> None:
"""Pop a notification showing the total amount of noise recorded."""
<|body_0|>
def delete_last_noise_recording() -> None:
"""Delete the previous recording session (across all devices)."""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NoiseActions:
def report_noise_recorded() -> None:
"""Pop a notification showing the total amount of noise recorded."""
mins = total_data() / 60
hours = mins / 60
num_sources = len(amounts_recorded_by_device())
average_mins = mins / num_sources
average_hours = h... | the_stack_v2_python_sparse | plugins/noise_recorder/noise_recorder.py | jcaw/talon_config | train | 12 | |
f92a88048a86e2361562e7306f88b32e983ab158 | [
"if nums == []:\n return False\ntemp_count_0 = nums[-1]\ntemp_count_1 = min(nums)\nfor i in nums[:-1][::-1]:\n if i < temp_count_0:\n temp_count_1 = max(temp_count_1, i)\n if i > temp_count_0:\n temp_count_0 = i\n if i < temp_count_1:\n return True\nreturn False",
"import sys\nif ... | <|body_start_0|>
if nums == []:
return False
temp_count_0 = nums[-1]
temp_count_1 = min(nums)
for i in nums[:-1][::-1]:
if i < temp_count_0:
temp_count_1 = max(temp_count_1, i)
if i > temp_count_0:
temp_count_0 = i
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def increasingTriplet(self, nums):
""":type nums: List[int] :rtype: bool 42ms"""
<|body_0|>
def increasingTriplet_1(self, nums):
""":type nums: List[int] :rtype: bool 35ms"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if nums == []:
... | stack_v2_sparse_classes_75kplus_train_004440 | 1,462 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: bool 42ms",
"name": "increasingTriplet",
"signature": "def increasingTriplet(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: bool 35ms",
"name": "increasingTriplet_1",
"signature": "def increasingTriplet_1(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008048 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def increasingTriplet(self, nums): :type nums: List[int] :rtype: bool 42ms
- def increasingTriplet_1(self, nums): :type nums: List[int] :rtype: bool 35ms | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def increasingTriplet(self, nums): :type nums: List[int] :rtype: bool 42ms
- def increasingTriplet_1(self, nums): :type nums: List[int] :rtype: bool 35ms
<|skeleton|>
class Solu... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def increasingTriplet(self, nums):
""":type nums: List[int] :rtype: bool 42ms"""
<|body_0|>
def increasingTriplet_1(self, nums):
""":type nums: List[int] :rtype: bool 35ms"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def increasingTriplet(self, nums):
""":type nums: List[int] :rtype: bool 42ms"""
if nums == []:
return False
temp_count_0 = nums[-1]
temp_count_1 = min(nums)
for i in nums[:-1][::-1]:
if i < temp_count_0:
temp_count_1 = ... | the_stack_v2_python_sparse | IncreasingTripletSubsequence_MID_334.py | 953250587/leetcode-python | train | 2 | |
6b44378f47e655cdd2e2de840859fccd852eb3df | [
"self._config = None\nif data_type:\n self._config = SimilarityScorerConfig(index_name, data_type)\nsuper().__init__(index_name, sketch_id, timeline_id=timeline_id)",
"if not self._config:\n return 'No data_type specified.'\nevents = self.event_stream(query_string=self._config.query, return_fields=[self._co... | <|body_start_0|>
self._config = None
if data_type:
self._config = SimilarityScorerConfig(index_name, data_type)
super().__init__(index_name, sketch_id, timeline_id=timeline_id)
<|end_body_0|>
<|body_start_1|>
if not self._config:
return 'No data_type specified.'
... | Score events based on Jaccard distance. | SimilarityScorer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimilarityScorer:
"""Score events based on Jaccard distance."""
def __init__(self, index_name, sketch_id, timeline_id=None, data_type=None):
"""Initializes a similarity scorer. Args: index_name: OpenSearch index name. sketch_id: The ID of the sketch. timeline_id: The ID of the timeli... | stack_v2_sparse_classes_75kplus_train_004441 | 5,064 | permissive | [
{
"docstring": "Initializes a similarity scorer. Args: index_name: OpenSearch index name. sketch_id: The ID of the sketch. timeline_id: The ID of the timeline. data_type: Name of the data_type.",
"name": "__init__",
"signature": "def __init__(self, index_name, sketch_id, timeline_id=None, data_type=None... | 2 | stack_v2_sparse_classes_30k_train_018179 | Implement the Python class `SimilarityScorer` described below.
Class description:
Score events based on Jaccard distance.
Method signatures and docstrings:
- def __init__(self, index_name, sketch_id, timeline_id=None, data_type=None): Initializes a similarity scorer. Args: index_name: OpenSearch index name. sketch_id... | Implement the Python class `SimilarityScorer` described below.
Class description:
Score events based on Jaccard distance.
Method signatures and docstrings:
- def __init__(self, index_name, sketch_id, timeline_id=None, data_type=None): Initializes a similarity scorer. Args: index_name: OpenSearch index name. sketch_id... | 24f471b58ca4a87cb053961b5f05c07a544ca7b8 | <|skeleton|>
class SimilarityScorer:
"""Score events based on Jaccard distance."""
def __init__(self, index_name, sketch_id, timeline_id=None, data_type=None):
"""Initializes a similarity scorer. Args: index_name: OpenSearch index name. sketch_id: The ID of the sketch. timeline_id: The ID of the timeli... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimilarityScorer:
"""Score events based on Jaccard distance."""
def __init__(self, index_name, sketch_id, timeline_id=None, data_type=None):
"""Initializes a similarity scorer. Args: index_name: OpenSearch index name. sketch_id: The ID of the sketch. timeline_id: The ID of the timeline. data_type... | the_stack_v2_python_sparse | timesketch/lib/analyzers/similarity_scorer.py | google/timesketch | train | 2,263 |
12c83a88cd59c8e8470f7c0f785c369cbe4cffbe | [
"Message.__init__(self, text)\nself.message_text = text\nself.valid_words = Message.get_valid_words(self)",
"mins = 0\nmaxs = 26\nshift_tracker = 0\nmax_word = 0\npossible_shift = range(mins, maxs + 1)\nfor shift_guess in possible_shift:\n word_len = 0\n decrypt_guess = Message.apply_shift(self, shift_guess... | <|body_start_0|>
Message.__init__(self, text)
self.message_text = text
self.valid_words = Message.get_valid_words(self)
<|end_body_0|>
<|body_start_1|>
mins = 0
maxs = 26
shift_tracker = 0
max_word = 0
possible_shift = range(mins, maxs + 1)
for sh... | CiphertextMessage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CiphertextMessage:
def __init__(self, text):
"""Initializes a CiphertextMessage object text (string): the message's text a CiphertextMessage object has two attributes: self.message_text (string, determined by input text) self.valid_words (list, determined using helper function load_words... | stack_v2_sparse_classes_75kplus_train_004442 | 10,981 | no_license | [
{
"docstring": "Initializes a CiphertextMessage object text (string): the message's text a CiphertextMessage object has two attributes: self.message_text (string, determined by input text) self.valid_words (list, determined using helper function load_words)",
"name": "__init__",
"signature": "def __init... | 2 | stack_v2_sparse_classes_30k_train_017258 | Implement the Python class `CiphertextMessage` described below.
Class description:
Implement the CiphertextMessage class.
Method signatures and docstrings:
- def __init__(self, text): Initializes a CiphertextMessage object text (string): the message's text a CiphertextMessage object has two attributes: self.message_t... | Implement the Python class `CiphertextMessage` described below.
Class description:
Implement the CiphertextMessage class.
Method signatures and docstrings:
- def __init__(self, text): Initializes a CiphertextMessage object text (string): the message's text a CiphertextMessage object has two attributes: self.message_t... | 76605aa26fbf2c80ca7cf59307904021a403a787 | <|skeleton|>
class CiphertextMessage:
def __init__(self, text):
"""Initializes a CiphertextMessage object text (string): the message's text a CiphertextMessage object has two attributes: self.message_text (string, determined by input text) self.valid_words (list, determined using helper function load_words... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CiphertextMessage:
def __init__(self, text):
"""Initializes a CiphertextMessage object text (string): the message's text a CiphertextMessage object has two attributes: self.message_text (string, determined by input text) self.valid_words (list, determined using helper function load_words)"""
M... | the_stack_v2_python_sparse | week5/ProblemSet5/ps6.py | EnthusiasticTeslim/MIT6.00.1x | train | 0 | |
42e73af0a8a0595994a59e3400f84348ec0959e1 | [
"try:\n encounter: models.Encounter = models.Encounter.create_from_json(data=request.data, patient_profile=request.user.patient_profile)\nexcept custom_exceptions.DataForNewEncounterNotProvidedException as e:\n return response.Response(data=e.get_response_format(), status=status.HTTP_400_BAD_REQUEST)\nseriali... | <|body_start_0|>
try:
encounter: models.Encounter = models.Encounter.create_from_json(data=request.data, patient_profile=request.user.patient_profile)
except custom_exceptions.DataForNewEncounterNotProvidedException as e:
return response.Response(data=e.get_response_format(), sta... | Endpoints for Encounter objects. | EncountersEndpoint | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncountersEndpoint:
"""Endpoints for Encounter objects."""
def post(self, request: Request) -> response.Response:
"""Adds a new encounter for the user."""
<|body_0|>
def put(self, request: Request) -> response.Response:
"""Updates an existing encounter."""
... | stack_v2_sparse_classes_75kplus_train_004443 | 14,860 | no_license | [
{
"docstring": "Adds a new encounter for the user.",
"name": "post",
"signature": "def post(self, request: Request) -> response.Response"
},
{
"docstring": "Updates an existing encounter.",
"name": "put",
"signature": "def put(self, request: Request) -> response.Response"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_019092 | Implement the Python class `EncountersEndpoint` described below.
Class description:
Endpoints for Encounter objects.
Method signatures and docstrings:
- def post(self, request: Request) -> response.Response: Adds a new encounter for the user.
- def put(self, request: Request) -> response.Response: Updates an existing... | Implement the Python class `EncountersEndpoint` described below.
Class description:
Endpoints for Encounter objects.
Method signatures and docstrings:
- def post(self, request: Request) -> response.Response: Adds a new encounter for the user.
- def put(self, request: Request) -> response.Response: Updates an existing... | b6d757895132b9b3c8c6682c11efadf993d5905b | <|skeleton|>
class EncountersEndpoint:
"""Endpoints for Encounter objects."""
def post(self, request: Request) -> response.Response:
"""Adds a new encounter for the user."""
<|body_0|>
def put(self, request: Request) -> response.Response:
"""Updates an existing encounter."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncountersEndpoint:
"""Endpoints for Encounter objects."""
def post(self, request: Request) -> response.Response:
"""Adds a new encounter for the user."""
try:
encounter: models.Encounter = models.Encounter.create_from_json(data=request.data, patient_profile=request.user.patie... | the_stack_v2_python_sparse | main/model_api.py | kalolad1/cosmos | train | 0 |
20537586c6018a6cec0a153a8e5597f63eff6a9a | [
"result = {}\nargs = PROPERTY_PUT_PARSER.parse_args()\ncurrent_app.logger.info(args)\nsection = args.get(self.section).upper()\nmodules = section.split('.')\nsubmodule = None\nif len(modules) > 1:\n submodule = modules[1]\nconfigurators = CPI_INSTANCE.get_configurators(modules[0], submodule)\nif len(configurator... | <|body_start_0|>
result = {}
args = PROPERTY_PUT_PARSER.parse_args()
current_app.logger.info(args)
section = args.get(self.section).upper()
modules = section.split('.')
submodule = None
if len(modules) > 1:
submodule = modules[1]
configurators ... | restful api for configurator, in order to provide the method of put and get | Configurator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Configurator:
"""restful api for configurator, in order to provide the method of put and get"""
def put(self):
"""calling cpi set method to set the value of the given key :param section: The section of the cpi :param key: the key to be set :param value: the value of the given key :re... | stack_v2_sparse_classes_75kplus_train_004444 | 5,109 | no_license | [
{
"docstring": "calling cpi set method to set the value of the given key :param section: The section of the cpi :param key: the key to be set :param value: the value of the given key :returns status: the status return by the cpi set method :returns value: the message return by the cpi set method",
"name": "... | 3 | stack_v2_sparse_classes_30k_train_020987 | Implement the Python class `Configurator` described below.
Class description:
restful api for configurator, in order to provide the method of put and get
Method signatures and docstrings:
- def put(self): calling cpi set method to set the value of the given key :param section: The section of the cpi :param key: the k... | Implement the Python class `Configurator` described below.
Class description:
restful api for configurator, in order to provide the method of put and get
Method signatures and docstrings:
- def put(self): calling cpi set method to set the value of the given key :param section: The section of the cpi :param key: the k... | 12c0ade407a991f7d11b854d4f587b1764bbc4f5 | <|skeleton|>
class Configurator:
"""restful api for configurator, in order to provide the method of put and get"""
def put(self):
"""calling cpi set method to set the value of the given key :param section: The section of the cpi :param key: the key to be set :param value: the value of the given key :re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Configurator:
"""restful api for configurator, in order to provide the method of put and get"""
def put(self):
"""calling cpi set method to set the value of the given key :param section: The section of the cpi :param key: the key to be set :param value: the value of the given key :returns status:... | the_stack_v2_python_sparse | analysis/atuned/configurator.py | openeuler-mirror/A-Tune | train | 18 |
92c3f123aa79d81f22cbc44f0b9f32226c50d24a | [
"super().__init__()\nself._set_data_loc()\nself.interconnect = check_and_format_interconnect(interconnect)\nself._build_network()",
"top_dirname = os.path.dirname(__file__)\ndata_loc = os.path.join(top_dirname, 'data')\nif os.path.isdir(data_loc) is False:\n raise IOError('%s directory not found' % data_loc)\n... | <|body_start_0|>
super().__init__()
self._set_data_loc()
self.interconnect = check_and_format_interconnect(interconnect)
self._build_network()
<|end_body_0|>
<|body_start_1|>
top_dirname = os.path.dirname(__file__)
data_loc = os.path.join(top_dirname, 'data')
if ... | TAMU network. :param str/list interconnect: interconnect name(s). | TAMU | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TAMU:
"""TAMU network. :param str/list interconnect: interconnect name(s)."""
def __init__(self, interconnect):
"""Constructor."""
<|body_0|>
def _set_data_loc(self):
"""Sets data location. :raises IOError: if directory does not exist."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_004445 | 4,188 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, interconnect)"
},
{
"docstring": "Sets data location. :raises IOError: if directory does not exist.",
"name": "_set_data_loc",
"signature": "def _set_data_loc(self)"
},
{
"docstring": "Build netwo... | 4 | stack_v2_sparse_classes_30k_train_044380 | Implement the Python class `TAMU` described below.
Class description:
TAMU network. :param str/list interconnect: interconnect name(s).
Method signatures and docstrings:
- def __init__(self, interconnect): Constructor.
- def _set_data_loc(self): Sets data location. :raises IOError: if directory does not exist.
- def ... | Implement the Python class `TAMU` described below.
Class description:
TAMU network. :param str/list interconnect: interconnect name(s).
Method signatures and docstrings:
- def __init__(self, interconnect): Constructor.
- def _set_data_loc(self): Sets data location. :raises IOError: if directory does not exist.
- def ... | 2fa9fb907fd55a96ffd3d584614b47af79a0bda8 | <|skeleton|>
class TAMU:
"""TAMU network. :param str/list interconnect: interconnect name(s)."""
def __init__(self, interconnect):
"""Constructor."""
<|body_0|>
def _set_data_loc(self):
"""Sets data location. :raises IOError: if directory does not exist."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TAMU:
"""TAMU network. :param str/list interconnect: interconnect name(s)."""
def __init__(self, interconnect):
"""Constructor."""
super().__init__()
self._set_data_loc()
self.interconnect = check_and_format_interconnect(interconnect)
self._build_network()
def... | the_stack_v2_python_sparse | powersimdata/network/usa_tamu/model.py | abhinavgairola/PowerSimData | train | 0 |
5503910e27f95c1467b63509bf58b58756f84fd0 | [
"super().__init__(keys=keys, grad=grad, output_size=output_size, adjust_size=adjust_size, interpolation_mode=interpolation_mode, padding_mode=padding_mode, align_corners=align_corners, reverse_order=reverse_order, per_sample=per_sample, **kwargs)\nself.register_sampler('scale', scale)\nself.register_sampler('rotati... | <|body_start_0|>
super().__init__(keys=keys, grad=grad, output_size=output_size, adjust_size=adjust_size, interpolation_mode=interpolation_mode, padding_mode=padding_mode, align_corners=align_corners, reverse_order=reverse_order, per_sample=per_sample, **kwargs)
self.register_sampler('scale', scale)
... | Class performing a basic Affine Transformation on a given sample dict. The transformation will be applied to all the dict-entries specified in :attr:`keys`. | BaseAffine | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseAffine:
"""Class performing a basic Affine Transformation on a given sample dict. The transformation will be applied to all the dict-entries specified in :attr:`keys`."""
def __init__(self, scale: Optional[AffineParamType]=None, rotation: Optional[AffineParamType]=None, translation: Opti... | stack_v2_sparse_classes_75kplus_train_004446 | 32,610 | permissive | [
{
"docstring": "Args: scale: the scale factor(s). Supported are: * a single parameter (as float or int), which will be replicated for all dimensions and batch samples * a parameter per dimension, which will be replicated for all batch samples * None will be treated as a scaling factor of 1 rotation: the rotatio... | 3 | stack_v2_sparse_classes_30k_train_036776 | Implement the Python class `BaseAffine` described below.
Class description:
Class performing a basic Affine Transformation on a given sample dict. The transformation will be applied to all the dict-entries specified in :attr:`keys`.
Method signatures and docstrings:
- def __init__(self, scale: Optional[AffineParamTyp... | Implement the Python class `BaseAffine` described below.
Class description:
Class performing a basic Affine Transformation on a given sample dict. The transformation will be applied to all the dict-entries specified in :attr:`keys`.
Method signatures and docstrings:
- def __init__(self, scale: Optional[AffineParamTyp... | ab6fbcfe7215c2a5b8e401b70909f6a32d0d167b | <|skeleton|>
class BaseAffine:
"""Class performing a basic Affine Transformation on a given sample dict. The transformation will be applied to all the dict-entries specified in :attr:`keys`."""
def __init__(self, scale: Optional[AffineParamType]=None, rotation: Optional[AffineParamType]=None, translation: Opti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseAffine:
"""Class performing a basic Affine Transformation on a given sample dict. The transformation will be applied to all the dict-entries specified in :attr:`keys`."""
def __init__(self, scale: Optional[AffineParamType]=None, rotation: Optional[AffineParamType]=None, translation: Optional[AffinePa... | the_stack_v2_python_sparse | rising/transforms/affine.py | PhoenixDL/rising | train | 318 |
09a14e54f163fa58acb6911b81fb11fccad20ff7 | [
"if str(x) == str(x)[::-1]:\n return True\nelse:\n return False",
"if x < 0 or (x % 10 == 0 and x != 0):\n return False\ni = 0\nwhile x > i:\n i = i * 10 + x % 10\n x /= 10\nreturn x == i or x == i / 10"
] | <|body_start_0|>
if str(x) == str(x)[::-1]:
return True
else:
return False
<|end_body_0|>
<|body_start_1|>
if x < 0 or (x % 10 == 0 and x != 0):
return False
i = 0
while x > i:
i = i * 10 + x % 10
x /= 10
return... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindromes(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if str(x) == str(x)[::-1]:
return True
else:... | stack_v2_sparse_classes_75kplus_train_004447 | 744 | no_license | [
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x)"
},
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindromes",
"signature": "def isPalindromes(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_val_002438 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindromes(self, x): :type x: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindromes(self, x): :type x: int :rtype: bool
<|skeleton|>
class Solution:
def isPalindrome(self, x):
... | 069bb0b751ef7f469036b9897436eb5d138ffa24 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindromes(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
if str(x) == str(x)[::-1]:
return True
else:
return False
def isPalindromes(self, x):
""":type x: int :rtype: bool"""
if x < 0 or (x % 10 == 0 and x != 0):
retu... | the_stack_v2_python_sparse | 算法/4、回文数.py | RichieSong/algorithm | train | 0 | |
eb61a572d5d41d547d9f89df1da2564d6dd7aedb | [
"datetime_no_ms = dateparser.parse(self.DATE_NO_MS)\nassert f'{self.DATE_NO_MS[:-1]}.000000Z' == convert_datetime_to_iso_str(datetime_no_ms)\ndatetime_with_ms = dateparser.parse(self.DATE_WITH_MS)\nassert self.DATE_WITH_MS == convert_datetime_to_iso_str(datetime_with_ms)",
"incident = message_to_incident(self.MOC... | <|body_start_0|>
datetime_no_ms = dateparser.parse(self.DATE_NO_MS)
assert f'{self.DATE_NO_MS[:-1]}.000000Z' == convert_datetime_to_iso_str(datetime_no_ms)
datetime_with_ms = dateparser.parse(self.DATE_WITH_MS)
assert self.DATE_WITH_MS == convert_datetime_to_iso_str(datetime_with_ms)
<|e... | TestHelperFunctions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestHelperFunctions:
def test_convert_datetime_to_iso_str(self):
"""Given: - date with ms - date without ms When: - we want the publish_time in str Then: - convert_datetime_to_iso_str should convert the dates to the same string"""
<|body_0|>
def test_message_to_incident(self... | stack_v2_sparse_classes_75kplus_train_004448 | 29,040 | permissive | [
{
"docstring": "Given: - date with ms - date without ms When: - we want the publish_time in str Then: - convert_datetime_to_iso_str should convert the dates to the same string",
"name": "test_convert_datetime_to_iso_str",
"signature": "def test_convert_datetime_to_iso_str(self)"
},
{
"docstring"... | 2 | stack_v2_sparse_classes_30k_train_014986 | Implement the Python class `TestHelperFunctions` described below.
