blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1bbecd0812b097516c66d62a2f2e859eb7fd5366 | [
"auth_serializer = self.serializer_class(data=request.data)\nauth_serializer.is_valid(raise_exception=True)\nclient = request.client\nremember_me = bool(request.data.get('remember_me', False))\nid = auth_serializer.validated_data['user'].pk\nreturn self.response_login(id=id, client=client, remember_me=remember_me)"... | <|body_start_0|>
auth_serializer = self.serializer_class(data=request.data)
auth_serializer.is_valid(raise_exception=True)
client = request.client
remember_me = bool(request.data.get('remember_me', False))
id = auth_serializer.validated_data['user'].pk
return self.respons... | AuthViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthViewSet:
def create(self, request):
"""@apiVersion 1.0.0 @api {post} /auth Login @apiName Authenticate @apiGroup VMS_API Account @apiPermission none @apiHeader {number} Type Device type (1: Mobile, 2: Android phone, 3: IOS phone, 4: Window phone, 5: Android tablet, 6: IOS tablet, 7: ... | stack_v2_sparse_classes_36k_train_010700 | 4,091 | no_license | [
{
"docstring": "@apiVersion 1.0.0 @api {post} /auth Login @apiName Authenticate @apiGroup VMS_API Account @apiPermission none @apiHeader {number} Type Device type (1: Mobile, 2: Android phone, 3: IOS phone, 4: Window phone, 5: Android tablet, 6: IOS tablet, 7: Mobile web, tablet web, 8: Desktop web) @apiHeader ... | 2 | stack_v2_sparse_classes_30k_train_017405 | Implement the Python class `AuthViewSet` described below.
Class description:
Implement the AuthViewSet class.
Method signatures and docstrings:
- def create(self, request): @apiVersion 1.0.0 @api {post} /auth Login @apiName Authenticate @apiGroup VMS_API Account @apiPermission none @apiHeader {number} Type Device typ... | Implement the Python class `AuthViewSet` described below.
Class description:
Implement the AuthViewSet class.
Method signatures and docstrings:
- def create(self, request): @apiVersion 1.0.0 @api {post} /auth Login @apiName Authenticate @apiGroup VMS_API Account @apiPermission none @apiHeader {number} Type Device typ... | b5c5bd25fb05965621615d09439bf79fa1b8d5e8 | <|skeleton|>
class AuthViewSet:
def create(self, request):
"""@apiVersion 1.0.0 @api {post} /auth Login @apiName Authenticate @apiGroup VMS_API Account @apiPermission none @apiHeader {number} Type Device type (1: Mobile, 2: Android phone, 3: IOS phone, 4: Window phone, 5: Android tablet, 6: IOS tablet, 7: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AuthViewSet:
def create(self, request):
"""@apiVersion 1.0.0 @api {post} /auth Login @apiName Authenticate @apiGroup VMS_API Account @apiPermission none @apiHeader {number} Type Device type (1: Mobile, 2: Android phone, 3: IOS phone, 4: Window phone, 5: Android tablet, 6: IOS tablet, 7: Mobile web, ta... | the_stack_v2_python_sparse | src/kitchenrock_api/views/auth.py | thqbop/kitchenrock | train | 0 | |
6bb32b76d02e3da36e1001a08aa52405b0dfb527 | [
"self.input_str_1 = 'ZXVVYZW'\nself.input_str_2 = 'XKYKZPW'\nself.output = ['X', 'Y', 'Z', 'W']\nreturn (self.input_str_1, self.input_str_2, self.output)",
"input_str_1, input_str_2, output = self.setUp()\noutput_method = longestCommonSubsequence(input_str_1, input_str_2)\nself.assertEqual(output, output_method)"... | <|body_start_0|>
self.input_str_1 = 'ZXVVYZW'
self.input_str_2 = 'XKYKZPW'
self.output = ['X', 'Y', 'Z', 'W']
return (self.input_str_1, self.input_str_2, self.output)
<|end_body_0|>
<|body_start_1|>
input_str_1, input_str_2, output = self.setUp()
output_method = longestC... | Class with unittests for LongestCommonSubsequence.py | test_LongestCommonSubsequence | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class test_LongestCommonSubsequence:
"""Class with unittests for LongestCommonSubsequence.py"""
def setUp(self):
"""Sets up input."""
<|body_0|>
def test_user_input(self):
"""Checks if method works properly."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_010701 | 1,000 | no_license | [
{
"docstring": "Sets up input.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Checks if method works properly.",
"name": "test_user_input",
"signature": "def test_user_input(self)"
}
] | 2 | null | Implement the Python class `test_LongestCommonSubsequence` described below.
Class description:
Class with unittests for LongestCommonSubsequence.py
Method signatures and docstrings:
- def setUp(self): Sets up input.
- def test_user_input(self): Checks if method works properly. | Implement the Python class `test_LongestCommonSubsequence` described below.
Class description:
Class with unittests for LongestCommonSubsequence.py
Method signatures and docstrings:
- def setUp(self): Sets up input.
- def test_user_input(self): Checks if method works properly.
<|skeleton|>
class test_LongestCommonSu... | 3aa62ad36c3b06b2a3b05f1f8e2a9e21d68b371f | <|skeleton|>
class test_LongestCommonSubsequence:
"""Class with unittests for LongestCommonSubsequence.py"""
def setUp(self):
"""Sets up input."""
<|body_0|>
def test_user_input(self):
"""Checks if method works properly."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class test_LongestCommonSubsequence:
"""Class with unittests for LongestCommonSubsequence.py"""
def setUp(self):
"""Sets up input."""
self.input_str_1 = 'ZXVVYZW'
self.input_str_2 = 'XKYKZPW'
self.output = ['X', 'Y', 'Z', 'W']
return (self.input_str_1, self.input_str_2, ... | the_stack_v2_python_sparse | AlgoExpert_algorithms/Hard/LongestCommonSubsequence/test_LongestCommonSubsequence.py | JakubKazimierski/PythonPortfolio | train | 9 |
50286fddcb1510f97603ded61af83027e649e057 | [
"self._name = name or 'eurodollar_futures'\nif (rate_term is None) == (maturity_date is None):\n msg = 'Error creating the EurodollarFutures contract. Either rate_term or maturity_date is required.'\n raise ValueError(msg)\nif rate_term is not None and maturity_date is not None:\n msg = 'Error creating the... | <|body_start_0|>
self._name = name or 'eurodollar_futures'
if (rate_term is None) == (maturity_date is None):
msg = 'Error creating the EurodollarFutures contract. Either rate_term or maturity_date is required.'
raise ValueError(msg)
if rate_term is not None and maturity_... | Represents a collection of Eurodollar futures contracts. Interest rate futures are exchange traded futures contracts on Libor rates liquidly traded on exchanges such as Chicago Mercantile Exchange (CME) or London International Financial Futures and Options Exchange (LIFFE). Contracts on CME on a US Dollar spot Libor ra... | EurodollarFutures | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EurodollarFutures:
"""Represents a collection of Eurodollar futures contracts. Interest rate futures are exchange traded futures contracts on Libor rates liquidly traded on exchanges such as Chicago Mercantile Exchange (CME) or London International Financial Futures and Options Exchange (LIFFE). ... | stack_v2_sparse_classes_36k_train_010702 | 7,341 | permissive | [
{
"docstring": "Initialize the Eurodollar futures object. Args: expiry_date: A Rank 1 `DateTensor` specifying the dates on which the futures contracts expire. contract_notional: An optional scalar or Rank 1 `Tensor` of real dtype specifying the unit (or size) for the contract. For example for eurodollar futures... | 2 | stack_v2_sparse_classes_30k_train_017157 | Implement the Python class `EurodollarFutures` described below.
Class description:
Represents a collection of Eurodollar futures contracts. Interest rate futures are exchange traded futures contracts on Libor rates liquidly traded on exchanges such as Chicago Mercantile Exchange (CME) or London International Financial... | Implement the Python class `EurodollarFutures` described below.
Class description:
Represents a collection of Eurodollar futures contracts. Interest rate futures are exchange traded futures contracts on Libor rates liquidly traded on exchanges such as Chicago Mercantile Exchange (CME) or London International Financial... | 0d3a2193c0f2d320b65e602cf01d7a617da484df | <|skeleton|>
class EurodollarFutures:
"""Represents a collection of Eurodollar futures contracts. Interest rate futures are exchange traded futures contracts on Libor rates liquidly traded on exchanges such as Chicago Mercantile Exchange (CME) or London International Financial Futures and Options Exchange (LIFFE). ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EurodollarFutures:
"""Represents a collection of Eurodollar futures contracts. Interest rate futures are exchange traded futures contracts on Libor rates liquidly traded on exchanges such as Chicago Mercantile Exchange (CME) or London International Financial Futures and Options Exchange (LIFFE). Contracts on ... | the_stack_v2_python_sparse | tf_quant_finance/experimental/instruments/eurodollar_futures.py | google/tf-quant-finance | train | 4,165 |
138c38d57df430790b62993346246a3886ccd638 | [
"if not heights:\n return 0\nstack = []\nresult, index = (0, 0)\nwhile index < len(heights):\n if not stack or heights[index] >= heights[stack[-1]]:\n stack.append(index)\n index += 1\n else:\n curr = stack.pop()\n if not stack:\n area = heights[curr] * index\n ... | <|body_start_0|>
if not heights:
return 0
stack = []
result, index = (0, 0)
while index < len(heights):
if not stack or heights[index] >= heights[stack[-1]]:
stack.append(index)
index += 1
else:
curr = st... | Solution | [
"MIT",
"LicenseRef-scancode-other-permissive"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_0|>
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not heights:... | stack_v2_sparse_classes_36k_train_010703 | 1,752 | permissive | [
{
"docstring": ":type heights: List[int] :rtype: int",
"name": "largestRectangleArea",
"signature": "def largestRectangleArea(self, heights)"
},
{
"docstring": ":type matrix: List[List[str]] :rtype: int",
"name": "maximalRectangle",
"signature": "def maximalRectangle(self, matrix)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011348 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int
<|skeleton|>
class ... | b0136eb1e4ae11dc6abcc10f5dc82fa9761bdaba | <|skeleton|>
class Solution:
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_0|>
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
if not heights:
return 0
stack = []
result, index = (0, 0)
while index < len(heights):
if not stack or heights[index] >= heights[stack[-1]]:
... | the_stack_v2_python_sparse | 1-100q/85.py | aggy07/Leetcode | train | 1 | |
2189d5dbe608f60fa01eb42710210ab807be59d1 | [
"flag, ele = self.dr.judge_element(tgp_login_button)\ntry:\n if flag:\n self.qq_login(ele)\n self.judeg_first_login()\n self.lgnore_update()\n else:\n self.lgnore_update()\n self.dr.click(tgp_nav_my)\n flag, loginPop_login = self.dr.judge_element(tgp_loginPop_login)\n... | <|body_start_0|>
flag, ele = self.dr.judge_element(tgp_login_button)
try:
if flag:
self.qq_login(ele)
self.judeg_first_login()
self.lgnore_update()
else:
self.lgnore_update()
self.dr.click(tgp_nav_my)... | enterApp_page | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class enterApp_page:
def tgp_login_main(self):
"""tgp登录主函数 :return:"""
<|body_0|>
def lgnore_update(self):
"""首页判断有无更新弹窗，有则忽略 :return:"""
<|body_1|>
def judeg_first_login(self):
"""判断是否为首次登录，首次登录完善资料 :return:"""
<|body_2|>
def qq_login(sel... | stack_v2_sparse_classes_36k_train_010704 | 4,622 | no_license | [
{
"docstring": "tgp登录主函数 :return:",
"name": "tgp_login_main",
"signature": "def tgp_login_main(self)"
},
{
"docstring": "首页判断有无更新弹窗，有则忽略 :return:",
"name": "lgnore_update",
"signature": "def lgnore_update(self)"
},
{
"docstring": "判断是否为首次登录，首次登录完善资料 :return:",
"name": "judeg_... | 4 | stack_v2_sparse_classes_30k_train_013585 | Implement the Python class `enterApp_page` described below.
Class description:
Implement the enterApp_page class.
Method signatures and docstrings:
- def tgp_login_main(self): tgp登录主函数 :return:
- def lgnore_update(self): 首页判断有无更新弹窗，有则忽略 :return:
- def judeg_first_login(self): 判断是否为首次登录，首次登录完善资料 :return:
- def qq_logi... | Implement the Python class `enterApp_page` described below.
Class description:
Implement the enterApp_page class.
Method signatures and docstrings:
- def tgp_login_main(self): tgp登录主函数 :return:
- def lgnore_update(self): 首页判断有无更新弹窗，有则忽略 :return:
- def judeg_first_login(self): 判断是否为首次登录，首次登录完善资料 :return:
- def qq_logi... | 8e82a6051c22d6d9480b9f60aefad347d927c592 | <|skeleton|>
class enterApp_page:
def tgp_login_main(self):
"""tgp登录主函数 :return:"""
<|body_0|>
def lgnore_update(self):
"""首页判断有无更新弹窗，有则忽略 :return:"""
<|body_1|>
def judeg_first_login(self):
"""判断是否为首次登录，首次登录完善资料 :return:"""
<|body_2|>
def qq_login(sel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class enterApp_page:
def tgp_login_main(self):
"""tgp登录主函数 :return:"""
flag, ele = self.dr.judge_element(tgp_login_button)
try:
if flag:
self.qq_login(ele)
self.judeg_first_login()
self.lgnore_update()
else:
... | the_stack_v2_python_sparse | Po/testpage/enterApp_page.py | Felixshao/UiAutomation | train | 1 | |
e5e327f31990ba02267e9b8dffa25f2fe1269096 | [
"self.name = name\nself.owner = owner\nself.tag = tag\nself.state = state\nself.countr = countr",
"if self.tag is not None:\n query = '\\n { repository(name: \"%s\", owner: \"%s\") {\\n pullRequests(states: %s, last: %i, orderBy: {field: CREATED_AT, direction: ASC},labels:\"... | <|body_start_0|>
self.name = name
self.owner = owner
self.tag = tag
self.state = state
self.countr = countr
<|end_body_0|>
<|body_start_1|>
if self.tag is not None:
query = '\n { repository(name: "%s", owner: "%s") {\n pull... | The Queries class defines an object that represents a pull request query | Queries | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Queries:
"""The Queries class defines an object that represents a pull request query"""
def __init__(self, owner, name, state, tag=None, countr=30):
"""initialize query object with state, name, owner, tag and counter."""
<|body_0|>
def pulls(self):
"""this functi... | stack_v2_sparse_classes_36k_train_010705 | 2,463 | permissive | [
{
"docstring": "initialize query object with state, name, owner, tag and counter.",
"name": "__init__",
"signature": "def __init__(self, owner, name, state, tag=None, countr=30)"
},
{
"docstring": "this function returns pull request query",
"name": "pulls",
"signature": "def pulls(self)"... | 2 | stack_v2_sparse_classes_30k_train_008948 | Implement the Python class `Queries` described below.
Class description:
The Queries class defines an object that represents a pull request query
Method signatures and docstrings:
- def __init__(self, owner, name, state, tag=None, countr=30): initialize query object with state, name, owner, tag and counter.
- def pul... | Implement the Python class `Queries` described below.
Class description:
The Queries class defines an object that represents a pull request query
Method signatures and docstrings:
- def __init__(self, owner, name, state, tag=None, countr=30): initialize query object with state, name, owner, tag and counter.
- def pul... | 31fd3fb1233f39ea2252a7a44160ff8a2140f7bd | <|skeleton|>
class Queries:
"""The Queries class defines an object that represents a pull request query"""
def __init__(self, owner, name, state, tag=None, countr=30):
"""initialize query object with state, name, owner, tag and counter."""
<|body_0|>
def pulls(self):
"""this functi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Queries:
"""The Queries class defines an object that represents a pull request query"""
def __init__(self, owner, name, state, tag=None, countr=30):
"""initialize query object with state, name, owner, tag and counter."""
self.name = name
self.owner = owner
self.tag = tag
... | the_stack_v2_python_sparse | Python/PR_Workflow/src/graphqlapi.py | HarshCasper/Rotten-Scripts | train | 1,474 |
beaf1d281f37daf7409f336c2ff27968fc0f0e64 | [
"if x + y <= z or x + z <= y or y + z <= x:\n raise TriangleError('The triangle inequality failed.')\nself.sides = (x, y, z)",
"if self.sides[0] == self.sides[1] == self.sides[2]:\n return 'equilateral'\nelif self.sides[0] == self.sides[1] or self.sides[0] == self.sides[2] or self.sides[1] == self.sides[2]:... | <|body_start_0|>
if x + y <= z or x + z <= y or y + z <= x:
raise TriangleError('The triangle inequality failed.')
self.sides = (x, y, z)
<|end_body_0|>
<|body_start_1|>
if self.sides[0] == self.sides[1] == self.sides[2]:
return 'equilateral'
elif self.sides[0] =... | A triangle. | Triangle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Triangle:
"""A triangle."""
def __init__(self, x, y, z):
"""Create a triangle. Args: x: The length of a side of a triangle. y: The length of a side of a triangle. z: The length of a side of a triangle. Raises: TriangleError: The triangle inequality failed."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_010706 | 1,095 | no_license | [
{
"docstring": "Create a triangle. Args: x: The length of a side of a triangle. y: The length of a side of a triangle. z: The length of a side of a triangle. Raises: TriangleError: The triangle inequality failed.",
"name": "__init__",
"signature": "def __init__(self, x, y, z)"
},
{
"docstring": ... | 2 | stack_v2_sparse_classes_30k_train_002446 | Implement the Python class `Triangle` described below.
Class description:
A triangle.
Method signatures and docstrings:
- def __init__(self, x, y, z): Create a triangle. Args: x: The length of a side of a triangle. y: The length of a side of a triangle. z: The length of a side of a triangle. Raises: TriangleError: Th... | Implement the Python class `Triangle` described below.
Class description:
A triangle.
Method signatures and docstrings:
- def __init__(self, x, y, z): Create a triangle. Args: x: The length of a side of a triangle. y: The length of a side of a triangle. z: The length of a side of a triangle. Raises: TriangleError: Th... | be0e2f635a7558f56c61bc0b36c6146b01d1e6e6 | <|skeleton|>
class Triangle:
"""A triangle."""
def __init__(self, x, y, z):
"""Create a triangle. Args: x: The length of a side of a triangle. y: The length of a side of a triangle. z: The length of a side of a triangle. Raises: TriangleError: The triangle inequality failed."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Triangle:
"""A triangle."""
def __init__(self, x, y, z):
"""Create a triangle. Args: x: The length of a side of a triangle. y: The length of a side of a triangle. z: The length of a side of a triangle. Raises: TriangleError: The triangle inequality failed."""
if x + y <= z or x + z <= y o... | the_stack_v2_python_sparse | all_data/exercism_data/python/triangle/638401889cd4482babbebb5553bd5b24.py | itsolutionscorp/AutoStyle-Clustering | train | 4 |
c5afd837def6a6ec93ab77a5746a49b3d3ffd86d | [
"assert padding in ['SAME', 'VALID', 'REFLECT'], 'Error: unsupported padding'\nself._padding = padding\nwith tf.variable_scope(name):\n if isinstance(stride, int):\n stride = [1, stride, stride, 1]\n else:\n assert len(stride) == 0, 'stride is either an int or a 2-tuple'\n stride = [1, st... | <|body_start_0|>
assert padding in ['SAME', 'VALID', 'REFLECT'], 'Error: unsupported padding'
self._padding = padding
with tf.variable_scope(name):
if isinstance(stride, int):
stride = [1, stride, stride, 1]
else:
assert len(stride) == 0, '... | Convolution layer with support for equalized learning. | LayerConv | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LayerConv:
"""Convolution layer with support for equalized learning."""
def __init__(self, name, w, n, stride, padding='SAME', use_scaling=False, relu_slope=1.0):
"""Layer constructor. Args: name: string, layer name. stride: int or 2-tuple, stride for the convolution kernel. w: int o... | stack_v2_sparse_classes_36k_train_010707 | 13,442 | permissive | [
{
"docstring": "Layer constructor. Args: name: string, layer name. stride: int or 2-tuple, stride for the convolution kernel. w: int or 2-tuple, width of the convolution kernel. n: 2-tuple of ints, input and output channel depths. padding: string, the padding method. {SAME, VALID, REFLECT}. use_scaling: bool, w... | 2 | stack_v2_sparse_classes_30k_train_000196 | Implement the Python class `LayerConv` described below.
Class description:
Convolution layer with support for equalized learning.
Method signatures and docstrings:
- def __init__(self, name, w, n, stride, padding='SAME', use_scaling=False, relu_slope=1.0): Layer constructor. Args: name: string, layer name. stride: in... | Implement the Python class `LayerConv` described below.
Class description:
Convolution layer with support for equalized learning.
Method signatures and docstrings:
- def __init__(self, name, w, n, stride, padding='SAME', use_scaling=False, relu_slope=1.0): Layer constructor. Args: name: string, layer name. stride: in... | 091d6ae9e087cf5a6e18b00bce7d8f7ede9d9d08 | <|skeleton|>
class LayerConv:
"""Convolution layer with support for equalized learning."""
def __init__(self, name, w, n, stride, padding='SAME', use_scaling=False, relu_slope=1.0):
"""Layer constructor. Args: name: string, layer name. stride: int or 2-tuple, stride for the convolution kernel. w: int o... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LayerConv:
"""Convolution layer with support for equalized learning."""
def __init__(self, name, w, n, stride, padding='SAME', use_scaling=False, relu_slope=1.0):
"""Layer constructor. Args: name: string, layer name. stride: int or 2-tuple, stride for the convolution kernel. w: int or 2-tuple, wi... | the_stack_v2_python_sparse | layers.py | MoustafaMeshry/StEP | train | 6 |
ce9c034a1a8cca208d23b5ae7f3a721d71178484 | [
"corp = CorporationFactory.get()\nlabel_group = corp.product_label_group_repository.get_label_group(args['label_group_id'])\nresult = label_group.add_label(args['label_name'])\nif isinstance(result, basestring):\n return (500, result)\nelse:\n return {'label': {'id': result.id, 'name': result.name, 'label_gro... | <|body_start_0|>
corp = CorporationFactory.get()
label_group = corp.product_label_group_repository.get_label_group(args['label_group_id'])
result = label_group.add_label(args['label_name'])
if isinstance(result, basestring):
return (500, result)
else:
retu... | 商品标签 | AProductLable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
<|body_0|>
def delete(args):
"""删除标签"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
corp = CorporationFactory.get()
label_group = corp.product_label_group_repository.get_label_group(ar... | stack_v2_sparse_classes_36k_train_010708 | 1,045 | no_license | [
{
"docstring": "创建标签",
"name": "put",
"signature": "def put(args)"
},
{
"docstring": "删除标签",
"name": "delete",
"signature": "def delete(args)"
}
] | 2 | null | Implement the Python class `AProductLable` described below.
Class description:
商品标签
Method signatures and docstrings:
- def put(args): 创建标签
- def delete(args): 删除标签 | Implement the Python class `AProductLable` described below.
Class description:
商品标签
Method signatures and docstrings:
- def put(args): 创建标签
- def delete(args): 删除标签
<|skeleton|>
class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
<|body_0|>
def delete(args):
"""删除标签"""
... | 39860a451678ab50ad93ce8ebe2ef8490af65d62 | <|skeleton|>
class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
<|body_0|>
def delete(args):
"""删除标签"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
corp = CorporationFactory.get()
label_group = corp.product_label_group_repository.get_label_group(args['label_group_id'])
result = label_group.add_label(args['label_name'])
if isinstance(result, basestring):
... | the_stack_v2_python_sparse | api/mall/product_label/a_product_label.py | chengdg/gaia | train | 0 |
fcaee598f9b2a8f09f1c45d18f52f32a666f6275 | [
"expected_children_level_0 = ['render', 'configuration']\nfor child in expected_children_level_0:\n if len(xml_object.xpath(child)) != 1:\n raise ValueError(\"Graphical Slider Tool definition must include exactly one '{0}' tag\".format(child))\nexpected_children_level_1 = ['functions']... | <|body_start_0|>
expected_children_level_0 = ['render', 'configuration']
for child in expected_children_level_0:
if len(xml_object.xpath(child)) != 1:
raise ValueError("Graphical Slider Tool definition must include exactly one '{0}' tag".format(child))
... | GraphicalSliderToolDescriptor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GraphicalSliderToolDescriptor:
def definition_from_xml(cls, xml_object, system):
"""Pull out the data into dictionary. Args: xml_object: xml from file. Returns: dict"""
<|body_0|>
def definition_to_xml(self, resource_fs):
"""Return an xml element representing this de... | stack_v2_sparse_classes_36k_train_010709 | 7,776 | no_license | [
{
"docstring": "Pull out the data into dictionary. Args: xml_object: xml from file. Returns: dict",
"name": "definition_from_xml",
"signature": "def definition_from_xml(cls, xml_object, system)"
},
{
"docstring": "Return an xml element representing this definition.",
"name": "definition_to_x... | 2 | stack_v2_sparse_classes_30k_train_000823 | Implement the Python class `GraphicalSliderToolDescriptor` described below.
Class description:
Implement the GraphicalSliderToolDescriptor class.
Method signatures and docstrings:
- def definition_from_xml(cls, xml_object, system): Pull out the data into dictionary. Args: xml_object: xml from file. Returns: dict
- de... | Implement the Python class `GraphicalSliderToolDescriptor` described below.
Class description:
Implement the GraphicalSliderToolDescriptor class.
Method signatures and docstrings:
- def definition_from_xml(cls, xml_object, system): Pull out the data into dictionary. Args: xml_object: xml from file. Returns: dict
- de... | 5fa3a818c3d41bd9c3eb25122e1d376c8910269c | <|skeleton|>
class GraphicalSliderToolDescriptor:
def definition_from_xml(cls, xml_object, system):
"""Pull out the data into dictionary. Args: xml_object: xml from file. Returns: dict"""
<|body_0|>
def definition_to_xml(self, resource_fs):
"""Return an xml element representing this de... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GraphicalSliderToolDescriptor:
def definition_from_xml(cls, xml_object, system):
"""Pull out the data into dictionary. Args: xml_object: xml from file. Returns: dict"""
expected_children_level_0 = ['render', 'configuration']
for child in expected_children_level_0:
if len(xm... | the_stack_v2_python_sparse | ExtractFeatures/Data/pratik98/gst_module.py | vivekaxl/LexisNexis | train | 9 | |
61f9948d1b883fbfedb6da7fe5a350094cdf5242 | [
"self.adder = Adder()\nself.subtracter = Subtracter()\nself.multiplier = Multiplier()\nself.divider = Divider()\nself.calculator = Calculator(self.adder, self.subtracter, self.multiplier, self.divider)",
"self.calculator.enter_number(0)\nwith self.assertRaises(InsufficientOperands):\n self.calculator.add()",
... | <|body_start_0|>
self.adder = Adder()
self.subtracter = Subtracter()
self.multiplier = Multiplier()
self.divider = Divider()
self.calculator = Calculator(self.adder, self.subtracter, self.multiplier, self.divider)
<|end_body_0|>
<|body_start_1|>
self.calculator.enter_num... | Class for testing the Calculator | CalculatorTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CalculatorTests:
"""Class for testing the Calculator"""
def setUp(self):
"""Configure a new Adder, Subtractor, Multiplier, and Divider to instantiate a calculator"""
<|body_0|>
def test_insufficient_operands(self):
"""At least two operands are needed."""
... | stack_v2_sparse_classes_36k_train_010710 | 3,649 | no_license | [
{
"docstring": "Configure a new Adder, Subtractor, Multiplier, and Divider to instantiate a calculator",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "At least two operands are needed.",
"name": "test_insufficient_operands",
"signature": "def test_insufficient_operan... | 6 | stack_v2_sparse_classes_30k_train_020721 | Implement the Python class `CalculatorTests` described below.
Class description:
Class for testing the Calculator
Method signatures and docstrings:
- def setUp(self): Configure a new Adder, Subtractor, Multiplier, and Divider to instantiate a calculator
- def test_insufficient_operands(self): At least two operands ar... | Implement the Python class `CalculatorTests` described below.
Class description:
Class for testing the Calculator
Method signatures and docstrings:
- def setUp(self): Configure a new Adder, Subtractor, Multiplier, and Divider to instantiate a calculator
- def test_insufficient_operands(self): At least two operands ar... | b1fea0309b3495b3e1dc167d7029bc9e4b6f00f1 | <|skeleton|>
class CalculatorTests:
"""Class for testing the Calculator"""
def setUp(self):
"""Configure a new Adder, Subtractor, Multiplier, and Divider to instantiate a calculator"""
<|body_0|>
def test_insufficient_operands(self):
"""At least two operands are needed."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CalculatorTests:
"""Class for testing the Calculator"""
def setUp(self):
"""Configure a new Adder, Subtractor, Multiplier, and Divider to instantiate a calculator"""
self.adder = Adder()
self.subtracter = Subtracter()
self.multiplier = Multiplier()
self.divider = D... | the_stack_v2_python_sparse | students/roy_t/lesson06/unittest_calculator.py | UWPCE-PythonCert-ClassRepos/SP_Online_Course2_2018 | train | 4 |
fdcddb34ad7adda4320d3826e9ad5ce24805d888 | [
"self.logger = logger\nself.account_name = config[constants.azure_storage_account_name_key_name]\nself.access_key = config[constants.azure_storage_access_key_key_name]\nself.endpoint_suffix = config[constants.azure_storage_endpoint_suffix_key_name]\nself.connection_string = 'DefaultEndpointsProtocol=https;AccountNa... | <|body_start_0|>
self.logger = logger
self.account_name = config[constants.azure_storage_account_name_key_name]
self.access_key = config[constants.azure_storage_access_key_key_name]
self.endpoint_suffix = config[constants.azure_storage_endpoint_suffix_key_name]
self.connection_st... | This reader reads data from given table Attributes ---------- logger : AirbyteLogger Airbyte's Logger instance account_name : str The name of your storage account. access_key : str The access key to your storage account. Read more about access keys here - https://docs.microsoft.com/en-us/azure/storage/common/storage-ac... | AzureTableReader | [
"MIT",
"Elastic-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AzureTableReader:
"""This reader reads data from given table Attributes ---------- logger : AirbyteLogger Airbyte's Logger instance account_name : str The name of your storage account. access_key : str The access key to your storage account. Read more about access keys here - https://docs.microso... | stack_v2_sparse_classes_36k_train_010711 | 4,691 | permissive | [
{
"docstring": "Parameters ---------- config : dict Airbyte's configuration obect",
"name": "__init__",
"signature": "def __init__(self, logger: AirbyteLogger, config: dict)"
},
{
"docstring": "Returns azure table service client from connection string. Table service client facilitate interaction... | 5 | stack_v2_sparse_classes_30k_train_021271 | Implement the Python class `AzureTableReader` described below.
Class description:
This reader reads data from given table Attributes ---------- logger : AirbyteLogger Airbyte's Logger instance account_name : str The name of your storage account. access_key : str The access key to your storage account. Read more about ... | Implement the Python class `AzureTableReader` described below.
Class description:
This reader reads data from given table Attributes ---------- logger : AirbyteLogger Airbyte's Logger instance account_name : str The name of your storage account. access_key : str The access key to your storage account. Read more about ... | 8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6 | <|skeleton|>
class AzureTableReader:
"""This reader reads data from given table Attributes ---------- logger : AirbyteLogger Airbyte's Logger instance account_name : str The name of your storage account. access_key : str The access key to your storage account. Read more about access keys here - https://docs.microso... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AzureTableReader:
"""This reader reads data from given table Attributes ---------- logger : AirbyteLogger Airbyte's Logger instance account_name : str The name of your storage account. access_key : str The access key to your storage account. Read more about access keys here - https://docs.microsoft.com/en-us/... | the_stack_v2_python_sparse | dts/airbyte/airbyte-integrations/connectors/source-azure-table/source_azure_table/azure_table.py | alldatacenter/alldata | train | 774 |
07a67dc383eb73700592342f6236403dd1cf8ef5 | [
"if not isinstance(input_shape, Iterable):\n input_shape = (input_shape,)\nif not isinstance(output_shape, Iterable):\n output_shape = (output_shape,)\nself.input_shape = input_shape\nself.output_shape = output_shape\nself.kernel = np.zeros(input_shape + output_shape)\nself.bias = np.zeros(output_shape)",
"... | <|body_start_0|>
if not isinstance(input_shape, Iterable):
input_shape = (input_shape,)
if not isinstance(output_shape, Iterable):
output_shape = (output_shape,)
self.input_shape = input_shape
self.output_shape = output_shape
self.kernel = np.zeros(input_s... | Predict linear combination | Linear | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Linear:
"""Predict linear combination"""
def __init__(self, input_shape, output_shape):
"""init"""
<|body_0|>
def __call__(self, x):
"""call"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not isinstance(input_shape, Iterable):
in... | stack_v2_sparse_classes_36k_train_010712 | 1,500 | permissive | [
{
"docstring": "init",
"name": "__init__",
"signature": "def __init__(self, input_shape, output_shape)"
},
{
"docstring": "call",
"name": "__call__",
"signature": "def __call__(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001625 | Implement the Python class `Linear` described below.
Class description:
Predict linear combination
Method signatures and docstrings:
- def __init__(self, input_shape, output_shape): init
- def __call__(self, x): call | Implement the Python class `Linear` described below.
