blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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value | snapshot_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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
92d897d3613bf38f74ff95557c17964b76e4ba8b | [
"longest_streak = 0\nnum_set = set(nums)\nfor num in num_set:\n if num - 1 not in num_set:\n current_num = num\n current_streak = 1\n while current_num + 1 in num_set:\n current_num += 1\n current_streak += 1\n longest_streak = max(longest_streak, current_streak)... | <|body_start_0|>
longest_streak = 0
num_set = set(nums)
for num in num_set:
if num - 1 not in num_set:
current_num = num
current_streak = 1
while current_num + 1 in num_set:
current_num += 1
curre... | Sequence | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Sequence:
def find_longest_consecutive(self, nums: List[int]) -> int:
"""Approach: Hash Set and Intelligence Sequence Building Time Complexity: O(n) Space Complexity: O(n) :param nums: :return:"""
<|body_0|>
def find_longest_consecutive_(self, nums: List[int]) -> int:
... | stack_v2_sparse_classes_75kplus_train_066100 | 2,192 | no_license | [
{
"docstring": "Approach: Hash Set and Intelligence Sequence Building Time Complexity: O(n) Space Complexity: O(n) :param nums: :return:",
"name": "find_longest_consecutive",
"signature": "def find_longest_consecutive(self, nums: List[int]) -> int"
},
{
"docstring": "Approach: Sorting Time Compl... | 3 | stack_v2_sparse_classes_30k_train_044749 | Implement the Python class `Sequence` described below.
Class description:
Implement the Sequence class.
Method signatures and docstrings:
- def find_longest_consecutive(self, nums: List[int]) -> int: Approach: Hash Set and Intelligence Sequence Building Time Complexity: O(n) Space Complexity: O(n) :param nums: :retur... | Implement the Python class `Sequence` described below.
Class description:
Implement the Sequence class.
Method signatures and docstrings:
- def find_longest_consecutive(self, nums: List[int]) -> int: Approach: Hash Set and Intelligence Sequence Building Time Complexity: O(n) Space Complexity: O(n) :param nums: :retur... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Sequence:
def find_longest_consecutive(self, nums: List[int]) -> int:
"""Approach: Hash Set and Intelligence Sequence Building Time Complexity: O(n) Space Complexity: O(n) :param nums: :return:"""
<|body_0|>
def find_longest_consecutive_(self, nums: List[int]) -> int:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Sequence:
def find_longest_consecutive(self, nums: List[int]) -> int:
"""Approach: Hash Set and Intelligence Sequence Building Time Complexity: O(n) Space Complexity: O(n) :param nums: :return:"""
longest_streak = 0
num_set = set(nums)
for num in num_set:
if num - 1... | the_stack_v2_python_sparse | data_structures/longest_consecutive_sequence.py | Shiv2157k/leet_code | train | 1 | |
678c6ccb2c1ca11d88da31277e3aa1250f5bb083 | [
"CustomColors = ctypes.c_uint32 * 16\ncolors = sublime.load_settings('color_helper.palettes').get('win_picker_custom', [])\nlength = len(colors)\nif length > 16:\n colors = colors[0:16]\nif length < 16:\n delta = 16 - length\n colors.extend(['color(srgb 1 1 1)'] * delta)\nfor index, color in enumerate(colo... | <|body_start_0|>
CustomColors = ctypes.c_uint32 * 16
colors = sublime.load_settings('color_helper.palettes').get('win_picker_custom', [])
length = len(colors)
if length > 16:
colors = colors[0:16]
if length < 16:
delta = 16 - length
colors.exte... | Windows color picker. https://docs.microsoft.com/en-us/windows/win32/api/commdlg/ns-commdlg-choosecolorw-r1 | WinPick | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WinPick:
"""Windows color picker. https://docs.microsoft.com/en-us/windows/win32/api/commdlg/ns-commdlg-choosecolorw-r1"""
def get_win_pick_colors(self):
"""Get windows custom colors."""
<|body_0|>
def set_win_pick_colors(self, colors):
"""Set windows custom colo... | stack_v2_sparse_classes_75kplus_train_066101 | 5,509 | permissive | [
{
"docstring": "Get windows custom colors.",
"name": "get_win_pick_colors",
"signature": "def get_win_pick_colors(self)"
},
{
"docstring": "Set windows custom colors.",
"name": "set_win_pick_colors",
"signature": "def set_win_pick_colors(self, colors)"
},
{
"docstring": "Pick the... | 3 | null | Implement the Python class `WinPick` described below.
Class description:
Windows color picker. https://docs.microsoft.com/en-us/windows/win32/api/commdlg/ns-commdlg-choosecolorw-r1
Method signatures and docstrings:
- def get_win_pick_colors(self): Get windows custom colors.
- def set_win_pick_colors(self, colors): Se... | Implement the Python class `WinPick` described below.
Class description:
Windows color picker. https://docs.microsoft.com/en-us/windows/win32/api/commdlg/ns-commdlg-choosecolorw-r1
Method signatures and docstrings:
- def get_win_pick_colors(self): Get windows custom colors.
- def set_win_pick_colors(self, colors): Se... | ad4d779bff57a65b7c77cda0b79c10cf904eb817 | <|skeleton|>
class WinPick:
"""Windows color picker. https://docs.microsoft.com/en-us/windows/win32/api/commdlg/ns-commdlg-choosecolorw-r1"""
def get_win_pick_colors(self):
"""Get windows custom colors."""
<|body_0|>
def set_win_pick_colors(self, colors):
"""Set windows custom colo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WinPick:
"""Windows color picker. https://docs.microsoft.com/en-us/windows/win32/api/commdlg/ns-commdlg-choosecolorw-r1"""
def get_win_pick_colors(self):
"""Get windows custom colors."""
CustomColors = ctypes.c_uint32 * 16
colors = sublime.load_settings('color_helper.palettes').ge... | the_stack_v2_python_sparse | ch_native_picker.py | facelessuser/ColorHelper | train | 279 |
0b2f1764da11de4295e03c7198bdd556ab5aeedf | [
"if not s:\n return 0\nlength = len(s)\nif length == 1:\n return 1\nans = 0\nfor i in range(length):\n for j in range(i + 1, length + 1):\n substring = s[i:j]\n sub_len = len(substring)\n if len(set(substring)) == sub_len:\n ans = max([ans, sub_len])\nreturn ans",
"def che... | <|body_start_0|>
if not s:
return 0
length = len(s)
if length == 1:
return 1
ans = 0
for i in range(length):
for j in range(i + 1, length + 1):
substring = s[i:j]
sub_len = len(substring)
if len(s... | Solution | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
"""A straight forward solution costing O(n^2) time Failed: Exceed time limitation."""
<|body_0|>
def lengthOfLongestSubstring_v2(self, s: str) -> int:
"""Leverage binary-search to reduce the number of itera... | stack_v2_sparse_classes_75kplus_train_066102 | 3,108 | permissive | [
{
"docstring": "A straight forward solution costing O(n^2) time Failed: Exceed time limitation.",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s: str) -> int"
},
{
"docstring": "Leverage binary-search to reduce the number of iterations. Time: O(nlogn) Fail... | 4 | stack_v2_sparse_classes_30k_train_021108 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s: str) -> int: A straight forward solution costing O(n^2) time Failed: Exceed time limitation.
- def lengthOfLongestSubstring_v2(self, s: str)... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s: str) -> int: A straight forward solution costing O(n^2) time Failed: Exceed time limitation.
- def lengthOfLongestSubstring_v2(self, s: str)... | 226cecde136531341ce23cdf88529345be1912fc | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
"""A straight forward solution costing O(n^2) time Failed: Exceed time limitation."""
<|body_0|>
def lengthOfLongestSubstring_v2(self, s: str) -> int:
"""Leverage binary-search to reduce the number of itera... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
"""A straight forward solution costing O(n^2) time Failed: Exceed time limitation."""
if not s:
return 0
length = len(s)
if length == 1:
return 1
ans = 0
for i in range(length):... | the_stack_v2_python_sparse | Leetcode/Intermediate/Array_and_string/3_Longest_Substring_Without_Repeating_Characters.py | ZR-Huang/AlgorithmsPractices | train | 1 | |
dcabc077bea36188fecb33dd6128db2f7454d8a1 | [
"self.class_type = class_type\nself.blender_model_path = os.path.join(cfg.dataset_dir, cfg.dataset_name, '{0}/{0}.ply'.format(class_type))\nself.orig_model_path = os.path.join(cfg.dataset_dir, cfg.origin_dataset_name, '{}/mesh.ply'.format(class_type))\nself.model_aligner = ModelAligner(class_type)",
"rot, tra = (... | <|body_start_0|>
self.class_type = class_type
self.blender_model_path = os.path.join(cfg.dataset_dir, cfg.dataset_name, '{0}/{0}.ply'.format(class_type))
self.orig_model_path = os.path.join(cfg.dataset_dir, cfg.origin_dataset_name, '{}/mesh.ply'.format(class_type))
self.model_aligner = M... | PoseTransformer | PoseTransformer | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PoseTransformer:
"""PoseTransformer"""
def __init__(self, class_type):
"""__init__"""
<|body_0|>
def orig_pose_to_blender_pose(self, pose):
"""orig_pose_to_blender_pose"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.class_type = class_type... | stack_v2_sparse_classes_75kplus_train_066103 | 12,892 | permissive | [
{
"docstring": "__init__",
"name": "__init__",
"signature": "def __init__(self, class_type)"
},
{
"docstring": "orig_pose_to_blender_pose",
"name": "orig_pose_to_blender_pose",
"signature": "def orig_pose_to_blender_pose(self, pose)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018463 | Implement the Python class `PoseTransformer` described below.
Class description:
PoseTransformer
Method signatures and docstrings:
- def __init__(self, class_type): __init__
- def orig_pose_to_blender_pose(self, pose): orig_pose_to_blender_pose | Implement the Python class `PoseTransformer` described below.
Class description:
PoseTransformer
Method signatures and docstrings:
- def __init__(self, class_type): __init__
- def orig_pose_to_blender_pose(self, pose): orig_pose_to_blender_pose
<|skeleton|>
class PoseTransformer:
"""PoseTransformer"""
def _... | eab643f51336dbf7d711f02d27e6516e5affee59 | <|skeleton|>
class PoseTransformer:
"""PoseTransformer"""
def __init__(self, class_type):
"""__init__"""
<|body_0|>
def orig_pose_to_blender_pose(self, pose):
"""orig_pose_to_blender_pose"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PoseTransformer:
"""PoseTransformer"""
def __init__(self, class_type):
"""__init__"""
self.class_type = class_type
self.blender_model_path = os.path.join(cfg.dataset_dir, cfg.dataset_name, '{0}/{0}.ply'.format(class_type))
self.orig_model_path = os.path.join(cfg.dataset_di... | the_stack_v2_python_sparse | official/cv/PVNet/src/evaluation_dataset.py | mindspore-ai/models | train | 301 |
b43d9835302e46c04b1d3f306673d13d66b13da5 | [
"super().__init__(em_size=em_size, batch_size=batch_size, nb_epochs=nb_epochs, initialiser=initialiser, nb_negs=nb_negs, optimiser=optimiser, lr=lr, loss=loss, nb_ents=nb_ents, nb_rels=nb_rels, reg_wt=reg_wt, seed=seed, verbose=verbose, log_interval=log_interval)\nself.margin = margin\nself.similarity = similarity"... | <|body_start_0|>
super().__init__(em_size=em_size, batch_size=batch_size, nb_epochs=nb_epochs, initialiser=initialiser, nb_negs=nb_negs, optimiser=optimiser, lr=lr, loss=loss, nb_ents=nb_ents, nb_rels=nb_rels, reg_wt=reg_wt, seed=seed, verbose=verbose, log_interval=log_interval)
self.margin = margin
... | The Translating Embedding model (TransE) | TransE | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransE:
"""The Translating Embedding model (TransE)"""
def __init__(self, em_size=100, batch_size=128, nb_epochs=100, initialiser='xavier_uniform', nb_negs=2, margin=1.0, optimiser='amsgrad', lr=0.01, similarity='l1', nb_ents=0, nb_rels=0, reg_wt=0.01, loss='default', seed=1234, verbose=1, l... | stack_v2_sparse_classes_75kplus_train_066104 | 16,614 | permissive | [
{
"docstring": "Initialise new instance of the class TranslatingEmbeddingModel Parameters ---------- em_size: int embedding vector size batch_size: int batch size nb_epochs: int number of epoch i.e training iterations initialiser: str initialiser name e.g. xavier_uniform or he_normal nb_negs: int number of nega... | 3 | stack_v2_sparse_classes_30k_train_028265 | Implement the Python class `TransE` described below.
Class description:
The Translating Embedding model (TransE)
Method signatures and docstrings:
- def __init__(self, em_size=100, batch_size=128, nb_epochs=100, initialiser='xavier_uniform', nb_negs=2, margin=1.0, optimiser='amsgrad', lr=0.01, similarity='l1', nb_ent... | Implement the Python class `TransE` described below.
Class description:
The Translating Embedding model (TransE)
Method signatures and docstrings:
- def __init__(self, em_size=100, batch_size=128, nb_epochs=100, initialiser='xavier_uniform', nb_negs=2, margin=1.0, optimiser='amsgrad', lr=0.01, similarity='l1', nb_ent... | e1204cb78bb91ffe3126df62d2d14b20da950694 | <|skeleton|>
class TransE:
"""The Translating Embedding model (TransE)"""
def __init__(self, em_size=100, batch_size=128, nb_epochs=100, initialiser='xavier_uniform', nb_negs=2, margin=1.0, optimiser='amsgrad', lr=0.01, similarity='l1', nb_ents=0, nb_rels=0, reg_wt=0.01, loss='default', seed=1234, verbose=1, l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TransE:
"""The Translating Embedding model (TransE)"""
def __init__(self, em_size=100, batch_size=128, nb_epochs=100, initialiser='xavier_uniform', nb_negs=2, margin=1.0, optimiser='amsgrad', lr=0.01, similarity='l1', nb_ents=0, nb_rels=0, reg_wt=0.01, loss='default', seed=1234, verbose=1, log_interval=5... | the_stack_v2_python_sparse | benchmarking/libkge/libkge/embedding/models.py | hpi-sam/GNN-Effectants | train | 2 |
5e386d8279c2df5bcd22301a6047d6a37acd0cc8 | [
"Presentation.__init__(self, pere, detail, attribut, False)\nif pere and detail:\n self.construire(detail)",
"supporter = self.ajouter_choix('peut supporter', 'u', Flottant, detail, 'peut_supporter')\nsupporter.parent = self\nsupporter.prompt = 'Entrez le poids que le détail peut supporter : '\nsupporter.aide_... | <|body_start_0|>
Presentation.__init__(self, pere, detail, attribut, False)
if pere and detail:
self.construire(detail)
<|end_body_0|>
<|body_start_1|>
supporter = self.ajouter_choix('peut supporter', 'u', Flottant, detail, 'peut_supporter')
supporter.parent = self
s... | Ce contexte permet d'éditer la partie support d'un détail. | EdtSupport | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EdtSupport:
"""Ce contexte permet d'éditer la partie support d'un détail."""
def __init__(self, pere, detail=None, attribut=None):
"""Constructeur de l'éditeur"""
<|body_0|>
def construire(self, detail):
"""Construction de l'éditeur"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_066105 | 5,188 | permissive | [
{
"docstring": "Constructeur de l'éditeur",
"name": "__init__",
"signature": "def __init__(self, pere, detail=None, attribut=None)"
},
{
"docstring": "Construction de l'éditeur",
"name": "construire",
"signature": "def construire(self, detail)"
}
] | 2 | stack_v2_sparse_classes_30k_train_030352 | Implement the Python class `EdtSupport` described below.
Class description:
Ce contexte permet d'éditer la partie support d'un détail.
Method signatures and docstrings:
- def __init__(self, pere, detail=None, attribut=None): Constructeur de l'éditeur
- def construire(self, detail): Construction de l'éditeur | Implement the Python class `EdtSupport` described below.
Class description:
Ce contexte permet d'éditer la partie support d'un détail.
Method signatures and docstrings:
- def __init__(self, pere, detail=None, attribut=None): Constructeur de l'éditeur
- def construire(self, detail): Construction de l'éditeur
<|skelet... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class EdtSupport:
"""Ce contexte permet d'éditer la partie support d'un détail."""
def __init__(self, pere, detail=None, attribut=None):
"""Constructeur de l'éditeur"""
<|body_0|>
def construire(self, detail):
"""Construction de l'éditeur"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EdtSupport:
"""Ce contexte permet d'éditer la partie support d'un détail."""
def __init__(self, pere, detail=None, attribut=None):
"""Constructeur de l'éditeur"""
Presentation.__init__(self, pere, detail, attribut, False)
if pere and detail:
self.construire(detail)
... | the_stack_v2_python_sparse | src/primaires/salle/editeurs/redit/edt_support.py | vincent-lg/tsunami | train | 5 |
79c756691ca4186debb8c1de5da3f520db87cfc7 | [
"blog = get_object_or_404(BlogEntry, slug=kwargs.get('slug', None))\nself.template_name = blog.template.path\nself.entry = blog\nreturn super(BlogDetailView, self).get(request, *args, **kwargs)",
"context = super(BlogDetailView, self).get_context_data(**kwargs)\ntag_lines = [('Create simple, human-like, conversat... | <|body_start_0|>
blog = get_object_or_404(BlogEntry, slug=kwargs.get('slug', None))
self.template_name = blog.template.path
self.entry = blog
return super(BlogDetailView, self).get(request, *args, **kwargs)
<|end_body_0|>
<|body_start_1|>
context = super(BlogDetailView, self).ge... | Our view to set the template path prior to a regular get request. | BlogDetailView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlogDetailView:
"""Our view to set the template path prior to a regular get request."""
def get(self, request, *args, **kwargs):
"""Here we base our render on the selected template/blog entry."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Set the blog en... | stack_v2_sparse_classes_75kplus_train_066106 | 3,135 | no_license | [
{
"docstring": "Here we base our render on the selected template/blog entry.",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Set the blog entry context.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012227 | Implement the Python class `BlogDetailView` described below.
Class description:
Our view to set the template path prior to a regular get request.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Here we base our render on the selected template/blog entry.
- def get_context_data(self, **kwa... | Implement the Python class `BlogDetailView` described below.
Class description:
Our view to set the template path prior to a regular get request.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Here we base our render on the selected template/blog entry.
- def get_context_data(self, **kwa... | 4cd52c07bb64e9d9381a957323d277489a02181a | <|skeleton|>
class BlogDetailView:
"""Our view to set the template path prior to a regular get request."""
def get(self, request, *args, **kwargs):
"""Here we base our render on the selected template/blog entry."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Set the blog en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BlogDetailView:
"""Our view to set the template path prior to a regular get request."""
def get(self, request, *args, **kwargs):
"""Here we base our render on the selected template/blog entry."""
blog = get_object_or_404(BlogEntry, slug=kwargs.get('slug', None))
self.template_name... | the_stack_v2_python_sparse | cms/blog/views.py | webmaxdev0110/digi-django | train | 0 |
672bc0b431ad911a6ddb79efe399be5b5d10e4c2 | [
"self.__logger_handler = logger_handler\nself.__retry_times = retry_times\nself.__request_timeout = request_timeout\nself.__base_headers = base_headers\nself.__request_session = requests.Session()\nself.__request_session.mount('http://', HTTPAdapter(max_retries=self.__retry_times))\nself.__request_session.mount('ht... | <|body_start_0|>
self.__logger_handler = logger_handler
self.__retry_times = retry_times
self.__request_timeout = request_timeout
self.__base_headers = base_headers
self.__request_session = requests.Session()
self.__request_session.mount('http://', HTTPAdapter(max_retries... | 对requests的二次封装，格式化response解析，重试机制 | BaseClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseClient:
"""对requests的二次封装，格式化response解析，重试机制"""
def __init__(self, logger_handler=_logger, retry_times=3, request_timeout=10, base_headers=None):
""":param logger_handler: 若需要将请求接口的错误日志与其他日志一起收集，请传递公用的logger :param retry_times: :param request_timeout: :param base_headers:"""
... | stack_v2_sparse_classes_75kplus_train_066107 | 3,264 | no_license | [
{
"docstring": ":param logger_handler: 若需要将请求接口的错误日志与其他日志一起收集，请传递公用的logger :param retry_times: :param request_timeout: :param base_headers:",
"name": "__init__",
"signature": "def __init__(self, logger_handler=_logger, retry_times=3, request_timeout=10, base_headers=None)"
},
{
"docstring": ":pa... | 3 | null | Implement the Python class `BaseClient` described below.
Class description:
对requests的二次封装，格式化response解析，重试机制
Method signatures and docstrings:
- def __init__(self, logger_handler=_logger, retry_times=3, request_timeout=10, base_headers=None): :param logger_handler: 若需要将请求接口的错误日志与其他日志一起收集，请传递公用的logger :param retry_ti... | Implement the Python class `BaseClient` described below.
Class description:
对requests的二次封装，格式化response解析，重试机制
Method signatures and docstrings:
- def __init__(self, logger_handler=_logger, retry_times=3, request_timeout=10, base_headers=None): :param logger_handler: 若需要将请求接口的错误日志与其他日志一起收集，请传递公用的logger :param retry_ti... | 499c6e38287474e47b9038040f7598e65fde5c03 | <|skeleton|>
class BaseClient:
"""对requests的二次封装，格式化response解析，重试机制"""
def __init__(self, logger_handler=_logger, retry_times=3, request_timeout=10, base_headers=None):
""":param logger_handler: 若需要将请求接口的错误日志与其他日志一起收集，请传递公用的logger :param retry_times: :param request_timeout: :param base_headers:"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseClient:
"""对requests的二次封装，格式化response解析，重试机制"""
def __init__(self, logger_handler=_logger, retry_times=3, request_timeout=10, base_headers=None):
""":param logger_handler: 若需要将请求接口的错误日志与其他日志一起收集，请传递公用的logger :param retry_times: :param request_timeout: :param base_headers:"""
self.__lo... | the_stack_v2_python_sparse | utils4py/request_client/client.py | hbyhl/utils4py | train | 0 |
88191b9953d4386e656aa8f67f751cd75d38ae13 | [
"result = []\nif root is not None:\n vec = []\n for child in root.children:\n vec.extend(self.postorder(child))\n result.extend(vec)\n result.append(root.val)\nreturn result",
"stack, result = ([root], [])\nwhile len(stack) != 0 and root is not None:\n n = stack.pop()\n result.insert(0, n... | <|body_start_0|>
result = []
if root is not None:
vec = []
for child in root.children:
vec.extend(self.postorder(child))
result.extend(vec)
result.append(root.val)
return result
<|end_body_0|>
<|body_start_1|>
stack, result... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def postorder2(self, root):
""":type root: Node :rtype: List[int]"""
<|body_0|>
def postorder(self, root):
""":type root: Node :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
result = []
if root is not None:
... | stack_v2_sparse_classes_75kplus_train_066108 | 844 | no_license | [
{
"docstring": ":type root: Node :rtype: List[int]",
"name": "postorder2",
"signature": "def postorder2(self, root)"
},
{
"docstring": ":type root: Node :rtype: List[int]",
"name": "postorder",
"signature": "def postorder(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_test_002894 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def postorder2(self, root): :type root: Node :rtype: List[int]
- def postorder(self, root): :type root: Node :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def postorder2(self, root): :type root: Node :rtype: List[int]
- def postorder(self, root): :type root: Node :rtype: List[int]
<|skeleton|>
class Solution:
def postorder2(s... | 77ee7186a918cf865a038d9da5ae71e0aa6b64dc | <|skeleton|>
class Solution:
def postorder2(self, root):
""":type root: Node :rtype: List[int]"""
<|body_0|>
def postorder(self, root):
""":type root: Node :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def postorder2(self, root):
""":type root: Node :rtype: List[int]"""
result = []
if root is not None:
vec = []
for child in root.children:
vec.extend(self.postorder(child))
result.extend(vec)
result.append(root.v... | the_stack_v2_python_sparse | 776-n-ary-tree-postorder-traversal/solution.py | GoingMyWay/LeetCode | train | 2 | |
67419ae39c4c1d55eaadac51c32a11a4373a431c | [
"logger.info(status)\nimporter_status = ImporterStatuses.find_by_name(status.name)\nif importer_status:\n if status.state == 'success':\n importer_status.state = 'success'\n else:\n importer_status.state = 'failure'\n importer_status.reason = status.reason\n importer_status.trace =... | <|body_start_0|>
logger.info(status)
importer_status = ImporterStatuses.find_by_name(status.name)
if importer_status:
if status.state == 'success':
importer_status.state = 'success'
else:
importer_status.state = 'failure'
im... | API endpoint, rerun an importer that has failed. | ImportRetry | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImportRetry:
"""API endpoint, rerun an importer that has failed."""
def status_has_changed(self, status: ImporterStatus):
"""Receive the status of an importer and persist it to the Importer Status table :param status: Status object defining the state of an importer"""
<|body_... | stack_v2_sparse_classes_75kplus_train_066109 | 2,670 | permissive | [
{
"docstring": "Receive the status of an importer and persist it to the Importer Status table :param status: Status object defining the state of an importer",
"name": "status_has_changed",
"signature": "def status_has_changed(self, status: ImporterStatus)"
},
{
"docstring": "POST request, allow ... | 3 | stack_v2_sparse_classes_30k_train_019862 | Implement the Python class `ImportRetry` described below.
Class description:
API endpoint, rerun an importer that has failed.
Method signatures and docstrings:
- def status_has_changed(self, status: ImporterStatus): Receive the status of an importer and persist it to the Importer Status table :param status: Status ob... | Implement the Python class `ImportRetry` described below.
Class description:
API endpoint, rerun an importer that has failed.
Method signatures and docstrings:
- def status_has_changed(self, status: ImporterStatus): Receive the status of an importer and persist it to the Importer Status table :param status: Status ob... | 5d123691d1f25d0b85e20e4e8293266bf23c9f8a | <|skeleton|>
class ImportRetry:
"""API endpoint, rerun an importer that has failed."""
def status_has_changed(self, status: ImporterStatus):
"""Receive the status of an importer and persist it to the Importer Status table :param status: Status object defining the state of an importer"""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImportRetry:
"""API endpoint, rerun an importer that has failed."""
def status_has_changed(self, status: ImporterStatus):
"""Receive the status of an importer and persist it to the Importer Status table :param status: Status object defining the state of an importer"""
logger.info(status)
... | the_stack_v2_python_sparse | Analytics/resources/import_retry.py | thanosbnt/SharingCitiesDashboard | train | 0 |
47c7c77377fd280e09521a28e89968dd05f3778f | [
"self.width = width\nself.height = height\nself.food = deque(food)\nself.next_food = []\nif self.food:\n self.next_food = self.food.popleft()\nself.curr_pos = [0, 0]\nself.body = deque()\nself.body.append([0, 0])\nself.foods = 0",
"move_dict = {'U': [-1, 0], 'L': [0, -1], 'R': [0, 1], 'D': [1, 0]}\nnext_pos = ... | <|body_start_0|>
self.width = width
self.height = height
self.food = deque(food)
self.next_food = []
if self.food:
self.next_food = self.food.popleft()
self.curr_pos = [0, 0]
self.body = deque()
self.body.append([0, 0])
self.foods = 0
<... | SnakeGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnakeGame:
def __init__(self, width: int, height: int, food: List[List[int]]):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], t... | stack_v2_sparse_classes_75kplus_train_066110 | 1,963 | no_license | [
{
"docstring": "Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0].",
"name": "__init__",
"signature": "def __init__(self, widt... | 2 | stack_v2_sparse_classes_30k_train_021131 | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width: int, height: int, food: List[List[int]]): Initialize your data structure here. @param width - screen width @param height - screen height @param food -... | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width: int, height: int, food: List[List[int]]): Initialize your data structure here. @param width - screen width @param height - screen height @param food -... | 31bbbd996d0a9783dc7d516b9af8c0e76792befa | <|skeleton|>
class SnakeGame:
def __init__(self, width: int, height: int, food: List[List[int]]):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SnakeGame:
def __init__(self, width: int, height: int, food: List[List[int]]):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is a... | the_stack_v2_python_sparse | design/0353_design_snake_game.py | helenayyan/leetcode | train | 0 | |
a1db9b99510be44f4495f8f426fcbc85a8fadc61 | [
"self._head = Node(None, None, None)\nself._head.prev_node = self._head.next_node = self._head\nAbstractList.__init__(self, sourceCollection)",
"cursor = self._head.next_node\nwhile cursor != self._head:\n yield cursor.value\n cursor = cursor.next_node",
"if key == len(self):\n return self._head\nelif ... | <|body_start_0|>
self._head = Node(None, None, None)
self._head.prev_node = self._head.next_node = self._head
AbstractList.__init__(self, sourceCollection)
<|end_body_0|>
<|body_start_1|>
cursor = self._head.next_node
while cursor != self._head:
yield cursor.value
... | A link-based list implementation. | LinkedList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinkedList:
"""A link-based list implementation."""
def __init__(self, sourceCollection=None):
"""Set the initial state of self, which includes the contents of sourceCollection, if it's present."""
<|body_0|>
def __iter__(self):
"""Supports iteration over a view ... | stack_v2_sparse_classes_75kplus_train_066111 | 2,887 | no_license | [
{
"docstring": "Set the initial state of self, which includes the contents of sourceCollection, if it's present.",
"name": "__init__",
"signature": "def __init__(self, sourceCollection=None)"
},
{
"docstring": "Supports iteration over a view of self.",
"name": "__iter__",
"signature": "d... | 6 | stack_v2_sparse_classes_30k_train_038026 | Implement the Python class `LinkedList` described below.
Class description:
A link-based list implementation.
Method signatures and docstrings:
- def __init__(self, sourceCollection=None): Set the initial state of self, which includes the contents of sourceCollection, if it's present.
- def __iter__(self): Supports i... | Implement the Python class `LinkedList` described below.
Class description:
A link-based list implementation.
Method signatures and docstrings:
- def __init__(self, sourceCollection=None): Set the initial state of self, which includes the contents of sourceCollection, if it's present.
- def __iter__(self): Supports i... | 00ef549389241bdcab29aaba5b9c7c4895d8975c | <|skeleton|>
class LinkedList:
"""A link-based list implementation."""
def __init__(self, sourceCollection=None):
"""Set the initial state of self, which includes the contents of sourceCollection, if it's present."""
<|body_0|>
def __iter__(self):
"""Supports iteration over a view ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LinkedList:
"""A link-based list implementation."""
def __init__(self, sourceCollection=None):
"""Set the initial state of self, which includes the contents of sourceCollection, if it's present."""
self._head = Node(None, None, None)
self._head.prev_node = self._head.next_node = s... | the_stack_v2_python_sparse | Chapter9_Lists/linkedlist.py | caoxiang104/DataStructuresOfPython | train | 4 |
a096c0ee3a624af25f5592acad3c1d77e8f2c2b9 | [
"mes = ''\ntry:\n url = 'https://api.nytimes.com/svc/books/v3/lists/current/hardcover-fiction.json'\n res = requests.get(url, {'api-key': BS_BOOK_KEY})\n allList = json.loads(res.text)\n books = allList['results']['books']\n if len(books) == 0:\n return ''\n book = random.choice(list(books)... | <|body_start_0|>
mes = ''
try:
url = 'https://api.nytimes.com/svc/books/v3/lists/current/hardcover-fiction.json'
res = requests.get(url, {'api-key': BS_BOOK_KEY})
allList = json.loads(res.text)
books = allList['results']['books']
if len(books) ... | In this class, delete user endpoint is implemented | DeleteUser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeleteUser:
"""In this class, delete user endpoint is implemented"""
def bestsellers():
"""returns a message including a book recommendation in the format "NAME OF THE BOOK " by "AUTHOR". "DESCRIPTION". This function returns a message including a book recomendation taken by NYT bests... | stack_v2_sparse_classes_75kplus_train_066112 | 4,470 | no_license | [
{
"docstring": "returns a message including a book recommendation in the format \"NAME OF THE BOOK \" by \"AUTHOR\". \"DESCRIPTION\". This function returns a message including a book recomendation taken by NYT bestseller list.",
"name": "bestsellers",
"signature": "def bestsellers()"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_train_004903 | Implement the Python class `DeleteUser` described below.
Class description:
In this class, delete user endpoint is implemented
Method signatures and docstrings:
- def bestsellers(): returns a message including a book recommendation in the format "NAME OF THE BOOK " by "AUTHOR". "DESCRIPTION". This function returns a ... | Implement the Python class `DeleteUser` described below.
