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d1adea77ae57d3868dbe4b890712420fb8cda2cd | [
"self.max_proba = max_proba\nself.confident_threshold = confident_threshold\nself.top_n = top_n",
"if self.confident_threshold:\n return [list(np.where(np.array(d) > self.confident_threshold)[0]) for d in data]\nelif self.max_proba:\n return [np.argmax(d) for d in data]\nelif self.top_n:\n return [np.arg... | <|body_start_0|>
self.max_proba = max_proba
self.confident_threshold = confident_threshold
self.top_n = top_n
<|end_body_0|>
<|body_start_1|>
if self.confident_threshold:
return [list(np.where(np.array(d) > self.confident_threshold)[0]) for d in data]
elif self.max_p... | Class implements probability to labels processing using the following ways: choosing one or top_n indices with maximal probability or choosing any number of indices which probabilities to belong with are higher than given confident threshold Args: max_proba: whether to choose label with maximal probability confident_th... | Proba2Labels | [
"Python-2.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Proba2Labels:
"""Class implements probability to labels processing using the following ways: choosing one or top_n indices with maximal probability or choosing any number of indices which probabilities to belong with are higher than given confident threshold Args: max_proba: whether to choose lab... | stack_v2_sparse_classes_36k_train_011700 | 3,194 | permissive | [
{
"docstring": "Initialize class with given parameters",
"name": "__init__",
"signature": "def __init__(self, max_proba: bool=None, confident_threshold: float=None, top_n: int=None, **kwargs) -> None"
},
{
"docstring": "Process probabilities to labels Args: data: list of vectors with probability... | 2 | null | Implement the Python class `Proba2Labels` described below.
Class description:
Class implements probability to labels processing using the following ways: choosing one or top_n indices with maximal probability or choosing any number of indices which probabilities to belong with are higher than given confident threshold... | Implement the Python class `Proba2Labels` described below.
Class description:
Class implements probability to labels processing using the following ways: choosing one or top_n indices with maximal probability or choosing any number of indices which probabilities to belong with are higher than given confident threshold... | 65f69dfb898f5444cc2c98ae03ec7b3f44266df2 | <|skeleton|>
class Proba2Labels:
"""Class implements probability to labels processing using the following ways: choosing one or top_n indices with maximal probability or choosing any number of indices which probabilities to belong with are higher than given confident threshold Args: max_proba: whether to choose lab... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Proba2Labels:
"""Class implements probability to labels processing using the following ways: choosing one or top_n indices with maximal probability or choosing any number of indices which probabilities to belong with are higher than given confident threshold Args: max_proba: whether to choose label with maxim... | the_stack_v2_python_sparse | deeppavlov/models/classifiers/proba2labels.py | vintagexav/DeepPavlov | train | 2 |
86aa0e1deb3e9da53c5a98ddff2aa1239f867ae2 | [
"super().__init__()\nself._logger = logging.getLogger(__name__)\nif not hasattr(sa_exc, 'orig') or not hasattr(sa_exc.orig, 'pgcode'):\n self.msg = 'A value entered is in wrong format.'\n return\nmsg_match = re.match('^.*»(.*)«.*$', sa_exc.orig.diag.message_primary)\ntry:\n value = msg_match.group(1)\nexce... | <|body_start_0|>
super().__init__()
self._logger = logging.getLogger(__name__)
if not hasattr(sa_exc, 'orig') or not hasattr(sa_exc.orig, 'pgcode'):
self.msg = 'A value entered is in wrong format.'
return
msg_match = re.match('^.*»(.*)«.*$', sa_exc.orig.diag.messa... | Define a exception in potion's hierarchy to deal with the data type error in database. | DataError | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataError:
"""Define a exception in potion's hierarchy to deal with the data type error in database."""
def __init__(self, sa_exc):
"""Constructors, extract message from sa's exception object Args: sa_exc (DataError): sa's exception"""
<|body_0|>
def as_dict(self):
... | stack_v2_sparse_classes_36k_train_011701 | 10,585 | permissive | [
{
"docstring": "Constructors, extract message from sa's exception object Args: sa_exc (DataError): sa's exception",
"name": "__init__",
"signature": "def __init__(self, sa_exc)"
},
{
"docstring": "Wraps original as_dict to return customized message",
"name": "as_dict",
"signature": "def ... | 2 | null | Implement the Python class `DataError` described below.
Class description:
Define a exception in potion's hierarchy to deal with the data type error in database.
Method signatures and docstrings:
- def __init__(self, sa_exc): Constructors, extract message from sa's exception object Args: sa_exc (DataError): sa's exce... | Implement the Python class `DataError` described below.
Class description:
Define a exception in potion's hierarchy to deal with the data type error in database.
Method signatures and docstrings:
- def __init__(self, sa_exc): Constructors, extract message from sa's exception object Args: sa_exc (DataError): sa's exce... | 9c9040f6a173af5c495f5447889e9349fa56f234 | <|skeleton|>
class DataError:
"""Define a exception in potion's hierarchy to deal with the data type error in database."""
def __init__(self, sa_exc):
"""Constructors, extract message from sa's exception object Args: sa_exc (DataError): sa's exception"""
<|body_0|>
def as_dict(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataError:
"""Define a exception in potion's hierarchy to deal with the data type error in database."""
def __init__(self, sa_exc):
"""Constructors, extract message from sa's exception object Args: sa_exc (DataError): sa's exception"""
super().__init__()
self._logger = logging.get... | the_stack_v2_python_sparse | tessia/server/api/manager.py | tessia-project/tessia | train | 10 |
a9d63308f84fbc79bc1e70d02fa05242063f12ba | [
"self.ports = in_node.ports\nself.in_node_loc = in_node.loc\nself.op_nodes = op_nodes\nself.out_node = out_node\nself.in_node = in_node",
"local_in_node = self.in_node.clone()\nlocal_in_node.change_operands(operands)\nreturn CommandManager(local_in_node, self.out_node, self.op_nodes)",
"cm = self.test(operands)... | <|body_start_0|>
self.ports = in_node.ports
self.in_node_loc = in_node.loc
self.op_nodes = op_nodes
self.out_node = out_node
self.in_node = in_node
<|end_body_0|>
<|body_start_1|>
local_in_node = self.in_node.clone()
local_in_node.change_operands(operands)
... | CommandTester | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommandTester:
def __init__(self, in_node: InNode, out_node: OutNode, op_nodes: list):
"""Initializes CommandTester. :param ports: List of ports that each shape should go in. :param out_node: Node where all operands should meet. :param op_nodes: List of all known operator nodes in the st... | stack_v2_sparse_classes_36k_train_011702 | 2,173 | no_license | [
{
"docstring": "Initializes CommandTester. :param ports: List of ports that each shape should go in. :param out_node: Node where all operands should meet. :param op_nodes: List of all known operator nodes in the stage.",
"name": "__init__",
"signature": "def __init__(self, in_node: InNode, out_node: Out... | 3 | stack_v2_sparse_classes_30k_train_018282 | Implement the Python class `CommandTester` described below.
Class description:
Implement the CommandTester class.
Method signatures and docstrings:
- def __init__(self, in_node: InNode, out_node: OutNode, op_nodes: list): Initializes CommandTester. :param ports: List of ports that each shape should go in. :param out_... | Implement the Python class `CommandTester` described below.
Class description:
Implement the CommandTester class.
Method signatures and docstrings:
- def __init__(self, in_node: InNode, out_node: OutNode, op_nodes: list): Initializes CommandTester. :param ports: List of ports that each shape should go in. :param out_... | 3435f802b3b5f26853e6d5301f4576875dc7fdf2 | <|skeleton|>
class CommandTester:
def __init__(self, in_node: InNode, out_node: OutNode, op_nodes: list):
"""Initializes CommandTester. :param ports: List of ports that each shape should go in. :param out_node: Node where all operands should meet. :param op_nodes: List of all known operator nodes in the st... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommandTester:
def __init__(self, in_node: InNode, out_node: OutNode, op_nodes: list):
"""Initializes CommandTester. :param ports: List of ports that each shape should go in. :param out_node: Node where all operands should meet. :param op_nodes: List of all known operator nodes in the stage."""
... | the_stack_v2_python_sparse | components/commands/CommandTester.py | Iris-0829/LunarBlocks | train | 0 | |
2d61b14020fe0588895285604de3887d1aa116a3 | [
"super().__init__()\nif all((var is None for var in (hidden_conv_layers, n_filters, kernel_sizes, strides, paddings))):\n hidden_conv_layers = HamiltonianNet.DEFAULT_PARAMS['hidden_conv_layers']\n n_filters = HamiltonianNet.DEFAULT_PARAMS['n_filters']\n kernel_sizes = HamiltonianNet.DEFAULT_PARAMS['kernel_... | <|body_start_0|>
super().__init__()
if all((var is None for var in (hidden_conv_layers, n_filters, kernel_sizes, strides, paddings))):
hidden_conv_layers = HamiltonianNet.DEFAULT_PARAMS['hidden_conv_layers']
n_filters = HamiltonianNet.DEFAULT_PARAMS['n_filters']
kerne... | The Hamiltonian network, composed of 6 convolutional layers and a final linear layer. | HamiltonianNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HamiltonianNet:
"""The Hamiltonian network, composed of 6 convolutional layers and a final linear layer."""
def __init__(self, in_shape, hidden_conv_layers=None, n_filters=None, kernel_sizes=None, strides=None, paddings=None, act_func=nn.Softplus(), dtype=torch.float):
"""Create the ... | stack_v2_sparse_classes_36k_train_011703 | 5,737 | permissive | [
{
"docstring": "Create the layers of the Hamiltonian network. If K is the total number of convolutional layers, then hidden_conv_layers = K - 2. The length of n_filters, kernel_sizes, and strides must be K. If all of them are None, HamiltonianNet.DEFAULT_PARAMS will be used. Args: in_shape (tuple): Shape of inp... | 2 | stack_v2_sparse_classes_30k_train_015668 | Implement the Python class `HamiltonianNet` described below.
Class description:
The Hamiltonian network, composed of 6 convolutional layers and a final linear layer.
Method signatures and docstrings:
- def __init__(self, in_shape, hidden_conv_layers=None, n_filters=None, kernel_sizes=None, strides=None, paddings=None... | Implement the Python class `HamiltonianNet` described below.
Class description:
The Hamiltonian network, composed of 6 convolutional layers and a final linear layer.
Method signatures and docstrings:
- def __init__(self, in_shape, hidden_conv_layers=None, n_filters=None, kernel_sizes=None, strides=None, paddings=None... | 702d3ff3aec40eba20e17c5a1612b5b0b1e2f831 | <|skeleton|>
class HamiltonianNet:
"""The Hamiltonian network, composed of 6 convolutional layers and a final linear layer."""
def __init__(self, in_shape, hidden_conv_layers=None, n_filters=None, kernel_sizes=None, strides=None, paddings=None, act_func=nn.Softplus(), dtype=torch.float):
"""Create the ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HamiltonianNet:
"""The Hamiltonian network, composed of 6 convolutional layers and a final linear layer."""
def __init__(self, in_shape, hidden_conv_layers=None, n_filters=None, kernel_sizes=None, strides=None, paddings=None, act_func=nn.Softplus(), dtype=torch.float):
"""Create the layers of the... | the_stack_v2_python_sparse | networks/hamiltonian_net.py | CampusAI/Hamiltonian-Generative-Networks | train | 35 |
ff8ece3607fc902cfea168fba8283dce281f53f0 | [
"if request.method != 'POST':\n return None\nif 'HTTP_X_APPENGINE_CRON' in os.environ or 'HTTP_X_APPENGINE_QUEUENAME' in os.environ:\n return None\npost_token = request.POST.get('xsrf_token')\nif not post_token:\n logging.warn('Missing XSRF token for post data %s', request.POST)\n return http.HttpRespon... | <|body_start_0|>
if request.method != 'POST':
return None
if 'HTTP_X_APPENGINE_CRON' in os.environ or 'HTTP_X_APPENGINE_QUEUENAME' in os.environ:
return None
post_token = request.POST.get('xsrf_token')
if not post_token:
logging.warn('Missing XSRF toke... | Middleware for preventing cross-site request forgery attacks. This class implements the specification defined at https://docs.djangoproject.com/en/dev/topics/http/middleware/. | XsrfMiddleware | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XsrfMiddleware:
"""Middleware for preventing cross-site request forgery attacks. This class implements the specification defined at https://docs.djangoproject.com/en/dev/topics/http/middleware/."""
def process_request(self, request):
"""Requires a valid XSRF token on POST requests.""... | stack_v2_sparse_classes_36k_train_011704 | 3,853 | permissive | [
{
"docstring": "Requires a valid XSRF token on POST requests.",
"name": "process_request",
"signature": "def process_request(self, request)"
},
{
"docstring": "Alters HTML responses containing <form> tags to embed the XSRF token.",
"name": "process_response",
"signature": "def process_re... | 2 | null | Implement the Python class `XsrfMiddleware` described below.
Class description:
Middleware for preventing cross-site request forgery attacks. This class implements the specification defined at https://docs.djangoproject.com/en/dev/topics/http/middleware/.
Method signatures and docstrings:
- def process_request(self, ... | Implement the Python class `XsrfMiddleware` described below.
Class description:
Middleware for preventing cross-site request forgery attacks. This class implements the specification defined at https://docs.djangoproject.com/en/dev/topics/http/middleware/.
Method signatures and docstrings:
- def process_request(self, ... | f581989f168189fa3a58c028eff327a16c03e438 | <|skeleton|>
class XsrfMiddleware:
"""Middleware for preventing cross-site request forgery attacks. This class implements the specification defined at https://docs.djangoproject.com/en/dev/topics/http/middleware/."""
def process_request(self, request):
"""Requires a valid XSRF token on POST requests.""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class XsrfMiddleware:
"""Middleware for preventing cross-site request forgery attacks. This class implements the specification defined at https://docs.djangoproject.com/en/dev/topics/http/middleware/."""
def process_request(self, request):
"""Requires a valid XSRF token on POST requests."""
if ... | the_stack_v2_python_sparse | app/soc/middleware/xsrf.py | sambitgaan/nupic.son | train | 0 |
3ac608bfd94df299e5db69490b343ffb65b62e61 | [
"dp = [float('inf')] * (n + 1)\ndp[0] = 0\nfor i in range(1, n + 1):\n for j in range(1, int(i ** 0.5) + 1):\n dp[i] = min(dp[i], dp[i - j * j] + 1)\nreturn dp[n]",
"queue = [node(n)]\nvisited = set([node(n).value])\nwhile queue:\n vertex = queue.pop(0)\n residuals = [vertex.value - n * n for n in... | <|body_start_0|>
dp = [float('inf')] * (n + 1)
dp[0] = 0
for i in range(1, n + 1):
for j in range(1, int(i ** 0.5) + 1):
dp[i] = min(dp[i], dp[i - j * j] + 1)
return dp[n]
<|end_body_0|>
<|body_start_1|>
queue = [node(n)]
visited = set([node(n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSquares_dp(self, n):
""":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1"""
<|body_0|>
def numSquares_bfs(self, n):
""":type n: int :rtype: int BFS 其实是很简单的基础算法，抓住如下几点即可轻松写出不易错的 baseline: BF... | stack_v2_sparse_classes_36k_train_011705 | 2,613 | no_license | [
{
"docstring": ":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1",
"name": "numSquares_dp",
"signature": "def numSquares_dp(self, n)"
},
{
"docstring": ":type n: int :rtype: int BFS 其实是很简单的基础算法，抓住如下几点即可轻松写出不易错的 baseline: BFS 算法组成的 3 元素... | 2 | stack_v2_sparse_classes_30k_train_004897 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares_dp(self, n): :type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1
- def numSquares_bfs(self, n): :type n: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares_dp(self, n): :type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1
- def numSquares_bfs(self, n): :type n: ... | 3f4284330f9771037ca59e2e6a94122e51e58540 | <|skeleton|>
class Solution:
def numSquares_dp(self, n):
""":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1"""
<|body_0|>
def numSquares_bfs(self, n):
""":type n: int :rtype: int BFS 其实是很简单的基础算法，抓住如下几点即可轻松写出不易错的 baseline: BF... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numSquares_dp(self, n):
""":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1"""
dp = [float('inf')] * (n + 1)
dp[0] = 0
for i in range(1, n + 1):
for j in range(1, int(i ** 0.5) + 1):
... | the_stack_v2_python_sparse | Leetcode/279.完全平方数.py | myf-algorithm/Leetcode | train | 1 | |
5dc65ce1ef8529270a1b5058f28bb92636c85147 | [
"super(NCC_model, self).__init__()\nself.c1 = th.nn.Conv1d(2, n_hiddens, 1)\nself.c2 = th.nn.Conv1d(n_hiddens, n_hiddens, 1)\nself.batch_norm = th.nn.BatchNorm1d(n_hiddens, affine=False)\nself.l1 = th.nn.Linear(n_hiddens, n_hiddens)\nself.l2 = th.nn.Linear(n_hiddens, 1)",
"act = th.nn.ReLU()\nout = act(self.c1(x)... | <|body_start_0|>
super(NCC_model, self).__init__()
self.c1 = th.nn.Conv1d(2, n_hiddens, 1)
self.c2 = th.nn.Conv1d(n_hiddens, n_hiddens, 1)
self.batch_norm = th.nn.BatchNorm1d(n_hiddens, affine=False)
self.l1 = th.nn.Linear(n_hiddens, n_hiddens)
self.l2 = th.nn.Linear(n_hi... | NCC model structure. | NCC_model | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NCC_model:
"""NCC model structure."""
def __init__(self, n_hiddens=20):
"""Init the NCC structure with the number of hidden units. :param n_hiddens: Number of hidden units :type n_hiddens: int"""
<|body_0|>
def forward(self, x):
"""Passing data through the networ... | stack_v2_sparse_classes_36k_train_011706 | 3,373 | permissive | [
{
"docstring": "Init the NCC structure with the number of hidden units. :param n_hiddens: Number of hidden units :type n_hiddens: int",
"name": "__init__",
"signature": "def __init__(self, n_hiddens=20)"
},
{
"docstring": "Passing data through the network. :param x: 2d tensor containing both (x,... | 2 | null | Implement the Python class `NCC_model` described below.
Class description:
NCC model structure.
Method signatures and docstrings:
- def __init__(self, n_hiddens=20): Init the NCC structure with the number of hidden units. :param n_hiddens: Number of hidden units :type n_hiddens: int
- def forward(self, x): Passing da... | Implement the Python class `NCC_model` described below.
Class description:
NCC model structure.
Method signatures and docstrings:
- def __init__(self, n_hiddens=20): Init the NCC structure with the number of hidden units. :param n_hiddens: Number of hidden units :type n_hiddens: int
- def forward(self, x): Passing da... | 0b15fd6f424074e369c03e0e6015c80dbf6f708e | <|skeleton|>
class NCC_model:
"""NCC model structure."""
def __init__(self, n_hiddens=20):
"""Init the NCC structure with the number of hidden units. :param n_hiddens: Number of hidden units :type n_hiddens: int"""
<|body_0|>
def forward(self, x):
"""Passing data through the networ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NCC_model:
"""NCC model structure."""
def __init__(self, n_hiddens=20):
"""Init the NCC structure with the number of hidden units. :param n_hiddens: Number of hidden units :type n_hiddens: int"""
super(NCC_model, self).__init__()
self.c1 = th.nn.Conv1d(2, n_hiddens, 1)
sel... | the_stack_v2_python_sparse | Causal Inference/Experiments/CausalDiscoveryToolbox-master/cdt/causality/pairwise/NCC.py | afcarl/techniques | train | 0 |
cb45201393807138cd6afb8704970b72f6b2267a | [
"super(CDMStringIOWrapper, self).__init__()\nself._source = source\nself._is_error = is_error\nself._callback = callback",
"for line in s.split('\\n'):\n if line != '':\n self._callback(self._source, line, self._is_error)\nreturn super(CDMStringIOWrapper, self).write(s)"
] | <|body_start_0|>
super(CDMStringIOWrapper, self).__init__()
self._source = source
self._is_error = is_error
self._callback = callback
<|end_body_0|>
<|body_start_1|>
for line in s.split('\n'):
if line != '':
self._callback(self._source, line, self._is... | Subclass of io.StringIO, adds a callback to write(). This wrapped IO class will send lines it receives via write() to the callback, intended to be EnqueueMessage of a CDM instance. | CDMStringIOWrapper | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CDMStringIOWrapper:
"""Subclass of io.StringIO, adds a callback to write(). This wrapped IO class will send lines it receives via write() to the callback, intended to be EnqueueMessage of a CDM instance."""
def __init__(self, source: str, is_error: bool, callback: Callable[[str, str, bool], ... | stack_v2_sparse_classes_36k_train_011707 | 17,020 | permissive | [
{
"docstring": "Initialise the object.",
"name": "__init__",
"signature": "def __init__(self, source: str, is_error: bool, callback: Callable[[str, str, bool], None]) -> None"
},
{
"docstring": "Writes the bytes to the internal buffer, and uses the callback on any lines received.",
"name": "... | 2 | stack_v2_sparse_classes_30k_train_015295 | Implement the Python class `CDMStringIOWrapper` described below.
Class description:
Subclass of io.StringIO, adds a callback to write(). This wrapped IO class will send lines it receives via write() to the callback, intended to be EnqueueMessage of a CDM instance.
Method signatures and docstrings:
- def __init__(self... | Implement the Python class `CDMStringIOWrapper` described below.
Class description:
Subclass of io.StringIO, adds a callback to write(). This wrapped IO class will send lines it receives via write() to the callback, intended to be EnqueueMessage of a CDM instance.
Method signatures and docstrings:
- def __init__(self... | bcea85b1ce7a0feb2aa28b5be4fc6ae124e8ca3c | <|skeleton|>
class CDMStringIOWrapper:
"""Subclass of io.StringIO, adds a callback to write(). This wrapped IO class will send lines it receives via write() to the callback, intended to be EnqueueMessage of a CDM instance."""
def __init__(self, source: str, is_error: bool, callback: Callable[[str, str, bool], ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CDMStringIOWrapper:
"""Subclass of io.StringIO, adds a callback to write(). This wrapped IO class will send lines it receives via write() to the callback, intended to be EnqueueMessage of a CDM instance."""
def __init__(self, source: str, is_error: bool, callback: Callable[[str, str, bool], None]) -> Non... | the_stack_v2_python_sparse | dftimewolf/cli/curses_display_manager.py | log2timeline/dftimewolf | train | 248 |
207b93e58cf13852fde826ed26f8c3c6d8c73424 | [
"if not re.match('1[3-9]\\\\d{9}$', value):\n raise serializers.ValidationError('手机号有误')\nreturn value",
"if value != 'true':\n raise serializers.ValidationError('请先同意使用协议')\nreturn value",
"if attr.get('password') != attr.get('password2'):\n raise serializers.ValidationError('两个密码不一致')\nredis_conn = g... | <|body_start_0|>
if not re.match('1[3-9]\\d{9}$', value):
raise serializers.ValidationError('手机号有误')
return value
<|end_body_0|>
<|body_start_1|>
if value != 'true':
raise serializers.ValidationError('请先同意使用协议')
return value
<|end_body_1|>
<|body_start_2|>
... | 注册序列化器 | CreateUserSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateUserSerializer:
"""注册序列化器"""
def validate_mobile(self, value):
"""单独校验手机号"""
<|body_0|>
def validate_allow(self, value):
"""校验是否同意协议"""
<|body_1|>
def validate(self, attr):
"""校验两次密码是否相同"""
<|body_2|>
def create(self, valid... | stack_v2_sparse_classes_36k_train_011708 | 8,653 | no_license | [
{
"docstring": "单独校验手机号",
"name": "validate_mobile",
"signature": "def validate_mobile(self, value)"
},
{
"docstring": "校验是否同意协议",
"name": "validate_allow",
"signature": "def validate_allow(self, value)"
},
{
"docstring": "校验两次密码是否相同",
"name": "validate",
"signature": "de... | 4 | stack_v2_sparse_classes_30k_val_000664 | Implement the Python class `CreateUserSerializer` described below.
Class description:
注册序列化器
Method signatures and docstrings:
- def validate_mobile(self, value): 单独校验手机号
- def validate_allow(self, value): 校验是否同意协议
- def validate(self, attr): 校验两次密码是否相同
- def create(self, validated_data): 重写create方法 | Implement the Python class `CreateUserSerializer` described below.
Class description:
注册序列化器
Method signatures and docstrings:
- def validate_mobile(self, value): 单独校验手机号
- def validate_allow(self, value): 校验是否同意协议
- def validate(self, attr): 校验两次密码是否相同
- def create(self, validated_data): 重写create方法
<|skeleton|>
cla... | a8fb0fc2352e0c71bab756a06c5a8babd8c350da | <|skeleton|>
class CreateUserSerializer:
"""注册序列化器"""
def validate_mobile(self, value):
"""单独校验手机号"""
<|body_0|>
def validate_allow(self, value):
"""校验是否同意协议"""
<|body_1|>
def validate(self, attr):
"""校验两次密码是否相同"""
<|body_2|>
def create(self, valid... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CreateUserSerializer:
"""注册序列化器"""
def validate_mobile(self, value):
"""单独校验手机号"""
if not re.match('1[3-9]\\d{9}$', value):
raise serializers.ValidationError('手机号有误')
return value
def validate_allow(self, value):
"""校验是否同意协议"""
if value != 'true':
... | the_stack_v2_python_sparse | meiduo_mall/meiduo_mall/apps/users/serializers.py | zhangjian-ai/meiduo | train | 22 |
7d9810ea4d21b6a6becb8acb1572f7495b048e6b | [
"self.m = collections.defaultdict(list)\nfor i, word in enumerate(words):\n self.m[word].append(i)",
"idx1, idx2 = (self.m[word1], self.m[word2])\nres = float('inf')\ni = j = 0\nwhile i < len(idx1) and j < len(idx2):\n res = min(res, abs(idx1[i] - idx2[j]))\n if idx1[i] < idx2[j]:\n i += 1\n el... | <|body_start_0|>
self.m = collections.defaultdict(list)
for i, word in enumerate(words):
self.m[word].append(i)
<|end_body_0|>
<|body_start_1|>
idx1, idx2 = (self.m[word1], self.m[word2])
res = float('inf')
i = j = 0
while i < len(idx1) and j < len(idx2):
... | WordDistance | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.m = collections.defaultdict(list... | stack_v2_sparse_classes_36k_train_011709 | 785 | no_license | [
{
"docstring": ":type words: List[str]",
"name": "__init__",
"signature": "def __init__(self, words)"
},
{
"docstring": ":type word1: str :type word2: str :rtype: int",
"name": "shortest",
"signature": "def shortest(self, word1, word2)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017411 | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int
<|skeleton|>
class WordDistance:
... | 5b14b6f42baf59b04cbcc8e115df4272029b64c8 | <|skeleton|>
class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
self.m = collections.defaultdict(list)
for i, word in enumerate(words):
self.m[word].append(i)
def shortest(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
id... | the_stack_v2_python_sparse | LeetCode/0244.Shortest-Word-Distance-Ii/Shortest-Word-Distance-Ii.py | htingwang/HandsOnAlgoDS | train | 12 | |
976402db022bf67f63dfed5157ba4f203c6a85e9 | [
"super().__init__(netatmo_device.data_handler)\nself.entity_description = BATTERY_SENSOR_DESCRIPTION\nself._module = cast(pyatmo.modules.NRV, netatmo_device.device)\nself._id = netatmo_device.parent_id\nself._publishers.extend([{'name': HOME, 'home_id': netatmo_device.device.home.entity_id, SIGNAL_NAME: netatmo_dev... | <|body_start_0|>
super().__init__(netatmo_device.data_handler)
self.entity_description = BATTERY_SENSOR_DESCRIPTION
self._module = cast(pyatmo.modules.NRV, netatmo_device.device)
self._id = netatmo_device.parent_id
self._publishers.extend([{'name': HOME, 'home_id': netatmo_device... | Implementation of a Netatmo sensor. | NetatmoClimateBatterySensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NetatmoClimateBatterySensor:
"""Implementation of a Netatmo sensor."""
def __init__(self, netatmo_device: NetatmoDevice) -> None:
"""Initialize the sensor."""
<|body_0|>
def async_update_callback(self) -> None:
"""Update the entity's state."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_011710 | 25,750 | permissive | [
{
"docstring": "Initialize the sensor.",
"name": "__init__",
"signature": "def __init__(self, netatmo_device: NetatmoDevice) -> None"
},
{
"docstring": "Update the entity's state.",
"name": "async_update_callback",
"signature": "def async_update_callback(self) -> None"
}
] | 2 | null | Implement the Python class `NetatmoClimateBatterySensor` described below.
Class description:
Implementation of a Netatmo sensor.
Method signatures and docstrings:
- def __init__(self, netatmo_device: NetatmoDevice) -> None: Initialize the sensor.
- def async_update_callback(self) -> None: Update the entity's state. | Implement the Python class `NetatmoClimateBatterySensor` described below.
Class description:
Implementation of a Netatmo sensor.
Method signatures and docstrings:
- def __init__(self, netatmo_device: NetatmoDevice) -> None: Initialize the sensor.
- def async_update_callback(self) -> None: Update the entity's state.
... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class NetatmoClimateBatterySensor:
"""Implementation of a Netatmo sensor."""
def __init__(self, netatmo_device: NetatmoDevice) -> None:
"""Initialize the sensor."""
<|body_0|>
def async_update_callback(self) -> None:
"""Update the entity's state."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NetatmoClimateBatterySensor:
"""Implementation of a Netatmo sensor."""
def __init__(self, netatmo_device: NetatmoDevice) -> None:
"""Initialize the sensor."""
super().__init__(netatmo_device.data_handler)
self.entity_description = BATTERY_SENSOR_DESCRIPTION
self._module = ... | the_stack_v2_python_sparse | homeassistant/components/netatmo/sensor.py | home-assistant/core | train | 35,501 |
e125e655a8febcb816ca069eaaa3bbd2076ae4e7 | [
"super(Spectrogram, self).__init__()\nself.n_fft = n_fft\nself.hop = hop\nself.mels = mels\nself.sr = sr\nself.window = nn.Parameter(torch.hann_window(n_fft), requires_grad=False)\nstft_size = n_fft // 2 + 1\nself.mel_transform = nn.Conv1d(stft_size, mels, kernel_size=1, stride=1, padding=0, bias=True)\nself.mean =... | <|body_start_0|>
super(Spectrogram, self).__init__()
self.n_fft = n_fft
self.hop = hop
self.mels = mels
self.sr = sr
self.window = nn.Parameter(torch.hann_window(n_fft), requires_grad=False)
stft_size = n_fft // 2 + 1
self.mel_transform = nn.Conv1d(stft_si... | Calculate the mel spectrogram as an additional input for the encoder | Spectrogram | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Spectrogram:
"""Calculate the mel spectrogram as an additional input for the encoder"""
def __init__(self, n_fft, hop, mels, sr):
"""Arguments: n_fft {int} -- The number fo frequency bins hop {int} -- Hop size (stride) mels {int} -- The number of mel filters sr {int} -- Sampling rate... | stack_v2_sparse_classes_36k_train_011711 | 37,269 | no_license | [
{
"docstring": "Arguments: n_fft {int} -- The number fo frequency bins hop {int} -- Hop size (stride) mels {int} -- The number of mel filters sr {int} -- Sampling rate of the signal",
"name": "__init__",
"signature": "def __init__(self, n_fft, hop, mels, sr)"
},
{
"docstring": "Arguments: audio_... | 4 | stack_v2_sparse_classes_30k_test_000688 | Implement the Python class `Spectrogram` described below.
Class description:
Calculate the mel spectrogram as an additional input for the encoder
Method signatures and docstrings:
- def __init__(self, n_fft, hop, mels, sr): Arguments: n_fft {int} -- The number fo frequency bins hop {int} -- Hop size (stride) mels {in... | Implement the Python class `Spectrogram` described below.