Class description:
Predict linear combination
Method signatures and docstrings:
- def __init__(self, input_shape, output_shape): init
- def __call__(self, x): call
<|skeleton|>
class Linear:
"""Predict linear combination"""
def __init__(self, input_shape,... | 5be08e2fa4ef8cad9a3c1d4134c13acf4c68637f | <|skeleton|>
class Linear:
"""Predict linear combination"""
def __init__(self, input_shape, output_shape):
"""init"""
<|body_0|>
def __call__(self, x):
"""call"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Linear:
"""Predict linear combination"""
def __init__(self, input_shape, output_shape):
"""init"""
if not isinstance(input_shape, Iterable):
input_shape = (input_shape,)
if not isinstance(output_shape, Iterable):
output_shape = (output_shape,)
self.... | the_stack_v2_python_sparse | timecast/modules/_linear.py | NeoTim/timecast | train | 0 |
d8e4e6c538261220281f8af300add7742b332b82 | [
"d = {}\nk = {}\nstart = 0\nstep = 0\nfor i in range(8):\n start = start | cells[i] << i\nd[start] = step\nk[step] = start\nnn = 0\nwhile nn < N:\n nn += 1\n step += 1\n start = ~((start ^ start << 2) >> 1) & 126\n if start in d:\n T = nn - d[start]\n t_ = d[start] + (N - d[start]) % T\... | <|body_start_0|>
d = {}
k = {}
start = 0
step = 0
for i in range(8):
start = start | cells[i] << i
d[start] = step
k[step] = start
nn = 0
while nn < N:
nn += 1
step += 1
start = ~((start ^ start << 2)... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def prisonAfterNDays(self, cells, N):
""":type cells: List[int] :type N: int :rtype: List[int]"""
<|body_0|>
def raw(self, cells, N):
""":type cells: List[int] :type N: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_010713 | 1,587 | no_license | [
{
"docstring": ":type cells: List[int] :type N: int :rtype: List[int]",
"name": "prisonAfterNDays",
"signature": "def prisonAfterNDays(self, cells, N)"
},
{
"docstring": ":type cells: List[int] :type N: int :rtype: List[int]",
"name": "raw",
"signature": "def raw(self, cells, N)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014455 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def prisonAfterNDays(self, cells, N): :type cells: List[int] :type N: int :rtype: List[int]
- def raw(self, cells, N): :type cells: List[int] :type N: int :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def prisonAfterNDays(self, cells, N): :type cells: List[int] :type N: int :rtype: List[int]
- def raw(self, cells, N): :type cells: List[int] :type N: int :rtype: List[int]
<|sk... | 8075fbb40987d5e6af8d30941a19fa48a3320f56 | <|skeleton|>
class Solution:
def prisonAfterNDays(self, cells, N):
""":type cells: List[int] :type N: int :rtype: List[int]"""
<|body_0|>
def raw(self, cells, N):
""":type cells: List[int] :type N: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def prisonAfterNDays(self, cells, N):
""":type cells: List[int] :type N: int :rtype: List[int]"""
d = {}
k = {}
start = 0
step = 0
for i in range(8):
start = start | cells[i] << i
d[start] = step
k[step] = start
nn =... | the_stack_v2_python_sparse | p957/Solution.py | carwestsam/leetCode | train | 4 | |
f8991605b63979febe95371fada99ea635315fd0 | [
"super().__init__(mass_profile=None, grid=grid, mat_plot_1d=mat_plot_1d, visuals_1d=visuals_1d, include_1d=include_1d, mat_plot_2d=mat_plot_2d, visuals_2d=visuals_2d, include_2d=include_2d)\nself.mass_profile_pdf_list = mass_profile_pdf_list\nself.sigma = sigma\nself.low_limit = (1 - math.erf(sigma / math.sqrt(2)))... | <|body_start_0|>
super().__init__(mass_profile=None, grid=grid, mat_plot_1d=mat_plot_1d, visuals_1d=visuals_1d, include_1d=include_1d, mat_plot_2d=mat_plot_2d, visuals_2d=visuals_2d, include_2d=include_2d)
self.mass_profile_pdf_list = mass_profile_pdf_list
self.sigma = sigma
self.low_lim... | MassProfilePDFPlotter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MassProfilePDFPlotter:
def __init__(self, mass_profile_pdf_list: List[MassProfile], grid: aa.Grid2D, mat_plot_1d: MatPlot1D=MatPlot1D(), visuals_1d: Visuals1D=Visuals1D(), include_1d: Include1D=Include1D(), mat_plot_2d: MatPlot2D=MatPlot2D(), visuals_2d: Visuals2D=Visuals2D(), include_2d: Includ... | stack_v2_sparse_classes_36k_train_010714 | 14,759 | permissive | [
{
"docstring": "Plots the attributes of a list of `MassProfile` objects using the matplotlib methods `plot()` and `imshow()` and many other matplotlib functions which customize the plot's appearance. Figures plotted by this object average over a list mass profiles to computed the average value of each attribute... | 2 | stack_v2_sparse_classes_30k_train_012564 | Implement the Python class `MassProfilePDFPlotter` described below.
Class description:
Implement the MassProfilePDFPlotter class.
Method signatures and docstrings:
- def __init__(self, mass_profile_pdf_list: List[MassProfile], grid: aa.Grid2D, mat_plot_1d: MatPlot1D=MatPlot1D(), visuals_1d: Visuals1D=Visuals1D(), inc... | Implement the Python class `MassProfilePDFPlotter` described below.
Class description:
Implement the MassProfilePDFPlotter class.
Method signatures and docstrings:
- def __init__(self, mass_profile_pdf_list: List[MassProfile], grid: aa.Grid2D, mat_plot_1d: MatPlot1D=MatPlot1D(), visuals_1d: Visuals1D=Visuals1D(), inc... | d1a2e400b7ac984a21d972f54e419d8783342454 | <|skeleton|>
class MassProfilePDFPlotter:
def __init__(self, mass_profile_pdf_list: List[MassProfile], grid: aa.Grid2D, mat_plot_1d: MatPlot1D=MatPlot1D(), visuals_1d: Visuals1D=Visuals1D(), include_1d: Include1D=Include1D(), mat_plot_2d: MatPlot2D=MatPlot2D(), visuals_2d: Visuals2D=Visuals2D(), include_2d: Includ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MassProfilePDFPlotter:
def __init__(self, mass_profile_pdf_list: List[MassProfile], grid: aa.Grid2D, mat_plot_1d: MatPlot1D=MatPlot1D(), visuals_1d: Visuals1D=Visuals1D(), include_1d: Include1D=Include1D(), mat_plot_2d: MatPlot2D=MatPlot2D(), visuals_2d: Visuals2D=Visuals2D(), include_2d: Include2D=Include2D(... | the_stack_v2_python_sparse | autogalaxy/profiles/plot/mass_profile_plotters.py | Jammy2211/PyAutoGalaxy | train | 27 | |
82ba59cb5ccc331af05d3cf2014a300eebea8f3e | [
"if not (obj and len(TestCase.objects.filter(application=obj)) and len(Variable.objects.filter(application=obj))):\n return admin.ModelAdmin.get_fieldsets(self, request, obj=obj)\nelse:\n return ((None, {'fields': ('name', 'linkedApplication'), 'description': '<div style=\"font-size: 16px;color: red;\">All te... | <|body_start_0|>
if not (obj and len(TestCase.objects.filter(application=obj)) and len(Variable.objects.filter(application=obj))):
return admin.ModelAdmin.get_fieldsets(self, request, obj=obj)
else:
return ((None, {'fields': ('name', 'linkedApplication'), 'description': '<div sty... | ApplicationAdmin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApplicationAdmin:
def get_fieldsets(self, request, obj=None):
"""Display error message when it's impossible to delete the application"""
<|body_0|>
def has_delete_permission(self, request, obj=None):
"""Do not display delete button if some tests / variables are linke... | stack_v2_sparse_classes_36k_train_010715 | 21,881 | permissive | [
{
"docstring": "Display error message when it's impossible to delete the application",
"name": "get_fieldsets",
"signature": "def get_fieldsets(self, request, obj=None)"
},
{
"docstring": "Do not display delete button if some tests / variables are linked to this application",
"name": "has_de... | 2 | stack_v2_sparse_classes_30k_train_018195 | Implement the Python class `ApplicationAdmin` described below.
Class description:
Implement the ApplicationAdmin class.
Method signatures and docstrings:
- def get_fieldsets(self, request, obj=None): Display error message when it's impossible to delete the application
- def has_delete_permission(self, request, obj=No... | Implement the Python class `ApplicationAdmin` described below.
Class description:
Implement the ApplicationAdmin class.
Method signatures and docstrings:
- def get_fieldsets(self, request, obj=None): Display error message when it's impossible to delete the application
- def has_delete_permission(self, request, obj=No... | 590c84d5078fee4021fa23956390eb612b5f123d | <|skeleton|>
class ApplicationAdmin:
def get_fieldsets(self, request, obj=None):
"""Display error message when it's impossible to delete the application"""
<|body_0|>
def has_delete_permission(self, request, obj=None):
"""Do not display delete button if some tests / variables are linke... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ApplicationAdmin:
def get_fieldsets(self, request, obj=None):
"""Display error message when it's impossible to delete the application"""
if not (obj and len(TestCase.objects.filter(application=obj)) and len(Variable.objects.filter(application=obj))):
return admin.ModelAdmin.get_fie... | the_stack_v2_python_sparse | variableServer/admin.py | bhecquet/seleniumRobot-server | train | 0 | |
d0456bc22093db2ba0ba60e76021be1c854cc978 | [
"if which_challenge not in ('singlecoil', 'multicoil'):\n raise ValueError(f'Challenge should either be \"singlecoil\" or \"multicoil\"')\nself.mask_func = mask_func\nself.resolution = resolution\nself.which_challenge = which_challenge\nself.use_seed = use_seed",
"kspace = T.to_tensor(kspace)\nsensitivity = T.... | <|body_start_0|>
if which_challenge not in ('singlecoil', 'multicoil'):
raise ValueError(f'Challenge should either be "singlecoil" or "multicoil"')
self.mask_func = mask_func
self.resolution = resolution
self.which_challenge = which_challenge
self.use_seed = use_seed
... | Data Transformer for training U-Net models. | DataTransform | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataTransform:
"""Data Transformer for training U-Net models."""
def __init__(self, resolution, which_challenge, mask_func=None, use_seed=True):
"""Args: mask_func (common.subsample.MaskFunc): A function that can create a mask of appropriate shape. resolution (int): Resolution of the... | stack_v2_sparse_classes_36k_train_010716 | 8,057 | no_license | [
{
"docstring": "Args: mask_func (common.subsample.MaskFunc): A function that can create a mask of appropriate shape. resolution (int): Resolution of the image. which_challenge (str): Either \"singlecoil\" or \"multicoil\" denoting the dataset. use_seed (bool): If true, this class computes a pseudo random number... | 2 | stack_v2_sparse_classes_30k_train_018503 | Implement the Python class `DataTransform` described below.
Class description:
Data Transformer for training U-Net models.
Method signatures and docstrings:
- def __init__(self, resolution, which_challenge, mask_func=None, use_seed=True): Args: mask_func (common.subsample.MaskFunc): A function that can create a mask ... | Implement the Python class `DataTransform` described below.
Class description:
Data Transformer for training U-Net models.
Method signatures and docstrings:
- def __init__(self, resolution, which_challenge, mask_func=None, use_seed=True): Args: mask_func (common.subsample.MaskFunc): A function that can create a mask ... | 219652c8a08c4f2f682acd9f95a4e1b3fd36b70b | <|skeleton|>
class DataTransform:
"""Data Transformer for training U-Net models."""
def __init__(self, resolution, which_challenge, mask_func=None, use_seed=True):
"""Args: mask_func (common.subsample.MaskFunc): A function that can create a mask of appropriate shape. resolution (int): Resolution of the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataTransform:
"""Data Transformer for training U-Net models."""
def __init__(self, resolution, which_challenge, mask_func=None, use_seed=True):
"""Args: mask_func (common.subsample.MaskFunc): A function that can create a mask of appropriate shape. resolution (int): Resolution of the image. which... | the_stack_v2_python_sparse | vs_rsn_fastmri/valid.py | Bala93/Holistic-MRI-Reconstruction | train | 1 |
f04f140f9907bcc2315ae873c771811ca5dc9c6e | [
"self.index = int(index)\nself.valid = False\nself.delta = Coordinate2D(unit='arcsec')\nself.before = None\nself.after = None\nself.epoch = None\nself.utc_range = Range()\nself.next_utc = None\nself.parse_header(header)",
"s = ''\nfor key, value in self.__dict__.items():\n s += f'{key}: {value}\\n'\nreturn s",... | <|body_start_0|>
self.index = int(index)
self.valid = False
self.delta = Coordinate2D(unit='arcsec')
self.before = None
self.after = None
self.epoch = None
self.utc_range = Range()
self.next_utc = None
self.parse_header(header)
<|end_body_0|>
<|bo... | GyroDrift | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GyroDrift:
def __init__(self, header, index):
"""Initializes a single drift. Contains information on a single drift consisting of a spatial delta between one time and another. Parameters ---------- header : fits.header.Header index : str or int The drift index identifier."""
<|bo... | stack_v2_sparse_classes_36k_train_010717 | 9,526 | permissive | [
{
"docstring": "Initializes a single drift. Contains information on a single drift consisting of a spatial delta between one time and another. Parameters ---------- header : fits.header.Header index : str or int The drift index identifier.",
"name": "__init__",
"signature": "def __init__(self, header, i... | 4 | stack_v2_sparse_classes_30k_test_000333 | Implement the Python class `GyroDrift` described below.
Class description:
Implement the GyroDrift class.
Method signatures and docstrings:
- def __init__(self, header, index): Initializes a single drift. Contains information on a single drift consisting of a spatial delta between one time and another. Parameters ---... | Implement the Python class `GyroDrift` described below.
Class description:
Implement the GyroDrift class.
Method signatures and docstrings:
- def __init__(self, header, index): Initializes a single drift. Contains information on a single drift consisting of a spatial delta between one time and another. Parameters ---... | 493700340cd34d5f319af6f3a562a82135bb30dd | <|skeleton|>
class GyroDrift:
def __init__(self, header, index):
"""Initializes a single drift. Contains information on a single drift consisting of a spatial delta between one time and another. Parameters ---------- header : fits.header.Header index : str or int The drift index identifier."""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GyroDrift:
def __init__(self, header, index):
"""Initializes a single drift. Contains information on a single drift consisting of a spatial delta between one time and another. Parameters ---------- header : fits.header.Header index : str or int The drift index identifier."""
self.index = int(i... | the_stack_v2_python_sparse | sofia_redux/scan/custom/sofia/info/gyro_drifts.py | SOFIA-USRA/sofia_redux | train | 12 | |
97fa4e181a1f55f1cd74680e46a85450435c8dbe | [
"self.food = food\nself.height = height\nself.width = width\nself.idx = 0\nself.pipe = deque([[0, 0]])\nself.snake = set()\nself.snake.add('0#0')\nself.piv = [0, 0]\nself.score = 0",
"if direction == 'U':\n self.piv[0] -= 1\nif direction == 'L':\n self.piv[1] -= 1\nif direction == 'R':\n self.piv[1] += 1... | <|body_start_0|>
self.food = food
self.height = height
self.width = width
self.idx = 0
self.pipe = deque([[0, 0]])
self.snake = set()
self.snake.add('0#0')
self.piv = [0, 0]
self.score = 0
<|end_body_0|>
<|body_start_1|>
if direction == 'U... | SnakeGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_36k_train_010718 | 2,350 | no_license | [
{
"docstring": "Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :type height: int :type food: List[List[int]]",
... | 2 | null | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | 196e58cd38db846653fb074cfd0363997121a7cf | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :... | the_stack_v2_python_sparse | Design Snake Game.py | nithinveer/leetcode-solutions | train | 0 | |
671eb46ae04c718978037e2680592b8d7086387d | [
"filter_columns = self._filter_columns if hasattr(self, '_filter_columns') else []\ncolumns = [c for c in self.__table__.columns if c.name not in filter_columns]\nreturn {c.name: getattr(self, c.name) for c in columns}",
"if 'default' not in kwargs:\n kwargs['default'] = lib.json_serializer\nreturn json.dumps(... | <|body_start_0|>
filter_columns = self._filter_columns if hasattr(self, '_filter_columns') else []
columns = [c for c in self.__table__.columns if c.name not in filter_columns]
return {c.name: getattr(self, c.name) for c in columns}
<|end_body_0|>
<|body_start_1|>
if 'default' not in kw... | base class for models | BaseObject | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseObject:
"""base class for models"""
def as_dict(self, **kwargs):
"""Get object as a dictionary"""
<|body_0|>
def json(self, **kwargs):
"""Get json string representation of object"""
<|body_1|>
def get_from_item(cls, db, the_item):
"""this... | stack_v2_sparse_classes_36k_train_010719 | 11,165 | permissive | [
{
"docstring": "Get object as a dictionary",
"name": "as_dict",
"signature": "def as_dict(self, **kwargs)"
},
{
"docstring": "Get json string representation of object",
"name": "json",
"signature": "def json(self, **kwargs)"
},
{
"docstring": "this function is auto-wired using th... | 3 | stack_v2_sparse_classes_30k_train_000845 | Implement the Python class `BaseObject` described below.
Class description:
base class for models
Method signatures and docstrings:
- def as_dict(self, **kwargs): Get object as a dictionary
- def json(self, **kwargs): Get json string representation of object
- def get_from_item(cls, db, the_item): this function is au... | Implement the Python class `BaseObject` described below.
Class description:
base class for models
Method signatures and docstrings:
- def as_dict(self, **kwargs): Get object as a dictionary
- def json(self, **kwargs): Get json string representation of object
- def get_from_item(cls, db, the_item): this function is au... | c0c38c7b02f41f482b01f145b0348ecbb82952a9 | <|skeleton|>
class BaseObject:
"""base class for models"""
def as_dict(self, **kwargs):
"""Get object as a dictionary"""
<|body_0|>
def json(self, **kwargs):
"""Get json string representation of object"""
<|body_1|>
def get_from_item(cls, db, the_item):
"""this... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseObject:
"""base class for models"""
def as_dict(self, **kwargs):
"""Get object as a dictionary"""
filter_columns = self._filter_columns if hasattr(self, '_filter_columns') else []
columns = [c for c in self.__table__.columns if c.name not in filter_columns]
return {c.n... | the_stack_v2_python_sparse | slick/model.py | underscorenygren/slick | train | 1 |
8a2945974629483c959c2473f5a2fcee81de1895 | [
"lst = list(self.fields)\nif SETTINGS.get('admin_show_publisher'):\n lst.append('original_publisher')\nif SETTINGS.get('admin_show_saan') or SETTINGS.get('enforce_saan'):\n lst.append('saan')\nlst.append('publisher_fee')\nreturn lst",
"if obj.controlled and obj.writer:\n return obj.writer.get_publisher_d... | <|body_start_0|>
lst = list(self.fields)
if SETTINGS.get('admin_show_publisher'):
lst.append('original_publisher')
if SETTINGS.get('admin_show_saan') or SETTINGS.get('enforce_saan'):
lst.append('saan')
lst.append('publisher_fee')
return lst
<|end_body_0|>
... | Inline interface for :class:`.models.WriterInWork`. | WriterInWorkInline | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WriterInWorkInline:
"""Inline interface for :class:`.models.WriterInWork`."""
def get_fields(self, *args, **kwargs):
"""Return list of fields depending on settings."""
<|body_0|>
def original_publisher(self, obj):
"""Return the original publisher. This makes sens... | stack_v2_sparse_classes_36k_train_010720 | 33,789 | permissive | [
{
"docstring": "Return list of fields depending on settings.",
"name": "get_fields",
"signature": "def get_fields(self, *args, **kwargs)"
},
{
"docstring": "Return the original publisher. This makes sense only in the US context.",
"name": "original_publisher",
"signature": "def original_... | 2 | stack_v2_sparse_classes_30k_test_001093 | Implement the Python class `WriterInWorkInline` described below.
Class description:
Inline interface for :class:`.models.WriterInWork`.
Method signatures and docstrings:
- def get_fields(self, *args, **kwargs): Return list of fields depending on settings.
- def original_publisher(self, obj): Return the original publi... | Implement the Python class `WriterInWorkInline` described below.
Class description:
Inline interface for :class:`.models.WriterInWork`.
Method signatures and docstrings:
- def get_fields(self, *args, **kwargs): Return list of fields depending on settings.
- def original_publisher(self, obj): Return the original publi... | 298fe497670c02951d617aa6b6a6e03995fa6562 | <|skeleton|>
class WriterInWorkInline:
"""Inline interface for :class:`.models.WriterInWork`."""
def get_fields(self, *args, **kwargs):
"""Return list of fields depending on settings."""
<|body_0|>
def original_publisher(self, obj):
"""Return the original publisher. This makes sens... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WriterInWorkInline:
"""Inline interface for :class:`.models.WriterInWork`."""
def get_fields(self, *args, **kwargs):
"""Return list of fields depending on settings."""
lst = list(self.fields)
if SETTINGS.get('admin_show_publisher'):
lst.append('original_publisher')
... | the_stack_v2_python_sparse | music_publisher/admin.py | Huanghibo/django-music-publisher | train | 1 |
8af8dd684f38a5f1f5b9507f4f1d93b0c8c20210 | [
"self.logger = logging.getLogger('PynealLog')\nself.settings = settings\nmask_img = nib.load(settings['maskFile'])\nif settings['maskIsWeighted'] is True:\n self.weightMask = True\n self.weights = mask_img.get_fdata().copy()\n self.mask = mask_img.get_fdata() > 0\nelse:\n self.weightMask = False\n se... | <|body_start_0|>
self.logger = logging.getLogger('PynealLog')
self.settings = settings
mask_img = nib.load(settings['maskFile'])
if settings['maskIsWeighted'] is True:
self.weightMask = True
self.weights = mask_img.get_fdata().copy()
self.mask = mask_i... | Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in. | Analyzer | [
"MIT",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Analyzer:
"""Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in.... | stack_v2_sparse_classes_36k_train_010721 | 6,539 | permissive | [
{
"docstring": "Initialize the class Parameters ---------- settings : dict dictionary that contains all of the pyneal settings for the current session. This dictionary is loaded/configured by the GUI once Pyneal is first launched",
"name": "__init__",
"signature": "def __init__(self, settings)"
},
{... | 4 | stack_v2_sparse_classes_30k_train_008742 | Implement the Python class `Analyzer` described below.
Class description:
Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the s... | Implement the Python class `Analyzer` described below.
Class description:
Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the s... | 750f0ec5a231ccfa77aea960242de9b5019ba493 | <|skeleton|>
class Analyzer:
"""Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Analyzer:
"""Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in."""
def ... | the_stack_v2_python_sparse | src/pynealAnalysis.py | jeffmacinnes/pyneal | train | 36 |
ffbcf06dfb4ca6f267808f4235baf87d86dcaf11 | [
"E0 = a0 * m_e * c ** 2 * k0 / e\nzr = 0.5 * k0 * waist ** 2\nself.k0 = k0\nself.inv_waist2 = 1.0 / waist ** 2\nself.inv_zr = 1.0 / zr\nself.inv_tau = 1.0 / tau\nself.t_peak = t_peak\nself.E0 = E0\nself.v_antenna = source_v\nself.focal_length = focal_length\nself.boost = boost\nself.temporal_order = temporal_order\... | <|body_start_0|>
E0 = a0 * m_e * c ** 2 * k0 / e
zr = 0.5 * k0 * waist ** 2
self.k0 = k0
self.inv_waist2 = 1.0 / waist ** 2
self.inv_zr = 1.0 / zr
self.inv_tau = 1.0 / tau
self.t_peak = t_peak
self.E0 = E0
self.v_antenna = source_v
self.foc... | Class that calculates a Gaussian laser pulse. | GaussianProfile | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GaussianProfile:
"""Class that calculates a Gaussian laser pulse."""
def __init__(self, k0, waist, tau, t_peak, a0, dim, focal_length=0, temporal_order=2, boost=None, source_v=0, cep=0.0):
"""Define a Gaussian laser profile. (Gaussian transversally, hypergaussian longitudinally) This... | stack_v2_sparse_classes_36k_train_010722 | 34,589 | permissive | [
{
"docstring": "Define a Gaussian laser profile. (Gaussian transversally, hypergaussian longitudinally) This object can then be passed to the `EM3D` class, as the argument `laser_func`, in order to have a Gaussian laser emitted by the antenna. Parameters: ----------- k0: float (in meters^-1) Laser wavevector (i... | 2 | null | Implement the Python class `GaussianProfile` described below.
Class description:
Class that calculates a Gaussian laser pulse.
Method signatures and docstrings:
- def __init__(self, k0, waist, tau, t_peak, a0, dim, focal_length=0, temporal_order=2, boost=None, source_v=0, cep=0.0): Define a Gaussian laser profile. (G... | Implement the Python class `GaussianProfile` described below.
Class description:
Class that calculates a Gaussian laser pulse.
Method signatures and docstrings:
- def __init__(self, k0, waist, tau, t_peak, a0, dim, focal_length=0, temporal_order=2, boost=None, source_v=0, cep=0.0): Define a Gaussian laser profile. (G... | 091c982f82788209017315e13eb7d0e743687d46 | <|skeleton|>
class GaussianProfile:
"""Class that calculates a Gaussian laser pulse."""
def __init__(self, k0, waist, tau, t_peak, a0, dim, focal_length=0, temporal_order=2, boost=None, source_v=0, cep=0.0):
"""Define a Gaussian laser profile. (Gaussian transversally, hypergaussian longitudinally) This... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GaussianProfile:
"""Class that calculates a Gaussian laser pulse."""
def __init__(self, k0, waist, tau, t_peak, a0, dim, focal_length=0, temporal_order=2, boost=None, source_v=0, cep=0.0):
"""Define a Gaussian laser profile. (Gaussian transversally, hypergaussian longitudinally) This object can t... | the_stack_v2_python_sparse | scripts/field_solvers/laser/laser_profiles.py | giadarol/warp | train | 0 |
1b3538cb8b6ddc9180fb62f925ab213932bb6415 | [
"self.__rootFile = ROOT.TFile(rootPath)\nself.__rootTree = self.__rootFile.Get('Config')\nself.__rootTree.GetEntry(0)",
"leaf = self.__rootTree.GetLeaf(registerName)\nimport array\nregInfo = PRECINCT_INFO[precinctName][registerName]\nregData = array.array(ROOT_TYPECODE_2_ARRAY_TYPECODE[regInfo.typeCode], [0] * re... | <|body_start_0|>
self.__rootFile = ROOT.TFile(rootPath)
self.__rootTree = self.__rootFile.Get('Config')
self.__rootTree.GetEntry(0)
<|end_body_0|>
<|body_start_1|>
leaf = self.__rootTree.GetLeaf(registerName)
import array
regInfo = PRECINCT_INFO[precinctName][registerNam... | Provide LATC ROOT file data in form of python arrays | LATCRootFile | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LATCRootFile:
"""Provide LATC ROOT file data in form of python arrays"""
def __init__(self, rootPath):
"""open ROOT File args: rootPath - path to input LATC ROOT file"""
<|body_0|>
def getRegisterData(self, precinctName, registerName):
"""retrieve single dimensio... | stack_v2_sparse_classes_36k_train_010723 | 9,121 | permissive | [
{
"docstring": "open ROOT File args: rootPath - path to input LATC ROOT file",
"name": "__init__",
"signature": "def __init__(self, rootPath)"
},
{
"docstring": "retrieve single dimensional python array with data for specified register",
"name": "getRegisterData",
"signature": "def getRe... | 2 | stack_v2_sparse_classes_30k_train_021452 | Implement the Python class `LATCRootFile` described below.
Class description:
Provide LATC ROOT file data in form of python arrays
Method signatures and docstrings:
- def __init__(self, rootPath): open ROOT File args: rootPath - path to input LATC ROOT file
- def getRegisterData(self, precinctName, registerName): ret... | Implement the Python class `LATCRootFile` described below.
Class description:
Provide LATC ROOT file data in form of python arrays
Method signatures and docstrings:
- def __init__(self, rootPath): open ROOT File args: rootPath - path to input LATC ROOT file
- def getRegisterData(self, precinctName, registerName): ret... | 3b824540d8173a24be12316a3821304e4ea20a1f | <|skeleton|>
class LATCRootFile:
"""Provide LATC ROOT file data in form of python arrays"""
def __init__(self, rootPath):
"""open ROOT File args: rootPath - path to input LATC ROOT file"""
<|body_0|>
def getRegisterData(self, precinctName, registerName):
"""retrieve single dimensio... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LATCRootFile:
"""Provide LATC ROOT file data in form of python arrays"""
def __init__(self, rootPath):
"""open ROOT File args: rootPath - path to input LATC ROOT file"""
self.__rootFile = ROOT.TFile(rootPath)
self.__rootTree = self.__rootFile.Get('Config')
self.__rootTree.... | the_stack_v2_python_sparse | python/LATCRootData.py | fermi-lat/configData | train | 0 |
704f263fc429f8f9a3d384ab1dd83372127d741e | [
"l = []\nfor fieldname in _columns.getColumnIds():\n l.append(getattr(self, fieldname))\nreturn l",
"assert isinstance(_columns, Columns)\nl = []\nfor column in _columns:\n assert isinstance(column, Column)\n if column.isDataField():\n data_id = getattr(self, column.getId())\n if data_id is... | <|body_start_0|>
l = []
for fieldname in _columns.getColumnIds():
l.append(getattr(self, fieldname))
return l
<|end_body_0|>
<|body_start_1|>
assert isinstance(_columns, Columns)
l = []
for column in _columns:
assert isinstance(column, Column)
... | CsvMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CsvMixin:
def to_list_old(self, _columns):
"""called by JsonRpcDispatcher to create TSV or CSV record. This is named after to_dict() which is defined in ndb.Model."""
<|body_0|>
def to_list(self, _columns):
"""similar to to_list including dataId resolver."""
... | stack_v2_sparse_classes_36k_train_010724 | 1,681 | no_license | [
{
"docstring": "called by JsonRpcDispatcher to create TSV or CSV record. This is named after to_dict() which is defined in ndb.Model.",
"name": "to_list_old",
"signature": "def to_list_old(self, _columns)"
},
{
"docstring": "similar to to_list including dataId resolver.",
"name": "to_list",
... | 2 | stack_v2_sparse_classes_30k_train_006868 | Implement the Python class `CsvMixin` described below.
Class description:
Implement the CsvMixin class.
Method signatures and docstrings:
- def to_list_old(self, _columns): called by JsonRpcDispatcher to create TSV or CSV record. This is named after to_dict() which is defined in ndb.Model.
- def to_list(self, _column... | Implement the Python class `CsvMixin` described below.
Class description:
Implement the CsvMixin class.
Method signatures and docstrings:
- def to_list_old(self, _columns): called by JsonRpcDispatcher to create TSV or CSV record. This is named after to_dict() which is defined in ndb.Model.
- def to_list(self, _column... | 890d12095ac04b4fe6e60d7aacf6f46aa3865a81 | <|skeleton|>
class CsvMixin:
def to_list_old(self, _columns):
"""called by JsonRpcDispatcher to create TSV or CSV record. This is named after to_dict() which is defined in ndb.Model."""
<|body_0|>
def to_list(self, _columns):
"""similar to to_list including dataId resolver."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CsvMixin:
def to_list_old(self, _columns):
"""called by JsonRpcDispatcher to create TSV or CSV record. This is named after to_dict() which is defined in ndb.Model."""
l = []
for fieldname in _columns.getColumnIds():
l.append(getattr(self, fieldname))
return l
d... | the_stack_v2_python_sparse | odenkiapi/model/CsvMixin.py | TakashiSasaki/odenkiapi | train | 0 | |
937cd2831a22aef87c13f176e99ea3628e87ff03 | [
"if len(nums) < 1:\n return []\nnum_set = set()\nresult = []\nfor num in nums:\n num_set.add(num)\nfor i in range(1, len(nums) + 1):\n if i not in num_set:\n result.append(i)\nreturn result",
"if len(nums) < 1:\n return []\nres = []\nn = len(nums)\nfor num in nums:\n idx = abs(num) - 1\n ... | <|body_start_0|>
if len(nums) < 1:
return []
num_set = set()
result = []
for num in nums:
num_set.add(num)
for i in range(1, len(nums) + 1):
if i not in num_set:
result.append(i)
return result
<|end_body_0|>
<|body_star... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def find_disappeared_numbers(self, nums: List[int]) -> int:
"""找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字"""
<|body_0|>
def find_disappeared_numbers2(self, nums: List[int]) -> int:
"""找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字"""
<|body_1|>
<|end... | stack_v2_sparse_classes_36k_train_010725 | 2,512 | permissive | [
{
"docstring": "找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字",
"name": "find_disappeared_numbers",
"signature": "def find_disappeared_numbers(self, nums: List[int]) -> int"
},
{
"docstring": "找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字",
"name": "find_disappeared_numbers2",
"signature": "... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_disappeared_numbers(self, nums: List[int]) -> int: 找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字
- def find_disappeared_numbers2(self, nums: List[int]) -> int: 找出没有出现过的数字 ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_disappeared_numbers(self, nums: List[int]) -> int: 找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字
- def find_disappeared_numbers2(self, nums: List[int]) -> int: 找出没有出现过的数字 ... | 50f35eef6a0ad63173efed10df3c835b1dceaa3f | <|skeleton|>
class Solution:
def find_disappeared_numbers(self, nums: List[int]) -> int:
"""找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字"""
<|body_0|>
def find_disappeared_numbers2(self, nums: List[int]) -> int:
"""找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字"""
<|body_1|>
<|end... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def find_disappeared_numbers(self, nums: List[int]) -> int:
"""找出没有出现过的数字 Args: nums: 数组 Returns: 没有出现过的数字"""
if len(nums) < 1:
return []
num_set = set()
result = []
for num in nums:
num_set.add(num)
for i in range(1, len(nums) ... | the_stack_v2_python_sparse | src/leetcodepython/array/find_all_numbers_disappeared_array _448.py | zhangyu345293721/leetcode | train | 101 | |
6a1c209edf4081a080840ac24f1a7fe2c87dedc3 | [
"if isinstance(message, dict):\n if message.get('title', None) is None or message.get('time', None) is None or message.get('body', None) is None:\n return False\n return True\nelse:\n return False",
"super(EmailNotify, self).notify(message)\ntry:\n if not self.valid_message(message):\n r... | <|body_start_0|>
if isinstance(message, dict):
if message.get('title', None) is None or message.get('time', None) is None or message.get('body', None) is None:
return False
return True
else:
return False
<|end_body_0|>
<|body_start_1|>
super(E... | Email Notify Class. | EmailNotify | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailNotify:
"""Email Notify Class."""
def valid_message(self, message):
"""Check whether message is available. :param message: :return:"""
<|body_0|>
def notify(self, message):
""":param message: dict, must includes title, time and body; supplement is optional :... | stack_v2_sparse_classes_36k_train_010726 | 5,030 | permissive | [
{
"docstring": "Check whether message is available. :param message: :return:",
"name": "valid_message",
"signature": "def valid_message(self, message)"
},
{
"docstring": ":param message: dict, must includes title, time and body; supplement is optional :return:",
"name": "notify",
"signat... | 2 | null | Implement the Python class `EmailNotify` described below.
