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 | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
eadeb1fbd63e59cb74261590abcab27fb903de85 | [
"if head == None:\n return (None, 0)\nseq = []\nwhile head != None:\n seq.append(head.val)\n head = head.next\nreturn (create_reversed_linked_list(seq), len(seq))",
"reversed_head, length = self.reverseList(head)\nfor i in range(int(length / 2)):\n if head.val != reversed_head.val:\n return Fal... | <|body_start_0|>
if head == None:
return (None, 0)
seq = []
while head != None:
seq.append(head.val)
head = head.next
return (create_reversed_linked_list(seq), len(seq))
<|end_body_0|>
<|body_start_1|>
reversed_head, length = self.reverseList(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def isPalindrome(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if head == None:
return (Non... | stack_v2_sparse_classes_75kplus_train_067700 | 1,223 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList",
"signature": "def reverseList(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_val_002084 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): :type head: ListNode :rtype: ListNode
- def isPalindrome(self, head): :type head: ListNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): :type head: ListNode :rtype: ListNode
- def isPalindrome(self, head): :type head: ListNode :rtype: bool
<|skeleton|>
class Solution:
def revers... | 0e95eb7ef8e2c362ef1dab1424bfdffad0daac32 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def isPalindrome(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
if head == None:
return (None, 0)
seq = []
while head != None:
seq.append(head.val)
head = head.next
return (create_reversed_linked_list(seq), len(seq)... | the_stack_v2_python_sparse | top_interview_questions/easy/linked_list_5_palidrome.py | MartinMa28/LeetCode-Solutions | train | 0 | |
c08ee7c9a4a5d43447ec404b66380b97c13783b5 | [
"cleaned_data = super(SignUpForm, self).clean()\npassword = cleaned_data.get('password')\npassword_confirmation = cleaned_data.get('password_confirmation')\nif password and password_confirmation:\n if password != password_confirmation:\n self.add_error('password_confirmation', 'Does not match password')\n... | <|body_start_0|>
cleaned_data = super(SignUpForm, self).clean()
password = cleaned_data.get('password')
password_confirmation = cleaned_data.get('password_confirmation')
if password and password_confirmation:
if password != password_confirmation:
self.add_erro... | Create new user. | SignUpForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignUpForm:
"""Create new user."""
def clean(self):
"""Clean data and add perform custom validation."""
<|body_0|>
def submit(self):
"""Submit the form. Create new user in case of success validation."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_067701 | 3,261 | no_license | [
{
"docstring": "Clean data and add perform custom validation.",
"name": "clean",
"signature": "def clean(self)"
},
{
"docstring": "Submit the form. Create new user in case of success validation.",
"name": "submit",
"signature": "def submit(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_022460 | Implement the Python class `SignUpForm` described below.
Class description:
Create new user.
Method signatures and docstrings:
- def clean(self): Clean data and add perform custom validation.
- def submit(self): Submit the form. Create new user in case of success validation. | Implement the Python class `SignUpForm` described below.
Class description:
Create new user.
Method signatures and docstrings:
- def clean(self): Clean data and add perform custom validation.
- def submit(self): Submit the form. Create new user in case of success validation.
<|skeleton|>
class SignUpForm:
"""Cre... | feac92294756385fe5021bfa838d27b9334d6b7b | <|skeleton|>
class SignUpForm:
"""Create new user."""
def clean(self):
"""Clean data and add perform custom validation."""
<|body_0|>
def submit(self):
"""Submit the form. Create new user in case of success validation."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SignUpForm:
"""Create new user."""
def clean(self):
"""Clean data and add perform custom validation."""
cleaned_data = super(SignUpForm, self).clean()
password = cleaned_data.get('password')
password_confirmation = cleaned_data.get('password_confirmation')
if passw... | the_stack_v2_python_sparse | otus_stackoverflow/user/forms.py | vsokoltsov/OTUS_PYTHON | train | 0 |
da2071dd619a7eb41a093b62b64d613569284d79 | [
"self.user = SocialUser.objects.create(firstName='nauman', lastName='sharif', email='testuser@gmail.com', moderation=False, anonymity=False, is_admin=False)\nself.user.set_password('123')\nself.user.save()\nself.resource_type = ResourceType.objects.create(resource_type='funding')\nself.resource = Resource.objects.c... | <|body_start_0|>
self.user = SocialUser.objects.create(firstName='nauman', lastName='sharif', email='testuser@gmail.com', moderation=False, anonymity=False, is_admin=False)
self.user.set_password('123')
self.user.save()
self.resource_type = ResourceType.objects.create(resource_type='fund... | This class contains tests for updating a network | TestUpdateNetworkView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestUpdateNetworkView:
"""This class contains tests for updating a network"""
def setUp(self):
"""This sets up request to update network :return:"""
<|body_0|>
def test_update_network_view(self):
"""This function makes request to update contact :return:"""
... | stack_v2_sparse_classes_75kplus_train_067702 | 33,021 | no_license | [
{
"docstring": "This sets up request to update network :return:",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "This function makes request to update contact :return:",
"name": "test_update_network_view",
"signature": "def test_update_network_view(self)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_048804 | Implement the Python class `TestUpdateNetworkView` described below.
Class description:
This class contains tests for updating a network
Method signatures and docstrings:
- def setUp(self): This sets up request to update network :return:
- def test_update_network_view(self): This function makes request to update conta... | Implement the Python class `TestUpdateNetworkView` described below.
Class description:
This class contains tests for updating a network
Method signatures and docstrings:
- def setUp(self): This sets up request to update network :return:
- def test_update_network_view(self): This function makes request to update conta... | 4da7f1d7f02695504887287db28f808c637a2286 | <|skeleton|>
class TestUpdateNetworkView:
"""This class contains tests for updating a network"""
def setUp(self):
"""This sets up request to update network :return:"""
<|body_0|>
def test_update_network_view(self):
"""This function makes request to update contact :return:"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestUpdateNetworkView:
"""This class contains tests for updating a network"""
def setUp(self):
"""This sets up request to update network :return:"""
self.user = SocialUser.objects.create(firstName='nauman', lastName='sharif', email='testuser@gmail.com', moderation=False, anonymity=False, ... | the_stack_v2_python_sparse | SocialImpactNetwork/tests.py | nauman-pucit/problem_solver | train | 0 |
e369f08c1559b3e2d7b1bfa9ed77c7631de46291 | [
"super().__init__(**kwargs)\nnum_trees = params.any_(num_trees, lambda i: params.integer(i, above=0), lambda i: params.integer(i, from_=-1, to=-1))\nuse_jackknife = params.boolean(use_jackknife)\nbias_learner = params.any_(bias_learner, lambda arg: params.instance(arg, BaseLoloLearner), params.none)\nleaf_learner =... | <|body_start_0|>
super().__init__(**kwargs)
num_trees = params.any_(num_trees, lambda i: params.integer(i, above=0), lambda i: params.integer(i, from_=-1, to=-1))
use_jackknife = params.boolean(use_jackknife)
bias_learner = params.any_(bias_learner, lambda arg: params.instance(arg, BaseL... | Random forest regression, lolo implementation. See https://github.com/CitrineInformatics/lolo Supports only numeric (vector) inputs and labels. | RandomForestRegressionLolo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomForestRegressionLolo:
"""Random forest regression, lolo implementation. See https://github.com/CitrineInformatics/lolo Supports only numeric (vector) inputs and labels."""
def __init__(self, num_trees: int=-1, use_jackknife: bool=True, bias_learner: Optional[BaseLoloLearner]=None, leaf... | stack_v2_sparse_classes_75kplus_train_067703 | 7,132 | permissive | [
{
"docstring": "Initialize random forest model. See lolo Scala source code for initialization parameters: https://github.com/CitrineInformatics/lolo/blob/develop/src/main/scala/io/citrine/lolo/learners/RandomForest.scala When using `uncertainty_calibration=False` (the default), the number of trees `num_trees` s... | 3 | null | Implement the Python class `RandomForestRegressionLolo` described below.
Class description:
Random forest regression, lolo implementation. See https://github.com/CitrineInformatics/lolo Supports only numeric (vector) inputs and labels.
Method signatures and docstrings:
- def __init__(self, num_trees: int=-1, use_jack... | Implement the Python class `RandomForestRegressionLolo` described below.
Class description:
Random forest regression, lolo implementation. See https://github.com/CitrineInformatics/lolo Supports only numeric (vector) inputs and labels.
Method signatures and docstrings:
- def __init__(self, num_trees: int=-1, use_jack... | e222cf9c126f81edfdb3b2b9a99abac6678129e8 | <|skeleton|>
class RandomForestRegressionLolo:
"""Random forest regression, lolo implementation. See https://github.com/CitrineInformatics/lolo Supports only numeric (vector) inputs and labels."""
def __init__(self, num_trees: int=-1, use_jackknife: bool=True, bias_learner: Optional[BaseLoloLearner]=None, leaf... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomForestRegressionLolo:
"""Random forest regression, lolo implementation. See https://github.com/CitrineInformatics/lolo Supports only numeric (vector) inputs and labels."""
def __init__(self, num_trees: int=-1, use_jackknife: bool=True, bias_learner: Optional[BaseLoloLearner]=None, leaf_learner: Opt... | the_stack_v2_python_sparse | smlb/learners/lolo/random_forest_regression_lolo.py | syam-s/smlb | train | 0 |
a0fa83bbc62260f58d22553a99ae8078a68b5741 | [
"self.max_size = max_size\nself.resolution = resolution\nself.density = density\nself.update_freq = update_freq\nself.rng = np.random.RandomState(seed)\nself.regenerate_cache()",
"low_size = int(self.resolution * self.max_size)\nlow_pattern = self.rng.uniform(0, 1, size=(low_size, low_size)) * 255\nlow_pattern = ... | <|body_start_0|>
self.max_size = max_size
self.resolution = resolution
self.density = density
self.update_freq = update_freq
self.rng = np.random.RandomState(seed)
self.regenerate_cache()
<|end_body_0|>
<|body_start_1|>
low_size = int(self.resolution * self.max_s... | Reproduces "random pattern mask" for inpainting, which was proposed in Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. Context Encoders: Feature Learning by Inpainting. Conference on Computer Vision and Pattern Recognition, 2016. ArXiv link: https://arxiv.org/abs/1604.07379 This code is based on li... | RandomPattern | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomPattern:
"""Reproduces "random pattern mask" for inpainting, which was proposed in Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. Context Encoders: Feature Learning by Inpainting. Conference on Computer Vision and Pattern Recognition, 2016. ArXiv link: https://arxiv.or... | stack_v2_sparse_classes_75kplus_train_067704 | 13,181 | permissive | [
{
"docstring": "Args: max_size (int): the size of big binary matrix resolution (float): the ratio of the small matrix size to the big one. Authors recommend to use values from 0.01 to 0.1. density (float): the binarization threshold, also equals the average ones ratio in the mask update_freq (float): the freque... | 3 | stack_v2_sparse_classes_30k_train_031476 | Implement the Python class `RandomPattern` described below.
Class description:
Reproduces "random pattern mask" for inpainting, which was proposed in Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. Context Encoders: Feature Learning by Inpainting. Conference on Computer Vision and Pattern Recognit... | Implement the Python class `RandomPattern` described below.
Class description:
Reproduces "random pattern mask" for inpainting, which was proposed in Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. Context Encoders: Feature Learning by Inpainting. Conference on Computer Vision and Pattern Recognit... | 50d6c804326b02ba4357865f7346383c1f8c52fb | <|skeleton|>
class RandomPattern:
"""Reproduces "random pattern mask" for inpainting, which was proposed in Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. Context Encoders: Feature Learning by Inpainting. Conference on Computer Vision and Pattern Recognition, 2016. ArXiv link: https://arxiv.or... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomPattern:
"""Reproduces "random pattern mask" for inpainting, which was proposed in Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. Context Encoders: Feature Learning by Inpainting. Conference on Computer Vision and Pattern Recognition, 2016. ArXiv link: https://arxiv.org/abs/1604.07... | the_stack_v2_python_sparse | vaeac/mask_generators.py | seele1917/FaceVideoVAEAC | train | 1 |
9f9f6717a079c2b3628d2793c1b98e0c70d32d24 | [
"VoxelTimeSeries.__init__(self, overlay, overlayList, displayCtx, plotPanel)\nself.parentTs = parentTs\nself.contrast = contrast\nself.fitType = fitType\nself.idx = idx",
"opts = self.displayCtx.getOpts(self.overlay)\ncoords = opts.getVoxel()\nif coords is None:\n return ([], [])\ndata = self.overlay.partialFi... | <|body_start_0|>
VoxelTimeSeries.__init__(self, overlay, overlayList, displayCtx, plotPanel)
self.parentTs = parentTs
self.contrast = contrast
self.fitType = fitType
self.idx = idx
<|end_body_0|>
<|body_start_1|>
opts = self.displayCtx.getOpts(self.overlay)
coord... | A :class:`VoxelTimeSeries` class which represents the partial model fit of an EV or contrast from a FEAT analysis at a specific voxel. Instances of this class are created by the :class:`FEATTimeSeries` class. | FEATPartialFitTimeSeries | [
"BSD-3-Clause",
"CC-BY-3.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FEATPartialFitTimeSeries:
"""A :class:`VoxelTimeSeries` class which represents the partial model fit of an EV or contrast from a FEAT analysis at a specific voxel. Instances of this class are created by the :class:`FEATTimeSeries` class."""
def __init__(self, overlay, overlayList, displayCtx... | stack_v2_sparse_classes_75kplus_train_067705 | 28,910 | permissive | [
{
"docstring": "Create a ``FEATPartialFitTimeSeries``. :arg overlay: The :class:`.FEATImage` instance to extract the data from. :arg overlayList: The :class:`.OverlayList` instance. :arg displayCtx: The :class:`.DisplayContext` instance. :arg plotPanel: The :class:`TimeSeriesPanel` which owns this ``FEATPartial... | 2 | stack_v2_sparse_classes_30k_test_001989 | Implement the Python class `FEATPartialFitTimeSeries` described below.
Class description:
A :class:`VoxelTimeSeries` class which represents the partial model fit of an EV or contrast from a FEAT analysis at a specific voxel. Instances of this class are created by the :class:`FEATTimeSeries` class.
Method signatures a... | Implement the Python class `FEATPartialFitTimeSeries` described below.
Class description:
A :class:`VoxelTimeSeries` class which represents the partial model fit of an EV or contrast from a FEAT analysis at a specific voxel. Instances of this class are created by the :class:`FEATTimeSeries` class.
Method signatures a... | 46ccb4fe2b2346eb57576247f49714032b61307a | <|skeleton|>
class FEATPartialFitTimeSeries:
"""A :class:`VoxelTimeSeries` class which represents the partial model fit of an EV or contrast from a FEAT analysis at a specific voxel. Instances of this class are created by the :class:`FEATTimeSeries` class."""
def __init__(self, overlay, overlayList, displayCtx... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FEATPartialFitTimeSeries:
"""A :class:`VoxelTimeSeries` class which represents the partial model fit of an EV or contrast from a FEAT analysis at a specific voxel. Instances of this class are created by the :class:`FEATTimeSeries` class."""
def __init__(self, overlay, overlayList, displayCtx, plotPanel, ... | the_stack_v2_python_sparse | fsleyes/plotting/timeseries.py | sanjayankur31/fsleyes | train | 1 |
1fd6b82c3bd7a971cc0680e2909ccfd8db83e644 | [
"self._repositories = []\nself.__kinds = set()\nself._controller = False",
"kind = svc_ref.get_property(cohorte.repositories.PROP_FACTORY_MODEL)\nself.__kinds.add(kind)\nself._controller = REQUIRED_REPOSITORIES.issubset(self.__kinds)",
"kind = svc_ref.get_property(cohorte.repositories.PROP_FACTORY_MODEL)\ntry:\... | <|body_start_0|>
self._repositories = []
self.__kinds = set()
self._controller = False
<|end_body_0|>
<|body_start_1|>
kind = svc_ref.get_property(cohorte.repositories.PROP_FACTORY_MODEL)
self.__kinds.add(kind)
self._controller = REQUIRED_REPOSITORIES.issubset(self.__kin... | Looks for the source bundle of components | ComponentFinder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComponentFinder:
"""Looks for the source bundle of components"""
def __init__(self):
"""Sets up members"""
<|body_0|>
def _bind_repository(self, field, svc, svc_ref):
"""A repository has been bound. Starts the timer to provide the service when most of repositorie... | stack_v2_sparse_classes_75kplus_train_067706 | 4,627 | permissive | [
{
"docstring": "Sets up members",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "A repository has been bound. Starts the timer to provide the service when most of repositories have been bound.",
"name": "_bind_repository",
"signature": "def _bind_repository(self... | 4 | stack_v2_sparse_classes_30k_train_039986 | Implement the Python class `ComponentFinder` described below.
Class description:
Looks for the source bundle of components
Method signatures and docstrings:
- def __init__(self): Sets up members
- def _bind_repository(self, field, svc, svc_ref): A repository has been bound. Starts the timer to provide the service whe... | Implement the Python class `ComponentFinder` described below.
Class description:
Looks for the source bundle of components
Method signatures and docstrings:
- def __init__(self): Sets up members
- def _bind_repository(self, field, svc, svc_ref): A repository has been bound. Starts the timer to provide the service whe... | 686556cdde20beba77ae202de9969be46feed5e2 | <|skeleton|>
class ComponentFinder:
"""Looks for the source bundle of components"""
def __init__(self):
"""Sets up members"""
<|body_0|>
def _bind_repository(self, field, svc, svc_ref):
"""A repository has been bound. Starts the timer to provide the service when most of repositorie... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ComponentFinder:
"""Looks for the source bundle of components"""
def __init__(self):
"""Sets up members"""
self._repositories = []
self.__kinds = set()
self._controller = False
def _bind_repository(self, field, svc, svc_ref):
"""A repository has been bound. St... | the_stack_v2_python_sparse | python/cohorte/composer/node/finder.py | cohorte/cohorte-runtime | train | 3 |
26fac3c68d357edadb5ae307b68ba5eafc4a147a | [
"array = tf.convert_to_tensor(array, dtype=tf.float16)\nstandardized_array = load._standardize_data(array, epsilon=0)\nnp.testing.assert_allclose(np.array(standardized_array), np.array([-1.225, 0.0, 1.225]), rtol=0.001, atol=0)",
"data = load._preprocess_structured_data(features, label)\nchex.assert_shape(data.x,... | <|body_start_0|>
array = tf.convert_to_tensor(array, dtype=tf.float16)
standardized_array = load._standardize_data(array, epsilon=0)
np.testing.assert_allclose(np.array(standardized_array), np.array([-1.225, 0.0, 1.225]), rtol=0.001, atol=0)
<|end_body_0|>
<|body_start_1|>
data = load._... | LoadTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoadTest:
def test_standardize_data(self, array: np.ndarray):
"""Test data standardization method."""
<|body_0|>
def test_preprocess_structured_data(self, features: load.Features, label: int):
"""Test converting structured data into testbed standardized dictionary fo... | stack_v2_sparse_classes_75kplus_train_067707 | 3,101 | permissive | [
{
"docstring": "Test data standardization method.",
"name": "test_standardize_data",
"signature": "def test_standardize_data(self, array: np.ndarray)"
},
{
"docstring": "Test converting structured data into testbed standardized dictionary format.",
"name": "test_preprocess_structured_data",
... | 4 | stack_v2_sparse_classes_30k_train_027556 | Implement the Python class `LoadTest` described below.