Class description:
Calculate the mel spectrogram as an additional input for the encoder
Method signatures and docstrings:
- def __init__(self, n_fft, hop, mels, sr): Arguments: n_fft {int} -- The number fo frequency bins hop {int} -- Hop size (stride) mels {in... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class Spectrogram:
"""Calculate the mel spectrogram as an additional input for the encoder"""
def __init__(self, n_fft, hop, mels, sr):
"""Arguments: n_fft {int} -- The number fo frequency bins hop {int} -- Hop size (stride) mels {int} -- The number of mel filters sr {int} -- Sampling rate... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Spectrogram:
"""Calculate the mel spectrogram as an additional input for the encoder"""
def __init__(self, n_fft, hop, mels, sr):
"""Arguments: n_fft {int} -- The number fo frequency bins hop {int} -- Hop size (stride) mels {int} -- The number of mel filters sr {int} -- Sampling rate of the signa... | the_stack_v2_python_sparse | generated/test_pfnet_research_meta_tasnet.py | jansel/pytorch-jit-paritybench | train | 35 |
290e8cd268006000cee9af28736b19d9a4ad31e6 | [
"super(LightSource, self).at_object_creation()\nself.db.tutorial_info = 'This object can be turned on off and has a timed script controlling it.'\nself.db.is_active = False\nself.db.burntime = 60 * 3\nself.db.desc = 'A splinter of wood with remnants of resin on it, enough for burning.'\nself.cmdset.add_default(CmdS... | <|body_start_0|>
super(LightSource, self).at_object_creation()
self.db.tutorial_info = 'This object can be turned on off and has a timed script controlling it.'
self.db.is_active = False
self.db.burntime = 60 * 3
self.db.desc = 'A splinter of wood with remnants of resin on it, en... | This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at. | LightSource | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LightSource:
"""This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at."""
def at_object_creation(self):
"""Called when object is first created."""
<|body_0|>
def reset(self... | stack_v2_sparse_classes_36k_train_011712 | 36,948 | permissive | [
{
"docstring": "Called when object is first created.",
"name": "at_object_creation",
"signature": "def at_object_creation(self)"
},
{
"docstring": "Can be called by tutorial world runner, or by the script when the lightsource has burned out.",
"name": "reset",
"signature": "def reset(sel... | 2 | stack_v2_sparse_classes_30k_train_006864 | Implement the Python class `LightSource` described below.
Class description:
This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at.
Method signatures and docstrings:
- def at_object_creation(self): Called when object is... | Implement the Python class `LightSource` described below.
Class description:
This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at.
Method signatures and docstrings:
- def at_object_creation(self): Called when object is... | 4515b6b569f919b18223ff2b241ea70f3e787e1e | <|skeleton|>
class LightSource:
"""This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at."""
def at_object_creation(self):
"""Called when object is first created."""
<|body_0|>
def reset(self... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LightSource:
"""This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at."""
def at_object_creation(self):
"""Called when object is first created."""
super(LightSource, self).at_object_creation... | the_stack_v2_python_sparse | contrib/tutorial_world/objects.py | mergederg/deuterium | train | 1 |
e9433dda7638aade544bd5e12915d806c35cff27 | [
"error_messages = {'incomplete': _('Must fill all coordinates')}\ndimensions = kwargs.get('dimensions', self.DIMENSIONS)\nfields = [forms.FloatField() for i in range(dimensions)]\nfor field in fields:\n field.error_messages = {}\nkwargs['widget'] = VectorWidget(attrs={'dimensions': dimensions})\nif 'max_length' ... | <|body_start_0|>
error_messages = {'incomplete': _('Must fill all coordinates')}
dimensions = kwargs.get('dimensions', self.DIMENSIONS)
fields = [forms.FloatField() for i in range(dimensions)]
for field in fields:
field.error_messages = {}
kwargs['widget'] = VectorWid... | N dimensional vector field | VectorFormField | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VectorFormField:
"""N dimensional vector field"""
def __init__(self, *args, **kwargs):
"""Class initialization method"""
<|body_0|>
def compress(self, data_list):
"""Data compression method"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
error_m... | stack_v2_sparse_classes_36k_train_011713 | 6,288 | permissive | [
{
"docstring": "Class initialization method",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Data compression method",
"name": "compress",
"signature": "def compress(self, data_list)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013761 | Implement the Python class `VectorFormField` described below.
Class description:
N dimensional vector field
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Class initialization method
- def compress(self, data_list): Data compression method | Implement the Python class `VectorFormField` described below.
Class description:
N dimensional vector field
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Class initialization method
- def compress(self, data_list): Data compression method
<|skeleton|>
class VectorFormField:
"""N dimens... | be9d747b8ca4c5d18f9725b2dad08dba6119d810 | <|skeleton|>
class VectorFormField:
"""N dimensional vector field"""
def __init__(self, *args, **kwargs):
"""Class initialization method"""
<|body_0|>
def compress(self, data_list):
"""Data compression method"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VectorFormField:
"""N dimensional vector field"""
def __init__(self, *args, **kwargs):
"""Class initialization method"""
error_messages = {'incomplete': _('Must fill all coordinates')}
dimensions = kwargs.get('dimensions', self.DIMENSIONS)
fields = [forms.FloatField() for ... | the_stack_v2_python_sparse | sitetools/forms/fields.py | olivergs/django-sitetools | train | 0 |
5ac04510aeb31a2036521eca074e395b3d98cd2c | [
"self.sensor = Sensor('127.0.0.1', 8000)\nself.pump = Pump('127.0.0.1', 8000)\nself.decider = Decider(5, 0.1)\nself.actions = {'PUMP_IN': self.pump.PUMP_IN, 'PUMP_OUT': self.pump.PUMP_OUT, 'PUMP_OFF': self.pump.PUMP_OFF}\nself.controller = Controller(self.sensor, self.pump, self.decider)",
"self.sensor.measure = ... | <|body_start_0|>
self.sensor = Sensor('127.0.0.1', 8000)
self.pump = Pump('127.0.0.1', 8000)
self.decider = Decider(5, 0.1)
self.actions = {'PUMP_IN': self.pump.PUMP_IN, 'PUMP_OUT': self.pump.PUMP_OUT, 'PUMP_OFF': self.pump.PUMP_OFF}
self.controller = Controller(self.sensor, self... | Unit tests for the Controller class | ControllerTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ControllerTests:
"""Unit tests for the Controller class"""
def setUp(self):
"""setUp method for running each test."""
<|body_0|>
def test_determine_next_state_true(self):
"""Test that tick returns true when given mocked data to yield a response of True."""
... | stack_v2_sparse_classes_36k_train_011714 | 5,252 | no_license | [
{
"docstring": "setUp method for running each test.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test that tick returns true when given mocked data to yield a response of True.",
"name": "test_determine_next_state_true",
"signature": "def test_determine_next_state... | 3 | null | Implement the Python class `ControllerTests` described below.
Class description:
Unit tests for the Controller class
Method signatures and docstrings:
- def setUp(self): setUp method for running each test.
- def test_determine_next_state_true(self): Test that tick returns true when given mocked data to yield a respon... | Implement the Python class `ControllerTests` described below.
Class description:
Unit tests for the Controller class
Method signatures and docstrings:
- def setUp(self): setUp method for running each test.
- def test_determine_next_state_true(self): Test that tick returns true when given mocked data to yield a respon... | 263685ca90110609bfd05d621516727f8cd0028f | <|skeleton|>
class ControllerTests:
"""Unit tests for the Controller class"""
def setUp(self):
"""setUp method for running each test."""
<|body_0|>
def test_determine_next_state_true(self):
"""Test that tick returns true when given mocked data to yield a response of True."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ControllerTests:
"""Unit tests for the Controller class"""
def setUp(self):
"""setUp method for running each test."""
self.sensor = Sensor('127.0.0.1', 8000)
self.pump = Pump('127.0.0.1', 8000)
self.decider = Decider(5, 0.1)
self.actions = {'PUMP_IN': self.pump.PUM... | the_stack_v2_python_sparse | students/david_russo/lesson06/waterregulation/waterregulation/test.py | aurel1212/Sp2018-Online | train | 0 |
3cb877ac1c346cf7ad85b1103d2c75f7af15cbb1 | [
"test_group, created = PointGroup.objects.get_or_create(name=kwargs.get('pointGroupName', 'Test points'))\npt_group, created = PricingTierGroup.objects.get_or_create(group=test_group, pricingTier=self.defaultPricing, points=kwargs.get('pricingTierGroupPoints', 5))\ntest_combo = DiscountCombo(name=kwargs.get('name',... | <|body_start_0|>
test_group, created = PointGroup.objects.get_or_create(name=kwargs.get('pointGroupName', 'Test points'))
pt_group, created = PricingTierGroup.objects.get_or_create(group=test_group, pricingTier=self.defaultPricing, points=kwargs.get('pricingTierGroupPoints', 5))
test_combo = Dis... | BaseDiscountsTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseDiscountsTest:
def create_discount(self, **kwargs):
"""This method just creates the necessary objects to create a simple discount with a single required component."""
<|body_0|>
def register_to_check_discount(self, series, expected_amount=None):
"""This method ma... | stack_v2_sparse_classes_36k_train_011715 | 20,249 | permissive | [
{
"docstring": "This method just creates the necessary objects to create a simple discount with a single required component.",
"name": "create_discount",
"signature": "def create_discount(self, **kwargs)"
},
{
"docstring": "This method makes it easy to determine whether discounts are working cor... | 2 | null | Implement the Python class `BaseDiscountsTest` described below.
Class description:
Implement the BaseDiscountsTest class.
Method signatures and docstrings:
- def create_discount(self, **kwargs): This method just creates the necessary objects to create a simple discount with a single required component.
- def register... | Implement the Python class `BaseDiscountsTest` described below.
Class description:
Implement the BaseDiscountsTest class.
Method signatures and docstrings:
- def create_discount(self, **kwargs): This method just creates the necessary objects to create a simple discount with a single required component.
- def register... | 19db3e83e76ea2002ee841989410d12d1e601023 | <|skeleton|>
class BaseDiscountsTest:
def create_discount(self, **kwargs):
"""This method just creates the necessary objects to create a simple discount with a single required component."""
<|body_0|>
def register_to_check_discount(self, series, expected_amount=None):
"""This method ma... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseDiscountsTest:
def create_discount(self, **kwargs):
"""This method just creates the necessary objects to create a simple discount with a single required component."""
test_group, created = PointGroup.objects.get_or_create(name=kwargs.get('pointGroupName', 'Test points'))
pt_group, ... | the_stack_v2_python_sparse | danceschool/discounts/tests.py | django-danceschool/django-danceschool | train | 40 | |
a99f82655c676f4e8b30b2b00a3c005ded995c4f | [
"try:\n sets = oai_provider_set_api.get_all()\n serializer = serializers.OaiProviderSetSerializer(sets, many=True, context={'request': request})\n return Response(serializer.data, status=status.HTTP_200_OK)\nexcept Exception as exception:\n content = OaiPmhMessage.get_message_labelled(str(exception))\n ... | <|body_start_0|>
try:
sets = oai_provider_set_api.get_all()
serializer = serializers.OaiProviderSetSerializer(sets, many=True, context={'request': request})
return Response(serializer.data, status=status.HTTP_200_OK)
except Exception as exception:
content ... | Sets List | SetsList | [
"BSD-3-Clause",
"Apache-2.0",
"MIT",
"NIST-Software"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SetsList:
"""Sets List"""
def get(self, request):
"""Get all OaiProviderSet Args: request: HTTP request Returns: - code: 200 content: List of OaiProviderSet - code: 500 content: Internal server error"""
<|body_0|>
def post(self, request):
"""Create a OaiProviderS... | stack_v2_sparse_classes_36k_train_011716 | 7,772 | permissive | [
{
"docstring": "Get all OaiProviderSet Args: request: HTTP request Returns: - code: 200 content: List of OaiProviderSet - code: 500 content: Internal server error",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Create a OaiProviderSet Parameters: { \"set_spec\": \"value... | 2 | stack_v2_sparse_classes_30k_train_015076 | Implement the Python class `SetsList` described below.
Class description:
Sets List
Method signatures and docstrings:
- def get(self, request): Get all OaiProviderSet Args: request: HTTP request Returns: - code: 200 content: List of OaiProviderSet - code: 500 content: Internal server error
- def post(self, request): ... | Implement the Python class `SetsList` described below.
Class description:
Sets List
Method signatures and docstrings:
- def get(self, request): Get all OaiProviderSet Args: request: HTTP request Returns: - code: 200 content: List of OaiProviderSet - code: 500 content: Internal server error
- def post(self, request): ... | 1d2380d99c00c96a7c5ebdf8513b8ad5e8926d9f | <|skeleton|>
class SetsList:
"""Sets List"""
def get(self, request):
"""Get all OaiProviderSet Args: request: HTTP request Returns: - code: 200 content: List of OaiProviderSet - code: 500 content: Internal server error"""
<|body_0|>
def post(self, request):
"""Create a OaiProviderS... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SetsList:
"""Sets List"""
def get(self, request):
"""Get all OaiProviderSet Args: request: HTTP request Returns: - code: 200 content: List of OaiProviderSet - code: 500 content: Internal server error"""
try:
sets = oai_provider_set_api.get_all()
serializer = serial... | the_stack_v2_python_sparse | core_oaipmh_provider_app/rest/oai_provider_set/views.py | usnistgov/core_oaipmh_provider_app | train | 0 |
ee26eb86a6a90c6b4badd59216bb48100934e49e | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('medinad', 'medinad')\npolice = repo.medinad.police\nneighborhoods = repo.medinad.neighbor\n\ndef product(R, S):\n return [(t, u) for t in R for u in S]\n\ndef project(R, p):\n return [p(t) for t in... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('medinad', 'medinad')
police = repo.medinad.police
neighborhoods = repo.medinad.neighbor
def product(R, S):
return [(t, u) for... | policeneighbors | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class policeneighbors:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everythi... | stack_v2_sparse_classes_36k_train_011717 | 5,402 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | stack_v2_sparse_classes_30k_train_017064 | Implement the Python class `policeneighbors` described below.
Class description:
Implement the policeneighbors class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=Non... | Implement the Python class `policeneighbors` described below.
Class description:
Implement the policeneighbors class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=Non... | 97e72731ffadbeae57d7a332decd58706e7c08de | <|skeleton|>
class policeneighbors:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everythi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class policeneighbors:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('medinad', 'medinad')
police... | the_stack_v2_python_sparse | jtbloom_rfballes_medinad/medinad/policeneighbors.py | ROODAY/course-2017-fal-proj | train | 3 | |
67fe38b17dbd876a0b4f42ac6af03fcb3f2144fc | [
"self.status_list.append(status)\nif len(self.status_list) >= 500:\n if not push_to_bigquery(self.status_list):\n print('Failed to send to bigquery', file=sys.stderr)\n return False\n self.num_imported += len(self.status_list)\n self.status_list = []\n print('Imported {0} rows'.format(self... | <|body_start_0|>
self.status_list.append(status)
if len(self.status_list) >= 500:
if not push_to_bigquery(self.status_list):
print('Failed to send to bigquery', file=sys.stderr)
return False
self.num_imported += len(self.status_list)
se... | Streaming API로 추출한 트윗을 처리하기 위한 클래스 | MyStreamListener | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyStreamListener:
"""Streaming API로 추출한 트윗을 처리하기 위한 클래스"""
def on_status(self, status):
"""트윗을 추출할 때 호출되는 메서드입니다. 매개변수: 트윗을 나타내는 Status 객체"""
<|body_0|>
def push_to_bigquery(status_list):
"""트윗 리스트를 BigQuery에 임포트하는 메서드입니다."""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_36k_train_011718 | 4,338 | no_license | [
{
"docstring": "트윗을 추출할 때 호출되는 메서드입니다. 매개변수: 트윗을 나타내는 Status 객체",
"name": "on_status",
"signature": "def on_status(self, status)"
},
{
"docstring": "트윗 리스트를 BigQuery에 임포트하는 메서드입니다.",
"name": "push_to_bigquery",
"signature": "def push_to_bigquery(status_list)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019879 | Implement the Python class `MyStreamListener` described below.
Class description:
Streaming API로 추출한 트윗을 처리하기 위한 클래스
Method signatures and docstrings:
- def on_status(self, status): 트윗을 추출할 때 호출되는 메서드입니다. 매개변수: 트윗을 나타내는 Status 객체
- def push_to_bigquery(status_list): 트윗 리스트를 BigQuery에 임포트하는 메서드입니다. | Implement the Python class `MyStreamListener` described below.
Class description:
Streaming API로 추출한 트윗을 처리하기 위한 클래스
Method signatures and docstrings:
- def on_status(self, status): 트윗을 추출할 때 호출되는 메서드입니다. 매개변수: 트윗을 나타내는 Status 객체
- def push_to_bigquery(status_list): 트윗 리스트를 BigQuery에 임포트하는 메서드입니다.
<|skeleton|>
class... | b64956e1250cc5d867b3d6d62e0b7d9506344993 | <|skeleton|>
class MyStreamListener:
"""Streaming API로 추출한 트윗을 처리하기 위한 클래스"""
def on_status(self, status):
"""트윗을 추출할 때 호출되는 메서드입니다. 매개변수: 트윗을 나타내는 Status 객체"""
<|body_0|>
def push_to_bigquery(status_list):
"""트윗 리스트를 BigQuery에 임포트하는 메서드입니다."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyStreamListener:
"""Streaming API로 추출한 트윗을 처리하기 위한 클래스"""
def on_status(self, status):
"""트윗을 추출할 때 호출되는 메서드입니다. 매개변수: 트윗을 나타내는 Status 객체"""
self.status_list.append(status)
if len(self.status_list) >= 500:
if not push_to_bigquery(self.status_list):
pri... | the_stack_v2_python_sparse | chapter_5/import_from_stream_api_to_bigquery.py | innerrace/crawl_images.py | train | 0 |
ad29a7a2706ac1cc9c52a7c09ebadcc8163ae510 | [
"self.strategy = strategy\nif opponents is None:\n self.opponents = [axl.Random(p) for p in np.linspace(0, 1, number_of_opponents)]\nelse:\n self.opponents = opponents",
"if isinstance(self.strategy, axl.Player):\n players = [self.strategy] + self.opponents\nelse:\n players = [self.strategy()] + self.... | <|body_start_0|>
self.strategy = strategy
if opponents is None:
self.opponents = [axl.Random(p) for p in np.linspace(0, 1, number_of_opponents)]
else:
self.opponents = opponents
<|end_body_0|>
<|body_start_1|>
if isinstance(self.strategy, axl.Player):
... | TransitiveFingerprint | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransitiveFingerprint:
def __init__(self, strategy, opponents=None, number_of_opponents=50):
"""Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a lis... | stack_v2_sparse_classes_36k_train_011719 | 20,808 | permissive | [
{
"docstring": "Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a list of opponents Default: A spectrum of Random players number_of_opponents: int The number of Random oppon... | 4 | null | Implement the Python class `TransitiveFingerprint` described below.
Class description:
Implement the TransitiveFingerprint class.
Method signatures and docstrings:
- def __init__(self, strategy, opponents=None, number_of_opponents=50): Parameters ---------- strategy : class or instance A class that must be descended ... | Implement the Python class `TransitiveFingerprint` described below.
Class description:
Implement the TransitiveFingerprint class.
Method signatures and docstrings:
- def __init__(self, strategy, opponents=None, number_of_opponents=50): Parameters ---------- strategy : class or instance A class that must be descended ... | fa748627cd4f0333bb2dbfcb1454372a78a9098a | <|skeleton|>
class TransitiveFingerprint:
def __init__(self, strategy, opponents=None, number_of_opponents=50):
"""Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a lis... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TransitiveFingerprint:
def __init__(self, strategy, opponents=None, number_of_opponents=50):
"""Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a list of opponents... | the_stack_v2_python_sparse | axelrod/fingerprint.py | Axelrod-Python/Axelrod | train | 673 | |
72fa46a74c5f57bdc4f3f2b89fb2ff302ca1f415 | [
"if self._mode == common.FULL_COMMS_MODE:\n if struct_tree.IsValidElement(args[arg_idx]):\n return args[arg_idx].flags.status\n else:\n return None\nelif self._mode == common.SPARSE_COMMS_MODE:\n return self._GetTetherValue(args[0], self._node_labels[arg_idx], 'state')\nelse:\n assert Fals... | <|body_start_0|>
if self._mode == common.FULL_COMMS_MODE:
if struct_tree.IsValidElement(args[arg_idx]):
return args[arg_idx].flags.status
else:
return None
elif self._mode == common.SPARSE_COMMS_MODE:
return self._GetTetherValue(args[0]... | Base indicator for servos' armed status. | BaseArmedIndicator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseArmedIndicator:
"""Base indicator for servos' armed status."""
def _GetSingleValue(self, arg_idx, *args):
"""Obtain a single value for one servo, invoked within _GetAvailableValues. Args: arg_idx: The index referring to the n-th servo. *args: The list of attributes to the indicat... | stack_v2_sparse_classes_36k_train_011720 | 17,733 | permissive | [
{
"docstring": "Obtain a single value for one servo, invoked within _GetAvailableValues. Args: arg_idx: The index referring to the n-th servo. *args: The list of attributes to the indicator. The attributes vary in different modes. For FULL_COMMS_MODE, it is the list of ServoStatus messages for each servo, so ar... | 2 | stack_v2_sparse_classes_30k_train_016877 | Implement the Python class `BaseArmedIndicator` described below.
Class description:
Base indicator for servos' armed status.
Method signatures and docstrings:
- def _GetSingleValue(self, arg_idx, *args): Obtain a single value for one servo, invoked within _GetAvailableValues. Args: arg_idx: The index referring to the... | Implement the Python class `BaseArmedIndicator` described below.
Class description:
Base indicator for servos' armed status.
Method signatures and docstrings:
- def _GetSingleValue(self, arg_idx, *args): Obtain a single value for one servo, invoked within _GetAvailableValues. Args: arg_idx: The index referring to the... | 818ae8b7119b200a28af6b3669a3045f30e0dc64 | <|skeleton|>
class BaseArmedIndicator:
"""Base indicator for servos' armed status."""
def _GetSingleValue(self, arg_idx, *args):
"""Obtain a single value for one servo, invoked within _GetAvailableValues. Args: arg_idx: The index referring to the n-th servo. *args: The list of attributes to the indicat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseArmedIndicator:
"""Base indicator for servos' armed status."""
def _GetSingleValue(self, arg_idx, *args):
"""Obtain a single value for one servo, invoked within _GetAvailableValues. Args: arg_idx: The index referring to the n-th servo. *args: The list of attributes to the indicator. The attri... | the_stack_v2_python_sparse | gs/monitor2/apps/plugins/indicators/servo.py | ghomsy/makani | train | 0 |
6c445198cfccb2e214c3bb7286632e461508d610 | [
"if kwargs.get('instance'):\n kwargs.update(initial={'projects': kwargs['instance'].project_set.all()})\nsuper().__init__(*args, **kwargs)",
"super()._save_m2m(*args, **kwargs)\nproject_ids = []\nif hasattr(self.data, 'getlist'):\n project_ids = self.data.getlist('projects')\nelif self.data.get('projects'):... | <|body_start_0|>
if kwargs.get('instance'):
kwargs.update(initial={'projects': kwargs['instance'].project_set.all()})
super().__init__(*args, **kwargs)
<|end_body_0|>
<|body_start_1|>
super()._save_m2m(*args, **kwargs)
project_ids = []
if hasattr(self.data, 'getlist'... | PowerPlantForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PowerPlantForm:
def __init__(self, *args, **kwargs):
"""Display all of the PowerPlant's current projects as initial data."""
<|body_0|>
def _save_m2m(self, *args, **kwargs):
"""Save the PowerPlant's Projects. All of the other uses of Django-Select2 are for Many-To-Ma... | stack_v2_sparse_classes_36k_train_011721 | 8,772 | no_license | [
{
"docstring": "Display all of the PowerPlant's current projects as initial data.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Save the PowerPlant's Projects. All of the other uses of Django-Select2 are for Many-To-Many fields, but since the project... | 2 | stack_v2_sparse_classes_30k_train_007284 | Implement the Python class `PowerPlantForm` described below.
Class description:
Implement the PowerPlantForm class.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Display all of the PowerPlant's current projects as initial data.
- def _save_m2m(self, *args, **kwargs): Save the PowerPlant's P... | Implement the Python class `PowerPlantForm` described below.
Class description:
Implement the PowerPlantForm class.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Display all of the PowerPlant's current projects as initial data.
- def _save_m2m(self, *args, **kwargs): Save the PowerPlant's P... | f45fa2718ac8a0a852449fcb58cbcde20dd7a7ff | <|skeleton|>
class PowerPlantForm:
def __init__(self, *args, **kwargs):
"""Display all of the PowerPlant's current projects as initial data."""
<|body_0|>
def _save_m2m(self, *args, **kwargs):
"""Save the PowerPlant's Projects. All of the other uses of Django-Select2 are for Many-To-Ma... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PowerPlantForm:
def __init__(self, *args, **kwargs):
"""Display all of the PowerPlant's current projects as initial data."""
if kwargs.get('instance'):
kwargs.update(initial={'projects': kwargs['instance'].project_set.all()})
super().__init__(*args, **kwargs)
def _save... | the_stack_v2_python_sparse | infrastructure/forms.py | CSIS-iLab/new-silk-road | train | 8 | |
0cd5caff7f97ac51dd972604e7bc931c4ae90233 | [
"mergeUnits = {}\nnewMergeUnit = {}\nfor mergeableFile in mergeableFiles:\n newMergeFile = {}\n for key in mergeableFile:\n newMergeFile[key] = mergeableFile[key]\n if newMergeFile['file_run'] not in mergeUnits:\n mergeUnits[newMergeFile['file_run']] = []\n for mergeUnit in mergeUnits[newM... | <|body_start_0|>
mergeUnits = {}
newMergeUnit = {}
for mergeableFile in mergeableFiles:
newMergeFile = {}
for key in mergeableFile:
newMergeFile[key] = mergeableFile[key]
if newMergeFile['file_run'] not in mergeUnits:
mergeUnits... | _SplitFileBased_ JobSplitting algorithm for creating jobs that run over the results of split processing jobs. | SplitFileBased | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SplitFileBased:
"""_SplitFileBased_ JobSplitting algorithm for creating jobs that run over the results of split processing jobs."""
def defineMergeUnits(self, mergeableFiles):
"""_defineMergeUnits_ Split all the mergeable files into merge units. A merge unit is a group of files that ... | stack_v2_sparse_classes_36k_train_011722 | 6,285 | permissive | [
{
"docstring": "_defineMergeUnits_ Split all the mergeable files into merge units. A merge unit is a group of files that must be merged together. For example, the files that result from event based splitting jobs need to be merged back together. This method will return a list of merge units. A merge unit is a d... | 3 | stack_v2_sparse_classes_30k_val_000881 | Implement the Python class `SplitFileBased` described below.
Class description:
_SplitFileBased_ JobSplitting algorithm for creating jobs that run over the results of split processing jobs.
Method signatures and docstrings:
- def defineMergeUnits(self, mergeableFiles): _defineMergeUnits_ Split all the mergeable files... | Implement the Python class `SplitFileBased` described below.
Class description:
_SplitFileBased_ JobSplitting algorithm for creating jobs that run over the results of split processing jobs.
Method signatures and docstrings:
- def defineMergeUnits(self, mergeableFiles): _defineMergeUnits_ Split all the mergeable files... | de110ccf6fc63ef5589b4e871ef4d51d5bce7a25 | <|skeleton|>
class SplitFileBased:
"""_SplitFileBased_ JobSplitting algorithm for creating jobs that run over the results of split processing jobs."""
def defineMergeUnits(self, mergeableFiles):
"""_defineMergeUnits_ Split all the mergeable files into merge units. A merge unit is a group of files that ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SplitFileBased:
"""_SplitFileBased_ JobSplitting algorithm for creating jobs that run over the results of split processing jobs."""
def defineMergeUnits(self, mergeableFiles):
"""_defineMergeUnits_ Split all the mergeable files into merge units. A merge unit is a group of files that must be merge... | the_stack_v2_python_sparse | src/python/WMCore/JobSplitting/SplitFileBased.py | vkuznet/WMCore | train | 0 |
6b43666e1543170ab30c957bb12edfc94a6f68b2 | [
"rslt, N = (list(s), len(s))\nleftCnt = rightCnt = 0\nfor i in range(N):\n if rslt[i] == '(':\n leftCnt += 1\n elif rslt[i] == ')':\n rightCnt += 1\n if leftCnt < rightCnt:\n rslt[i] = ''\n rightCnt -= 1\nleftCnt = rightCnt = 0\nfor i in reversed(range(N)):\n if r... | <|body_start_0|>
rslt, N = (list(s), len(s))
leftCnt = rightCnt = 0
for i in range(N):
if rslt[i] == '(':
leftCnt += 1
elif rslt[i] == ')':
rightCnt += 1
if leftCnt < rightCnt:
rslt[i] = ''
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minRemoveToMakeValid(self, s: str) -> str:
"""For any prefix in a valid string with parentheses, its left parentheses should be no less than its right parentheses, same as suffix. So we could scan from left to right to remove invalid right parentheses, then scan from right ... | stack_v2_sparse_classes_36k_train_011723 | 1,915 | no_license | [
{
"docstring": "For any prefix in a valid string with parentheses, its left parentheses should be no less than its right parentheses, same as suffix. So we could scan from left to right to remove invalid right parentheses, then scan from right to left to remove invalid left parentheses.",
"name": "minRemove... | 2 | stack_v2_sparse_classes_30k_train_007652 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minRemoveToMakeValid(self, s: str) -> str: For any prefix in a valid string with parentheses, its left parentheses should be no less than its right parentheses, same as suffi... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minRemoveToMakeValid(self, s: str) -> str: For any prefix in a valid string with parentheses, its left parentheses should be no less than its right parentheses, same as suffi... | edb870f83f0c4568cce0cacec04ee70cf6b545bf | <|skeleton|>
class Solution:
def minRemoveToMakeValid(self, s: str) -> str:
"""For any prefix in a valid string with parentheses, its left parentheses should be no less than its right parentheses, same as suffix. So we could scan from left to right to remove invalid right parentheses, then scan from right ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minRemoveToMakeValid(self, s: str) -> str:
"""For any prefix in a valid string with parentheses, its left parentheses should be no less than its right parentheses, same as suffix. So we could scan from left to right to remove invalid right parentheses, then scan from right to left to rem... | the_stack_v2_python_sparse | 2021/minimum_remove_to_make_valid_parentheses.py | eronekogin/leetcode | train | 0 | |
35a639c24caa744c935cb1666eb775426e6ebabe | [
"if not reservation.is_within_allowed_period() and (not (reservation.special or reservation.event)):\n num_days = reservation.FUTURE_LIMIT.days\n return ngettext('Reservations can only be made {num_days} day ahead of time', 'Reservations can only be made {num_days} days ahead of time', num_days).format(num_da... | <|body_start_0|>
if not reservation.is_within_allowed_period() and (not (reservation.special or reservation.event)):
num_days = reservation.FUTURE_LIMIT.days
return ngettext('Reservations can only be made {num_days} day ahead of time', 'Reservations can only be made {num_days} days ahead... | Base abstract class for the reservation create or change view. | ReservationCreateOrUpdateView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReservationCreateOrUpdateView:
"""Base abstract class for the reservation create or change view."""
def get_error_message(self, form, reservation):
"""Generates the correct error message for the given form. :param reservation: The reservation to generate an error message for :param f... | stack_v2_sparse_classes_36k_train_011724 | 16,552 | permissive | [
{
"docstring": "Generates the correct error message for the given form. :param reservation: The reservation to generate an error message for :param form: The form to generate an error message for :return: The error message",
"name": "get_error_message",
"signature": "def get_error_message(self, form, re... | 5 | null | Implement the Python class `ReservationCreateOrUpdateView` described below.
Class description:
Base abstract class for the reservation create or change view.
Method signatures and docstrings:
- def get_error_message(self, form, reservation): Generates the correct error message for the given form. :param reservation: ... | Implement the Python class `ReservationCreateOrUpdateView` described below.
Class description:
Base abstract class for the reservation create or change view.