Class description:
Email Notify Class.
Method signatures and docstrings:
- def valid_message(self, message): Check whether message is available. :param message: :return:
- def notify(self, message): :param message: dict, must includes title, time and body; sup... | Implement the Python class `EmailNotify` described below.
Class description:
Email Notify Class.
Method signatures and docstrings:
- def valid_message(self, message): Check whether message is available. :param message: :return:
- def notify(self, message): :param message: dict, must includes title, time and body; sup... | 8b97efdc9287645ea6b99dcf3a99fbe3f6ba6862 | <|skeleton|>
class EmailNotify:
"""Email Notify Class."""
def valid_message(self, message):
"""Check whether message is available. :param message: :return:"""
<|body_0|>
def notify(self, message):
""":param message: dict, must includes title, time and body; supplement is optional :... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmailNotify:
"""Email Notify Class."""
def valid_message(self, message):
"""Check whether message is available. :param message: :return:"""
if isinstance(message, dict):
if message.get('title', None) is None or message.get('time', None) is None or message.get('body', None) is ... | the_stack_v2_python_sparse | infrastructure/messenger/couriers.py | creditease-natrix/natrix | train | 4 |
00f77d47348729011cdb5d9c27b7dfac6965db2b | [
"for field, type_info in fields_spec.items():\n has_default = not isinstance(type_info, type)\n if field not in config and (not has_default):\n raise RuntimeError('Configuration not complete. %s missing' % field)",
"defaults = dict([(f, d) for f, d in fields_spec.items() if not isinstance(d, type)])\... | <|body_start_0|>
for field, type_info in fields_spec.items():
has_default = not isinstance(type_info, type)
if field not in config and (not has_default):
raise RuntimeError('Configuration not complete. %s missing' % field)
<|end_body_0|>
<|body_start_1|>
defaults... | A collection of methods/functions working on catalogues. The registry also holds information about the type of the input arguments | CatalogueFunctionRegistry | [
"AGPL-3.0-only",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CatalogueFunctionRegistry:
"""A collection of methods/functions working on catalogues. The registry also holds information about the type of the input arguments"""
def check_config(self, config, fields_spec):
"""Check that `config` has each field in `fields_spec` if a default has not... | stack_v2_sparse_classes_36k_train_010727 | 5,960 | permissive | [
{
"docstring": "Check that `config` has each field in `fields_spec` if a default has not been provided.",
"name": "check_config",
"signature": "def check_config(self, config, fields_spec)"
},
{
"docstring": "Set default values got from `fields_spec` into the `config` dictionary",
"name": "se... | 4 | null | Implement the Python class `CatalogueFunctionRegistry` described below.
Class description:
A collection of methods/functions working on catalogues. The registry also holds information about the type of the input arguments
Method signatures and docstrings:
- def check_config(self, config, fields_spec): Check that `con... | Implement the Python class `CatalogueFunctionRegistry` described below.
Class description:
A collection of methods/functions working on catalogues. The registry also holds information about the type of the input arguments
Method signatures and docstrings:
- def check_config(self, config, fields_spec): Check that `con... | 0da9ba5a575360081715e8b90c71d4b16c6687c8 | <|skeleton|>
class CatalogueFunctionRegistry:
"""A collection of methods/functions working on catalogues. The registry also holds information about the type of the input arguments"""
def check_config(self, config, fields_spec):
"""Check that `config` has each field in `fields_spec` if a default has not... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CatalogueFunctionRegistry:
"""A collection of methods/functions working on catalogues. The registry also holds information about the type of the input arguments"""
def check_config(self, config, fields_spec):
"""Check that `config` has each field in `fields_spec` if a default has not been provide... | the_stack_v2_python_sparse | openquake/hmtk/registry.py | GFZ-Centre-for-Early-Warning/shakyground | train | 1 |
115a90083d76ae4dc4d1315cec8bd6158a105fe0 | [
"with ops.Graph().as_default():\n z1 = array_ops.identity(1)\n pivot = control_flow_ops.no_op()\n context = tpu_replication.TPUReplicateContext(b'context', 1, pivot=pivot)\n context.Enter()\n z2 = array_ops.identity(1)\n context.Exit()\n self.assertFalse(control_flow_util.IsInXLAContext(z1.op))... | <|body_start_0|>
with ops.Graph().as_default():
z1 = array_ops.identity(1)
pivot = control_flow_ops.no_op()
context = tpu_replication.TPUReplicateContext(b'context', 1, pivot=pivot)
context.Enter()
z2 = array_ops.identity(1)
context.Exit()
... | TPUContextTest | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TPUContextTest:
def testIsInContext(self):
"""Test that control_flow_util can check that we're in a TPU context."""
<|body_0|>
def testHandlesNameCollision(self):
"""Test AddValue handles name collisions for ops from different graphs."""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_36k_train_010728 | 8,993 | permissive | [
{
"docstring": "Test that control_flow_util can check that we're in a TPU context.",
"name": "testIsInContext",
"signature": "def testIsInContext(self)"
},
{
"docstring": "Test AddValue handles name collisions for ops from different graphs.",
"name": "testHandlesNameCollision",
"signatur... | 2 | null | Implement the Python class `TPUContextTest` described below.
Class description:
Implement the TPUContextTest class.
Method signatures and docstrings:
- def testIsInContext(self): Test that control_flow_util can check that we're in a TPU context.
- def testHandlesNameCollision(self): Test AddValue handles name collisi... | Implement the Python class `TPUContextTest` described below.
Class description:
Implement the TPUContextTest class.
Method signatures and docstrings:
- def testIsInContext(self): Test that control_flow_util can check that we're in a TPU context.
- def testHandlesNameCollision(self): Test AddValue handles name collisi... | a7f3934a67900720af3d3b15389551483bee50b8 | <|skeleton|>
class TPUContextTest:
def testIsInContext(self):
"""Test that control_flow_util can check that we're in a TPU context."""
<|body_0|>
def testHandlesNameCollision(self):
"""Test AddValue handles name collisions for ops from different graphs."""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TPUContextTest:
def testIsInContext(self):
"""Test that control_flow_util can check that we're in a TPU context."""
with ops.Graph().as_default():
z1 = array_ops.identity(1)
pivot = control_flow_ops.no_op()
context = tpu_replication.TPUReplicateContext(b'con... | the_stack_v2_python_sparse | tensorflow/python/tpu/tpu_test.py | tensorflow/tensorflow | train | 208,740 | |
0960020f36e83c50446ef6ea1006b6c5531c6f8d | [
"a, b = (ROOT.Comparable(), ROOT.Comparable())\nself.assertEqual(a, b)\nself.assertEqual(b, a)\nself.assertTrue(a.__eq__(b))\nself.assertTrue(b.__eq__(a))\nself.assertTrue(a.__ne__(a))\nself.assertTrue(b.__ne__(b))\nself.assertEqual(a.__eq__(b), True)\nself.assertEqual(b.__eq__(a), True)\nself.assertEqual(a.__eq__(... | <|body_start_0|>
a, b = (ROOT.Comparable(), ROOT.Comparable())
self.assertEqual(a, b)
self.assertEqual(b, a)
self.assertTrue(a.__eq__(b))
self.assertTrue(b.__eq__(a))
self.assertTrue(a.__ne__(a))
self.assertTrue(b.__ne__(b))
self.assertEqual(a.__eq__(b), T... | Cpp07GloballyOverloadedComparator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cpp07GloballyOverloadedComparator:
def test1Comparator(self):
"""Check that the global operator!=/== is picked up"""
<|body_0|>
def test2Comparator(self):
"""Check that the namespaced global operator!=/== is picked up"""
<|body_1|>
def test3DirectUseComp... | stack_v2_sparse_classes_36k_train_010729 | 30,462 | no_license | [
{
"docstring": "Check that the global operator!=/== is picked up",
"name": "test1Comparator",
"signature": "def test1Comparator(self)"
},
{
"docstring": "Check that the namespaced global operator!=/== is picked up",
"name": "test2Comparator",
"signature": "def test2Comparator(self)"
},... | 3 | stack_v2_sparse_classes_30k_train_013479 | Implement the Python class `Cpp07GloballyOverloadedComparator` described below.
Class description:
Implement the Cpp07GloballyOverloadedComparator class.
Method signatures and docstrings:
- def test1Comparator(self): Check that the global operator!=/== is picked up
- def test2Comparator(self): Check that the namespac... | Implement the Python class `Cpp07GloballyOverloadedComparator` described below.
Class description:
Implement the Cpp07GloballyOverloadedComparator class.
Method signatures and docstrings:
- def test1Comparator(self): Check that the global operator!=/== is picked up
- def test2Comparator(self): Check that the namespac... | 134508460915282a5d82d6cbbb6e6afa14653413 | <|skeleton|>
class Cpp07GloballyOverloadedComparator:
def test1Comparator(self):
"""Check that the global operator!=/== is picked up"""
<|body_0|>
def test2Comparator(self):
"""Check that the namespaced global operator!=/== is picked up"""
<|body_1|>
def test3DirectUseComp... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Cpp07GloballyOverloadedComparator:
def test1Comparator(self):
"""Check that the global operator!=/== is picked up"""
a, b = (ROOT.Comparable(), ROOT.Comparable())
self.assertEqual(a, b)
self.assertEqual(b, a)
self.assertTrue(a.__eq__(b))
self.assertTrue(b.__eq__... | the_stack_v2_python_sparse | python/cpp/PyROOT_advancedtests.py | root-project/roottest | train | 41 | |
74a2af8d8b59b0cb3142fee192a8e4e5ac293e7f | [
"super(Jade, self).setup()\nself.argv.append(self.jade or 'jade')\nself.argv.append('--client')\nif self.jade_no_debug:\n self.argv.append('--no-debug')\nif not self.js_var:\n self.js_var = 'templates'",
"proc = subprocess.Popen(self.argv, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIP... | <|body_start_0|>
super(Jade, self).setup()
self.argv.append(self.jade or 'jade')
self.argv.append('--client')
if self.jade_no_debug:
self.argv.append('--no-debug')
if not self.js_var:
self.js_var = 'templates'
<|end_body_0|>
<|body_start_1|>
proc ... | Converts `Jade <http://jade-lang.com/>`_ templates to client-side JavaScript functions. Requires the Jade executable to be available externally. You can install it using the `Node Package Manager <http://npmjs.org/>`_:: $ npm install jade Jade templates are compiled and stored in a window-level JavaScript object under ... | Jade | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Jade:
"""Converts `Jade <http://jade-lang.com/>`_ templates to client-side JavaScript functions. Requires the Jade executable to be available externally. You can install it using the `Node Package Manager <http://npmjs.org/>`_:: $ npm install jade Jade templates are compiled and stored in a windo... | stack_v2_sparse_classes_36k_train_010730 | 4,016 | permissive | [
{
"docstring": "Check options and apply defaults if necessary",
"name": "setup",
"signature": "def setup(self)"
},
{
"docstring": "Compile individual Jade templates",
"name": "input",
"signature": "def input(self, _in, out, **kwargs)"
},
{
"docstring": "Prepend Jade runtime and i... | 3 | null | Implement the Python class `Jade` described below.
Class description:
Converts `Jade <http://jade-lang.com/>`_ templates to client-side JavaScript functions. Requires the Jade executable to be available externally. You can install it using the `Node Package Manager <http://npmjs.org/>`_:: $ npm install jade Jade templ... | Implement the Python class `Jade` described below.
Class description:
Converts `Jade <http://jade-lang.com/>`_ templates to client-side JavaScript functions. Requires the Jade executable to be available externally. You can install it using the `Node Package Manager <http://npmjs.org/>`_:: $ npm install jade Jade templ... | 65b7a50b22fcb9dadc7e91a98225f6ca2b33f3b8 | <|skeleton|>
class Jade:
"""Converts `Jade <http://jade-lang.com/>`_ templates to client-side JavaScript functions. Requires the Jade executable to be available externally. You can install it using the `Node Package Manager <http://npmjs.org/>`_:: $ npm install jade Jade templates are compiled and stored in a windo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Jade:
"""Converts `Jade <http://jade-lang.com/>`_ templates to client-side JavaScript functions. Requires the Jade executable to be available externally. You can install it using the `Node Package Manager <http://npmjs.org/>`_:: $ npm install jade Jade templates are compiled and stored in a window-level JavaS... | the_stack_v2_python_sparse | weppy_assets/webassets/filter/jade.py | gi0baro/weppy-assets | train | 2 |
397e735b5a62ed49e22c9d50970bc0f817a9cac2 | [
"self.argmax_ndvi = argmax_ndvi\nself.argmin_ndvi = argmin_ndvi\nself.argmax_red = argmax_red\nself.argmax_ndvi_slope = argmax_ndvi_slope\nself.argmin_ndvi_slope = argmin_ndvi_slope\nself.feats_feature = feats_feature\nself.data_feature = data_feature\nif indices is None:\n indices = [2, 3, 7, 11]\nself.indices ... | <|body_start_0|>
self.argmax_ndvi = argmax_ndvi
self.argmin_ndvi = argmin_ndvi
self.argmax_red = argmax_red
self.argmax_ndvi_slope = argmax_ndvi_slope
self.argmin_ndvi_slope = argmin_ndvi_slope
self.feats_feature = feats_feature
self.data_feature = data_feature
... | Task that implements and adds to eopatch the spatio-temporal features proposed in [1]. This task assumes that the argmax/argmin of NDVI, NDVI slope and B4 are present in eopatch. The computed spatio-temporal features correspond to the concatenation of reflectance (green, red, near-infrared and short-wave infrared in [1... | AddSpatioTemporalFeaturesTask | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddSpatioTemporalFeaturesTask:
"""Task that implements and adds to eopatch the spatio-temporal features proposed in [1]. This task assumes that the argmax/argmin of NDVI, NDVI slope and B4 are present in eopatch. The computed spatio-temporal features correspond to the concatenation of reflectance... | stack_v2_sparse_classes_36k_train_010731 | 10,624 | permissive | [
{
"docstring": "Class constructor Initialisation of task variables. The name of the dictionary keys that will be used for the computation of the features needs to be specified. These features are assumed to be existing in the eopatch. The indices of the reflectances to be used as features is an input parameter.... | 2 | stack_v2_sparse_classes_30k_train_003039 | Implement the Python class `AddSpatioTemporalFeaturesTask` described below.
Class description:
Task that implements and adds to eopatch the spatio-temporal features proposed in [1]. This task assumes that the argmax/argmin of NDVI, NDVI slope and B4 are present in eopatch. The computed spatio-temporal features corresp... | Implement the Python class `AddSpatioTemporalFeaturesTask` described below.
Class description:
Task that implements and adds to eopatch the spatio-temporal features proposed in [1]. This task assumes that the argmax/argmin of NDVI, NDVI slope and B4 are present in eopatch. The computed spatio-temporal features corresp... | a65899e4632b50c9c41a67e1f7698c09b929d840 | <|skeleton|>
class AddSpatioTemporalFeaturesTask:
"""Task that implements and adds to eopatch the spatio-temporal features proposed in [1]. This task assumes that the argmax/argmin of NDVI, NDVI slope and B4 are present in eopatch. The computed spatio-temporal features correspond to the concatenation of reflectance... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddSpatioTemporalFeaturesTask:
"""Task that implements and adds to eopatch the spatio-temporal features proposed in [1]. This task assumes that the argmax/argmin of NDVI, NDVI slope and B4 are present in eopatch. The computed spatio-temporal features correspond to the concatenation of reflectance (green, red,... | the_stack_v2_python_sparse | features/eolearn/features/temporal_features.py | sentinel-hub/eo-learn | train | 1,072 |
3248b044a38f8f177a84c24d2eda205f09e9c038 | [
"cur_time = datetime.fromtimestamp(1036)\ntimestamp_array = []\nresponse = common.check_date(cur_time, timestamp_array)\nassert response is False",
"cur_time = datetime.fromtimestamp(1036)\ntimestamp_array = []\nresponse = common.check_run_status(timestamp_array, cur_time, 1, None, 'hourly', None)\nassert respons... | <|body_start_0|>
cur_time = datetime.fromtimestamp(1036)
timestamp_array = []
response = common.check_date(cur_time, timestamp_array)
assert response is False
<|end_body_0|>
<|body_start_1|>
cur_time = datetime.fromtimestamp(1036)
timestamp_array = []
response = ... | Contains all the tests for common Diagnostic | TestDiagnosticsCommon | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestDiagnosticsCommon:
"""Contains all the tests for common Diagnostic"""
def test_common_check_date(self):
"""test the common check date"""
<|body_0|>
def test_common_check_run_status(self):
"""test the common check run status"""
<|body_1|>
def test... | stack_v2_sparse_classes_36k_train_010732 | 14,928 | permissive | [
{
"docstring": "test the common check date",
"name": "test_common_check_date",
"signature": "def test_common_check_date(self)"
},
{
"docstring": "test the common check run status",
"name": "test_common_check_run_status",
"signature": "def test_common_check_run_status(self)"
},
{
... | 4 | null | Implement the Python class `TestDiagnosticsCommon` described below.
Class description:
Contains all the tests for common Diagnostic
Method signatures and docstrings:
- def test_common_check_date(self): test the common check date
- def test_common_check_run_status(self): test the common check run status
- def test_com... | Implement the Python class `TestDiagnosticsCommon` described below.
Class description:
Contains all the tests for common Diagnostic
Method signatures and docstrings:
- def test_common_check_date(self): test the common check date
- def test_common_check_run_status(self): test the common check run status
- def test_com... | 24d50729aef8d91036cc13b0f5c03be76f3237ed | <|skeleton|>
class TestDiagnosticsCommon:
"""Contains all the tests for common Diagnostic"""
def test_common_check_date(self):
"""test the common check date"""
<|body_0|>
def test_common_check_run_status(self):
"""test the common check run status"""
<|body_1|>
def test... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestDiagnosticsCommon:
"""Contains all the tests for common Diagnostic"""
def test_common_check_date(self):
"""test the common check date"""
cur_time = datetime.fromtimestamp(1036)
timestamp_array = []
response = common.check_date(cur_time, timestamp_array)
assert ... | the_stack_v2_python_sparse | EnergyEfficiency/AirsideRCxAgent/airside/test.py | shwethanidd/volttron-pnnl-applications-2 | train | 0 |
a05ad29d5592a1517c358384b5559256a8cf13b0 | [
"self.existing_robots.append(self)\nself.name = None\nself.reset()",
"letters = ''.join(random.sample(string.uppercase, self.LETTERS))\nnumbers = random.randint(0, 10 ** self.DIGITS - 1)\nreturn letters + '{0:0{1}}'.format(numbers, self.DIGITS)",
"while True:\n name = self.generate_name()\n if name not in... | <|body_start_0|>
self.existing_robots.append(self)
self.name = None
self.reset()
<|end_body_0|>
<|body_start_1|>
letters = ''.join(random.sample(string.uppercase, self.LETTERS))
numbers = random.randint(0, 10 ** self.DIGITS - 1)
return letters + '{0:0{1}}'.format(numbers... | A robot with a unique random name. | Robot | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Robot:
"""A robot with a unique random name."""
def __init__(self):
"""Create (and boot up) a new robot with a random name."""
<|body_0|>
def generate_name(self):
"""Generate a new random robot name."""
<|body_1|>
def reset(self):
"""Reset ro... | stack_v2_sparse_classes_36k_train_010733 | 858 | no_license | [
{
"docstring": "Create (and boot up) a new robot with a random name.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Generate a new random robot name.",
"name": "generate_name",
"signature": "def generate_name(self)"
},
{
"docstring": "Reset robot's nam... | 3 | stack_v2_sparse_classes_30k_train_016750 | Implement the Python class `Robot` described below.
Class description:
A robot with a unique random name.
Method signatures and docstrings:
- def __init__(self): Create (and boot up) a new robot with a random name.
- def generate_name(self): Generate a new random robot name.
- def reset(self): Reset robot's name. | Implement the Python class `Robot` described below.
Class description:
A robot with a unique random name.
Method signatures and docstrings:
- def __init__(self): Create (and boot up) a new robot with a random name.
- def generate_name(self): Generate a new random robot name.
- def reset(self): Reset robot's name.
<|... | be0e2f635a7558f56c61bc0b36c6146b01d1e6e6 | <|skeleton|>
class Robot:
"""A robot with a unique random name."""
def __init__(self):
"""Create (and boot up) a new robot with a random name."""
<|body_0|>
def generate_name(self):
"""Generate a new random robot name."""
<|body_1|>
def reset(self):
"""Reset ro... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Robot:
"""A robot with a unique random name."""
def __init__(self):
"""Create (and boot up) a new robot with a random name."""
self.existing_robots.append(self)
self.name = None
self.reset()
def generate_name(self):
"""Generate a new random robot name."""
... | the_stack_v2_python_sparse | all_data/exercism_data/python/robot-name/480850c388f94bfab36a461b16d658f3.py | itsolutionscorp/AutoStyle-Clustering | train | 4 |
58c365a77cb3a8fbf63ed0bf940313624d084707 | [
"super(Domain, self).__init__(xh)\nself.dg = 0.5 * self.dxh\nreturn",
"self.p = order\nq = polys.Legendre()\nself.zp = q.zeros[order]\nself.wp = q.weights[order]\nb = polys.Lagrange()\nb.interpolate(self.zp, np.ones(self.p))\nself.Lm1 = np.zeros(self.nh * self.p)\nself.Lp1 = np.zeros(self.nh * self.p)\nself.xp = ... | <|body_start_0|>
super(Domain, self).__init__(xh)
self.dg = 0.5 * self.dxh
return
<|end_body_0|>
<|body_start_1|>
self.p = order
q = polys.Legendre()
self.zp = q.zeros[order]
self.wp = q.weights[order]
b = polys.Lagrange()
b.interpolate(self.zp, n... | Domain for a discontinuous galerkin field has attributes for cell vertex and nodal points, quadrature points and weights, cell boundary extrapolation vectors and cell jacobians, and mass matrix | Domain | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Domain:
"""Domain for a discontinuous galerkin field has attributes for cell vertex and nodal points, quadrature points and weights, cell boundary extrapolation vectors and cell jacobians, and mass matrix"""
def __init__(self, xh):
"""initialise Domain with cell vertices and sizes"""... | stack_v2_sparse_classes_36k_train_010734 | 4,877 | no_license | [
{
"docstring": "initialise Domain with cell vertices and sizes",
"name": "__init__",
"signature": "def __init__(self, xh)"
},
{
"docstring": "set the expansion basis type and order, and the quadrature point type calculate the physical nodal points, cell jacobians and cell boundary extrapolation ... | 2 | stack_v2_sparse_classes_30k_train_008126 | Implement the Python class `Domain` described below.
Class description:
Domain for a discontinuous galerkin field has attributes for cell vertex and nodal points, quadrature points and weights, cell boundary extrapolation vectors and cell jacobians, and mass matrix
Method signatures and docstrings:
- def __init__(sel... | Implement the Python class `Domain` described below.
Class description:
Domain for a discontinuous galerkin field has attributes for cell vertex and nodal points, quadrature points and weights, cell boundary extrapolation vectors and cell jacobians, and mass matrix
Method signatures and docstrings:
- def __init__(sel... | 35ccd15fce4df144446b84319cf467562a69a44b | <|skeleton|>
class Domain:
"""Domain for a discontinuous galerkin field has attributes for cell vertex and nodal points, quadrature points and weights, cell boundary extrapolation vectors and cell jacobians, and mass matrix"""
def __init__(self, xh):
"""initialise Domain with cell vertices and sizes"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Domain:
"""Domain for a discontinuous galerkin field has attributes for cell vertex and nodal points, quadrature points and weights, cell boundary extrapolation vectors and cell jacobians, and mass matrix"""
def __init__(self, xh):
"""initialise Domain with cell vertices and sizes"""
supe... | the_stack_v2_python_sparse | dg/fields.py | JHopeCollins/Sandbox | train | 0 |
6f413b9fbf7b5a3ca34a221788db176c5dac95b6 | [
"yamllint_configs = {'extends': 'default', 'rules': {'document-start': {'present': False}}}\nif document_start:\n yamllint_configs['rules']['document-start']['present'] = True\nreturn yaml.dump(yamllint_configs)",
"args = ('-f', 'parsable', filename)\nif yamllint_config:\n args += ('--config-file=' + yamlli... | <|body_start_0|>
yamllint_configs = {'extends': 'default', 'rules': {'document-start': {'present': False}}}
if document_start:
yamllint_configs['rules']['document-start']['present'] = True
return yaml.dump(yamllint_configs)
<|end_body_0|>
<|body_start_1|>
args = ('-f', 'pars... | Check yaml code for errors and possible problems. You can read more about capabilities at <http://yamllint.readthedocs.org/en/latest/rules.html>. | YAMLLintBear | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class YAMLLintBear:
"""Check yaml code for errors and possible problems. You can read more about capabilities at <http://yamllint.readthedocs.org/en/latest/rules.html>."""
def generate_config(filename, file, document_start: bool=False):
""":param document_start: Use this rule to require or... | stack_v2_sparse_classes_36k_train_010735 | 1,798 | no_license | [
{
"docstring": ":param document_start: Use this rule to require or forbid the use of document start marker (---).",
"name": "generate_config",
"signature": "def generate_config(filename, file, document_start: bool=False)"
},
{
"docstring": ":param yamllint_config: Path to a custom configuration ... | 2 | null | Implement the Python class `YAMLLintBear` described below.
Class description:
Check yaml code for errors and possible problems. You can read more about capabilities at <http://yamllint.readthedocs.org/en/latest/rules.html>.
Method signatures and docstrings:
- def generate_config(filename, file, document_start: bool=F... | Implement the Python class `YAMLLintBear` described below.
Class description:
Check yaml code for errors and possible problems. You can read more about capabilities at <http://yamllint.readthedocs.org/en/latest/rules.html>.
Method signatures and docstrings:
- def generate_config(filename, file, document_start: bool=F... | 278e4f6f8ce4677e213150716704330d83debf9f | <|skeleton|>
class YAMLLintBear:
"""Check yaml code for errors and possible problems. You can read more about capabilities at <http://yamllint.readthedocs.org/en/latest/rules.html>."""
def generate_config(filename, file, document_start: bool=False):
""":param document_start: Use this rule to require or... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class YAMLLintBear:
"""Check yaml code for errors and possible problems. You can read more about capabilities at <http://yamllint.readthedocs.org/en/latest/rules.html>."""
def generate_config(filename, file, document_start: bool=False):
""":param document_start: Use this rule to require or forbid the u... | the_stack_v2_python_sparse | ve/Lib/site-packages/bears/yml/YAMLLintBear.py | lugnitdgp/avskr2.0 | train | 4 |
52b4cf039b39431b1e8b169f4e5a4f969a1eee95 | [
"self.ptr = c_void_p()\nself.obj = byref(self.ptr)\nself.indices = numpy.empty(len(dims), numpy.uintp)\nMINTLIB.mnt_multiarrayiter_new.argtypes = [POINTER(c_void_p), c_int, SIZE_T_ARRAY_PTR]\nier = MINTLIB.mnt_multiarrayiter_new(self.obj, len(dims), numpy.array(dims, numpy.uint64))\nif ier:\n error_handler(FILE,... | <|body_start_0|>
self.ptr = c_void_p()
self.obj = byref(self.ptr)
self.indices = numpy.empty(len(dims), numpy.uintp)
MINTLIB.mnt_multiarrayiter_new.argtypes = [POINTER(c_void_p), c_int, SIZE_T_ARRAY_PTR]
ier = MINTLIB.mnt_multiarrayiter_new(self.obj, len(dims), numpy.array(dims, ... | A class to iterate data across time, elevation and other non-spatial dimensions | MultiArrayIter | [
"0BSD"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiArrayIter:
"""A class to iterate data across time, elevation and other non-spatial dimensions"""
def __init__(self, dims):
"""Constructor. :param dims array of data dimensions"""
<|body_0|>
def __del__(self):
"""Destructor."""
<|body_1|>
def beg... | stack_v2_sparse_classes_36k_train_010736 | 2,666 | permissive | [
{
"docstring": "Constructor. :param dims array of data dimensions",
"name": "__init__",
"signature": "def __init__(self, dims)"
},
{
"docstring": "Destructor.",
"name": "__del__",
"signature": "def __del__(self)"
},
{
"docstring": "Set the iterator to the beginning.",
"name":... | 6 | null | Implement the Python class `MultiArrayIter` described below.
Class description:
A class to iterate data across time, elevation and other non-spatial dimensions
Method signatures and docstrings:
- def __init__(self, dims): Constructor. :param dims array of data dimensions
- def __del__(self): Destructor.
- def begin(s... | Implement the Python class `MultiArrayIter` described below.
Class description:
A class to iterate data across time, elevation and other non-spatial dimensions
Method signatures and docstrings:
- def __init__(self, dims): Constructor. :param dims array of data dimensions
- def __del__(self): Destructor.
- def begin(s... | 50c2c66bce5e09cf14f9f244da67ab4be84fbe5b | <|skeleton|>
class MultiArrayIter:
"""A class to iterate data across time, elevation and other non-spatial dimensions"""
def __init__(self, dims):
"""Constructor. :param dims array of data dimensions"""
<|body_0|>
def __del__(self):
"""Destructor."""
<|body_1|>
def beg... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiArrayIter:
"""A class to iterate data across time, elevation and other non-spatial dimensions"""
def __init__(self, dims):
"""Constructor. :param dims array of data dimensions"""
self.ptr = c_void_p()
self.obj = byref(self.ptr)
self.indices = numpy.empty(len(dims), nu... | the_stack_v2_python_sparse | mint/multi_array_iter.py | pletzer/mint | train | 6 |
7de688acc3b1a209bd8712d8788c7e41aa9f1578 | [
"num1_copy = nums1[:]\np1, p2 = (0, 0)\nfor i in range(len(num1_copy)):\n if p1 == m:\n nums1[i] = nums2[p2]\n p2 += 1\n elif p2 == n:\n nums1[i] = num1_copy[p1]\n p1 += 1\n elif num1_copy[p1] <= nums2[p2]:\n nums1[i] = num1_copy[p1]\n p1 += 1\n else:\n n... | <|body_start_0|>
num1_copy = nums1[:]
p1, p2 = (0, 0)
for i in range(len(num1_copy)):
if p1 == m:
nums1[i] = nums2[p2]
p2 += 1
elif p2 == n:
nums1[i] = num1_copy[p1]
p1 += 1
elif num1_copy[p1] <= ... | Idea Detailed Implementation: Create a copy of nums1, and use it to compare with nums2. The intuition is similar to two pointer sliding over two array. Since, we know the elements in both array were sorted, so it's ok two use two pointer strategy. If the value in nums1_copy is greater than nums2, and copy it to nums1(b... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Idea Detailed Implementation: Create a copy of nums1, and use it to compare with nums2. The intuition is similar to two pointer sliding over two array. Since, we know the elements in both array were sorted, so it's ok two use two pointer strategy. If the value in nums1_copy is greate... | stack_v2_sparse_classes_36k_train_010737 | 5,244 | no_license | [
{
"docstring": "Do not return anything, modify nums1 in-place instead.",
"name": "merge2",
"signature": "def merge2(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None"
},
{
"docstring": "Do not return anything, modify nums1 in-place instead.",
"name": "merge3",
"signature"... | 3 | stack_v2_sparse_classes_30k_train_002907 | Implement the Python class `Solution` described below.