Class description:
Implement the LoadTest class.
Method signatures and docstrings:
- def test_standardize_data(self, array: np.ndarray): Test data standardization method.
- def test_preprocess_structured_data(self, features: load.Features, label: int): Test conve... | Implement the Python class `LoadTest` described below.
Class description:
Implement the LoadTest class.
Method signatures and docstrings:
- def test_standardize_data(self, array: np.ndarray): Test data standardization method.
- def test_preprocess_structured_data(self, features: load.Features, label: int): Test conve... | cc2e3de49c29f29852c8cd5885ab54fb6e664e2e | <|skeleton|>
class LoadTest:
def test_standardize_data(self, array: np.ndarray):
"""Test data standardization method."""
<|body_0|>
def test_preprocess_structured_data(self, features: load.Features, label: int):
"""Test converting structured data into testbed standardized dictionary fo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoadTest:
def test_standardize_data(self, array: np.ndarray):
"""Test data standardization method."""
array = tf.convert_to_tensor(array, dtype=tf.float16)
standardized_array = load._standardize_data(array, epsilon=0)
np.testing.assert_allclose(np.array(standardized_array), np.... | the_stack_v2_python_sparse | neural_testbed/real_data/load_classification_test.py | Aakanksha-Rana/neural_testbed | train | 0 | |
48322d67d5b079b797aa53406a367c8fa18616d8 | [
"adjList = [[] for _ in range(n)]\ndeg = [0] * n\nfor cur, pre in prerequisites:\n adjList[pre].append(cur)\n deg[cur] += 1\nparent = [0] * n\nqueue = deque([i for i in range(n) if deg[i] == 0])\nwhile queue:\n cur = queue.popleft()\n for next in adjList[cur]:\n parent[next] |= parent[cur] | 1 <<... | <|body_start_0|>
adjList = [[] for _ in range(n)]
deg = [0] * n
for cur, pre in prerequisites:
adjList[pre].append(cur)
deg[cur] += 1
parent = [0] * n
queue = deque([i for i in range(n) if deg[i] == 0])
while queue:
cur = queue.popleft(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def checkIfPrerequisite(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]:
"""回答课程 uj 是否是课程 vj 的先决条件。"""
<|body_0|>
def checkIfPrerequisite2(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]:
... | stack_v2_sparse_classes_75kplus_train_067708 | 1,445 | no_license | [
{
"docstring": "回答课程 uj 是否是课程 vj 的先决条件。",
"name": "checkIfPrerequisite",
"signature": "def checkIfPrerequisite(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]"
},
{
"docstring": "回答课程 uj 是否是课程 vj 的先决条件。",
"name": "checkIfPrerequisite2",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_044352 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def checkIfPrerequisite(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]: 回答课程 uj 是否是课程 vj 的先决条件。
- def checkIfPrerequisite2(self, n: int, pr... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def checkIfPrerequisite(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]: 回答课程 uj 是否是课程 vj 的先决条件。
- def checkIfPrerequisite2(self, n: int, pr... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def checkIfPrerequisite(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]:
"""回答课程 uj 是否是课程 vj 的先决条件。"""
<|body_0|>
def checkIfPrerequisite2(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def checkIfPrerequisite(self, n: int, prerequisites: List[List[int]], queries: List[List[int]]) -> List[bool]:
"""回答课程 uj 是否是课程 vj 的先决条件。"""
adjList = [[] for _ in range(n)]
deg = [0] * n
for cur, pre in prerequisites:
adjList[pre].append(cur)
... | the_stack_v2_python_sparse | 7_graph/带权图最短路和最小生成树/floyd多源/1462. 课程表 IV.py | 981377660LMT/algorithm-study | train | 225 | |
9d13f71e4e419964ca485a084ccae702002c48e8 | [
"self.mModel = model\nself.mModel_2 = model_2\nself.mView = MainWindow(self.mModel, self.mModel_2, self)\nself.mView.show()",
"print('Controller, start_inductor_calculation')\ninductor_parameters = self.mView.get_inductor_parameters()\ninductor_parameters['type'] = 'inductor'\ntry:\n self.mModel.set_data_from_... | <|body_start_0|>
self.mModel = model
self.mModel_2 = model_2
self.mView = MainWindow(self.mModel, self.mModel_2, self)
self.mView.show()
<|end_body_0|>
<|body_start_1|>
print('Controller, start_inductor_calculation')
inductor_parameters = self.mView.get_inductor_paramete... | MiomContrioller | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MiomContrioller:
def __init__(self, model, model_2):
"""Принимает ссылку на модель. Создает и отображает внешний вид (gui) приложения :param model: ссылка на модель"""
<|body_0|>
def start_inductor_calculation(self):
"""Расчет индуктора :return:"""
<|body_1|>... | stack_v2_sparse_classes_75kplus_train_067709 | 6,829 | no_license | [
{
"docstring": "Принимает ссылку на модель. Создает и отображает внешний вид (gui) приложения :param model: ссылка на модель",
"name": "__init__",
"signature": "def __init__(self, model, model_2)"
},
{
"docstring": "Расчет индуктора :return:",
"name": "start_inductor_calculation",
"signa... | 5 | null | Implement the Python class `MiomContrioller` described below.
Class description:
Implement the MiomContrioller class.
Method signatures and docstrings:
- def __init__(self, model, model_2): Принимает ссылку на модель. Создает и отображает внешний вид (gui) приложения :param model: ссылка на модель
- def start_inducto... | Implement the Python class `MiomContrioller` described below.
Class description:
Implement the MiomContrioller class.
Method signatures and docstrings:
- def __init__(self, model, model_2): Принимает ссылку на модель. Создает и отображает внешний вид (gui) приложения :param model: ссылка на модель
- def start_inducto... | cea9865ea834da01c9da367d29ea91f24da13380 | <|skeleton|>
class MiomContrioller:
def __init__(self, model, model_2):
"""Принимает ссылку на модель. Создает и отображает внешний вид (gui) приложения :param model: ссылка на модель"""
<|body_0|>
def start_inductor_calculation(self):
"""Расчет индуктора :return:"""
<|body_1|>... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MiomContrioller:
def __init__(self, model, model_2):
"""Принимает ссылку на модель. Создает и отображает внешний вид (gui) приложения :param model: ссылка на модель"""
self.mModel = model
self.mModel_2 = model_2
self.mView = MainWindow(self.mModel, self.mModel_2, self)
... | the_stack_v2_python_sparse | Python/controller/MiomController.py | Kroshy1984/MIOM | train | 0 | |
1e860fb837123697ff4af0713ecba6bb8ce4b80f | [
"sn = len(s)\npn = len(p)\ndp = [[False] * (pn + 1) for _ in range(sn + 1)]\ndp[0][0] = True\nfor j in range(1, pn + 1):\n if p[j - 1] == '*':\n dp[0][j] = dp[0][j - 1]\nfor i in range(1, sn + 1):\n for j in range(1, pn + 1):\n if s[i - 1] == p[j - 1] or p[j - 1] == '?':\n dp[i][j] = ... | <|body_start_0|>
sn = len(s)
pn = len(p)
dp = [[False] * (pn + 1) for _ in range(sn + 1)]
dp[0][0] = True
for j in range(1, pn + 1):
if p[j - 1] == '*':
dp[0][j] = dp[0][j - 1]
for i in range(1, sn + 1):
for j in range(1, pn + 1):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isMatch(self, s, p):
"""动态规划"""
<|body_0|>
def isMatch1(self, s, p):
"""双指针法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sn = len(s)
pn = len(p)
dp = [[False] * (pn + 1) for _ in range(sn + 1)]
dp[0][0] = Tr... | stack_v2_sparse_classes_75kplus_train_067710 | 1,627 | no_license | [
{
"docstring": "动态规划",
"name": "isMatch",
"signature": "def isMatch(self, s, p)"
},
{
"docstring": "双指针法",
"name": "isMatch1",
"signature": "def isMatch1(self, s, p)"
}
] | 2 | stack_v2_sparse_classes_30k_train_049666 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isMatch(self, s, p): 动态规划
- def isMatch1(self, s, p): 双指针法 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isMatch(self, s, p): 动态规划
- def isMatch1(self, s, p): 双指针法
<|skeleton|>
class Solution:
def isMatch(self, s, p):
"""动态规划"""
<|body_0|>
def isMatch1... | 3f4284330f9771037ca59e2e6a94122e51e58540 | <|skeleton|>
class Solution:
def isMatch(self, s, p):
"""动态规划"""
<|body_0|>
def isMatch1(self, s, p):
"""双指针法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isMatch(self, s, p):
"""动态规划"""
sn = len(s)
pn = len(p)
dp = [[False] * (pn + 1) for _ in range(sn + 1)]
dp[0][0] = True
for j in range(1, pn + 1):
if p[j - 1] == '*':
dp[0][j] = dp[0][j - 1]
for i in range(1, sn... | the_stack_v2_python_sparse | Leetcode/44.通配符匹配.py | myf-algorithm/Leetcode | train | 1 | |
b49f9d70d758291e37b61df276128e943eb5a185 | [
"ComponentWrapper.__init__(self, tag, xmldoc, tarsqi_instance)\nself.component_name = PREPROCESSOR\nself.DIR_PRE = os.path.join(TTK_ROOT, 'components', 'preprocessing')\nself.CREATION_EXTENSION = 'txt'\nself.RETRIEVAL_EXTENSION = 'cnk2'",
"self.create_fragments(self.tag, remove_tags=True)\nself.process_fragments(... | <|body_start_0|>
ComponentWrapper.__init__(self, tag, xmldoc, tarsqi_instance)
self.component_name = PREPROCESSOR
self.DIR_PRE = os.path.join(TTK_ROOT, 'components', 'preprocessing')
self.CREATION_EXTENSION = 'txt'
self.RETRIEVAL_EXTENSION = 'cnk2'
<|end_body_0|>
<|body_start_1|... | Wrapper for the preprocessing components. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_PRE - directry where the preprocessor code lives see ComponentWrapper for other variables. | PreprocessorWrapper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PreprocessorWrapper:
"""Wrapper for the preprocessing components. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_PRE - directry where the preprocessor code lives see ComponentWrapper for other variables."""
def __init__(self, tag, xmldoc, tarsqi_... | stack_v2_sparse_classes_75kplus_train_067711 | 5,172 | no_license | [
{
"docstring": "Calls __init__ of the base class and sets component_name, DIR_PRE, CREATION_EXTENSION and RETRIEVAL_EXTENSION.",
"name": "__init__",
"signature": "def __init__(self, tag, xmldoc, tarsqi_instance)"
},
{
"docstring": "This is one of the few components that overwrites the base class... | 6 | stack_v2_sparse_classes_30k_train_017988 | Implement the Python class `PreprocessorWrapper` described below.
Class description:
Wrapper for the preprocessing components. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_PRE - directry where the preprocessor code lives see ComponentWrapper for other variables.
Method ... | Implement the Python class `PreprocessorWrapper` described below.
Class description:
Wrapper for the preprocessing components. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_PRE - directry where the preprocessor code lives see ComponentWrapper for other variables.
Method ... | efb55fa054e2313fd710939330a4fbda5634cb41 | <|skeleton|>
class PreprocessorWrapper:
"""Wrapper for the preprocessing components. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_PRE - directry where the preprocessor code lives see ComponentWrapper for other variables."""
def __init__(self, tag, xmldoc, tarsqi_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PreprocessorWrapper:
"""Wrapper for the preprocessing components. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_PRE - directry where the preprocessor code lives see ComponentWrapper for other variables."""
def __init__(self, tag, xmldoc, tarsqi_instance):
... | the_stack_v2_python_sparse | code/components/preprocessing/wrapper.py | tankle/TARSQI | train | 1 |
68a6ada51916da01cfa504b14c7168c4209b108a | [
"s = Selector(response)\njobs = s.css(self.job_selector)\nfor job in jobs:\n joblink = job.xpath('h2/a/@href').extract_first()\n if not joblink:\n continue\n item = JobItem()\n item['url'] = urljoin(self.root, joblink)\n item['title'] = job.xpath('h2/a/@title').extract_first()\n item['text'... | <|body_start_0|>
s = Selector(response)
jobs = s.css(self.job_selector)
for job in jobs:
joblink = job.xpath('h2/a/@href').extract_first()
if not joblink:
continue
item = JobItem()
item['url'] = urljoin(self.root, joblink)
... | Spider for indeed.com This is a simple site with a single page of jobs, with links to the ads. | IndeedSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IndeedSpider:
"""Spider for indeed.com This is a simple site with a single page of jobs, with links to the ads."""
def parse(self, response):
"""Get the joblinks and hand them off."""
<|body_0|>
def parse_job(self, response):
"""Parse a joblink into a JobItem."""... | stack_v2_sparse_classes_75kplus_train_067712 | 1,990 | no_license | [
{
"docstring": "Get the joblinks and hand them off.",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "Parse a joblink into a JobItem.",
"name": "parse_job",
"signature": "def parse_job(self, response)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002751 | Implement the Python class `IndeedSpider` described below.
Class description:
Spider for indeed.com This is a simple site with a single page of jobs, with links to the ads.
Method signatures and docstrings:
- def parse(self, response): Get the joblinks and hand them off.
- def parse_job(self, response): Parse a jobli... | Implement the Python class `IndeedSpider` described below.
Class description:
Spider for indeed.com This is a simple site with a single page of jobs, with links to the ads.
Method signatures and docstrings:
- def parse(self, response): Get the joblinks and hand them off.
- def parse_job(self, response): Parse a jobli... | f6a8415d4812d7e52760bff5002b14a748f496ca | <|skeleton|>
class IndeedSpider:
"""Spider for indeed.com This is a simple site with a single page of jobs, with links to the ads."""
def parse(self, response):
"""Get the joblinks and hand them off."""
<|body_0|>
def parse_job(self, response):
"""Parse a joblink into a JobItem."""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IndeedSpider:
"""Spider for indeed.com This is a simple site with a single page of jobs, with links to the ads."""
def parse(self, response):
"""Get the joblinks and hand them off."""
s = Selector(response)
jobs = s.css(self.job_selector)
for job in jobs:
jobli... | the_stack_v2_python_sparse | remotor/spiders/indeed.py | rongyj/remotor | train | 0 |
be96b9bf484a3a706e5cb39905bd52c347828982 | [
"perm = CanEditIfOwner()\nfor method in ('GET', 'HEAD', 'OPTIONS'):\n request = Mock(method=method)\n with mute_signals(post_save):\n profile = ProfileFactory.create()\n assert perm.has_object_permission(request, None, profile)",
"perm = CanEditIfOwner()\nfor method in ('POST', 'PATCH', 'PUT'):\n ... | <|body_start_0|>
perm = CanEditIfOwner()
for method in ('GET', 'HEAD', 'OPTIONS'):
request = Mock(method=method)
with mute_signals(post_save):
profile = ProfileFactory.create()
assert perm.has_object_permission(request, None, profile)
<|end_body_0|>
<... | Tests for CanEditIfOwner permissions | CanEditIfOwnerTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CanEditIfOwnerTests:
"""Tests for CanEditIfOwner permissions"""
def test_allow_nonedit(self):
"""Users are allowed to use safe methods without owning the profile."""
<|body_0|>
def test_edit_if_owner(self):
"""Users are allowed to edit their own profile"""
... | stack_v2_sparse_classes_75kplus_train_067713 | 7,670 | permissive | [
{
"docstring": "Users are allowed to use safe methods without owning the profile.",
"name": "test_allow_nonedit",
"signature": "def test_allow_nonedit(self)"
},
{
"docstring": "Users are allowed to edit their own profile",
"name": "test_edit_if_owner",
"signature": "def test_edit_if_owne... | 3 | stack_v2_sparse_classes_30k_train_013263 | Implement the Python class `CanEditIfOwnerTests` described below.
Class description:
Tests for CanEditIfOwner permissions
Method signatures and docstrings:
- def test_allow_nonedit(self): Users are allowed to use safe methods without owning the profile.
- def test_edit_if_owner(self): Users are allowed to edit their ... | Implement the Python class `CanEditIfOwnerTests` described below.
Class description:
Tests for CanEditIfOwner permissions
Method signatures and docstrings:
- def test_allow_nonedit(self): Users are allowed to use safe methods without owning the profile.
- def test_edit_if_owner(self): Users are allowed to edit their ... | d6564caca0b7bbfd31e67a751564107fd17d6eb0 | <|skeleton|>
class CanEditIfOwnerTests:
"""Tests for CanEditIfOwner permissions"""
def test_allow_nonedit(self):
"""Users are allowed to use safe methods without owning the profile."""
<|body_0|>
def test_edit_if_owner(self):
"""Users are allowed to edit their own profile"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CanEditIfOwnerTests:
"""Tests for CanEditIfOwner permissions"""
def test_allow_nonedit(self):
"""Users are allowed to use safe methods without owning the profile."""
perm = CanEditIfOwner()
for method in ('GET', 'HEAD', 'OPTIONS'):
request = Mock(method=method)
... | the_stack_v2_python_sparse | profiles/permissions_test.py | mitodl/micromasters | train | 35 |
001d52c1f8244b72f82d25a0ab536d13f7a82d7b | [
"super().__init__(coordinator)\nself._attr_device_info = DeviceInfo(entry_type=DeviceEntryType.SERVICE, identifiers={(DOMAIN, str(coordinator.gios.station_id))}, manufacturer=MANUFACTURER, name=name, configuration_url=URL.format(station_id=coordinator.gios.station_id))\nself._attr_unique_id = f'{coordinator.gios.st... | <|body_start_0|>
super().__init__(coordinator)
self._attr_device_info = DeviceInfo(entry_type=DeviceEntryType.SERVICE, identifiers={(DOMAIN, str(coordinator.gios.station_id))}, manufacturer=MANUFACTURER, name=name, configuration_url=URL.format(station_id=coordinator.gios.station_id))
self._attr_... | Define an GIOS sensor. | GiosSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GiosSensor:
"""Define an GIOS sensor."""
def __init__(self, name: str, coordinator: GiosDataUpdateCoordinator, description: GiosSensorEntityDescription) -> None:
"""Initialize."""
<|body_0|>
def extra_state_attributes(self) -> dict[str, Any]:
"""Return the state ... | stack_v2_sparse_classes_75kplus_train_067714 | 6,871 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, name: str, coordinator: GiosDataUpdateCoordinator, description: GiosSensorEntityDescription) -> None"
},
{
"docstring": "Return the state attributes.",
"name": "extra_state_attributes",
"signature": "def e... | 3 | stack_v2_sparse_classes_30k_train_034313 | Implement the Python class `GiosSensor` described below.
Class description:
Define an GIOS sensor.
Method signatures and docstrings:
- def __init__(self, name: str, coordinator: GiosDataUpdateCoordinator, description: GiosSensorEntityDescription) -> None: Initialize.
- def extra_state_attributes(self) -> dict[str, An... | Implement the Python class `GiosSensor` described below.
Class description:
Define an GIOS sensor.
Method signatures and docstrings:
- def __init__(self, name: str, coordinator: GiosDataUpdateCoordinator, description: GiosSensorEntityDescription) -> None: Initialize.