Method signatures and docstrings:
- def get_error_message(self, form, reservation): Generates the correct error message for the given form. :param reservation: ... | a90ac79f5756721c9a3864658a87fa62633dbc6c | <|skeleton|>
class ReservationCreateOrUpdateView:
"""Base abstract class for the reservation create or change view."""
def get_error_message(self, form, reservation):
"""Generates the correct error message for the given form. :param reservation: The reservation to generate an error message for :param f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReservationCreateOrUpdateView:
"""Base abstract class for the reservation create or change view."""
def get_error_message(self, form, reservation):
"""Generates the correct error message for the given form. :param reservation: The reservation to generate an error message for :param form: The form... | the_stack_v2_python_sparse | src/make_queue/views/reservation.py | MAKENTNU/web | train | 12 |
8b09716a2aa886b93b7002878d1d8558d790cf45 | [
"self.id_nodo = id_nodo\nself.padre = padre\nself.valor = valor\nself.hijos = {}",
"if self.id_nodo == id_nodo:\n return self\nfor hijo in self.hijos.values():\n nodo = hijo.obtener_nodo(id_nodo)\n if nodo is not None:\n return nodo\nreturn None",
"padre = self.obtener_nodo(id_padre)\nif padre i... | <|body_start_0|>
self.id_nodo = id_nodo
self.padre = padre
self.valor = valor
self.hijos = {}
<|end_body_0|>
<|body_start_1|>
if self.id_nodo == id_nodo:
return self
for hijo in self.hijos.values():
nodo = hijo.obtener_nodo(id_nodo)
if... | Esta clase representa un árbol La estructura es recursiva, de manera que cada nodo es la raíz de un sub-árbol. Los nodos hijos pueden ser guardados en una estructura, como lista o diccionario. En este ejemplo, los nodos hijos serán guardados en un diccionario. | Arbol | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Arbol:
"""Esta clase representa un árbol La estructura es recursiva, de manera que cada nodo es la raíz de un sub-árbol. Los nodos hijos pueden ser guardados en una estructura, como lista o diccionario. En este ejemplo, los nodos hijos serán guardados en un diccionario."""
def __init__(self,... | stack_v2_sparse_classes_36k_train_011725 | 5,113 | no_license | [
{
"docstring": "Inicializa la estructura básica del árbol. Tiene un identificador propio, la referencia a su padre, el valor almacenado y una estructura con sus hijos.",
"name": "__init__",
"signature": "def __init__(self, id_nodo, valor=None, padre=None)"
},
{
"docstring": "Obtiene el nodo con ... | 4 | stack_v2_sparse_classes_30k_train_010177 | Implement the Python class `Arbol` described below.
Class description:
Esta clase representa un árbol La estructura es recursiva, de manera que cada nodo es la raíz de un sub-árbol. Los nodos hijos pueden ser guardados en una estructura, como lista o diccionario. En este ejemplo, los nodos hijos serán guardados en un ... | Implement the Python class `Arbol` described below.
Class description:
Esta clase representa un árbol La estructura es recursiva, de manera que cada nodo es la raíz de un sub-árbol. Los nodos hijos pueden ser guardados en una estructura, como lista o diccionario. En este ejemplo, los nodos hijos serán guardados en un ... | 54f55b9da9d0fa3f976466b3bef19e488c45bef8 | <|skeleton|>
class Arbol:
"""Esta clase representa un árbol La estructura es recursiva, de manera que cada nodo es la raíz de un sub-árbol. Los nodos hijos pueden ser guardados en una estructura, como lista o diccionario. En este ejemplo, los nodos hijos serán guardados en un diccionario."""
def __init__(self,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Arbol:
"""Esta clase representa un árbol La estructura es recursiva, de manera que cada nodo es la raíz de un sub-árbol. Los nodos hijos pueden ser guardados en una estructura, como lista o diccionario. En este ejemplo, los nodos hijos serán guardados en un diccionario."""
def __init__(self, id_nodo, val... | the_stack_v2_python_sparse | Semana 11/arboles.py | TMagini/Apuntes-Progra-Avanzada | train | 0 |
54cbe225c4d9de7369dd4e457804faee0020c705 | [
"super().__init__()\nself.queries = queries\nself.query_labels: IntTensor = tf.cast(tf.convert_to_tensor(query_labels), dtype='int32')\nself.targets = targets\nself.target_labels = target_labels\nself.distance = distance\nself.evaluator = MemoryEvaluator()\nself.metrics: List[ClassificationMetric] = [make_classific... | <|body_start_0|>
super().__init__()
self.queries = queries
self.query_labels: IntTensor = tf.cast(tf.convert_to_tensor(query_labels), dtype='int32')
self.targets = targets
self.target_labels = target_labels
self.distance = distance
self.evaluator = MemoryEvaluator... | Epoch end evaluation callback that build a test index and evaluate model performance on it. This evaluation only run at epoch_end as it is computationally very expensive. | EvalCallback | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EvalCallback:
"""Epoch end evaluation callback that build a test index and evaluate model performance on it. This evaluation only run at epoch_end as it is computationally very expensive."""
def __init__(self, queries: Tensor, query_labels: Sequence[int], targets: Tensor, target_labels: Sequ... | stack_v2_sparse_classes_36k_train_011726 | 15,886 | permissive | [
{
"docstring": "Evaluate model matching quality against a validation dataset at epoch end. Args: queries: Test examples that will be tested against the built index. query_labels: Queries nearest neighbors expected labels. targets: Examples that are indexed. target_labels: Target examples labels. distance: Dista... | 2 | stack_v2_sparse_classes_30k_train_001229 | Implement the Python class `EvalCallback` described below.
Class description:
Epoch end evaluation callback that build a test index and evaluate model performance on it. This evaluation only run at epoch_end as it is computationally very expensive.
Method signatures and docstrings:
- def __init__(self, queries: Tenso... | Implement the Python class `EvalCallback` described below.
Class description:
Epoch end evaluation callback that build a test index and evaluate model performance on it. This evaluation only run at epoch_end as it is computationally very expensive.
Method signatures and docstrings:
- def __init__(self, queries: Tenso... | 99642bcd33c3e54dfef01a0f9d82823418c0e918 | <|skeleton|>
class EvalCallback:
"""Epoch end evaluation callback that build a test index and evaluate model performance on it. This evaluation only run at epoch_end as it is computationally very expensive."""
def __init__(self, queries: Tensor, query_labels: Sequence[int], targets: Tensor, target_labels: Sequ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EvalCallback:
"""Epoch end evaluation callback that build a test index and evaluate model performance on it. This evaluation only run at epoch_end as it is computationally very expensive."""
def __init__(self, queries: Tensor, query_labels: Sequence[int], targets: Tensor, target_labels: Sequence[int], di... | the_stack_v2_python_sparse | tensorflow_similarity/callbacks.py | aditigarg2810/similarity | train | 0 |
599471fca4ccb4ca24191a09dc5ffa6db27b94f2 | [
"if self._validate:\n if len(data.shape) <= 1:\n raise DataProcessorError('The data should be an array with at least two dimensions.')\nreturn data",
"all_counts = []\nfor datum in data:\n counts = {}\n for bit_string in set(datum):\n counts[bit_string] = sum(datum == bit_string)\n all_c... | <|body_start_0|>
if self._validate:
if len(data.shape) <= 1:
raise DataProcessorError('The data should be an array with at least two dimensions.')
return data
<|end_body_0|>
<|body_start_1|>
all_counts = []
for datum in data:
counts = {}
... | A data action that takes discriminated data and transforms it into a counts dict. This node is intended to be used after the :class:`.DiscriminatorNode` node. It will convert the classified memory into a list of count dictionaries wrapped in a numpy array. | MemoryToCounts | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MemoryToCounts:
"""A data action that takes discriminated data and transforms it into a counts dict. This node is intended to be used after the :class:`.DiscriminatorNode` node. It will convert the classified memory into a list of count dictionaries wrapped in a numpy array."""
def _format_d... | stack_v2_sparse_classes_36k_train_011727 | 42,185 | permissive | [
{
"docstring": "Validate the input data.",
"name": "_format_data",
"signature": "def _format_data(self, data: np.ndarray) -> np.ndarray"
},
{
"docstring": "Args: data: The classified data to format into a counts dictionary. The first dimension is assumed to correspond to the different circuit ex... | 2 | stack_v2_sparse_classes_30k_train_004052 | Implement the Python class `MemoryToCounts` described below.
Class description:
A data action that takes discriminated data and transforms it into a counts dict. This node is intended to be used after the :class:`.DiscriminatorNode` node. It will convert the classified memory into a list of count dictionaries wrapped ... | Implement the Python class `MemoryToCounts` described below.
Class description:
A data action that takes discriminated data and transforms it into a counts dict. This node is intended to be used after the :class:`.DiscriminatorNode` node. It will convert the classified memory into a list of count dictionaries wrapped ... | a387675a3fe817cef05b968bbf3e05799a09aaae | <|skeleton|>
class MemoryToCounts:
"""A data action that takes discriminated data and transforms it into a counts dict. This node is intended to be used after the :class:`.DiscriminatorNode` node. It will convert the classified memory into a list of count dictionaries wrapped in a numpy array."""
def _format_d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MemoryToCounts:
"""A data action that takes discriminated data and transforms it into a counts dict. This node is intended to be used after the :class:`.DiscriminatorNode` node. It will convert the classified memory into a list of count dictionaries wrapped in a numpy array."""
def _format_data(self, dat... | the_stack_v2_python_sparse | qiskit_experiments/data_processing/nodes.py | oliverdial/qiskit-experiments | train | 0 |
c0b879709e1cc761c4a4db22824405de09a147cf | [
"self.k = k\nself.nums = nums\nself.nums.append(float('-inf'))\nheapq.heapify(self.nums)\nwhile len(self.nums) > self.k:\n heapq.heappop(self.nums)",
"if val > self.nums[0]:\n heapq.heappushpop(self.nums, val)\nreturn self.nums[0]"
] | <|body_start_0|>
self.k = k
self.nums = nums
self.nums.append(float('-inf'))
heapq.heapify(self.nums)
while len(self.nums) > self.k:
heapq.heappop(self.nums)
<|end_body_0|>
<|body_start_1|>
if val > self.nums[0]:
heapq.heappushpop(self.nums, val)
... | KthLargest5 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KthLargest5:
def __init__(self, k: int, nums: List[int]):
"""Time complexity: O(N), where N is the number of elements in nums"""
<|body_0|>
def add(self, val: int) -> int:
"""Time complexity: O(logN), where N is the number of elements in nums"""
<|body_1|>
<... | stack_v2_sparse_classes_36k_train_011728 | 6,443 | no_license | [
{
"docstring": "Time complexity: O(N), where N is the number of elements in nums",
"name": "__init__",
"signature": "def __init__(self, k: int, nums: List[int])"
},
{
"docstring": "Time complexity: O(logN), where N is the number of elements in nums",
"name": "add",
"signature": "def add(... | 2 | stack_v2_sparse_classes_30k_train_014372 | Implement the Python class `KthLargest5` described below.
Class description:
Implement the KthLargest5 class.
Method signatures and docstrings:
- def __init__(self, k: int, nums: List[int]): Time complexity: O(N), where N is the number of elements in nums
- def add(self, val: int) -> int: Time complexity: O(logN), wh... | Implement the Python class `KthLargest5` described below.
Class description:
Implement the KthLargest5 class.
Method signatures and docstrings:
- def __init__(self, k: int, nums: List[int]): Time complexity: O(N), where N is the number of elements in nums
- def add(self, val: int) -> int: Time complexity: O(logN), wh... | 642e6dd2c3cd65704c90d6e06a392bdae2ddd644 | <|skeleton|>
class KthLargest5:
def __init__(self, k: int, nums: List[int]):
"""Time complexity: O(N), where N is the number of elements in nums"""
<|body_0|>
def add(self, val: int) -> int:
"""Time complexity: O(logN), where N is the number of elements in nums"""
<|body_1|>
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KthLargest5:
def __init__(self, k: int, nums: List[int]):
"""Time complexity: O(N), where N is the number of elements in nums"""
self.k = k
self.nums = nums
self.nums.append(float('-inf'))
heapq.heapify(self.nums)
while len(self.nums) > self.k:
heapq... | the_stack_v2_python_sparse | LeetCode/703.Kth_Largest_Element_in_a_Stream.py | viiicky/Problem-Solving | train | 0 | |
149f757735d08168938bf3b0e641c18f292eb12c | [
"index = 'test_index'\nsketch_id = 1\nsessionizer = SSHSessionizerSketchPlugin(index, sketch_id)\nself.assertIsInstance(sessionizer, SSHSessionizerSketchPlugin)\nself.assertEqual(index, sessionizer.index_name)\nself.assertEqual(sketch_id, sessionizer.sketch.id)",
"index = 'test_index'\nsketch_id = 1\nsessionizer ... | <|body_start_0|>
index = 'test_index'
sketch_id = 1
sessionizer = SSHSessionizerSketchPlugin(index, sketch_id)
self.assertIsInstance(sessionizer, SSHSessionizerSketchPlugin)
self.assertEqual(index, sessionizer.index_name)
self.assertEqual(sketch_id, sessionizer.sketch.id)... | Tests the functionality of the ssh sessionizing sketch analyzer. | TestSSHSessionizerPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSSHSessionizerPlugin:
"""Tests the functionality of the ssh sessionizing sketch analyzer."""
def test_sessionizer(self):
"""Test basic ssh sessionizer functionality."""
<|body_0|>
def test_session_starts_with_connection_event(self):
"""Test a session is creat... | stack_v2_sparse_classes_36k_train_011729 | 5,646 | permissive | [
{
"docstring": "Test basic ssh sessionizer functionality.",
"name": "test_sessionizer",
"signature": "def test_sessionizer(self)"
},
{
"docstring": "Test a session is created if it starts with SSH connection event.",
"name": "test_session_starts_with_connection_event",
"signature": "def ... | 5 | null | Implement the Python class `TestSSHSessionizerPlugin` described below.
Class description:
Tests the functionality of the ssh sessionizing sketch analyzer.
Method signatures and docstrings:
- def test_sessionizer(self): Test basic ssh sessionizer functionality.
- def test_session_starts_with_connection_event(self): Te... | Implement the Python class `TestSSHSessionizerPlugin` described below.
Class description:
Tests the functionality of the ssh sessionizing sketch analyzer.
Method signatures and docstrings:
- def test_sessionizer(self): Test basic ssh sessionizer functionality.
- def test_session_starts_with_connection_event(self): Te... | 24f471b58ca4a87cb053961b5f05c07a544ca7b8 | <|skeleton|>
class TestSSHSessionizerPlugin:
"""Tests the functionality of the ssh sessionizing sketch analyzer."""
def test_sessionizer(self):
"""Test basic ssh sessionizer functionality."""
<|body_0|>
def test_session_starts_with_connection_event(self):
"""Test a session is creat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSSHSessionizerPlugin:
"""Tests the functionality of the ssh sessionizing sketch analyzer."""
def test_sessionizer(self):
"""Test basic ssh sessionizer functionality."""
index = 'test_index'
sketch_id = 1
sessionizer = SSHSessionizerSketchPlugin(index, sketch_id)
... | the_stack_v2_python_sparse | timesketch/lib/analyzers/ssh_sessionizer_test.py | google/timesketch | train | 2,263 |
7b6bfea4bdd1d379164831142d04323c47aaf368 | [
"l, r = (0, len(nums) - 1)\nwhile l <= r:\n m = (l + r) // 2\n if nums[m] == target:\n return m\n if nums[m] < nums[r]:\n if nums[m] < target <= nums[r]:\n l = m + 1\n else:\n r = m - 1\n elif nums[l] <= target < nums[m]:\n r = m - 1\n else:\n ... | <|body_start_0|>
l, r = (0, len(nums) - 1)
while l <= r:
m = (l + r) // 2
if nums[m] == target:
return m
if nums[m] < nums[r]:
if nums[m] < target <= nums[r]:
l = m + 1
else:
r = m... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def search1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
l,... | stack_v2_sparse_classes_36k_train_011730 | 1,611 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "search1",
"signature": "def search1(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "search",
"signature": "def search(self, nums, target)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search1(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search1(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int
<|skel... | 763674fcbe271af3d21eed790c3968c4d33f7b09 | <|skeleton|>
class Solution:
def search1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def search1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
l, r = (0, len(nums) - 1)
while l <= r:
m = (l + r) // 2
if nums[m] == target:
return m
if nums[m] < nums[r]:
if nums... | the_stack_v2_python_sparse | 33_search_in_rotated_sorted_array/33.py | guzhoudiaoke/leetcode_python3 | train | 0 | |
daa07370bf88942b278ef091bf5ac645fcd3f1f5 | [
"self.rb = rest_base\nself.members = []\nself.config = {'@odata.type': '#EventDestinationCollection.EventDestinationCollection', 'Name': 'Event Subscription Collection', 'Members': {}, 'Members@odata.count': 0}",
"c = self.config.copy()\nc['Members@odata.count'] = len(self.members)\nc['Members'] = self.members\nr... | <|body_start_0|>
self.rb = rest_base
self.members = []
self.config = {'@odata.type': '#EventDestinationCollection.EventDestinationCollection', 'Name': 'Event Subscription Collection', 'Members': {}, 'Members@odata.count': 0}
<|end_body_0|>
<|body_start_1|>
c = self.config.copy()
... | Event Subscriptions | Subscriptions | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Subscriptions:
"""Event Subscriptions"""
def __init__(self, rest_base):
"""Subscription collection constructor Arguments: rest_base - Base URL of the RESTful interface"""
<|body_0|>
def configuration(self):
"""Configuration property."""
<|body_1|>
de... | stack_v2_sparse_classes_36k_train_011731 | 4,372 | permissive | [
{
"docstring": "Subscription collection constructor Arguments: rest_base - Base URL of the RESTful interface",
"name": "__init__",
"signature": "def __init__(self, rest_base)"
},
{
"docstring": "Configuration property.",
"name": "configuration",
"signature": "def configuration(self)"
}... | 3 | null | Implement the Python class `Subscriptions` described below.
Class description:
Event Subscriptions
Method signatures and docstrings:
- def __init__(self, rest_base): Subscription collection constructor Arguments: rest_base - Base URL of the RESTful interface
- def configuration(self): Configuration property.
- def ad... | Implement the Python class `Subscriptions` described below.
Class description:
Event Subscriptions
Method signatures and docstrings:
- def __init__(self, rest_base): Subscription collection constructor Arguments: rest_base - Base URL of the RESTful interface
- def configuration(self): Configuration property.
- def ad... | 32777c66a8410d767eae15baabf71c61a0bef13c | <|skeleton|>
class Subscriptions:
"""Event Subscriptions"""
def __init__(self, rest_base):
"""Subscription collection constructor Arguments: rest_base - Base URL of the RESTful interface"""
<|body_0|>
def configuration(self):
"""Configuration property."""
<|body_1|>
de... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Subscriptions:
"""Event Subscriptions"""
def __init__(self, rest_base):
"""Subscription collection constructor Arguments: rest_base - Base URL of the RESTful interface"""
self.rb = rest_base
self.members = []
self.config = {'@odata.type': '#EventDestinationCollection.Event... | the_stack_v2_python_sparse | tools/Redfish-Interface-Emulator/api_emulator/redfish/event_service.py | facebook/openbmc | train | 684 |
2dc8c67cdcbc8d5d2fe3ade3f4be0148ed938049 | [
"total_val = sharadar.Institutions.slice(period_offset=0).TOTALVALUE\nfund_val = sharadar.Institutions.slice(period_offset=0).FNDVALUE\nzipline_sids_to_real_sids = {1: 'FI12345', 2: 'FI23456'}\nloader = SharadarInstitutionsPipelineLoader(zipline_sids_to_real_sids)\ndomain = total_val.domain\ncolumns = [total_val, f... | <|body_start_0|>
total_val = sharadar.Institutions.slice(period_offset=0).TOTALVALUE
fund_val = sharadar.Institutions.slice(period_offset=0).FNDVALUE
zipline_sids_to_real_sids = {1: 'FI12345', 2: 'FI23456'}
loader = SharadarInstitutionsPipelineLoader(zipline_sids_to_real_sids)
do... | SharadarInstitutionsLoaderTestCase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SharadarInstitutionsLoaderTestCase:
def test_institutions_data(self):
"""Tests loading data from get_sharadar_institutions_reindexed_like."""
<|body_0|>
def test_no_data(self):
"""Tests handling when get_sharadar_institutions_reindexed_like returns no data."""
... | stack_v2_sparse_classes_36k_train_011732 | 12,404 | permissive | [
{
"docstring": "Tests loading data from get_sharadar_institutions_reindexed_like.",
"name": "test_institutions_data",
"signature": "def test_institutions_data(self)"
},
{
"docstring": "Tests handling when get_sharadar_institutions_reindexed_like returns no data.",
"name": "test_no_data",
... | 2 | stack_v2_sparse_classes_30k_train_015302 | Implement the Python class `SharadarInstitutionsLoaderTestCase` described below.
Class description:
Implement the SharadarInstitutionsLoaderTestCase class.
Method signatures and docstrings:
- def test_institutions_data(self): Tests loading data from get_sharadar_institutions_reindexed_like.
- def test_no_data(self): ... | Implement the Python class `SharadarInstitutionsLoaderTestCase` described below.
Class description:
Implement the SharadarInstitutionsLoaderTestCase class.
Method signatures and docstrings:
- def test_institutions_data(self): Tests loading data from get_sharadar_institutions_reindexed_like.
- def test_no_data(self): ... | d08d1a9a343232e37d9e5767cae64af799067b45 | <|skeleton|>
class SharadarInstitutionsLoaderTestCase:
def test_institutions_data(self):
"""Tests loading data from get_sharadar_institutions_reindexed_like."""
<|body_0|>
def test_no_data(self):
"""Tests handling when get_sharadar_institutions_reindexed_like returns no data."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SharadarInstitutionsLoaderTestCase:
def test_institutions_data(self):
"""Tests loading data from get_sharadar_institutions_reindexed_like."""
total_val = sharadar.Institutions.slice(period_offset=0).TOTALVALUE
fund_val = sharadar.Institutions.slice(period_offset=0).FNDVALUE
zip... | the_stack_v2_python_sparse | zipline/_tests/pipeline/test_sharadar_loader.py | quantrocket-llc/zipline | train | 17 | |
4a0521e733d7580ef3eba6519f3e26a369b68637 | [
"super().__init__()\nself.in_channels = in_channels\nself.out_channels = out_channels\nself.kernel_size = kernel_size\nself._conv = conv\nshape = (kernel_size, in_channels, out_channels)\nself.weight = torch.nn.Parameter(torch.Tensor(*shape))\nif bias:\n self.bias = torch.nn.Parameter(torch.Tensor(out_channels))... | <|body_start_0|>
super().__init__()
self.in_channels = in_channels
self.out_channels = out_channels
self.kernel_size = kernel_size
self._conv = conv
shape = (kernel_size, in_channels, out_channels)
self.weight = torch.nn.Parameter(torch.Tensor(*shape))
if ... | Graph convolutional layer. | ChebConv | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChebConv:
"""Graph convolutional layer."""
def __init__(self, in_channels, out_channels, kernel_size, bias=True, conv=cheb_conv):
"""Initialize the Chebyshev layer. Args: in_channels (int): Number of channels/features in the input graph. out_channels (int): Number of channels/feature... | stack_v2_sparse_classes_36k_train_011733 | 41,403 | no_license | [
{
"docstring": "Initialize the Chebyshev layer. Args: in_channels (int): Number of channels/features in the input graph. out_channels (int): Number of channels/features in the output graph. kernel_size (int): Number of trainable parameters per filter, which is also the size of the convolutional kernel. The orde... | 3 | stack_v2_sparse_classes_30k_train_010400 | Implement the Python class `ChebConv` described below.
Class description:
Graph convolutional layer.
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, bias=True, conv=cheb_conv): Initialize the Chebyshev layer. Args: in_channels (int): Number of channels/features in the in... | Implement the Python class `ChebConv` described below.
Class description:
Graph convolutional layer.
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, bias=True, conv=cheb_conv): Initialize the Chebyshev layer. Args: in_channels (int): Number of channels/features in the in... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class ChebConv:
"""Graph convolutional layer."""
def __init__(self, in_channels, out_channels, kernel_size, bias=True, conv=cheb_conv):
"""Initialize the Chebyshev layer. Args: in_channels (int): Number of channels/features in the input graph. out_channels (int): Number of channels/feature... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ChebConv:
"""Graph convolutional layer."""
def __init__(self, in_channels, out_channels, kernel_size, bias=True, conv=cheb_conv):
"""Initialize the Chebyshev layer. Args: in_channels (int): Number of channels/features in the input graph. out_channels (int): Number of channels/features in the outp... | the_stack_v2_python_sparse | generated/test_deepsphere_deepsphere_pytorch.py | jansel/pytorch-jit-paritybench | train | 35 |
c2de35438ed0776f6aed9eb719a59bd0f7be6eaa | [
"self._async_abort_entries_match({CONF_HOST: data[CONF_HOST]})\ncamera = AqaraCamera(self.hass, data[CONF_HOST], data[CONF_MODEL], data[CONF_STREAM], verbose=False)\nret = await self.hass.async_add_executor_job(camera.connect)\nif not ret:\n raise CannotConnect\nconfig = {CONF_RTSP_AUTH: data.get(CONF_RTSP_AUTH,... | <|body_start_0|>
self._async_abort_entries_match({CONF_HOST: data[CONF_HOST]})
camera = AqaraCamera(self.hass, data[CONF_HOST], data[CONF_MODEL], data[CONF_STREAM], verbose=False)
ret = await self.hass.async_add_executor_job(camera.connect)
if not ret:
raise CannotConnect
... | Handle a config flow for Aqara Camera. | ConfigFlow | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigFlow:
"""Handle a config flow for Aqara Camera."""
async def _validate_and_create(self, data):
"""Validate the user input allows us to connect. Data has the keys from DATA_SCHEMA with values provided by the user."""
<|body_0|>
async def async_step_user(self, user_i... | stack_v2_sparse_classes_36k_train_011734 | 3,371 | no_license | [
{
"docstring": "Validate the user input allows us to connect. Data has the keys from DATA_SCHEMA with values provided by the user.",
"name": "_validate_and_create",
"signature": "async def _validate_and_create(self, data)"
},
{
"docstring": "Handle the initial step.",
"name": "async_step_use... | 2 | stack_v2_sparse_classes_30k_train_014287 | Implement the Python class `ConfigFlow` described below.
Class description:
Handle a config flow for Aqara Camera.
Method signatures and docstrings:
- async def _validate_and_create(self, data): Validate the user input allows us to connect. Data has the keys from DATA_SCHEMA with values provided by the user.
- async ... | Implement the Python class `ConfigFlow` described below.
Class description:
Handle a config flow for Aqara Camera.
Method signatures and docstrings:
- async def _validate_and_create(self, data): Validate the user input allows us to connect. Data has the keys from DATA_SCHEMA with values provided by the user.
- async ... | 3988d204908478996fffa433faffa9ea20f42562 | <|skeleton|>
class ConfigFlow:
"""Handle a config flow for Aqara Camera."""
async def _validate_and_create(self, data):
"""Validate the user input allows us to connect. Data has the keys from DATA_SCHEMA with values provided by the user."""
<|body_0|>
async def async_step_user(self, user_i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConfigFlow:
"""Handle a config flow for Aqara Camera."""
async def _validate_and_create(self, data):
"""Validate the user input allows us to connect. Data has the keys from DATA_SCHEMA with values provided by the user."""
self._async_abort_entries_match({CONF_HOST: data[CONF_HOST]})
... | the_stack_v2_python_sparse | certificates/custom_components/aqara_camera/config_flow.py | hellad/hass-config | train | 3 |
4375e2a1aeae290587b1884e656cf83b8cb82a82 | [
"if not root:\n return 0\nreturn 1 + self.countNodes(root.left) + self.countNodes(root.right)",
"if not root:\n return 0\nh = 0\nwhile root.left:\n h += 1\n root = root.left\nreturn 2 ** h - 1"
] | <|body_start_0|>
if not root:
return 0
return 1 + self.countNodes(root.left) + self.countNodes(root.right)
<|end_body_0|>
<|body_start_1|>
if not root:
return 0
h = 0
while root.left:
h += 1
root = root.left
return 2 ** h -... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countNodes(self, root) -> int:
"""完全二叉树： 除了最底层节点可能没填满外， 其余每层节点数都达到最大值， 并且最下面一层的节点都集中在该层最左边的若干位置。 若最底层为第 h 层，则该层包含 1~ 2h 个节点。"""
<|body_0|>
def countFullNodes(self, root):
"""满二叉树，既每层都是满的二叉树 他的节点个数为 2^h -1 个 （h为层数）"""
<|body_1|>
<|end_skeleton|>... | stack_v2_sparse_classes_36k_train_011735 | 1,095 | no_license | [
{
"docstring": "完全二叉树： 除了最底层节点可能没填满外， 其余每层节点数都达到最大值， 并且最下面一层的节点都集中在该层最左边的若干位置。 若最底层为第 h 层，则该层包含 1~ 2h 个节点。",
"name": "countNodes",
"signature": "def countNodes(self, root) -> int"
},
{
"docstring": "满二叉树，既每层都是满的二叉树 他的节点个数为 2^h -1 个 （h为层数）",
"name": "countFullNodes",
"signature": "def cou... | 2 | stack_v2_sparse_classes_30k_train_013202 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root) -> int: 完全二叉树： 除了最底层节点可能没填满外， 其余每层节点数都达到最大值， 并且最下面一层的节点都集中在该层最左边的若干位置。 若最底层为第 h 层，则该层包含 1~ 2h 个节点。
- def countFullNodes(self, root): 满二叉树，既每层都是满的二叉树 他的... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root) -> int: 完全二叉树： 除了最底层节点可能没填满外， 其余每层节点数都达到最大值， 并且最下面一层的节点都集中在该层最左边的若干位置。 若最底层为第 h 层，则该层包含 1~ 2h 个节点。
- def countFullNodes(self, root): 满二叉树，既每层都是满的二叉树 他的... | e0ad5e52829345dd2ce4bc578295336ca07b2662 | <|skeleton|>
class Solution:
def countNodes(self, root) -> int:
"""完全二叉树： 除了最底层节点可能没填满外， 其余每层节点数都达到最大值， 并且最下面一层的节点都集中在该层最左边的若干位置。 若最底层为第 h 层，则该层包含 1~ 2h 个节点。"""
<|body_0|>
def countFullNodes(self, root):
"""满二叉树，既每层都是满的二叉树 他的节点个数为 2^h -1 个 （h为层数）"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def countNodes(self, root) -> int:
"""完全二叉树： 除了最底层节点可能没填满外， 其余每层节点数都达到最大值， 并且最下面一层的节点都集中在该层最左边的若干位置。 若最底层为第 h 层，则该层包含 1~ 2h 个节点。"""
if not root:
return 0
return 1 + self.countNodes(root.left) + self.countNodes(root.right)
def countFullNodes(self, root):
... | the_stack_v2_python_sparse | labuladong/二叉树/222.完全二叉树的节点个数.py | Ehco1996/leetcode | train | 7 | |
1c9727f69402cfea8802be139db3ce7c04eabc10 | [
"widget = models.Widget.get_by_id_and_org(widget_id, self.current_org)\nrequire_object_modify_permission(widget.dashboard, self.current_user)\nwidget_properties = request.get_json(force=True)\nwidget.text = widget_properties['text']\nwidget.options = json_dumps(widget_properties['options'])\nmodels.db.session.commi... | <|body_start_0|>
widget = models.Widget.get_by_id_and_org(widget_id, self.current_org)
require_object_modify_permission(widget.dashboard, self.current_user)
widget_properties = request.get_json(force=True)
widget.text = widget_properties['text']
widget.options = json_dumps(widget... | WidgetResource | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WidgetResource:
def post(self, widget_id):
"""Updates a widget in a dashboard. This method currently handles Text Box widgets only. :param number widget_id: The ID of the widget to modify :<json string text: The new contents of the text box"""
<|body_0|>
def delete(self, wid... | stack_v2_sparse_classes_36k_train_011736 | 3,086 | permissive | [
{
"docstring": "Updates a widget in a dashboard. This method currently handles Text Box widgets only. :param number widget_id: The ID of the widget to modify :<json string text: The new contents of the text box",
"name": "post",
"signature": "def post(self, widget_id)"
},
{
"docstring": "Remove ... | 2 | stack_v2_sparse_classes_30k_train_009535 | Implement the Python class `WidgetResource` described below.
Class description:
Implement the WidgetResource class.
Method signatures and docstrings:
- def post(self, widget_id): Updates a widget in a dashboard. This method currently handles Text Box widgets only. :param number widget_id: The ID of the widget to modi... | Implement the Python class `WidgetResource` described below.
Class description:
Implement the WidgetResource class.