Class description:
Idea Detailed Implementation: Create a copy of nums1, and use it to compare with nums2. The intuition is similar to two pointer sliding over two array. Since, we know the elements in both array were sorted, so it's ok two use two pointer strateg... | Implement the Python class `Solution` described below.
Class description:
Idea Detailed Implementation: Create a copy of nums1, and use it to compare with nums2. The intuition is similar to two pointer sliding over two array. Since, we know the elements in both array were sorted, so it's ok two use two pointer strateg... | 9d9b3eff8251effcd3d6d9d1fbc9de6341f9f426 | <|skeleton|>
class Solution:
"""Idea Detailed Implementation: Create a copy of nums1, and use it to compare with nums2. The intuition is similar to two pointer sliding over two array. Since, we know the elements in both array were sorted, so it's ok two use two pointer strategy. If the value in nums1_copy is greate... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""Idea Detailed Implementation: Create a copy of nums1, and use it to compare with nums2. The intuition is similar to two pointer sliding over two array. Since, we know the elements in both array were sorted, so it's ok two use two pointer strategy. If the value in nums1_copy is greater than nums2,... | the_stack_v2_python_sparse | 实战例题/Array_and_Two_Pointer/88.Merge_sorted_array.py | SilasYa/2021_SU_Algorithms | train | 0 |
5d8ca1051c952063654c28ac2117bedac70221ed | [
"if root == None:\n return (0, True)\nif root.left == None and root.right == None:\n return (1, True)\nleft_depth, left_flag = self.maxDepth(root.left)\nright_depth, right_flag = self.maxDepth(root.right)\nif abs(left_depth - right_depth) < 2 and (left_flag and right_flag):\n return (max(left_depth, right_... | <|body_start_0|>
if root == None:
return (0, True)
if root.left == None and root.right == None:
return (1, True)
left_depth, left_flag = self.maxDepth(root.left)
right_depth, right_flag = self.maxDepth(root.right)
if abs(left_depth - right_depth) < 2 and (... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxDepth(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def isBalanced(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if root == None:
return (0, True)
... | stack_v2_sparse_classes_36k_train_010738 | 1,567 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "maxDepth",
"signature": "def maxDepth(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isBalanced",
"signature": "def isBalanced(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016769 | 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 isBalanced(self, root): :type root: TreeNode :rtype: bool | 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 isBalanced(self, root): :type root: TreeNode :rtype: bool
<|skeleton|>
class Solution:
def maxDepth(self, r... | 4a7f24a6fbba9b8bdb2bcdc8c416d39fb60970c5 | <|skeleton|>
class Solution:
def maxDepth(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def isBalanced(self, root):
""":type root: TreeNode :rtype: bool"""
<|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 root == None:
return (0, True)
if root.left == None and root.right == None:
return (1, True)
left_depth, left_flag = self.maxDepth(root.left)
right_depth, right_flag = ... | the_stack_v2_python_sparse | leetcode_python/Balanced_Binary_Tree_110.py | xiaoxiaojiangshang/LeetCode | train | 0 | |
8e5749d582627e01df978ee621d036a5016a53ac | [
"self.Kp = P\nself.Ki = I\nself.Kd = D\nself.dt = dt\nself.heights = 0\nif simple:\n self.clear_simple()\nelse:\n self.clear()",
"self.integral = 0\nself.previous_error = 0\nself.window_up = 20",
"if self.Ki != 0:\n self.Ti = self.Kp / self.Ki\nelse:\n self.Ti = 10000000\nif self.Kd != 0:\n self.... | <|body_start_0|>
self.Kp = P
self.Ki = I
self.Kd = D
self.dt = dt
self.heights = 0
if simple:
self.clear_simple()
else:
self.clear()
<|end_body_0|>
<|body_start_1|>
self.integral = 0
self.previous_error = 0
self.win... | PID | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PID:
def __init__(self, P, I, D, dt, simple):
"""PID definitions Parameters ---------- P : Proportional gain I : Integral gain D : Derivative gain dt : Sample time"""
<|body_0|>
def clear_simple(self):
"""Variables initialization for update_simple() Parameters ------... | stack_v2_sparse_classes_36k_train_010739 | 3,290 | permissive | [
{
"docstring": "PID definitions Parameters ---------- P : Proportional gain I : Integral gain D : Derivative gain dt : Sample time",
"name": "__init__",
"signature": "def __init__(self, P, I, D, dt, simple)"
},
{
"docstring": "Variables initialization for update_simple() Parameters ---------- se... | 5 | stack_v2_sparse_classes_30k_test_000996 | Implement the Python class `PID` described below.
Class description:
Implement the PID class.
Method signatures and docstrings:
- def __init__(self, P, I, D, dt, simple): PID definitions Parameters ---------- P : Proportional gain I : Integral gain D : Derivative gain dt : Sample time
- def clear_simple(self): Variab... | Implement the Python class `PID` described below.
Class description:
Implement the PID class.
Method signatures and docstrings:
- def __init__(self, P, I, D, dt, simple): PID definitions Parameters ---------- P : Proportional gain I : Integral gain D : Derivative gain dt : Sample time
- def clear_simple(self): Variab... | da67c53cb7fc7f16c0df862a5cff820e9a0a470f | <|skeleton|>
class PID:
def __init__(self, P, I, D, dt, simple):
"""PID definitions Parameters ---------- P : Proportional gain I : Integral gain D : Derivative gain dt : Sample time"""
<|body_0|>
def clear_simple(self):
"""Variables initialization for update_simple() Parameters ------... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PID:
def __init__(self, P, I, D, dt, simple):
"""PID definitions Parameters ---------- P : Proportional gain I : Integral gain D : Derivative gain dt : Sample time"""
self.Kp = P
self.Ki = I
self.Kd = D
self.dt = dt
self.heights = 0
if simple:
... | the_stack_v2_python_sparse | ros_radar_mine/neuro_learning/controller/pid/myPID.py | marina-go-al/blimp_snn | train | 0 | |
dffe148df558e00b55ab2743ad037ecd5f084682 | [
"if not nums:\n return -1\nleft, right = (0, len(nums) - 1)\nwhile 1:\n mid = (left + right) // 2\n if nums[mid] == target:\n return mid\n if nums[left] == target:\n return left\n if nums[right] == target:\n return right\n if left > right:\n return -1\n if nums[mid] ... | <|body_start_0|>
if not nums:
return -1
left, right = (0, len(nums) - 1)
while 1:
mid = (left + right) // 2
if nums[mid] == target:
return mid
if nums[left] == target:
return left
if nums[right] == target... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int 0,1,2,3,4,5,6,7,8,9 3,4,5,6,7,8,9,|0,1,2 8,9,|0,1,2,3,4,5,6,7"""
<|body_0|>
def search2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
... | stack_v2_sparse_classes_36k_train_010740 | 1,851 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int 0,1,2,3,4,5,6,7,8,9 3,4,5,6,7,8,9,|0,1,2 8,9,|0,1,2,3,4,5,6,7",
"name": "search",
"signature": "def search(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "search2",
... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int 0,1,2,3,4,5,6,7,8,9 3,4,5,6,7,8,9,|0,1,2 8,9,|0,1,2,3,4,5,6,7
- def search2(self, nums, target... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int 0,1,2,3,4,5,6,7,8,9 3,4,5,6,7,8,9,|0,1,2 8,9,|0,1,2,3,4,5,6,7
- def search2(self, nums, target... | 85128e7d26157b3c36eb43868269de42ea2fcb98 | <|skeleton|>
class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int 0,1,2,3,4,5,6,7,8,9 3,4,5,6,7,8,9,|0,1,2 8,9,|0,1,2,3,4,5,6,7"""
<|body_0|>
def search2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int 0,1,2,3,4,5,6,7,8,9 3,4,5,6,7,8,9,|0,1,2 8,9,|0,1,2,3,4,5,6,7"""
if not nums:
return -1
left, right = (0, len(nums) - 1)
while 1:
mid = (left + right) // 2
... | the_stack_v2_python_sparse | src/Search in Rotated Sorted Array.py | jsdiuf/leetcode | train | 1 | |
b7077645900666334948ab5b00e3d751f77c8cb7 | [
"if ratio is None and number_of_leaves is None:\n raise LeafSubsamplerError(\"At least one of 'ratio' and 'number_of_leaves' must be specified.\")\nif ratio is not None and number_of_leaves is not None:\n raise LeafSubsamplerError(\"Exactly one of 'ratio' and 'number_of_leaves'must be specified.\")\nself.__ra... | <|body_start_0|>
if ratio is None and number_of_leaves is None:
raise LeafSubsamplerError("At least one of 'ratio' and 'number_of_leaves' must be specified.")
if ratio is not None and number_of_leaves is not None:
raise LeafSubsamplerError("Exactly one of 'ratio' and 'number_of_l... | UniformLeafSubsampler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UniformLeafSubsampler:
def __init__(self, ratio: Optional[float]=None, number_of_leaves: Optional[int]=None):
"""Uniformly subsample leaf samples of a CassiopeiaTree. If 'ratio' is provided, samples 'ratio' of the leaves, rounded down, uniformly at random. If instead 'number_of_leaves' i... | stack_v2_sparse_classes_36k_train_010741 | 4,709 | permissive | [
{
"docstring": "Uniformly subsample leaf samples of a CassiopeiaTree. If 'ratio' is provided, samples 'ratio' of the leaves, rounded down, uniformly at random. If instead 'number_of_leaves' is provided, 'number_of_leaves' of the leaves are sampled uniformly at random. Only one of the two criteria can be provide... | 2 | null | Implement the Python class `UniformLeafSubsampler` described below.
Class description:
Implement the UniformLeafSubsampler class.
Method signatures and docstrings:
- def __init__(self, ratio: Optional[float]=None, number_of_leaves: Optional[int]=None): Uniformly subsample leaf samples of a CassiopeiaTree. If 'ratio' ... | Implement the Python class `UniformLeafSubsampler` described below.
Class description:
Implement the UniformLeafSubsampler class.
Method signatures and docstrings:
- def __init__(self, ratio: Optional[float]=None, number_of_leaves: Optional[int]=None): Uniformly subsample leaf samples of a CassiopeiaTree. If 'ratio' ... | 07b48a1720d84dffacd9a56e380b148206d171bf | <|skeleton|>
class UniformLeafSubsampler:
def __init__(self, ratio: Optional[float]=None, number_of_leaves: Optional[int]=None):
"""Uniformly subsample leaf samples of a CassiopeiaTree. If 'ratio' is provided, samples 'ratio' of the leaves, rounded down, uniformly at random. If instead 'number_of_leaves' i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UniformLeafSubsampler:
def __init__(self, ratio: Optional[float]=None, number_of_leaves: Optional[int]=None):
"""Uniformly subsample leaf samples of a CassiopeiaTree. If 'ratio' is provided, samples 'ratio' of the leaves, rounded down, uniformly at random. If instead 'number_of_leaves' is provided, 'n... | the_stack_v2_python_sparse | cassiopeia/simulator/UniformLeafSubsampler.py | YosefLab/Cassiopeia | train | 73 | |
24cc5a34d1144648a5b8e8e203ecc2e9a7737025 | [
"self.comment('Step 1. Test current state')\ncurrentState = self.state()\nself.comment('Current state is ' + currentState)\nif not currentState:\n self.fail('Failed to get current state from the phone')\nif currentState != 'com.nokia.homescreen':\n self.fail('Current state not com.nokia.homescreen')\nself.com... | <|body_start_0|>
self.comment('Step 1. Test current state')
currentState = self.state()
self.comment('Current state is ' + currentState)
if not currentState:
self.fail('Failed to get current state from the phone')
if currentState != 'com.nokia.homescreen':
... | testBed | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class testBed:
def testState(self):
"""@tcId State"""
<|body_0|>
def testStateInMainMenu(self):
"""@tcId State inMainMenu"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.comment('Step 1. Test current state')
currentState = self.state()
... | stack_v2_sparse_classes_36k_train_010742 | 1,414 | no_license | [
{
"docstring": "@tcId State",
"name": "testState",
"signature": "def testState(self)"
},
{
"docstring": "@tcId State inMainMenu",
"name": "testStateInMainMenu",
"signature": "def testStateInMainMenu(self)"
}
] | 2 | null | Implement the Python class `testBed` described below.
Class description:
Implement the testBed class.
Method signatures and docstrings:
- def testState(self): @tcId State
- def testStateInMainMenu(self): @tcId State inMainMenu | Implement the Python class `testBed` described below.
Class description:
Implement the testBed class.
Method signatures and docstrings:
- def testState(self): @tcId State
- def testStateInMainMenu(self): @tcId State inMainMenu
<|skeleton|>
class testBed:
def testState(self):
"""@tcId State"""
<|... | 0bc1f24ac8e8fb7d4c53f91ae2d1322d385e296a | <|skeleton|>
class testBed:
def testState(self):
"""@tcId State"""
<|body_0|>
def testStateInMainMenu(self):
"""@tcId State inMainMenu"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class testBed:
def testState(self):
"""@tcId State"""
self.comment('Step 1. Test current state')
currentState = self.state()
self.comment('Current state is ' + currentState)
if not currentState:
self.fail('Failed to get current state from the phone')
if cu... | the_stack_v2_python_sparse | test_scripts/self_tests/state.py | slimsymphony/astt | train | 4 | |
3e2227a8d484c5cfedccb6c9d49c40685632ad52 | [
"super(IdealFedbatch, self).__init__(organisms, metabolites, id=id, volume_max=volume_max, Xfeed=Xfeed, Sfeed=Sfeed, deltaX=deltaX, deltaS=deltaS, initial_conditions=initial_conditions, oxygen_availability=oxygen_availability)\nif primary_substrate:\n assert primary_substrate in metabolites\n self.primary_sub... | <|body_start_0|>
super(IdealFedbatch, self).__init__(organisms, metabolites, id=id, volume_max=volume_max, Xfeed=Xfeed, Sfeed=Sfeed, deltaX=deltaX, deltaS=deltaS, initial_conditions=initial_conditions, oxygen_availability=oxygen_availability)
if primary_substrate:
assert primary_substrate in... | This class describes an ideal fedbatch reactor with a single primary substrate. - The flow_rate_in is automatically adjusted using the following rules: - otherwise, calculates flow_rate_in so that substrate concentration is maintained (d_substrate/dt = 0) - The primary substrate (usually the carbon & energy source) can... | IdealFedbatch | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IdealFedbatch:
"""This class describes an ideal fedbatch reactor with a single primary substrate. - The flow_rate_in is automatically adjusted using the following rules: - otherwise, calculates flow_rate_in so that substrate concentration is maintained (d_substrate/dt = 0) - The primary substrate... | stack_v2_sparse_classes_36k_train_010743 | 6,215 | permissive | [
{
"docstring": ":param organisms: list of Organism :param metabolites: list of string :param Sfeed: concentration of metabolites in the feed stream [mmol/L] :param primary_substrate (string): usually the carbon & energy source. :param volume_max (float): liquid capacity of the bioreactor :param Xfeed: concentra... | 2 | stack_v2_sparse_classes_30k_val_000387 | Implement the Python class `IdealFedbatch` described below.
Class description:
This class describes an ideal fedbatch reactor with a single primary substrate. - The flow_rate_in is automatically adjusted using the following rules: - otherwise, calculates flow_rate_in so that substrate concentration is maintained (d_su... | Implement the Python class `IdealFedbatch` described below.
Class description:
This class describes an ideal fedbatch reactor with a single primary substrate. - The flow_rate_in is automatically adjusted using the following rules: - otherwise, calculates flow_rate_in so that substrate concentration is maintained (d_su... | 36d56437685cbf5c7c3c8ee4f6d85b8f05f4d345 | <|skeleton|>
class IdealFedbatch:
"""This class describes an ideal fedbatch reactor with a single primary substrate. - The flow_rate_in is automatically adjusted using the following rules: - otherwise, calculates flow_rate_in so that substrate concentration is maintained (d_substrate/dt = 0) - The primary substrate... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IdealFedbatch:
"""This class describes an ideal fedbatch reactor with a single primary substrate. - The flow_rate_in is automatically adjusted using the following rules: - otherwise, calculates flow_rate_in so that substrate concentration is maintained (d_substrate/dt = 0) - The primary substrate (usually the... | the_stack_v2_python_sparse | src/framed/bioreactor/bioreactors.py | arshah18/framed | train | 0 |
d4cd6ee3952fa71ea13008c882487e4a6d7c7913 | [
"endpoint = '/WarehouseNumberSet'\nparams = {}\nif descriptions or storagebins:\n exvalues = []\n if descriptions:\n exvalues.append('WarehouseDescriptions')\n if storagebins:\n exvalues.append('StorageBins')\n params['$expand'] = ','.join(exvalues)\nids = {'Lgnum': lgnum}\nhttp_resp = sel... | <|body_start_0|>
endpoint = '/WarehouseNumberSet'
params = {}
if descriptions or storagebins:
exvalues = []
if descriptions:
exvalues.append('WarehouseDescriptions')
if storagebins:
exvalues.append('StorageBins')
par... | Interaction with EWM warehouse APIs. | WarehouseOData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WarehouseOData:
"""Interaction with EWM warehouse APIs."""
def get_warehouse(self, lgnum: str, descriptions: bool=False, storagebins: bool=False) -> Warehouse:
"""Get data of one warehouse. Optionally expand descriptions and storage bins."""
<|body_0|>
def get_warehouses... | stack_v2_sparse_classes_36k_train_010744 | 27,237 | permissive | [
{
"docstring": "Get data of one warehouse. Optionally expand descriptions and storage bins.",
"name": "get_warehouse",
"signature": "def get_warehouse(self, lgnum: str, descriptions: bool=False, storagebins: bool=False) -> Warehouse"
},
{
"docstring": "Get data of all warehouses. Optionally expa... | 6 | stack_v2_sparse_classes_30k_train_016086 | Implement the Python class `WarehouseOData` described below.
Class description:
Interaction with EWM warehouse APIs.
Method signatures and docstrings:
- def get_warehouse(self, lgnum: str, descriptions: bool=False, storagebins: bool=False) -> Warehouse: Get data of one warehouse. Optionally expand descriptions and st... | Implement the Python class `WarehouseOData` described below.
Class description:
Interaction with EWM warehouse APIs.
Method signatures and docstrings:
- def get_warehouse(self, lgnum: str, descriptions: bool=False, storagebins: bool=False) -> Warehouse: Get data of one warehouse. Optionally expand descriptions and st... | 80be05b5bc81a5e3ffd89279e2f49023bd71b478 | <|skeleton|>
class WarehouseOData:
"""Interaction with EWM warehouse APIs."""
def get_warehouse(self, lgnum: str, descriptions: bool=False, storagebins: bool=False) -> Warehouse:
"""Get data of one warehouse. Optionally expand descriptions and storage bins."""
<|body_0|>
def get_warehouses... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WarehouseOData:
"""Interaction with EWM warehouse APIs."""
def get_warehouse(self, lgnum: str, descriptions: bool=False, storagebins: bool=False) -> Warehouse:
"""Get data of one warehouse. Optionally expand descriptions and storage bins."""
endpoint = '/WarehouseNumberSet'
params... | the_stack_v2_python_sparse | python-modules/robcoewminterface/robcoewminterface/ewm.py | SAP/ewm-cloud-robotics | train | 29 |
fc27b726778212c860cc251142374e17c8da52cd | [
"host = '127.0.0.1'\nuser = 'root'\npassword = '123456'\ndatabase = 'notebook'\nself.db = pymysql.connect(host=host, user=user, password=password, db=database)\nself.cursor = self.db.cursor(cursor=pymysql.cursors.DictCursor)",
"try:\n self.cursor.execute(sql)\n self.db.commit()\nexcept Exception:\n print... | <|body_start_0|>
host = '127.0.0.1'
user = 'root'
password = '123456'
database = 'notebook'
self.db = pymysql.connect(host=host, user=user, password=password, db=database)
self.cursor = self.db.cursor(cursor=pymysql.cursors.DictCursor)
<|end_body_0|>
<|body_start_1|>
... | MysqlUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MysqlUtil:
def __init__(self):
"""初始化方法，连接数据库"""
<|body_0|>
def insert(self, sql):
"""插入数据库 sql:插入数据库的sql语句"""
<|body_1|>
def fetchone(self, sql):
"""查询数据库：单个结果集 fetchone(): 该方法获取下一个查询结果集。结果集是一个对象"""
<|body_2|>
def fetchall(self, sql... | stack_v2_sparse_classes_36k_train_010745 | 3,579 | no_license | [
{
"docstring": "初始化方法，连接数据库",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "插入数据库 sql:插入数据库的sql语句",
"name": "insert",
"signature": "def insert(self, sql)"
},
{
"docstring": "查询数据库：单个结果集 fetchone(): 该方法获取下一个查询结果集。结果集是一个对象",
"name": "fetchone",
"s... | 6 | stack_v2_sparse_classes_30k_train_007776 | Implement the Python class `MysqlUtil` described below.
Class description:
Implement the MysqlUtil class.
Method signatures and docstrings:
- def __init__(self): 初始化方法，连接数据库
- def insert(self, sql): 插入数据库 sql:插入数据库的sql语句
- def fetchone(self, sql): 查询数据库：单个结果集 fetchone(): 该方法获取下一个查询结果集。结果集是一个对象
- def fetchall(self, sq... | Implement the Python class `MysqlUtil` described below.
Class description:
Implement the MysqlUtil class.
Method signatures and docstrings:
- def __init__(self): 初始化方法，连接数据库
- def insert(self, sql): 插入数据库 sql:插入数据库的sql语句
- def fetchone(self, sql): 查询数据库：单个结果集 fetchone(): 该方法获取下一个查询结果集。结果集是一个对象
- def fetchall(self, sq... | 77ed974e08b3d6240b591b1d99a23883eab9b8fb | <|skeleton|>
class MysqlUtil:
def __init__(self):
"""初始化方法，连接数据库"""
<|body_0|>
def insert(self, sql):
"""插入数据库 sql:插入数据库的sql语句"""
<|body_1|>
def fetchone(self, sql):
"""查询数据库：单个结果集 fetchone(): 该方法获取下一个查询结果集。结果集是一个对象"""
<|body_2|>
def fetchall(self, sql... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MysqlUtil:
def __init__(self):
"""初始化方法，连接数据库"""
host = '127.0.0.1'
user = 'root'
password = '123456'
database = 'notebook'
self.db = pymysql.connect(host=host, user=user, password=password, db=database)
self.cursor = self.db.cursor(cursor=pymysql.cursor... | the_stack_v2_python_sparse | my_project/notebook/mysql_util.py | wangleiliugang/myproject | train | 0 | |
5118e334b175e78c1f828bc487961e8d46eba801 | [
"LOGGER.debug(f'Copying {self.archive_path} to {self.duplicate_path}')\nshutil.copyfile(self.archive_path, self.duplicate_path)\nLOGGER.debug(f'Copied {self.archive_path} to {self.duplicate_path}')\nwith DataExplorer(self.duplicate_path, allow_edits=True) as data:\n for step in self.preprocessing_steps:\n ... | <|body_start_0|>
LOGGER.debug(f'Copying {self.archive_path} to {self.duplicate_path}')
shutil.copyfile(self.archive_path, self.duplicate_path)
LOGGER.debug(f'Copied {self.archive_path} to {self.duplicate_path}')
with DataExplorer(self.duplicate_path, allow_edits=True) as data:
... | Coordinate multiple steps of processing. | ProcessCoordinator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProcessCoordinator:
"""Coordinate multiple steps of processing."""
def run_preprocess(self, debug: bool=False) -> None:
"""Run the pre-processing steps."""
<|body_0|>
def run_process(self, debug: bool=False) -> None:
"""Run the processing steps."""
<|body... | stack_v2_sparse_classes_36k_train_010746 | 12,852 | permissive | [
{
"docstring": "Run the pre-processing steps.",
"name": "run_preprocess",
"signature": "def run_preprocess(self, debug: bool=False) -> None"
},
{
"docstring": "Run the processing steps.",
"name": "run_process",
"signature": "def run_process(self, debug: bool=False) -> None"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_014492 | Implement the Python class `ProcessCoordinator` described below.
Class description:
Coordinate multiple steps of processing.
Method signatures and docstrings:
- def run_preprocess(self, debug: bool=False) -> None: Run the pre-processing steps.
- def run_process(self, debug: bool=False) -> None: Run the processing ste... | Implement the Python class `ProcessCoordinator` described below.
Class description:
Coordinate multiple steps of processing.
Method signatures and docstrings:
- def run_preprocess(self, debug: bool=False) -> None: Run the pre-processing steps.
- def run_process(self, debug: bool=False) -> None: Run the processing ste... | 1c2b5b861849ccf76b5ea6aaf0fcbf429aa6bfcf | <|skeleton|>
class ProcessCoordinator:
"""Coordinate multiple steps of processing."""
def run_preprocess(self, debug: bool=False) -> None:
"""Run the pre-processing steps."""
<|body_0|>
def run_process(self, debug: bool=False) -> None:
"""Run the processing steps."""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProcessCoordinator:
"""Coordinate multiple steps of processing."""
def run_preprocess(self, debug: bool=False) -> None:
"""Run the pre-processing steps."""
LOGGER.debug(f'Copying {self.archive_path} to {self.duplicate_path}')
shutil.copyfile(self.archive_path, self.duplicate_path)... | the_stack_v2_python_sparse | shabanipy/utils/data_processing.py | jnt299/shabanipy | train | 1 |
973b5e1c5a3394797fe82c8bf903a551d8e8e052 | [
"super(SaleImages, self).__init__(*args, **kwargs)\nself.endpoint = 'sale/images'\nself._headers = {'Accept': 'application/vnd.allegro.public.v1+json', 'Content-type': 'image/jpeg'}",
"image_format_map = {'JPG': 'image/jpeg', 'PNG': 'image/png', 'GIF': 'image/gif'}\nself._headers['Content-type'] = image_format_ma... | <|body_start_0|>
super(SaleImages, self).__init__(*args, **kwargs)
self.endpoint = 'sale/images'
self._headers = {'Accept': 'application/vnd.allegro.public.v1+json', 'Content-type': 'image/jpeg'}
<|end_body_0|>
<|body_start_1|>
image_format_map = {'JPG': 'image/jpeg', 'PNG': 'image/png'... | Manage offer images | SaleImages | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SaleImages:
"""Manage offer images"""
def __init__(self, *args, **kwargs):
"""Initialize the endpoint"""
<|body_0|>
def upload(self, image_location, image_type='JPG'):
"""Upload local image ex. upload("/imgs/1.jpg", "JPG") :param image_location: The location of i... | stack_v2_sparse_classes_36k_train_010747 | 1,554 | permissive | [
{
"docstring": "Initialize the endpoint",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Upload local image ex. upload(\"/imgs/1.jpg\", \"JPG\") :param image_location: The location of image file (must not be URL but local!) :type image_location: :py:cla... | 2 | stack_v2_sparse_classes_30k_train_009623 | Implement the Python class `SaleImages` described below.
Class description:
Manage offer images
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize the endpoint
- def upload(self, image_location, image_type='JPG'): Upload local image ex. upload("/imgs/1.jpg", "JPG") :param image_locati... | Implement the Python class `SaleImages` described below.
Class description:
Manage offer images
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize the endpoint
- def upload(self, image_location, image_type='JPG'): Upload local image ex. upload("/imgs/1.jpg", "JPG") :param image_locati... | 112b0f2570fcf3840645dd62f6f7150956e56f9c | <|skeleton|>
class SaleImages:
"""Manage offer images"""
def __init__(self, *args, **kwargs):
"""Initialize the endpoint"""
<|body_0|>
def upload(self, image_location, image_type='JPG'):
"""Upload local image ex. upload("/imgs/1.jpg", "JPG") :param image_location: The location of i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SaleImages:
"""Manage offer images"""
def __init__(self, *args, **kwargs):
"""Initialize the endpoint"""
super(SaleImages, self).__init__(*args, **kwargs)
self.endpoint = 'sale/images'
self._headers = {'Accept': 'application/vnd.allegro.public.v1+json', 'Content-type': 'im... | the_stack_v2_python_sparse | allegroapi/entities/saleimages.py | krystianmagdziarz/python-allegro | train | 0 |
541a2dd097a2d5437d85750e068f3585f2fc76f2 | [
"try:\n self.hide_keyboard()\n logging.info('===隐藏键盘===')\nexcept BaseException as e:\n logging.info('%s' % e)\n self.driver.find_element(*self.loginBtn).click()\n logging.info('ok!')\nelse:\n self.driver.find_element(*self.loginBtn).click()\n logging.info('ok!')",
"logging.info('============... | <|body_start_0|>
try:
self.hide_keyboard()
logging.info('===隐藏键盘===')
except BaseException as e:
logging.info('%s' % e)
self.driver.find_element(*self.loginBtn).click()
logging.info('ok!')
else:
self.driver.find_element(*sel... | LoginView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginView:
def click_login_button(self):
"""登录按钮"""
<|body_0|>
def pwd_login(self, username, password):
"""密码登录业务"""
<|body_1|>
def code_login(self, username, cod):
"""验证码登录业务"""
<|body_2|>
def login_action(self, username, password):... | stack_v2_sparse_classes_36k_train_010748 | 3,383 | no_license | [
{
"docstring": "登录按钮",
"name": "click_login_button",
"signature": "def click_login_button(self)"
},
{
"docstring": "密码登录业务",
"name": "pwd_login",
"signature": "def pwd_login(self, username, password)"
},
{
"docstring": "验证码登录业务",
"name": "code_login",
"signature": "def co... | 5 | null | Implement the Python class `LoginView` described below.
Class description:
Implement the LoginView class.
Method signatures and docstrings:
- def click_login_button(self): 登录按钮
- def pwd_login(self, username, password): 密码登录业务
- def code_login(self, username, cod): 验证码登录业务
- def login_action(self, username, password)... | Implement the Python class `LoginView` described below.
Class description:
Implement the LoginView class.
Method signatures and docstrings:
- def click_login_button(self): 登录按钮
- def pwd_login(self, username, password): 密码登录业务
- def code_login(self, username, cod): 验证码登录业务
- def login_action(self, username, password)... | 80539f8d3fc5ccb5c07aab2ad37a9c071bb4944d | <|skeleton|>
class LoginView:
def click_login_button(self):
"""登录按钮"""
<|body_0|>
def pwd_login(self, username, password):
"""密码登录业务"""
<|body_1|>
def code_login(self, username, cod):
"""验证码登录业务"""
<|body_2|>
def login_action(self, username, password):... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LoginView:
def click_login_button(self):
"""登录按钮"""
try:
self.hide_keyboard()
logging.info('===隐藏键盘===')
except BaseException as e:
logging.info('%s' % e)
self.driver.find_element(*self.loginBtn).click()
logging.info('ok!')
... | the_stack_v2_python_sparse | WFX_App_Test/businessView/loginView.py | yangyuexiong/WFX_Test | train | 0 | |
52f07bad44027010157743f2eba017a1d52bc7d4 | [
"super(SentimentRNN, self).__init__()\nself.output_size = output_size\nself.n_layers = n_layers\nself.hidden_dim = hidden_dim\nself.embedding = nn.Embedding(vocab_size, embedding_dim)\nself.lstm = nn.LSTM(embedding_dim, hidden_dim, n_layers, dropout=drop_prob, batch_first=True)\nself.dropout = nn.Dropout(0.5)\nself... | <|body_start_0|>
super(SentimentRNN, self).__init__()
self.output_size = output_size
self.n_layers = n_layers
self.hidden_dim = hidden_dim
self.embedding = nn.Embedding(vocab_size, embedding_dim)
self.lstm = nn.LSTM(embedding_dim, hidden_dim, n_layers, dropout=drop_prob, ... | The RNN model that will be used to perform Sentiment analysis. | SentimentRNN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SentimentRNN:
"""The RNN model that will be used to perform Sentiment analysis."""
def __init__(self, vocab_size, output_size, embedding_dim, hidden_dim, n_layers, drop_prob=0.5):
"""Initialize the model by setting up the layers."""
<|body_0|>
def forward(self, x, hidden... | stack_v2_sparse_classes_36k_train_010749 | 5,077 | permissive | [
{
"docstring": "Initialize the model by setting up the layers.",
"name": "__init__",
"signature": "def __init__(self, vocab_size, output_size, embedding_dim, hidden_dim, n_layers, drop_prob=0.5)"
},
{
"docstring": "Perform a forward pass of our model on some input and hidden state.",
"name":... | 3 | stack_v2_sparse_classes_30k_train_016533 | Implement the Python class `SentimentRNN` described below.
Class description:
The RNN model that will be used to perform Sentiment analysis.
Method signatures and docstrings:
- def __init__(self, vocab_size, output_size, embedding_dim, hidden_dim, n_layers, drop_prob=0.5): Initialize the model by setting up the layer... | Implement the Python class `SentimentRNN` described below.
Class description:
The RNN model that will be used to perform Sentiment analysis.
Method signatures and docstrings:
- def __init__(self, vocab_size, output_size, embedding_dim, hidden_dim, n_layers, drop_prob=0.5): Initialize the model by setting up the layer... | 6426c102f02df799717596346ea0bf417361bfa0 | <|skeleton|>
class SentimentRNN:
"""The RNN model that will be used to perform Sentiment analysis."""
def __init__(self, vocab_size, output_size, embedding_dim, hidden_dim, n_layers, drop_prob=0.5):
"""Initialize the model by setting up the layers."""