Class description:
Implement the TestHelperFunctions class.
Method signatures and docstrings:
- def test_convert_datetime_to_iso_str(self): Given: - date with ms - date without ms When: - we want the publish_time in str Then: - convert_datetime_to_iso_... | Implement the Python class `TestHelperFunctions` described below.
Class description:
Implement the TestHelperFunctions class.
Method signatures and docstrings:
- def test_convert_datetime_to_iso_str(self): Given: - date with ms - date without ms When: - we want the publish_time in str Then: - convert_datetime_to_iso_... | 890def5a0e0ae8d6eaa538148249ddbc851dbb6b | <|skeleton|>
class TestHelperFunctions:
def test_convert_datetime_to_iso_str(self):
"""Given: - date with ms - date without ms When: - we want the publish_time in str Then: - convert_datetime_to_iso_str should convert the dates to the same string"""
<|body_0|>
def test_message_to_incident(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestHelperFunctions:
def test_convert_datetime_to_iso_str(self):
"""Given: - date with ms - date without ms When: - we want the publish_time in str Then: - convert_datetime_to_iso_str should convert the dates to the same string"""
datetime_no_ms = dateparser.parse(self.DATE_NO_MS)
asse... | the_stack_v2_python_sparse | Packs/GooglePubSub/Integrations/GooglePubSub/GooglePubSub_test.py | demisto/content | train | 1,023 | |
e8e47fe37aa29ea307ff5dd4d9c47611792268c6 | [
"if debug.DrawOutlines and hasattr(self, 'shape'):\n for line in self.shape.lines:\n surface.draw_aaline((0, 0, 0), line.p, line.q)\nelse:\n surface.blit(self)",
"if isinstance(image, pygame.Surface):\n self.image = image\nelse:\n self.image = pygame.image.load(image)\nBlitables.append(self)\ns... | <|body_start_0|>
if debug.DrawOutlines and hasattr(self, 'shape'):
for line in self.shape.lines:
surface.draw_aaline((0, 0, 0), line.p, line.q)
else:
surface.blit(self)
<|end_body_0|>
<|body_start_1|>
if isinstance(image, pygame.Surface):
self... | Blitables are objects with an image. | Blitable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Blitable:
"""Blitables are objects with an image."""
def draw(self, surface):
"""Blits the blitable to the specified surface."""
<|body_0|>
def __init__(self, image, **kwargs):
"""Instanciate a blitable with an image (required, can be str or pygame Surface)."""
... | stack_v2_sparse_classes_75kplus_train_004449 | 8,105 | no_license | [
{
"docstring": "Blits the blitable to the specified surface.",
"name": "draw",
"signature": "def draw(self, surface)"
},
{
"docstring": "Instanciate a blitable with an image (required, can be str or pygame Surface).",
"name": "__init__",
"signature": "def __init__(self, image, **kwargs)"... | 2 | stack_v2_sparse_classes_30k_val_002211 | Implement the Python class `Blitable` described below.
Class description:
Blitables are objects with an image.
Method signatures and docstrings:
- def draw(self, surface): Blits the blitable to the specified surface.
- def __init__(self, image, **kwargs): Instanciate a blitable with an image (required, can be str or ... | Implement the Python class `Blitable` described below.
Class description:
Blitables are objects with an image.
Method signatures and docstrings:
- def draw(self, surface): Blits the blitable to the specified surface.
- def __init__(self, image, **kwargs): Instanciate a blitable with an image (required, can be str or ... | 48ccd228f68f6cdc929c0fbaa57fac2ec35b7c88 | <|skeleton|>
class Blitable:
"""Blitables are objects with an image."""
def draw(self, surface):
"""Blits the blitable to the specified surface."""
<|body_0|>
def __init__(self, image, **kwargs):
"""Instanciate a blitable with an image (required, can be str or pygame Surface)."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Blitable:
"""Blitables are objects with an image."""
def draw(self, surface):
"""Blits the blitable to the specified surface."""
if debug.DrawOutlines and hasattr(self, 'shape'):
for line in self.shape.lines:
surface.draw_aaline((0, 0, 0), line.p, line.q)
... | the_stack_v2_python_sparse | src/entity.py | Darthfett/A-Priori-Physics-System | train | 0 |
c07a401830d632ef7bafa71e103416f0a42c3819 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UnifiedRoleManagementPolicy()",
"from .entity import Entity\nfrom .identity import Identity\nfrom .unified_role_management_policy_rule import UnifiedRoleManagementPolicyRule\nfrom .entity import Entity\nfrom .identity import Identity\n... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UnifiedRoleManagementPolicy()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .identity import Identity
from .unified_role_management_policy_rule import UnifiedRo... | UnifiedRoleManagementPolicy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnifiedRoleManagementPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicy:
"""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 a... | stack_v2_sparse_classes_75kplus_train_004450 | 5,220 | 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: UnifiedRoleManagementPolicy",
"name": "create_from_discriminator_value",
"signature": "def create_from_discr... | 3 | stack_v2_sparse_classes_30k_train_050513 | Implement the Python class `UnifiedRoleManagementPolicy` described below.
Class description:
Implement the UnifiedRoleManagementPolicy class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicy: Creates a new instance of the appr... | Implement the Python class `UnifiedRoleManagementPolicy` described below.
Class description:
Implement the UnifiedRoleManagementPolicy class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicy: Creates a new instance of the appr... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UnifiedRoleManagementPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicy:
"""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 a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnifiedRoleManagementPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicy:
"""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 ... | the_stack_v2_python_sparse | msgraph/generated/models/unified_role_management_policy.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
bee011f41b39500698f577c9c2057a317c5f5c45 | [
"if job == 'sheet':\n login_url = self.sheet_url + '/login'\nelse:\n login_url = self.trade_url + '/login'\nlogin_data = {'userName': 'admin', 'password': '123456'}\nlogin_response = requests.post(url=login_url, data=login_data, headers=self.headers)\nresp_code = json.loads(login_response.content)['code']\nif... | <|body_start_0|>
if job == 'sheet':
login_url = self.sheet_url + '/login'
else:
login_url = self.trade_url + '/login'
login_data = {'userName': 'admin', 'password': '123456'}
login_response = requests.post(url=login_url, data=login_data, headers=self.headers)
... | sheet 19 批量定时监控 18 每日红包平台充值优惠券差错对账 17 用户登录统计 12 随机立减数据统计 11 线下清算扣款费用通知回调trade 9 每日订单对账执行器 8 线下扣款清算文件生成 7 联机扣款数据统计 6 线下扣款清算结果文件读取 5 黑名单推送trade 4 未支付订单统计 3 优惠券活动数据统计 2 支付及退款数据统计 1 运营数据统计` trade 20 应用监控数据更新 15 重试清除超时未取消接送机订单 14 退款定时任务 13 查询订单支付状态 12 交易端-强制扣款 11 删除失败及执行成功的任务 10 红包平台优惠券下发 9 下发优惠券 8 查询进行中的活动 6 接送机超时取消 3 网约车-... | XXLJob | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XXLJob:
"""sheet 19 批量定时监控 18 每日红包平台充值优惠券差错对账 17 用户登录统计 12 随机立减数据统计 11 线下清算扣款费用通知回调trade 9 每日订单对账执行器 8 线下扣款清算文件生成 7 联机扣款数据统计 6 线下扣款清算结果文件读取 5 黑名单推送trade 4 未支付订单统计 3 优惠券活动数据统计 2 支付及退款数据统计 1 运营数据统计` trade 20 应用监控数据更新 15 重试清除超时未取消接送机订单 14 退款定时任务 13 查询订单支付状态 12 交易端-强制扣款 11 删除失败及执行成功的任务 10 红包平台优惠券下发 9... | stack_v2_sparse_classes_75kplus_train_004451 | 4,045 | permissive | [
{
"docstring": "调度平台登录 :param job: :return:",
"name": "login",
"signature": "def login(self, job)"
},
{
"docstring": "修改执行器 :param sheet_ip: :param trade_ip: :param sheet_job: :return:",
"name": "edit_config",
"signature": "def edit_config(self, sheet_ip='192.168.0.48:9003', trade_ip='19... | 3 | stack_v2_sparse_classes_30k_train_000872 | Implement the Python class `XXLJob` described below.
Class description:
sheet 19 批量定时监控 18 每日红包平台充值优惠券差错对账 17 用户登录统计 12 随机立减数据统计 11 线下清算扣款费用通知回调trade 9 每日订单对账执行器 8 线下扣款清算文件生成 7 联机扣款数据统计 6 线下扣款清算结果文件读取 5 黑名单推送trade 4 未支付订单统计 3 优惠券活动数据统计 2 支付及退款数据统计 1 运营数据统计` trade 20 应用监控数据更新 15 重试清除超时未取消接送机订单 14 退款定时任务 13 查询订单支付状态 12 ... | Implement the Python class `XXLJob` described below.
Class description:
sheet 19 批量定时监控 18 每日红包平台充值优惠券差错对账 17 用户登录统计 12 随机立减数据统计 11 线下清算扣款费用通知回调trade 9 每日订单对账执行器 8 线下扣款清算文件生成 7 联机扣款数据统计 6 线下扣款清算结果文件读取 5 黑名单推送trade 4 未支付订单统计 3 优惠券活动数据统计 2 支付及退款数据统计 1 运营数据统计` trade 20 应用监控数据更新 15 重试清除超时未取消接送机订单 14 退款定时任务 13 查询订单支付状态 12 ... | 7e91570fccafa69881be09a1eccb6dfa15ed9039 | <|skeleton|>
class XXLJob:
"""sheet 19 批量定时监控 18 每日红包平台充值优惠券差错对账 17 用户登录统计 12 随机立减数据统计 11 线下清算扣款费用通知回调trade 9 每日订单对账执行器 8 线下扣款清算文件生成 7 联机扣款数据统计 6 线下扣款清算结果文件读取 5 黑名单推送trade 4 未支付订单统计 3 优惠券活动数据统计 2 支付及退款数据统计 1 运营数据统计` trade 20 应用监控数据更新 15 重试清除超时未取消接送机订单 14 退款定时任务 13 查询订单支付状态 12 交易端-强制扣款 11 删除失败及执行成功的任务 10 红包平台优惠券下发 9... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class XXLJob:
"""sheet 19 批量定时监控 18 每日红包平台充值优惠券差错对账 17 用户登录统计 12 随机立减数据统计 11 线下清算扣款费用通知回调trade 9 每日订单对账执行器 8 线下扣款清算文件生成 7 联机扣款数据统计 6 线下扣款清算结果文件读取 5 黑名单推送trade 4 未支付订单统计 3 优惠券活动数据统计 2 支付及退款数据统计 1 运营数据统计` trade 20 应用监控数据更新 15 重试清除超时未取消接送机订单 14 退款定时任务 13 查询订单支付状态 12 交易端-强制扣款 11 删除失败及执行成功的任务 10 红包平台优惠券下发 9 下发优惠券 8 查询进行... | the_stack_v2_python_sparse | httpTest/ApiManager/utils/XXL_job.py | dufuhaoo/httptest | train | 0 |
49f2e174fbf2637c804b32be6ad184a0cbf75946 | [
"self.population = None\nself.this_chain = None\nself.other_chains = None\nreturn super().__init__(vars, shared, blocked)",
"self.population = population\nself.this_chain = chain_index\nself.other_chains = [c for c in range(len(population)) if c != chain_index]\nif not len(self.other_chains) > 1:\n raise Value... | <|body_start_0|>
self.population = None
self.this_chain = None
self.other_chains = None
return super().__init__(vars, shared, blocked)
<|end_body_0|>
<|body_start_1|>
self.population = population
self.this_chain = chain_index
self.other_chains = [c for c in range... | Version of ArrayStepShared that allows samplers to access the states of other chains in the population. Works by linking a list of Points that is updated as the chains are iterated. | PopulationArrayStepShared | [
"Apache-2.0",
"AFL-2.1",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PopulationArrayStepShared:
"""Version of ArrayStepShared that allows samplers to access the states of other chains in the population. Works by linking a list of Points that is updated as the chains are iterated."""
def __init__(self, vars, shared, blocked=True):
"""Parameters -------... | stack_v2_sparse_classes_75kplus_train_004452 | 7,034 | permissive | [
{
"docstring": "Parameters ---------- vars: list of sampling value variables shared: dict of PyTensor variable -> shared variable blocked: Boolean (default True)",
"name": "__init__",
"signature": "def __init__(self, vars, shared, blocked=True)"
},
{
"docstring": "Links the sampler to the popula... | 2 | stack_v2_sparse_classes_30k_train_023624 | Implement the Python class `PopulationArrayStepShared` described below.
Class description:
Version of ArrayStepShared that allows samplers to access the states of other chains in the population. Works by linking a list of Points that is updated as the chains are iterated.
Method signatures and docstrings:
- def __ini... | Implement the Python class `PopulationArrayStepShared` described below.
Class description:
Version of ArrayStepShared that allows samplers to access the states of other chains in the population. Works by linking a list of Points that is updated as the chains are iterated.
Method signatures and docstrings:
- def __ini... | ddd1d4bf05a72895c67265f541585ae02bd338a3 | <|skeleton|>
class PopulationArrayStepShared:
"""Version of ArrayStepShared that allows samplers to access the states of other chains in the population. Works by linking a list of Points that is updated as the chains are iterated."""
def __init__(self, vars, shared, blocked=True):
"""Parameters -------... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PopulationArrayStepShared:
"""Version of ArrayStepShared that allows samplers to access the states of other chains in the population. Works by linking a list of Points that is updated as the chains are iterated."""
def __init__(self, vars, shared, blocked=True):
"""Parameters ---------- vars: lis... | the_stack_v2_python_sparse | pymc/step_methods/arraystep.py | pymc-devs/pymc | train | 1,046 |
f5a1bf7403a1b01e4b5e7f8b1a6d0700442e1fed | [
"self._autojoin = autojoin_\nself._path = path\ntry:\n self._party = zk.Party(path, id_)\nexcept (ConnectionLoss, SessionExpiredError):\n raise ZkNoConnection from None\nself.autojoin()",
"try:\n self._party.join()\nexcept (ConnectionLoss, SessionExpiredError):\n raise ZkNoConnection from None",
"if... | <|body_start_0|>
self._autojoin = autojoin_
self._path = path
try:
self._party = zk.Party(path, id_)
except (ConnectionLoss, SessionExpiredError):
raise ZkNoConnection from None
self.autojoin()
<|end_body_0|>
<|body_start_1|>
try:
self... | A wrapper for a `Kazoo Party <https://kazoo.readthedocs.org/en/latest/api/recipe/party.html>`_. | ZkParty | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZkParty:
"""A wrapper for a `Kazoo Party <https://kazoo.readthedocs.org/en/latest/api/recipe/party.html>`_."""
def __init__(self, zk, path, id_, autojoin_):
""":param zk: A kazoo instance :param str path: The absolute path of the party :param str id_: The service id value to use in t... | stack_v2_sparse_classes_75kplus_train_004453 | 2,514 | permissive | [
{
"docstring": ":param zk: A kazoo instance :param str path: The absolute path of the party :param str id_: The service id value to use in the party :param bool autojoin_: Join the party automatically :raises: ZkNoConnection: if there's no connection to ZK.",
"name": "__init__",
"signature": "def __init... | 4 | stack_v2_sparse_classes_30k_train_049900 | Implement the Python class `ZkParty` described below.
Class description:
A wrapper for a `Kazoo Party <https://kazoo.readthedocs.org/en/latest/api/recipe/party.html>`_.
Method signatures and docstrings:
- def __init__(self, zk, path, id_, autojoin_): :param zk: A kazoo instance :param str path: The absolute path of t... | Implement the Python class `ZkParty` described below.
Class description:
A wrapper for a `Kazoo Party <https://kazoo.readthedocs.org/en/latest/api/recipe/party.html>`_.
Method signatures and docstrings:
- def __init__(self, zk, path, id_, autojoin_): :param zk: A kazoo instance :param str path: The absolute path of t... | 06f3f0b82dc8a535ce8b0a128282af00a8425a06 | <|skeleton|>
class ZkParty:
"""A wrapper for a `Kazoo Party <https://kazoo.readthedocs.org/en/latest/api/recipe/party.html>`_."""
def __init__(self, zk, path, id_, autojoin_):
""":param zk: A kazoo instance :param str path: The absolute path of the party :param str id_: The service id value to use in t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZkParty:
"""A wrapper for a `Kazoo Party <https://kazoo.readthedocs.org/en/latest/api/recipe/party.html>`_."""
def __init__(self, zk, path, id_, autojoin_):
""":param zk: A kazoo instance :param str path: The absolute path of the party :param str id_: The service id value to use in the party :par... | the_stack_v2_python_sparse | lib/zk/party.py | marcoeilers/scion | train | 1 |
f6861e465a630b41e2cd743c3acf6c571cafac03 | [
"dp = [float('inf')] * (amount + 1)\ndp[0] = 0\nfor coin in coins:\n for x in range(coin, amount + 1):\n dp[x] = min(dp[x], dp[x - coin] + 1)\nreturn dp[amount] if dp[amount] != float('inf') else -1",
"dp = [amount + 1] * (amount + 1)\ndp[0] = 0\nfor i in range(amount + 1):\n for coin in coins:\n ... | <|body_start_0|>
dp = [float('inf')] * (amount + 1)
dp[0] = 0
for coin in coins:
for x in range(coin, amount + 1):
dp[x] = min(dp[x], dp[x - coin] + 1)
return dp[amount] if dp[amount] != float('inf') else -1
<|end_body_0|>
<|body_start_1|>
dp = [amoun... | OfficialSolution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OfficialSolution:
def coin_change(self, coins: List[int], amount: int) -> int:
"""动态规划 - 至下而上。"""
<|body_0|>
def coin_change_2(self, coins: List[int], amount: int) -> int:
"""动态规划（自底向上）。 1. base case。 amount 为 0 时，所需硬币数量为 0。 2. 状态。 amount。 3. 选择。 coins。 4. dp 数组/方程。 ... | stack_v2_sparse_classes_75kplus_train_004454 | 3,539 | no_license | [
{
"docstring": "动态规划 - 至下而上。",
"name": "coin_change",
"signature": "def coin_change(self, coins: List[int], amount: int) -> int"
},
{
"docstring": "动态规划（自底向上）。 1. base case。 amount 为 0 时，所需硬币数量为 0。 2. 状态。 amount。 3. 选择。 coins。 4. dp 数组/方程。 dp[n] = 凑成金额 n 最少需要多少硬币。",
"name": "coin_change_2",
... | 2 | null | Implement the Python class `OfficialSolution` described below.
Class description:
Implement the OfficialSolution class.
Method signatures and docstrings:
- def coin_change(self, coins: List[int], amount: int) -> int: 动态规划 - 至下而上。
- def coin_change_2(self, coins: List[int], amount: int) -> int: 动态规划（自底向上）。 1. base cas... | Implement the Python class `OfficialSolution` described below.
Class description:
Implement the OfficialSolution class.