Class description:
In this class, delete user endpoint is implemented
Method signatures and docstrings:
- def bestsellers(): returns a message including a book recommendation in the format "NAME OF THE BOOK " by "AUTHOR". "DESCRIPTION". This function returns a ... | f7aebee17a0a79e8d3c2927733bce8015b4a9da3 | <|skeleton|>
class DeleteUser:
"""In this class, delete user endpoint is implemented"""
def bestsellers():
"""returns a message including a book recommendation in the format "NAME OF THE BOOK " by "AUTHOR". "DESCRIPTION". This function returns a message including a book recomendation taken by NYT bests... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeleteUser:
"""In this class, delete user endpoint is implemented"""
def bestsellers():
"""returns a message including a book recommendation in the format "NAME OF THE BOOK " by "AUTHOR". "DESCRIPTION". This function returns a message including a book recomendation taken by NYT bestseller list.""... | the_stack_v2_python_sparse | practice-app/platon_api/rest_api/delete_user_t/delete_user_f.py | bounswe/bounswe2020group7 | train | 18 |
51f610034378c05817e8fd87d729d1a483cf1c99 | [
"result_particles = []\nnd_timestamp, non_data, non_start, non_end = self._chunker.get_next_non_data_with_index(clean=False)\ntimestamp, chunk, start, end = self._chunker.get_next_data_with_index()\nself.handle_non_data(non_data, non_end, start)\nwhile chunk is not None:\n header_match = SIO_HEADER_MATCHER.match... | <|body_start_0|>
result_particles = []
nd_timestamp, non_data, non_start, non_end = self._chunker.get_next_non_data_with_index(clean=False)
timestamp, chunk, start, end = self._chunker.get_next_data_with_index()
self.handle_non_data(non_data, non_end, start)
while chunk is not No... | Parser for Ctdmo telemetered data (SIO Mule). This parser handles both CT and CO data from the SIO Mule. | CtdmoGhqrSioTelemeteredParser | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CtdmoGhqrSioTelemeteredParser:
"""Parser for Ctdmo telemetered data (SIO Mule). This parser handles both CT and CO data from the SIO Mule."""
def parse_chunks(self):
"""Parse chunks for the Telemetered parser. Parse out any pending data chunks in the chunker. If it is a valid data pi... | stack_v2_sparse_classes_75kplus_train_066113 | 33,252 | permissive | [
{
"docstring": "Parse chunks for the Telemetered parser. Parse out any pending data chunks in the chunker. If it is a valid data piece, build a particle. Go until the chunker has no more valid data. @retval a list of tuples with sample particles encountered in this parsing, plus the state. An empty list of noth... | 3 | null | Implement the Python class `CtdmoGhqrSioTelemeteredParser` described below.
Class description:
Parser for Ctdmo telemetered data (SIO Mule). This parser handles both CT and CO data from the SIO Mule.
Method signatures and docstrings:
- def parse_chunks(self): Parse chunks for the Telemetered parser. Parse out any pen... | Implement the Python class `CtdmoGhqrSioTelemeteredParser` described below.
Class description:
Parser for Ctdmo telemetered data (SIO Mule). This parser handles both CT and CO data from the SIO Mule.
Method signatures and docstrings:
- def parse_chunks(self): Parse chunks for the Telemetered parser. Parse out any pen... | bdbf01f5614e7188ce19596704794466e5683b30 | <|skeleton|>
class CtdmoGhqrSioTelemeteredParser:
"""Parser for Ctdmo telemetered data (SIO Mule). This parser handles both CT and CO data from the SIO Mule."""
def parse_chunks(self):
"""Parse chunks for the Telemetered parser. Parse out any pending data chunks in the chunker. If it is a valid data pi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CtdmoGhqrSioTelemeteredParser:
"""Parser for Ctdmo telemetered data (SIO Mule). This parser handles both CT and CO data from the SIO Mule."""
def parse_chunks(self):
"""Parse chunks for the Telemetered parser. Parse out any pending data chunks in the chunker. If it is a valid data piece, build a ... | the_stack_v2_python_sparse | mi/dataset/parser/ctdmo_ghqr_sio.py | oceanobservatories/mi-instrument | train | 1 |
e248b9673dcc2d9f7fe63e193a56a10bd3b9fb09 | [
"if not os.access(filepath, os.R_OK):\n raise IOError('Could not read/access zeek log file: {:s}'.format(filepath))\nself._filepath = filepath\nself._delimiter = delimiter\nself._tail = tail\nself._strict = strict\nself.field_names = []\nself.field_types = []\nself.type_converters = []\nself.type_mapper = {'bool... | <|body_start_0|>
if not os.access(filepath, os.R_OK):
raise IOError('Could not read/access zeek log file: {:s}'.format(filepath))
self._filepath = filepath
self._delimiter = delimiter
self._tail = tail
self._strict = strict
self.field_names = []
self.f... | ZeekLogReader: This class reads in various Zeek logs. The class inherits from the FileTailer class so it supports the following use cases: - Read contents of a Zeek log file (tail=False) - Read contents + 'tail -f' Zeek log file (tail=True) Args: filepath (str): The full path the file (/full/path/to/the/file.txt) delim... | ZeekLogReader | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZeekLogReader:
"""ZeekLogReader: This class reads in various Zeek logs. The class inherits from the FileTailer class so it supports the following use cases: - Read contents of a Zeek log file (tail=False) - Read contents + 'tail -f' Zeek log file (tail=True) Args: filepath (str): The full path th... | stack_v2_sparse_classes_75kplus_train_066114 | 9,090 | permissive | [
{
"docstring": "Initialization for the ZeekLogReader Class",
"name": "__init__",
"signature": "def __init__(self, filepath, delimiter='\\t', tail=False, strict=False)"
},
{
"docstring": "The readrows method reads in the header of the Zeek log and then uses the parent class to yield each row of t... | 5 | stack_v2_sparse_classes_30k_train_050084 | Implement the Python class `ZeekLogReader` described below.
Class description:
ZeekLogReader: This class reads in various Zeek logs. The class inherits from the FileTailer class so it supports the following use cases: - Read contents of a Zeek log file (tail=False) - Read contents + 'tail -f' Zeek log file (tail=True)... | Implement the Python class `ZeekLogReader` described below.
Class description:
ZeekLogReader: This class reads in various Zeek logs. The class inherits from the FileTailer class so it supports the following use cases: - Read contents of a Zeek log file (tail=False) - Read contents + 'tail -f' Zeek log file (tail=True)... | 1d83a44a4d171b1f99a48b6706da4f495c9f63f9 | <|skeleton|>
class ZeekLogReader:
"""ZeekLogReader: This class reads in various Zeek logs. The class inherits from the FileTailer class so it supports the following use cases: - Read contents of a Zeek log file (tail=False) - Read contents + 'tail -f' Zeek log file (tail=True) Args: filepath (str): The full path th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZeekLogReader:
"""ZeekLogReader: This class reads in various Zeek logs. The class inherits from the FileTailer class so it supports the following use cases: - Read contents of a Zeek log file (tail=False) - Read contents + 'tail -f' Zeek log file (tail=True) Args: filepath (str): The full path the file (/full... | the_stack_v2_python_sparse | zat/zeek_log_reader.py | SuperCowPowers/zat | train | 191 |
dd177adcf8af24319a485c21aadfeefacdc4f91d | [
"cr_line_obj = self.env['credit.control.line']\ncr_lines = cr_line_obj.search([('id', 'in', line_ids), ('partner_id', '=', partner_id), ('policy_level_id', '=', level_id), ('currency_id', '=', currency_id), ('operating_unit_id', '=', operating_unit_id)])\nreturn cr_lines",
"comms = self.browse()\nif not lines:\n ... | <|body_start_0|>
cr_line_obj = self.env['credit.control.line']
cr_lines = cr_line_obj.search([('id', 'in', line_ids), ('partner_id', '=', partner_id), ('policy_level_id', '=', level_id), ('currency_id', '=', currency_id), ('operating_unit_id', '=', operating_unit_id)])
return cr_lines
<|end_body... | CreditCommunication | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreditCommunication:
def _get_credit_lines(self, line_ids, partner_id, level_id, currency_id, operating_unit_id):
"""Return credit lines related to a partner and a policy level"""
<|body_0|>
def _generate_comm_from_credit_lines(self, lines):
"""Aggregate credit contr... | stack_v2_sparse_classes_75kplus_train_066115 | 3,117 | no_license | [
{
"docstring": "Return credit lines related to a partner and a policy level",
"name": "_get_credit_lines",
"signature": "def _get_credit_lines(self, line_ids, partner_id, level_id, currency_id, operating_unit_id)"
},
{
"docstring": "Aggregate credit control line by partner, level, and currency I... | 2 | stack_v2_sparse_classes_30k_train_003104 | Implement the Python class `CreditCommunication` described below.
Class description:
Implement the CreditCommunication class.
Method signatures and docstrings:
- def _get_credit_lines(self, line_ids, partner_id, level_id, currency_id, operating_unit_id): Return credit lines related to a partner and a policy level
- d... | Implement the Python class `CreditCommunication` described below.
Class description:
Implement the CreditCommunication class.
Method signatures and docstrings:
- def _get_credit_lines(self, line_ids, partner_id, level_id, currency_id, operating_unit_id): Return credit lines related to a partner and a policy level
- d... | d2db7afb71d0459d3f453f14f0e44275b480c491 | <|skeleton|>
class CreditCommunication:
def _get_credit_lines(self, line_ids, partner_id, level_id, currency_id, operating_unit_id):
"""Return credit lines related to a partner and a policy level"""
<|body_0|>
def _generate_comm_from_credit_lines(self, lines):
"""Aggregate credit contr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CreditCommunication:
def _get_credit_lines(self, line_ids, partner_id, level_id, currency_id, operating_unit_id):
"""Return credit lines related to a partner and a policy level"""
cr_line_obj = self.env['credit.control.line']
cr_lines = cr_line_obj.search([('id', 'in', line_ids), ('par... | the_stack_v2_python_sparse | bdu_account/wizard/credit_control_communication.py | kumarinie/bdu-addons | train | 0 | |
cf0f1df8f532da2aefa06001d44d225cb74eaf3a | [
"region_spec = concepts.ResourceSpec('cloudbuild.projects.locations', resource_name='region', projectsId=concepts.DEFAULT_PROJECT_ATTRIBUTE_CONFIG, locationsId=resource_args.RegionAttributeConfig())\nconcept_parsers.ConceptParser.ForResource('--region', region_spec, 'Cloud region', required=True).AddToParser(parser... | <|body_start_0|>
region_spec = concepts.ResourceSpec('cloudbuild.projects.locations', resource_name='region', projectsId=concepts.DEFAULT_PROJECT_ATTRIBUTE_CONFIG, locationsId=resource_args.RegionAttributeConfig())
concept_parsers.ConceptParser.ForResource('--region', region_spec, 'Cloud region', requir... | Create a build trigger for a GCB v2 repository. | CreateRepository | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateRepository:
"""Create a build trigger for a GCB v2 repository."""
def Args(parser):
"""Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser."""
<|... | stack_v2_sparse_classes_75kplus_train_066116 | 7,136 | permissive | [
{
"docstring": "Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring": "Parses command line arguments int... | 3 | stack_v2_sparse_classes_30k_train_019685 | Implement the Python class `CreateRepository` described below.
Class description:
Create a build trigger for a GCB v2 repository.
Method signatures and docstrings:
- def Args(parser): Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some infor... | Implement the Python class `CreateRepository` described below.
Class description:
Create a build trigger for a GCB v2 repository.
Method signatures and docstrings:
- def Args(parser): Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some infor... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class CreateRepository:
"""Create a build trigger for a GCB v2 repository."""
def Args(parser):
"""Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser."""
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CreateRepository:
"""Create a build trigger for a GCB v2 repository."""
def Args(parser):
"""Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser."""
region_spec = c... | the_stack_v2_python_sparse | lib/surface/builds/triggers/create/repository.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
9ecf7215d0d47f2e0981678d11e942073af5549a | [
"self.reqparser = reqparse.RequestParser()\nself.reqparser.add_argument('alert_id', required=True, type=int, help='Alert Id missing', location=['form', 'json'])\nself.reqparser.add_argument('widget_id', required=False, type=int, store_missing=False, location=['form', 'json'])\nself.reqparser.add_argument('activated... | <|body_start_0|>
self.reqparser = reqparse.RequestParser()
self.reqparser.add_argument('alert_id', required=True, type=int, help='Alert Id missing', location=['form', 'json'])
self.reqparser.add_argument('widget_id', required=False, type=int, store_missing=False, location=['form', 'json'])
... | Update an existing alert. | UpdateAlert | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateAlert:
"""Update an existing alert."""
def __init__(self) -> None:
"""Instantiate reparse for POST request."""
<|body_0|>
def post(self) -> (dict, HTTPStatus):
"""Update an alert. :return: On success return the updated alert and an HTTP status code 200(OK),... | stack_v2_sparse_classes_75kplus_train_066117 | 2,703 | permissive | [
{
"docstring": "Instantiate reparse for POST request.",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Update an alert. :return: On success return the updated alert and an HTTP status code 200(OK), Otherwise return an error with the appropriate HTTP status code"... | 2 | null | Implement the Python class `UpdateAlert` described below.
Class description:
Update an existing alert.
Method signatures and docstrings:
- def __init__(self) -> None: Instantiate reparse for POST request.
- def post(self) -> (dict, HTTPStatus): Update an alert. :return: On success return the updated alert and an HTTP... | Implement the Python class `UpdateAlert` described below.
Class description:
Update an existing alert.
Method signatures and docstrings:
- def __init__(self) -> None: Instantiate reparse for POST request.
- def post(self) -> (dict, HTTPStatus): Update an alert. :return: On success return the updated alert and an HTTP... | 5d123691d1f25d0b85e20e4e8293266bf23c9f8a | <|skeleton|>
class UpdateAlert:
"""Update an existing alert."""
def __init__(self) -> None:
"""Instantiate reparse for POST request."""
<|body_0|>
def post(self) -> (dict, HTTPStatus):
"""Update an alert. :return: On success return the updated alert and an HTTP status code 200(OK),... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateAlert:
"""Update an existing alert."""
def __init__(self) -> None:
"""Instantiate reparse for POST request."""
self.reqparser = reqparse.RequestParser()
self.reqparser.add_argument('alert_id', required=True, type=int, help='Alert Id missing', location=['form', 'json'])
... | the_stack_v2_python_sparse | Analytics/resources/alerts/update_alert.py | thanosbnt/SharingCitiesDashboard | train | 0 |
929f8c20ce54e89463fe1c564862a947b098f474 | [
"self.options = dict()\nfor option in options.split():\n key, value = key_value(option)\n self.options[key] = value\napp_env_key = 'udp_' + pathlib.Path(sys.argv[0]).stem\napp_env_value = os.getenv(app_env_key, '')\nfor option in app_env_value.split():\n key, value = key_value(option)\n self.options[key... | <|body_start_0|>
self.options = dict()
for option in options.split():
key, value = key_value(option)
self.options[key] = value
app_env_key = 'udp_' + pathlib.Path(sys.argv[0]).stem
app_env_value = os.getenv(app_env_key, '')
for option in app_env_value.spli... | Options | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Options:
def __init__(self, options=''):
"""Priority: command line, env vars, optional option."""
<|body_0|>
def get(self, key, default=None):
"""Returns value of option key as a string; if not matched and no default, returns empty string."""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_066118 | 30,266 | no_license | [
{
"docstring": "Priority: command line, env vars, optional option.",
"name": "__init__",
"signature": "def __init__(self, options='')"
},
{
"docstring": "Returns value of option key as a string; if not matched and no default, returns empty string.",
"name": "get",
"signature": "def get(s... | 2 | null | Implement the Python class `Options` described below.
Class description:
Implement the Options class.
Method signatures and docstrings:
- def __init__(self, options=''): Priority: command line, env vars, optional option.
- def get(self, key, default=None): Returns value of option key as a string; if not matched and n... | Implement the Python class `Options` described below.
Class description:
Implement the Options class.
Method signatures and docstrings:
- def __init__(self, options=''): Priority: command line, env vars, optional option.
- def get(self, key, default=None): Returns value of option key as a string; if not matched and n... | 64b24de4bb4aa4424c35a0ef6bd9ec0338e3843f | <|skeleton|>
class Options:
def __init__(self, options=''):
"""Priority: command line, env vars, optional option."""
<|body_0|>
def get(self, key, default=None):
"""Returns value of option key as a string; if not matched and no default, returns empty string."""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Options:
def __init__(self, options=''):
"""Priority: command line, env vars, optional option."""
self.options = dict()
for option in options.split():
key, value = key_value(option)
self.options[key] = value
app_env_key = 'udp_' + pathlib.Path(sys.argv[0... | the_stack_v2_python_sparse | dev/src/capture.py | jeremybnelson/NymicsRepo | train | 0 | |
458fc6d2eb0cefb46faf3f408673f097f7dba671 | [
"start = 10\nend = 50\ne1_start = 10\ne1_end = 20\ne2_start = 30\ne2_end = 40\ne3_start = 45\ne3_end = 50\nt = Transcript('t1', 'chr1', start, end, '+', 'gene1', None)\ne1 = Edge('e1', 'chr1', e1_start, e1_end, '+', 'gene1', 't1', None)\ne2 = Edge('e2', 'chr1', e2_start, e2_end, '+', 'gene1', 't1', None)\ne3 = Edge... | <|body_start_0|>
start = 10
end = 50
e1_start = 10
e1_end = 20
e2_start = 30
e2_end = 40
e3_start = 45
e3_end = 50
t = Transcript('t1', 'chr1', start, end, '+', 'gene1', None)
e1 = Edge('e1', 'chr1', e1_start, e1_end, '+', 'gene1', 't1', No... | TestAddEdgeToTranscript | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestAddEdgeToTranscript:
def test1(self):
"""Task: Add three exons to the transcript that belong in the following order: e1, e2, e3 (10,20) (30,40) (45,50) In this version of the test, we attempt to add them in order e1, e2, e3"""
<|body_0|>
def test2(self):
"""Task:... | stack_v2_sparse_classes_75kplus_train_066119 | 2,883 | permissive | [
{
"docstring": "Task: Add three exons to the transcript that belong in the following order: e1, e2, e3 (10,20) (30,40) (45,50) In this version of the test, we attempt to add them in order e1, e2, e3",
"name": "test1",
"signature": "def test1(self)"
},
{
"docstring": "Task: Add three exons to the... | 3 | null | Implement the Python class `TestAddEdgeToTranscript` described below.
Class description:
Implement the TestAddEdgeToTranscript class.
Method signatures and docstrings:
- def test1(self): Task: Add three exons to the transcript that belong in the following order: e1, e2, e3 (10,20) (30,40) (45,50) In this version of t... | Implement the Python class `TestAddEdgeToTranscript` described below.
Class description:
Implement the TestAddEdgeToTranscript class.
Method signatures and docstrings:
- def test1(self): Task: Add three exons to the transcript that belong in the following order: e1, e2, e3 (10,20) (30,40) (45,50) In this version of t... | 8014faed5f982e5e106ec05239e47d65878e76c3 | <|skeleton|>
class TestAddEdgeToTranscript:
def test1(self):
"""Task: Add three exons to the transcript that belong in the following order: e1, e2, e3 (10,20) (30,40) (45,50) In this version of the test, we attempt to add them in order e1, e2, e3"""
<|body_0|>
def test2(self):
"""Task:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestAddEdgeToTranscript:
def test1(self):
"""Task: Add three exons to the transcript that belong in the following order: e1, e2, e3 (10,20) (30,40) (45,50) In this version of the test, we attempt to add them in order e1, e2, e3"""
start = 10
end = 50
e1_start = 10
e1_en... | the_stack_v2_python_sparse | archived/talon_3.0down_testing_suite/test_add_exon_to_transcript.py | kopardev/TALON | train | 0 | |
7155e05e73315f1bf994f74ab327938287a38a3f | [
"if kwargs.has_key('solr_server'):\n self.solr_server = kwargs.get('solr_server')\nelse:\n self.solr_server = 'http://0.0.0.0:8983/solr'\nif kwargs.has_key('query'):\n self.query = kwargs.get('query')\nelse:\n self.query = None\nif kwargs.has_key('cache'):\n self.cache_location = kwargs.get('cache')\... | <|body_start_0|>
if kwargs.has_key('solr_server'):
self.solr_server = kwargs.get('solr_server')
else:
self.solr_server = 'http://0.0.0.0:8983/solr'
if kwargs.has_key('query'):
self.query = kwargs.get('query')
else:
self.query = None
... | `SolrBot` is the base bot for connecting to Solr server and retrieving and evaluating the results to a native Python object. | SolrBot | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SolrBot:
"""`SolrBot` is the base bot for connecting to Solr server and retrieving and evaluating the results to a native Python object."""
def __init__(self, **kwargs):
"""`SolrBot` initializes an instance of a bot Parameters: `solr_server`: URL to Solr server, defaults to http://0.... | stack_v2_sparse_classes_75kplus_train_066120 | 4,213 | permissive | [
{
"docstring": "`SolrBot` initializes an instance of a bot Parameters: `solr_server`: URL to Solr server, defaults to http://0.0.0.0:8983/solr `query`: Solr query, optional `cache`: Solr cache location, optional",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": ... | 3 | null | Implement the Python class `SolrBot` described below.
Class description:
`SolrBot` is the base bot for connecting to Solr server and retrieving and evaluating the results to a native Python object.
Method signatures and docstrings:
- def __init__(self, **kwargs): `SolrBot` initializes an instance of a bot Parameters:... | Implement the Python class `SolrBot` described below.
Class description:
`SolrBot` is the base bot for connecting to Solr server and retrieving and evaluating the results to a native Python object.
Method signatures and docstrings:
- def __init__(self, **kwargs): `SolrBot` initializes an instance of a bot Parameters:... | b5c44fa008f9afb4441988803921a93ffd615c30 | <|skeleton|>
class SolrBot:
"""`SolrBot` is the base bot for connecting to Solr server and retrieving and evaluating the results to a native Python object."""
def __init__(self, **kwargs):
"""`SolrBot` initializes an instance of a bot Parameters: `solr_server`: URL to Solr server, defaults to http://0.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SolrBot:
"""`SolrBot` is the base bot for connecting to Solr server and retrieving and evaluating the results to a native Python object."""
def __init__(self, **kwargs):
"""`SolrBot` initializes an instance of a bot Parameters: `solr_server`: URL to Solr server, defaults to http://0.0.0.0:8983/so... | the_stack_v2_python_sparse | aristotle/apps/grx/bots/solrbots.py | jermnelson/Discover-Aristotle | train | 15 |
82376ac0d97b16566ff93a5466100c4479a7da77 | [
"clients = cls.fetch_all_clients()\nfor client in clients:\n Client.update_or_create({'clockify_id': client['clockify_id']}, {'name': client['name']})\nreturn clients",
"url = '{}/workspaces/{}/clients'.format(V1_API_URL, WORKSPACE_ID)\nresponses = requests.get(url, headers=HEADERS)\nreturn [{'clockify_id': cl... | <|body_start_0|>
clients = cls.fetch_all_clients()
for client in clients:
Client.update_or_create({'clockify_id': client['clockify_id']}, {'name': client['name']})
return clients
<|end_body_0|>
<|body_start_1|>
url = '{}/workspaces/{}/clients'.format(V1_API_URL, WORKSPACE_ID... | Client | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Client:
def save_from_clockify(cls):
"""Check if all clients in clockify are register as clients in the database. Create a new client if necessary."""
<|body_0|>
def fetch_all_clients(archived=None):
"""Find all clients from Clockify on NEO's workspace. Returns list ... | stack_v2_sparse_classes_75kplus_train_066121 | 1,492 | no_license | [
{
"docstring": "Check if all clients in clockify are register as clients in the database. Create a new client if necessary.",
"name": "save_from_clockify",
"signature": "def save_from_clockify(cls)"
},
{
"docstring": "Find all clients from Clockify on NEO's workspace. Returns list of dictionarie... | 3 | null | Implement the Python class `Client` described below.
Class description:
Implement the Client class.
Method signatures and docstrings:
- def save_from_clockify(cls): Check if all clients in clockify are register as clients in the database. Create a new client if necessary.
- def fetch_all_clients(archived=None): Find ... | Implement the Python class `Client` described below.
Class description:
Implement the Client class.
Method signatures and docstrings:
- def save_from_clockify(cls): Check if all clients in clockify are register as clients in the database. Create a new client if necessary.
- def fetch_all_clients(archived=None): Find ... | 739cf6fcc62b1e0bb84bef25c3dd3dc23a0a7066 | <|skeleton|>
class Client:
def save_from_clockify(cls):
"""Check if all clients in clockify are register as clients in the database. Create a new client if necessary."""
<|body_0|>
def fetch_all_clients(archived=None):
"""Find all clients from Clockify on NEO's workspace. Returns list ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Client:
def save_from_clockify(cls):
"""Check if all clients in clockify are register as clients in the database. Create a new client if necessary."""
clients = cls.fetch_all_clients()
for client in clients:
Client.update_or_create({'clockify_id': client['clockify_id']}, {'... | the_stack_v2_python_sparse | models/client.py | neo-empresarial/clockify-integration | train | 4 | |
286c1d1ca2ceee3f818564b1e7012d36cb15677a | [
"dummy = ListNode(-1)\ndummy.next = head\ncurrent = dummy\nwhile current.next and current.next.next:\n next_1, next_2, next_3 = (current.next, current.next.next, current.next.next.next)\n current.next = next_2\n next_2.next = next_1\n next_1.next = next_3\n current = next_1\nreturn dummy.next",
"du... | <|body_start_0|>
dummy = ListNode(-1)
dummy.next = head
current = dummy
while current.next and current.next.next:
next_1, next_2, next_3 = (current.next, current.next.next, current.next.next.next)
current.next = next_2
next_2.next = next_1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def swapPairs(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def swapPairs_v2(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
def swapPairs_illegal(self, head):
""":type head: ListNode :rtype: Li... | stack_v2_sparse_classes_75kplus_train_066122 | 2,388 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "swapPairs",
"signature": "def swapPairs(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "swapPairs_v2",
"signature": "def swapPairs_v2(self, head)"
},
{
"docstring": ":type head: List... | 3 | stack_v2_sparse_classes_30k_train_012763 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head): :type head: ListNode :rtype: ListNode
- def swapPairs_v2(self, head): :type head: ListNode :rtype: ListNode
- def swapPairs_illegal(self, head): :type ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head): :type head: ListNode :rtype: ListNode
- def swapPairs_v2(self, head): :type head: ListNode :rtype: ListNode
- def swapPairs_illegal(self, head): :type ... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def swapPairs(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def swapPairs_v2(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
def swapPairs_illegal(self, head):
""":type head: ListNode :rtype: Li... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def swapPairs(self, head):
""":type head: ListNode :rtype: ListNode"""
dummy = ListNode(-1)
dummy.next = head
current = dummy
while current.next and current.next.next:
next_1, next_2, next_3 = (current.next, current.next.next, current.next.next.nex... | the_stack_v2_python_sparse | src/lt_24.py | oxhead/CodingYourWay | train | 0 | |
848bdea728b98ab322402d9ca52f3c750b936002 | [
"self.parameters = {'encoding': 'utf-8', 'text': True}\nself.stdout = None\nself.stderr = None\nself.returncode = None",
"from subprocess import DEVNULL, PIPE, Popen, STDOUT\n\ndef comunicate(parameters):\n popen = Popen(**parameters)\n stdout, stderr = popen.communicate()\n return (popen, stdout, stderr... | <|body_start_0|>
self.parameters = {'encoding': 'utf-8', 'text': True}
self.stdout = None
self.stderr = None
self.returncode = None
<|end_body_0|>
<|body_start_1|>
from subprocess import DEVNULL, PIPE, Popen, STDOUT
def comunicate(parameters):
popen = Popen(... | A helper class for executing a command line process. | Process | [
"MIT",
"GPL-3.0-only"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Process:
"""A helper class for executing a command line process."""
def __init__(self) -> None:
"""Initialize a Process instance."""
<|body_0|>
def execute(cls, args: list[str], shell: bool=False, capture_output: bool=True, split: bool=True, outpath: str=None) -> Process... | stack_v2_sparse_classes_75kplus_train_066123 | 2,615 | permissive | [
{
"docstring": "Initialize a Process instance.",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Execute a command line process. Args: args (list[str]): The command line arguments to execute. shell (bool, optional): If True, execute the command line using the she... | 2 | stack_v2_sparse_classes_30k_train_016976 | Implement the Python class `Process` described below.
Class description:
A helper class for executing a command line process.
Method signatures and docstrings:
- def __init__(self) -> None: Initialize a Process instance.
- def execute(cls, args: list[str], shell: bool=False, capture_output: bool=True, split: bool=Tru... | Implement the Python class `Process` described below.
Class description:
A helper class for executing a command line process.
Method signatures and docstrings:
- def __init__(self) -> None: Initialize a Process instance.
- def execute(cls, args: list[str], shell: bool=False, capture_output: bool=True, split: bool=Tru... | 00e14fc190ebff66cf50ff911f25cf5ad3529f8f | <|skeleton|>
class Process:
"""A helper class for executing a command line process."""
def __init__(self) -> None:
"""Initialize a Process instance."""
<|body_0|>
def execute(cls, args: list[str], shell: bool=False, capture_output: bool=True, split: bool=True, outpath: str=None) -> Process... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Process:
"""A helper class for executing a command line process."""
def __init__(self) -> None:
"""Initialize a Process instance."""
self.parameters = {'encoding': 'utf-8', 'text': True}
self.stdout = None
self.stderr = None
self.returncode = None
def execute(... | the_stack_v2_python_sparse | scripts/addon_library/local/ImagePaste/imagepaste/process.py | Tilapiatsu/blender-custom_config | train | 6 |
acbe2a1e5d3c6f9afdb1bd71a23e3a215b175a16 | [
"l = [0] * 26\nfor c in tasks:\n l[ord(c) - ord('A')] += 1\nl.sort()\ntime = 0\nwhile l[25] > 0:\n i = 0\n while i <= n:\n if l[25] == 0:\n break\n if i < 26 and l[25 - i] > 0:\n l[25 - i] -= 1\n time += 1\n i += 1\n l.sort()\nreturn time",
"task_count... | <|body_start_0|>
l = [0] * 26
for c in tasks:
l[ord(c) - ord('A')] += 1
l.sort()
time = 0
while l[25] > 0:
i = 0
while i <= n:
if l[25] == 0:
break
if i < 26 and l[25 - i] > 0:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def leastInterval(self, tasks, n):
""":type tasks: List[str] :type n: int :rtype: int"""
<|body_0|>
def leasetInterval2(self, tasks, n):
"""from submission :param tasks: :param n: :return:"""
<|body_1|>
def leasetInterval3(self, tasks, n):
... | stack_v2_sparse_classes_75kplus_train_066124 | 1,562 | no_license | [
{
"docstring": ":type tasks: List[str] :type n: int :rtype: int",
"name": "leastInterval",
"signature": "def leastInterval(self, tasks, n)"
},
{
"docstring": "from submission :param tasks: :param n: :return:",
"name": "leasetInterval2",
"signature": "def leasetInterval2(self, tasks, n)"
... | 3 | stack_v2_sparse_classes_30k_train_046640 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def leastInterval(self, tasks, n): :type tasks: List[str] :type n: int :rtype: int
- def leasetInterval2(self, tasks, n): from submission :param tasks: :param n: :return:
- def l... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def leastInterval(self, tasks, n): :type tasks: List[str] :type n: int :rtype: int
- def leasetInterval2(self, tasks, n): from submission :param tasks: :param n: :return:
- def l... | 2526f8c0dec7101123123740e146ee4081e979ee | <|skeleton|>
class Solution:
def leastInterval(self, tasks, n):
""":type tasks: List[str] :type n: int :rtype: int"""
<|body_0|>
def leasetInterval2(self, tasks, n):
"""from submission :param tasks: :param n: :return:"""
<|body_1|>
def leasetInterval3(self, tasks, n):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def leastInterval(self, tasks, n):
""":type tasks: List[str] :type n: int :rtype: int"""
l = [0] * 26
for c in tasks:
l[ord(c) - ord('A')] += 1
l.sort()
time = 0
while l[25] > 0:
i = 0
while i <= n:
i... | the_stack_v2_python_sparse | 621. Task Scheduler.py | zhangpengGenedock/leetcode_python | train | 1 | |
8c8238b8bab8f285a02a2c26dcdf8fce399d5ebd | [
"environment = SandboxEnvironment(client_id=PAYPAL_CLIENT_ID, client_secret=PAYPAL_CLIENT_SECRET)\nself.client = PayPalHttpClient(environment)\nself.process_notification = {PayPalStrings.WEBHOOK_APPROVED.value: self.capture, PayPalStrings.WEBHOOK_COMPLETED.value: self.fulfill}",
"capture_id = wh_data['resource'][... | <|body_start_0|>
environment = SandboxEnvironment(client_id=PAYPAL_CLIENT_ID, client_secret=PAYPAL_CLIENT_SECRET)
self.client = PayPalHttpClient(environment)
self.process_notification = {PayPalStrings.WEBHOOK_APPROVED.value: self.capture, PayPalStrings.WEBHOOK_COMPLETED.value: self.fulfill}
<|en... | Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout. | PaypalClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PaypalClient:
"""Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout."""
def __init__(self) -> None:
"""Инициализирует сессию работы с системой PayPal."""