- def extra_state_attributes(self) -> dict[str, An... | bfa315be51371a1b63e04342a0b275a57ae148bd | <|skeleton|>
class GiosSensor:
"""Define an GIOS sensor."""
def __init__(self, name: str, coordinator: GiosDataUpdateCoordinator, description: GiosSensorEntityDescription) -> None:
"""Initialize."""
<|body_0|>
def extra_state_attributes(self) -> dict[str, Any]:
"""Return the state ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GiosSensor:
"""Define an GIOS sensor."""
def __init__(self, name: str, coordinator: GiosDataUpdateCoordinator, description: GiosSensorEntityDescription) -> None:
"""Initialize."""
super().__init__(coordinator)
self._attr_device_info = DeviceInfo(entry_type=DeviceEntryType.SERVICE,... | the_stack_v2_python_sparse | homeassistant/components/gios/sensor.py | bdraco/home-assistant | train | 13 |
05539d9636236140cbb9aa9561f74db57fc9e96b | [
"super(GlobalAndArmCommonTowerNetwork, self).__init__(input_tensor_spec=observation_spec, state_spec=(), name=name)\nself._global_network = global_network\nself._arm_network = arm_network\nself._common_network = common_network",
"global_obs = observation[bandit_spec_utils.GLOBAL_FEATURE_KEY]\narm_obs = observatio... | <|body_start_0|>
super(GlobalAndArmCommonTowerNetwork, self).__init__(input_tensor_spec=observation_spec, state_spec=(), name=name)
self._global_network = global_network
self._arm_network = arm_network
self._common_network = common_network
<|end_body_0|>
<|body_start_1|>
global_... | A network that takes global and arm observations and outputs rewards. This network takes the output of the global and per-arm networks, and leads them through a common network, that in turn outputs reward estimates. | GlobalAndArmCommonTowerNetwork | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GlobalAndArmCommonTowerNetwork:
"""A network that takes global and arm observations and outputs rewards. This network takes the output of the global and per-arm networks, and leads them through a common network, that in turn outputs reward estimates."""
def __init__(self, observation_spec: t... | stack_v2_sparse_classes_75kplus_train_067715 | 13,061 | permissive | [
{
"docstring": "Initializes an instance of `GlobalAndArmCommonTowerNetwork`. The network architecture contains networks for both the global and the arm features. The outputs of these networks are concatenated and led through a third (common) network which in turn outputs reward estimates. Args: observation_spec... | 2 | stack_v2_sparse_classes_30k_train_023078 | Implement the Python class `GlobalAndArmCommonTowerNetwork` described below.
Class description:
A network that takes global and arm observations and outputs rewards. This network takes the output of the global and per-arm networks, and leads them through a common network, that in turn outputs reward estimates.
Method... | Implement the Python class `GlobalAndArmCommonTowerNetwork` described below.
Class description:
A network that takes global and arm observations and outputs rewards. This network takes the output of the global and per-arm networks, and leads them through a common network, that in turn outputs reward estimates.
Method... | eca1093d3a047e538f17f6ab92ab4d8144284f23 | <|skeleton|>
class GlobalAndArmCommonTowerNetwork:
"""A network that takes global and arm observations and outputs rewards. This network takes the output of the global and per-arm networks, and leads them through a common network, that in turn outputs reward estimates."""
def __init__(self, observation_spec: t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GlobalAndArmCommonTowerNetwork:
"""A network that takes global and arm observations and outputs rewards. This network takes the output of the global and per-arm networks, and leads them through a common network, that in turn outputs reward estimates."""
def __init__(self, observation_spec: types.NestedTe... | the_stack_v2_python_sparse | tf_agents/bandits/networks/global_and_arm_feature_network.py | tensorflow/agents | train | 2,755 |
975c513fb390cf934b4c683289d0a80c97bc8644 | [
"context = super(PendingEntryListView, self).get_context_data(**kwargs)\ncontext['num_entries'] = self.get_queryset().count()\ncontext['unapproved'] = True\ncontext['entries'] = Entry.objects.filter(version=self.version)\nreturn context",
"if self.queryset is None:\n project_slug = self.kwargs.get('project_slu... | <|body_start_0|>
context = super(PendingEntryListView, self).get_context_data(**kwargs)
context['num_entries'] = self.get_queryset().count()
context['unapproved'] = True
context['entries'] = Entry.objects.filter(version=self.version)
return context
<|end_body_0|>
<|body_start_1|... | List view for pending Entry. | PendingEntryListView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PendingEntryListView:
"""List view for pending Entry."""
def get_context_data(self, **kwargs):
"""Get the context data which is passed to a template. :param kwargs: Any arguments to pass to the superclass. :type kwargs: dict :returns: Context data which will be passed to the template... | stack_v2_sparse_classes_75kplus_train_067716 | 13,902 | no_license | [
{
"docstring": "Get the context data which is passed to a template. :param kwargs: Any arguments to pass to the superclass. :type kwargs: dict :returns: Context data which will be passed to the template. :rtype: dict",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
... | 2 | stack_v2_sparse_classes_30k_train_002817 | Implement the Python class `PendingEntryListView` described below.
Class description:
List view for pending Entry.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Get the context data which is passed to a template. :param kwargs: Any arguments to pass to the superclass. :type kwargs: dict :r... | Implement the Python class `PendingEntryListView` described below.
Class description:
List view for pending Entry.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Get the context data which is passed to a template. :param kwargs: Any arguments to pass to the superclass. :type kwargs: dict :r... | ca489c38fdfde29f75c9c1e7f4b4c55d78d91c79 | <|skeleton|>
class PendingEntryListView:
"""List view for pending Entry."""
def get_context_data(self, **kwargs):
"""Get the context data which is passed to a template. :param kwargs: Any arguments to pass to the superclass. :type kwargs: dict :returns: Context data which will be passed to the template... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PendingEntryListView:
"""List view for pending Entry."""
def get_context_data(self, **kwargs):
"""Get the context data which is passed to a template. :param kwargs: Any arguments to pass to the superclass. :type kwargs: dict :returns: Context data which will be passed to the template. :rtype: dic... | the_stack_v2_python_sparse | django_project/changes/views/entry.py | gitter-badger/projecta | train | 0 |
11bc4a9a07feb860f7344d807e54add28090193a | [
"json_str = session_details.to_json()\nwith open(session_details_file_path, 'w') as outfile:\n json.dump(json_str, outfile, sort_keys=False, indent=4, separators=(',', ': '), ensure_ascii=False)",
"try:\n with open(session_file_path) as data_file:\n data_loaded = json.load(data_file)\n session... | <|body_start_0|>
json_str = session_details.to_json()
with open(session_details_file_path, 'w') as outfile:
json.dump(json_str, outfile, sort_keys=False, indent=4, separators=(',', ': '), ensure_ascii=False)
<|end_body_0|>
<|body_start_1|>
try:
with open(session_file_pat... | - Reads and writes the file that contains the session details. | SessionRW | [
"CC-BY-3.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SessionRW:
"""- Reads and writes the file that contains the session details."""
def write_session_details_file(session_details_file_path: str, session_details: SessionDetails):
"""- Writes the file that contains the session details. :param session_details_file_path: NewFileDetails in... | stack_v2_sparse_classes_75kplus_train_067717 | 1,810 | permissive | [
{
"docstring": "- Writes the file that contains the session details. :param session_details_file_path: NewFileDetails instance. :param session_details: SessionDetails instance.",
"name": "write_session_details_file",
"signature": "def write_session_details_file(session_details_file_path: str, session_de... | 2 | stack_v2_sparse_classes_30k_train_025688 | Implement the Python class `SessionRW` described below.
Class description:
- Reads and writes the file that contains the session details.
Method signatures and docstrings:
- def write_session_details_file(session_details_file_path: str, session_details: SessionDetails): - Writes the file that contains the session det... | Implement the Python class `SessionRW` described below.
Class description:
- Reads and writes the file that contains the session details.
Method signatures and docstrings:
- def write_session_details_file(session_details_file_path: str, session_details: SessionDetails): - Writes the file that contains the session det... | 138c7fa83e084ccb8f5c2ad8827f1fbb2527c00c | <|skeleton|>
class SessionRW:
"""- Reads and writes the file that contains the session details."""
def write_session_details_file(session_details_file_path: str, session_details: SessionDetails):
"""- Writes the file that contains the session details. :param session_details_file_path: NewFileDetails in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SessionRW:
"""- Reads and writes the file that contains the session details."""
def write_session_details_file(session_details_file_path: str, session_details: SessionDetails):
"""- Writes the file that contains the session details. :param session_details_file_path: NewFileDetails instance. :para... | the_stack_v2_python_sparse | file_experts/session_rw.py | iliesidaniel/image-classification | train | 0 |
621f6c9e90837346e3f9d30bac102d91a0d37551 | [
"self.country = country\nself.url = 'https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_{}_hot/items?start={}&count=18'\nself.headers = {'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 9_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13B143 Safari/601.1', 'Referer': 'htt... | <|body_start_0|>
self.country = country
self.url = 'https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_{}_hot/items?start={}&count=18'
self.headers = {'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 9_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13B... | 豆瓣电视爬虫 | TvSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TvSpider:
"""豆瓣电视爬虫"""
def __init__(self, country):
"""爬虫类的初始化 :param country: 要爬去的国家，命名需与豆瓣的相契合"""
<|body_0|>
def write_data(self, file_dict, filename):
"""定义文件写入函数 传入一个字典 和文件名"""
<|body_1|>
def parse_url(self, url):
"""请求网址 获取返回的json数据"""
... | stack_v2_sparse_classes_75kplus_train_067718 | 5,963 | no_license | [
{
"docstring": "爬虫类的初始化 :param country: 要爬去的国家，命名需与豆瓣的相契合",
"name": "__init__",
"signature": "def __init__(self, country)"
},
{
"docstring": "定义文件写入函数 传入一个字典 和文件名",
"name": "write_data",
"signature": "def write_data(self, file_dict, filename)"
},
{
"docstring": "请求网址 获取返回的json数据"... | 4 | stack_v2_sparse_classes_30k_train_023401 | Implement the Python class `TvSpider` described below.
Class description:
豆瓣电视爬虫
Method signatures and docstrings:
- def __init__(self, country): 爬虫类的初始化 :param country: 要爬去的国家，命名需与豆瓣的相契合
- def write_data(self, file_dict, filename): 定义文件写入函数 传入一个字典 和文件名
- def parse_url(self, url): 请求网址 获取返回的json数据
- def run(self): 爬取... | Implement the Python class `TvSpider` described below.
Class description:
豆瓣电视爬虫
Method signatures and docstrings:
- def __init__(self, country): 爬虫类的初始化 :param country: 要爬去的国家，命名需与豆瓣的相契合
- def write_data(self, file_dict, filename): 定义文件写入函数 传入一个字典 和文件名
- def parse_url(self, url): 请求网址 获取返回的json数据
- def run(self): 爬取... | 45fccf8a293a87b079c106274c59f990adef456a | <|skeleton|>
class TvSpider:
"""豆瓣电视爬虫"""
def __init__(self, country):
"""爬虫类的初始化 :param country: 要爬去的国家，命名需与豆瓣的相契合"""
<|body_0|>
def write_data(self, file_dict, filename):
"""定义文件写入函数 传入一个字典 和文件名"""
<|body_1|>
def parse_url(self, url):
"""请求网址 获取返回的json数据"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TvSpider:
"""豆瓣电视爬虫"""
def __init__(self, country):
"""爬虫类的初始化 :param country: 要爬去的国家，命名需与豆瓣的相契合"""
self.country = country
self.url = 'https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_{}_hot/items?start={}&count=18'
self.headers = {'User-Agent': 'Mozilla/5.0... | the_stack_v2_python_sparse | day03/douban.py | heyhpython/spider_project | train | 0 |
98d2286088ace086eb756f23eb263c882928e2f5 | [
"if errors is None or len(errors) <= 0:\n errors = (Exception,)\nself._errors = errors\nself._log = options.get('log', True)\nsuper().__init__()",
"suppressed = isinstance(exc_value, self._errors)\nif suppressed is True and self._log is True:\n logging_services.exception(str(exc_value))\nreturn suppressed"
... | <|body_start_0|>
if errors is None or len(errors) <= 0:
errors = (Exception,)
self._errors = errors
self._log = options.get('log', True)
super().__init__()
<|end_body_0|>
<|body_start_1|>
suppressed = isinstance(exc_value, self._errors)
if suppressed is True ... | context manager to suppress any exceptions and logs them. for example: def service1(): with suppress(): raise Exception('Error Occurred') def service2(): with suppress(ValueError, TypeError, log=False): raise ValueError('Error Occurred') | suppress | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class suppress:
"""context manager to suppress any exceptions and logs them. for example: def service1(): with suppress(): raise Exception('Error Occurred') def service2(): with suppress(ValueError, TypeError, log=False): raise ValueError('Error Occurred')"""
def __init__(self, *errors, **options)... | stack_v2_sparse_classes_75kplus_train_067719 | 1,832 | permissive | [
{
"docstring": "initializes an instance of suppress. :param type[Exception] errors: exception types to be suppressed. if not provided, all exceptions will be suppressed. :keyword bool log: log suppressed exceptions. defaults to True if not provided.",
"name": "__init__",
"signature": "def __init__(self,... | 2 | stack_v2_sparse_classes_30k_train_032239 | Implement the Python class `suppress` described below.
Class description:
context manager to suppress any exceptions and logs them. for example: def service1(): with suppress(): raise Exception('Error Occurred') def service2(): with suppress(ValueError, TypeError, log=False): raise ValueError('Error Occurred')
Method... | Implement the Python class `suppress` described below.
Class description:
context manager to suppress any exceptions and logs them. for example: def service1(): with suppress(): raise Exception('Error Occurred') def service2(): with suppress(ValueError, TypeError, log=False): raise ValueError('Error Occurred')
Method... | 9d4776498225de4f3d16a4600b5b19212abe8562 | <|skeleton|>
class suppress:
"""context manager to suppress any exceptions and logs them. for example: def service1(): with suppress(): raise Exception('Error Occurred') def service2(): with suppress(ValueError, TypeError, log=False): raise ValueError('Error Occurred')"""
def __init__(self, *errors, **options)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class suppress:
"""context manager to suppress any exceptions and logs them. for example: def service1(): with suppress(): raise Exception('Error Occurred') def service2(): with suppress(ValueError, TypeError, log=False): raise ValueError('Error Occurred')"""
def __init__(self, *errors, **options):
"""... | the_stack_v2_python_sparse | src/pyrin/logging/contexts.py | mononobi/pyrin | train | 20 |
620d3176dc92fcc9c95323c4a6a2069b136f9749 | [
"self.name = name\nself.output_format = output_format\nself.parameters = parameters\nself.subject_line = subject_line\nself.mtype = mtype",
"if dictionary is None:\n return None\nname = dictionary.get('name')\noutput_format = dictionary.get('outputFormat')\nparameters = cohesity_management_sdk.models.scheduler... | <|body_start_0|>
self.name = name
self.output_format = output_format
self.parameters = parameters
self.subject_line = subject_line
self.mtype = mtype
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
name = dictionary.get('name')
... | Implementation of the 'SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report' model. Specifies the type and parameters of a report. Attributes: name (string): Specifies the report name. output_format (string): Specifies the output format of the report. parameters ( SchedulerProto_SchedulerJob_Sche... | SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report:
"""Implementation of the 'SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report' model. Specifies the type and parameters of a report. Attributes: name (string): Specifies the report name. output_fo... | stack_v2_sparse_classes_75kplus_train_067720 | 2,862 | permissive | [
{
"docstring": "Constructor for the SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report class",
"name": "__init__",
"signature": "def __init__(self, name=None, output_format=None, parameters=None, subject_line=None, mtype=None)"
},
{
"docstring": "Creates an instance of t... | 2 | stack_v2_sparse_classes_30k_train_044540 | Implement the Python class `SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report` described below.
Class description:
Implementation of the 'SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report' model. Specifies the type and parameters of a report. Attributes: name (string... | Implement the Python class `SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report` described below.
Class description:
Implementation of the 'SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report' model. Specifies the type and parameters of a report. Attributes: name (string... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report:
"""Implementation of the 'SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report' model. Specifies the type and parameters of a report. Attributes: name (string): Specifies the report name. output_fo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report:
"""Implementation of the 'SchedulerProto_SchedulerJob_ScheduleJobParameters_ReportJobParameter_Report' model. Specifies the type and parameters of a report. Attributes: name (string): Specifies the report name. output_format (string)... | the_stack_v2_python_sparse | cohesity_management_sdk/models/scheduler_proto_scheduler_job_schedule__report.py | cohesity/management-sdk-python | train | 24 |
0942aa7b669d6c40ac4efc7e054fd9a3e825eedc | [
"super().__init__(*args, **kwargs)\nself.fields['name'].widget.attrs.update({'class': 'w3-input w3-border', 'style': 'width:20em; display:inline-block;'})\nself.fields['description'].widget.attrs.update({'class': 'w3-input w3-border', 'rows': 3})\nself.fields['program_type'].widget.attrs.update({'class': 'w3-select... | <|body_start_0|>
super().__init__(*args, **kwargs)
self.fields['name'].widget.attrs.update({'class': 'w3-input w3-border', 'style': 'width:20em; display:inline-block;'})
self.fields['description'].widget.attrs.update({'class': 'w3-input w3-border', 'rows': 3})
self.fields['program_type']... | Default Model Form | ProgramModelForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProgramModelForm:
"""Default Model Form"""
def __init__(self, *args, **kwargs):
"""Update field definitions with custom attributes"""
<|body_0|>
def clean_time_start(self):
"""Raise error if field is required but empty"""
<|body_1|>
def clean_duratio... | stack_v2_sparse_classes_75kplus_train_067721 | 7,909 | no_license | [
{
"docstring": "Update field definitions with custom attributes",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Raise error if field is required but empty",
"name": "clean_time_start",
"signature": "def clean_time_start(self)"
},
{
"doc... | 4 | stack_v2_sparse_classes_30k_train_022843 | Implement the Python class `ProgramModelForm` described below.
Class description:
Default Model Form
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Update field definitions with custom attributes
- def clean_time_start(self): Raise error if field is required but empty
- def clean_duration(se... | Implement the Python class `ProgramModelForm` described below.