Method signatures and docstrings:
- def coin_change(self, coins: List[int], amount: int) -> int: 动态规划 - 至下而上。
- def coin_change_2(self, coins: List[int], amount: int) -> int: 动态规划（自底向上）。 1. base cas... | 6932d69353b94ec824dd0ddc86a92453f6673232 | <|skeleton|>
class OfficialSolution:
def coin_change(self, coins: List[int], amount: int) -> int:
"""动态规划 - 至下而上。"""
<|body_0|>
def coin_change_2(self, coins: List[int], amount: int) -> int:
"""动态规划（自底向上）。 1. base case。 amount 为 0 时，所需硬币数量为 0。 2. 状态。 amount。 3. 选择。 coins。 4. dp 数组/方程。 ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OfficialSolution:
def coin_change(self, coins: List[int], amount: int) -> int:
"""动态规划 - 至下而上。"""
dp = [float('inf')] * (amount + 1)
dp[0] = 0
for coin in coins:
for x in range(coin, amount + 1):
dp[x] = min(dp[x], dp[x - coin] + 1)
return dp... | the_stack_v2_python_sparse | 0322_coin-change.py | Nigirimeshi/leetcode | train | 0 | |
f166dde05c4a9e67334a5886995788809efade81 | [
"user = self.get_current_user()\nif user:\n feature_ids = notifier.FeatureStar.get_user_stars(user.email())\nelse:\n feature_ids = []\ndata = {'featureIds': feature_ids}\nreturn data",
"feature = self.get_specified_feature()\nstarred = self.get_bool_param('starred', default=True)\nuser = self.get_current_us... | <|body_start_0|>
user = self.get_current_user()
if user:
feature_ids = notifier.FeatureStar.get_user_stars(user.email())
else:
feature_ids = []
data = {'featureIds': feature_ids}
return data
<|end_body_0|>
<|body_start_1|>
feature = self.get_speci... | Users can star a feature by clicking a star icon. The client-side has logic to toggle the star icon. When a user has starred a feature, they will be sent notification emails about changes to that feature. | StarsAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StarsAPI:
"""Users can star a feature by clicking a star icon. The client-side has logic to toggle the star icon. When a user has starred a feature, they will be sent notification emails about changes to that feature."""
def do_get(self, **kwargs):
"""Return a list of all starred fea... | stack_v2_sparse_classes_75kplus_train_004455 | 1,719 | permissive | [
{
"docstring": "Return a list of all starred feature IDs for the signed-in user.",
"name": "do_get",
"signature": "def do_get(self, **kwargs)"
},
{
"docstring": "Set or clear a star on the specified feature.",
"name": "do_post",
"signature": "def do_post(self, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001455 | Implement the Python class `StarsAPI` described below.
Class description:
Users can star a feature by clicking a star icon. The client-side has logic to toggle the star icon. When a user has starred a feature, they will be sent notification emails about changes to that feature.
Method signatures and docstrings:
- def... | Implement the Python class `StarsAPI` described below.
Class description:
Users can star a feature by clicking a star icon. The client-side has logic to toggle the star icon. When a user has starred a feature, they will be sent notification emails about changes to that feature.
Method signatures and docstrings:
- def... | 17f9886d064da5bda84006d5866077727646fff2 | <|skeleton|>
class StarsAPI:
"""Users can star a feature by clicking a star icon. The client-side has logic to toggle the star icon. When a user has starred a feature, they will be sent notification emails about changes to that feature."""
def do_get(self, **kwargs):
"""Return a list of all starred fea... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StarsAPI:
"""Users can star a feature by clicking a star icon. The client-side has logic to toggle the star icon. When a user has starred a feature, they will be sent notification emails about changes to that feature."""
def do_get(self, **kwargs):
"""Return a list of all starred feature IDs for ... | the_stack_v2_python_sparse | api/stars_api.py | GoogleChrome/chromium-dashboard | train | 574 |
d90dd151e51e79badec0aaa67470bb5c62e6428b | [
"if isinstance(request, rest_framework.request.Request):\n return request.data\nreturn super(DRFAuthenticatedGraphQLView, self).parse_body(request)",
"view = super(DRFAuthenticatedGraphQLView, cls).as_view(*args, **kwargs)\nview = permission_classes((AllowAny,))(view)\nview = authentication_classes(api_setting... | <|body_start_0|>
if isinstance(request, rest_framework.request.Request):
return request.data
return super(DRFAuthenticatedGraphQLView, self).parse_body(request)
<|end_body_0|>
<|body_start_1|>
view = super(DRFAuthenticatedGraphQLView, cls).as_view(*args, **kwargs)
view = per... | GRAPH-QL View that utilizes authentication from Django Rest Framework | DRFAuthenticatedGraphQLView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DRFAuthenticatedGraphQLView:
"""GRAPH-QL View that utilizes authentication from Django Rest Framework"""
def parse_body(self, request):
"""Parses Request Data for use in graph-ql"""
<|body_0|>
def as_view(cls, *args, **kwargs):
"""Set DRF attributes in the view""... | stack_v2_sparse_classes_75kplus_train_004456 | 4,981 | permissive | [
{
"docstring": "Parses Request Data for use in graph-ql",
"name": "parse_body",
"signature": "def parse_body(self, request)"
},
{
"docstring": "Set DRF attributes in the view",
"name": "as_view",
"signature": "def as_view(cls, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_020806 | Implement the Python class `DRFAuthenticatedGraphQLView` described below.
Class description:
GRAPH-QL View that utilizes authentication from Django Rest Framework
Method signatures and docstrings:
- def parse_body(self, request): Parses Request Data for use in graph-ql
- def as_view(cls, *args, **kwargs): Set DRF att... | Implement the Python class `DRFAuthenticatedGraphQLView` described below.
Class description:
GRAPH-QL View that utilizes authentication from Django Rest Framework
Method signatures and docstrings:
- def parse_body(self, request): Parses Request Data for use in graph-ql
- def as_view(cls, *args, **kwargs): Set DRF att... | 6b080039398fb4099a34335317d649dd67783f63 | <|skeleton|>
class DRFAuthenticatedGraphQLView:
"""GRAPH-QL View that utilizes authentication from Django Rest Framework"""
def parse_body(self, request):
"""Parses Request Data for use in graph-ql"""
<|body_0|>
def as_view(cls, *args, **kwargs):
"""Set DRF attributes in the view""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DRFAuthenticatedGraphQLView:
"""GRAPH-QL View that utilizes authentication from Django Rest Framework"""
def parse_body(self, request):
"""Parses Request Data for use in graph-ql"""
if isinstance(request, rest_framework.request.Request):
return request.data
return supe... | the_stack_v2_python_sparse | accounts/views.py | daniel-waruo/e-commerse-api | train | 6 |
cdab7e660458d302bc8dc48dea2b22e78182398a | [
"self._device_id = device_id\nself._attr_entity_category = entity_category\nself._attr_name = name\nself._attr_unique_id = unique_id\nself._switch_entity_id = switch_entity_id",
"if (state := self.hass.states.get(self._switch_entity_id)) is None or state.state == STATE_UNAVAILABLE:\n self._attr_available = Fal... | <|body_start_0|>
self._device_id = device_id
self._attr_entity_category = entity_category
self._attr_name = name
self._attr_unique_id = unique_id
self._switch_entity_id = switch_entity_id
<|end_body_0|>
<|body_start_1|>
if (state := self.hass.states.get(self._switch_enti... | Represents a Switch as a X. | BaseEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseEntity:
"""Represents a Switch as a X."""
def __init__(self, name: str, switch_entity_id: str, unique_id: str | None, device_id: str | None=None, entity_category: EntityCategory | None=None) -> None:
"""Initialize Light Switch."""
<|body_0|>
def async_state_changed_l... | stack_v2_sparse_classes_75kplus_train_004457 | 3,534 | permissive | [
{
"docstring": "Initialize Light Switch.",
"name": "__init__",
"signature": "def __init__(self, name: str, switch_entity_id: str, unique_id: str | None, device_id: str | None=None, entity_category: EntityCategory | None=None) -> None"
},
{
"docstring": "Handle child updates.",
"name": "async... | 3 | stack_v2_sparse_classes_30k_val_002659 | Implement the Python class `BaseEntity` described below.
Class description:
Represents a Switch as a X.
Method signatures and docstrings:
- def __init__(self, name: str, switch_entity_id: str, unique_id: str | None, device_id: str | None=None, entity_category: EntityCategory | None=None) -> None: Initialize Light Swi... | Implement the Python class `BaseEntity` described below.
Class description:
Represents a Switch as a X.
Method signatures and docstrings:
- def __init__(self, name: str, switch_entity_id: str, unique_id: str | None, device_id: str | None=None, entity_category: EntityCategory | None=None) -> None: Initialize Light Swi... | bfa315be51371a1b63e04342a0b275a57ae148bd | <|skeleton|>
class BaseEntity:
"""Represents a Switch as a X."""
def __init__(self, name: str, switch_entity_id: str, unique_id: str | None, device_id: str | None=None, entity_category: EntityCategory | None=None) -> None:
"""Initialize Light Switch."""
<|body_0|>
def async_state_changed_l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseEntity:
"""Represents a Switch as a X."""
def __init__(self, name: str, switch_entity_id: str, unique_id: str | None, device_id: str | None=None, entity_category: EntityCategory | None=None) -> None:
"""Initialize Light Switch."""
self._device_id = device_id
self._attr_entity_... | the_stack_v2_python_sparse | homeassistant/components/switch_as_x/entity.py | bdraco/home-assistant | train | 13 |
65d88785f79bd16f39bfc2dad2f2d76f92978334 | [
"super(Encoder, self).__init__()\nself.hidden_dim = hidden_dim // 2 if bidir else hidden_dim\nself.n_layers = n_layers * 2 if bidir else n_layers\nself.bidir = bidir\nself.lstm = nn.LSTM(embedding_dim, self.hidden_dim, n_layers, dropout=dropout, bidirectional=bidir)\nself.h0 = Parameter(torch.zeros(1), requires_gra... | <|body_start_0|>
super(Encoder, self).__init__()
self.hidden_dim = hidden_dim // 2 if bidir else hidden_dim
self.n_layers = n_layers * 2 if bidir else n_layers
self.bidir = bidir
self.lstm = nn.LSTM(embedding_dim, self.hidden_dim, n_layers, dropout=dropout, bidirectional=bidir)
... | Encoder class for Pointer-Net | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
"""Encoder class for Pointer-Net"""
def __init__(self, embedding_dim, hidden_dim, n_layers, dropout, bidir):
"""Initiate Encoder :param Tensor embedding_dim: Number of embbeding channels :param int hidden_dim: Number of hidden units for the LSTM :param int n_layers: Number o... | stack_v2_sparse_classes_75kplus_train_004458 | 12,775 | no_license | [
{
"docstring": "Initiate Encoder :param Tensor embedding_dim: Number of embbeding channels :param int hidden_dim: Number of hidden units for the LSTM :param int n_layers: Number of layers for LSTMs :param float dropout: Float between 0-1 :param bool bidir: Bidirectional",
"name": "__init__",
"signature"... | 3 | stack_v2_sparse_classes_30k_train_045860 | Implement the Python class `Encoder` described below.
Class description:
Encoder class for Pointer-Net
Method signatures and docstrings:
- def __init__(self, embedding_dim, hidden_dim, n_layers, dropout, bidir): Initiate Encoder :param Tensor embedding_dim: Number of embbeding channels :param int hidden_dim: Number o... | Implement the Python class `Encoder` described below.
Class description:
Encoder class for Pointer-Net
Method signatures and docstrings:
- def __init__(self, embedding_dim, hidden_dim, n_layers, dropout, bidir): Initiate Encoder :param Tensor embedding_dim: Number of embbeding channels :param int hidden_dim: Number o... | 86a480b9196053cee9a3287e023dd12a13bb5df8 | <|skeleton|>
class Encoder:
"""Encoder class for Pointer-Net"""
def __init__(self, embedding_dim, hidden_dim, n_layers, dropout, bidir):
"""Initiate Encoder :param Tensor embedding_dim: Number of embbeding channels :param int hidden_dim: Number of hidden units for the LSTM :param int n_layers: Number o... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Encoder:
"""Encoder class for Pointer-Net"""
def __init__(self, embedding_dim, hidden_dim, n_layers, dropout, bidir):
"""Initiate Encoder :param Tensor embedding_dim: Number of embbeding channels :param int hidden_dim: Number of hidden units for the LSTM :param int n_layers: Number of layers for ... | the_stack_v2_python_sparse | PointerNet.py | EleanorHYW/Rerank | train | 0 |
c3376f63f04f936342947faf956e68576df9e031 | [
"if len(nums) <= 1:\n return [nums]\nnum_copy = nums.copy()\nret = []\nfor i, num in enumerate(nums):\n num_copy.pop(i)\n for r in self.permute(num_copy):\n ret.append([num] + r)\n num_copy.insert(i, num)\nreturn ret",
"if len(nums) == 1:\n return [nums]\npre_ret = self.permute(nums[1:])\nre... | <|body_start_0|>
if len(nums) <= 1:
return [nums]
num_copy = nums.copy()
ret = []
for i, num in enumerate(nums):
num_copy.pop(i)
for r in self.permute(num_copy):
ret.append([num] + r)
num_copy.insert(i, num)
return r... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def permute2(self, nums: List[int]) -> List[List[int]]:
"""AC: 04/20/2022 14:09 Runtime: 54 ms, faster than 53.41% Memory Usage: 14.1 MB, less than 60.27% 1 <= nums.length <= 6 -10 <= nums[i] <= 10 All the integers of nums are unique."""
<|body_0|>
def permute(self... | stack_v2_sparse_classes_75kplus_train_004459 | 2,014 | permissive | [
{
"docstring": "AC: 04/20/2022 14:09 Runtime: 54 ms, faster than 53.41% Memory Usage: 14.1 MB, less than 60.27% 1 <= nums.length <= 6 -10 <= nums[i] <= 10 All the integers of nums are unique.",
"name": "permute2",
"signature": "def permute2(self, nums: List[int]) -> List[List[int]]"
},
{
"docstr... | 2 | stack_v2_sparse_classes_30k_train_017720 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute2(self, nums: List[int]) -> List[List[int]]: AC: 04/20/2022 14:09 Runtime: 54 ms, faster than 53.41% Memory Usage: 14.1 MB, less than 60.27% 1 <= nums.length <= 6 -10 ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute2(self, nums: List[int]) -> List[List[int]]: AC: 04/20/2022 14:09 Runtime: 54 ms, faster than 53.41% Memory Usage: 14.1 MB, less than 60.27% 1 <= nums.length <= 6 -10 ... | 4dd1e54d8d08f7e6590bc76abd08ecaacaf775e5 | <|skeleton|>
class Solution:
def permute2(self, nums: List[int]) -> List[List[int]]:
"""AC: 04/20/2022 14:09 Runtime: 54 ms, faster than 53.41% Memory Usage: 14.1 MB, less than 60.27% 1 <= nums.length <= 6 -10 <= nums[i] <= 10 All the integers of nums are unique."""
<|body_0|>
def permute(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def permute2(self, nums: List[int]) -> List[List[int]]:
"""AC: 04/20/2022 14:09 Runtime: 54 ms, faster than 53.41% Memory Usage: 14.1 MB, less than 60.27% 1 <= nums.length <= 6 -10 <= nums[i] <= 10 All the integers of nums are unique."""
if len(nums) <= 1:
return [nums]
... | the_stack_v2_python_sparse | src/46-Permutations.py | Jiezhi/myleetcode | train | 1 | |
0950c0a24497879c17bc72802b627d0fffe2d15e | [
"if n < 2:\n return 1\ndp = [0] * (n + 1)\ndp[0], dp[1] = (1, 1)\nfor i in range(2, n + 1):\n dp[i] = dp[i - 1] + dp[i - 2]\nreturn dp[n]",
"if n < 2:\n return n\na, b, sum = (1, 1, 0)\nfor _ in range(2, n + 1):\n sum = a + b\n a = b\n b = sum\nreturn sum"
] | <|body_start_0|>
if n < 2:
return 1
dp = [0] * (n + 1)
dp[0], dp[1] = (1, 1)
for i in range(2, n + 1):
dp[i] = dp[i - 1] + dp[i - 2]
return dp[n]
<|end_body_0|>
<|body_start_1|>
if n < 2:
return n
a, b, sum = (1, 1, 0)
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def climbStairs(self, n: int) -> int:
"""递归方程：f(n) = f(n-1) + f(n-2)，n >= 2"""
<|body_0|>
def climbStairs1(self, n: int) -> int:
"""空间复杂度：O(1)"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n < 2:
return 1
dp = [0] ... | stack_v2_sparse_classes_75kplus_train_004460 | 1,471 | permissive | [
{
"docstring": "递归方程：f(n) = f(n-1) + f(n-2)，n >= 2",
"name": "climbStairs",
"signature": "def climbStairs(self, n: int) -> int"
},
{
"docstring": "空间复杂度：O(1)",
"name": "climbStairs1",
"signature": "def climbStairs1(self, n: int) -> int"
}
] | 2 | stack_v2_sparse_classes_30k_train_002416 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def climbStairs(self, n: int) -> int: 递归方程：f(n) = f(n-1) + f(n-2)，n >= 2
- def climbStairs1(self, n: int) -> int: 空间复杂度：O(1) | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def climbStairs(self, n: int) -> int: 递归方程：f(n) = f(n-1) + f(n-2)，n >= 2
- def climbStairs1(self, n: int) -> int: 空间复杂度：O(1)
<|skeleton|>
class Solution:
def climbStairs(se... | e8a1c6cae6547cbcb6e8494be6df685f3e7c837c | <|skeleton|>
class Solution:
def climbStairs(self, n: int) -> int:
"""递归方程：f(n) = f(n-1) + f(n-2)，n >= 2"""
<|body_0|>
def climbStairs1(self, n: int) -> int:
"""空间复杂度：O(1)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def climbStairs(self, n: int) -> int:
"""递归方程：f(n) = f(n-1) + f(n-2)，n >= 2"""
if n < 2:
return 1
dp = [0] * (n + 1)
dp[0], dp[1] = (1, 1)
for i in range(2, n + 1):
dp[i] = dp[i - 1] + dp[i - 2]
return dp[n]
def climbStairs... | the_stack_v2_python_sparse | 70-climbing-stairs.py | yuenliou/leetcode | train | 0 | |
74843c6faf6579dc0c046e1f93774b12c8614a57 | [
"self.access_token_type = 'access_token'\nself.device_authorization_endpoint = device_authorization_endpoint\nself.code_challenge_method = code_challenge_method\nsuper(OidcDeviceAuthorization, self).__init__(auth_url=auth_url, identity_provider=identity_provider, protocol=protocol, client_id=client_id, client_secre... | <|body_start_0|>
self.access_token_type = 'access_token'
self.device_authorization_endpoint = device_authorization_endpoint
self.code_challenge_method = code_challenge_method
super(OidcDeviceAuthorization, self).__init__(auth_url=auth_url, identity_provider=identity_provider, protocol=pr... | Implementation for OAuth 2.0 Device Authorization Grant. | OidcDeviceAuthorization | [
"Apache-2.0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OidcDeviceAuthorization:
"""Implementation for OAuth 2.0 Device Authorization Grant."""
def __init__(self, auth_url, identity_provider, protocol, client_id, client_secret=None, access_token_endpoint=None, device_authorization_endpoint=None, discovery_endpoint=None, code_challenge=None, code_... | stack_v2_sparse_classes_75kplus_train_004461 | 26,868 | permissive | [
{
"docstring": "The OAuth 2.0 Device Authorization plugin expects the following. :param device_authorization_endpoint: OAuth 2.0 Device Authorization Endpoint, for example: https://localhost:8020/oidc/authorize/device Note that if a discovery document is provided this value will override the discovered one. :ty... | 6 | stack_v2_sparse_classes_30k_train_033769 | Implement the Python class `OidcDeviceAuthorization` described below.
Class description:
Implementation for OAuth 2.0 Device Authorization Grant.
Method signatures and docstrings:
- def __init__(self, auth_url, identity_provider, protocol, client_id, client_secret=None, access_token_endpoint=None, device_authorizatio... | Implement the Python class `OidcDeviceAuthorization` described below.
Class description:
Implementation for OAuth 2.0 Device Authorization Grant.