<... | stack_v2_sparse_classes_75kplus_train_066125 | 8,853 | no_license | [
{
"docstring": "Инициализирует сессию работы с системой PayPal.",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Завершает заказ, уведомляет клиента.",
"name": "fulfill",
"signature": "def fulfill(self, wh_data: Dict[str, Any]) -> None"
},
{
"doc... | 6 | stack_v2_sparse_classes_30k_train_051202 | Implement the Python class `PaypalClient` described below.
Class description:
Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout.
Method signatures and docstrings:
- def __init__(self) -> None: Ини... | Implement the Python class `PaypalClient` described below.
Class description:
Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout.
Method signatures and docstrings:
- def __init__(self) -> None: Ини... | 015adcc4e138cdcc6163c0f7cb8a5fd6abe43266 | <|skeleton|>
class PaypalClient:
"""Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout."""
def __init__(self) -> None:
"""Инициализирует сессию работы с системой PayPal."""
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PaypalClient:
"""Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout."""
def __init__(self) -> None:
"""Инициализирует сессию работы с системой PayPal."""
environment = ... | the_stack_v2_python_sparse | billing/paypal/client.py | half-cat/gu-chatbot-01 | train | 0 |
4f7f29a5462632656f04f8baa03e1e0f7085c275 | [
"if not isinstance(data, np.ndarray):\n raise TypeError('data must be a 2D numpy.ndarray')\nif len(data.shape) != 2:\n raise TypeError('data must be a 2D numpy.ndarray')\nif data.shape[1] < 2:\n raise ValueError('data must contain multiple data points')\nd, n = data.shape\nself.mean = np.mean(data, axis=1,... | <|body_start_0|>
if not isinstance(data, np.ndarray):
raise TypeError('data must be a 2D numpy.ndarray')
if len(data.shape) != 2:
raise TypeError('data must be a 2D numpy.ndarray')
if data.shape[1] < 2:
raise ValueError('data must contain multiple data points'... | multiNormal | MultiNormal | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiNormal:
"""multiNormal"""
def __init__(self, data):
"""Multivariate Normal distribution Set the public instance"""
<|body_0|>
def pdf(self, x):
"""calculates the PDF at a data point"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not isi... | stack_v2_sparse_classes_75kplus_train_066126 | 1,419 | no_license | [
{
"docstring": "Multivariate Normal distribution Set the public instance",
"name": "__init__",
"signature": "def __init__(self, data)"
},
{
"docstring": "calculates the PDF at a data point",
"name": "pdf",
"signature": "def pdf(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_041218 | Implement the Python class `MultiNormal` described below.
Class description:
multiNormal
Method signatures and docstrings:
- def __init__(self, data): Multivariate Normal distribution Set the public instance
- def pdf(self, x): calculates the PDF at a data point | Implement the Python class `MultiNormal` described below.
Class description:
multiNormal
Method signatures and docstrings:
- def __init__(self, data): Multivariate Normal distribution Set the public instance
- def pdf(self, x): calculates the PDF at a data point
<|skeleton|>
class MultiNormal:
"""multiNormal"""
... | 7dafc37d306fcf2ea0f5af5bd97dfd78d388100c | <|skeleton|>
class MultiNormal:
"""multiNormal"""
def __init__(self, data):
"""Multivariate Normal distribution Set the public instance"""
<|body_0|>
def pdf(self, x):
"""calculates the PDF at a data point"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiNormal:
"""multiNormal"""
def __init__(self, data):
"""Multivariate Normal distribution Set the public instance"""
if not isinstance(data, np.ndarray):
raise TypeError('data must be a 2D numpy.ndarray')
if len(data.shape) != 2:
raise TypeError('data mu... | the_stack_v2_python_sparse | math/0x06-multivariate_prob/multinormal.py | AndresSern/holbertonschool-machine_learning-1 | train | 0 |
7ab7303db9ca1d69ac18f3c0a73adc5e4c7f21ba | [
"labels_queryset = NodeLabel.objects.filter(project_id=project_id)\nif cluster_id != node_constants.PROJECT_ALL_CLUSTER:\n labels_queryset = labels_queryset.filter(cluster_id=cluster_id)\nreturn labels_queryset",
"data = set([])\nfor info in labels_queryset:\n labels = info.node_labels\n if not key_name:... | <|body_start_0|>
labels_queryset = NodeLabel.objects.filter(project_id=project_id)
if cluster_id != node_constants.PROJECT_ALL_CLUSTER:
labels_queryset = labels_queryset.filter(cluster_id=cluster_id)
return labels_queryset
<|end_body_0|>
<|body_start_1|>
data = set([])
... | QueryNodeLabelKeys | [
"BSD-3-Clause",
"LicenseRef-scancode-unicode",
"ICU",
"LicenseRef-scancode-unknown-license-reference",
"Artistic-2.0",
"Zlib",
"LicenseRef-scancode-openssl",
"NAIST-2003",
"ISC",
"NTP",
"BSL-1.0",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QueryNodeLabelKeys:
def get_queryset(self, project_id, cluster_id):
"""filter the labels record"""
<|body_0|>
def compose_data(self, labels_queryset, key_name=None):
"""compose the label keys or values"""
<|body_1|>
def label_keys(self, request, project_... | stack_v2_sparse_classes_75kplus_train_066127 | 2,901 | permissive | [
{
"docstring": "filter the labels record",
"name": "get_queryset",
"signature": "def get_queryset(self, project_id, cluster_id)"
},
{
"docstring": "compose the label keys or values",
"name": "compose_data",
"signature": "def compose_data(self, labels_queryset, key_name=None)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_025543 | Implement the Python class `QueryNodeLabelKeys` described below.
Class description:
Implement the QueryNodeLabelKeys class.
Method signatures and docstrings:
- def get_queryset(self, project_id, cluster_id): filter the labels record
- def compose_data(self, labels_queryset, key_name=None): compose the label keys or v... | Implement the Python class `QueryNodeLabelKeys` described below.
Class description:
Implement the QueryNodeLabelKeys class.
Method signatures and docstrings:
- def get_queryset(self, project_id, cluster_id): filter the labels record
- def compose_data(self, labels_queryset, key_name=None): compose the label keys or v... | 96373cda9d87038aceb0b4858ce89e7873c8e149 | <|skeleton|>
class QueryNodeLabelKeys:
def get_queryset(self, project_id, cluster_id):
"""filter the labels record"""
<|body_0|>
def compose_data(self, labels_queryset, key_name=None):
"""compose the label keys or values"""
<|body_1|>
def label_keys(self, request, project_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QueryNodeLabelKeys:
def get_queryset(self, project_id, cluster_id):
"""filter the labels record"""
labels_queryset = NodeLabel.objects.filter(project_id=project_id)
if cluster_id != node_constants.PROJECT_ALL_CLUSTER:
labels_queryset = labels_queryset.filter(cluster_id=clus... | the_stack_v2_python_sparse | bcs-app/backend/apps/cluster/views/node_views/query_apis.py | freyzheng/bk-bcs-saas | train | 0 | |
299d79229cd592ff51bf999ca53b85427bd47cd0 | [
"if len(nums) < 1:\n return False\nk = max(nums)\ntemp = [0] * (k + 1)\nfor i in nums:\n temp[i] += 1\nfor i in range(len(temp)):\n if temp[i] >= 2:\n return True\nreturn False",
"if len(nums) < 1:\n return False\nif len(nums) != len(set(nums)):\n return True\nreturn False",
"if len(nums) ... | <|body_start_0|>
if len(nums) < 1:
return False
k = max(nums)
temp = [0] * (k + 1)
for i in nums:
temp[i] += 1
for i in range(len(temp)):
if temp[i] >= 2:
return True
return False
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsDuplicate(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def containsDuplicate2(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
def containsDuplicate2(self, nums):
""":type nums: List[int] ... | stack_v2_sparse_classes_75kplus_train_066128 | 1,683 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "containsDuplicate",
"signature": "def containsDuplicate(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "containsDuplicate2",
"signature": "def containsDuplicate2(self, nums)"
},
{
"docstri... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsDuplicate(self, nums): :type nums: List[int] :rtype: bool
- def containsDuplicate2(self, nums): :type nums: List[int] :rtype: bool
- def containsDuplicate2(self, nums... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsDuplicate(self, nums): :type nums: List[int] :rtype: bool
- def containsDuplicate2(self, nums): :type nums: List[int] :rtype: bool
- def containsDuplicate2(self, nums... | f022677c042db3598003df1a320a70f0edc4f870 | <|skeleton|>
class Solution:
def containsDuplicate(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def containsDuplicate2(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
def containsDuplicate2(self, nums):
""":type nums: List[int] ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def containsDuplicate(self, nums):
""":type nums: List[int] :rtype: bool"""
if len(nums) < 1:
return False
k = max(nums)
temp = [0] * (k + 1)
for i in nums:
temp[i] += 1
for i in range(len(temp)):
if temp[i] >= 2:
... | the_stack_v2_python_sparse | ArrayDeal/cunzaichongfuyuansu.py | daisyzl/program-exercise-python | train | 0 | |
45a9f1755ed081ec4907951950e90ef818be4af4 | [
"if n < 2:\n return False\nelse:\n for d in range(2, int(sqrt(n)) + 1):\n if n % d == 0:\n return False\n return True",
"if n <= 0:\n raise ValueError('n must be positive integer')\nelif n == 1:\n return 2\nelse:\n count = 1\n candidate = 1\n while count < n:\n can... | <|body_start_0|>
if n < 2:
return False
else:
for d in range(2, int(sqrt(n)) + 1):
if n % d == 0:
return False
return True
<|end_body_0|>
<|body_start_1|>
if n <= 0:
raise ValueError('n must be positive integer'... | generator of prime numbers | Prime | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Prime:
"""generator of prime numbers"""
def is_prime(n):
"""check if input "n" is prime number or not"""
<|body_0|>
def get_nth_prime(n):
"""find and return the nth prime number"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n < 2:
... | stack_v2_sparse_classes_75kplus_train_066129 | 1,019 | no_license | [
{
"docstring": "check if input \"n\" is prime number or not",
"name": "is_prime",
"signature": "def is_prime(n)"
},
{
"docstring": "find and return the nth prime number",
"name": "get_nth_prime",
"signature": "def get_nth_prime(n)"
}
] | 2 | null | Implement the Python class `Prime` described below.
Class description:
generator of prime numbers
Method signatures and docstrings:
- def is_prime(n): check if input "n" is prime number or not
- def get_nth_prime(n): find and return the nth prime number | Implement the Python class `Prime` described below.
Class description:
generator of prime numbers
Method signatures and docstrings:
- def is_prime(n): check if input "n" is prime number or not
- def get_nth_prime(n): find and return the nth prime number
<|skeleton|>
class Prime:
"""generator of prime numbers"""
... | 1e93dac2273d217577eda80c015eb3e735693f18 | <|skeleton|>
class Prime:
"""generator of prime numbers"""
def is_prime(n):
"""check if input "n" is prime number or not"""
<|body_0|>
def get_nth_prime(n):
"""find and return the nth prime number"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Prime:
"""generator of prime numbers"""
def is_prime(n):
"""check if input "n" is prime number or not"""
if n < 2:
return False
else:
for d in range(2, int(sqrt(n)) + 1):
if n % d == 0:
return False
return Tru... | the_stack_v2_python_sparse | src/introduction_to_computer_science_and_programming/assn01/ps1a.py | LeqiaoP1/PythonBeginner | train | 0 |
320f4209ab6cdf67b06a13fc214539a90cf2075f | [
"protocol, location = self.split(url)\nif protocol == self.protocol:\n return self.find(location)\nelse:\n return None",
"try:\n content = self.store[location]\n return StringIO(content)\nexcept:\n reason = 'location \"%s\" not in document store' % location\n raise Exception(reason)",
"parts =... | <|body_start_0|>
protocol, location = self.split(url)
if protocol == self.protocol:
return self.find(location)
else:
return None
<|end_body_0|>
<|body_start_1|>
try:
content = self.store[location]
return StringIO(content)
except:
... | The I{suds} document store provides a local repository for xml documnts. @cvar protocol: The URL protocol for the store. @type protocol: str @cvar store: The mapping of URL location to documents. @type store: dict | DocumentStore | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DocumentStore:
"""The I{suds} document store provides a local repository for xml documnts. @cvar protocol: The URL protocol for the store. @type protocol: str @cvar store: The mapping of URL location to documents. @type store: dict"""
def open(self, url):
"""Open a document at the sp... | stack_v2_sparse_classes_75kplus_train_066130 | 18,337 | permissive | [
{
"docstring": "Open a document at the specified url. @param url: A document URL. @type url: str @return: A file pointer to the document. @rtype: StringIO",
"name": "open",
"signature": "def open(self, url)"
},
{
"docstring": "Find the specified location in the store. @param location: The I{loca... | 3 | stack_v2_sparse_classes_30k_train_037015 | Implement the Python class `DocumentStore` described below.
Class description:
The I{suds} document store provides a local repository for xml documnts. @cvar protocol: The URL protocol for the store. @type protocol: str @cvar store: The mapping of URL location to documents. @type store: dict
Method signatures and doc... | Implement the Python class `DocumentStore` described below.
Class description:
The I{suds} document store provides a local repository for xml documnts. @cvar protocol: The URL protocol for the store. @type protocol: str @cvar store: The mapping of URL location to documents. @type store: dict
Method signatures and doc... | 7d8843fcdfe179f018af2038f813795f7182b714 | <|skeleton|>
class DocumentStore:
"""The I{suds} document store provides a local repository for xml documnts. @cvar protocol: The URL protocol for the store. @type protocol: str @cvar store: The mapping of URL location to documents. @type store: dict"""
def open(self, url):
"""Open a document at the sp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DocumentStore:
"""The I{suds} document store provides a local repository for xml documnts. @cvar protocol: The URL protocol for the store. @type protocol: str @cvar store: The mapping of URL location to documents. @type store: dict"""
def open(self, url):
"""Open a document at the specified url. ... | the_stack_v2_python_sparse | suds/store.py | CybernetiX-S3C/interactive-tutorials | train | 1 |
b34cd735cd2b4c1ff9ab0091f79aa1f659cb044e | [
"super().__init__()\nself.status_bar = self.statusBar()\nmain_frame = MainFrame(self.status_bar, smbedit)\nself.setCentralWidget(main_frame)\nself.menu_bar = MenuBar(self, main_frame, smbedit)\nself.setGeometry(150, 150, 550, 500)\nself.status_bar.showMessage('Ready')",
"percent = ('{0:.' + str(decimals) + 'f}').... | <|body_start_0|>
super().__init__()
self.status_bar = self.statusBar()
main_frame = MainFrame(self.status_bar, smbedit)
self.setCentralWidget(main_frame)
self.menu_bar = MenuBar(self, main_frame, smbedit)
self.setGeometry(150, 150, 550, 500)
self.status_bar.showMe... | Window | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Window:
def __init__(self, smbedit):
"""@type smbedit: SMBEditGUI"""
<|body_0|>
def print_progress_bar(self, iteration, total, prefix='', suffix='', decimals=1, length=20, fill='X'):
"""Original: https://stackoverflow.com/questions/3173320/text-progress-bar-in-the-co... | stack_v2_sparse_classes_75kplus_train_066131 | 1,829 | no_license | [
{
"docstring": "@type smbedit: SMBEditGUI",
"name": "__init__",
"signature": "def __init__(self, smbedit)"
},
{
"docstring": "Original: https://stackoverflow.com/questions/3173320/text-progress-bar-in-the-console Call in a loop to create terminal progress bar @params: iteration - Required : curr... | 2 | stack_v2_sparse_classes_30k_train_046746 | Implement the Python class `Window` described below.
Class description:
Implement the Window class.
Method signatures and docstrings:
- def __init__(self, smbedit): @type smbedit: SMBEditGUI
- def print_progress_bar(self, iteration, total, prefix='', suffix='', decimals=1, length=20, fill='X'): Original: https://stac... | Implement the Python class `Window` described below.
Class description:
Implement the Window class.
Method signatures and docstrings:
- def __init__(self, smbedit): @type smbedit: SMBEditGUI
- def print_progress_bar(self, iteration, total, prefix='', suffix='', decimals=1, length=20, fill='X'): Original: https://stac... | 12fe1b39513cf0d1ca8edd9adb6c11269c58fbb5 | <|skeleton|>
class Window:
def __init__(self, smbedit):
"""@type smbedit: SMBEditGUI"""
<|body_0|>
def print_progress_bar(self, iteration, total, prefix='', suffix='', decimals=1, length=20, fill='X'):
"""Original: https://stackoverflow.com/questions/3173320/text-progress-bar-in-the-co... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Window:
def __init__(self, smbedit):
"""@type smbedit: SMBEditGUI"""
super().__init__()
self.status_bar = self.statusBar()
main_frame = MainFrame(self.status_bar, smbedit)
self.setCentralWidget(main_frame)
self.menu_bar = MenuBar(self, main_frame, smbedit)
... | the_stack_v2_python_sparse | smlib/gui/window.py | p-hofmann/SMBEdit | train | 6 | |
fd6fa49d49e33477589e8e0c933ffc3972c52073 | [
"i = 0\ndigits = ''\nret = NestedInteger()\nwhile i < len(s):\n if '0' <= s[i] <= '9' or s[i] == '-':\n digits += s[i]\n else:\n if digits:\n num = int(digits)\n buf = NestedInteger(num)\n ret.add(buf)\n if s[i] == '[':\n start = i\n ... | <|body_start_0|>
i = 0
digits = ''
ret = NestedInteger()
while i < len(s):
if '0' <= s[i] <= '9' or s[i] == '-':
digits += s[i]
else:
if digits:
num = int(digits)
buf = NestedInteger(num)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def buff(self, s):
"""# using DFS # find all single integers # as for the list in it , call self to manage :type s: str :rtype: NestedInteger"""
<|body_0|>
def deserialize(self, s):
""":type s: str :rtype: NestedInteger"""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_75kplus_train_066132 | 2,855 | no_license | [
{
"docstring": "# using DFS # find all single integers # as for the list in it , call self to manage :type s: str :rtype: NestedInteger",
"name": "buff",
"signature": "def buff(self, s)"
},
{
"docstring": ":type s: str :rtype: NestedInteger",
"name": "deserialize",
"signature": "def dese... | 2 | stack_v2_sparse_classes_30k_train_001111 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buff(self, s): # using DFS # find all single integers # as for the list in it , call self to manage :type s: str :rtype: NestedInteger
- def deserialize(self, s): :type s: st... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buff(self, s): # using DFS # find all single integers # as for the list in it , call self to manage :type s: str :rtype: NestedInteger
- def deserialize(self, s): :type s: st... | 70bdd75b6af2e1811c1beab22050c01d28d7373e | <|skeleton|>
class Solution:
def buff(self, s):
"""# using DFS # find all single integers # as for the list in it , call self to manage :type s: str :rtype: NestedInteger"""
<|body_0|>
def deserialize(self, s):
""":type s: str :rtype: NestedInteger"""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def buff(self, s):
"""# using DFS # find all single integers # as for the list in it , call self to manage :type s: str :rtype: NestedInteger"""
i = 0
digits = ''
ret = NestedInteger()
while i < len(s):
if '0' <= s[i] <= '9' or s[i] == '-':
... | the_stack_v2_python_sparse | python/leetcode/385_Mini_Parser.py | bobcaoge/my-code | train | 0 | |
7e0a334559fcbd6c07f546ffff12e6b77351f6b3 | [
"order_by = self.request.GET.get('order_by', '-upload_date')\nif self.kwargs['action'] == 'last':\n pictures = Picture.objects.all().order_by(order_by)\nelif self.kwargs['action'] == 'user':\n if 'pk' in self.kwargs:\n user = get_user_model()\n pictures = Picture.objects.filter(user=user.objects... | <|body_start_0|>
order_by = self.request.GET.get('order_by', '-upload_date')
if self.kwargs['action'] == 'last':
pictures = Picture.objects.all().order_by(order_by)
elif self.kwargs['action'] == 'user':
if 'pk' in self.kwargs:
user = get_user_model()
... | Display list pictures. **Context** 'pictures', get by Picture.objects.filter, **Template:** 'gallery/full_gallery.html' **parameter action:** - 'last': last pictures - 'user': user pictures - 'category' : pictures of one category | GalleryListView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GalleryListView:
"""Display list pictures. **Context** 'pictures', get by Picture.objects.filter, **Template:** 'gallery/full_gallery.html' **parameter action:** - 'last': last pictures - 'user': user pictures - 'category' : pictures of one category"""
def get_queryset(self):
"""retu... | stack_v2_sparse_classes_75kplus_train_066133 | 5,747 | no_license | [
{
"docstring": "return pictures, Depends on the action parameter",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": "add title in global context.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_040449 | Implement the Python class `GalleryListView` described below.
Class description:
Display list pictures. **Context** 'pictures', get by Picture.objects.filter, **Template:** 'gallery/full_gallery.html' **parameter action:** - 'last': last pictures - 'user': user pictures - 'category' : pictures of one category
Method ... | Implement the Python class `GalleryListView` described below.
Class description:
Display list pictures. **Context** 'pictures', get by Picture.objects.filter, **Template:** 'gallery/full_gallery.html' **parameter action:** - 'last': last pictures - 'user': user pictures - 'category' : pictures of one category
Method ... | edbc4397f301102f136dba68b45a56a3f60cac7b | <|skeleton|>
class GalleryListView:
"""Display list pictures. **Context** 'pictures', get by Picture.objects.filter, **Template:** 'gallery/full_gallery.html' **parameter action:** - 'last': last pictures - 'user': user pictures - 'category' : pictures of one category"""
def get_queryset(self):
"""retu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GalleryListView:
"""Display list pictures. **Context** 'pictures', get by Picture.objects.filter, **Template:** 'gallery/full_gallery.html' **parameter action:** - 'last': last pictures - 'user': user pictures - 'category' : pictures of one category"""
def get_queryset(self):
"""return pictures, ... | the_stack_v2_python_sparse | gallery/views.py | lemarak/OC_Photosite | train | 1 |
4d1697041006bdd3b9ab72e0177d698dbc96e84e | [
"logging.info('Start sample output')\nif (title := articles.get('title', None)) is not None:\n self._print_title(title, colorize=kwargs.get('colorize', False))\nfor article in articles['articles']:\n self._print_article(article, colorize=kwargs.get('colorize', False))",
"if kwargs.get('colorize', False):\n ... | <|body_start_0|>
logging.info('Start sample output')
if (title := articles.get('title', None)) is not None:
self._print_title(title, colorize=kwargs.get('colorize', False))
for article in articles['articles']:
self._print_article(article, colorize=kwargs.get('colorize', F... | Class controller for sample output in standard out. | SamplePrintController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SamplePrintController:
"""Class controller for sample output in standard out."""
def print_to(self, articles, **kwargs):
"""Procedure for sample output of news articles. :param articles: dict with title and list of news articles :param kwargs: optional params. Use to extend a count g... | stack_v2_sparse_classes_75kplus_train_066134 | 14,360 | no_license | [
{
"docstring": "Procedure for sample output of news articles. :param articles: dict with title and list of news articles :param kwargs: optional params. Use to extend a count given params in base method colorize: bool - print the result of the utility in colorized mode :type articles: dict",
"name": "print_... | 3 | null | Implement the Python class `SamplePrintController` described below.
Class description:
Class controller for sample output in standard out.
Method signatures and docstrings:
- def print_to(self, articles, **kwargs): Procedure for sample output of news articles. :param articles: dict with title and list of news article... | Implement the Python class `SamplePrintController` described below.
Class description:
Class controller for sample output in standard out.
Method signatures and docstrings:
- def print_to(self, articles, **kwargs): Procedure for sample output of news articles. :param articles: dict with title and list of news article... | 8a3ae96ca94ef750e6da0615e6467d80a2b40ac2 | <|skeleton|>
class SamplePrintController:
"""Class controller for sample output in standard out."""
def print_to(self, articles, **kwargs):
"""Procedure for sample output of news articles. :param articles: dict with title and list of news articles :param kwargs: optional params. Use to extend a count g... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SamplePrintController:
"""Class controller for sample output in standard out."""
def print_to(self, articles, **kwargs):
"""Procedure for sample output of news articles. :param articles: dict with title and list of news articles :param kwargs: optional params. Use to extend a count given params i... | the_stack_v2_python_sparse | rssreader/output_controller.py | TeRRoRlsT/PythonHomework | train | 0 |
9f816a5dbdb90ecc305f560b95dc1bb479319909 | [
"utc_now = timezone.now()\nexpired = auth_token.created < utc_now - timezone.timedelta(hours=24)\nreturn expired",
"token, created = Token.objects.get_or_create(user=user)\nif not created:\n token.created = timezone.now()\n token.save()\nreturn token"
] | <|body_start_0|>
utc_now = timezone.now()
expired = auth_token.created < utc_now - timezone.timedelta(hours=24)
return expired
<|end_body_0|>
<|body_start_1|>
token, created = Token.objects.get_or_create(user=user)
if not created:
token.created = timezone.now()
... | Handles variations in auth token | AuthTokenHandler | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthTokenHandler:
"""Handles variations in auth token"""
def expired_token(auth_token):
"""Checks expiry of auth token"""
<|body_0|>
def create_auth_token(user):
"""Creates an auth token for a user"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_066135 | 718 | permissive | [
{
"docstring": "Checks expiry of auth token",
"name": "expired_token",
"signature": "def expired_token(auth_token)"
},
{
"docstring": "Creates an auth token for a user",
"name": "create_auth_token",
"signature": "def create_auth_token(user)"
}
] | 2 | null | Implement the Python class `AuthTokenHandler` described below.
Class description:
Handles variations in auth token
Method signatures and docstrings:
- def expired_token(auth_token): Checks expiry of auth token
- def create_auth_token(user): Creates an auth token for a user | Implement the Python class `AuthTokenHandler` described below.
Class description:
Handles variations in auth token
Method signatures and docstrings:
- def expired_token(auth_token): Checks expiry of auth token
- def create_auth_token(user): Creates an auth token for a user
<|skeleton|>
class AuthTokenHandler:
""... | d0f73bf166ad41f243cff6d82caced2f9facf2f9 | <|skeleton|>
class AuthTokenHandler:
"""Handles variations in auth token"""
def expired_token(auth_token):
"""Checks expiry of auth token"""
<|body_0|>
def create_auth_token(user):
"""Creates an auth token for a user"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuthTokenHandler:
"""Handles variations in auth token"""
def expired_token(auth_token):
"""Checks expiry of auth token"""
utc_now = timezone.now()
expired = auth_token.created < utc_now - timezone.timedelta(hours=24)
return expired
def create_auth_token(user):
... | the_stack_v2_python_sparse | authors/utils/authentication_handlers.py | andela/ah-the-immortals-backend | train | 3 |
225bfce3dd8611ddd90bf48606676b54a84abd7e | [
"direct_x = [1, -1, -1, 0, 1, -1, 0, 1]\ndirect_y = [0, 0, -1, -1, -1, 1, 1, 1]\nm = len(board)\nn = len(board[0])\nlive_num = 0\nfor k in range(8):\n x = direct_x[k] + j\n y = direct_y[k] + i\n if 0 <= x < n and 0 <= y < m and (board[y][x] % 2 > 0):\n live_num += 1\nreturn live_num",
"m = len(boa... | <|body_start_0|>
direct_x = [1, -1, -1, 0, 1, -1, 0, 1]
direct_y = [0, 0, -1, -1, -1, 1, 1, 1]
m = len(board)
n = len(board[0])
live_num = 0
for k in range(8):
x = direct_x[k] + j
y = direct_y[k] + i
if 0 <= x < n and 0 <= y < m and (bo... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def liveAroundCellNum(self, i, j, board):
"""Return the live cell number around the position (i, j) in the board."""
<|body_0|>
def gameOfLife(self, board):
"""next_state current_state (01) represents (dead, live) (00) represents(dead, dead) (11) represents... | stack_v2_sparse_classes_75kplus_train_066136 | 3,332 | no_license | [
{
"docstring": "Return the live cell number around the position (i, j) in the board.",
"name": "liveAroundCellNum",
"signature": "def liveAroundCellNum(self, i, j, board)"
},
{
"docstring": "next_state current_state (01) represents (dead, live) (00) represents(dead, dead) (11) represents(live, l... | 2 | stack_v2_sparse_classes_30k_train_006297 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def liveAroundCellNum(self, i, j, board): Return the live cell number around the position (i, j) in the board.
- def gameOfLife(self, board): next_state current_state (01) repres... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def liveAroundCellNum(self, i, j, board): Return the live cell number around the position (i, j) in the board.
- def gameOfLife(self, board): next_state current_state (01) repres... | 052bd7915257679877dbe55b60ed1abb7528eaa2 | <|skeleton|>
class Solution:
def liveAroundCellNum(self, i, j, board):
"""Return the live cell number around the position (i, j) in the board."""
<|body_0|>
def gameOfLife(self, board):
"""next_state current_state (01) represents (dead, live) (00) represents(dead, dead) (11) represents... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def liveAroundCellNum(self, i, j, board):
"""Return the live cell number around the position (i, j) in the board."""
direct_x = [1, -1, -1, 0, 1, -1, 0, 1]
direct_y = [0, 0, -1, -1, -1, 1, 1, 1]
m = len(board)
n = len(board[0])
live_num = 0
for... | the_stack_v2_python_sparse | python_solution/Array/289_GameOfLife.py | Dimen61/leetcode | train | 4 | |
e1f18609127cb27249f632cf7a86026ec4719baf | [
"self.bar: BarData = None\nself.on_bar: Callable = on_bar\nself.interval: Interval = interval\nself.interval_count: int = 0\nself.window: int = window\nself.window_bar: BarData = None\nself.on_window_bar: Callable = on_window_bar\nself.last_tick: TickData = None\nself.last_bar: BarData = None",
"new_minute = Fals... | <|body_start_0|>
self.bar: BarData = None
self.on_bar: Callable = on_bar
self.interval: Interval = interval
self.interval_count: int = 0
self.window: int = window
self.window_bar: BarData = None
self.on_window_bar: Callable = on_window_bar
self.last_tick: ... | For: 1. generating 1 minute bar data from tick data 2. generateing x minute bar/x hour bar data from 1 minute data Notice: 1. for x minute bar, x must be able to divide 60: 2, 3, 5, 6, 10, 15, 20, 30 2. for x hour bar, x can be any number | BarGenerator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BarGenerator:
"""For: 1. generating 1 minute bar data from tick data 2. generateing x minute bar/x hour bar data from 1 minute data Notice: 1. for x minute bar, x must be able to divide 60: 2, 3, 5, 6, 10, 15, 20, 30 2. for x hour bar, x can be any number"""
def __init__(self, on_bar: Callab... | stack_v2_sparse_classes_75kplus_train_066137 | 41,911 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, on_bar: Callable, window: int=0, on_window_bar: Callable=None, interval: Interval=Interval.MINUTE)"
},
{
"docstring": "Update new tick data into generator.",
"name": "update_tick",
"signature": "def update... | 4 | stack_v2_sparse_classes_30k_train_005987 | Implement the Python class `BarGenerator` described below.
Class description:
For: 1. generating 1 minute bar data from tick data 2. generateing x minute bar/x hour bar data from 1 minute data Notice: 1. for x minute bar, x must be able to divide 60: 2, 3, 5, 6, 10, 15, 20, 30 2. for x hour bar, x can be any number
M... | Implement the Python class `BarGenerator` described below.