<|body_0|>
def forward(self, x, hidden... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SentimentRNN:
"""The RNN model that will be used to perform Sentiment analysis."""
def __init__(self, vocab_size, output_size, embedding_dim, hidden_dim, n_layers, drop_prob=0.5):
"""Initialize the model by setting up the layers."""
super(SentimentRNN, self).__init__()
self.output... | the_stack_v2_python_sparse | InteligênciaArtificial/rating-comments-nlp/src/textminig_code.py | rafanthx13/college-projects | train | 0 |
d942cbc878eca461492077c261fc3a65d3665446 | [
"sf = SurfaceForm(u'verkoeílikheid', 'rejected')\nassert sf.value == u'verkoeílikheid'\nassert sf.status == 'rejected'\nsf = SurfaceForm(u'varkieş', 'todo', 3, 30, datetime.fromtimestamp(0), 33, 333)\nassert sf.value == u'varkieş'\nassert sf.status == 'todo'\nassert sf.id == 3\nassert sf.user_id == 30\nassert sf.da... | <|body_start_0|>
sf = SurfaceForm(u'verkoeílikheid', 'rejected')
assert sf.value == u'verkoeílikheid'
assert sf.status == 'rejected'
sf = SurfaceForm(u'varkieş', 'todo', 3, 30, datetime.fromtimestamp(0), 33, 333)
assert sf.value == u'varkieş'
assert sf.status == 'todo'
... | Unit test for the SurfaceForm model class. | TestSurfaceForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSurfaceForm:
"""Unit test for the SurfaceForm model class."""
def test_create_no_xml(self):
"""Test creation of a simple SurfaceForm object with its own constructor."""
<|body_0|>
def test_create_from_xml(self):
"""Test creation of a SurfaceForm instance by u... | stack_v2_sparse_classes_36k_train_010750 | 2,880 | no_license | [
{
"docstring": "Test creation of a simple SurfaceForm object with its own constructor.",
"name": "test_create_no_xml",
"signature": "def test_create_no_xml(self)"
},
{
"docstring": "Test creation of a SurfaceForm instance by using the create_from_elem() factory method.",
"name": "test_create... | 2 | stack_v2_sparse_classes_30k_train_012013 | Implement the Python class `TestSurfaceForm` described below.
Class description:
Unit test for the SurfaceForm model class.
Method signatures and docstrings:
- def test_create_no_xml(self): Test creation of a simple SurfaceForm object with its own constructor.
- def test_create_from_xml(self): Test creation of a Surf... | Implement the Python class `TestSurfaceForm` described below.
Class description:
Unit test for the SurfaceForm model class.
Method signatures and docstrings:
- def test_create_no_xml(self): Test creation of a simple SurfaceForm object with its own constructor.
- def test_create_from_xml(self): Test creation of a Surf... | 2c169f0904d54d462958049e5527c3d8fb780238 | <|skeleton|>
class TestSurfaceForm:
"""Unit test for the SurfaceForm model class."""
def test_create_no_xml(self):
"""Test creation of a simple SurfaceForm object with its own constructor."""
<|body_0|>
def test_create_from_xml(self):
"""Test creation of a SurfaceForm instance by u... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSurfaceForm:
"""Unit test for the SurfaceForm model class."""
def test_create_no_xml(self):
"""Test creation of a simple SurfaceForm object with its own constructor."""
sf = SurfaceForm(u'verkoeílikheid', 'rejected')
assert sf.value == u'verkoeílikheid'
assert sf.statu... | the_stack_v2_python_sparse | spelt/models/test_surface_form.py | translate/spelt | train | 2 |
af7d3fc2f88e16a3900aa24b80d863e00d5bdf61 | [
"super().__init__()\nself.title = 'Transient Analyser'\nself.left = 300\nself.top = 100\nself.width = 1400\nself.height = 900\nself.initUI()\nself.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())\npg.setConfigOption('background', 0.1)\npg.setConfigOption('foreground', 0.7)",
"self.setWindowTitle(self.title)\nsel... | <|body_start_0|>
super().__init__()
self.title = 'Transient Analyser'
self.left = 300
self.top = 100
self.width = 1400
self.height = 900
self.initUI()
self.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())
pg.setConfigOption('background', 0.1)
... | Main application window | MainWindow | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MainWindow:
"""Main application window"""
def __init__(self):
"""Initialize by setting window title, size and graphic options"""
<|body_0|>
def initUI(self):
"""Create the layout, adding central widget, layout style and status bar."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_36k_train_010751 | 17,415 | permissive | [
{
"docstring": "Initialize by setting window title, size and graphic options",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Create the layout, adding central widget, layout style and status bar.",
"name": "initUI",
"signature": "def initUI(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017051 | Implement the Python class `MainWindow` described below.
Class description:
Main application window
Method signatures and docstrings:
- def __init__(self): Initialize by setting window title, size and graphic options
- def initUI(self): Create the layout, adding central widget, layout style and status bar. | Implement the Python class `MainWindow` described below.
Class description:
Main application window
Method signatures and docstrings:
- def __init__(self): Initialize by setting window title, size and graphic options
- def initUI(self): Create the layout, adding central widget, layout style and status bar.
<|skeleto... | 138e11613c15cea73d73a64daed591c15303fd4d | <|skeleton|>
class MainWindow:
"""Main application window"""
def __init__(self):
"""Initialize by setting window title, size and graphic options"""
<|body_0|>
def initUI(self):
"""Create the layout, adding central widget, layout style and status bar."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MainWindow:
"""Main application window"""
def __init__(self):
"""Initialize by setting window title, size and graphic options"""
super().__init__()
self.title = 'Transient Analyser'
self.left = 300
self.top = 100
self.width = 1400
self.height = 900
... | the_stack_v2_python_sparse | GUI/TransientsWidgets.py | steinnymir/RegAscope2017 | train | 1 |
12254d006245e24817d2ad965fe1b577c2cc1286 | [
"import time\nimport thread\nthread.start_new_thread(self.run, ())",
"import viewer_basics\ntry:\n self.app = viewer_basics.SecondThreadApp(0)\n self.app.MainLoop()\nexcept TypeError:\n self.app = None",
"import viewer_basics\nif self.app:\n evt = viewer_basics.AddCone()\n viewer_basics.wxPostEve... | <|body_start_0|>
import time
import thread
thread.start_new_thread(self.run, ())
<|end_body_0|>
<|body_start_1|>
import viewer_basics
try:
self.app = viewer_basics.SecondThreadApp(0)
self.app.MainLoop()
except TypeError:
self.app = Non... | viewer_thread | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class viewer_thread:
def start(self):
"""start the GUI thread"""
<|body_0|>
def run(self):
"""Note that viewer_basices is first imported ***here***. This is the second thread. viewer_basics imports wxPython. if we imported it at the module level instead of in this function... | stack_v2_sparse_classes_36k_train_010752 | 3,430 | no_license | [
{
"docstring": "start the GUI thread",
"name": "start",
"signature": "def start(self)"
},
{
"docstring": "Note that viewer_basices is first imported ***here***. This is the second thread. viewer_basics imports wxPython. if we imported it at the module level instead of in this function, the impor... | 3 | stack_v2_sparse_classes_30k_train_002362 | Implement the Python class `viewer_thread` described below.
Class description:
Implement the viewer_thread class.
Method signatures and docstrings:
- def start(self): start the GUI thread
- def run(self): Note that viewer_basices is first imported ***here***. This is the second thread. viewer_basics imports wxPython.... | Implement the Python class `viewer_thread` described below.
Class description:
Implement the viewer_thread class.
Method signatures and docstrings:
- def start(self): start the GUI thread
- def run(self): Note that viewer_basices is first imported ***here***. This is the second thread. viewer_basics imports wxPython.... | 13cceab2a1891ab443e62078be729dc1e1e2e283 | <|skeleton|>
class viewer_thread:
def start(self):
"""start the GUI thread"""
<|body_0|>
def run(self):
"""Note that viewer_basices is first imported ***here***. This is the second thread. viewer_basics imports wxPython. if we imported it at the module level instead of in this function... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class viewer_thread:
def start(self):
"""start the GUI thread"""
import time
import thread
thread.start_new_thread(self.run, ())
def run(self):
"""Note that viewer_basices is first imported ***here***. This is the second thread. viewer_basics imports wxPython. if we impo... | the_stack_v2_python_sparse | wxPython/demo/viewer.py | nvaccess/wxPython | train | 1 | |
e00a52feb2616c75c3683be3cd45c1011ca82899 | [
"carrierfac = CarrierFacility.objects.get(id=pk)\nif not check_permissions_from_request(request, carrierfac.facility, 'c'):\n return Response(status=status.HTTP_403_FORBIDDEN)\ncarrierfac.status = 'ok'\ncarrierfac.save()\nreturn Response(self.serializer_class(carrierfac).data)",
"carrierfac = CarrierFacility.o... | <|body_start_0|>
carrierfac = CarrierFacility.objects.get(id=pk)
if not check_permissions_from_request(request, carrierfac.facility, 'c'):
return Response(status=status.HTTP_403_FORBIDDEN)
carrierfac.status = 'ok'
carrierfac.save()
return Response(self.serializer_clas... | Custom API endpoints for the carrier-facility object, exposed to api/carrierfac/{id}/{action} | CarrierFacilityMixin | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CarrierFacilityMixin:
"""Custom API endpoints for the carrier-facility object, exposed to api/carrierfac/{id}/{action}"""
def approve(self, request, pk, *args, **kwargs):
"""Allows the org to approve a carrier listing at their facility"""
<|body_0|>
def reject(self, requ... | stack_v2_sparse_classes_36k_train_010753 | 40,361 | permissive | [
{
"docstring": "Allows the org to approve a carrier listing at their facility",
"name": "approve",
"signature": "def approve(self, request, pk, *args, **kwargs)"
},
{
"docstring": "Allows the org to reject a carrier listing at their facility",
"name": "reject",
"signature": "def reject(s... | 2 | null | Implement the Python class `CarrierFacilityMixin` described below.
Class description:
Custom API endpoints for the carrier-facility object, exposed to api/carrierfac/{id}/{action}
Method signatures and docstrings:
- def approve(self, request, pk, *args, **kwargs): Allows the org to approve a carrier listing at their ... | Implement the Python class `CarrierFacilityMixin` described below.
Class description:
Custom API endpoints for the carrier-facility object, exposed to api/carrierfac/{id}/{action}
Method signatures and docstrings:
- def approve(self, request, pk, *args, **kwargs): Allows the org to approve a carrier listing at their ... | 3f62b2d97c78ccf151fb1a5761637e28463b9541 | <|skeleton|>
class CarrierFacilityMixin:
"""Custom API endpoints for the carrier-facility object, exposed to api/carrierfac/{id}/{action}"""
def approve(self, request, pk, *args, **kwargs):
"""Allows the org to approve a carrier listing at their facility"""
<|body_0|>
def reject(self, requ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CarrierFacilityMixin:
"""Custom API endpoints for the carrier-facility object, exposed to api/carrierfac/{id}/{action}"""
def approve(self, request, pk, *args, **kwargs):
"""Allows the org to approve a carrier listing at their facility"""
carrierfac = CarrierFacility.objects.get(id=pk)
... | the_stack_v2_python_sparse | peeringdb_server/rest.py | peeringdb/peeringdb | train | 311 |
64c21eb7e3397b5d3e490561f13c0216dfae40cb | [
"guids = []\nignore = parse_gitignore_lines(ignore_lines, os.path.join(folder, 'nofile.txt'), folder)\nfor root, dirs, files in os.walk(folder):\n for d in dirs[:]:\n fullpath = os.path.join(root, d)\n if ignore(fullpath):\n logging.debug(f'Ignore folder: {fullpath}')\n dirs.r... | <|body_start_0|>
guids = []
ignore = parse_gitignore_lines(ignore_lines, os.path.join(folder, 'nofile.txt'), folder)
for root, dirs, files in os.walk(folder):
for d in dirs[:]:
fullpath = os.path.join(root, d)
if ignore(fullpath):
l... | Static class for returning Guids. | GuidList | [
"BSD-2-Clause-Patent"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GuidList:
"""Static class for returning Guids."""
def guidlist_from_filesystem(folder: str, ignore_lines: list=list()) -> list:
"""Create a list of GuidListEntry from files found in the file system. Args: folder (str): path string to root folder to walk ignore_lines (list): list of g... | stack_v2_sparse_classes_36k_train_010754 | 4,603 | permissive | [
{
"docstring": "Create a list of GuidListEntry from files found in the file system. Args: folder (str): path string to root folder to walk ignore_lines (list): list of gitignore syntax to ignore files and folders Returns: (list[GuidListEntry]): guids",
"name": "guidlist_from_filesystem",
"signature": "d... | 4 | stack_v2_sparse_classes_30k_train_010392 | Implement the Python class `GuidList` described below.
Class description:
Static class for returning Guids.
Method signatures and docstrings:
- def guidlist_from_filesystem(folder: str, ignore_lines: list=list()) -> list: Create a list of GuidListEntry from files found in the file system. Args: folder (str): path str... | Implement the Python class `GuidList` described below.
Class description:
Static class for returning Guids.
Method signatures and docstrings:
- def guidlist_from_filesystem(folder: str, ignore_lines: list=list()) -> list: Create a list of GuidListEntry from files found in the file system. Args: folder (str): path str... | 78295929b37af62a8cfc4c28eab72ed0c468f350 | <|skeleton|>
class GuidList:
"""Static class for returning Guids."""
def guidlist_from_filesystem(folder: str, ignore_lines: list=list()) -> list:
"""Create a list of GuidListEntry from files found in the file system. Args: folder (str): path string to root folder to walk ignore_lines (list): list of g... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GuidList:
"""Static class for returning Guids."""
def guidlist_from_filesystem(folder: str, ignore_lines: list=list()) -> list:
"""Create a list of GuidListEntry from files found in the file system. Args: folder (str): path string to root folder to walk ignore_lines (list): list of gitignore synt... | the_stack_v2_python_sparse | edk2toollib/uefi/edk2/guid_list.py | tianocore/edk2-pytool-library | train | 47 |
df559ebb20da446d3e89da980481ae63899edc62 | [
"if n == 3 or n == 2:\n return 2\nelif n == 1:\n return 1\nelse:\n base = 4 * self.lastRemaining_(n / 4)\n if n % 4 == 0 or n % 4 == 1:\n return base - 2\n else:\n return base",
"a = p = 1\ncnt = 0\nwhile n > 1:\n n /= 2\n cnt += 1\n p *= 2\n if cnt % 2:\n a += p / ... | <|body_start_0|>
if n == 3 or n == 2:
return 2
elif n == 1:
return 1
else:
base = 4 * self.lastRemaining_(n / 4)
if n % 4 == 0 or n % 4 == 1:
return base - 2
else:
return base
<|end_body_0|>
<|body_start... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lastRemaining_(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def lastRemaining(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n == 3 or n == 2:
return 2
elif n == 1:
... | stack_v2_sparse_classes_36k_train_010755 | 1,529 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "lastRemaining_",
"signature": "def lastRemaining_(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "lastRemaining",
"signature": "def lastRemaining(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001618 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastRemaining_(self, n): :type n: int :rtype: int
- def lastRemaining(self, n): :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastRemaining_(self, n): :type n: int :rtype: int
- def lastRemaining(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def lastRemaining_(self, n):
... | 1520e1e9bb0c428797a3e5234e5b328110472c20 | <|skeleton|>
class Solution:
def lastRemaining_(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def lastRemaining(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def lastRemaining_(self, n):
""":type n: int :rtype: int"""
if n == 3 or n == 2:
return 2
elif n == 1:
return 1
else:
base = 4 * self.lastRemaining_(n / 4)
if n % 4 == 0 or n % 4 == 1:
return base - 2
... | the_stack_v2_python_sparse | simulation/390. Elimination Game.py | tinkle1129/Leetcode_Solution | train | 0 | |
e23bcee24105e40fd1fe594d716146490d323db9 | [
"date = ['2013-04-20', '2013-04-21', '2013-04-22']\ntitle = ['MA for 2013-04', 'Football', 'Shopping']\ndetail = ['Time schedule is from 10:00 to 14:00', 'Plays football at Shin-Yokohama park.', 'Shopping with friends at Yokohama Station']\nexpected_date = ['2013-04-20', '2013-04-21', '2013-04-22', '2019-10-31']\ne... | <|body_start_0|>
date = ['2013-04-20', '2013-04-21', '2013-04-22']
title = ['MA for 2013-04', 'Football', 'Shopping']
detail = ['Time schedule is from 10:00 to 14:00', 'Plays football at Shin-Yokohama park.', 'Shopping with friends at Yokohama Station']
expected_date = ['2013-04-20', '20... | TestStringMethods | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestStringMethods:
def test_adding_schedule_success(self):
"""This is testing for adding schedule to the current schedule"""
<|body_0|>
def testing_delete_function(self):
"""This is testing for deleting schedule from the current schedule"""
<|body_1|>
de... | stack_v2_sparse_classes_36k_train_010756 | 5,436 | no_license | [
{
"docstring": "This is testing for adding schedule to the current schedule",
"name": "test_adding_schedule_success",
"signature": "def test_adding_schedule_success(self)"
},
{
"docstring": "This is testing for deleting schedule from the current schedule",
"name": "testing_delete_function",
... | 4 | stack_v2_sparse_classes_30k_train_012682 | Implement the Python class `TestStringMethods` described below.
Class description:
Implement the TestStringMethods class.
Method signatures and docstrings:
- def test_adding_schedule_success(self): This is testing for adding schedule to the current schedule
- def testing_delete_function(self): This is testing for del... | Implement the Python class `TestStringMethods` described below.
Class description:
Implement the TestStringMethods class.
Method signatures and docstrings:
- def test_adding_schedule_success(self): This is testing for adding schedule to the current schedule
- def testing_delete_function(self): This is testing for del... | 72181672d800ec59bac06978cab08a59e734933e | <|skeleton|>
class TestStringMethods:
def test_adding_schedule_success(self):
"""This is testing for adding schedule to the current schedule"""
<|body_0|>
def testing_delete_function(self):
"""This is testing for deleting schedule from the current schedule"""
<|body_1|>
de... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestStringMethods:
def test_adding_schedule_success(self):
"""This is testing for adding schedule to the current schedule"""
date = ['2013-04-20', '2013-04-21', '2013-04-22']
title = ['MA for 2013-04', 'Football', 'Shopping']
detail = ['Time schedule is from 10:00 to 14:00', 'P... | the_stack_v2_python_sparse | TechExam/Exam Folder/Calendar_EYM/UnitTest.py | yemarn510/YM_Python | train | 0 | |
59ee3e2aedfd1fdba44076c9b8763c9d042da6ad | [
"if os.environ.get('MODELICAPATH', None):\n print('Using predefined MODELICAPATH')\n self.modelica_lib_path = os.environ['MODELICAPATH']\nelse:\n self.modelica_lib_path = modelica_lib_path\nlocal_path = os.path.dirname(os.path.abspath(__file__))\nself.jmodelica_py_path = os.path.join(local_path, 'lib', 'ru... | <|body_start_0|>
if os.environ.get('MODELICAPATH', None):
print('Using predefined MODELICAPATH')
self.modelica_lib_path = os.environ['MODELICAPATH']
else:
self.modelica_lib_path = modelica_lib_path
local_path = os.path.dirname(os.path.abspath(__file__))
... | Class to run Modelica models. This is a very simple implementation of what needs to be a full CLI to run Modelica easily. At the moment, this probably only works on Linux/Mac and perhaps in Windows with Docker. For Ubuntu, here is the installation instruction: https://docs.docker.com/engine/install/ubuntu/ # TODO: test... | ModelicaRunner | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelicaRunner:
"""Class to run Modelica models. This is a very simple implementation of what needs to be a full CLI to run Modelica easily. At the moment, this probably only works on Linux/Mac and perhaps in Windows with Docker. For Ubuntu, here is the installation instruction: https://docs.dock... | stack_v2_sparse_classes_36k_train_010757 | 9,256 | permissive | [
{
"docstring": "Initialize the runner with data needed for simulation :param modelica_lib_path: string, Path to the MBL to run against",
"name": "__init__",
"signature": "def __init__(self, modelica_lib_path=None)"
},
{
"docstring": "Run the Modelica project in a docker-based environment. Result... | 4 | stack_v2_sparse_classes_30k_train_019612 | Implement the Python class `ModelicaRunner` described below.
Class description:
Class to run Modelica models. This is a very simple implementation of what needs to be a full CLI to run Modelica easily. At the moment, this probably only works on Linux/Mac and perhaps in Windows with Docker. For Ubuntu, here is the inst... | Implement the Python class `ModelicaRunner` described below.
Class description:
Class to run Modelica models. This is a very simple implementation of what needs to be a full CLI to run Modelica easily. At the moment, this probably only works on Linux/Mac and perhaps in Windows with Docker. For Ubuntu, here is the inst... | b3245ec30c172c649041c4a2bd5298fb26d90e6f | <|skeleton|>
class ModelicaRunner:
"""Class to run Modelica models. This is a very simple implementation of what needs to be a full CLI to run Modelica easily. At the moment, this probably only works on Linux/Mac and perhaps in Windows with Docker. For Ubuntu, here is the installation instruction: https://docs.dock... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ModelicaRunner:
"""Class to run Modelica models. This is a very simple implementation of what needs to be a full CLI to run Modelica easily. At the moment, this probably only works on Linux/Mac and perhaps in Windows with Docker. For Ubuntu, here is the installation instruction: https://docs.docker.com/engine... | the_stack_v2_python_sparse | geojson_modelica_translator/modelica/modelica_runner.py | ChengnanShi-Work/geojson-modelica-translator | train | 0 |
03d4af03043cb42d12fa0dcb712029948a280d2d | [
"dummy = ListNode(-1)\ndummy.next = head\nslow, fast = (dummy, dummy)\nfor i in range(n):\n fast = fast.next\nwhile fast.next:\n slow, fast = (slow.next, fast.next)\nslow.next = slow.next.next\nreturn dummy.next",
"previous, slow, fast = (None, head, head)\ncount = 0\nwhile fast:\n if count >= n:\n ... | <|body_start_0|>
dummy = ListNode(-1)
dummy.next = head
slow, fast = (dummy, dummy)
for i in range(n):
fast = fast.next
while fast.next:
slow, fast = (slow.next, fast.next)
slow.next = slow.next.next
return dummy.next
<|end_body_0|>
<|body... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_0|>
def removeNthFromEnd_v2(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_1|>
def removeNthFromEnd_array(self... | stack_v2_sparse_classes_36k_train_010758 | 2,965 | no_license | [
{
"docstring": ":type head: ListNode :type n: int :rtype: ListNode",
"name": "removeNthFromEnd",
"signature": "def removeNthFromEnd(self, head, n)"
},
{
"docstring": ":type head: ListNode :type n: int :rtype: ListNode",
"name": "removeNthFromEnd_v2",
"signature": "def removeNthFromEnd_v2... | 4 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode
- def removeNthFromEnd_v2(self, head, n): :type head: ListNode :type n: int :rtype: ListNo... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode
- def removeNthFromEnd_v2(self, head, n): :type head: ListNode :type n: int :rtype: ListNo... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_0|>
def removeNthFromEnd_v2(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_1|>
def removeNthFromEnd_array(self... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
dummy = ListNode(-1)
dummy.next = head
slow, fast = (dummy, dummy)
for i in range(n):
fast = fast.next
while fast.next:
slow, fast = (... | the_stack_v2_python_sparse | src/lt_19.py | oxhead/CodingYourWay | train | 0 | |
ef0357dfe8945837588f841b7f40f274b2fdaefe | [
"instance = self.instance_id\nif self:\n instance.connect_in_shopify()\n shopify_webhook = shopify.Webhook()\nfor record in self:\n if record.webhook_id:\n url = record.get_base_url()\n route = record.get_route()\n try:\n webhook = shopify_webhook.find(record.webhook_id)\n ... | <|body_start_0|>
instance = self.instance_id
if self:
instance.connect_in_shopify()
shopify_webhook = shopify.Webhook()
for record in self:
if record.webhook_id:
url = record.get_base_url()
route = record.get_route()
... | ShopifyWebhookEpt | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ShopifyWebhookEpt:
def unlink(self):
"""This method is used to delete record of webhook in shopify store. Delete receord from here Shopify => Configuration => Instances => Webhooks @author: Angel Patel@Emipro Technologies Pvt. Ltd."""
<|body_0|>
def deactivate_auto_create_we... | stack_v2_sparse_classes_36k_train_010759 | 6,515 | no_license | [
{
"docstring": "This method is used to delete record of webhook in shopify store. Delete receord from here Shopify => Configuration => Instances => Webhooks @author: Angel Patel@Emipro Technologies Pvt. Ltd.",
"name": "unlink",
"signature": "def unlink(self)"
},
{
"docstring": "This method is us... | 5 | stack_v2_sparse_classes_30k_train_010180 | Implement the Python class `ShopifyWebhookEpt` described below.
Class description:
Implement the ShopifyWebhookEpt class.
Method signatures and docstrings:
- def unlink(self): This method is used to delete record of webhook in shopify store. Delete receord from here Shopify => Configuration => Instances => Webhooks @... | Implement the Python class `ShopifyWebhookEpt` described below.
Class description:
Implement the ShopifyWebhookEpt class.
Method signatures and docstrings:
- def unlink(self): This method is used to delete record of webhook in shopify store. Delete receord from here Shopify => Configuration => Instances => Webhooks @... | 6b64f0dfbeae0610605de9321d736f6f09768bb3 | <|skeleton|>
class ShopifyWebhookEpt:
def unlink(self):
"""This method is used to delete record of webhook in shopify store. Delete receord from here Shopify => Configuration => Instances => Webhooks @author: Angel Patel@Emipro Technologies Pvt. Ltd."""
<|body_0|>
def deactivate_auto_create_we... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ShopifyWebhookEpt:
def unlink(self):
"""This method is used to delete record of webhook in shopify store. Delete receord from here Shopify => Configuration => Instances => Webhooks @author: Angel Patel@Emipro Technologies Pvt. Ltd."""
instance = self.instance_id
if self:
in... | the_stack_v2_python_sparse | shopify_ept/models/webhook_ept.py | marandagroup/sh_v14_addons | train | 0 | |
3dd0d8edb17023d24740181a00f06d6ec22ff317 | [
"visit_func = getattr(self, f'visit_{type(node).__name__}', None)\nif visit_func is not None:\n retval = visit_func(node)\nelse:\n retval = True\nreturn False if retval is False else True",
"leave_func = getattr(self, f'leave_{type(original_node).__name__}', None)\nif leave_func is not None:\n updated_no... | <|body_start_0|>
visit_func = getattr(self, f'visit_{type(node).__name__}', None)
if visit_func is not None:
retval = visit_func(node)
else:
retval = True
return False if retval is False else True
<|end_body_0|>
<|body_start_1|>
leave_func = getattr(self,... | The low-level base visitor class for traversing a CST and creating an updated copy of the original CST. This should be used in conjunction with the :func:`~libcst.CSTNode.visit` method on a :class:`~libcst.CSTNode` to visit each element in a tree starting with that node, and possibly returning a new node in its place. ... | CSTTransformer | [
"Python-2.0",
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CSTTransformer:
"""The low-level base visitor class for traversing a CST and creating an updated copy of the original CST. This should be used in conjunction with the :func:`~libcst.CSTNode.visit` method on a :class:`~libcst.CSTNode` to visit each element in a tree starting with that node, and po... | stack_v2_sparse_classes_36k_train_010760 | 6,835 | permissive | [
{
"docstring": "Called every time a node is visited, before we've visited its children. Returns ``True`` if children should be visited, and returns ``False`` otherwise.",
"name": "on_visit",
"signature": "def on_visit(self, node: 'CSTNode') -> bool"
},
{
"docstring": "Called every time we leave ... | 4 | stack_v2_sparse_classes_30k_train_000974 | Implement the Python class `CSTTransformer` described below.
Class description:
The low-level base visitor class for traversing a CST and creating an updated copy of the original CST. This should be used in conjunction with the :func:`~libcst.CSTNode.visit` method on a :class:`~libcst.CSTNode` to visit each element in... | Implement the Python class `CSTTransformer` described below.
Class description:
The low-level base visitor class for traversing a CST and creating an updated copy of the original CST. This should be used in conjunction with the :func:`~libcst.CSTNode.visit` method on a :class:`~libcst.CSTNode` to visit each element in... | 9286446f889f1778b8f11451a68107052b2930b3 | <|skeleton|>
class CSTTransformer:
"""The low-level base visitor class for traversing a CST and creating an updated copy of the original CST. This should be used in conjunction with the :func:`~libcst.CSTNode.visit` method on a :class:`~libcst.CSTNode` to visit each element in a tree starting with that node, and po... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CSTTransformer:
"""The low-level base visitor class for traversing a CST and creating an updated copy of the original CST. This should be used in conjunction with the :func:`~libcst.CSTNode.visit` method on a :class:`~libcst.CSTNode` to visit each element in a tree starting with that node, and possibly return... | the_stack_v2_python_sparse | libcst/_visitors.py | Instagram/LibCST | train | 1,300 |
00fb08a518628f5d661c84d48ae38d31c907aa5d | [
"super(CNN_Text, self).__init__()\nself.args = args\nVocab = args.embed_num\nDim = args.embed_dim\nCla = args.class_num\nCi = 1\nKnum = args.kernel_num\nKs = args.kernel_sizes\nself.embed = nn.Embedding(Vocab, Dim)\nself.convs = nn.ModuleList([nn.Conv2d(Ci, Knum, (K, Dim)) for K in Ks])\nself.dropout = nn.Dropout(a... | <|body_start_0|>
super(CNN_Text, self).__init__()
self.args = args
Vocab = args.embed_num
Dim = args.embed_dim
Cla = args.class_num
Ci = 1
Knum = args.kernel_num
Ks = args.kernel_sizes
self.embed = nn.Embedding(Vocab, Dim)
self.convs = nn.M... | CNN_Text | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CNN_Text:
def __init__(self, args):
"""Your code here. Define a text CNN structure. Note that args.kernel_sizes is a list, so you may need to use nn.ModuleList."""
<|body_0|>
def forward(self, x):
"""Your code here. Give the forward pass of the model. With multiple k... | stack_v2_sparse_classes_36k_train_010761 | 2,079 | no_license | [
{
"docstring": "Your code here. Define a text CNN structure. Note that args.kernel_sizes is a list, so you may need to use nn.ModuleList.",
"name": "__init__",
"signature": "def __init__(self, args)"
},
{
"docstring": "Your code here. Give the forward pass of the model. With multiple kernel size... | 2 | stack_v2_sparse_classes_30k_train_019732 | Implement the Python class `CNN_Text` described below.
Class description:
Implement the CNN_Text class.
Method signatures and docstrings:
- def __init__(self, args): Your code here. Define a text CNN structure. Note that args.kernel_sizes is a list, so you may need to use nn.ModuleList.
- def forward(self, x): Your c... | Implement the Python class `CNN_Text` described below.
Class description:
Implement the CNN_Text class.
Method signatures and docstrings:
- def __init__(self, args): Your code here. Define a text CNN structure. Note that args.kernel_sizes is a list, so you may need to use nn.ModuleList.
- def forward(self, x): Your c... | f1af0599ac8c3c8be4852472838dca775a22aa53 | <|skeleton|>
class CNN_Text:
def __init__(self, args):
"""Your code here. Define a text CNN structure. Note that args.kernel_sizes is a list, so you may need to use nn.ModuleList."""
<|body_0|>
def forward(self, x):
"""Your code here. Give the forward pass of the model. With multiple k... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CNN_Text:
def __init__(self, args):
"""Your code here. Define a text CNN structure. Note that args.kernel_sizes is a list, so you may need to use nn.ModuleList."""
super(CNN_Text, self).__init__()
self.args = args
Vocab = args.embed_num
Dim = args.embed_dim
Cla ... | the_stack_v2_python_sparse | homework5/Shiqiang/model.py | Lukeming-tsinghua/pytorch-NLP-guidance | train | 12 | |
d45c89ffa6db18c2886a8cd0a16a8ca66fa57aff | [
"session = requests.Session()\nlogin_res = session.post(url=self.TestData['login']['login_url'], data=self.TestData['login']['login_data'], headers=self.headers)\nself.assertTrue(login_res.status_code == 200)\nLogger(self.TestData['name']).Info(str(self.TestData['login']) + '\\n' + login_res.text)\nsession.close()"... | <|body_start_0|>
session = requests.Session()
login_res = session.post(url=self.TestData['login']['login_url'], data=self.TestData['login']['login_data'], headers=self.headers)
self.assertTrue(login_res.status_code == 200)
Logger(self.TestData['name']).Info(str(self.TestData['login']) + ... | 新采购系统接口测试 | PurchaseM | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PurchaseM:
"""新采购系统接口测试"""
def test1(self):
"""登录接口测试"""
<|body_0|>
def test2(self):
"""城市商品管理展示"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
session = requests.Session()
login_res = session.post(url=self.TestData['login']['login_url'... | stack_v2_sparse_classes_36k_train_010762 | 4,267 | no_license | [
{
"docstring": "登录接口测试",
"name": "test1",
"signature": "def test1(self)"
},
{
"docstring": "城市商品管理展示",
"name": "test2",
"signature": "def test2(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010538 | Implement the Python class `PurchaseM` described below.
Class description:
新采购系统接口测试
Method signatures and docstrings:
- def test1(self): 登录接口测试
- def test2(self): 城市商品管理展示 | Implement the Python class `PurchaseM` described below.