Class description:
Default Model Form
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Update field definitions with custom attributes
- def clean_time_start(self): Raise error if field is required but empty
- def clean_duration(se... | 9efd022b6dda81e4088dd78036d652cd88d8214a | <|skeleton|>
class ProgramModelForm:
"""Default Model Form"""
def __init__(self, *args, **kwargs):
"""Update field definitions with custom attributes"""
<|body_0|>
def clean_time_start(self):
"""Raise error if field is required but empty"""
<|body_1|>
def clean_duratio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProgramModelForm:
"""Default Model Form"""
def __init__(self, *args, **kwargs):
"""Update field definitions with custom attributes"""
super().__init__(*args, **kwargs)
self.fields['name'].widget.attrs.update({'class': 'w3-input w3-border', 'style': 'width:20em; display:inline-bloc... | the_stack_v2_python_sparse | programs/forms.py | leventerevesz/irrigation-server | train | 0 |
b0247f27ac68e68b18ccf8ef0e6491f10ca8052a | [
"self.X = X\nself.m = m\nself.samples = samples\nself.num_datapoints = X.shape[0]",
"u_samples = []\nfor s in self.samples:\n self.m.set_state(s)\n u_samples.append(self.m.predict_f_samples(self.X, 1))\nu_samples = np.vstack(u_samples)\nu = u_samples[:, :, 0]\nreturn u",
"g_samples = []\nfor s in self.sam... | <|body_start_0|>
self.X = X
self.m = m
self.samples = samples
self.num_datapoints = X.shape[0]
<|end_body_0|>
<|body_start_1|>
u_samples = []
for s in self.samples:
self.m.set_state(s)
u_samples.append(self.m.predict_f_samples(self.X, 1))
... | Predict | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Predict:
def __init__(self, X, m, samples):
"""Predicting the required posterior utlity function and/or preference probability values. based on trained GPflow model described using: m: Trained gpflow model object (on training set) samples : posterior hyperparameters' values X: normalized... | stack_v2_sparse_classes_75kplus_train_067722 | 2,678 | no_license | [
{
"docstring": "Predicting the required posterior utlity function and/or preference probability values. based on trained GPflow model described using: m: Trained gpflow model object (on training set) samples : posterior hyperparameters' values X: normalized input feature values at which we want to make the pred... | 5 | stack_v2_sparse_classes_30k_train_034340 | Implement the Python class `Predict` described below.
Class description:
Implement the Predict class.
Method signatures and docstrings:
- def __init__(self, X, m, samples): Predicting the required posterior utlity function and/or preference probability values. based on trained GPflow model described using: m: Trained... | Implement the Python class `Predict` described below.
Class description:
Implement the Predict class.
Method signatures and docstrings:
- def __init__(self, X, m, samples): Predicting the required posterior utlity function and/or preference probability values. based on trained GPflow model described using: m: Trained... | 4642eab332a86140c95656277d59af0fe09a72fe | <|skeleton|>
class Predict:
def __init__(self, X, m, samples):
"""Predicting the required posterior utlity function and/or preference probability values. based on trained GPflow model described using: m: Trained gpflow model object (on training set) samples : posterior hyperparameters' values X: normalized... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Predict:
def __init__(self, X, m, samples):
"""Predicting the required posterior utlity function and/or preference probability values. based on trained GPflow model described using: m: Trained gpflow model object (on training set) samples : posterior hyperparameters' values X: normalized input feature... | the_stack_v2_python_sparse | pref_actions/GPUnimodalPrefAct/predict.py | nawalgao/GPActToPref | train | 0 | |
2d86d4782d610f3d325c06000d3846a6b9879646 | [
"try:\n try:\n pObject = PTJInfo.objects.get(id=pid)\n except:\n return JsonResponse({'status': False, 'err': '内容不存在'}, status=404)\n ptjResult = model_to_dict(pObject)\n return JsonResponse({'status': True, 'ptj': ptjResult})\nexcept:\n return JsonResponse({'status': False, 'err': '出现未... | <|body_start_0|>
try:
try:
pObject = PTJInfo.objects.get(id=pid)
except:
return JsonResponse({'status': False, 'err': '内容不存在'}, status=404)
ptjResult = model_to_dict(pObject)
return JsonResponse({'status': True, 'ptj': ptjResult})
... | PTJInfoView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PTJInfoView:
def get(self, requests, pid):
"""获得兼职消息详情 :param requests: :param pid: ptj id :return:"""
<|body_0|>
def delete(self, requests, pid):
"""删除兼职消息 :param requests: :param pid: :return:"""
<|body_1|>
def post(self, requests):
"""新增兼职信息 :... | stack_v2_sparse_classes_75kplus_train_067723 | 2,987 | no_license | [
{
"docstring": "获得兼职消息详情 :param requests: :param pid: ptj id :return:",
"name": "get",
"signature": "def get(self, requests, pid)"
},
{
"docstring": "删除兼职消息 :param requests: :param pid: :return:",
"name": "delete",
"signature": "def delete(self, requests, pid)"
},
{
"docstring": ... | 3 | stack_v2_sparse_classes_30k_train_028697 | Implement the Python class `PTJInfoView` described below.
Class description:
Implement the PTJInfoView class.
Method signatures and docstrings:
- def get(self, requests, pid): 获得兼职消息详情 :param requests: :param pid: ptj id :return:
- def delete(self, requests, pid): 删除兼职消息 :param requests: :param pid: :return:
- def po... | Implement the Python class `PTJInfoView` described below.
Class description:
Implement the PTJInfoView class.
Method signatures and docstrings:
- def get(self, requests, pid): 获得兼职消息详情 :param requests: :param pid: ptj id :return:
- def delete(self, requests, pid): 删除兼职消息 :param requests: :param pid: :return:
- def po... | 526dea540048fc92260bce611c520c50af744e0b | <|skeleton|>
class PTJInfoView:
def get(self, requests, pid):
"""获得兼职消息详情 :param requests: :param pid: ptj id :return:"""
<|body_0|>
def delete(self, requests, pid):
"""删除兼职消息 :param requests: :param pid: :return:"""
<|body_1|>
def post(self, requests):
"""新增兼职信息 :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PTJInfoView:
def get(self, requests, pid):
"""获得兼职消息详情 :param requests: :param pid: ptj id :return:"""
try:
try:
pObject = PTJInfo.objects.get(id=pid)
except:
return JsonResponse({'status': False, 'err': '内容不存在'}, status=404)
... | the_stack_v2_python_sparse | apps/PTJ/views/PTJInfo.py | DICKQI/ALGYunXS | train | 0 | |
88f6a00540fdc3710155857954fd928e5e11e26e | [
"first_max = second_max = third_max = -float('inf')\nfor val in nums:\n if val in (first_max, second_max, third_max):\n continue\n elif val > first_max:\n third_max, second_max, first_max = (second_max, first_max, val)\n elif val > second_max:\n third_max, second_max = (second_max, val... | <|body_start_0|>
first_max = second_max = third_max = -float('inf')
for val in nums:
if val in (first_max, second_max, third_max):
continue
elif val > first_max:
third_max, second_max, first_max = (second_max, first_max, val)
elif val >... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def thirdMax_first_solution(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def third_max_second_solution(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
first_max = second_... | stack_v2_sparse_classes_75kplus_train_067724 | 1,342 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "thirdMax_first_solution",
"signature": "def thirdMax_first_solution(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "third_max_second_solution",
"signature": "def third_max_second_solution(self, nums... | 2 | stack_v2_sparse_classes_30k_train_022825 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def thirdMax_first_solution(self, nums): :type nums: List[int] :rtype: int
- def third_max_second_solution(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def thirdMax_first_solution(self, nums): :type nums: List[int] :rtype: int
- def third_max_second_solution(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solu... | 1e99e0852b8329bf699eb149e7dfe312f82144bc | <|skeleton|>
class Solution:
def thirdMax_first_solution(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def third_max_second_solution(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def thirdMax_first_solution(self, nums):
""":type nums: List[int] :rtype: int"""
first_max = second_max = third_max = -float('inf')
for val in nums:
if val in (first_max, second_max, third_max):
continue
elif val > first_max:
... | the_stack_v2_python_sparse | easy/array/third_max/third_max.py | deepshig/leetcode-solutions | train | 0 | |
85ad0465045f6ea901e9c578c0571fc07211101f | [
"if question.data == '':\n raise ValidationError('必須です。')\nif len(question.data) > 255:\n raise ValidationError('255文字以内で入力してください。')",
"if answer.data == '':\n raise ValidationError('必須です。')\nif len(answer.data) > 1000:\n raise ValidationError('1000文字以内で入力してください。')"
] | <|body_start_0|>
if question.data == '':
raise ValidationError('必須です。')
if len(question.data) > 255:
raise ValidationError('255文字以内で入力してください。')
<|end_body_0|>
<|body_start_1|>
if answer.data == '':
raise ValidationError('必須です。')
if len(answer.data) > ... | FaqForm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FaqForm:
def validate_question(self, question):
"""バリデーション - 必須 - 文字数の上限は255文字"""
<|body_0|>
def validate_answer(self, answer):
"""バリデーション - 必須 - 文字数の上限は1000文字"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if question.data == '':
raise... | stack_v2_sparse_classes_75kplus_train_067725 | 965 | permissive | [
{
"docstring": "バリデーション - 必須 - 文字数の上限は255文字",
"name": "validate_question",
"signature": "def validate_question(self, question)"
},
{
"docstring": "バリデーション - 必須 - 文字数の上限は1000文字",
"name": "validate_answer",
"signature": "def validate_answer(self, answer)"
}
] | 2 | stack_v2_sparse_classes_30k_train_037237 | Implement the Python class `FaqForm` described below.
Class description:
Implement the FaqForm class.
Method signatures and docstrings:
- def validate_question(self, question): バリデーション - 必須 - 文字数の上限は255文字
- def validate_answer(self, answer): バリデーション - 必須 - 文字数の上限は1000文字 | Implement the Python class `FaqForm` described below.
Class description:
Implement the FaqForm class.
Method signatures and docstrings:
- def validate_question(self, question): バリデーション - 必須 - 文字数の上限は255文字
- def validate_answer(self, answer): バリデーション - 必須 - 文字数の上限は1000文字
<|skeleton|>
class FaqForm:
def validate_... | 8751fcb7fb9d46b023bd1fe33d734c58332d77e9 | <|skeleton|>
class FaqForm:
def validate_question(self, question):
"""バリデーション - 必須 - 文字数の上限は255文字"""
<|body_0|>
def validate_answer(self, answer):
"""バリデーション - 必須 - 文字数の上限は1000文字"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FaqForm:
def validate_question(self, question):
"""バリデーション - 必須 - 文字数の上限は255文字"""
if question.data == '':
raise ValidationError('必須です。')
if len(question.data) > 255:
raise ValidationError('255文字以内で入力してください。')
def validate_answer(self, answer):
"""バリ... | the_stack_v2_python_sparse | chatbot/admin/helpers/forms/FaqForm.py | hysakhr/flask_chatbot | train | 3 | |
62da1c75cfc3b08a5c306e4bee070e1e3de30cf2 | [
"self.food = deque(food)\nself.width = width\nself.height = height\nself.bodyQueue = deque([(0, 0)])\nself.hashSet = set([(0, 0)])\nself.score = 0\nself.moveOps = {'U': (-1, 0), 'D': (1, 0), 'L': (0, -1), 'R': (0, 1)}",
"s = self.hashSet\nq = self.bodyQueue\nops = self.moveOps\nwidth = self.width\nheight = self.h... | <|body_start_0|>
self.food = deque(food)
self.width = width
self.height = height
self.bodyQueue = deque([(0, 0)])
self.hashSet = set([(0, 0)])
self.score = 0
self.moveOps = {'U': (-1, 0), 'D': (1, 0), 'L': (0, -1), 'R': (0, 1)}
<|end_body_0|>
<|body_start_1|>
... | SnakeGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_75kplus_train_067726 | 15,245 | no_license | [
{
"docstring": "Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :type height: int :type food: List[List[int]]",
... | 2 | stack_v2_sparse_classes_30k_train_025929 | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | 035ef08434fa1ca781a6fb2f9eed3538b7d20c02 | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :... | the_stack_v2_python_sparse | leetcode_python/Design/design-snake-game.py | yennanliu/CS_basics | train | 64 | |
3ba5bd285b047b66afcbf116c1e1beb32b00dc53 | [
"try:\n return runJasperReportEditor(prj_filename)\nexcept:\n log_func.fatal(u'Error opening JasperReport project file <%s>' % prj_filename)\nreturn False",
"try:\n if default_prj_filename is None:\n default_prj_filename = DEFAULT_REPORT_LANDSCAPE_FILENAME\n if new_prj_filename is None:\n ... | <|body_start_0|>
try:
return runJasperReportEditor(prj_filename)
except:
log_func.fatal(u'Error opening JasperReport project file <%s>' % prj_filename)
return False
<|end_body_0|>
<|body_start_1|>
try:
if default_prj_filename is None:
... | JasperReport report generator manager. | iqJasperReportManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class iqJasperReportManager:
"""JasperReport report generator manager."""
def openProject(self, prj_filename):
"""Open project file. :param prj_filename: The full name of the project file. :return: True/False"""
<|body_0|>
def createProject(self, default_prj_filename=None, new... | stack_v2_sparse_classes_75kplus_train_067727 | 5,611 | no_license | [
{
"docstring": "Open project file. :param prj_filename: The full name of the project file. :return: True/False",
"name": "openProject",
"signature": "def openProject(self, prj_filename)"
},
{
"docstring": "Create a new project file. :param default_prj_filename: The default project file name. :pa... | 3 | stack_v2_sparse_classes_30k_train_026099 | Implement the Python class `iqJasperReportManager` described below.
Class description:
JasperReport report generator manager.
Method signatures and docstrings:
- def openProject(self, prj_filename): Open project file. :param prj_filename: The full name of the project file. :return: True/False
- def createProject(self... | Implement the Python class `iqJasperReportManager` described below.
Class description:
JasperReport report generator manager.
Method signatures and docstrings:
- def openProject(self, prj_filename): Open project file. :param prj_filename: The full name of the project file. :return: True/False
- def createProject(self... | 7550e242746cb2fb1219474463f8db21f8e3e114 | <|skeleton|>
class iqJasperReportManager:
"""JasperReport report generator manager."""
def openProject(self, prj_filename):
"""Open project file. :param prj_filename: The full name of the project file. :return: True/False"""
<|body_0|>
def createProject(self, default_prj_filename=None, new... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class iqJasperReportManager:
"""JasperReport report generator manager."""
def openProject(self, prj_filename):
"""Open project file. :param prj_filename: The full name of the project file. :return: True/False"""
try:
return runJasperReportEditor(prj_filename)
except:
... | the_stack_v2_python_sparse | iq/editor/jasper_report/jasperreport_manager.py | XHermitOne/iq_framework | train | 1 |
1a00e7f6dbc7c39d4e077799185542ebfcfa4dd0 | [
"if result_schema is None:\n return {}\nresult = result_schema.get_computed_entity_columns(entity, **options)\nif result is None:\n return {}\noptions.update(result_schema=result_schema)\nresult = serializer_services.serialize(result, **options)\nreturn result",
"if result_schema is None:\n return {}\nre... | <|body_start_0|>
if result_schema is None:
return {}
result = result_schema.get_computed_entity_columns(entity, **options)
if result is None:
return {}
options.update(result_schema=result_schema)
result = serializer_services.serialize(result, **options)
... | schema manager class. | SchemaManager | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SchemaManager:
"""schema manager class."""
def get_computed_entity_columns(self, entity, result_schema=None, **options):
"""gets a dict containing all computed columns to be added to the result. if `result_schema` is not provided, it returns an empty dict. note that the result dict s... | stack_v2_sparse_classes_75kplus_train_067728 | 2,114 | permissive | [
{
"docstring": "gets a dict containing all computed columns to be added to the result. if `result_schema` is not provided, it returns an empty dict. note that the result dict should not contain any `BaseEntity` or `ROW_RESULT` values, otherwise a max recursion error may occur. :param BaseEntity entity: the actu... | 2 | stack_v2_sparse_classes_30k_train_003890 | Implement the Python class `SchemaManager` described below.
Class description:
schema manager class.
Method signatures and docstrings:
- def get_computed_entity_columns(self, entity, result_schema=None, **options): gets a dict containing all computed columns to be added to the result. if `result_schema` is not provid... | Implement the Python class `SchemaManager` described below.
Class description:
schema manager class.
Method signatures and docstrings:
- def get_computed_entity_columns(self, entity, result_schema=None, **options): gets a dict containing all computed columns to be added to the result. if `result_schema` is not provid... | 9d4776498225de4f3d16a4600b5b19212abe8562 | <|skeleton|>
class SchemaManager:
"""schema manager class."""
def get_computed_entity_columns(self, entity, result_schema=None, **options):
"""gets a dict containing all computed columns to be added to the result. if `result_schema` is not provided, it returns an empty dict. note that the result dict s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SchemaManager:
"""schema manager class."""
def get_computed_entity_columns(self, entity, result_schema=None, **options):
"""gets a dict containing all computed columns to be added to the result. if `result_schema` is not provided, it returns an empty dict. note that the result dict should not con... | the_stack_v2_python_sparse | src/pyrin/api/schema/manager.py | mononobi/pyrin | train | 20 |
312b14cca3f430c4decd83f74726c343c8cae784 | [
"self.channel = channel\nself.dc = rapport\nself.period = 20.0\nfreq = 1000.0 / self.period\nself.pwm = Adafruit_PCA9685.PCA9685()\nself.pwm.set_pwm(channel, 0, rapport * 4096)\nself.pwm.set_pwm_freq(freq)",
"if angle <= 180:\n self.dc = (angle / 180 + 1) * 5\n self.pwm.set_pwm(self.channel, 0, self.dc * 40... | <|body_start_0|>
self.channel = channel
self.dc = rapport
self.period = 20.0
freq = 1000.0 / self.period
self.pwm = Adafruit_PCA9685.PCA9685()
self.pwm.set_pwm(channel, 0, rapport * 4096)
self.pwm.set_pwm_freq(freq)
<|end_body_0|>
<|body_start_1|>
if angl... | Servomoteur | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Servomoteur:
def __init__(self, channel, rapport):
"""Créer une instance de Servomoteur On en aura trois dans notre cas"""
<|body_0|>
def set_servo_pulse(self, angle):
"""1/Calcul du rapport cyclique correspondant à l'angle de rotation dont on veut que le servo posit... | stack_v2_sparse_classes_75kplus_train_067729 | 1,600 | no_license | [
{
"docstring": "Créer une instance de Servomoteur On en aura trois dans notre cas",
"name": "__init__",
"signature": "def __init__(self, channel, rapport)"
},
{
"docstring": "1/Calcul du rapport cyclique correspondant à l'angle de rotation dont on veut que le servo positionne le bras 2/Positionn... | 2 | null | Implement the Python class `Servomoteur` described below.
Class description:
Implement the Servomoteur class.
Method signatures and docstrings:
- def __init__(self, channel, rapport): Créer une instance de Servomoteur On en aura trois dans notre cas
- def set_servo_pulse(self, angle): 1/Calcul du rapport cyclique cor... | Implement the Python class `Servomoteur` described below.
Class description:
Implement the Servomoteur class.
