blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 378 8.64k | id stringlengths 44 44 | length_bytes int64 505 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a7ff174b1476ef15f181bce08584237210d98705 | [
"if not nums:\n return 0\nup, down = (1, 1)\nfor i in range(1, len(nums)):\n if nums[i] > nums[i - 1]:\n up = down + 1\n elif nums[i] < nums[i - 1]:\n down = up + 1\nreturn max(down, up)",
"if not nums:\n return 0\ndp = [[0 for _ in range(2)] for _ in range(len(nums))]\ndp[0][0], dp[0][1... | <|body_start_0|>
if not nums:
return 0
up, down = (1, 1)
for i in range(1, len(nums)):
if nums[i] > nums[i - 1]:
up = down + 1
elif nums[i] < nums[i - 1]:
down = up + 1
return max(down, up)
<|end_body_0|>
<|body_start_1... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def wiggleMaxLength(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def wiggleMaxLengthDP(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not nums:
return 0
... | stack_v2_sparse_classes_75kplus_train_001300 | 2,738 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "wiggleMaxLength",
"signature": "def wiggleMaxLength(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "wiggleMaxLengthDP",
"signature": "def wiggleMaxLengthDP(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wiggleMaxLength(self, nums): :type nums: List[int] :rtype: int
- def wiggleMaxLengthDP(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wiggleMaxLength(self, nums): :type nums: List[int] :rtype: int
- def wiggleMaxLengthDP(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def w... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def wiggleMaxLength(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def wiggleMaxLengthDP(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def wiggleMaxLength(self, nums):
""":type nums: List[int] :rtype: int"""
if not nums:
return 0
up, down = (1, 1)
for i in range(1, len(nums)):
if nums[i] > nums[i - 1]:
up = down + 1
elif nums[i] < nums[i - 1]:
... | the_stack_v2_python_sparse | W/WiggleSubsequence.py | bssrdf/pyleet | train | 2 | |
14f23095b12682aa883586e2f15f861ca93951d0 | [
"tmp = [[] for i in range(len(matrix))]\nfor i in range(len(matrix)):\n for j in range(len(matrix)):\n tmp[i].insert(0, matrix[j][i])\nmatrix[:] = tmp[:]",
"matrix.reverse()\nz = list(zip(*matrix))\nmatrix[:] = z[:]"
] | <|body_start_0|>
tmp = [[] for i in range(len(matrix))]
for i in range(len(matrix)):
for j in range(len(matrix)):
tmp[i].insert(0, matrix[j][i])
matrix[:] = tmp[:]
<|end_body_0|>
<|body_start_1|>
matrix.reverse()
z = list(zip(*matrix))
matrix[... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rotate(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
<|body_0|>
def rotate2(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-p... | stack_v2_sparse_classes_75kplus_train_001301 | 643 | no_license | [
{
"docstring": ":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.",
"name": "rotate",
"signature": "def rotate(self, matrix)"
},
{
"docstring": ":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.",
... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, matrix): :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.
- def rotate2(self, matrix): :type matrix: List[List[... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, matrix): :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.
- def rotate2(self, matrix): :type matrix: List[List[... | 624975f767f6efa1d7361cc077eaebc344d57210 | <|skeleton|>
class Solution:
def rotate(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
<|body_0|>
def rotate2(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def rotate(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
tmp = [[] for i in range(len(matrix))]
for i in range(len(matrix)):
for j in range(len(matrix)):
tmp[i].insert(0, mat... | the_stack_v2_python_sparse | 48. 旋转图像.py | dx19910707/LeetCode | train | 0 | |
30e50150e559fb43385ca4055e24db681a72975d | [
"class MLStripper(HTMLParser):\n\n def __init__(self):\n super().__init__()\n self.reset()\n self.fed = []\n\n def handle_data(self, d):\n self.fed.append(d)\n\n def get_data(self):\n return ''.join(self.fed)\ns = MLStripper()\ns.feed(html)\nreturn s.get_data()",
"logge... | <|body_start_0|>
class MLStripper(HTMLParser):
def __init__(self):
super().__init__()
self.reset()
self.fed = []
def handle_data(self, d):
self.fed.append(d)
def get_data(self):
return ''.join(... | HTMLTagRemover | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HTMLTagRemover:
def _tag_remover(self, html):
""":param html: :return:"""
<|body_0|>
def transform(self, X):
"""`X` is expected to be a list of `str` instances."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
class MLStripper(HTMLParser):
... | stack_v2_sparse_classes_75kplus_train_001302 | 4,447 | no_license | [
{
"docstring": ":param html: :return:",
"name": "_tag_remover",
"signature": "def _tag_remover(self, html)"
},
{
"docstring": "`X` is expected to be a list of `str` instances.",
"name": "transform",
"signature": "def transform(self, X)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003959 | Implement the Python class `HTMLTagRemover` described below.
Class description:
Implement the HTMLTagRemover class.
Method signatures and docstrings:
- def _tag_remover(self, html): :param html: :return:
- def transform(self, X): `X` is expected to be a list of `str` instances. | Implement the Python class `HTMLTagRemover` described below.
Class description:
Implement the HTMLTagRemover class.
Method signatures and docstrings:
- def _tag_remover(self, html): :param html: :return:
- def transform(self, X): `X` is expected to be a list of `str` instances.
<|skeleton|>
class HTMLTagRemover:
... | 28c981560ff7e24513372f76c6cbe4b9facf6457 | <|skeleton|>
class HTMLTagRemover:
def _tag_remover(self, html):
""":param html: :return:"""
<|body_0|>
def transform(self, X):
"""`X` is expected to be a list of `str` instances."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HTMLTagRemover:
def _tag_remover(self, html):
""":param html: :return:"""
class MLStripper(HTMLParser):
def __init__(self):
super().__init__()
self.reset()
self.fed = []
def handle_data(self, d):
self.fed... | the_stack_v2_python_sparse | ice_commons/core/text.py | karansingla06/ICE-NER-NLP | train | 1 | |
2313cdc5d523b22f0ba4b68874225fe71c105f9a | [
"if len(self.args) != 1:\n raise ValueError('ArgRule only support ONE argument')\nsupported_arg_names = ('KeywordArg', 'ConceptArg')\narg_name = self.args[0].__class__.__name__\nif arg_name not in supported_arg_names:\n raise ValueError('ArgRule only support argument of types ({})'.format(', '.join(supported_... | <|body_start_0|>
if len(self.args) != 1:
raise ValueError('ArgRule only support ONE argument')
supported_arg_names = ('KeywordArg', 'ConceptArg')
arg_name = self.args[0].__class__.__name__
if arg_name not in supported_arg_names:
raise ValueError('ArgRule only supp... | 参数规则 | ArgRule | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArgRule:
"""参数规则"""
def validate(self):
"""参数的合法性检验, 不合法抛出异常. 1. 只支持一个参数 2. 参数只能是 关键词 (KeywordArg) 或 概念 (ConceptArg)"""
<|body_0|>
def match(self, text):
"""匹配对象进行文本的规则匹配 :param text: 待匹配的 Text 对象 :return: 返回查找到的 Results 对象, 如果不存在返回 None"""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus_train_001303 | 1,436 | no_license | [
{
"docstring": "参数的合法性检验, 不合法抛出异常. 1. 只支持一个参数 2. 参数只能是 关键词 (KeywordArg) 或 概念 (ConceptArg)",
"name": "validate",
"signature": "def validate(self)"
},
{
"docstring": "匹配对象进行文本的规则匹配 :param text: 待匹配的 Text 对象 :return: 返回查找到的 Results 对象, 如果不存在返回 None",
"name": "match",
"signature": "def match... | 2 | null | Implement the Python class `ArgRule` described below.
Class description:
参数规则
Method signatures and docstrings:
- def validate(self): 参数的合法性检验, 不合法抛出异常. 1. 只支持一个参数 2. 参数只能是 关键词 (KeywordArg) 或 概念 (ConceptArg)
- def match(self, text): 匹配对象进行文本的规则匹配 :param text: 待匹配的 Text 对象 :return: 返回查找到的 Results 对象, 如果不存在返回 None | Implement the Python class `ArgRule` described below.
Class description:
参数规则
Method signatures and docstrings:
- def validate(self): 参数的合法性检验, 不合法抛出异常. 1. 只支持一个参数 2. 参数只能是 关键词 (KeywordArg) 或 概念 (ConceptArg)
- def match(self, text): 匹配对象进行文本的规则匹配 :param text: 待匹配的 Text 对象 :return: 返回查找到的 Results 对象, 如果不存在返回 None
<|s... | 0d587707b0ecae5a321e8a394cc0cf96fcf58235 | <|skeleton|>
class ArgRule:
"""参数规则"""
def validate(self):
"""参数的合法性检验, 不合法抛出异常. 1. 只支持一个参数 2. 参数只能是 关键词 (KeywordArg) 或 概念 (ConceptArg)"""
<|body_0|>
def match(self, text):
"""匹配对象进行文本的规则匹配 :param text: 待匹配的 Text 对象 :return: 返回查找到的 Results 对象, 如果不存在返回 None"""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArgRule:
"""参数规则"""
def validate(self):
"""参数的合法性检验, 不合法抛出异常. 1. 只支持一个参数 2. 参数只能是 关键词 (KeywordArg) 或 概念 (ConceptArg)"""
if len(self.args) != 1:
raise ValueError('ArgRule only support ONE argument')
supported_arg_names = ('KeywordArg', 'ConceptArg')
arg_name = s... | the_stack_v2_python_sparse | report_code/code/kme/rule/arg_rule.py | Mi524/tools_copy | train | 0 |
ad14551af5a156ae4c87b25bdcb75383ea771922 | [
"digits_len = len(digits)\nif not self.increment_digit(digits, digits_len - 1, 1):\n return digits\nfor i in range(digits_len - 2, -1, -1):\n if not self.increment_digit(digits, i, 1):\n break\nreturn digits",
"new_digit = digits[i] + carry\ndigits[i] = new_digit % 10\ncarry = new_digit // 10\nif i =... | <|body_start_0|>
digits_len = len(digits)
if not self.increment_digit(digits, digits_len - 1, 1):
return digits
for i in range(digits_len - 2, -1, -1):
if not self.increment_digit(digits, i, 1):
break
return digits
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def plusOne(self, digits: List[int]) -> List[int]:
"""(Solution, list of int) -> list of int Return a list of digits representing a number that is one higher than the number represented by digits. >>> soln = Solution() >>> soln.plusOne([1, 2, 3]) [1, 2, 4] >>> soln.plusOne([4, ... | stack_v2_sparse_classes_75kplus_train_001304 | 2,409 | no_license | [
{
"docstring": "(Solution, list of int) -> list of int Return a list of digits representing a number that is one higher than the number represented by digits. >>> soln = Solution() >>> soln.plusOne([1, 2, 3]) [1, 2, 4] >>> soln.plusOne([4, 3, 2, 1]) [4, 3, 2, 2] >>> soln.plusOne([9]) [1, 0]",
"name": "plusO... | 2 | stack_v2_sparse_classes_30k_train_019737 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def plusOne(self, digits: List[int]) -> List[int]: (Solution, list of int) -> list of int Return a list of digits representing a number that is one higher than the number represe... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def plusOne(self, digits: List[int]) -> List[int]: (Solution, list of int) -> list of int Return a list of digits representing a number that is one higher than the number represe... | 6812253b90bdd5a35c6bfba8eac54da9be26d56c | <|skeleton|>
class Solution:
def plusOne(self, digits: List[int]) -> List[int]:
"""(Solution, list of int) -> list of int Return a list of digits representing a number that is one higher than the number represented by digits. >>> soln = Solution() >>> soln.plusOne([1, 2, 3]) [1, 2, 4] >>> soln.plusOne([4, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def plusOne(self, digits: List[int]) -> List[int]:
"""(Solution, list of int) -> list of int Return a list of digits representing a number that is one higher than the number represented by digits. >>> soln = Solution() >>> soln.plusOne([1, 2, 3]) [1, 2, 4] >>> soln.plusOne([4, 3, 2, 1]) [4, ... | the_stack_v2_python_sparse | python3/plusOne.py | yichuanma95/leetcode-solns | train | 2 | |
925c1ff84720a75dee80f58820382844fcb3c0d5 | [
"logic = NoticeLogic(self.auth, sid, aid)\nparams = ParamsParser(request.GET)\nlimit = params.int('limit', desc='每页最大渲染数', require=False, default=10)\npage = params.int('page', desc='当前页数', require=False, default=1)\nnotice = AssociationNotice.objects.values('id', 'update_time').filter(association_id=aid).order_by(... | <|body_start_0|>
logic = NoticeLogic(self.auth, sid, aid)
params = ParamsParser(request.GET)
limit = params.int('limit', desc='每页最大渲染数', require=False, default=10)
page = params.int('page', desc='当前页数', require=False, default=1)
notice = AssociationNotice.objects.values('id', 'up... | NoticeView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NoticeView:
def get(self, request, sid, aid):
"""获取通知列表 :param request: :param sid: :param aid: :return:"""
<|body_0|>
def post(self, request, sid, aid):
"""批量获通知信息 :param request: :param sid: :param aid: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start... | stack_v2_sparse_classes_75kplus_train_001305 | 7,116 | no_license | [
{
"docstring": "获取通知列表 :param request: :param sid: :param aid: :return:",
"name": "get",
"signature": "def get(self, request, sid, aid)"
},
{
"docstring": "批量获通知信息 :param request: :param sid: :param aid: :return:",
"name": "post",
"signature": "def post(self, request, sid, aid)"
}
] | 2 | stack_v2_sparse_classes_30k_train_031730 | Implement the Python class `NoticeView` described below.
Class description:
Implement the NoticeView class.
Method signatures and docstrings:
- def get(self, request, sid, aid): 获取通知列表 :param request: :param sid: :param aid: :return:
- def post(self, request, sid, aid): 批量获通知信息 :param request: :param sid: :param aid:... | Implement the Python class `NoticeView` described below.
Class description:
Implement the NoticeView class.
Method signatures and docstrings:
- def get(self, request, sid, aid): 获取通知列表 :param request: :param sid: :param aid: :return:
- def post(self, request, sid, aid): 批量获通知信息 :param request: :param sid: :param aid:... | a0553be3c259712de1fe5517b06317ad5756f79d | <|skeleton|>
class NoticeView:
def get(self, request, sid, aid):
"""获取通知列表 :param request: :param sid: :param aid: :return:"""
<|body_0|>
def post(self, request, sid, aid):
"""批量获通知信息 :param request: :param sid: :param aid: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NoticeView:
def get(self, request, sid, aid):
"""获取通知列表 :param request: :param sid: :param aid: :return:"""
logic = NoticeLogic(self.auth, sid, aid)
params = ParamsParser(request.GET)
limit = params.int('limit', desc='每页最大渲染数', require=False, default=10)
page = params.i... | the_stack_v2_python_sparse | LittlePigHoHo/server/notice/views/info.py | shoogoome/hoho | train | 1 | |
0fc79e639a50c9f70cba34cc576489ee92a0b516 | [
"if name == 'CSthreadName':\n return threading.current_thread().name\nif name == 'HostName':\n return hostname\nreturn self.__dict__.get(name, '?')",
"keys = ['CSthreadName', 'HostName']\nkeys.extend(self.__dict__.keys())\nreturn keys.__iter__()"
] | <|body_start_0|>
if name == 'CSthreadName':
return threading.current_thread().name
if name == 'HostName':
return hostname
return self.__dict__.get(name, '?')
<|end_body_0|>
<|body_start_1|>
keys = ['CSthreadName', 'HostName']
keys.extend(self.__dict__.key... | according to a recipe from: http://docs.python.org/howto/logging-cookbook.html#adding-contextual-information-to-your-logging-output | ExtraInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExtraInfo:
"""according to a recipe from: http://docs.python.org/howto/logging-cookbook.html#adding-contextual-information-to-your-logging-output"""
def __getitem__(self, name):
"""To allow this instance to look like a dict."""
<|body_0|>
def __iter__(self):
"""T... | stack_v2_sparse_classes_75kplus_train_001306 | 2,766 | no_license | [
{
"docstring": "To allow this instance to look like a dict.",
"name": "__getitem__",
"signature": "def __getitem__(self, name)"
},
{
"docstring": "To allow iteration over keys, which will be merged into the LogRecord dict before formatting and output.",
"name": "__iter__",
"signature": "... | 2 | stack_v2_sparse_classes_30k_train_019977 | Implement the Python class `ExtraInfo` described below.
Class description:
according to a recipe from: http://docs.python.org/howto/logging-cookbook.html#adding-contextual-information-to-your-logging-output
Method signatures and docstrings:
- def __getitem__(self, name): To allow this instance to look like a dict.
- ... | Implement the Python class `ExtraInfo` described below.
Class description:
according to a recipe from: http://docs.python.org/howto/logging-cookbook.html#adding-contextual-information-to-your-logging-output
Method signatures and docstrings:
- def __getitem__(self, name): To allow this instance to look like a dict.
- ... | b92d7338a420a4b437d24b0aa20408fcb4fa8ea0 | <|skeleton|>
class ExtraInfo:
"""according to a recipe from: http://docs.python.org/howto/logging-cookbook.html#adding-contextual-information-to-your-logging-output"""
def __getitem__(self, name):
"""To allow this instance to look like a dict."""
<|body_0|>
def __iter__(self):
"""T... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExtraInfo:
"""according to a recipe from: http://docs.python.org/howto/logging-cookbook.html#adding-contextual-information-to-your-logging-output"""
def __getitem__(self, name):
"""To allow this instance to look like a dict."""
if name == 'CSthreadName':
return threading.curre... | the_stack_v2_python_sparse | ao/log.py | idobarkan/my-code | train | 0 |
5e94507328a67e6f8e9601795a1ad8698cfda9ff | [
"ans = []\nmax_len = 0\n\ndef min_nesting(i):\n s = set()\n while nums[i] not in s:\n s.add(nums[i])\n i = nums[i]\n ans.append(s)\nfor n in nums:\n min_nesting(n)\nfor s in ans:\n max_len = max(max_len, len(s))\nreturn max_len",
"ans, step, n = (0, 0, len(nums))\nseen = [False] * n\n... | <|body_start_0|>
ans = []
max_len = 0
def min_nesting(i):
s = set()
while nums[i] not in s:
s.add(nums[i])
i = nums[i]
ans.append(s)
for n in nums:
min_nesting(n)
for s in ans:
max_len = ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def arrayNesting(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def arrayNesting2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def arrayNesting3(self, nums):
""":type nums: List[int] :rtype: int"""
... | stack_v2_sparse_classes_75kplus_train_001307 | 2,672 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "arrayNesting",
"signature": "def arrayNesting(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "arrayNesting2",
"signature": "def arrayNesting2(self, nums)"
},
{
"docstring": ":type nums: List... | 3 | stack_v2_sparse_classes_30k_train_013589 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def arrayNesting(self, nums): :type nums: List[int] :rtype: int
- def arrayNesting2(self, nums): :type nums: List[int] :rtype: int
- def arrayNesting3(self, nums): :type nums: Li... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def arrayNesting(self, nums): :type nums: List[int] :rtype: int
- def arrayNesting2(self, nums): :type nums: List[int] :rtype: int
- def arrayNesting3(self, nums): :type nums: Li... | b925bb22d1daa4a56c5a238a5758a926905559b4 | <|skeleton|>
class Solution:
def arrayNesting(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def arrayNesting2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def arrayNesting3(self, nums):
""":type nums: List[int] :rtype: int"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def arrayNesting(self, nums):
""":type nums: List[int] :rtype: int"""
ans = []
max_len = 0
def min_nesting(i):
s = set()
while nums[i] not in s:
s.add(nums[i])
i = nums[i]
ans.append(s)
for n... | the_stack_v2_python_sparse | Arrays/565. Array Nesting.py | beninghton/notGivenUpToG | train | 0 | |
0cd01d4da8a9e28c5896a1e2b072fcace47bc687 | [
"lst = []\nQ = [root] if root else []\nwhile len(Q) > 0:\n p = Q.pop()\n if not p:\n lst.append(None)\n continue\n Q.append(p.left)\n Q.append(p.right)\nwhile len(lst) > 0 and lst[-1] == None:\n lst.pop()\nreturn str(lst)",
"data = data[1:-1]\nif len(data) == 0:\n return None\nlst ... | <|body_start_0|>
lst = []
Q = [root] if root else []
while len(Q) > 0:
p = Q.pop()
if not p:
lst.append(None)
continue
Q.append(p.left)
Q.append(p.right)
while len(lst) > 0 and lst[-1] == None:
ls... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_001308 | 1,480 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_020802 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | a95b871578aae0103066962c33b8c0f4ec22d0f2 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
lst = []
Q = [root] if root else []
while len(Q) > 0:
p = Q.pop()
if not p:
lst.append(None)
continue
... | the_stack_v2_python_sparse | Offer037.py | Jane11111/Leetcode2021 | train | 2 | |
b8c586598f489e9ba8da712cab957bc3f96cfe35 | [
"from SaasSecurityEventCollector import fetch_events_from_saas_security\nmocker.patch.object(Client, 'http_request', side_effect=queue)\nevents, _ = fetch_events_from_saas_security(client=mock_client, max_fetch=max_fetch)\nassert expected_events.get('events') == events",
"import SaasSecurityEventCollector\nshould... | <|body_start_0|>
from SaasSecurityEventCollector import fetch_events_from_saas_security
mocker.patch.object(Client, 'http_request', side_effect=queue)
events, _ = fetch_events_from_saas_security(client=mock_client, max_fetch=max_fetch)
assert expected_events.get('events') == events
<|end... | TestFetchEvents | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFetchEvents:
def test_fetch_events(self, mocker, mock_client, max_fetch, queue, expected_events):
"""Given - a queue of responses to fetch events. - max fetch limit When - fetching events. Then - make sure the correct events are fetched according to the queue and max fetch. - make su... | stack_v2_sparse_classes_75kplus_train_001309 | 19,402 | permissive | [
{
"docstring": "Given - a queue of responses to fetch events. - max fetch limit When - fetching events. Then - make sure the correct events are fetched according to the queue and max fetch. - make sure in case max fetch is None that all available events will be fetched.",
"name": "test_fetch_events",
"s... | 5 | stack_v2_sparse_classes_30k_train_030261 | Implement the Python class `TestFetchEvents` described below.
Class description:
Implement the TestFetchEvents class.
Method signatures and docstrings:
- def test_fetch_events(self, mocker, mock_client, max_fetch, queue, expected_events): Given - a queue of responses to fetch events. - max fetch limit When - fetching... | Implement the Python class `TestFetchEvents` described below.
Class description:
Implement the TestFetchEvents class.
Method signatures and docstrings:
- def test_fetch_events(self, mocker, mock_client, max_fetch, queue, expected_events): Given - a queue of responses to fetch events. - max fetch limit When - fetching... | 890def5a0e0ae8d6eaa538148249ddbc851dbb6b | <|skeleton|>
class TestFetchEvents:
def test_fetch_events(self, mocker, mock_client, max_fetch, queue, expected_events):
"""Given - a queue of responses to fetch events. - max fetch limit When - fetching events. Then - make sure the correct events are fetched according to the queue and max fetch. - make su... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestFetchEvents:
def test_fetch_events(self, mocker, mock_client, max_fetch, queue, expected_events):
"""Given - a queue of responses to fetch events. - max fetch limit When - fetching events. Then - make sure the correct events are fetched according to the queue and max fetch. - make sure in case max... | the_stack_v2_python_sparse | Packs/PrismaSaasSecurity/Integrations/SaasSecurityEventCollector/SaasSecurityEventCollector_test.py | demisto/content | train | 1,023 | |
709a6b612f025b370f68f56cff36fba06a5de452 | [
"if 'path' in config:\n self.path = config['path']\nelse:\n raise Exception('Path must be specified')\nif 'format' in config:\n if config['format'] in ['json', 'yaml']:\n self.format = config['format']\n else:\n raise Exception('Format must be json or yaml')\nelse:\n self.format = 'json... | <|body_start_0|>
if 'path' in config:
self.path = config['path']
else:
raise Exception('Path must be specified')
if 'format' in config:
if config['format'] in ['json', 'yaml']:
self.format = config['format']
else:
ra... | ConfigBackup Plugin | ConfigBackupPlugin | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigBackupPlugin:
"""ConfigBackup Plugin"""
def __init__(self, config, registry):
"""Constructor"""
<|body_0|>
def onConfigUpdated(self, config):
"""Save the configuration to disk"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if 'path' in co... | stack_v2_sparse_classes_75kplus_train_001310 | 1,532 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, config, registry)"
},
{
"docstring": "Save the configuration to disk",
"name": "onConfigUpdated",
"signature": "def onConfigUpdated(self, config)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016285 | Implement the Python class `ConfigBackupPlugin` described below.
Class description:
ConfigBackup Plugin
Method signatures and docstrings:
- def __init__(self, config, registry): Constructor
- def onConfigUpdated(self, config): Save the configuration to disk | Implement the Python class `ConfigBackupPlugin` described below.
Class description:
ConfigBackup Plugin
Method signatures and docstrings:
- def __init__(self, config, registry): Constructor
- def onConfigUpdated(self, config): Save the configuration to disk
<|skeleton|>
class ConfigBackupPlugin:
"""ConfigBackup ... | 27b3c26d72ad943f14598d409e029e8dd9f9597b | <|skeleton|>
class ConfigBackupPlugin:
"""ConfigBackup Plugin"""
def __init__(self, config, registry):
"""Constructor"""
<|body_0|>
def onConfigUpdated(self, config):
"""Save the configuration to disk"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConfigBackupPlugin:
"""ConfigBackup Plugin"""
def __init__(self, config, registry):
"""Constructor"""
if 'path' in config:
self.path = config['path']
else:
raise Exception('Path must be specified')
if 'format' in config:
if config['forma... | the_stack_v2_python_sparse | plugins/configbackup.py | geneanet/moneta | train | 6 |
f5a0fd43b0d104e3a05d49c794231261362352e3 | [
"review: Review = self.get_object()\nreview.helpful.add(request.user)\nserializer: ReviewSerializer = self.get_serializer(review)\nreturn Response(data=serializer.data, status=status.HTTP_200_OK)",
"review: Review = self.get_object()\nreview.helpful.remove(request.user)\nserializer: ReviewSerializer = self.get_se... | <|body_start_0|>
review: Review = self.get_object()
review.helpful.add(request.user)
serializer: ReviewSerializer = self.get_serializer(review)
return Response(data=serializer.data, status=status.HTTP_200_OK)
<|end_body_0|>
<|body_start_1|>
review: Review = self.get_object()
... | Review helpful view. | ReviewHelpful | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReviewHelpful:
"""Review helpful view."""
def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response:
"""Set the review as helpful. :param request: Request :return: Review"""
<|body_0|>
def delete(self, request: Request, *args: tuple, **kwargs: dict) -> R... | stack_v2_sparse_classes_75kplus_train_001311 | 5,590 | no_license | [
{
"docstring": "Set the review as helpful. :param request: Request :return: Review",
"name": "post",
"signature": "def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response"
},
{
"docstring": "Unset the review as helpful. :param request: Request :return: Review",
"name": "de... | 2 | stack_v2_sparse_classes_30k_train_003080 | Implement the Python class `ReviewHelpful` described below.
Class description:
Review helpful view.
Method signatures and docstrings:
- def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response: Set the review as helpful. :param request: Request :return: Review
- def delete(self, request: Request, *a... | Implement the Python class `ReviewHelpful` described below.
Class description:
Review helpful view.
Method signatures and docstrings:
- def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response: Set the review as helpful. :param request: Request :return: Review
- def delete(self, request: Request, *a... | 713b9d84ac70d964d46f189ab1f9c7b944b9684b | <|skeleton|>
class ReviewHelpful:
"""Review helpful view."""
def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response:
"""Set the review as helpful. :param request: Request :return: Review"""
<|body_0|>
def delete(self, request: Request, *args: tuple, **kwargs: dict) -> R... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReviewHelpful:
"""Review helpful view."""
def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response:
"""Set the review as helpful. :param request: Request :return: Review"""
review: Review = self.get_object()
review.helpful.add(request.user)
serializer: Re... | the_stack_v2_python_sparse | jobadvisor/reviews/views/review.py | ewgen19892/jobadvisor | train | 0 |
e5384eb43e13c957e1671e1a80f9f3d35df665c4 | [
"if timezoneName is None:\n timezoneName = self.defaultTimezoneName\ndt = timeutil.now(timezoneName)\nsource.reply(timeutil.format(dt, self.timeFormat))",
"if timezoneName is None:\n timezoneName = self.defaultTimezoneName\ndt = timeutil.convert(timeString, timezoneName, self.defaultTimezoneName)\nsource.re... | <|body_start_0|>
if timezoneName is None:
timezoneName = self.defaultTimezoneName
dt = timeutil.now(timezoneName)
source.reply(timeutil.format(dt, self.timeFormat))
<|end_body_0|>
<|body_start_1|>
if timezoneName is None:
timezoneName = self.defaultTimezoneName
... | Time-related functions. | Time | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Time:
"""Time-related functions."""
def cmd_now(self, source, timezoneName=None):
"""Show the current time in the default timezone, or <timezoneName>."""
<|body_0|>
def cmd_convert(self, source, timeString, timezoneName=None):
"""Convert <timeString> to the defau... | stack_v2_sparse_classes_75kplus_train_001312 | 1,669 | permissive | [
{
"docstring": "Show the current time in the default timezone, or <timezoneName>.",
"name": "cmd_now",
"signature": "def cmd_now(self, source, timezoneName=None)"
},
{
"docstring": "Convert <timeString> to the default timezone, or <timezoneName>. <timeString> should be a valid time string, the f... | 2 | stack_v2_sparse_classes_30k_train_032119 | Implement the Python class `Time` described below.
Class description:
Time-related functions.
Method signatures and docstrings:
- def cmd_now(self, source, timezoneName=None): Show the current time in the default timezone, or <timezoneName>.
- def cmd_convert(self, source, timeString, timezoneName=None): Convert <tim... | Implement the Python class `Time` described below.
Class description:
Time-related functions.
Method signatures and docstrings:
- def cmd_now(self, source, timezoneName=None): Show the current time in the default timezone, or <timezoneName>.
- def cmd_convert(self, source, timeString, timezoneName=None): Convert <tim... | 11c80c7024548ce7c41800b077d3d0a738a04875 | <|skeleton|>
class Time:
"""Time-related functions."""
def cmd_now(self, source, timezoneName=None):
"""Show the current time in the default timezone, or <timezoneName>."""
<|body_0|>
def cmd_convert(self, source, timeString, timezoneName=None):
"""Convert <timeString> to the defau... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Time:
"""Time-related functions."""
def cmd_now(self, source, timezoneName=None):
"""Show the current time in the default timezone, or <timezoneName>."""
if timezoneName is None:
timezoneName = self.defaultTimezoneName
dt = timeutil.now(timezoneName)
source.rep... | the_stack_v2_python_sparse | eridanusstd/plugindefs/time.py | mithrandi/eridanus | train | 0 |
c416bb36fc141debebd4f63bd7372035523d5e34 | [
"if request.user.is_authenticated:\n lists = ListsStream().get_list_stream(request.user)\nelse:\n lists = models.List.objects.filter(privacy='public')\npaginated = Paginator(lists, 12)\ndata = {'lists': paginated.get_page(request.GET.get('page')), 'list_form': forms.ListForm(), 'path': '/list'}\nreturn Templa... | <|body_start_0|>
if request.user.is_authenticated:
lists = ListsStream().get_list_stream(request.user)
else:
lists = models.List.objects.filter(privacy='public')
paginated = Paginator(lists, 12)
data = {'lists': paginated.get_page(request.GET.get('page')), 'list_f... | book list page | Lists | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Lists:
"""book list page"""
def get(self, request):
"""display a book list"""
<|body_0|>
def post(self, request):
"""create a book_list"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if request.user.is_authenticated:
lists = ListsSt... | stack_v2_sparse_classes_75kplus_train_001313 | 2,823 | no_license | [
{
"docstring": "display a book list",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "create a book_list",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006861 | Implement the Python class `Lists` described below.
Class description:
book list page
Method signatures and docstrings:
- def get(self, request): display a book list
- def post(self, request): create a book_list | Implement the Python class `Lists` described below.
Class description:
book list page
Method signatures and docstrings:
- def get(self, request): display a book list
- def post(self, request): create a book_list
<|skeleton|>
class Lists:
"""book list page"""
def get(self, request):
"""display a book... | 0f8da5b738047f3c34d60d93f59bdedd8f797224 | <|skeleton|>
class Lists:
"""book list page"""
def get(self, request):
"""display a book list"""
<|body_0|>
def post(self, request):
"""create a book_list"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Lists:
"""book list page"""
def get(self, request):
"""display a book list"""
if request.user.is_authenticated:
lists = ListsStream().get_list_stream(request.user)
else:
lists = models.List.objects.filter(privacy='public')
paginated = Paginator(list... | the_stack_v2_python_sparse | bookwyrm/views/list/lists.py | bookwyrm-social/bookwyrm | train | 1,398 |
ac7070f701a0cfa5199b92e0e333614fb76fcec2 | [
"post_to_delete = self.post1\nresponse = self.client.delete('/1.0/posts/{0}/'.format(post_to_delete.id))\nself.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)",
"self.client.login(username=self.user.username, password=self.user.raw_password)\npost_to_delete = self.post1\nresponse = self.client.delete... | <|body_start_0|>
post_to_delete = self.post1
response = self.client.delete('/1.0/posts/{0}/'.format(post_to_delete.id))
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
<|end_body_0|>
<|body_start_1|>
self.client.login(username=self.user.username, password=self.user.raw... | PostDeleteAPITest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostDeleteAPITest:
def test_post_cannot_be_deleted_by_anonymous(self):
"""Ensures that a post cannot be deleted by anonymous user"""
<|body_0|>
def test_post_cannot_be_deleted_by_other(self):
"""Ensures that a post cannot be deleted by other"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_001314 | 20,627 | no_license | [
{
"docstring": "Ensures that a post cannot be deleted by anonymous user",
"name": "test_post_cannot_be_deleted_by_anonymous",
"signature": "def test_post_cannot_be_deleted_by_anonymous(self)"
},
{
"docstring": "Ensures that a post cannot be deleted by other",
"name": "test_post_cannot_be_del... | 4 | stack_v2_sparse_classes_30k_train_036853 | Implement the Python class `PostDeleteAPITest` described below.