Method signatures and docstrings:
- def post(self, widget_id): Updates a widget in a dashboard. This method currently handles Text Box widgets only. :param number widget_id: The ID of the widget to modi... | 7b722a1067397a3ecb408b2c5df07d75250fb66a | <|skeleton|>
class WidgetResource:
def post(self, widget_id):
"""Updates a widget in a dashboard. This method currently handles Text Box widgets only. :param number widget_id: The ID of the widget to modify :<json string text: The new contents of the text box"""
<|body_0|>
def delete(self, wid... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WidgetResource:
def post(self, widget_id):
"""Updates a widget in a dashboard. This method currently handles Text Box widgets only. :param number widget_id: The ID of the widget to modify :<json string text: The new contents of the text box"""
widget = models.Widget.get_by_id_and_org(widget_id... | the_stack_v2_python_sparse | redash/handlers/widgets.py | getredash/redash | train | 23,871 | |
5c01fa12c58b23c8d7e33d8ac3440debb60e726c | [
"if len(strs) == 0:\n return unichr(258)\nreturn unichr(257).join((singleStr.encode('utf-8') for singleStr in strs))",
"if s == unichr(258):\n return []\nreturn s.split(unichr(257))"
] | <|body_start_0|>
if len(strs) == 0:
return unichr(258)
return unichr(257).join((singleStr.encode('utf-8') for singleStr in strs))
<|end_body_0|>
<|body_start_1|>
if s == unichr(258):
return []
return s.split(unichr(257))
<|end_body_1|>
| Codec | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k_train_011737 | 1,322 | permissive | [
{
"docstring": "Encodes a list of strings to a single string. :type strs: List[str] :rtype: str",
"name": "encode",
"signature": "def encode(self, strs)"
},
{
"docstring": "Decodes a single string to a list of strings. :type s: str :rtype: List[str]",
"name": "decode",
"signature": "def ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | 20ae1a048eddbc9a32c819cf61258e2b57572f05 | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
if len(strs) == 0:
return unichr(258)
return unichr(257).join((singleStr.encode('utf-8') for singleStr in strs))
def decode(self, s):
"""Decodes... | the_stack_v2_python_sparse | leetcode.com/python/271_Encode_and_Decode_Strings.py | partho-maple/coding-interview-gym | train | 862 | |
658780d9ebb1c977ef19f7674ef2154869365f46 | [
"anon = User.anonymous()\nif not g.security.has_access(artifact, 'read', user=anon):\n return\nif not g.security.has_access(c.project, 'read', user=anon):\n return\nif title is None:\n title = '%s modified by %s' % (artifact.title_s, c.user.get_pref('display_name'))\nif description is None:\n descriptio... | <|body_start_0|>
anon = User.anonymous()
if not g.security.has_access(artifact, 'read', user=anon):
return
if not g.security.has_access(c.project, 'read', user=anon):
return
if title is None:
title = '%s modified by %s' % (artifact.title_s, c.user.get_... | Used to generate rss/atom feeds. This does not need to be extended; all feed items go into the same collection | Feed | [
"LicenseRef-scancode-other-permissive"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Feed:
"""Used to generate rss/atom feeds. This does not need to be extended; all feed items go into the same collection"""
def post(cls, artifact, title=None, description=None, author=None, author_link=None, author_name=None):
"""Create a Feed item and returns the item. If anon doesn... | stack_v2_sparse_classes_36k_train_011738 | 39,694 | permissive | [
{
"docstring": "Create a Feed item and returns the item. If anon doesn't have read access, create does not happen and None is returned",
"name": "post",
"signature": "def post(cls, artifact, title=None, description=None, author=None, author_link=None, author_name=None)"
},
{
"docstring": "Produc... | 2 | null | Implement the Python class `Feed` described below.
Class description:
Used to generate rss/atom feeds. This does not need to be extended; all feed items go into the same collection
Method signatures and docstrings:
- def post(cls, artifact, title=None, description=None, author=None, author_link=None, author_name=None... | Implement the Python class `Feed` described below.
Class description:
Used to generate rss/atom feeds. This does not need to be extended; all feed items go into the same collection
Method signatures and docstrings:
- def post(cls, artifact, title=None, description=None, author=None, author_link=None, author_name=None... | a5ed73858f64b2d2296c55d174b4af79f8f81d41 | <|skeleton|>
class Feed:
"""Used to generate rss/atom feeds. This does not need to be extended; all feed items go into the same collection"""
def post(cls, artifact, title=None, description=None, author=None, author_link=None, author_name=None):
"""Create a Feed item and returns the item. If anon doesn... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Feed:
"""Used to generate rss/atom feeds. This does not need to be extended; all feed items go into the same collection"""
def post(cls, artifact, title=None, description=None, author=None, author_link=None, author_name=None):
"""Create a Feed item and returns the item. If anon doesn't have read ... | the_stack_v2_python_sparse | vulcanforge/artifact/model.py | vulcan-collaboration/vulcanforge | train | 2 |
ca317eabfa3f0a5b00ceff03b256a9eab98cde77 | [
"super(Decoder, self).__init__()\nself.N = N\nself.dm = dm\nself.embedding = tf.keras.layers.Embedding(input_vocab, dm)\nself.positional_encoding = positional_encoding(max_seq_len, dm)\nself.blocks = [DecoderBlock(dm, h, hidden, drop_rate) for __ in range(self.N)]\nself.dropout = tf.keras.layers.Dropout(drop_rate)"... | <|body_start_0|>
super(Decoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(input_vocab, dm)
self.positional_encoding = positional_encoding(max_seq_len, dm)
self.blocks = [DecoderBlock(dm, h, hidden, drop_rate) for __ in range(self.... | Decoder for a transformer | Decoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
"""Decoder for a transformer"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor"""
<|body_0|>
def call(self, x, encoder_output, training, look_ahead_mask, padding_mask):
"""Public instance method"""
... | stack_v2_sparse_classes_36k_train_011739 | 1,600 | no_license | [
{
"docstring": "Class constructor",
"name": "__init__",
"signature": "def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1)"
},
{
"docstring": "Public instance method",
"name": "call",
"signature": "def call(self, x, encoder_output, training, look_ahead_mask, padd... | 2 | null | Implement the Python class `Decoder` described below.
Class description:
Decoder for a transformer
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): Class constructor
- def call(self, x, encoder_output, training, look_ahead_mask, padding_mask): Public i... | Implement the Python class `Decoder` described below.
Class description:
Decoder for a transformer
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): Class constructor
- def call(self, x, encoder_output, training, look_ahead_mask, padding_mask): Public i... | c23deee331a71a089197547fcae4c1eefb8d24ef | <|skeleton|>
class Decoder:
"""Decoder for a transformer"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor"""
<|body_0|>
def call(self, x, encoder_output, training, look_ahead_mask, padding_mask):
"""Public instance method"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Decoder:
"""Decoder for a transformer"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor"""
super(Decoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(input_vocab, dm)
... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/10-transformer_decoder.py | YosriGFX/holbertonschool-machine_learning | train | 0 |
53b4a1cbbf1dd4744a57e15fb25741cbbf2c088d | [
"future_question = create_question('Question_1', 5)\nresponse = self.client.get(reverse('polls:detail', kwargs={'pk': future_question.id}))\nself.assertEqual(response.status_code, 404)",
"past_question = create_question('Question_1', -5)\nresponse = self.client.get(reverse('polls:detail', kwargs={'pk': past_quest... | <|body_start_0|>
future_question = create_question('Question_1', 5)
response = self.client.get(reverse('polls:detail', kwargs={'pk': future_question.id}))
self.assertEqual(response.status_code, 404)
<|end_body_0|>
<|body_start_1|>
past_question = create_question('Question_1', -5)
... | QuestionDetailViewTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuestionDetailViewTests:
def test_detail_view_with_future_questions(self):
"""A question in the future should not be visible on this view."""
<|body_0|>
def test_detail_view_with_past_questions(self):
"""A question in the future should not be visible on this view."""... | stack_v2_sparse_classes_36k_train_011740 | 4,246 | no_license | [
{
"docstring": "A question in the future should not be visible on this view.",
"name": "test_detail_view_with_future_questions",
"signature": "def test_detail_view_with_future_questions(self)"
},
{
"docstring": "A question in the future should not be visible on this view.",
"name": "test_det... | 2 | null | Implement the Python class `QuestionDetailViewTests` described below.
Class description:
Implement the QuestionDetailViewTests class.
Method signatures and docstrings:
- def test_detail_view_with_future_questions(self): A question in the future should not be visible on this view.
- def test_detail_view_with_past_ques... | Implement the Python class `QuestionDetailViewTests` described below.
Class description:
Implement the QuestionDetailViewTests class.
Method signatures and docstrings:
- def test_detail_view_with_future_questions(self): A question in the future should not be visible on this view.
- def test_detail_view_with_past_ques... | acbb6d21a8182feabcb3329e17c76ac3af375255 | <|skeleton|>
class QuestionDetailViewTests:
def test_detail_view_with_future_questions(self):
"""A question in the future should not be visible on this view."""
<|body_0|>
def test_detail_view_with_past_questions(self):
"""A question in the future should not be visible on this view."""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QuestionDetailViewTests:
def test_detail_view_with_future_questions(self):
"""A question in the future should not be visible on this view."""
future_question = create_question('Question_1', 5)
response = self.client.get(reverse('polls:detail', kwargs={'pk': future_question.id}))
... | the_stack_v2_python_sparse | pythonTutorial/django/mysite/polls/tests.py | rajatgirotra/study | train | 6 | |
25c392f2dc096cd7ccdd8c8c7bfcdc3cb0003738 | [
"self.log_file = log_file_path\nself.logger = logging.getLogger('DP')\nself._init_logging('DataPipeline Automation Framework')",
"self.logger.setLevel(logging.INFO)\nformatter_fh = logging.Formatter('[%(asctime)s] [%(levelname)s] %(message)s')\nformatter_ch = logging.Formatter('[%(asctime)s] [%(levelname)s] %(mes... | <|body_start_0|>
self.log_file = log_file_path
self.logger = logging.getLogger('DP')
self._init_logging('DataPipeline Automation Framework')
<|end_body_0|>
<|body_start_1|>
self.logger.setLevel(logging.INFO)
formatter_fh = logging.Formatter('[%(asctime)s] [%(levelname)s] %(messa... | 请勿在其他类中生成该Logger对象，该Logger用作框架全局系统生产日志 所有脚本中需要记录的日志，请使用print() 框架执行过程中将会把控制台输出信息重定向到报告以及脚本日志文件中 | DPLogger | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DPLogger:
"""请勿在其他类中生成该Logger对象，该Logger用作框架全局系统生产日志 所有脚本中需要记录的日志，请使用print() 框架执行过程中将会把控制台输出信息重定向到报告以及脚本日志文件中"""
def __init__(self, log_file_path):
"""用于初始化自动化框架系统级别Logging，请勿手动调用该函数或尝试初始化该类型"""
<|body_0|>
def _init_logging(self, welcome_str):
"""用于初始化自动化框架系统级别Log... | stack_v2_sparse_classes_36k_train_011741 | 15,306 | no_license | [
{
"docstring": "用于初始化自动化框架系统级别Logging，请勿手动调用该函数或尝试初始化该类型",
"name": "__init__",
"signature": "def __init__(self, log_file_path)"
},
{
"docstring": "用于初始化自动化框架系统级别Logging，请勿手动调用该函数或尝试初始化该类型 :param welcome_str: welcome_str",
"name": "_init_logging",
"signature": "def _init_logging(self, wel... | 2 | stack_v2_sparse_classes_30k_train_018595 | Implement the Python class `DPLogger` described below.
Class description:
请勿在其他类中生成该Logger对象，该Logger用作框架全局系统生产日志 所有脚本中需要记录的日志，请使用print() 框架执行过程中将会把控制台输出信息重定向到报告以及脚本日志文件中
Method signatures and docstrings:
- def __init__(self, log_file_path): 用于初始化自动化框架系统级别Logging，请勿手动调用该函数或尝试初始化该类型
- def _init_logging(self, welcome_st... | Implement the Python class `DPLogger` described below.
Class description:
请勿在其他类中生成该Logger对象，该Logger用作框架全局系统生产日志 所有脚本中需要记录的日志，请使用print() 框架执行过程中将会把控制台输出信息重定向到报告以及脚本日志文件中
Method signatures and docstrings:
- def __init__(self, log_file_path): 用于初始化自动化框架系统级别Logging，请勿手动调用该函数或尝试初始化该类型
- def _init_logging(self, welcome_st... | e4798a1fb58a8dd72922fa653e6c801a8924c0ff | <|skeleton|>
class DPLogger:
"""请勿在其他类中生成该Logger对象，该Logger用作框架全局系统生产日志 所有脚本中需要记录的日志，请使用print() 框架执行过程中将会把控制台输出信息重定向到报告以及脚本日志文件中"""
def __init__(self, log_file_path):
"""用于初始化自动化框架系统级别Logging，请勿手动调用该函数或尝试初始化该类型"""
<|body_0|>
def _init_logging(self, welcome_str):
"""用于初始化自动化框架系统级别Log... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DPLogger:
"""请勿在其他类中生成该Logger对象，该Logger用作框架全局系统生产日志 所有脚本中需要记录的日志，请使用print() 框架执行过程中将会把控制台输出信息重定向到报告以及脚本日志文件中"""
def __init__(self, log_file_path):
"""用于初始化自动化框架系统级别Logging，请勿手动调用该函数或尝试初始化该类型"""
self.log_file = log_file_path
self.logger = logging.getLogger('DP')
self._init_... | the_stack_v2_python_sparse | runner.py | qinzhen-DPL/DP-AUTO | train | 0 |
0cc20dd7b864b1e8334fdce375f180eed04e4207 | [
"extra_vars = dict(EasyBlock.extra_options(extra_vars))\nextra_vars.update({'configure_cmd_prefix': ['', 'Prefix to be glued before ./configure', CUSTOM], 'prefix_opt': ['--prefix=', 'Prefix command line option for configure script', CUSTOM], 'tar_config_opts': [False, 'Override tar settings as determined by config... | <|body_start_0|>
extra_vars = dict(EasyBlock.extra_options(extra_vars))
extra_vars.update({'configure_cmd_prefix': ['', 'Prefix to be glued before ./configure', CUSTOM], 'prefix_opt': ['--prefix=', 'Prefix command line option for configure script', CUSTOM], 'tar_config_opts': [False, 'Override tar setti... | Support for building and installing applications with configure/make/make install | ConfigureMake | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigureMake:
"""Support for building and installing applications with configure/make/make install"""
def extra_options(extra_vars=None):
"""Extra easyconfig parameters specific to ConfigureMake."""
<|body_0|>
def configure_step(self, cmd_prefix=''):
"""Configur... | stack_v2_sparse_classes_36k_train_011742 | 4,867 | no_license | [
{
"docstring": "Extra easyconfig parameters specific to ConfigureMake.",
"name": "extra_options",
"signature": "def extra_options(extra_vars=None)"
},
{
"docstring": "Configure step - typically ./configure --prefix=/install/path style",
"name": "configure_step",
"signature": "def configu... | 5 | null | Implement the Python class `ConfigureMake` described below.
Class description:
Support for building and installing applications with configure/make/make install
Method signatures and docstrings:
- def extra_options(extra_vars=None): Extra easyconfig parameters specific to ConfigureMake.
- def configure_step(self, cmd... | Implement the Python class `ConfigureMake` described below.
Class description:
Support for building and installing applications with configure/make/make install
Method signatures and docstrings:
- def extra_options(extra_vars=None): Extra easyconfig parameters specific to ConfigureMake.
- def configure_step(self, cmd... | 3c5434f9a4193fbe4cf8107327faadda83d798ae | <|skeleton|>
class ConfigureMake:
"""Support for building and installing applications with configure/make/make install"""
def extra_options(extra_vars=None):
"""Extra easyconfig parameters specific to ConfigureMake."""
<|body_0|>
def configure_step(self, cmd_prefix=''):
"""Configur... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConfigureMake:
"""Support for building and installing applications with configure/make/make install"""
def extra_options(extra_vars=None):
"""Extra easyconfig parameters specific to ConfigureMake."""
extra_vars = dict(EasyBlock.extra_options(extra_vars))
extra_vars.update({'config... | the_stack_v2_python_sparse | 1.13.0/easyblock/easyblocks/generic/configuremake.py | lsuhpchelp/easybuild_smic | train | 0 |
d0dbe20e7be354ff1c9a605d07b30f41a4ad3bd4 | [
"\"\"\"\n #Extract data for existing products\n data_to_update = []\n for index, product in enumerate(validated_data):\n if \"id\" in product:\n data_to_update.append(validated_data.pop(index))\n\n #Update existing products with extracted data\n self.upda... | <|body_start_0|>
"""
#Extract data for existing products
data_to_update = []
for index, product in enumerate(validated_data):
if "id" in product:
data_to_update.append(validated_data.pop(index))
#Update ... | ProductListSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductListSerializer:
def create(self, validated_data):
"""Override the 'create' method We separate the data with ids, which will be used to update existing products. After the existing products are updated or deleted, then new products are created for data without ids"""
<|body... | stack_v2_sparse_classes_36k_train_011743 | 21,355 | no_license | [
{
"docstring": "Override the 'create' method We separate the data with ids, which will be used to update existing products. After the existing products are updated or deleted, then new products are created for data without ids",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_012678 | Implement the Python class `ProductListSerializer` described below.
Class description:
Implement the ProductListSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): Override the 'create' method We separate the data with ids, which will be used to update existing products. After the ... | Implement the Python class `ProductListSerializer` described below.
Class description:
Implement the ProductListSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): Override the 'create' method We separate the data with ids, which will be used to update existing products. After the ... | bef520659a7316c861933f9609b6b9ca7d9f47ac | <|skeleton|>
class ProductListSerializer:
def create(self, validated_data):
"""Override the 'create' method We separate the data with ids, which will be used to update existing products. After the existing products are updated or deleted, then new products are created for data without ids"""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProductListSerializer:
def create(self, validated_data):
"""Override the 'create' method We separate the data with ids, which will be used to update existing products. After the existing products are updated or deleted, then new products are created for data without ids"""
"""
... | the_stack_v2_python_sparse | supplies/serializers.py | charliephairoj/backend | train | 0 | |
3571fe525cc229d60ac2beecc85b12280658eea6 | [
"site = models.SiteSettings.objects.get()\ndata = {'site_form': forms.SiteForm(instance=site)}\nreturn TemplateResponse(request, 'settings/site.html', data)",
"site = models.SiteSettings.objects.get()\nform = forms.SiteForm(request.POST, request.FILES, instance=site)\nif not form.is_valid():\n data = {'site_fo... | <|body_start_0|>
site = models.SiteSettings.objects.get()
data = {'site_form': forms.SiteForm(instance=site)}
return TemplateResponse(request, 'settings/site.html', data)
<|end_body_0|>
<|body_start_1|>
site = models.SiteSettings.objects.get()
form = forms.SiteForm(request.POST,... | manage things like the instance name | Site | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Site:
"""manage things like the instance name"""
def get(self, request):
"""edit form"""
<|body_0|>
def post(self, request):
"""edit the site settings"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
site = models.SiteSettings.objects.get()
... | stack_v2_sparse_classes_36k_train_011744 | 3,435 | no_license | [
{
"docstring": "edit form",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "edit the site settings",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012980 | Implement the Python class `Site` described below.
Class description:
manage things like the instance name
Method signatures and docstrings:
- def get(self, request): edit form
- def post(self, request): edit the site settings | Implement the Python class `Site` described below.
Class description:
manage things like the instance name
Method signatures and docstrings:
- def get(self, request): edit form
- def post(self, request): edit the site settings
<|skeleton|>
class Site:
"""manage things like the instance name"""
def get(self,... | 0f8da5b738047f3c34d60d93f59bdedd8f797224 | <|skeleton|>
class Site:
"""manage things like the instance name"""
def get(self, request):
"""edit form"""
<|body_0|>
def post(self, request):
"""edit the site settings"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Site:
"""manage things like the instance name"""
def get(self, request):
"""edit form"""
site = models.SiteSettings.objects.get()
data = {'site_form': forms.SiteForm(instance=site)}
return TemplateResponse(request, 'settings/site.html', data)
def post(self, request):
... | the_stack_v2_python_sparse | bookwyrm/views/admin/site.py | bookwyrm-social/bookwyrm | train | 1,398 |
0d6e5ee3cc02ede6de613b9c96492372e087416d | [
"if not numBins:\n numBins = int(len(data) / 5)\nres = stats.cumfreq(data, numbins=numBins)\nself.cdistr = res.cumcount / len(data)\nself.loLim = res.lowerlimit\nself.upLim = res.lowerlimit + res.binsize * res.cumcount.size\nself.binWidth = res.binsize",
"if value <= self.loLim:\n d = 0.0\nelif value >= sel... | <|body_start_0|>
if not numBins:
numBins = int(len(data) / 5)
res = stats.cumfreq(data, numbins=numBins)
self.cdistr = res.cumcount / len(data)
self.loLim = res.lowerlimit
self.upLim = res.lowerlimit + res.binsize * res.cumcount.size
self.binWidth = res.binsiz... | cumulative distr | CumDistr | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CumDistr:
"""cumulative distr"""
def __init__(self, data, numBins=None):
"""initializer Parameters data : array numBins : no of bins"""
<|body_0|>
def getDistr(self, value):
"""get cumulative distribution Parameters value : value"""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k_train_011745 | 32,264 | permissive | [
{
"docstring": "initializer Parameters data : array numBins : no of bins",
"name": "__init__",
"signature": "def __init__(self, data, numBins=None)"
},
{
"docstring": "get cumulative distribution Parameters value : value",
"name": "getDistr",
"signature": "def getDistr(self, value)"
}
... | 2 | stack_v2_sparse_classes_30k_train_007901 | Implement the Python class `CumDistr` described below.
Class description:
cumulative distr
Method signatures and docstrings:
- def __init__(self, data, numBins=None): initializer Parameters data : array numBins : no of bins
- def getDistr(self, value): get cumulative distribution Parameters value : value | Implement the Python class `CumDistr` described below.
Class description:
cumulative distr
Method signatures and docstrings:
- def __init__(self, data, numBins=None): initializer Parameters data : array numBins : no of bins
- def getDistr(self, value): get cumulative distribution Parameters value : value
<|skeleton|... | 861fd06b6b7abaffe5e8ca795136ab0fbb2234b5 | <|skeleton|>
class CumDistr:
"""cumulative distr"""
def __init__(self, data, numBins=None):
"""initializer Parameters data : array numBins : no of bins"""
<|body_0|>
def getDistr(self, value):
"""get cumulative distribution Parameters value : value"""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CumDistr:
"""cumulative distr"""
def __init__(self, data, numBins=None):
"""initializer Parameters data : array numBins : no of bins"""
if not numBins:
numBins = int(len(data) / 5)
res = stats.cumfreq(data, numbins=numBins)
self.cdistr = res.cumcount / len(data... | the_stack_v2_python_sparse | matumizi/matumizi/sampler.py | pranab/whakapai | train | 18 |
9ceeaecd6eb28b8e2a803aeca3251367da63b365 | [
"StaticPanel.__init__(self, container, *args, **kwargs)\nself.attributes.append(wx.TextCtrl(self, wx.ID_ANY))\nself.attributes.append(wx.TextCtrl(self, wx.ID_ANY))\nself.attributes.append(wx.lib.masked.TimeCtrl(self, wx.ID_ANY, format='24HHMM'))\nself._set_attributes(self.attributes)",
"attributes = []\nfor atr i... | <|body_start_0|>
StaticPanel.__init__(self, container, *args, **kwargs)
self.attributes.append(wx.TextCtrl(self, wx.ID_ANY))
self.attributes.append(wx.TextCtrl(self, wx.ID_ANY))
self.attributes.append(wx.lib.masked.TimeCtrl(self, wx.ID_ANY, format='24HHMM'))
self._set_attributes(... | StaticVacationPanel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StaticVacationPanel:
def __init__(self, container, *args, **kwargs):
"""The default constructor container: a data container object"""
<|body_0|>
def get_attributes(self):
"""Return a list of all attributes. return: a list, that contains this panel's attribute values.... | stack_v2_sparse_classes_36k_train_011746 | 11,497 | no_license | [
{
"docstring": "The default constructor container: a data container object",
"name": "__init__",
"signature": "def __init__(self, container, *args, **kwargs)"
},
{
"docstring": "Return a list of all attributes. return: a list, that contains this panel's attribute values.",
"name": "get_attri... | 3 | null | Implement the Python class `StaticVacationPanel` described below.
Class description:
Implement the StaticVacationPanel class.
Method signatures and docstrings:
- def __init__(self, container, *args, **kwargs): The default constructor container: a data container object
- def get_attributes(self): Return a list of all ... | Implement the Python class `StaticVacationPanel` described below.
Class description:
Implement the StaticVacationPanel class.
Method signatures and docstrings:
- def __init__(self, container, *args, **kwargs): The default constructor container: a data container object
- def get_attributes(self): Return a list of all ... | 781ce419b51b5bd99bbd1b155c03843cb434cb8c | <|skeleton|>
class StaticVacationPanel:
def __init__(self, container, *args, **kwargs):
"""The default constructor container: a data container object"""
<|body_0|>
def get_attributes(self):
"""Return a list of all attributes. return: a list, that contains this panel's attribute values.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StaticVacationPanel:
def __init__(self, container, *args, **kwargs):
"""The default constructor container: a data container object"""
StaticPanel.__init__(self, container, *args, **kwargs)
self.attributes.append(wx.TextCtrl(self, wx.ID_ANY))
self.attributes.append(wx.TextCtrl(s... | the_stack_v2_python_sparse | gui/static_data.py | mcepar1/Scheduler | train | 0 | |
8a52c0796b09aa751af6632b2fa59a85d37cb274 | [
"if not root:\n return 0\nleft_branch = self.maxDepth(root.left) + 1\nright_branch = self.maxDepth(root.right) + 1\nreturn max(left_branch, right_branch)",
"if root.left is None and root.right is None:\n return 0\ndiameter = self.maxDepth(root.left) + self.maxDepth(root.right) + 2\ndiameter_left = self.diam... | <|body_start_0|>
if not root:
return 0
left_branch = self.maxDepth(root.left) + 1
right_branch = self.maxDepth(root.right) + 1
return max(left_branch, right_branch)
<|end_body_0|>
<|body_start_1|>
if root.left is None and root.right is None:
return 0
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxDepth(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def diameterOfBinaryTree(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root:
return 0
... | stack_v2_sparse_classes_36k_train_011747 | 938 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "maxDepth",
"signature": "def maxDepth(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "diameterOfBinaryTree",
"signature": "def diameterOfBinaryTree(self, root)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxDepth(self, root): :type root: TreeNode :rtype: int
- def diameterOfBinaryTree(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 maxDepth(self, root): :type root: TreeNode :rtype: int
- def diameterOfBinaryTree(self, root): :type root: TreeNode :rtype: int
<|skeleton|>
class Solution:
def maxDept... | 85f71621c54f6b0029f3a2746f022f89dd7419d9 | <|skeleton|>
class Solution:
def maxDepth(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def diameterOfBinaryTree(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxDepth(self, root):
""":type root: TreeNode :rtype: int"""
if not root:
return 0
left_branch = self.maxDepth(root.left) + 1
right_branch = self.maxDepth(root.right) + 1
return max(left_branch, right_branch)
def diameterOfBinaryTree(self,... | the_stack_v2_python_sparse | LeetCode/30 days challenge/11_diameter_of_binary_tree.py | XyK0907/for_work | train | 0 | |
f975aeba676a086d3f21a56c6632978aab3212ea | [
"if not triangle:\n return\nfor i in range(len(triangle) - 2, -1, -1):\n for j in range(len(triangle[i])):\n triangle[i][j] += min(triangle[i + 1][j], triangle[i + 1][j + 1])\nreturn triangle[0][0]",
"if not triangle:\n return\npath = triangle[-1]\nfor i in range(len(triangle) - 2, -1, -1):\n f... | <|body_start_0|>
if not triangle:
return
for i in range(len(triangle) - 2, -1, -1):
for j in range(len(triangle[i])):
triangle[i][j] += min(triangle[i + 1][j], triangle[i + 1][j + 1])
return triangle[0][0]
<|end_body_0|>
<|body_start_1|>
if not tr... | Triangle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Triangle:
def get_minimum_sum(self, triangle: List[List[int]]) -> int:
"""Approach: Bottom up :param triangle: :return:"""
<|body_0|>
def get_minimum_sum_(self, triangle: List[List[int]]) -> int:
"""Approach: Bottom up with O(n) space. :param triangle: :return:"""
... | stack_v2_sparse_classes_36k_train_011748 | 1,205 | no_license | [
{
"docstring": "Approach: Bottom up :param triangle: :return:",
"name": "get_minimum_sum",
"signature": "def get_minimum_sum(self, triangle: List[List[int]]) -> int"
},
{
"docstring": "Approach: Bottom up with O(n) space. :param triangle: :return:",
"name": "get_minimum_sum_",
"signature... | 2 | null | Implement the Python class `Triangle` described below.
Class description:
Implement the Triangle class.
Method signatures and docstrings:
- def get_minimum_sum(self, triangle: List[List[int]]) -> int: Approach: Bottom up :param triangle: :return:
- def get_minimum_sum_(self, triangle: List[List[int]]) -> int: Approac... | Implement the Python class `Triangle` described below.
Class description:
Implement the Triangle class.
Method signatures and docstrings:
- def get_minimum_sum(self, triangle: List[List[int]]) -> int: Approach: Bottom up :param triangle: :return:
- def get_minimum_sum_(self, triangle: List[List[int]]) -> int: Approac... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Triangle:
def get_minimum_sum(self, triangle: List[List[int]]) -> int:
"""Approach: Bottom up :param triangle: :return:"""
<|body_0|>
def get_minimum_sum_(self, triangle: List[List[int]]) -> int:
"""Approach: Bottom up with O(n) space. :param triangle: :return:"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Triangle:
def get_minimum_sum(self, triangle: List[List[int]]) -> int:
"""Approach: Bottom up :param triangle: :return:"""
if not triangle:
return
for i in range(len(triangle) - 2, -1, -1):
for j in range(len(triangle[i])):
triangle[i][j] += min(... | the_stack_v2_python_sparse | data_structures/triangle.py | Shiv2157k/leet_code | train | 1 | |
c971e8e50352a731549f84ade9cff29b11634640 | [
"client = get_object_or_404(Client, id=pk)\nform = ClientForm(instance=client)\nreturn render(request, 'client/add-client.html', {'form': form, 'func': 'Update', 'client': client})",
"client = get_object_or_404(Client, id=pk)\nmeasurements_exist = False\nif client.gender == 'M':\n measurements_exist = MaleMeas... | <|body_start_0|>
client = get_object_or_404(Client, id=pk)
form = ClientForm(instance=client)
return render(request, 'client/add-client.html', {'form': form, 'func': 'Update', 'client': client})
<|end_body_0|>
<|body_start_1|>
client = get_object_or_404(Client, id=pk)
measuremen... | Class based view for displaying client detail. | ClientUpdateView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientUpdateView:
"""Class based view for displaying client detail."""
def get(self, request, pk):
"""Return update client form."""
<|body_0|>
def post(self, request, pk):
"""Update client by id ."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_011749 | 5,092 | no_license | [
{
"docstring": "Return update client form.",
"name": "get",
"signature": "def get(self, request, pk)"
},
{
"docstring": "Update client by id .",
"name": "post",
"signature": "def post(self, request, pk)"
}
] | 2 | null | Implement the Python class `ClientUpdateView` described below.
Class description:
Class based view for displaying client detail.
Method signatures and docstrings:
- def get(self, request, pk): Return update client form.
- def post(self, request, pk): Update client by id . | Implement the Python class `ClientUpdateView` described below.
Class description:
Class based view for displaying client detail.
Method signatures and docstrings:
- def get(self, request, pk): Return update client form.
- def post(self, request, pk): Update client by id .
<|skeleton|>
class ClientUpdateView:
"""... | 93c3106ab90fb9aed85658f93f51686ba4734091 | <|skeleton|>
class ClientUpdateView:
"""Class based view for displaying client detail."""
def get(self, request, pk):
"""Return update client form."""