Class description:
For: 1. generating 1 minute bar data from tick data 2. generateing x minute bar/x hour bar data from 1 minute data Notice: 1. for x minute bar, x must be able to divide 60: 2, 3, 5, 6, 10, 15, 20, 30 2. for x hour bar, x can be any number
M... | 7f4fd3cd202712b083ed7dc2f346ba4bb1bda6d7 | <|skeleton|>
class BarGenerator:
"""For: 1. generating 1 minute bar data from tick data 2. generateing x minute bar/x hour bar data from 1 minute data Notice: 1. for x minute bar, x must be able to divide 60: 2, 3, 5, 6, 10, 15, 20, 30 2. for x hour bar, x can be any number"""
def __init__(self, on_bar: Callab... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BarGenerator:
"""For: 1. generating 1 minute bar data from tick data 2. generateing x minute bar/x hour bar data from 1 minute data Notice: 1. for x minute bar, x must be able to divide 60: 2, 3, 5, 6, 10, 15, 20, 30 2. for x hour bar, x can be any number"""
def __init__(self, on_bar: Callable, window: i... | the_stack_v2_python_sparse | vnpy/trader/utility.py | msincenselee/vnpy | train | 359 |
a685ddab270ac094cb74e6919a6483505746d994 | [
"super().process()\nfile_metadata_name_with_path = self.transformer_src_filename\ntry:\n if CUtils.equal_ignore_case(self.transformer_type, self.Transformer_DOM_MDB):\n xml_obj = self.mdb_to_xml(file_metadata_name_with_path)\n elif CUtils.equal_ignore_case(self.transformer_type, self.Transformer_DOM_MA... | <|body_start_0|>
super().process()
file_metadata_name_with_path = self.transformer_src_filename
try:
if CUtils.equal_ignore_case(self.transformer_type, self.Transformer_DOM_MDB):
xml_obj = self.mdb_to_xml(file_metadata_name_with_path)
elif CUtils.equal_ign... | CMDTransformerDOM | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CMDTransformerDOM:
def process(self) -> str:
""":return:"""
<|body_0|>
def mdb_to_xml(self, file_metadata_name_with_path: str):
"""TODO 王学谦 mdb文件转xml,在函数外提前定义xml对象并获取父节点传入，函数会将通过父节点构造xml对象 by王学谦 :param file_metadata_name_with_path:查询的mdb文件全名，带路径 :return xml_obj:将文件内容... | stack_v2_sparse_classes_75kplus_train_066138 | 7,832 | no_license | [
{
"docstring": ":return:",
"name": "process",
"signature": "def process(self) -> str"
},
{
"docstring": "TODO 王学谦 mdb文件转xml,在函数外提前定义xml对象并获取父节点传入，函数会将通过父节点构造xml对象 by王学谦 :param file_metadata_name_with_path:查询的mdb文件全名，带路径 :return xml_obj:将文件内容存储好的项目对象",
"name": "mdb_to_xml",
"signature": "... | 4 | null | Implement the Python class `CMDTransformerDOM` described below.
Class description:
Implement the CMDTransformerDOM class.
Method signatures and docstrings:
- def process(self) -> str: :return:
- def mdb_to_xml(self, file_metadata_name_with_path: str): TODO 王学谦 mdb文件转xml,在函数外提前定义xml对象并获取父节点传入，函数会将通过父节点构造xml对象 by王学谦 :p... | Implement the Python class `CMDTransformerDOM` described below.
Class description:
Implement the CMDTransformerDOM class.
Method signatures and docstrings:
- def process(self) -> str: :return:
- def mdb_to_xml(self, file_metadata_name_with_path: str): TODO 王学谦 mdb文件转xml,在函数外提前定义xml对象并获取父节点传入，函数会将通过父节点构造xml对象 by王学谦 :p... | 58516401a054ff0d25bfb244810a37838c4c8cf6 | <|skeleton|>
class CMDTransformerDOM:
def process(self) -> str:
""":return:"""
<|body_0|>
def mdb_to_xml(self, file_metadata_name_with_path: str):
"""TODO 王学谦 mdb文件转xml,在函数外提前定义xml对象并获取父节点传入，函数会将通过父节点构造xml对象 by王学谦 :param file_metadata_name_with_path:查询的mdb文件全名，带路径 :return xml_obj:将文件内容... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CMDTransformerDOM:
def process(self) -> str:
""":return:"""
super().process()
file_metadata_name_with_path = self.transformer_src_filename
try:
if CUtils.equal_ignore_case(self.transformer_type, self.Transformer_DOM_MDB):
xml_obj = self.mdb_to_xml(fi... | the_stack_v2_python_sparse | imetadata/business/metadata/base/parser/metadata/busmetadata/c_mdTransformerDOM.py | GISdeveloper2017/imetadata | train | 0 | |
8d8515bf8a5aceea7b95a52ee632ca9eac95fa12 | [
"content = [w for w in menu_list]\nheight = len(menu_list)\nwidth = 0\nfor entry in menu_list:\n if len(entry.original_widget.text) > width:\n width = len(entry.original_widget.text)\nself._listbox = urwid.AttrWrap(urwid.ListBox(content), attr[0])\noverlay = urwid.Overlay(self._listbox, body, 'center', wi... | <|body_start_0|>
content = [w for w in menu_list]
height = len(menu_list)
width = 0
for entry in menu_list:
if len(entry.original_widget.text) > width:
width = len(entry.original_widget.text)
self._listbox = urwid.AttrWrap(urwid.ListBox(content), attr[... | Creates a popup menu on top of another BoxWidget. Attributes: selected -- Contains the item the user has selected by pressing <RETURN>, or None if nothing has been selected. | Popup | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Popup:
"""Creates a popup menu on top of another BoxWidget. Attributes: selected -- Contains the item the user has selected by pressing <RETURN>, or None if nothing has been selected."""
def __init__(self, menu_list, attr, pos, body):
"""menu_list -- a list of strings with the menu e... | stack_v2_sparse_classes_75kplus_train_066139 | 45,709 | no_license | [
{
"docstring": "menu_list -- a list of strings with the menu entries attr -- a tuple (background, active_item) of attributes pos -- a tuple (x, y), position of the menu widget body -- widget displayed beneath the message widget",
"name": "__init__",
"signature": "def __init__(self, menu_list, attr, pos,... | 2 | stack_v2_sparse_classes_30k_train_005881 | Implement the Python class `Popup` described below.
Class description:
Creates a popup menu on top of another BoxWidget. Attributes: selected -- Contains the item the user has selected by pressing <RETURN>, or None if nothing has been selected.
Method signatures and docstrings:
- def __init__(self, menu_list, attr, p... | Implement the Python class `Popup` described below.
Class description:
Creates a popup menu on top of another BoxWidget. Attributes: selected -- Contains the item the user has selected by pressing <RETURN>, or None if nothing has been selected.
Method signatures and docstrings:
- def __init__(self, menu_list, attr, p... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class Popup:
"""Creates a popup menu on top of another BoxWidget. Attributes: selected -- Contains the item the user has selected by pressing <RETURN>, or None if nothing has been selected."""
def __init__(self, menu_list, attr, pos, body):
"""menu_list -- a list of strings with the menu e... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Popup:
"""Creates a popup menu on top of another BoxWidget. Attributes: selected -- Contains the item the user has selected by pressing <RETURN>, or None if nothing has been selected."""
def __init__(self, menu_list, attr, pos, body):
"""menu_list -- a list of strings with the menu entries attr -... | the_stack_v2_python_sparse | repoData/socketubs-pyhn/allPythonContent.py | aCoffeeYin/pyreco | train | 0 |
d7ffbbba5eca98c6c9a7cf145708652c67038441 | [
"self.count = {}\nfor word in dictionary:\n abbr = word\n if len(abbr) > 2:\n abbr = word[0] + str(len(word) - 2) + word[-1]\n if abbr not in self.count:\n self.count[abbr] = word\n elif word != self.count[abbr]:\n self.count[abbr] = None",
"abbr = word\nif len(abbr) > 2:\n abb... | <|body_start_0|>
self.count = {}
for word in dictionary:
abbr = word
if len(abbr) > 2:
abbr = word[0] + str(len(word) - 2) + word[-1]
if abbr not in self.count:
self.count[abbr] = word
elif word != self.count[abbr]:
... | ValidWordAbbr | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValidWordAbbr:
def __init__(self, dictionary):
"""initialize your data structure here. :type dictionary: List[str]"""
<|body_0|>
def isUnique(self, word):
"""check if a word is unique. :type word: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start... | stack_v2_sparse_classes_75kplus_train_066140 | 999 | no_license | [
{
"docstring": "initialize your data structure here. :type dictionary: List[str]",
"name": "__init__",
"signature": "def __init__(self, dictionary)"
},
{
"docstring": "check if a word is unique. :type word: str :rtype: bool",
"name": "isUnique",
"signature": "def isUnique(self, word)"
... | 2 | stack_v2_sparse_classes_30k_train_011146 | Implement the Python class `ValidWordAbbr` described below.
Class description:
Implement the ValidWordAbbr class.
Method signatures and docstrings:
- def __init__(self, dictionary): initialize your data structure here. :type dictionary: List[str]
- def isUnique(self, word): check if a word is unique. :type word: str ... | Implement the Python class `ValidWordAbbr` described below.
Class description:
Implement the ValidWordAbbr class.
Method signatures and docstrings:
- def __init__(self, dictionary): initialize your data structure here. :type dictionary: List[str]
- def isUnique(self, word): check if a word is unique. :type word: str ... | 580366c7de5f27a931930aeec5e08aa043aa1d54 | <|skeleton|>
class ValidWordAbbr:
def __init__(self, dictionary):
"""initialize your data structure here. :type dictionary: List[str]"""
<|body_0|>
def isUnique(self, word):
"""check if a word is unique. :type word: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ValidWordAbbr:
def __init__(self, dictionary):
"""initialize your data structure here. :type dictionary: List[str]"""
self.count = {}
for word in dictionary:
abbr = word
if len(abbr) > 2:
abbr = word[0] + str(len(word) - 2) + word[-1]
... | the_stack_v2_python_sparse | 288-Unique-Word-Abbreviation/solution.py | z502185331/leetcode-python | train | 0 | |
803e14302f022f89cd945e30f297f5957bc06e4b | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UserExperienceAnalyticsDevicePerformance()",
"from .disk_type import DiskType\nfrom .entity import Entity\nfrom .user_experience_analytics_health_state import UserExperienceAnalyticsHealthState\nfrom .disk_type import DiskType\nfrom .e... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UserExperienceAnalyticsDevicePerformance()
<|end_body_0|>
<|body_start_1|>
from .disk_type import DiskType
from .entity import Entity
from .user_experience_analytics_health_state... | The user experience analytics device performance entity contains device boot performance details. | UserExperienceAnalyticsDevicePerformance | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserExperienceAnalyticsDevicePerformance:
"""The user experience analytics device performance entity contains device boot performance details."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsDevicePerformance:
"""Creates a new in... | stack_v2_sparse_classes_75kplus_train_066141 | 8,307 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: UserExperienceAnalyticsDevicePerformance",
"name": "create_from_discriminator_value",
"signature": "def crea... | 3 | stack_v2_sparse_classes_30k_train_035280 | Implement the Python class `UserExperienceAnalyticsDevicePerformance` described below.
Class description:
The user experience analytics device performance entity contains device boot performance details.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> U... | Implement the Python class `UserExperienceAnalyticsDevicePerformance` described below.
Class description:
The user experience analytics device performance entity contains device boot performance details.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> U... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UserExperienceAnalyticsDevicePerformance:
"""The user experience analytics device performance entity contains device boot performance details."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsDevicePerformance:
"""Creates a new in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserExperienceAnalyticsDevicePerformance:
"""The user experience analytics device performance entity contains device boot performance details."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsDevicePerformance:
"""Creates a new instance of the... | the_stack_v2_python_sparse | msgraph/generated/models/user_experience_analytics_device_performance.py | microsoftgraph/msgraph-sdk-python | train | 135 |
90ca9a93d82ffcdbc8162233b3882379fc231733 | [
"self.df = df\nself.data = df.values\nself.offset_mapper = OffsetMapper()\nself.offset_mapper.set_offset_list(list(df.index))\nself.cols_to_indexes = {k: v for v, k in enumerate(df.columns)}",
"col_indexes = np.vectorize(self.cols_to_indexes.get)(col_ids)\nrow_indexes = self.offset_mapper.map(np.asanyarray(row_id... | <|body_start_0|>
self.df = df
self.data = df.values
self.offset_mapper = OffsetMapper()
self.offset_mapper.set_offset_list(list(df.index))
self.cols_to_indexes = {k: v for v, k in enumerate(df.columns)}
<|end_body_0|>
<|body_start_1|>
col_indexes = np.vectorize(self.cols... | Utility class to allow a pandas dataframe to be treated like a 2-D array, indexed by rowid, colname For use in vectorized expressions where the desired values depend on both a row column selector e.g. size_terms.get(df.dest_taz, df.purpose) :: df = pd.DataFrame({'a': [1,2,3,4,5], 'b': [10,20,30,40,50]}, index=[100,101,... | DataFrameMatrix | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataFrameMatrix:
"""Utility class to allow a pandas dataframe to be treated like a 2-D array, indexed by rowid, colname For use in vectorized expressions where the desired values depend on both a row column selector e.g. size_terms.get(df.dest_taz, df.purpose) :: df = pd.DataFrame({'a': [1,2,3,4,... | stack_v2_sparse_classes_75kplus_train_066142 | 17,362 | permissive | [
{
"docstring": "Parameters ---------- df - pandas dataframe of uniform type",
"name": "__init__",
"signature": "def __init__(self, df)"
},
{
"docstring": "Parameters ---------- row_ids - list of row_ids (df index values) col_ids - list of column names, one per row_id, specifying column from whic... | 2 | stack_v2_sparse_classes_30k_train_031501 | Implement the Python class `DataFrameMatrix` described below.
Class description:
Utility class to allow a pandas dataframe to be treated like a 2-D array, indexed by rowid, colname For use in vectorized expressions where the desired values depend on both a row column selector e.g. size_terms.get(df.dest_taz, df.purpos... | Implement the Python class `DataFrameMatrix` described below.
Class description:
Utility class to allow a pandas dataframe to be treated like a 2-D array, indexed by rowid, colname For use in vectorized expressions where the desired values depend on both a row column selector e.g. size_terms.get(df.dest_taz, df.purpos... | 0f456746da31d0708a977d679ff8964c0ae7c673 | <|skeleton|>
class DataFrameMatrix:
"""Utility class to allow a pandas dataframe to be treated like a 2-D array, indexed by rowid, colname For use in vectorized expressions where the desired values depend on both a row column selector e.g. size_terms.get(df.dest_taz, df.purpose) :: df = pd.DataFrame({'a': [1,2,3,4,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataFrameMatrix:
"""Utility class to allow a pandas dataframe to be treated like a 2-D array, indexed by rowid, colname For use in vectorized expressions where the desired values depend on both a row column selector e.g. size_terms.get(df.dest_taz, df.purpose) :: df = pd.DataFrame({'a': [1,2,3,4,5], 'b': [10,... | the_stack_v2_python_sparse | activitysim/core/skim.py | ual/activitysim | train | 2 |
40d57d540c5df70b01b10496bd42a261213e80f2 | [
"logger.info('Introducing registration session')\nupdate = update.callback_query\nchat_id = update.message.chat_id\nif not admin_exists(chat_id):\n logger.info('Unauthenticated admin - ending')\n update.message.reply_text('Você precisa estar autenticado para fazer este procedimento!')\n context.bot.delete_... | <|body_start_0|>
logger.info('Introducing registration session')
update = update.callback_query
chat_id = update.message.chat_id
if not admin_exists(chat_id):
logger.info('Unauthenticated admin - ending')
update.message.reply_text('Você precisa estar autenticado p... | Register an admin | RegisterAdmin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegisterAdmin:
"""Register an admin"""
def index(update, context):
"""Start the conversation"""
<|body_0|>
def email(update, context):
"""Get new admin's email"""
<|body_1|>
def password(update, context):
"""Get new admin's password"""
... | stack_v2_sparse_classes_75kplus_train_066143 | 4,736 | permissive | [
{
"docstring": "Start the conversation",
"name": "index",
"signature": "def index(update, context)"
},
{
"docstring": "Get new admin's email",
"name": "email",
"signature": "def email(update, context)"
},
{
"docstring": "Get new admin's password",
"name": "password",
"sig... | 5 | stack_v2_sparse_classes_30k_train_004242 | Implement the Python class `RegisterAdmin` described below.
Class description:
Register an admin
Method signatures and docstrings:
- def index(update, context): Start the conversation
- def email(update, context): Get new admin's email
- def password(update, context): Get new admin's password
- def end(update, contex... | Implement the Python class `RegisterAdmin` described below.
Class description:
Register an admin
Method signatures and docstrings:
- def index(update, context): Start the conversation
- def email(update, context): Get new admin's email
- def password(update, context): Get new admin's password
- def end(update, contex... | 7a4f0a7f12c3aa438a523f67200e4d1e59415cca | <|skeleton|>
class RegisterAdmin:
"""Register an admin"""
def index(update, context):
"""Start the conversation"""
<|body_0|>
def email(update, context):
"""Get new admin's email"""
<|body_1|>
def password(update, context):
"""Get new admin's password"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RegisterAdmin:
"""Register an admin"""
def index(update, context):
"""Start the conversation"""
logger.info('Introducing registration session')
update = update.callback_query
chat_id = update.message.chat_id
if not admin_exists(chat_id):
logger.info('Un... | the_stack_v2_python_sparse | bot/admin/register_admin.py | Alohomora-team/2019.2-AlohomoraBot | train | 0 |
524c53cdf7274980df7c783ea6f4ae2584b1a533 | [
"input_data = {}\ninput_data['title'] = kwargs.get('title', None)\ninput_data['description'] = kwargs.get('description', None)\ninput_data['tags'] = kwargs.get('tags', [])\ninput_data['categories'] = kwargs.get('categories', [])\ninput_data['video'] = kwargs.get('video', None)\nreturn input_data",
"input_data = {... | <|body_start_0|>
input_data = {}
input_data['title'] = kwargs.get('title', None)
input_data['description'] = kwargs.get('description', None)
input_data['tags'] = kwargs.get('tags', [])
input_data['categories'] = kwargs.get('categories', [])
input_data['video'] = kwargs.ge... | Validations for theclient information | VideoValidations | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VideoValidations:
"""Validations for theclient information"""
def validate_video_data(self, kwargs):
"""Runs all the individual client registration data validations in one function Args: kwargs (dict): request data Returns: input_data (dict): validated data"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_066144 | 1,862 | permissive | [
{
"docstring": "Runs all the individual client registration data validations in one function Args: kwargs (dict): request data Returns: input_data (dict): validated data",
"name": "validate_video_data",
"signature": "def validate_video_data(self, kwargs)"
},
{
"docstring": "Runs all the corporat... | 2 | stack_v2_sparse_classes_30k_train_026440 | Implement the Python class `VideoValidations` described below.
Class description:
Validations for theclient information
Method signatures and docstrings:
- def validate_video_data(self, kwargs): Runs all the individual client registration data validations in one function Args: kwargs (dict): request data Returns: inp... | Implement the Python class `VideoValidations` described below.
Class description:
Validations for theclient information
Method signatures and docstrings:
- def validate_video_data(self, kwargs): Runs all the individual client registration data validations in one function Args: kwargs (dict): request data Returns: inp... | 04ff9ebb5da482e5b2642a89654a5b5f0128eaaa | <|skeleton|>
class VideoValidations:
"""Validations for theclient information"""
def validate_video_data(self, kwargs):
"""Runs all the individual client registration data validations in one function Args: kwargs (dict): request data Returns: input_data (dict): validated data"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VideoValidations:
"""Validations for theclient information"""
def validate_video_data(self, kwargs):
"""Runs all the individual client registration data validations in one function Args: kwargs (dict): request data Returns: input_data (dict): validated data"""
input_data = {}
inpu... | the_stack_v2_python_sparse | app/api/videos/validators/validate_input.py | lunyamwis/laylinks-bend | train | 0 |
946c0e46b7e3e6b2a39f7d7686a6a31e7051d7df | [
"super(LSTM, self).__init__()\nself.hidden_size = d_model\nself.lstm = nn.LSTM(input_size=input_size, hidden_size=d_model, num_layers=layers, batch_first=True)\nself.fc1 = nn.Linear(d_model, d_model)\nself.fc2 = nn.Linear(d_model, out_len)\nself.drop_out = nn.Dropout(dropout)\nself.device = device\nself.num_layers ... | <|body_start_0|>
super(LSTM, self).__init__()
self.hidden_size = d_model
self.lstm = nn.LSTM(input_size=input_size, hidden_size=d_model, num_layers=layers, batch_first=True)
self.fc1 = nn.Linear(d_model, d_model)
self.fc2 = nn.Linear(d_model, out_len)
self.drop_out = nn.D... | An implementation of LSTM for forecasting. | LSTM | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTM:
"""An implementation of LSTM for forecasting."""
def __init__(self, input_size, out_len, d_model=512, layers=3, dropout=0.0, device=torch.device('cuda:0')):
"""Initializes a LSTM instance. Args: input_size: Input features dimension out_len: Forecasting horizon d_model: Hidden l... | stack_v2_sparse_classes_75kplus_train_066145 | 4,262 | permissive | [
{
"docstring": "Initializes a LSTM instance. Args: input_size: Input features dimension out_len: Forecasting horizon d_model: Hidden layer dimension layers: Number of LSTM layers. dropout: Fraction of neurons affected by Dropout (default=0.0). device: Device used by the model",
"name": "__init__",
"sign... | 2 | stack_v2_sparse_classes_30k_train_024607 | Implement the Python class `LSTM` described below.
Class description:
An implementation of LSTM for forecasting.
Method signatures and docstrings:
- def __init__(self, input_size, out_len, d_model=512, layers=3, dropout=0.0, device=torch.device('cuda:0')): Initializes a LSTM instance. Args: input_size: Input features... | Implement the Python class `LSTM` described below.
Class description:
An implementation of LSTM for forecasting.
Method signatures and docstrings:
- def __init__(self, input_size, out_len, d_model=512, layers=3, dropout=0.0, device=torch.device('cuda:0')): Initializes a LSTM instance. Args: input_size: Input features... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class LSTM:
"""An implementation of LSTM for forecasting."""
def __init__(self, input_size, out_len, d_model=512, layers=3, dropout=0.0, device=torch.device('cuda:0')):
"""Initializes a LSTM instance. Args: input_size: Input features dimension out_len: Forecasting horizon d_model: Hidden l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LSTM:
"""An implementation of LSTM for forecasting."""
def __init__(self, input_size, out_len, d_model=512, layers=3, dropout=0.0, device=torch.device('cuda:0')):
"""Initializes a LSTM instance. Args: input_size: Input features dimension out_len: Forecasting horizon d_model: Hidden layer dimensio... | the_stack_v2_python_sparse | ime/models/lstm.py | Jimmy-INL/google-research | train | 1 |
0cd3a5e0c458872aecf851529f6d7406d7e188f9 | [
"response = super(JsonMemory, self).Read()\ntry:\n data = json.loads(response.strip())\nexcept ValueError:\n data = response.strip()\nreturn data",
"data = json.dumps(what) + '\\n'\nif len(data) > self.size:\n raise MemoryOverflow('Data is of length {} whilst the memory will only hold {}'.format(len(data... | <|body_start_0|>
response = super(JsonMemory, self).Read()
try:
data = json.loads(response.strip())
except ValueError:
data = response.strip()
return data
<|end_body_0|>
<|body_start_1|>
data = json.dumps(what) + '\n'
if len(data) > self.size:
... | JSON shared memory handler. Reads and writes JSON data rather than just plain strings | JsonMemory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JsonMemory:
"""JSON shared memory handler. Reads and writes JSON data rather than just plain strings"""
def Read(self):
"""Reads the data from memory, and .strip()'s the trailing linebreak"""
<|body_0|>
def Write(self, what):
"""Writes data to shared memory. Conv... | stack_v2_sparse_classes_75kplus_train_066146 | 3,221 | no_license | [
{
"docstring": "Reads the data from memory, and .strip()'s the trailing linebreak",
"name": "Read",
"signature": "def Read(self)"
},
{
"docstring": "Writes data to shared memory. Converts to JSON data, so should probably only accept dicts since any other datatype doesn't really make sense",
... | 3 | stack_v2_sparse_classes_30k_train_040516 | Implement the Python class `JsonMemory` described below.
Class description:
JSON shared memory handler. Reads and writes JSON data rather than just plain strings
Method signatures and docstrings:
- def Read(self): Reads the data from memory, and .strip()'s the trailing linebreak
- def Write(self, what): Writes data t... | Implement the Python class `JsonMemory` described below.
Class description:
JSON shared memory handler. Reads and writes JSON data rather than just plain strings
Method signatures and docstrings:
- def Read(self): Reads the data from memory, and .strip()'s the trailing linebreak
- def Write(self, what): Writes data t... | 50de3488a2140343c364efc2615cf6e67f152be0 | <|skeleton|>
class JsonMemory:
"""JSON shared memory handler. Reads and writes JSON data rather than just plain strings"""
def Read(self):
"""Reads the data from memory, and .strip()'s the trailing linebreak"""
<|body_0|>
def Write(self, what):
"""Writes data to shared memory. Conv... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JsonMemory:
"""JSON shared memory handler. Reads and writes JSON data rather than just plain strings"""
def Read(self):
"""Reads the data from memory, and .strip()'s the trailing linebreak"""
response = super(JsonMemory, self).Read()
try:
data = json.loads(response.str... | the_stack_v2_python_sparse | carbon/common/lib/launcherapi.py | nanxijw/Clara-Pretty-One-Dick | train | 0 |
afb56ce2864fb14579beda356238f2d3c34d755d | [
"if root == None:\n return '[]'\nque = []\nque.append(root)\nres = []\nwhile any(que):\n next_level = []\n while len(que) > 0:\n cur = que.pop(0)\n if cur == None:\n res.append(None)\n next_level.append(None)\n next_level.append(None)\n else:\n ... | <|body_start_0|>
if root == None:
return '[]'
que = []
que.append(root)
res = []
while any(que):
next_level = []
while len(que) > 0:
cur = que.pop(0)
if cur == None:
res.append(None)
... | 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_066147 | 3,172 | 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_001438 | 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:... | 0d6f414e7610fedb2ec4818ecf88d51aa69e1355 | <|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 root == None:
return '[]'
que = []
que.append(root)
res = []
while any(que):
next_level = []
while len(que) > 0:
... | the_stack_v2_python_sparse | 0449_Serialize_and_Deserialize_BST.py | chien-wei/LeetCode | train | 0 | |
b538204372d05e885181a52780166e3e3007f2a2 | [
"TaskProvider.__init__(self, task_id, input_file_path)\nif os.path.isfile(reference_file_path) is True:\n self.reference_file_path = reference_file_path\n self.reference_file_name = os.path.basename(reference_file_path)\nelse:\n self.acknowledge_error()\nself.input_frame_in = str(input_frame_in)\nself.inpu... | <|body_start_0|>
TaskProvider.__init__(self, task_id, input_file_path)
if os.path.isfile(reference_file_path) is True:
self.reference_file_path = reference_file_path
self.reference_file_name = os.path.basename(reference_file_path)
else:
self.acknowledge_error(... | This class defines an Export task | ExportProvider | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExportProvider:
"""This class defines an Export task"""
def __init__(self, task_id, input_file_path, input_frame_in, input_frame_out, reference_file_path, reference_width, reference_height, split_required):
"""Export initialization :param task_id: The task identifier :type task_id: i... | stack_v2_sparse_classes_75kplus_train_066148 | 4,137 | permissive | [
{
"docstring": "Export initialization :param task_id: The task identifier :type task_id: int :param input_file_path: The input video file path :type input_file_path: str :param input_frame_in: The first video frame of future exported media :type input_frame_in: int :param input_frame_out: The last video frame o... | 2 | stack_v2_sparse_classes_30k_train_027775 | Implement the Python class `ExportProvider` described below.
Class description:
This class defines an Export task
Method signatures and docstrings:
- def __init__(self, task_id, input_file_path, input_frame_in, input_frame_out, reference_file_path, reference_width, reference_height, split_required): Export initializa... | Implement the Python class `ExportProvider` described below.
Class description:
This class defines an Export task
Method signatures and docstrings:
- def __init__(self, task_id, input_file_path, input_frame_in, input_frame_out, reference_file_path, reference_width, reference_height, split_required): Export initializa... | 48c1b202673a948e1ca51fbd44ac4c1a037f4ef7 | <|skeleton|>
class ExportProvider:
"""This class defines an Export task"""
def __init__(self, task_id, input_file_path, input_frame_in, input_frame_out, reference_file_path, reference_width, reference_height, split_required):
"""Export initialization :param task_id: The task identifier :type task_id: i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExportProvider:
"""This class defines an Export task"""
def __init__(self, task_id, input_file_path, input_frame_in, input_frame_out, reference_file_path, reference_width, reference_height, split_required):
"""Export initialization :param task_id: The task identifier :type task_id: int :param inp... | the_stack_v2_python_sparse | pixelwalker/worker/task_providers/export.py | thomMar/pixelwalker | train | 0 |
fbad5cb3794cca062faba6abaf128cfb67d092b2 | [
"self.email = email\nself.pwd = pwd\nself.uid = None\nself.auth_id = None\nself.uid_hex = None",
"data = {'email': self.email, 'locale': 'en', 'platform': '0', 'password': sha1(self.pwd.encode()).hexdigest(), 'env': 'home'}\nheaders = {'Cookie': f'evercookie={randint(1000000, 99999999)};'}\nwhile True:\n try:\... | <|body_start_0|>
self.email = email
self.pwd = pwd
self.uid = None
self.auth_id = None
self.uid_hex = None
<|end_body_0|>
<|body_start_1|>
data = {'email': self.email, 'locale': 'en', 'platform': '0', 'password': sha1(self.pwd.encode()).hexdigest(), 'env': 'home'}
... | A class to manage account. | Account | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Account:
"""A class to manage account."""
def __init__(self, email, pwd):
"""Initialise attributes."""
<|body_0|>
def login(self):
"""sends login request and returns uid and loginid."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.email = e... | stack_v2_sparse_classes_75kplus_train_066149 | 1,245 | no_license | [
{
"docstring": "Initialise attributes.",
"name": "__init__",
"signature": "def __init__(self, email, pwd)"
},
{
"docstring": "sends login request and returns uid and loginid.",
"name": "login",
"signature": "def login(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008561 | Implement the Python class `Account` described below.
Class description:
A class to manage account.
Method signatures and docstrings:
- def __init__(self, email, pwd): Initialise attributes.
- def login(self): sends login request and returns uid and loginid. | Implement the Python class `Account` described below.
Class description:
A class to manage account.
Method signatures and docstrings:
- def __init__(self, email, pwd): Initialise attributes.
- def login(self): sends login request and returns uid and loginid.
<|skeleton|>
class Account:
"""A class to manage accou... | d27b2f5373bcef96a3e7b14070dc8ad14aca0d10 | <|skeleton|>
class Account:
"""A class to manage account."""
def __init__(self, email, pwd):
"""Initialise attributes."""
<|body_0|>
def login(self):
"""sends login request and returns uid and loginid."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Account:
"""A class to manage account."""
def __init__(self, email, pwd):
"""Initialise attributes."""
self.email = email
self.pwd = pwd
self.uid = None
self.auth_id = None
self.uid_hex = None
def login(self):
"""sends login request and returns... | the_stack_v2_python_sparse | account.py | khanxbahria/modbot_ourworld | train | 0 |
9d768c2eafb3c4ec4d4c5cd674176a5e02f63088 | [
"if num_pages > self.MAX_KIDS_BOOK_PAGES:\n num_pages = self.MAX_KIDS_BOOK_PAGES\ntitle = title.upper()\nBook.__init__(self, author, title, subject, num_pages)\nself._start_age = min_age\nself._age_range = max_age - min_age",
"out = \"Hi kids. Today we're going to learn about \" + self.get_topic()\nout += ' in... | <|body_start_0|>
if num_pages > self.MAX_KIDS_BOOK_PAGES:
num_pages = self.MAX_KIDS_BOOK_PAGES
title = title.upper()
Book.__init__(self, author, title, subject, num_pages)
self._start_age = min_age
self._age_range = max_age - min_age
<|end_body_0|>
<|body_start_1|>
... | KidsBook | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KidsBook:
def __init__(self, author, title, subject, num_pages, min_age, max_age):
"""(KidsBook, str, str, str, int, int, int) -> NoneType Initialize this kids book with the author's name (author), the title of the book (title), the subject that the book covers (subject) the total number... | stack_v2_sparse_classes_75kplus_train_066150 | 3,569 | no_license | [
{
"docstring": "(KidsBook, str, str, str, int, int, int) -> NoneType Initialize this kids book with the author's name (author), the title of the book (title), the subject that the book covers (subject) the total number of pages (num_pages), and the minimum and maximum ages for which this book is appropriate (mi... | 2 | null | Implement the Python class `KidsBook` described below.