Class description:
Implement the PostDeleteAPITest class.
Method signatures and docstrings:
- def test_post_cannot_be_deleted_by_anonymous(self): Ensures that a post cannot be deleted by anonymous user
- def test_post_cannot_be_deleted_by_other(self): En... | Implement the Python class `PostDeleteAPITest` described below.
Class description:
Implement the PostDeleteAPITest class.
Method signatures and docstrings:
- def test_post_cannot_be_deleted_by_anonymous(self): Ensures that a post cannot be deleted by anonymous user
- def test_post_cannot_be_deleted_by_other(self): En... | 56bfe19853bfec4581870a0075d0f21ee4d4bfda | <|skeleton|>
class PostDeleteAPITest:
def test_post_cannot_be_deleted_by_anonymous(self):
"""Ensures that a post cannot be deleted by anonymous user"""
<|body_0|>
def test_post_cannot_be_deleted_by_other(self):
"""Ensures that a post cannot be deleted by other"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PostDeleteAPITest:
def test_post_cannot_be_deleted_by_anonymous(self):
"""Ensures that a post cannot be deleted by anonymous user"""
post_to_delete = self.post1
response = self.client.delete('/1.0/posts/{0}/'.format(post_to_delete.id))
self.assertEqual(response.status_code, sta... | the_stack_v2_python_sparse | blogs/tests.py | dmpinero/practica_Python_Django_Avanzado | train | 0 | |
d0a06143d180691c7d316339dcfeea61ae1a637c | [
"super().__init__()\nself.phoneme_predictor = Encoder(idim=-1, input_layer=None, attention_dim=attention_dim, attention_heads=attention_heads, linear_units=linear_units, num_blocks=blocks, dropout_rate=dropout_rate, positional_dropout_rate=positional_dropout_rate, attention_dropout_rate=attention_dropout_rate, norm... | <|body_start_0|>
super().__init__()
self.phoneme_predictor = Encoder(idim=-1, input_layer=None, attention_dim=attention_dim, attention_heads=attention_heads, linear_units=linear_units, num_blocks=blocks, dropout_rate=dropout_rate, positional_dropout_rate=positional_dropout_rate, attention_dropout_rate=a... | Phoneme Predictor module in VISinger. | PhonemePredictor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PhonemePredictor:
"""Phoneme Predictor module in VISinger."""
def __init__(self, vocabs: int, hidden_channels: int=192, attention_dim: int=192, attention_heads: int=2, linear_units: int=768, blocks: int=2, positionwise_layer_type: str='conv1d', positionwise_conv_kernel_size: int=3, positiona... | stack_v2_sparse_classes_75kplus_train_001315 | 4,212 | permissive | [
{
"docstring": "Initialize PhonemePredictor module. Args: vocabs (int): The number of vocabulary. hidden_channels (int): The number of hidden channels. attention_dim (int): The number of attention dimension. attention_heads (int): The number of attention heads. linear_units (int): The number of linear units. bl... | 2 | null | Implement the Python class `PhonemePredictor` described below.
Class description:
Phoneme Predictor module in VISinger.
Method signatures and docstrings:
- def __init__(self, vocabs: int, hidden_channels: int=192, attention_dim: int=192, attention_heads: int=2, linear_units: int=768, blocks: int=2, positionwise_layer... | Implement the Python class `PhonemePredictor` described below.
Class description:
Phoneme Predictor module in VISinger.
Method signatures and docstrings:
- def __init__(self, vocabs: int, hidden_channels: int=192, attention_dim: int=192, attention_heads: int=2, linear_units: int=768, blocks: int=2, positionwise_layer... | bcd20948db7846ee523443ef9fd78c7a1248c95e | <|skeleton|>
class PhonemePredictor:
"""Phoneme Predictor module in VISinger."""
def __init__(self, vocabs: int, hidden_channels: int=192, attention_dim: int=192, attention_heads: int=2, linear_units: int=768, blocks: int=2, positionwise_layer_type: str='conv1d', positionwise_conv_kernel_size: int=3, positiona... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PhonemePredictor:
"""Phoneme Predictor module in VISinger."""
def __init__(self, vocabs: int, hidden_channels: int=192, attention_dim: int=192, attention_heads: int=2, linear_units: int=768, blocks: int=2, positionwise_layer_type: str='conv1d', positionwise_conv_kernel_size: int=3, positional_encoding_la... | the_stack_v2_python_sparse | espnet2/gan_svs/vits/phoneme_predictor.py | espnet/espnet | train | 7,242 |
da310b3991feb15ed362c955412aefb1f5b50f75 | [
"for treasury in self:\n if treasury.date_from:\n self.env['payment.treasury'].compute_payments(treasury.id, treasury.date_from)\nreturn True",
"for treasury in self:\n if treasury.date_from:\n self.env['sale.purchase.treasury'].compute_sale_purchase(treasury.id, treasury.date_from)\nreturn Tr... | <|body_start_0|>
for treasury in self:
if treasury.date_from:
self.env['payment.treasury'].compute_payments(treasury.id, treasury.date_from)
return True
<|end_body_0|>
<|body_start_1|>
for treasury in self:
if treasury.date_from:
self.env[... | Object for the treasury | treasury | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class treasury:
"""Object for the treasury"""
def compute_payment_list(self):
"""Fonction qui calcule les payments fait sur l'année sélectionnée"""
<|body_0|>
def compute_sale_purchase_list(self):
"""Fonction qui calcule le montant des ventes et achats en cours"""
... | stack_v2_sparse_classes_75kplus_train_001316 | 43,695 | no_license | [
{
"docstring": "Fonction qui calcule les payments fait sur l'année sélectionnée",
"name": "compute_payment_list",
"signature": "def compute_payment_list(self)"
},
{
"docstring": "Fonction qui calcule le montant des ventes et achats en cours",
"name": "compute_sale_purchase_list",
"signat... | 4 | stack_v2_sparse_classes_30k_train_048720 | Implement the Python class `treasury` described below.
Class description:
Object for the treasury
Method signatures and docstrings:
- def compute_payment_list(self): Fonction qui calcule les payments fait sur l'année sélectionnée
- def compute_sale_purchase_list(self): Fonction qui calcule le montant des ventes et ac... | Implement the Python class `treasury` described below.
Class description:
Object for the treasury
Method signatures and docstrings:
- def compute_payment_list(self): Fonction qui calcule les payments fait sur l'année sélectionnée
- def compute_sale_purchase_list(self): Fonction qui calcule le montant des ventes et ac... | eb394e1f79ba1995da2dcd81adfdd511c22caff9 | <|skeleton|>
class treasury:
"""Object for the treasury"""
def compute_payment_list(self):
"""Fonction qui calcule les payments fait sur l'année sélectionnée"""
<|body_0|>
def compute_sale_purchase_list(self):
"""Fonction qui calcule le montant des ventes et achats en cours"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class treasury:
"""Object for the treasury"""
def compute_payment_list(self):
"""Fonction qui calcule les payments fait sur l'année sélectionnée"""
for treasury in self:
if treasury.date_from:
self.env['payment.treasury'].compute_payments(treasury.id, treasury.date_f... | the_stack_v2_python_sparse | OpenPROD/openprod-addons/control_management/treasury.py | kazacube-mziouadi/ceci | train | 0 |
1b777e3718fd08ed139698530a101d848cb29f8d | [
"super(LSTMEncoder, self).__init__(embed=L.EmbedID(in_size, embed_size), lstm=L.NStepLSTM(n_layers, embed_size, out_size, dropout))\nfor param in self.params():\n param.data[...] = np.random.uniform(-0.1, 0.1, param.data.shape)",
"if len(xs) > 1:\n sections = np.cumsum(np.array([len(x) for x in xs[:-1]], dt... | <|body_start_0|>
super(LSTMEncoder, self).__init__(embed=L.EmbedID(in_size, embed_size), lstm=L.NStepLSTM(n_layers, embed_size, out_size, dropout))
for param in self.params():
param.data[...] = np.random.uniform(-0.1, 0.1, param.data.shape)
<|end_body_0|>
<|body_start_1|>
if len(xs)... | LSTMEncoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTMEncoder:
def __init__(self, n_layers, in_size, out_size, embed_size, dropout=0.5):
"""Initialize encoder with structure parameters Args: n_layers (int): Number of layers. in_size (int): Dimensionality of input vectors. out_size (int) : Dimensionality of hidden vectors to be output. e... | stack_v2_sparse_classes_75kplus_train_001317 | 2,094 | permissive | [
{
"docstring": "Initialize encoder with structure parameters Args: n_layers (int): Number of layers. in_size (int): Dimensionality of input vectors. out_size (int) : Dimensionality of hidden vectors to be output. embed_size (int): Dimensionality of word embedding. dropout (float): Dropout ratio.",
"name": "... | 2 | null | Implement the Python class `LSTMEncoder` described below.
Class description:
Implement the LSTMEncoder class.
Method signatures and docstrings:
- def __init__(self, n_layers, in_size, out_size, embed_size, dropout=0.5): Initialize encoder with structure parameters Args: n_layers (int): Number of layers. in_size (int)... | Implement the Python class `LSTMEncoder` described below.
Class description:
Implement the LSTMEncoder class.
Method signatures and docstrings:
- def __init__(self, n_layers, in_size, out_size, embed_size, dropout=0.5): Initialize encoder with structure parameters Args: n_layers (int): Number of layers. in_size (int)... | f142c3025e03adef99c0d97be663f0799adf5524 | <|skeleton|>
class LSTMEncoder:
def __init__(self, n_layers, in_size, out_size, embed_size, dropout=0.5):
"""Initialize encoder with structure parameters Args: n_layers (int): Number of layers. in_size (int): Dimensionality of input vectors. out_size (int) : Dimensionality of hidden vectors to be output. e... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LSTMEncoder:
def __init__(self, n_layers, in_size, out_size, embed_size, dropout=0.5):
"""Initialize encoder with structure parameters Args: n_layers (int): Number of layers. in_size (int): Dimensionality of input vectors. out_size (int) : Dimensionality of hidden vectors to be output. embed_size (int... | the_stack_v2_python_sparse | ChatbotBaseline/tools/lstm_encoder.py | katherinelyx/DSTC6-End-to-End-Conversation-Modeling | train | 0 | |
626a0df7be36587dd3ff4ba78ec3ef0915a117ee | [
"user = self.model(username=username, auth_groups=[], auth_roles=[], email=self.normalize_email(email))\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(username=username, email=self.normalize_email(email))\nuser.is_superuser = True\nuser.auth_groups = []\nuser.auth_... | <|body_start_0|>
user = self.model(username=username, auth_groups=[], auth_roles=[], email=self.normalize_email(email))
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body_start_1|>
user = self.create_user(username=username, email=self.normali... | MyUserManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyUserManager:
def create_user(self, username, email, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, username, email, password):
"""Creates and saves a superuser with the given em... | stack_v2_sparse_classes_75kplus_train_001318 | 2,419 | permissive | [
{
"docstring": "Creates and saves a User with the given email, date of birth and password.",
"name": "create_user",
"signature": "def create_user(self, username, email, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given email, date of birth and password.",
"name"... | 2 | stack_v2_sparse_classes_30k_train_031469 | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, username, email, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, username,... | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, username, email, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, username,... | 52831b2de2e0ce734d567289f3b10d720bce8a9e | <|skeleton|>
class MyUserManager:
def create_user(self, username, email, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, username, email, password):
"""Creates and saves a superuser with the given em... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyUserManager:
def create_user(self, username, email, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
user = self.model(username=username, auth_groups=[], auth_roles=[], email=self.normalize_email(email))
user.set_password(password)
... | the_stack_v2_python_sparse | coordinator/models.py | kids-first/kf-api-release-coordinator | train | 2 | |
93965f7990b3f3f128d051b99b6e550b136ab733 | [
"if not (is_scalar(prior) or isinstance(prior, Beta) or is_any_numeric_map(prior) or is_any_beta_map(prior)):\n raise ValueError('wrong type for prior')\nif not (is_scalar(likelihood) or isinstance(likelihood, Beta) or is_any_numeric_map(likelihood) or is_any_beta_map(likelihood)):\n raise ValueError('wrong t... | <|body_start_0|>
if not (is_scalar(prior) or isinstance(prior, Beta) or is_any_numeric_map(prior) or is_any_beta_map(prior)):
raise ValueError('wrong type for prior')
if not (is_scalar(likelihood) or isinstance(likelihood, Beta) or is_any_numeric_map(likelihood) or is_any_beta_map(likelihood... | Class for testing one or more binary hypotheses using Bayes Rule. | BinaryBayesRule | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BinaryBayesRule:
"""Class for testing one or more binary hypotheses using Bayes Rule."""
def __init__(self, prior: Union[float, Beta, AnyFloatMap, AnyBetaMap], likelihood: Union[float, Beta, AnyFloatMap, AnyBetaMap]):
"""Create a new Bayes Rule object from: - the prior P(A) - the lik... | stack_v2_sparse_classes_75kplus_train_001319 | 2,366 | permissive | [
{
"docstring": "Create a new Bayes Rule object from: - the prior P(A) - the likelihood P(B|A) - the evidence P(B) :param prior: Single figure or Beta-distributed probability representing the hypothesis. :param likelihood: Series with values of Dirichlet likelihoods.",
"name": "__init__",
"signature": "d... | 2 | stack_v2_sparse_classes_30k_train_017060 | Implement the Python class `BinaryBayesRule` described below.
Class description:
Class for testing one or more binary hypotheses using Bayes Rule.
Method signatures and docstrings:
- def __init__(self, prior: Union[float, Beta, AnyFloatMap, AnyBetaMap], likelihood: Union[float, Beta, AnyFloatMap, AnyBetaMap]): Create... | Implement the Python class `BinaryBayesRule` described below.
Class description:
Class for testing one or more binary hypotheses using Bayes Rule.
Method signatures and docstrings:
- def __init__(self, prior: Union[float, Beta, AnyFloatMap, AnyBetaMap], likelihood: Union[float, Beta, AnyFloatMap, AnyBetaMap]): Create... | ff3f5434d3da0d46b127b02cf733699e5a43c904 | <|skeleton|>
class BinaryBayesRule:
"""Class for testing one or more binary hypotheses using Bayes Rule."""
def __init__(self, prior: Union[float, Beta, AnyFloatMap, AnyBetaMap], likelihood: Union[float, Beta, AnyFloatMap, AnyBetaMap]):
"""Create a new Bayes Rule object from: - the prior P(A) - the lik... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BinaryBayesRule:
"""Class for testing one or more binary hypotheses using Bayes Rule."""
def __init__(self, prior: Union[float, Beta, AnyFloatMap, AnyBetaMap], likelihood: Union[float, Beta, AnyFloatMap, AnyBetaMap]):
"""Create a new Bayes Rule object from: - the prior P(A) - the likelihood P(B|A... | the_stack_v2_python_sparse | probability/calculations/bayes_rule/binary_bayes_rule.py | vahndi/probability | train | 3 |
b62ec78cfa99f58b158cfb398dcf1567b56a68eb | [
"publications = []\njournals = []\nfor pub in pub_list:\n if drug_name in pub.title.upper():\n publications.append({'title': pub.title, 'publication_date': pub.pub_date})\n journals.append({'journal': pub.journal, 'publication_date': pub.pub_date})\nreturn (publications, journals)",
"graph = {}\n... | <|body_start_0|>
publications = []
journals = []
for pub in pub_list:
if drug_name in pub.title.upper():
publications.append({'title': pub.title, 'publication_date': pub.pub_date})
journals.append({'journal': pub.journal, 'publication_date': pub.pub_da... | This class is responsible for generating a graph showing the relation between the drugs and medical publications, clinical trialas, and journals. | PublicationInfoService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PublicationInfoService:
"""This class is responsible for generating a graph showing the relation between the drugs and medical publications, clinical trialas, and journals."""
def find_mentions(self, drug_name, pub_list):
"""Finds the list of medical publication or clinical trials in... | stack_v2_sparse_classes_75kplus_train_001320 | 2,518 | no_license | [
{
"docstring": "Finds the list of medical publication or clinical trials in which the drug is mentions. It also generates the list of journals mentioning the drug along with its publication date. :param drug_name: the name of the drug :param pub_list: the list of the Publications :return: a tuble containing fir... | 2 | stack_v2_sparse_classes_30k_train_020068 | Implement the Python class `PublicationInfoService` described below.
Class description:
This class is responsible for generating a graph showing the relation between the drugs and medical publications, clinical trialas, and journals.
Method signatures and docstrings:
- def find_mentions(self, drug_name, pub_list): Fi... | Implement the Python class `PublicationInfoService` described below.
Class description:
This class is responsible for generating a graph showing the relation between the drugs and medical publications, clinical trialas, and journals.
Method signatures and docstrings:
- def find_mentions(self, drug_name, pub_list): Fi... | 5a1375bced6ba27c1504faa198703f0ec3f2eccd | <|skeleton|>
class PublicationInfoService:
"""This class is responsible for generating a graph showing the relation between the drugs and medical publications, clinical trialas, and journals."""
def find_mentions(self, drug_name, pub_list):
"""Finds the list of medical publication or clinical trials in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PublicationInfoService:
"""This class is responsible for generating a graph showing the relation between the drugs and medical publications, clinical trialas, and journals."""
def find_mentions(self, drug_name, pub_list):
"""Finds the list of medical publication or clinical trials in which the dr... | the_stack_v2_python_sparse | drug_analysis_pipeline/src/service/publication_info_service.py | navilaji/servier-medics-data-pipeline | train | 0 |
aae80aa54f097f48155dcca93701c06ae5fc4d82 | [
"datos_persona = ('41694463V', 'Jose Lopez', 'Guest', 'jllopez@inf.uc3m.es', 'SIEMPRE')\nwith self.assertRaises(AccessManagementException) as res:\n AccessManager().request_access_code(datos_persona)\nself.assertEqual(res.exception.message, 'Número de días no válido')",
"datos_persona = ('41694463V', 'Jose Lop... | <|body_start_0|>
datos_persona = ('41694463V', 'Jose Lopez', 'Guest', 'jllopez@inf.uc3m.es', 'SIEMPRE')
with self.assertRaises(AccessManagementException) as res:
AccessManager().request_access_code(datos_persona)
self.assertEqual(res.exception.message, 'Número de días no válido')
<|e... | Clase para probar request_access_code | MyTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyTestCase:
"""Clase para probar request_access_code"""
def test_request_access_code_validity_not_a_number(self):
"""Validity no es un número"""
<|body_0|>
def test_request_access_code_validity_resident_days_not_0(self):
"""El AccessType es Resient y la validity ... | stack_v2_sparse_classes_75kplus_train_001321 | 2,690 | no_license | [
{
"docstring": "Validity no es un número",
"name": "test_request_access_code_validity_not_a_number",
"signature": "def test_request_access_code_validity_not_a_number(self)"
},
{
"docstring": "El AccessType es Resient y la validity no es 0",
"name": "test_request_access_code_validity_resident... | 6 | stack_v2_sparse_classes_30k_train_038720 | Implement the Python class `MyTestCase` described below.
Class description:
Clase para probar request_access_code
Method signatures and docstrings:
- def test_request_access_code_validity_not_a_number(self): Validity no es un número
- def test_request_access_code_validity_resident_days_not_0(self): El AccessType es R... | Implement the Python class `MyTestCase` described below.
Class description:
Clase para probar request_access_code
Method signatures and docstrings:
- def test_request_access_code_validity_not_a_number(self): Validity no es un número
- def test_request_access_code_validity_resident_days_not_0(self): El AccessType es R... | 3ea97edc2ae23ead6419c3d8d96f2df8e230edc7 | <|skeleton|>
class MyTestCase:
"""Clase para probar request_access_code"""
def test_request_access_code_validity_not_a_number(self):
"""Validity no es un número"""
<|body_0|>
def test_request_access_code_validity_resident_days_not_0(self):
"""El AccessType es Resient y la validity ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyTestCase:
"""Clase para probar request_access_code"""
def test_request_access_code_validity_not_a_number(self):
"""Validity no es un número"""
datos_persona = ('41694463V', 'Jose Lopez', 'Guest', 'jllopez@inf.uc3m.es', 'SIEMPRE')
with self.assertRaises(AccessManagementException)... | the_stack_v2_python_sparse | src/unittest/python/test_request_access_code_2_tests.py | Gllosa/G80.T08.EG3 | train | 0 |
f3b928986c0b8b3588b0b5e195041c07725e641f | [
"res = super(StudentAttendanceByMonth, self).default_get(fields)\nstudents = self.env['student.student'].browse(self._context.get('active_id'))\nif students.state == 'draft':\n raise ValidationError(_('You can not print report for student in unconfirm state!'))\nreturn res",
"stud_search = self.env['student.st... | <|body_start_0|>
res = super(StudentAttendanceByMonth, self).default_get(fields)
students = self.env['student.student'].browse(self._context.get('active_id'))
if students.state == 'draft':
raise ValidationError(_('You can not print report for student in unconfirm state!'))
re... | Defining Student Attendance By Month. | StudentAttendanceByMonth | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StudentAttendanceByMonth:
"""Defining Student Attendance By Month."""
def default_get(self, fields):
"""Overriding DefaultGet."""
<|body_0|>
def print_report(self):
"""This method prints report @param self : Object Pointer @param cr : Database Cursor @param uid :... | stack_v2_sparse_classes_75kplus_train_001322 | 2,598 | no_license | [
{
"docstring": "Overriding DefaultGet.",
"name": "default_get",
"signature": "def default_get(self, fields)"
},
{
"docstring": "This method prints report @param self : Object Pointer @param cr : Database Cursor @param uid : Current Logged in User @param ids : Current Records @param context : sta... | 2 | stack_v2_sparse_classes_30k_train_020562 | Implement the Python class `StudentAttendanceByMonth` described below.
Class description:
Defining Student Attendance By Month.
Method signatures and docstrings:
- def default_get(self, fields): Overriding DefaultGet.
- def print_report(self): This method prints report @param self : Object Pointer @param cr : Databas... | Implement the Python class `StudentAttendanceByMonth` described below.
Class description:
Defining Student Attendance By Month.
Method signatures and docstrings:
- def default_get(self, fields): Overriding DefaultGet.
- def print_report(self): This method prints report @param self : Object Pointer @param cr : Databas... | 6a9793f3a15da9eed40bf840b1d9a46457c5fd55 | <|skeleton|>
class StudentAttendanceByMonth:
"""Defining Student Attendance By Month."""
def default_get(self, fields):
"""Overriding DefaultGet."""
<|body_0|>
def print_report(self):
"""This method prints report @param self : Object Pointer @param cr : Database Cursor @param uid :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StudentAttendanceByMonth:
"""Defining Student Attendance By Month."""
def default_get(self, fields):
"""Overriding DefaultGet."""
res = super(StudentAttendanceByMonth, self).default_get(fields)
students = self.env['student.student'].browse(self._context.get('active_id'))
i... | the_stack_v2_python_sparse | school_attendance/wizard/student_attendance_by_month.py | JayVora-SerpentCS/OdooEduERP | train | 121 |
cc7468515370e4a4845ed45bba1746e7a3b83941 | [
"super().__init__()\nself.config = params\ntry:\n self.my_device = self.config['my_device']\nexcept:\n self.my_device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n'\\n NV uses padding = \"same\" to preserve the input and output size of conv.\\n We can do the same as follows:... | <|body_start_0|>
super().__init__()
self.config = params
try:
self.my_device = self.config['my_device']
except:
self.my_device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
'\n NV uses padding = "same" to preserve the input and ou... | Implement the architecture from Nielsen and Voigt (2018) | NVCNN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NVCNN:
"""Implement the architecture from Nielsen and Voigt (2018)"""
def __init__(self, params):
"""Params are: vocab_size: the number of dimensions in the 1-hot encoding lr: learning rate filter_number: number of filters (in NV, 1-512) filter_len: length of filters (in NV, 1-48) nu... | stack_v2_sparse_classes_75kplus_train_001323 | 34,560 | no_license | [
{
"docstring": "Params are: vocab_size: the number of dimensions in the 1-hot encoding lr: learning rate filter_number: number of filters (in NV, 1-512) filter_len: length of filters (in NV, 1-48) num_dense_nodes: size of dense layer after filters input_len: length of input (batch_size, vocab_size, input_len) n... | 2 | stack_v2_sparse_classes_30k_train_016433 | Implement the Python class `NVCNN` described below.
Class description:
Implement the architecture from Nielsen and Voigt (2018)
Method signatures and docstrings:
- def __init__(self, params): Params are: vocab_size: the number of dimensions in the 1-hot encoding lr: learning rate filter_number: number of filters (in ... | Implement the Python class `NVCNN` described below.
Class description:
Implement the architecture from Nielsen and Voigt (2018)
Method signatures and docstrings:
- def __init__(self, params): Params are: vocab_size: the number of dimensions in the 1-hot encoding lr: learning rate filter_number: number of filters (in ... | b850f7c91e16e3dacca4d3b6377c77502960dd19 | <|skeleton|>
class NVCNN:
"""Implement the architecture from Nielsen and Voigt (2018)"""
def __init__(self, params):
"""Params are: vocab_size: the number of dimensions in the 1-hot encoding lr: learning rate filter_number: number of filters (in NV, 1-512) filter_len: length of filters (in NV, 1-48) nu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NVCNN:
"""Implement the architecture from Nielsen and Voigt (2018)"""
def __init__(self, params):
"""Params are: vocab_size: the number of dimensions in the 1-hot encoding lr: learning rate filter_number: number of filters (in NV, 1-512) filter_len: length of filters (in NV, 1-48) num_dense_nodes... | the_stack_v2_python_sparse | common/mytorch.py | altLabs/attrib | train | 1 |
7b80b4729b055503c80de3aee520dc092a4a9a25 | [
"context = super().get_context_data(**kwargs)\ncar = APIHelper.get_from_api('car/' + id, self.request.user.auth_token)\ntask_list = APIHelper.get_from_api('car/' + id + '/tasks/', self.request.user.auth_token)\npart_list = APIHelper.get_from_api('parts/', self.request.user.auth_token)\ncontext['car'] = car\ncontext... | <|body_start_0|>
context = super().get_context_data(**kwargs)
car = APIHelper.get_from_api('car/' + id, self.request.user.auth_token)
task_list = APIHelper.get_from_api('car/' + id + '/tasks/', self.request.user.auth_token)
part_list = APIHelper.get_from_api('parts/', self.request.user.a... | Class that handles the car detail frontend view GET - Returns default template POST - Sends complete date for a task | CarView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CarView:
"""Class that handles the car detail frontend view GET - Returns default template POST - Sends complete date for a task"""
def get_context_data(self, id, **kwargs):
"""Override the get_context_data method to add new data to the context dictionary that is passed to the templa... | stack_v2_sparse_classes_75kplus_train_001324 | 2,202 | no_license | [
{
"docstring": "Override the get_context_data method to add new data to the context dictionary that is passed to the template",
"name": "get_context_data",
"signature": "def get_context_data(self, id, **kwargs)"
},
{
"docstring": "Used to complete a task",
"name": "post",
"signature": "d... | 2 | stack_v2_sparse_classes_30k_train_010528 | Implement the Python class `CarView` described below.
Class description:
Class that handles the car detail frontend view GET - Returns default template POST - Sends complete date for a task
Method signatures and docstrings:
- def get_context_data(self, id, **kwargs): Override the get_context_data method to add new da... | Implement the Python class `CarView` described below.
Class description:
Class that handles the car detail frontend view GET - Returns default template POST - Sends complete date for a task
Method signatures and docstrings:
- def get_context_data(self, id, **kwargs): Override the get_context_data method to add new da... | 3a768f37e14732b79f3f0d28e772cec38a6a9ed1 | <|skeleton|>
class CarView:
"""Class that handles the car detail frontend view GET - Returns default template POST - Sends complete date for a task"""
def get_context_data(self, id, **kwargs):
"""Override the get_context_data method to add new data to the context dictionary that is passed to the templa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CarView:
"""Class that handles the car detail frontend view GET - Returns default template POST - Sends complete date for a task"""
def get_context_data(self, id, **kwargs):
"""Override the get_context_data method to add new data to the context dictionary that is passed to the template"""
... | the_stack_v2_python_sparse | frontend/views/car_view.py | kevinbooth/redline | train | 2 |
0b5ea9cb721ea9c4caeac2b5d2b7f0d08ecfc156 | [
"group_management_page = GroupManagementPage(self.driver)\ngroup_management_page.new_group(data['groupName'], data['groupInfo'], data['groupType'], data['participants'])\ngroup_management_page.filter_search(data['groupName'])\nself.assertIsNotNone(self.driver.get_element(group_management_page.elements['listGroupNam... | <|body_start_0|>
group_management_page = GroupManagementPage(self.driver)
group_management_page.new_group(data['groupName'], data['groupInfo'], data['groupType'], data['participants'])
group_management_page.filter_search(data['groupName'])
self.assertIsNotNone(self.driver.get_element(gro... | GroupManagementTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GroupManagementTestCase:
def test_new_group_success_1(self, data):
"""新建分组,成功"""
<|body_0|>
def test_new_group_failed_1(self, data):
"""新建分组名称为空失败"""
<|body_1|>
def test_new_group_failed_2(self, data):
"""新建分组异常失败"""
<|body_2|>
<|end_ske... | stack_v2_sparse_classes_75kplus_train_001325 | 1,996 | no_license | [
{
"docstring": "新建分组,成功",
"name": "test_new_group_success_1",
"signature": "def test_new_group_success_1(self, data)"
},
{
"docstring": "新建分组名称为空失败",
"name": "test_new_group_failed_1",
"signature": "def test_new_group_failed_1(self, data)"
},
{
"docstring": "新建分组异常失败",
"name"... | 3 | stack_v2_sparse_classes_30k_train_030336 | Implement the Python class `GroupManagementTestCase` described below.
Class description:
Implement the GroupManagementTestCase class.
Method signatures and docstrings:
- def test_new_group_success_1(self, data): 新建分组,成功
- def test_new_group_failed_1(self, data): 新建分组名称为空失败
- def test_new_group_failed_2(self, data): 新... | Implement the Python class `GroupManagementTestCase` described below.
Class description:
Implement the GroupManagementTestCase class.
Method signatures and docstrings:
- def test_new_group_success_1(self, data): 新建分组,成功
- def test_new_group_failed_1(self, data): 新建分组名称为空失败
- def test_new_group_failed_2(self, data): 新... | 62dcefdccad1b91827072e41356976309cad5ea5 | <|skeleton|>
class GroupManagementTestCase:
def test_new_group_success_1(self, data):
"""新建分组,成功"""
<|body_0|>
def test_new_group_failed_1(self, data):
"""新建分组名称为空失败"""
<|body_1|>
def test_new_group_failed_2(self, data):
"""新建分组异常失败"""
<|body_2|>
<|end_ske... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GroupManagementTestCase:
def test_new_group_success_1(self, data):
"""新建分组,成功"""
group_management_page = GroupManagementPage(self.driver)
group_management_page.new_group(data['groupName'], data['groupInfo'], data['groupType'], data['participants'])
group_management_page.filter_... | the_stack_v2_python_sparse | testcase/test_groupManagement.py | zhanghaoyu1990/UItestframework | train | 0 | |
0d054061e0bc001ff209e6613991f2bea01f5828 | [
"self.img_folder = img_folder\nself.opts = opts\nself.file_names = get_images(img_folder)",
"p = np.random.RandomState(seed=self.opts.seeds).permutation(len(self.file_names))\ndata = np.asarray(self.file_names)[p]\ncutoff = np.int(len(data) * self.opts.split)\ntrain_x, test_x = (data[:cutoff], data[cutoff:])\nret... | <|body_start_0|>
self.img_folder = img_folder
self.opts = opts
self.file_names = get_images(img_folder)
<|end_body_0|>
<|body_start_1|>
p = np.random.RandomState(seed=self.opts.seeds).permutation(len(self.file_names))
data = np.asarray(self.file_names)[p]
cutoff = np.int... | Dataloader class used to load in data in an image folder. Made it so that it performs a fixed set of transformations to a pair of images in different folders | read_data | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class read_data:
"""Dataloader class used to load in data in an image folder. Made it so that it performs a fixed set of transformations to a pair of images in different folders"""
def __init__(self, opts, img_folder):
""":param opts: :param img_folder: :param attribute_file:"""
<|... | stack_v2_sparse_classes_75kplus_train_001326 | 6,456 | no_license | [
{
"docstring": ":param opts: :param img_folder: :param attribute_file:",
"name": "__init__",
"signature": "def __init__(self, opts, img_folder)"
},
{
"docstring": "Given the data that's loaded above, returns a data that's been split into training and test set. :param split: what % of the data sh... | 2 | stack_v2_sparse_classes_30k_train_020346 | Implement the Python class `read_data` described below.
Class description:
Dataloader class used to load in data in an image folder. Made it so that it performs a fixed set of transformations to a pair of images in different folders
Method signatures and docstrings:
- def __init__(self, opts, img_folder): :param opts... | Implement the Python class `read_data` described below.