<|body_0|>
def post(self, request, pk):
"""Update client by id ."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClientUpdateView:
"""Class based view for displaying client detail."""
def get(self, request, pk):
"""Return update client form."""
client = get_object_or_404(Client, id=pk)
form = ClientForm(instance=client)
return render(request, 'client/add-client.html', {'form': form, ... | the_stack_v2_python_sparse | client/views/client_views.py | saadali5997/tms | train | 0 |
0163054dd5e092f954f7f7bbfde502a0d55d41df | [
"def recur(i, j):\n if j == 0 or i == j:\n return 1\n else:\n return recur(i - 1, j - 1) + recur(i - 1, j)\nres = []\nfor i in range(numRows):\n tmp = []\n for j in range(i + 1):\n if j == 0 or i == j:\n tmp.append(1)\n else:\n tmp.append(recur(i - 1, j ... | <|body_start_0|>
def recur(i, j):
if j == 0 or i == j:
return 1
else:
return recur(i - 1, j - 1) + recur(i - 1, j)
res = []
for i in range(numRows):
tmp = []
for j in range(i + 1):
if j == 0 or i == j... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generate_1(self, numRows: int) -> List[List[int]]:
"""递归 时间复杂度：O(numRows^3) 空间复杂度：O(numRows^2) :param numRows: :return:"""
<|body_0|>
def generate_2(self, numRows: int) -> List[List[int]]:
"""动态规划 时间复杂度：O(numRows^2) 空间复杂度：O(numRows^2) :param numRows: :r... | stack_v2_sparse_classes_36k_train_011750 | 1,669 | no_license | [
{
"docstring": "递归 时间复杂度：O(numRows^3) 空间复杂度：O(numRows^2) :param numRows: :return:",
"name": "generate_1",
"signature": "def generate_1(self, numRows: int) -> List[List[int]]"
},
{
"docstring": "动态规划 时间复杂度：O(numRows^2) 空间复杂度：O(numRows^2) :param numRows: :return:",
"name": "generate_2",
"s... | 2 | stack_v2_sparse_classes_30k_train_005330 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate_1(self, numRows: int) -> List[List[int]]: 递归 时间复杂度：O(numRows^3) 空间复杂度：O(numRows^2) :param numRows: :return:
- def generate_2(self, numRows: int) -> List[List[int]]: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate_1(self, numRows: int) -> List[List[int]]: 递归 时间复杂度：O(numRows^3) 空间复杂度：O(numRows^2) :param numRows: :return:
- def generate_2(self, numRows: int) -> List[List[int]]: ... | 62419b49000e79962bcdc99cd98afd2fb82ea345 | <|skeleton|>
class Solution:
def generate_1(self, numRows: int) -> List[List[int]]:
"""递归 时间复杂度：O(numRows^3) 空间复杂度：O(numRows^2) :param numRows: :return:"""
<|body_0|>
def generate_2(self, numRows: int) -> List[List[int]]:
"""动态规划 时间复杂度：O(numRows^2) 空间复杂度：O(numRows^2) :param numRows: :r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def generate_1(self, numRows: int) -> List[List[int]]:
"""递归 时间复杂度：O(numRows^3) 空间复杂度：O(numRows^2) :param numRows: :return:"""
def recur(i, j):
if j == 0 or i == j:
return 1
else:
return recur(i - 1, j - 1) + recur(i - 1, j)
... | the_stack_v2_python_sparse | 软件开发岗刷题（华为笔试准备）/递归/generate.py | MaoningGuan/LeetCode | train | 3 | |
a214d2f29db2f663907d95ae4d73163f0414534a | [
"self.crypto = crypto\nself.liveness = liveness\nself.game_instance = game_instance\nself.mailbox = mailbox\nself.agent_name = agent_name",
"tac_msg = TACMessage(tac_type=TACMessage.Type.GET_STATE_UPDATE)\ntac_bytes = TACSerializer().encode(tac_msg)\nself.mailbox.outbox.put_message(to=self.game_instance.controlle... | <|body_start_0|>
self.crypto = crypto
self.liveness = liveness
self.game_instance = game_instance
self.mailbox = mailbox
self.agent_name = agent_name
<|end_body_0|>
<|body_start_1|>
tac_msg = TACMessage(tac_type=TACMessage.Type.GET_STATE_UPDATE)
tac_bytes = TACSe... | The ControllerActions class defines the actions of an agent towards the ControllerAgent. | ControllerActions | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ControllerActions:
"""The ControllerActions class defines the actions of an agent towards the ControllerAgent."""
def __init__(self, crypto: Crypto, liveness: Liveness, game_instance: GameInstance, mailbox: MailBox, agent_name: str) -> None:
"""Instantiate the ControllerActions. :par... | stack_v2_sparse_classes_36k_train_011751 | 12,389 | permissive | [
{
"docstring": "Instantiate the ControllerActions. :param crypto: the crypto module :param liveness: the liveness module :param game_instance: the game instance :param mailbox: the mailbox of the agent :param agent_name: the agent name :return: None",
"name": "__init__",
"signature": "def __init__(self,... | 2 | stack_v2_sparse_classes_30k_train_007813 | Implement the Python class `ControllerActions` described below.
Class description:
The ControllerActions class defines the actions of an agent towards the ControllerAgent.
Method signatures and docstrings:
- def __init__(self, crypto: Crypto, liveness: Liveness, game_instance: GameInstance, mailbox: MailBox, agent_na... | Implement the Python class `ControllerActions` described below.
Class description:
The ControllerActions class defines the actions of an agent towards the ControllerAgent.
Method signatures and docstrings:
- def __init__(self, crypto: Crypto, liveness: Liveness, game_instance: GameInstance, mailbox: MailBox, agent_na... | 33c4aa24ca8daf26f2c8f2d2fa38d7f4bf750cfa | <|skeleton|>
class ControllerActions:
"""The ControllerActions class defines the actions of an agent towards the ControllerAgent."""
def __init__(self, crypto: Crypto, liveness: Liveness, game_instance: GameInstance, mailbox: MailBox, agent_name: str) -> None:
"""Instantiate the ControllerActions. :par... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ControllerActions:
"""The ControllerActions class defines the actions of an agent towards the ControllerAgent."""
def __init__(self, crypto: Crypto, liveness: Liveness, game_instance: GameInstance, mailbox: MailBox, agent_name: str) -> None:
"""Instantiate the ControllerActions. :param crypto: th... | the_stack_v2_python_sparse | tac/agents/participant/v1/base/actions.py | fetchai/agents-tac | train | 30 |
631836f7da85434f1ae1fb81e3ebb35065638ca6 | [
"binds = []\nfor jid, fid, run, lumi in jobFileRunLumis:\n binds.append({'jobid': jid, 'fileid': fid, 'run': run, 'lumi': lumi})\nreturn binds",
"if jobFileRunLumis:\n binds = self.getBinds(jobFileRunLumis)\nelif jobid and fileid and run and lumi:\n binds = DBFormatter.getBinds(self, jobid=jobid, fileid=... | <|body_start_0|>
binds = []
for jid, fid, run, lumi in jobFileRunLumis:
binds.append({'jobid': jid, 'fileid': fid, 'run': run, 'lumi': lumi})
return binds
<|end_body_0|>
<|body_start_1|>
if jobFileRunLumis:
binds = self.getBinds(jobFileRunLumis)
elif jobi... | Add WorkUnit associations to jobs | AddWorkUnits | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddWorkUnits:
"""Add WorkUnit associations to jobs"""
def getBinds(self, jobFileRunLumis):
"""Translate a bulk list into a number of inserts Args: jobFileRunLumis: a list of tuples of the form [(jobid, fileid, run, lumi), ...] Returns: N/A"""
<|body_0|>
def execute(self,... | stack_v2_sparse_classes_36k_train_011752 | 2,035 | permissive | [
{
"docstring": "Translate a bulk list into a number of inserts Args: jobFileRunLumis: a list of tuples of the form [(jobid, fileid, run, lumi), ...] Returns: N/A",
"name": "getBinds",
"signature": "def getBinds(self, jobFileRunLumis)"
},
{
"docstring": "Args: jobid: The id of a single job fileid... | 2 | stack_v2_sparse_classes_30k_train_008656 | Implement the Python class `AddWorkUnits` described below.
Class description:
Add WorkUnit associations to jobs
Method signatures and docstrings:
- def getBinds(self, jobFileRunLumis): Translate a bulk list into a number of inserts Args: jobFileRunLumis: a list of tuples of the form [(jobid, fileid, run, lumi), ...] ... | Implement the Python class `AddWorkUnits` described below.
Class description:
Add WorkUnit associations to jobs
Method signatures and docstrings:
- def getBinds(self, jobFileRunLumis): Translate a bulk list into a number of inserts Args: jobFileRunLumis: a list of tuples of the form [(jobid, fileid, run, lumi), ...] ... | de110ccf6fc63ef5589b4e871ef4d51d5bce7a25 | <|skeleton|>
class AddWorkUnits:
"""Add WorkUnit associations to jobs"""
def getBinds(self, jobFileRunLumis):
"""Translate a bulk list into a number of inserts Args: jobFileRunLumis: a list of tuples of the form [(jobid, fileid, run, lumi), ...] Returns: N/A"""
<|body_0|>
def execute(self,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddWorkUnits:
"""Add WorkUnit associations to jobs"""
def getBinds(self, jobFileRunLumis):
"""Translate a bulk list into a number of inserts Args: jobFileRunLumis: a list of tuples of the form [(jobid, fileid, run, lumi), ...] Returns: N/A"""
binds = []
for jid, fid, run, lumi in ... | the_stack_v2_python_sparse | src/python/WMCore/WMBS/MySQL/Jobs/AddWorkUnits.py | vkuznet/WMCore | train | 0 |
0bbf15f3c8623d96deaef7161dc9a8c071aa731e | [
"m, n = (len(grid), len(grid[0]))\nstart = None\ncnt = 0\nfor i in range(m):\n for j in range(n):\n if grid[i][j] == 0:\n cnt += 1\n elif grid[i][j] == 1:\n start = (i, j)\n\ndef dfs(i, j, c=0):\n if grid[i][j] == 2 and c == cnt + 1:\n return 1\n saved = grid[i][j... | <|body_start_0|>
m, n = (len(grid), len(grid[0]))
start = None
cnt = 0
for i in range(m):
for j in range(n):
if grid[i][j] == 0:
cnt += 1
elif grid[i][j] == 1:
start = (i, j)
def dfs(i, j, c=0):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def uniquePathsIII(self, grid: List[List[int]]) -> int:
"""Nov 13, 2021 10:23 DFS"""
<|body_0|>
def uniquePathsIII(self, grid: List[List[int]]) -> int:
"""Feb 19, 2023 22:45"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
m, n = (len(grid)... | stack_v2_sparse_classes_36k_train_011753 | 3,805 | no_license | [
{
"docstring": "Nov 13, 2021 10:23 DFS",
"name": "uniquePathsIII",
"signature": "def uniquePathsIII(self, grid: List[List[int]]) -> int"
},
{
"docstring": "Feb 19, 2023 22:45",
"name": "uniquePathsIII",
"signature": "def uniquePathsIII(self, grid: List[List[int]]) -> int"
}
] | 2 | stack_v2_sparse_classes_30k_train_001037 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def uniquePathsIII(self, grid: List[List[int]]) -> int: Nov 13, 2021 10:23 DFS
- def uniquePathsIII(self, grid: List[List[int]]) -> int: Feb 19, 2023 22:45 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def uniquePathsIII(self, grid: List[List[int]]) -> int: Nov 13, 2021 10:23 DFS
- def uniquePathsIII(self, grid: List[List[int]]) -> int: Feb 19, 2023 22:45
<|skeleton|>
class So... | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | <|skeleton|>
class Solution:
def uniquePathsIII(self, grid: List[List[int]]) -> int:
"""Nov 13, 2021 10:23 DFS"""
<|body_0|>
def uniquePathsIII(self, grid: List[List[int]]) -> int:
"""Feb 19, 2023 22:45"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def uniquePathsIII(self, grid: List[List[int]]) -> int:
"""Nov 13, 2021 10:23 DFS"""
m, n = (len(grid), len(grid[0]))
start = None
cnt = 0
for i in range(m):
for j in range(n):
if grid[i][j] == 0:
cnt += 1
... | the_stack_v2_python_sparse | leetcode/solved/1022_Unique_Paths_III/solution.py | sungminoh/algorithms | train | 0 | |
839c4a99e88f806b5a193287d47e6d345229e947 | [
"service = self.context['service']\nif service.is_active:\n raise serializers.ValidationError('You need to finish the Service after write a review.')\ndata['service'] = service\nreturn data",
"user_bbs = data['service'].user_bbs.user_bbs\nreview = Review.objects.create(service_origin=data['service'], review=da... | <|body_start_0|>
service = self.context['service']
if service.is_active:
raise serializers.ValidationError('You need to finish the Service after write a review.')
data['service'] = service
return data
<|end_body_0|>
<|body_start_1|>
user_bbs = data['service'].user_bb... | Create Review Serializer. | CreateReviewModelSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateReviewModelSerializer:
"""Create Review Serializer."""
def validate(self, data):
"""Validate if the service ends in the momento of the review."""
<|body_0|>
def create(self, data):
"""Create the review."""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_36k_train_011754 | 1,727 | permissive | [
{
"docstring": "Validate if the service ends in the momento of the review.",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstring": "Create the review.",
"name": "create",
"signature": "def create(self, data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014066 | Implement the Python class `CreateReviewModelSerializer` described below.
Class description:
Create Review Serializer.
Method signatures and docstrings:
- def validate(self, data): Validate if the service ends in the momento of the review.
- def create(self, data): Create the review. | Implement the Python class `CreateReviewModelSerializer` described below.
Class description:
Create Review Serializer.
Method signatures and docstrings:
- def validate(self, data): Validate if the service ends in the momento of the review.
- def create(self, data): Create the review.
<|skeleton|>
class CreateReviewM... | 5c37c6876ca13b5794ac44e0342b810426acbc76 | <|skeleton|>
class CreateReviewModelSerializer:
"""Create Review Serializer."""
def validate(self, data):
"""Validate if the service ends in the momento of the review."""
<|body_0|>
def create(self, data):
"""Create the review."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CreateReviewModelSerializer:
"""Create Review Serializer."""
def validate(self, data):
"""Validate if the service ends in the momento of the review."""
service = self.context['service']
if service.is_active:
raise serializers.ValidationError('You need to finish the Ser... | the_stack_v2_python_sparse | hisitter/reviews/serializers.py | babysitter-finder/backend | train | 1 |
0597a2d0a0628f71426bdb55db6f9bd717e65c30 | [
"if not (filename is None) ^ (maskobject is None):\n raise ValueError('You have to provide either a file name or a Mask object')\nelif not maskobject is None:\n if not isinstance(maskobject, Mask):\n raise ValueError('maskobject must be an instance of Mask')\n base_mask = maskobject.mask\n self._... | <|body_start_0|>
if not (filename is None) ^ (maskobject is None):
raise ValueError('You have to provide either a file name or a Mask object')
elif not maskobject is None:
if not isinstance(maskobject, Mask):
raise ValueError('maskobject must be an instance of Mas... | Defines a submask starting from a ComposedBasin object and a NetCDF file or a Mask object | ComposedSubMask | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComposedSubMask:
"""Defines a submask starting from a ComposedBasin object and a NetCDF file or a Mask object"""
def __init__(self, basin, filename=None, maskobject=None, maskvarname='tmask', zlevelsvar='nav_lev', ylevelsmatvar='nav_lat', xlevelsmatvar='nav_lon', dzvarname='e3t'):
""... | stack_v2_sparse_classes_36k_train_011755 | 4,524 | no_license | [
{
"docstring": "ComposedSubMask constructor Args: - *basin*: a ComposedBasin object. - *filename*: the path to a NetCDF file. - *maskobject*: a Mask object. Caveats: - *filename* and *maskobject* are mutually exclusive.",
"name": "__init__",
"signature": "def __init__(self, basin, filename=None, maskobj... | 2 | stack_v2_sparse_classes_30k_test_000120 | Implement the Python class `ComposedSubMask` described below.
Class description:
Defines a submask starting from a ComposedBasin object and a NetCDF file or a Mask object
Method signatures and docstrings:
- def __init__(self, basin, filename=None, maskobject=None, maskvarname='tmask', zlevelsvar='nav_lev', ylevelsmat... | Implement the Python class `ComposedSubMask` described below.
Class description:
Defines a submask starting from a ComposedBasin object and a NetCDF file or a Mask object
Method signatures and docstrings:
- def __init__(self, basin, filename=None, maskobject=None, maskvarname='tmask', zlevelsvar='nav_lev', ylevelsmat... | 985f34c2214ea55cd4d324704847d5a0d2a9de1e | <|skeleton|>
class ComposedSubMask:
"""Defines a submask starting from a ComposedBasin object and a NetCDF file or a Mask object"""
def __init__(self, basin, filename=None, maskobject=None, maskvarname='tmask', zlevelsvar='nav_lev', ylevelsmatvar='nav_lat', xlevelsmatvar='nav_lon', dzvarname='e3t'):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ComposedSubMask:
"""Defines a submask starting from a ComposedBasin object and a NetCDF file or a Mask object"""
def __init__(self, basin, filename=None, maskobject=None, maskvarname='tmask', zlevelsvar='nav_lev', ylevelsmatvar='nav_lat', xlevelsmatvar='nav_lon', dzvarname='e3t'):
"""ComposedSubM... | the_stack_v2_python_sparse | commons/composedsubmask.py | inogs/bit.sea | train | 4 |
81b6f4e1c22093d23e46af50fe947a8d93a89e39 | [
"A = solution1[:point].append(solution2[point:])\nB = solution2[:point].append(solution1[point:])\nreturn (A, B)",
"A = solution1\nB = solution2\nfor p in points:\n A, B = Crossover.single_point_crossover(A, B, p)\nreturn (A, B)",
"A = solution1\nB = solution2\nfor i in range(len(chances)):\n if chances[i... | <|body_start_0|>
A = solution1[:point].append(solution2[point:])
B = solution2[:point].append(solution1[point:])
return (A, B)
<|end_body_0|>
<|body_start_1|>
A = solution1
B = solution2
for p in points:
A, B = Crossover.single_point_crossover(A, B, p)
... | Crossover | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Crossover:
def single_point_crossover(solution1: List[Tuple[str, int]], solution2: List[Tuple[str, int]], point: int) -> Tuple[Tuple[str, int], Tuple[str, int]]:
"""Returns two children solutions based on a single-point crossover between the two given solutions. Complexity: O(n), with n ... | stack_v2_sparse_classes_36k_train_011756 | 19,927 | no_license | [
{
"docstring": "Returns two children solutions based on a single-point crossover between the two given solutions. Complexity: O(n), with n being the solution size. Args: solution1: One solution to be used in crossover with size N. solution2: Another solution to be used in crossover with size N. point: An intege... | 3 | stack_v2_sparse_classes_30k_train_003061 | Implement the Python class `Crossover` described below.
Class description:
Implement the Crossover class.
Method signatures and docstrings:
- def single_point_crossover(solution1: List[Tuple[str, int]], solution2: List[Tuple[str, int]], point: int) -> Tuple[Tuple[str, int], Tuple[str, int]]: Returns two children solu... | Implement the Python class `Crossover` described below.
Class description:
Implement the Crossover class.
Method signatures and docstrings:
- def single_point_crossover(solution1: List[Tuple[str, int]], solution2: List[Tuple[str, int]], point: int) -> Tuple[Tuple[str, int], Tuple[str, int]]: Returns two children solu... | f1e705a80f60d28d56f3a1c2e0b700438078496c | <|skeleton|>
class Crossover:
def single_point_crossover(solution1: List[Tuple[str, int]], solution2: List[Tuple[str, int]], point: int) -> Tuple[Tuple[str, int], Tuple[str, int]]:
"""Returns two children solutions based on a single-point crossover between the two given solutions. Complexity: O(n), with n ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Crossover:
def single_point_crossover(solution1: List[Tuple[str, int]], solution2: List[Tuple[str, int]], point: int) -> Tuple[Tuple[str, int], Tuple[str, int]]:
"""Returns two children solutions based on a single-point crossover between the two given solutions. Complexity: O(n), with n being the solu... | the_stack_v2_python_sparse | code/python/genetic.py | akahenry/INF05100_Problems | train | 0 | |
7024ebf9f75940fdd27ee55f36921a0b488fa1c4 | [
"Serializable._init(self, locals())\nsuper().__init__(min_rollouts=min_rollouts, min_steps=min_steps)\nself.env = env\nself.policy = policy\nself.show_progress_bar = show_progress_bar\nif mp.get_start_method(allow_none=True) != 'spawn':\n mp.set_start_method('spawn', force=True)\nself.pool = SamplerPool(num_work... | <|body_start_0|>
Serializable._init(self, locals())
super().__init__(min_rollouts=min_rollouts, min_steps=min_steps)
self.env = env
self.policy = policy
self.show_progress_bar = show_progress_bar
if mp.get_start_method(allow_none=True) != 'spawn':
mp.set_start... | Class for sampling from multiple environments in parallel | ParallelRolloutSampler | [
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParallelRolloutSampler:
"""Class for sampling from multiple environments in parallel"""
def __init__(self, env, policy, num_workers: int, *, min_rollouts: int=None, min_steps: int=None, show_progress_bar: bool=True, seed: int=NO_SEED_PASSED):
"""Constructor :param env: environment to... | stack_v2_sparse_classes_36k_train_011757 | 13,009 | permissive | [
{
"docstring": "Constructor :param env: environment to sample from :param policy: policy to act in the environment (can also be an exploration strategy) :param num_workers: number of parallel samplers :param min_rollouts: minimum number of complete rollouts to sample :param min_steps: minimum total number of st... | 3 | null | Implement the Python class `ParallelRolloutSampler` described below.
Class description:
Class for sampling from multiple environments in parallel
Method signatures and docstrings:
- def __init__(self, env, policy, num_workers: int, *, min_rollouts: int=None, min_steps: int=None, show_progress_bar: bool=True, seed: in... | Implement the Python class `ParallelRolloutSampler` described below.
Class description:
Class for sampling from multiple environments in parallel
Method signatures and docstrings:
- def __init__(self, env, policy, num_workers: int, *, min_rollouts: int=None, min_steps: int=None, show_progress_bar: bool=True, seed: in... | d7e9cd191ccb318d5f1e580babc2fc38b5b3675a | <|skeleton|>
class ParallelRolloutSampler:
"""Class for sampling from multiple environments in parallel"""
def __init__(self, env, policy, num_workers: int, *, min_rollouts: int=None, min_steps: int=None, show_progress_bar: bool=True, seed: int=NO_SEED_PASSED):
"""Constructor :param env: environment to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ParallelRolloutSampler:
"""Class for sampling from multiple environments in parallel"""
def __init__(self, env, policy, num_workers: int, *, min_rollouts: int=None, min_steps: int=None, show_progress_bar: bool=True, seed: int=NO_SEED_PASSED):
"""Constructor :param env: environment to sample from ... | the_stack_v2_python_sparse | Pyrado/pyrado/sampling/parallel_rollout_sampler.py | 1abner1/SimuRLacra | train | 0 |
36734cf3c512acf2f182a9646fa3739df805df66 | [
"super().__init__(mt_constant)\nself.mt_namespace = get_namespace(mt_constant, command=True)\nself.mt_endpoint = get_command(mt_constant)\nself.channel = get_channel_from_connection(self.connection)\nself.publish_schema_types = get_schema_types_from_file(mt_constant['command_json_file'])\nself.event_consumer = self... | <|body_start_0|>
super().__init__(mt_constant)
self.mt_namespace = get_namespace(mt_constant, command=True)
self.mt_endpoint = get_command(mt_constant)
self.channel = get_channel_from_connection(self.connection)
self.publish_schema_types = get_schema_types_from_file(mt_constant['... | Class for simplifying publish message from Python to MassTransit (MT) and consuming for events messages | MTPublisher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MTPublisher:
"""Class for simplifying publish message from Python to MassTransit (MT) and consuming for events messages"""
def __init__(self, mt_constant):
"""Method for define all needed for publishing variables. :param mt_constant: dict with emulation of MT interfaces"""
<|... | stack_v2_sparse_classes_36k_train_011758 | 14,450 | permissive | [
{
"docstring": "Method for define all needed for publishing variables. :param mt_constant: dict with emulation of MT interfaces",
"name": "__init__",
"signature": "def __init__(self, mt_constant)"
},
{
"docstring": "Method for publish message to MT listener exchange. Declare needed exchange, the... | 2 | stack_v2_sparse_classes_30k_test_000337 | Implement the Python class `MTPublisher` described below.
Class description:
Class for simplifying publish message from Python to MassTransit (MT) and consuming for events messages
Method signatures and docstrings:
- def __init__(self, mt_constant): Method for define all needed for publishing variables. :param mt_con... | Implement the Python class `MTPublisher` described below.
Class description:
Class for simplifying publish message from Python to MassTransit (MT) and consuming for events messages
Method signatures and docstrings:
- def __init__(self, mt_constant): Method for define all needed for publishing variables. :param mt_con... | 0c9beacc4a98c3f55ed56969a8b7eb84c4209c21 | <|skeleton|>
class MTPublisher:
"""Class for simplifying publish message from Python to MassTransit (MT) and consuming for events messages"""
def __init__(self, mt_constant):
"""Method for define all needed for publishing variables. :param mt_constant: dict with emulation of MT interfaces"""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MTPublisher:
"""Class for simplifying publish message from Python to MassTransit (MT) and consuming for events messages"""
def __init__(self, mt_constant):
"""Method for define all needed for publishing variables. :param mt_constant: dict with emulation of MT interfaces"""
super().__init_... | the_stack_v2_python_sparse | Source/sds_tools/mass_transit/MTMessageProcessor.py | ArqiSoft/ml-services | train | 0 |
dd43ce02f33278a95bd15939bedba4f5b814ce13 | [
"defaults = {'decimal_places': 2, 'max_digits': 11}\ndefaults.update(kwargs)\nsuper().__init__(*args, **defaults)",
"val = data.get(self.name)\nif isinstance(val, str):\n return decimal.Decimal(val)\nif val is not None:\n return val / decimal.Decimal('100')"
] | <|body_start_0|>
defaults = {'decimal_places': 2, 'max_digits': 11}
defaults.update(kwargs)
super().__init__(*args, **defaults)
<|end_body_0|>
<|body_start_1|>
val = data.get(self.name)
if isinstance(val, str):
return decimal.Decimal(val)
if val is not None:
... | A legacy field to store currency amounts in dollars (etc). Stripe is always in cents. Historically djstripe stored everything in dollars. Note: Don't use this for new fields, use StripeQuantumCurrencyAmountField instead. We're planning on migrating existing fields in dj-stripe 3.0, see https://github.com/dj-stripe/dj-s... | StripeDecimalCurrencyAmountField | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StripeDecimalCurrencyAmountField:
"""A legacy field to store currency amounts in dollars (etc). Stripe is always in cents. Historically djstripe stored everything in dollars. Note: Don't use this for new fields, use StripeQuantumCurrencyAmountField instead. We're planning on migrating existing fi... | stack_v2_sparse_classes_36k_train_011759 | 6,138 | permissive | [
{
"docstring": "Assign default args to this field. By contacting stripe support, some accounts will have their limit raised to 11 digits",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Convert the raw value to decimal representation.",
"name": "str... | 2 | stack_v2_sparse_classes_30k_train_008324 | Implement the Python class `StripeDecimalCurrencyAmountField` described below.
Class description:
A legacy field to store currency amounts in dollars (etc). Stripe is always in cents. Historically djstripe stored everything in dollars. Note: Don't use this for new fields, use StripeQuantumCurrencyAmountField instead. ... | Implement the Python class `StripeDecimalCurrencyAmountField` described below.
Class description:
A legacy field to store currency amounts in dollars (etc). Stripe is always in cents. Historically djstripe stored everything in dollars. Note: Don't use this for new fields, use StripeQuantumCurrencyAmountField instead. ... | ee04b2ea6850e9bc5d8c382bd32cbf21e696c281 | <|skeleton|>
class StripeDecimalCurrencyAmountField:
"""A legacy field to store currency amounts in dollars (etc). Stripe is always in cents. Historically djstripe stored everything in dollars. Note: Don't use this for new fields, use StripeQuantumCurrencyAmountField instead. We're planning on migrating existing fi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StripeDecimalCurrencyAmountField:
"""A legacy field to store currency amounts in dollars (etc). Stripe is always in cents. Historically djstripe stored everything in dollars. Note: Don't use this for new fields, use StripeQuantumCurrencyAmountField instead. We're planning on migrating existing fields in dj-st... | the_stack_v2_python_sparse | djstripe/fields.py | dj-stripe/dj-stripe | train | 1,178 |
204837e6365227f2b5c9259cee61720831530093 | [
"f = self.RequiredForm()\np = f.as_p()\nself.assert_('<input type=\"file\" name=\"files[]\" id=\"id_files0\" />' in p)",
"f = self.MultiForm()\np = f.as_p()\nself.assert_('<input type=\"file\" name=\"files[]\" id=\"id_files0\" />' in p)\nself.assert_('<input type=\"file\" name=\"files[]\" id=\"id_files1\" />' in ... | <|body_start_0|>
f = self.RequiredForm()
p = f.as_p()
self.assert_('<input type="file" name="files[]" id="id_files0" />' in p)
<|end_body_0|>
<|body_start_1|>
f = self.MultiForm()
p = f.as_p()
self.assert_('<input type="file" name="files[]" id="id_files0" />' in p)
... | Tests that MultiFileField field. | MultiFileFieldTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiFileFieldTest:
"""Tests that MultiFileField field."""
def testOneRender(self):
"""Test the rendering of a MultiFileField with 1 input box."""
<|body_0|>
def testTwoRender(self):
"""Test the rendering of a MultiFileField with 2 input boxes."""
<|body_... | stack_v2_sparse_classes_36k_train_011760 | 3,598 | no_license | [
{
"docstring": "Test the rendering of a MultiFileField with 1 input box.",
"name": "testOneRender",
"signature": "def testOneRender(self)"
},
{
"docstring": "Test the rendering of a MultiFileField with 2 input boxes.",
"name": "testTwoRender",
"signature": "def testTwoRender(self)"
},
... | 4 | stack_v2_sparse_classes_30k_train_019007 | Implement the Python class `MultiFileFieldTest` described below.
Class description:
Tests that MultiFileField field.
Method signatures and docstrings:
- def testOneRender(self): Test the rendering of a MultiFileField with 1 input box.
- def testTwoRender(self): Test the rendering of a MultiFileField with 2 input boxe... | Implement the Python class `MultiFileFieldTest` described below.
Class description:
Tests that MultiFileField field.
Method signatures and docstrings:
- def testOneRender(self): Test the rendering of a MultiFileField with 1 input box.
- def testTwoRender(self): Test the rendering of a MultiFileField with 2 input boxe... | 2791145f62a7e296be859a400499812b394249e9 | <|skeleton|>
class MultiFileFieldTest:
"""Tests that MultiFileField field."""
def testOneRender(self):
"""Test the rendering of a MultiFileField with 1 input box."""
<|body_0|>
def testTwoRender(self):
"""Test the rendering of a MultiFileField with 2 input boxes."""
<|body_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiFileFieldTest:
"""Tests that MultiFileField field."""
def testOneRender(self):
"""Test the rendering of a MultiFileField with 1 input box."""
f = self.RequiredForm()
p = f.as_p()
self.assert_('<input type="file" name="files[]" id="id_files0" />' in p)
def testTwo... | the_stack_v2_python_sparse | combaragi/ccboard/tests.py | yonseics/yonseics | train | 1 |
7f75d1b3bbc723b39b9583ca46207a30e61119d4 | [
"def traverse(root):\n if root:\n data.append(str(root.val))\n traverse(root.left)\n traverse(root.right)\n else:\n data.append('#')\ndata = []\ntraverse(root)\nreturn ' '.join(data)",
"def build():\n val = array.next()\n if val == '#':\n return None\n node = Tree... | <|body_start_0|>
def traverse(root):
if root:
data.append(str(root.val))
traverse(root.left)
traverse(root.right)
else:
data.append('#')
data = []
traverse(root)
return ' '.join(data)
<|end_body_0|>
... | 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_36k_train_011761 | 1,307 | 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_val_000250 | 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:... | 9dffc419af45709d95d2ab5dc163461d254140c4 | <|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_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def traverse(root):
if root:
data.append(str(root.val))
traverse(root.left)
traverse(root.right)
else:
... | the_stack_v2_python_sparse | Trees/serialize_deserialize.py | TedWildenradt/CTCI-Python | train | 0 | |
1afa227e05651e0d3dcc5cb1be9521895a2ed293 | [
"srcs = var_to_list(srcs)\ndeps = var_to_list(deps)\nextra_cppflags = var_to_list(extra_cppflags)\nextra_linkflags = var_to_list(extra_linkflags)\nCcTarget.__init__(self, name, target_type, srcs, deps, None, warning, defs, incs, [], [], extra_cppflags, extra_linkflags, blade, kwargs)",
"nvcc_flags = []\nif self.d... | <|body_start_0|>
srcs = var_to_list(srcs)
deps = var_to_list(deps)
extra_cppflags = var_to_list(extra_cppflags)
extra_linkflags = var_to_list(extra_linkflags)
CcTarget.__init__(self, name, target_type, srcs, deps, None, warning, defs, incs, [], [], extra_cppflags, extra_linkflags... | A scons cu target subclass. This class is derived from SconsCcTarget and it is the base class of cu_library, cu_binary etc. | CuTarget | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CuTarget:
"""A scons cu target subclass. This class is derived from SconsCcTarget and it is the base class of cu_library, cu_binary etc."""
def __init__(self, name, target_type, srcs, deps, warning, defs, incs, extra_cppflags, extra_linkflags, blade, kwargs):
"""Init method. Init the... | stack_v2_sparse_classes_36k_train_011762 | 10,571 | permissive | [
{
"docstring": "Init method. Init the cu target.",
"name": "__init__",
"signature": "def __init__(self, name, target_type, srcs, deps, warning, defs, incs, extra_cppflags, extra_linkflags, blade, kwargs)"
},
{
"docstring": "_get_cu_flags. Return the nvcc flags according to the BUILD file and oth... | 3 | stack_v2_sparse_classes_30k_val_001188 | Implement the Python class `CuTarget` described below.