Method signatures and docstrings:
- def __init__(self, channel, rapport): Créer une instance de Servomoteur On en aura trois dans notre cas
- def set_servo_pulse(self, angle): 1/Calcul du rapport cyclique cor... | 5c91e6a5fb091b4b2df465957b7ce9d281b12abb | <|skeleton|>
class Servomoteur:
def __init__(self, channel, rapport):
"""Créer une instance de Servomoteur On en aura trois dans notre cas"""
<|body_0|>
def set_servo_pulse(self, angle):
"""1/Calcul du rapport cyclique correspondant à l'angle de rotation dont on veut que le servo posit... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Servomoteur:
def __init__(self, channel, rapport):
"""Créer une instance de Servomoteur On en aura trois dans notre cas"""
self.channel = channel
self.dc = rapport
self.period = 20.0
freq = 1000.0 / self.period
self.pwm = Adafruit_PCA9685.PCA9685()
self.... | the_stack_v2_python_sparse | Fablab/codeSource/src/servo/control_servo.py | Villaquiranm/Fablab | train | 1 | |
76d7018000beb1395899c283c9337a14d1a6f293 | [
"nums = str(N)\nfor num in nums:\n if num == '0' or N % int(num) != 0:\n return False\nreturn True",
"sDN = []\nfor n in range(left, right + 1):\n if self.isselfDividingNumber(n):\n sDN.append(n)\nreturn sDN"
] | <|body_start_0|>
nums = str(N)
for num in nums:
if num == '0' or N % int(num) != 0:
return False
return True
<|end_body_0|>
<|body_start_1|>
sDN = []
for n in range(left, right + 1):
if self.isselfDividingNumber(n):
sDN.app... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isselfDividingNumber(self, N):
""":type N: int :rtype: Bool"""
<|body_0|>
def selfDividingNumbers(self, left, right):
""":type left: int :type right: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
nums = str(N)
... | stack_v2_sparse_classes_75kplus_train_067730 | 582 | no_license | [
{
"docstring": ":type N: int :rtype: Bool",
"name": "isselfDividingNumber",
"signature": "def isselfDividingNumber(self, N)"
},
{
"docstring": ":type left: int :type right: int :rtype: List[int]",
"name": "selfDividingNumbers",
"signature": "def selfDividingNumbers(self, left, right)"
... | 2 | stack_v2_sparse_classes_30k_train_047174 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isselfDividingNumber(self, N): :type N: int :rtype: Bool
- def selfDividingNumbers(self, left, right): :type left: int :type right: int :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isselfDividingNumber(self, N): :type N: int :rtype: Bool
- def selfDividingNumbers(self, left, right): :type left: int :type right: int :rtype: List[int]
<|skeleton|>
class ... | 9752533bc76ce5ecb881f61e33a3bc4b20dcf666 | <|skeleton|>
class Solution:
def isselfDividingNumber(self, N):
""":type N: int :rtype: Bool"""
<|body_0|>
def selfDividingNumbers(self, left, right):
""":type left: int :type right: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isselfDividingNumber(self, N):
""":type N: int :rtype: Bool"""
nums = str(N)
for num in nums:
if num == '0' or N % int(num) != 0:
return False
return True
def selfDividingNumbers(self, left, right):
""":type left: int :type... | the_stack_v2_python_sparse | 728. Self Dividing Numbers/728. Self Dividing Numbers.py | 603lzy/LeetCode | train | 3 | |
37f3e84b4abfa2fb7be18fac9b05db8da0055e60 | [
"if support_regional_security_policy or support_net_lb:\n cls.NAME_ARG = flags.PriorityArgument('describe')\n cls.NAME_ARG.AddArgument(parser, operation_type='describe', cust_metavar='PRIORITY')\n flags.AddRegionFlag(parser, 'describe')\n cls.SECURITY_POLICY_ARG = security_policy_flags.SecurityPolicyMul... | <|body_start_0|>
if support_regional_security_policy or support_net_lb:
cls.NAME_ARG = flags.PriorityArgument('describe')
cls.NAME_ARG.AddArgument(parser, operation_type='describe', cust_metavar='PRIORITY')
flags.AddRegionFlag(parser, 'describe')
cls.SECURITY_POLI... | Describe a Compute Engine security policy rule. *{command}* displays all data associated with a security policy rule. ## EXAMPLES To describe the rule at priority 1000, run: $ {command} 1000 \\ --security-policy=my-policy | DescribeHelper | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DescribeHelper:
"""Describe a Compute Engine security policy rule. *{command}* displays all data associated with a security policy rule. ## EXAMPLES To describe the rule at priority 1000, run: $ {command} 1000 \\ --security-policy=my-policy"""
def Args(cls, parser, support_regional_security_... | stack_v2_sparse_classes_75kplus_train_067731 | 7,354 | permissive | [
{
"docstring": "Generates the flagset for a Describe command.",
"name": "Args",
"signature": "def Args(cls, parser, support_regional_security_policy, support_net_lb)"
},
{
"docstring": "Validates arguments and describes a security policy rule.",
"name": "Run",
"signature": "def Run(cls, ... | 2 | stack_v2_sparse_classes_30k_train_025480 | Implement the Python class `DescribeHelper` described below.
Class description:
Describe a Compute Engine security policy rule. *{command}* displays all data associated with a security policy rule. ## EXAMPLES To describe the rule at priority 1000, run: $ {command} 1000 \\ --security-policy=my-policy
Method signature... | Implement the Python class `DescribeHelper` described below.
Class description:
Describe a Compute Engine security policy rule. *{command}* displays all data associated with a security policy rule. ## EXAMPLES To describe the rule at priority 1000, run: $ {command} 1000 \\ --security-policy=my-policy
Method signature... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class DescribeHelper:
"""Describe a Compute Engine security policy rule. *{command}* displays all data associated with a security policy rule. ## EXAMPLES To describe the rule at priority 1000, run: $ {command} 1000 \\ --security-policy=my-policy"""
def Args(cls, parser, support_regional_security_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DescribeHelper:
"""Describe a Compute Engine security policy rule. *{command}* displays all data associated with a security policy rule. ## EXAMPLES To describe the rule at priority 1000, run: $ {command} 1000 \\ --security-policy=my-policy"""
def Args(cls, parser, support_regional_security_policy, suppo... | the_stack_v2_python_sparse | lib/surface/compute/security_policies/rules/describe.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
3af62537bf8d7036650c4a3ea80b7c9bca68863d | [
"if S == T:\n return 0\nroutes = [set(e) for e in routes]\nG = defaultdict(set)\nfor i in range(len(routes)):\n for j in range(i + 1, len(routes)):\n stops_1, stops_2 = (routes[i], routes[j])\n for stop in stops_1:\n if stop in stops_2:\n G[i].add(j)\n G[... | <|body_start_0|>
if S == T:
return 0
routes = [set(e) for e in routes]
G = defaultdict(set)
for i in range(len(routes)):
for j in range(i + 1, len(routes)):
stops_1, stops_2 = (routes[i], routes[j])
for stop in stops_1:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numBusesToDestination(self, routes: List[List[int]], S: int, T: int) -> int:
"""BFS bus based nodes rather than stop based nodes BFS = O(|V| + |E|) = O(N + N^2), where N is number of routes Construction = O (N^2 * S), where S is number of stops"""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus_train_067732 | 3,313 | no_license | [
{
"docstring": "BFS bus based nodes rather than stop based nodes BFS = O(|V| + |E|) = O(N + N^2), where N is number of routes Construction = O (N^2 * S), where S is number of stops",
"name": "numBusesToDestination",
"signature": "def numBusesToDestination(self, routes: List[List[int]], S: int, T: int) -... | 2 | stack_v2_sparse_classes_30k_val_002961 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numBusesToDestination(self, routes: List[List[int]], S: int, T: int) -> int: BFS bus based nodes rather than stop based nodes BFS = O(|V| + |E|) = O(N + N^2), where N is numb... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numBusesToDestination(self, routes: List[List[int]], S: int, T: int) -> int: BFS bus based nodes rather than stop based nodes BFS = O(|V| + |E|) = O(N + N^2), where N is numb... | 929dde1723fb2f54870c8a9badc80fc23e8400d3 | <|skeleton|>
class Solution:
def numBusesToDestination(self, routes: List[List[int]], S: int, T: int) -> int:
"""BFS bus based nodes rather than stop based nodes BFS = O(|V| + |E|) = O(N + N^2), where N is number of routes Construction = O (N^2 * S), where S is number of stops"""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numBusesToDestination(self, routes: List[List[int]], S: int, T: int) -> int:
"""BFS bus based nodes rather than stop based nodes BFS = O(|V| + |E|) = O(N + N^2), where N is number of routes Construction = O (N^2 * S), where S is number of stops"""
if S == T:
return 0
... | the_stack_v2_python_sparse | _algorithms_challenges/leetcode/LeetCode/815 Bus Routes.py | syurskyi/Algorithms_and_Data_Structure | train | 4 | |
c2598d3a1b7a16b110ae76777ecffbd95c93a49e | [
"super().initialize()\nself.listen_event(self.arrived_home, 'PRESENCE_CHANGE', new=self.presence_manager.HomeStates.just_arrived.value, first=True, constrain_input_boolean=self.enabled_entity_id)\nself.listen_event(self.proximity_changed, 'PROXIMITY_CHANGE', constrain_input_boolean=self.enabled_entity_id)",
"if s... | <|body_start_0|>
super().initialize()
self.listen_event(self.arrived_home, 'PRESENCE_CHANGE', new=self.presence_manager.HomeStates.just_arrived.value, first=True, constrain_input_boolean=self.enabled_entity_id)
self.listen_event(self.proximity_changed, 'PROXIMITY_CHANGE', constrain_input_boolean... | Define a feature to adjust climate based on proximity to home. | AdjustOnProximity | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdjustOnProximity:
"""Define a feature to adjust climate based on proximity to home."""
def initialize(self) -> None:
"""Initialize."""
<|body_0|>
def proximity_changed(self, event_name: str, data: dict, kwargs: dict) -> None:
"""Respond to "PROXIMITY_CHANGE" eve... | stack_v2_sparse_classes_75kplus_train_067733 | 7,845 | no_license | [
{
"docstring": "Initialize.",
"name": "initialize",
"signature": "def initialize(self) -> None"
},
{
"docstring": "Respond to \"PROXIMITY_CHANGE\" events.",
"name": "proximity_changed",
"signature": "def proximity_changed(self, event_name: str, data: dict, kwargs: dict) -> None"
},
{... | 3 | null | Implement the Python class `AdjustOnProximity` described below.
Class description:
Define a feature to adjust climate based on proximity to home.
Method signatures and docstrings:
- def initialize(self) -> None: Initialize.
- def proximity_changed(self, event_name: str, data: dict, kwargs: dict) -> None: Respond to "... | Implement the Python class `AdjustOnProximity` described below.
Class description:
Define a feature to adjust climate based on proximity to home.
Method signatures and docstrings:
- def initialize(self) -> None: Initialize.
- def proximity_changed(self, event_name: str, data: dict, kwargs: dict) -> None: Respond to "... | ed6ab27170e400d1e46c455b85d3a274a7189c72 | <|skeleton|>
class AdjustOnProximity:
"""Define a feature to adjust climate based on proximity to home."""
def initialize(self) -> None:
"""Initialize."""
<|body_0|>
def proximity_changed(self, event_name: str, data: dict, kwargs: dict) -> None:
"""Respond to "PROXIMITY_CHANGE" eve... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AdjustOnProximity:
"""Define a feature to adjust climate based on proximity to home."""
def initialize(self) -> None:
"""Initialize."""
super().initialize()
self.listen_event(self.arrived_home, 'PRESENCE_CHANGE', new=self.presence_manager.HomeStates.just_arrived.value, first=True,... | the_stack_v2_python_sparse | appdaemon/settings/apps/climate.py | dturgel/smart-home | train | 0 |
c8e603f6b43399cc855cdcd85f745a157135b6a7 | [
"if not head:\n return False\nslow = head\nfast = head.next\nwhile fast:\n if slow.val == fast.val:\n return True\n if not fast.next:\n break\n slow = slow.next\n fast = fast.next\nreturn False",
"if not head:\n return False\nwhile head:\n if head.val == 'sb':\n return Tr... | <|body_start_0|>
if not head:
return False
slow = head
fast = head.next
while fast:
if slow.val == fast.val:
return True
if not fast.next:
break
slow = slow.next
fast = fast.next
return Fa... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool 定义快慢指针 快指针走一步 慢指针走两步 如果两个指针指向同一节点，说明有环(相遇) 如果快指针走到头没有相遇，说明没有环"""
<|body_0|>
def hasCycle1(self, head):
""":type head: ListNode :rtype: bool 骚解法： 将头节点定义成一个固定值，判断是否会再遇到这个值"""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus_train_067734 | 1,322 | no_license | [
{
"docstring": ":type head: ListNode :rtype: bool 定义快慢指针 快指针走一步 慢指针走两步 如果两个指针指向同一节点，说明有环(相遇) 如果快指针走到头没有相遇，说明没有环",
"name": "hasCycle",
"signature": "def hasCycle(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: bool 骚解法： 将头节点定义成一个固定值，判断是否会再遇到这个值",
"name": "hasCycle1",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_018664 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool 定义快慢指针 快指针走一步 慢指针走两步 如果两个指针指向同一节点，说明有环(相遇) 如果快指针走到头没有相遇，说明没有环
- def hasCycle1(self, head): :type head: ListNode :rtype... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool 定义快慢指针 快指针走一步 慢指针走两步 如果两个指针指向同一节点，说明有环(相遇) 如果快指针走到头没有相遇，说明没有环
- def hasCycle1(self, head): :type head: ListNode :rtype... | a3a1556abc5adb9325de54d64f9814e64b96db0f | <|skeleton|>
class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool 定义快慢指针 快指针走一步 慢指针走两步 如果两个指针指向同一节点，说明有环(相遇) 如果快指针走到头没有相遇，说明没有环"""
<|body_0|>
def hasCycle1(self, head):
""":type head: ListNode :rtype: bool 骚解法： 将头节点定义成一个固定值，判断是否会再遇到这个值"""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool 定义快慢指针 快指针走一步 慢指针走两步 如果两个指针指向同一节点，说明有环(相遇) 如果快指针走到头没有相遇，说明没有环"""
if not head:
return False
slow = head
fast = head.next
while fast:
if slow.val == fast.val:
... | the_stack_v2_python_sparse | DSD/linke_list/hascycle.py | BigerWANG/geek_algorithm | train | 0 | |
74ccfc06890c6d2002c08f8d7543e33196a5170d | [
"self.adult = -1\nself.children = 0\nself.infants = 0\ncurrent_year = datetime.now().year\ntry:\n for passenger in passengers:\n passenger_birth = passenger['birthday'].split('-')[0]\n passenger_age = int(current_year) - int(passenger_birth)\n if passenger_age >= 12:\n self.adult ... | <|body_start_0|>
self.adult = -1
self.children = 0
self.infants = 0
current_year = datetime.now().year
try:
for passenger in passengers:
passenger_birth = passenger['birthday'].split('-')[0]
passenger_age = int(current_year) - int(passe... | Base | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Base:
def calculation_age(self, passengers):
"""计算乘客的年龄 passenger 是个包含每个乘客信息的列表 :param passenger: :return:"""
<|body_0|>
def calculation_luggage(self, baggageweight):
"""baggageweight:目标行李的重量 根据行李的重量，分配行李的选择方式 选择行李分为两个档次，一个是23KG，25块钱。一个是32KG，75块钱 :param baggageweight... | stack_v2_sparse_classes_75kplus_train_067735 | 33,129 | no_license | [
{
"docstring": "计算乘客的年龄 passenger 是个包含每个乘客信息的列表 :param passenger: :return:",
"name": "calculation_age",
"signature": "def calculation_age(self, passengers)"
},
{
"docstring": "baggageweight:目标行李的重量 根据行李的重量，分配行李的选择方式 选择行李分为两个档次，一个是23KG，25块钱。一个是32KG，75块钱 :param baggageweight: :return: 返回选择几个23KG和几... | 2 | stack_v2_sparse_classes_30k_train_015098 | Implement the Python class `Base` described below.
Class description:
Implement the Base class.
Method signatures and docstrings:
- def calculation_age(self, passengers): 计算乘客的年龄 passenger 是个包含每个乘客信息的列表 :param passenger: :return:
- def calculation_luggage(self, baggageweight): baggageweight:目标行李的重量 根据行李的重量，分配行李的选择方式 ... | Implement the Python class `Base` described below.
Class description:
Implement the Base class.
Method signatures and docstrings:
- def calculation_age(self, passengers): 计算乘客的年龄 passenger 是个包含每个乘客信息的列表 :param passenger: :return:
- def calculation_luggage(self, baggageweight): baggageweight:目标行李的重量 根据行李的重量，分配行李的选择方式 ... | a322f4219fb269379bb9cd123e912d2d6ba11322 | <|skeleton|>
class Base:
def calculation_age(self, passengers):
"""计算乘客的年龄 passenger 是个包含每个乘客信息的列表 :param passenger: :return:"""
<|body_0|>
def calculation_luggage(self, baggageweight):
"""baggageweight:目标行李的重量 根据行李的重量，分配行李的选择方式 选择行李分为两个档次，一个是23KG，25块钱。一个是32KG，75块钱 :param baggageweight... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Base:
def calculation_age(self, passengers):
"""计算乘客的年龄 passenger 是个包含每个乘客信息的列表 :param passenger: :return:"""
self.adult = -1
self.children = 0
self.infants = 0
current_year = datetime.now().year
try:
for passenger in passengers:
pass... | the_stack_v2_python_sparse | eurowings/bin/purchase.py | chenrun666/work | train | 0 | |
0e691ac7febb18c3510ed79ef05ee2592ef4e926 | [
"super(CBHG, self).__init__()\nself.hidden_size = hidden_size\nself.projection_size = projection_size\nself.convbank_list = nn.ModuleList()\nself.convbank_list.append(nn.Conv1d(in_channels=projection_size, out_channels=hidden_size, kernel_size=1, padding=int(np.floor(1 / 2))))\nfor i in range(2, K + 1):\n self.c... | <|body_start_0|>
super(CBHG, self).__init__()
self.hidden_size = hidden_size
self.projection_size = projection_size
self.convbank_list = nn.ModuleList()
self.convbank_list.append(nn.Conv1d(in_channels=projection_size, out_channels=hidden_size, kernel_size=1, padding=int(np.floor(... | CBHG Module. | CBHG | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CBHG:
"""CBHG Module."""
def __init__(self, hidden_size, K=16, projection_size=256, num_gru_layers=2, max_pool_kernel_size=2, is_post=False):
"""init."""
<|body_0|>
def _conv_fit_dim(self, x, kernel_size=3):
"""_conv_fit_dim."""
<|body_1|>
def forwar... | stack_v2_sparse_classes_75kplus_train_067736 | 17,934 | permissive | [
{
"docstring": "init.",
"name": "__init__",
"signature": "def __init__(self, hidden_size, K=16, projection_size=256, num_gru_layers=2, max_pool_kernel_size=2, is_post=False)"
},
{
"docstring": "_conv_fit_dim.",
"name": "_conv_fit_dim",
"signature": "def _conv_fit_dim(self, x, kernel_size... | 3 | stack_v2_sparse_classes_30k_train_003934 | Implement the Python class `CBHG` described below.
Class description:
CBHG Module.
Method signatures and docstrings:
- def __init__(self, hidden_size, K=16, projection_size=256, num_gru_layers=2, max_pool_kernel_size=2, is_post=False): init.
- def _conv_fit_dim(self, x, kernel_size=3): _conv_fit_dim.
- def forward(se... | Implement the Python class `CBHG` described below.
Class description:
CBHG Module.
Method signatures and docstrings:
- def __init__(self, hidden_size, K=16, projection_size=256, num_gru_layers=2, max_pool_kernel_size=2, is_post=False): init.
- def _conv_fit_dim(self, x, kernel_size=3): _conv_fit_dim.
- def forward(se... | 31d50b1ea1dea92f4182c5b2b6fe9fe4c981ae39 | <|skeleton|>
class CBHG:
"""CBHG Module."""
def __init__(self, hidden_size, K=16, projection_size=256, num_gru_layers=2, max_pool_kernel_size=2, is_post=False):
"""init."""