Class description:
Dataloader class used to load in data in an image folder. Made it so that it performs a fixed set of transformations to a pair of images in different folders
Method signatures and docstrings:
- def __init__(self, opts, img_folder): :param opts... | 112bb366dd7e65a75e8a415f7b31aff1704971df | <|skeleton|>
class read_data:
"""Dataloader class used to load in data in an image folder. Made it so that it performs a fixed set of transformations to a pair of images in different folders"""
def __init__(self, opts, img_folder):
""":param opts: :param img_folder: :param attribute_file:"""
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class read_data:
"""Dataloader class used to load in data in an image folder. Made it so that it performs a fixed set of transformations to a pair of images in different folders"""
def __init__(self, opts, img_folder):
""":param opts: :param img_folder: :param attribute_file:"""
self.img_folder... | the_stack_v2_python_sparse | LearningVisualFeaturesfromLargeWeaklySupervisedData/data_loader.py | yk287/ML | train | 1 |
ed57a0ef12a0e866de976591c31c274bee240d23 | [
"if event_name in self.callbacks:\n for callback in self.callbacks[event_name]:\n if args:\n callback(args)\n else:\n callback()",
"print('Add: ', event_name)\ntry:\n if self.callbacks[event_name]:\n self.callbacks[event_name].append(callback)\nexcept KeyError:\n ... | <|body_start_0|>
if event_name in self.callbacks:
for callback in self.callbacks[event_name]:
if args:
callback(args)
else:
callback()
<|end_body_0|>
<|body_start_1|>
print('Add: ', event_name)
try:
... | Interface for event handlers in the game. Can emit events and attach listeners | EventHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventHandler:
"""Interface for event handlers in the game. Can emit events and attach listeners"""
def trigger(self, event_name, args=None):
"""Trigger an event."""
<|body_0|>
def on(self, event_name, callback):
"""Attaches a listener for a specific event to the ... | stack_v2_sparse_classes_75kplus_train_001327 | 947 | no_license | [
{
"docstring": "Trigger an event.",
"name": "trigger",
"signature": "def trigger(self, event_name, args=None)"
},
{
"docstring": "Attaches a listener for a specific event to the object, and passes a callback to be executed when the event is triggered",
"name": "on",
"signature": "def on(... | 2 | null | Implement the Python class `EventHandler` described below.
Class description:
Interface for event handlers in the game. Can emit events and attach listeners
Method signatures and docstrings:
- def trigger(self, event_name, args=None): Trigger an event.
- def on(self, event_name, callback): Attaches a listener for a s... | Implement the Python class `EventHandler` described below.
Class description:
Interface for event handlers in the game. Can emit events and attach listeners
Method signatures and docstrings:
- def trigger(self, event_name, args=None): Trigger an event.
- def on(self, event_name, callback): Attaches a listener for a s... | 03469910d845d024c6159bc7d119a05ef4e684fe | <|skeleton|>
class EventHandler:
"""Interface for event handlers in the game. Can emit events and attach listeners"""
def trigger(self, event_name, args=None):
"""Trigger an event."""
<|body_0|>
def on(self, event_name, callback):
"""Attaches a listener for a specific event to the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EventHandler:
"""Interface for event handlers in the game. Can emit events and attach listeners"""
def trigger(self, event_name, args=None):
"""Trigger an event."""
if event_name in self.callbacks:
for callback in self.callbacks[event_name]:
if args:
... | the_stack_v2_python_sparse | dq-game/src/events/event_handler.py | sebastianfdez/dq-stack | train | 1 |
b0a668ef3a2e668dce4e85bae1949851c6810a97 | [
"exp_t1 = T1(physical_qubits=physical_qubits, delays=delays_t1, backend=backend)\nexp_options = {'delays_t1': delays_t1, 'delays_t2': delays_t2}\nif t2type == 'ramsey':\n exp_t2 = T2Ramsey(physical_qubits=physical_qubits, delays=delays_t2, backend=backend, osc_freq=osc_freq)\n exp_options['osc_freq'] = osc_fr... | <|body_start_0|>
exp_t1 = T1(physical_qubits=physical_qubits, delays=delays_t1, backend=backend)
exp_options = {'delays_t1': delays_t1, 'delays_t2': delays_t2}
if t2type == 'ramsey':
exp_t2 = T2Ramsey(physical_qubits=physical_qubits, delays=delays_t2, backend=backend, osc_freq=osc_fr... | An experiment to measure the qubit dephasing rate in the :math:`x - y` plane. # section: overview :math:`T_\\varphi`, or :math:`1/\\Gamma_\\varphi`, is the pure dephasing time in the :math:`x - y` plane of the Bloch sphere. We compute :math:`\\Gamma_\\varphi` by computing :math:`\\Gamma_2`, the transverse relaxation ra... | Tphi | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tphi:
"""An experiment to measure the qubit dephasing rate in the :math:`x - y` plane. # section: overview :math:`T_\\varphi`, or :math:`1/\\Gamma_\\varphi`, is the pure dephasing time in the :math:`x - y` plane of the Bloch sphere. We compute :math:`\\Gamma_\\varphi` by computing :math:`\\Gamma_... | stack_v2_sparse_classes_75kplus_train_001328 | 5,633 | permissive | [
{
"docstring": "Initialize the experiment object. Args: physical_qubits: A single-element sequence containing the qubit under test. t2type: What type of T2/T2* experiment to use. Can be either \"ramsey\" for :class:`.T2Ramsey` to be used, or \"hahn\" for :class:`.T2Hahn`. Defaults to \"hahn\". delays_t1: Delay ... | 2 | stack_v2_sparse_classes_30k_train_052714 | Implement the Python class `Tphi` described below.
Class description:
An experiment to measure the qubit dephasing rate in the :math:`x - y` plane. # section: overview :math:`T_\\varphi`, or :math:`1/\\Gamma_\\varphi`, is the pure dephasing time in the :math:`x - y` plane of the Bloch sphere. We compute :math:`\\Gamma... | Implement the Python class `Tphi` described below.
Class description:
An experiment to measure the qubit dephasing rate in the :math:`x - y` plane. # section: overview :math:`T_\\varphi`, or :math:`1/\\Gamma_\\varphi`, is the pure dephasing time in the :math:`x - y` plane of the Bloch sphere. We compute :math:`\\Gamma... | a387675a3fe817cef05b968bbf3e05799a09aaae | <|skeleton|>
class Tphi:
"""An experiment to measure the qubit dephasing rate in the :math:`x - y` plane. # section: overview :math:`T_\\varphi`, or :math:`1/\\Gamma_\\varphi`, is the pure dephasing time in the :math:`x - y` plane of the Bloch sphere. We compute :math:`\\Gamma_\\varphi` by computing :math:`\\Gamma_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Tphi:
"""An experiment to measure the qubit dephasing rate in the :math:`x - y` plane. # section: overview :math:`T_\\varphi`, or :math:`1/\\Gamma_\\varphi`, is the pure dephasing time in the :math:`x - y` plane of the Bloch sphere. We compute :math:`\\Gamma_\\varphi` by computing :math:`\\Gamma_2`, the trans... | the_stack_v2_python_sparse | qiskit_experiments/library/characterization/tphi.py | oliverdial/qiskit-experiments | train | 0 |
e0c5688cbcaa72ef583ce4d6c15278546e7a7a4f | [
"if script_arguments is None:\n script_arguments = list()\nif dependent_pipelines is None and dependent_pipelines_ok_to_fail is None:\n raise ValueError('Must have some dependencies for dependency step')\nprefix_func = lambda p: p if not NAME_PREFIX else NAME_PREFIX + '_' + p\nargument_func = lambda x: [prefi... | <|body_start_0|>
if script_arguments is None:
script_arguments = list()
if dependent_pipelines is None and dependent_pipelines_ok_to_fail is None:
raise ValueError('Must have some dependencies for dependency step')
prefix_func = lambda p: p if not NAME_PREFIX else NAME_PR... | PipelineDependencies Step class that helps wait for other pipelines to finish | PipelineDependenciesStep | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PipelineDependenciesStep:
"""PipelineDependencies Step class that helps wait for other pipelines to finish"""
def __init__(self, id, pipeline_name, dependent_pipelines=None, dependent_pipelines_ok_to_fail=None, refresh_rate=300, start_date=None, script_arguments=None, **kwargs):
"""C... | stack_v2_sparse_classes_75kplus_train_001329 | 3,500 | permissive | [
{
"docstring": "Constructor for the QATransformStep class Args: sns_arn(str): sns topic arn for QA steps script_arguments(list of str): list of arguments to the script **kwargs(optional): Keyword arguments directly passed to base class",
"name": "__init__",
"signature": "def __init__(self, id, pipeline_... | 2 | stack_v2_sparse_classes_30k_val_002432 | Implement the Python class `PipelineDependenciesStep` described below.
Class description:
PipelineDependencies Step class that helps wait for other pipelines to finish
Method signatures and docstrings:
- def __init__(self, id, pipeline_name, dependent_pipelines=None, dependent_pipelines_ok_to_fail=None, refresh_rate=... | Implement the Python class `PipelineDependenciesStep` described below.
Class description:
PipelineDependencies Step class that helps wait for other pipelines to finish
Method signatures and docstrings:
- def __init__(self, id, pipeline_name, dependent_pipelines=None, dependent_pipelines_ok_to_fail=None, refresh_rate=... | 797cb719e6c2abeda0751ada3339c72bfb19c8f2 | <|skeleton|>
class PipelineDependenciesStep:
"""PipelineDependencies Step class that helps wait for other pipelines to finish"""
def __init__(self, id, pipeline_name, dependent_pipelines=None, dependent_pipelines_ok_to_fail=None, refresh_rate=300, start_date=None, script_arguments=None, **kwargs):
"""C... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PipelineDependenciesStep:
"""PipelineDependencies Step class that helps wait for other pipelines to finish"""
def __init__(self, id, pipeline_name, dependent_pipelines=None, dependent_pipelines_ok_to_fail=None, refresh_rate=300, start_date=None, script_arguments=None, **kwargs):
"""Constructor fo... | the_stack_v2_python_sparse | dataduct/steps/pipeline_dependencies.py | EverFi/dataduct | train | 3 |
d9e65f2deae8aa58a79aa81f6582ca953949d7e2 | [
"os.makedirs(os.path.dirname(cls.path_token), exist_ok=True)\nwith open(cls.path_token, 'w+') as f:\n f.write(token)",
"try:\n with open(cls.path_token, 'r') as f:\n return f.read()\nexcept FileNotFoundError:\n pass",
"try:\n os.remove(cls.path_token)\nexcept FileNotFoundError:\n pass"
] | <|body_start_0|>
os.makedirs(os.path.dirname(cls.path_token), exist_ok=True)
with open(cls.path_token, 'w+') as f:
f.write(token)
<|end_body_0|>
<|body_start_1|>
try:
with open(cls.path_token, 'r') as f:
return f.read()
except FileNotFoundError:
... | HfFolder | [
"LGPL-2.1-or-later",
"LicenseRef-scancode-free-unknown",
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HfFolder:
def save_token(cls, token):
"""Save token, creating folder as needed."""
<|body_0|>
def get_token(cls):
"""Get token or None if not existent."""
<|body_1|>
def delete_token(cls):
"""Delete token. Do not fail if token does not exist."""
... | stack_v2_sparse_classes_75kplus_train_001330 | 5,878 | permissive | [
{
"docstring": "Save token, creating folder as needed.",
"name": "save_token",
"signature": "def save_token(cls, token)"
},
{
"docstring": "Get token or None if not existent.",
"name": "get_token",
"signature": "def get_token(cls)"
},
{
"docstring": "Delete token. Do not fail if ... | 3 | stack_v2_sparse_classes_30k_train_010372 | Implement the Python class `HfFolder` described below.
Class description:
Implement the HfFolder class.
Method signatures and docstrings:
- def save_token(cls, token): Save token, creating folder as needed.
- def get_token(cls): Get token or None if not existent.
- def delete_token(cls): Delete token. Do not fail if ... | Implement the Python class `HfFolder` described below.
Class description:
Implement the HfFolder class.
Method signatures and docstrings:
- def save_token(cls, token): Save token, creating folder as needed.
- def get_token(cls): Get token or None if not existent.
- def delete_token(cls): Delete token. Do not fail if ... | b60c741f746877293bb85eed6806736fc8fa0ffd | <|skeleton|>
class HfFolder:
def save_token(cls, token):
"""Save token, creating folder as needed."""
<|body_0|>
def get_token(cls):
"""Get token or None if not existent."""
<|body_1|>
def delete_token(cls):
"""Delete token. Do not fail if token does not exist."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HfFolder:
def save_token(cls, token):
"""Save token, creating folder as needed."""
os.makedirs(os.path.dirname(cls.path_token), exist_ok=True)
with open(cls.path_token, 'w+') as f:
f.write(token)
def get_token(cls):
"""Get token or None if not existent."""
... | the_stack_v2_python_sparse | xtune/src/transformers/hf_api.py | microsoft/unilm | train | 15,313 | |
4d049e638b60c678137b6a7d85543dce34a9d82f | [
"super().__init__(value, msg_id, msg_args)\nself._keys = kwargs.get('keys', ())\nself._msg_args.update({'keys': self._keys})",
"if self._value is None or not self._keys:\n return\nif not isinstance(self._value, dict):\n raise TypeError(lang.t('pytsite.validation@dict_expected', {'got': self.value.__class__.... | <|body_start_0|>
super().__init__(value, msg_id, msg_args)
self._keys = kwargs.get('keys', ())
self._msg_args.update({'keys': self._keys})
<|end_body_0|>
<|body_start_1|>
if self._value is None or not self._keys:
return
if not isinstance(self._value, dict):
... | Check if a dict particular keys' values are not empty. | DictPartsNonEmpty | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DictPartsNonEmpty:
"""Check if a dict particular keys' values are not empty."""
def __init__(self, value=None, msg_id: str=None, msg_args: dict=None, **kwargs):
"""Init."""
<|body_0|>
def _do_validate(self):
"""Do actual validation of the rule."""
<|body_... | stack_v2_sparse_classes_75kplus_train_001331 | 15,784 | permissive | [
{
"docstring": "Init.",
"name": "__init__",
"signature": "def __init__(self, value=None, msg_id: str=None, msg_args: dict=None, **kwargs)"
},
{
"docstring": "Do actual validation of the rule.",
"name": "_do_validate",
"signature": "def _do_validate(self)"
}
] | 2 | null | Implement the Python class `DictPartsNonEmpty` described below.
Class description:
Check if a dict particular keys' values are not empty.
Method signatures and docstrings:
- def __init__(self, value=None, msg_id: str=None, msg_args: dict=None, **kwargs): Init.
- def _do_validate(self): Do actual validation of the rul... | Implement the Python class `DictPartsNonEmpty` described below.
Class description:
Check if a dict particular keys' values are not empty.
Method signatures and docstrings:
- def __init__(self, value=None, msg_id: str=None, msg_args: dict=None, **kwargs): Init.
- def _do_validate(self): Do actual validation of the rul... | e4896722709607bda88b4a69400dcde4bf7e5f0a | <|skeleton|>
class DictPartsNonEmpty:
"""Check if a dict particular keys' values are not empty."""
def __init__(self, value=None, msg_id: str=None, msg_args: dict=None, **kwargs):
"""Init."""
<|body_0|>
def _do_validate(self):
"""Do actual validation of the rule."""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DictPartsNonEmpty:
"""Check if a dict particular keys' values are not empty."""
def __init__(self, value=None, msg_id: str=None, msg_args: dict=None, **kwargs):
"""Init."""
super().__init__(value, msg_id, msg_args)
self._keys = kwargs.get('keys', ())
self._msg_args.update(... | the_stack_v2_python_sparse | pytsite/validation/_rule.py | pytsite/pytsite | train | 12 |
f7a9655c9fa4e3f485dd2dc898fcb34c7f503fa6 | [
"def max(a, b):\n if a > b:\n return a\n return b\nif len(nums) == 0:\n return 0\nif len(nums) == 1:\n return nums[0]\nif len(nums) == 2:\n return max(nums[0], nums[1])\n\ndef my_rob(nums):\n cur, pre = (0, 0)\n for num in nums:\n cur, pre = (max(pre + num, cur), cur)\n return ... | <|body_start_0|>
def max(a, b):
if a > b:
return a
return b
if len(nums) == 0:
return 0
if len(nums) == 1:
return nums[0]
if len(nums) == 2:
return max(nums[0], nums[1])
def my_rob(nums):
cur... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rob(self, nums: List[int]) -> int:
"""213. 打家劫舍 II 执行用时： 32 ms , 在所有 Python3 提交中击败了 95.86% 的用户 内存消耗： 14.8 MB , 在所有 Python3 提交中击败了 75.00% 的用 :param nums: :return:"""
<|body_0|>
def rob5(self, nums: List[int]) -> int:
"""213. 打家劫舍 II 执行用时： 40 ms , 在所有 Pyt... | stack_v2_sparse_classes_75kplus_train_001332 | 3,370 | no_license | [
{
"docstring": "213. 打家劫舍 II 执行用时： 32 ms , 在所有 Python3 提交中击败了 95.86% 的用户 内存消耗： 14.8 MB , 在所有 Python3 提交中击败了 75.00% 的用 :param nums: :return:",
"name": "rob",
"signature": "def rob(self, nums: List[int]) -> int"
},
{
"docstring": "213. 打家劫舍 II 执行用时： 40 ms , 在所有 Python3 提交中击败了 60.10% 的用户 内存消耗： 15 M... | 4 | stack_v2_sparse_classes_30k_train_021144 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rob(self, nums: List[int]) -> int: 213. 打家劫舍 II 执行用时： 32 ms , 在所有 Python3 提交中击败了 95.86% 的用户 内存消耗： 14.8 MB , 在所有 Python3 提交中击败了 75.00% 的用 :param nums: :return:
- def rob5(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rob(self, nums: List[int]) -> int: 213. 打家劫舍 II 执行用时： 32 ms , 在所有 Python3 提交中击败了 95.86% 的用户 内存消耗： 14.8 MB , 在所有 Python3 提交中击败了 75.00% 的用 :param nums: :return:
- def rob5(self... | d613ed8a5a2c15ace7d513965b372d128845d66a | <|skeleton|>
class Solution:
def rob(self, nums: List[int]) -> int:
"""213. 打家劫舍 II 执行用时： 32 ms , 在所有 Python3 提交中击败了 95.86% 的用户 内存消耗： 14.8 MB , 在所有 Python3 提交中击败了 75.00% 的用 :param nums: :return:"""
<|body_0|>
def rob5(self, nums: List[int]) -> int:
"""213. 打家劫舍 II 执行用时： 40 ms , 在所有 Pyt... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def rob(self, nums: List[int]) -> int:
"""213. 打家劫舍 II 执行用时： 32 ms , 在所有 Python3 提交中击败了 95.86% 的用户 内存消耗： 14.8 MB , 在所有 Python3 提交中击败了 75.00% 的用 :param nums: :return:"""
def max(a, b):
if a > b:
return a
return b
if len(nums) == 0:
... | the_stack_v2_python_sparse | array/rob.py | nomboy/leetcode | train | 0 | |
fb371baef65fb4d5662b7e63cab466944ce84474 | [
"search_fields = request.GET.getlist('search_fields', [])\nsearch_values = request.GET.getlist('search', [])\nif len(search_fields) != len(search_values):\n raise GlobalErrorMessage400('search_fields 와 search 가 mapping 이 되지 않습니다. 확인해주세요')\nfilter_dictionary = {'profile': self.request.user.pk}\ndetail_value = 'if... | <|body_start_0|>
search_fields = request.GET.getlist('search_fields', [])
search_values = request.GET.getlist('search', [])
if len(search_fields) != len(search_values):
raise GlobalErrorMessage400('search_fields 와 search 가 mapping 이 되지 않습니다. 확인해주세요')
filter_dictionary = {'pro... | PostView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostView:
def get(self, request):
"""get 에서 http://{{ip}}:{{port}}/record/posts/?search_fields=created_at&search=2020-08-16 위와 같이, search_fields 와 search 를 사용을 하여, Post.objects.all().filter(**filter_dictionary) 와 같이 필터링 가능할수 있도록 구현을 하였습니다. detail 일 경우에는 포함을 하는 경우가 있으면, 그 POST 를 찾아서 돌려 줍니... | stack_v2_sparse_classes_75kplus_train_001333 | 9,797 | no_license | [
{
"docstring": "get 에서 http://{{ip}}:{{port}}/record/posts/?search_fields=created_at&search=2020-08-16 위와 같이, search_fields 와 search 를 사용을 하여, Post.objects.all().filter(**filter_dictionary) 와 같이 필터링 가능할수 있도록 구현을 하였습니다. detail 일 경우에는 포함을 하는 경우가 있으면, 그 POST 를 찾아서 돌려 줍니다.",
"name": "get",
"signature": "def... | 2 | null | Implement the Python class `PostView` described below.
Class description:
Implement the PostView class.
Method signatures and docstrings:
- def get(self, request): get 에서 http://{{ip}}:{{port}}/record/posts/?search_fields=created_at&search=2020-08-16 위와 같이, search_fields 와 search 를 사용을 하여, Post.objects.all().filter(*... | Implement the Python class `PostView` described below.
Class description:
Implement the PostView class.
Method signatures and docstrings:
- def get(self, request): get 에서 http://{{ip}}:{{port}}/record/posts/?search_fields=created_at&search=2020-08-16 위와 같이, search_fields 와 search 를 사용을 하여, Post.objects.all().filter(*... | db1b012c586b2e3bcc6e7a23e9518e7f333ea30b | <|skeleton|>
class PostView:
def get(self, request):
"""get 에서 http://{{ip}}:{{port}}/record/posts/?search_fields=created_at&search=2020-08-16 위와 같이, search_fields 와 search 를 사용을 하여, Post.objects.all().filter(**filter_dictionary) 와 같이 필터링 가능할수 있도록 구현을 하였습니다. detail 일 경우에는 포함을 하는 경우가 있으면, 그 POST 를 찾아서 돌려 줍니... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PostView:
def get(self, request):
"""get 에서 http://{{ip}}:{{port}}/record/posts/?search_fields=created_at&search=2020-08-16 위와 같이, search_fields 와 search 를 사용을 하여, Post.objects.all().filter(**filter_dictionary) 와 같이 필터링 가능할수 있도록 구현을 하였습니다. detail 일 경우에는 포함을 하는 경우가 있으면, 그 POST 를 찾아서 돌려 줍니다."""
... | the_stack_v2_python_sparse | project/record/API/post.py | shunnyjang/Prography-Dahaeng-Backend | train | 0 | |
aaff995ffa4966888ef6a26f9bd5a84e65e7fd97 | [
"super().__init__(event)\nself.user = IDNamePair(event['user_id'], event['user_name'])\nself.channel = IDNamePair(event['channel_id'], event['channel_name'])\nself.team = IDNamePair(event['team_id'], event['team_domain'])\nself.trigger_id = event['trigger_id']\nself.command = event['command']\nself.text = event['te... | <|body_start_0|>
super().__init__(event)
self.user = IDNamePair(event['user_id'], event['user_name'])
self.channel = IDNamePair(event['channel_id'], event['channel_name'])
self.team = IDNamePair(event['team_id'], event['team_domain'])
self.trigger_id = event['trigger_id']
... | SlashCommandInteractiveEvent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SlashCommandInteractiveEvent:
def __init__(self, event: dict):
"""Convenience class to parse a slash command payload from the events API Args: event: the raw event dictionary"""
<|body_0|>
def create_reply(message, ephemeral=False) -> dict:
"""Create a reply suitable... | stack_v2_sparse_classes_75kplus_train_001334 | 4,539 | permissive | [
{
"docstring": "Convenience class to parse a slash command payload from the events API Args: event: the raw event dictionary",
"name": "__init__",
"signature": "def __init__(self, event: dict)"
},
{
"docstring": "Create a reply suitable to send directly back to the invoking HTTP request Args: me... | 2 | stack_v2_sparse_classes_30k_train_037278 | Implement the Python class `SlashCommandInteractiveEvent` described below.
Class description:
Implement the SlashCommandInteractiveEvent class.
Method signatures and docstrings:
- def __init__(self, event: dict): Convenience class to parse a slash command payload from the events API Args: event: the raw event diction... | Implement the Python class `SlashCommandInteractiveEvent` described below.
Class description:
Implement the SlashCommandInteractiveEvent class.
Method signatures and docstrings:
- def __init__(self, event: dict): Convenience class to parse a slash command payload from the events API Args: event: the raw event diction... | 4b026da33695b25033c7667679f3cf552c4bf3b5 | <|skeleton|>
class SlashCommandInteractiveEvent:
def __init__(self, event: dict):
"""Convenience class to parse a slash command payload from the events API Args: event: the raw event dictionary"""
<|body_0|>
def create_reply(message, ephemeral=False) -> dict:
"""Create a reply suitable... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SlashCommandInteractiveEvent:
def __init__(self, event: dict):
"""Convenience class to parse a slash command payload from the events API Args: event: the raw event dictionary"""
super().__init__(event)
self.user = IDNamePair(event['user_id'], event['user_name'])
self.channel = ... | the_stack_v2_python_sparse | terraform/stacks/bot/lambdas/python/slack_automation_bot/slack/web/classes/interactions.py | cloud-sniper/cloud-sniper | train | 184 | |
41121f7a154c23362f9aaebf068ceea38c149db4 | [
"query = TitleQuery(title, **kwargs)\n\n@self.synchronize(wait=query.wait)\ndef assert_title():\n if not query.resolves_for(self):\n raise ExpectationNotMet(query.failure_message)\n return True\nreturn assert_title()",
"query = TitleQuery(title, **kwargs)\n\n@self.synchronize(wait=query.wait)\ndef as... | <|body_start_0|>
query = TitleQuery(title, **kwargs)
@self.synchronize(wait=query.wait)
def assert_title():
if not query.resolves_for(self):
raise ExpectationNotMet(query.failure_message)
return True
return assert_title()
<|end_body_0|>
<|body_st... | DocumentMatchersMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DocumentMatchersMixin:
def assert_title(self, title, **kwargs):
"""Asserts that the page has the given title. Args: title (str | RegexObject): The string or regex that the title should match. **kwargs: Arbitrary keyword arguments for :class:`TitleQuery`. Returns: True Raises: Expectation... | stack_v2_sparse_classes_75kplus_train_001335 | 2,594 | permissive | [
{
"docstring": "Asserts that the page has the given title. Args: title (str | RegexObject): The string or regex that the title should match. **kwargs: Arbitrary keyword arguments for :class:`TitleQuery`. Returns: True Raises: ExpectationNotMet: If the assertion hasn't succeeded during the wait time.",
"name... | 4 | stack_v2_sparse_classes_30k_train_004150 | Implement the Python class `DocumentMatchersMixin` described below.
Class description:
Implement the DocumentMatchersMixin class.
Method signatures and docstrings:
- def assert_title(self, title, **kwargs): Asserts that the page has the given title. Args: title (str | RegexObject): The string or regex that the title ... | Implement the Python class `DocumentMatchersMixin` described below.
Class description:
Implement the DocumentMatchersMixin class.
Method signatures and docstrings:
- def assert_title(self, title, **kwargs): Asserts that the page has the given title. Args: title (str | RegexObject): The string or regex that the title ... | eafd9ac50d02e8b57ef90d767493c8fa2be0739a | <|skeleton|>
class DocumentMatchersMixin:
def assert_title(self, title, **kwargs):
"""Asserts that the page has the given title. Args: title (str | RegexObject): The string or regex that the title should match. **kwargs: Arbitrary keyword arguments for :class:`TitleQuery`. Returns: True Raises: Expectation... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DocumentMatchersMixin:
def assert_title(self, title, **kwargs):
"""Asserts that the page has the given title. Args: title (str | RegexObject): The string or regex that the title should match. **kwargs: Arbitrary keyword arguments for :class:`TitleQuery`. Returns: True Raises: ExpectationNotMet: If the... | the_stack_v2_python_sparse | capybara/node/document_matchers.py | elliterate/capybara.py | train | 63 | |
79a4bbb562a1bd284c9fd53f124f57ffa0841d93 | [
"yaml_this = yamlr.YAML()\nyaml_this.register_class(StandardYAMLTag)\nloaded = yaml_this.load(text_has_anchors_tags)\ncleaned = yaml_clean(loaded)\nself.assertEqual(cleaned, {'greeting': 'hello mary'})",
"loaded = yaml.load(text_has_anchors_tags, Loader=yaml.Loader)\ncleaned = yaml_clean(loaded)\nself.assertEqual... | <|body_start_0|>
yaml_this = yamlr.YAML()
yaml_this.register_class(StandardYAMLTag)
loaded = yaml_this.load(text_has_anchors_tags)
cleaned = yaml_clean(loaded)
self.assertEqual(cleaned, {'greeting': 'hello mary'})
<|end_body_0|>
<|body_start_1|>
loaded = yaml.load(text_h... | These test cases handle conversion between YAML and dictionaries instead of class objects. | YAMLTalk | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class YAMLTalk:
"""These test cases handle conversion between YAML and dictionaries instead of class objects."""
def test_standard_ruamel(self):
"""Standard yaml_tag method for ruamel."""
<|body_0|>
def test_standard_pyyaml(self):
"""Standard yaml_tag method for pyyaml... | stack_v2_sparse_classes_75kplus_train_001336 | 7,417 | permissive | [
{
"docstring": "Standard yaml_tag method for ruamel.",
"name": "test_standard_ruamel",
"signature": "def test_standard_ruamel(self)"
},
{
"docstring": "Standard yaml_tag method for pyyaml.",
"name": "test_standard_pyyaml",
"signature": "def test_standard_pyyaml(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_025962 | Implement the Python class `YAMLTalk` described below.
Class description:
These test cases handle conversion between YAML and dictionaries instead of class objects.
Method signatures and docstrings:
- def test_standard_ruamel(self): Standard yaml_tag method for ruamel.
- def test_standard_pyyaml(self): Standard yaml_... | Implement the Python class `YAMLTalk` described below.
Class description:
These test cases handle conversion between YAML and dictionaries instead of class objects.
Method signatures and docstrings:
- def test_standard_ruamel(self): Standard yaml_tag method for ruamel.
- def test_standard_pyyaml(self): Standard yaml_... | f671b4d75fd45e5cd8deb16395081c0731551b0a | <|skeleton|>
class YAMLTalk:
"""These test cases handle conversion between YAML and dictionaries instead of class objects."""
def test_standard_ruamel(self):
"""Standard yaml_tag method for ruamel."""
<|body_0|>
def test_standard_pyyaml(self):
"""Standard yaml_tag method for pyyaml... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class YAMLTalk:
"""These test cases handle conversion between YAML and dictionaries instead of class objects."""
def test_standard_ruamel(self):
"""Standard yaml_tag method for ruamel."""
yaml_this = yamlr.YAML()
yaml_this.register_class(StandardYAMLTag)
loaded = yaml_this.load(... | the_stack_v2_python_sparse | ortho/test_yaml.py | bradleyrp/ortho | train | 0 |
e0977fc86d832332beadc5d949f5e66b4b981364 | [
"if not root:\n return '[]'\nqueue = [root]\nans = []\nwhile queue:\n tmp = queue.pop(0)\n if tmp is None:\n ans.append('null')\n else:\n ans.append(str(tmp.val))\n queue.append(tmp.left)\n queue.append(tmp.right)\nreturn '[' + ','.join(ans) + ']'",
"if data == '[]':\n r... | <|body_start_0|>
if not root:
return '[]'
queue = [root]
ans = []
while queue:
tmp = queue.pop(0)
if tmp is None:
ans.append('null')
else:
ans.append(str(tmp.val))
queue.append(tmp.left)
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_001337 | 3,154 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 2a370ddfbf3200f6922429e65b60e6cbb74705a0 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return '[]'
queue = [root]
ans = []
while queue:
tmp = queue.pop(0)
if tmp is None:
ans.append('n... | the_stack_v2_python_sparse | 297.二叉树的序列化与反序列化.py | liuchangling/leetcode | train | 0 | |
0cf74fe152a4cf94f4f22190dd45c879a96611e3 | [
"if isinstance(start_date, str):\n start_date = parser.parse(start_date).date()\nif isinstance(end_date, str):\n end_date = parser.parse(end_date).date()\ncluster_id = get_cluster_id_from_provider(openshift_provider_uuid)\nwith OCPReportDBAccessor(self._schema) as accessor:\n report_period = accessor.repor... | <|body_start_0|>
if isinstance(start_date, str):
start_date = parser.parse(start_date).date()
if isinstance(end_date, str):
end_date = parser.parse(end_date).date()
cluster_id = get_cluster_id_from_provider(openshift_provider_uuid)
with OCPReportDBAccessor(self._s... | Class to update OCP report summary data. | OCPCloudParquetReportSummaryUpdater | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OCPCloudParquetReportSummaryUpdater:
"""Class to update OCP report summary data."""
def update_aws_summary_tables(self, openshift_provider_uuid, aws_provider_uuid, start_date, end_date):
"""Update operations specifically for OpenShift on AWS."""
<|body_0|>
def update_azu... | stack_v2_sparse_classes_75kplus_train_001338 | 7,056 | permissive | [
{
"docstring": "Update operations specifically for OpenShift on AWS.",
"name": "update_aws_summary_tables",
"signature": "def update_aws_summary_tables(self, openshift_provider_uuid, aws_provider_uuid, start_date, end_date)"
},
{
"docstring": "Update operations specifically for OpenShift on Azur... | 2 | stack_v2_sparse_classes_30k_train_039276 | Implement the Python class `OCPCloudParquetReportSummaryUpdater` described below.
Class description:
Class to update OCP report summary data.