Class description:
Implement the KidsBook class.
Method signatures and docstrings:
- def __init__(self, author, title, subject, num_pages, min_age, max_age): (KidsBook, str, str, str, int, int, int) -> NoneType Initialize this kids book with the author's name (au... | Implement the Python class `KidsBook` described below.
Class description:
Implement the KidsBook class.
Method signatures and docstrings:
- def __init__(self, author, title, subject, num_pages, min_age, max_age): (KidsBook, str, str, str, int, int, int) -> NoneType Initialize this kids book with the author's name (au... | dffbef98cbf43eccc13fafb40df1aaada50850f4 | <|skeleton|>
class KidsBook:
def __init__(self, author, title, subject, num_pages, min_age, max_age):
"""(KidsBook, str, str, str, int, int, int) -> NoneType Initialize this kids book with the author's name (author), the title of the book (title), the subject that the book covers (subject) the total number... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KidsBook:
def __init__(self, author, title, subject, num_pages, min_age, max_age):
"""(KidsBook, str, str, str, int, int, int) -> NoneType Initialize this kids book with the author's name (author), the title of the book (title), the subject that the book covers (subject) the total number of pages (num... | the_stack_v2_python_sparse | Fall_2016_CSCA08_Intro_to_Computer_Science_I/Week__10_Inheritance/week10.py | BoZhaoUT/Teaching | train | 0 | |
a96c94f516245759d9c9106bd0acd430dd4e9ab4 | [
"from sunpy.coordinates.sun import _angular_radius\nif not isinstance(self.observer, HeliographicStonyhurst):\n if self.observer is None:\n raise ValueError('The observer must be defined, not `None`.')\n raise ValueError('The observer must be fully defined by specifying `obstime`.')\nreturn _angular_ra... | <|body_start_0|>
from sunpy.coordinates.sun import _angular_radius
if not isinstance(self.observer, HeliographicStonyhurst):
if self.observer is None:
raise ValueError('The observer must be defined, not `None`.')
raise ValueError('The observer must be fully define... | A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive values in the direction of the Sun's west li... | Helioprojective | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Helioprojective:
"""A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive v... | stack_v2_sparse_classes_75kplus_train_066151 | 35,206 | permissive | [
{
"docstring": "Angular radius of the Sun as seen by the observer. The ``rsun`` frame attribute is the radius of the Sun in length units. The tangent vector from the observer to the edge of the Sun forms a right-angle triangle with the radius of the Sun as the far side and the Sun-observer distance as the hypot... | 3 | stack_v2_sparse_classes_30k_train_021333 | Implement the Python class `Helioprojective` described below.
Class description:
A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and t... | Implement the Python class `Helioprojective` described below.
Class description:
A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and t... | edd3ea805f4540d41ce2932a0e865cab2d6a4cf5 | <|skeleton|>
class Helioprojective:
"""A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive v... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Helioprojective:
"""A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive values in the ... | the_stack_v2_python_sparse | sunpy/coordinates/frames.py | sunpy/sunpy | train | 792 |
3517c72d341daa48fc8445f92728c972de696922 | [
"ExecutionContext().transition(ExecutionContext.phases.VERIFICATION)\nlogstr = 'FileCopy: Checking destination is writable, \"%s\"' % self.dst\nlogger.info('{0}: {1}'.format(self.file_context, logstr))\nif not filesys.writable_path_or_ancestor(self.dst):\n return self.verification_codes.UNWRITABLE_TARGET\nlogstr... | <|body_start_0|>
ExecutionContext().transition(ExecutionContext.phases.VERIFICATION)
logstr = 'FileCopy: Checking destination is writable, "%s"' % self.dst
logger.info('{0}: {1}'.format(self.file_context, logstr))
if not filesys.writable_path_or_ancestor(self.dst):
return sel... | FileCopyAction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileCopyAction:
def verify_can_exec(self, filesys):
"""Check to ensure that execution can proceed without errors. Ensures that the source file exists and is readable, and that the target file can be created or is writable."""
<|body_0|>
def execute(self, filesys):
""... | stack_v2_sparse_classes_75kplus_train_066152 | 2,327 | permissive | [
{
"docstring": "Check to ensure that execution can proceed without errors. Ensures that the source file exists and is readable, and that the target file can be created or is writable.",
"name": "verify_can_exec",
"signature": "def verify_can_exec(self, filesys)"
},
{
"docstring": "FileCopyAction... | 2 | null | Implement the Python class `FileCopyAction` described below.
Class description:
Implement the FileCopyAction class.
Method signatures and docstrings:
- def verify_can_exec(self, filesys): Check to ensure that execution can proceed without errors. Ensures that the source file exists and is readable, and that the targe... | Implement the Python class `FileCopyAction` described below.
Class description:
Implement the FileCopyAction class.
Method signatures and docstrings:
- def verify_can_exec(self, filesys): Check to ensure that execution can proceed without errors. Ensures that the source file exists and is readable, and that the targe... | 5711b5c71e39b958bc8185c6b893358de7598ae2 | <|skeleton|>
class FileCopyAction:
def verify_can_exec(self, filesys):
"""Check to ensure that execution can proceed without errors. Ensures that the source file exists and is readable, and that the target file can be created or is writable."""
<|body_0|>
def execute(self, filesys):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FileCopyAction:
def verify_can_exec(self, filesys):
"""Check to ensure that execution can proceed without errors. Ensures that the source file exists and is readable, and that the target file can be created or is writable."""
ExecutionContext().transition(ExecutionContext.phases.VERIFICATION)
... | the_stack_v2_python_sparse | salve/action/copy/file.py | sirosen/SALVE | train | 0 | |
7b1844290a71928844dfeea8f1dc15d25741f5bb | [
"queryset = ExerciseModel.objects.all()\ncampaign = get_object_or_404(queryset, pk=pk)\nserializer = CampaignSerializer(campaign)\nreturn Response(serializer.data)",
"campaign = CampaignModel.objects.get(pk=pk)\nserializer = Ca(campaign, data=request.data)\nif serializer.is_valid(raise_exception=True):\n seria... | <|body_start_0|>
queryset = ExerciseModel.objects.all()
campaign = get_object_or_404(queryset, pk=pk)
serializer = CampaignSerializer(campaign)
return Response(serializer.data)
<|end_body_0|>
<|body_start_1|>
campaign = CampaignModel.objects.get(pk=pk)
serializer = Ca(ca... | API for retrieving, updating and deleting of a exercise (GET, PUT and DELETE) | ExerciseRetrieveUpdateDestroy | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExerciseRetrieveUpdateDestroy:
"""API for retrieving, updating and deleting of a exercise (GET, PUT and DELETE)"""
def retrieve(self, request, pk=None, **kwargs):
"""Retrieve a exercise instance. :param request: request object. :param pk: primary key. :param kwargs: keywords argument... | stack_v2_sparse_classes_75kplus_train_066153 | 4,561 | no_license | [
{
"docstring": "Retrieve a exercise instance. :param request: request object. :param pk: primary key. :param kwargs: keywords arguments. :return: exercise instance.",
"name": "retrieve",
"signature": "def retrieve(self, request, pk=None, **kwargs)"
},
{
"docstring": "Update existing exercise. :p... | 3 | stack_v2_sparse_classes_30k_train_031395 | Implement the Python class `ExerciseRetrieveUpdateDestroy` described below.
Class description:
API for retrieving, updating and deleting of a exercise (GET, PUT and DELETE)
Method signatures and docstrings:
- def retrieve(self, request, pk=None, **kwargs): Retrieve a exercise instance. :param request: request object.... | Implement the Python class `ExerciseRetrieveUpdateDestroy` described below.
Class description:
API for retrieving, updating and deleting of a exercise (GET, PUT and DELETE)
Method signatures and docstrings:
- def retrieve(self, request, pk=None, **kwargs): Retrieve a exercise instance. :param request: request object.... | 288f76ba84dcf2bc108504b7c58b0b0431028add | <|skeleton|>
class ExerciseRetrieveUpdateDestroy:
"""API for retrieving, updating and deleting of a exercise (GET, PUT and DELETE)"""
def retrieve(self, request, pk=None, **kwargs):
"""Retrieve a exercise instance. :param request: request object. :param pk: primary key. :param kwargs: keywords argument... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExerciseRetrieveUpdateDestroy:
"""API for retrieving, updating and deleting of a exercise (GET, PUT and DELETE)"""
def retrieve(self, request, pk=None, **kwargs):
"""Retrieve a exercise instance. :param request: request object. :param pk: primary key. :param kwargs: keywords arguments. :return: e... | the_stack_v2_python_sparse | api/views.py | tefatt/TeeM | train | 0 |
ac4248d86d3735522d0748d8ef2329577e155b31 | [
"if not raw or raw == '0':\n return 'None'\nif raw.isdigit():\n emoji = discord.utils.get(ctx.bot.get_all_emojis(), id=raw)\n return str(emoji) if emoji else raw\nelse:\n return raw",
"if userstr.lower() in ['0', 'none']:\n return None\nif userstr.endswith('>') and userstr.startswith('<'):\n id_... | <|body_start_0|>
if not raw or raw == '0':
return 'None'
if raw.isdigit():
emoji = discord.utils.get(ctx.bot.get_all_emojis(), id=raw)
return str(emoji) if emoji else raw
else:
return raw
<|end_body_0|>
<|body_start_1|>
if userstr.lower() ... | EMOJI type. | EMOJI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EMOJI:
"""EMOJI type."""
async def humanise(self, ctx, raw):
"""Expect raw to be emoji id or unicode. Empty values are None and 0."""
<|body_0|>
async def understand(self, ctx, userstr):
"""User can enter an emoji id, custom emoji, or unicode built in emoji."""
... | stack_v2_sparse_classes_75kplus_train_066154 | 9,355 | no_license | [
{
"docstring": "Expect raw to be emoji id or unicode. Empty values are None and 0.",
"name": "humanise",
"signature": "async def humanise(self, ctx, raw)"
},
{
"docstring": "User can enter an emoji id, custom emoji, or unicode built in emoji.",
"name": "understand",
"signature": "async d... | 2 | stack_v2_sparse_classes_30k_train_003676 | Implement the Python class `EMOJI` described below.
Class description:
EMOJI type.
Method signatures and docstrings:
- async def humanise(self, ctx, raw): Expect raw to be emoji id or unicode. Empty values are None and 0.
- async def understand(self, ctx, userstr): User can enter an emoji id, custom emoji, or unicode... | Implement the Python class `EMOJI` described below.
Class description:
EMOJI type.
Method signatures and docstrings:
- async def humanise(self, ctx, raw): Expect raw to be emoji id or unicode. Empty values are None and 0.
- async def understand(self, ctx, userstr): User can enter an emoji id, custom emoji, or unicode... | d32000a0165b8a29e2758cadc261af5f715b2289 | <|skeleton|>
class EMOJI:
"""EMOJI type."""
async def humanise(self, ctx, raw):
"""Expect raw to be emoji id or unicode. Empty values are None and 0."""
<|body_0|>
async def understand(self, ctx, userstr):
"""User can enter an emoji id, custom emoji, or unicode built in emoji."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EMOJI:
"""EMOJI type."""
async def humanise(self, ctx, raw):
"""Expect raw to be emoji id or unicode. Empty values are None and 0."""
if not raw or raw == '0':
return 'None'
if raw.isdigit():
emoji = discord.utils.get(ctx.bot.get_all_emojis(), id=raw)
... | the_stack_v2_python_sparse | settingTypes.py | dangolbeeker/paradox | train | 1 |
7f57142e31d183769fe08e09ade90cea2da182c4 | [
"n = len(s)\n\ndef backtrack(st=0):\n if st > n:\n return True\n for i in range(st + 1, n + 2):\n if s[st:i] in wordDict:\n if backtrack(st=i) is True:\n return True\n return False\nreturn backtrack()",
"n = len(s)\nmemo = [None] * (n + 2)\n\ndef backtrack(st=0):\n... | <|body_start_0|>
n = len(s)
def backtrack(st=0):
if st > n:
return True
for i in range(st + 1, n + 2):
if s[st:i] in wordDict:
if backtrack(st=i) is True:
return True
return False
ret... | OfficialSolution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OfficialSolution:
def wordBreakApproach1(self, s: str, wordDict: List[str]) -> bool:
"""== Approach 1: Brute Force == == Algorithm == The naive approach to solve this problem is to use recursion and backtracking. For finding the solution, we check every possible prefix of that string in ... | stack_v2_sparse_classes_75kplus_train_066155 | 2,838 | no_license | [
{
"docstring": "== Approach 1: Brute Force == == Algorithm == The naive approach to solve this problem is to use recursion and backtracking. For finding the solution, we check every possible prefix of that string in the dictionary of words. If it is found in the dictionary, then the recursive function is called... | 2 | stack_v2_sparse_classes_30k_train_043970 | Implement the Python class `OfficialSolution` described below.
Class description:
Implement the OfficialSolution class.
Method signatures and docstrings:
- def wordBreakApproach1(self, s: str, wordDict: List[str]) -> bool: == Approach 1: Brute Force == == Algorithm == The naive approach to solve this problem is to us... | Implement the Python class `OfficialSolution` described below.
Class description:
Implement the OfficialSolution class.
Method signatures and docstrings:
- def wordBreakApproach1(self, s: str, wordDict: List[str]) -> bool: == Approach 1: Brute Force == == Algorithm == The naive approach to solve this problem is to us... | 221f0cb3105e4ccaec40cd1d37b9d7d5e218c731 | <|skeleton|>
class OfficialSolution:
def wordBreakApproach1(self, s: str, wordDict: List[str]) -> bool:
"""== Approach 1: Brute Force == == Algorithm == The naive approach to solve this problem is to use recursion and backtracking. For finding the solution, we check every possible prefix of that string in ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OfficialSolution:
def wordBreakApproach1(self, s: str, wordDict: List[str]) -> bool:
"""== Approach 1: Brute Force == == Algorithm == The naive approach to solve this problem is to use recursion and backtracking. For finding the solution, we check every possible prefix of that string in the dictionary... | the_stack_v2_python_sparse | problems/word_break.py | saubhik/leetcode | train | 3 | |
35ebd862f2db95944c1c51cd8d63e4d17570b69e | [
"assert query_batch_cnt.is_contiguous()\nassert key_batch_cnt.is_contiguous()\nassert index_pair_batch.is_contiguous()\nassert index_pair.is_contiguous()\nassert attn_weight.is_contiguous()\nassert value_features.is_contiguous()\nb = query_batch_cnt.shape[0]\ntotal_query_num, local_size = index_pair.size()\ntotal_k... | <|body_start_0|>
assert query_batch_cnt.is_contiguous()
assert key_batch_cnt.is_contiguous()
assert index_pair_batch.is_contiguous()
assert index_pair.is_contiguous()
assert attn_weight.is_contiguous()
assert value_features.is_contiguous()
b = query_batch_cnt.shap... | Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim) | AttentionValueComputation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttentionValueComputation:
"""Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim... | stack_v2_sparse_classes_75kplus_train_066156 | 8,019 | no_license | [
{
"docstring": ":param ctx: :param query_batch_cnt: A integer tensor with shape [bs], indicating the query amount for each batch. :param key_batch_cnt: A integer tensor with shape [bs], indicating the key amount of each batch. :param index_pair_batch: A integer tensor with shape [total_query_num], indicating th... | 2 | stack_v2_sparse_classes_30k_train_047540 | Implement the Python class `AttentionValueComputation` described below.
Class description:
Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention ... | Implement the Python class `AttentionValueComputation` described below.
Class description:
Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention ... | bbc78ca91e851f0f04459b1a8bbe96ab44bf41bc | <|skeleton|>
class AttentionValueComputation:
"""Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AttentionValueComputation:
"""Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim)"""
def... | the_stack_v2_python_sparse | EQNet/eqnet/ops/attention/attention_utils_v2.py | dvlab-research/DeepVision3D | train | 94 |
6f9e1a91e170b2ce6bd3f4b5d92ea9e84f89396a | [
"value = 0\nself.alist = []\nfor v in nums:\n value += v\n self.alist.append(value)",
"if i == 0:\n return self.alist[j]\nreturn self.alist[j] - self.alist[i - 1]"
] | <|body_start_0|>
value = 0
self.alist = []
for v in nums:
value += v
self.alist.append(value)
<|end_body_0|>
<|body_start_1|>
if i == 0:
return self.alist[j]
return self.alist[j] - self.alist[i - 1]
<|end_body_1|>
| NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
"""initialize your data structure here. :type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
"""sum of elements nums[i..j], inclusive. :type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_75kplus_train_066157 | 855 | no_license | [
{
"docstring": "initialize your data structure here. :type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": "sum of elements nums[i..j], inclusive. :type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, ... | 2 | null | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): initialize your data structure here. :type nums: List[int]
- def sumRange(self, i, j): sum of elements nums[i..j], inclusive. :type i: int :type j: int ... | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): initialize your data structure here. :type nums: List[int]
- def sumRange(self, i, j): sum of elements nums[i..j], inclusive. :type i: int :type j: int ... | 4be02e380ed1c761d54e27e1c56fbadc4f3d70c3 | <|skeleton|>
class NumArray:
def __init__(self, nums):
"""initialize your data structure here. :type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
"""sum of elements nums[i..j], inclusive. :type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
"""initialize your data structure here. :type nums: List[int]"""
value = 0
self.alist = []
for v in nums:
value += v
self.alist.append(value)
def sumRange(self, i, j):
"""sum of elements nums[i..j], inclus... | the_stack_v2_python_sparse | 303-Range Sum Query - Immutable.py | ymcdull/Leetcode-Solution | train | 0 | |
97dc5441dcf3a9b439a15a6f5d3b37ead429fec4 | [
"\"\"\" User cannot attend events if they are not logged in \"\"\"\nif not self.request.user.is_authenticated:\n return queryset.none()\nuser_attendees = Attendee.objects.filter(user=self.request.user)\nattending_events = [attendee.event.pk for attendee in user_attendees]\nif value:\n return queryset.filter(p... | <|body_start_0|>
""" User cannot attend events if they are not logged in """
if not self.request.user.is_authenticated:
return queryset.none()
user_attendees = Attendee.objects.filter(user=self.request.user)
attending_events = [attendee.event.pk for attendee in user_attendees... | EventDateFilter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventDateFilter:
def filter_is_attendee(self, queryset, name, value):
"""Filter events based on if a user is attending them or not."""
<|body_0|>
def filter_can_change(self, queryset, name, value):
"""Filter events based on if the user has permission to change them""... | stack_v2_sparse_classes_75kplus_train_066158 | 2,500 | permissive | [
{
"docstring": "Filter events based on if a user is attending them or not.",
"name": "filter_is_attendee",
"signature": "def filter_is_attendee(self, queryset, name, value)"
},
{
"docstring": "Filter events based on if the user has permission to change them",
"name": "filter_can_change",
... | 2 | stack_v2_sparse_classes_30k_train_013683 | Implement the Python class `EventDateFilter` described below.
Class description:
Implement the EventDateFilter class.
Method signatures and docstrings:
- def filter_is_attendee(self, queryset, name, value): Filter events based on if a user is attending them or not.
- def filter_can_change(self, queryset, name, value)... | Implement the Python class `EventDateFilter` described below.
Class description:
Implement the EventDateFilter class.
Method signatures and docstrings:
- def filter_is_attendee(self, queryset, name, value): Filter events based on if a user is attending them or not.
- def filter_can_change(self, queryset, name, value)... | 6f4aca2a4522698366ecdc6ab63c807ce5df2a96 | <|skeleton|>
class EventDateFilter:
def filter_is_attendee(self, queryset, name, value):
"""Filter events based on if a user is attending them or not."""
<|body_0|>
def filter_can_change(self, queryset, name, value):
"""Filter events based on if the user has permission to change them""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EventDateFilter:
def filter_is_attendee(self, queryset, name, value):
"""Filter events based on if a user is attending them or not."""
""" User cannot attend events if they are not logged in """
if not self.request.user.is_authenticated:
return queryset.none()
user_... | the_stack_v2_python_sparse | apps/events/filters.py | emilps/onlineweb4 | train | 0 | |
71672e0e28716c9e616da4d1ca891c617c1b0c16 | [
"response = self.client.get('/2014/12/')\nself.assertEqual(response.status_code, 200)\nself.assertContains(response, 'No post')\nself.assertQuerysetEqual(response.context['post_list'], [])",
"create_post(title='first post', slug='first-post', content='test content', publish_time='2014-12-15 08:01:02')\nresponse =... | <|body_start_0|>
response = self.client.get('/2014/12/')
self.assertEqual(response.status_code, 200)
self.assertContains(response, 'No post')
self.assertQuerysetEqual(response.context['post_list'], [])
<|end_body_0|>
<|body_start_1|>
create_post(title='first post', slug='first-p... | ArchiveListTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArchiveListTests:
def test_archive_view_with_no_post(self):
"""Test with not post"""
<|body_0|>
def test_archive_view_with_one_post(self):
"""Test with one post"""
<|body_1|>
def test_archive_view_with_two_post(self):
"""Test with two post"""
... | stack_v2_sparse_classes_75kplus_train_066159 | 9,880 | no_license | [
{
"docstring": "Test with not post",
"name": "test_archive_view_with_no_post",
"signature": "def test_archive_view_with_no_post(self)"
},
{
"docstring": "Test with one post",
"name": "test_archive_view_with_one_post",
"signature": "def test_archive_view_with_one_post(self)"
},
{
... | 3 | null | Implement the Python class `ArchiveListTests` described below.
Class description:
Implement the ArchiveListTests class.
Method signatures and docstrings:
- def test_archive_view_with_no_post(self): Test with not post
- def test_archive_view_with_one_post(self): Test with one post
- def test_archive_view_with_two_post... | Implement the Python class `ArchiveListTests` described below.
Class description:
Implement the ArchiveListTests class.
Method signatures and docstrings:
- def test_archive_view_with_no_post(self): Test with not post
- def test_archive_view_with_one_post(self): Test with one post
- def test_archive_view_with_two_post... | d3b62c9a2ca5a50b62f9a1f0385bfc11b2234bac | <|skeleton|>
class ArchiveListTests:
def test_archive_view_with_no_post(self):
"""Test with not post"""
<|body_0|>
def test_archive_view_with_one_post(self):
"""Test with one post"""
<|body_1|>
def test_archive_view_with_two_post(self):
"""Test with two post"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArchiveListTests:
def test_archive_view_with_no_post(self):
"""Test with not post"""
response = self.client.get('/2014/12/')
self.assertEqual(response.status_code, 200)
self.assertContains(response, 'No post')
self.assertQuerysetEqual(response.context['post_list'], [])
... | the_stack_v2_python_sparse | blog/tests.py | dengshilong/dengshilong | train | 3 | |
aa14fc261b54db9a2ab6cd09c586f1dece3d837a | [
"assert isinstance(fraction, float) and fraction > 0.0\nself.fraction = fraction\nsuper(SubsamplingStep, self).__init__(optimizer=optimizer, scope=scope, summary_labels=summary_labels)",
"arguments_iter = iter(arguments.values())\nsome_argument = next(arguments_iter)\ntry:\n while not isinstance(some_argument,... | <|body_start_0|>
assert isinstance(fraction, float) and fraction > 0.0
self.fraction = fraction
super(SubsamplingStep, self).__init__(optimizer=optimizer, scope=scope, summary_labels=summary_labels)
<|end_body_0|>
<|body_start_1|>
arguments_iter = iter(arguments.values())
some_a... | The subsampling-step meta optimizer randomly samples a subset of batch instances to calculate the optimization step of another optimizer. | SubsamplingStep | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubsamplingStep:
"""The subsampling-step meta optimizer randomly samples a subset of batch instances to calculate the optimization step of another optimizer."""
def __init__(self, optimizer, fraction=0.1, scope='subsampling-step', summary_labels=()):
"""Creates a new subsampling-step... | stack_v2_sparse_classes_75kplus_train_066160 | 4,026 | permissive | [
{
"docstring": "Creates a new subsampling-step meta optimizer instance. Args: optimizer: The optimizer which is modified by this meta optimizer. fraction: The fraction of instances of the batch to subsample.",
"name": "__init__",
"signature": "def __init__(self, optimizer, fraction=0.1, scope='subsampli... | 2 | stack_v2_sparse_classes_30k_train_035378 | Implement the Python class `SubsamplingStep` described below.
Class description:
The subsampling-step meta optimizer randomly samples a subset of batch instances to calculate the optimization step of another optimizer.
Method signatures and docstrings:
- def __init__(self, optimizer, fraction=0.1, scope='subsampling-... | Implement the Python class `SubsamplingStep` described below.
Class description:
The subsampling-step meta optimizer randomly samples a subset of batch instances to calculate the optimization step of another optimizer.
Method signatures and docstrings:
- def __init__(self, optimizer, fraction=0.1, scope='subsampling-... | afd56f7dc73cb7f21b4ea9b7a3cd85a1c3e5eeec | <|skeleton|>
class SubsamplingStep:
"""The subsampling-step meta optimizer randomly samples a subset of batch instances to calculate the optimization step of another optimizer."""
def __init__(self, optimizer, fraction=0.1, scope='subsampling-step', summary_labels=()):
"""Creates a new subsampling-step... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubsamplingStep:
"""The subsampling-step meta optimizer randomly samples a subset of batch instances to calculate the optimization step of another optimizer."""
def __init__(self, optimizer, fraction=0.1, scope='subsampling-step', summary_labels=()):
"""Creates a new subsampling-step meta optimiz... | the_stack_v2_python_sparse | tensorforce/core/optimizers/subsampling_step.py | miskolc/tensorforce | train | 1 |
c62c2f563f3c36428319d5c13bb0644237e3ebd4 | [
"super(LoopyBeliefUpdateInference, self).__init__(model)\nself._update_order = update_order\nself._damping = damping\nself._callback = callback",
"old_separator = self._separator_potential[edge]\nvariables_to_keep = old_separator.variable_set\nbelief0 = self.beliefs[edge[0]]\nbelief1 = self.beliefs[edge[1]]\nnew_... | <|body_start_0|>
super(LoopyBeliefUpdateInference, self).__init__(model)
self._update_order = update_order
self._damping = damping
self._callback = callback
<|end_body_0|>
<|body_start_1|>
old_separator = self._separator_potential[edge]
variables_to_keep = old_separator.... | An inference object to calibrate the potentials. | LoopyBeliefUpdateInference | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoopyBeliefUpdateInference:
"""An inference object to calibrate the potentials."""
def __init__(self, model, update_order=None, damping=0.0, callback=None):
"""Constructor. :param model: The model. :param update_order: A message update protocol. If `None`, `FloodingProtocol` is used.... | stack_v2_sparse_classes_75kplus_train_066161 | 18,882 | permissive | [
{
"docstring": "Constructor. :param model: The model. :param update_order: A message update protocol. If `None`, `FloodingProtocol` is used. :param damping: The damping to use on each iteration. :param callback: A function to call with (the inference object, update order object) as parameters whenever the updat... | 3 | stack_v2_sparse_classes_30k_train_025523 | Implement the Python class `LoopyBeliefUpdateInference` described below.
Class description:
An inference object to calibrate the potentials.
Method signatures and docstrings:
- def __init__(self, model, update_order=None, damping=0.0, callback=None): Constructor. :param model: The model. :param update_order: A messag... | Implement the Python class `LoopyBeliefUpdateInference` described below.
Class description:
An inference object to calibrate the potentials.
Method signatures and docstrings:
- def __init__(self, model, update_order=None, damping=0.0, callback=None): Constructor. :param model: The model. :param update_order: A messag... | 445b2cf8736a4a28cff2b074a32afe8fe6986d53 | <|skeleton|>
class LoopyBeliefUpdateInference:
"""An inference object to calibrate the potentials."""
def __init__(self, model, update_order=None, damping=0.0, callback=None):
"""Constructor. :param model: The model. :param update_order: A message update protocol. If `None`, `FloodingProtocol` is used.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoopyBeliefUpdateInference:
"""An inference object to calibrate the potentials."""
def __init__(self, model, update_order=None, damping=0.0, callback=None):
"""Constructor. :param model: The model. :param update_order: A message update protocol. If `None`, `FloodingProtocol` is used. :param dampi... | the_stack_v2_python_sparse | Statistical_methods/LoopyBeliefPropagation/pyugm/infer_message.py | WN1695173791/Background-Subtraction-Unsupervised-Learning | train | 1 |
10618d8a39ddf338bb856a86dfe491a24df399fb | [
"super(LocationReader, self).__init__(*args, **kwargs)\nself.location_indexes = []\nself.chromosome_list = []\nif 'chromosome_list' in kwargs.keys():\n self.chromosome_list = kwargs['chromosome_list']\nself.labels = [None, None, None]\nif 'label_chr' in kwargs.keys():\n self.labels[0] = kwargs['label_chr']\ni... | <|body_start_0|>
super(LocationReader, self).__init__(*args, **kwargs)
self.location_indexes = []
self.chromosome_list = []
if 'chromosome_list' in kwargs.keys():
self.chromosome_list = kwargs['chromosome_list']
self.labels = [None, None, None]
if 'label_chr' ... | LocationReader adds location data to a header. Wraps a table object associate a Location to the values. | LocationReader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocationReader:
"""LocationReader adds location data to a header. Wraps a table object associate a Location to the values."""
def __init__(self, *args, **kwargs):
"""__init__ creates a new LocationParser."""
<|body_0|>
def next(self):
"""Return the next element."... | stack_v2_sparse_classes_75kplus_train_066162 | 5,320 | permissive | [
{
"docstring": "__init__ creates a new LocationParser.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Return the next element.",
"name": "next",
"signature": "def next(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000839 | Implement the Python class `LocationReader` described below.
Class description:
LocationReader adds location data to a header. Wraps a table object associate a Location to the values.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): __init__ creates a new LocationParser.
- def next(self): Retu... | Implement the Python class `LocationReader` described below.
Class description:
LocationReader adds location data to a header. Wraps a table object associate a Location to the values.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): __init__ creates a new LocationParser.
- def next(self): Retu... | bbf7ca288d798d8f1c6156ddf45fed31892bd557 | <|skeleton|>
class LocationReader:
"""LocationReader adds location data to a header. Wraps a table object associate a Location to the values."""
def __init__(self, *args, **kwargs):
"""__init__ creates a new LocationParser."""
<|body_0|>
def next(self):
"""Return the next element."... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LocationReader:
"""LocationReader adds location data to a header. Wraps a table object associate a Location to the values."""
def __init__(self, *args, **kwargs):
"""__init__ creates a new LocationParser."""
super(LocationReader, self).__init__(*args, **kwargs)
self.location_index... | the_stack_v2_python_sparse | table/Location/reader.py | DenverN3/Nimbus | train | 0 |
88f7a4cb5d9b595d2dd4dc809c66f9a96c2c6041 | [
"gemGenericTree.__init__(self, name=treeName, description=description)\nself.dacValX = array('f', [0])\nself.gemTree.Branch('dacValX', self.dacValX, 'dacValX/F')\nself.nameX = r.vector('string')()\nself.nameX.push_back(nameX)\nself.gemTree.Branch('nameX', self.nameX)\nself.rate = array('d', [0.0])\nself.gemTree.Bra... | <|body_start_0|>
gemGenericTree.__init__(self, name=treeName, description=description)
self.dacValX = array('f', [0])
self.gemTree.Branch('dacValX', self.dacValX, 'dacValX/F')
self.nameX = r.vector('string')()
self.nameX.push_back(nameX)
self.gemTree.Branch('nameX', self.... | gemSbitRateTreeStructure | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class gemSbitRateTreeStructure:
def __init__(self, nameX, treeName='rateTree', description='Generic GEM Tree for measuring SBIT Rate vs. Arbitrary Registers'):
"""nameX Name of the register being scanned against, e.g. 'CFG_THR_ARM_DAC' treeName TName of the TTree description Phrase describing ... | stack_v2_sparse_classes_75kplus_train_066163 | 19,956 | permissive | [
{
"docstring": "nameX Name of the register being scanned against, e.g. 'CFG_THR_ARM_DAC' treeName TName of the TTree description Phrase describing the TTree",
"name": "__init__",
"signature": "def __init__(self, nameX, treeName='rateTree', description='Generic GEM Tree for measuring SBIT Rate vs. Arbitr... | 2 | stack_v2_sparse_classes_30k_train_048690 | Implement the Python class `gemSbitRateTreeStructure` described below.