Class description:
新采购系统接口测试
Method signatures and docstrings:
- def test1(self): 登录接口测试
- def test2(self): 城市商品管理展示
<|skeleton|>
class PurchaseM:
"""新采购系统接口测试"""
def test1(self):
"""登录接口测试"""
<|body_0|>
def test2(self):
""... | c32f1686f44454ca2d32eb0a2a8258a0f5d64601 | <|skeleton|>
class PurchaseM:
"""新采购系统接口测试"""
def test1(self):
"""登录接口测试"""
<|body_0|>
def test2(self):
"""城市商品管理展示"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PurchaseM:
"""新采购系统接口测试"""
def test1(self):
"""登录接口测试"""
session = requests.Session()
login_res = session.post(url=self.TestData['login']['login_url'], data=self.TestData['login']['login_data'], headers=self.headers)
self.assertTrue(login_res.status_code == 200)
Lo... | the_stack_v2_python_sparse | pycharmProjects/System_Api/Project/purchase_management/purchaseMana.py | xiaocheng903/projects | train | 0 |
a54acbcfe9c3cbafee7e711c1d7b541651a65def | [
"if not matrix or not matrix[0]:\n return\nm, n = (len(matrix), len(matrix[0]))\nrow_ind, col_ind = (set(), set())\nfor i in xrange(m):\n for j in xrange(n):\n if not matrix[i][j]:\n row_ind.add(i)\n col_ind.add(j)\nfor i in row_ind:\n matrix[i] = [0] * n\nfor j in col_ind:\n ... | <|body_start_0|>
if not matrix or not matrix[0]:
return
m, n = (len(matrix), len(matrix[0]))
row_ind, col_ind = (set(), set())
for i in xrange(m):
for j in xrange(n):
if not matrix[i][j]:
row_ind.add(i)
col_i... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def setZeroes(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
<|body_0|>
def setZeroes2(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matri... | stack_v2_sparse_classes_36k_train_010763 | 2,424 | no_license | [
{
"docstring": ":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.",
"name": "setZeroes",
"signature": "def setZeroes(self, matrix)"
},
{
"docstring": ":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instea... | 2 | stack_v2_sparse_classes_30k_train_016882 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def setZeroes(self, matrix): :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.
- def setZeroes2(self, matrix): :type matrix: List... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def setZeroes(self, matrix): :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.
- def setZeroes2(self, matrix): :type matrix: List... | 18ed31a3edf20a3e5a0b7a0b56acca5b98939693 | <|skeleton|>
class Solution:
def setZeroes(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
<|body_0|>
def setZeroes2(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matri... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def setZeroes(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
if not matrix or not matrix[0]:
return
m, n = (len(matrix), len(matrix[0]))
row_ind, col_ind = (set(), set())
for ... | the_stack_v2_python_sparse | exercises/array/set_zeros.py | nahgnaw/data-structure | train | 0 | |
5e64c07affa1968ea878f4be27f9d4baa44c9ec0 | [
"if model == FilterRecordingTracking:\n return 'db_rest_api'\nreturn None",
"if model == FilterRecordingTracking:\n return 'db_rest_api'\nreturn None"
] | <|body_start_0|>
if model == FilterRecordingTracking:
return 'db_rest_api'
return None
<|end_body_0|>
<|body_start_1|>
if model == FilterRecordingTracking:
return 'db_rest_api'
return None
<|end_body_1|>
| CloudDBRouter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CloudDBRouter:
def db_for_read(self, model, **hints):
"""reading FilterRecordingTracking from barc-prod"""
<|body_0|>
def db_for_write(self, model, **hints):
"""writing FilterRecordingTracking to barc-prod"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_010764 | 649 | no_license | [
{
"docstring": "reading FilterRecordingTracking from barc-prod",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "writing FilterRecordingTracking to barc-prod",
"name": "db_for_write",
"signature": "def db_for_write(self, model, **hints)"
}... | 2 | stack_v2_sparse_classes_30k_train_003935 | Implement the Python class `CloudDBRouter` described below.
Class description:
Implement the CloudDBRouter class.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): reading FilterRecordingTracking from barc-prod
- def db_for_write(self, model, **hints): writing FilterRecordingTracking to barc-... | Implement the Python class `CloudDBRouter` described below.
Class description:
Implement the CloudDBRouter class.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): reading FilterRecordingTracking from barc-prod
- def db_for_write(self, model, **hints): writing FilterRecordingTracking to barc-... | d084c6146de114823f68046fd4a57fe04544a403 | <|skeleton|>
class CloudDBRouter:
def db_for_read(self, model, **hints):
"""reading FilterRecordingTracking from barc-prod"""
<|body_0|>
def db_for_write(self, model, **hints):
"""writing FilterRecordingTracking to barc-prod"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CloudDBRouter:
def db_for_read(self, model, **hints):
"""reading FilterRecordingTracking from barc-prod"""
if model == FilterRecordingTracking:
return 'db_rest_api'
return None
def db_for_write(self, model, **hints):
"""writing FilterRecordingTracking to barc-p... | the_stack_v2_python_sparse | dashboard/rest_api/dbrouters.py | teraflik/ao-tv-recording-dashboard | train | 1 | |
109a7f4b043dc9bb993cd3ba83c004b66adc1b9c | [
"plugin = NeighbourSelection()\nsite_altitude = 3.0\nnodes = np.array([[0, 4], [1, 4], [2, 4], [3, 4], [4, 4]])\ndistance = np.arange(5)\nindices = np.arange(5)\nresult = plugin.select_minimum_dz(self.region_orography, site_altitude, nodes, distance, indices)\nself.assertArrayEqual(result, nodes[0])",
"plugin = N... | <|body_start_0|>
plugin = NeighbourSelection()
site_altitude = 3.0
nodes = np.array([[0, 4], [1, 4], [2, 4], [3, 4], [4, 4]])
distance = np.arange(5)
indices = np.arange(5)
result = plugin.select_minimum_dz(self.region_orography, site_altitude, nodes, distance, indices)
... | Test extraction of the minimum height difference points from a provided array of neighbours. Note that the region orography has a series of islands at a y index of 4, changing elevation with x. As such the nodes are chosen along this line, e.g. [0, 4], [1, 4], etc. | Test_select_minimum_dz | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_select_minimum_dz:
"""Test extraction of the minimum height difference points from a provided array of neighbours. Note that the region orography has a series of islands at a y index of 4, changing elevation with x. As such the nodes are chosen along this line, e.g. [0, 4], [1, 4], etc."""
... | stack_v2_sparse_classes_36k_train_010765 | 40,371 | permissive | [
{
"docstring": "Test a simple case where the first element in the provided lists has the smallest vertical displacement to the site. Expect the coordinates of the first node to be returned.",
"name": "test_basic",
"signature": "def test_basic(self)"
},
{
"docstring": "Test a case where some node... | 4 | null | Implement the Python class `Test_select_minimum_dz` described below.
Class description:
Test extraction of the minimum height difference points from a provided array of neighbours. Note that the region orography has a series of islands at a y index of 4, changing elevation with x. As such the nodes are chosen along th... | Implement the Python class `Test_select_minimum_dz` described below.
Class description:
Test extraction of the minimum height difference points from a provided array of neighbours. Note that the region orography has a series of islands at a y index of 4, changing elevation with x. As such the nodes are chosen along th... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_select_minimum_dz:
"""Test extraction of the minimum height difference points from a provided array of neighbours. Note that the region orography has a series of islands at a y index of 4, changing elevation with x. As such the nodes are chosen along this line, e.g. [0, 4], [1, 4], etc."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test_select_minimum_dz:
"""Test extraction of the minimum height difference points from a provided array of neighbours. Note that the region orography has a series of islands at a y index of 4, changing elevation with x. As such the nodes are chosen along this line, e.g. [0, 4], [1, 4], etc."""
def test_... | the_stack_v2_python_sparse | improver_tests/spotdata/test_NeighbourSelection.py | metoppv/improver | train | 101 |
c1eb32943203889bcfdc34ffa4814b759b25094e | [
"fast = slow = chain\nwhile fast is not None and fast.next is not None:\n fast = fast.next.next\n slow = slow.next\n if fast == slow:\n return False\nreturn True",
"fast = slow = chain\nwhile fast is not None and fast.next is not None:\n fast = fast.next.next\n slow = slow.next\n if fast ... | <|body_start_0|>
fast = slow = chain
while fast is not None and fast.next is not None:
fast = fast.next.next
slow = slow.next
if fast == slow:
return False
return True
<|end_body_0|>
<|body_start_1|>
fast = slow = chain
while f... | 类似下面的思路，我们还可以让快指针一次前进两步，慢指针一次前进一步，当快指针到达链表尽头时，慢指针就处于链表的中间位置。 | Pointer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Pointer:
"""类似下面的思路，我们还可以让快指针一次前进两步，慢指针一次前进一步，当快指针到达链表尽头时，慢指针就处于链表的中间位置。"""
def has_cycle(self, chain: ChainNode) -> bool:
"""一个块指针，一个慢指针，当快慢指针相遇时，说明有环; 当块指针next为None时，说明不为环；"""
<|body_0|>
def detect_cycle(self, chain: ChainNode) -> ChainNode:
"""假设chain是环，求环开始的地... | stack_v2_sparse_classes_36k_train_010766 | 2,203 | no_license | [
{
"docstring": "一个块指针，一个慢指针，当快慢指针相遇时，说明有环; 当块指针next为None时，说明不为环；",
"name": "has_cycle",
"signature": "def has_cycle(self, chain: ChainNode) -> bool"
},
{
"docstring": "假设chain是环，求环开始的地方。 当快慢指针相遇，慢指针走了k，则块指针一定走了2k，则环的距离为k; 假设相遇点距离环起点距离为m，则head与相遇点距离为k - m，刚好从相遇点再走k - m步，刚好到达环起点",
"name": "det... | 3 | null | Implement the Python class `Pointer` described below.
Class description:
类似下面的思路，我们还可以让快指针一次前进两步，慢指针一次前进一步，当快指针到达链表尽头时，慢指针就处于链表的中间位置。
Method signatures and docstrings:
- def has_cycle(self, chain: ChainNode) -> bool: 一个块指针，一个慢指针，当快慢指针相遇时，说明有环; 当块指针next为None时，说明不为环；
- def detect_cycle(self, chain: ChainNode) -> ChainN... | Implement the Python class `Pointer` described below.
Class description:
类似下面的思路，我们还可以让快指针一次前进两步，慢指针一次前进一步，当快指针到达链表尽头时，慢指针就处于链表的中间位置。
Method signatures and docstrings:
- def has_cycle(self, chain: ChainNode) -> bool: 一个块指针，一个慢指针，当快慢指针相遇时，说明有环; 当块指针next为None时，说明不为环；
- def detect_cycle(self, chain: ChainNode) -> ChainN... | f656e605fc30917f79e9152dd2b424049280e960 | <|skeleton|>
class Pointer:
"""类似下面的思路，我们还可以让快指针一次前进两步，慢指针一次前进一步，当快指针到达链表尽头时，慢指针就处于链表的中间位置。"""
def has_cycle(self, chain: ChainNode) -> bool:
"""一个块指针，一个慢指针，当快慢指针相遇时，说明有环; 当块指针next为None时，说明不为环；"""
<|body_0|>
def detect_cycle(self, chain: ChainNode) -> ChainNode:
"""假设chain是环，求环开始的地... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Pointer:
"""类似下面的思路，我们还可以让快指针一次前进两步，慢指针一次前进一步，当快指针到达链表尽头时，慢指针就处于链表的中间位置。"""
def has_cycle(self, chain: ChainNode) -> bool:
"""一个块指针，一个慢指针，当快慢指针相遇时，说明有环; 当块指针next为None时，说明不为环；"""
fast = slow = chain
while fast is not None and fast.next is not None:
fast = fast.next.next... | the_stack_v2_python_sparse | tree/pointer.py | JustMeliyu/Algorithm | train | 0 |
1b5cc9845e549e1be584d246b375293b6d76be38 | [
"keys = self.getKeys(value)\nif len(keys) > 0:\n return keys[0]\nelse:\n return None",
"keys = []\nfor key, keyedValue in self.items():\n if keyedValue == value:\n keys.append(key)\n continue\nkeys.sort()\nreturn keys"
] | <|body_start_0|>
keys = self.getKeys(value)
if len(keys) > 0:
return keys[0]
else:
return None
<|end_body_0|>
<|body_start_1|>
keys = []
for key, keyedValue in self.items():
if keyedValue == value:
keys.append(key)
... | ValueDict | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValueDict:
def getFirstKey(self, value):
"""Return the first key that has the specified value, returns None if the value can't be found."""
<|body_0|>
def getKeys(self, value):
"""Return a sorted list of keys that have the specified value. Returns an empty list if th... | stack_v2_sparse_classes_36k_train_010767 | 733 | no_license | [
{
"docstring": "Return the first key that has the specified value, returns None if the value can't be found.",
"name": "getFirstKey",
"signature": "def getFirstKey(self, value)"
},
{
"docstring": "Return a sorted list of keys that have the specified value. Returns an empty list if the value isn'... | 2 | null | Implement the Python class `ValueDict` described below.
Class description:
Implement the ValueDict class.
Method signatures and docstrings:
- def getFirstKey(self, value): Return the first key that has the specified value, returns None if the value can't be found.
- def getKeys(self, value): Return a sorted list of k... | Implement the Python class `ValueDict` described below.
Class description:
Implement the ValueDict class.
Method signatures and docstrings:
- def getFirstKey(self, value): Return the first key that has the specified value, returns None if the value can't be found.
- def getKeys(self, value): Return a sorted list of k... | fa3e3fa061833f04d9a21fa3c29580259243841a | <|skeleton|>
class ValueDict:
def getFirstKey(self, value):
"""Return the first key that has the specified value, returns None if the value can't be found."""
<|body_0|>
def getKeys(self, value):
"""Return a sorted list of keys that have the specified value. Returns an empty list if th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ValueDict:
def getFirstKey(self, value):
"""Return the first key that has the specified value, returns None if the value can't be found."""
keys = self.getKeys(value)
if len(keys) > 0:
return keys[0]
else:
return None
def getKeys(self, value):
... | the_stack_v2_python_sparse | Server/ipl/types/ValueDict.py | shabnamparsa-stemcell/RoboSep-STest | train | 1 | |
0974239e6d6361063e1eab70da650ce93b4e09e2 | [
"self.persons = persons\nself.times = times\nself.cache = {}",
"if t in self.cache:\n return self.cache[t]\ncounter = collections.Counter()\ntickets = []\nfor i, tm in enumerate(self.times):\n if t < tm:\n break\n tickets.append(self.persons[i])\ncounter.update(tickets)\ncandidates = set()\nfor i ... | <|body_start_0|>
self.persons = persons
self.times = times
self.cache = {}
<|end_body_0|>
<|body_start_1|>
if t in self.cache:
return self.cache[t]
counter = collections.Counter()
tickets = []
for i, tm in enumerate(self.times):
if t < tm:... | TopVotedCandidate | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TopVotedCandidate:
def __init__(self, persons, times):
""":type persons: List[int] :type times: List[int]"""
<|body_0|>
def q(self, t):
""":type t: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.persons = persons
self.t... | stack_v2_sparse_classes_36k_train_010768 | 1,505 | no_license | [
{
"docstring": ":type persons: List[int] :type times: List[int]",
"name": "__init__",
"signature": "def __init__(self, persons, times)"
},
{
"docstring": ":type t: int :rtype: int",
"name": "q",
"signature": "def q(self, t)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001159 | Implement the Python class `TopVotedCandidate` described below.
Class description:
Implement the TopVotedCandidate class.
Method signatures and docstrings:
- def __init__(self, persons, times): :type persons: List[int] :type times: List[int]
- def q(self, t): :type t: int :rtype: int | Implement the Python class `TopVotedCandidate` described below.
Class description:
Implement the TopVotedCandidate class.
Method signatures and docstrings:
- def __init__(self, persons, times): :type persons: List[int] :type times: List[int]
- def q(self, t): :type t: int :rtype: int
<|skeleton|>
class TopVotedCandi... | d2cbd0aabff2f0b617d34a59b62771f6764adf95 | <|skeleton|>
class TopVotedCandidate:
def __init__(self, persons, times):
""":type persons: List[int] :type times: List[int]"""
<|body_0|>
def q(self, t):
""":type t: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TopVotedCandidate:
def __init__(self, persons, times):
""":type persons: List[int] :type times: List[int]"""
self.persons = persons
self.times = times
self.cache = {}
def q(self, t):
""":type t: int :rtype: int"""
if t in self.cache:
return self... | the_stack_v2_python_sparse | 911.在线选举.py | ChenghaoZHU/LeetCode | train | 0 | |
c00ecc88838314256947875c026edee9048581e6 | [
"self.value_stack = []\nwhile root:\n self.value_stack.append(root)\n root = root.left",
"temp_root = self.value_stack.pop()\ntemp_value = temp_root.val\ntemp_root = temp_root.right\nwhile temp_root:\n self.value_stack.append(temp_root)\n temp_root = temp_root.left\nreturn temp_value",
"if self.valu... | <|body_start_0|>
self.value_stack = []
while root:
self.value_stack.append(root)
root = root.left
<|end_body_0|>
<|body_start_1|>
temp_root = self.value_stack.pop()
temp_value = temp_root.val
temp_root = temp_root.right
while temp_root:
... | BSTIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
self.value_stack = []
... | stack_v2_sparse_classes_36k_train_010769 | 1,145 | no_license | [
{
"docstring": ":type root: TreeNode",
"name": "__init__",
"signature": "def __init__(self, root)"
},
{
"docstring": ":rtype: int",
"name": "next",
"signature": "def next(self)"
},
{
"docstring": ":rtype: bool",
"name": "hasNext",
"signature": "def hasNext(self)"
}
] | 3 | stack_v2_sparse_classes_30k_test_000638 | Implement the Python class `BSTIterator` described below.
Class description:
Implement the BSTIterator class.
Method signatures and docstrings:
- def __init__(self, root): :type root: TreeNode
- def next(self): :rtype: int
- def hasNext(self): :rtype: bool | Implement the Python class `BSTIterator` described below.
Class description:
Implement the BSTIterator class.
Method signatures and docstrings:
- def __init__(self, root): :type root: TreeNode
- def next(self): :rtype: int
- def hasNext(self): :rtype: bool
<|skeleton|>
class BSTIterator:
def __init__(self, root... | dc45210cb2cc50bfefd8c21c865e6ee2163a022a | <|skeleton|>
class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
self.value_stack = []
while root:
self.value_stack.append(root)
root = root.left
def next(self):
""":rtype: int"""
temp_root = self.value_stack.pop()
temp_value = temp... | the_stack_v2_python_sparse | practice/solution/0173_binary_search_tree_iterator.py | kesarb/leetcode-summary-python | train | 0 | |
f1c389cd1843d8d9663d5368ddf7e4f596059b8f | [
"form_data = {'title': 'Post', 'text': 'TEST POST', 'image': make_dummy_image()}\nresponse = self.client.post(reverse('blogs:post'), data=form_data)\nself.assertRedirects(response, reverse('login') + '?next=' + reverse('blogs:post'))",
"self.client.force_login(User.objects.create_user('tester', 'test@gmail.com', ... | <|body_start_0|>
form_data = {'title': 'Post', 'text': 'TEST POST', 'image': make_dummy_image()}
response = self.client.post(reverse('blogs:post'), data=form_data)
self.assertRedirects(response, reverse('login') + '?next=' + reverse('blogs:post'))
<|end_body_0|>
<|body_start_1|>
self.cl... | Tests PostCreateView | PostCreateViewTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostCreateViewTests:
"""Tests PostCreateView"""
def test_not_logged_in_post(self):
"""If the user are not authenticated, they are redirected to login page"""
<|body_0|>
def test_logged_in_post(self):
"""If the user are authenticated, they can create post and are ... | stack_v2_sparse_classes_36k_train_010770 | 16,313 | no_license | [
{
"docstring": "If the user are not authenticated, they are redirected to login page",
"name": "test_not_logged_in_post",
"signature": "def test_not_logged_in_post(self)"
},
{
"docstring": "If the user are authenticated, they can create post and are redirected to index page",
"name": "test_l... | 2 | stack_v2_sparse_classes_30k_train_012197 | Implement the Python class `PostCreateViewTests` described below.
Class description:
Tests PostCreateView
Method signatures and docstrings:
- def test_not_logged_in_post(self): If the user are not authenticated, they are redirected to login page
- def test_logged_in_post(self): If the user are authenticated, they can... | Implement the Python class `PostCreateViewTests` described below.
Class description:
Tests PostCreateView
Method signatures and docstrings:
- def test_not_logged_in_post(self): If the user are not authenticated, they are redirected to login page
- def test_logged_in_post(self): If the user are authenticated, they can... | 5c34181eb63edcf3d6cecd4e22748f30f73cf2ae | <|skeleton|>
class PostCreateViewTests:
"""Tests PostCreateView"""
def test_not_logged_in_post(self):
"""If the user are not authenticated, they are redirected to login page"""
<|body_0|>
def test_logged_in_post(self):
"""If the user are authenticated, they can create post and are ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PostCreateViewTests:
"""Tests PostCreateView"""
def test_not_logged_in_post(self):
"""If the user are not authenticated, they are redirected to login page"""
form_data = {'title': 'Post', 'text': 'TEST POST', 'image': make_dummy_image()}
response = self.client.post(reverse('blogs:... | the_stack_v2_python_sparse | blogs/tests.py | ino777/myblogapp | train | 0 |
56af4f14d7a7bc49058f75a5ffd34e3bf122239b | [
"ss = acm.FStoredScenario.Select(\"name='{0}'\".format(title))\nif len(ss) != 1:\n raise ValueError('Could not find the specified scenario.')\nself.scenario = ss[0].Scenario()",
"scen_dim = self.scenario.ExplicitDimensions()[vector_nr]\nsel_value = lambda x: str(x.Parameter('rs'))\nvec = scen_dim.ShiftVectors(... | <|body_start_0|>
ss = acm.FStoredScenario.Select("name='{0}'".format(title))
if len(ss) != 1:
raise ValueError('Could not find the specified scenario.')
self.scenario = ss[0].Scenario()
<|end_body_0|>
<|body_start_1|>
scen_dim = self.scenario.ExplicitDimensions()[vector_nr]
... | Contains methods that are related to FStoredScenario. | FScenarioUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FScenarioUtil:
"""Contains methods that are related to FStoredScenario."""
def __init__(self, title):
"""Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title"""
<|body_0|>
def get_scenario_vector_as_list(self, v... | stack_v2_sparse_classes_36k_train_010771 | 8,293 | no_license | [
{
"docstring": "Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title",
"name": "__init__",
"signature": "def __init__(self, title)"
},
{
"docstring": "Returns the tuple (title, values) with the vector title and the vector items values",... | 2 | stack_v2_sparse_classes_30k_train_004458 | Implement the Python class `FScenarioUtil` described below.
Class description:
Contains methods that are related to FStoredScenario.
Method signatures and docstrings:
- def __init__(self, title): Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title
- def get... | Implement the Python class `FScenarioUtil` described below.
Class description:
Contains methods that are related to FStoredScenario.
Method signatures and docstrings:
- def __init__(self, title): Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title
- def get... | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | <|skeleton|>
class FScenarioUtil:
"""Contains methods that are related to FStoredScenario."""
def __init__(self, title):
"""Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title"""
<|body_0|>
def get_scenario_vector_as_list(self, v... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FScenarioUtil:
"""Contains methods that are related to FStoredScenario."""
def __init__(self, title):
"""Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title"""
ss = acm.FStoredScenario.Select("name='{0}'".format(title))
... | the_stack_v2_python_sparse | Python modules/RiskMatrixViewSimpleReport.py | webclinic017/fa-absa-py3 | train | 0 |
d4d543ba40731f99c1e403d817fb5599e73eb0e6 | [
"self.seed = [13579, 34628, 2888, 11111, 67917]\nself.dim = 6\nself.test_order = 5",
"for s in self.seed:\n seed(s)\n x = rand(self.dim, self.dim)\n y = rand(self.dim, self.dim)\n z = rand(self.dim, self.dim)\n test = bch_expand(x, y, order=self.test_order)\n baseline = bch_expand_baseline(x, y,... | <|body_start_0|>
self.seed = [13579, 34628, 2888, 11111, 67917]
self.dim = 6
self.test_order = 5
<|end_body_0|>
<|body_start_1|>
for s in self.seed:
seed(s)
x = rand(self.dim, self.dim)
y = rand(self.dim, self.dim)
z = rand(self.dim, self.... | BCHTest | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BCHTest:
def setUp(self):
"""Initialize a few density matrices"""
<|body_0|>
def test_bch(self):
"""Test efficient bch expansion against hard-coded baseline coefficients"""
<|body_1|>
def test_verification(self):
"""Verify basic sanity checking o... | stack_v2_sparse_classes_36k_train_010772 | 4,231 | permissive | [
{
"docstring": "Initialize a few density matrices",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test efficient bch expansion against hard-coded baseline coefficients",
"name": "test_bch",
"signature": "def test_bch(self)"
},
{
"docstring": "Verify basic san... | 3 | stack_v2_sparse_classes_30k_train_019027 | Implement the Python class `BCHTest` described below.
Class description:
Implement the BCHTest class.
Method signatures and docstrings:
- def setUp(self): Initialize a few density matrices
- def test_bch(self): Test efficient bch expansion against hard-coded baseline coefficients
- def test_verification(self): Verify... | Implement the Python class `BCHTest` described below.
Class description:
Implement the BCHTest class.
Method signatures and docstrings:
- def setUp(self): Initialize a few density matrices
- def test_bch(self): Test efficient bch expansion against hard-coded baseline coefficients
- def test_verification(self): Verify... | 788481753c798a72c5cb3aa9f2aa9da3ce3190b0 | <|skeleton|>
class BCHTest:
def setUp(self):
"""Initialize a few density matrices"""
<|body_0|>
def test_bch(self):
"""Test efficient bch expansion against hard-coded baseline coefficients"""
<|body_1|>
def test_verification(self):
"""Verify basic sanity checking o... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BCHTest:
def setUp(self):
"""Initialize a few density matrices"""
self.seed = [13579, 34628, 2888, 11111, 67917]
self.dim = 6
self.test_order = 5
def test_bch(self):
"""Test efficient bch expansion against hard-coded baseline coefficients"""
for s in self.s... | the_stack_v2_python_sparse | src/openfermion/utils/bch_expansion_test.py | quantumlib/OpenFermion | train | 1,481 | |
ad4113e2e9574e8455576a20da154d01898ee567 | [
"scale_fac = self._get_stress_drop_scaling_factor(rup.mag)\nmean = self._get_mean(sites.vs30, rup.mag, dists.rrup, imt, scale_fac)\nstddevs = self._get_stddevs(stddev_types, num_sites=sites.vs30.size)\nreturn (mean, stddevs)",
"stress_drop = 10.0 ** (3.45 - 0.2 * magnitude)\ncap = 10.0 ** (3.45 - 0.2 * 5.0)\nif s... | <|body_start_0|>
scale_fac = self._get_stress_drop_scaling_factor(rup.mag)
mean = self._get_mean(sites.vs30, rup.mag, dists.rrup, imt, scale_fac)
stddevs = self._get_stddevs(stddev_types, num_sites=sites.vs30.size)
return (mean, stddevs)
<|end_body_0|>
<|body_start_1|>
stress_dr... | This GMPE modifies the original implementation of :class: `AtkinsonBoore2006` with the magnitude dependent stress-drop scaling factor proposed in Atkinson & Boore (2011) Atkinson, G. A. and Boore D. M. (2011) Modifications to Existing Ground-Motion Prediciton Equations in Light of New Data. Bulletin of the Seismologica... | AtkinsonBoore2006Modified2011 | [
"AGPL-3.0-only",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AtkinsonBoore2006Modified2011:
"""This GMPE modifies the original implementation of :class: `AtkinsonBoore2006` with the magnitude dependent stress-drop scaling factor proposed in Atkinson & Boore (2011) Atkinson, G. A. and Boore D. M. (2011) Modifications to Existing Ground-Motion Prediciton Equ... | stack_v2_sparse_classes_36k_train_010773 | 25,097 | permissive | [
{
"docstring": "See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values.",
"name": "get_mean_and_stddevs",
"signature": "def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types)"
},
{
"docstring": "Returns the magnitu... | 2 | null | Implement the Python class `AtkinsonBoore2006Modified2011` described below.
Class description:
This GMPE modifies the original implementation of :class: `AtkinsonBoore2006` with the magnitude dependent stress-drop scaling factor proposed in Atkinson & Boore (2011) Atkinson, G. A. and Boore D. M. (2011) Modifications t... | Implement the Python class `AtkinsonBoore2006Modified2011` described below.
Class description:
This GMPE modifies the original implementation of :class: `AtkinsonBoore2006` with the magnitude dependent stress-drop scaling factor proposed in Atkinson & Boore (2011) Atkinson, G. A. and Boore D. M. (2011) Modifications t... | 0da9ba5a575360081715e8b90c71d4b16c6687c8 | <|skeleton|>
class AtkinsonBoore2006Modified2011:
"""This GMPE modifies the original implementation of :class: `AtkinsonBoore2006` with the magnitude dependent stress-drop scaling factor proposed in Atkinson & Boore (2011) Atkinson, G. A. and Boore D. M. (2011) Modifications to Existing Ground-Motion Prediciton Equ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AtkinsonBoore2006Modified2011:
"""This GMPE modifies the original implementation of :class: `AtkinsonBoore2006` with the magnitude dependent stress-drop scaling factor proposed in Atkinson & Boore (2011) Atkinson, G. A. and Boore D. M. (2011) Modifications to Existing Ground-Motion Prediciton Equations in Lig... | the_stack_v2_python_sparse | openquake/hazardlib/gsim/atkinson_boore_2006.py | GFZ-Centre-for-Early-Warning/shakyground | train | 1 |
3fe4955dd4a1f00935f929893e4848b52c046aae | [
"lookup_a = HostLookup()\nlookup_a.add_node('nodename', 'hostname')\nlookup_b = HostLookup()\nself.assertEquals(lookup_a.get_host('nodename'), lookup_b.get_host('nodename'))",
"lookup = HostLookup()\nfor x in range(1, 3):\n rstat = RatedStatistics()\n rstat.host = 'host1'\n rstat.seuid = 'n%s%s%d' % (SEU... | <|body_start_0|>
lookup_a = HostLookup()
lookup_a.add_node('nodename', 'hostname')
lookup_b = HostLookup()
self.assertEquals(lookup_a.get_host('nodename'), lookup_b.get_host('nodename'))
<|end_body_0|>
<|body_start_1|>
lookup = HostLookup()
for x in range(1, 3):
... | TestHostLookup | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestHostLookup:
def test_singleton(self):
"""Test if the singleton is working properly."""
<|body_0|>
def test_callback_easy(self):
"""Test if a called callback adds the node - host to the dict."""
<|body_1|>
def test_get_node_list(self):
"""Test... | stack_v2_sparse_classes_36k_train_010774 | 1,553 | permissive | [
{
"docstring": "Test if the singleton is working properly.",
"name": "test_singleton",
"signature": "def test_singleton(self)"
},
{
"docstring": "Test if a called callback adds the node - host to the dict.",
"name": "test_callback_easy",
"signature": "def test_callback_easy(self)"
},
... | 3 | null | Implement the Python class `TestHostLookup` described below.
Class description:
Implement the TestHostLookup class.
Method signatures and docstrings:
- def test_singleton(self): Test if the singleton is working properly.
- def test_callback_easy(self): Test if a called callback adds the node - host to the dict.
- def... | Implement the Python class `TestHostLookup` described below.
Class description:
Implement the TestHostLookup class.
Method signatures and docstrings:
- def test_singleton(self): Test if the singleton is working properly.
- def test_callback_easy(self): Test if a called callback adds the node - host to the dict.
- def... | 6a934f25341fa4e49afb0c18aac8767db32ba177 | <|skeleton|>
class TestHostLookup:
def test_singleton(self):
"""Test if the singleton is working properly."""
<|body_0|>
def test_callback_easy(self):
"""Test if a called callback adds the node - host to the dict."""
<|body_1|>
def test_get_node_list(self):
"""Test... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestHostLookup:
def test_singleton(self):
"""Test if the singleton is working properly."""
lookup_a = HostLookup()
lookup_a.add_node('nodename', 'hostname')
lookup_b = HostLookup()
self.assertEquals(lookup_a.get_host('nodename'), lookup_b.get_host('nodename'))
def ... | the_stack_v2_python_sparse | arni_core/src/arni_core/test_host_lookup.py | ROS-PSE/arni | train | 16 | |
20181cde79aed270068f202a65271e2e59b72b92 | [
"for menu in self:\n if menu.item_with_command(cmd):\n return menu\nreturn None",
"for menu in self:\n item = menu.item_with_command(cmd)\n if item:\n return item\nreturn None"
] | <|body_start_0|>
for menu in self:
if menu.item_with_command(cmd):
return menu
return None
<|end_body_0|>
<|body_start_1|>
for menu in self:
item = menu.item_with_command(cmd)
if item:
return item
return None
<|end_body... | A MenuList is a sequence of Menus with methods for finding menus and menu items by command. | MenuList | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MenuList:
"""A MenuList is a sequence of Menus with methods for finding menus and menu items by command."""
def menu_with_command(self, cmd):
"""Returns the menu containing the given command, or None if there is no such menu in the list."""