Method signatures and docstrings:
- def update_aws_summary_tables(self, openshift_provider_uuid, aws_provider_uuid, start_date, end_date): Update operations specifically for Op... | Implement the Python class `OCPCloudParquetReportSummaryUpdater` described below.
Class description:
Class to update OCP report summary data.
Method signatures and docstrings:
- def update_aws_summary_tables(self, openshift_provider_uuid, aws_provider_uuid, start_date, end_date): Update operations specifically for Op... | 88e2d679148d0e4735c5018faada638f73d4dc5c | <|skeleton|>
class OCPCloudParquetReportSummaryUpdater:
"""Class to update OCP report summary data."""
def update_aws_summary_tables(self, openshift_provider_uuid, aws_provider_uuid, start_date, end_date):
"""Update operations specifically for OpenShift on AWS."""
<|body_0|>
def update_azu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OCPCloudParquetReportSummaryUpdater:
"""Class to update OCP report summary data."""
def update_aws_summary_tables(self, openshift_provider_uuid, aws_provider_uuid, start_date, end_date):
"""Update operations specifically for OpenShift on AWS."""
if isinstance(start_date, str):
... | the_stack_v2_python_sparse | koku/masu/processor/ocp/ocp_cloud_parquet_summary_updater.py | pavanyadavalli/koku | train | 2 |
62f05792f20bf5cff9761ca23035483296156426 | [
"for image_url in item['image_urls']:\n image_url = 'http:' + image_url\n yield scrapy.Request(image_url)",
"image_paths = [x['path'] for ok, x in results if ok]\nif not image_paths:\n raise DropItem('Item contains no images')\nreturn item"
] | <|body_start_0|>
for image_url in item['image_urls']:
image_url = 'http:' + image_url
yield scrapy.Request(image_url)
<|end_body_0|>
<|body_start_1|>
image_paths = [x['path'] for ok, x in results if ok]
if not image_paths:
raise DropItem('Item contains no ima... | JiandanPipeline | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JiandanPipeline:
def get_media_requests(self, item, info):
""":param item: :param info: :return: 在工作流程中可以看到， 管道会得到文件的URL并从项目中下载。 为了这么做，你需要重写 get_media_requests() 方法， 并对各个图片URL返回一个Request:"""
<|body_0|>
def item_completed(self, results, item, info):
""":param results:... | stack_v2_sparse_classes_75kplus_train_001339 | 2,344 | permissive | [
{
"docstring": ":param item: :param info: :return: 在工作流程中可以看到， 管道会得到文件的URL并从项目中下载。 为了这么做，你需要重写 get_media_requests() 方法， 并对各个图片URL返回一个Request:",
"name": "get_media_requests",
"signature": "def get_media_requests(self, item, info)"
},
{
"docstring": ":param results: :param item: :param info: :retu... | 2 | stack_v2_sparse_classes_30k_train_053640 | Implement the Python class `JiandanPipeline` described below.
Class description:
Implement the JiandanPipeline class.
Method signatures and docstrings:
- def get_media_requests(self, item, info): :param item: :param info: :return: 在工作流程中可以看到， 管道会得到文件的URL并从项目中下载。 为了这么做，你需要重写 get_media_requests() 方法， 并对各个图片URL返回一个Reque... | Implement the Python class `JiandanPipeline` described below.
Class description:
Implement the JiandanPipeline class.
Method signatures and docstrings:
- def get_media_requests(self, item, info): :param item: :param info: :return: 在工作流程中可以看到， 管道会得到文件的URL并从项目中下载。 为了这么做，你需要重写 get_media_requests() 方法， 并对各个图片URL返回一个Reque... | 8933c7a6d444d3d86a173984e6cf4c08dbf84039 | <|skeleton|>
class JiandanPipeline:
def get_media_requests(self, item, info):
""":param item: :param info: :return: 在工作流程中可以看到， 管道会得到文件的URL并从项目中下载。 为了这么做，你需要重写 get_media_requests() 方法， 并对各个图片URL返回一个Request:"""
<|body_0|>
def item_completed(self, results, item, info):
""":param results:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JiandanPipeline:
def get_media_requests(self, item, info):
""":param item: :param info: :return: 在工作流程中可以看到， 管道会得到文件的URL并从项目中下载。 为了这么做，你需要重写 get_media_requests() 方法， 并对各个图片URL返回一个Request:"""
for image_url in item['image_urls']:
image_url = 'http:' + image_url
yield scra... | the_stack_v2_python_sparse | jiandan/jiandan/pipelines.py | MisterZhouZhou/pythonLearn | train | 1 | |
e527c2db8b182bbe208f446d07b5c47c1dd77d08 | [
"self.__screen = screen\nself.__msg = INSTALLATION_COMPLETED.localize() + REBOOT_MSG.localize()\nself.__buttonsBar = ButtonBar(self.__screen, [(REBOOT.localize(), 'reboot')])\nself.__grid = GridForm(self.__screen, IBM_ZKVM.localize() % STR_VERSION, 1, 2)\nself.__grid.add(self.__buttonsBar, 0, 1, (0, 1, 0, 0))",
"... | <|body_start_0|>
self.__screen = screen
self.__msg = INSTALLATION_COMPLETED.localize() + REBOOT_MSG.localize()
self.__buttonsBar = ButtonBar(self.__screen, [(REBOOT.localize(), 'reboot')])
self.__grid = GridForm(self.__screen, IBM_ZKVM.localize() % STR_VERSION, 1, 2)
self.__grid.... | Last screen for the installer application | RebootSystem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RebootSystem:
"""Last screen for the installer application"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def run(self, error=False):
"""Draws the screen @type error: boolean @param error:... | stack_v2_sparse_classes_75kplus_train_001340 | 1,427 | no_license | [
{
"docstring": "Constructor @type screen: SnackScreen @param screen: SnackScreen instance",
"name": "__init__",
"signature": "def __init__(self, screen)"
},
{
"docstring": "Draws the screen @type error: boolean @param error: reboot due to error @rtype: integer @returns: sucess status",
"name... | 2 | stack_v2_sparse_classes_30k_train_015200 | Implement the Python class `RebootSystem` described below.
Class description:
Last screen for the installer application
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def run(self, error=False): Draws the screen @type error: ... | Implement the Python class `RebootSystem` described below.
Class description:
Last screen for the installer application
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def run(self, error=False): Draws the screen @type error: ... | 1c738fd5e6ee3f8fd4f47acf2207038f20868212 | <|skeleton|>
class RebootSystem:
"""Last screen for the installer application"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def run(self, error=False):
"""Draws the screen @type error: boolean @param error:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RebootSystem:
"""Last screen for the installer application"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
self.__screen = screen
self.__msg = INSTALLATION_COMPLETED.localize() + REBOOT_MSG.localize()
self.__bu... | the_stack_v2_python_sparse | zfrobisher-installer/src/viewer/newt/rebootsystem.py | fedosu85nce/work | train | 2 |
b5df2e2be24605efcb6fb9e694f233e50889e34b | [
"while len(lists) > 1:\n temp = []\n for i in xrange(0, len(lists), 2):\n if i + 1 < len(lists):\n merged = self.merge2Lists(lists[i], lists[i + 1])\n temp.append(merged)\n if len(lists) % 2 == 1:\n temp.append(lists[-1])\n lists = temp\nreturn lists[0] if len(lists) ... | <|body_start_0|>
while len(lists) > 1:
temp = []
for i in xrange(0, len(lists), 2):
if i + 1 < len(lists):
merged = self.merge2Lists(lists[i], lists[i + 1])
temp.append(merged)
if len(lists) % 2 == 1:
tem... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_0|>
def merge2Lists(self, list1, list2):
""":type list1: ListNode :type list2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_001341 | 1,575 | no_license | [
{
"docstring": ":type lists: List[ListNode] :rtype: ListNode",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists)"
},
{
"docstring": ":type list1: ListNode :type list2: ListNode :rtype: ListNode",
"name": "merge2Lists",
"signature": "def merge2Lists(self, list1, list2)"
... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
- def merge2Lists(self, list1, list2): :type list1: ListNode :type list2: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
- def merge2Lists(self, list1, list2): :type list1: ListNode :type list2: ListNode :rtype: ListNode
<|... | 5c74114577dbc69c4501d025861e0e5a8f5d2ac6 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_0|>
def merge2Lists(self, list1, list2):
""":type list1: ListNode :type list2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
while len(lists) > 1:
temp = []
for i in xrange(0, len(lists), 2):
if i + 1 < len(lists):
merged = self.merge2Lists(lists[i], lists[i + 1])
... | the_stack_v2_python_sparse | leetcode/p23.py | linyue2000/review | train | 0 | |
79de1495d3e8e3f61410e0289695912e3215c685 | [
"self.tree = tree\nself.alignment = alignment\nself.pamlpath = pamlpath\nmodel = 'M1'\nself.defaultmodel = model\nwd = workdir\nself.workdir = wd",
"print('Running model %s paml on input.' % str(self.defaultmodel))\ntree = EvolTree(self.tree)\ntree.link_to_alignment(self.alignment)\ntree.workdir = self.workdir\nt... | <|body_start_0|>
self.tree = tree
self.alignment = alignment
self.pamlpath = pamlpath
model = 'M1'
self.defaultmodel = model
wd = workdir
self.workdir = wd
<|end_body_0|>
<|body_start_1|>
print('Running model %s paml on input.' % str(self.defaultmodel))
... | Test codeml with a default tree and newick file. | PamlTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PamlTest:
"""Test codeml with a default tree and newick file."""
def __init__(self, tree='ECP_EDN_15.nw', alignment='ECP_EDN_15.fasta', workdir='', pamlpath=''):
"""Test that paml is in your path and working properly. :param tree: (Default value = "ECP_EDN_15.nw") :param alignment: (... | stack_v2_sparse_classes_75kplus_train_001342 | 1,351 | no_license | [
{
"docstring": "Test that paml is in your path and working properly. :param tree: (Default value = \"ECP_EDN_15.nw\") :param alignment: (Default value = \"ECP_EDN_15.fasta\") :param workdir: (Default value = \"\") :param pamlpath: (Default value = \"\")",
"name": "__init__",
"signature": "def __init__(s... | 2 | stack_v2_sparse_classes_30k_train_036223 | Implement the Python class `PamlTest` described below.
Class description:
Test codeml with a default tree and newick file.
Method signatures and docstrings:
- def __init__(self, tree='ECP_EDN_15.nw', alignment='ECP_EDN_15.fasta', workdir='', pamlpath=''): Test that paml is in your path and working properly. :param tr... | Implement the Python class `PamlTest` described below.
Class description:
Test codeml with a default tree and newick file.
Method signatures and docstrings:
- def __init__(self, tree='ECP_EDN_15.nw', alignment='ECP_EDN_15.fasta', workdir='', pamlpath=''): Test that paml is in your path and working properly. :param tr... | e207046ec36387751fe2bba8b6782fdc2a580107 | <|skeleton|>
class PamlTest:
"""Test codeml with a default tree and newick file."""
def __init__(self, tree='ECP_EDN_15.nw', alignment='ECP_EDN_15.fasta', workdir='', pamlpath=''):
"""Test that paml is in your path and working properly. :param tree: (Default value = "ECP_EDN_15.nw") :param alignment: (... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PamlTest:
"""Test codeml with a default tree and newick file."""
def __init__(self, tree='ECP_EDN_15.nw', alignment='ECP_EDN_15.fasta', workdir='', pamlpath=''):
"""Test that paml is in your path and working properly. :param tree: (Default value = "ECP_EDN_15.nw") :param alignment: (Default value... | the_stack_v2_python_sparse | OrthoEvol/Orthologs/Phylogenetics/PAML/ete3paml_test/ete3paml_test.py | datasnakes/OrthoEvolution | train | 19 |
17b375be02c4b176d4265f5dde24ef8ff55cf4ea | [
"parametros_faltantes = ''\nif disquera.nombre is None:\n parametros_faltantes += '<nombre>'\nif disquera.direccion is None:\n parametros_faltantes += '<direccion> '\nif disquera.email is None:\n parametros_faltantes += '<email>'\nif len(parametros_faltantes) > 0:\n mensaje = 'Los siguientes parametros ... | <|body_start_0|>
parametros_faltantes = ''
if disquera.nombre is None:
parametros_faltantes += '<nombre>'
if disquera.direccion is None:
parametros_faltantes += '<direccion> '
if disquera.email is None:
parametros_faltantes += '<email>'
if len(... | ValidacionDisquera | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValidacionDisquera:
def _validar_campos_requeridos(disquera):
"""Valida que los atributos requeridos se encuentren en el objeto disquera :param disquera: La disquera validar que tenga todos los atributos requeridos :return: Un diccionario con el error y su mensaje si faltan campos requer... | stack_v2_sparse_classes_75kplus_train_001343 | 4,617 | no_license | [
{
"docstring": "Valida que los atributos requeridos se encuentren en el objeto disquera :param disquera: La disquera validar que tenga todos los atributos requeridos :return: Un diccionario con el error y su mensaje si faltan campos requeridos o None si no faltan",
"name": "_validar_campos_requeridos",
... | 4 | stack_v2_sparse_classes_30k_train_044940 | Implement the Python class `ValidacionDisquera` described below.
Class description:
Implement the ValidacionDisquera class.
Method signatures and docstrings:
- def _validar_campos_requeridos(disquera): Valida que los atributos requeridos se encuentren en el objeto disquera :param disquera: La disquera validar que ten... | Implement the Python class `ValidacionDisquera` described below.
Class description:
Implement the ValidacionDisquera class.
Method signatures and docstrings:
- def _validar_campos_requeridos(disquera): Valida que los atributos requeridos se encuentren en el objeto disquera :param disquera: La disquera validar que ten... | 49bbaaf0bd4d1bec2d81eb35882e5f073b1c149f | <|skeleton|>
class ValidacionDisquera:
def _validar_campos_requeridos(disquera):
"""Valida que los atributos requeridos se encuentren en el objeto disquera :param disquera: La disquera validar que tenga todos los atributos requeridos :return: Un diccionario con el error y su mensaje si faltan campos requer... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ValidacionDisquera:
def _validar_campos_requeridos(disquera):
"""Valida que los atributos requeridos se encuentren en el objeto disquera :param disquera: La disquera validar que tenga todos los atributos requeridos :return: Un diccionario con el error y su mensaje si faltan campos requeridos o None si... | the_stack_v2_python_sparse | app/util/validaciones/modelos/ValidacionDisquera.py | codeChinoUV/EspotifeiAPI | train | 0 | |
440fa2c0cfcf6e5b4875dc700c31c61af8210bf7 | [
"context = super(SignUpFormView, self).get_context_data(**kwargs)\ncontext['title'] = 'Sign Up'\nreturn context",
"user_name = form.cleaned_data['username']\nemail = form.cleaned_data['email']\npassword = form.cleaned_data['password']\nconfirm_password = form.cleaned_data['confirm_password']\ncontext = self.get_c... | <|body_start_0|>
context = super(SignUpFormView, self).get_context_data(**kwargs)
context['title'] = 'Sign Up'
return context
<|end_body_0|>
<|body_start_1|>
user_name = form.cleaned_data['username']
email = form.cleaned_data['email']
password = form.cleaned_data['passwo... | A class of FormView to register a new user ... Attributes ---------- template_name : str the name of the template form_class : SignUpForm Form of the view success_url : str url of the success page Methods ------- get_context_data(**kwargs): Get the context of the view form_valid(form): Register the new user | SignUpFormView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignUpFormView:
"""A class of FormView to register a new user ... Attributes ---------- template_name : str the name of the template form_class : SignUpForm Form of the view success_url : str url of the success page Methods ------- get_context_data(**kwargs): Get the context of the view form_vali... | stack_v2_sparse_classes_75kplus_train_001344 | 9,386 | no_license | [
{
"docstring": "Call the original method of the view and add the title on the context Parameters ---------- kwargs : str Some argument that Django are passing, need when call the original method of the view Returns ------- dict a dict of the context of the page",
"name": "get_context_data",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_037564 | Implement the Python class `SignUpFormView` described below.
Class description:
A class of FormView to register a new user ... Attributes ---------- template_name : str the name of the template form_class : SignUpForm Form of the view success_url : str url of the success page Methods ------- get_context_data(**kwargs)... | Implement the Python class `SignUpFormView` described below.
Class description:
A class of FormView to register a new user ... Attributes ---------- template_name : str the name of the template form_class : SignUpForm Form of the view success_url : str url of the success page Methods ------- get_context_data(**kwargs)... | 939245d046974fabf33fa540b4c3b6d077100ff5 | <|skeleton|>
class SignUpFormView:
"""A class of FormView to register a new user ... Attributes ---------- template_name : str the name of the template form_class : SignUpForm Form of the view success_url : str url of the success page Methods ------- get_context_data(**kwargs): Get the context of the view form_vali... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SignUpFormView:
"""A class of FormView to register a new user ... Attributes ---------- template_name : str the name of the template form_class : SignUpForm Form of the view success_url : str url of the success page Methods ------- get_context_data(**kwargs): Get the context of the view form_valid(form): Regi... | the_stack_v2_python_sparse | purebeurre/views/user.py | M0l42/P08_PureBeurre | train | 1 |
61ecd17fe5604c61951a55f0df50bff8e4731745 | [
"self.gps_data = gps_data\nself.names = []\nself.longitudes = []\nself.latitudes = []",
"for gps in self.gps_data:\n if 'GPSLongitude' not in gps or 'GPSLatitude' not in gps:\n continue\n self.names.append(gps.get('SourceFile'))\n self.longitudes.append(gps.get('GPSLongitude'))\n self.latitudes... | <|body_start_0|>
self.gps_data = gps_data
self.names = []
self.longitudes = []
self.latitudes = []
<|end_body_0|>
<|body_start_1|>
for gps in self.gps_data:
if 'GPSLongitude' not in gps or 'GPSLatitude' not in gps:
continue
self.names.appe... | Class KML | KML | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KML:
"""Class KML"""
def __init__(self, gps_data):
"""Constructor"""
<|body_0|>
def prepare_kml_data(self):
"""Prepare the date for writing"""
<|body_1|>
def write(self, filename='data/exif_data.kml'):
"""Write kml file"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus_train_001345 | 3,240 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, gps_data)"
},
{
"docstring": "Prepare the date for writing",
"name": "prepare_kml_data",
"signature": "def prepare_kml_data(self)"
},
{
"docstring": "Write kml file",
"name": "write",
"sign... | 3 | null | Implement the Python class `KML` described below.
Class description:
Class KML
Method signatures and docstrings:
- def __init__(self, gps_data): Constructor
- def prepare_kml_data(self): Prepare the date for writing
- def write(self, filename='data/exif_data.kml'): Write kml file | Implement the Python class `KML` described below.
Class description:
Class KML
Method signatures and docstrings:
- def __init__(self, gps_data): Constructor
- def prepare_kml_data(self): Prepare the date for writing
- def write(self, filename='data/exif_data.kml'): Write kml file
<|skeleton|>
class KML:
"""Class... | 4b11ef5fa3b3278ded084a9486740d76747caa30 | <|skeleton|>
class KML:
"""Class KML"""
def __init__(self, gps_data):
"""Constructor"""
<|body_0|>
def prepare_kml_data(self):
"""Prepare the date for writing"""
<|body_1|>
def write(self, filename='data/exif_data.kml'):
"""Write kml file"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KML:
"""Class KML"""
def __init__(self, gps_data):
"""Constructor"""
self.gps_data = gps_data
self.names = []
self.longitudes = []
self.latitudes = []
def prepare_kml_data(self):
"""Prepare the date for writing"""
for gps in self.gps_data:
... | the_stack_v2_python_sparse | lib/exif_tool.py | franklehner/cryptology | train | 0 |
0c2788a81165d030a39546552cf8de0b63dd7ed8 | [
"self.index = index\nself.refresh_rate = refresh_rate\nself.datadir = datadir\nself.viewport_width = viewport_width\nself.viewport_height = viewport_height\nself.viewport_max_height = viewport_max_height",
"try:\n timer = time.time()\n url = self._checkout_url()\n console.dp(f'taking photo of {url.to_str... | <|body_start_0|>
self.index = index
self.refresh_rate = refresh_rate
self.datadir = datadir
self.viewport_width = viewport_width
self.viewport_height = viewport_height
self.viewport_max_height = viewport_max_height
<|end_body_0|>
<|body_start_1|>
try:
... | Photographer class. | Photographer | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Photographer:
"""Photographer class."""
def __init__(self, index: Index, refresh_rate: Type[refresh.RefreshRate], datadir: DataDirectory, viewport_width: int=1920, viewport_height: int=0, viewport_max_height: Optional[int]=None):
"""Create new photographer. Args: index: Index where c... | stack_v2_sparse_classes_75kplus_train_001346 | 3,860 | permissive | [
{
"docstring": "Create new photographer. Args: index: Index where crawled urls are stored and photos should be indexed. refresh_rate: How often photographs should be refreshed, more exactly defines which lock should be placed on crawled urls datadir: Data directory to store pictures in viewport_width: width of ... | 3 | stack_v2_sparse_classes_30k_train_028911 | Implement the Python class `Photographer` described below.
Class description:
Photographer class.
Method signatures and docstrings:
- def __init__(self, index: Index, refresh_rate: Type[refresh.RefreshRate], datadir: DataDirectory, viewport_width: int=1920, viewport_height: int=0, viewport_max_height: Optional[int]=N... | Implement the Python class `Photographer` described below.
Class description:
Photographer class.
Method signatures and docstrings:
- def __init__(self, index: Index, refresh_rate: Type[refresh.RefreshRate], datadir: DataDirectory, viewport_width: int=1920, viewport_height: int=0, viewport_max_height: Optional[int]=N... | 766b538ac90daa8f8eadce8a1fd43f83413610de | <|skeleton|>
class Photographer:
"""Photographer class."""
def __init__(self, index: Index, refresh_rate: Type[refresh.RefreshRate], datadir: DataDirectory, viewport_width: int=1920, viewport_height: int=0, viewport_max_height: Optional[int]=None):
"""Create new photographer. Args: index: Index where c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Photographer:
"""Photographer class."""
def __init__(self, index: Index, refresh_rate: Type[refresh.RefreshRate], datadir: DataDirectory, viewport_width: int=1920, viewport_height: int=0, viewport_max_height: Optional[int]=None):
"""Create new photographer. Args: index: Index where crawled urls a... | the_stack_v2_python_sparse | saas/photographer/photographer.py | nattvara/saas | train | 2 |
a98c901ab776273d9592e319c5825b465b714825 | [
"self.to_email = to_email\nself.from_email = from_email\nself._email_send_threshold = email_send_threshold\nself._email_last_sent_time = datetime(1970, 1, 1)",
"if datetime.now() - self._email_last_sent_time < self._email_send_threshold:\n if logger:\n logger.info('did not send email: %s' % message)\n ... | <|body_start_0|>
self.to_email = to_email
self.from_email = from_email
self._email_send_threshold = email_send_threshold
self._email_last_sent_time = datetime(1970, 1, 1)
<|end_body_0|>
<|body_start_1|>
if datetime.now() - self._email_last_sent_time < self._email_send_threshold:... | Send alert emails. Throttle the sending to allow at most one message every self._email_send_threshold | ThrottledMailer | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThrottledMailer:
"""Send alert emails. Throttle the sending to allow at most one message every self._email_send_threshold"""
def __init__(self, to_email, from_email, email_send_threshold):
"""Args: email_send_threshold: timedelta"""
<|body_0|>
def send_email(self, messag... | stack_v2_sparse_classes_75kplus_train_001347 | 1,374 | permissive | [
{
"docstring": "Args: email_send_threshold: timedelta",
"name": "__init__",
"signature": "def __init__(self, to_email, from_email, email_send_threshold)"
},
{
"docstring": "send an alert email if one hasn't been sent recently Args: message (string): the email body logger [optional] (logger objec... | 2 | stack_v2_sparse_classes_30k_train_028077 | Implement the Python class `ThrottledMailer` described below.
Class description:
Send alert emails. Throttle the sending to allow at most one message every self._email_send_threshold
Method signatures and docstrings:
- def __init__(self, to_email, from_email, email_send_threshold): Args: email_send_threshold: timedel... | Implement the Python class `ThrottledMailer` described below.
Class description:
Send alert emails. Throttle the sending to allow at most one message every self._email_send_threshold
Method signatures and docstrings:
- def __init__(self, to_email, from_email, email_send_threshold): Args: email_send_threshold: timedel... | 70280110ec342a6f6db1c102e96756fcc3c3c01b | <|skeleton|>
class ThrottledMailer:
"""Send alert emails. Throttle the sending to allow at most one message every self._email_send_threshold"""
def __init__(self, to_email, from_email, email_send_threshold):
"""Args: email_send_threshold: timedelta"""
<|body_0|>
def send_email(self, messag... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThrottledMailer:
"""Send alert emails. Throttle the sending to allow at most one message every self._email_send_threshold"""
def __init__(self, to_email, from_email, email_send_threshold):
"""Args: email_send_threshold: timedelta"""
self.to_email = to_email
self.from_email = from_... | the_stack_v2_python_sparse | pylib/net/mailer.py | room77/py77 | train | 0 |
b95da1d90ea2e1f57aecf7e28c7c28ea49f71d9c | [
"satSolverName = satSolverName.lower()\nif satSolverName == 'lingeling' or satSolverName == '':\n return SatSolver.LINGELING\nelif satSolverName == 'minisat':\n return SatSolver.MINISAT\nelif satSolverName == 'picosat':\n return SatSolver.PICOSAT\nelse:\n errMsg = 'Unknown backend SAT solver for Boolect... | <|body_start_0|>
satSolverName = satSolverName.lower()
if satSolverName == 'lingeling' or satSolverName == '':
return SatSolver.LINGELING
elif satSolverName == 'minisat':
return SatSolver.MINISAT
elif satSolverName == 'picosat':
return SatSolver.PICOSA... | This class represents the SAT solver used by Boolector. | SatSolver | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SatSolver:
"""This class represents the SAT solver used by Boolector."""
def getSatSolver(satSolverName):
"""Returns the SatSolver representation of the SAT solver whose name is provided. @param satSolverName Name of a SAT solver. @retval SatSolver representation of the SAT solver wh... | stack_v2_sparse_classes_75kplus_train_001348 | 5,145 | no_license | [
{
"docstring": "Returns the SatSolver representation of the SAT solver whose name is provided. @param satSolverName Name of a SAT solver. @retval SatSolver representation of the SAT solver whose name is provided.",
"name": "getSatSolver",
"signature": "def getSatSolver(satSolverName)"
},
{
"docs... | 2 | stack_v2_sparse_classes_30k_train_003613 | Implement the Python class `SatSolver` described below.
Class description:
This class represents the SAT solver used by Boolector.
Method signatures and docstrings:
- def getSatSolver(satSolverName): Returns the SatSolver representation of the SAT solver whose name is provided. @param satSolverName Name of a SAT solv... | Implement the Python class `SatSolver` described below.
Class description:
This class represents the SAT solver used by Boolector.
Method signatures and docstrings:
- def getSatSolver(satSolverName): Returns the SatSolver representation of the SAT solver whose name is provided. @param satSolverName Name of a SAT solv... | 43fbd6ae7f83c9ebf55dbedb4f98ce064c04514c | <|skeleton|>
class SatSolver:
"""This class represents the SAT solver used by Boolector."""
def getSatSolver(satSolverName):
"""Returns the SatSolver representation of the SAT solver whose name is provided. @param satSolverName Name of a SAT solver. @retval SatSolver representation of the SAT solver wh... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SatSolver:
"""This class represents the SAT solver used by Boolector."""
def getSatSolver(satSolverName):
"""Returns the SatSolver representation of the SAT solver whose name is provided. @param satSolverName Name of a SAT solver. @retval SatSolver representation of the SAT solver whose name is p... | the_stack_v2_python_sparse | build/lib.linux-x86_64-2.7/gametime/smt/solvers/boolectorSolver.py | jerryduan07/gametime | train | 0 |
e04f857ccfad76cbf06f8c74727bc55653faa71a | [
"self.cardinality = cardinality\nif norm_factory is None:\n norm_factory = nn.BatchNorm2d\nself.norm_factory = norm_factory\nself.resnext_class = copy(models.resnet.Bottleneck)\nself.resnext_class.expansion = 2",
"stride = 1\nprojection = None\nif downsample > 1:\n stride = downsample\nif downsample > 1 or ... | <|body_start_0|>
self.cardinality = cardinality
if norm_factory is None:
norm_factory = nn.BatchNorm2d
self.norm_factory = norm_factory
self.resnext_class = copy(models.resnet.Bottleneck)
self.resnext_class.expansion = 2
<|end_body_0|>
<|body_start_1|>
stride... | Factory wrapper for ``torchvision`` ResNeXt blocks. | ResNeXtBlockFactory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResNeXtBlockFactory:
"""Factory wrapper for ``torchvision`` ResNeXt blocks."""
def __init__(self, cardinality=32, norm_factory: Optional[Callable[[int], nn.Module]]=None):
"""Args: cardinality: The cardinality of the block as defined in the ResNeXt paper. norm_factory: A factory obje... | stack_v2_sparse_classes_75kplus_train_001349 | 6,999 | permissive | [
{
"docstring": "Args: cardinality: The cardinality of the block as defined in the ResNeXt paper. norm_factory: A factory object to produce the normalization layers used in the ResNet blocks. Defaults to batch norm.",
"name": "__init__",
"signature": "def __init__(self, cardinality=32, norm_factory: Opti... | 2 | stack_v2_sparse_classes_30k_train_034747 | Implement the Python class `ResNeXtBlockFactory` described below.
Class description:
Factory wrapper for ``torchvision`` ResNeXt blocks.
Method signatures and docstrings:
- def __init__(self, cardinality=32, norm_factory: Optional[Callable[[int], nn.Module]]=None): Args: cardinality: The cardinality of the block as d... | Implement the Python class `ResNeXtBlockFactory` described below.
Class description:
Factory wrapper for ``torchvision`` ResNeXt blocks.
Method signatures and docstrings:
- def __init__(self, cardinality=32, norm_factory: Optional[Callable[[int], nn.Module]]=None): Args: cardinality: The cardinality of the block as d... | a27e329cd30337995c359160a0d878bf331c13fb | <|skeleton|>
class ResNeXtBlockFactory:
"""Factory wrapper for ``torchvision`` ResNeXt blocks."""
def __init__(self, cardinality=32, norm_factory: Optional[Callable[[int], nn.Module]]=None):
"""Args: cardinality: The cardinality of the block as defined in the ResNeXt paper. norm_factory: A factory obje... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResNeXtBlockFactory:
"""Factory wrapper for ``torchvision`` ResNeXt blocks."""
def __init__(self, cardinality=32, norm_factory: Optional[Callable[[int], nn.Module]]=None):
"""Args: cardinality: The cardinality of the block as defined in the ResNeXt paper. norm_factory: A factory object to produce... | the_stack_v2_python_sparse | quantnn/models/pytorch/torchvision.py | simonpf/quantnn | train | 7 |
962b2476b73530dac7b44dad1d2e5214fcddec46 | [
"raise_error = kwargs.get(RAISE_ERROR, True)\ntry:\n cls.check_valid_status(appointment, cls.status_enum.ON_MODERATION)\nexcept WrongStatusError as err:\n valid_err = cls.reject_error(title=err.title)\n if raise_error:\n raise valid_err\n else:\n logging.warning(valid_err, extra={APPOINTME... | <|body_start_0|>
raise_error = kwargs.get(RAISE_ERROR, True)
try:
cls.check_valid_status(appointment, cls.status_enum.ON_MODERATION)
except WrongStatusError as err:
valid_err = cls.reject_error(title=err.title)
if raise_error:
raise valid_err
... | AppointmentModerationValidator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AppointmentModerationValidator:
def validate_before_reject(cls, appointment: Appointment, **kwargs) -> None:
""":raises: apps.appointments.exceptions.AppointmentRejectError"""
<|body_0|>
def validate_before_approve(cls, appointment: Appointment) -> None:
""":raises: ... | stack_v2_sparse_classes_75kplus_train_001350 | 12,944 | no_license | [
{
"docstring": ":raises: apps.appointments.exceptions.AppointmentRejectError",
"name": "validate_before_reject",
"signature": "def validate_before_reject(cls, appointment: Appointment, **kwargs) -> None"
},
{
"docstring": ":raises: apps.appointments.exceptions.AppointmentApproveError",
"name... | 3 | stack_v2_sparse_classes_30k_val_001220 | Implement the Python class `AppointmentModerationValidator` described below.
Class description:
Implement the AppointmentModerationValidator class.
Method signatures and docstrings:
- def validate_before_reject(cls, appointment: Appointment, **kwargs) -> None: :raises: apps.appointments.exceptions.AppointmentRejectEr... | Implement the Python class `AppointmentModerationValidator` described below.
Class description:
Implement the AppointmentModerationValidator class.