Method signatures and docstrings:
- def __init__(self, auth_url, identity_provider, protocol, client_id, client_secret=None, access_token_endpoint=None, device_authorizatio... | e6f3999c6f2f846e3dda505343166ab8c8346c2a | <|skeleton|>
class OidcDeviceAuthorization:
"""Implementation for OAuth 2.0 Device Authorization Grant."""
def __init__(self, auth_url, identity_provider, protocol, client_id, client_secret=None, access_token_endpoint=None, device_authorization_endpoint=None, discovery_endpoint=None, code_challenge=None, code_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OidcDeviceAuthorization:
"""Implementation for OAuth 2.0 Device Authorization Grant."""
def __init__(self, auth_url, identity_provider, protocol, client_id, client_secret=None, access_token_endpoint=None, device_authorization_endpoint=None, discovery_endpoint=None, code_challenge=None, code_challenge_met... | the_stack_v2_python_sparse | keystoneauth1/identity/v3/oidc.py | openstack/keystoneauth | train | 51 |
39dd1df263aeb270406c25a7c06bd35dae05337a | [
"super(DeepclusteringReconstructor, self).__init__(conf, evalconf, dataconf, rec_dir, task, optimal_frame_permutation)\nusedbins_names = conf['usedbins'].split(' ')\nusedbins_dataconfs = []\nfor usedbins_name in usedbins_names:\n usedbins_dataconfs.append(dict(dataconf.items(usedbins_name)))\nself.usedbins_reade... | <|body_start_0|>
super(DeepclusteringReconstructor, self).__init__(conf, evalconf, dataconf, rec_dir, task, optimal_frame_permutation)
usedbins_names = conf['usedbins'].split(' ')
usedbins_dataconfs = []
for usedbins_name in usedbins_names:
usedbins_dataconfs.append(dict(data... | the deepclustering reconstructor class a reconstructor using deep clustering | DeepclusteringReconstructor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeepclusteringReconstructor:
"""the deepclustering reconstructor class a reconstructor using deep clustering"""
def __init__(self, conf, evalconf, dataconf, rec_dir, task, optimal_frame_permutation=False):
"""DeepclusteringReconstructor constructor Args: conf: the reconstructor confi... | stack_v2_sparse_classes_75kplus_train_004462 | 4,868 | permissive | [
{
"docstring": "DeepclusteringReconstructor constructor Args: conf: the reconstructor configuration as a dictionary evalconf: the evaluator configuration as a ConfigParser dataconf: the database configuration rec_dir: the directory where the reconstructions will be stored",
"name": "__init__",
"signatur... | 3 | stack_v2_sparse_classes_30k_train_012532 | Implement the Python class `DeepclusteringReconstructor` described below.
Class description:
the deepclustering reconstructor class a reconstructor using deep clustering
Method signatures and docstrings:
- def __init__(self, conf, evalconf, dataconf, rec_dir, task, optimal_frame_permutation=False): DeepclusteringReco... | Implement the Python class `DeepclusteringReconstructor` described below.
Class description:
the deepclustering reconstructor class a reconstructor using deep clustering
Method signatures and docstrings:
- def __init__(self, conf, evalconf, dataconf, rec_dir, task, optimal_frame_permutation=False): DeepclusteringReco... | 5e862cbf846d45b8a317f87588533f3fde9f0726 | <|skeleton|>
class DeepclusteringReconstructor:
"""the deepclustering reconstructor class a reconstructor using deep clustering"""
def __init__(self, conf, evalconf, dataconf, rec_dir, task, optimal_frame_permutation=False):
"""DeepclusteringReconstructor constructor Args: conf: the reconstructor confi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeepclusteringReconstructor:
"""the deepclustering reconstructor class a reconstructor using deep clustering"""
def __init__(self, conf, evalconf, dataconf, rec_dir, task, optimal_frame_permutation=False):
"""DeepclusteringReconstructor constructor Args: conf: the reconstructor configuration as a... | the_stack_v2_python_sparse | nabu/postprocessing/reconstructors/deepclustering_reconstructor.py | JeroenZegers/Nabu-MSSS | train | 19 |
1abf2d4646379c4a743604a6834a37bbf2bb26d8 | [
"if GuidedBackprop.GuidedReluRegistered is False:\n\n @tf.RegisterGradient('GuidedRelu')\n def _GuidedReluGrad(op, grad):\n gate_g = tf.cast(grad > 0, 'float32')\n gate_y = tf.cast(op.outputs[0] > 0, 'float32')\n return gate_y * gate_g * grad\nGuidedBackprop.GuidedReluRegistered = True\n'... | <|body_start_0|>
if GuidedBackprop.GuidedReluRegistered is False:
@tf.RegisterGradient('GuidedRelu')
def _GuidedReluGrad(op, grad):
gate_g = tf.cast(grad > 0, 'float32')
gate_y = tf.cast(op.outputs[0] > 0, 'float32')
return gate_y * gate_g... | A SaliencyMask class that computes saliency masks with GuidedBackProp. This implementation copies the TensorFlow graph to a new graph with the ReLU gradient overwritten as in the paper: https://arxiv.org/abs/1412.6806 | GuidedBackprop | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GuidedBackprop:
"""A SaliencyMask class that computes saliency masks with GuidedBackProp. This implementation copies the TensorFlow graph to a new graph with the ReLU gradient overwritten as in the paper: https://arxiv.org/abs/1412.6806"""
def __init__(self, model, output_index=0, custom_los... | stack_v2_sparse_classes_75kplus_train_004463 | 3,700 | permissive | [
{
"docstring": "Constructs a GuidedBackprop SaliencyMask.",
"name": "__init__",
"signature": "def __init__(self, model, output_index=0, custom_loss=None)"
},
{
"docstring": "Returns a GuidedBackprop mask.",
"name": "get_mask",
"signature": "def get_mask(self, input_image)"
}
] | 2 | null | Implement the Python class `GuidedBackprop` described below.
Class description:
A SaliencyMask class that computes saliency masks with GuidedBackProp. This implementation copies the TensorFlow graph to a new graph with the ReLU gradient overwritten as in the paper: https://arxiv.org/abs/1412.6806
Method signatures an... | Implement the Python class `GuidedBackprop` described below.
Class description:
A SaliencyMask class that computes saliency masks with GuidedBackProp. This implementation copies the TensorFlow graph to a new graph with the ReLU gradient overwritten as in the paper: https://arxiv.org/abs/1412.6806
Method signatures an... | 692785e881dc12a1500a9e651b07c7ff6fef6f9d | <|skeleton|>
class GuidedBackprop:
"""A SaliencyMask class that computes saliency masks with GuidedBackProp. This implementation copies the TensorFlow graph to a new graph with the ReLU gradient overwritten as in the paper: https://arxiv.org/abs/1412.6806"""
def __init__(self, model, output_index=0, custom_los... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GuidedBackprop:
"""A SaliencyMask class that computes saliency masks with GuidedBackProp. This implementation copies the TensorFlow graph to a new graph with the ReLU gradient overwritten as in the paper: https://arxiv.org/abs/1412.6806"""
def __init__(self, model, output_index=0, custom_loss=None):
... | the_stack_v2_python_sparse | keras_explain/deep_viz_keras/guided_backprop.py | PrimozGodec/keras-explain | train | 18 |
060cf491d95c2562dee4a400e3409fef73b7b275 | [
"self.attempt_num = attempt_num\nself.job_instance_id = job_instance_id\nself.job_start_time_usecs = job_start_time_usecs",
"if dictionary is None:\n return None\nattempt_num = dictionary.get('attemptNum')\njob_instance_id = dictionary.get('jobInstanceId')\njob_start_time_usecs = dictionary.get('jobStartTimeUs... | <|body_start_0|>
self.attempt_num = attempt_num
self.job_instance_id = job_instance_id
self.job_start_time_usecs = job_start_time_usecs
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
attempt_num = dictionary.get('attemptNum')
job_instance_... | Implementation of the 'MagnetoInstanceId' model. TODO: type description here. Attributes: attempt_num (long|int): The attempt of the job instance that took the snapshot. job_instance_id (long|int): Instance of the job that took the snapshot. job_start_time_usecs (long|int): Start time of the job instance. | MagnetoInstanceId | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MagnetoInstanceId:
"""Implementation of the 'MagnetoInstanceId' model. TODO: type description here. Attributes: attempt_num (long|int): The attempt of the job instance that took the snapshot. job_instance_id (long|int): Instance of the job that took the snapshot. job_start_time_usecs (long|int): ... | stack_v2_sparse_classes_75kplus_train_004464 | 1,991 | permissive | [
{
"docstring": "Constructor for the MagnetoInstanceId class",
"name": "__init__",
"signature": "def __init__(self, attempt_num=None, job_instance_id=None, job_start_time_usecs=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionar... | 2 | stack_v2_sparse_classes_30k_val_001383 | Implement the Python class `MagnetoInstanceId` described below.
Class description:
Implementation of the 'MagnetoInstanceId' model. TODO: type description here. Attributes: attempt_num (long|int): The attempt of the job instance that took the snapshot. job_instance_id (long|int): Instance of the job that took the snap... | Implement the Python class `MagnetoInstanceId` described below.
Class description:
Implementation of the 'MagnetoInstanceId' model. TODO: type description here. Attributes: attempt_num (long|int): The attempt of the job instance that took the snapshot. job_instance_id (long|int): Instance of the job that took the snap... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class MagnetoInstanceId:
"""Implementation of the 'MagnetoInstanceId' model. TODO: type description here. Attributes: attempt_num (long|int): The attempt of the job instance that took the snapshot. job_instance_id (long|int): Instance of the job that took the snapshot. job_start_time_usecs (long|int): ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MagnetoInstanceId:
"""Implementation of the 'MagnetoInstanceId' model. TODO: type description here. Attributes: attempt_num (long|int): The attempt of the job instance that took the snapshot. job_instance_id (long|int): Instance of the job that took the snapshot. job_start_time_usecs (long|int): Start time of... | the_stack_v2_python_sparse | cohesity_management_sdk/models/magneto_instance_id.py | cohesity/management-sdk-python | train | 24 |
fba92b565b0b80e6da232dba71044d76188fa657 | [
"user = self.request.user\nif not user.profile.has_backdated:\n backdate_user(user.profile)\nreturn user",
"user = self.request.user\ncontext = super().get_context_data(**kwargs)\nif not user.profile.has_backdated:\n backdate_user(user.profile)\nmemberships = user.membership_set.all().order_by('group__name'... | <|body_start_0|>
user = self.request.user
if not user.profile.has_backdated:
backdate_user(user.profile)
return user
<|end_body_0|>
<|body_start_1|>
user = self.request.user
context = super().get_context_data(**kwargs)
if not user.profile.has_backdated:
... | View for a user's dashboard. | UserDetailView | [
"MIT",
"AGPL-3.0-only",
"ISC",
"LGPL-2.1-or-later",
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserDetailView:
"""View for a user's dashboard."""
def get_object(self):
"""Get object for template."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Get additional context data for template."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_004465 | 16,961 | permissive | [
{
"docstring": "Get object for template.",
"name": "get_object",
"signature": "def get_object(self)"
},
{
"docstring": "Get additional context data for template.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_037378 | Implement the Python class `UserDetailView` described below.
Class description:
View for a user's dashboard.
Method signatures and docstrings:
- def get_object(self): Get object for template.
- def get_context_data(self, **kwargs): Get additional context data for template. | Implement the Python class `UserDetailView` described below.
Class description:
View for a user's dashboard.
Method signatures and docstrings:
- def get_object(self): Get object for template.
- def get_context_data(self, **kwargs): Get additional context data for template.
<|skeleton|>
class UserDetailView:
"""V... | 5b668eb66449e2ebaeb2177237b9a55a14d69efb | <|skeleton|>
class UserDetailView:
"""View for a user's dashboard."""
def get_object(self):
"""Get object for template."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Get additional context data for template."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserDetailView:
"""View for a user's dashboard."""
def get_object(self):
"""Get object for template."""
user = self.request.user
if not user.profile.has_backdated:
backdate_user(user.profile)
return user
def get_context_data(self, **kwargs):
"""Get... | the_stack_v2_python_sparse | codewof/users/views.py | uccser/codewof | train | 7 |
70c6aa44c56170d6968e1fb33022c2cc416e92b4 | [
"if not isinstance(node, Node):\n raise TypeError('not a node')\nfor child in node:\n yield child\n for subchild in self.walk(child, condition):\n yield subchild",
"if not isinstance(node, Node):\n raise TypeError('not a node')\nfor child in node:\n if condition(child):\n yield child\... | <|body_start_0|>
if not isinstance(node, Node):
raise TypeError('not a node')
for child in node:
yield child
for subchild in self.walk(child, condition):
yield subchild
<|end_body_0|>
<|body_start_1|>
if not isinstance(node, Node):
... | The generic walker that will walk through the asttypes tree. It also provide a couple helper methods that serves as filters, i.e. it will only return specific nodes that match the conditions that were provided. The condition is specified as a function that accept a single Node as the argument, which the function may us... | Walker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Walker:
"""The generic walker that will walk through the asttypes tree. It also provide a couple helper methods that serves as filters, i.e. it will only return specific nodes that match the conditions that were provided. The condition is specified as a function that accept a single Node as the a... | stack_v2_sparse_classes_75kplus_train_004466 | 6,622 | permissive | [
{
"docstring": "Simply walk through the entire node; condition argument is ignored.",
"name": "walk",
"signature": "def walk(self, node, condition=None)"
},
{
"docstring": "This method accepts a node and the condition function; a generator will be returned to yield the nodes that got matched by ... | 3 | null | Implement the Python class `Walker` described below.
Class description:
The generic walker that will walk through the asttypes tree. It also provide a couple helper methods that serves as filters, i.e. it will only return specific nodes that match the conditions that were provided. The condition is specified as a func... | Implement the Python class `Walker` described below.
Class description:
The generic walker that will walk through the asttypes tree. It also provide a couple helper methods that serves as filters, i.e. it will only return specific nodes that match the conditions that were provided. The condition is specified as a func... | a9748e668e7111365d373f1edff07f0b779d6efc | <|skeleton|>
class Walker:
"""The generic walker that will walk through the asttypes tree. It also provide a couple helper methods that serves as filters, i.e. it will only return specific nodes that match the conditions that were provided. The condition is specified as a function that accept a single Node as the a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Walker:
"""The generic walker that will walk through the asttypes tree. It also provide a couple helper methods that serves as filters, i.e. it will only return specific nodes that match the conditions that were provided. The condition is specified as a function that accept a single Node as the argument, whic... | the_stack_v2_python_sparse | src/calmjs/parse/walkers.py | calmjs/calmjs.parse | train | 40 |
2ae67a3233aa99941dccfb5e10bb936bc9ef392c | [
"records = set(words)\noutput = ''\nfor word in words:\n if len(word) > len(output) or (len(word) == len(output) and word < output):\n if all([word[:i] in records for i in range(1, len(word))]):\n output = word\nreturn output",
"_trie = lambda: collections.defaultdict(_trie)\ntrie = _trie()\n... | <|body_start_0|>
records = set(words)
output = ''
for word in words:
if len(word) > len(output) or (len(word) == len(output) and word < output):
if all([word[:i] in records for i in range(1, len(word))]):
output = word
return output
<|end_b... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestWord(self, words):
""":type words: List[str] :rtype: str"""
<|body_0|>
def longestWord_trie(self, words):
""":type words: List[str] :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
records = set(words)
output ... | stack_v2_sparse_classes_75kplus_train_004467 | 2,816 | no_license | [
{
"docstring": ":type words: List[str] :rtype: str",
"name": "longestWord",
"signature": "def longestWord(self, words)"
},
{
"docstring": ":type words: List[str] :rtype: str",
"name": "longestWord_trie",
"signature": "def longestWord_trie(self, words)"
}
] | 2 | stack_v2_sparse_classes_30k_train_028022 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestWord(self, words): :type words: List[str] :rtype: str
- def longestWord_trie(self, words): :type words: List[str] :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestWord(self, words): :type words: List[str] :rtype: str
- def longestWord_trie(self, words): :type words: List[str] :rtype: str
<|skeleton|>
class Solution:
def lo... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def longestWord(self, words):
""":type words: List[str] :rtype: str"""
<|body_0|>
def longestWord_trie(self, words):
""":type words: List[str] :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestWord(self, words):
""":type words: List[str] :rtype: str"""
records = set(words)
output = ''
for word in words:
if len(word) > len(output) or (len(word) == len(output) and word < output):
if all([word[:i] in records for i in rang... | the_stack_v2_python_sparse | src/lt_720.py | oxhead/CodingYourWay | train | 0 | |
763274af084f20092907e9a1a89050693dcdd4bb | [
"if not strs:\n return ''\nstr0 = min(strs)\nstr1 = max(strs)\nfor i in range(len(str0)):\n if str0[i] != str1[i]:\n return str0[:i]\nreturn str0",
"if not strs:\n return ''\nmin_len_str = sorted([[str_, len(str_)] for str_ in strs], key=lambda s: s[1])[0][0]\nstrs.remove(min_len_str)\nlongest_pre... | <|body_start_0|>
if not strs:
return ''
str0 = min(strs)
str1 = max(strs)
for i in range(len(str0)):
if str0[i] != str1[i]:
return str0[:i]
return str0
<|end_body_0|>
<|body_start_1|>
if not strs:
return ''
min_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_0|>
def longestCommonPrefix2(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_1|>
def longestCommonPrefix3(self, strs):
""":type strs: List[s... | stack_v2_sparse_classes_75kplus_train_004468 | 1,893 | no_license | [
{
"docstring": ":type strs: List[str] :rtype: str",
"name": "longestCommonPrefix",
"signature": "def longestCommonPrefix(self, strs)"
},
{
"docstring": ":type strs: List[str] :rtype: str",
"name": "longestCommonPrefix2",
"signature": "def longestCommonPrefix2(self, strs)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_004460 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonPrefix(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefix2(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefix3(self, ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonPrefix(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefix2(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefix3(self, ... | 97cc61fefe0bedf5161687aab92fb09b0df990e2 | <|skeleton|>
class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_0|>
def longestCommonPrefix2(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_1|>
def longestCommonPrefix3(self, strs):
""":type strs: List[s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
if not strs:
return ''
str0 = min(strs)
str1 = max(strs)
for i in range(len(str0)):
if str0[i] != str1[i]:
return str0[:i]
return str0
... | the_stack_v2_python_sparse | code/other/longest_common_prefix.py | JiaXingBinggan/For_work | train | 0 | |
dd8bf1ef85e35c48f44068986bc6fce957132d8f | [
"del kwargs\nif not isinstance(model, Model):\n wrapper_warning()\n model = CallableModelWrapper(model, 'probs')\nsuper(FastGradientMethod, self).__init__(model, dtypestr)",
"assert self.parse_params(**kwargs)\nlabels, _nb_classes = self.get_or_guess_labels(x, kwargs)\nreturn self.fgm(x, labels=labels, targ... | <|body_start_0|>
del kwargs
if not isinstance(model, Model):
wrapper_warning()
model = CallableModelWrapper(model, 'probs')
super(FastGradientMethod, self).__init__(model, dtypestr)
<|end_body_0|>
<|body_start_1|>
assert self.parse_params(**kwargs)
labels... | Inherited class from Attack and cleverhans.attacks.FastGradientMethod. This attack was originally implemented by Goodfellow et al. (2015) with the infinity norm (and is known as the "Fast Gradient Sign Method"). This implementation extends the attack to other norms, and is therefore called the Fast Gradient Method. Pap... | FastGradientMethod | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FastGradientMethod:
"""Inherited class from Attack and cleverhans.attacks.FastGradientMethod. This attack was originally implemented by Goodfellow et al. (2015) with the infinity norm (and is known as the "Fast Gradient Sign Method"). This implementation extends the attack to other norms, and is ... | stack_v2_sparse_classes_75kplus_train_004469 | 6,719 | permissive | [
{
"docstring": "Creates a FastGradientMethod instance in eager execution. :model: cleverhans.model.Model :dtypestr: datatype in the string format.",
"name": "__init__",
"signature": "def __init__(self, model, dtypestr='float32', **kwargs)"
},
{
"docstring": "Generates the adversarial sample for ... | 3 | null | Implement the Python class `FastGradientMethod` described below.
Class description:
Inherited class from Attack and cleverhans.attacks.FastGradientMethod. This attack was originally implemented by Goodfellow et al. (2015) with the infinity norm (and is known as the "Fast Gradient Sign Method"). This implementation ext... | Implement the Python class `FastGradientMethod` described below.