Class description:
Implement the gemSbitRateTreeStructure class.
Method signatures and docstrings:
- def __init__(self, nameX, treeName='rateTree', description='Generic GEM Tree for measuring SBIT Rate vs. Arbitrary Registers'): nameX Name of the ... | Implement the Python class `gemSbitRateTreeStructure` described below.
Class description:
Implement the gemSbitRateTreeStructure class.
Method signatures and docstrings:
- def __init__(self, nameX, treeName='rateTree', description='Generic GEM Tree for measuring SBIT Rate vs. Arbitrary Registers'): nameX Name of the ... | 6259740f3deb6c11123b6c6d9c70f3a6c58abe59 | <|skeleton|>
class gemSbitRateTreeStructure:
def __init__(self, nameX, treeName='rateTree', description='Generic GEM Tree for measuring SBIT Rate vs. Arbitrary Registers'):
"""nameX Name of the register being scanned against, e.g. 'CFG_THR_ARM_DAC' treeName TName of the TTree description Phrase describing ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class gemSbitRateTreeStructure:
def __init__(self, nameX, treeName='rateTree', description='Generic GEM Tree for measuring SBIT Rate vs. Arbitrary Registers'):
"""nameX Name of the register being scanned against, e.g. 'CFG_THR_ARM_DAC' treeName TName of the TTree description Phrase describing the TTree"""
... | the_stack_v2_python_sparse | utils/treeStructure.py | cms-gem-daq-project/vfatqc-python-scripts | train | 1 | |
c87ba6ad7088bdda68e193c1a19e0d1d1ea3d5c4 | [
"logger.info('Overriding class: Optimizer -> GWO.')\nsuper(GWO, self).__init__()\nself.build(params)\nlogger.info('Class overrided.')",
"r1 = r.generate_uniform_random_number()\nr2 = r.generate_uniform_random_number()\nA = 2 * a * r1 - a\nC = 2 * r2\nreturn (A, C)",
"space.agents.sort(key=lambda x: x.fit)\nalph... | <|body_start_0|>
logger.info('Overriding class: Optimizer -> GWO.')
super(GWO, self).__init__()
self.build(params)
logger.info('Class overrided.')
<|end_body_0|>
<|body_start_1|>
r1 = r.generate_uniform_random_number()
r2 = r.generate_uniform_random_number()
A = ... | A GWO class, inherited from Optimizer. This is the designed class to define GWO-related variables and methods. References: S. Mirjalili, S. Mirjalili and A. Lewis. Grey Wolf Optimizer. Advances in Engineering Software (2014). | GWO | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GWO:
"""A GWO class, inherited from Optimizer. This is the designed class to define GWO-related variables and methods. References: S. Mirjalili, S. Mirjalili and A. Lewis. Grey Wolf Optimizer. Advances in Engineering Software (2014)."""
def __init__(self, params=None):
"""Initializat... | stack_v2_sparse_classes_75kplus_train_066164 | 3,452 | permissive | [
{
"docstring": "Initialization method. Args: params (dict): Contains key-value parameters to the meta-heuristics.",
"name": "__init__",
"signature": "def __init__(self, params=None)"
},
{
"docstring": "Calculates the mathematical coefficients. Args: a (float): Linear constant. Returns: Both `A` ... | 3 | stack_v2_sparse_classes_30k_train_007165 | Implement the Python class `GWO` described below.
Class description:
A GWO class, inherited from Optimizer. This is the designed class to define GWO-related variables and methods. References: S. Mirjalili, S. Mirjalili and A. Lewis. Grey Wolf Optimizer. Advances in Engineering Software (2014).
Method signatures and d... | Implement the Python class `GWO` described below.
Class description:
A GWO class, inherited from Optimizer. This is the designed class to define GWO-related variables and methods. References: S. Mirjalili, S. Mirjalili and A. Lewis. Grey Wolf Optimizer. Advances in Engineering Software (2014).
Method signatures and d... | 09e5485b9e30eca622ad404e85c22de0c42c8abd | <|skeleton|>
class GWO:
"""A GWO class, inherited from Optimizer. This is the designed class to define GWO-related variables and methods. References: S. Mirjalili, S. Mirjalili and A. Lewis. Grey Wolf Optimizer. Advances in Engineering Software (2014)."""
def __init__(self, params=None):
"""Initializat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GWO:
"""A GWO class, inherited from Optimizer. This is the designed class to define GWO-related variables and methods. References: S. Mirjalili, S. Mirjalili and A. Lewis. Grey Wolf Optimizer. Advances in Engineering Software (2014)."""
def __init__(self, params=None):
"""Initialization method. A... | the_stack_v2_python_sparse | opytimizer/optimizers/population/gwo.py | himanshuRepo/opytimizer | train | 0 |
77bb74909fd0bd4be3d2549aa6d416b55afd0a83 | [
"try:\n token = get_source_token(request)\n data = get_process_info_data('downloads', ticket_number)\n process_token_validation(hash_tokens(token), data, 'presqt-source-token')\nexcept PresQTValidationError as e:\n return Response(data={'error': e.data}, status=e.status_code)\nif response_format and res... | <|body_start_0|>
try:
token = get_source_token(request)
data = get_process_info_data('downloads', ticket_number)
process_token_validation(hash_tokens(token), data, 'presqt-source-token')
except PresQTValidationError as e:
return Response(data={'error': e.d... | **Supported HTTP Methods** * GET: - Check if a resource download is finished on the server matching the ticket number. If the download is pending, failed, or the response_format is 'json' then return a JSON representation of the state. Otherwise return the file contents. * PATCH: - Cancel the resource download process ... | DownloadJob | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DownloadJob:
"""**Supported HTTP Methods** * GET: - Check if a resource download is finished on the server matching the ticket number. If the download is pending, failed, or the response_format is 'json' then return a JSON representation of the state. Otherwise return the file contents. * PATCH: ... | stack_v2_sparse_classes_75kplus_train_066165 | 8,223 | permissive | [
{
"docstring": "Check in on the resource's download process state. Parameters ---------- ticket_number : str The ticket number of the download being prepared. response_format: str The type of response to return. Either json or zip Returns ------- 200: OK Returns the zip of resources to be downloaded. or { \"sta... | 2 | stack_v2_sparse_classes_30k_train_021603 | Implement the Python class `DownloadJob` described below.
Class description:
**Supported HTTP Methods** * GET: - Check if a resource download is finished on the server matching the ticket number. If the download is pending, failed, or the response_format is 'json' then return a JSON representation of the state. Otherw... | Implement the Python class `DownloadJob` described below.
Class description:
**Supported HTTP Methods** * GET: - Check if a resource download is finished on the server matching the ticket number. If the download is pending, failed, or the response_format is 'json' then return a JSON representation of the state. Otherw... | b920527bf8998696f516d65a50f0a5c3862c4558 | <|skeleton|>
class DownloadJob:
"""**Supported HTTP Methods** * GET: - Check if a resource download is finished on the server matching the ticket number. If the download is pending, failed, or the response_format is 'json' then return a JSON representation of the state. Otherwise return the file contents. * PATCH: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DownloadJob:
"""**Supported HTTP Methods** * GET: - Check if a resource download is finished on the server matching the ticket number. If the download is pending, failed, or the response_format is 'json' then return a JSON representation of the state. Otherwise return the file contents. * PATCH: - Cancel the ... | the_stack_v2_python_sparse | presqt/api_v1/views/download/download_job.py | craig-willis/presqt | train | 0 |
720028f5b2238451a7b85a406bc48c94fc0c7aa0 | [
"super(LSTMAttention, self).__init__()\nself.input_size = input_size\nself.hidden_size = hidden_size\nself.batch_first = batch_first\nself.lstm_cell = nn.LSTMCell(input_size, hidden_size)\nif attn_type == 'soft':\n self.attention_layer = SoftDotAttention(hidden_size)\nelif attn_type == 'mlp':\n self.attention... | <|body_start_0|>
super(LSTMAttention, self).__init__()
self.input_size = input_size
self.hidden_size = hidden_size
self.batch_first = batch_first
self.lstm_cell = nn.LSTMCell(input_size, hidden_size)
if attn_type == 'soft':
self.attention_layer = SoftDotAttent... | A long short-term memory (LSTM) cell with attention. | LSTMAttention | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTMAttention:
"""A long short-term memory (LSTM) cell with attention."""
def __init__(self, input_size, hidden_size, batch_first=True, attn_type='soft'):
"""Initialize params."""
<|body_0|>
def forward(self, input, hidden, ctx, ctx_mask=None):
"""Propogate input... | stack_v2_sparse_classes_75kplus_train_066166 | 23,258 | permissive | [
{
"docstring": "Initialize params.",
"name": "__init__",
"signature": "def __init__(self, input_size, hidden_size, batch_first=True, attn_type='soft')"
},
{
"docstring": "Propogate input through the network.",
"name": "forward",
"signature": "def forward(self, input, hidden, ctx, ctx_mas... | 2 | stack_v2_sparse_classes_30k_train_049868 | Implement the Python class `LSTMAttention` described below.
Class description:
A long short-term memory (LSTM) cell with attention.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, batch_first=True, attn_type='soft'): Initialize params.
- def forward(self, input, hidden, ctx, ctx_mask=N... | Implement the Python class `LSTMAttention` described below.
Class description:
A long short-term memory (LSTM) cell with attention.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, batch_first=True, attn_type='soft'): Initialize params.
- def forward(self, input, hidden, ctx, ctx_mask=N... | 37e04d08f47d64dd2cf6bb280c26fb5887c91686 | <|skeleton|>
class LSTMAttention:
"""A long short-term memory (LSTM) cell with attention."""
def __init__(self, input_size, hidden_size, batch_first=True, attn_type='soft'):
"""Initialize params."""
<|body_0|>
def forward(self, input, hidden, ctx, ctx_mask=None):
"""Propogate input... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LSTMAttention:
"""A long short-term memory (LSTM) cell with attention."""
def __init__(self, input_size, hidden_size, batch_first=True, attn_type='soft'):
"""Initialize params."""
super(LSTMAttention, self).__init__()
self.input_size = input_size
self.hidden_size = hidden_... | the_stack_v2_python_sparse | trankit/layers/seq2seq.py | nlp-uoregon/trankit | train | 731 |
7b6a5b759b27157c47385b419291b0d40a151db4 | [
"gid = request.GET.get('gid', None)\ng = Group.objects.get(pk=gid)\ng_obj = g.user_set.all()\nreturn render(request, 'users/group/group_user.html', {'group_user': g_obj, 'g': g})",
"ret = {'status': 0}\nuid = QueryDict(request.body).get('uid', None)\ngid = QueryDict(request.body).get('gid', None)\ntry:\n user_... | <|body_start_0|>
gid = request.GET.get('gid', None)
g = Group.objects.get(pk=gid)
g_obj = g.user_set.all()
return render(request, 'users/group/group_user.html', {'group_user': g_obj, 'g': g})
<|end_body_0|>
<|body_start_1|>
ret = {'status': 0}
uid = QueryDict(request.bod... | GroupGrouplistView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GroupGrouplistView:
def get(self, request):
"""展示用户组内成员"""
<|body_0|>
def delete(self, request):
"""删除组内成员"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
gid = request.GET.get('gid', None)
g = Group.objects.get(pk=gid)
g_obj = g.use... | stack_v2_sparse_classes_75kplus_train_066167 | 12,839 | no_license | [
{
"docstring": "展示用户组内成员",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "删除组内成员",
"name": "delete",
"signature": "def delete(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_053097 | Implement the Python class `GroupGrouplistView` described below.
Class description:
Implement the GroupGrouplistView class.
Method signatures and docstrings:
- def get(self, request): 展示用户组内成员
- def delete(self, request): 删除组内成员 | Implement the Python class `GroupGrouplistView` described below.
Class description:
Implement the GroupGrouplistView class.
Method signatures and docstrings:
- def get(self, request): 展示用户组内成员
- def delete(self, request): 删除组内成员
<|skeleton|>
class GroupGrouplistView:
def get(self, request):
"""展示用户组内成员"... | fc565af20312410214dec638e85fc35fc85eef2d | <|skeleton|>
class GroupGrouplistView:
def get(self, request):
"""展示用户组内成员"""
<|body_0|>
def delete(self, request):
"""删除组内成员"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GroupGrouplistView:
def get(self, request):
"""展示用户组内成员"""
gid = request.GET.get('gid', None)
g = Group.objects.get(pk=gid)
g_obj = g.user_set.all()
return render(request, 'users/group/group_user.html', {'group_user': g_obj, 'g': g})
def delete(self, request):
... | the_stack_v2_python_sparse | accounts/views.py | xiaoyaolaotou/Devops | train | 6 | |
c3fd98ca23fccea5c87d78b8c5c1aa2b36d57dde | [
"self.long = long * CSTE_DEG_RAD\nself.cola = cola * CSTE_DEG_RAD\nself.x = RAYON_PLANETE * sin(self.cola) * cos(self.long)\nself.y = RAYON_PLANETE * sin(self.cola) * sin(self.long)\nself.z = RAYON_PLANETE * cos(self.cola)",
"x_dist = self.x - sat.x\ny_dist = self.y - sat.y\nz_dist = self.z - sat.z\nreturn hypot3... | <|body_start_0|>
self.long = long * CSTE_DEG_RAD
self.cola = cola * CSTE_DEG_RAD
self.x = RAYON_PLANETE * sin(self.cola) * cos(self.long)
self.y = RAYON_PLANETE * sin(self.cola) * sin(self.long)
self.z = RAYON_PLANETE * cos(self.cola)
<|end_body_0|>
<|body_start_1|>
x_di... | Point | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Point:
def __init__(self, cola, long):
"""Initialise un point (en fonction des paramètres donnés)"""
<|body_0|>
def distance(self, sat):
"""Retourne le distance entre le ppoint et le satellite"""
<|body_1|>
def detecté(self, satellites):
"""Dit s... | stack_v2_sparse_classes_75kplus_train_066168 | 4,825 | no_license | [
{
"docstring": "Initialise un point (en fonction des paramètres donnés)",
"name": "__init__",
"signature": "def __init__(self, cola, long)"
},
{
"docstring": "Retourne le distance entre le ppoint et le satellite",
"name": "distance",
"signature": "def distance(self, sat)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_041050 | Implement the Python class `Point` described below.
Class description:
Implement the Point class.
Method signatures and docstrings:
- def __init__(self, cola, long): Initialise un point (en fonction des paramètres donnés)
- def distance(self, sat): Retourne le distance entre le ppoint et le satellite
- def detecté(se... | Implement the Python class `Point` described below.
Class description:
Implement the Point class.
Method signatures and docstrings:
- def __init__(self, cola, long): Initialise un point (en fonction des paramètres donnés)
- def distance(self, sat): Retourne le distance entre le ppoint et le satellite
- def detecté(se... | bb90efcbb3383a5168d77809bc8b05e790dedece | <|skeleton|>
class Point:
def __init__(self, cola, long):
"""Initialise un point (en fonction des paramètres donnés)"""
<|body_0|>
def distance(self, sat):
"""Retourne le distance entre le ppoint et le satellite"""
<|body_1|>
def detecté(self, satellites):
"""Dit s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Point:
def __init__(self, cola, long):
"""Initialise un point (en fonction des paramètres donnés)"""
self.long = long * CSTE_DEG_RAD
self.cola = cola * CSTE_DEG_RAD
self.x = RAYON_PLANETE * sin(self.cola) * cos(self.long)
self.y = RAYON_PLANETE * sin(self.cola) * sin(se... | the_stack_v2_python_sparse | Python/TIPE/TIPE v.SPE.2.0.py | Solenoide420/Projects | train | 0 | |
85c92667f174749c2d68e710f2fce59dc1338007 | [
"self.plugin = OpticalFlow(iterations=20)\nself.plugin.boxsize = 3\nself.smoothing_kernel = 3\nrainfall_block = np.array([[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [1.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0], [1.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0], [1.0, 1.0... | <|body_start_0|>
self.plugin = OpticalFlow(iterations=20)
self.plugin.boxsize = 3
self.smoothing_kernel = 3
rainfall_block = np.array([[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [1.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0], [1.0,... | Test the process_dimensionless method | Test_process_dimensionless | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_process_dimensionless:
"""Test the process_dimensionless method"""
def setUp(self):
"""Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sensibly."""
<|bod... | stack_v2_sparse_classes_75kplus_train_066169 | 37,677 | permissive | [
{
"docstring": "Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sensibly.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test outputs are of the correct typ... | 3 | null | Implement the Python class `Test_process_dimensionless` described below.
Class description:
Test the process_dimensionless method
Method signatures and docstrings:
- def setUp(self): Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the ... | Implement the Python class `Test_process_dimensionless` described below.
Class description:
Test the process_dimensionless method
Method signatures and docstrings:
- def setUp(self): Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the ... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_process_dimensionless:
"""Test the process_dimensionless method"""
def setUp(self):
"""Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sensibly."""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test_process_dimensionless:
"""Test the process_dimensionless method"""
def setUp(self):
"""Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sensibly."""
self.plugin = Opti... | the_stack_v2_python_sparse | improver_tests/nowcasting/optical_flow/test_OpticalFlow.py | metoppv/improver | train | 101 |
cfb257a209e5983c57a763ba7e8263885234e9df | [
"messenger = kwargs['messenger']\nuser = kwargs['user']\nis_online = messenger.is_user_online(user)\nself.response({'online': is_online}, 200)",
"messenger = kwargs['messenger']\nuser = kwargs['user']\ncount = messenger.send_to_user(user, self.request.body)\nself.response({'count': count})\nlogger.debug('Message ... | <|body_start_0|>
messenger = kwargs['messenger']
user = kwargs['user']
is_online = messenger.is_user_online(user)
self.response({'online': is_online}, 200)
<|end_body_0|>
<|body_start_1|>
messenger = kwargs['messenger']
user = kwargs['user']
count = messenger.sen... | UserHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserHandler:
def get(self, *args, **kwargs):
"""Retrieves the number of users online."""
<|body_0|>
def post(self, *args, **kwargs):
"""Sends a message to a user."""
<|body_1|>
def delete(self, *args, **kwargs):
"""Forces logout of a user."""
... | stack_v2_sparse_classes_75kplus_train_066170 | 31,754 | no_license | [
{
"docstring": "Retrieves the number of users online.",
"name": "get",
"signature": "def get(self, *args, **kwargs)"
},
{
"docstring": "Sends a message to a user.",
"name": "post",
"signature": "def post(self, *args, **kwargs)"
},
{
"docstring": "Forces logout of a user.",
"n... | 3 | null | Implement the Python class `UserHandler` described below.
Class description:
Implement the UserHandler class.
Method signatures and docstrings:
- def get(self, *args, **kwargs): Retrieves the number of users online.
- def post(self, *args, **kwargs): Sends a message to a user.
- def delete(self, *args, **kwargs): For... | Implement the Python class `UserHandler` described below.
Class description:
Implement the UserHandler class.
Method signatures and docstrings:
- def get(self, *args, **kwargs): Retrieves the number of users online.
- def post(self, *args, **kwargs): Sends a message to a user.
- def delete(self, *args, **kwargs): For... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class UserHandler:
def get(self, *args, **kwargs):
"""Retrieves the number of users online."""
<|body_0|>
def post(self, *args, **kwargs):
"""Sends a message to a user."""
<|body_1|>
def delete(self, *args, **kwargs):
"""Forces logout of a user."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserHandler:
def get(self, *args, **kwargs):
"""Retrieves the number of users online."""
messenger = kwargs['messenger']
user = kwargs['user']
is_online = messenger.is_user_online(user)
self.response({'online': is_online}, 200)
def post(self, *args, **kwargs):
... | the_stack_v2_python_sparse | repoData/thunderpush-thunderpush/allPythonContent.py | aCoffeeYin/pyreco | train | 0 | |
a32e084117fb7e11b2c48299039cdee330adbd71 | [
"self.nom = nom\nself.intervalles = intervalles\nself.myScale = ()",
"for valeur in self.intervalles:\n if valeur == 2:\n print('1 ton')\n else:\n print('1/2 ton')",
"idx = notes.index(debut)\nfor valeur in self.intervalles:\n idx = idx + valeur\n idx = idx % 12\n self.myScale = sel... | <|body_start_0|>
self.nom = nom
self.intervalles = intervalles
self.myScale = ()
<|end_body_0|>
<|body_start_1|>
for valeur in self.intervalles:
if valeur == 2:
print('1 ton')
else:
print('1/2 ton')
<|end_body_1|>
<|body_start_2|>... | gamme | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class gamme:
def __init__(self, nom, intervalles):
"""Nom de la gamme, majeure, mineure, etc. et ces intervalles."""
<|body_0|>
def inter(self):
"""Affichage des intervalles"""
<|body_1|>
def tone(self, debut):
"""Construction de la gamme"""
<|... | stack_v2_sparse_classes_75kplus_train_066171 | 3,586 | no_license | [
{
"docstring": "Nom de la gamme, majeure, mineure, etc. et ces intervalles.",
"name": "__init__",
"signature": "def __init__(self, nom, intervalles)"
},
{
"docstring": "Affichage des intervalles",
"name": "inter",
"signature": "def inter(self)"
},
{
"docstring": "Construction de ... | 3 | stack_v2_sparse_classes_30k_train_010119 | Implement the Python class `gamme` described below.
Class description:
Implement the gamme class.
Method signatures and docstrings:
- def __init__(self, nom, intervalles): Nom de la gamme, majeure, mineure, etc. et ces intervalles.
- def inter(self): Affichage des intervalles
- def tone(self, debut): Construction de ... | Implement the Python class `gamme` described below.
Class description:
Implement the gamme class.
Method signatures and docstrings:
- def __init__(self, nom, intervalles): Nom de la gamme, majeure, mineure, etc. et ces intervalles.
- def inter(self): Affichage des intervalles
- def tone(self, debut): Construction de ... | 51620d80a53c8e47c1b3d9eb3e5422ae0649a867 | <|skeleton|>
class gamme:
def __init__(self, nom, intervalles):
"""Nom de la gamme, majeure, mineure, etc. et ces intervalles."""
<|body_0|>
def inter(self):
"""Affichage des intervalles"""
<|body_1|>
def tone(self, debut):
"""Construction de la gamme"""
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class gamme:
def __init__(self, nom, intervalles):
"""Nom de la gamme, majeure, mineure, etc. et ces intervalles."""
self.nom = nom
self.intervalles = intervalles
self.myScale = ()
def inter(self):
"""Affichage des intervalles"""
for valeur in self.intervalles:
... | the_stack_v2_python_sparse | guitar/gamme.py | parmentelat/moocpython | train | 17 | |
18a0223bd9bb75b7737e7b052e28ba1f4a9117d5 | [
"if params.get('alert_type'):\n if params['alert_type'] not in ['error', 'warning', 'info', 'success']:\n raise ApiError('Parameter alert_type must be either error, warning, info or success')\nreturn super(Event, cls).create(attach_host_name=attach_host_name, **params)",
"def timestamp_to_integer(k, v):... | <|body_start_0|>
if params.get('alert_type'):
if params['alert_type'] not in ['error', 'warning', 'info', 'success']:
raise ApiError('Parameter alert_type must be either error, warning, info or success')
return super(Event, cls).create(attach_host_name=attach_host_name, **par... | A wrapper around Event HTTP API. | Event | [
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Event:
"""A wrapper around Event HTTP API."""
def create(cls, attach_host_name=True, **params):
"""Post an event. :param title: title for the new event :type title: string :param text: event message :type text: string :param aggregation_key: key by which to group events in event stre... | stack_v2_sparse_classes_75kplus_train_066172 | 3,376 | permissive | [
{
"docstring": "Post an event. :param title: title for the new event :type title: string :param text: event message :type text: string :param aggregation_key: key by which to group events in event stream :type aggregation_key: string :param alert_type: \"error\", \"warning\", \"info\" or \"success\". :type aler... | 2 | stack_v2_sparse_classes_30k_train_024077 | Implement the Python class `Event` described below.
Class description:
A wrapper around Event HTTP API.
Method signatures and docstrings:
- def create(cls, attach_host_name=True, **params): Post an event. :param title: title for the new event :type title: string :param text: event message :type text: string :param ag... | Implement the Python class `Event` described below.
Class description:
A wrapper around Event HTTP API.
Method signatures and docstrings:
- def create(cls, attach_host_name=True, **params): Post an event. :param title: title for the new event :type title: string :param text: event message :type text: string :param ag... | 11a38d0c8d6b156758e7500500d706b7159d18ed | <|skeleton|>
class Event:
"""A wrapper around Event HTTP API."""
def create(cls, attach_host_name=True, **params):
"""Post an event. :param title: title for the new event :type title: string :param text: event message :type text: string :param aggregation_key: key by which to group events in event stre... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Event:
"""A wrapper around Event HTTP API."""
def create(cls, attach_host_name=True, **params):
"""Post an event. :param title: title for the new event :type title: string :param text: event message :type text: string :param aggregation_key: key by which to group events in event stream :type aggr... | the_stack_v2_python_sparse | datadog/api/events.py | DataDog/datadogpy | train | 602 |
318c2b630d4160945c7c93b5968e91e28e6a0e46 | [
"tmp = nums[:len(nums) - k]\nnums[:len(nums) - k] = []\nnums += tmp",
"tmp = nums[len(nums) - k:]\nnums[len(nums) - k:] = []\nnums[:0] = tmp",
"k %= len(nums)\ntmp = nums * 2\ndel nums[:]\nnums[:] = tmp[len(nums) - k:2 * len(nums) - k]",
"k %= len(nums)\nnums.reverse()\nnums[:k] = reversed(nums[:k])\nnums[k:]... | <|body_start_0|>
tmp = nums[:len(nums) - k]
nums[:len(nums) - k] = []
nums += tmp
<|end_body_0|>
<|body_start_1|>
tmp = nums[len(nums) - k:]
nums[len(nums) - k:] = []
nums[:0] = tmp
<|end_body_1|>
<|body_start_2|>
k %= len(nums)
tmp = nums * 2
de... | Do not return anything, modify nums in-place instead. | Solution | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Do not return anything, modify nums in-place instead."""
def rotate1(self, nums, k):
"""move the first term (52ms)"""
<|body_0|>
def rotate2(self, nums, k):
"""move the last term (52ms)"""
<|body_1|>
def rotate3(self, nums, k):
"... | stack_v2_sparse_classes_75kplus_train_066173 | 2,073 | permissive | [
{
"docstring": "move the first term (52ms)",
"name": "rotate1",
"signature": "def rotate1(self, nums, k)"
},
{
"docstring": "move the last term (52ms)",
"name": "rotate2",
"signature": "def rotate2(self, nums, k)"
},
{
"docstring": "copy the list (56ms)",
"name": "rotate3",
... | 5 | stack_v2_sparse_classes_30k_train_051418 | Implement the Python class `Solution` described below.
Class description:
Do not return anything, modify nums in-place instead.
Method signatures and docstrings:
- def rotate1(self, nums, k): move the first term (52ms)
- def rotate2(self, nums, k): move the last term (52ms)
- def rotate3(self, nums, k): copy the list... | Implement the Python class `Solution` described below.
Class description:
Do not return anything, modify nums in-place instead.
Method signatures and docstrings:
- def rotate1(self, nums, k): move the first term (52ms)
- def rotate2(self, nums, k): move the last term (52ms)
- def rotate3(self, nums, k): copy the list... | 49a0b03c55d8a702785888d473ef96539265ce9c | <|skeleton|>
class Solution:
"""Do not return anything, modify nums in-place instead."""
def rotate1(self, nums, k):
"""move the first term (52ms)"""
<|body_0|>
def rotate2(self, nums, k):
"""move the last term (52ms)"""
<|body_1|>
def rotate3(self, nums, k):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""Do not return anything, modify nums in-place instead."""
def rotate1(self, nums, k):
"""move the first term (52ms)"""
tmp = nums[:len(nums) - k]
nums[:len(nums) - k] = []
nums += tmp
def rotate2(self, nums, k):
"""move the last term (52ms)"""
... | the_stack_v2_python_sparse | leetcode/0189_rotate_array.py | chaosWsF/Python-Practice | train | 1 |
4d049e638b60c678137b6a7d85543dce34a9d82f | [
"super().__init__(value, msg_id, msg_args)\nself._than = kwargs.get('than', 0.0)\nself._msg_args.update({'than': str(self._than)})",
"if self._value is None:\n return\nNumber().validate(self._value)\nif float(self._value) >= float(self._than):\n raise _error.RuleError(self._msg_id, self._msg_args)"
] | <|body_start_0|>
super().__init__(value, msg_id, msg_args)
self._than = kwargs.get('than', 0.0)
self._msg_args.update({'than': str(self._than)})
<|end_body_0|>
<|body_start_1|>
if self._value is None:
return
Number().validate(self._value)
if float(self._value... | Less | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Less:
def __init__(self, value: float=None, msg_id: str=None, msg_args: dict=None, **kwargs):
"""Init."""
<|body_0|>
def _do_validate(self):
"""Do actual validation of the rule."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().__init__(value,... | stack_v2_sparse_classes_75kplus_train_066174 | 15,784 | permissive | [
{
"docstring": "Init.",
"name": "__init__",
"signature": "def __init__(self, value: float=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 `Less` described below.
Class description:
Implement the Less class.
Method signatures and docstrings:
- def __init__(self, value: float=None, msg_id: str=None, msg_args: dict=None, **kwargs): Init.
- def _do_validate(self): Do actual validation of the rule. | Implement the Python class `Less` described below.
Class description:
Implement the Less class.
Method signatures and docstrings:
- def __init__(self, value: float=None, msg_id: str=None, msg_args: dict=None, **kwargs): Init.
- def _do_validate(self): Do actual validation of the rule.
<|skeleton|>
class Less:
d... | e4896722709607bda88b4a69400dcde4bf7e5f0a | <|skeleton|>
class Less:
def __init__(self, value: float=None, msg_id: str=None, msg_args: dict=None, **kwargs):
"""Init."""
<|body_0|>
def _do_validate(self):
"""Do actual validation of the rule."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Less:
def __init__(self, value: float=None, msg_id: str=None, msg_args: dict=None, **kwargs):
"""Init."""
super().__init__(value, msg_id, msg_args)
self._than = kwargs.get('than', 0.0)
self._msg_args.update({'than': str(self._than)})
def _do_validate(self):
"""Do a... | the_stack_v2_python_sparse | pytsite/validation/_rule.py | pytsite/pytsite | train | 12 | |
9fdc965a8da50427be46cfc887b7949c7913fa02 | [
"TaskManager.__init__(self)\nif task_result_timeout is None:\n task_result_timeout = 0\ntask.props[_KEY_DYNAMIC_TARGETS] = dynamic_targets\ntask.props[_KEY_TASK_RESULT_TIMEOUT] = task_result_timeout\ntask.props[_KEY_SEND_TARGET_COUNTS] = {}\ntask.props[_KEY_PENDING_CLIENT] = None",
"client_name = client_task.c... | <|body_start_0|>
TaskManager.__init__(self)
if task_result_timeout is None:
task_result_timeout = 0
task.props[_KEY_DYNAMIC_TARGETS] = dynamic_targets
task.props[_KEY_TASK_RESULT_TIMEOUT] = task_result_timeout
task.props[_KEY_SEND_TARGET_COUNTS] = {}
task.prop... | AnyRelayTaskManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnyRelayTaskManager:
def __init__(self, task: Task, task_result_timeout, dynamic_targets):
"""Task manager for relay controller on SendOrder.ANY. Args: task (Task): an instance of Task task_result_timeout (int): timeout value on reply of one client dynamic_targets (bool): allow clients t... | stack_v2_sparse_classes_75kplus_train_066175 | 6,797 | permissive | [
{
"docstring": "Task manager for relay controller on SendOrder.ANY. Args: task (Task): an instance of Task task_result_timeout (int): timeout value on reply of one client dynamic_targets (bool): allow clients to join after this task starts",
"name": "__init__",
"signature": "def __init__(self, task: Tas... | 4 | stack_v2_sparse_classes_30k_train_007339 | Implement the Python class `AnyRelayTaskManager` described below.
Class description:
Implement the AnyRelayTaskManager class.