Method signatures and docstrings:
- def validate_before_reject(cls, appointment: Appointment, **kwargs) -> None: :raises: apps.appointments.exceptions.AppointmentRejectEr... | 447a4c46e578f9aa1ae015edd39752d3b9b5cb28 | <|skeleton|>
class AppointmentModerationValidator:
def validate_before_reject(cls, appointment: Appointment, **kwargs) -> None:
""":raises: apps.appointments.exceptions.AppointmentRejectError"""
<|body_0|>
def validate_before_approve(cls, appointment: Appointment) -> None:
""":raises: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AppointmentModerationValidator:
def validate_before_reject(cls, appointment: Appointment, **kwargs) -> None:
""":raises: apps.appointments.exceptions.AppointmentRejectError"""
raise_error = kwargs.get(RAISE_ERROR, True)
try:
cls.check_valid_status(appointment, cls.status_en... | the_stack_v2_python_sparse | apps/appointments/validators.py | kirmalyshev/django_example | train | 0 | |
cd3573f0dfa867d336d395af0fa81e99a4782534 | [
"res = []\nif root:\n queue = deque([root])\n while queue:\n tmp = queue.pop()\n res.append(str(tmp.val))\n res.append(str(len(tmp.children)))\n for ch in tmp.children:\n queue.appendleft(ch)\nreturn ','.join(res)",
"if not data:\n return\ndata = map(int, data.split... | <|body_start_0|>
res = []
if root:
queue = deque([root])
while queue:
tmp = queue.pop()
res.append(str(tmp.val))
res.append(str(len(tmp.children)))
for ch in tmp.children:
queue.appendleft(ch)
... | Codec1 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec1:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data: str) -> 'Node':
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus_train_001351 | 2,421 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: Node :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root: 'Node') -> str"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: Node",
"name": "deserialize",
"signature": "def des... | 2 | stack_v2_sparse_classes_30k_train_039075 | Implement the Python class `Codec1` described below.
Class description:
Implement the Codec1 class.
Method signatures and docstrings:
- def serialize(self, root: 'Node') -> str: Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data: str) -> 'Node': Decodes your encoded data to t... | Implement the Python class `Codec1` described below.
Class description:
Implement the Codec1 class.
Method signatures and docstrings:
- def serialize(self, root: 'Node') -> str: Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data: str) -> 'Node': Decodes your encoded data to t... | 631df2ce6892a6fbb3e435f57e90d85f8200d125 | <|skeleton|>
class Codec1:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data: str) -> 'Node':
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec1:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
res = []
if root:
queue = deque([root])
while queue:
tmp = queue.pop()
res.append(str(tmp.val))
... | the_stack_v2_python_sparse | 428. Serialize and Deserialize N-ary Tree.py | c940606/leetcode | train | 3 | |
af15dc2333d6fb9f33f8f7b9703e55149d65f034 | [
"mocker.patch.object(Microsoft365DefenderEventCollector.dateparser, 'parse', return_value=datetime.datetime.now())\nmocker.patch.object(demisto, 'setLastRun')\nmocker.patch.object(demisto, 'getLastRun', return_value=None)\nmain(command='fetch-events', params=PARAMS)\nMicrosoft365DefenderEventCollector.dateparser.pa... | <|body_start_0|>
mocker.patch.object(Microsoft365DefenderEventCollector.dateparser, 'parse', return_value=datetime.datetime.now())
mocker.patch.object(demisto, 'setLastRun')
mocker.patch.object(demisto, 'getLastRun', return_value=None)
main(command='fetch-events', params=PARAMS)
... | TestFetchEventsHappyPath | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFetchEventsHappyPath:
def test_fetch_events_first_time(self, mocker):
"""Given - there is no object returned by demist.getLastRun. When - fetch_events called for the first time. Then - ensure the dateparser was called."""
<|body_0|>
def test_fetch_events_second_time(self... | stack_v2_sparse_classes_75kplus_train_001352 | 8,420 | permissive | [
{
"docstring": "Given - there is no object returned by demist.getLastRun. When - fetch_events called for the first time. Then - ensure the dateparser was called.",
"name": "test_fetch_events_first_time",
"signature": "def test_fetch_events_first_time(self, mocker)"
},
{
"docstring": "Given - dem... | 3 | stack_v2_sparse_classes_30k_train_047171 | Implement the Python class `TestFetchEventsHappyPath` described below.
Class description:
Implement the TestFetchEventsHappyPath class.
Method signatures and docstrings:
- def test_fetch_events_first_time(self, mocker): Given - there is no object returned by demist.getLastRun. When - fetch_events called for the first... | Implement the Python class `TestFetchEventsHappyPath` described below.
Class description:
Implement the TestFetchEventsHappyPath class.
Method signatures and docstrings:
- def test_fetch_events_first_time(self, mocker): Given - there is no object returned by demist.getLastRun. When - fetch_events called for the first... | 890def5a0e0ae8d6eaa538148249ddbc851dbb6b | <|skeleton|>
class TestFetchEventsHappyPath:
def test_fetch_events_first_time(self, mocker):
"""Given - there is no object returned by demist.getLastRun. When - fetch_events called for the first time. Then - ensure the dateparser was called."""
<|body_0|>
def test_fetch_events_second_time(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestFetchEventsHappyPath:
def test_fetch_events_first_time(self, mocker):
"""Given - there is no object returned by demist.getLastRun. When - fetch_events called for the first time. Then - ensure the dateparser was called."""
mocker.patch.object(Microsoft365DefenderEventCollector.dateparser, '... | the_stack_v2_python_sparse | Packs/MicrosoftDefenderAdvancedThreatProtection/Integrations/Microsoft365DefenderEventCollector/Microsoft365DefenderEventCollector_test.py | demisto/content | train | 1,023 | |
a9fbf03c4343d9e0e251ffc65f234739c143cfda | [
"time_elements_structure = self._GetValueFromStructure(structure, 'date_time')\nlog_line = self._GetValueFromStructure(structure, 'log_line', default_value='')\nlog_line = log_line.lstrip().rstrip()\npids = self._GetValueFromStructure(structure, 'pid', default_value=[])\ntime_zone_string = self._GetValueFromStructu... | <|body_start_0|>
time_elements_structure = self._GetValueFromStructure(structure, 'date_time')
log_line = self._GetValueFromStructure(structure, 'log_line', default_value='')
log_line = log_line.lstrip().rstrip()
pids = self._GetValueFromStructure(structure, 'pid', default_value=[])
... | Text parser plugin for PostgreSQL application log files. | PostgreSQLTextPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostgreSQLTextPlugin:
"""Text parser plugin for PostgreSQL application log files."""
def _ParseRecord(self, parser_mediator, key, structure):
"""Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as s... | stack_v2_sparse_classes_75kplus_train_001353 | 9,463 | permissive | [
{
"docstring": "Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and dfVFS. key (str): name of the parsed structure. structure (pyparsing.ParseResults): tokens from a parsed log line. Raises: ParseError: if the stru... | 3 | stack_v2_sparse_classes_30k_train_014753 | Implement the Python class `PostgreSQLTextPlugin` described below.
Class description:
Text parser plugin for PostgreSQL application log files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, key, structure): Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates int... | Implement the Python class `PostgreSQLTextPlugin` described below.
Class description:
Text parser plugin for PostgreSQL application log files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, key, structure): Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates int... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class PostgreSQLTextPlugin:
"""Text parser plugin for PostgreSQL application log files."""
def _ParseRecord(self, parser_mediator, key, structure):
"""Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PostgreSQLTextPlugin:
"""Text parser plugin for PostgreSQL application log files."""
def _ParseRecord(self, parser_mediator, key, structure):
"""Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and df... | the_stack_v2_python_sparse | plaso/parsers/text_plugins/postgresql.py | log2timeline/plaso | train | 1,506 |
240396d6192d944ea6a8f39385c0ecbd62e67128 | [
"super(_HashDropZones, self).__init__(parent)\npen = qt.QPen()\npen.setColor(qt.QColor('#D0D0D0'))\npen.setStyle(qt.Qt.DotLine)\npen.setWidth(2)\nself.__dropPen = pen",
"displayDropZone = False\nif index.isValid():\n model = index.model()\n rowIndex = model.index(index.row(), 0, index.parent())\n rowItem... | <|body_start_0|>
super(_HashDropZones, self).__init__(parent)
pen = qt.QPen()
pen.setColor(qt.QColor('#D0D0D0'))
pen.setStyle(qt.Qt.DotLine)
pen.setWidth(2)
self.__dropPen = pen
<|end_body_0|>
<|body_start_1|>
displayDropZone = False
if index.isValid():
... | Delegate item displaying a drop zone when the item do not contains dataset. | _HashDropZones | [
"MIT",
"LicenseRef-scancode-public-domain-disclaimer",
"CC0-1.0",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause",
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _HashDropZones:
"""Delegate item displaying a drop zone when the item do not contains dataset."""
def __init__(self, parent=None):
"""Constructor"""
<|body_0|>
def paint(self, painter, option, index):
"""Paint the item :param qt.QPainter painter: A painter :param... | stack_v2_sparse_classes_75kplus_train_001354 | 34,928 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, parent=None)"
},
{
"docstring": "Paint the item :param qt.QPainter painter: A painter :param qt.QStyleOptionViewItem option: Options of the item to paint :param qt.QModelIndex index: Index of the item to paint",
... | 2 | stack_v2_sparse_classes_30k_train_043156 | Implement the Python class `_HashDropZones` described below.
Class description:
Delegate item displaying a drop zone when the item do not contains dataset.
Method signatures and docstrings:
- def __init__(self, parent=None): Constructor
- def paint(self, painter, option, index): Paint the item :param qt.QPainter pain... | Implement the Python class `_HashDropZones` described below.
Class description:
Delegate item displaying a drop zone when the item do not contains dataset.
Method signatures and docstrings:
- def __init__(self, parent=None): Constructor
- def paint(self, painter, option, index): Paint the item :param qt.QPainter pain... | 5e33cb69afd2a8b1cfe3183282acdd8b34c1a74f | <|skeleton|>
class _HashDropZones:
"""Delegate item displaying a drop zone when the item do not contains dataset."""
def __init__(self, parent=None):
"""Constructor"""
<|body_0|>
def paint(self, painter, option, index):
"""Paint the item :param qt.QPainter painter: A painter :param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _HashDropZones:
"""Delegate item displaying a drop zone when the item do not contains dataset."""
def __init__(self, parent=None):
"""Constructor"""
super(_HashDropZones, self).__init__(parent)
pen = qt.QPen()
pen.setColor(qt.QColor('#D0D0D0'))
pen.setStyle(qt.Qt.D... | the_stack_v2_python_sparse | src/silx/app/view/CustomNxdataWidget.py | silx-kit/silx | train | 120 |
05720cf49161e4e7ee89a94e5b97bf749bae35e3 | [
"self.scales = scales\nself.img_scale_mode = img_scale_mode\nself.inclPixelStats = inclPixelStats",
"if isinstance(image, torch.Tensor):\n image = image.numpy()\nimage = np.squeeze(image)\nassert image.ndim == 2\na = Analysis(image, nsc=self.scales, scale_mode=self.img_scale_mode)\na.computeFeatures()\njointSt... | <|body_start_0|>
self.scales = scales
self.img_scale_mode = img_scale_mode
self.inclPixelStats = inclPixelStats
<|end_body_0|>
<|body_start_1|>
if isinstance(image, torch.Tensor):
image = image.numpy()
image = np.squeeze(image)
assert image.ndim == 2
... | Extracts Portilla & Simoncelli Texture Model features. [1] Portilla & Simoncelli (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. http://www.cns.nyu.edu/pub/lcv/portilla99-reprint.pdf Usage ====== transform = PSTMfeatures() transform(gsImage) OR psfeatures = PSTMfeatures() m... | PSTMfeatures | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PSTMfeatures:
"""Extracts Portilla & Simoncelli Texture Model features. [1] Portilla & Simoncelli (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. http://www.cns.nyu.edu/pub/lcv/portilla99-reprint.pdf Usage ====== transform = PSTMfeatures() transform(g... | stack_v2_sparse_classes_75kplus_train_001355 | 2,751 | permissive | [
{
"docstring": "Initialize all parameters needed to analyze a texture image. Args: scales: spatial neighborhood of autocorrelations is Na x Na coefficients (must be odd) img_scale_mode: default None. 'rescale01', 'norm255'",
"name": "__init__",
"signature": "def __init__(self, scales=2, img_scale_mode=N... | 2 | stack_v2_sparse_classes_30k_train_009494 | Implement the Python class `PSTMfeatures` described below.
Class description:
Extracts Portilla & Simoncelli Texture Model features. [1] Portilla & Simoncelli (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. http://www.cns.nyu.edu/pub/lcv/portilla99-reprint.pdf Usage ======... | Implement the Python class `PSTMfeatures` described below.
Class description:
Extracts Portilla & Simoncelli Texture Model features. [1] Portilla & Simoncelli (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. http://www.cns.nyu.edu/pub/lcv/portilla99-reprint.pdf Usage ======... | 08476d21ce17cc95180525d48202a1690dfc8a08 | <|skeleton|>
class PSTMfeatures:
"""Extracts Portilla & Simoncelli Texture Model features. [1] Portilla & Simoncelli (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. http://www.cns.nyu.edu/pub/lcv/portilla99-reprint.pdf Usage ====== transform = PSTMfeatures() transform(g... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PSTMfeatures:
"""Extracts Portilla & Simoncelli Texture Model features. [1] Portilla & Simoncelli (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. http://www.cns.nyu.edu/pub/lcv/portilla99-reprint.pdf Usage ====== transform = PSTMfeatures() transform(gsImage) OR ps... | the_stack_v2_python_sparse | ummon/features/psTMfeatures.py | matherm/ummon3 | train | 1 |
d9196278f76499515f3876a8c6e4a81905976057 | [
"serializer_context = {'request': request}\narticle = request.data.get('article', {})\nserializer = self.serializer_class(data=article, context=serializer_context)\nserializer.is_valid(raise_exception=True)\nserializer.save(author=request.user.profile)\nreturn Response(serializer.data, status=status.HTTP_201_CREATE... | <|body_start_0|>
serializer_context = {'request': request}
article = request.data.get('article', {})
serializer = self.serializer_class(data=article, context=serializer_context)
serializer.is_valid(raise_exception=True)
serializer.save(author=request.user.profile)
return ... | This class defines the create behavior of our articles. | ArticleAPIView | [
"MIT",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArticleAPIView:
"""This class defines the create behavior of our articles."""
def create(self, request):
"""Create an article"""
<|body_0|>
def retrieve(self, request, slug):
"""Get one article"""
<|body_1|>
def update(self, request, slug):
"... | stack_v2_sparse_classes_75kplus_train_001356 | 12,608 | permissive | [
{
"docstring": "Create an article",
"name": "create",
"signature": "def create(self, request)"
},
{
"docstring": "Get one article",
"name": "retrieve",
"signature": "def retrieve(self, request, slug)"
},
{
"docstring": "Edit an article",
"name": "update",
"signature": "de... | 4 | null | Implement the Python class `ArticleAPIView` described below.
Class description:
This class defines the create behavior of our articles.
Method signatures and docstrings:
- def create(self, request): Create an article
- def retrieve(self, request, slug): Get one article
- def update(self, request, slug): Edit an artic... | Implement the Python class `ArticleAPIView` described below.
Class description:
This class defines the create behavior of our articles.
Method signatures and docstrings:
- def create(self, request): Create an article
- def retrieve(self, request, slug): Get one article
- def update(self, request, slug): Edit an artic... | 19f5550f97905ee4a97574cab799d42a0471f12b | <|skeleton|>
class ArticleAPIView:
"""This class defines the create behavior of our articles."""
def create(self, request):
"""Create an article"""
<|body_0|>
def retrieve(self, request, slug):
"""Get one article"""
<|body_1|>
def update(self, request, slug):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArticleAPIView:
"""This class defines the create behavior of our articles."""
def create(self, request):
"""Create an article"""
serializer_context = {'request': request}
article = request.data.get('article', {})
serializer = self.serializer_class(data=article, context=ser... | the_stack_v2_python_sparse | authors/apps/articles/views.py | Tittoh/blogAPI | train | 1 |
dbcd35e613d486f17c850f59d71a8420ff8ada9d | [
"flag = []\nfor i in range(n):\n flag.append(False)\ncount = 1\nwhile count <= n:\n idx = count\n while idx <= n:\n flag[idx - 1] = not flag[idx - 1]\n idx += count\n print('{} - {}'.format(count, flag))\n count += 1\npass\nnum = 0\nfor _, ele in enumerate(flag):\n if ele:\n n... | <|body_start_0|>
flag = []
for i in range(n):
flag.append(False)
count = 1
while count <= n:
idx = count
while idx <= n:
flag[idx - 1] = not flag[idx - 1]
idx += count
print('{} - {}'.format(count, flag))
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def bulbSwitch(self, n: int) -> int:
"""思路：首先，这一定是一个不可取的方法！创建个数组，模拟灯泡。然后从头遍历n次，每次步幅为n :param n: :return:"""
<|body_0|>
def func2(self, n):
"""思路：发现灯泡的被操作次数与这个数的因子个数有关。 比如12这个灯泡，当count=1、2、3、4、6、12时都将影响这个灯泡，它的最终结果是关！因为因子个数是偶数 所以一次遍历即可，且不需要额外的存储空间。 很抱歉地通知：时间超... | stack_v2_sparse_classes_75kplus_train_001357 | 3,421 | no_license | [
{
"docstring": "思路：首先，这一定是一个不可取的方法！创建个数组，模拟灯泡。然后从头遍历n次，每次步幅为n :param n: :return:",
"name": "bulbSwitch",
"signature": "def bulbSwitch(self, n: int) -> int"
},
{
"docstring": "思路：发现灯泡的被操作次数与这个数的因子个数有关。 比如12这个灯泡，当count=1、2、3、4、6、12时都将影响这个灯泡，它的最终结果是关！因为因子个数是偶数 所以一次遍历即可，且不需要额外的存储空间。 很抱歉地通知：时间超出限制，在求... | 4 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def bulbSwitch(self, n: int) -> int: 思路：首先，这一定是一个不可取的方法！创建个数组，模拟灯泡。然后从头遍历n次，每次步幅为n :param n: :return:
- def func2(self, n): 思路：发现灯泡的被操作次数与这个数的因子个数有关。 比如12这个灯泡，当count=1、2、3、4、6、12... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def bulbSwitch(self, n: int) -> int: 思路：首先，这一定是一个不可取的方法！创建个数组，模拟灯泡。然后从头遍历n次，每次步幅为n :param n: :return:
- def func2(self, n): 思路：发现灯泡的被操作次数与这个数的因子个数有关。 比如12这个灯泡，当count=1、2、3、4、6、12... | 46cfe84921a9a3e865edd1f94e7807b320b53778 | <|skeleton|>
class Solution:
def bulbSwitch(self, n: int) -> int:
"""思路：首先，这一定是一个不可取的方法！创建个数组，模拟灯泡。然后从头遍历n次，每次步幅为n :param n: :return:"""
<|body_0|>
def func2(self, n):
"""思路：发现灯泡的被操作次数与这个数的因子个数有关。 比如12这个灯泡，当count=1、2、3、4、6、12时都将影响这个灯泡，它的最终结果是关！因为因子个数是偶数 所以一次遍历即可，且不需要额外的存储空间。 很抱歉地通知：时间超... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def bulbSwitch(self, n: int) -> int:
"""思路：首先，这一定是一个不可取的方法！创建个数组，模拟灯泡。然后从头遍历n次，每次步幅为n :param n: :return:"""
flag = []
for i in range(n):
flag.append(False)
count = 1
while count <= n:
idx = count
while idx <= n:
... | the_stack_v2_python_sparse | 2020-08/Q319-bulb_switch.py | EAGLE50/LearnLeetCode | train | 0 | |
24e38dfbd7c7d4f8642274b6fc8910979aed7da9 | [
"real_item_id = self.get_argument('real_item_id')\nif not real_item_id:\n return\nremark = self.get_argument('return_remark')\nreturn_amount = Decimal(self.get_argument('return_amount'))\npart_refund_price = self.get_argument('refund_part_price')\nif part_refund_price and Decimal(part_refund_price) > 0:\n ret... | <|body_start_0|>
real_item_id = self.get_argument('real_item_id')
if not real_item_id:
return
remark = self.get_argument('return_remark')
return_amount = Decimal(self.get_argument('return_amount'))
part_refund_price = self.get_argument('refund_part_price')
if ... | RealGoodsRefundHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RealGoodsRefundHandler:
def post(self):
"""处理退款、退货"""
<|body_0|>
def handleRefundOfNoSend(self, real_item, remark, return_amount):
"""处理退款"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
real_item_id = self.get_argument('real_item_id')
if no... | stack_v2_sparse_classes_75kplus_train_001358 | 9,076 | no_license | [
{
"docstring": "处理退款、退货",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "处理退款",
"name": "handleRefundOfNoSend",
"signature": "def handleRefundOfNoSend(self, real_item, remark, return_amount)"
}
] | 2 | stack_v2_sparse_classes_30k_train_053652 | Implement the Python class `RealGoodsRefundHandler` described below.
Class description:
Implement the RealGoodsRefundHandler class.
Method signatures and docstrings:
- def post(self): 处理退款、退货
- def handleRefundOfNoSend(self, real_item, remark, return_amount): 处理退款 | Implement the Python class `RealGoodsRefundHandler` described below.
Class description:
Implement the RealGoodsRefundHandler class.
Method signatures and docstrings:
- def post(self): 处理退款、退货
- def handleRefundOfNoSend(self, real_item, remark, return_amount): 处理退款
<|skeleton|>
class RealGoodsRefundHandler:
def ... | daf260ecd5adf553490a8ac6b389a74439234b6a | <|skeleton|>
class RealGoodsRefundHandler:
def post(self):
"""处理退款、退货"""
<|body_0|>
def handleRefundOfNoSend(self, real_item, remark, return_amount):
"""处理退款"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RealGoodsRefundHandler:
def post(self):
"""处理退款、退货"""
real_item_id = self.get_argument('real_item_id')
if not real_item_id:
return
remark = self.get_argument('return_remark')
return_amount = Decimal(self.get_argument('return_amount'))
part_refund_pri... | the_stack_v2_python_sparse | apps/op/controllers/real/return_entry.py | xutaoding/osp_autumn | train | 0 | |
8966446ff73c6fa6e2d697c6cebe86b7b7a67777 | [
"ConfigInitializer._generate_config_file_if_missing(path)\nconfig_parser = SafeConfigParser()\nconfig_parser.read(path)\nreturn config_parser",
"if not os.path.isfile(dest_path):\n print(dest_path + ' missing, generating new one from ' + src_path)\n copyfile(src_path, dest_path)"
] | <|body_start_0|>
ConfigInitializer._generate_config_file_if_missing(path)
config_parser = SafeConfigParser()
config_parser.read(path)
return config_parser
<|end_body_0|>
<|body_start_1|>
if not os.path.isfile(dest_path):
print(dest_path + ' missing, generating new on... | Initialize the SafeConfigParser. | ConfigInitializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigInitializer:
"""Initialize the SafeConfigParser."""
def get_config_parser(path=dir_path + '../config.ini'):
"""Get a SafeConfigParser that parses a given config file. :param path: input path to the config file :return: SafeConfigParser for the config file"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_001359 | 1,177 | no_license | [
{
"docstring": "Get a SafeConfigParser that parses a given config file. :param path: input path to the config file :return: SafeConfigParser for the config file",
"name": "get_config_parser",
"signature": "def get_config_parser(path=dir_path + '../config.ini')"
},
{
"docstring": "Make a copy of ... | 2 | stack_v2_sparse_classes_30k_train_037524 | Implement the Python class `ConfigInitializer` described below.
Class description:
Initialize the SafeConfigParser.
Method signatures and docstrings:
- def get_config_parser(path=dir_path + '../config.ini'): Get a SafeConfigParser that parses a given config file. :param path: input path to the config file :return: Sa... | Implement the Python class `ConfigInitializer` described below.
Class description:
Initialize the SafeConfigParser.
Method signatures and docstrings:
- def get_config_parser(path=dir_path + '../config.ini'): Get a SafeConfigParser that parses a given config file. :param path: input path to the config file :return: Sa... | 187023f93937985e10f593b032ea7f48c1d61060 | <|skeleton|>
class ConfigInitializer:
"""Initialize the SafeConfigParser."""
def get_config_parser(path=dir_path + '../config.ini'):
"""Get a SafeConfigParser that parses a given config file. :param path: input path to the config file :return: SafeConfigParser for the config file"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConfigInitializer:
"""Initialize the SafeConfigParser."""
def get_config_parser(path=dir_path + '../config.ini'):
"""Get a SafeConfigParser that parses a given config file. :param path: input path to the config file :return: SafeConfigParser for the config file"""
ConfigInitializer._gener... | the_stack_v2_python_sparse | config_initializer/config_initializer.py | janetzki/fact_extraction | train | 5 |
7bf94723357d75790a5614d990d0a1c7e3b1b865 | [
"kwargs['default'] = default\nkwargs['types'] = (tuple, list)\nsuper().__init__(**kwargs)",
"if isinstance(value, (list, tuple)) and all((isinstance(x, (int, float)) for x in value)):\n return value\nvalue = super().parse(value)\nif value is None or value is UNDEF:\n return value\nif callable(value):\n r... | <|body_start_0|>
kwargs['default'] = default
kwargs['types'] = (tuple, list)
super().__init__(**kwargs)
<|end_body_0|>
<|body_start_1|>
if isinstance(value, (list, tuple)) and all((isinstance(x, (int, float)) for x in value)):
return value
value = super().parse(value... | Defines a line dash property. The value must be provided as a list or tuple of numbers defining the length of lines and spaces in-between. | DashProperty | [
"LicenseRef-scancode-philippe-de-muyter",
"LicenseRef-scancode-commercial-license",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DashProperty:
"""Defines a line dash property. The value must be provided as a list or tuple of numbers defining the length of lines and spaces in-between."""
def __init__(self, default=UNDEF, **kwargs):
"""Initializes a new instance of DashProperty."""
<|body_0|>
def pa... | stack_v2_sparse_classes_75kplus_train_001360 | 4,576 | permissive | [
{
"docstring": "Initializes a new instance of DashProperty.",
"name": "__init__",
"signature": "def __init__(self, default=UNDEF, **kwargs)"
},
{
"docstring": "Validates and converts given value.",
"name": "parse",
"signature": "def parse(self, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010117 | Implement the Python class `DashProperty` described below.
Class description:
Defines a line dash property. The value must be provided as a list or tuple of numbers defining the length of lines and spaces in-between.
Method signatures and docstrings:
- def __init__(self, default=UNDEF, **kwargs): Initializes a new in... | Implement the Python class `DashProperty` described below.
Class description:
Defines a line dash property. The value must be provided as a list or tuple of numbers defining the length of lines and spaces in-between.
Method signatures and docstrings:
- def __init__(self, default=UNDEF, **kwargs): Initializes a new in... | d59b1bc056f3037b7b7ab635b6deb41120612965 | <|skeleton|>
class DashProperty:
"""Defines a line dash property. The value must be provided as a list or tuple of numbers defining the length of lines and spaces in-between."""
def __init__(self, default=UNDEF, **kwargs):
"""Initializes a new instance of DashProperty."""
<|body_0|>
def pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DashProperty:
"""Defines a line dash property. The value must be provided as a list or tuple of numbers defining the length of lines and spaces in-between."""
def __init__(self, default=UNDEF, **kwargs):
"""Initializes a new instance of DashProperty."""
kwargs['default'] = default
... | the_stack_v2_python_sparse | pero/properties/special.py | xxao/pero | train | 31 |
4dbd6f9a9560fcc80842e38cdf9741d712215c77 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | AzureStorageServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AzureStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listAzureStorage(self, request, context):
"""Storage"""
<|body_0|>
def getAzureStorage(self, request, context):
"""Missing associated documentation comment in .proto f... | stack_v2_sparse_classes_75kplus_train_001361 | 9,910 | permissive | [
{
"docstring": "Storage",
"name": "listAzureStorage",
"signature": "def listAzureStorage(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "getAzureStorage",
"signature": "def getAzureStorage(self, request, context)"
},
{
... | 5 | stack_v2_sparse_classes_30k_train_000199 | Implement the Python class `AzureStorageServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def listAzureStorage(self, request, context): Storage
- def getAzureStorage(self, request, context): Missing associated documentatio... | Implement the Python class `AzureStorageServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def listAzureStorage(self, request, context): Storage
- def getAzureStorage(self, request, context): Missing associated documentatio... | c69e14b409add099d151434b9add711e41f41b20 | <|skeleton|>
class AzureStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listAzureStorage(self, request, context):
"""Storage"""
<|body_0|>
def getAzureStorage(self, request, context):
"""Missing associated documentation comment in .proto f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AzureStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listAzureStorage(self, request, context):
"""Storage"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError(... | the_stack_v2_python_sparse | python-sdk/src/airavata_mft_sdk/azure/AzureStorageService_pb2_grpc.py | apache/airavata-mft | train | 23 |
d0b14fea03f5898aea3b93a4ce7f463b716b7f6b | [
"super(CreateVolumeServerfromSnapshotTest, cls).setUpClass()\ncls.server = cls.server_behaviors.create_active_server().entity\ncls.volume_sec = cls.blockstorage_behavior.create_available_volume(size=cls.volume_size, volume_type=cls.volume_type, image_ref=cls.image_ref, timeout=cls.volume_create_timeout)\ncls.snapsh... | <|body_start_0|>
super(CreateVolumeServerfromSnapshotTest, cls).setUpClass()
cls.server = cls.server_behaviors.create_active_server().entity
cls.volume_sec = cls.blockstorage_behavior.create_available_volume(size=cls.volume_size, volume_type=cls.volume_type, image_ref=cls.image_ref, timeout=cls.... | CreateVolumeServerfromSnapshotTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateVolumeServerfromSnapshotTest:
def setUpClass(cls):
"""Perform actions that setup the necessary resources for testing. The following resources are created during this setup: - Creates an active server. - Creates an available volume from CBS. - Creates an available snapshot. - Create... | stack_v2_sparse_classes_75kplus_train_001362 | 6,013 | permissive | [
{
"docstring": "Perform actions that setup the necessary resources for testing. The following resources are created during this setup: - Creates an active server. - Creates an available volume from CBS. - Creates an available snapshot. - Creates an active image. - Creates an available volume from snapshot. - Cr... | 3 | null | Implement the Python class `CreateVolumeServerfromSnapshotTest` described below.
Class description:
Implement the CreateVolumeServerfromSnapshotTest class.
Method signatures and docstrings:
- def setUpClass(cls): Perform actions that setup the necessary resources for testing. The following resources are created durin... | Implement the Python class `CreateVolumeServerfromSnapshotTest` described below.
Class description:
Implement the CreateVolumeServerfromSnapshotTest class.
Method signatures and docstrings:
- def setUpClass(cls): Perform actions that setup the necessary resources for testing. The following resources are created durin... | 30f0e64672676c3f90b4a582fe90fac6621475b3 | <|skeleton|>
class CreateVolumeServerfromSnapshotTest:
def setUpClass(cls):
"""Perform actions that setup the necessary resources for testing. The following resources are created during this setup: - Creates an active server. - Creates an available volume from CBS. - Creates an available snapshot. - Create... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CreateVolumeServerfromSnapshotTest:
def setUpClass(cls):
"""Perform actions that setup the necessary resources for testing. The following resources are created during this setup: - Creates an active server. - Creates an available volume from CBS. - Creates an available snapshot. - Creates an active im... | the_stack_v2_python_sparse | cloudroast/compute/integration/volumes/boot_from_volume/v1/images/test_volume_server_from_snapshot.py | RULCSoft/cloudroast | train | 1 | |
0da4dbf872686d52e81232857338deaa0950e0e3 | [
"self.start = start\nself.stop = stop\nself.step = step",
"n = self.start\nwhile n < self.stop:\n yield n\n n += self.step"
] | <|body_start_0|>
self.start = start
self.stop = stop
self.step = step
<|end_body_0|>
<|body_start_1|>
n = self.start
while n < self.stop:
yield n
n += self.step
<|end_body_1|>
| Create an iterable inexhaustable range-like object. three input parameters: start, stop, step=1 __iter__ but not __next__ is implemented to make objects of this class inexhaustable like range() | IterateMe_2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IterateMe_2:
"""Create an iterable inexhaustable range-like object. three input parameters: start, stop, step=1 __iter__ but not __next__ is implemented to make objects of this class inexhaustable like range()"""
def __init__(self, start, stop, step=1):
"""Parameters: start, stop (as... | stack_v2_sparse_classes_75kplus_train_001363 | 6,278 | no_license | [
{
"docstring": "Parameters: start, stop (assume > start), step (defaults to 1).",
"name": "__init__",
"signature": "def __init__(self, start, stop, step=1)"
},
{
"docstring": "Implement iter with yield statement.",
"name": "__iter__",
"signature": "def __iter__(self)"
}
] | 2 | null | Implement the Python class `IterateMe_2` described below.
Class description:
Create an iterable inexhaustable range-like object. three input parameters: start, stop, step=1 __iter__ but not __next__ is implemented to make objects of this class inexhaustable like range()
Method signatures and docstrings:
- def __init_... | Implement the Python class `IterateMe_2` described below.