<|body_0|>
def _conv_fit_dim(self, x, kernel_size=3):
"""_conv_fit_dim."""
<|body_1|>
def forwar... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CBHG:
"""CBHG Module."""
def __init__(self, hidden_size, K=16, projection_size=256, num_gru_layers=2, max_pool_kernel_size=2, is_post=False):
"""init."""
super(CBHG, self).__init__()
self.hidden_size = hidden_size
self.projection_size = projection_size
self.convban... | the_stack_v2_python_sparse | SVS/model/layers/pretrain_module.py | SJTMusicTeam/SVS_system | train | 85 |
13c05fef3db715406db85195a601bcab42106676 | [
"self.data = -1\nself.writeable = True\nself.condition = Condition()",
"self.condition.acquire()\nwhile not self.writeable:\n self.condition.wait()\nprint('%s setting data to %d' % (currentThread().getName(), data))\nself.data = data\nself.writeable = False\nself.condition.notify()\nself.condition.release()",
... | <|body_start_0|>
self.data = -1
self.writeable = True
self.condition = Condition()
<|end_body_0|>
<|body_start_1|>
self.condition.acquire()
while not self.writeable:
self.condition.wait()
print('%s setting data to %d' % (currentThread().getName(), data))
... | Shared data that sequences writing before reading. | SharedCell | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SharedCell:
"""Shared data that sequences writing before reading."""
def __init__(self):
"""Can produce but not consume at startup."""
<|body_0|>
def setData(self, data):
"""Second caller must wait until someone has consumed the data before resetting it."""
... | stack_v2_sparse_classes_75kplus_train_067737 | 3,232 | no_license | [
{
"docstring": "Can produce but not consume at startup.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Second caller must wait until someone has consumed the data before resetting it.",
"name": "setData",
"signature": "def setData(self, data)"
},
{
"do... | 3 | stack_v2_sparse_classes_30k_train_046908 | Implement the Python class `SharedCell` described below.
Class description:
Shared data that sequences writing before reading.
Method signatures and docstrings:
- def __init__(self): Can produce but not consume at startup.
- def setData(self, data): Second caller must wait until someone has consumed the data before r... | Implement the Python class `SharedCell` described below.
Class description:
Shared data that sequences writing before reading.
Method signatures and docstrings:
- def __init__(self): Can produce but not consume at startup.
- def setData(self, data): Second caller must wait until someone has consumed the data before r... | d0a79d91a51c76cbb75830f7a8d1ce72174ad220 | <|skeleton|>
class SharedCell:
"""Shared data that sequences writing before reading."""
def __init__(self):
"""Can produce but not consume at startup."""
<|body_0|>
def setData(self, data):
"""Second caller must wait until someone has consumed the data before resetting it."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SharedCell:
"""Shared data that sequences writing before reading."""
def __init__(self):
"""Can produce but not consume at startup."""
self.data = -1
self.writeable = True
self.condition = Condition()
def setData(self, data):
"""Second caller must wait until s... | the_stack_v2_python_sparse | module-06/producerconsumer2.py | tjsaotome65/sec430-python | train | 2 |
1d40a2dde3a05efe9b35fcefc5f1feb20fbcd916 | [
"maxLen = 0\nlast = ''\np = [0] * len(s)\ns = s[s.find('('):]\nfor i, c in enumerate(s):\n if c == last:\n p[i] = 1\n else:\n p[i] = p[i - 1] + 1\n maxLen = max(p[i], maxLen)\n last = c\nreturn maxLen - 1 if maxLen % 2 == 1 else maxLen",
"tmp, cp = ([], [0] * len(s))\nfor i, c in enumera... | <|body_start_0|>
maxLen = 0
last = ''
p = [0] * len(s)
s = s[s.find('('):]
for i, c in enumerate(s):
if c == last:
p[i] = 1
else:
p[i] = p[i - 1] + 1
maxLen = max(p[i], maxLen)
last = c
return... | 解决思路, 构建可以从栈中弹出的括号字符的**索引的辅助列表** | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""解决思路, 构建可以从栈中弹出的括号字符的**索引的辅助列表**"""
def longestValidParenthes(self, s: 'str') -> 'int':
"""给定一个只包含 '(' 和 ')' 的字符串，找出'()'的最大有效长度"""
<|body_0|>
def longestValidParentheses1(self, s: 'str') -> 'int':
"""给定一个只包含 '(' 和 ')' 的字符串，找出最长的包含有效括号的子串的长度。 cp: cach... | stack_v2_sparse_classes_75kplus_train_067738 | 2,273 | permissive | [
{
"docstring": "给定一个只包含 '(' 和 ')' 的字符串，找出'()'的最大有效长度",
"name": "longestValidParenthes",
"signature": "def longestValidParenthes(self, s: 'str') -> 'int'"
},
{
"docstring": "给定一个只包含 '(' 和 ')' 的字符串，找出最长的包含有效括号的子串的长度。 cp: cache pop, 缓存可以匹配的索引, 均设置为1 ml: max length cl: continuous length",
"name"... | 3 | stack_v2_sparse_classes_30k_train_009664 | Implement the Python class `Solution` described below.
Class description:
解决思路, 构建可以从栈中弹出的括号字符的**索引的辅助列表**
Method signatures and docstrings:
- def longestValidParenthes(self, s: 'str') -> 'int': 给定一个只包含 '(' 和 ')' 的字符串，找出'()'的最大有效长度
- def longestValidParentheses1(self, s: 'str') -> 'int': 给定一个只包含 '(' 和 ')' 的字符串，找出最长的包... | Implement the Python class `Solution` described below.
Class description:
解决思路, 构建可以从栈中弹出的括号字符的**索引的辅助列表**
Method signatures and docstrings:
- def longestValidParenthes(self, s: 'str') -> 'int': 给定一个只包含 '(' 和 ')' 的字符串，找出'()'的最大有效长度
- def longestValidParentheses1(self, s: 'str') -> 'int': 给定一个只包含 '(' 和 ')' 的字符串，找出最长的包... | 9f49766a2b375a6c65f7bfa96df513875ddd772d | <|skeleton|>
class Solution:
"""解决思路, 构建可以从栈中弹出的括号字符的**索引的辅助列表**"""
def longestValidParenthes(self, s: 'str') -> 'int':
"""给定一个只包含 '(' 和 ')' 的字符串，找出'()'的最大有效长度"""
<|body_0|>
def longestValidParentheses1(self, s: 'str') -> 'int':
"""给定一个只包含 '(' 和 ')' 的字符串，找出最长的包含有效括号的子串的长度。 cp: cach... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""解决思路, 构建可以从栈中弹出的括号字符的**索引的辅助列表**"""
def longestValidParenthes(self, s: 'str') -> 'int':
"""给定一个只包含 '(' 和 ')' 的字符串，找出'()'的最大有效长度"""
maxLen = 0
last = ''
p = [0] * len(s)
s = s[s.find('('):]
for i, c in enumerate(s):
if c == last:
... | the_stack_v2_python_sparse | LeetcodeView/32.longestValidParentheses.md | Song2017/Leetcode_python | train | 1 |
877f672b77b03d6c4e6c3310a62f9bd590f5145e | [
"if type(typ) != str:\n raise TypeError('Paramètre doit être un string')\nelse:\n self.type = typ\n if typ.upper() in dictionnaire_extensions:\n self.description = dictionnaire_extensions[typ.upper()]\n else:\n self.description = 'Type de fichier invalide !'",
"if self.type.upper() in di... | <|body_start_0|>
if type(typ) != str:
raise TypeError('Paramètre doit être un string')
else:
self.type = typ
if typ.upper() in dictionnaire_extensions:
self.description = dictionnaire_extensions[typ.upper()]
else:
self.descr... | Description | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Description:
def __init__(self, typ: str):
""":param typ: str: type dont il faut récupérer la description"""
<|body_0|>
def ajouter_description(self) -> str:
""":return: str: présentation de la description"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_067739 | 922 | no_license | [
{
"docstring": ":param typ: str: type dont il faut récupérer la description",
"name": "__init__",
"signature": "def __init__(self, typ: str)"
},
{
"docstring": ":return: str: présentation de la description",
"name": "ajouter_description",
"signature": "def ajouter_description(self) -> st... | 2 | stack_v2_sparse_classes_30k_train_001296 | Implement the Python class `Description` described below.
Class description:
Implement the Description class.
Method signatures and docstrings:
- def __init__(self, typ: str): :param typ: str: type dont il faut récupérer la description
- def ajouter_description(self) -> str: :return: str: présentation de la descripti... | Implement the Python class `Description` described below.
Class description:
Implement the Description class.
Method signatures and docstrings:
- def __init__(self, typ: str): :param typ: str: type dont il faut récupérer la description
- def ajouter_description(self) -> str: :return: str: présentation de la descripti... | 418e193be7f40b4fb9303780be1313b479767221 | <|skeleton|>
class Description:
def __init__(self, typ: str):
""":param typ: str: type dont il faut récupérer la description"""
<|body_0|>
def ajouter_description(self) -> str:
""":return: str: présentation de la description"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Description:
def __init__(self, typ: str):
""":param typ: str: type dont il faut récupérer la description"""
if type(typ) != str:
raise TypeError('Paramètre doit être un string')
else:
self.type = typ
if typ.upper() in dictionnaire_extensions:
... | the_stack_v2_python_sparse | libs/classe_description.py | ArthurSchamroth/ProjetTri | train | 1 | |
131063fe699912e27c33fe66b721f9866fc8fea6 | [
"if user_input is None:\n return self.async_show_form(step_id='user', data_schema=STEP_USER_DATA_SCHEMA)\nservice = await WyomingService.create(user_input[CONF_HOST], user_input[CONF_PORT])\nif service is None:\n return self.async_show_form(step_id='user', data_schema=STEP_USER_DATA_SCHEMA, errors={'base': 'c... | <|body_start_0|>
if user_input is None:
return self.async_show_form(step_id='user', data_schema=STEP_USER_DATA_SCHEMA)
service = await WyomingService.create(user_input[CONF_HOST], user_input[CONF_PORT])
if service is None:
return self.async_show_form(step_id='user', data_... | Handle a config flow for Wyoming integration. | ConfigFlow | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigFlow:
"""Handle a config flow for Wyoming integration."""
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle the initial step."""
<|body_0|>
async def async_step_hassio(self, discovery_info: HassioServiceInfo) -> FlowRe... | stack_v2_sparse_classes_75kplus_train_067740 | 3,831 | permissive | [
{
"docstring": "Handle the initial step.",
"name": "async_step_user",
"signature": "async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult"
},
{
"docstring": "Handle Supervisor add-on discovery.",
"name": "async_step_hassio",
"signature": "async def async_s... | 3 | stack_v2_sparse_classes_30k_train_047555 | Implement the Python class `ConfigFlow` described below.
Class description:
Handle a config flow for Wyoming integration.
Method signatures and docstrings:
- async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult: Handle the initial step.
- async def async_step_hassio(self, discovery_in... | Implement the Python class `ConfigFlow` described below.
Class description:
Handle a config flow for Wyoming integration.
Method signatures and docstrings:
- async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult: Handle the initial step.
- async def async_step_hassio(self, discovery_in... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class ConfigFlow:
"""Handle a config flow for Wyoming integration."""
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle the initial step."""
<|body_0|>
async def async_step_hassio(self, discovery_info: HassioServiceInfo) -> FlowRe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConfigFlow:
"""Handle a config flow for Wyoming integration."""
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle the initial step."""
if user_input is None:
return self.async_show_form(step_id='user', data_schema=STEP_USER_DATA_S... | the_stack_v2_python_sparse | homeassistant/components/wyoming/config_flow.py | home-assistant/core | train | 35,501 |
acf96567c208484480fd8826de0a8cc841135fb1 | [
"cardholder_name = card.name\ntransarmor_token = card.ta_token\ncredit_card_type = card.card_type\ncc_expiry = card.period\ntransaction = firstdata.FirstData(self.FIRST_DATA_KEY_ID, self.FIRST_DATA_HMAC_KEY, gateway_id=self.FIRST_DATA_GATEWAY_ID, password=self.FIRST_DATA_PASSWORD, transaction_type='00', cardholder_... | <|body_start_0|>
cardholder_name = card.name
transarmor_token = card.ta_token
credit_card_type = card.card_type
cc_expiry = card.period
transaction = firstdata.FirstData(self.FIRST_DATA_KEY_ID, self.FIRST_DATA_HMAC_KEY, gateway_id=self.FIRST_DATA_GATEWAY_ID, password=self.FIRST_D... | TransArmorOperations | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransArmorOperations:
def ta_purchase(self, card, amount, reference_no='', customer_ref='', reference_3=''):
"""# Purchase - # The method by which an amount of funds moving from clients credit card to merchants account # Supports "Refund transaction", "Void transaction". # # :param cardh... | stack_v2_sparse_classes_75kplus_train_067741 | 22,151 | no_license | [
{
"docstring": "# Purchase - # The method by which an amount of funds moving from clients credit card to merchants account # Supports \"Refund transaction\", \"Void transaction\". # # :param cardholder_name: The customer's name. The following characters will be stripped from this field: # ; ` \" / % as well as ... | 3 | stack_v2_sparse_classes_30k_train_000881 | Implement the Python class `TransArmorOperations` described below.
Class description:
Implement the TransArmorOperations class.
Method signatures and docstrings:
- def ta_purchase(self, card, amount, reference_no='', customer_ref='', reference_3=''): # Purchase - # The method by which an amount of funds moving from c... | Implement the Python class `TransArmorOperations` described below.
Class description:
Implement the TransArmorOperations class.
Method signatures and docstrings:
- def ta_purchase(self, card, amount, reference_no='', customer_ref='', reference_3=''): # Purchase - # The method by which an amount of funds moving from c... | a27cb847ea7698872b64f9c58e43ebf5aad5590d | <|skeleton|>
class TransArmorOperations:
def ta_purchase(self, card, amount, reference_no='', customer_ref='', reference_3=''):
"""# Purchase - # The method by which an amount of funds moving from clients credit card to merchants account # Supports "Refund transaction", "Void transaction". # # :param cardh... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TransArmorOperations:
def ta_purchase(self, card, amount, reference_no='', customer_ref='', reference_3=''):
"""# Purchase - # The method by which an amount of funds moving from clients credit card to merchants account # Supports "Refund transaction", "Void transaction". # # :param cardholder_name: Th... | the_stack_v2_python_sparse | payments/payment_operations.py | adam1978828/webapp1 | train | 1 | |
478a11221eb3e26ef4fb53042ae055876d5bc868 | [
"self.caps = Capability.NONE\nself.methods: List[Method] = []\nfor method_data in methods:\n try:\n method_cap = Capability._member_map_[method_data.get('type', 'WRONG').upper()]\n except KeyError:\n raise RuntimeError(f'invalid method type for {name}')\n method = Method(self, method_cap, met... | <|body_start_0|>
self.caps = Capability.NONE
self.methods: List[Method] = []
for method_data in methods:
try:
method_cap = Capability._member_map_[method_data.get('type', 'WRONG').upper()]
except KeyError:
raise RuntimeError(f'invalid metho... | Encapsulates a GTFOBin and it's methods for all capabilities | Binary | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Binary:
"""Encapsulates a GTFOBin and it's methods for all capabilities"""
def __init__(self, gtfo: 'GTFOBins', name: str, methods: List[Dict[str, Any]]):
"""Create a GTFOBin from the given list of capabilities"""
<|body_0|>
def iter_methods(self, binary_path: str, caps:... | stack_v2_sparse_classes_75kplus_train_067742 | 17,537 | permissive | [
{
"docstring": "Create a GTFOBin from the given list of capabilities",
"name": "__init__",
"signature": "def __init__(self, gtfo: 'GTFOBins', name: str, methods: List[Dict[str, Any]])"
},
{
"docstring": "Iterate over methods in this binary matching the capability and stream masks",
"name": "... | 2 | stack_v2_sparse_classes_30k_train_024149 | Implement the Python class `Binary` described below.
Class description:
Encapsulates a GTFOBin and it's methods for all capabilities
Method signatures and docstrings:
- def __init__(self, gtfo: 'GTFOBins', name: str, methods: List[Dict[str, Any]]): Create a GTFOBin from the given list of capabilities
- def iter_metho... | Implement the Python class `Binary` described below.
Class description:
Encapsulates a GTFOBin and it's methods for all capabilities
Method signatures and docstrings:
- def __init__(self, gtfo: 'GTFOBins', name: str, methods: List[Dict[str, Any]]): Create a GTFOBin from the given list of capabilities
- def iter_metho... | 37f04d4e16ff47c7fd70e95162f9fccd327cca7e | <|skeleton|>
class Binary:
"""Encapsulates a GTFOBin and it's methods for all capabilities"""
def __init__(self, gtfo: 'GTFOBins', name: str, methods: List[Dict[str, Any]]):
"""Create a GTFOBin from the given list of capabilities"""
<|body_0|>
def iter_methods(self, binary_path: str, caps:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Binary:
"""Encapsulates a GTFOBin and it's methods for all capabilities"""
def __init__(self, gtfo: 'GTFOBins', name: str, methods: List[Dict[str, Any]]):
"""Create a GTFOBin from the given list of capabilities"""
self.caps = Capability.NONE
self.methods: List[Method] = []
... | the_stack_v2_python_sparse | pwncat/gtfobins.py | calebstewart/pwncat | train | 2,177 |
da1c16b31a3b1e82d070848835f4754146eec7ff | [
"nodes = [('const_node', {'type': 'Const', 'kind': 'op'}), ('const_data', {'kind': 'data', 'value': np.array(5)}), ('result_node', {'type': 'Result', 'kind': 'op'}), ('placeholder_1', {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'}), ('placeholder_1_data', {'kind': 'data'}), ('relu_1', {'type': 'ReLU', 'kind... | <|body_start_0|>
nodes = [('const_node', {'type': 'Const', 'kind': 'op'}), ('const_data', {'kind': 'data', 'value': np.array(5)}), ('result_node', {'type': 'Result', 'kind': 'op'}), ('placeholder_1', {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'}), ('placeholder_1_data', {'kind': 'data'}), ('relu_1', {'... | RemoveConstToResultReplacementTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RemoveConstToResultReplacementTest:
def test_only_consumer(self):
"""Result node is only consumer of Const data node"""
<|body_0|>
def test_two_consumers(self):
"""Const data node has two consumers: Result and ReLu"""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_75kplus_train_067743 | 8,443 | permissive | [
{
"docstring": "Result node is only consumer of Const data node",
"name": "test_only_consumer",
"signature": "def test_only_consumer(self)"
},
{
"docstring": "Const data node has two consumers: Result and ReLu",
"name": "test_two_consumers",
"signature": "def test_two_consumers(self)"
... | 2 | stack_v2_sparse_classes_30k_train_052469 | Implement the Python class `RemoveConstToResultReplacementTest` described below.
Class description:
Implement the RemoveConstToResultReplacementTest class.
Method signatures and docstrings:
- def test_only_consumer(self): Result node is only consumer of Const data node
- def test_two_consumers(self): Const data node ... | Implement the Python class `RemoveConstToResultReplacementTest` described below.
Class description:
Implement the RemoveConstToResultReplacementTest class.