Class description:
A scons cu target subclass. This class is derived from SconsCcTarget and it is the base class of cu_library, cu_binary etc.
Method signatures and docstrings:
- def __init__(self, name, target_type, srcs, deps, warning, defs, incs, extra_cppflag... | Implement the Python class `CuTarget` described below.
Class description:
A scons cu target subclass. This class is derived from SconsCcTarget and it is the base class of cu_library, cu_binary etc.
Method signatures and docstrings:
- def __init__(self, name, target_type, srcs, deps, warning, defs, incs, extra_cppflag... | a7da427617885546c5b5e07aa7740b3dee690337 | <|skeleton|>
class CuTarget:
"""A scons cu target subclass. This class is derived from SconsCcTarget and it is the base class of cu_library, cu_binary etc."""
def __init__(self, name, target_type, srcs, deps, warning, defs, incs, extra_cppflags, extra_linkflags, blade, kwargs):
"""Init method. Init the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CuTarget:
"""A scons cu target subclass. This class is derived from SconsCcTarget and it is the base class of cu_library, cu_binary etc."""
def __init__(self, name, target_type, srcs, deps, warning, defs, incs, extra_cppflags, extra_linkflags, blade, kwargs):
"""Init method. Init the cu target.""... | the_stack_v2_python_sparse | build_tools/typhoon-blade/src/blade/cu_targets.py | algo-data-platform/PredictorService | train | 3 |
5f36120cfe2eb3459e1c85f1ea1cf7fef8ad9bbf | [
"previous_index = 0\ntotal_profit = 0\nfor index in range(0, len(prices)):\n if previous_index == index:\n continue\n previous_price = prices[previous_index]\n current_price = prices[index]\n if previous_price < current_price:\n total_profit += current_price - previous_price\n previous_... | <|body_start_0|>
previous_index = 0
total_profit = 0
for index in range(0, len(prices)):
if previous_index == index:
continue
previous_price = prices[previous_index]
current_price = prices[index]
if previous_price < current_price:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
previous_index = 0
total_profi... | stack_v2_sparse_classes_36k_train_011763 | 1,420 | no_license | [
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "removeDuplicates",
"signature": "def removeDuplicates(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002496 | 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 removeDuplicates(self, nums): :type nums: List[int] :rtype: int | 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 removeDuplicates(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxP... | dae0a5e6e688a34e6b870a93ecb210416a54d67a | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
previous_index = 0
total_profit = 0
for index in range(0, len(prices)):
if previous_index == index:
continue
previous_price = prices[previous_index]
... | the_stack_v2_python_sparse | python/algorithms/arrays/max_profit.py | nathanle89/interview | train | 0 | |
0386f5ec419b6208473417122e44d6727a148020 | [
"repository = self.object\ngh = self.gh\nif not gh:\n return\nrepository.check_hook(gh)\nreturn repository.hook_set",
"if not result:\n CheckRepositoryEvents.add_job(self.identifier.hget())\nelse:\n for j in CheckRepositoryEvents.collection(queued=1, identifier=self.identifier.hget()).instances():\n ... | <|body_start_0|>
repository = self.object
gh = self.gh
if not gh:
return
repository.check_hook(gh)
return repository.hook_set
<|end_body_0|>
<|body_start_1|>
if not result:
CheckRepositoryEvents.add_job(self.identifier.hget())
else:
... | Every 15 minutes (+-2mn), check if the hook is set and if None and if there is no job to fetch events every minute, create one. | CheckRepositoryHook | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheckRepositoryHook:
"""Every 15 minutes (+-2mn), check if the hook is set and if None and if there is no job to fetch events every minute, create one."""
def run(self, queue):
"""Check if the hook exist for this modele. If not, try to add a job to start checking events every minute ... | stack_v2_sparse_classes_36k_train_011764 | 3,018 | no_license | [
{
"docstring": "Check if the hook exist for this modele. If not, try to add a job to start checking events every minute (if one already exists, no new one will be added)",
"name": "run",
"signature": "def run(self, queue)"
},
{
"docstring": "If the repository hook is not set, add a job to fetch ... | 2 | stack_v2_sparse_classes_30k_train_009974 | Implement the Python class `CheckRepositoryHook` described below.
Class description:
Every 15 minutes (+-2mn), check if the hook is set and if None and if there is no job to fetch events every minute, create one.
Method signatures and docstrings:
- def run(self, queue): Check if the hook exist for this modele. If not... | Implement the Python class `CheckRepositoryHook` described below.
Class description:
Every 15 minutes (+-2mn), check if the hook is set and if None and if there is no job to fetch events every minute, create one.
Method signatures and docstrings:
- def run(self, queue): Check if the hook exist for this modele. If not... | 63a405b993e77f10b9c2b6d9790aae7576d9d84f | <|skeleton|>
class CheckRepositoryHook:
"""Every 15 minutes (+-2mn), check if the hook is set and if None and if there is no job to fetch events every minute, create one."""
def run(self, queue):
"""Check if the hook exist for this modele. If not, try to add a job to start checking events every minute ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CheckRepositoryHook:
"""Every 15 minutes (+-2mn), check if the hook is set and if None and if there is no job to fetch events every minute, create one."""
def run(self, queue):
"""Check if the hook exist for this modele. If not, try to add a job to start checking events every minute (if one alrea... | the_stack_v2_python_sparse | gim/hooks/tasks.py | derekey/github-issues-manager | train | 1 |
e79169cb4dd3e72ae82dc4ace9ff963f4bd274b8 | [
"self.log_dev_name = device_name\nself.__driver_logger = logging.getLogger(__name__)\nself.__is_log_out = True\nif len(self.__driver_logger.handlers) == 0:\n self.__driver_logger.propagate = False\n if len(GlobalModule.EM_LOGGER.handlers) != 2:\n raise ValueError('not 2rotate handler')\n for i in ra... | <|body_start_0|>
self.log_dev_name = device_name
self.__driver_logger = logging.getLogger(__name__)
self.__is_log_out = True
if len(self.__driver_logger.handlers) == 0:
self.__driver_logger.propagate = False
if len(GlobalModule.EM_LOGGER.handlers) != 2:
... | Log output class for the individual section on the driver | EmDriverCommonUtilityLog | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmDriverCommonUtilityLog:
"""Log output class for the individual section on the driver"""
def __init__(self, device_name=None):
"""Constructor"""
<|body_0|>
def logging(self, device_name=None, log_level=None, log_message=None, log_module=' '):
"""Log output (Indi... | stack_v2_sparse_classes_36k_train_011765 | 3,487 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, device_name=None)"
},
{
"docstring": "Log output (Individual section on the driver) Explanation about parameter: device_name: Device name log_level: Log level (DEBUG,INFO,WARN,ERROR) log_message: Log message log_m... | 3 | stack_v2_sparse_classes_30k_train_011745 | Implement the Python class `EmDriverCommonUtilityLog` described below.
Class description:
Log output class for the individual section on the driver
Method signatures and docstrings:
- def __init__(self, device_name=None): Constructor
- def logging(self, device_name=None, log_level=None, log_message=None, log_module='... | Implement the Python class `EmDriverCommonUtilityLog` described below.
Class description:
Log output class for the individual section on the driver
Method signatures and docstrings:
- def __init__(self, device_name=None): Constructor
- def logging(self, device_name=None, log_level=None, log_message=None, log_module='... | e550d1b5ec9419f1fb3eb6e058ce46b57c92ee2f | <|skeleton|>
class EmDriverCommonUtilityLog:
"""Log output class for the individual section on the driver"""
def __init__(self, device_name=None):
"""Constructor"""
<|body_0|>
def logging(self, device_name=None, log_level=None, log_message=None, log_module=' '):
"""Log output (Indi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmDriverCommonUtilityLog:
"""Log output class for the individual section on the driver"""
def __init__(self, device_name=None):
"""Constructor"""
self.log_dev_name = device_name
self.__driver_logger = logging.getLogger(__name__)
self.__is_log_out = True
if len(self... | the_stack_v2_python_sparse | lib/DriverUtility/EmDriverCommonUtilityLog.py | lixiaochun/element-manager | train | 0 |
e18d5320abe75fc8ec7b1bb62af5d5d92d12368c | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('jliang24_tpotye', 'jliang24_tpotye')\nrepo.dropPermanent('policeHospitalData')\nrepo.createPermanent('policeHospitalData')\nnumPolice = []\nnumHospital = []\nfor entry in repo.jliang24_tpotye.police.find... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('jliang24_tpotye', 'jliang24_tpotye')
repo.dropPermanent('policeHospitalData')
repo.createPermanent('policeHospitalData')
numPolice = []
... | policeHospital | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class policeHospital:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everythin... | stack_v2_sparse_classes_36k_train_011766 | 4,759 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | stack_v2_sparse_classes_30k_train_003696 | Implement the Python class `policeHospital` described below.
Class description:
Implement the policeHospital class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None,... | Implement the Python class `policeHospital` described below.
Class description:
Implement the policeHospital class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None,... | 97e72731ffadbeae57d7a332decd58706e7c08de | <|skeleton|>
class policeHospital:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everythin... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class policeHospital:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('jliang24_tpotye', 'jliang24_tpotye')... | the_stack_v2_python_sparse | jliang24_tpotye/policeHospital.py | ROODAY/course-2017-fal-proj | train | 3 | |
c7ad32e46f21e5ad482156cea5f101f6fb87e48a | [
"text_buffer = TextWriter.make_text(text, custom_text)\nwidth = len(text_buffer)\nheight = 0\nif width > 0:\n height = len(text_buffer[0])\nif surface != None:\n for x in range(0, len(text_buffer)):\n for y in range(0, len(text_buffer[x])):\n if text_buffer[x][y] == 1:\n if ty... | <|body_start_0|>
text_buffer = TextWriter.make_text(text, custom_text)
width = len(text_buffer)
height = 0
if width > 0:
height = len(text_buffer[0])
if surface != None:
for x in range(0, len(text_buffer)):
for y in range(0, len(text_buffer... | TextWriter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextWriter:
def draw_text(surface, text, colour, x_pos, y_pos, custom_text=None):
"""Draws text in the specified place, in the appropriate colour"""
<|body_0|>
def make_text(string, custom_text=None):
"""Construct a buffer that contains which pixels to draw (=1) to m... | stack_v2_sparse_classes_36k_train_011767 | 6,876 | permissive | [
{
"docstring": "Draws text in the specified place, in the appropriate colour",
"name": "draw_text",
"signature": "def draw_text(surface, text, colour, x_pos, y_pos, custom_text=None)"
},
{
"docstring": "Construct a buffer that contains which pixels to draw (=1) to make text",
"name": "make_t... | 2 | null | Implement the Python class `TextWriter` described below.
Class description:
Implement the TextWriter class.
Method signatures and docstrings:
- def draw_text(surface, text, colour, x_pos, y_pos, custom_text=None): Draws text in the specified place, in the appropriate colour
- def make_text(string, custom_text=None): ... | Implement the Python class `TextWriter` described below.
Class description:
Implement the TextWriter class.
Method signatures and docstrings:
- def draw_text(surface, text, colour, x_pos, y_pos, custom_text=None): Draws text in the specified place, in the appropriate colour
- def make_text(string, custom_text=None): ... | 7780b5425883e2af88d28d73ec8f3d2f8bd624bf | <|skeleton|>
class TextWriter:
def draw_text(surface, text, colour, x_pos, y_pos, custom_text=None):
"""Draws text in the specified place, in the appropriate colour"""
<|body_0|>
def make_text(string, custom_text=None):
"""Construct a buffer that contains which pixels to draw (=1) to m... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TextWriter:
def draw_text(surface, text, colour, x_pos, y_pos, custom_text=None):
"""Draws text in the specified place, in the appropriate colour"""
text_buffer = TextWriter.make_text(text, custom_text)
width = len(text_buffer)
height = 0
if width > 0:
heigh... | the_stack_v2_python_sparse | software/controller/lib/text.py | fraz3alpha/led-disco-dancefloor | train | 0 | |
c7b1f4ea8a523c6a5ca42c0e9f0173c80b430ef7 | [
"res = super(account_invoice, self).create(cr, uid, vals, context=context)\nif 'calc_taxes_done' not in ['context']:\n self.button_reset_taxes(cr, uid, [res], context)\nreturn res",
"res = super(account_invoice, self).write(cr, uid, ids, vals, context=context)\nif 'calc_taxes_done' not in ['context']:\n sel... | <|body_start_0|>
res = super(account_invoice, self).create(cr, uid, vals, context=context)
if 'calc_taxes_done' not in ['context']:
self.button_reset_taxes(cr, uid, [res], context)
return res
<|end_body_0|>
<|body_start_1|>
res = super(account_invoice, self).write(cr, uid, i... | account_invoice | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class account_invoice:
def create(self, cr, uid, vals, context=None):
"""Compute the taxes when the invoice is created"""
<|body_0|>
def write(self, cr, uid, ids, vals, context=None):
"""Compute the taxes when the invoice is saved"""
<|body_1|>
def button_rese... | stack_v2_sparse_classes_36k_train_011768 | 2,579 | no_license | [
{
"docstring": "Compute the taxes when the invoice is created",
"name": "create",
"signature": "def create(self, cr, uid, vals, context=None)"
},
{
"docstring": "Compute the taxes when the invoice is saved",
"name": "write",
"signature": "def write(self, cr, uid, ids, vals, context=None)... | 3 | stack_v2_sparse_classes_30k_train_002569 | Implement the Python class `account_invoice` described below.
Class description:
Implement the account_invoice class.
Method signatures and docstrings:
- def create(self, cr, uid, vals, context=None): Compute the taxes when the invoice is created
- def write(self, cr, uid, ids, vals, context=None): Compute the taxes ... | Implement the Python class `account_invoice` described below.
Class description:
Implement the account_invoice class.
Method signatures and docstrings:
- def create(self, cr, uid, vals, context=None): Compute the taxes when the invoice is created
- def write(self, cr, uid, ids, vals, context=None): Compute the taxes ... | 6eeb48468792e09d46d61b89499467a44d67bc79 | <|skeleton|>
class account_invoice:
def create(self, cr, uid, vals, context=None):
"""Compute the taxes when the invoice is created"""
<|body_0|>
def write(self, cr, uid, ids, vals, context=None):
"""Compute the taxes when the invoice is saved"""
<|body_1|>
def button_rese... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class account_invoice:
def create(self, cr, uid, vals, context=None):
"""Compute the taxes when the invoice is created"""
res = super(account_invoice, self).create(cr, uid, vals, context=context)
if 'calc_taxes_done' not in ['context']:
self.button_reset_taxes(cr, uid, [res], con... | the_stack_v2_python_sparse | account_invoice_compute_taxes/account_invoice_compute_taxes.py | smart-solution/natuurpunt-finance | train | 0 | |
7fe80a38e380b7477140933718ba1a4e4ab8d501 | [
"super(DMPNN, self).__init__()\nself.mode: str = mode\nself.n_classes: int = n_classes\nself.n_tasks: int = n_tasks\nself.encoder: nn.Module = layers.DMPNNEncoderLayer(use_default_fdim=use_default_fdim, atom_fdim=atom_fdim, bond_fdim=bond_fdim, d_hidden=enc_hidden, depth=depth, bias=bias, activation=enc_activation,... | <|body_start_0|>
super(DMPNN, self).__init__()
self.mode: str = mode
self.n_classes: int = n_classes
self.n_tasks: int = n_tasks
self.encoder: nn.Module = layers.DMPNNEncoderLayer(use_default_fdim=use_default_fdim, atom_fdim=atom_fdim, bond_fdim=bond_fdim, d_hidden=enc_hidden, de... | Directed Message Passing Neural Network In this class, we define the various encoder layers and establish a sequential model for the Directed Message Passing Neural Network (D-MPNN) [1]_. We also define the forward call of this model in the forward function. Example ------- >>> import deepchem as dc >>> from torch_geom... | DMPNN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DMPNN:
"""Directed Message Passing Neural Network In this class, we define the various encoder layers and establish a sequential model for the Directed Message Passing Neural Network (D-MPNN) [1]_. We also define the forward call of this model in the forward function. Example ------- >>> import d... | stack_v2_sparse_classes_36k_train_011769 | 31,166 | permissive | [
{
"docstring": "Initialize the DMPNN class. Parameters ---------- mode: str, default 'regression' The model type - classification or regression. n_classes: int, default 3 The number of classes to predict (used only in classification mode). n_tasks: int, default 1 The number of tasks. global_features_size: int, ... | 2 | null | Implement the Python class `DMPNN` described below.
Class description:
Directed Message Passing Neural Network In this class, we define the various encoder layers and establish a sequential model for the Directed Message Passing Neural Network (D-MPNN) [1]_. We also define the forward call of this model in the forward... | Implement the Python class `DMPNN` described below.
Class description:
Directed Message Passing Neural Network In this class, we define the various encoder layers and establish a sequential model for the Directed Message Passing Neural Network (D-MPNN) [1]_. We also define the forward call of this model in the forward... | ee6e67ebcf7bf04259cf13aff6388e2b791fea3d | <|skeleton|>
class DMPNN:
"""Directed Message Passing Neural Network In this class, we define the various encoder layers and establish a sequential model for the Directed Message Passing Neural Network (D-MPNN) [1]_. We also define the forward call of this model in the forward function. Example ------- >>> import d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DMPNN:
"""Directed Message Passing Neural Network In this class, we define the various encoder layers and establish a sequential model for the Directed Message Passing Neural Network (D-MPNN) [1]_. We also define the forward call of this model in the forward function. Example ------- >>> import deepchem as dc... | the_stack_v2_python_sparse | deepchem/models/torch_models/dmpnn.py | deepchem/deepchem | train | 4,876 |
b87f95828974a114651d6da3830cd65aca75cf03 | [
"iris_prefix_found = re.search('^iris', self.metric_name, re.IGNORECASE)\nself.metric_name = self.metric_name if iris_prefix_found else 'iris_{}'.format(self.metric_name)\nself.help_str = '# HELP {} {}'.format(self.metric_name, self.help_str)\nself.type_str = '# TYPE {} {}'.format(self.metric_name, self.type_str)",... | <|body_start_0|>
iris_prefix_found = re.search('^iris', self.metric_name, re.IGNORECASE)
self.metric_name = self.metric_name if iris_prefix_found else 'iris_{}'.format(self.metric_name)
self.help_str = '# HELP {} {}'.format(self.metric_name, self.help_str)
self.type_str = '# TYPE {} {}'.... | The PromStrBuilder is a class that helps transform a MetricResult into a string in .prom file format :param metric_name: the name of the Metric we want to build a prom string from :param metric_result: the MetricResult of the executed metric we want to build a prom string from :param help_str: the help string that desc... | PromStrBuilder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PromStrBuilder:
"""The PromStrBuilder is a class that helps transform a MetricResult into a string in .prom file format :param metric_name: the name of the Metric we want to build a prom string from :param metric_result: the MetricResult of the executed metric we want to build a prom string from ... | stack_v2_sparse_classes_36k_train_011770 | 5,963 | no_license | [
{
"docstring": "Add the iris_ prefix to the metric if it is not in the metric name. Create the help_str and type_str :return: None",
"name": "__post_init__",
"signature": "def __post_init__(self) -> None"
},
{
"docstring": "Create the prom string from the metric we executed :return: the metric r... | 3 | stack_v2_sparse_classes_30k_train_010876 | Implement the Python class `PromStrBuilder` described below.
Class description:
The PromStrBuilder is a class that helps transform a MetricResult into a string in .prom file format :param metric_name: the name of the Metric we want to build a prom string from :param metric_result: the MetricResult of the executed metr... | Implement the Python class `PromStrBuilder` described below.
Class description:
The PromStrBuilder is a class that helps transform a MetricResult into a string in .prom file format :param metric_name: the name of the Metric we want to build a prom string from :param metric_result: the MetricResult of the executed metr... | e66651af2c4e106d8c05999ac1137a4b9a58f29f | <|skeleton|>
class PromStrBuilder:
"""The PromStrBuilder is a class that helps transform a MetricResult into a string in .prom file format :param metric_name: the name of the Metric we want to build a prom string from :param metric_result: the MetricResult of the executed metric we want to build a prom string from ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PromStrBuilder:
"""The PromStrBuilder is a class that helps transform a MetricResult into a string in .prom file format :param metric_name: the name of the Metric we want to build a prom string from :param metric_result: the MetricResult of the executed metric we want to build a prom string from :param help_s... | the_stack_v2_python_sparse | iris/utils/prom_helpers.py | dzhang30/Iris | train | 0 |
411c31dd9eeb0e05a1c4bd281c2f27d8701be9a4 | [
"qs = super().get_queryset(*args, **kwargs)\nqs = qs.annotate(camp_expenses_amount=Sum('credebtors__expenses__amount', filter=Q(credebtors__expenses__camp=self.camp), distinct=True), camp_expenses_count=Count('credebtors__expenses', filter=Q(credebtors__expenses__camp=self.camp), distinct=True), camp_revenues_amoun... | <|body_start_0|>
qs = super().get_queryset(*args, **kwargs)
qs = qs.annotate(camp_expenses_amount=Sum('credebtors__expenses__amount', filter=Q(credebtors__expenses__camp=self.camp), distinct=True), camp_expenses_count=Count('credebtors__expenses', filter=Q(credebtors__expenses__camp=self.camp), distinct... | ChainDetailView | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChainDetailView:
def get_queryset(self, *args, **kwargs):
"""Annotate the Chain object with the camp filtered expense and revenue info."""
<|body_0|>
def get_context_data(self, *args, **kwargs):
"""Add credebtors, expenses and revenues to the context in camp-filtered... | stack_v2_sparse_classes_36k_train_011771 | 34,955 | permissive | [
{
"docstring": "Annotate the Chain object with the camp filtered expense and revenue info.",
"name": "get_queryset",
"signature": "def get_queryset(self, *args, **kwargs)"
},
{
"docstring": "Add credebtors, expenses and revenues to the context in camp-filtered versions.",
"name": "get_contex... | 2 | null | Implement the Python class `ChainDetailView` described below.
Class description:
Implement the ChainDetailView class.
Method signatures and docstrings:
- def get_queryset(self, *args, **kwargs): Annotate the Chain object with the camp filtered expense and revenue info.
- def get_context_data(self, *args, **kwargs): A... | Implement the Python class `ChainDetailView` described below.
Class description:
Implement the ChainDetailView class.
Method signatures and docstrings:
- def get_queryset(self, *args, **kwargs): Annotate the Chain object with the camp filtered expense and revenue info.
- def get_context_data(self, *args, **kwargs): A... | 767deb7f58429e9162e0c2ef79be9f0f38f37ce1 | <|skeleton|>
class ChainDetailView:
def get_queryset(self, *args, **kwargs):
"""Annotate the Chain object with the camp filtered expense and revenue info."""
<|body_0|>
def get_context_data(self, *args, **kwargs):
"""Add credebtors, expenses and revenues to the context in camp-filtered... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ChainDetailView:
def get_queryset(self, *args, **kwargs):
"""Annotate the Chain object with the camp filtered expense and revenue info."""
qs = super().get_queryset(*args, **kwargs)
qs = qs.annotate(camp_expenses_amount=Sum('credebtors__expenses__amount', filter=Q(credebtors__expenses_... | the_stack_v2_python_sparse | src/backoffice/views/economy.py | bornhack/bornhack-website | train | 9 | |
1f4d2024b7947bc36e64f67048c304a826941225 | [
"super().__init__(hass, _LOGGER, name=DOMAIN, update_interval=timedelta(minutes=30))\nself.device = device\nself.paired_device = paired_device",
"try:\n async with asyncio.timeout(10):\n device_state_resp = await self.device.fetch_state()\n device_state = device_state_resp.data.get(ATTR_DEVICE_ST... | <|body_start_0|>
super().__init__(hass, _LOGGER, name=DOMAIN, update_interval=timedelta(minutes=30))
self.device = device
self.paired_device = paired_device
<|end_body_0|>
<|body_start_1|>
try:
async with asyncio.timeout(10):
device_state_resp = await self.de... | YoLink DataUpdateCoordinator. | YoLinkCoordinator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class YoLinkCoordinator:
"""YoLink DataUpdateCoordinator."""
def __init__(self, hass: HomeAssistant, device: YoLinkDevice, paired_device: YoLinkDevice | None=None) -> None:
"""Init YoLink DataUpdateCoordinator. fetch state every 30 minutes base on yolink device heartbeat interval data is N... | stack_v2_sparse_classes_36k_train_011772 | 2,414 | permissive | [
{
"docstring": "Init YoLink DataUpdateCoordinator. fetch state every 30 minutes base on yolink device heartbeat interval data is None before the first successful update, but we need to use data at first update",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, device: YoLinkDevi... | 2 | null | Implement the Python class `YoLinkCoordinator` described below.
Class description:
YoLink DataUpdateCoordinator.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, device: YoLinkDevice, paired_device: YoLinkDevice | None=None) -> None: Init YoLink DataUpdateCoordinator. fetch state every 30 m... | Implement the Python class `YoLinkCoordinator` described below.
Class description:
YoLink DataUpdateCoordinator.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, device: YoLinkDevice, paired_device: YoLinkDevice | None=None) -> None: Init YoLink DataUpdateCoordinator. fetch state every 30 m... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class YoLinkCoordinator:
"""YoLink DataUpdateCoordinator."""
def __init__(self, hass: HomeAssistant, device: YoLinkDevice, paired_device: YoLinkDevice | None=None) -> None:
"""Init YoLink DataUpdateCoordinator. fetch state every 30 minutes base on yolink device heartbeat interval data is N... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class YoLinkCoordinator:
"""YoLink DataUpdateCoordinator."""
def __init__(self, hass: HomeAssistant, device: YoLinkDevice, paired_device: YoLinkDevice | None=None) -> None:
"""Init YoLink DataUpdateCoordinator. fetch state every 30 minutes base on yolink device heartbeat interval data is None before th... | the_stack_v2_python_sparse | homeassistant/components/yolink/coordinator.py | home-assistant/core | train | 35,501 |
f96f67e348bfb38cc7be3fbe27fb651be9cc8066 | [
"assert 'variables' not in kwds, 'variables parameter is useless.'\nif 'method' not in kwds:\n import hysop.default_methods as default\n kwds['method'] = default.BAROCLINIC\nsuper(BaroclinicFromRHS, self).__init__(variables=[vorticity, rhs], **kwds)\nself.vorticity = vorticity\nself.rhs = rhs\nself.input = [s... | <|body_start_0|>
assert 'variables' not in kwds, 'variables parameter is useless.'
if 'method' not in kwds:
import hysop.default_methods as default
kwds['method'] = default.BAROCLINIC
super(BaroclinicFromRHS, self).__init__(variables=[vorticity, rhs], **kwds)
self... | TODO : describe this operator ... | BaroclinicFromRHS | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaroclinicFromRHS:
"""TODO : describe this operator ..."""
def __init__(self, vorticity, rhs, **kwds):
"""Constructor. Create the baroclinic term in the N.S. equations with a given -GradRho/rho x GradP/rho term as the rhs field. @param vorticity : discretization of the vorticity fiel... | stack_v2_sparse_classes_36k_train_011773 | 2,183 | no_license | [
{
"docstring": "Constructor. Create the baroclinic term in the N.S. equations with a given -GradRho/rho x GradP/rho term as the rhs field. @param vorticity : discretization of the vorticity field @param rhs : right hand side of the term",
"name": "__init__",
"signature": "def __init__(self, vorticity, r... | 2 | stack_v2_sparse_classes_30k_train_001218 | Implement the Python class `BaroclinicFromRHS` described below.
Class description:
TODO : describe this operator ...
Method signatures and docstrings:
- def __init__(self, vorticity, rhs, **kwds): Constructor. Create the baroclinic term in the N.S. equations with a given -GradRho/rho x GradP/rho term as the rhs field... | Implement the Python class `BaroclinicFromRHS` described below.
Class description:
TODO : describe this operator ...
Method signatures and docstrings:
- def __init__(self, vorticity, rhs, **kwds): Constructor. Create the baroclinic term in the N.S. equations with a given -GradRho/rho x GradP/rho term as the rhs field... | 60e9535ece75321367b19f1daf13e1ae014d6e81 | <|skeleton|>
class BaroclinicFromRHS:
"""TODO : describe this operator ..."""
def __init__(self, vorticity, rhs, **kwds):
"""Constructor. Create the baroclinic term in the N.S. equations with a given -GradRho/rho x GradP/rho term as the rhs field. @param vorticity : discretization of the vorticity fiel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaroclinicFromRHS:
"""TODO : describe this operator ..."""
def __init__(self, vorticity, rhs, **kwds):
"""Constructor. Create the baroclinic term in the N.S. equations with a given -GradRho/rho x GradP/rho term as the rhs field. @param vorticity : discretization of the vorticity field @param rhs ... | the_stack_v2_python_sparse | hysop/operator/discrete/baroclinic_from_rhs.py | ljktest/tmp-tests | train | 0 |
dcad37a8101e1054ceb0404e5dcec42041a1f2a3 | [
"BaseController.__init__(self, veh_id, car_following_params, delay=time_delay, fail_safe=fail_safe, noise=noise)\nself.veh_id = veh_id\nself.v_max = v_max\nself.adaptation = adaptation\nself.h_st = h_st",
"this_vel = env.k.vehicle.get_speed(self.veh_id)\nh = env.k.vehicle.get_headway(self.veh_id)\nalpha = 1.689\n... | <|body_start_0|>
BaseController.__init__(self, veh_id, car_following_params, delay=time_delay, fail_safe=fail_safe, noise=noise)
self.veh_id = veh_id
self.v_max = v_max
self.adaptation = adaptation
self.h_st = h_st
<|end_body_0|>
<|body_start_1|>
this_vel = env.k.vehicle... | Linear OVM controller. Usage ----- See BaseController for usage example. Attributes ---------- veh_id : str Vehicle ID for SUMO identification car_following_params : flow.core.params.SumoCarFollowingParams see parent class v_max : float max velocity (default: 30) adaptation : float adaptation constant (default: 0.65) h... | LinearOVM | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinearOVM:
"""Linear OVM controller. Usage ----- See BaseController for usage example. Attributes ---------- veh_id : str Vehicle ID for SUMO identification car_following_params : flow.core.params.SumoCarFollowingParams see parent class v_max : float max velocity (default: 30) adaptation : float ... | stack_v2_sparse_classes_36k_train_011774 | 17,548 | permissive | [
{
"docstring": "Instantiate a Linear OVM controller.",
"name": "__init__",
"signature": "def __init__(self, veh_id, car_following_params, v_max=30, adaptation=0.65, h_st=5, time_delay=0.0, noise=0, fail_safe=None)"
},
{
"docstring": "See parent class.",
"name": "get_accel",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_000013 | Implement the Python class `LinearOVM` described below.
Class description:
Linear OVM controller. Usage ----- See BaseController for usage example. Attributes ---------- veh_id : str Vehicle ID for SUMO identification car_following_params : flow.core.params.SumoCarFollowingParams see parent class v_max : float max vel... | Implement the Python class `LinearOVM` described below.