<|body_0|>
def item_with_comma... | stack_v2_sparse_classes_36k_train_010775 | 660 | permissive | [
{
"docstring": "Returns the menu containing the given command, or None if there is no such menu in the list.",
"name": "menu_with_command",
"signature": "def menu_with_command(self, cmd)"
},
{
"docstring": "Returns the menu item having the given command, or None if there is no such item.",
"... | 2 | stack_v2_sparse_classes_30k_train_018670 | Implement the Python class `MenuList` described below.
Class description:
A MenuList is a sequence of Menus with methods for finding menus and menu items by command.
Method signatures and docstrings:
- def menu_with_command(self, cmd): Returns the menu containing the given command, or None if there is no such menu in... | Implement the Python class `MenuList` described below.
Class description:
A MenuList is a sequence of Menus with methods for finding menus and menu items by command.
Method signatures and docstrings:
- def menu_with_command(self, cmd): Returns the menu containing the given command, or None if there is no such menu in... | 58c6c38ccb8e66acdf98dea6b24bef1d9a03147c | <|skeleton|>
class MenuList:
"""A MenuList is a sequence of Menus with methods for finding menus and menu items by command."""
def menu_with_command(self, cmd):
"""Returns the menu containing the given command, or None if there is no such menu in the list."""
<|body_0|>
def item_with_comma... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MenuList:
"""A MenuList is a sequence of Menus with methods for finding menus and menu items by command."""
def menu_with_command(self, cmd):
"""Returns the menu containing the given command, or None if there is no such menu in the list."""
for menu in self:
if menu.item_with_... | the_stack_v2_python_sparse | GUI/Generic/MenuList.py | coldmax88/PyGUI | train | 0 |
536188c0dfcd7109cbf376aa0e73d7efecd59d64 | [
"create_patient()\nc = Client()\nc.login(email='test_patient@gmail.com', password='12345pas')\nresponse = c.get(reverse('patient:index'))\nself.assertEqual(response.status_code, 200)\nself.assertContains(response, 'Your Monthly Calendar')",
"patient = create_patient()\nname = 'Appointment'\ndate = datetime.date.t... | <|body_start_0|>
create_patient()
c = Client()
c.login(email='test_patient@gmail.com', password='12345pas')
response = c.get(reverse('patient:index'))
self.assertEqual(response.status_code, 200)
self.assertContains(response, 'Your Monthly Calendar')
<|end_body_0|>
<|body... | CalendarViewTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CalendarViewTests:
def test_index_view_with_no_events(self):
"""If no events exist, just check for default calendar view."""
<|body_0|>
def test_index_view_with_one_event(self):
"""If one event exists, check if it is displayed."""
<|body_1|>
<|end_skeleton|>... | stack_v2_sparse_classes_36k_train_010776 | 2,187 | no_license | [
{
"docstring": "If no events exist, just check for default calendar view.",
"name": "test_index_view_with_no_events",
"signature": "def test_index_view_with_no_events(self)"
},
{
"docstring": "If one event exists, check if it is displayed.",
"name": "test_index_view_with_one_event",
"sig... | 2 | stack_v2_sparse_classes_30k_train_001086 | Implement the Python class `CalendarViewTests` described below.
Class description:
Implement the CalendarViewTests class.
Method signatures and docstrings:
- def test_index_view_with_no_events(self): If no events exist, just check for default calendar view.
- def test_index_view_with_one_event(self): If one event exi... | Implement the Python class `CalendarViewTests` described below.
Class description:
Implement the CalendarViewTests class.
Method signatures and docstrings:
- def test_index_view_with_no_events(self): If no events exist, just check for default calendar view.
- def test_index_view_with_one_event(self): If one event exi... | e48c753cc9f479e0e51e31d739f8fffb329299ed | <|skeleton|>
class CalendarViewTests:
def test_index_view_with_no_events(self):
"""If no events exist, just check for default calendar view."""
<|body_0|>
def test_index_view_with_one_event(self):
"""If one event exists, check if it is displayed."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CalendarViewTests:
def test_index_view_with_no_events(self):
"""If no events exist, just check for default calendar view."""
create_patient()
c = Client()
c.login(email='test_patient@gmail.com', password='12345pas')
response = c.get(reverse('patient:index'))
sel... | the_stack_v2_python_sparse | patient_homepage/tests.py | ayanaadylova/HealthNet | train | 0 | |
3e53ebba10be2b2c70c9d2efc190f5cef9dd8aca | [
"mycursor = self.db.connection.cursor()\nsql = '\\n INSERT INTO Product (name_product, category_fk, store, nutriscore, link)\\n VALUES (%(name_product)s, (SELECT id FROM Category WHERE name_cat=%(name_cat)s), %(store)s, %(nutriscore)s, %(link)s)\\n '\nfor product in products:\n mycursor.exec... | <|body_start_0|>
mycursor = self.db.connection.cursor()
sql = '\n INSERT INTO Product (name_product, category_fk, store, nutriscore, link)\n VALUES (%(name_product)s, (SELECT id FROM Category WHERE name_cat=%(name_cat)s), %(store)s, %(nutriscore)s, %(link)s)\n '
for product ... | Manage the products in the SQL database | ProductManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductManager:
"""Manage the products in the SQL database"""
def insert_product(self, products):
"""Inserts all the products into the SQL Product table"""
<|body_0|>
def fetch_all_products(self, category):
"""Fetch all the products from the SQL Product table so ... | stack_v2_sparse_classes_36k_train_010777 | 7,181 | no_license | [
{
"docstring": "Inserts all the products into the SQL Product table",
"name": "insert_product",
"signature": "def insert_product(self, products)"
},
{
"docstring": "Fetch all the products from the SQL Product table so that the controllers can call them",
"name": "fetch_all_products",
"si... | 4 | stack_v2_sparse_classes_30k_train_004579 | Implement the Python class `ProductManager` described below.
Class description:
Manage the products in the SQL database
Method signatures and docstrings:
- def insert_product(self, products): Inserts all the products into the SQL Product table
- def fetch_all_products(self, category): Fetch all the products from the ... | Implement the Python class `ProductManager` described below.
Class description:
Manage the products in the SQL database
Method signatures and docstrings:
- def insert_product(self, products): Inserts all the products into the SQL Product table
- def fetch_all_products(self, category): Fetch all the products from the ... | 8b1ae1ed03d2274e85b8a38c39ebfcf354857e42 | <|skeleton|>
class ProductManager:
"""Manage the products in the SQL database"""
def insert_product(self, products):
"""Inserts all the products into the SQL Product table"""
<|body_0|>
def fetch_all_products(self, category):
"""Fetch all the products from the SQL Product table so ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProductManager:
"""Manage the products in the SQL database"""
def insert_product(self, products):
"""Inserts all the products into the SQL Product table"""
mycursor = self.db.connection.cursor()
sql = '\n INSERT INTO Product (name_product, category_fk, store, nutriscore, li... | the_stack_v2_python_sparse | core/managers.py | bientavu/openfoodfacts | train | 0 |
6fde82cef390e617af7283ccd0d77bbf7f5c5440 | [
"Writter.event('delete task n°{} and subtasks linked'.format(self.id))\ntry:\n data = {'id': self.id, 'node_id': self.id}\n sql_query = 'DELETE FROM {} WHERE id = :id OR node_id = :node_id'.format(self.table_name)\n self.database.cursor_execute(sql_query, data)\n self.database.connection.commit()\n r... | <|body_start_0|>
Writter.event('delete task n°{} and subtasks linked'.format(self.id))
try:
data = {'id': self.id, 'node_id': self.id}
sql_query = 'DELETE FROM {} WHERE id = :id OR node_id = :node_id'.format(self.table_name)
self.database.cursor_execute(sql_query, dat... | Task | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Task:
def delete(self):
"""delete task and also subtasks"""
<|body_0|>
def subtasks(self):
"""return all subtasks linked to this task"""
<|body_1|>
def worktimes(self):
"""generator wortimes"""
<|body_2|>
def spended_time(self):
... | stack_v2_sparse_classes_36k_train_010778 | 1,605 | permissive | [
{
"docstring": "delete task and also subtasks",
"name": "delete",
"signature": "def delete(self)"
},
{
"docstring": "return all subtasks linked to this task",
"name": "subtasks",
"signature": "def subtasks(self)"
},
{
"docstring": "generator wortimes",
"name": "worktimes",
... | 4 | stack_v2_sparse_classes_30k_train_017303 | Implement the Python class `Task` described below.
Class description:
Implement the Task class.
Method signatures and docstrings:
- def delete(self): delete task and also subtasks
- def subtasks(self): return all subtasks linked to this task
- def worktimes(self): generator wortimes
- def spended_time(self): return t... | Implement the Python class `Task` described below.
Class description:
Implement the Task class.
Method signatures and docstrings:
- def delete(self): delete task and also subtasks
- def subtasks(self): return all subtasks linked to this task
- def worktimes(self): generator wortimes
- def spended_time(self): return t... | 34cbdcde3bcdf2942a4f62077406e08ccd9c1ed7 | <|skeleton|>
class Task:
def delete(self):
"""delete task and also subtasks"""
<|body_0|>
def subtasks(self):
"""return all subtasks linked to this task"""
<|body_1|>
def worktimes(self):
"""generator wortimes"""
<|body_2|>
def spended_time(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Task:
def delete(self):
"""delete task and also subtasks"""
Writter.event('delete task n°{} and subtasks linked'.format(self.id))
try:
data = {'id': self.id, 'node_id': self.id}
sql_query = 'DELETE FROM {} WHERE id = :id OR node_id = :node_id'.format(self.table_... | the_stack_v2_python_sparse | classes/task.py | madeindjs/pomodore_manager | train | 1 | |
3610fa11406aab74feba6b034e76e404bb00c387 | [
"self._params = Parameters()\nfor path, param in network.get_variables().items():\n self._params.add(path + '_velocity', numpy.zeros_like(param.get_value()))\nif 'momentum' not in optimization_options:\n raise ValueError('Momentum is not given in optimization options.')\nself._momentum = optimization_options[... | <|body_start_0|>
self._params = Parameters()
for path, param in network.get_variables().items():
self._params.add(path + '_velocity', numpy.zeros_like(param.get_value()))
if 'momentum' not in optimization_options:
raise ValueError('Momentum is not given in optimization op... | Nesterov Momentum Optimization Method Normally Nesterov momentum is implemented by first taking a step towards the previous update direction, calculating gradient at that position, using the gradient to obtain the new update direction, and finally updating the parameters. We use an alternative formulation that requires... | NesterovOptimizer | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NesterovOptimizer:
"""Nesterov Momentum Optimization Method Normally Nesterov momentum is implemented by first taking a step towards the previous update direction, calculating gradient at that position, using the gradient to obtain the new update direction, and finally updating the parameters. We... | stack_v2_sparse_classes_36k_train_010779 | 2,905 | permissive | [
{
"docstring": "Creates a Nesterov momentum optimizer. Nesterov momentum optimizer does not use additional parameters. :type optimization_options: dict :param optimization_options: a dictionary of optimization options :type network: Network :param network: the neural network object",
"name": "__init__",
... | 2 | stack_v2_sparse_classes_30k_train_000119 | Implement the Python class `NesterovOptimizer` described below.
Class description:
Nesterov Momentum Optimization Method Normally Nesterov momentum is implemented by first taking a step towards the previous update direction, calculating gradient at that position, using the gradient to obtain the new update direction, ... | Implement the Python class `NesterovOptimizer` described below.
Class description:
Nesterov Momentum Optimization Method Normally Nesterov momentum is implemented by first taking a step towards the previous update direction, calculating gradient at that position, using the gradient to obtain the new update direction, ... | 9904faec19ad5718470f21927229aad2656e5686 | <|skeleton|>
class NesterovOptimizer:
"""Nesterov Momentum Optimization Method Normally Nesterov momentum is implemented by first taking a step towards the previous update direction, calculating gradient at that position, using the gradient to obtain the new update direction, and finally updating the parameters. We... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NesterovOptimizer:
"""Nesterov Momentum Optimization Method Normally Nesterov momentum is implemented by first taking a step towards the previous update direction, calculating gradient at that position, using the gradient to obtain the new update direction, and finally updating the parameters. We use an alter... | the_stack_v2_python_sparse | theanolm/training/nesterovoptimizer.py | senarvi/theanolm | train | 95 |
28a8684efcf8e1625e30daab248736b20fca0d9d | [
"assert callable(callback)\ncallbacks = cls.callbacks.setdefault(key, [])\nif callback in callbacks and (not append):\n logger.debug('%r is already a registered callback for %r', callback, key)\n return\ncallbacks.append(callback)\nlogger.debug('Registered callback %r for %r', callback, key)",
"results = cl... | <|body_start_0|>
assert callable(callback)
callbacks = cls.callbacks.setdefault(key, [])
if callback in callbacks and (not append):
logger.debug('%r is already a registered callback for %r', callback, key)
return
callbacks.append(callback)
logger.debug('Re... | Subclass of :class:`.LoggingDictionary` that provides the ability to run a function when a value is changed. | ConfigurationWithCallbacks | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigurationWithCallbacks:
"""Subclass of :class:`.LoggingDictionary` that provides the ability to run a function when a value is changed."""
def register_callback(cls, key, callback, append=False):
"""Register a function as a callback for ``key``. When ``key`` is set the given ``ca... | stack_v2_sparse_classes_36k_train_010780 | 11,654 | permissive | [
{
"docstring": "Register a function as a callback for ``key``. When ``key`` is set the given ``callback`` will be run by :meth:`.changed` :param string key: the key which when changed in any way will execute ``callback`` :param callable callback: the function or method to register :param boolean append: by defa... | 4 | stack_v2_sparse_classes_30k_train_002194 | Implement the Python class `ConfigurationWithCallbacks` described below.
Class description:
Subclass of :class:`.LoggingDictionary` that provides the ability to run a function when a value is changed.
Method signatures and docstrings:
- def register_callback(cls, key, callback, append=False): Register a function as a... | Implement the Python class `ConfigurationWithCallbacks` described below.
Class description:
Subclass of :class:`.LoggingDictionary` that provides the ability to run a function when a value is changed.
Method signatures and docstrings:
- def register_callback(cls, key, callback, append=False): Register a function as a... | aa87504ab8679db0ed8da4818729b8e5fc1c0ecb | <|skeleton|>
class ConfigurationWithCallbacks:
"""Subclass of :class:`.LoggingDictionary` that provides the ability to run a function when a value is changed."""
def register_callback(cls, key, callback, append=False):
"""Register a function as a callback for ``key``. When ``key`` is set the given ``ca... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConfigurationWithCallbacks:
"""Subclass of :class:`.LoggingDictionary` that provides the ability to run a function when a value is changed."""
def register_callback(cls, key, callback, append=False):
"""Register a function as a callback for ``key``. When ``key`` is set the given ``callback`` will... | the_stack_v2_python_sparse | pyfarm/agent/config.py | pyfarm/pyfarm-agent | train | 1 |
6d9229cbfed24dd11c7fbe064e52d7df8d9f631b | [
"project.users.add(request.user)\nlog.info('Project imported.', project_slug=project.slug, user_username=request.user.username)\nproject_import.send(sender=project, request=request)\nself.trigger_initial_build(project, request.user)",
"update_docs, build = prepare_build(project)\nif (update_docs, build) == (None,... | <|body_start_0|>
project.users.add(request.user)
log.info('Project imported.', project_slug=project.slug, user_username=request.user.username)
project_import.send(sender=project, request=request)
self.trigger_initial_build(project, request.user)
<|end_body_0|>
<|body_start_1|>
u... | Helpers to import a Project. | ProjectImportMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectImportMixin:
"""Helpers to import a Project."""
def finish_import_project(self, request, project):
"""Perform last steps to import a project into Read the Docs. - Add the user from request as maintainer - Send Django Signal - Trigger initial build It requires the Project was a... | stack_v2_sparse_classes_36k_train_010781 | 4,573 | permissive | [
{
"docstring": "Perform last steps to import a project into Read the Docs. - Add the user from request as maintainer - Send Django Signal - Trigger initial build It requires the Project was already saved into the DB. :param request: Django Request object :param project: Project instance just imported (already s... | 2 | null | Implement the Python class `ProjectImportMixin` described below.
Class description:
Helpers to import a Project.
Method signatures and docstrings:
- def finish_import_project(self, request, project): Perform last steps to import a project into Read the Docs. - Add the user from request as maintainer - Send Django Sig... | Implement the Python class `ProjectImportMixin` described below.
Class description:
Helpers to import a Project.
Method signatures and docstrings:
- def finish_import_project(self, request, project): Perform last steps to import a project into Read the Docs. - Add the user from request as maintainer - Send Django Sig... | bf88ce6d1085d922322a5fadce63a22c5544c830 | <|skeleton|>
class ProjectImportMixin:
"""Helpers to import a Project."""
def finish_import_project(self, request, project):
"""Perform last steps to import a project into Read the Docs. - Add the user from request as maintainer - Send Django Signal - Trigger initial build It requires the Project was a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProjectImportMixin:
"""Helpers to import a Project."""
def finish_import_project(self, request, project):
"""Perform last steps to import a project into Read the Docs. - Add the user from request as maintainer - Send Django Signal - Trigger initial build It requires the Project was already saved ... | the_stack_v2_python_sparse | readthedocs/projects/views/mixins.py | readthedocs/readthedocs.org | train | 2,894 |
c23397f2914ab04a067047951db39e1107b1a4e7 | [
"address_distribution = AddressDistribution(date=Date, receive_only_per=ReceiveOnlyPer, send_receive_per=SendReceivePer)\ndb_session.add(address_distribution)\ntry:\n db_session.commit()\n response = {'ResponseCode': ResponseCodes.Success.value, 'ResponseDesc': ResponseCodes.Success.name, 'AddressDistribution... | <|body_start_0|>
address_distribution = AddressDistribution(date=Date, receive_only_per=ReceiveOnlyPer, send_receive_per=SendReceivePer)
db_session.add(address_distribution)
try:
db_session.commit()
response = {'ResponseCode': ResponseCodes.Success.value, 'ResponseDesc': ... | Class implementing address distribution by date | AddressDistributionByDateEndpoint | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddressDistributionByDateEndpoint:
"""Class implementing address distribution by date"""
def post(self, Date, ReceiveOnlyPer=None, SendReceivePer=None):
"""Method for POST request :param Date: :param ReceiveOnlyPer: :param SendReceivePer:"""
<|body_0|>
def get(self, Date... | stack_v2_sparse_classes_36k_train_010782 | 3,932 | no_license | [
{
"docstring": "Method for POST request :param Date: :param ReceiveOnlyPer: :param SendReceivePer:",
"name": "post",
"signature": "def post(self, Date, ReceiveOnlyPer=None, SendReceivePer=None)"
},
{
"docstring": "Method for GET request :param Date:",
"name": "get",
"signature": "def get... | 3 | stack_v2_sparse_classes_30k_train_021468 | Implement the Python class `AddressDistributionByDateEndpoint` described below.
Class description:
Class implementing address distribution by date
Method signatures and docstrings:
- def post(self, Date, ReceiveOnlyPer=None, SendReceivePer=None): Method for POST request :param Date: :param ReceiveOnlyPer: :param Send... | Implement the Python class `AddressDistributionByDateEndpoint` described below.
Class description:
Class implementing address distribution by date
Method signatures and docstrings:
- def post(self, Date, ReceiveOnlyPer=None, SendReceivePer=None): Method for POST request :param Date: :param ReceiveOnlyPer: :param Send... | 83a7000c4aa8020481771c0956a9918a335fc2f5 | <|skeleton|>
class AddressDistributionByDateEndpoint:
"""Class implementing address distribution by date"""
def post(self, Date, ReceiveOnlyPer=None, SendReceivePer=None):
"""Method for POST request :param Date: :param ReceiveOnlyPer: :param SendReceivePer:"""
<|body_0|>
def get(self, Date... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddressDistributionByDateEndpoint:
"""Class implementing address distribution by date"""
def post(self, Date, ReceiveOnlyPer=None, SendReceivePer=None):
"""Method for POST request :param Date: :param ReceiveOnlyPer: :param SendReceivePer:"""
address_distribution = AddressDistribution(date... | the_stack_v2_python_sparse | foundations/bitcoin_api/resources/graph/address_distribution.py | tskiranmayee/Blockchain-Analysis-Project | train | 0 |
9864549a87e2b6b199a7130cc4f3cfb27647a201 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UnifiedRoleManagementPolicyAssignment()",
"from .entity import Entity\nfrom .unified_role_management_policy import UnifiedRoleManagementPolicy\nfrom .entity import Entity\nfrom .unified_role_management_policy import UnifiedRoleManageme... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UnifiedRoleManagementPolicyAssignment()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .unified_role_management_policy import UnifiedRoleManagementPolicy
from .e... | UnifiedRoleManagementPolicyAssignment | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnifiedRoleManagementPolicyAssignment:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicyAssignment:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the d... | stack_v2_sparse_classes_36k_train_010783 | 3,619 | 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: UnifiedRoleManagementPolicyAssignment",
"name": "create_from_discriminator_value",
"signature": "def create_... | 3 | null | Implement the Python class `UnifiedRoleManagementPolicyAssignment` described below.
Class description:
Implement the UnifiedRoleManagementPolicyAssignment class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicyAssignment: Crea... | Implement the Python class `UnifiedRoleManagementPolicyAssignment` described below.
Class description:
Implement the UnifiedRoleManagementPolicyAssignment class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicyAssignment: Crea... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UnifiedRoleManagementPolicyAssignment:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicyAssignment:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UnifiedRoleManagementPolicyAssignment:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleManagementPolicyAssignment:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator v... | the_stack_v2_python_sparse | msgraph/generated/models/unified_role_management_policy_assignment.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
6c7b92d711a3149db2cf5a313b492ffda70a088a | [
"super().__init__(**kwargs)\nself.prediction_length = prediction_length\nself.context_length = context_length\nself.cardinality = cardinality\nself.kernel_output = kernel_output\nself.params_scaling = params_scaling\nself.float_type = float_type\nself.max_iter_jitter = max_iter_jitter\nself.jitter_method = jitter_m... | <|body_start_0|>
super().__init__(**kwargs)
self.prediction_length = prediction_length
self.context_length = context_length
self.cardinality = cardinality
self.kernel_output = kernel_output
self.params_scaling = params_scaling
self.float_type = float_type
... | Defines a Gluon block used for GP training and predictions. | GaussianProcessNetworkBase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GaussianProcessNetworkBase:
"""Defines a Gluon block used for GP training and predictions."""
def __init__(self, prediction_length: int, context_length: int, cardinality: int, kernel_output: KernelOutputDict, params_scaling: bool, float_type: DType, max_iter_jitter: int, jitter_method: str, ... | stack_v2_sparse_classes_36k_train_010784 | 9,486 | permissive | [
{
"docstring": "Parameters ---------- prediction_length Prediction length. context_length Training length. cardinality Number of time series. kernel_output KernelOutput instance to determine which kernel subclass to be instantiated. params_scaling Determines whether or not to scale the model parameters. float_t... | 2 | stack_v2_sparse_classes_30k_train_019467 | Implement the Python class `GaussianProcessNetworkBase` described below.
Class description:
Defines a Gluon block used for GP training and predictions.
Method signatures and docstrings:
- def __init__(self, prediction_length: int, context_length: int, cardinality: int, kernel_output: KernelOutputDict, params_scaling:... | Implement the Python class `GaussianProcessNetworkBase` described below.
Class description:
Defines a Gluon block used for GP training and predictions.
Method signatures and docstrings:
- def __init__(self, prediction_length: int, context_length: int, cardinality: int, kernel_output: KernelOutputDict, params_scaling:... | df4256b0e67120db555c109a1bf6cfa2b3bd3cd8 | <|skeleton|>
class GaussianProcessNetworkBase:
"""Defines a Gluon block used for GP training and predictions."""
def __init__(self, prediction_length: int, context_length: int, cardinality: int, kernel_output: KernelOutputDict, params_scaling: bool, float_type: DType, max_iter_jitter: int, jitter_method: str, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GaussianProcessNetworkBase:
"""Defines a Gluon block used for GP training and predictions."""
def __init__(self, prediction_length: int, context_length: int, cardinality: int, kernel_output: KernelOutputDict, params_scaling: bool, float_type: DType, max_iter_jitter: int, jitter_method: str, **kwargs) -> ... | the_stack_v2_python_sparse | src/gluonts/model/gp_forecaster/_network.py | mbohlkeschneider/gluon-ts | train | 54 |
bc271f64ae7ddf5671460415f515f8e5865a90f6 | [
"super().__init__(fasta, out_file)\nself.fasta = SeqIO.parse(fasta, 'fasta')\nself.base_url = 'https://mobidb.bio.unipd.it/api/download?acc={}{}&format=json'\nself.filter = '&projection=prediction-disorder-mobidb_lite'\nif curated:\n raise NotImplementedError('Handling of curated MobiDB annotations is not yet su... | <|body_start_0|>
super().__init__(fasta, out_file)
self.fasta = SeqIO.parse(fasta, 'fasta')
self.base_url = 'https://mobidb.bio.unipd.it/api/download?acc={}{}&format=json'
self.filter = '&projection=prediction-disorder-mobidb_lite'
if curated:
raise NotImplementedErro... | Class to query MobiDB for all proteins in a specified fasta file. Protein identifiers must be in standard UniProt/ SwissProt format. Protein IDs are queried to MobiDB and predicted disordered regions (from MobiDB-Lite) are extracted and written to an output file. For information on MobiDB API, see: https://mobidb.bio.u... | APIDisorderAnnotator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class APIDisorderAnnotator:
"""Class to query MobiDB for all proteins in a specified fasta file. Protein identifiers must be in standard UniProt/ SwissProt format. Protein IDs are queried to MobiDB and predicted disordered regions (from MobiDB-Lite) are extracted and written to an output file. For info... | stack_v2_sparse_classes_36k_train_010785 | 8,962 | permissive | [
{
"docstring": "Parameters curated (bool): (Not implemented!) Should curated information from MobiDB be incorporated in output? (default:False)",
"name": "__init__",
"signature": "def __init__(self, fasta, out_file, curated=False)"
},
{
"docstring": "Construct url for current protein id and filt... | 3 | stack_v2_sparse_classes_30k_train_000570 | Implement the Python class `APIDisorderAnnotator` described below.
Class description:
Class to query MobiDB for all proteins in a specified fasta file. Protein identifiers must be in standard UniProt/ SwissProt format. Protein IDs are queried to MobiDB and predicted disordered regions (from MobiDB-Lite) are extracted ... | Implement the Python class `APIDisorderAnnotator` described below.
Class description:
Class to query MobiDB for all proteins in a specified fasta file. Protein identifiers must be in standard UniProt/ SwissProt format. Protein IDs are queried to MobiDB and predicted disordered regions (from MobiDB-Lite) are extracted ... | 9c48da8f2ef67c7a9b8fd0ed46ffadd116ee5450 | <|skeleton|>
class APIDisorderAnnotator:
"""Class to query MobiDB for all proteins in a specified fasta file. Protein identifiers must be in standard UniProt/ SwissProt format. Protein IDs are queried to MobiDB and predicted disordered regions (from MobiDB-Lite) are extracted and written to an output file. For info... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class APIDisorderAnnotator:
"""Class to query MobiDB for all proteins in a specified fasta file. Protein identifiers must be in standard UniProt/ SwissProt format. Protein IDs are queried to MobiDB and predicted disordered regions (from MobiDB-Lite) are extracted and written to an output file. For information on Mo... | the_stack_v2_python_sparse | python/src/disorder_annotators.py | acg-team/swissprot_human_strs | train | 0 |
d0f794c8c0ffd169050df54e43805a71a63a0904 | [
"B, N, C = pts.shape\ndevice = pts.device\ncentroids = torch.zeros((B, n_point), dtype=torch.long, device=device)\nfarthest = torch.randint(0, N, (B,), dtype=torch.long)\ndistances = torch.ones((B, N)) * 10000000000.0\nbatch_indices = torch.arange(B, dtype=torch.long).to(device)\nfor i in range(n_point):\n centr... | <|body_start_0|>
B, N, C = pts.shape
device = pts.device
centroids = torch.zeros((B, n_point), dtype=torch.long, device=device)
farthest = torch.randint(0, N, (B,), dtype=torch.long)
distances = torch.ones((B, N)) * 10000000000.0
batch_indices = torch.arange(B, dtype=torc... | Operator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Operator:
def farthest_points_sample(cls, pts, n_point):
"""C - channel, N- Point total number get farthest points sample :param pts: points (B,N,C) :param n_point: sample target number :return: idx (B, n_point)"""
<|body_0|>
def indexes2points(cls, pts, indexes):
""... | stack_v2_sparse_classes_36k_train_010786 | 4,606 | no_license | [
{
"docstring": "C - channel, N- Point total number get farthest points sample :param pts: points (B,N,C) :param n_point: sample target number :return: idx (B, n_point)",
"name": "farthest_points_sample",
"signature": "def farthest_points_sample(cls, pts, n_point)"
},
{
"docstring": ":param pts: ... | 4 | null | Implement the Python class `Operator` described below.
Class description:
Implement the Operator class.
Method signatures and docstrings:
- def farthest_points_sample(cls, pts, n_point): C - channel, N- Point total number get farthest points sample :param pts: points (B,N,C) :param n_point: sample target number :retu... | Implement the Python class `Operator` described below.
Class description:
Implement the Operator class.
Method signatures and docstrings:
- def farthest_points_sample(cls, pts, n_point): C - channel, N- Point total number get farthest points sample :param pts: points (B,N,C) :param n_point: sample target number :retu... | 804d0443c8d0558074cc4f4ab2f91cf73e9913d7 | <|skeleton|>
class Operator:
def farthest_points_sample(cls, pts, n_point):
"""C - channel, N- Point total number get farthest points sample :param pts: points (B,N,C) :param n_point: sample target number :return: idx (B, n_point)"""
<|body_0|>
def indexes2points(cls, pts, indexes):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Operator:
def farthest_points_sample(cls, pts, n_point):
"""C - channel, N- Point total number get farthest points sample :param pts: points (B,N,C) :param n_point: sample target number :return: idx (B, n_point)"""
B, N, C = pts.shape
device = pts.device
centroids = torch.zeros... | the_stack_v2_python_sparse | net/PointNetPP.py | kadimakipp/network | train | 1 | |
c6894faf5f991e6567e059e23ddf517b6fe6075b | [
"if conn_string:\n _update_meta(conn_string)\n Meta.Session = new_sessionmaker()\n Meta.engine = Meta.Session.kw['bind']\n logger.info(f'Connecting user:{Meta.DBUSER} to {Meta.DBHOST}:{Meta.DBPORT}/{Meta.DBNAME}')\n Meta._init_db()\nif not Meta.log_path:\n init_logging()\nreturn cls",
"import fo... | <|body_start_0|>
if conn_string:
_update_meta(conn_string)
Meta.Session = new_sessionmaker()
Meta.engine = Meta.Session.kw['bind']
logger.info(f'Connecting user:{Meta.DBUSER} to {Meta.DBHOST}:{Meta.DBPORT}/{Meta.DBNAME}')
Meta._init_db()
if not... | Singleton-like metadata class for all global variables. Adapted from the Unique Design Pattern: https://stackoverflow.com/questions/1318406/why-is-the-borg-pattern-better-than-the-singleton-pattern-in-python | Meta | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Meta:
"""Singleton-like metadata class for all global variables. Adapted from the Unique Design Pattern: https://stackoverflow.com/questions/1318406/why-is-the-borg-pattern-better-than-the-singleton-pattern-in-python"""
def init(cls, conn_string: Optional[str]=None) -> Type['Meta']:
... | stack_v2_sparse_classes_36k_train_010787 | 5,551 | permissive | [
{
"docstring": "Return the unique Meta class.",
"name": "init",
"signature": "def init(cls, conn_string: Optional[str]=None) -> Type['Meta']"
},
{
"docstring": "Initialize the storage schema. This call must be performed after all classes that extend Base are declared to ensure the storage schema... | 2 | stack_v2_sparse_classes_30k_val_000608 | Implement the Python class `Meta` described below.
Class description:
Singleton-like metadata class for all global variables. Adapted from the Unique Design Pattern: https://stackoverflow.com/questions/1318406/why-is-the-borg-pattern-better-than-the-singleton-pattern-in-python
Method signatures and docstrings:
- def ... | Implement the Python class `Meta` described below.