Method signatures and docstrings:
- def test_only_consumer(self): Result node is only consumer of Const data node
- def test_two_consumers(self): Const data node ... | 2e6c95f389b195f6d3ff8597147d1f817433cfb3 | <|skeleton|>
class RemoveConstToResultReplacementTest:
def test_only_consumer(self):
"""Result node is only consumer of Const data node"""
<|body_0|>
def test_two_consumers(self):
"""Const data node has two consumers: Result and ReLu"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RemoveConstToResultReplacementTest:
def test_only_consumer(self):
"""Result node is only consumer of Const data node"""
nodes = [('const_node', {'type': 'Const', 'kind': 'op'}), ('const_data', {'kind': 'data', 'value': np.array(5)}), ('result_node', {'type': 'Result', 'kind': 'op'}), ('placeho... | the_stack_v2_python_sparse | model-optimizer/extensions/back/SpecialNodesFinalization_test.py | 0xF6/openvino | train | 2 | |
3c1ae498137ca0bb073c5755c2674f823f34626c | [
"super().__init__(*args, category=CATEGORY_SENSOR)\nstate = self.hass.states.get(self.entity_id)\nserv_humidity = self.add_preload_service(SERV_HUMIDITY_SENSOR)\nself.char_humidity = serv_humidity.configure_char(CHAR_CURRENT_HUMIDITY, value=0)\nself.async_update_state(state)",
"if (humidity := convert_to_float(ne... | <|body_start_0|>
super().__init__(*args, category=CATEGORY_SENSOR)
state = self.hass.states.get(self.entity_id)
serv_humidity = self.add_preload_service(SERV_HUMIDITY_SENSOR)
self.char_humidity = serv_humidity.configure_char(CHAR_CURRENT_HUMIDITY, value=0)
self.async_update_state... | Generate a HumiditySensor accessory as humidity sensor. | HumiditySensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HumiditySensor:
"""Generate a HumiditySensor accessory as humidity sensor."""
def __init__(self, *args):
"""Initialize a HumiditySensor accessory object."""
<|body_0|>
def async_update_state(self, new_state):
"""Update accessory after state change."""
<|b... | stack_v2_sparse_classes_75kplus_train_067744 | 17,041 | permissive | [
{
"docstring": "Initialize a HumiditySensor accessory object.",
"name": "__init__",
"signature": "def __init__(self, *args)"
},
{
"docstring": "Update accessory after state change.",
"name": "async_update_state",
"signature": "def async_update_state(self, new_state)"
}
] | 2 | stack_v2_sparse_classes_30k_train_026911 | Implement the Python class `HumiditySensor` described below.
Class description:
Generate a HumiditySensor accessory as humidity sensor.
Method signatures and docstrings:
- def __init__(self, *args): Initialize a HumiditySensor accessory object.
- def async_update_state(self, new_state): Update accessory after state c... | Implement the Python class `HumiditySensor` described below.
Class description:
Generate a HumiditySensor accessory as humidity sensor.
Method signatures and docstrings:
- def __init__(self, *args): Initialize a HumiditySensor accessory object.
- def async_update_state(self, new_state): Update accessory after state c... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class HumiditySensor:
"""Generate a HumiditySensor accessory as humidity sensor."""
def __init__(self, *args):
"""Initialize a HumiditySensor accessory object."""
<|body_0|>
def async_update_state(self, new_state):
"""Update accessory after state change."""
<|b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HumiditySensor:
"""Generate a HumiditySensor accessory as humidity sensor."""
def __init__(self, *args):
"""Initialize a HumiditySensor accessory object."""
super().__init__(*args, category=CATEGORY_SENSOR)
state = self.hass.states.get(self.entity_id)
serv_humidity = self.... | the_stack_v2_python_sparse | homeassistant/components/homekit/type_sensors.py | home-assistant/core | train | 35,501 |
dd6c817209b7053dd265ac4a929759ab1900a1cd | [
"from __builtin__ import xrange\ncnt = 1\nrpc_idx = len(chars) - 1\nfor i in xrange(len(chars) - 2, -1, -1):\n if chars[i] == chars[i + 1]:\n cnt += 1\n continue\n if cnt == 1:\n chars[rpc_idx] = chars[i + 1]\n else:\n scnt = str(cnt)\n scnt_idx = len(scnt) - 1\n f... | <|body_start_0|>
from __builtin__ import xrange
cnt = 1
rpc_idx = len(chars) - 1
for i in xrange(len(chars) - 2, -1, -1):
if chars[i] == chars[i + 1]:
cnt += 1
continue
if cnt == 1:
chars[rpc_idx] = chars[i + 1]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def compress(self, chars):
""":type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?"""
<|body_0|>
def rewrite(self, chars):
""":type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?"""
<|body_... | stack_v2_sparse_classes_75kplus_train_067745 | 3,877 | no_license | [
{
"docstring": ":type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?",
"name": "compress",
"signature": "def compress(self, chars)"
},
{
"docstring": ":type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?",
"name": "rewrite",
"si... | 2 | stack_v2_sparse_classes_30k_train_049271 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def compress(self, chars): :type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?
- def rewrite(self, chars): :type chars: List[str] :rtype: int Could... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def compress(self, chars): :type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?
- def rewrite(self, chars): :type chars: List[str] :rtype: int Could... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def compress(self, chars):
""":type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?"""
<|body_0|>
def rewrite(self, chars):
""":type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?"""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def compress(self, chars):
""":type chars: List[str] :rtype: int Could you solve it using only O(1) extra space?"""
from __builtin__ import xrange
cnt = 1
rpc_idx = len(chars) - 1
for i in xrange(len(chars) - 2, -1, -1):
if chars[i] == chars[i + 1]... | the_stack_v2_python_sparse | co_lyft/443_String_Compression.py | vsdrun/lc_public | train | 6 | |
3a9a4fbfd4e3ba4552ae39f666267ba7cc5fed03 | [
"for opclass in self.fetch():\n self[opclass.key()] = opclass\nopers = self.dbconn.fetchall(self.cls.opquery())\nself.dbconn.rollback()\nfor opdata in opers:\n sch = opdata['schema']\n opc = opdata['name']\n idx = opdata['index_method']\n strat = opdata['strategy']\n oper = opdata['operator']\n ... | <|body_start_0|>
for opclass in self.fetch():
self[opclass.key()] = opclass
opers = self.dbconn.fetchall(self.cls.opquery())
self.dbconn.rollback()
for opdata in opers:
sch = opdata['schema']
opc = opdata['name']
idx = opdata['index_method'... | The collection of operator classes in a database | OperatorClassDict | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OperatorClassDict:
"""The collection of operator classes in a database"""
def _from_catalog(self):
"""Initialize the dictionary of operator classes from the catalogs"""
<|body_0|>
def from_map(self, schema, inopcls):
"""Initialize the dictionary of operator class... | stack_v2_sparse_classes_75kplus_train_067746 | 9,659 | permissive | [
{
"docstring": "Initialize the dictionary of operator classes from the catalogs",
"name": "_from_catalog",
"signature": "def _from_catalog(self)"
},
{
"docstring": "Initialize the dictionary of operator classes from the input map :param schema: schema owning the operator classes :param inopcls: ... | 2 | null | Implement the Python class `OperatorClassDict` described below.
Class description:
The collection of operator classes in a database
Method signatures and docstrings:
- def _from_catalog(self): Initialize the dictionary of operator classes from the catalogs
- def from_map(self, schema, inopcls): Initialize the diction... | Implement the Python class `OperatorClassDict` described below.
Class description:
The collection of operator classes in a database
Method signatures and docstrings:
- def _from_catalog(self): Initialize the dictionary of operator classes from the catalogs
- def from_map(self, schema, inopcls): Initialize the diction... | ec682513d5256e383647f38f7fba29530cfb9fbe | <|skeleton|>
class OperatorClassDict:
"""The collection of operator classes in a database"""
def _from_catalog(self):
"""Initialize the dictionary of operator classes from the catalogs"""
<|body_0|>
def from_map(self, schema, inopcls):
"""Initialize the dictionary of operator class... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OperatorClassDict:
"""The collection of operator classes in a database"""
def _from_catalog(self):
"""Initialize the dictionary of operator classes from the catalogs"""
for opclass in self.fetch():
self[opclass.key()] = opclass
opers = self.dbconn.fetchall(self.cls.opq... | the_stack_v2_python_sparse | pyrseas/dbobject/operclass.py | perseas/Pyrseas | train | 323 |
42b460e98d9f13e8ab346ccf25e739fcb8333e14 | [
"response = self.images_client.create_image()\nimage_creation_time_in_sec = calendar.timegm(time.gmtime())\nself.assertEqual(response.status_code, 201)\nimage = response.entity\nself.resources.add(image.id_, self.images_client.delete_image)\nerrors = self._validate_core_image_properties(image, image_creation_time_i... | <|body_start_0|>
response = self.images_client.create_image()
image_creation_time_in_sec = calendar.timegm(time.gmtime())
self.assertEqual(response.status_code, 201)
image = response.entity
self.resources.add(image.id_, self.images_client.delete_image)
errors = self._vali... | TestCreateImage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCreateImage:
def test_create_image(self):
"""@summary: Create image 1) Create image 2) Verify that the response code is 201 3) Add the image to the resource pool for deletion 4) Verify that the response contains the correct core properties 5) Verify that the response contains the cor... | stack_v2_sparse_classes_75kplus_train_067747 | 7,441 | permissive | [
{
"docstring": "@summary: Create image 1) Create image 2) Verify that the response code is 201 3) Add the image to the resource pool for deletion 4) Verify that the response contains the correct core properties 5) Verify that the response contains the correct remaining properties",
"name": "test_create_imag... | 4 | null | Implement the Python class `TestCreateImage` described below.
Class description:
Implement the TestCreateImage class.
Method signatures and docstrings:
- def test_create_image(self): @summary: Create image 1) Create image 2) Verify that the response code is 201 3) Add the image to the resource pool for deletion 4) Ve... | Implement the Python class `TestCreateImage` described below.
Class description:
Implement the TestCreateImage class.
Method signatures and docstrings:
- def test_create_image(self): @summary: Create image 1) Create image 2) Verify that the response code is 201 3) Add the image to the resource pool for deletion 4) Ve... | 30f0e64672676c3f90b4a582fe90fac6621475b3 | <|skeleton|>
class TestCreateImage:
def test_create_image(self):
"""@summary: Create image 1) Create image 2) Verify that the response code is 201 3) Add the image to the resource pool for deletion 4) Verify that the response contains the correct core properties 5) Verify that the response contains the cor... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestCreateImage:
def test_create_image(self):
"""@summary: Create image 1) Create image 2) Verify that the response code is 201 3) Add the image to the resource pool for deletion 4) Verify that the response contains the correct core properties 5) Verify that the response contains the correct remaining... | the_stack_v2_python_sparse | cloudroast/images/v2/functional/test_create_image.py | RULCSoft/cloudroast | train | 1 | |
1e3c0d58b901105f8a9febeb0cfa48272742e4ea | [
"context = req.environ['nova.context']\ncontext.can(sg_policies.POLICY_NAME % 'show', target={'project_id': context.project_id})\ntry:\n id = security_group_api.validate_id(id)\n security_group = security_group_api.get(context, id)\nexcept exception.SecurityGroupNotFound as exp:\n raise exc.HTTPNotFound(ex... | <|body_start_0|>
context = req.environ['nova.context']
context.can(sg_policies.POLICY_NAME % 'show', target={'project_id': context.project_id})
try:
id = security_group_api.validate_id(id)
security_group = security_group_api.get(context, id)
except exception.Secur... | The Security group API controller for the OpenStack API. | SecurityGroupController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SecurityGroupController:
"""The Security group API controller for the OpenStack API."""
def show(self, req, id):
"""Return data about the given security group."""
<|body_0|>
def delete(self, req, id):
"""Delete a security group."""
<|body_1|>
def ind... | stack_v2_sparse_classes_75kplus_train_067748 | 20,601 | permissive | [
{
"docstring": "Return data about the given security group.",
"name": "show",
"signature": "def show(self, req, id)"
},
{
"docstring": "Delete a security group.",
"name": "delete",
"signature": "def delete(self, req, id)"
},
{
"docstring": "Returns a list of security groups.",
... | 5 | stack_v2_sparse_classes_30k_train_031328 | Implement the Python class `SecurityGroupController` described below.
Class description:
The Security group API controller for the OpenStack API.
Method signatures and docstrings:
- def show(self, req, id): Return data about the given security group.
- def delete(self, req, id): Delete a security group.
- def index(s... | Implement the Python class `SecurityGroupController` described below.
Class description:
The Security group API controller for the OpenStack API.
Method signatures and docstrings:
- def show(self, req, id): Return data about the given security group.
- def delete(self, req, id): Delete a security group.
- def index(s... | 065c5906d2da3e2bb6eeb3a7a15d4cd8d98b35e9 | <|skeleton|>
class SecurityGroupController:
"""The Security group API controller for the OpenStack API."""
def show(self, req, id):
"""Return data about the given security group."""
<|body_0|>
def delete(self, req, id):
"""Delete a security group."""
<|body_1|>
def ind... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SecurityGroupController:
"""The Security group API controller for the OpenStack API."""
def show(self, req, id):
"""Return data about the given security group."""
context = req.environ['nova.context']
context.can(sg_policies.POLICY_NAME % 'show', target={'project_id': context.proj... | the_stack_v2_python_sparse | nova/api/openstack/compute/security_groups.py | openstack/nova | train | 2,287 |
a7e55ac71a8cfb54711cc724f5fc8a03abb52f08 | [
"letters = {'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6, 'G': 7, 'H': 8, 'I': 9, 'J': 10, 'K': 11, 'L': 12, 'M': 13, 'N': 14, 'O': 15, 'P': 16, 'Q': 17, 'R': 18, 'S': 19, 'T': 20, 'U': 21, 'V': 22, 'W': 23, 'X': 24, 'Y': 25, 'Z': 26}\ns = s.upper()\nret = 0\nb = 0\nfor c in reversed(s):\n ret += letters[c] * ... | <|body_start_0|>
letters = {'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6, 'G': 7, 'H': 8, 'I': 9, 'J': 10, 'K': 11, 'L': 12, 'M': 13, 'N': 14, 'O': 15, 'P': 16, 'Q': 17, 'R': 18, 'S': 19, 'T': 20, 'U': 21, 'V': 22, 'W': 23, 'X': 24, 'Y': 25, 'Z': 26}
s = s.upper()
ret = 0
b = 0
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def titleToNumber(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def titleToNumber2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
letters = {'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6, 'G': ... | stack_v2_sparse_classes_75kplus_train_067749 | 1,010 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "titleToNumber",
"signature": "def titleToNumber(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "titleToNumber2",
"signature": "def titleToNumber2(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027936 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def titleToNumber(self, s): :type s: str :rtype: int
- def titleToNumber2(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def titleToNumber(self, s): :type s: str :rtype: int
- def titleToNumber2(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def titleToNumber(self, s):
... | 434889037fe3e405a8cbc71cd822eb1bda9aa606 | <|skeleton|>
class Solution:
def titleToNumber(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def titleToNumber2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def titleToNumber(self, s):
""":type s: str :rtype: int"""
letters = {'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6, 'G': 7, 'H': 8, 'I': 9, 'J': 10, 'K': 11, 'L': 12, 'M': 13, 'N': 14, 'O': 15, 'P': 16, 'Q': 17, 'R': 18, 'S': 19, 'T': 20, 'U': 21, 'V': 22, 'W': 23, 'X': 24, 'Y': 25... | the_stack_v2_python_sparse | python/0171.excel-sheet-column-number/excel-sheet-column-number.py | ysmintor/leetcode | train | 0 | |
20c0b1a1a6675ba51d77b22bc5af292510d91d81 | [
"tasks.sort()\nn = len(tasks)\nallOnes = (1 << n) - 1\n\n@lru_cache(None)\ndef backtrack(mask, currTime):\n if currTime > sessionTime:\n return float('inf')\n if mask == allOnes:\n return 1\n ans = float('inf')\n for i in range(n):\n if mask & 1 << i == 0:\n includeInCurr... | <|body_start_0|>
tasks.sort()
n = len(tasks)
allOnes = (1 << n) - 1
@lru_cache(None)
def backtrack(mask, currTime):
if currTime > sessionTime:
return float('inf')
if mask == allOnes:
return 1
ans = float('inf')
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minSessions(self, tasks, sessionTime):
""":type tasks: List[int] :type sessionTime: int :rtype: int"""
<|body_0|>
def minSessionsDpBit(self, tasks, sessionTime):
""":type tasks: List[int] :type sessionTime: int :rtype: int"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_067750 | 3,725 | no_license | [
{
"docstring": ":type tasks: List[int] :type sessionTime: int :rtype: int",
"name": "minSessions",
"signature": "def minSessions(self, tasks, sessionTime)"
},
{
"docstring": ":type tasks: List[int] :type sessionTime: int :rtype: int",
"name": "minSessionsDpBit",
"signature": "def minSess... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSessions(self, tasks, sessionTime): :type tasks: List[int] :type sessionTime: int :rtype: int
- def minSessionsDpBit(self, tasks, sessionTime): :type tasks: List[int] :typ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSessions(self, tasks, sessionTime): :type tasks: List[int] :type sessionTime: int :rtype: int
- def minSessionsDpBit(self, tasks, sessionTime): :type tasks: List[int] :typ... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def minSessions(self, tasks, sessionTime):
""":type tasks: List[int] :type sessionTime: int :rtype: int"""
<|body_0|>
def minSessionsDpBit(self, tasks, sessionTime):
""":type tasks: List[int] :type sessionTime: int :rtype: int"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def minSessions(self, tasks, sessionTime):
""":type tasks: List[int] :type sessionTime: int :rtype: int"""
tasks.sort()
n = len(tasks)
allOnes = (1 << n) - 1
@lru_cache(None)
def backtrack(mask, currTime):
if currTime > sessionTime:
... | the_stack_v2_python_sparse | M/MinimumNumberofWorkSessionstoFinishtheTasks.py | bssrdf/pyleet | train | 2 | |
76fd0f95bb57487e9e4e61a13e929363395056cd | [
"self.tab_entrada = tabuleiro.copy()\nself.tab_final = [self.tab_entrada.copy()]\nself.game_rounds = game_rounds\nself.largura = len(tabuleiro[0])\nself.altura = len(tabuleiro)",
"cells = {}\nfor y_pos in range(self.altura):\n for x_pos in range(self.largura):\n elmt = self.tab_final[game_round][y_pos][... | <|body_start_0|>
self.tab_entrada = tabuleiro.copy()
self.tab_final = [self.tab_entrada.copy()]
self.game_rounds = game_rounds
self.largura = len(tabuleiro[0])
self.altura = len(tabuleiro)
<|end_body_0|>
<|body_start_1|>
cells = {}
for y_pos in range(self.altura)... | Classe para execução do Jogo da Vida | Jogo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Jogo:
"""Classe para execução do Jogo da Vida"""
def __init__(self, tabuleiro, game_rounds):
"""Função para preparar atributos necessários ao jogo, como tabuleiro inicial e numero de game_rounds. Tambem são iniciados o tabuleiro final, de 3 dimensões, sendo a primeira delas o quadro ... | stack_v2_sparse_classes_75kplus_train_067751 | 5,159 | no_license | [
{
"docstring": "Função para preparar atributos necessários ao jogo, como tabuleiro inicial e numero de game_rounds. Tambem são iniciados o tabuleiro final, de 3 dimensões, sendo a primeira delas o quadro dado, a altura e largura de um determinado tabuleiro.",
"name": "__init__",
"signature": "def __init... | 6 | stack_v2_sparse_classes_30k_train_030182 | Implement the Python class `Jogo` described below.