Class description:
Linear OVM controller. Usage ----- See BaseController for usage example. Attributes ---------- veh_id : str Vehicle ID for SUMO identification car_following_params : flow.core.params.SumoCarFollowingParams see parent class v_max : float max vel... | badac3da17f04d8d8ae5691ee8ba2af9d56fac35 | <|skeleton|>
class LinearOVM:
"""Linear OVM controller. Usage ----- See BaseController for usage example. Attributes ---------- veh_id : str Vehicle ID for SUMO identification car_following_params : flow.core.params.SumoCarFollowingParams see parent class v_max : float max velocity (default: 30) adaptation : float ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LinearOVM:
"""Linear OVM controller. Usage ----- See BaseController for usage example. Attributes ---------- veh_id : str Vehicle ID for SUMO identification car_following_params : flow.core.params.SumoCarFollowingParams see parent class v_max : float max velocity (default: 30) adaptation : float adaptation co... | the_stack_v2_python_sparse | flow/controllers/car_following_models.py | parthjaggi/flow | train | 6 |
e99fd102efb4cf06f571cf7ace677bb46a600cbc | [
"self.v1 = v1\nself.v2 = v2\nself.p1 = 0\nself.p2 = 0\nself.n1 = len(v1)\nself.n2 = len(v2)\nself.first = True",
"if self.first and self.p1 < self.n1 or self.p2 >= self.n2:\n self.first = False\n res = self.v1[self.p1]\n self.p1 += 1\nelse:\n self.first = True\n res = self.v2[self.p2]\n self.p2 ... | <|body_start_0|>
self.v1 = v1
self.v2 = v2
self.p1 = 0
self.p2 = 0
self.n1 = len(v1)
self.n2 = len(v2)
self.first = True
<|end_body_0|>
<|body_start_1|>
if self.first and self.p1 < self.n1 or self.p2 >= self.n2:
self.first = False
... | ZigzagIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZigzagIterator:
def __init__(self, v1, v2):
"""Initialize your data structure here. :type v1: List[int] :type v2: List[int]"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k_train_011775 | 1,045 | no_license | [
{
"docstring": "Initialize your data structure here. :type v1: List[int] :type v2: List[int]",
"name": "__init__",
"signature": "def __init__(self, v1, v2)"
},
{
"docstring": ":rtype: int",
"name": "next",
"signature": "def next(self)"
},
{
"docstring": ":rtype: bool",
"name"... | 3 | stack_v2_sparse_classes_30k_train_016978 | Implement the Python class `ZigzagIterator` described below.
Class description:
Implement the ZigzagIterator class.
Method signatures and docstrings:
- def __init__(self, v1, v2): Initialize your data structure here. :type v1: List[int] :type v2: List[int]
- def next(self): :rtype: int
- def hasNext(self): :rtype: bo... | Implement the Python class `ZigzagIterator` described below.
Class description:
Implement the ZigzagIterator class.
Method signatures and docstrings:
- def __init__(self, v1, v2): Initialize your data structure here. :type v1: List[int] :type v2: List[int]
- def next(self): :rtype: int
- def hasNext(self): :rtype: bo... | 917bd000c2a055dfa2633440a61ca4ae2b665fe3 | <|skeleton|>
class ZigzagIterator:
def __init__(self, v1, v2):
"""Initialize your data structure here. :type v1: List[int] :type v2: List[int]"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ZigzagIterator:
def __init__(self, v1, v2):
"""Initialize your data structure here. :type v1: List[int] :type v2: List[int]"""
self.v1 = v1
self.v2 = v2
self.p1 = 0
self.p2 = 0
self.n1 = len(v1)
self.n2 = len(v2)
self.first = True
def next(s... | the_stack_v2_python_sparse | 281_zigzag-iterator.py | Khrystynka/LeetCodeProblems | train | 0 | |
d78df71049cfb1e7e54845c62e33baf609c54001 | [
"super(Semaphore, self).__init__()\nself.size = size\nself.semaphore = threading.BoundedSemaphore(size)\nreturn",
"self.logger.debug('Acquiring the semaphore')\nself.semaphore.acquire()\nreturn",
"self.logger.debug('releasing {n} times'.format(n=value))\nfor i in repeat(None, times=value):\n self.semaphore.r... | <|body_start_0|>
super(Semaphore, self).__init__()
self.size = size
self.semaphore = threading.BoundedSemaphore(size)
return
<|end_body_0|>
<|body_start_1|>
self.logger.debug('Acquiring the semaphore')
self.semaphore.acquire()
return
<|end_body_1|>
<|body_start_... | Implements a Semaphore using Alan Downey's notation. This is an unbounded semaphore so it can release more than it has acquired | Semaphore | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Semaphore:
"""Implements a Semaphore using Alan Downey's notation. This is an unbounded semaphore so it can release more than it has acquired"""
def __init__(self, size=1):
""":param: - `size`: The number of threads to wait for."""
<|body_0|>
def wait(self):
"""D... | stack_v2_sparse_classes_36k_train_011776 | 1,353 | permissive | [
{
"docstring": ":param: - `size`: The number of threads to wait for.",
"name": "__init__",
"signature": "def __init__(self, size=1)"
},
{
"docstring": "Decrements the semaphore if > 0, waits if it is 0",
"name": "wait",
"signature": "def wait(self)"
},
{
"docstring": "Increments ... | 4 | null | Implement the Python class `Semaphore` described below.
Class description:
Implements a Semaphore using Alan Downey's notation. This is an unbounded semaphore so it can release more than it has acquired
Method signatures and docstrings:
- def __init__(self, size=1): :param: - `size`: The number of threads to wait for... | Implement the Python class `Semaphore` described below.
Class description:
Implements a Semaphore using Alan Downey's notation. This is an unbounded semaphore so it can release more than it has acquired
Method signatures and docstrings:
- def __init__(self, size=1): :param: - `size`: The number of threads to wait for... | b4d1c77e1d611fe2b30768b42bdc7493afb0ea95 | <|skeleton|>
class Semaphore:
"""Implements a Semaphore using Alan Downey's notation. This is an unbounded semaphore so it can release more than it has acquired"""
def __init__(self, size=1):
""":param: - `size`: The number of threads to wait for."""
<|body_0|>
def wait(self):
"""D... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Semaphore:
"""Implements a Semaphore using Alan Downey's notation. This is an unbounded semaphore so it can release more than it has acquired"""
def __init__(self, size=1):
""":param: - `size`: The number of threads to wait for."""
super(Semaphore, self).__init__()
self.size = siz... | the_stack_v2_python_sparse | apetools/threads/semaphore.py | russell-n/oldape | train | 0 |
14415d1bf0ecba1515660f051b621434cc25e66b | [
"self.price = price\nself.quantity = quantity\nself.total = total\nself.delay_start = delay_start\nself.id = id\nself.level_1 = level_1\nself.level_2 = level_2\nself.offer_to_affiliates = offer_to_affiliates\nself.owner = owner\nself.setup_fee = setup_fee\nself.setup_fee_date = setup_fee_date\nself.setup_fee_when =... | <|body_start_0|>
self.price = price
self.quantity = quantity
self.total = total
self.delay_start = delay_start
self.id = id
self.level_1 = level_1
self.level_2 = level_2
self.offer_to_affiliates = offer_to_affiliates
self.owner = owner
self... | Implementation of the 'Product' model. TODO: type model description here. Attributes: price (list of Price): TODO: type description here. quantity (int): How many of this product are being purchased? total (float): What is the total amount of this sale? delay_start (int): Days to delay start. id (int): This must be an ... | Product | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Product:
"""Implementation of the 'Product' model. TODO: type model description here. Attributes: price (list of Price): TODO: type description here. quantity (int): How many of this product are being purchased? total (float): What is the total amount of this sale? delay_start (int): Days to dela... | stack_v2_sparse_classes_36k_train_011777 | 7,834 | permissive | [
{
"docstring": "Constructor for the Product class",
"name": "__init__",
"signature": "def __init__(self, price=None, quantity=None, total=None, delay_start=None, id=None, level_1=None, level_2=None, offer_to_affiliates=False, owner=None, setup_fee=None, setup_fee_date=None, setup_fee_when=None, shipping... | 2 | stack_v2_sparse_classes_30k_train_012399 | Implement the Python class `Product` described below.
Class description:
Implementation of the 'Product' model. TODO: type model description here. Attributes: price (list of Price): TODO: type description here. quantity (int): How many of this product are being purchased? total (float): What is the total amount of thi... | Implement the Python class `Product` described below.
Class description:
Implementation of the 'Product' model. TODO: type model description here. Attributes: price (list of Price): TODO: type description here. quantity (int): How many of this product are being purchased? total (float): What is the total amount of thi... | fb4834e89b897dce3475c89c7e6c34bf8756880e | <|skeleton|>
class Product:
"""Implementation of the 'Product' model. TODO: type model description here. Attributes: price (list of Price): TODO: type description here. quantity (int): How many of this product are being purchased? total (float): What is the total amount of this sale? delay_start (int): Days to dela... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Product:
"""Implementation of the 'Product' model. TODO: type model description here. Attributes: price (list of Price): TODO: type description here. quantity (int): How many of this product are being purchased? total (float): What is the total amount of this sale? delay_start (int): Days to delay start. id (... | the_stack_v2_python_sparse | ontraportlib/models/product.py | LifePosts/ontraportlib | train | 0 |
3400dbab0f9a3edb08d4b4528b4c878bc68bf906 | [
"out_file = open(file_path, 'w')\njson.dump(data, out_file, indent=4)\nout_file.close()",
"try:\n with open(file_path) as f:\n return json.load(f)\nexcept IOError as e:\n print('could not read ' + file_path)"
] | <|body_start_0|>
out_file = open(file_path, 'w')
json.dump(data, out_file, indent=4)
out_file.close()
<|end_body_0|>
<|body_start_1|>
try:
with open(file_path) as f:
return json.load(f)
except IOError as e:
print('could not read ' + file_p... | This class handles writing data objects to files and loading in data objects | MyJsonHandler | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyJsonHandler:
"""This class handles writing data objects to files and loading in data objects"""
def save_data_to_json_file(data, file_path):
"""Store data as json in designated file_path"""
<|body_0|>
def get_data_from_json_file(file_path):
"""get data as json ... | stack_v2_sparse_classes_36k_train_011778 | 704 | permissive | [
{
"docstring": "Store data as json in designated file_path",
"name": "save_data_to_json_file",
"signature": "def save_data_to_json_file(data, file_path)"
},
{
"docstring": "get data as json in designated file_path and returns the loaded json",
"name": "get_data_from_json_file",
"signatur... | 2 | stack_v2_sparse_classes_30k_train_007111 | Implement the Python class `MyJsonHandler` described below.
Class description:
This class handles writing data objects to files and loading in data objects
Method signatures and docstrings:
- def save_data_to_json_file(data, file_path): Store data as json in designated file_path
- def get_data_from_json_file(file_pat... | Implement the Python class `MyJsonHandler` described below.
Class description:
This class handles writing data objects to files and loading in data objects
Method signatures and docstrings:
- def save_data_to_json_file(data, file_path): Store data as json in designated file_path
- def get_data_from_json_file(file_pat... | 20d8df6172906337f81583dabb841d66b8f31857 | <|skeleton|>
class MyJsonHandler:
"""This class handles writing data objects to files and loading in data objects"""
def save_data_to_json_file(data, file_path):
"""Store data as json in designated file_path"""
<|body_0|>
def get_data_from_json_file(file_path):
"""get data as json ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyJsonHandler:
"""This class handles writing data objects to files and loading in data objects"""
def save_data_to_json_file(data, file_path):
"""Store data as json in designated file_path"""
out_file = open(file_path, 'w')
json.dump(data, out_file, indent=4)
out_file.clos... | the_stack_v2_python_sparse | new_algs/Number+theoretic+algorithms/Euclidean+algorithm/myjsonhandler.py | coolsnake/JupyterNotebook | train | 0 |
f336cd96cf813ec8daa9f4ea73b96fa49779c260 | [
"super(Interface, self).__init__(name, line_number)\nself.lines = lines\nself.source = source_file",
"all_subroutines = []\nroutine_re = re.compile('^\\\\s*MODULE PROCEDURE ([A-Z0-9_]+)', re.IGNORECASE)\nvarying_string_re1 = re.compile('VSC*(Obj|Number|)[0-9]*$', re.IGNORECASE)\nvarying_string_re2 = re.compile('V... | <|body_start_0|>
super(Interface, self).__init__(name, line_number)
self.lines = lines
self.source = source_file
<|end_body_0|>
<|body_start_1|>
all_subroutines = []
routine_re = re.compile('^\\s*MODULE PROCEDURE ([A-Z0-9_]+)', re.IGNORECASE)
varying_string_re1 = re.comp... | Information on an interface | Interface | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interface:
"""Information on an interface"""
def __init__(self, name, line_number, lines, source_file):
"""Initialise an interface Arguments: name -- Interface name line_number -- Line number where the interface starts lines -- Contents of interface as a list of lines source_file -- ... | stack_v2_sparse_classes_36k_train_011779 | 28,119 | no_license | [
{
"docstring": "Initialise an interface Arguments: name -- Interface name line_number -- Line number where the interface starts lines -- Contents of interface as a list of lines source_file -- Source file containing the interface",
"name": "__init__",
"signature": "def __init__(self, name, line_number, ... | 3 | stack_v2_sparse_classes_30k_train_014538 | Implement the Python class `Interface` described below.
Class description:
Information on an interface
Method signatures and docstrings:
- def __init__(self, name, line_number, lines, source_file): Initialise an interface Arguments: name -- Interface name line_number -- Line number where the interface starts lines --... | Implement the Python class `Interface` described below.
Class description:
Information on an interface
Method signatures and docstrings:
- def __init__(self, name, line_number, lines, source_file): Initialise an interface Arguments: name -- Interface name line_number -- Line number where the interface starts lines --... | 38c0755396efea44feb87a4c01b5e956d6736691 | <|skeleton|>
class Interface:
"""Information on an interface"""
def __init__(self, name, line_number, lines, source_file):
"""Initialise an interface Arguments: name -- Interface name line_number -- Line number where the interface starts lines -- Contents of interface as a list of lines source_file -- ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Interface:
"""Information on an interface"""
def __init__(self, name, line_number, lines, source_file):
"""Initialise an interface Arguments: name -- Interface name line_number -- Line number where the interface starts lines -- Contents of interface as a list of lines source_file -- Source file c... | the_stack_v2_python_sparse | bindings/generate_bindings/parse.py | OpenCMISS/iron | train | 10 |
21ed2d9ce79d50a07d917a02c99ea4a1e17ec838 | [
"def walk(root, lower, upper):\n if not root:\n return True\n if root.val > lower and root.val < upper:\n return walk(root.left, lower, root.val) and walk(root.right, root.val, upper)\n else:\n return False\nreturn walk(root, float('-inf'), float('inf'))",
"def isValid(root, smaller,... | <|body_start_0|>
def walk(root, lower, upper):
if not root:
return True
if root.val > lower and root.val < upper:
return walk(root.left, lower, root.val) and walk(root.right, root.val, upper)
else:
return False
return wa... | ValidBST | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValidBST:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isValidBST2(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def walk(root, lower, upper):
if n... | stack_v2_sparse_classes_36k_train_011780 | 942 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isValidBST",
"signature": "def isValidBST(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isValidBST2",
"signature": "def isValidBST2(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001716 | Implement the Python class `ValidBST` described below.
Class description:
Implement the ValidBST class.
Method signatures and docstrings:
- def isValidBST(self, root): :type root: TreeNode :rtype: bool
- def isValidBST2(self, root): :type root: TreeNode :rtype: bool | Implement the Python class `ValidBST` described below.
Class description:
Implement the ValidBST class.
Method signatures and docstrings:
- def isValidBST(self, root): :type root: TreeNode :rtype: bool
- def isValidBST2(self, root): :type root: TreeNode :rtype: bool
<|skeleton|>
class ValidBST:
def isValidBST(s... | e7f486114df17918e49d6452c7047c9d90e8aef2 | <|skeleton|>
class ValidBST:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isValidBST2(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ValidBST:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
def walk(root, lower, upper):
if not root:
return True
if root.val > lower and root.val < upper:
return walk(root.left, lower, root.val) and walk(root.right, ro... | the_stack_v2_python_sparse | tranquil-beach/tree/valid_bst.py | yokolet/tranquil-beach-python | train | 0 | |
63042da00f72c17ed5f78d701ddad9fc91cdcf7b | [
"\"\"\"\n 1) Get image schema\n 2) Verify the response status code is 200\n \"\"\"\nresponse = self.api_client.get_image_schema()\nimage_schema = response.entity\nself.assertEqual(200, response.status_code)",
"\"\"\"\n 1) Get images schema\n 2) Verify the response status code is... | <|body_start_0|>
"""
1) Get image schema
2) Verify the response status code is 200
"""
response = self.api_client.get_image_schema()
image_schema = response.entity
self.assertEqual(200, response.status_code)
<|end_body_0|>
<|body_start_1|>... | Test the retrieval of schema details for images | GetImagesSchemaTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetImagesSchemaTest:
"""Test the retrieval of schema details for images"""
def test_get_image_schema(self):
"""Get schema that represents an image entity."""
<|body_0|>
def test_get_images_schema(self):
"""Get schema that represents an images entity."""
<... | stack_v2_sparse_classes_36k_train_011781 | 1,531 | permissive | [
{
"docstring": "Get schema that represents an image entity.",
"name": "test_get_image_schema",
"signature": "def test_get_image_schema(self)"
},
{
"docstring": "Get schema that represents an images entity.",
"name": "test_get_images_schema",
"signature": "def test_get_images_schema(self)... | 2 | stack_v2_sparse_classes_30k_test_000111 | Implement the Python class `GetImagesSchemaTest` described below.
Class description:
Test the retrieval of schema details for images
Method signatures and docstrings:
- def test_get_image_schema(self): Get schema that represents an image entity.
- def test_get_images_schema(self): Get schema that represents an images... | Implement the Python class `GetImagesSchemaTest` described below.
Class description:
Test the retrieval of schema details for images
Method signatures and docstrings:
- def test_get_image_schema(self): Get schema that represents an image entity.
- def test_get_images_schema(self): Get schema that represents an images... | b2e69c7f5657ee1f1cc7f03c8af18effb3c41cb6 | <|skeleton|>
class GetImagesSchemaTest:
"""Test the retrieval of schema details for images"""
def test_get_image_schema(self):
"""Get schema that represents an image entity."""
<|body_0|>
def test_get_images_schema(self):
"""Get schema that represents an images entity."""
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GetImagesSchemaTest:
"""Test the retrieval of schema details for images"""
def test_get_image_schema(self):
"""Get schema that represents an image entity."""
"""
1) Get image schema
2) Verify the response status code is 200
"""
respo... | the_stack_v2_python_sparse | cloudroast/images/v2/functional/test_get_images_schema.py | ProjectMeniscus/cloudroast | train | 0 |
b42dd1c39c764de5bf8748cc1c6c64253337a8a9 | [
"diff_file_blink_h = ['some diff']\ndiff_file_chromium_h = ['another diff']\ndiff_file_test_expectations = ['more diff']\nmock_input_api = MockInputApi()\nmock_python_file = MockAffectedFile('file_blink.py', ['lint me'])\nmock_input_api.files = [MockAffectedFile('file_blink.h', diff_file_blink_h), MockAffectedFile(... | <|body_start_0|>
diff_file_blink_h = ['some diff']
diff_file_chromium_h = ['another diff']
diff_file_test_expectations = ['more diff']
mock_input_api = MockInputApi()
mock_python_file = MockAffectedFile('file_blink.py', ['lint me'])
mock_input_api.files = [MockAffectedFil... | PresubmitTest | [
"LGPL-2.0-or-later",
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.1-only",
"GPL-1.0-or-later",
"GPL-2.0-only",
"LGPL-2.0-only",
"BSD-2-Clause",
"LicenseRef-scancode-other-copyleft",
"BSD-3-Clause",
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PresubmitTest:
def testCheckChangeOnUploadWithBlinkAndChromiumFiles(self, _, _run_tests, _get_pylint):
"""This verifies that CheckChangeOnUpload will only call check_blink_style.py on non-test files."""
<|body_0|>
def testCheckChangeOnUploadWithEmptyAffectedFileList(self, _)... | stack_v2_sparse_classes_36k_train_011782 | 10,881 | permissive | [
{
"docstring": "This verifies that CheckChangeOnUpload will only call check_blink_style.py on non-test files.",
"name": "testCheckChangeOnUploadWithBlinkAndChromiumFiles",
"signature": "def testCheckChangeOnUploadWithBlinkAndChromiumFiles(self, _, _run_tests, _get_pylint)"
},
{
"docstring": "Thi... | 5 | stack_v2_sparse_classes_30k_train_006515 | Implement the Python class `PresubmitTest` described below.
Class description:
Implement the PresubmitTest class.
Method signatures and docstrings:
- def testCheckChangeOnUploadWithBlinkAndChromiumFiles(self, _, _run_tests, _get_pylint): This verifies that CheckChangeOnUpload will only call check_blink_style.py on no... | Implement the Python class `PresubmitTest` described below.
Class description:
Implement the PresubmitTest class.
Method signatures and docstrings:
- def testCheckChangeOnUploadWithBlinkAndChromiumFiles(self, _, _run_tests, _get_pylint): This verifies that CheckChangeOnUpload will only call check_blink_style.py on no... | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | <|skeleton|>
class PresubmitTest:
def testCheckChangeOnUploadWithBlinkAndChromiumFiles(self, _, _run_tests, _get_pylint):
"""This verifies that CheckChangeOnUpload will only call check_blink_style.py on non-test files."""
<|body_0|>
def testCheckChangeOnUploadWithEmptyAffectedFileList(self, _)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PresubmitTest:
def testCheckChangeOnUploadWithBlinkAndChromiumFiles(self, _, _run_tests, _get_pylint):
"""This verifies that CheckChangeOnUpload will only call check_blink_style.py on non-test files."""
diff_file_blink_h = ['some diff']
diff_file_chromium_h = ['another diff']
d... | the_stack_v2_python_sparse | third_party/blink/PRESUBMIT_test.py | chromium/chromium | train | 17,408 | |
05fb71d0c6f5a87a89a792ee13d84accffdc2ace | [
"book_url = response.xpath(\"//*[@class='content']/h6/a/@href\").extract()\nbook_url = [url.replace('xxs', 'xxss') for url in book_url]\nend_flag = response.xpath(\"//*[@class='page']/a[last()-1]/text()\").extract_first()\nfor url in book_url:\n yield scrapy.Request(url=url, callback=self.middle_page)\nprint(f'h... | <|body_start_0|>
book_url = response.xpath("//*[@class='content']/h6/a/@href").extract()
book_url = [url.replace('xxs', 'xxss') for url in book_url]
end_flag = response.xpath("//*[@class='page']/a[last()-1]/text()").extract_first()
for url in book_url:
yield scrapy.Request(ur... | M23swSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class M23swSpider:
def parse(self, response):
"""书目录"""
<|body_0|>
def middle_page(self, response):
"""小说目录页"""
<|body_1|>
def content(self, response):
"""小说章节页的数据"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
book_url = response.xp... | stack_v2_sparse_classes_36k_train_011783 | 2,871 | no_license | [
{
"docstring": "书目录",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "小说目录页",
"name": "middle_page",
"signature": "def middle_page(self, response)"
},
{
"docstring": "小说章节页的数据",
"name": "content",
"signature": "def content(self, response)"
}... | 3 | stack_v2_sparse_classes_30k_test_000496 | Implement the Python class `M23swSpider` described below.
Class description:
Implement the M23swSpider class.
Method signatures and docstrings:
- def parse(self, response): 书目录
- def middle_page(self, response): 小说目录页
- def content(self, response): 小说章节页的数据 | Implement the Python class `M23swSpider` described below.
Class description:
Implement the M23swSpider class.
Method signatures and docstrings:
- def parse(self, response): 书目录
- def middle_page(self, response): 小说目录页
- def content(self, response): 小说章节页的数据
<|skeleton|>
class M23swSpider:
def parse(self, respon... | ba9a8dd9a62f60df7130d2240628b7969800c647 | <|skeleton|>
class M23swSpider:
def parse(self, response):
"""书目录"""
<|body_0|>
def middle_page(self, response):
"""小说目录页"""
<|body_1|>
def content(self, response):
"""小说章节页的数据"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class M23swSpider:
def parse(self, response):
"""书目录"""
book_url = response.xpath("//*[@class='content']/h6/a/@href").extract()
book_url = [url.replace('xxs', 'xxss') for url in book_url]
end_flag = response.xpath("//*[@class='page']/a[last()-1]/text()").extract_first()
for u... | the_stack_v2_python_sparse | SpiderPractice/m23sw_all/m23sw_all/spiders/m23sw.py | mafiadarm/Python-Practice | train | 0 | |
7ac5c4e35615c6a2f6efe675af93ca2ac42efe6d | [
"super().__init__(**kwargs)\nself.filename = filename\nself.site = site or pywikibot.Site()\nself.page_regex, self.title_regex = self._make_regexes()",
"if self.opt.textonly:\n pattern = '^(.*)$'\nelse:\n pattern = re.escape(self.opt.begin) + '(.*?)' + re.escape(self.opt.end)\npage_regex = re.compile(patter... | <|body_start_0|>
super().__init__(**kwargs)
self.filename = filename
self.site = site or pywikibot.Site()
self.page_regex, self.title_regex = self._make_regexes()
<|end_body_0|>
<|body_start_1|>
if self.opt.textonly:
pattern = '^(.*)$'
else:
patte... | Generator class, responsible for reading the file. .. versionchanged:: 7.6 subclassed from :class:`pywikibot.tools.collections.GeneratorWrapper` | PageFromFileReader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PageFromFileReader:
"""Generator class, responsible for reading the file. .. versionchanged:: 7.6 subclassed from :class:`pywikibot.tools.collections.GeneratorWrapper`"""
def __init__(self, filename, site=None, **kwargs) -> None:
"""Initializer."""
<|body_0|>
def _make_r... | stack_v2_sparse_classes_36k_train_011784 | 11,900 | permissive | [
{
"docstring": "Initializer.",
"name": "__init__",
"signature": "def __init__(self, filename, site=None, **kwargs) -> None"
},
{
"docstring": "Make regex from options.",
"name": "_make_regexes",
"signature": "def _make_regexes(self)"
},
{
"docstring": "Read file and yield a page ... | 4 | null | Implement the Python class `PageFromFileReader` described below.
Class description:
Generator class, responsible for reading the file. .. versionchanged:: 7.6 subclassed from :class:`pywikibot.tools.collections.GeneratorWrapper`
Method signatures and docstrings:
- def __init__(self, filename, site=None, **kwargs) -> ... | Implement the Python class `PageFromFileReader` described below.
Class description:
Generator class, responsible for reading the file. .. versionchanged:: 7.6 subclassed from :class:`pywikibot.tools.collections.GeneratorWrapper`
Method signatures and docstrings:
- def __init__(self, filename, site=None, **kwargs) -> ... | 5c01e6bfcd328bc6eae643e661f1a0ae57612808 | <|skeleton|>
class PageFromFileReader:
"""Generator class, responsible for reading the file. .. versionchanged:: 7.6 subclassed from :class:`pywikibot.tools.collections.GeneratorWrapper`"""
def __init__(self, filename, site=None, **kwargs) -> None:
"""Initializer."""
<|body_0|>
def _make_r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PageFromFileReader:
"""Generator class, responsible for reading the file. .. versionchanged:: 7.6 subclassed from :class:`pywikibot.tools.collections.GeneratorWrapper`"""
def __init__(self, filename, site=None, **kwargs) -> None:
"""Initializer."""
super().__init__(**kwargs)
self.... | the_stack_v2_python_sparse | scripts/pagefromfile.py | wikimedia/pywikibot | train | 432 |
ff280ca47a570d71f3d240773b4776ff55a925c4 | [
"bd = {'title': bundle.obj.minus.title, 'id': bundle.obj.minus.id, 'resource_uri': '/api/v1/minusrecord/%s/' % bundle.obj.minus.id, 'length': bundle.obj.minus.length, 'filesize': bundle.obj.minus.filesize, 'file': bundle.obj.minus.file.url}\nbd['author_name'] = bundle.obj.minus.author.name\nbd['filetype'] = str(bun... | <|body_start_0|>
bd = {'title': bundle.obj.minus.title, 'id': bundle.obj.minus.id, 'resource_uri': '/api/v1/minusrecord/%s/' % bundle.obj.minus.id, 'length': bundle.obj.minus.length, 'filesize': bundle.obj.minus.filesize, 'file': bundle.obj.minus.file.url}
bd['author_name'] = bundle.obj.minus.author.nam... | MinusWeekStatsResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MinusWeekStatsResource:
def _dehydrate_short(self, bundle):
"""put foreignkey data into the serialized bundle"""
<|body_0|>
def _dehydrate_full(self, bundle):
"""put foreignkey data into the serialized bundle"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_011785 | 5,016 | no_license | [
{
"docstring": "put foreignkey data into the serialized bundle",
"name": "_dehydrate_short",
"signature": "def _dehydrate_short(self, bundle)"
},
{
"docstring": "put foreignkey data into the serialized bundle",
"name": "_dehydrate_full",
"signature": "def _dehydrate_full(self, bundle)"
... | 2 | null | Implement the Python class `MinusWeekStatsResource` described below.
Class description:
Implement the MinusWeekStatsResource class.
Method signatures and docstrings:
- def _dehydrate_short(self, bundle): put foreignkey data into the serialized bundle
- def _dehydrate_full(self, bundle): put foreignkey data into the s... | Implement the Python class `MinusWeekStatsResource` described below.
Class description:
Implement the MinusWeekStatsResource class.
Method signatures and docstrings:
- def _dehydrate_short(self, bundle): put foreignkey data into the serialized bundle
- def _dehydrate_full(self, bundle): put foreignkey data into the s... | c61267e5a19142c2b7030534b24a2b7f97d0deb2 | <|skeleton|>
class MinusWeekStatsResource:
def _dehydrate_short(self, bundle):
"""put foreignkey data into the serialized bundle"""
<|body_0|>
def _dehydrate_full(self, bundle):
"""put foreignkey data into the serialized bundle"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MinusWeekStatsResource:
def _dehydrate_short(self, bundle):
"""put foreignkey data into the serialized bundle"""
bd = {'title': bundle.obj.minus.title, 'id': bundle.obj.minus.id, 'resource_uri': '/api/v1/minusrecord/%s/' % bundle.obj.minus.id, 'length': bundle.obj.minus.length, 'filesize': bun... | the_stack_v2_python_sparse | modules/minusstore/api.py | ibitprogress/minus-master | train | 0 | |
dc5062f9ae292324c6a6279004d2e86cb35dd55c | [
"self._filepath = filepath\nself._autofill = autofill\nself._sep = sep\nself._host = socket.gethostname()\nself._user = getpass.getuser()\nself._autotext = '%s%s%s%s' % (self._host, self._sep, self._user, self._sep) if self._autofill is True else ''\nif printheader is False and os.path.exists(self._filepath) is Fal... | <|body_start_0|>
self._filepath = filepath
self._autofill = autofill
self._sep = sep
self._host = socket.gethostname()
self._user = getpass.getuser()
self._autotext = '%s%s%s%s' % (self._host, self._sep, self._user, self._sep) if self._autofill is True else ''
if ... | This is a small and simple log file creator/writer class. The calling program is responsible for passing the proper arguments to create the log file header. (i.e.: printheader=True, headertext='some,header,text,here') On class instantiation, validation is performed to determine if the log file exists. If the log file d... | Log | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Log:
"""This is a small and simple log file creator/writer class. The calling program is responsible for passing the proper arguments to create the log file header. (i.e.: printheader=True, headertext='some,header,text,here') On class instantiation, validation is performed to determine if the log... | stack_v2_sparse_classes_36k_train_011786 | 7,510 | permissive | [
{
"docstring": "Class initialiser.",
"name": "__init__",
"signature": "def __init__(self, filepath, autofill=True, printheader=False, headertext='', sep=',')"
},
{
"docstring": "Write text to the log file defined at instantiation. Args: text (str): Delimited text string to be written to the log.... | 3 | stack_v2_sparse_classes_30k_train_010340 | Implement the Python class `Log` described below.
Class description:
This is a small and simple log file creator/writer class. The calling program is responsible for passing the proper arguments to create the log file header. (i.e.: printheader=True, headertext='some,header,text,here') On class instantiation, validati... | Implement the Python class `Log` described below.