Class description:
Inherited class from Attack and cleverhans.attacks.FastGradientMethod. This attack was originally implemented by Goodfellow et al. (2015) with the infinity norm (and is known as the "Fast Gradient Sign Method"). This implementation ext... | bbe96757fa7daded0090b1d9a26b9c90d7d87c61 | <|skeleton|>
class FastGradientMethod:
"""Inherited class from Attack and cleverhans.attacks.FastGradientMethod. This attack was originally implemented by Goodfellow et al. (2015) with the infinity norm (and is known as the "Fast Gradient Sign Method"). This implementation extends the attack to other norms, and is ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FastGradientMethod:
"""Inherited class from Attack and cleverhans.attacks.FastGradientMethod. This attack was originally implemented by Goodfellow et al. (2015) with the infinity norm (and is known as the "Fast Gradient Sign Method"). This implementation extends the attack to other norms, and is therefore cal... | the_stack_v2_python_sparse | cleverhans/attacks_tfe.py | yogeshbalaji/InvGAN | train | 17 |
1b07b5a66f6ef5dd53e8b640e31ec9a771a49b57 | [
"if not hasattr(cls, 'instance') or not cls.instance:\n cls.instance = super().__new__(cls)\nreturn cls.instance",
"if hasattr(self, 'context'):\n return\n' initialize CIContext '\ncontext_options = NSDictionary.dictionaryWithDictionary_({'workingColorSpace': Quartz.CoreGraphics.kCGColorSpaceExtendedSRGB, '... | <|body_start_0|>
if not hasattr(cls, 'instance') or not cls.instance:
cls.instance = super().__new__(cls)
return cls.instance
<|end_body_0|>
<|body_start_1|>
if hasattr(self, 'context'):
return
' initialize CIContext '
context_options = NSDictionary.dicti... | Convert images to jpeg. This class is a singleton which will re-use the Core Image CIContext to avoid creating a new context for every conversion. | ImageConverter | [
"MIT",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageConverter:
"""Convert images to jpeg. This class is a singleton which will re-use the Core Image CIContext to avoid creating a new context for every conversion."""
def __new__(cls, *args, **kwargs):
"""create new object or return instance of already created singleton"""
... | stack_v2_sparse_classes_75kplus_train_004470 | 5,124 | permissive | [
{
"docstring": "create new object or return instance of already created singleton",
"name": "__new__",
"signature": "def __new__(cls, *args, **kwargs)"
},
{
"docstring": "return existing singleton or create a new one",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_val_000198 | Implement the Python class `ImageConverter` described below.
Class description:
Convert images to jpeg. This class is a singleton which will re-use the Core Image CIContext to avoid creating a new context for every conversion.
Method signatures and docstrings:
- def __new__(cls, *args, **kwargs): create new object or... | Implement the Python class `ImageConverter` described below.
Class description:
Convert images to jpeg. This class is a singleton which will re-use the Core Image CIContext to avoid creating a new context for every conversion.
Method signatures and docstrings:
- def __new__(cls, *args, **kwargs): create new object or... | 2cb5a4d18a27be6ccf68f5f35abd39418d238016 | <|skeleton|>
class ImageConverter:
"""Convert images to jpeg. This class is a singleton which will re-use the Core Image CIContext to avoid creating a new context for every conversion."""
def __new__(cls, *args, **kwargs):
"""create new object or return instance of already created singleton"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImageConverter:
"""Convert images to jpeg. This class is a singleton which will re-use the Core Image CIContext to avoid creating a new context for every conversion."""
def __new__(cls, *args, **kwargs):
"""create new object or return instance of already created singleton"""
if not hasatt... | the_stack_v2_python_sparse | osxphotos/imageconverter.py | RhetTbull/osxphotos | train | 1,287 |
22a95d052d6069f5ccb2bd60d93f52e335dbc054 | [
"self.b = big\nself.m = medium\nself.s = small",
"if carType == 1:\n self.b -= 1\n n = self.b\nelif carType == 2:\n self.m -= 1\n n = self.m\nelif carType == 3:\n self.s -= 1\n n = self.s\nreturn n >= 0"
] | <|body_start_0|>
self.b = big
self.m = medium
self.s = small
<|end_body_0|>
<|body_start_1|>
if carType == 1:
self.b -= 1
n = self.b
elif carType == 2:
self.m -= 1
n = self.m
elif carType == 3:
self.s -= 1
... | 感觉只需要三个数就可以满足要求了 每次入车，车辆上限减一即可 因为这个系统完全不成熟，也没有出车的函数，所以我也不考虑得那么完善 210319 | ParkingSystem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParkingSystem:
"""感觉只需要三个数就可以满足要求了 每次入车，车辆上限减一即可 因为这个系统完全不成熟，也没有出车的函数，所以我也不考虑得那么完善 210319"""
def __init__(self, big, medium, small):
""":type big: int :type medium: int :type small: int"""
<|body_0|>
def addCar(self, carType):
""":type carType: int :rtype: bool""... | stack_v2_sparse_classes_75kplus_train_004471 | 1,001 | no_license | [
{
"docstring": ":type big: int :type medium: int :type small: int",
"name": "__init__",
"signature": "def __init__(self, big, medium, small)"
},
{
"docstring": ":type carType: int :rtype: bool",
"name": "addCar",
"signature": "def addCar(self, carType)"
}
] | 2 | stack_v2_sparse_classes_30k_train_050904 | Implement the Python class `ParkingSystem` described below.
Class description:
感觉只需要三个数就可以满足要求了 每次入车，车辆上限减一即可 因为这个系统完全不成熟，也没有出车的函数，所以我也不考虑得那么完善 210319
Method signatures and docstrings:
- def __init__(self, big, medium, small): :type big: int :type medium: int :type small: int
- def addCar(self, carType): :type carTyp... | Implement the Python class `ParkingSystem` described below.
Class description:
感觉只需要三个数就可以满足要求了 每次入车，车辆上限减一即可 因为这个系统完全不成熟，也没有出车的函数，所以我也不考虑得那么完善 210319
Method signatures and docstrings:
- def __init__(self, big, medium, small): :type big: int :type medium: int :type small: int
- def addCar(self, carType): :type carTyp... | 7167f1a7c6cb16cca63675c80037682752ee2a7d | <|skeleton|>
class ParkingSystem:
"""感觉只需要三个数就可以满足要求了 每次入车，车辆上限减一即可 因为这个系统完全不成熟，也没有出车的函数，所以我也不考虑得那么完善 210319"""
def __init__(self, big, medium, small):
""":type big: int :type medium: int :type small: int"""
<|body_0|>
def addCar(self, carType):
""":type carType: int :rtype: bool""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ParkingSystem:
"""感觉只需要三个数就可以满足要求了 每次入车，车辆上限减一即可 因为这个系统完全不成熟，也没有出车的函数，所以我也不考虑得那么完善 210319"""
def __init__(self, big, medium, small):
""":type big: int :type medium: int :type small: int"""
self.b = big
self.m = medium
self.s = small
def addCar(self, carType):
... | the_stack_v2_python_sparse | Everyday/No1603.py | kikihiter/LeetCode2 | train | 4 |
4a53aa4da9f70b968fd61ce41cd1fc8d90ef6881 | [
"self.sen_len = sen_len\nself.encoding_dim = encoding_dim\nself.autoencoder = None\nself.encoder = None\nself.kmeanmodel = KMeans(n_clusters=2)\nself.epoch = epoch",
"x_train = self.preprocess(x, length=self.sen_len)\ninput_text = Input(shape=(self.sen_len,))\nencoded = Dense(1024, activation='tanh')(input_text)\... | <|body_start_0|>
self.sen_len = sen_len
self.encoding_dim = encoding_dim
self.autoencoder = None
self.encoder = None
self.kmeanmodel = KMeans(n_clusters=2)
self.epoch = epoch
<|end_body_0|>
<|body_start_1|>
x_train = self.preprocess(x, length=self.sen_len)
... | 基于字符的Autoencoder. | ASCIIAutoencoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ASCIIAutoencoder:
"""基于字符的Autoencoder."""
def __init__(self, sen_len=512, encoding_dim=32, epoch=50, val_ratio=0.3):
"""Init. :param sen_len:把sentences pad成相同的⻓度 :param encoding_dim:压缩后的维度dim :param epoch:要跑多少epoch :param kmeanmodel:简单的KNN clustering模型"""
<|body_0|>
def ... | stack_v2_sparse_classes_75kplus_train_004472 | 3,269 | no_license | [
{
"docstring": "Init. :param sen_len:把sentences pad成相同的⻓度 :param encoding_dim:压缩后的维度dim :param epoch:要跑多少epoch :param kmeanmodel:简单的KNN clustering模型",
"name": "__init__",
"signature": "def __init__(self, sen_len=512, encoding_dim=32, epoch=50, val_ratio=0.3)"
},
{
"docstring": "模型构建。 :param x: i... | 2 | stack_v2_sparse_classes_30k_train_020123 | Implement the Python class `ASCIIAutoencoder` described below.
Class description:
基于字符的Autoencoder.
Method signatures and docstrings:
- def __init__(self, sen_len=512, encoding_dim=32, epoch=50, val_ratio=0.3): Init. :param sen_len:把sentences pad成相同的⻓度 :param encoding_dim:压缩后的维度dim :param epoch:要跑多少epoch :param kmean... | Implement the Python class `ASCIIAutoencoder` described below.
Class description:
基于字符的Autoencoder.
Method signatures and docstrings:
- def __init__(self, sen_len=512, encoding_dim=32, epoch=50, val_ratio=0.3): Init. :param sen_len:把sentences pad成相同的⻓度 :param encoding_dim:压缩后的维度dim :param epoch:要跑多少epoch :param kmean... | 997d7617674019d3f6563e6370b1b36ddd3df7ea | <|skeleton|>
class ASCIIAutoencoder:
"""基于字符的Autoencoder."""
def __init__(self, sen_len=512, encoding_dim=32, epoch=50, val_ratio=0.3):
"""Init. :param sen_len:把sentences pad成相同的⻓度 :param encoding_dim:压缩后的维度dim :param epoch:要跑多少epoch :param kmeanmodel:简单的KNN clustering模型"""
<|body_0|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ASCIIAutoencoder:
"""基于字符的Autoencoder."""
def __init__(self, sen_len=512, encoding_dim=32, epoch=50, val_ratio=0.3):
"""Init. :param sen_len:把sentences pad成相同的⻓度 :param encoding_dim:压缩后的维度dim :param epoch:要跑多少epoch :param kmeanmodel:简单的KNN clustering模型"""
self.sen_len = sen_len
se... | the_stack_v2_python_sparse | ChatRobot/NLP/Auto-Encoder/Auto-Encoder.py | zhengruiguo/Python_Project | train | 0 |
6116a1789235143236bd25ad2f695cbc06b922d0 | [
"count = {0: 0, 1: 0, 2: 0}\nfor i in nums:\n if i == 0:\n count[0] += 1\n elif i == 1:\n count[1] += 1\n else:\n count[2] += 1\ni = 0\nfor cur in range(3):\n for j in range(count[cur]):\n nums[i] = cur\n i += 1",
"p0 = curr = 0\np2 = len(nums) - 1\nwhile curr <= p2:... | <|body_start_0|>
count = {0: 0, 1: 0, 2: 0}
for i in nums:
if i == 0:
count[0] += 1
elif i == 1:
count[1] += 1
else:
count[2] += 1
i = 0
for cur in range(3):
for j in range(count[cur]):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def sortColors(self, nums) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def sortColors(self, nums) -> None:
"""一次遍历即可"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
count = {0: 0, 1: 0, 2: 0}
for... | stack_v2_sparse_classes_75kplus_train_004473 | 1,820 | no_license | [
{
"docstring": "Do not return anything, modify nums in-place instead.",
"name": "sortColors",
"signature": "def sortColors(self, nums) -> None"
},
{
"docstring": "一次遍历即可",
"name": "sortColors",
"signature": "def sortColors(self, nums) -> None"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortColors(self, nums) -> None: Do not return anything, modify nums in-place instead.
- def sortColors(self, nums) -> None: 一次遍历即可 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortColors(self, nums) -> None: Do not return anything, modify nums in-place instead.
- def sortColors(self, nums) -> None: 一次遍历即可
<|skeleton|>
class Solution:
def sort... | 13e7ec9fe7a92ab13b247bd4edeb1ada5de81a08 | <|skeleton|>
class Solution:
def sortColors(self, nums) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def sortColors(self, nums) -> None:
"""一次遍历即可"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def sortColors(self, nums) -> None:
"""Do not return anything, modify nums in-place instead."""
count = {0: 0, 1: 0, 2: 0}
for i in nums:
if i == 0:
count[0] += 1
elif i == 1:
count[1] += 1
else:
... | the_stack_v2_python_sparse | Algorithms/75_Sort_Colors/Sort_Colors.py | lirui-ML/my_leetcode | train | 1 | |
18cc873cffa0266534dae3894a133718fbdcbbc7 | [
"last_time = db.session.query(func.max(Article.create_date).label('max_time')).one().max_time\nyear = date_maker.year(last_time)\nreturn year",
"first_time = db.session.query(func.min(Article.create_date).label('min_time')).one().min_time\nfirst_year = date_maker.year(first_time)\nreturn first_year",
"first = s... | <|body_start_0|>
last_time = db.session.query(func.max(Article.create_date).label('max_time')).one().max_time
year = date_maker.year(last_time)
return year
<|end_body_0|>
<|body_start_1|>
first_time = db.session.query(func.min(Article.create_date).label('min_time')).one().min_time
... | GetArchiveCtrl | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetArchiveCtrl:
def last_create_time():
"""最晚创建时间 :return:"""
<|body_0|>
def first_create_time():
"""最早创建时间 :return:"""
<|body_1|>
def extract_post_with_year_and_month(self, order_desc=True):
"""按照年、月筛选博文 :param order_desc: bool,排序方式，默认按照时间倒序 :re... | stack_v2_sparse_classes_75kplus_train_004474 | 2,805 | permissive | [
{
"docstring": "最晚创建时间 :return:",
"name": "last_create_time",
"signature": "def last_create_time()"
},
{
"docstring": "最早创建时间 :return:",
"name": "first_create_time",
"signature": "def first_create_time()"
},
{
"docstring": "按照年、月筛选博文 :param order_desc: bool,排序方式，默认按照时间倒序 :return:... | 4 | stack_v2_sparse_classes_30k_train_018127 | Implement the Python class `GetArchiveCtrl` described below.
Class description:
Implement the GetArchiveCtrl class.
Method signatures and docstrings:
- def last_create_time(): 最晚创建时间 :return:
- def first_create_time(): 最早创建时间 :return:
- def extract_post_with_year_and_month(self, order_desc=True): 按照年、月筛选博文 :param ord... | Implement the Python class `GetArchiveCtrl` described below.
Class description:
Implement the GetArchiveCtrl class.
Method signatures and docstrings:
- def last_create_time(): 最晚创建时间 :return:
- def first_create_time(): 最早创建时间 :return:
- def extract_post_with_year_and_month(self, order_desc=True): 按照年、月筛选博文 :param ord... | 7faec2cd705659062a05787d26c307ff8ff2c055 | <|skeleton|>
class GetArchiveCtrl:
def last_create_time():
"""最晚创建时间 :return:"""
<|body_0|>
def first_create_time():
"""最早创建时间 :return:"""
<|body_1|>
def extract_post_with_year_and_month(self, order_desc=True):
"""按照年、月筛选博文 :param order_desc: bool,排序方式，默认按照时间倒序 :re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GetArchiveCtrl:
def last_create_time():
"""最晚创建时间 :return:"""
last_time = db.session.query(func.max(Article.create_date).label('max_time')).one().max_time
year = date_maker.year(last_time)
return year
def first_create_time():
"""最早创建时间 :return:"""
first_tim... | the_stack_v2_python_sparse | back/controller/archives.py | imoyao/idealyard | train | 159 | |
989793b27ec9800cdbe94db42a5741762ab44729 | [
"super().__init__(fl_model, data_handler, hyperparams, **kwargs)\ntrain_data, test_data = data_handler.get_data() or (None, None)\nenv_class_ref = data_handler.get_env_class_ref()\nif not inspect.isclass(env_class_ref):\n raise ValueError('Environment reference should be a class reference and not an instance')\n... | <|body_start_0|>
super().__init__(fl_model, data_handler, hyperparams, **kwargs)
train_data, test_data = data_handler.get_data() or (None, None)
env_class_ref = data_handler.get_env_class_ref()
if not inspect.isclass(env_class_ref):
raise ValueError('Environment reference sho... | Local training handler for RL | RLLocalTrainingHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RLLocalTrainingHandler:
"""Local training handler for RL"""
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler:... | stack_v2_sparse_classes_75kplus_train_004475 | 3,100 | permissive | [
{
"docstring": "Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to obtain data and environment reference :type data_handler: `DataHandler` :param hyperparams: Hyperparameters used... | 3 | stack_v2_sparse_classes_30k_train_029854 | Implement the Python class `RLLocalTrainingHandler` described below.
Class description:
Local training handler for RL
Method signatures and docstrings:
- def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs): Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be tra... | Implement the Python class `RLLocalTrainingHandler` described below.
Class description:
Local training handler for RL
Method signatures and docstrings:
- def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs): Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be tra... | 64ffa2ee2e906b1bd6b3dd6aabcf6fc3de862608 | <|skeleton|>
class RLLocalTrainingHandler:
"""Local training handler for RL"""
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RLLocalTrainingHandler:
"""Local training handler for RL"""
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler... | the_stack_v2_python_sparse | debugging-constructs/ibmfl/party/training/rl_local_training_handler.py | SEED-VT/FedDebug | train | 8 |
e79ea0ba090ace826ae05528a567088197f7861a | [
"if path.endswith('/'):\n path = path[:-1]\nreturn Bip32PathParser.__ParseElements(list(filter(None, path.split('/'))))",
"if len(path_elems) > 0 and path_elems[0] == Bip32PathConst.MASTER_CHAR:\n path_elems = path_elems[1:]\n is_absolute = True\nelse:\n is_absolute = False\nparsed_elems = list(map(Bi... | <|body_start_0|>
if path.endswith('/'):
path = path[:-1]
return Bip32PathParser.__ParseElements(list(filter(None, path.split('/'))))
<|end_body_0|>
<|body_start_1|>
if len(path_elems) > 0 and path_elems[0] == Bip32PathConst.MASTER_CHAR:
path_elems = path_elems[1:]
... | BIP32 path parser class. It parses a BIP-0032 path and returns a Bip32Path object. | Bip32PathParser | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bip32PathParser:
"""BIP32 path parser class. It parses a BIP-0032 path and returns a Bip32Path object."""
def Parse(path: str) -> Bip32Path:
"""Parse a path and return a Bip32Path object. Args: path (str): Path Returns: Bip32Path object: Bip32Path object Raises: Bip32PathError: If th... | stack_v2_sparse_classes_75kplus_train_004476 | 7,181 | permissive | [
{
"docstring": "Parse a path and return a Bip32Path object. Args: path (str): Path Returns: Bip32Path object: Bip32Path object Raises: Bip32PathError: If the path is not valid",
"name": "Parse",
"signature": "def Parse(path: str) -> Bip32Path"
},
{
"docstring": "Parse path elements and return a ... | 3 | stack_v2_sparse_classes_30k_train_050382 | Implement the Python class `Bip32PathParser` described below.
Class description:
BIP32 path parser class. It parses a BIP-0032 path and returns a Bip32Path object.
Method signatures and docstrings:
- def Parse(path: str) -> Bip32Path: Parse a path and return a Bip32Path object. Args: path (str): Path Returns: Bip32Pa... | Implement the Python class `Bip32PathParser` described below.
Class description:
BIP32 path parser class. It parses a BIP-0032 path and returns a Bip32Path object.