Class description:
Create an iterable inexhaustable range-like object. three input parameters: start, stop, step=1 __iter__ but not __next__ is implemented to make objects of this class inexhaustable like range()
Method signatures and docstrings:
- def __init_... | eb151196178f27b23911fd937e082034fc17af3f | <|skeleton|>
class IterateMe_2:
"""Create an iterable inexhaustable range-like object. three input parameters: start, stop, step=1 __iter__ but not __next__ is implemented to make objects of this class inexhaustable like range()"""
def __init__(self, start, stop, step=1):
"""Parameters: start, stop (as... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IterateMe_2:
"""Create an iterable inexhaustable range-like object. three input parameters: start, stop, step=1 __iter__ but not __next__ is implemented to make objects of this class inexhaustable like range()"""
def __init__(self, start, stop, step=1):
"""Parameters: start, stop (assume > start)... | the_stack_v2_python_sparse | students/alex_skrn/Lesson01/iterator_1.py | pinstripezebra/Sp2018-Online | train | 0 |
7d56a6e7634b5bcb2548305e98d87218ce79f5a3 | [
"splitified = toParse.split('--------')\nsequence = list(splitified[0].rstrip().strip())\nsequence.insert(0, 'source')\nsequence.append('sink')\navailableStates = splitified[2].rstrip().strip().split()\ntransMatrix = splitified[3].rstrip().strip().splitlines()\nemissionMatrix = splitified[4].rstrip().strip().splitl... | <|body_start_0|>
splitified = toParse.split('--------')
sequence = list(splitified[0].rstrip().strip())
sequence.insert(0, 'source')
sequence.append('sink')
availableStates = splitified[2].rstrip().strip().split()
transMatrix = splitified[3].rstrip().strip().splitlines()
... | Parses the input file and builds/returns a dictionary of transition probabilities between states and a dictionary of emission probabilties (probability of a sequence given its state) | ForwardBackward | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ForwardBackward:
"""Parses the input file and builds/returns a dictionary of transition probabilities between states and a dictionary of emission probabilties (probability of a sequence given its state)"""
def parseInput(self, toParse):
"""Takes the input file and parses it the seque... | stack_v2_sparse_classes_75kplus_train_001364 | 5,166 | no_license | [
{
"docstring": "Takes the input file and parses it the sequence and states into lists and the transition and emission matrices into dictionaries",
"name": "parseInput",
"signature": "def parseInput(self, toParse)"
},
{
"docstring": "Constructs a graph as a dictionary of transition edges with the... | 4 | null | Implement the Python class `ForwardBackward` described below.
Class description:
Parses the input file and builds/returns a dictionary of transition probabilities between states and a dictionary of emission probabilties (probability of a sequence given its state)
Method signatures and docstrings:
- def parseInput(sel... | Implement the Python class `ForwardBackward` described below.
Class description:
Parses the input file and builds/returns a dictionary of transition probabilities between states and a dictionary of emission probabilties (probability of a sequence given its state)
Method signatures and docstrings:
- def parseInput(sel... | 93d0d0194341dd5a6cd6877fdd8b664a50bd9734 | <|skeleton|>
class ForwardBackward:
"""Parses the input file and builds/returns a dictionary of transition probabilities between states and a dictionary of emission probabilties (probability of a sequence given its state)"""
def parseInput(self, toParse):
"""Takes the input file and parses it the seque... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ForwardBackward:
"""Parses the input file and builds/returns a dictionary of transition probabilities between states and a dictionary of emission probabilties (probability of a sequence given its state)"""
def parseInput(self, toParse):
"""Takes the input file and parses it the sequence and state... | the_stack_v2_python_sparse | Bioinformatics-Algorithms/ubuntu-Seven/problem25.py | ajmak/Bioinformatics-Algorithms | train | 0 |
bf0b1422d15ebe8c48221d55aaab887a3da43790 | [
"j.builder.buildenv.install()\nif self.tools.isUbuntu:\n j.builder.system.package.ensure('g++')\nurl = 'https://capnproto.org/capnproto-c++-0.7.0.tar.gz'\nself.tools.file_download(url, to='{}/capnproto'.format(self.DIR_BUILD), overwrite=False, retry=3, expand=True, minsizekb=900, removeTopDir=True, deletedest=Tr... | <|body_start_0|>
j.builder.buildenv.install()
if self.tools.isUbuntu:
j.builder.system.package.ensure('g++')
url = 'https://capnproto.org/capnproto-c++-0.7.0.tar.gz'
self.tools.file_download(url, to='{}/capnproto'.format(self.DIR_BUILD), overwrite=False, retry=3, expand=True,... | BuilderCapnp | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuilderCapnp:
def build(self):
"""install capnp kosmos 'j.builder.libs.capnp.build(reset=True)' kosmos 'j.builder.libs.capnp.build()'"""
<|body_0|>
def install(self):
"""install capnp kosmos 'j.builder.libs.capnp.install()'"""
<|body_1|>
def test(self):
... | stack_v2_sparse_classes_75kplus_train_001365 | 1,668 | permissive | [
{
"docstring": "install capnp kosmos 'j.builder.libs.capnp.build(reset=True)' kosmos 'j.builder.libs.capnp.build()'",
"name": "build",
"signature": "def build(self)"
},
{
"docstring": "install capnp kosmos 'j.builder.libs.capnp.install()'",
"name": "install",
"signature": "def install(se... | 3 | stack_v2_sparse_classes_30k_train_047810 | Implement the Python class `BuilderCapnp` described below.
Class description:
Implement the BuilderCapnp class.
Method signatures and docstrings:
- def build(self): install capnp kosmos 'j.builder.libs.capnp.build(reset=True)' kosmos 'j.builder.libs.capnp.build()'
- def install(self): install capnp kosmos 'j.builder.... | Implement the Python class `BuilderCapnp` described below.
Class description:
Implement the BuilderCapnp class.
Method signatures and docstrings:
- def build(self): install capnp kosmos 'j.builder.libs.capnp.build(reset=True)' kosmos 'j.builder.libs.capnp.build()'
- def install(self): install capnp kosmos 'j.builder.... | 7fff1c40fcd226d33a1df8c89ee35677d62efb22 | <|skeleton|>
class BuilderCapnp:
def build(self):
"""install capnp kosmos 'j.builder.libs.capnp.build(reset=True)' kosmos 'j.builder.libs.capnp.build()'"""
<|body_0|>
def install(self):
"""install capnp kosmos 'j.builder.libs.capnp.install()'"""
<|body_1|>
def test(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BuilderCapnp:
def build(self):
"""install capnp kosmos 'j.builder.libs.capnp.build(reset=True)' kosmos 'j.builder.libs.capnp.build()'"""
j.builder.buildenv.install()
if self.tools.isUbuntu:
j.builder.system.package.ensure('g++')
url = 'https://capnproto.org/capnprot... | the_stack_v2_python_sparse | Jumpscale/builder/libs/BuilderCapnp.py | Pishoy/jumpscaleX | train | 0 | |
5a486f85abd0e2ecd39a71b267bac6375bd6f02a | [
"if self.is_empty():\n self.add_first(e)\nelse:\n self.add_after(self.last(), e)",
"if self.is_empty():\n self.add_first(e)\nelif self.before(p):\n self.add_after(self.before(p), e)\nelse:\n self.add_first(e)"
] | <|body_start_0|>
if self.is_empty():
self.add_first(e)
else:
self.add_after(self.last(), e)
<|end_body_0|>
<|body_start_1|>
if self.is_empty():
self.add_first(e)
elif self.before(p):
self.add_after(self.before(p), e)
else:
... | PList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PList:
def add_last(self, e):
"""Use methods in the following list to implement this method: {is_empty, first, last, before, after, add_after, add_first}"""
<|body_0|>
def add_before(self, p, e):
"""Use methods in the following list to implement this method: {is_empt... | stack_v2_sparse_classes_75kplus_train_001366 | 982 | no_license | [
{
"docstring": "Use methods in the following list to implement this method: {is_empty, first, last, before, after, add_after, add_first}",
"name": "add_last",
"signature": "def add_last(self, e)"
},
{
"docstring": "Use methods in the following list to implement this method: {is_empty, first, las... | 2 | null | Implement the Python class `PList` described below.
Class description:
Implement the PList class.
Method signatures and docstrings:
- def add_last(self, e): Use methods in the following list to implement this method: {is_empty, first, last, before, after, add_after, add_first}
- def add_before(self, p, e): Use method... | Implement the Python class `PList` described below.
Class description:
Implement the PList class.
Method signatures and docstrings:
- def add_last(self, e): Use methods in the following list to implement this method: {is_empty, first, last, before, after, add_after, add_first}
- def add_before(self, p, e): Use method... | 70b23ead7a89e46a84d9d914e7c8fa678edd1f90 | <|skeleton|>
class PList:
def add_last(self, e):
"""Use methods in the following list to implement this method: {is_empty, first, last, before, after, add_after, add_first}"""
<|body_0|>
def add_before(self, p, e):
"""Use methods in the following list to implement this method: {is_empt... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PList:
def add_last(self, e):
"""Use methods in the following list to implement this method: {is_empty, first, last, before, after, add_after, add_first}"""
if self.is_empty():
self.add_first(e)
else:
self.add_after(self.last(), e)
def add_before(self, p, e... | the_stack_v2_python_sparse | linded_list_ch07/reinforcement/positional_list_r7_16.py | wanyikang/dsap | train | 1 | |
36d62ba9d55f7c9d5af93892648b7a393e06f062 | [
"def wrapper(self, *args, **kwargs):\n try:\n return func(self, *args, **kwargs)\n except:\n pubTool = publicTool(self.poco)\n pubTool.allow_permissionBox()\n return func(self, *args, **kwargs)\nreturn wrapper",
"pubTool = publicTool(self.poco)\nif pubTool.get_Routetitle() == '选择... | <|body_start_0|>
def wrapper(self, *args, **kwargs):
try:
return func(self, *args, **kwargs)
except:
pubTool = publicTool(self.poco)
pubTool.allow_permissionBox()
return func(self, *args, **kwargs)
return wrapper
<|e... | idcardPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class idcardPage:
def permission(func):
"""处理权限弹框 :param func: :return:"""
<|body_0|>
def click_Chinese(self):
"""选择内地居民"""
<|body_1|>
def upload_idcardpositive(self):
"""身份证正面--国徽面"""
<|body_2|>
def upload_idcardNegative(self):
""... | stack_v2_sparse_classes_75kplus_train_001367 | 3,249 | no_license | [
{
"docstring": "处理权限弹框 :param func: :return:",
"name": "permission",
"signature": "def permission(func)"
},
{
"docstring": "选择内地居民",
"name": "click_Chinese",
"signature": "def click_Chinese(self)"
},
{
"docstring": "身份证正面--国徽面",
"name": "upload_idcardpositive",
"signature... | 4 | stack_v2_sparse_classes_30k_train_015614 | Implement the Python class `idcardPage` described below.
Class description:
Implement the idcardPage class.
Method signatures and docstrings:
- def permission(func): 处理权限弹框 :param func: :return:
- def click_Chinese(self): 选择内地居民
- def upload_idcardpositive(self): 身份证正面--国徽面
- def upload_idcardNegative(self): 身份证正面--人... | Implement the Python class `idcardPage` described below.
Class description:
Implement the idcardPage class.
Method signatures and docstrings:
- def permission(func): 处理权限弹框 :param func: :return:
- def click_Chinese(self): 选择内地居民
- def upload_idcardpositive(self): 身份证正面--国徽面
- def upload_idcardNegative(self): 身份证正面--人... | a741a858ab2ac6bb5e0befbea3a5efa0fe48383a | <|skeleton|>
class idcardPage:
def permission(func):
"""处理权限弹框 :param func: :return:"""
<|body_0|>
def click_Chinese(self):
"""选择内地居民"""
<|body_1|>
def upload_idcardpositive(self):
"""身份证正面--国徽面"""
<|body_2|>
def upload_idcardNegative(self):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class idcardPage:
def permission(func):
"""处理权限弹框 :param func: :return:"""
def wrapper(self, *args, **kwargs):
try:
return func(self, *args, **kwargs)
except:
pubTool = publicTool(self.poco)
pubTool.allow_permissionBox()
... | the_stack_v2_python_sparse | ElementPage/idcardPage.py | sevencrime/airtest-APP | train | 0 | |
1bb9db5eb0f6d75336bbc4809832f4967405ae92 | [
"try:\n release = Release.objects.get(organization_id=project.organization_id, projects=project, version=version)\nexcept Release.DoesNotExist:\n raise ResourceDoesNotExist\nreturn self.get_releasefile(request, release, file_id, check_permission_fn=lambda: has_download_permission(request, project))",
"try:\... | <|body_start_0|>
try:
release = Release.objects.get(organization_id=project.organization_id, projects=project, version=version)
except Release.DoesNotExist:
raise ResourceDoesNotExist
return self.get_releasefile(request, release, file_id, check_permission_fn=lambda: has_d... | ProjectReleaseFileDetailsEndpoint | [
"Apache-2.0",
"BUSL-1.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectReleaseFileDetailsEndpoint:
def get(self, request: Request, project, version, file_id) -> Response:
"""Retrieve a Project Release's File ````````````````````````````````` Return details on an individual file within a release. This does not actually return the contents of the file,... | stack_v2_sparse_classes_75kplus_train_001368 | 10,538 | permissive | [
{
"docstring": "Retrieve a Project Release's File ````````````````````````````````` Return details on an individual file within a release. This does not actually return the contents of the file, just the associated metadata. :pparam string organization_slug: the slug of the organization the release belongs to. ... | 3 | stack_v2_sparse_classes_30k_train_009621 | Implement the Python class `ProjectReleaseFileDetailsEndpoint` described below.
Class description:
Implement the ProjectReleaseFileDetailsEndpoint class.
Method signatures and docstrings:
- def get(self, request: Request, project, version, file_id) -> Response: Retrieve a Project Release's File ``````````````````````... | Implement the Python class `ProjectReleaseFileDetailsEndpoint` described below.
Class description:
Implement the ProjectReleaseFileDetailsEndpoint class.
Method signatures and docstrings:
- def get(self, request: Request, project, version, file_id) -> Response: Retrieve a Project Release's File ``````````````````````... | d9dd4f382f96b5c4576b64cbf015db651556c18b | <|skeleton|>
class ProjectReleaseFileDetailsEndpoint:
def get(self, request: Request, project, version, file_id) -> Response:
"""Retrieve a Project Release's File ````````````````````````````````` Return details on an individual file within a release. This does not actually return the contents of the file,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectReleaseFileDetailsEndpoint:
def get(self, request: Request, project, version, file_id) -> Response:
"""Retrieve a Project Release's File ````````````````````````````````` Return details on an individual file within a release. This does not actually return the contents of the file, just the asso... | the_stack_v2_python_sparse | src/sentry/api/endpoints/project_release_file_details.py | nagyist/sentry | train | 0 | |
4febda9545ec8124687e8d8e80a8f316120030ad | [
"if not isinstance(config.__class__, Config.__class__):\n raise TypeError(f'A config must be an instance of a class that implements AbstractConfig.')\nif not config.validate(workers=IterableRequirement(list, AbstractWorker), hook=MetaTypeRequirement(MetaHook), callback=TypeRequirement(types.MethodType), submissi... | <|body_start_0|>
if not isinstance(config.__class__, Config.__class__):
raise TypeError(f'A config must be an instance of a class that implements AbstractConfig.')
if not config.validate(workers=IterableRequirement(list, AbstractWorker), hook=MetaTypeRequirement(MetaHook), callback=TypeRequi... | MandateWorker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MandateWorker:
def __init__(self, config):
"""Initializes a mandate worker with a respective config which follows the following guideline: - a common mutable workers-queue:[AbstractWorker] - a hook for the dispatchers - a callback method - submitted data: - a requested payload - a runnin... | stack_v2_sparse_classes_75kplus_train_001369 | 4,071 | no_license | [
{
"docstring": "Initializes a mandate worker with a respective config which follows the following guideline: - a common mutable workers-queue:[AbstractWorker] - a hook for the dispatchers - a callback method - submitted data: - a requested payload - a running length - a suspension length :param config::Abstract... | 2 | stack_v2_sparse_classes_30k_val_002335 | Implement the Python class `MandateWorker` described below.
Class description:
Implement the MandateWorker class.
Method signatures and docstrings:
- def __init__(self, config): Initializes a mandate worker with a respective config which follows the following guideline: - a common mutable workers-queue:[AbstractWorke... | Implement the Python class `MandateWorker` described below.
Class description:
Implement the MandateWorker class.
Method signatures and docstrings:
- def __init__(self, config): Initializes a mandate worker with a respective config which follows the following guideline: - a common mutable workers-queue:[AbstractWorke... | 6eeedc6b61247bed79ec4d65e1ef77e89a39352f | <|skeleton|>
class MandateWorker:
def __init__(self, config):
"""Initializes a mandate worker with a respective config which follows the following guideline: - a common mutable workers-queue:[AbstractWorker] - a hook for the dispatchers - a callback method - submitted data: - a requested payload - a runnin... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MandateWorker:
def __init__(self, config):
"""Initializes a mandate worker with a respective config which follows the following guideline: - a common mutable workers-queue:[AbstractWorker] - a hook for the dispatchers - a callback method - submitted data: - a requested payload - a running length - a s... | the_stack_v2_python_sparse | application/tool/enumerator/utils/model/worker/mandate.py | VictorJan/Bruteforcer | train | 0 | |
18d06109c15b51173d876e3369f003a6570b10cc | [
"super(DirectEncoder, self).__init__()\nfor name, module in feature_modules.iteritems():\n self.add_module('feat-' + name, module)\nself.features = features",
"if offset is None:\n embeds = self.features(nodes, mode).t()\n norm = embeds.norm(p=2, dim=0, keepdim=True)\n return embeds.div(norm)\nelse:\n... | <|body_start_0|>
super(DirectEncoder, self).__init__()
for name, module in feature_modules.iteritems():
self.add_module('feat-' + name, module)
self.features = features
<|end_body_0|>
<|body_start_1|>
if offset is None:
embeds = self.features(nodes, mode).t()
... | Encodes a node as a embedding via direct lookup. (i.e., this is just like basic node2vec or matrix factorization) | DirectEncoder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DirectEncoder:
"""Encodes a node as a embedding via direct lookup. (i.e., this is just like basic node2vec or matrix factorization)"""
def __init__(self, features, feature_modules):
"""Initializes the model for a specific graph. features -- function mapping (node_list, features, offs... | stack_v2_sparse_classes_75kplus_train_001370 | 34,194 | permissive | [
{
"docstring": "Initializes the model for a specific graph. features -- function mapping (node_list, features, offset) to feature values see torch.nn.EmbeddingBag and forward function below docs for offset meaning. feature_modules -- This should be a map from mode -> torch.nn.EmbeddingBag features(nodes, mode):... | 2 | null | Implement the Python class `DirectEncoder` described below.
Class description:
Encodes a node as a embedding via direct lookup. (i.e., this is just like basic node2vec or matrix factorization)
Method signatures and docstrings:
- def __init__(self, features, feature_modules): Initializes the model for a specific graph... | Implement the Python class `DirectEncoder` described below.
Class description:
Encodes a node as a embedding via direct lookup. (i.e., this is just like basic node2vec or matrix factorization)
Method signatures and docstrings:
- def __init__(self, features, feature_modules): Initializes the model for a specific graph... | 0e5a630a8403d4c7965de0f71e2e22b95f7be7bd | <|skeleton|>
class DirectEncoder:
"""Encodes a node as a embedding via direct lookup. (i.e., this is just like basic node2vec or matrix factorization)"""
def __init__(self, features, feature_modules):
"""Initializes the model for a specific graph. features -- function mapping (node_list, features, offs... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DirectEncoder:
"""Encodes a node as a embedding via direct lookup. (i.e., this is just like basic node2vec or matrix factorization)"""
def __init__(self, features, feature_modules):
"""Initializes the model for a specific graph. features -- function mapping (node_list, features, offset) to featur... | the_stack_v2_python_sparse | graphqa/netquery/encoders.py | Moon-xm/se-kge | train | 0 |
76e461fa0de99880d0b5e6834962986dd7bba102 | [
"super(ConvolutionalEncoder, self).__init__()\nself.blocks = nn.ModuleList([Residual3dBlock(in_channels=channel[0], out_channels=channel[1], activation=activation, normalization=normalization, downscale=True, dropout=dropout) for channel in channels])\nself.final_mapping = nn.Sequential(nn.Conv3d(in_channels=channe... | <|body_start_0|>
super(ConvolutionalEncoder, self).__init__()
self.blocks = nn.ModuleList([Residual3dBlock(in_channels=channel[0], out_channels=channel[1], activation=activation, normalization=normalization, downscale=True, dropout=dropout) for channel in channels])
self.final_mapping = nn.Seque... | This class implements a 3d convolutional encoder for MRI volumes. | ConvolutionalEncoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvolutionalEncoder:
"""This class implements a 3d convolutional encoder for MRI volumes."""
def __init__(self, channels: Tuple[Tuple[int, int], ...]=((4, 4), (4, 4), (4, 8), (8, 16), (16, 32)), activation: Type[nn.Module]=nn.ReLU, normalization: Type[nn.Module]=nn.BatchNorm3d, dropout: flo... | stack_v2_sparse_classes_75kplus_train_001371 | 9,310 | permissive | [
{
"docstring": "Constructor method :param channels: (Tuple[Tuple[int, int], ...]) Channels (in and out) utilized in each block :param activation: (Type[nn.Module]) Type of activation to be used :param normalization: (Type[nn.Module]) Type of normalization to be used :param dropout: (float) Dropout rate to be ut... | 2 | stack_v2_sparse_classes_30k_train_030591 | Implement the Python class `ConvolutionalEncoder` described below.
Class description:
This class implements a 3d convolutional encoder for MRI volumes.
Method signatures and docstrings:
- def __init__(self, channels: Tuple[Tuple[int, int], ...]=((4, 4), (4, 4), (4, 8), (8, 16), (16, 32)), activation: Type[nn.Module]=... | Implement the Python class `ConvolutionalEncoder` described below.
Class description:
This class implements a 3d convolutional encoder for MRI volumes.
Method signatures and docstrings:
- def __init__(self, channels: Tuple[Tuple[int, int], ...]=((4, 4), (4, 4), (4, 8), (8, 16), (16, 32)), activation: Type[nn.Module]=... | 7d0066990822bf63ac6f40523a53e8ea938cd9a1 | <|skeleton|>
class ConvolutionalEncoder:
"""This class implements a 3d convolutional encoder for MRI volumes."""
def __init__(self, channels: Tuple[Tuple[int, int], ...]=((4, 4), (4, 4), (4, 8), (8, 16), (16, 32)), activation: Type[nn.Module]=nn.ReLU, normalization: Type[nn.Module]=nn.BatchNorm3d, dropout: flo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConvolutionalEncoder:
"""This class implements a 3d convolutional encoder for MRI volumes."""
def __init__(self, channels: Tuple[Tuple[int, int], ...]=((4, 4), (4, 4), (4, 8), (8, 16), (16, 32)), activation: Type[nn.Module]=nn.ReLU, normalization: Type[nn.Module]=nn.BatchNorm3d, dropout: float=0.0, **kwa... | the_stack_v2_python_sparse | oss_net/encoder.py | ChristophReich1996/OSS-Net | train | 22 |
9510a83adeb81c80dd396e63d1d809a7368ae555 | [
"scores = Scores.objects.all().values()\nothers = Other.objects.all().values()\nscore = [i for i in scores]\nother = [i for i in others]\nrs = score + other\nresult_dict = defaultdict(dict)\nfor d in rs:\n id_ = d['id']\n result_dict[id_].update(d)\nreturn result_dict.values()",
"temp_id = params.get('id', ... | <|body_start_0|>
scores = Scores.objects.all().values()
others = Other.objects.all().values()
score = [i for i in scores]
other = [i for i in others]
rs = score + other
result_dict = defaultdict(dict)
for d in rs:
id_ = d['id']
result_dict[... | 成绩页面处理逻辑 | ScoreManage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScoreManage:
"""成绩页面处理逻辑"""
def main_score(cls):
"""成绩显示的主页面"""
<|body_0|>
def mark_short(cls, params):
"""批改简答题部分"""
<|body_1|>
def save_short_score(cls, params):
"""传入分数并算总分"""
<|body_2|>
def record_page(cls, params):
"... | stack_v2_sparse_classes_75kplus_train_001372 | 8,285 | no_license | [
{
"docstring": "成绩显示的主页面",
"name": "main_score",
"signature": "def main_score(cls)"
},
{
"docstring": "批改简答题部分",
"name": "mark_short",
"signature": "def mark_short(cls, params)"
},
{
"docstring": "传入分数并算总分",
"name": "save_short_score",
"signature": "def save_short_score(c... | 4 | stack_v2_sparse_classes_30k_train_027467 | Implement the Python class `ScoreManage` described below.
Class description:
成绩页面处理逻辑
Method signatures and docstrings:
- def main_score(cls): 成绩显示的主页面
- def mark_short(cls, params): 批改简答题部分
- def save_short_score(cls, params): 传入分数并算总分
- def record_page(cls, params): 回溯页面 | Implement the Python class `ScoreManage` described below.
Class description:
成绩页面处理逻辑
Method signatures and docstrings:
- def main_score(cls): 成绩显示的主页面
- def mark_short(cls, params): 批改简答题部分
- def save_short_score(cls, params): 传入分数并算总分
- def record_page(cls, params): 回溯页面
<|skeleton|>
class ScoreManage:
"""成绩页面... | 4febccac57bfa5f7ef46f5f57e52206c8b0a57ac | <|skeleton|>
class ScoreManage:
"""成绩页面处理逻辑"""
def main_score(cls):
"""成绩显示的主页面"""
<|body_0|>
def mark_short(cls, params):
"""批改简答题部分"""
<|body_1|>
def save_short_score(cls, params):
"""传入分数并算总分"""
<|body_2|>
def record_page(cls, params):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScoreManage:
"""成绩页面处理逻辑"""
def main_score(cls):
"""成绩显示的主页面"""
scores = Scores.objects.all().values()
others = Other.objects.all().values()
score = [i for i in scores]
other = [i for i in others]
rs = score + other
result_dict = defaultdict(dict)
... | the_stack_v2_python_sparse | item/interview/backend/utils.py | soulorman/Python | train | 0 |
b216cd0a77b5ae88e58846c90524c662291e2596 | [
"d = {}\nfor col in self.__table__.columns:\n value = getattr(self, col.name)\n if issubclass(value.__class__, enum.Enum):\n value = value.name\n elif issubclass(value.__class__, cnaas_nms.db.base.Base):\n continue\n d[col.name] = value\nreturn d",
"index_num = 0\nmatch = re.match('^[a-z... | <|body_start_0|>
d = {}
for col in self.__table__.columns:
value = getattr(self, col.name)
if issubclass(value.__class__, enum.Enum):
value = value.name
elif issubclass(value.__class__, cnaas_nms.db.base.Base):
continue
d[co... | Interface | [
"BSD-2-Clause-Views",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interface:
def as_dict(self) -> dict:
"""Return JSON serializable dict."""
<|body_0|>
def interface_index_num(cls, ifname: str):
"""Calculate a unique numerical value for a physical interface name Ethernet1 -> 2 Ethernet1/0 -> 201 Ethernet4/3/2/1 -> 5040302 Args: ifn... | stack_v2_sparse_classes_75kplus_train_001373 | 2,845 | permissive | [
{
"docstring": "Return JSON serializable dict.",
"name": "as_dict",
"signature": "def as_dict(self) -> dict"
},
{
"docstring": "Calculate a unique numerical value for a physical interface name Ethernet1 -> 2 Ethernet1/0 -> 201 Ethernet4/3/2/1 -> 5040302 Args: ifname: interface name, ex Ethernet1... | 2 | null | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def as_dict(self) -> dict: Return JSON serializable dict.
- def interface_index_num(cls, ifname: str): Calculate a unique numerical value for a physical interface name Ethernet... | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def as_dict(self) -> dict: Return JSON serializable dict.
- def interface_index_num(cls, ifname: str): Calculate a unique numerical value for a physical interface name Ethernet... | d755dfed69bebe0c7bea66ad1802cba2cd89fec8 | <|skeleton|>
class Interface:
def as_dict(self) -> dict:
"""Return JSON serializable dict."""
<|body_0|>
def interface_index_num(cls, ifname: str):
"""Calculate a unique numerical value for a physical interface name Ethernet1 -> 2 Ethernet1/0 -> 201 Ethernet4/3/2/1 -> 5040302 Args: ifn... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Interface:
def as_dict(self) -> dict:
"""Return JSON serializable dict."""
d = {}
for col in self.__table__.columns:
value = getattr(self, col.name)
if issubclass(value.__class__, enum.Enum):
value = value.name
elif issubclass(value._... | the_stack_v2_python_sparse | src/cnaas_nms/db/interface.py | SUNET/cnaas-nms | train | 67 | |
5c1c6cf1f359088b42e0965fa4ac36b2439efe41 | [
"super(RKDLoss, self).__init__()\nself.distance_loss_weight = distance_loss_weight\nself.angle_loss_weight = angle_loss_weight",
"if self.distance_loss_weight > 0:\n with torch.no_grad():\n t_dist = self.pdist(feature_teacher, squared=False)\n mean_td = t_dist[t_dist > 0].mean()\n t_dist =... | <|body_start_0|>
super(RKDLoss, self).__init__()
self.distance_loss_weight = distance_loss_weight
self.angle_loss_weight = angle_loss_weight
<|end_body_0|>
<|body_start_1|>
if self.distance_loss_weight > 0:
with torch.no_grad():
t_dist = self.pdist(feature_te... | Compute RKD Distance Loss. Paper Refer to: Relational Knowledge Disitllation, CVPR2019. https://arxiv.org/abs/1904.05068 Code Refer to: https://github.com/HobbitLong/RepDistiller/blob/master/distiller_zoo/RKD.py and https://github.com/lenscloth/RKD/blob/master/metric/loss.py | RKDLoss | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RKDLoss:
"""Compute RKD Distance Loss. Paper Refer to: Relational Knowledge Disitllation, CVPR2019. https://arxiv.org/abs/1904.05068 Code Refer to: https://github.com/HobbitLong/RepDistiller/blob/master/distiller_zoo/RKD.py and https://github.com/lenscloth/RKD/blob/master/metric/loss.py"""
d... | stack_v2_sparse_classes_75kplus_train_001374 | 12,454 | permissive | [
{
"docstring": "Parameters ---------- distance_loss_weight Weight of RKD distance loss angle_loss_weight Weight of RKD angle loss Returns -------",
"name": "__init__",
"signature": "def __init__(self, distance_loss_weight: Optional[float]=25.0, angle_loss_weight: Optional[float]=50.0)"
},
{
"doc... | 3 | null | Implement the Python class `RKDLoss` described below.
Class description:
Compute RKD Distance Loss. Paper Refer to: Relational Knowledge Disitllation, CVPR2019. https://arxiv.org/abs/1904.05068 Code Refer to: https://github.com/HobbitLong/RepDistiller/blob/master/distiller_zoo/RKD.py and https://github.com/lenscloth/R... | Implement the Python class `RKDLoss` described below.
Class description:
Compute RKD Distance Loss. Paper Refer to: Relational Knowledge Disitllation, CVPR2019. https://arxiv.org/abs/1904.05068 Code Refer to: https://github.com/HobbitLong/RepDistiller/blob/master/distiller_zoo/RKD.py and https://github.com/lenscloth/R... | 6af92e149491f6e5062495d87306b3625d12d992 | <|skeleton|>
class RKDLoss:
"""Compute RKD Distance Loss. Paper Refer to: Relational Knowledge Disitllation, CVPR2019. https://arxiv.org/abs/1904.05068 Code Refer to: https://github.com/HobbitLong/RepDistiller/blob/master/distiller_zoo/RKD.py and https://github.com/lenscloth/RKD/blob/master/metric/loss.py"""
d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RKDLoss:
"""Compute RKD Distance Loss. Paper Refer to: Relational Knowledge Disitllation, CVPR2019. https://arxiv.org/abs/1904.05068 Code Refer to: https://github.com/HobbitLong/RepDistiller/blob/master/distiller_zoo/RKD.py and https://github.com/lenscloth/RKD/blob/master/metric/loss.py"""
def __init__(s... | the_stack_v2_python_sparse | multimodal/src/autogluon/multimodal/optimization/losses.py | stjordanis/autogluon | train | 0 |
bd3b7fbed6a091f1c8f2fe64d9510d4a7534ff00 | [
"assert len(data) == len(labels), 'Unmatchable dataset!'\nassert K <= len(data), 'K is over size!'\nself.dataset = np.array(data)\nself.labels = labels\nself.num = len(self.dataset)\nself.K = K",
"euclidean_distance = []\nfor i in range(self.num):\n euclidean_distance.append((np.sqrt((self.dataset[i][0] - samp... | <|body_start_0|>
assert len(data) == len(labels), 'Unmatchable dataset!'
assert K <= len(data), 'K is over size!'
self.dataset = np.array(data)
self.labels = labels
self.num = len(self.dataset)
self.K = K
<|end_body_0|>
<|body_start_1|>
euclidean_distance = []
... | KNN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KNN:
def __init__(self, data, labels: List, K=9):
""":param data: 训练集数据，[(x1, y1), (x2, y2), ... ] :param labels: 训练集标注，与data对应， [label1, label2, ... ] :param K: 统计的邻居数"""
<|body_0|>
def predict(self, sample):
"""预测sample所属的类别"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_001375 | 2,643 | no_license | [
{
"docstring": ":param data: 训练集数据，[(x1, y1), (x2, y2), ... ] :param labels: 训练集标注，与data对应， [label1, label2, ... ] :param K: 统计的邻居数",
"name": "__init__",
"signature": "def __init__(self, data, labels: List, K=9)"
},
{
"docstring": "预测sample所属的类别",
"name": "predict",
"signature": "def pre... | 2 | stack_v2_sparse_classes_30k_train_051375 | Implement the Python class `KNN` described below.
Class description:
Implement the KNN class.
Method signatures and docstrings:
- def __init__(self, data, labels: List, K=9): :param data: 训练集数据，[(x1, y1), (x2, y2), ... ] :param labels: 训练集标注，与data对应， [label1, label2, ... ] :param K: 统计的邻居数
- def predict(self, sample)... | Implement the Python class `KNN` described below.
Class description:
Implement the KNN class.