Class description:
This is a small and simple log file creator/writer class. The calling program is responsible for passing the proper arguments to create the log file header. (i.e.: printheader=True, headertext='some,header,text,here') On class instantiation, validati... | 824bee75ecd756b9097581e5cf5929b389a74240 | <|skeleton|>
class Log:
"""This is a small and simple log file creator/writer class. The calling program is responsible for passing the proper arguments to create the log file header. (i.e.: printheader=True, headertext='some,header,text,here') On class instantiation, validation is performed to determine if the log... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Log:
"""This is a small and simple log file creator/writer class. The calling program is responsible for passing the proper arguments to create the log file header. (i.e.: printheader=True, headertext='some,header,text,here') On class instantiation, validation is performed to determine if the log file exists.... | the_stack_v2_python_sparse | build/lib/utils3/log.py | S3DEV/utils3 | train | 0 |
92a26ea192637dcdf422b462a446a22806887140 | [
"super().__init__()\nself.in_channels = in_channels\nself.out_channels = out_channels\nself.num_filters = num_filters\nself.num_pool_layers = num_pool_layers\nself.dropout_probability = dropout_probability\nself.down_sample_layers = nn.ModuleList([MultiDomainConvBlock(forward_operator, backward_operator, in_channel... | <|body_start_0|>
super().__init__()
self.in_channels = in_channels
self.out_channels = out_channels
self.num_filters = num_filters
self.num_pool_layers = num_pool_layers
self.dropout_probability = dropout_probability
self.down_sample_layers = nn.ModuleList([MultiD... | Unet modification to be used with Multi-domain network as in AIRS Medical submission to the Fast MRI 2020 challenge. | MultiDomainUnet2d | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiDomainUnet2d:
"""Unet modification to be used with Multi-domain network as in AIRS Medical submission to the Fast MRI 2020 challenge."""
def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, num_filters: int, num_pool_layers: in... | stack_v2_sparse_classes_36k_train_011787 | 11,794 | permissive | [
{
"docstring": "Parameters ---------- forward_operator: Callable Forward Operator. backward_operator: Callable Backward Operator. in_channels: int Number of input channels to the u-net. out_channels: int Number of output channels to the u-net. num_filters: int Number of output channels of the first convolutiona... | 2 | stack_v2_sparse_classes_30k_train_001868 | Implement the Python class `MultiDomainUnet2d` described below.
Class description:
Unet modification to be used with Multi-domain network as in AIRS Medical submission to the Fast MRI 2020 challenge.
Method signatures and docstrings:
- def __init__(self, forward_operator: Callable, backward_operator: Callable, in_cha... | Implement the Python class `MultiDomainUnet2d` described below.
Class description:
Unet modification to be used with Multi-domain network as in AIRS Medical submission to the Fast MRI 2020 challenge.
Method signatures and docstrings:
- def __init__(self, forward_operator: Callable, backward_operator: Callable, in_cha... | 2a4c29342bc52a404aae097bc2654fb4323e1ac8 | <|skeleton|>
class MultiDomainUnet2d:
"""Unet modification to be used with Multi-domain network as in AIRS Medical submission to the Fast MRI 2020 challenge."""
def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, num_filters: int, num_pool_layers: in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiDomainUnet2d:
"""Unet modification to be used with Multi-domain network as in AIRS Medical submission to the Fast MRI 2020 challenge."""
def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, num_filters: int, num_pool_layers: int, dropout_pr... | the_stack_v2_python_sparse | direct/nn/multidomainnet/multidomain.py | NKI-AI/direct | train | 151 |
32d62d93df88ed9350aba218d19f3a16dbf707c7 | [
"proc_mounts = 'rootfs / rootfs rw 0 0\\nnone /sys sysfs rw,nosuid,nodev,noexec,relatime 0 0\\nnone /proc proc rw,nosuid,nodev,noexec,relatime 0 0\\nnone /dev devtmpfs rw,relatime,size=4056920k,nr_inodes=1014230,mode=755 0 0\\nnone /dev/pts devpts rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=000 0 0\\n/dev/map... | <|body_start_0|>
proc_mounts = 'rootfs / rootfs rw 0 0\nnone /sys sysfs rw,nosuid,nodev,noexec,relatime 0 0\nnone /proc proc rw,nosuid,nodev,noexec,relatime 0 0\nnone /dev devtmpfs rw,relatime,size=4056920k,nr_inodes=1014230,mode=755 0 0\nnone /dev/pts devpts rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=00... | Test the linux client utils. | ClientUtilsLinuxTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientUtilsLinuxTest:
"""Test the linux client utils."""
def testLinuxGetRawDevice(self):
"""Test the parser for linux mounts."""
<|body_0|>
def testLinuxTransactionLog(self):
"""Tests the linux transaction log."""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_36k_train_011788 | 4,763 | permissive | [
{
"docstring": "Test the parser for linux mounts.",
"name": "testLinuxGetRawDevice",
"signature": "def testLinuxGetRawDevice(self)"
},
{
"docstring": "Tests the linux transaction log.",
"name": "testLinuxTransactionLog",
"signature": "def testLinuxTransactionLog(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012648 | Implement the Python class `ClientUtilsLinuxTest` described below.
Class description:
Test the linux client utils.
Method signatures and docstrings:
- def testLinuxGetRawDevice(self): Test the parser for linux mounts.
- def testLinuxTransactionLog(self): Tests the linux transaction log. | Implement the Python class `ClientUtilsLinuxTest` described below.
Class description:
Test the linux client utils.
Method signatures and docstrings:
- def testLinuxGetRawDevice(self): Test the parser for linux mounts.
- def testLinuxTransactionLog(self): Tests the linux transaction log.
<|skeleton|>
class ClientUtil... | 44c0eb8c938302098ef7efae8cfd6b90bcfbb2d6 | <|skeleton|>
class ClientUtilsLinuxTest:
"""Test the linux client utils."""
def testLinuxGetRawDevice(self):
"""Test the parser for linux mounts."""
<|body_0|>
def testLinuxTransactionLog(self):
"""Tests the linux transaction log."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClientUtilsLinuxTest:
"""Test the linux client utils."""
def testLinuxGetRawDevice(self):
"""Test the parser for linux mounts."""
proc_mounts = 'rootfs / rootfs rw 0 0\nnone /sys sysfs rw,nosuid,nodev,noexec,relatime 0 0\nnone /proc proc rw,nosuid,nodev,noexec,relatime 0 0\nnone /dev devt... | the_stack_v2_python_sparse | grr/client/grr_response_client/linux/client_utils_linux_test.py | google/grr | train | 4,683 |
3244bf8ea0d56d10eea595fbe67aa8ccbe21fafd | [
"super(OnSidewalkTest, self).__init__(name, actor, 0, None, optional)\nself.logger.debug('%s.__init__()' % self.__class__.__name__)\nself._actor = actor\nself._map = CarlaDataProvider.get_map()\nself._onsidewalk_active = False\nself.positive_shift = shapely.geometry.LineString([(0, 0), (0.0, 1.2)])\nself.negative_s... | <|body_start_0|>
super(OnSidewalkTest, self).__init__(name, actor, 0, None, optional)
self.logger.debug('%s.__init__()' % self.__class__.__name__)
self._actor = actor
self._map = CarlaDataProvider.get_map()
self._onsidewalk_active = False
self.positive_shift = shapely.geo... | This class contains an atomic test to detect sidewalk invasions. Important parameters: - actor: CARLA actor to be used for this test - optional [optional]: If True, the result is not considered for an overall pass/fail result | OnSidewalkTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OnSidewalkTest:
"""This class contains an atomic test to detect sidewalk invasions. Important parameters: - actor: CARLA actor to be used for this test - optional [optional]: If True, the result is not considered for an overall pass/fail result"""
def __init__(self, actor, optional=False, na... | stack_v2_sparse_classes_36k_train_011789 | 44,616 | permissive | [
{
"docstring": "Construction with sensor setup",
"name": "__init__",
"signature": "def __init__(self, actor, optional=False, name='OnSidewalkTest')"
},
{
"docstring": "Check lane invasion count",
"name": "update",
"signature": "def update(self)"
}
] | 2 | null | Implement the Python class `OnSidewalkTest` described below.
Class description:
This class contains an atomic test to detect sidewalk invasions. Important parameters: - actor: CARLA actor to be used for this test - optional [optional]: If True, the result is not considered for an overall pass/fail result
Method signa... | Implement the Python class `OnSidewalkTest` described below.
Class description:
This class contains an atomic test to detect sidewalk invasions. Important parameters: - actor: CARLA actor to be used for this test - optional [optional]: If True, the result is not considered for an overall pass/fail result
Method signa... | 8ab0894b92e1f994802a218002021ee075c405bf | <|skeleton|>
class OnSidewalkTest:
"""This class contains an atomic test to detect sidewalk invasions. Important parameters: - actor: CARLA actor to be used for this test - optional [optional]: If True, the result is not considered for an overall pass/fail result"""
def __init__(self, actor, optional=False, na... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OnSidewalkTest:
"""This class contains an atomic test to detect sidewalk invasions. Important parameters: - actor: CARLA actor to be used for this test - optional [optional]: If True, the result is not considered for an overall pass/fail result"""
def __init__(self, actor, optional=False, name='OnSidewal... | the_stack_v2_python_sparse | carla_rllib/carla_rllib-prak_evaluator-carla_rllib-prak_evaluator/carla_rllib/prak_evaluator/srunner/scenarioconfigs/scenariomanager/scenarioatomics/atomic_criteria.py | TinaMenke/Deep-Reinforcement-Learning | train | 9 |
f46989d4ad19be0294b5e48975f596d4f111f3b6 | [
"if not process.is_active:\n raise serializers.ValidationError('Process {} is not active.'.format(process))\nreturn process",
"if self.instance and self.instance.collection != collection:\n self.instance.validate_change_collection(collection)\nreturn collection",
"update_collection = 'collection' in valid... | <|body_start_0|>
if not process.is_active:
raise serializers.ValidationError('Process {} is not active.'.format(process))
return process
<|end_body_0|>
<|body_start_1|>
if self.instance and self.instance.collection != collection:
self.instance.validate_change_collection(... | Serializer for Data objects. | DataSerializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataSerializer:
"""Serializer for Data objects."""
def validate_process(self, process):
"""Check that process is active."""
<|body_0|>
def validate_collection(self, collection):
"""Verify that changing collection is done in the right place."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_011790 | 3,632 | permissive | [
{
"docstring": "Check that process is active.",
"name": "validate_process",
"signature": "def validate_process(self, process)"
},
{
"docstring": "Verify that changing collection is done in the right place.",
"name": "validate_collection",
"signature": "def validate_collection(self, colle... | 3 | stack_v2_sparse_classes_30k_train_013003 | Implement the Python class `DataSerializer` described below.
Class description:
Serializer for Data objects.
Method signatures and docstrings:
- def validate_process(self, process): Check that process is active.
- def validate_collection(self, collection): Verify that changing collection is done in the right place.
-... | Implement the Python class `DataSerializer` described below.
Class description:
Serializer for Data objects.
Method signatures and docstrings:
- def validate_process(self, process): Check that process is active.
- def validate_collection(self, collection): Verify that changing collection is done in the right place.
-... | 25c0c45235ef37beb45c1af4c917fbbae6282016 | <|skeleton|>
class DataSerializer:
"""Serializer for Data objects."""
def validate_process(self, process):
"""Check that process is active."""
<|body_0|>
def validate_collection(self, collection):
"""Verify that changing collection is done in the right place."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataSerializer:
"""Serializer for Data objects."""
def validate_process(self, process):
"""Check that process is active."""
if not process.is_active:
raise serializers.ValidationError('Process {} is not active.'.format(process))
return process
def validate_collect... | the_stack_v2_python_sparse | resolwe/flow/serializers/data.py | genialis/resolwe | train | 35 |
bb71e87b760f753c42a94c827740976d42b9be58 | [
"if not numRows:\n return []\noutput = [[1]]\nfor i in range(1, numRows):\n row = []\n for j in range(i + 1):\n if j == 0:\n row.append(output[i - 1][0])\n elif j == i:\n row.append(output[i - 1][-1])\n else:\n row.append(output[i - 1][j - 1] + output[i... | <|body_start_0|>
if not numRows:
return []
output = [[1]]
for i in range(1, numRows):
row = []
for j in range(i + 1):
if j == 0:
row.append(output[i - 1][0])
elif j == i:
row.append(output... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def generate_terse(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not numRows:
... | stack_v2_sparse_classes_36k_train_011791 | 1,574 | no_license | [
{
"docstring": ":type numRows: int :rtype: List[List[int]]",
"name": "generate",
"signature": "def generate(self, numRows)"
},
{
"docstring": ":type numRows: int :rtype: List[List[int]]",
"name": "generate_terse",
"signature": "def generate_terse(self, numRows)"
}
] | 2 | stack_v2_sparse_classes_30k_train_020103 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def generate_terse(self, numRows): :type numRows: int :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def generate_terse(self, numRows): :type numRows: int :rtype: List[List[int]]
<|skeleton|>
class Soluti... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def generate_terse(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
if not numRows:
return []
output = [[1]]
for i in range(1, numRows):
row = []
for j in range(i + 1):
if j == 0:
row.ap... | the_stack_v2_python_sparse | src/lt_118.py | oxhead/CodingYourWay | train | 0 | |
4098019b631071b929d9b152789846d53222acaa | [
"super().__init__(coordinator)\nself.entity_description = description\nself._device_id = device_id\nself._attr_unique_id = f'{device_id}_{description.key}'\nself._attr_name = sensor.display_name\nself._attr_device_info = DeviceInfo(identifiers={(DOMAIN, device_id)}, name=device.name, hw_version=device.hardware_vers... | <|body_start_0|>
super().__init__(coordinator)
self.entity_description = description
self._device_id = device_id
self._attr_unique_id = f'{device_id}_{description.key}'
self._attr_name = sensor.display_name
self._attr_device_info = DeviceInfo(identifiers={(DOMAIN, device_... | Representation of an Oncue entity. | OncueEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OncueEntity:
"""Representation of an Oncue entity."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, OncueDevice]], device_id: str, device: OncueDevice, sensor: OncueSensor, description: EntityDescription) -> None:
"""Initialize the sensor."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_011792 | 3,156 | permissive | [
{
"docstring": "Initialize the sensor.",
"name": "__init__",
"signature": "def __init__(self, coordinator: DataUpdateCoordinator[dict[str, OncueDevice]], device_id: str, device: OncueDevice, sensor: OncueSensor, description: EntityDescription) -> None"
},
{
"docstring": "Return the sensor value.... | 3 | null | Implement the Python class `OncueEntity` described below.
Class description:
Representation of an Oncue entity.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator[dict[str, OncueDevice]], device_id: str, device: OncueDevice, sensor: OncueSensor, description: EntityDescription) -... | Implement the Python class `OncueEntity` described below.
Class description:
Representation of an Oncue entity.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator[dict[str, OncueDevice]], device_id: str, device: OncueDevice, sensor: OncueSensor, description: EntityDescription) -... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class OncueEntity:
"""Representation of an Oncue entity."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, OncueDevice]], device_id: str, device: OncueDevice, sensor: OncueSensor, description: EntityDescription) -> None:
"""Initialize the sensor."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OncueEntity:
"""Representation of an Oncue entity."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, OncueDevice]], device_id: str, device: OncueDevice, sensor: OncueSensor, description: EntityDescription) -> None:
"""Initialize the sensor."""
super().__init__(coordinator... | the_stack_v2_python_sparse | homeassistant/components/oncue/entity.py | home-assistant/core | train | 35,501 |
122df3ae9a84ecd450297c5b04a97b349ea1bc6b | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn DeviceAndAppManagementRoleAssignment()",
"from .role_assignment import RoleAssignment\nfrom .role_assignment import RoleAssignment\nfields: Dict[str, Callable[[Any], None]] = {'members': lambda n: setattr(self, 'members', n.get_collect... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return DeviceAndAppManagementRoleAssignment()
<|end_body_0|>
<|body_start_1|>
from .role_assignment import RoleAssignment
from .role_assignment import RoleAssignment
fields: Dict[str, C... | The Role Assignment resource. Role assignments tie together a role definition with members and scopes. There can be one or more role assignments per role. This applies to custom and built-in roles. | DeviceAndAppManagementRoleAssignment | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeviceAndAppManagementRoleAssignment:
"""The Role Assignment resource. Role assignments tie together a role definition with members and scopes. There can be one or more role assignments per role. This applies to custom and built-in roles."""
def create_from_discriminator_value(parse_node: Op... | stack_v2_sparse_classes_36k_train_011793 | 2,440 | 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: DeviceAndAppManagementRoleAssignment",
"name": "create_from_discriminator_value",
"signature": "def create_f... | 3 | null | Implement the Python class `DeviceAndAppManagementRoleAssignment` described below.
Class description:
The Role Assignment resource. Role assignments tie together a role definition with members and scopes. There can be one or more role assignments per role. This applies to custom and built-in roles.
Method signatures ... | Implement the Python class `DeviceAndAppManagementRoleAssignment` described below.
Class description:
The Role Assignment resource. Role assignments tie together a role definition with members and scopes. There can be one or more role assignments per role. This applies to custom and built-in roles.
Method signatures ... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class DeviceAndAppManagementRoleAssignment:
"""The Role Assignment resource. Role assignments tie together a role definition with members and scopes. There can be one or more role assignments per role. This applies to custom and built-in roles."""
def create_from_discriminator_value(parse_node: Op... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeviceAndAppManagementRoleAssignment:
"""The Role Assignment resource. Role assignments tie together a role definition with members and scopes. There can be one or more role assignments per role. This applies to custom and built-in roles."""
def create_from_discriminator_value(parse_node: Optional[ParseN... | the_stack_v2_python_sparse | msgraph/generated/models/device_and_app_management_role_assignment.py | microsoftgraph/msgraph-sdk-python | train | 135 |
9aa80106342f775b26660553f7057706494b7e96 | [
"super(UpBlock, self).__init__(in_channels, general_args.kernel_sizes, channel_sizes, bottleneck_channels, use_bottleneck)\nself.subpixel = SubPixel1D(in_channels=sum(channel_sizes), out_channels=sum(channel_sizes) // general_args.upscale_factor, upscale_factor=general_args.upscale_factor)\nself.dropout = nn.Dropou... | <|body_start_0|>
super(UpBlock, self).__init__(in_channels, general_args.kernel_sizes, channel_sizes, bottleneck_channels, use_bottleneck)
self.subpixel = SubPixel1D(in_channels=sum(channel_sizes), out_channels=sum(channel_sizes) // general_args.upscale_factor, upscale_factor=general_args.upscale_factor... | UpBlock | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpBlock:
def __init__(self, in_channels, channel_sizes, bottleneck_channels, use_bottleneck, general_args):
"""Initializes the class UpBlock that inherits its main properties from BaseBlock. UpBlock is the main ingredient of the decoding part of both the generator and the auto-encoder. :... | stack_v2_sparse_classes_36k_train_011794 | 1,951 | no_license | [
{
"docstring": "Initializes the class UpBlock that inherits its main properties from BaseBlock. UpBlock is the main ingredient of the decoding part of both the generator and the auto-encoder. :param in_channels: number of channels of the input tensor (scalar int). :param channel_sizes: number of filters for eac... | 2 | stack_v2_sparse_classes_30k_train_013938 | Implement the Python class `UpBlock` described below.
Class description:
Implement the UpBlock class.
Method signatures and docstrings:
- def __init__(self, in_channels, channel_sizes, bottleneck_channels, use_bottleneck, general_args): Initializes the class UpBlock that inherits its main properties from BaseBlock. U... | Implement the Python class `UpBlock` described below.
Class description:
Implement the UpBlock class.
Method signatures and docstrings:
- def __init__(self, in_channels, channel_sizes, bottleneck_channels, use_bottleneck, general_args): Initializes the class UpBlock that inherits its main properties from BaseBlock. U... | 76c4537d605bdf6f46586aa245c8bdec64fc4ec1 | <|skeleton|>
class UpBlock:
def __init__(self, in_channels, channel_sizes, bottleneck_channels, use_bottleneck, general_args):
"""Initializes the class UpBlock that inherits its main properties from BaseBlock. UpBlock is the main ingredient of the decoding part of both the generator and the auto-encoder. :... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UpBlock:
def __init__(self, in_channels, channel_sizes, bottleneck_channels, use_bottleneck, general_args):
"""Initializes the class UpBlock that inherits its main properties from BaseBlock. UpBlock is the main ingredient of the decoding part of both the generator and the auto-encoder. :param in_chann... | the_stack_v2_python_sparse | blocks/up_block.py | aosbro/audio-super-resolution | train | 0 | |
73e8babfd5e0e672e15a5b6968724ece0cf6a44c | [
"highlight = get_object_or_404(highlights, pk=pk)\nuser = request.user\nhighlight.highlightsvoters.remove(user)\nhighlight.save()\nserializer_context = {'request': request}\nserializer = self.serializer_class(highlight, context=serializer_context)\nreturn Response(serializer.data, status=status.HTTP_200_OK)",
"hi... | <|body_start_0|>
highlight = get_object_or_404(highlights, pk=pk)
user = request.user
highlight.highlightsvoters.remove(user)
highlight.save()
serializer_context = {'request': request}
serializer = self.serializer_class(highlight, context=serializer_context)
retur... | Allow users to add/remove a like to/from an answer instance. | HighlightsLikeAPIView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HighlightsLikeAPIView:
"""Allow users to add/remove a like to/from an answer instance."""
def delete(self, request, pk):
"""Remove request.user from the voters queryset of an answer instance."""
<|body_0|>
def post(self, request, pk):
"""Add request.user to the v... | stack_v2_sparse_classes_36k_train_011795 | 10,756 | no_license | [
{
"docstring": "Remove request.user from the voters queryset of an answer instance.",
"name": "delete",
"signature": "def delete(self, request, pk)"
},
{
"docstring": "Add request.user to the voters queryset of an answer instance.",
"name": "post",
"signature": "def post(self, request, p... | 2 | stack_v2_sparse_classes_30k_train_003339 | Implement the Python class `HighlightsLikeAPIView` described below.
Class description:
Allow users to add/remove a like to/from an answer instance.
Method signatures and docstrings:
- def delete(self, request, pk): Remove request.user from the voters queryset of an answer instance.
- def post(self, request, pk): Add ... | Implement the Python class `HighlightsLikeAPIView` described below.
Class description:
Allow users to add/remove a like to/from an answer instance.
Method signatures and docstrings:
- def delete(self, request, pk): Remove request.user from the voters queryset of an answer instance.
- def post(self, request, pk): Add ... | e74237fd26226afa108d981c95e962c72ab4b11a | <|skeleton|>
class HighlightsLikeAPIView:
"""Allow users to add/remove a like to/from an answer instance."""
def delete(self, request, pk):
"""Remove request.user from the voters queryset of an answer instance."""
<|body_0|>
def post(self, request, pk):
"""Add request.user to the v... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HighlightsLikeAPIView:
"""Allow users to add/remove a like to/from an answer instance."""
def delete(self, request, pk):
"""Remove request.user from the voters queryset of an answer instance."""
highlight = get_object_or_404(highlights, pk=pk)
user = request.user
highlight... | the_stack_v2_python_sparse | battlesoccer/app/api/views.py | battlesocce/tournament | train | 0 |
60b2fba24c18be3fd65449e31e24574a42f9166d | [
"super(AnaphoraDocumentGraph, self).__init__()\nself.name = name if name else os.path.basename(anaphora_filepath)\nself.ns = namespace\nself.root = self.ns + ':root_node'\nself.tokens = []\nif anaphora_filepath:\n self.add_node(self.root, layers={self.ns})\n with open(anaphora_filepath, 'r') as anno_file:\n ... | <|body_start_0|>
super(AnaphoraDocumentGraph, self).__init__()
self.name = name if name else os.path.basename(anaphora_filepath)
self.ns = namespace
self.root = self.ns + ':root_node'
self.tokens = []
if anaphora_filepath:
self.add_node(self.root, layers={self... | represents a text in which abstract anaphora were annotated as a graph. Attributes ---------- ns : str the namespace of the graph (default: anaphoricity) tokens : list of int a list of node IDs (int) which represent the tokens in the order they occur in the text root : str name of the document root node ID (default: se... | AnaphoraDocumentGraph | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnaphoraDocumentGraph:
"""represents a text in which abstract anaphora were annotated as a graph. Attributes ---------- ns : str the namespace of the graph (default: anaphoricity) tokens : list of int a list of node IDs (int) which represent the tokens in the order they occur in the text root : s... | stack_v2_sparse_classes_36k_train_011796 | 7,148 | permissive | [
{
"docstring": "Reads an abstract anaphora annotation file, creates a directed graph and adds a node for each token, as well as an edge from the root node to each token. If a token is annotated, it will have a 'namespace:annotation' attribute, which maps to a dict with the keys 'anaphoricity' (str) and 'certain... | 2 | stack_v2_sparse_classes_30k_train_011029 | Implement the Python class `AnaphoraDocumentGraph` described below.
Class description:
represents a text in which abstract anaphora were annotated as a graph. Attributes ---------- ns : str the namespace of the graph (default: anaphoricity) tokens : list of int a list of node IDs (int) which represent the tokens in th... | Implement the Python class `AnaphoraDocumentGraph` described below.
Class description:
represents a text in which abstract anaphora were annotated as a graph. Attributes ---------- ns : str the namespace of the graph (default: anaphoricity) tokens : list of int a list of node IDs (int) which represent the tokens in th... | 108fea5a7f61030a9c11708296e06ee8ccfd7783 | <|skeleton|>
class AnaphoraDocumentGraph:
"""represents a text in which abstract anaphora were annotated as a graph. Attributes ---------- ns : str the namespace of the graph (default: anaphoricity) tokens : list of int a list of node IDs (int) which represent the tokens in the order they occur in the text root : s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AnaphoraDocumentGraph:
"""represents a text in which abstract anaphora were annotated as a graph. Attributes ---------- ns : str the namespace of the graph (default: anaphoricity) tokens : list of int a list of node IDs (int) which represent the tokens in the order they occur in the text root : str name of th... | the_stack_v2_python_sparse | src/discoursegraphs/readwrite/anaphoricity.py | dav009/discoursegraphs | train | 1 |
f72172eac2c6d21542d8b35978e52d69bbc8cf3e | [
"flask_config = config.flask_config[config.FLASK_ENV]\nlog_conf = flask_config.LOGGER_CONF\npath = os.path.join(config.BASEDIR, log_conf['path'])\nif not os.path.isdir(path):\n os.makedirs(path)\nlogger = logging.getLogger()\nlogger.setLevel(log_conf['level'])\nhandler = logging.StreamHandler()\nhandler.setForma... | <|body_start_0|>
flask_config = config.flask_config[config.FLASK_ENV]
log_conf = flask_config.LOGGER_CONF
path = os.path.join(config.BASEDIR, log_conf['path'])
if not os.path.isdir(path):
os.makedirs(path)
logger = logging.getLogger()
logger.setLevel(log_conf[... | FlaskApp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlaskApp:
def init_logger(cls):
"""日志配置 :return:"""
<|body_0|>
def init_extensions(cls, _app):
"""初始化第三方插件 :param _app: :return:"""
<|body_1|>
def create_app(cls, service_name, config_name):
"""根据config name创建不同环境下的app :param service_name: 服务名称就是... | stack_v2_sparse_classes_36k_train_011797 | 3,975 | no_license | [
{
"docstring": "日志配置 :return:",
"name": "init_logger",
"signature": "def init_logger(cls)"
},
{
"docstring": "初始化第三方插件 :param _app: :return:",
"name": "init_extensions",
"signature": "def init_extensions(cls, _app)"
},
{
"docstring": "根据config name创建不同环境下的app :param service_name:... | 3 | null | Implement the Python class `FlaskApp` described below.
Class description:
Implement the FlaskApp class.
Method signatures and docstrings:
- def init_logger(cls): 日志配置 :return:
- def init_extensions(cls, _app): 初始化第三方插件 :param _app: :return:
- def create_app(cls, service_name, config_name): 根据config name创建不同环境下的app :p... | Implement the Python class `FlaskApp` described below.
Class description:
Implement the FlaskApp class.
Method signatures and docstrings:
- def init_logger(cls): 日志配置 :return:
- def init_extensions(cls, _app): 初始化第三方插件 :param _app: :return:
- def create_app(cls, service_name, config_name): 根据config name创建不同环境下的app :p... | ff36deb73e667de16a73b1666bbeaf28f993f944 | <|skeleton|>
class FlaskApp:
def init_logger(cls):
"""日志配置 :return:"""
<|body_0|>
def init_extensions(cls, _app):
"""初始化第三方插件 :param _app: :return:"""
<|body_1|>
def create_app(cls, service_name, config_name):
"""根据config name创建不同环境下的app :param service_name: 服务名称就是... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FlaskApp:
def init_logger(cls):
"""日志配置 :return:"""
flask_config = config.flask_config[config.FLASK_ENV]
log_conf = flask_config.LOGGER_CONF
path = os.path.join(config.BASEDIR, log_conf['path'])
if not os.path.isdir(path):
os.makedirs(path)
logger = ... | the_stack_v2_python_sparse | backend/app/app.py | LyanJin/check-pay | train | 0 | |
5d48017fb1950f08a3b9488176dd2339e84ea943 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn AuthenticationStrengthPolicy()",
"from .authentication_combination_configuration import AuthenticationCombinationConfiguration\nfrom .authentication_method_modes import AuthenticationMethodModes\nfrom .authentication_strength_policy_ty... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return AuthenticationStrengthPolicy()
<|end_body_0|>
<|body_start_1|>
from .authentication_combination_configuration import AuthenticationCombinationConfiguration
from .authentication_method_mo... | AuthenticationStrengthPolicy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthenticationStrengthPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AuthenticationStrengthPolicy:
"""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... | stack_v2_sparse_classes_36k_train_011798 | 5,616 | 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: AuthenticationStrengthPolicy",
"name": "create_from_discriminator_value",
"signature": "def create_from_disc... | 3 | null | Implement the Python class `AuthenticationStrengthPolicy` described below.
Class description:
Implement the AuthenticationStrengthPolicy class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AuthenticationStrengthPolicy: Creates a new instance of the a... | Implement the Python class `AuthenticationStrengthPolicy` described below.
Class description:
Implement the AuthenticationStrengthPolicy class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AuthenticationStrengthPolicy: Creates a new instance of the a... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class AuthenticationStrengthPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AuthenticationStrengthPolicy:
"""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... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AuthenticationStrengthPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AuthenticationStrengthPolicy:
"""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 th... | the_stack_v2_python_sparse | msgraph/generated/models/authentication_strength_policy.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
bf85f25e540c2ec927089e40f668f0f160bca552 | [
"super(Cell, self).__init__()\nself.desc = desc\nself.drop_path_prob = desc.get('drop_path_prob') or 0",
"affine = True\nif isinstance(self.desc.genotype[0][0], list):\n affine = False\nif self.reduction_prev:\n self.preprocess0 = FactorizedReduce(self.C_prev_prev, self.C, affine)\nelse:\n self.preproces... | <|body_start_0|>
super(Cell, self).__init__()
self.desc = desc
self.drop_path_prob = desc.get('drop_path_prob') or 0
<|end_body_0|>
<|body_start_1|>
affine = True
if isinstance(self.desc.genotype[0][0], list):
affine = False
if self.reduction_prev:
... | Cell structure according to desc. | Cell | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cell:
"""Cell structure according to desc."""
def __init__(self, desc):
"""Init Cell."""
<|body_0|>
def build(self):
"""Build Cell."""
<|body_1|>
def _compile(self, C, op_names, indices_out, indices_inp, concat, reduction):
"""Compile the cel... | stack_v2_sparse_classes_36k_train_011799 | 6,558 | permissive | [
{
"docstring": "Init Cell.",
"name": "__init__",
"signature": "def __init__(self, desc)"
},
{
"docstring": "Build Cell.",
"name": "build",
"signature": "def build(self)"
},
{
"docstring": "Compile the cell. :param C: channels of this cell :type C: int :param op_names: list of all... | 4 | null | Implement the Python class `Cell` described below.
Class description:
Cell structure according to desc.
Method signatures and docstrings:
- def __init__(self, desc): Init Cell.
- def build(self): Build Cell.
- def _compile(self, C, op_names, indices_out, indices_inp, concat, reduction): Compile the cell. :param C: ch... | Implement the Python class `Cell` described below.
Class description:
Cell structure according to desc.
Method signatures and docstrings:
- def __init__(self, desc): Init Cell.
- def build(self): Build Cell.
- def _compile(self, C, op_names, indices_out, indices_inp, concat, reduction): Compile the cell. :param C: ch... | df51ed9c1d6dbde1deef63f2a037a369f8554406 | <|skeleton|>
class Cell:
"""Cell structure according to desc."""
def __init__(self, desc):
"""Init Cell."""
<|body_0|>
def build(self):
"""Build Cell."""
<|body_1|>
def _compile(self, C, op_names, indices_out, indices_inp, concat, reduction):
"""Compile the cel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Cell:
"""Cell structure according to desc."""
def __init__(self, desc):
"""Init Cell."""
super(Cell, self).__init__()
self.desc = desc
self.drop_path_prob = desc.get('drop_path_prob') or 0
def build(self):
"""Build Cell."""
affine = True
if isi... | the_stack_v2_python_sparse | built-in/TensorFlow/Research/cv/image_classification/Cars_for_TensorFlow/automl/vega/search_space/fine_grained_space/operators/darts.py | Huawei-Ascend/modelzoo | train | 1 |
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