Class description:
Singleton-like metadata class for all global variables. Adapted from the Unique Design Pattern: https://stackoverflow.com/questions/1318406/why-is-the-borg-pattern-better-than-the-singleton-pattern-in-python
Method signatures and docstrings:
- def ... | e857285867f01536192524a195b02cbffe40c4b2 | <|skeleton|>
class Meta:
"""Singleton-like metadata class for all global variables. Adapted from the Unique Design Pattern: https://stackoverflow.com/questions/1318406/why-is-the-borg-pattern-better-than-the-singleton-pattern-in-python"""
def init(cls, conn_string: Optional[str]=None) -> Type['Meta']:
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Meta:
"""Singleton-like metadata class for all global variables. Adapted from the Unique Design Pattern: https://stackoverflow.com/questions/1318406/why-is-the-borg-pattern-better-than-the-singleton-pattern-in-python"""
def init(cls, conn_string: Optional[str]=None) -> Type['Meta']:
"""Return the... | the_stack_v2_python_sparse | src/fonduer/meta.py | HiromuHota/fonduer | train | 0 |
27804157bd4866469b89c0294fee607aa4b4d174 | [
"gt = cv2.imread(TestImageFeature.sample)\ngt = cv2.cvtColor(gt, cv2.COLOR_BGR2RGB)\nif image.shape != gt.shape:\n gt = cv2.resize(gt, (255, 255))\ngt = tf.convert_to_tensor(gt, dtype=tf.float32)\nssim = tf.image.ssim(image, gt, max_val=255)\nassert ssim.numpy() > criteria",
"if resize:\n feat = ImageFeatur... | <|body_start_0|>
gt = cv2.imread(TestImageFeature.sample)
gt = cv2.cvtColor(gt, cv2.COLOR_BGR2RGB)
if image.shape != gt.shape:
gt = cv2.resize(gt, (255, 255))
gt = tf.convert_to_tensor(gt, dtype=tf.float32)
ssim = tf.image.ssim(image, gt, max_val=255)
assert s... | TestImageFeature | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestImageFeature:
def check_ssim(image: tf.Tensor, criteria: float=0.99):
"""Check ssim with groud-truth sample"""
<|body_0|>
def test_encode_decode_in_eager_execution(self, resize):
"""Test encode-decode within eager execution mode Use ssim to check the decoded imag... | stack_v2_sparse_classes_36k_train_010788 | 8,391 | no_license | [
{
"docstring": "Check ssim with groud-truth sample",
"name": "check_ssim",
"signature": "def check_ssim(image: tf.Tensor, criteria: float=0.99)"
},
{
"docstring": "Test encode-decode within eager execution mode Use ssim to check the decoded image",
"name": "test_encode_decode_in_eager_execut... | 3 | stack_v2_sparse_classes_30k_train_015369 | Implement the Python class `TestImageFeature` described below.
Class description:
Implement the TestImageFeature class.
Method signatures and docstrings:
- def check_ssim(image: tf.Tensor, criteria: float=0.99): Check ssim with groud-truth sample
- def test_encode_decode_in_eager_execution(self, resize): Test encode-... | Implement the Python class `TestImageFeature` described below.
Class description:
Implement the TestImageFeature class.
Method signatures and docstrings:
- def check_ssim(image: tf.Tensor, criteria: float=0.99): Check ssim with groud-truth sample
- def test_encode_decode_in_eager_execution(self, resize): Test encode-... | 5da5317cedd380c244f20a96213e883d6ef29de2 | <|skeleton|>
class TestImageFeature:
def check_ssim(image: tf.Tensor, criteria: float=0.99):
"""Check ssim with groud-truth sample"""
<|body_0|>
def test_encode_decode_in_eager_execution(self, resize):
"""Test encode-decode within eager execution mode Use ssim to check the decoded imag... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestImageFeature:
def check_ssim(image: tf.Tensor, criteria: float=0.99):
"""Check ssim with groud-truth sample"""
gt = cv2.imread(TestImageFeature.sample)
gt = cv2.cvtColor(gt, cv2.COLOR_BGR2RGB)
if image.shape != gt.shape:
gt = cv2.resize(gt, (255, 255))
g... | the_stack_v2_python_sparse | Database/_unittests/test_features.py | MingRuey/mlbox | train | 2 | |
6d765fe6d4147b13003153e363d4405cc4921e16 | [
"try:\n return json.loads(os.environ[key])\nexcept json.decoder.JSONDecodeError:\n return os.environ[key]",
"config_value_json = self.query(ConfigValue).get(key)\nif config_value_json is None:\n raise MissingConfigValue(key)\ntry:\n return json.loads(config_value_json.value)\nexcept json.decoder.JSOND... | <|body_start_0|>
try:
return json.loads(os.environ[key])
except json.decoder.JSONDecodeError:
return os.environ[key]
<|end_body_0|>
<|body_start_1|>
config_value_json = self.query(ConfigValue).get(key)
if config_value_json is None:
raise MissingConfig... | Service for reading and writing configuration values for the Rasa X server. Use this service for storing configuration values that can change during the execution of the Rasa X server, and that therefore should be persisted to the SQL database across server restarts. Any configuration value may be overidden by setting ... | ConfigService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigService:
"""Service for reading and writing configuration values for the Rasa X server. Use this service for storing configuration values that can change during the execution of the Rasa X server, and that therefore should be persisted to the SQL database across server restarts. Any configu... | stack_v2_sparse_classes_36k_train_010789 | 6,853 | no_license | [
{
"docstring": "Read a configuration value from the environment. Args: key: Name of the configuration value. Returns: Configuration value.",
"name": "_get_value_from_env",
"signature": "def _get_value_from_env(self, key: Text) -> Any"
},
{
"docstring": "Read a configuration value from the databa... | 5 | stack_v2_sparse_classes_30k_train_002791 | Implement the Python class `ConfigService` described below.
Class description:
Service for reading and writing configuration values for the Rasa X server. Use this service for storing configuration values that can change during the execution of the Rasa X server, and that therefore should be persisted to the SQL datab... | Implement the Python class `ConfigService` described below.
Class description:
Service for reading and writing configuration values for the Rasa X server. Use this service for storing configuration values that can change during the execution of the Rasa X server, and that therefore should be persisted to the SQL datab... | 4d97e7e66225e526fc47d666351a16b7caea46d5 | <|skeleton|>
class ConfigService:
"""Service for reading and writing configuration values for the Rasa X server. Use this service for storing configuration values that can change during the execution of the Rasa X server, and that therefore should be persisted to the SQL database across server restarts. Any configu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConfigService:
"""Service for reading and writing configuration values for the Rasa X server. Use this service for storing configuration values that can change during the execution of the Rasa X server, and that therefore should be persisted to the SQL database across server restarts. Any configuration value ... | the_stack_v2_python_sparse | rasax/community/services/config_service.py | TrellixVulnTeam/Chat-bot-tuy-n-sinh_BZ0M | train | 0 |
c77535cad3921adab29478d554b0df1ec3998a2d | [
"super().__init__(DOMAIN)\nself.hass: HomeAssistant = hass\nself.client: XboxLiveClient = client",
"_, category, url = async_parse_identifier(item)\nkind = category.split('#', 1)[1]\nreturn PlayMedia(url, MIME_TYPE_MAP[kind])",
"title, category, _ = async_parse_identifier(item)\nif not title:\n return await ... | <|body_start_0|>
super().__init__(DOMAIN)
self.hass: HomeAssistant = hass
self.client: XboxLiveClient = client
<|end_body_0|>
<|body_start_1|>
_, category, url = async_parse_identifier(item)
kind = category.split('#', 1)[1]
return PlayMedia(url, MIME_TYPE_MAP[kind])
<|en... | Provide Xbox screenshots and gameclips as media sources. | XboxSource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XboxSource:
"""Provide Xbox screenshots and gameclips as media sources."""
def __init__(self, hass: HomeAssistant, client: XboxLiveClient) -> None:
"""Initialize Xbox source."""
<|body_0|>
async def async_resolve_media(self, item: MediaSourceItem) -> PlayMedia:
"... | stack_v2_sparse_classes_36k_train_010790 | 9,043 | permissive | [
{
"docstring": "Initialize Xbox source.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, client: XboxLiveClient) -> None"
},
{
"docstring": "Resolve media to a url.",
"name": "async_resolve_media",
"signature": "async def async_resolve_media(self, item: MediaSo... | 5 | stack_v2_sparse_classes_30k_train_016131 | Implement the Python class `XboxSource` described below.
Class description:
Provide Xbox screenshots and gameclips as media sources.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, client: XboxLiveClient) -> None: Initialize Xbox source.
- async def async_resolve_media(self, item: MediaSou... | Implement the Python class `XboxSource` described below.
Class description:
Provide Xbox screenshots and gameclips as media sources.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, client: XboxLiveClient) -> None: Initialize Xbox source.
- async def async_resolve_media(self, item: MediaSou... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class XboxSource:
"""Provide Xbox screenshots and gameclips as media sources."""
def __init__(self, hass: HomeAssistant, client: XboxLiveClient) -> None:
"""Initialize Xbox source."""
<|body_0|>
async def async_resolve_media(self, item: MediaSourceItem) -> PlayMedia:
"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class XboxSource:
"""Provide Xbox screenshots and gameclips as media sources."""
def __init__(self, hass: HomeAssistant, client: XboxLiveClient) -> None:
"""Initialize Xbox source."""
super().__init__(DOMAIN)
self.hass: HomeAssistant = hass
self.client: XboxLiveClient = client
... | the_stack_v2_python_sparse | homeassistant/components/xbox/media_source.py | home-assistant/core | train | 35,501 |
2073c2f8dcca9528de0b54e1e30d0d4e0e40a84a | [
"inst_cp_module_mqtt()\nif os.path.exists(os.path.join(target_file, 'node_modules')) and os.path.exists(os.path.join(mqtt_file, 'mqtt.js')):\n oldscp = self.target.connection.scp[:]\n self.target.connection.scp.insert(1, '-r')\n self.target.copy_to(mqtt_file, '/tmp')\n self.target.copy_to(os.path.join(t... | <|body_start_0|>
inst_cp_module_mqtt()
if os.path.exists(os.path.join(target_file, 'node_modules')) and os.path.exists(os.path.join(mqtt_file, 'mqtt.js')):
oldscp = self.target.connection.scp[:]
self.target.connection.scp.insert(1, '-r')
self.target.copy_to(mqtt_file,... | @class mqttTest | mqttTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class mqttTest:
"""@class mqttTest"""
def setUp(self):
"""Copy mqtt.js and node module mqtt to target @fn setUp @param self @param return"""
<|body_0|>
def test_mqtt(self):
"""Execute the tests and check the status @fn test_mqtt @param self @param return"""
<|b... | stack_v2_sparse_classes_36k_train_010791 | 3,346 | permissive | [
{
"docstring": "Copy mqtt.js and node module mqtt to target @fn setUp @param self @param return",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Execute the tests and check the status @fn test_mqtt @param self @param return",
"name": "test_mqtt",
"signature": "def tes... | 3 | stack_v2_sparse_classes_30k_train_015819 | Implement the Python class `mqttTest` described below.
Class description:
@class mqttTest
Method signatures and docstrings:
- def setUp(self): Copy mqtt.js and node module mqtt to target @fn setUp @param self @param return
- def test_mqtt(self): Execute the tests and check the status @fn test_mqtt @param self @param ... | Implement the Python class `mqttTest` described below.
Class description:
@class mqttTest
Method signatures and docstrings:
- def setUp(self): Copy mqtt.js and node module mqtt to target @fn setUp @param self @param return
- def test_mqtt(self): Execute the tests and check the status @fn test_mqtt @param self @param ... | 786a4de29c30b47f885d8ad9cb2d110a08919ebd | <|skeleton|>
class mqttTest:
"""@class mqttTest"""
def setUp(self):
"""Copy mqtt.js and node module mqtt to target @fn setUp @param self @param return"""
<|body_0|>
def test_mqtt(self):
"""Execute the tests and check the status @fn test_mqtt @param self @param return"""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class mqttTest:
"""@class mqttTest"""
def setUp(self):
"""Copy mqtt.js and node module mqtt to target @fn setUp @param self @param return"""
inst_cp_module_mqtt()
if os.path.exists(os.path.join(target_file, 'node_modules')) and os.path.exists(os.path.join(mqtt_file, 'mqtt.js')):
... | the_stack_v2_python_sparse | meta-iotqa/lib/oeqa/runtime/programming/nodejs/mqtt.py | intel/intel-iot-refkit | train | 38 |
4afeee56b76ffb22a28cfbbe374952d30b65d3ca | [
"if n <= 0:\n return 0\nif n == 1:\n return 1\nreturn self.fibonacci_recursive(n - 1) + self.fibonacci_recursive(n - 2)",
"if n <= 0:\n return 0\ntemp = [0, 1]\nif n >= 2:\n for i in range(2, n + 1):\n temp[i % 2] = temp[0] + temp[1]\nreturn temp[n % 2]",
"if n <= 0:\n return 0\nif n == 1:... | <|body_start_0|>
if n <= 0:
return 0
if n == 1:
return 1
return self.fibonacci_recursive(n - 1) + self.fibonacci_recursive(n - 2)
<|end_body_0|>
<|body_start_1|>
if n <= 0:
return 0
temp = [0, 1]
if n >= 2:
for i in range(2... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def fibonacci_recursive(self, n):
"""递归"""
<|body_0|>
def Fibonacci(self, n):
"""保存中间项1"""
<|body_1|>
def fibonacci_1(self, n):
"""保存中间项2"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
if n <= 0:
return 0
... | stack_v2_sparse_classes_36k_train_010792 | 1,354 | no_license | [
{
"docstring": "递归",
"name": "fibonacci_recursive",
"signature": "def fibonacci_recursive(self, n)"
},
{
"docstring": "保存中间项1",
"name": "Fibonacci",
"signature": "def Fibonacci(self, n)"
},
{
"docstring": "保存中间项2",
"name": "fibonacci_1",
"signature": "def fibonacci_1(self... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fibonacci_recursive(self, n): 递归
- def Fibonacci(self, n): 保存中间项1
- def fibonacci_1(self, n): 保存中间项2 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fibonacci_recursive(self, n): 递归
- def Fibonacci(self, n): 保存中间项1
- def fibonacci_1(self, n): 保存中间项2
<|skeleton|>
class Solution:
def fibonacci_recursive(self, n):
... | 3b8b36bcf8a983de4d8ce29734a85b6bfbe59fbc | <|skeleton|>
class Solution:
def fibonacci_recursive(self, n):
"""递归"""
<|body_0|>
def Fibonacci(self, n):
"""保存中间项1"""
<|body_1|>
def fibonacci_1(self, n):
"""保存中间项2"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def fibonacci_recursive(self, n):
"""递归"""
if n <= 0:
return 0
if n == 1:
return 1
return self.fibonacci_recursive(n - 1) + self.fibonacci_recursive(n - 2)
def Fibonacci(self, n):
"""保存中间项1"""
if n <= 0:
return ... | the_stack_v2_python_sparse | TargetOffer/10、斐波那契数列.py | a625687551/Leetcode | train | 0 | |
30e3ca8b72cc31243d061348299db2db33ef26de | [
"self._baseline_action_fn = baseline_action_fn\nself._comparator_fn = comparator_fn\nself._error_loss_fn = functools.partial(loss_utils.pinball_loss, quantile=quantile)\nsuper(RelativeQuantileConstraint, self).__init__(time_step_spec, action_spec, constraint_network, error_loss_fn=self._error_loss_fn, name=name)",
... | <|body_start_0|>
self._baseline_action_fn = baseline_action_fn
self._comparator_fn = comparator_fn
self._error_loss_fn = functools.partial(loss_utils.pinball_loss, quantile=quantile)
super(RelativeQuantileConstraint, self).__init__(time_step_spec, action_spec, constraint_network, error_l... | Class for representing a trainable relative quantile constraint. This constraint class implements a relative quantile constraint such as ``` Q_tau(action) >= Q_tau(baseline_action) ``` or ``` Q_tau(action) <= Q_tau(baseline_action) ``` | RelativeQuantileConstraint | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RelativeQuantileConstraint:
"""Class for representing a trainable relative quantile constraint. This constraint class implements a relative quantile constraint such as ``` Q_tau(action) >= Q_tau(baseline_action) ``` or ``` Q_tau(action) <= Q_tau(baseline_action) ```"""
def __init__(self, tim... | stack_v2_sparse_classes_36k_train_010793 | 22,532 | permissive | [
{
"docstring": "Creates a trainable relative quantile constraint using a neural network. Args: time_step_spec: A `TimeStep` spec of the expected time_steps. action_spec: A nest of `BoundedTensorSpec` representing the actions. constraint_network: An instance of `tf_agents.network.Network` used to provide estimat... | 2 | null | Implement the Python class `RelativeQuantileConstraint` described below.
Class description:
Class for representing a trainable relative quantile constraint. This constraint class implements a relative quantile constraint such as ``` Q_tau(action) >= Q_tau(baseline_action) ``` or ``` Q_tau(action) <= Q_tau(baseline_act... | Implement the Python class `RelativeQuantileConstraint` described below.
Class description:
Class for representing a trainable relative quantile constraint. This constraint class implements a relative quantile constraint such as ``` Q_tau(action) >= Q_tau(baseline_action) ``` or ``` Q_tau(action) <= Q_tau(baseline_act... | eca1093d3a047e538f17f6ab92ab4d8144284f23 | <|skeleton|>
class RelativeQuantileConstraint:
"""Class for representing a trainable relative quantile constraint. This constraint class implements a relative quantile constraint such as ``` Q_tau(action) >= Q_tau(baseline_action) ``` or ``` Q_tau(action) <= Q_tau(baseline_action) ```"""
def __init__(self, tim... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RelativeQuantileConstraint:
"""Class for representing a trainable relative quantile constraint. This constraint class implements a relative quantile constraint such as ``` Q_tau(action) >= Q_tau(baseline_action) ``` or ``` Q_tau(action) <= Q_tau(baseline_action) ```"""
def __init__(self, time_step_spec: ... | the_stack_v2_python_sparse | tf_agents/bandits/policies/constraints.py | tensorflow/agents | train | 2,755 |
a8a1415f5b14701c989bebce54ad0ede4fbf9a4c | [
"super(Critic, self).__init__()\ninput_shape = (state_size + action_size) * 2\nself.seed = torch.manual_seed(seed)\nself.fc1 = nn.Linear(input_shape, layer_in_out[0])\nself.fc2 = nn.Linear(layer_in_out[0], layer_in_out[1])\nself.fc3 = nn.Linear(layer_in_out[1], 1)\nself.bn1 = nn.BatchNorm1d(layer_in_out[0])\nself.r... | <|body_start_0|>
super(Critic, self).__init__()
input_shape = (state_size + action_size) * 2
self.seed = torch.manual_seed(seed)
self.fc1 = nn.Linear(input_shape, layer_in_out[0])
self.fc2 = nn.Linear(layer_in_out[0], layer_in_out[1])
self.fc3 = nn.Linear(layer_in_out[1],... | Critic (Value) Model. | Critic | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Critic:
"""Critic (Value) Model."""
def __init__(self, state_size, action_size, layer_in_out, seed):
"""Initialize parameters and build model. Params ====== input_size (int): number of dimensions for input layer seed (int): random seed fc1_units (int): number of nodes in the first hi... | stack_v2_sparse_classes_36k_train_010794 | 2,775 | no_license | [
{
"docstring": "Initialize parameters and build model. Params ====== input_size (int): number of dimensions for input layer seed (int): random seed fc1_units (int): number of nodes in the first hidden layer fc2_units (int): number of nodes in the second hidden layer",
"name": "__init__",
"signature": "d... | 3 | stack_v2_sparse_classes_30k_train_002733 | Implement the Python class `Critic` described below.
Class description:
Critic (Value) Model.
Method signatures and docstrings:
- def __init__(self, state_size, action_size, layer_in_out, seed): Initialize parameters and build model. Params ====== input_size (int): number of dimensions for input layer seed (int): ran... | Implement the Python class `Critic` described below.
Class description:
Critic (Value) Model.
Method signatures and docstrings:
- def __init__(self, state_size, action_size, layer_in_out, seed): Initialize parameters and build model. Params ====== input_size (int): number of dimensions for input layer seed (int): ran... | 31e9aca1a97e83d323eea46287048bc6a3a0fb5f | <|skeleton|>
class Critic:
"""Critic (Value) Model."""
def __init__(self, state_size, action_size, layer_in_out, seed):
"""Initialize parameters and build model. Params ====== input_size (int): number of dimensions for input layer seed (int): random seed fc1_units (int): number of nodes in the first hi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Critic:
"""Critic (Value) Model."""
def __init__(self, state_size, action_size, layer_in_out, seed):
"""Initialize parameters and build model. Params ====== input_size (int): number of dimensions for input layer seed (int): random seed fc1_units (int): number of nodes in the first hidden layer fc... | the_stack_v2_python_sparse | src/collab_compete/model.py | Sardhendu/DeepRL | train | 3 |
16f2f2c2c4ab04135fbf9b18101d965b1876d5d0 | [
"results = re.finditer(pattern=pattern, string=string)\nfor result in results:\n print(result)\n old_data = result.group()\n key = result.group(1)\n new_data = str(getattr(cls, key, ''))\n string = string.replace(old_data, new_data)\nreturn string",
"fk = faker.Faker(locale='zh-CN')\nwhile True:\n ... | <|body_start_0|>
results = re.finditer(pattern=pattern, string=string)
for result in results:
print(result)
old_data = result.group()
key = result.group(1)
new_data = str(getattr(cls, key, ''))
string = string.replace(old_data, new_data)
... | 任务：中间层。common 和 调用层。 使用项目得配置数据，填充common模块 | Handler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Handler:
"""任务：中间层。common 和 调用层。 使用项目得配置数据，填充common模块"""
def replace_data(cls, string, pattern='#(.*?)#'):
"""数据动态替换"""
<|body_0|>
def generate_new_phone(cls):
"""自动生成手机号"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
results = re.finditer(patt... | stack_v2_sparse_classes_36k_train_010795 | 5,478 | no_license | [
{
"docstring": "数据动态替换",
"name": "replace_data",
"signature": "def replace_data(cls, string, pattern='#(.*?)#')"
},
{
"docstring": "自动生成手机号",
"name": "generate_new_phone",
"signature": "def generate_new_phone(cls)"
}
] | 2 | null | Implement the Python class `Handler` described below.
Class description:
任务：中间层。common 和 调用层。 使用项目得配置数据，填充common模块
Method signatures and docstrings:
- def replace_data(cls, string, pattern='#(.*?)#'): 数据动态替换
- def generate_new_phone(cls): 自动生成手机号 | Implement the Python class `Handler` described below.
Class description:
任务：中间层。common 和 调用层。 使用项目得配置数据，填充common模块
Method signatures and docstrings:
- def replace_data(cls, string, pattern='#(.*?)#'): 数据动态替换
- def generate_new_phone(cls): 自动生成手机号
<|skeleton|>
class Handler:
"""任务：中间层。common 和 调用层。 使用项目得配置数据，填充co... | da800ed3374d1d43eb75485588ddb8c3a159bb41 | <|skeleton|>
class Handler:
"""任务：中间层。common 和 调用层。 使用项目得配置数据，填充common模块"""
def replace_data(cls, string, pattern='#(.*?)#'):
"""数据动态替换"""
<|body_0|>
def generate_new_phone(cls):
"""自动生成手机号"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Handler:
"""任务：中间层。common 和 调用层。 使用项目得配置数据，填充common模块"""
def replace_data(cls, string, pattern='#(.*?)#'):
"""数据动态替换"""
results = re.finditer(pattern=pattern, string=string)
for result in results:
print(result)
old_data = result.group()
key = re... | the_stack_v2_python_sparse | lesson30_api_v9/middleware/handler.py | zengcong1314/python1205 | train | 0 |
0cd22bf1872e9834dddb5dd6a0bbc8f30af4f9a5 | [
"calendar_event = serializer.save(owner=self.request.user)\nif calendar_event.type_of == constants.CALENDAR_EVENT_BY_TAG_TYPE:\n for tag in calendar_event.tags.all():\n me = Me.objects.get(tags__id=tag.id)\n calendar_event.pending.add(me)\nself.send_notification(calendar_event)",
"try:\n calen... | <|body_start_0|>
calendar_event = serializer.save(owner=self.request.user)
if calendar_event.type_of == constants.CALENDAR_EVENT_BY_TAG_TYPE:
for tag in calendar_event.tags.all():
me = Me.objects.get(tags__id=tag.id)
calendar_event.pending.add(me)
self... | CalendarEventViewSet | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CalendarEventViewSet:
def perform_create(self, serializer):
"""Override the create function to add additional computations."""
<|body_0|>
def attending(self, request, pk=None):
"""Will set the current authenticated User to be attending this event."""
<|body_1... | stack_v2_sparse_classes_36k_train_010796 | 6,051 | permissive | [
{
"docstring": "Override the create function to add additional computations.",
"name": "perform_create",
"signature": "def perform_create(self, serializer)"
},
{
"docstring": "Will set the current authenticated User to be attending this event.",
"name": "attending",
"signature": "def att... | 3 | null | Implement the Python class `CalendarEventViewSet` described below.
Class description:
Implement the CalendarEventViewSet class.
Method signatures and docstrings:
- def perform_create(self, serializer): Override the create function to add additional computations.
- def attending(self, request, pk=None): Will set the c... | Implement the Python class `CalendarEventViewSet` described below.
Class description:
Implement the CalendarEventViewSet class.
Method signatures and docstrings:
- def perform_create(self, serializer): Override the create function to add additional computations.
- def attending(self, request, pk=None): Will set the c... | 053973b5ff0b997c52bfaca8daf8e07db64a877c | <|skeleton|>
class CalendarEventViewSet:
def perform_create(self, serializer):
"""Override the create function to add additional computations."""
<|body_0|>
def attending(self, request, pk=None):
"""Will set the current authenticated User to be attending this event."""
<|body_1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CalendarEventViewSet:
def perform_create(self, serializer):
"""Override the create function to add additional computations."""
calendar_event = serializer.save(owner=self.request.user)
if calendar_event.type_of == constants.CALENDAR_EVENT_BY_TAG_TYPE:
for tag in calendar_ev... | the_stack_v2_python_sparse | api/views/foundation_tenant_base/calendareventviewset.py | smegurus/smegurus-django | train | 1 | |
ec6875ff85ed384d628ed6d27d3f8de2ecec6cb3 | [
"set = {}\nfor name, arg in [('database', 'db'), ('user', 'user'), ('password', 'passwd'), ('host', 'host')]:\n set[arg] = getattr(fullSpecifier, name)\nreturn MySQLdb.connect(**set)",
"if key != 'queries':\n script = self.queries.get(key)\n if script:\n return script\nraise AttributeError('%r obj... | <|body_start_0|>
set = {}
for name, arg in [('database', 'db'), ('user', 'user'), ('password', 'passwd'), ('host', 'host')]:
set[arg] = getattr(fullSpecifier, name)
return MySQLdb.connect(**set)
<|end_body_0|>
<|body_start_1|>
if key != 'queries':
script = self.q... | MySQLdb database driver | MyDriver | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyDriver:
"""MySQLdb database driver"""
def establishConnection(self, fullSpecifier):
"""Connect using the fully specified specifier fullSpecifier -- a specifier with all arguments unified and ready to be connected. This specifier should include everything required to do the actual c... | stack_v2_sparse_classes_36k_train_010797 | 4,590 | no_license | [
{
"docstring": "Connect using the fully specified specifier fullSpecifier -- a specifier with all arguments unified and ready to be connected. This specifier should include everything required to do the actual connection (including passwords or the like). All sub-classes must override this method!",
"name":... | 2 | stack_v2_sparse_classes_30k_train_002183 | Implement the Python class `MyDriver` described below.
Class description:
MySQLdb database driver
Method signatures and docstrings:
- def establishConnection(self, fullSpecifier): Connect using the fully specified specifier fullSpecifier -- a specifier with all arguments unified and ready to be connected. This specif... | Implement the Python class `MyDriver` described below.
Class description:
MySQLdb database driver
Method signatures and docstrings:
- def establishConnection(self, fullSpecifier): Connect using the fully specified specifier fullSpecifier -- a specifier with all arguments unified and ready to be connected. This specif... | 86410d2e8bece963ee7e7306560c94930467a1a7 | <|skeleton|>
class MyDriver:
"""MySQLdb database driver"""
def establishConnection(self, fullSpecifier):
"""Connect using the fully specified specifier fullSpecifier -- a specifier with all arguments unified and ready to be connected. This specifier should include everything required to do the actual c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyDriver:
"""MySQLdb database driver"""
def establishConnection(self, fullSpecifier):
"""Connect using the fully specified specifier fullSpecifier -- a specifier with all arguments unified and ready to be connected. This specifier should include everything required to do the actual connection (in... | the_stack_v2_python_sparse | build/pytable/pytable/mysql/mydriver.py | icot/euler | train | 0 |
b5e23aff68e215988a78bdcd1f135e395128fd48 | [
"handle = self._handle\nhandle.seek(0)\nquery_id_idx = self._query_id_idx\nqresult_key = None\nheader_mark = b'#'\nsplit_mark = b' '\nline = header_mark\nwhile line.startswith(header_mark):\n start_offset = handle.tell()\n line = handle.readline()\nwhile True:\n end_offset = handle.tell()\n if not line:... | <|body_start_0|>
handle = self._handle
handle.seek(0)
query_id_idx = self._query_id_idx
qresult_key = None
header_mark = b'#'
split_mark = b' '
line = header_mark
while line.startswith(header_mark):
start_offset = handle.tell()
line... | Indexer class for HMMER table output. | Hmmer3TabIndexer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Hmmer3TabIndexer:
"""Indexer class for HMMER table output."""
def __iter__(self):
"""Iterate over the file handle; yields key, start offset, and length."""
<|body_0|>
def get_raw(self, offset):
"""Return the raw bytes string of a QueryResult object from the given... | stack_v2_sparse_classes_36k_train_010798 | 12,818 | permissive | [
{
"docstring": "Iterate over the file handle; yields key, start offset, and length.",
"name": "__iter__",
"signature": "def __iter__(self)"
},
{
"docstring": "Return the raw bytes string of a QueryResult object from the given offset.",
"name": "get_raw",
"signature": "def get_raw(self, o... | 2 | null | Implement the Python class `Hmmer3TabIndexer` described below.
Class description:
Indexer class for HMMER table output.
Method signatures and docstrings:
- def __iter__(self): Iterate over the file handle; yields key, start offset, and length.
- def get_raw(self, offset): Return the raw bytes string of a QueryResult ... | Implement the Python class `Hmmer3TabIndexer` described below.
Class description:
Indexer class for HMMER table output.
Method signatures and docstrings:
- def __iter__(self): Iterate over the file handle; yields key, start offset, and length.
- def get_raw(self, offset): Return the raw bytes string of a QueryResult ... | 595c5c46794ae08a1f19716636eac7430cededa1 | <|skeleton|>
class Hmmer3TabIndexer:
"""Indexer class for HMMER table output."""
def __iter__(self):
"""Iterate over the file handle; yields key, start offset, and length."""
<|body_0|>
def get_raw(self, offset):
"""Return the raw bytes string of a QueryResult object from the given... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Hmmer3TabIndexer:
"""Indexer class for HMMER table output."""
def __iter__(self):
"""Iterate over the file handle; yields key, start offset, and length."""
handle = self._handle
handle.seek(0)
query_id_idx = self._query_id_idx
qresult_key = None
header_mark... | the_stack_v2_python_sparse | env/Lib/site-packages/Bio/SearchIO/HmmerIO/hmmer3_tab.py | abner-lucas/tp-cruzi-db | train | 2 |
57c5a37686029dfc6c4cc153532c921ef397c4aa | [
"matrix = [['.' for i in range(n)] for j in range(n)]\nresults = []\nself.findNqueens(matrix, 0, results)\nreturn results",
"if k == len(matrix):\n result = []\n for l in range(len(matrix)):\n result.append(''.join(matrix[l]))\n results.append(result)\n return\nfor i in range(len(matrix[k])):\n... | <|body_start_0|>
matrix = [['.' for i in range(n)] for j in range(n)]
results = []
self.findNqueens(matrix, 0, results)
return results
<|end_body_0|>
<|body_start_1|>
if k == len(matrix):
result = []
for l in range(len(matrix)):
result.app... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def solveNQueens(self, n):
""":type n: int :rtype: List[List[str]]"""
<|body_0|>
def findNqueens(self, matrix, k, results):
"""摆放皇后 :param matrix: :param k: :return:"""
<|body_1|>
def checkConflicts(self, matrix, k, i):
"""检测冲突 :param m... | stack_v2_sparse_classes_36k_train_010799 | 1,751 | no_license | [
{
"docstring": ":type n: int :rtype: List[List[str]]",
"name": "solveNQueens",
"signature": "def solveNQueens(self, n)"
},
{
"docstring": "摆放皇后 :param matrix: :param k: :return:",
"name": "findNqueens",
"signature": "def findNqueens(self, matrix, k, results)"
},
{
"docstring": "检... | 3 | stack_v2_sparse_classes_30k_train_020792 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def solveNQueens(self, n): :type n: int :rtype: List[List[str]]
- def findNqueens(self, matrix, k, results): 摆放皇后 :param matrix: :param k: :return:
- def checkConflicts(self, mat... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def solveNQueens(self, n): :type n: int :rtype: List[List[str]]
- def findNqueens(self, matrix, k, results): 摆放皇后 :param matrix: :param k: :return:
- def checkConflicts(self, mat... | 4af7182f125295cfd47390381e55b3fdfdb24775 | <|skeleton|>
class Solution:
def solveNQueens(self, n):
""":type n: int :rtype: List[List[str]]"""
<|body_0|>
def findNqueens(self, matrix, k, results):
"""摆放皇后 :param matrix: :param k: :return:"""
<|body_1|>
def checkConflicts(self, matrix, k, i):
"""检测冲突 :param m... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def solveNQueens(self, n):
""":type n: int :rtype: List[List[str]]"""
matrix = [['.' for i in range(n)] for j in range(n)]
results = []
self.findNqueens(matrix, 0, results)
return results
def findNqueens(self, matrix, k, results):
"""摆放皇后 :param m... | the_stack_v2_python_sparse | LeetCode_051.py | UpTownCat/LeetCode | train | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.