Method signatures and docstrings:
- def __init__(self, task: Task, task_result_timeout, dynamic_targets): Task manager for relay controller on SendOrder.ANY. Args: task (Task): an instance of ... | Implement the Python class `AnyRelayTaskManager` described below.
Class description:
Implement the AnyRelayTaskManager class.
Method signatures and docstrings:
- def __init__(self, task: Task, task_result_timeout, dynamic_targets): Task manager for relay controller on SendOrder.ANY. Args: task (Task): an instance of ... | 1433290c203bd23f34c29e11795ce592bc067888 | <|skeleton|>
class AnyRelayTaskManager:
def __init__(self, task: Task, task_result_timeout, dynamic_targets):
"""Task manager for relay controller on SendOrder.ANY. Args: task (Task): an instance of Task task_result_timeout (int): timeout value on reply of one client dynamic_targets (bool): allow clients t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AnyRelayTaskManager:
def __init__(self, task: Task, task_result_timeout, dynamic_targets):
"""Task manager for relay controller on SendOrder.ANY. Args: task (Task): an instance of Task task_result_timeout (int): timeout value on reply of one client dynamic_targets (bool): allow clients to join after t... | the_stack_v2_python_sparse | nvflare/apis/impl/any_relay_manager.py | NVIDIA/NVFlare | train | 442 | |
efaa33a816453e5a50e7d4fff1f4ca0231a4be1a | [
"template_vars = {}\nif zoe_lib.config.get_conf().oauth_client_id != '':\n template_vars['with_gitlab_oauth'] = True\nself.render('login.jinja2', **template_vars)",
"login_type = self.get_argument('login', 'userpass')\nif login_type == 'OAUTH':\n egitlab = EurecomGitLabClient(client_id=zoe_lib.config.get_co... | <|body_start_0|>
template_vars = {}
if zoe_lib.config.get_conf().oauth_client_id != '':
template_vars['with_gitlab_oauth'] = True
self.render('login.jinja2', **template_vars)
<|end_body_0|>
<|body_start_1|>
login_type = self.get_argument('login', 'userpass')
if login... | The login web page. | LoginWeb | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginWeb:
"""The login web page."""
def get(self):
"""Login page."""
<|body_0|>
def post(self):
"""Try to authenticate."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
template_vars = {}
if zoe_lib.config.get_conf().oauth_client_id != ''... | stack_v2_sparse_classes_75kplus_train_066176 | 5,323 | permissive | [
{
"docstring": "Login page.",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Try to authenticate.",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_052481 | Implement the Python class `LoginWeb` described below.
Class description:
The login web page.
Method signatures and docstrings:
- def get(self): Login page.
- def post(self): Try to authenticate. | Implement the Python class `LoginWeb` described below.
Class description:
The login web page.
Method signatures and docstrings:
- def get(self): Login page.
- def post(self): Try to authenticate.
<|skeleton|>
class LoginWeb:
"""The login web page."""
def get(self):
"""Login page."""
<|body_0... | c8e0c908af1954a8b41d0f6de23d08589564f0ab | <|skeleton|>
class LoginWeb:
"""The login web page."""
def get(self):
"""Login page."""
<|body_0|>
def post(self):
"""Try to authenticate."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoginWeb:
"""The login web page."""
def get(self):
"""Login page."""
template_vars = {}
if zoe_lib.config.get_conf().oauth_client_id != '':
template_vars['with_gitlab_oauth'] = True
self.render('login.jinja2', **template_vars)
def post(self):
"""Tr... | the_stack_v2_python_sparse | zoe_api/web/start.py | DistributedSystemsGroup/zoe | train | 60 |
d74bde5a245995f1cc7290603c108ad0a55a9bc8 | [
"self.window_data = window_data\nself.filter_weights = torch.tensor(filter_weights, dtype=torch.float32)\nself.biases = torch.tensor(biases, dtype=torch.float32)",
"is_np = isinstance(inputs, np.ndarray)\nif is_np:\n inputs = torch.tensor(inputs, dtype=torch.float32)\ninputs = self.window_data.unflatten_inputs... | <|body_start_0|>
self.window_data = window_data
self.filter_weights = torch.tensor(filter_weights, dtype=torch.float32)
self.biases = torch.tensor(biases, dtype=torch.float32)
<|end_body_0|>
<|body_start_1|>
is_np = isinstance(inputs, np.ndarray)
if is_np:
inputs = t... | Represents a 2D Convolution layer in a network. | Conv2DLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv2DLayer:
"""Represents a 2D Convolution layer in a network."""
def __init__(self, window_data, filter_weights, biases):
"""Constructs a new Conv2DLayer."""
<|body_0|>
def compute(self, inputs, jacobian=False):
"""Computes the 2D convolution given an input vec... | stack_v2_sparse_classes_75kplus_train_066177 | 3,146 | permissive | [
{
"docstring": "Constructs a new Conv2DLayer.",
"name": "__init__",
"signature": "def __init__(self, window_data, filter_weights, biases)"
},
{
"docstring": "Computes the 2D convolution given an input vector. If @jacobian=True, it only computes the homogeneous portion (i.e., does not add biases)... | 4 | stack_v2_sparse_classes_30k_train_027769 | Implement the Python class `Conv2DLayer` described below.
Class description:
Represents a 2D Convolution layer in a network.
Method signatures and docstrings:
- def __init__(self, window_data, filter_weights, biases): Constructs a new Conv2DLayer.
- def compute(self, inputs, jacobian=False): Computes the 2D convoluti... | Implement the Python class `Conv2DLayer` described below.
Class description:
Represents a 2D Convolution layer in a network.
Method signatures and docstrings:
- def __init__(self, window_data, filter_weights, biases): Constructs a new Conv2DLayer.
- def compute(self, inputs, jacobian=False): Computes the 2D convoluti... | 19abf589e84ee67317134573054c648bb25c244d | <|skeleton|>
class Conv2DLayer:
"""Represents a 2D Convolution layer in a network."""
def __init__(self, window_data, filter_weights, biases):
"""Constructs a new Conv2DLayer."""
<|body_0|>
def compute(self, inputs, jacobian=False):
"""Computes the 2D convolution given an input vec... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Conv2DLayer:
"""Represents a 2D Convolution layer in a network."""
def __init__(self, window_data, filter_weights, biases):
"""Constructs a new Conv2DLayer."""
self.window_data = window_data
self.filter_weights = torch.tensor(filter_weights, dtype=torch.float32)
self.biase... | the_stack_v2_python_sparse | pysyrenn/frontend/conv2d_layer.py | 95616ARG/SyReNN | train | 38 |
96fdda78822fb0276fd2bab6741ade3b27a0501f | [
"self.tf, self.tar_iter = (tf, tar_iter)\nself.tarinfo_list = tarinfo_list\nself.index = index\nself.buffer = ''\nself.at_end = 0",
"if length < 0:\n while self.addtobuffer():\n pass\n real_len = len(self.buffer)\nelse:\n while len(self.buffer) < length:\n if not self.addtobuffer():\n ... | <|body_start_0|>
self.tf, self.tar_iter = (tf, tar_iter)
self.tarinfo_list = tarinfo_list
self.index = index
self.buffer = ''
self.at_end = 0
<|end_body_0|>
<|body_start_1|>
if length < 0:
while self.addtobuffer():
pass
real_len = ... | Emulate a file like object from multivols Maintains a buffer about the size of a volume. When it is read() to the end, pull in more volumes as desired. | Multivol_Filelike | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Multivol_Filelike:
"""Emulate a file like object from multivols Maintains a buffer about the size of a volume. When it is read() to the end, pull in more volumes as desired."""
def __init__(self, tf, tar_iter, tarinfo_list, index):
"""Initializer. tf is TarFile obj, tarinfo is first ... | stack_v2_sparse_classes_75kplus_train_066178 | 21,671 | no_license | [
{
"docstring": "Initializer. tf is TarFile obj, tarinfo is first tarinfo",
"name": "__init__",
"signature": "def __init__(self, tf, tar_iter, tarinfo_list, index)"
},
{
"docstring": "Read length bytes from file",
"name": "read",
"signature": "def read(self, length=-1)"
},
{
"docs... | 4 | stack_v2_sparse_classes_30k_train_016401 | Implement the Python class `Multivol_Filelike` described below.
Class description:
Emulate a file like object from multivols Maintains a buffer about the size of a volume. When it is read() to the end, pull in more volumes as desired.
Method signatures and docstrings:
- def __init__(self, tf, tar_iter, tarinfo_list, ... | Implement the Python class `Multivol_Filelike` described below.
Class description:
Emulate a file like object from multivols Maintains a buffer about the size of a volume. When it is read() to the end, pull in more volumes as desired.
Method signatures and docstrings:
- def __init__(self, tf, tar_iter, tarinfo_list, ... | ef6d0f4bdff52be379784325e504de22cfe149de | <|skeleton|>
class Multivol_Filelike:
"""Emulate a file like object from multivols Maintains a buffer about the size of a volume. When it is read() to the end, pull in more volumes as desired."""
def __init__(self, tf, tar_iter, tarinfo_list, index):
"""Initializer. tf is TarFile obj, tarinfo is first ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Multivol_Filelike:
"""Emulate a file like object from multivols Maintains a buffer about the size of a volume. When it is read() to the end, pull in more volumes as desired."""
def __init__(self, tf, tar_iter, tarinfo_list, index):
"""Initializer. tf is TarFile obj, tarinfo is first tarinfo"""
... | the_stack_v2_python_sparse | duplicity/patchdir.py | henrysher/duplicity | train | 90 |
6cb8e8b2a640bb0d5701a3aea9c9941385db6deb | [
"self.option = dict()\nself.option_source = dict()\nenviron_var = environ_var.upper()\noptions = options.strip()\ncommand_line = str(sys.argv[1:])\ncontext = f'program injection ({options})'\nfor option in shlex.split(options):\n self.set_option(option, context)\nenviron_options = os.getenv(environ_var, '').stri... | <|body_start_0|>
self.option = dict()
self.option_source = dict()
environ_var = environ_var.upper()
options = options.strip()
command_line = str(sys.argv[1:])
context = f'program injection ({options})'
for option in shlex.split(options):
self.set_optio... | Option | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Option:
def __init__(self, environ_var='', options=''):
"""Loads option values in reverse priority order. Priority: command line > environment variable > code injection Load order: code injection > environment variable > command line"""
<|body_0|>
def __call__(self, key, def... | stack_v2_sparse_classes_75kplus_train_066179 | 4,634 | no_license | [
{
"docstring": "Loads option values in reverse priority order. Priority: command line > environment variable > code injection Load order: code injection > environment variable > command line",
"name": "__init__",
"signature": "def __init__(self, environ_var='', options='')"
},
{
"docstring": "Re... | 4 | stack_v2_sparse_classes_30k_train_049487 | Implement the Python class `Option` described below.
Class description:
Implement the Option class.
Method signatures and docstrings:
- def __init__(self, environ_var='', options=''): Loads option values in reverse priority order. Priority: command line > environment variable > code injection Load order: code injecti... | Implement the Python class `Option` described below.
Class description:
Implement the Option class.
Method signatures and docstrings:
- def __init__(self, environ_var='', options=''): Loads option values in reverse priority order. Priority: command line > environment variable > code injection Load order: code injecti... | 51ee8a0a2f3075ae718339842edaa1b3911ebd7f | <|skeleton|>
class Option:
def __init__(self, environ_var='', options=''):
"""Loads option values in reverse priority order. Priority: command line > environment variable > code injection Load order: code injection > environment variable > command line"""
<|body_0|>
def __call__(self, key, def... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Option:
def __init__(self, environ_var='', options=''):
"""Loads option values in reverse priority order. Priority: command line > environment variable > code injection Load order: code injection > environment variable > command line"""
self.option = dict()
self.option_source = dict()
... | the_stack_v2_python_sparse | option.py | jeremybnelson/python-udp-util | train | 1 | |
78e45815818e19e21312160c5d6353edc30c691c | [
"self.typedefs = typedefs\nself.body_json = body_json\nself.types = ['classification_defs', 'enum_defs', 'entity_defs']",
"existing_entitydefs_names = []\nexisting_enumdefs_names = []\nexisting_classificationdefs_names = []\nfor typedef in ATLAS_CLIENT.typedefs:\n existing_entitydefs_names = [entity.name for e... | <|body_start_0|>
self.typedefs = typedefs
self.body_json = body_json
self.types = ['classification_defs', 'enum_defs', 'entity_defs']
<|end_body_0|>
<|body_start_1|>
existing_entitydefs_names = []
existing_enumdefs_names = []
existing_classificationdefs_names = []
... | Create typedefs on Atlas (it cannot update existing ones) | AtlasTypedefsCreateOperator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AtlasTypedefsCreateOperator:
"""Create typedefs on Atlas (it cannot update existing ones)"""
def __init__(self, typedefs, body_json, **kwargs):
"""It uses the typedefs model and validate the content before sending it to Atlas Args: typedefs(Typedefs): Typedefs object with info to cre... | stack_v2_sparse_classes_75kplus_train_066180 | 3,894 | permissive | [
{
"docstring": "It uses the typedefs model and validate the content before sending it to Atlas Args: typedefs(Typedefs): Typedefs object with info to create the typedefs in Atlas bodyjson(str): Body in json format as given as body when calling the API",
"name": "__init__",
"signature": "def __init__(sel... | 4 | null | Implement the Python class `AtlasTypedefsCreateOperator` described below.
Class description:
Create typedefs on Atlas (it cannot update existing ones)
Method signatures and docstrings:
- def __init__(self, typedefs, body_json, **kwargs): It uses the typedefs model and validate the content before sending it to Atlas A... | Implement the Python class `AtlasTypedefsCreateOperator` described below.
Class description:
Create typedefs on Atlas (it cannot update existing ones)
Method signatures and docstrings:
- def __init__(self, typedefs, body_json, **kwargs): It uses the typedefs model and validate the content before sending it to Atlas A... | f95a5513d34ec18bfa9adfab7ae0c13abd85b808 | <|skeleton|>
class AtlasTypedefsCreateOperator:
"""Create typedefs on Atlas (it cannot update existing ones)"""
def __init__(self, typedefs, body_json, **kwargs):
"""It uses the typedefs model and validate the content before sending it to Atlas Args: typedefs(Typedefs): Typedefs object with info to cre... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AtlasTypedefsCreateOperator:
"""Create typedefs on Atlas (it cannot update existing ones)"""
def __init__(self, typedefs, body_json, **kwargs):
"""It uses the typedefs model and validate the content before sending it to Atlas Args: typedefs(Typedefs): Typedefs object with info to create the typed... | the_stack_v2_python_sparse | det/operators/atlas_typedefs_create.py | jpoullet2000/det | train | 0 |
0cfb1932604ea86b2c3dfcebb78f5a1671d900f5 | [
"user = get_a_user(fuelid)\nif not user:\n api.abort(404)\nelse:\n return user\ndata = request.json\nreturn get_a_user(data=data)",
"user = complete_users(fuelid)\nif not user:\n api.abort(404)\nelse:\n return user\ndata = request.json\nreturn complete_users(data=data)",
"user = delete_user(fuelid)\... | <|body_start_0|>
user = get_a_user(fuelid)
if not user:
api.abort(404)
else:
return user
data = request.json
return get_a_user(data=data)
<|end_body_0|>
<|body_start_1|>
user = complete_users(fuelid)
if not user:
api.abort(404)... | Fuelgate | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Fuelgate:
def get(self, fuelid):
"""get a Fuelgate given its identifier"""
<|body_0|>
def put(self, fuelid):
"""Fuelgate Updated"""
<|body_1|>
def delete(self, fuelid):
"""Fuelgate Deleted"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_75kplus_train_066181 | 2,585 | no_license | [
{
"docstring": "get a Fuelgate given its identifier",
"name": "get",
"signature": "def get(self, fuelid)"
},
{
"docstring": "Fuelgate Updated",
"name": "put",
"signature": "def put(self, fuelid)"
},
{
"docstring": "Fuelgate Deleted",
"name": "delete",
"signature": "def de... | 3 | stack_v2_sparse_classes_30k_train_035628 | Implement the Python class `Fuelgate` described below.
Class description:
Implement the Fuelgate class.
Method signatures and docstrings:
- def get(self, fuelid): get a Fuelgate given its identifier
- def put(self, fuelid): Fuelgate Updated
- def delete(self, fuelid): Fuelgate Deleted | Implement the Python class `Fuelgate` described below.
Class description:
Implement the Fuelgate class.
Method signatures and docstrings:
- def get(self, fuelid): get a Fuelgate given its identifier
- def put(self, fuelid): Fuelgate Updated
- def delete(self, fuelid): Fuelgate Deleted
<|skeleton|>
class Fuelgate:
... | 4fa4042304ee01cf23ecc81f9c27977fd12c31b9 | <|skeleton|>
class Fuelgate:
def get(self, fuelid):
"""get a Fuelgate given its identifier"""
<|body_0|>
def put(self, fuelid):
"""Fuelgate Updated"""
<|body_1|>
def delete(self, fuelid):
"""Fuelgate Deleted"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Fuelgate:
def get(self, fuelid):
"""get a Fuelgate given its identifier"""
user = get_a_user(fuelid)
if not user:
api.abort(404)
else:
return user
data = request.json
return get_a_user(data=data)
def put(self, fuelid):
"""Fue... | the_stack_v2_python_sparse | main/controller/fuelgate_controller.py | Gauravkumar45/Flask-RESTPlus-API | train | 0 | |
3b29838a84dd7a58ad4eff9f29b9e99e1358b71f | [
"super().__init__()\nif nonlinear_activation:\n nonlinear_activation = nonlinear_activation.lower()\ninitialize(self, init_type)\nself.layers = nn.LayerList()\nassert len(kernel_sizes) == 2\nassert kernel_sizes[0] % 2 == 1\nassert kernel_sizes[1] % 2 == 1\nself.layers.append(nn.Sequential(getattr(nn, pad)((np.pr... | <|body_start_0|>
super().__init__()
if nonlinear_activation:
nonlinear_activation = nonlinear_activation.lower()
initialize(self, init_type)
self.layers = nn.LayerList()
assert len(kernel_sizes) == 2
assert kernel_sizes[0] % 2 == 1
assert kernel_sizes[... | MelGAN discriminator module. | MelGANDiscriminator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MelGANDiscriminator:
"""MelGAN discriminator module."""
def __init__(self, in_channels: int=1, out_channels: int=1, kernel_sizes: List[int]=[5, 3], channels: int=16, max_downsample_channels: int=1024, bias: bool=True, downsample_scales: List[int]=[4, 4, 4, 4], nonlinear_activation: str='leak... | stack_v2_sparse_classes_75kplus_train_066182 | 20,745 | permissive | [
{
"docstring": "Initilize MelGAN discriminator module. Args: in_channels (int): Number of input channels. out_channels (int): Number of output channels. kernel_sizes (List[int]): List of two kernel sizes. The prod will be used for the first conv layer, and the first and the second kernel sizes will be used for ... | 2 | stack_v2_sparse_classes_30k_train_020552 | Implement the Python class `MelGANDiscriminator` described below.
Class description:
MelGAN discriminator module.
Method signatures and docstrings:
- def __init__(self, in_channels: int=1, out_channels: int=1, kernel_sizes: List[int]=[5, 3], channels: int=16, max_downsample_channels: int=1024, bias: bool=True, downsa... | Implement the Python class `MelGANDiscriminator` described below.
Class description:
MelGAN discriminator module.
Method signatures and docstrings:
- def __init__(self, in_channels: int=1, out_channels: int=1, kernel_sizes: List[int]=[5, 3], channels: int=16, max_downsample_channels: int=1024, bias: bool=True, downsa... | 17854a04d43c231eff66bfed9d6aa55e94a29e79 | <|skeleton|>
class MelGANDiscriminator:
"""MelGAN discriminator module."""
def __init__(self, in_channels: int=1, out_channels: int=1, kernel_sizes: List[int]=[5, 3], channels: int=16, max_downsample_channels: int=1024, bias: bool=True, downsample_scales: List[int]=[4, 4, 4, 4], nonlinear_activation: str='leak... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MelGANDiscriminator:
"""MelGAN discriminator module."""
def __init__(self, in_channels: int=1, out_channels: int=1, kernel_sizes: List[int]=[5, 3], channels: int=16, max_downsample_channels: int=1024, bias: bool=True, downsample_scales: List[int]=[4, 4, 4, 4], nonlinear_activation: str='leakyrelu', nonli... | the_stack_v2_python_sparse | paddlespeech/t2s/models/melgan/melgan.py | anniyanvr/DeepSpeech-1 | train | 0 |
d135553b1196dd21eaa087ab07ce8472dba61499 | [
"value = super().__getattribute__(name)\nif name == 'uid' and value is None and self.id:\n return perfect_hash.encode(self.id)\nreturn value",
"defer_uid = False\nif not self.id:\n defer_uid = True\nsuper().save(*args, **kwargs)\nif defer_uid:\n self.uid = perfect_hash.encode(self.id)\n super().save(f... | <|body_start_0|>
value = super().__getattribute__(name)
if name == 'uid' and value is None and self.id:
return perfect_hash.encode(self.id)
return value
<|end_body_0|>
<|body_start_1|>
defer_uid = False
if not self.id:
defer_uid = True
super().sav... | Add user-friendly UID to any model. Note that database value will be NULL upon first saving. | UidMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UidMixin:
"""Add user-friendly UID to any model. Note that database value will be NULL upon first saving."""
def __getattribute__(self, name):
"""Add UID value to the model when we have ID available."""
<|body_0|>
def save(self, *args, **kwargs):
"""Add UID right... | stack_v2_sparse_classes_75kplus_train_066183 | 4,079 | permissive | [
{
"docstring": "Add UID value to the model when we have ID available.",
"name": "__getattribute__",
"signature": "def __getattribute__(self, name)"
},
{
"docstring": "Add UID right after we obtain ID from the database.",
"name": "save",
"signature": "def save(self, *args, **kwargs)"
}
... | 2 | stack_v2_sparse_classes_30k_val_000767 | Implement the Python class `UidMixin` described below.
Class description:
Add user-friendly UID to any model. Note that database value will be NULL upon first saving.
Method signatures and docstrings:
- def __getattribute__(self, name): Add UID value to the model when we have ID available.
- def save(self, *args, **k... | Implement the Python class `UidMixin` described below.
Class description:
Add user-friendly UID to any model. Note that database value will be NULL upon first saving.
Method signatures and docstrings:
- def __getattribute__(self, name): Add UID value to the model when we have ID available.
- def save(self, *args, **k... | 84c4fa10aefbd792a956cef3d727623ca78cb5fd | <|skeleton|>
class UidMixin:
"""Add user-friendly UID to any model. Note that database value will be NULL upon first saving."""
def __getattribute__(self, name):
"""Add UID value to the model when we have ID available."""
<|body_0|>
def save(self, *args, **kwargs):
"""Add UID right... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UidMixin:
"""Add user-friendly UID to any model. Note that database value will be NULL upon first saving."""
def __getattribute__(self, name):
"""Add UID value to the model when we have ID available."""
value = super().__getattribute__(name)
if name == 'uid' and value is None and ... | the_stack_v2_python_sparse | market/utils/models.py | katomaso/django-market | train | 0 |
fe6c897bac95d21d3386153b11ae415b9737c291 | [
"print('Testing D_recognize')\nstates = ['1', '2', '3', '4']\ndomain = ['b', 'a', '!']\nstart_state = '1'\naccept_state = ['4']\nstate_table = [('1', 'b', '2'), ('2', 'a', '3'), ('3', 'a', '3'), ('3', '!', '4')]\nFSA = state_machine.Finite_State_Automata(states, domain, start_state, accept_state, state_table)\nself... | <|body_start_0|>
print('Testing D_recognize')
states = ['1', '2', '3', '4']
domain = ['b', 'a', '!']
start_state = '1'
accept_state = ['4']
state_table = [('1', 'b', '2'), ('2', 'a', '3'), ('3', 'a', '3'), ('3', '!', '4')]
FSA = state_machine.Finite_State_Automata... | TestFSA | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFSA:
def test_d_recognize(self):
"""Test the basic D_Recognize algorithm using the sheep languages discussed in class the regex is defined as /^baa+!$/"""
<|body_0|>
def test_d_recognize_b(self):
"""Tests the second d_recognize function by defining a machine that... | stack_v2_sparse_classes_75kplus_train_066184 | 4,133 | no_license | [
{
"docstring": "Test the basic D_Recognize algorithm using the sheep languages discussed in class the regex is defined as /^baa+!$/",
"name": "test_d_recognize",
"signature": "def test_d_recognize(self)"
},
{
"docstring": "Tests the second d_recognize function by defining a machine that searches... | 3 | stack_v2_sparse_classes_30k_train_029794 | Implement the Python class `TestFSA` described below.
Class description:
Implement the TestFSA class.
Method signatures and docstrings:
- def test_d_recognize(self): Test the basic D_Recognize algorithm using the sheep languages discussed in class the regex is defined as /^baa+!$/
- def test_d_recognize_b(self): Test... | Implement the Python class `TestFSA` described below.
Class description:
Implement the TestFSA class.
Method signatures and docstrings:
- def test_d_recognize(self): Test the basic D_Recognize algorithm using the sheep languages discussed in class the regex is defined as /^baa+!$/
- def test_d_recognize_b(self): Test... | 1f7dd50123b5b69d8268bc071a4adc5b3b8a76e6 | <|skeleton|>
class TestFSA:
def test_d_recognize(self):
"""Test the basic D_Recognize algorithm using the sheep languages discussed in class the regex is defined as /^baa+!$/"""
<|body_0|>
def test_d_recognize_b(self):
"""Tests the second d_recognize function by defining a machine that... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestFSA:
def test_d_recognize(self):
"""Test the basic D_Recognize algorithm using the sheep languages discussed in class the regex is defined as /^baa+!$/"""
print('Testing D_recognize')
states = ['1', '2', '3', '4']
domain = ['b', 'a', '!']
start_state = '1'
a... | the_stack_v2_python_sparse | test.py | lzambella/csc470-proj1 | train | 0 | |
eedc647d421195246fd8a46d998b671ae95678df | [
"super(GANLoss, self).__init__()\nself.register_buffer('real_label', torch.tensor(target_real_label))\nself.register_buffer('fake_label', torch.tensor(target_fake_label))\nself.gan_mode = gan_mode\nif gan_mode == 'lsgan':\n self.loss = nn.MSELoss()\nelif gan_mode == 'vanilla':\n self.loss = nn.BCEWithLogitsLo... | <|body_start_0|>
super(GANLoss, self).__init__()
self.register_buffer('real_label', torch.tensor(target_real_label))
self.register_buffer('fake_label', torch.tensor(target_fake_label))
self.gan_mode = gan_mode
if gan_mode == 'lsgan':
self.loss = nn.MSELoss()
e... | Define different GAN objectives. The GANLoss class abstracts away the need to create the target label tensor that has the same size as the input. | GANLoss | [
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GANLoss:
"""Define different GAN objectives. The GANLoss class abstracts away the need to create the target label tensor that has the same size as the input."""
def __init__(self, gan_mode, target_real_label=1.0, target_fake_label=0.0):
"""Initialize the GANLoss class. Parameters: ga... | stack_v2_sparse_classes_75kplus_train_066185 | 13,787 | permissive | [
{
"docstring": "Initialize the GANLoss class. Parameters: gan_mode (str) - - the type of GAN objective. It currently supports vanilla, lsgan, and wgangp. target_real_label (bool) - - label for a real image target_fake_label (bool) - - label of a fake image Note: Do not use sigmoid as the last layer of Discrimin... | 3 | stack_v2_sparse_classes_30k_train_040112 | Implement the Python class `GANLoss` described below.
Class description:
Define different GAN objectives. The GANLoss class abstracts away the need to create the target label tensor that has the same size as the input.
Method signatures and docstrings:
- def __init__(self, gan_mode, target_real_label=1.0, target_fake... | Implement the Python class `GANLoss` described below.
Class description:
Define different GAN objectives. The GANLoss class abstracts away the need to create the target label tensor that has the same size as the input.
Method signatures and docstrings:
- def __init__(self, gan_mode, target_real_label=1.0, target_fake... | ebb8c0333bbd33c063b6dd4a21a0559eb86d13e9 | <|skeleton|>
class GANLoss:
"""Define different GAN objectives. The GANLoss class abstracts away the need to create the target label tensor that has the same size as the input."""
def __init__(self, gan_mode, target_real_label=1.0, target_fake_label=0.0):
"""Initialize the GANLoss class. Parameters: ga... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GANLoss:
"""Define different GAN objectives. The GANLoss class abstracts away the need to create the target label tensor that has the same size as the input."""
def __init__(self, gan_mode, target_real_label=1.0, target_fake_label=0.0):
"""Initialize the GANLoss class. Parameters: gan_mode (str) ... | the_stack_v2_python_sparse | simplegan_experiments/models/base_networks.py | Qun-Li/OroJaR | train | 0 |
8f30b958fbf66dceadf4beef94e766733cd2be06 | [
"self.validate_parameters(accept=accept, customer_id=customer_id, account_id=account_id)\n_url_path = '/aggregation/v1/customers/{customerId}/accounts/{accountId}/statement'\n_url_path = APIHelper.append_url_with_template_parameters(_url_path, {'customerId': customer_id, 'accountId': account_id})\n_query_builder = ... | <|body_start_0|>
self.validate_parameters(accept=accept, customer_id=customer_id, account_id=account_id)
_url_path = '/aggregation/v1/customers/{customerId}/accounts/{accountId}/statement'
_url_path = APIHelper.append_url_with_template_parameters(_url_path, {'customerId': customer_id, 'accountId... | A Controller to access Endpoints in the finicityapi API. | BankStatementsController | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BankStatementsController:
"""A Controller to access Endpoints in the finicityapi API."""
def get_customer_account_statement(self, accept, customer_id, account_id, index=1):
"""Does a GET request to /aggregation/v1/customers/{customerId}/accounts/{accountId}/statement. Connect to the ... | stack_v2_sparse_classes_75kplus_train_066186 | 8,471 | permissive | [
{
"docstring": "Does a GET request to /aggregation/v1/customers/{customerId}/accounts/{accountId}/statement. Connect to the account’s financial institution and download the most recent monthly statement for the account, in PDF format. This is an interactive refresh, so MFA challenges may be required. The index ... | 2 | null | Implement the Python class `BankStatementsController` described below.
Class description:
A Controller to access Endpoints in the finicityapi API.
Method signatures and docstrings:
- def get_customer_account_statement(self, accept, customer_id, account_id, index=1): Does a GET request to /aggregation/v1/customers/{cu... | Implement the Python class `BankStatementsController` described below.
Class description:
A Controller to access Endpoints in the finicityapi API.
Method signatures and docstrings:
- def get_customer_account_statement(self, accept, customer_id, account_id, index=1): Does a GET request to /aggregation/v1/customers/{cu... | b2ab1ded435db75c78d42261f5e4acd2a3061487 | <|skeleton|>
class BankStatementsController:
"""A Controller to access Endpoints in the finicityapi API."""
def get_customer_account_statement(self, accept, customer_id, account_id, index=1):
"""Does a GET request to /aggregation/v1/customers/{customerId}/accounts/{accountId}/statement. Connect to the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BankStatementsController:
"""A Controller to access Endpoints in the finicityapi API."""
def get_customer_account_statement(self, accept, customer_id, account_id, index=1):
"""Does a GET request to /aggregation/v1/customers/{customerId}/accounts/{accountId}/statement. Connect to the account’s fin... | the_stack_v2_python_sparse | finicityapi/controllers/bank_statements_controller.py | monarchmoney/finicity-python | train | 0 |
debcf4b83978cc72bfa5cc1a5d689aa8b423d7a1 | [
"w = ''\nwhile True:\n ch = fp.read(1)\n if ch == ' ':\n break\n w += ch\nline = fp.read(4 * self._size)\nvec = np.zeros(self._size, dtype=np.float32)\nfor i in xrange(self._size):\n vec[i] = struct.unpack_from('<f', line, offset=4 * i)[0]\nreturn (w, vec)",
"self._vocab = []\nwith open(filenam... | <|body_start_0|>
w = ''
while True:
ch = fp.read(1)
if ch == ' ':
break
w += ch
line = fp.read(4 * self._size)
vec = np.zeros(self._size, dtype=np.float32)
for i in xrange(self._size):
vec[i] = struct.unpack_from('<f... | Word2VecConverter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Word2VecConverter:
def _decodeLine(self, fp):
"""Decode a line in the file. Args: fp: The file descriptor."""