Method signatures and docstrings:
- def Parse(path: str) -> Bip32Path: Parse a path and return a Bip32Path object. Args: path (str): Path Returns: Bip32Pa... | d15c75ddd74e4838c396a0d036ef6faf11b06a4b | <|skeleton|>
class Bip32PathParser:
"""BIP32 path parser class. It parses a BIP-0032 path and returns a Bip32Path object."""
def Parse(path: str) -> Bip32Path:
"""Parse a path and return a Bip32Path object. Args: path (str): Path Returns: Bip32Path object: Bip32Path object Raises: Bip32PathError: If th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Bip32PathParser:
"""BIP32 path parser class. It parses a BIP-0032 path and returns a Bip32Path object."""
def Parse(path: str) -> Bip32Path:
"""Parse a path and return a Bip32Path object. Args: path (str): Path Returns: Bip32Path object: Bip32Path object Raises: Bip32PathError: If the path is not... | the_stack_v2_python_sparse | bip_utils/bip/bip32/bip32_path.py | ebellocchia/bip_utils | train | 244 |
58953c5910dee224e691f3be8b79716d30d77171 | [
"def dfs(nd):\n if nd:\n s.add(nd.val)\n dfs(nd.left)\n dfs(nd.right)\ns = set()\ndfs(root)\nret = float('inf')\nfor v in s:\n if v > root.val and v < ret:\n ret = v\nif ret < float('inf'):\n return ret\nelse:\n return -1",
"self.ret = float('inf')\n\ndef dfs(nd):\n if n... | <|body_start_0|>
def dfs(nd):
if nd:
s.add(nd.val)
dfs(nd.left)
dfs(nd.right)
s = set()
dfs(root)
ret = float('inf')
for v in s:
if v > root.val and v < ret:
ret = v
if ret < float('in... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findSecondMinimumValue1(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def findSecondMinimumValue2(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def dfs(nd):
... | stack_v2_sparse_classes_75kplus_train_004477 | 1,646 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "findSecondMinimumValue1",
"signature": "def findSecondMinimumValue1(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "findSecondMinimumValue2",
"signature": "def findSecondMinimumValue2(self, root)"
}... | 2 | stack_v2_sparse_classes_30k_train_014757 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findSecondMinimumValue1(self, root): :type root: TreeNode :rtype: int
- def findSecondMinimumValue2(self, root): :type root: TreeNode :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findSecondMinimumValue1(self, root): :type root: TreeNode :rtype: int
- def findSecondMinimumValue2(self, root): :type root: TreeNode :rtype: int
<|skeleton|>
class Solution... | d3e8669f932fc2e22711e8b7590d3365d020e189 | <|skeleton|>
class Solution:
def findSecondMinimumValue1(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def findSecondMinimumValue2(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findSecondMinimumValue1(self, root):
""":type root: TreeNode :rtype: int"""
def dfs(nd):
if nd:
s.add(nd.val)
dfs(nd.left)
dfs(nd.right)
s = set()
dfs(root)
ret = float('inf')
for v in s:
... | the_stack_v2_python_sparse | leetcode/671.py | liuweilin17/algorithm | train | 3 | |
81566d03b343c74dfea384fb5bcdd5eb05be66be | [
"index = 'test_index'\nsketch_id = 1\nanalyzer = SessionizerSketchPlugin(index, sketch_id)\nanalyzer.datastore.client = mock.Mock()\ndatastore = analyzer.datastore\n_create_mock_event(datastore, 0, 3, time_diffs=[3000, 400000000])\nmessage = analyzer.run()\nself.assertEqual(message, 'Sessionizing completed, number ... | <|body_start_0|>
index = 'test_index'
sketch_id = 1
analyzer = SessionizerSketchPlugin(index, sketch_id)
analyzer.datastore.client = mock.Mock()
datastore = analyzer.datastore
_create_mock_event(datastore, 0, 3, time_diffs=[3000, 400000000])
message = analyzer.run... | Tests the functionality of the sessionizing sketch analyzer, focusing on edge cases. | TestSessionizerPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSessionizerPlugin:
"""Tests the functionality of the sessionizing sketch analyzer, focusing on edge cases."""
def test_multiple_sessions(self):
"""Test multiple events, two of which are in the same session and one in a different session."""
<|body_0|>
def test_zero_t... | stack_v2_sparse_classes_75kplus_train_004478 | 4,019 | permissive | [
{
"docstring": "Test multiple events, two of which are in the same session and one in a different session.",
"name": "test_multiple_sessions",
"signature": "def test_multiple_sessions(self)"
},
{
"docstring": "Test events with no time difference between them are allocated correctly.",
"name"... | 4 | stack_v2_sparse_classes_30k_train_002656 | Implement the Python class `TestSessionizerPlugin` described below.
Class description:
Tests the functionality of the sessionizing sketch analyzer, focusing on edge cases.
Method signatures and docstrings:
- def test_multiple_sessions(self): Test multiple events, two of which are in the same session and one in a diff... | Implement the Python class `TestSessionizerPlugin` described below.
Class description:
Tests the functionality of the sessionizing sketch analyzer, focusing on edge cases.
Method signatures and docstrings:
- def test_multiple_sessions(self): Test multiple events, two of which are in the same session and one in a diff... | 24f471b58ca4a87cb053961b5f05c07a544ca7b8 | <|skeleton|>
class TestSessionizerPlugin:
"""Tests the functionality of the sessionizing sketch analyzer, focusing on edge cases."""
def test_multiple_sessions(self):
"""Test multiple events, two of which are in the same session and one in a different session."""
<|body_0|>
def test_zero_t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestSessionizerPlugin:
"""Tests the functionality of the sessionizing sketch analyzer, focusing on edge cases."""
def test_multiple_sessions(self):
"""Test multiple events, two of which are in the same session and one in a different session."""
index = 'test_index'
sketch_id = 1
... | the_stack_v2_python_sparse | timesketch/lib/analyzers/sessionizer_test.py | google/timesketch | train | 2,263 |
f2f9470b16140013b76c537a7f7386088a62a3ef | [
"suggestions_grouped_by_target = self.pipeline | 'Get all non-deleted suggestion models' >> ndb_io.GetModels(suggestion_models.GeneralSuggestionModel.get_all(include_deleted=False)) | 'Filter translate suggestions' >> beam.Filter(lambda m: m.suggestion_type == feconf.SUGGESTION_TYPE_TRANSLATE_CONTENT) | 'Transform ... | <|body_start_0|>
suggestions_grouped_by_target = self.pipeline | 'Get all non-deleted suggestion models' >> ndb_io.GetModels(suggestion_models.GeneralSuggestionModel.get_all(include_deleted=False)) | 'Filter translate suggestions' >> beam.Filter(lambda m: m.suggestion_type == feconf.SUGGESTION_TYPE_TRANSLATE_CO... | Job that indexes the explorations in Elastic Search. | GenerateTranslationContributionStats | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GenerateTranslationContributionStats:
"""Job that indexes the explorations in Elastic Search."""
def run(self) -> beam.PCollection[job_run_result.JobRunResult]:
"""Generates the translation contributins stats. Returns: PCollection. A PCollection of 'SUCCESS x' results, where x is the... | stack_v2_sparse_classes_75kplus_train_004479 | 26,368 | permissive | [
{
"docstring": "Generates the translation contributins stats. Returns: PCollection. A PCollection of 'SUCCESS x' results, where x is the number of generated stats..",
"name": "run",
"signature": "def run(self) -> beam.PCollection[job_run_result.JobRunResult]"
},
{
"docstring": "Generates transla... | 3 | stack_v2_sparse_classes_30k_train_038937 | Implement the Python class `GenerateTranslationContributionStats` described below.
Class description:
Job that indexes the explorations in Elastic Search.
Method signatures and docstrings:
- def run(self) -> beam.PCollection[job_run_result.JobRunResult]: Generates the translation contributins stats. Returns: PCollect... | Implement the Python class `GenerateTranslationContributionStats` described below.
Class description:
Job that indexes the explorations in Elastic Search.
Method signatures and docstrings:
- def run(self) -> beam.PCollection[job_run_result.JobRunResult]: Generates the translation contributins stats. Returns: PCollect... | 2862b7da750ce332c975b64237791f96189d7aa8 | <|skeleton|>
class GenerateTranslationContributionStats:
"""Job that indexes the explorations in Elastic Search."""
def run(self) -> beam.PCollection[job_run_result.JobRunResult]:
"""Generates the translation contributins stats. Returns: PCollection. A PCollection of 'SUCCESS x' results, where x is the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GenerateTranslationContributionStats:
"""Job that indexes the explorations in Elastic Search."""
def run(self) -> beam.PCollection[job_run_result.JobRunResult]:
"""Generates the translation contributins stats. Returns: PCollection. A PCollection of 'SUCCESS x' results, where x is the number of ge... | the_stack_v2_python_sparse | core/jobs/batch_jobs/cron_jobs.py | FareesHussain/oppia | train | 2 |
26c33ec77c16085c7f7e677efaea8f76732eff79 | [
"try:\n branch = Branch.objects.get(id=kwargs['branch_id'], repository_id=kwargs['repository_id'])\nexcept Branch.DoesNotExist:\n raise Http404\nsuper(BranchDetail, self).check_permissions(request, branch)\nreturn branch",
"branch = self.get_object(request, branch_id=kwargs['branch_id'], repository_id=kwarg... | <|body_start_0|>
try:
branch = Branch.objects.get(id=kwargs['branch_id'], repository_id=kwargs['repository_id'])
except Branch.DoesNotExist:
raise Http404
super(BranchDetail, self).check_permissions(request, branch)
return branch
<|end_body_0|>
<|body_start_1|>
... | This view handle all requests what comes on endpoint repositories/(?P<repository_id>[0-9]+)/branches/(?P<branch_id>[0-9]+)/$ | BranchDetail | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BranchDetail:
"""This view handle all requests what comes on endpoint repositories/(?P<repository_id>[0-9]+)/branches/(?P<branch_id>[0-9]+)/$"""
def get_object(self, request, *args, **kwargs) -> Branch:
"""Trying to find branch by branch and repository id in database and return them ... | stack_v2_sparse_classes_75kplus_train_004480 | 4,560 | permissive | [
{
"docstring": "Trying to find branch by branch and repository id in database and return them :param args: other parameters :param kwargs: dict parsed url variables {\"branch_id\": \"id\", \"repository_id\":\"id\"} :return: Branch object or DoesNotExist exception :raise Branch.DoesNotExist",
"name": "get_ob... | 3 | stack_v2_sparse_classes_30k_train_036432 | Implement the Python class `BranchDetail` described below.
Class description:
This view handle all requests what comes on endpoint repositories/(?P<repository_id>[0-9]+)/branches/(?P<branch_id>[0-9]+)/$
Method signatures and docstrings:
- def get_object(self, request, *args, **kwargs) -> Branch: Trying to find branch... | Implement the Python class `BranchDetail` described below.
Class description:
This view handle all requests what comes on endpoint repositories/(?P<repository_id>[0-9]+)/branches/(?P<branch_id>[0-9]+)/$
Method signatures and docstrings:
- def get_object(self, request, *args, **kwargs) -> Branch: Trying to find branch... | fdb911dfafbd2609b7f96561ab6780b4131a77bd | <|skeleton|>
class BranchDetail:
"""This view handle all requests what comes on endpoint repositories/(?P<repository_id>[0-9]+)/branches/(?P<branch_id>[0-9]+)/$"""
def get_object(self, request, *args, **kwargs) -> Branch:
"""Trying to find branch by branch and repository id in database and return them ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BranchDetail:
"""This view handle all requests what comes on endpoint repositories/(?P<repository_id>[0-9]+)/branches/(?P<branch_id>[0-9]+)/$"""
def get_object(self, request, *args, **kwargs) -> Branch:
"""Trying to find branch by branch and repository id in database and return them :param args: ... | the_stack_v2_python_sparse | branches/views.py | Kh-011-WebUIPython/lit | train | 4 |
4e7f9becb2574ef5a700afa0fdccc08f8e4ed8a8 | [
"self.assertEqual(is_prime(78), False)\nself.assertEqual(is_prime(7), True)\nself.assertEqual(is_prime(21), False)",
"self.assertEqual(is_perfect(6), True)\nself.assertEqual(is_perfect(496), True)\nself.assertEqual(is_perfect(189), False)"
] | <|body_start_0|>
self.assertEqual(is_prime(78), False)
self.assertEqual(is_prime(7), True)
self.assertEqual(is_prime(21), False)
<|end_body_0|>
<|body_start_1|>
self.assertEqual(is_perfect(6), True)
self.assertEqual(is_perfect(496), True)
self.assertEqual(is_perfect(189)... | is_prime function tests. | PrimalityTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrimalityTest:
"""is_prime function tests."""
def test_is_prime(self):
"""Test some small hand picked example."""
<|body_0|>
def test_is_perfect(self):
"""Test some small hand picked example."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.... | stack_v2_sparse_classes_75kplus_train_004481 | 1,490 | no_license | [
{
"docstring": "Test some small hand picked example.",
"name": "test_is_prime",
"signature": "def test_is_prime(self)"
},
{
"docstring": "Test some small hand picked example.",
"name": "test_is_perfect",
"signature": "def test_is_perfect(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_026831 | Implement the Python class `PrimalityTest` described below.
Class description:
is_prime function tests.
Method signatures and docstrings:
- def test_is_prime(self): Test some small hand picked example.
- def test_is_perfect(self): Test some small hand picked example. | Implement the Python class `PrimalityTest` described below.
Class description:
is_prime function tests.
Method signatures and docstrings:
- def test_is_prime(self): Test some small hand picked example.
- def test_is_perfect(self): Test some small hand picked example.
<|skeleton|>
class PrimalityTest:
"""is_prime... | 662eed857389fa9bb4dea01458bc43a705768a3c | <|skeleton|>
class PrimalityTest:
"""is_prime function tests."""
def test_is_prime(self):
"""Test some small hand picked example."""
<|body_0|>
def test_is_perfect(self):
"""Test some small hand picked example."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrimalityTest:
"""is_prime function tests."""
def test_is_prime(self):
"""Test some small hand picked example."""
self.assertEqual(is_prime(78), False)
self.assertEqual(is_prime(7), True)
self.assertEqual(is_prime(21), False)
def test_is_perfect(self):
"""Test... | the_stack_v2_python_sparse | home/kolszak/primality.py | anagorko/inf | train | 0 |
47bce94e33187688a662bbcf97a6622c8523fc25 | [
"if not nums:\n return 0\ni = 0\nwhile i < len(nums):\n if val == nums[i]:\n nums.remove(val)\n i -= 1\n i += 1\nreturn len(nums)",
"cur = 0\nfor i in range(len(nums)):\n if nums[i] != val:\n nums[cur] = nums[i]\n cur += 1\nreturn cur"
] | <|body_start_0|>
if not nums:
return 0
i = 0
while i < len(nums):
if val == nums[i]:
nums.remove(val)
i -= 1
i += 1
return len(nums)
<|end_body_0|>
<|body_start_1|>
cur = 0
for i in range(len(nums)):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeElement(self, nums, val):
""":type nums: List[int] :type val: int :rtype: int"""
<|body_0|>
def removeElement2(self, nums, val):
""":type nums: List[int] :type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_004482 | 879 | no_license | [
{
"docstring": ":type nums: List[int] :type val: int :rtype: int",
"name": "removeElement",
"signature": "def removeElement(self, nums, val)"
},
{
"docstring": ":type nums: List[int] :type val: int :rtype: int",
"name": "removeElement2",
"signature": "def removeElement2(self, nums, val)"... | 2 | stack_v2_sparse_classes_30k_train_033264 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElement(self, nums, val): :type nums: List[int] :type val: int :rtype: int
- def removeElement2(self, nums, val): :type nums: List[int] :type val: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElement(self, nums, val): :type nums: List[int] :type val: int :rtype: int
- def removeElement2(self, nums, val): :type nums: List[int] :type val: int :rtype: int
<|sk... | bd8df12c0d4afd048cf1b58b04c27fa1f3622769 | <|skeleton|>
class Solution:
def removeElement(self, nums, val):
""":type nums: List[int] :type val: int :rtype: int"""
<|body_0|>
def removeElement2(self, nums, val):
""":type nums: List[int] :type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def removeElement(self, nums, val):
""":type nums: List[int] :type val: int :rtype: int"""
if not nums:
return 0
i = 0
while i < len(nums):
if val == nums[i]:
nums.remove(val)
i -= 1
i += 1
re... | the_stack_v2_python_sparse | 27_remove_element.py | aojugg/leetcode | train | 0 | |
e64a288b62eef565085dc358921a209b1fd4eb0e | [
"assert isinstance(type, Type), 'Invalid object type %s' % type\nassert value is not None, 'Provide an object value'\nif type.isOf(str):\n return value\nif type.isOf(int) or type.isOf(float):\n return str(value)\nif type.isOf(bool):\n return 'true' if value is True else 'false'\nif type.isOf(datetime):\n ... | <|body_start_0|>
assert isinstance(type, Type), 'Invalid object type %s' % type
assert value is not None, 'Provide an object value'
if type.isOf(str):
return value
if type.isOf(int) or type.isOf(float):
return str(value)
if type.isOf(bool):
ret... | Provides the conversion of primitive types to strings in vice versa. The converter provides basic conversion, please extend for more complex or custom transformation. | Converter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Converter:
"""Provides the conversion of primitive types to strings in vice versa. The converter provides basic conversion, please extend for more complex or custom transformation."""
def asString(self, value, type):
"""Converts the provided object to a string. First it will detect t... | stack_v2_sparse_classes_75kplus_train_004483 | 3,289 | no_license | [
{
"docstring": "Converts the provided object to a string. First it will detect the type and based on that it will call the corresponding convert method. @param value: object The value to be converted to string. @param type: Type The type of object to convert the string to. @return: string The string form of the... | 2 | stack_v2_sparse_classes_30k_train_027577 | Implement the Python class `Converter` described below.
Class description:
Provides the conversion of primitive types to strings in vice versa. The converter provides basic conversion, please extend for more complex or custom transformation.
Method signatures and docstrings:
- def asString(self, value, type): Convert... | Implement the Python class `Converter` described below.
Class description:
Provides the conversion of primitive types to strings in vice versa. The converter provides basic conversion, please extend for more complex or custom transformation.
Method signatures and docstrings:
- def asString(self, value, type): Convert... | e0b3466b34d31548996d57be4a9dac134d904380 | <|skeleton|>
class Converter:
"""Provides the conversion of primitive types to strings in vice versa. The converter provides basic conversion, please extend for more complex or custom transformation."""
def asString(self, value, type):
"""Converts the provided object to a string. First it will detect t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Converter:
"""Provides the conversion of primitive types to strings in vice versa. The converter provides basic conversion, please extend for more complex or custom transformation."""
def asString(self, value, type):
"""Converts the provided object to a string. First it will detect the type and b... | the_stack_v2_python_sparse | components/ally-core/ally/core/spec/resources.py | cristidomsa/Ally-Py | train | 0 |
356865ed511d54a2f02223ad1556d14a0c255e83 | [
"self.path_to_raster = base_raster_file\nself.path_agg_raster = '../tmp/local_raster.tif'\nself.x_size, self.top_left_x_coords, self.top_left_y_coords, self.centroid_x_coords, self.centroid_y_coords, self.bands_data = self._read_raster(self.path_to_raster)\nif lon is not None:\n self.lon, self.lat = (lon, lat)\n... | <|body_start_0|>
self.path_to_raster = base_raster_file
self.path_agg_raster = '../tmp/local_raster.tif'
self.x_size, self.top_left_x_coords, self.top_left_y_coords, self.centroid_x_coords, self.centroid_y_coords, self.bands_data = self._read_raster(self.path_to_raster)
if lon is not Non... | Class that handles the geometries and data. We use a raster as input to define the geo-spatial attributes of our data. Attributes: path_to_raster (str): path to existing raster file. x_size (float): size of a pixel in degrees. top_left_x_coords (array): longitudes for the top left corner of each pixel. self.top_left_y_... | BaseLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseLayer:
"""Class that handles the geometries and data. We use a raster as input to define the geo-spatial attributes of our data. Attributes: path_to_raster (str): path to existing raster file. x_size (float): size of a pixel in degrees. top_left_x_coords (array): longitudes for the top left c... | stack_v2_sparse_classes_75kplus_train_004484 | 5,866 | permissive | [
{
"docstring": "Args: base_raster_file (str): path to the .tif raster to use. lon (list): list of longitudes of the survey. lat (list): list of latitudes of the survey.",
"name": "__init__",
"signature": "def __init__(self, base_raster_file, lon=None, lat=None)"
},
{
"docstring": "takes lon lat ... | 5 | stack_v2_sparse_classes_30k_train_033999 | Implement the Python class `BaseLayer` described below.
Class description:
Class that handles the geometries and data. We use a raster as input to define the geo-spatial attributes of our data. Attributes: path_to_raster (str): path to existing raster file. x_size (float): size of a pixel in degrees. top_left_x_coords... | Implement the Python class `BaseLayer` described below.