Method signatures and docstrings:
- def __init__(self, data, labels: List, K=9): :param data: 训练集数据，[(x1, y1), (x2, y2), ... ] :param labels: 训练集标注，与data对应， [label1, label2, ... ] :param K: 统计的邻居数
- def predict(self, sample)... | 2a906dd94e9b092d201eb7fdb078f56ed7eefce0 | <|skeleton|>
class KNN:
def __init__(self, data, labels: List, K=9):
""":param data: 训练集数据，[(x1, y1), (x2, y2), ... ] :param labels: 训练集标注，与data对应， [label1, label2, ... ] :param K: 统计的邻居数"""
<|body_0|>
def predict(self, sample):
"""预测sample所属的类别"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KNN:
def __init__(self, data, labels: List, K=9):
""":param data: 训练集数据，[(x1, y1), (x2, y2), ... ] :param labels: 训练集标注，与data对应， [label1, label2, ... ] :param K: 统计的邻居数"""
assert len(data) == len(labels), 'Unmatchable dataset!'
assert K <= len(data), 'K is over size!'
self.data... | the_stack_v2_python_sparse | 《算法之美》/MachineLearning-KNN.py | noob-cod/Algorithm-python | train | 0 | |
a9e3593ebca8db719cb0f34061d85471d2e40b4e | [
"super().__init__()\nself.fc_x = nn.Linear(x_size, self.hidden_units[0])\nself.fc_y = nn.Linear(y_size, self.hidden_units[0])\nfc_hidden = []\nfor in_features, out_features in zip(self.hidden_units[0:], self.hidden_units[1:]):\n fc_hidden.append(nn.Linear(in_features=in_features, out_features=out_features))\nsel... | <|body_start_0|>
super().__init__()
self.fc_x = nn.Linear(x_size, self.hidden_units[0])
self.fc_y = nn.Linear(y_size, self.hidden_units[0])
fc_hidden = []
for in_features, out_features in zip(self.hidden_units[0:], self.hidden_units[1:]):
fc_hidden.append(nn.Linear(in... | https://arxiv.org/pdf/1801.04062.pdf | MutualInfoNeuralEstimationNetwork | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MutualInfoNeuralEstimationNetwork:
"""https://arxiv.org/pdf/1801.04062.pdf"""
def __init__(self, x_size: int, y_size: int):
""":param x_size: hidden layer shape :param y_size: input/target data shape"""
<|body_0|>
def forward(self, x, y):
""":param x: some hidden... | stack_v2_sparse_classes_75kplus_train_001376 | 10,285 | permissive | [
{
"docstring": ":param x_size: hidden layer shape :param y_size: input/target data shape",
"name": "__init__",
"signature": "def __init__(self, x_size: int, y_size: int)"
},
{
"docstring": ":param x: some hidden layer batch activations of shape (batch_size, embedding_size) :param y: either input... | 2 | stack_v2_sparse_classes_30k_train_043336 | Implement the Python class `MutualInfoNeuralEstimationNetwork` described below.
Class description:
https://arxiv.org/pdf/1801.04062.pdf
Method signatures and docstrings:
- def __init__(self, x_size: int, y_size: int): :param x_size: hidden layer shape :param y_size: input/target data shape
- def forward(self, x, y): ... | Implement the Python class `MutualInfoNeuralEstimationNetwork` described below.
Class description:
https://arxiv.org/pdf/1801.04062.pdf
Method signatures and docstrings:
- def __init__(self, x_size: int, y_size: int): :param x_size: hidden layer shape :param y_size: input/target data shape
- def forward(self, x, y): ... | 9777075d6bb15ee0215a62fb0bf6ed5247a9e58e | <|skeleton|>
class MutualInfoNeuralEstimationNetwork:
"""https://arxiv.org/pdf/1801.04062.pdf"""
def __init__(self, x_size: int, y_size: int):
""":param x_size: hidden layer shape :param y_size: input/target data shape"""
<|body_0|>
def forward(self, x, y):
""":param x: some hidden... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MutualInfoNeuralEstimationNetwork:
"""https://arxiv.org/pdf/1801.04062.pdf"""
def __init__(self, x_size: int, y_size: int):
""":param x_size: hidden layer shape :param y_size: input/target data shape"""
super().__init__()
self.fc_x = nn.Linear(x_size, self.hidden_units[0])
... | the_stack_v2_python_sparse | monitor/mutual_info/neural_estimation.py | hronoses/EmbedderSDR | train | 0 |
cbccd7f63b292b12037f6fa05b62befee0b6a20a | [
"self.tik_instance = tik.Tik(tik.Dprofile())\nself.aicore_num = cce.cce_conf.get_soc_spec(cce.cce_conf.CORE_NUM)\nself.shape = list(shape)\nself.dtype = dtype\nself.kernel_name = kernel_name\nblock_byte_size = 32\ndtype_byte_size = cce.cce_intrin.get_bit_len(dtype) // 8\nself.data_each_block = block_byte_size // dt... | <|body_start_0|>
self.tik_instance = tik.Tik(tik.Dprofile())
self.aicore_num = cce.cce_conf.get_soc_spec(cce.cce_conf.CORE_NUM)
self.shape = list(shape)
self.dtype = dtype
self.kernel_name = kernel_name
block_byte_size = 32
dtype_byte_size = cce.cce_intrin.get_bit... | Function: move the data from gm to gm via ub | MoveFromGm2Gm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MoveFromGm2Gm:
"""Function: move the data from gm to gm via ub"""
def __init__(self, shape, dtype, kernel_name):
"""init the parameters Parameters ---------- shape: tuple or list the shape of input tensor dtype: string the dtype of input tensor kernel_name: str kernel name, default v... | stack_v2_sparse_classes_75kplus_train_001377 | 39,050 | no_license | [
{
"docstring": "init the parameters Parameters ---------- shape: tuple or list the shape of input tensor dtype: string the dtype of input tensor kernel_name: str kernel name, default value is \"reverse_ext2\" Returns ------- None",
"name": "__init__",
"signature": "def __init__(self, shape, dtype, kerne... | 5 | stack_v2_sparse_classes_30k_train_012455 | Implement the Python class `MoveFromGm2Gm` described below.
Class description:
Function: move the data from gm to gm via ub
Method signatures and docstrings:
- def __init__(self, shape, dtype, kernel_name): init the parameters Parameters ---------- shape: tuple or list the shape of input tensor dtype: string the dtyp... | Implement the Python class `MoveFromGm2Gm` described below.
Class description:
Function: move the data from gm to gm via ub
Method signatures and docstrings:
- def __init__(self, shape, dtype, kernel_name): init the parameters Parameters ---------- shape: tuple or list the shape of input tensor dtype: string the dtyp... | 148511a31bfd195df889291946c43bb585acb546 | <|skeleton|>
class MoveFromGm2Gm:
"""Function: move the data from gm to gm via ub"""
def __init__(self, shape, dtype, kernel_name):
"""init the parameters Parameters ---------- shape: tuple or list the shape of input tensor dtype: string the dtype of input tensor kernel_name: str kernel name, default v... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MoveFromGm2Gm:
"""Function: move the data from gm to gm via ub"""
def __init__(self, shape, dtype, kernel_name):
"""init the parameters Parameters ---------- shape: tuple or list the shape of input tensor dtype: string the dtype of input tensor kernel_name: str kernel name, default value is "reve... | the_stack_v2_python_sparse | convertor/huawei/impl/reverse_v2_d.py | jizhuoran/caffe-huawei-atlas-convertor | train | 4 |
6be7b4569a4ded2ec185a27a8966a83f2b369e4c | [
"super().__init__(model, nb_epochs, mini_batch_size, lr, criterion)\nif not isinstance(b1, float) or not 0 <= b1 <= 1:\n raise ValueError('Beta 1 must be a float in [0, 1]')\nif not isinstance(b2, float) or not 0 <= b2 <= 1:\n raise ValueError('Beta 2 must be a float in [0, 1]')\nif not isinstance(epsilon, fl... | <|body_start_0|>
super().__init__(model, nb_epochs, mini_batch_size, lr, criterion)
if not isinstance(b1, float) or not 0 <= b1 <= 1:
raise ValueError('Beta 1 must be a float in [0, 1]')
if not isinstance(b2, float) or not 0 <= b2 <= 1:
raise ValueError('Beta 2 must be a ... | Class implementing mini-batch Adam optimization | Adam | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Adam:
"""Class implementing mini-batch Adam optimization"""
def __init__(self, model, nb_epochs=50, mini_batch_size=1, lr=0.001, criterion=LossMSE(), b1=0.9, b2=0.999, epsilon=1e-08):
"""Adam constructor :param model: the model to train, models.Sequential object (only one currently p... | stack_v2_sparse_classes_75kplus_train_001378 | 8,106 | no_license | [
{
"docstring": "Adam constructor :param model: the model to train, models.Sequential object (only one currently possible) :param nb_epochs: maximum number of training epochs, positive int, optional, default is 50 :param mini_batch_size: number of samples per mini-batch, int in [1, num_train_samples], optional, ... | 2 | null | Implement the Python class `Adam` described below.
Class description:
Class implementing mini-batch Adam optimization
Method signatures and docstrings:
- def __init__(self, model, nb_epochs=50, mini_batch_size=1, lr=0.001, criterion=LossMSE(), b1=0.9, b2=0.999, epsilon=1e-08): Adam constructor :param model: the model... | Implement the Python class `Adam` described below.
Class description:
Class implementing mini-batch Adam optimization
Method signatures and docstrings:
- def __init__(self, model, nb_epochs=50, mini_batch_size=1, lr=0.001, criterion=LossMSE(), b1=0.9, b2=0.999, epsilon=1e-08): Adam constructor :param model: the model... | ff82572e5a7f7df12fca5a79f07fc260afe70209 | <|skeleton|>
class Adam:
"""Class implementing mini-batch Adam optimization"""
def __init__(self, model, nb_epochs=50, mini_batch_size=1, lr=0.001, criterion=LossMSE(), b1=0.9, b2=0.999, epsilon=1e-08):
"""Adam constructor :param model: the model to train, models.Sequential object (only one currently p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Adam:
"""Class implementing mini-batch Adam optimization"""
def __init__(self, model, nb_epochs=50, mini_batch_size=1, lr=0.001, criterion=LossMSE(), b1=0.9, b2=0.999, epsilon=1e-08):
"""Adam constructor :param model: the model to train, models.Sequential object (only one currently possible) :par... | the_stack_v2_python_sparse | Proj2/train.py | Nic9407/DeepLearning-EPFL | train | 0 |
ba289cd7d160fcd3ba650825071d46f3cd95dc7d | [
"self._cvm = config['cvm']\nself._name = config['name']\nself._slots = [str(slot) for slot in config['slots']]\nself._mf_dim = config['mf_dim']\nself._backward = config['backward']\nself._emb_dim = self._mf_dim + 3\nself._emb_layers = []",
"show_clk = fluid.layers.concat([param['layer']['show'], param['layer']['c... | <|body_start_0|>
self._cvm = config['cvm']
self._name = config['name']
self._slots = [str(slot) for slot in config['slots']]
self._mf_dim = config['mf_dim']
self._backward = config['backward']
self._emb_dim = self._mf_dim + 3
self._emb_layers = []
<|end_body_0|>
... | embedding + sequence + concat | EmbeddingFuseLayer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmbeddingFuseLayer:
"""embedding + sequence + concat"""
def __init__(self, config):
"""R"""
<|body_0|>
def generate(self, param):
"""R"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self._cvm = config['cvm']
self._name = config['name']
... | stack_v2_sparse_classes_75kplus_train_001379 | 10,717 | permissive | [
{
"docstring": "R",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "R",
"name": "generate",
"signature": "def generate(self, param)"
}
] | 2 | null | Implement the Python class `EmbeddingFuseLayer` described below.
Class description:
embedding + sequence + concat
Method signatures and docstrings:
- def __init__(self, config): R
- def generate(self, param): R | Implement the Python class `EmbeddingFuseLayer` described below.
Class description:
embedding + sequence + concat
Method signatures and docstrings:
- def __init__(self, config): R
- def generate(self, param): R
<|skeleton|>
class EmbeddingFuseLayer:
"""embedding + sequence + concat"""
def __init__(self, con... | 98872470969ab640de1a76d295b93ae155519ecd | <|skeleton|>
class EmbeddingFuseLayer:
"""embedding + sequence + concat"""
def __init__(self, config):
"""R"""
<|body_0|>
def generate(self, param):
"""R"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmbeddingFuseLayer:
"""embedding + sequence + concat"""
def __init__(self, config):
"""R"""
self._cvm = config['cvm']
self._name = config['name']
self._slots = [str(slot) for slot in config['slots']]
self._mf_dim = config['mf_dim']
self._backward = config['... | the_stack_v2_python_sparse | core/modules/modul/layers.py | frankwhzhang/PaddleRec | train | 3 |
fe6183ae51829d4cd615e3be642be74de34b7af6 | [
"super().__init__(**kwargs)\nself.model = self.build_model(self.feature_shape, self.data.num_classes, **kwargs)\nself.set_logger()\nprint(self.model.summary())\nif self.data is not None:\n print('Training set size: %d; Validation set size: %d' % (self.get_training_data_size(), self.get_validation_data_size()))",... | <|body_start_0|>
super().__init__(**kwargs)
self.model = self.build_model(self.feature_shape, self.data.num_classes, **kwargs)
self.set_logger()
print(self.model.summary())
if self.data is not None:
print('Training set size: %d; Validation set size: %d' % (self.get_tr... | A basic convolutional neural network model. | KerasCNN | [
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-protobuf",
"Apache-2.0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KerasCNN:
"""A basic convolutional neural network model."""
def __init__(self, **kwargs):
"""Initializer Args: **kwargs: Additional parameters to pass to the function"""
<|body_0|>
def build_model(self, input_shape, num_classes, conv_kernel_size=(4, 4), conv_strides=(2, ... | stack_v2_sparse_classes_75kplus_train_001380 | 3,114 | permissive | [
{
"docstring": "Initializer Args: **kwargs: Additional parameters to pass to the function",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "Define the model architecture. Args: input_shape (numpy.ndarray): The shape of the data num_classes (int): The number of ... | 2 | stack_v2_sparse_classes_30k_train_033008 | Implement the Python class `KerasCNN` described below.
Class description:
A basic convolutional neural network model.
Method signatures and docstrings:
- def __init__(self, **kwargs): Initializer Args: **kwargs: Additional parameters to pass to the function
- def build_model(self, input_shape, num_classes, conv_kerne... | Implement the Python class `KerasCNN` described below.
Class description:
A basic convolutional neural network model.
Method signatures and docstrings:
- def __init__(self, **kwargs): Initializer Args: **kwargs: Additional parameters to pass to the function
- def build_model(self, input_shape, num_classes, conv_kerne... | d8e2d22dfccfb8488f70f1fb5593d4e6ee1eca1f | <|skeleton|>
class KerasCNN:
"""A basic convolutional neural network model."""
def __init__(self, **kwargs):
"""Initializer Args: **kwargs: Additional parameters to pass to the function"""
<|body_0|>
def build_model(self, input_shape, num_classes, conv_kernel_size=(4, 4), conv_strides=(2, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KerasCNN:
"""A basic convolutional neural network model."""
def __init__(self, **kwargs):
"""Initializer Args: **kwargs: Additional parameters to pass to the function"""
super().__init__(**kwargs)
self.model = self.build_model(self.feature_shape, self.data.num_classes, **kwargs)
... | the_stack_v2_python_sparse | openfl/models/tensorflow/keras_cnn/keras_cnn.py | sbakas/OpenFederatedLearning-1 | train | 0 |
54581552b7ca7416920e3e8caf13da8e89da3d02 | [
"self.zoneType = zoneType\nself.filter = filter\nself.thenEffects = thenEffects",
"zone = context.loadZone(self.zoneType)\npossibleCards = self.filter.evaluate(context)\nevent = CardsEvent(possibleCards, zone, context)\ncoroutine = PerformEffects(self.thenEffects, event.context)\nresponse = (yield coroutine.next(... | <|body_start_0|>
self.zoneType = zoneType
self.filter = filter
self.thenEffects = thenEffects
<|end_body_0|>
<|body_start_1|>
zone = context.loadZone(self.zoneType)
possibleCards = self.filter.evaluate(context)
event = CardsEvent(possibleCards, zone, context)
cor... | Represents an effect to pick cards from a zone and an optional filter | Filter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Filter:
"""Represents an effect to pick cards from a zone and an optional filter"""
def __init__(self, zoneType, filter, thenEffects):
"""Initialize the options"""
<|body_0|>
def perform(self, context):
"""Perform the Game Effect"""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_75kplus_train_001381 | 858 | no_license | [
{
"docstring": "Initialize the options",
"name": "__init__",
"signature": "def __init__(self, zoneType, filter, thenEffects)"
},
{
"docstring": "Perform the Game Effect",
"name": "perform",
"signature": "def perform(self, context)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009245 | Implement the Python class `Filter` described below.
Class description:
Represents an effect to pick cards from a zone and an optional filter
Method signatures and docstrings:
- def __init__(self, zoneType, filter, thenEffects): Initialize the options
- def perform(self, context): Perform the Game Effect | Implement the Python class `Filter` described below.
Class description:
Represents an effect to pick cards from a zone and an optional filter
Method signatures and docstrings:
- def __init__(self, zoneType, filter, thenEffects): Initialize the options
- def perform(self, context): Perform the Game Effect
<|skeleton|... | 0b5a7573a3cf33430fe61e4ff8a8a7a0ae20b258 | <|skeleton|>
class Filter:
"""Represents an effect to pick cards from a zone and an optional filter"""
def __init__(self, zoneType, filter, thenEffects):
"""Initialize the options"""
<|body_0|>
def perform(self, context):
"""Perform the Game Effect"""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Filter:
"""Represents an effect to pick cards from a zone and an optional filter"""
def __init__(self, zoneType, filter, thenEffects):
"""Initialize the options"""
self.zoneType = zoneType
self.filter = filter
self.thenEffects = thenEffects
def perform(self, context):... | the_stack_v2_python_sparse | src/Game/Effects/filter.py | dfwarden/DeckBuilding | train | 0 |
d3c4973ebb4599aae04a88b822e28d65139846dc | [
"active_object = context.active_object\nif active_object and active_object.type == 'ARMATURE' and active_object.animation_data:\n action = active_object.animation_data.action\n if action:\n _animation_utils.set_fps_for_preview(context.scene, self.length, self.anim_start, self.anim_end)",
"active_obje... | <|body_start_0|>
active_object = context.active_object
if active_object and active_object.type == 'ARMATURE' and active_object.animation_data:
action = active_object.animation_data.action
if action:
_animation_utils.set_fps_for_preview(context.scene, self.length, ... | Animation property inventory, which gets saved into *.blend file. | ObjectAnimationInventoryItem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObjectAnimationInventoryItem:
"""Animation property inventory, which gets saved into *.blend file."""
def length_update(self, context):
"""If the total time for animation is tweaked, FPS value is recalculated to keep the playback speed as close as possible to the resulting playback s... | stack_v2_sparse_classes_75kplus_train_001382 | 48,834 | no_license | [
{
"docstring": "If the total time for animation is tweaked, FPS value is recalculated to keep the playback speed as close as possible to the resulting playback speed in the game engine. :param context: Blender Context :type context: bpy.types.Context",
"name": "length_update",
"signature": "def length_u... | 3 | stack_v2_sparse_classes_30k_train_010420 | Implement the Python class `ObjectAnimationInventoryItem` described below.
Class description:
Animation property inventory, which gets saved into *.blend file.
Method signatures and docstrings:
- def length_update(self, context): If the total time for animation is tweaked, FPS value is recalculated to keep the playba... | Implement the Python class `ObjectAnimationInventoryItem` described below.
Class description:
Animation property inventory, which gets saved into *.blend file.
Method signatures and docstrings:
- def length_update(self, context): If the total time for animation is tweaked, FPS value is recalculated to keep the playba... | 7b796d30dfd22b7706a93e4419ed913d18d29a44 | <|skeleton|>
class ObjectAnimationInventoryItem:
"""Animation property inventory, which gets saved into *.blend file."""
def length_update(self, context):
"""If the total time for animation is tweaked, FPS value is recalculated to keep the playback speed as close as possible to the resulting playback s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ObjectAnimationInventoryItem:
"""Animation property inventory, which gets saved into *.blend file."""
def length_update(self, context):
"""If the total time for animation is tweaked, FPS value is recalculated to keep the playback speed as close as possible to the resulting playback speed in the g... | the_stack_v2_python_sparse | All_In_One/addons/io_scs_tools/properties/object.py | 2434325680/Learnbgame | train | 0 |
611b84c36bee10e39968b29376b6f74735da43fe | [
"super().__init__(option_strings=option_strings, dest=dest, nargs=nargs, const=const, default=default, type=type, choices=choices, required=required, help=help, metavar=metavar)\nif hasattr(signal, 'Signals'):\n\n def _signal_number(signame):\n cooked = 'SIG{}'.format(signame)\n try:\n r... | <|body_start_0|>
super().__init__(option_strings=option_strings, dest=dest, nargs=nargs, const=const, default=default, type=type, choices=choices, required=required, help=help, metavar=metavar)
if hasattr(signal, 'Signals'):
def _signal_number(signame):
cooked = 'SIG{}'.form... | Validate input as a signal. | SignalAction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignalAction:
"""Validate input as a signal."""
def __init__(self, option_strings, dest, nargs=None, const=None, default=None, type=str, choices=None, required=False, help='The signal to send. It may be given as a name or a number.', metavar='SIGNAL'):
"""Create SignalAction object."... | stack_v2_sparse_classes_75kplus_train_001383 | 7,908 | permissive | [
{
"docstring": "Create SignalAction object.",
"name": "__init__",
"signature": "def __init__(self, option_strings, dest, nargs=None, const=None, default=None, type=str, choices=None, required=False, help='The signal to send. It may be given as a name or a number.', metavar='SIGNAL')"
},
{
"docst... | 2 | stack_v2_sparse_classes_30k_train_047984 | Implement the Python class `SignalAction` described below.
Class description:
Validate input as a signal.
Method signatures and docstrings:
- def __init__(self, option_strings, dest, nargs=None, const=None, default=None, type=str, choices=None, required=False, help='The signal to send. It may be given as a name or a ... | Implement the Python class `SignalAction` described below.
Class description:
Validate input as a signal.
Method signatures and docstrings:
- def __init__(self, option_strings, dest, nargs=None, const=None, default=None, type=str, choices=None, required=False, help='The signal to send. It may be given as a name or a ... | 94a46127cb0db2b6187186788a941ec72af476dd | <|skeleton|>
class SignalAction:
"""Validate input as a signal."""
def __init__(self, option_strings, dest, nargs=None, const=None, default=None, type=str, choices=None, required=False, help='The signal to send. It may be given as a name or a number.', metavar='SIGNAL'):
"""Create SignalAction object."... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SignalAction:
"""Validate input as a signal."""
def __init__(self, option_strings, dest, nargs=None, const=None, default=None, type=str, choices=None, required=False, help='The signal to send. It may be given as a name or a number.', metavar='SIGNAL'):
"""Create SignalAction object."""
su... | the_stack_v2_python_sparse | pypodman/pypodman/lib/parser_actions.py | 4383/python-podman | train | 0 |
1ba3dc14fb641f05813677091a0c053fdcf290f0 | [
"maxprofit = 0\nfor i in range(i, len(prices)):\n tmp = prices[i] - prices[i - 1]\n if tmp > 0:\n maxprofit += tmp\nreturn maxprofit",
"if len(prices) < 2:\n return 0\ndp = [[0, 0]] * len(prices)\ndp[0][0], dp[0][1] = (0, -prices[0])\nfor i in range(1, len(prices)):\n dp[i][0] = max(dp[i - 1][0... | <|body_start_0|>
maxprofit = 0
for i in range(i, len(prices)):
tmp = prices[i] - prices[i - 1]
if tmp > 0:
maxprofit += tmp
return maxprofit
<|end_body_0|>
<|body_start_1|>
if len(prices) < 2:
return 0
dp = [[0, 0]] * len(price... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit1(self, prices: List[int]) -> int:
"""贪心 股票买卖策略 单独交易日：设今天价格为p1，明天价格为p2，则今天买入，明天卖出 可赚取金额p2-p1（负值代表亏损） 连续上涨交易日：设此上涨交易日股票价格分别为p1, p2, pn，则第一 天买最后一天卖收益最大，即 pn-p1,；等价于每天都买卖，即 pn-p1 = p2-p1 + p3-p2+...+pn-pn-1 连续下降交易日：则不买卖收益最大，即不会亏钱 算法流程： 遍历整个股票交易日价格列表price，策略是所有上涨交易日都买卖... | stack_v2_sparse_classes_75kplus_train_001384 | 5,779 | no_license | [
{
"docstring": "贪心 股票买卖策略 单独交易日：设今天价格为p1，明天价格为p2，则今天买入，明天卖出 可赚取金额p2-p1（负值代表亏损） 连续上涨交易日：设此上涨交易日股票价格分别为p1, p2, pn，则第一 天买最后一天卖收益最大，即 pn-p1,；等价于每天都买卖，即 pn-p1 = p2-p1 + p3-p2+...+pn-pn-1 连续下降交易日：则不买卖收益最大，即不会亏钱 算法流程： 遍历整个股票交易日价格列表price，策略是所有上涨交易日都买卖（转到 所有的利润），所有下降交易日都不买卖（永不亏钱） 1，设tmp为第 i-1 日买入与第 i 日卖出赚取的利润， 2，当该天利润为正... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit1(self, prices: List[int]) -> int: 贪心 股票买卖策略 单独交易日：设今天价格为p1，明天价格为p2，则今天买入，明天卖出 可赚取金额p2-p1（负值代表亏损） 连续上涨交易日：设此上涨交易日股票价格分别为p1, p2, pn，则第一 天买最后一天卖收益最大，即 pn-p1,；等价于每天都买卖，... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit1(self, prices: List[int]) -> int: 贪心 股票买卖策略 单独交易日：设今天价格为p1，明天价格为p2，则今天买入，明天卖出 可赚取金额p2-p1（负值代表亏损） 连续上涨交易日：设此上涨交易日股票价格分别为p1, p2, pn，则第一 天买最后一天卖收益最大，即 pn-p1,；等价于每天都买卖，... | 51943e2c2c4ec70c7c1d5b53c9fdf0a719428d7a | <|skeleton|>
class Solution:
def maxProfit1(self, prices: List[int]) -> int:
"""贪心 股票买卖策略 单独交易日：设今天价格为p1，明天价格为p2，则今天买入，明天卖出 可赚取金额p2-p1（负值代表亏损） 连续上涨交易日：设此上涨交易日股票价格分别为p1, p2, pn，则第一 天买最后一天卖收益最大，即 pn-p1,；等价于每天都买卖，即 pn-p1 = p2-p1 + p3-p2+...+pn-pn-1 连续下降交易日：则不买卖收益最大，即不会亏钱 算法流程： 遍历整个股票交易日价格列表price，策略是所有上涨交易日都买卖... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxProfit1(self, prices: List[int]) -> int:
"""贪心 股票买卖策略 单独交易日：设今天价格为p1，明天价格为p2，则今天买入，明天卖出 可赚取金额p2-p1（负值代表亏损） 连续上涨交易日：设此上涨交易日股票价格分别为p1, p2, pn，则第一 天买最后一天卖收益最大，即 pn-p1,；等价于每天都买卖，即 pn-p1 = p2-p1 + p3-p2+...+pn-pn-1 连续下降交易日：则不买卖收益最大，即不会亏钱 算法流程： 遍历整个股票交易日价格列表price，策略是所有上涨交易日都买卖（转到 所有的利润），所有下... | the_stack_v2_python_sparse | LeetCode_practice/DynamicProgramming/0122_BestTimeToBuyAndSellStock_2.py | LeBron-Jian/BasicAlgorithmPractice | train | 13 | |
d5cdf8967413792ddac5e425bf79d23e43d52f0f | [
"self._coef_proportional = proportional\nself._coef_integral = integral\nself._coef_derivative = derivative\nself._integral_discounting = integral_discounting_per_step\nself._dt = unit_time_per_step\nself._previous_error = None\nself._error_integral = 0.0",
"error_integral = self._error_integral\nerror_integral *... | <|body_start_0|>
self._coef_proportional = proportional
self._coef_integral = integral
self._coef_derivative = derivative
self._integral_discounting = integral_discounting_per_step
self._dt = unit_time_per_step
self._previous_error = None
self._error_integral = 0.... | PidController | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PidController:
def __init__(self, unit_time_per_step, proportional=1.0, integral=0.0, derivative=0.0, integral_discounting_per_step=0.0):
"""A basic PID controller with integral discounting. :param integral_discounting_per_step: The multiplier with which to discount the control error int... | stack_v2_sparse_classes_75kplus_train_001385 | 8,781 | permissive | [
{
"docstring": "A basic PID controller with integral discounting. :param integral_discounting_per_step: The multiplier with which to discount the control error integral. Must be between 0.0 (no discounting) and 1.0 (only consider the latest error value).",
"name": "__init__",
"signature": "def __init__(... | 2 | null | Implement the Python class `PidController` described below.
Class description:
Implement the PidController class.
Method signatures and docstrings:
- def __init__(self, unit_time_per_step, proportional=1.0, integral=0.0, derivative=0.0, integral_discounting_per_step=0.0): A basic PID controller with integral discount... | Implement the Python class `PidController` described below.
Class description:
Implement the PidController class.
Method signatures and docstrings:
- def __init__(self, unit_time_per_step, proportional=1.0, integral=0.0, derivative=0.0, integral_discounting_per_step=0.0): A basic PID controller with integral discount... | f8c647819fe6abe0f3972e669d2f7d155f275d55 | <|skeleton|>
class PidController:
def __init__(self, unit_time_per_step, proportional=1.0, integral=0.0, derivative=0.0, integral_discounting_per_step=0.0):
"""A basic PID controller with integral discounting. :param integral_discounting_per_step: The multiplier with which to discount the control error int... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PidController:
def __init__(self, unit_time_per_step, proportional=1.0, integral=0.0, derivative=0.0, integral_discounting_per_step=0.0):
"""A basic PID controller with integral discounting. :param integral_discounting_per_step: The multiplier with which to discount the control error integral. Must be... | the_stack_v2_python_sparse | intervention/controller.py | ZhangCeGitHub/intervention | train | 0 | |
43ff8b0c6ee8708dc99acba83615cf2f6f125781 | [
"self.head = None\nif nodes is not None:\n node = Node(value=nodes.pop(0))\n self.head = node\n for elem in nodes:\n node.next = Node(value=elem)\n node = node.next",
"node = self.head\nnodes = []\nwhile node is not None:\n nodes.append(node.value)\n node = node.next\nnodes.append('No... | <|body_start_0|>
self.head = None
if nodes is not None:
node = Node(value=nodes.pop(0))
self.head = node
for elem in nodes:
node.next = Node(value=elem)
node = node.next
<|end_body_0|>
<|body_start_1|>
node = self.head
... | This is my Class LinkedList with methods __init__ and __insert__ | LinkedList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinkedList:
"""This is my Class LinkedList with methods __init__ and __insert__"""
def __init__(self, nodes=None):
"""This is my initialize of LinkedList"""
<|body_0|>
def __repr__(self):
"""Return an object instance"""
<|body_1|>
def __iter__(self):... | stack_v2_sparse_classes_75kplus_train_001386 | 2,355 | no_license | [
{
"docstring": "This is my initialize of LinkedList",
"name": "__init__",
"signature": "def __init__(self, nodes=None)"
},
{
"docstring": "Return an object instance",
"name": "__repr__",
"signature": "def __repr__(self)"
},
{
"docstring": "To traverse a linked list",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_035752 | Implement the Python class `LinkedList` described below.
Class description:
This is my Class LinkedList with methods __init__ and __insert__
Method signatures and docstrings:
- def __init__(self, nodes=None): This is my initialize of LinkedList
- def __repr__(self): Return an object instance
- def __iter__(self): To ... | Implement the Python class `LinkedList` described below.
Class description:
This is my Class LinkedList with methods __init__ and __insert__
Method signatures and docstrings:
- def __init__(self, nodes=None): This is my initialize of LinkedList
- def __repr__(self): Return an object instance
- def __iter__(self): To ... | a864173664324769e9de004d387f0ffde45f5cfc | <|skeleton|>
class LinkedList:
"""This is my Class LinkedList with methods __init__ and __insert__"""
def __init__(self, nodes=None):
"""This is my initialize of LinkedList"""
<|body_0|>
def __repr__(self):
"""Return an object instance"""
<|body_1|>
def __iter__(self):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LinkedList:
"""This is my Class LinkedList with methods __init__ and __insert__"""
def __init__(self, nodes=None):
"""This is my initialize of LinkedList"""
self.head = None
if nodes is not None:
node = Node(value=nodes.pop(0))
self.head = node
... | the_stack_v2_python_sparse | challenges/ll_merge/ll_merge.py | sydoruk89/python-data-structures-and-algorithms | train | 0 |
88fe0b93d6fead5379ca0b748f24e3e7ca767162 | [
"if 'pix' in string_rep:\n return u.Quantity(string_rep[:-3], u.dimensionless_unscaled)\nif 'h' in string_rep or 'rad' in string_rep:\n return Angle(string_rep)\nunit = u.deg\nif len(string_rep.split('.')) >= 3:\n string_rep = string_rep.replace('.', ':', 2)\nelif string_rep.count(':') == 2:\n unit = u.... | <|body_start_0|>
if 'pix' in string_rep:
return u.Quantity(string_rep[:-3], u.dimensionless_unscaled)
if 'h' in string_rep or 'rad' in string_rep:
return Angle(string_rep)
unit = u.deg
if len(string_rep.split('.')) >= 3:
string_rep = string_rep.replace... | Helper class to structure coordinate parser. | _CRTFCoordinateParser | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _CRTFCoordinateParser:
"""Helper class to structure coordinate parser."""
def parse_coordinate(string_rep):
"""Parse a single coordinate."""