<|body_0|>
def load(self, filename):
"""Load a pre-trained word2vec file. Args: filename: The pre-trained word2vec model."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus_train_066187 | 5,073 | no_license | [
{
"docstring": "Decode a line in the file. Args: fp: The file descriptor.",
"name": "_decodeLine",
"signature": "def _decodeLine(self, fp)"
},
{
"docstring": "Load a pre-trained word2vec file. Args: filename: The pre-trained word2vec model.",
"name": "load",
"signature": "def load(self, ... | 2 | null | Implement the Python class `Word2VecConverter` described below.
Class description:
Implement the Word2VecConverter class.
Method signatures and docstrings:
- def _decodeLine(self, fp): Decode a line in the file. Args: fp: The file descriptor.
- def load(self, filename): Load a pre-trained word2vec file. Args: filenam... | Implement the Python class `Word2VecConverter` described below.
Class description:
Implement the Word2VecConverter class.
Method signatures and docstrings:
- def _decodeLine(self, fp): Decode a line in the file. Args: fp: The file descriptor.
- def load(self, filename): Load a pre-trained word2vec file. Args: filenam... | 2017df820668ae6bf460379e5858ada925834e89 | <|skeleton|>
class Word2VecConverter:
def _decodeLine(self, fp):
"""Decode a line in the file. Args: fp: The file descriptor."""
<|body_0|>
def load(self, filename):
"""Load a pre-trained word2vec file. Args: filename: The pre-trained word2vec model."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Word2VecConverter:
def _decodeLine(self, fp):
"""Decode a line in the file. Args: fp: The file descriptor."""
w = ''
while True:
ch = fp.read(1)
if ch == ' ':
break
w += ch
line = fp.read(4 * self._size)
vec = np.zeros... | the_stack_v2_python_sparse | utils/embedding_converter.py | yekeren/Story-Video_ads_understanding | train | 12 | |
76ebaff00d30b4fa0fa2c6a1e149d24917050a54 | [
"maxArea = 0\nl = 0\nr = len(height) - 1\nwhile l < r:\n maxArea = max(maxArea, min(height[l], height[r]) * (r - l))\n if height[l] < height[r]:\n l += 1\n else:\n r -= 1\nreturn maxArea",
"ptr1 = 0\nptr2 = len(height) - 1\narea = 0\nwhile ptr1 < ptr2:\n a = 0\n if height[ptr1] > heig... | <|body_start_0|>
maxArea = 0
l = 0
r = len(height) - 1
while l < r:
maxArea = max(maxArea, min(height[l], height[r]) * (r - l))
if height[l] < height[r]:
l += 1
else:
r -= 1
return maxArea
<|end_body_0|>
<|body_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxArea(self, height):
"""双指针法 :type height: List[int] :rtype: int"""
<|body_0|>
def maxArea2(self, height):
"""与上同理，但这个时间快一点 :type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
maxArea = 0
l = 0... | stack_v2_sparse_classes_75kplus_train_066188 | 1,050 | no_license | [
{
"docstring": "双指针法 :type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
},
{
"docstring": "与上同理，但这个时间快一点 :type height: List[int] :rtype: int",
"name": "maxArea2",
"signature": "def maxArea2(self, height)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001739 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): 双指针法 :type height: List[int] :rtype: int
- def maxArea2(self, height): 与上同理，但这个时间快一点 :type height: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): 双指针法 :type height: List[int] :rtype: int
- def maxArea2(self, height): 与上同理，但这个时间快一点 :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
... | 5ded4c79f567639042bcf6eb71ece910f54a5af9 | <|skeleton|>
class Solution:
def maxArea(self, height):
"""双指针法 :type height: List[int] :rtype: int"""
<|body_0|>
def maxArea2(self, height):
"""与上同理，但这个时间快一点 :type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxArea(self, height):
"""双指针法 :type height: List[int] :rtype: int"""
maxArea = 0
l = 0
r = len(height) - 1
while l < r:
maxArea = max(maxArea, min(height[l], height[r]) * (r - l))
if height[l] < height[r]:
l += 1
... | the_stack_v2_python_sparse | 11.Container With Most Water.py | redrumshinning/Leetcode | train | 0 | |
a99b567277147063307a96e3e32d303f9139c279 | [
"form = ArtistForm({'name': '', 'artist_statement': 'test', 'image': 'test'})\nself.assertFalse(form.is_valid())\nself.assertIn('name', form.errors.keys())\nself.assertEqual(form.errors['name'][0], 'This field is required.')",
"form = ArtistForm({'name': 'test', 'artist_statement': '', 'image': 'test'})\nself.ass... | <|body_start_0|>
form = ArtistForm({'name': '', 'artist_statement': 'test', 'image': 'test'})
self.assertFalse(form.is_valid())
self.assertIn('name', form.errors.keys())
self.assertEqual(form.errors['name'][0], 'This field is required.')
<|end_body_0|>
<|body_start_1|>
form = Ar... | Test that the artist form works | TestArtistForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestArtistForm:
"""Test that the artist form works"""
def test_name_is_required(self):
"""Test if form submits without name field"""
<|body_0|>
def test_artist_statement_is_required(self):
"""Test if form submits without artist_statement field"""
<|body_1... | stack_v2_sparse_classes_75kplus_train_066189 | 1,801 | no_license | [
{
"docstring": "Test if form submits without name field",
"name": "test_name_is_required",
"signature": "def test_name_is_required(self)"
},
{
"docstring": "Test if form submits without artist_statement field",
"name": "test_artist_statement_is_required",
"signature": "def test_artist_st... | 3 | stack_v2_sparse_classes_30k_val_000760 | Implement the Python class `TestArtistForm` described below.
Class description:
Test that the artist form works
Method signatures and docstrings:
- def test_name_is_required(self): Test if form submits without name field
- def test_artist_statement_is_required(self): Test if form submits without artist_statement fiel... | Implement the Python class `TestArtistForm` described below.
Class description:
Test that the artist form works
Method signatures and docstrings:
- def test_name_is_required(self): Test if form submits without name field
- def test_artist_statement_is_required(self): Test if form submits without artist_statement fiel... | b4ef7a46708711bda460667b1f602d0bd67c0bae | <|skeleton|>
class TestArtistForm:
"""Test that the artist form works"""
def test_name_is_required(self):
"""Test if form submits without name field"""
<|body_0|>
def test_artist_statement_is_required(self):
"""Test if form submits without artist_statement field"""
<|body_1... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestArtistForm:
"""Test that the artist form works"""
def test_name_is_required(self):
"""Test if form submits without name field"""
form = ArtistForm({'name': '', 'artist_statement': 'test', 'image': 'test'})
self.assertFalse(form.is_valid())
self.assertIn('name', form.er... | the_stack_v2_python_sparse | artists/test_forms.py | AmyOShea/MS4-ARTstop | train | 1 |
6d9ac025c045c4a2229592af45d628938d3b7109 | [
"super().__init__(*transforms, transform_call=transform_call, shuffle=shuffle, **kwargs)\nif random_sampler is None:\n random_sampler = UniformParameter(0.0, 1.0)\nself.register_sampler('prob', random_sampler, size=(len(self.transforms),))\nif check_scalar(dropout):\n dropout = [dropout] * len(self.transforms... | <|body_start_0|>
super().__init__(*transforms, transform_call=transform_call, shuffle=shuffle, **kwargs)
if random_sampler is None:
random_sampler = UniformParameter(0.0, 1.0)
self.register_sampler('prob', random_sampler, size=(len(self.transforms),))
if check_scalar(dropout)... | Compose multiple transforms to one and randomly apply them | DropoutCompose | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DropoutCompose:
"""Compose multiple transforms to one and randomly apply them"""
def __init__(self, *transforms: Union[AbstractTransform, Sequence[AbstractTransform]], dropout: Union[float, Sequence[float]]=0.5, shuffle: bool=False, random_sampler: ContinuousParameter=None, transform_call: C... | stack_v2_sparse_classes_75kplus_train_066190 | 9,508 | permissive | [
{
"docstring": "Args: *transforms: one or multiple transformations which are applied in consecutive order dropout: if provided as float, each transform is skipped with the given probability if :attr:`dropout` is a sequence, it needs to specify the dropout probability for each given transform shuffle: apply tran... | 2 | stack_v2_sparse_classes_30k_train_051955 | Implement the Python class `DropoutCompose` described below.
Class description:
Compose multiple transforms to one and randomly apply them
Method signatures and docstrings:
- def __init__(self, *transforms: Union[AbstractTransform, Sequence[AbstractTransform]], dropout: Union[float, Sequence[float]]=0.5, shuffle: boo... | Implement the Python class `DropoutCompose` described below.
Class description:
Compose multiple transforms to one and randomly apply them
Method signatures and docstrings:
- def __init__(self, *transforms: Union[AbstractTransform, Sequence[AbstractTransform]], dropout: Union[float, Sequence[float]]=0.5, shuffle: boo... | ab6fbcfe7215c2a5b8e401b70909f6a32d0d167b | <|skeleton|>
class DropoutCompose:
"""Compose multiple transforms to one and randomly apply them"""
def __init__(self, *transforms: Union[AbstractTransform, Sequence[AbstractTransform]], dropout: Union[float, Sequence[float]]=0.5, shuffle: bool=False, random_sampler: ContinuousParameter=None, transform_call: C... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DropoutCompose:
"""Compose multiple transforms to one and randomly apply them"""
def __init__(self, *transforms: Union[AbstractTransform, Sequence[AbstractTransform]], dropout: Union[float, Sequence[float]]=0.5, shuffle: bool=False, random_sampler: ContinuousParameter=None, transform_call: Callable[[Any,... | the_stack_v2_python_sparse | rising/transforms/compose.py | PhoenixDL/rising | train | 318 |
0393b356f4e7f91a01c53ad8f01e3c2ac012e020 | [
"run_id = str(uuid.uuid1())\nif not run.id.startswith(self.OFFLINE_RUN):\n run_id = run.id\n parent_id, portal_url = ('none', 'none')\n if run.parent is not None:\n parent_id = run.parent.id\n portal_url = run.parent.get_portal_url()\n self.custom_dimensions = {'custom_dimensions': {'paren... | <|body_start_0|>
run_id = str(uuid.uuid1())
if not run.id.startswith(self.OFFLINE_RUN):
run_id = run.id
parent_id, portal_url = ('none', 'none')
if run.parent is not None:
parent_id = run.parent.id
portal_url = run.parent.get_portal_url... | ObservabilityAbstract | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObservabilityAbstract:
def get_run_id_and_set_context(self, run):
"""gets the correlation ID by the in following order: - If the script is running in an Online run Context of AML --> run_id - If the script is running where a build_id environment variable is set --> build_id - Else --> ge... | stack_v2_sparse_classes_75kplus_train_066191 | 4,694 | permissive | [
{
"docstring": "gets the correlation ID by the in following order: - If the script is running in an Online run Context of AML --> run_id - If the script is running where a build_id environment variable is set --> build_id - Else --> generate a unique id Sets also the custom context dimensions based on On or Off... | 3 | stack_v2_sparse_classes_30k_train_001424 | Implement the Python class `ObservabilityAbstract` described below.
Class description:
Implement the ObservabilityAbstract class.
Method signatures and docstrings:
- def get_run_id_and_set_context(self, run): gets the correlation ID by the in following order: - If the script is running in an Online run Context of AML... | Implement the Python class `ObservabilityAbstract` described below.
Class description:
Implement the ObservabilityAbstract class.
Method signatures and docstrings:
- def get_run_id_and_set_context(self, run): gets the correlation ID by the in following order: - If the script is running in an Online run Context of AML... | 220353f06be7bfc9fd6d7e650fe4dbc67a7708de | <|skeleton|>
class ObservabilityAbstract:
def get_run_id_and_set_context(self, run):
"""gets the correlation ID by the in following order: - If the script is running in an Online run Context of AML --> run_id - If the script is running where a build_id environment variable is set --> build_id - Else --> ge... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ObservabilityAbstract:
def get_run_id_and_set_context(self, run):
"""gets the correlation ID by the in following order: - If the script is running in an Online run Context of AML --> run_id - If the script is running where a build_id environment variable is set --> build_id - Else --> generate a uniqu... | the_stack_v2_python_sparse | common/azureml_appinsights_logger/azureml_appinsights_logger/logger_interface.py | h2floh/MLOpsManufacturing | train | 0 | |
74ca648b0d57481b2ddb8bf97d3edf415c39089f | [
"super(SoftDotAttention, self).__init__()\nself.linear_in = nn.Linear(query_dim, ctx_dim, bias=False)\nself.sm = nn.Softmax()\nself.linear_out = nn.Linear(query_dim + ctx_dim, query_dim, bias=False)\nself.tanh = nn.Tanh()",
"target = self.linear_in(h).unsqueeze(2)\nattn = torch.bmm(context, target).squeeze(2)\nlo... | <|body_start_0|>
super(SoftDotAttention, self).__init__()
self.linear_in = nn.Linear(query_dim, ctx_dim, bias=False)
self.sm = nn.Softmax()
self.linear_out = nn.Linear(query_dim + ctx_dim, query_dim, bias=False)
self.tanh = nn.Tanh()
<|end_body_0|>
<|body_start_1|>
targe... | Soft Dot Attention. Ref: http://www.aclweb.org/anthology/D15-1166 Adapted from PyTorch OPEN NMT. | SoftDotAttention | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SoftDotAttention:
"""Soft Dot Attention. Ref: http://www.aclweb.org/anthology/D15-1166 Adapted from PyTorch OPEN NMT."""
def __init__(self, query_dim, ctx_dim):
"""Initialize layer."""
<|body_0|>
def forward(self, h, context, mask=None, output_tilde=True, output_prob=Tru... | stack_v2_sparse_classes_75kplus_train_066192 | 22,199 | permissive | [
{
"docstring": "Initialize layer.",
"name": "__init__",
"signature": "def __init__(self, query_dim, ctx_dim)"
},
{
"docstring": "Propagate h through the network. h: batch x dim context: batch x seq_len x dim mask: batch x seq_len indices to be masked",
"name": "forward",
"signature": "de... | 2 | stack_v2_sparse_classes_30k_train_021017 | Implement the Python class `SoftDotAttention` described below.
Class description:
Soft Dot Attention. Ref: http://www.aclweb.org/anthology/D15-1166 Adapted from PyTorch OPEN NMT.
Method signatures and docstrings:
- def __init__(self, query_dim, ctx_dim): Initialize layer.
- def forward(self, h, context, mask=None, ou... | Implement the Python class `SoftDotAttention` described below.
Class description:
Soft Dot Attention. Ref: http://www.aclweb.org/anthology/D15-1166 Adapted from PyTorch OPEN NMT.
Method signatures and docstrings:
- def __init__(self, query_dim, ctx_dim): Initialize layer.
- def forward(self, h, context, mask=None, ou... | 868fb53d6b7978bbb10439a59e65044c811ee5c2 | <|skeleton|>
class SoftDotAttention:
"""Soft Dot Attention. Ref: http://www.aclweb.org/anthology/D15-1166 Adapted from PyTorch OPEN NMT."""
def __init__(self, query_dim, ctx_dim):
"""Initialize layer."""
<|body_0|>
def forward(self, h, context, mask=None, output_tilde=True, output_prob=Tru... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SoftDotAttention:
"""Soft Dot Attention. Ref: http://www.aclweb.org/anthology/D15-1166 Adapted from PyTorch OPEN NMT."""
def __init__(self, query_dim, ctx_dim):
"""Initialize layer."""
super(SoftDotAttention, self).__init__()
self.linear_in = nn.Linear(query_dim, ctx_dim, bias=Fal... | the_stack_v2_python_sparse | r2r_src/model.py | weituo12321/PREVALENT_R2R | train | 8 |
4eacd20f5a33997e23ba307cbfb1d171da6d5a9f | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('janellc_rstiffel', 'janellc_rstiffel')\nurl = 'http://datamechanics.io/data/census_tracts_list2.csv'\nvalues = csv_to_json(url)\nrepo.dropCollection('bostonTracts')\nrepo.createCollection('bostonTracts')... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('janellc_rstiffel', 'janellc_rstiffel')
url = 'http://datamechanics.io/data/census_tracts_list2.csv'
values = csv_to_json(url)
repo.dropCol... | getIncome | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class getIncome:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything hap... | stack_v2_sparse_classes_75kplus_train_066193 | 5,611 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | null | Implement the Python class `getIncome` described below.
Class description:
Implement the getIncome class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=N... | Implement the Python class `getIncome` described below.
Class description:
Implement the getIncome class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=N... | b5ccaad97f6e35f9580e645ca764f36eb3406f43 | <|skeleton|>
class getIncome:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything hap... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class getIncome:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('janellc_rstiffel', 'janellc_rstiffel')
... | the_stack_v2_python_sparse | janellc_rstiffel/getIncome.py | dwang1995/course-2018-spr-proj | train | 1 | |
baeb1692c364b207be0a1e7412fdc8c51b531ed4 | [
"def check(l, r):\n if not l and (not r):\n return True\n elif not l or not r:\n return False\n return check(l.left, r.right) and check(l.right, r.left) if l.val == r.val else False\nreturn check(root, root)",
"queue = [root, root]\nwhile queue:\n t1, t2 = (queue.pop(0), queue.pop(0))\n ... | <|body_start_0|>
def check(l, r):
if not l and (not r):
return True
elif not l or not r:
return False
return check(l.left, r.right) and check(l.right, r.left) if l.val == r.val else False
return check(root, root)
<|end_body_0|>
<|body_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isSymmetric(self, root):
"""递归 :type root: TreeNode :rtype: bool"""
<|body_0|>
def isSymmetric2(self, root):
"""类bfs 每次提取两个结点并比较它们的值。 然后，将两个结点的左右子结点按相反的顺序插入队列中。 当队列为空时，或者我们检测到树不对称（即从队列中取出两个不相等的连续结点）时,算法结束。 :param root: :return:"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_066194 | 2,654 | no_license | [
{
"docstring": "递归 :type root: TreeNode :rtype: bool",
"name": "isSymmetric",
"signature": "def isSymmetric(self, root)"
},
{
"docstring": "类bfs 每次提取两个结点并比较它们的值。 然后，将两个结点的左右子结点按相反的顺序插入队列中。 当队列为空时，或者我们检测到树不对称（即从队列中取出两个不相等的连续结点）时,算法结束。 :param root: :return:",
"name": "isSymmetric2",
"signa... | 3 | stack_v2_sparse_classes_30k_train_022751 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSymmetric(self, root): 递归 :type root: TreeNode :rtype: bool
- def isSymmetric2(self, root): 类bfs 每次提取两个结点并比较它们的值。 然后，将两个结点的左右子结点按相反的顺序插入队列中。 当队列为空时，或者我们检测到树不对称（即从队列中取出两个不相等... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSymmetric(self, root): 递归 :type root: TreeNode :rtype: bool
- def isSymmetric2(self, root): 类bfs 每次提取两个结点并比较它们的值。 然后，将两个结点的左右子结点按相反的顺序插入队列中。 当队列为空时，或者我们检测到树不对称（即从队列中取出两个不相等... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def isSymmetric(self, root):
"""递归 :type root: TreeNode :rtype: bool"""
<|body_0|>
def isSymmetric2(self, root):
"""类bfs 每次提取两个结点并比较它们的值。 然后，将两个结点的左右子结点按相反的顺序插入队列中。 当队列为空时，或者我们检测到树不对称（即从队列中取出两个不相等的连续结点）时,算法结束。 :param root: :return:"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isSymmetric(self, root):
"""递归 :type root: TreeNode :rtype: bool"""
def check(l, r):
if not l and (not r):
return True
elif not l or not r:
return False
return check(l.left, r.right) and check(l.right, r.left) if... | the_stack_v2_python_sparse | 101_对称二叉树.py | lovehhf/LeetCode | train | 0 | |
5ef5945412e965502c46996f9d8489fbdc62663b | [
"if head is None:\n return head\nodd_pointer = head\neven_pointer = even_head = head.next\nwhile even_pointer is not None:\n third_pointer = even_pointer.next\n if third_pointer is None:\n even_pointer.next = None\n else:\n even_pointer.next = third_pointer.next\n odd_pointer.next = thi... | <|body_start_0|>
if head is None:
return head
odd_pointer = head
even_pointer = even_head = head.next
while even_pointer is not None:
third_pointer = even_pointer.next
if third_pointer is None:
even_pointer.next = None
else:... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def oddEvenList(self, head: ListNode) -> ListNode:
"""https://leetcode-cn.com/problems/odd-even-linked-list/solution/qi-ou-lian-biao-by-leetcode-solution/"""
<|body_0|>
def oddEvenList2(self, head: ListNode) -> ListNode:
"""https://leetcode-cn.com/problems/... | stack_v2_sparse_classes_75kplus_train_066195 | 2,773 | no_license | [
{
"docstring": "https://leetcode-cn.com/problems/odd-even-linked-list/solution/qi-ou-lian-biao-by-leetcode-solution/",
"name": "oddEvenList",
"signature": "def oddEvenList(self, head: ListNode) -> ListNode"
},
{
"docstring": "https://leetcode-cn.com/problems/odd-even-linked-list/solution/kuai-la... | 2 | stack_v2_sparse_classes_30k_train_004209 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def oddEvenList(self, head: ListNode) -> ListNode: https://leetcode-cn.com/problems/odd-even-linked-list/solution/qi-ou-lian-biao-by-leetcode-solution/
- def oddEvenList2(self, h... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def oddEvenList(self, head: ListNode) -> ListNode: https://leetcode-cn.com/problems/odd-even-linked-list/solution/qi-ou-lian-biao-by-leetcode-solution/
- def oddEvenList2(self, h... | 3ea03cd8b1fa507553ebee4fd765c4cc4b5814b6 | <|skeleton|>
class Solution:
def oddEvenList(self, head: ListNode) -> ListNode:
"""https://leetcode-cn.com/problems/odd-even-linked-list/solution/qi-ou-lian-biao-by-leetcode-solution/"""
<|body_0|>
def oddEvenList2(self, head: ListNode) -> ListNode:
"""https://leetcode-cn.com/problems/... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def oddEvenList(self, head: ListNode) -> ListNode:
"""https://leetcode-cn.com/problems/odd-even-linked-list/solution/qi-ou-lian-biao-by-leetcode-solution/"""
if head is None:
return head
odd_pointer = head
even_pointer = even_head = head.next
while... | the_stack_v2_python_sparse | Odd_Even_Linked_List_328.py | jay6413682/Leetcode | train | 0 | |
8d25ce8af433792ce2f23ffbd8cf1c5d13d62a8f | [
"sleep(2)\nself.find_ele(self._ele_goto_add_member).click()\nreturn AddMemberPage(self.driver)",
"sleep(2)\nrow_list = self.find_eles(self._row_list)\nname_list = [i.text for i in row_list]\nreturn name_list"
] | <|body_start_0|>
sleep(2)
self.find_ele(self._ele_goto_add_member).click()
return AddMemberPage(self.driver)
<|end_body_0|>
<|body_start_1|>
sleep(2)
row_list = self.find_eles(self._row_list)
name_list = [i.text for i in row_list]
return name_list
<|end_body_1|>
| ContactPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContactPage:
def goto_add_member(self):
"""跳转添加成员页面 :return: AddMember类"""
<|body_0|>
def get_contact_list(self):
"""获取成员列表 :return: 成员名字列表"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sleep(2)
self.find_ele(self._ele_goto_add_member).cli... | stack_v2_sparse_classes_75kplus_train_066196 | 1,581 | no_license | [
{
"docstring": "跳转添加成员页面 :return: AddMember类",
"name": "goto_add_member",
"signature": "def goto_add_member(self)"
},
{
"docstring": "获取成员列表 :return: 成员名字列表",
"name": "get_contact_list",
"signature": "def get_contact_list(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007864 | Implement the Python class `ContactPage` described below.
Class description:
Implement the ContactPage class.
Method signatures and docstrings:
- def goto_add_member(self): 跳转添加成员页面 :return: AddMember类
- def get_contact_list(self): 获取成员列表 :return: 成员名字列表 | Implement the Python class `ContactPage` described below.
Class description:
Implement the ContactPage class.
Method signatures and docstrings:
- def goto_add_member(self): 跳转添加成员页面 :return: AddMember类
- def get_contact_list(self): 获取成员列表 :return: 成员名字列表
<|skeleton|>
class ContactPage:
def goto_add_member(self)... | ba773dc444c005b1dff40a949743e941f7171c86 | <|skeleton|>
class ContactPage:
def goto_add_member(self):
"""跳转添加成员页面 :return: AddMember类"""
<|body_0|>
def get_contact_list(self):
"""获取成员列表 :return: 成员名字列表"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ContactPage:
def goto_add_member(self):
"""跳转添加成员页面 :return: AddMember类"""
sleep(2)
self.find_ele(self._ele_goto_add_member).click()
return AddMemberPage(self.driver)
def get_contact_list(self):
"""获取成员列表 :return: 成员名字列表"""
sleep(2)
row_list = self.... | the_stack_v2_python_sparse | class_3_1_task/page/contact_page.py | wanglei96/taskBase | train | 0 | |
a2d6af3d9ec871089d0fe30569f047ec486de9ac | [
"try:\n template_xsl_rendering_object = template_xsl_rendering_api.get_by_id(pk)\n template_xsl_rendering_serializer = TemplateXslRenderingSerializer(template_xsl_rendering_object)\n return Response(template_xsl_rendering_serializer.data)\nexcept exceptions.DoesNotExist:\n content = {'message': 'XSL ren... | <|body_start_0|>
try:
template_xsl_rendering_object = template_xsl_rendering_api.get_by_id(pk)
template_xsl_rendering_serializer = TemplateXslRenderingSerializer(template_xsl_rendering_object)
return Response(template_xsl_rendering_serializer.data)
except exceptions.D... | TemplateXslRendering details view | TemplateXslRenderingDetail | [
"NIST-Software"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TemplateXslRenderingDetail:
"""TemplateXslRendering details view"""
def get(self, request, pk):
"""Get `TemplateXSLRendering` object from db Args: request: HTTP request pk: ObjectId Returns: TemplateXSLRendering"""
<|body_0|>
def patch(self, request, pk):
"""Edit... | stack_v2_sparse_classes_75kplus_train_066197 | 14,418 | permissive | [
{
"docstring": "Get `TemplateXSLRendering` object from db Args: request: HTTP request pk: ObjectId Returns: TemplateXSLRendering",
"name": "get",
"signature": "def get(self, request, pk)"
},
{
"docstring": "Edit `TemplateXSLRendering` object from db Args: request: HTTP request pk: ObjectId Retur... | 3 | stack_v2_sparse_classes_30k_train_020432 | Implement the Python class `TemplateXslRenderingDetail` described below.
Class description:
TemplateXslRendering details view
Method signatures and docstrings:
- def get(self, request, pk): Get `TemplateXSLRendering` object from db Args: request: HTTP request pk: ObjectId Returns: TemplateXSLRendering
- def patch(sel... | Implement the Python class `TemplateXslRenderingDetail` described below.
Class description:
TemplateXslRendering details view
Method signatures and docstrings:
- def get(self, request, pk): Get `TemplateXSLRendering` object from db Args: request: HTTP request pk: ObjectId Returns: TemplateXSLRendering
- def patch(sel... | f032036d95076f92b164389fdbec7415567e7b0f | <|skeleton|>
class TemplateXslRenderingDetail:
"""TemplateXslRendering details view"""
def get(self, request, pk):
"""Get `TemplateXSLRendering` object from db Args: request: HTTP request pk: ObjectId Returns: TemplateXSLRendering"""
<|body_0|>
def patch(self, request, pk):
"""Edit... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TemplateXslRenderingDetail:
"""TemplateXslRendering details view"""
def get(self, request, pk):
"""Get `TemplateXSLRendering` object from db Args: request: HTTP request pk: ObjectId Returns: TemplateXSLRendering"""
try:
template_xsl_rendering_object = template_xsl_rendering_ap... | the_stack_v2_python_sparse | core_main_app/rest/template_xsl_rendering/views.py | usnistgov/core_main_app | train | 3 |
9d0311eee66d247c2e9b7f04a8f3221b3a29d538 | [
"if num_rows == 1 or num_rows >= len(s):\n return s\nresult = []\ncycle = 2 * num_rows - 2\nfor row in range(num_rows):\n for curr in range(row, len(s), cycle):\n result.append(s[curr])\n mid_row_index = curr + cycle - 2 * row\n if row != 0 and row != num_rows - 1 and (mid_row_index < len... | <|body_start_0|>
if num_rows == 1 or num_rows >= len(s):
return s
result = []
cycle = 2 * num_rows - 2
for row in range(num_rows):
for curr in range(row, len(s), cycle):
result.append(s[curr])
mid_row_index = curr + cycle - 2 * row
... | ZigZag | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZigZag:
def convert_(self, s: str, num_rows: int) -> str:
"""Approach: Visit By Row Time Complexity: O(N) Space Complexity: O(N) :param s: :param num_rows: :return:"""
<|body_0|>
def convert(self, s: str, num_rows: int) -> str:
"""Approach: Sort by Row Time Complexit... | stack_v2_sparse_classes_75kplus_train_066198 | 1,651 | no_license | [
{
"docstring": "Approach: Visit By Row Time Complexity: O(N) Space Complexity: O(N) :param s: :param num_rows: :return:",
"name": "convert_",
"signature": "def convert_(self, s: str, num_rows: int) -> str"
},
{
"docstring": "Approach: Sort by Row Time Complexity: O(N) Space Complexity: O(N) :par... | 2 | stack_v2_sparse_classes_30k_train_014583 | Implement the Python class `ZigZag` described below.
Class description:
Implement the ZigZag class.
Method signatures and docstrings:
- def convert_(self, s: str, num_rows: int) -> str: Approach: Visit By Row Time Complexity: O(N) Space Complexity: O(N) :param s: :param num_rows: :return:
- def convert(self, s: str, ... | Implement the Python class `ZigZag` described below.
Class description:
Implement the ZigZag class.
Method signatures and docstrings:
- def convert_(self, s: str, num_rows: int) -> str: Approach: Visit By Row Time Complexity: O(N) Space Complexity: O(N) :param s: :param num_rows: :return:
- def convert(self, s: str, ... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class ZigZag:
def convert_(self, s: str, num_rows: int) -> str:
"""Approach: Visit By Row Time Complexity: O(N) Space Complexity: O(N) :param s: :param num_rows: :return:"""
<|body_0|>
def convert(self, s: str, num_rows: int) -> str:
"""Approach: Sort by Row Time Complexit... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZigZag:
def convert_(self, s: str, num_rows: int) -> str:
"""Approach: Visit By Row Time Complexity: O(N) Space Complexity: O(N) :param s: :param num_rows: :return:"""
if num_rows == 1 or num_rows >= len(s):
return s
result = []
cycle = 2 * num_rows - 2
for ... | the_stack_v2_python_sparse | revisited__2021/math_and_string/zig_zag_conversion.py | Shiv2157k/leet_code | train | 1 | |
42154493083a67dac70c4862fc1205eb76e4c0e9 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn IntelligenceProfileIndicator()",
"from .indicator import Indicator\nfrom .indicator import Indicator\nfields: Dict[str, Callable[[Any], None]] = {'firstSeenDateTime': lambda n: setattr(self, 'first_seen_date_time', n.get_datetime_value... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return IntelligenceProfileIndicator()
<|end_body_0|>
<|body_start_1|>
from .indicator import Indicator
from .indicator import Indicator
fields: Dict[str, Callable[[Any], None]] = {'firs... | IntelligenceProfileIndicator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IntelligenceProfileIndicator:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IntelligenceProfileIndicator:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value... | stack_v2_sparse_classes_75kplus_train_066199 | 2,959 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: IntelligenceProfileIndicator",
"name": "create_from_discriminator_value",
"signature": "def create_from_disc... | 3 | stack_v2_sparse_classes_30k_train_037587 | Implement the Python class `IntelligenceProfileIndicator` described below.
Class description:
Implement the IntelligenceProfileIndicator class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IntelligenceProfileIndicator: Creates a new instance of the a... | Implement the Python class `IntelligenceProfileIndicator` described below.
Class description:
Implement the IntelligenceProfileIndicator class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IntelligenceProfileIndicator: Creates a new instance of the a... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class IntelligenceProfileIndicator:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IntelligenceProfileIndicator:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IntelligenceProfileIndicator:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IntelligenceProfileIndicator:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create th... | the_stack_v2_python_sparse | msgraph/generated/models/security/intelligence_profile_indicator.py | microsoftgraph/msgraph-sdk-python | train | 135 |
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