Class description:
Class that handles the geometries and data. We use a raster as input to define the geo-spatial attributes of our data. Attributes: path_to_raster (str): path to existing raster file. x_size (float): size of a pixel in degrees. top_left_x_coords... | 7f54196ae10e1b3712d4907c9ddd202b56eb3606 | <|skeleton|>
class BaseLayer:
"""Class that handles the geometries and data. We use a raster as input to define the geo-spatial attributes of our data. Attributes: path_to_raster (str): path to existing raster file. x_size (float): size of a pixel in degrees. top_left_x_coords (array): longitudes for the top left c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseLayer:
"""Class that handles the geometries and data. We use a raster as input to define the geo-spatial attributes of our data. Attributes: path_to_raster (str): path to existing raster file. x_size (float): size of a pixel in degrees. top_left_x_coords (array): longitudes for the top left corner of each... | the_stack_v2_python_sparse | Src/base_layer.py | alexnwoko/HRM | train | 0 |
68dfc0f950ba4cc07bbbcb9aec5ed9e8631ede51 | [
"CtrlDev.__init__(self, parent)\nself._name = u'Memória'\nself._category = 'Sistema'\nself._diag = DiagMemory(self)\nself._compat = CompatMemory(self)\nself._guiClass = GUIMemory",
"self._callInfo()\nself._callCompat()\nself._callDiag()"
] | <|body_start_0|>
CtrlDev.__init__(self, parent)
self._name = u'Memória'
self._category = 'Sistema'
self._diag = DiagMemory(self)
self._compat = CompatMemory(self)
self._guiClass = GUIMemory
<|end_body_0|>
<|body_start_1|>
self._callInfo()
self._callCompat... | Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificação, compatibilidade, diagnóstico e cria a tela de exibição. | CtrlMemory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CtrlMemory:
"""Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificação, compatibilidade, diagnóstico e cria a tela de exibição."""
def __init__(self, parent):
"""Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe ba... | stack_v2_sparse_classes_75kplus_train_004485 | 1,202 | no_license | [
{
"docstring": "Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe base 'CtrlDev'.",
"name": "__init__",
"signature": "def __init__(self, parent)"
},
{
"docstring": "Executa o info, compat, diag e cria as telas de exibição.",
"name": "execute_lib",
... | 2 | stack_v2_sparse_classes_30k_train_030615 | Implement the Python class `CtrlMemory` described below.
Class description:
Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificação, compatibilidade, diagnóstico e cria a tela de exibição.
Method signatures and docstrings:
- def __init__(self, parent): Construtor que inicializa os atributo... | Implement the Python class `CtrlMemory` described below.
Class description:
Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificação, compatibilidade, diagnóstico e cria a tela de exibição.
Method signatures and docstrings:
- def __init__(self, parent): Construtor que inicializa os atributo... | bda0c2c8977dd1246339f1f0f4718d29e8795f21 | <|skeleton|>
class CtrlMemory:
"""Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificação, compatibilidade, diagnóstico e cria a tela de exibição."""
def __init__(self, parent):
"""Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe ba... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CtrlMemory:
"""Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificação, compatibilidade, diagnóstico e cria a tela de exibição."""
def __init__(self, parent):
"""Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe base 'CtrlDev'.... | the_stack_v2_python_sparse | src/libs/memory/ctrl_memory.py | adrianomelo/ldc-desktop | train | 1 |
7d975d93ed707821b52c9d69343333b4283b4d6d | [
"super(FollowingFeatureAgent, self).__init__(data_collection_config, reward_config=None, model_config=None)\nfeatures[0]['visible'] = True\ndata_collection_config['data'] += features\nfollowed_data = create_data(features[0])\nself.feature_template = followed_data.feature_template",
"_, _, owned_stocks, _ = self.u... | <|body_start_0|>
super(FollowingFeatureAgent, self).__init__(data_collection_config, reward_config=None, model_config=None)
features[0]['visible'] = True
data_collection_config['data'] += features
followed_data = create_data(features[0])
self.feature_template = followed_data.feat... | An agent that tries to follow a feature as its poicy. e.g. if feature for STOCK_1 is > 0, than it will buy/hold STOCK_1. Otherwise it will sell STOCK_1. Note: This is example of non-reinforcement learning agent. | FollowingFeatureAgent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FollowingFeatureAgent:
"""An agent that tries to follow a feature as its poicy. e.g. if feature for STOCK_1 is > 0, than it will buy/hold STOCK_1. Otherwise it will sell STOCK_1. Note: This is example of non-reinforcement learning agent."""
def __init__(self, data_collection_config, reward_c... | stack_v2_sparse_classes_75kplus_train_004486 | 2,416 | permissive | [
{
"docstring": "Initializer for FollowingFeatureAgent class. Args: data_collection_config: configuration for the data collection used by the agent. reward_config: configuration for reward used by the agent. model_config: configuration for model used by the agent. features: list of data configs, the first one is... | 2 | null | Implement the Python class `FollowingFeatureAgent` described below.
Class description:
An agent that tries to follow a feature as its poicy. e.g. if feature for STOCK_1 is > 0, than it will buy/hold STOCK_1. Otherwise it will sell STOCK_1. Note: This is example of non-reinforcement learning agent.
Method signatures a... | Implement the Python class `FollowingFeatureAgent` described below.
Class description:
An agent that tries to follow a feature as its poicy. e.g. if feature for STOCK_1 is > 0, than it will buy/hold STOCK_1. Otherwise it will sell STOCK_1. Note: This is example of non-reinforcement learning agent.
Method signatures a... | 7161026b7b4deb78a934b66550c85a27c6b32933 | <|skeleton|>
class FollowingFeatureAgent:
"""An agent that tries to follow a feature as its poicy. e.g. if feature for STOCK_1 is > 0, than it will buy/hold STOCK_1. Otherwise it will sell STOCK_1. Note: This is example of non-reinforcement learning agent."""
def __init__(self, data_collection_config, reward_c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FollowingFeatureAgent:
"""An agent that tries to follow a feature as its poicy. e.g. if feature for STOCK_1 is > 0, than it will buy/hold STOCK_1. Otherwise it will sell STOCK_1. Note: This is example of non-reinforcement learning agent."""
def __init__(self, data_collection_config, reward_config, model_... | the_stack_v2_python_sparse | stock_trading_backend/agent/following_feature_agent.py | iryzhkov/stock-trading-backend | train | 1 |
6f2465aa1bd77860f9a3c0ef251a5cf7516c70cc | [
"if operation == OP_CREATE and (not hasattr(user.configuration, 'username') or user.configuration.username is None):\n validation_result = to_json_error(REQUIRED_FIELD_MESSAGE, None, 'username')\n return validation_result\nif not hasattr(user.configuration, 'password') or user.configuration.password is None:\... | <|body_start_0|>
if operation == OP_CREATE and (not hasattr(user.configuration, 'username') or user.configuration.username is None):
validation_result = to_json_error(REQUIRED_FIELD_MESSAGE, None, 'username')
return validation_result
if not hasattr(user.configuration, 'password')... | UserValidator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserValidator:
def __validate_required_fields__(self, user, operation):
"""Validate required user fields Returns None when valid else returns error json dict"""
<|body_0|>
def __validate_username__(self, username):
"""Validate username using a regular expression Retu... | stack_v2_sparse_classes_75kplus_train_004487 | 6,175 | permissive | [
{
"docstring": "Validate required user fields Returns None when valid else returns error json dict",
"name": "__validate_required_fields__",
"signature": "def __validate_required_fields__(self, user, operation)"
},
{
"docstring": "Validate username using a regular expression Returns None when va... | 5 | stack_v2_sparse_classes_30k_train_012518 | Implement the Python class `UserValidator` described below.
Class description:
Implement the UserValidator class.
Method signatures and docstrings:
- def __validate_required_fields__(self, user, operation): Validate required user fields Returns None when valid else returns error json dict
- def __validate_username__(... | Implement the Python class `UserValidator` described below.
Class description:
Implement the UserValidator class.
Method signatures and docstrings:
- def __validate_required_fields__(self, user, operation): Validate required user fields Returns None when valid else returns error json dict
- def __validate_username__(... | 46e34b5470182059ae5355b1d56a112c1a50d0ee | <|skeleton|>
class UserValidator:
def __validate_required_fields__(self, user, operation):
"""Validate required user fields Returns None when valid else returns error json dict"""
<|body_0|>
def __validate_username__(self, username):
"""Validate username using a regular expression Retu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserValidator:
def __validate_required_fields__(self, user, operation):
"""Validate required user fields Returns None when valid else returns error json dict"""
if operation == OP_CREATE and (not hasattr(user.configuration, 'username') or user.configuration.username is None):
valid... | the_stack_v2_python_sparse | opsrest/custom/user_validator.py | kuntaldaftary/ops-restd | train | 0 | |
9a6248b7639a9ff6d7f3e638405a88ff7b222123 | [
"self.timeout = config('DEFAULT_TIMEOUT')\nif 'timeout' in kwargs:\n self.timeout = kwargs['timeout']\n del kwargs['timeout']\nsuper().__init__(*args, **kwargs)",
"timeout_ = kwargs.get('timeout')\nif timeout_ is None:\n kwargs['timeout'] = self.timeout\nreturn super().send(request, **kwargs)"
] | <|body_start_0|>
self.timeout = config('DEFAULT_TIMEOUT')
if 'timeout' in kwargs:
self.timeout = kwargs['timeout']
del kwargs['timeout']
super().__init__(*args, **kwargs)
<|end_body_0|>
<|body_start_1|>
timeout_ = kwargs.get('timeout')
if timeout_ is None... | Nome : TimeoutHTTPAdapter Parametro_1 : HTTPAdapter Criada : junho-2021 Descrição : faz... ____________________________________________________________________________________________________ Todos direitos reservados à Magna Sistemas (▀̿̿Ĺ̯̿▀̿ ̿) | TimeoutHTTPAdapter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TimeoutHTTPAdapter:
"""Nome : TimeoutHTTPAdapter Parametro_1 : HTTPAdapter Criada : junho-2021 Descrição : faz... ____________________________________________________________________________________________________ Todos direitos reservados à Magna Sistemas (▀̿̿Ĺ̯̿▀̿ ̿)"""
def __init__(self,... | stack_v2_sparse_classes_75kplus_train_004488 | 21,914 | no_license | [
{
"docstring": "nome: __init__ :param args: tuple, Any :param kwargs: str",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "nome: send :param request: request :param kwargs: str :return: super().send(request, **kwargs)",
"name": "send",
"signatur... | 2 | stack_v2_sparse_classes_30k_train_003706 | Implement the Python class `TimeoutHTTPAdapter` described below.
Class description:
Nome : TimeoutHTTPAdapter Parametro_1 : HTTPAdapter Criada : junho-2021 Descrição : faz... ____________________________________________________________________________________________________ Todos direitos reservados à Magna Sistemas ... | Implement the Python class `TimeoutHTTPAdapter` described below.
Class description:
Nome : TimeoutHTTPAdapter Parametro_1 : HTTPAdapter Criada : junho-2021 Descrição : faz... ____________________________________________________________________________________________________ Todos direitos reservados à Magna Sistemas ... | b976114c78099c0b949ba915c636e111b9120884 | <|skeleton|>
class TimeoutHTTPAdapter:
"""Nome : TimeoutHTTPAdapter Parametro_1 : HTTPAdapter Criada : junho-2021 Descrição : faz... ____________________________________________________________________________________________________ Todos direitos reservados à Magna Sistemas (▀̿̿Ĺ̯̿▀̿ ̿)"""
def __init__(self,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TimeoutHTTPAdapter:
"""Nome : TimeoutHTTPAdapter Parametro_1 : HTTPAdapter Criada : junho-2021 Descrição : faz... ____________________________________________________________________________________________________ Todos direitos reservados à Magna Sistemas (▀̿̿Ĺ̯̿▀̿ ̿)"""
def __init__(self, *args, **kwa... | the_stack_v2_python_sparse | api/utilities.py | maccaconta/orquestradora | train | 0 |
a4d7dedd52736b68b3c913b5fde707957af23d54 | [
"def f1():\n return 1\n\ndef f2():\n return 2\n\ndef f3():\n pass\nreturn_values = parallel.RunParallelSteps([f1, f2, f3], return_values=True)\nself.assertEquals(return_values, [1, 2, None])",
"def f1():\n return ret_value\nret_value = ''\nfor _ in xrange(10000):\n ret_value += 'This will be repeat... | <|body_start_0|>
def f1():
return 1
def f2():
return 2
def f3():
pass
return_values = parallel.RunParallelSteps([f1, f2, f3], return_values=True)
self.assertEquals(return_values, [1, 2, None])
<|end_body_0|>
<|body_start_1|>
def f1()... | Tests for RunParallelSteps. | TestRunParallelSteps | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"LGPL-2.0-or-later",
"GPL-1.0-or-later",
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRunParallelSteps:
"""Tests for RunParallelSteps."""
def testReturnValues(self):
"""Test that we pass return values through when requested."""
<|body_0|>
def testLargeReturnValues(self):
"""Test that the managed queue prevents hanging on large return values.""... | stack_v2_sparse_classes_75kplus_train_004489 | 19,222 | permissive | [
{
"docstring": "Test that we pass return values through when requested.",
"name": "testReturnValues",
"signature": "def testReturnValues(self)"
},
{
"docstring": "Test that the managed queue prevents hanging on large return values.",
"name": "testLargeReturnValues",
"signature": "def tes... | 2 | stack_v2_sparse_classes_30k_train_037149 | Implement the Python class `TestRunParallelSteps` described below.
Class description:
Tests for RunParallelSteps.
Method signatures and docstrings:
- def testReturnValues(self): Test that we pass return values through when requested.
- def testLargeReturnValues(self): Test that the managed queue prevents hanging on l... | Implement the Python class `TestRunParallelSteps` described below.
Class description:
Tests for RunParallelSteps.
Method signatures and docstrings:
- def testReturnValues(self): Test that we pass return values through when requested.
- def testLargeReturnValues(self): Test that the managed queue prevents hanging on l... | 72a05af97787001756bae2511b7985e61498c965 | <|skeleton|>
class TestRunParallelSteps:
"""Tests for RunParallelSteps."""
def testReturnValues(self):
"""Test that we pass return values through when requested."""
<|body_0|>
def testLargeReturnValues(self):
"""Test that the managed queue prevents hanging on large return values.""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestRunParallelSteps:
"""Tests for RunParallelSteps."""
def testReturnValues(self):
"""Test that we pass return values through when requested."""
def f1():
return 1
def f2():
return 2
def f3():
pass
return_values = parallel.Run... | the_stack_v2_python_sparse | third_party/chromite/lib/parallel_unittest.py | metux/chromium-suckless | train | 5 |
cb6d44c635c7a4f714b3aa144e09ce539d8358b9 | [
"res = [1]\nfor i in range(1, rowIndex + 1):\n res.insert(0, 0)\n for j in range(i):\n res[j] = res[j] + res[j + 1]\nreturn res",
"res = [1]\nfor i in range(1, rowIndex + 1):\n res.append(int(res[-1] * (rowIndex - i + 1) / i))\nreturn res"
] | <|body_start_0|>
res = [1]
for i in range(1, rowIndex + 1):
res.insert(0, 0)
for j in range(i):
res[j] = res[j] + res[j + 1]
return res
<|end_body_0|>
<|body_start_1|>
res = [1]
for i in range(1, rowIndex + 1):
res.append(int(r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getRow(self, rowIndex):
"""现在前面加一个0 然后迭代相加 :param rowIndex: :return:"""
<|body_0|>
def getRow2(self, rowIndex):
"""使用公式，后一个数是前一个数的（n-k+1)/k倍！！！ :param rowIndex: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = [1]
... | stack_v2_sparse_classes_75kplus_train_004490 | 648 | no_license | [
{
"docstring": "现在前面加一个0 然后迭代相加 :param rowIndex: :return:",
"name": "getRow",
"signature": "def getRow(self, rowIndex)"
},
{
"docstring": "使用公式，后一个数是前一个数的（n-k+1)/k倍！！！ :param rowIndex: :return:",
"name": "getRow2",
"signature": "def getRow2(self, rowIndex)"
}
] | 2 | stack_v2_sparse_classes_30k_train_047822 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getRow(self, rowIndex): 现在前面加一个0 然后迭代相加 :param rowIndex: :return:
- def getRow2(self, rowIndex): 使用公式，后一个数是前一个数的（n-k+1)/k倍！！！ :param rowIndex: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getRow(self, rowIndex): 现在前面加一个0 然后迭代相加 :param rowIndex: :return:
- def getRow2(self, rowIndex): 使用公式，后一个数是前一个数的（n-k+1)/k倍！！！ :param rowIndex: :return:
<|skeleton|>
class So... | d8ad2da776066ac3fd99f246cb2b41a921c21a73 | <|skeleton|>
class Solution:
def getRow(self, rowIndex):
"""现在前面加一个0 然后迭代相加 :param rowIndex: :return:"""
<|body_0|>
def getRow2(self, rowIndex):
"""使用公式，后一个数是前一个数的（n-k+1)/k倍！！！ :param rowIndex: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getRow(self, rowIndex):
"""现在前面加一个0 然后迭代相加 :param rowIndex: :return:"""
res = [1]
for i in range(1, rowIndex + 1):
res.insert(0, 0)
for j in range(i):
res[j] = res[j] + res[j + 1]
return res
def getRow2(self, rowIndex):... | the_stack_v2_python_sparse | Python/LeetCode/LeetCode119getRow.py | 540928898/LeetCodeMe | train | 0 | |
9e817030d9a1825ee63e330c0a3599f1bda097e4 | [
"if not cls._resolver_helpers_manager:\n from dfvfs.resolver_helpers import manager\n cls._resolver_helpers_manager = manager.ResolverHelperManager\nreturn cls._resolver_helpers_manager.GetHelper(type_indicator)",
"file_system = cls.OpenFileSystem(path_spec_object, resolver_context=resolver_context)\nif res... | <|body_start_0|>
if not cls._resolver_helpers_manager:
from dfvfs.resolver_helpers import manager
cls._resolver_helpers_manager = manager.ResolverHelperManager
return cls._resolver_helpers_manager.GetHelper(type_indicator)
<|end_body_0|>
<|body_start_1|>
file_system = cl... | Path specification resolver. | Resolver | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Resolver:
"""Path specification resolver."""
def _GetResolverHelper(cls, type_indicator):
"""Retrieves the path specification resolver helper for the specified type. Args: type_indicator (str): type indicator. Returns: ResolverHelper: a resolver helper."""
<|body_0|>
def... | stack_v2_sparse_classes_75kplus_train_004491 | 6,142 | permissive | [
{
"docstring": "Retrieves the path specification resolver helper for the specified type. Args: type_indicator (str): type indicator. Returns: ResolverHelper: a resolver helper.",
"name": "_GetResolverHelper",
"signature": "def _GetResolverHelper(cls, type_indicator)"
},
{
"docstring": "Opens a f... | 4 | null | Implement the Python class `Resolver` described below.
Class description:
Path specification resolver.
Method signatures and docstrings:
- def _GetResolverHelper(cls, type_indicator): Retrieves the path specification resolver helper for the specified type. Args: type_indicator (str): type indicator. Returns: Resolver... | Implement the Python class `Resolver` described below.
Class description:
Path specification resolver.
Method signatures and docstrings:
- def _GetResolverHelper(cls, type_indicator): Retrieves the path specification resolver helper for the specified type. Args: type_indicator (str): type indicator. Returns: Resolver... | 28756d910e951a22c5f0b2bcf5184f055a19d544 | <|skeleton|>
class Resolver:
"""Path specification resolver."""
def _GetResolverHelper(cls, type_indicator):
"""Retrieves the path specification resolver helper for the specified type. Args: type_indicator (str): type indicator. Returns: ResolverHelper: a resolver helper."""
<|body_0|>
def... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Resolver:
"""Path specification resolver."""
def _GetResolverHelper(cls, type_indicator):
"""Retrieves the path specification resolver helper for the specified type. Args: type_indicator (str): type indicator. Returns: ResolverHelper: a resolver helper."""
if not cls._resolver_helpers_man... | the_stack_v2_python_sparse | dfvfs/resolver/resolver.py | log2timeline/dfvfs | train | 197 |
562025bf99f1de4ce6bd11069551e4f50bc3c893 | [
"self._gv = gv\nself._dlg = SelectluDialog()\nself._dlg.setWindowFlags(self._dlg.windowFlags() & ~Qt.WindowContextHelpButtonHint)\nself._dlg.move(self._gv.selectLuPos)\nself._luse = ''",
"self._gv.db.populateAllLanduses(self._dlg.listBox, includeWATR=False)\nself._dlg.listBox.currentTextChanged.connect(self.selec... | <|body_start_0|>
self._gv = gv
self._dlg = SelectluDialog()
self._dlg.setWindowFlags(self._dlg.windowFlags() & ~Qt.WindowContextHelpButtonHint)
self._dlg.move(self._gv.selectLuPos)
self._luse = ''
<|end_body_0|>
<|body_start_1|>
self._gv.db.populateAllLanduses(self._dlg.... | Dialog to select a landuse from a list in listBox. | Selectlu | [
"GPL-2.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Selectlu:
"""Dialog to select a landuse from a list in listBox."""
def __init__(self, gv):
"""Initialise class variables."""