<|body_0|>
def parse_angular_length_quantity(string_rep):
"""Parse a string into a Quantity object. Given a string that is... | stack_v2_sparse_classes_75kplus_train_001387 | 19,388 | permissive | [
{
"docstring": "Parse a single coordinate.",
"name": "parse_coordinate",
"signature": "def parse_coordinate(string_rep)"
},
{
"docstring": "Parse a string into a Quantity object. Given a string that is a number and a unit, return a Quantity of that string. An error is raised if there is no unit,... | 2 | stack_v2_sparse_classes_30k_test_001528 | Implement the Python class `_CRTFCoordinateParser` described below.
Class description:
Helper class to structure coordinate parser.
Method signatures and docstrings:
- def parse_coordinate(string_rep): Parse a single coordinate.
- def parse_angular_length_quantity(string_rep): Parse a string into a Quantity object. G... | Implement the Python class `_CRTFCoordinateParser` described below.
Class description:
Helper class to structure coordinate parser.
Method signatures and docstrings:
- def parse_coordinate(string_rep): Parse a single coordinate.
- def parse_angular_length_quantity(string_rep): Parse a string into a Quantity object. G... | 501d12d5f5879c49413e20bed90a2d3eb725d5b7 | <|skeleton|>
class _CRTFCoordinateParser:
"""Helper class to structure coordinate parser."""
def parse_coordinate(string_rep):
"""Parse a single coordinate."""
<|body_0|>
def parse_angular_length_quantity(string_rep):
"""Parse a string into a Quantity object. Given a string that is... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _CRTFCoordinateParser:
"""Helper class to structure coordinate parser."""
def parse_coordinate(string_rep):
"""Parse a single coordinate."""
if 'pix' in string_rep:
return u.Quantity(string_rep[:-3], u.dimensionless_unscaled)
if 'h' in string_rep or 'rad' in string_rep... | the_stack_v2_python_sparse | regions/io/crtf/read.py | e-koch/regions | train | 0 |
4a74295ff5aec9a00e0c0a1669020977255ba743 | [
"self.__limit = limit\nself.__function = function\nself.__timeout_exception = timeout_exception\nself.__exception_message = exception_message\nself.__name__ = function.__name__\nself.__doc__ = function.__doc__\nself.__timeout = time.time()\nself.__process = multiprocess.Process()\nself.__queue = multiprocess.Queue(... | <|body_start_0|>
self.__limit = limit
self.__function = function
self.__timeout_exception = timeout_exception
self.__exception_message = exception_message
self.__name__ = function.__name__
self.__doc__ = function.__doc__
self.__timeout = time.time()
self._... | Wrap a function and add a timeout (limit) attribute to it. Instances of this class are automatically generated by the add_timeout function defined above. Wrapping a function allows asynchronous calls to be made and termination of execution after a timeout has passed. | _Timeout | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Timeout:
"""Wrap a function and add a timeout (limit) attribute to it. Instances of this class are automatically generated by the add_timeout function defined above. Wrapping a function allows asynchronous calls to be made and termination of execution after a timeout has passed."""
def __in... | stack_v2_sparse_classes_75kplus_train_001388 | 4,510 | no_license | [
{
"docstring": "Initialize instance in preparation for being called.",
"name": "__init__",
"signature": "def __init__(self, function, timeout_exception, exception_message, limit)"
},
{
"docstring": "Execute the embedded function object asynchronously. The function given to the constructor is tra... | 5 | stack_v2_sparse_classes_30k_train_043805 | Implement the Python class `_Timeout` described below.
Class description:
Wrap a function and add a timeout (limit) attribute to it. Instances of this class are automatically generated by the add_timeout function defined above. Wrapping a function allows asynchronous calls to be made and termination of execution after... | Implement the Python class `_Timeout` described below.
Class description:
Wrap a function and add a timeout (limit) attribute to it. Instances of this class are automatically generated by the add_timeout function defined above. Wrapping a function allows asynchronous calls to be made and termination of execution after... | 7cf573adc6712dfc0d616419fff8d91339d8aa8b | <|skeleton|>
class _Timeout:
"""Wrap a function and add a timeout (limit) attribute to it. Instances of this class are automatically generated by the add_timeout function defined above. Wrapping a function allows asynchronous calls to be made and termination of execution after a timeout has passed."""
def __in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _Timeout:
"""Wrap a function and add a timeout (limit) attribute to it. Instances of this class are automatically generated by the add_timeout function defined above. Wrapping a function allows asynchronous calls to be made and termination of execution after a timeout has passed."""
def __init__(self, fu... | the_stack_v2_python_sparse | misc/bpm_cloud/ge.bpmc/ge/bpmc/utilities/timeout.py | dbenlopers/SANDBOX | train | 0 |
a3ac01b465bcaf541c7789b907369192bae807dd | [
"wm = context.window_manager\nvrs_session = session.VerseSession.instance()\nuser_item = wm.verse_users[wm.cur_verse_user_index]\nuser_id = user_item.node_id\nobj_node = vrs_session.nodes[context.active_object.verse_node_id]\nvrs_session.send_node_perm(obj_node.prio, obj_node.id, user_id, vrs.PERM_NODE_READ)\nmesh_... | <|body_start_0|>
wm = context.window_manager
vrs_session = session.VerseSession.instance()
user_item = wm.verse_users[wm.cur_verse_user_index]
user_id = user_item.node_id
obj_node = vrs_session.nodes[context.active_object.verse_node_id]
vrs_session.send_node_perm(obj_node... | This operator tries to subscribe to Blender Mesh object at Verse server. | VerseObjectOtRemWritePerm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VerseObjectOtRemWritePerm:
"""This operator tries to subscribe to Blender Mesh object at Verse server."""
def invoke(self, context, event):
"""This method will try to create new node representing Mesh Object at Verse server"""
<|body_0|>
def poll(cls, context):
"... | stack_v2_sparse_classes_75kplus_train_001389 | 18,592 | no_license | [
{
"docstring": "This method will try to create new node representing Mesh Object at Verse server",
"name": "invoke",
"signature": "def invoke(self, context, event)"
},
{
"docstring": "This class method is used, when Blender check, if this operator can be executed",
"name": "poll",
"signa... | 2 | stack_v2_sparse_classes_30k_test_002657 | Implement the Python class `VerseObjectOtRemWritePerm` described below.
Class description:
This operator tries to subscribe to Blender Mesh object at Verse server.
Method signatures and docstrings:
- def invoke(self, context, event): This method will try to create new node representing Mesh Object at Verse server
- d... | Implement the Python class `VerseObjectOtRemWritePerm` described below.
Class description:
This operator tries to subscribe to Blender Mesh object at Verse server.
Method signatures and docstrings:
- def invoke(self, context, event): This method will try to create new node representing Mesh Object at Verse server
- d... | 7b796d30dfd22b7706a93e4419ed913d18d29a44 | <|skeleton|>
class VerseObjectOtRemWritePerm:
"""This operator tries to subscribe to Blender Mesh object at Verse server."""
def invoke(self, context, event):
"""This method will try to create new node representing Mesh Object at Verse server"""
<|body_0|>
def poll(cls, context):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VerseObjectOtRemWritePerm:
"""This operator tries to subscribe to Blender Mesh object at Verse server."""
def invoke(self, context, event):
"""This method will try to create new node representing Mesh Object at Verse server"""
wm = context.window_manager
vrs_session = session.Vers... | the_stack_v2_python_sparse | All_In_One/addons/io_verse/ui_object3d.py | 2434325680/Learnbgame | train | 0 |
95c82addde9a37044f1ca314017a74cd486dea12 | [
"if len(array) == 0:\n return False\nrownum = len(array)\ncolnum = len(array[0])\ni = colnum - 1\nj = 0\nwhile i >= 0 and j < rownum:\n if array[j][i] < target:\n j += 1\n elif array[j][i] > target:\n i -= 1\n else:\n return True\nreturn False",
"if not matrix or len(matrix) == 0:... | <|body_start_0|>
if len(array) == 0:
return False
rownum = len(array)
colnum = len(array[0])
i = colnum - 1
j = 0
while i >= 0 and j < rownum:
if array[j][i] < target:
j += 1
elif array[j][i] > target:
i ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def Find(self, array, target):
"""是否存在"""
<|body_0|>
def searchMatrix(self, matrix, target):
"""输出个数"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(array) == 0:
return False
rownum = len(array)
colnum = ... | stack_v2_sparse_classes_75kplus_train_001390 | 2,335 | no_license | [
{
"docstring": "是否存在",
"name": "Find",
"signature": "def Find(self, array, target)"
},
{
"docstring": "输出个数",
"name": "searchMatrix",
"signature": "def searchMatrix(self, matrix, target)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002069 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def Find(self, array, target): 是否存在
- def searchMatrix(self, matrix, target): 输出个数 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def Find(self, array, target): 是否存在
- def searchMatrix(self, matrix, target): 输出个数
<|skeleton|>
class Solution:
def Find(self, array, target):
"""是否存在"""
<|... | ae191a449619418e3eba23f18574c7841e7ba52a | <|skeleton|>
class Solution:
def Find(self, array, target):
"""是否存在"""
<|body_0|>
def searchMatrix(self, matrix, target):
"""输出个数"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def Find(self, array, target):
"""是否存在"""
if len(array) == 0:
return False
rownum = len(array)
colnum = len(array[0])
i = colnum - 1
j = 0
while i >= 0 and j < rownum:
if array[j][i] < target:
j += 1
... | the_stack_v2_python_sparse | target_offer/two_dimensions_search.py | zealfory/dive_python | train | 0 | |
dfb6dffb0f177d15b329a7ec41cdbdf6521be772 | [
"try:\n serializer = RadiologistReportFilesSerializers(RadiologistReportFiles.objects.all(), many=True)\n return JsonResponse({'message': 'listed all', 'data': serializer.data}, status=200)\nexcept Exception as e:\n info_message = 'Internal Server Error'\n logger.error(info_message, e)\n return JsonR... | <|body_start_0|>
try:
serializer = RadiologistReportFilesSerializers(RadiologistReportFiles.objects.all(), many=True)
return JsonResponse({'message': 'listed all', 'data': serializer.data}, status=200)
except Exception as e:
info_message = 'Internal Server Error'
... | RadiologistReportFilesView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RadiologistReportFilesView:
def get(self, request):
"""Get all sellers"""
<|body_0|>
def post(self, request):
"""Save seller data"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
serializer = RadiologistReportFilesSerializers(Radiolo... | stack_v2_sparse_classes_75kplus_train_001391 | 31,833 | no_license | [
{
"docstring": "Get all sellers",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Save seller data",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021575 | Implement the Python class `RadiologistReportFilesView` described below.
Class description:
Implement the RadiologistReportFilesView class.
Method signatures and docstrings:
- def get(self, request): Get all sellers
- def post(self, request): Save seller data | Implement the Python class `RadiologistReportFilesView` described below.
Class description:
Implement the RadiologistReportFilesView class.
Method signatures and docstrings:
- def get(self, request): Get all sellers
- def post(self, request): Save seller data
<|skeleton|>
class RadiologistReportFilesView:
def g... | b63849983a592fd6a1f654191020fd86aa0787ae | <|skeleton|>
class RadiologistReportFilesView:
def get(self, request):
"""Get all sellers"""
<|body_0|>
def post(self, request):
"""Save seller data"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RadiologistReportFilesView:
def get(self, request):
"""Get all sellers"""
try:
serializer = RadiologistReportFilesSerializers(RadiologistReportFiles.objects.all(), many=True)
return JsonResponse({'message': 'listed all', 'data': serializer.data}, status=200)
exc... | the_stack_v2_python_sparse | radiologist/views.py | RupeshKurlekar/biocare | train | 1 | |
58fbd41101fb1067638c898c0f5a0402d3443e63 | [
"test_cases = [([3, 6, 9], (3, 10)), ([5], (5, 10))]\nfor test_case in test_cases:\n multiples = multiples_of_x_below_y(test_case[1][0], test_case[1][1])\n self.assertEqual(multiples, test_case[0])",
"test_case = (23, [3, 5], 10)\nsum_solution = solution(test_case[1], test_case[2])\nself.assertEqual(sum_sol... | <|body_start_0|>
test_cases = [([3, 6, 9], (3, 10)), ([5], (5, 10))]
for test_case in test_cases:
multiples = multiples_of_x_below_y(test_case[1][0], test_case[1][1])
self.assertEqual(multiples, test_case[0])
<|end_body_0|>
<|body_start_1|>
test_case = (23, [3, 5], 10)
... | Test0001 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test0001:
def test_multiples_of_x_below_y_examples(self):
"""it should get the example correct"""
<|body_0|>
def test_solution_example(self):
"""it should get the example correct"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
test_cases = [([3, 6, ... | stack_v2_sparse_classes_75kplus_train_001392 | 691 | no_license | [
{
"docstring": "it should get the example correct",
"name": "test_multiples_of_x_below_y_examples",
"signature": "def test_multiples_of_x_below_y_examples(self)"
},
{
"docstring": "it should get the example correct",
"name": "test_solution_example",
"signature": "def test_solution_exampl... | 2 | stack_v2_sparse_classes_30k_train_002241 | Implement the Python class `Test0001` described below.
Class description:
Implement the Test0001 class.
Method signatures and docstrings:
- def test_multiples_of_x_below_y_examples(self): it should get the example correct
- def test_solution_example(self): it should get the example correct | Implement the Python class `Test0001` described below.
Class description:
Implement the Test0001 class.
Method signatures and docstrings:
- def test_multiples_of_x_below_y_examples(self): it should get the example correct
- def test_solution_example(self): it should get the example correct
<|skeleton|>
class Test000... | 9687b709385a23d36bd8a24af16aaf7f375f4818 | <|skeleton|>
class Test0001:
def test_multiples_of_x_below_y_examples(self):
"""it should get the example correct"""
<|body_0|>
def test_solution_example(self):
"""it should get the example correct"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test0001:
def test_multiples_of_x_below_y_examples(self):
"""it should get the example correct"""
test_cases = [([3, 6, 9], (3, 10)), ([5], (5, 10))]
for test_case in test_cases:
multiples = multiples_of_x_below_y(test_case[1][0], test_case[1][1])
self.assertEqu... | the_stack_v2_python_sparse | problem_0001/python/test.py | mleue/project_euler | train | 0 | |
ae54c0737fa287fe1a7c27d6533ecd71c3376132 | [
"self.num_layers = num_layers\nself.threshold = threshold\nself.contact_graph = contact_graph\nself.weights = weights\nself.freq_input = freq_input\noutput_shapes = ([None, 20], [None, None]) if self.contact_graph else ([None, 20],)\noutput_types = ('float32', 'float32') if self.contact_graph else ('float32',)\nout... | <|body_start_0|>
self.num_layers = num_layers
self.threshold = threshold
self.contact_graph = contact_graph
self.weights = weights
self.freq_input = freq_input
output_shapes = ([None, 20], [None, None]) if self.contact_graph else ([None, 20],)
output_types = ('flo... | ProteinNetPy LabeledFunction returning the required data for the sequence UNET model. LabeledFunction taking a ProteinNetPy record and returning the data required to run Sequence UNET on that record. This can be used with a ProteinNetPy map to generate input data for training or predictions. The function outputs a tupl... | SequenceUNETMapFunction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SequenceUNETMapFunction:
"""ProteinNetPy LabeledFunction returning the required data for the sequence UNET model. LabeledFunction taking a ProteinNetPy record and returning the data required to run Sequence UNET on that record. This can be used with a ProteinNetPy map to generate input data for t... | stack_v2_sparse_classes_75kplus_train_001393 | 13,717 | permissive | [
{
"docstring": "Initialise the SequenceUNETMapFunction. Parameters ---------- num_layers : int Number of layers in the Sequence UNET model. threshold : float or None Return categorical output, with variants below this threshold classed as deleterious. contact_graph : bool Return a contact graph in addition to t... | 2 | stack_v2_sparse_classes_30k_train_033476 | Implement the Python class `SequenceUNETMapFunction` described below.
Class description:
ProteinNetPy LabeledFunction returning the required data for the sequence UNET model. LabeledFunction taking a ProteinNetPy record and returning the data required to run Sequence UNET on that record. This can be used with a Protei... | Implement the Python class `SequenceUNETMapFunction` described below.
Class description:
ProteinNetPy LabeledFunction returning the required data for the sequence UNET model. LabeledFunction taking a ProteinNetPy record and returning the data required to run Sequence UNET on that record. This can be used with a Protei... | cfd0a32f11c733c52c2818b697077feb991ff788 | <|skeleton|>
class SequenceUNETMapFunction:
"""ProteinNetPy LabeledFunction returning the required data for the sequence UNET model. LabeledFunction taking a ProteinNetPy record and returning the data required to run Sequence UNET on that record. This can be used with a ProteinNetPy map to generate input data for t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SequenceUNETMapFunction:
"""ProteinNetPy LabeledFunction returning the required data for the sequence UNET model. LabeledFunction taking a ProteinNetPy record and returning the data required to run Sequence UNET on that record. This can be used with a ProteinNetPy map to generate input data for training or pr... | the_stack_v2_python_sparse | sequence_unet/predict.py | allydunham/sequence_unet | train | 16 |
f603e141e239693960b3156121d59df40fbc2e97 | [
"form_errors = form.errors\nfor fields_error in form_errors.keys():\n for error in form_errors[fields_error]:\n messages.error(self.request, fields_error + ': ' + error, 'danger')",
"self.object = form.save(commit=False)\nself.object.tutor2 = tutor2\nif self.request.user.groups.filter(name='Teachers').e... | <|body_start_0|>
form_errors = form.errors
for fields_error in form_errors.keys():
for error in form_errors[fields_error]:
messages.error(self.request, fields_error + ': ' + error, 'danger')
<|end_body_0|>
<|body_start_1|>
self.object = form.save(commit=False)
... | Controlador de la vista update generica para todos los usuarios. Atributos: model(Tfms): Modelo TFG, el cual se va a editar. form_class(CreateTfgForm): formulario del Modelo TFM | UpdateTfm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateTfm:
"""Controlador de la vista update generica para todos los usuarios. Atributos: model(Tfms): Modelo TFG, el cual se va a editar. form_class(CreateTfgForm): formulario del Modelo TFM"""
def _errors_form(self, form):
"""Función encargada de checkear los errores de un formular... | stack_v2_sparse_classes_75kplus_train_001394 | 4,712 | no_license | [
{
"docstring": "Función encargada de checkear los errores de un formulario. Parametros: form(form.Modelform): formulario del que se va a checkear, si existen errores.",
"name": "_errors_form",
"signature": "def _errors_form(self, form)"
},
{
"docstring": "Función encargada de crear un TFG dado s... | 6 | stack_v2_sparse_classes_30k_train_022481 | Implement the Python class `UpdateTfm` described below.
Class description:
Controlador de la vista update generica para todos los usuarios. Atributos: model(Tfms): Modelo TFG, el cual se va a editar. form_class(CreateTfgForm): formulario del Modelo TFM
Method signatures and docstrings:
- def _errors_form(self, form):... | Implement the Python class `UpdateTfm` described below.
Class description:
Controlador de la vista update generica para todos los usuarios. Atributos: model(Tfms): Modelo TFG, el cual se va a editar. form_class(CreateTfgForm): formulario del Modelo TFM
Method signatures and docstrings:
- def _errors_form(self, form):... | c106dfab0e5698109956cbbf731c049c05b9fa53 | <|skeleton|>
class UpdateTfm:
"""Controlador de la vista update generica para todos los usuarios. Atributos: model(Tfms): Modelo TFG, el cual se va a editar. form_class(CreateTfgForm): formulario del Modelo TFM"""
def _errors_form(self, form):
"""Función encargada de checkear los errores de un formular... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateTfm:
"""Controlador de la vista update generica para todos los usuarios. Atributos: model(Tfms): Modelo TFG, el cual se va a editar. form_class(CreateTfgForm): formulario del Modelo TFM"""
def _errors_form(self, form):
"""Función encargada de checkear los errores de un formulario. Parametro... | the_stack_v2_python_sparse | tfms/utils/update_tfm.py | EmilioSanchezCatalan/project_manager | train | 0 |
7866c9fa6c4501020c6fbf1e417256b1e75eb3d1 | [
"super(RedLight, self).__init__(parent)\nself.setFixedSize(22, 22)\nself.red = QtGui.QColor(184, 18, 27)",
"painter = QtGui.QPainter()\npainter.begin(self)\npainter.setRenderHint(QtGui.QPainter.Antialiasing, True)\npainter.setPen(self.red)\npainter.setBrush(self.red)\npainter.drawEllipse(1, 1, 20, 20)\npainter.en... | <|body_start_0|>
super(RedLight, self).__init__(parent)
self.setFixedSize(22, 22)
self.red = QtGui.QColor(184, 18, 27)
<|end_body_0|>
<|body_start_1|>
painter = QtGui.QPainter()
painter.begin(self)
painter.setRenderHint(QtGui.QPainter.Antialiasing, True)
painter.... | Creates a red circle | RedLight | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RedLight:
"""Creates a red circle"""
def __init__(self, parent=None):
"""Initializes circle with fixed size and color"""
<|body_0|>
def paintEvent(self, e):
"""Draws the circle"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(RedLight, self... | stack_v2_sparse_classes_75kplus_train_001395 | 4,386 | no_license | [
{
"docstring": "Initializes circle with fixed size and color",
"name": "__init__",
"signature": "def __init__(self, parent=None)"
},
{
"docstring": "Draws the circle",
"name": "paintEvent",
"signature": "def paintEvent(self, e)"
}
] | 2 | stack_v2_sparse_classes_30k_train_038842 | Implement the Python class `RedLight` described below.
Class description:
Creates a red circle
Method signatures and docstrings:
- def __init__(self, parent=None): Initializes circle with fixed size and color
- def paintEvent(self, e): Draws the circle | Implement the Python class `RedLight` described below.
Class description:
Creates a red circle
Method signatures and docstrings:
- def __init__(self, parent=None): Initializes circle with fixed size and color
- def paintEvent(self, e): Draws the circle
<|skeleton|>
class RedLight:
"""Creates a red circle"""
... | 898bda85308f37fd19568f37fe277f93951981ec | <|skeleton|>
class RedLight:
"""Creates a red circle"""
def __init__(self, parent=None):
"""Initializes circle with fixed size and color"""
<|body_0|>
def paintEvent(self, e):
"""Draws the circle"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RedLight:
"""Creates a red circle"""
def __init__(self, parent=None):
"""Initializes circle with fixed size and color"""
super(RedLight, self).__init__(parent)
self.setFixedSize(22, 22)
self.red = QtGui.QColor(184, 18, 27)
def paintEvent(self, e):
"""Draws the... | the_stack_v2_python_sparse | gui/statuslight.py | LightingResearchCenter/PythonDaysimeter12Client | train | 0 |
d30a2106268094b00b2f65cca7c23749a3488635 | [
"logging.info('original table has %d rows' % len(table))\ntable = table.dropna(subset=[stat_col])\nlogging.info('cleaned table has %d rows' % len(table))\nreturn table",
"threshold = float(threshold)\ntry:\n if alternative == 'less':\n table = table[table[filter_column] < threshold]\n else:\n ... | <|body_start_0|>
logging.info('original table has %d rows' % len(table))
table = table.dropna(subset=[stat_col])
logging.info('cleaned table has %d rows' % len(table))
return table
<|end_body_0|>
<|body_start_1|>
threshold = float(threshold)
try:
if alternati... | This class contains static methods to clean and filter specific columns of a table | TableElaboration | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TableElaboration:
"""This class contains static methods to clean and filter specific columns of a table"""
def clean_table(table: pd.DataFrame, stat_col: str='stat') -> pd.DataFrame:
"""This function clean the table from the N/A values :param table: dataframerepresenting the table to... | stack_v2_sparse_classes_75kplus_train_001396 | 2,137 | permissive | [
{
"docstring": "This function clean the table from the N/A values :param table: dataframerepresenting the table to be cleaned :param stat_col: the column to be cleaned :return: the table cleaned from the N/A values Example _______ >>> import numpy as np >>> table = pd.DataFrame(np.random.randint(0,100,size=(100... | 2 | stack_v2_sparse_classes_30k_train_047623 | Implement the Python class `TableElaboration` described below.
Class description:
This class contains static methods to clean and filter specific columns of a table
Method signatures and docstrings:
- def clean_table(table: pd.DataFrame, stat_col: str='stat') -> pd.DataFrame: This function clean the table from the N/... | Implement the Python class `TableElaboration` described below.
Class description:
This class contains static methods to clean and filter specific columns of a table
Method signatures and docstrings:
- def clean_table(table: pd.DataFrame, stat_col: str='stat') -> pd.DataFrame: This function clean the table from the N/... | 3c172abe4b5391c5fb9a41f5fdc104ba0a3ab86b | <|skeleton|>
class TableElaboration:
"""This class contains static methods to clean and filter specific columns of a table"""
def clean_table(table: pd.DataFrame, stat_col: str='stat') -> pd.DataFrame:
"""This function clean the table from the N/A values :param table: dataframerepresenting the table to... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TableElaboration:
"""This class contains static methods to clean and filter specific columns of a table"""
def clean_table(table: pd.DataFrame, stat_col: str='stat') -> pd.DataFrame:
"""This function clean the table from the N/A values :param table: dataframerepresenting the table to be cleaned :... | the_stack_v2_python_sparse | pygna/elaborators.py | stracquadaniolab/pygna | train | 41 |
2259e2431ace6d5cb0e49a13846306c652976c4c | [
"global channel_list_page, admin_page\nchannel_list_page = ChannelListPage(self.driver)\nadmin_page = AdminPage(self.driver)\nadmin_page.into_subsystem('业务管理')\nadmin_page.select_menu('首页/渠道业务管理')",
"admin_page.select_menu('渠道列表')\nchannel_list_page.simple_query_channel(channel_name='三沙市')\nassert '三沙市' in channe... | <|body_start_0|>
global channel_list_page, admin_page
channel_list_page = ChannelListPage(self.driver)
admin_page = AdminPage(self.driver)
admin_page.into_subsystem('业务管理')
admin_page.select_menu('首页/渠道业务管理')
<|end_body_0|>
<|body_start_1|>
admin_page.select_menu('渠道列表')... | TestChannelList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestChannelList:
def set_up(self):
"""前置操作 :return:"""
<|body_0|>
def test_query_channel(self, set_up):
"""渠道查询 :return:"""
<|body_1|>
def test_reset_channel_query(self):
"""重置渠道列表查询 :return:"""
<|body_2|>
def test_click_more_channel... | stack_v2_sparse_classes_75kplus_train_001397 | 2,199 | no_license | [
{
"docstring": "前置操作 :return:",
"name": "set_up",
"signature": "def set_up(self)"
},
{
"docstring": "渠道查询 :return:",
"name": "test_query_channel",
"signature": "def test_query_channel(self, set_up)"
},
{
"docstring": "重置渠道列表查询 :return:",
"name": "test_reset_channel_query",
... | 5 | stack_v2_sparse_classes_30k_train_044211 | Implement the Python class `TestChannelList` described below.
Class description:
Implement the TestChannelList class.
Method signatures and docstrings:
- def set_up(self): 前置操作 :return:
- def test_query_channel(self, set_up): 渠道查询 :return:
- def test_reset_channel_query(self): 重置渠道列表查询 :return:
- def test_click_more_... | Implement the Python class `TestChannelList` described below.
Class description:
Implement the TestChannelList class.
Method signatures and docstrings:
- def set_up(self): 前置操作 :return:
- def test_query_channel(self, set_up): 渠道查询 :return:
- def test_reset_channel_query(self): 重置渠道列表查询 :return:
- def test_click_more_... | 86d1b085af2d3808ac8472d541f4bf26d26591e0 | <|skeleton|>
class TestChannelList:
def set_up(self):
"""前置操作 :return:"""
<|body_0|>
def test_query_channel(self, set_up):
"""渠道查询 :return:"""
<|body_1|>
def test_reset_channel_query(self):
"""重置渠道列表查询 :return:"""
<|body_2|>
def test_click_more_channel... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestChannelList:
def set_up(self):
"""前置操作 :return:"""
global channel_list_page, admin_page
channel_list_page = ChannelListPage(self.driver)
admin_page = AdminPage(self.driver)
admin_page.into_subsystem('业务管理')
admin_page.select_menu('首页/渠道业务管理')
def test_q... | the_stack_v2_python_sparse | src/cases/business_manage/channel_business_manage/test_channel_list_page_140.py | 102244653/SeleniumByPython | train | 2 | |
5c044354700c6fdd8a0353c0bcc55b2872fa286d | [
"Event.objects.create(date=self.yesterday, pub_date=self.now, headline='past')\nEvent.objects.create(date=self.tomorrow, pub_date=self.now, headline='future')\nself.assertQuerysetEqual(Event.objects.future(), ['future'], transform=lambda event: event.headline)\nself.assertQuerysetEqual(Event.objects.past(), ['past'... | <|body_start_0|>
Event.objects.create(date=self.yesterday, pub_date=self.now, headline='past')
Event.objects.create(date=self.tomorrow, pub_date=self.now, headline='future')
self.assertQuerysetEqual(Event.objects.future(), ['future'], transform=lambda event: event.headline)
self.assertQu... | EventTestCase | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventTestCase:
def test_manager_past_future(self):
"""Make sure that the Event manager's `past` and `future` methods works"""
<|body_0|>
def test_manager_past_future_include_today(self):
"""Make sure that both .future() and .past() include today's events."""
... | stack_v2_sparse_classes_75kplus_train_001398 | 5,555 | permissive | [
{
"docstring": "Make sure that the Event manager's `past` and `future` methods works",
"name": "test_manager_past_future",
"signature": "def test_manager_past_future(self)"
},
{
"docstring": "Make sure that both .future() and .past() include today's events.",
"name": "test_manager_past_futur... | 3 | null | Implement the Python class `EventTestCase` described below.
Class description:
Implement the EventTestCase class.
Method signatures and docstrings:
- def test_manager_past_future(self): Make sure that the Event manager's `past` and `future` methods works
- def test_manager_past_future_include_today(self): Make sure t... | Implement the Python class `EventTestCase` described below.
Class description:
Implement the EventTestCase class.
Method signatures and docstrings:
- def test_manager_past_future(self): Make sure that the Event manager's `past` and `future` methods works
- def test_manager_past_future_include_today(self): Make sure t... | 66a6e87290ee43b4935bc178c737c565570fbc7f | <|skeleton|>
class EventTestCase:
def test_manager_past_future(self):
"""Make sure that the Event manager's `past` and `future` methods works"""
<|body_0|>
def test_manager_past_future_include_today(self):
"""Make sure that both .future() and .past() include today's events."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EventTestCase:
def test_manager_past_future(self):
"""Make sure that the Event manager's `past` and `future` methods works"""
Event.objects.create(date=self.yesterday, pub_date=self.now, headline='past')
Event.objects.create(date=self.tomorrow, pub_date=self.now, headline='future')
... | the_stack_v2_python_sparse | blog/tests.py | django/djangoproject.com | train | 1,807 | |
48d954be427c7ff912e3dde13361562e17151266 | [
"startTime = datetime.datetime.now()\nif trial:\n endTime = datetime.datetime.now()\n return {'start': startTime, 'end': endTime}\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate(TEAM_NAME, TEAM_NAME)\nraw_html = scraper.simple_get(BALLOT_QUESTION_2000_2018_URL)\nhtml = BeautifulSoup... | <|body_start_0|>
startTime = datetime.datetime.now()
if trial:
endTime = datetime.datetime.now()
return {'start': startTime, 'end': endTime}
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate(TEAM_NAME, TEAM_NAME)
raw_html = sc... | ballotQuestions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ballotQuestions:
def execute(trial=False):
"""Scrape electionstats to get data about each MA ballot question (2000-2018) and insert into collection ex) { "_id" : "7322", "year" : 2018, "number" : "4", "description" : "SUMMARY Sections 3 to 7 of Chapter 44B of the General Laws of Massachu... | stack_v2_sparse_classes_75kplus_train_001399 | 5,791 | no_license | [
{
"docstring": "Scrape electionstats to get data about each MA ballot question (2000-2018) and insert into collection ex) { \"_id\" : \"7322\", \"year\" : 2018, \"number\" : \"4\", \"description\" : \"SUMMARY Sections 3 to 7 of Chapter 44B of the General Laws of Massachusetts, also known as the Community Preser... | 2 | stack_v2_sparse_classes_30k_train_050094 | Implement the Python class `ballotQuestions` described below.
Class description:
Implement the ballotQuestions class.
Method signatures and docstrings:
- def execute(trial=False): Scrape electionstats to get data about each MA ballot question (2000-2018) and insert into collection ex) { "_id" : "7322", "year" : 2018,... | Implement the Python class `ballotQuestions` described below.
Class description:
Implement the ballotQuestions class.
Method signatures and docstrings:
- def execute(trial=False): Scrape electionstats to get data about each MA ballot question (2000-2018) and insert into collection ex) { "_id" : "7322", "year" : 2018,... | 90284cf3debbac36eead07b8d2339cdd191b86cf | <|skeleton|>
class ballotQuestions:
def execute(trial=False):
"""Scrape electionstats to get data about each MA ballot question (2000-2018) and insert into collection ex) { "_id" : "7322", "year" : 2018, "number" : "4", "description" : "SUMMARY Sections 3 to 7 of Chapter 44B of the General Laws of Massachu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ballotQuestions:
def execute(trial=False):
"""Scrape electionstats to get data about each MA ballot question (2000-2018) and insert into collection ex) { "_id" : "7322", "year" : 2018, "number" : "4", "description" : "SUMMARY Sections 3 to 7 of Chapter 44B of the General Laws of Massachusetts, also kn... | the_stack_v2_python_sparse | ldisalvo_skeesara_vidyaap/ballotQuestions.py | maximega/course-2019-spr-proj | train | 2 |
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