<|body_0|>
def run(self):
"""Run the dialog and return selected landuse."""
<|body_1|>
def select(self, selection):
"... | stack_v2_sparse_classes_75kplus_train_004492 | 2,589 | permissive | [
{
"docstring": "Initialise class variables.",
"name": "__init__",
"signature": "def __init__(self, gv)"
},
{
"docstring": "Run the dialog and return selected landuse.",
"name": "run",
"signature": "def run(self)"
},
{
"docstring": "A selection has the form 'LUSE (Description)' or... | 3 | stack_v2_sparse_classes_30k_train_024373 | Implement the Python class `Selectlu` described below.
Class description:
Dialog to select a landuse from a list in listBox.
Method signatures and docstrings:
- def __init__(self, gv): Initialise class variables.
- def run(self): Run the dialog and return selected landuse.
- def select(self, selection): A selection h... | Implement the Python class `Selectlu` described below.
Class description:
Dialog to select a landuse from a list in listBox.
Method signatures and docstrings:
- def __init__(self, gv): Initialise class variables.
- def run(self): Run the dialog and return selected landuse.
- def select(self, selection): A selection h... | ddb3de70708687ca3167ec4b72ac432426175f45 | <|skeleton|>
class Selectlu:
"""Dialog to select a landuse from a list in listBox."""
def __init__(self, gv):
"""Initialise class variables."""
<|body_0|>
def run(self):
"""Run the dialog and return selected landuse."""
<|body_1|>
def select(self, selection):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Selectlu:
"""Dialog to select a landuse from a list in listBox."""
def __init__(self, gv):
"""Initialise class variables."""
self._gv = gv
self._dlg = SelectluDialog()
self._dlg.setWindowFlags(self._dlg.windowFlags() & ~Qt.WindowContextHelpButtonHint)
self._dlg.mov... | the_stack_v2_python_sparse | qswatplus/selectlu.py | celray/swatplus-automatic-workflow | train | 11 |
2e6e2c2d41038ed9d1bcde668a87653c0293b837 | [
"shuzi = Test(7, 3)\nself.assertEqual(shuzi.add(), 10)\nself.assertEqual(shuzi.dele(), 4)",
"liangshuzi = Test(6, 5)\nt = liangshuzi.add() * 2 + liangshuzi.dele() * 2\nself.assertEqual(t, 24)"
] | <|body_start_0|>
shuzi = Test(7, 3)
self.assertEqual(shuzi.add(), 10)
self.assertEqual(shuzi.dele(), 4)
<|end_body_0|>
<|body_start_1|>
liangshuzi = Test(6, 5)
t = liangshuzi.add() * 2 + liangshuzi.dele() * 2
self.assertEqual(t, 24)
<|end_body_1|>
| 数字计算 | Test_test | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_test:
"""数字计算"""
def test_shuzi(self):
"""两个数字相加以及两个数字相减"""
<|body_0|>
def test_liangmethod(self):
"""两数字相加的2倍 加上 两个数字相减的2倍"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
shuzi = Test(7, 3)
self.assertEqual(shuzi.add(), 10)
... | stack_v2_sparse_classes_75kplus_train_004493 | 888 | no_license | [
{
"docstring": "两个数字相加以及两个数字相减",
"name": "test_shuzi",
"signature": "def test_shuzi(self)"
},
{
"docstring": "两数字相加的2倍 加上 两个数字相减的2倍",
"name": "test_liangmethod",
"signature": "def test_liangmethod(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005959 | Implement the Python class `Test_test` described below.
Class description:
数字计算
Method signatures and docstrings:
- def test_shuzi(self): 两个数字相加以及两个数字相减
- def test_liangmethod(self): 两数字相加的2倍 加上 两个数字相减的2倍 | Implement the Python class `Test_test` described below.
Class description:
数字计算
Method signatures and docstrings:
- def test_shuzi(self): 两个数字相加以及两个数字相减
- def test_liangmethod(self): 两数字相加的2倍 加上 两个数字相减的2倍
<|skeleton|>
class Test_test:
"""数字计算"""
def test_shuzi(self):
"""两个数字相加以及两个数字相减"""
<|b... | 98882c3599d0eb9ac84e74193c584ba7b78ecfab | <|skeleton|>
class Test_test:
"""数字计算"""
def test_shuzi(self):
"""两个数字相加以及两个数字相减"""
<|body_0|>
def test_liangmethod(self):
"""两数字相加的2倍 加上 两个数字相减的2倍"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test_test:
"""数字计算"""
def test_shuzi(self):
"""两个数字相加以及两个数字相减"""
shuzi = Test(7, 3)
self.assertEqual(shuzi.add(), 10)
self.assertEqual(shuzi.dele(), 4)
def test_liangmethod(self):
"""两数字相加的2倍 加上 两个数字相减的2倍"""
liangshuzi = Test(6, 5)
t = liangshu... | the_stack_v2_python_sparse | Course0823/Week05/test_demo/add_dele.py | chenbaoshun/AutomationTesting | train | 0 |
e2064189ead1822de08470740c14e6e499e797b4 | [
"try:\n self.balanced_height_check(node)\nexcept self.NotBalancedError:\n return False\nreturn True",
"if not node:\n return 0\nleft_height = self.balanced_height_check(node.left)\nright_height = self.balanced_height_check(node.right)\nif abs(left_height - right_height) > 1:\n raise self.NotBalancedEr... | <|body_start_0|>
try:
self.balanced_height_check(node)
except self.NotBalancedError:
return False
return True
<|end_body_0|>
<|body_start_1|>
if not node:
return 0
left_height = self.balanced_height_check(node.left)
right_height = self... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def is_balanced(self, node):
"""Return True if the depth of children at any node differs by more than 1. :param node: The node to check :return:"""
<|body_0|>
def balanced_height_check(self, node):
"""Get the height of the tree. Also check that the tree is ... | stack_v2_sparse_classes_75kplus_train_004494 | 1,593 | no_license | [
{
"docstring": "Return True if the depth of children at any node differs by more than 1. :param node: The node to check :return:",
"name": "is_balanced",
"signature": "def is_balanced(self, node)"
},
{
"docstring": "Get the height of the tree. Also check that the tree is balanced.",
"name": ... | 2 | stack_v2_sparse_classes_30k_val_000436 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def is_balanced(self, node): Return True if the depth of children at any node differs by more than 1. :param node: The node to check :return:
- def balanced_height_check(self, no... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def is_balanced(self, node): Return True if the depth of children at any node differs by more than 1. :param node: The node to check :return:
- def balanced_height_check(self, no... | 9cfc663c5bb382f9983eb82e60344bd290e7284b | <|skeleton|>
class Solution:
def is_balanced(self, node):
"""Return True if the depth of children at any node differs by more than 1. :param node: The node to check :return:"""
<|body_0|>
def balanced_height_check(self, node):
"""Get the height of the tree. Also check that the tree is ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def is_balanced(self, node):
"""Return True if the depth of children at any node differs by more than 1. :param node: The node to check :return:"""
try:
self.balanced_height_check(node)
except self.NotBalancedError:
return False
return True
... | the_stack_v2_python_sparse | c4/4_4_check_balanced.py | ltn100/ctci | train | 0 | |
101d06cbde415cddfdcc20d47670c3d7214a2114 | [
"template_values = dict(form=self.form_class(), breadcrumbs=self.breadcrumbs)\ntemplate_values = users.view_util.fill_template_values(request, **template_values)\nreturn render(request, self.template_name, template_values)",
"form = self.form_class(request.POST)\ntemplate_values = dict(form=form, breadcrumbs=self... | <|body_start_0|>
template_values = dict(form=self.form_class(), breadcrumbs=self.breadcrumbs)
template_values = users.view_util.fill_template_values(request, **template_values)
return render(request, self.template_name, template_values)
<|end_body_0|>
<|body_start_1|>
form = self.form_c... | Compute capacity and charge rates. | ChargeRateView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChargeRateView:
"""Compute capacity and charge rates."""
def get(self, request, *args, **kwargs):
"""Process a GET request"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Process a POST request"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_004495 | 1,850 | permissive | [
{
"docstring": "Process a GET request",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Process a POST request",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019081 | Implement the Python class `ChargeRateView` described below.
Class description:
Compute capacity and charge rates.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Process a GET request
- def post(self, request, *args, **kwargs): Process a POST request | Implement the Python class `ChargeRateView` described below.
Class description:
Compute capacity and charge rates.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Process a GET request
- def post(self, request, *args, **kwargs): Process a POST request
<|skeleton|>
class ChargeRateView:
... | 8381a0a1e64fb8df89a28e4729cb2957e0ebce57 | <|skeleton|>
class ChargeRateView:
"""Compute capacity and charge rates."""
def get(self, request, *args, **kwargs):
"""Process a GET request"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Process a POST request"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChargeRateView:
"""Compute capacity and charge rates."""
def get(self, request, *args, **kwargs):
"""Process a GET request"""
template_values = dict(form=self.form_class(), breadcrumbs=self.breadcrumbs)
template_values = users.view_util.fill_template_values(request, **template_val... | the_stack_v2_python_sparse | web_reflectivity/tools/views.py | neutrons/web_reflectivity | train | 1 |
5db307096b939a19f1160000defbc60887c96dcf | [
"df_impressions = fb.build_features(df)\nf.print_time('target column')\ndf_impressions.loc[:, 'is_clicked'] = (df_impressions['referenced_item'] == df_impressions['impressed_item']).astype(int)\nfeatures = ['position', 'prices', 'interaction_count', 'is_last_interacted']\nX = df_impressions[features]\ny = df_impres... | <|body_start_0|>
df_impressions = fb.build_features(df)
f.print_time('target column')
df_impressions.loc[:, 'is_clicked'] = (df_impressions['referenced_item'] == df_impressions['impressed_item']).astype(int)
features = ['position', 'prices', 'interaction_count', 'is_last_interacted']
... | Model class for the logistic regression model. Methods fit(df): Fit the model on training data predict(df): Calculate recommendations for test data | ModelLogReg | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelLogReg:
"""Model class for the logistic regression model. Methods fit(df): Fit the model on training data predict(df): Calculate recommendations for test data"""
def fit(self, df):
"""Train the logistic regression model."""
<|body_0|>
def predict(self, df):
... | stack_v2_sparse_classes_75kplus_train_004496 | 2,096 | permissive | [
{
"docstring": "Train the logistic regression model.",
"name": "fit",
"signature": "def fit(self, df)"
},
{
"docstring": "Calculate click probability based on trained logistic regression model.",
"name": "predict",
"signature": "def predict(self, df)"
}
] | 2 | stack_v2_sparse_classes_30k_train_026032 | Implement the Python class `ModelLogReg` described below.
Class description:
Model class for the logistic regression model. Methods fit(df): Fit the model on training data predict(df): Calculate recommendations for test data
Method signatures and docstrings:
- def fit(self, df): Train the logistic regression model.
-... | Implement the Python class `ModelLogReg` described below.
Class description:
Model class for the logistic regression model. Methods fit(df): Fit the model on training data predict(df): Calculate recommendations for test data
Method signatures and docstrings:
- def fit(self, df): Train the logistic regression model.
-... | 9e54a88b9fd2f5451e9b9108872b28a320cb2f09 | <|skeleton|>
class ModelLogReg:
"""Model class for the logistic regression model. Methods fit(df): Fit the model on training data predict(df): Calculate recommendations for test data"""
def fit(self, df):
"""Train the logistic regression model."""
<|body_0|>
def predict(self, df):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModelLogReg:
"""Model class for the logistic regression model. Methods fit(df): Fit the model on training data predict(df): Calculate recommendations for test data"""
def fit(self, df):
"""Train the logistic regression model."""
df_impressions = fb.build_features(df)
f.print_time(... | the_stack_v2_python_sparse | src/models/model_log_reg.py | dav009/recsys-challenge-2019-benchmarks | train | 0 |
d2b17ebf21c9073cebf23b6752c5bfb0db802e3a | [
"entity.missing_mand_fields = cls.identify_missing_fields_from_object(entity, cls.mandatory_fields_list)\nif cls.optional_fields_list:\n entity.missing_opt_fields = cls.identify_missing_fields_from_object(entity, cls.optional_fields_list)",
"if entity.has_minimal:\n return True\ncls.report_missing_fields(en... | <|body_start_0|>
entity.missing_mand_fields = cls.identify_missing_fields_from_object(entity, cls.mandatory_fields_list)
if cls.optional_fields_list:
entity.missing_opt_fields = cls.identify_missing_fields_from_object(entity, cls.optional_fields_list)
<|end_body_0|>
<|body_start_1|>
... | This class contains the functionality needed for checking the status of an entity - i.e. whether it has minimal metadata required for iRODS submission or not, and if not which fields are missing. | EntityMetaStatusChecker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EntityMetaStatusChecker:
"""This class contains the functionality needed for checking the status of an entity - i.e. whether it has minimal metadata required for iRODS submission or not, and if not which fields are missing."""
def report_missing_fields(cls, entity):
"""This method ch... | stack_v2_sparse_classes_75kplus_train_004497 | 24,848 | no_license | [
{
"docstring": "This method checks that the current entity has all the mandatory and optional fields. In case it doesn't, it reports the missing fields by appending them to the corresponding fields list. Returns True if it has missing fields, false if not.",
"name": "report_missing_fields",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_033384 | Implement the Python class `EntityMetaStatusChecker` described below.
Class description:
This class contains the functionality needed for checking the status of an entity - i.e. whether it has minimal metadata required for iRODS submission or not, and if not which fields are missing.
Method signatures and docstrings:... | Implement the Python class `EntityMetaStatusChecker` described below.
Class description:
This class contains the functionality needed for checking the status of an entity - i.e. whether it has minimal metadata required for iRODS submission or not, and if not which fields are missing.
Method signatures and docstrings:... | 84f31bce05976dc8d3049637f88236e8c5691f9e | <|skeleton|>
class EntityMetaStatusChecker:
"""This class contains the functionality needed for checking the status of an entity - i.e. whether it has minimal metadata required for iRODS submission or not, and if not which fields are missing."""
def report_missing_fields(cls, entity):
"""This method ch... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EntityMetaStatusChecker:
"""This class contains the functionality needed for checking the status of an entity - i.e. whether it has minimal metadata required for iRODS submission or not, and if not which fields are missing."""
def report_missing_fields(cls, entity):
"""This method checks that the... | the_stack_v2_python_sparse | serapis/controller/logic/status_checker.py | wtsi-hgi/serapis | train | 2 |
cd8d22e46ba847769f048ad78e47486e3e3c9c43 | [
"self.protection_sources = protection_sources\nself.sid = sid\nself.views = views",
"if dictionary is None:\n return None\nprotection_sources = None\nif dictionary.get('protectionSources') != None:\n protection_sources = list()\n for structure in dictionary.get('protectionSources'):\n protection_s... | <|body_start_0|>
self.protection_sources = protection_sources
self.sid = sid
self.views = views
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
protection_sources = None
if dictionary.get('protectionSources') != None:
protection... | Implementation of the 'SourcesForSid' model. Protection Sources and Views With Access Permissions. Specifies the Protection Sources objects and Views that the specified principal has permissions to access. The principal is specified using a security identifier (SID). Attributes: protection_sources (list of ProtectionSo... | SourcesForSid | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SourcesForSid:
"""Implementation of the 'SourcesForSid' model. Protection Sources and Views With Access Permissions. Specifies the Protection Sources objects and Views that the specified principal has permissions to access. The principal is specified using a security identifier (SID). Attributes:... | stack_v2_sparse_classes_75kplus_train_004498 | 2,792 | permissive | [
{
"docstring": "Constructor for the SourcesForSid class",
"name": "__init__",
"signature": "def __init__(self, protection_sources=None, sid=None, views=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of the ... | 2 | stack_v2_sparse_classes_30k_train_025888 | Implement the Python class `SourcesForSid` described below.
Class description:
Implementation of the 'SourcesForSid' model. Protection Sources and Views With Access Permissions. Specifies the Protection Sources objects and Views that the specified principal has permissions to access. The principal is specified using a... | Implement the Python class `SourcesForSid` described below.
Class description:
Implementation of the 'SourcesForSid' model. Protection Sources and Views With Access Permissions. Specifies the Protection Sources objects and Views that the specified principal has permissions to access. The principal is specified using a... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class SourcesForSid:
"""Implementation of the 'SourcesForSid' model. Protection Sources and Views With Access Permissions. Specifies the Protection Sources objects and Views that the specified principal has permissions to access. The principal is specified using a security identifier (SID). Attributes:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SourcesForSid:
"""Implementation of the 'SourcesForSid' model. Protection Sources and Views With Access Permissions. Specifies the Protection Sources objects and Views that the specified principal has permissions to access. The principal is specified using a security identifier (SID). Attributes: protection_s... | the_stack_v2_python_sparse | cohesity_management_sdk/models/sources_for_sid.py | cohesity/management-sdk-python | train | 24 |
25900585b9a619017c521c8b488fc3e6d6d20728 | [
"self.ignore_index = ignore_index or nn.CrossEntropyLoss().ignore_index\nself.cross_entropy_loss = nn.CrossEntropyLoss(ignore_index=self.ignore_index)\nsuper().__init__(metric_fn=self.metric_fn, input_key=input_key, output_key=output_key, prefix=prefix)",
"cross_entropy = self.cross_entropy_loss(outputs, targets)... | <|body_start_0|>
self.ignore_index = ignore_index or nn.CrossEntropyLoss().ignore_index
self.cross_entropy_loss = nn.CrossEntropyLoss(ignore_index=self.ignore_index)
super().__init__(metric_fn=self.metric_fn, input_key=input_key, output_key=output_key, prefix=prefix)
<|end_body_0|>
<|body_start... | Perplexity is a very popular metric in NLP especially in Language Modeling task. It is 2^cross_entropy. | PerplexityMetricCallback | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PerplexityMetricCallback:
"""Perplexity is a very popular metric in NLP especially in Language Modeling task. It is 2^cross_entropy."""
def __init__(self, input_key: str='targets', output_key: str='logits', prefix: str='perplexity', ignore_index: int=None):
"""Args: input_key (str): ... | stack_v2_sparse_classes_75kplus_train_004499 | 1,382 | permissive | [
{
"docstring": "Args: input_key (str): input key to use for perplexity calculation, target tokens output_key (str): output key to use for perplexity calculation, logits of the predicted tokens ignore_index (int): index to ignore, usually pad_index",
"name": "__init__",
"signature": "def __init__(self, i... | 2 | stack_v2_sparse_classes_30k_test_001765 | Implement the Python class `PerplexityMetricCallback` described below.
Class description:
Perplexity is a very popular metric in NLP especially in Language Modeling task. It is 2^cross_entropy.
Method signatures and docstrings:
- def __init__(self, input_key: str='targets', output_key: str='logits', prefix: str='perp... | Implement the Python class `PerplexityMetricCallback` described below.
Class description:
Perplexity is a very popular metric in NLP especially in Language Modeling task. It is 2^cross_entropy.
Method signatures and docstrings:
- def __init__(self, input_key: str='targets', output_key: str='logits', prefix: str='perp... | a35297ecab8d1a6c2f00b6435ea1d6d37ec9f441 | <|skeleton|>
class PerplexityMetricCallback:
"""Perplexity is a very popular metric in NLP especially in Language Modeling task. It is 2^cross_entropy."""
def __init__(self, input_key: str='targets', output_key: str='logits', prefix: str='perplexity', ignore_index: int=None):
"""Args: input_key (str): ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PerplexityMetricCallback:
"""Perplexity is a very popular metric in NLP especially in Language Modeling task. It is 2^cross_entropy."""
def __init__(self, input_key: str='targets', output_key: str='logits', prefix: str='perplexity', ignore_index: int=None):
"""Args: input_key (str): input key to ... | the_stack_v2_python_sparse | catalyst/contrib/dl/callbacks/perplexity_metric.py | saswat0/catalyst | train | 2 |
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