Class description:
Classe para execução do Jogo da Vida
Method signatures and docstrings:
- def __init__(self, tabuleiro, game_rounds): Função para preparar atributos necessários ao jogo, como tabuleiro inicial e numero de game_rounds. Tambem são iniciados o tabuleir... | Implement the Python class `Jogo` described below.
Class description:
Classe para execução do Jogo da Vida
Method signatures and docstrings:
- def __init__(self, tabuleiro, game_rounds): Função para preparar atributos necessários ao jogo, como tabuleiro inicial e numero de game_rounds. Tambem são iniciados o tabuleir... | b61f63d2396f8fa6e90b7d9c74830306988c6f64 | <|skeleton|>
class Jogo:
"""Classe para execução do Jogo da Vida"""
def __init__(self, tabuleiro, game_rounds):
"""Função para preparar atributos necessários ao jogo, como tabuleiro inicial e numero de game_rounds. Tambem são iniciados o tabuleiro final, de 3 dimensões, sendo a primeira delas o quadro ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Jogo:
"""Classe para execução do Jogo da Vida"""
def __init__(self, tabuleiro, game_rounds):
"""Função para preparar atributos necessários ao jogo, como tabuleiro inicial e numero de game_rounds. Tambem são iniciados o tabuleiro final, de 3 dimensões, sendo a primeira delas o quadro dado, a altur... | the_stack_v2_python_sparse | lab09/main.py | kinderferraz/mc102 | train | 0 |
09edf147777f1ff5956cb528ee35ae9c7e033b25 | [
"super(DeviceTarget, self).__init__()\nself.region = region\nself.role = role\nself.network = network\nself.hostname = hostname\nself.realm = 'ACQ_CHROME'\nself.alertable = True\nself._fields = ('region', 'role', 'network', 'hostname')",
"collection.network_device.metro = self.region\ncollection.network_device.ro... | <|body_start_0|>
super(DeviceTarget, self).__init__()
self.region = region
self.role = role
self.network = network
self.hostname = hostname
self.realm = 'ACQ_CHROME'
self.alertable = True
self._fields = ('region', 'role', 'network', 'hostname')
<|end_body_... | Monitoring interface class for monitoring specific hosts or devices. | DeviceTarget | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeviceTarget:
"""Monitoring interface class for monitoring specific hosts or devices."""
def __init__(self, region, role, network, hostname):
"""Create a Target object exporting info about a specific device. Args: region (str): physical region in which the device is located. role (st... | stack_v2_sparse_classes_75kplus_train_067752 | 4,448 | permissive | [
{
"docstring": "Create a Target object exporting info about a specific device. Args: region (str): physical region in which the device is located. role (str): role of the device. network (str): virtual network on which the device is located. hostname (str): name by which the device self-identifies.",
"name"... | 2 | stack_v2_sparse_classes_30k_train_029232 | Implement the Python class `DeviceTarget` described below.
Class description:
Monitoring interface class for monitoring specific hosts or devices.
Method signatures and docstrings:
- def __init__(self, region, role, network, hostname): Create a Target object exporting info about a specific device. Args: region (str):... | Implement the Python class `DeviceTarget` described below.
Class description:
Monitoring interface class for monitoring specific hosts or devices.
Method signatures and docstrings:
- def __init__(self, region, role, network, hostname): Create a Target object exporting info about a specific device. Args: region (str):... | 53102de187a48ac2cfc241fef54dcbc29c453a8e | <|skeleton|>
class DeviceTarget:
"""Monitoring interface class for monitoring specific hosts or devices."""
def __init__(self, region, role, network, hostname):
"""Create a Target object exporting info about a specific device. Args: region (str): physical region in which the device is located. role (st... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeviceTarget:
"""Monitoring interface class for monitoring specific hosts or devices."""
def __init__(self, region, role, network, hostname):
"""Create a Target object exporting info about a specific device. Args: region (str): physical region in which the device is located. role (str): role of t... | the_stack_v2_python_sparse | third_party/gae_ts_mon/gae_ts_mon/common/targets.py | catapult-project/catapult | train | 2,032 |
6177e37be64b94b52bf5b0bf6e35181e92159170 | [
"self.interval = interval\nthread = threading.Thread(target=self.update_information, args=())\nthread.setDaemon(True)\nthread.start()",
"while True:\n full_weather = prediction_weather_funct()\n print(f'#### Updating Weather Information @ {datetime.now()} ####')\n self.update = Weatherforecast\n sle... | <|body_start_0|>
self.interval = interval
thread = threading.Thread(target=self.update_information, args=())
thread.setDaemon(True)
thread.start()
<|end_body_0|>
<|body_start_1|>
while True:
full_weather = prediction_weather_funct()
print(f'#### Updating... | Weatherforecast | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Weatherforecast:
def __init__(self, interval):
"""Constructor: Make a background job whihch automatically updates the weather infomration. (int) Interval: time to sleep after running update function"""
<|body_0|>
def update_information(self):
"""Method that runs in b... | stack_v2_sparse_classes_75kplus_train_067753 | 5,735 | no_license | [
{
"docstring": "Constructor: Make a background job whihch automatically updates the weather infomration. (int) Interval: time to sleep after running update function",
"name": "__init__",
"signature": "def __init__(self, interval)"
},
{
"docstring": "Method that runs in background updating global... | 2 | stack_v2_sparse_classes_30k_train_000484 | Implement the Python class `Weatherforecast` described below.
Class description:
Implement the Weatherforecast class.
Method signatures and docstrings:
- def __init__(self, interval): Constructor: Make a background job whihch automatically updates the weather infomration. (int) Interval: time to sleep after running u... | Implement the Python class `Weatherforecast` described below.
Class description:
Implement the Weatherforecast class.
Method signatures and docstrings:
- def __init__(self, interval): Constructor: Make a background job whihch automatically updates the weather infomration. (int) Interval: time to sleep after running u... | 5efeebedd4695ef9d904beb707a1538ba049b187 | <|skeleton|>
class Weatherforecast:
def __init__(self, interval):
"""Constructor: Make a background job whihch automatically updates the weather infomration. (int) Interval: time to sleep after running update function"""
<|body_0|>
def update_information(self):
"""Method that runs in b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Weatherforecast:
def __init__(self, interval):
"""Constructor: Make a background job whihch automatically updates the weather infomration. (int) Interval: time to sleep after running update function"""
self.interval = interval
thread = threading.Thread(target=self.update_information, a... | the_stack_v2_python_sparse | dbbus/apps/prediction/get_prediction.py | mofiebiger/DublinBus | train | 1 | |
ff0079322c9c2cf6171813bc663a3b31c2aaa26c | [
"for entity in obj.entity_set.all():\n if user.has_perm('share_entity', entity):\n update_permission(entity, payload)\nfor data in obj.data.all():\n if user.has_perm('share_data', data):\n update_permission(data, payload)",
"if not request.user.is_authenticated:\n raise exceptions.NotFound\... | <|body_start_0|>
for entity in obj.entity_set.all():
if user.has_perm('share_entity', entity):
update_permission(entity, payload)
for data in obj.data.all():
if user.has_perm('share_data', data):
update_permission(data, payload)
<|end_body_0|>
<|b... | Base API view for :class:`Collection` objects. | BaseCollectionViewSet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseCollectionViewSet:
"""Base API view for :class:`Collection` objects."""
def set_content_permissions(self, user, obj, payload):
"""Apply permissions to data objects and entities in ``Collection``."""
<|body_0|>
def create(self, request, *args, **kwargs):
"""On... | stack_v2_sparse_classes_75kplus_train_067754 | 3,589 | permissive | [
{
"docstring": "Apply permissions to data objects and entities in ``Collection``.",
"name": "set_content_permissions",
"signature": "def set_content_permissions(self, user, obj, payload)"
},
{
"docstring": "Only authenticated users can create new collections.",
"name": "create",
"signatu... | 3 | stack_v2_sparse_classes_30k_train_028757 | Implement the Python class `BaseCollectionViewSet` described below.
Class description:
Base API view for :class:`Collection` objects.
Method signatures and docstrings:
- def set_content_permissions(self, user, obj, payload): Apply permissions to data objects and entities in ``Collection``.
- def create(self, request,... | Implement the Python class `BaseCollectionViewSet` described below.
Class description:
Base API view for :class:`Collection` objects.
Method signatures and docstrings:
- def set_content_permissions(self, user, obj, payload): Apply permissions to data objects and entities in ``Collection``.
- def create(self, request,... | 11a06a9d741dcc999253246919a0abc12127fd2a | <|skeleton|>
class BaseCollectionViewSet:
"""Base API view for :class:`Collection` objects."""
def set_content_permissions(self, user, obj, payload):
"""Apply permissions to data objects and entities in ``Collection``."""
<|body_0|>
def create(self, request, *args, **kwargs):
"""On... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseCollectionViewSet:
"""Base API view for :class:`Collection` objects."""
def set_content_permissions(self, user, obj, payload):
"""Apply permissions to data objects and entities in ``Collection``."""
for entity in obj.entity_set.all():
if user.has_perm('share_entity', entit... | the_stack_v2_python_sparse | resolwe/flow/views/collection.py | romunov/resolwe | train | 0 |
19f554cea5cb47ccc4ef7343ca148521649c8468 | [
"def preorder(node: TreeNode, vals: List[str]):\n if node == None:\n vals.append('null')\n return\n vals.append(node.val)\n preorder(node.left, vals)\n preorder(node.right, vals)\nvals = []\npreorder(root, vals)\nreturn '#'.join(map(str, vals))",
"vals = deque(data.split('#'))\n\ndef con... | <|body_start_0|>
def preorder(node: TreeNode, vals: List[str]):
if node == None:
vals.append('null')
return
vals.append(node.val)
preorder(node.left, vals)
preorder(node.right, vals)
vals = []
preorder(root, vals)
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def preorder(n... | stack_v2_sparse_classes_75kplus_train_067755 | 1,012 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
}
] | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
<|skeleton|>
class Co... | 4b1c76729576684331a8f1cdd7ced8b757c20fea | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
def preorder(node: TreeNode, vals: List[str]):
if node == None:
vals.append('null')
return
vals.append(node.val)
preorder(node.left, v... | the_stack_v2_python_sparse | 0449_SerializeandDeserializeBST.py | ysonggit/leetcode_python | train | 1 | |
35e3dc56730612e0299c97f3686bb8e0ba37a776 | [
"super().__init__(name=name)\nself.pool = pool\nself._queue = message_queue\nself.daemon = True\nself.idle = True\nself.started = time.time()",
"if self.pool.name:\n time_in_queue = time.time() - queueing_time\n THREADPOOL_QUEUEING_TIME.RecordEvent(time_in_queue, fields=[self.pool.name])\n start_time = t... | <|body_start_0|>
super().__init__(name=name)
self.pool = pool
self._queue = message_queue
self.daemon = True
self.idle = True
self.started = time.time()
<|end_body_0|>
<|body_start_1|>
if self.pool.name:
time_in_queue = time.time() - queueing_time
... | The workers used in the ThreadPool class. | _WorkerThread | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _WorkerThread:
"""The workers used in the ThreadPool class."""
def __init__(self, message_queue, pool, name):
"""Initializer. This creates a new worker object for the ThreadPool class. Args: message_queue: A queue.Queue object used by the ThreadPool class to communicate with the work... | stack_v2_sparse_classes_75kplus_train_067756 | 18,809 | permissive | [
{
"docstring": "Initializer. This creates a new worker object for the ThreadPool class. Args: message_queue: A queue.Queue object used by the ThreadPool class to communicate with the workers. When a new task arrives, the ThreadPool notifies the workers by putting a message into this queue that has the format (t... | 4 | stack_v2_sparse_classes_30k_train_005530 | Implement the Python class `_WorkerThread` described below.
Class description:
The workers used in the ThreadPool class.
Method signatures and docstrings:
- def __init__(self, message_queue, pool, name): Initializer. This creates a new worker object for the ThreadPool class. Args: message_queue: A queue.Queue object ... | Implement the Python class `_WorkerThread` described below.
Class description:
The workers used in the ThreadPool class.
Method signatures and docstrings:
- def __init__(self, message_queue, pool, name): Initializer. This creates a new worker object for the ThreadPool class. Args: message_queue: A queue.Queue object ... | 44c0eb8c938302098ef7efae8cfd6b90bcfbb2d6 | <|skeleton|>
class _WorkerThread:
"""The workers used in the ThreadPool class."""
def __init__(self, message_queue, pool, name):
"""Initializer. This creates a new worker object for the ThreadPool class. Args: message_queue: A queue.Queue object used by the ThreadPool class to communicate with the work... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _WorkerThread:
"""The workers used in the ThreadPool class."""
def __init__(self, message_queue, pool, name):
"""Initializer. This creates a new worker object for the ThreadPool class. Args: message_queue: A queue.Queue object used by the ThreadPool class to communicate with the workers. When a n... | the_stack_v2_python_sparse | grr/server/grr_response_server/threadpool.py | google/grr | train | 4,683 |
716ef9c278520a0843fa7e35eab10fe209c1c948 | [
"self.d = {}\nfor i in range(len(words)):\n w = words[i]\n if w in self.d:\n self.d[w].append(i)\n else:\n self.d[w] = [i]",
"l1 = self.d[word1]\nl2 = self.d[word2]\nans = float('inf')\nfor i in l1:\n for j in l2:\n if abs(i - j) < ans:\n ans = abs(i - j)\nreturn ans"
] | <|body_start_0|>
self.d = {}
for i in range(len(words)):
w = words[i]
if w in self.d:
self.d[w].append(i)
else:
self.d[w] = [i]
<|end_body_0|>
<|body_start_1|>
l1 = self.d[word1]
l2 = self.d[word2]
ans = float('... | WordDistance | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.d = {}
for i in range(le... | stack_v2_sparse_classes_75kplus_train_067757 | 805 | no_license | [
{
"docstring": ":type words: List[str]",
"name": "__init__",
"signature": "def __init__(self, words)"
},
{
"docstring": ":type word1: str :type word2: str :rtype: int",
"name": "shortest",
"signature": "def shortest(self, word1, word2)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001740 | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int
<|skeleton|>
class WordDistance:
... | 70f16a872cb203f77eeddb812e734ad1d46df79d | <|skeleton|>
class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
self.d = {}
for i in range(len(words)):
w = words[i]
if w in self.d:
self.d[w].append(i)
else:
self.d[w] = [i]
def shortest(self, word1, word2)... | the_stack_v2_python_sparse | shortest-word-distance-2.py | cannium/leetcode | train | 0 | |
74e321235641f5236347577cbaa23bf3cea9df40 | [
"kwargs = {}\ndefault_style = self.get('default_style', None)\nif default_style is None or default_style == 'mpl':\n if artist == 'Patch':\n kwargs['fill'] = False\n elif artist == 'Line2D':\n kwargs['fillstyle'] = 'none'\n kwargs['marker'] = 'o'\n return kwargs\nelif default_style == ... | <|body_start_0|>
kwargs = {}
default_style = self.get('default_style', None)
if default_style is None or default_style == 'mpl':
if artist == 'Patch':
kwargs['fill'] = False
elif artist == 'Line2D':
kwargs['fillstyle'] = 'none'
... | A dictionary subclass which holds the visual attributes of the region. | RegionVisual | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegionVisual:
"""A dictionary subclass which holds the visual attributes of the region."""
def _define_default_mpl_kwargs(self, artist):
"""Define the default matplotlib kwargs for the specified artist. The kwargs depend on the value of self.visual['default_style'], which can be set ... | stack_v2_sparse_classes_75kplus_train_067758 | 6,399 | permissive | [
{
"docstring": "Define the default matplotlib kwargs for the specified artist. The kwargs depend on the value of self.visual['default_style'], which can be set when reading region files. If this keywords is not set or set to 'mpl' or `None`, then the matplotlib defaults will be used, with the exception fill is ... | 3 | stack_v2_sparse_classes_30k_train_013742 | Implement the Python class `RegionVisual` described below.
Class description:
A dictionary subclass which holds the visual attributes of the region.
Method signatures and docstrings:
- def _define_default_mpl_kwargs(self, artist): Define the default matplotlib kwargs for the specified artist. The kwargs depend on the... | Implement the Python class `RegionVisual` described below.
Class description:
A dictionary subclass which holds the visual attributes of the region.
Method signatures and docstrings:
- def _define_default_mpl_kwargs(self, artist): Define the default matplotlib kwargs for the specified artist. The kwargs depend on the... | 3d469f7a33e5d674df99afa62094df183e69ac85 | <|skeleton|>
class RegionVisual:
"""A dictionary subclass which holds the visual attributes of the region."""
def _define_default_mpl_kwargs(self, artist):
"""Define the default matplotlib kwargs for the specified artist. The kwargs depend on the value of self.visual['default_style'], which can be set ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RegionVisual:
"""A dictionary subclass which holds the visual attributes of the region."""
def _define_default_mpl_kwargs(self, artist):
"""Define the default matplotlib kwargs for the specified artist. The kwargs depend on the value of self.visual['default_style'], which can be set when reading ... | the_stack_v2_python_sparse | regions/core/metadata.py | simrit1/regions | train | 0 |
8651b6bd2cbd75d9aba12ad4cab767cf2202e9af | [
"stakeholder_categories = set()\nfor stakeholder_category in self.stakeholdercategory_set.all():\n stakeholder_categories.add(stakeholder_category)\nreturn stakeholder_categories",
"implementations = set()\nfor uic in self.userincasestudy_set.all():\n for implementation in uic.implementation_set.all():\n ... | <|body_start_0|>
stakeholder_categories = set()
for stakeholder_category in self.stakeholdercategory_set.all():
stakeholder_categories.add(stakeholder_category)
return stakeholder_categories
<|end_body_0|>
<|body_start_1|>
implementations = set()
for uic in self.user... | CaseStudy | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CaseStudy:
def stakeholder_categories(self):
"""look for all stakeholder categories created by the users of the casestudy"""
<|body_0|>
def implementations(self):
"""look for all stakeholder categories created by the users of the casestudy"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_067759 | 3,398 | no_license | [
{
"docstring": "look for all stakeholder categories created by the users of the casestudy",
"name": "stakeholder_categories",
"signature": "def stakeholder_categories(self)"
},
{
"docstring": "look for all stakeholder categories created by the users of the casestudy",
"name": "implementation... | 2 | stack_v2_sparse_classes_30k_train_021270 | Implement the Python class `CaseStudy` described below.
Class description:
Implement the CaseStudy class.
Method signatures and docstrings:
- def stakeholder_categories(self): look for all stakeholder categories created by the users of the casestudy
- def implementations(self): look for all stakeholder categories cre... | Implement the Python class `CaseStudy` described below.
Class description:
Implement the CaseStudy class.
Method signatures and docstrings:
- def stakeholder_categories(self): look for all stakeholder categories created by the users of the casestudy
- def implementations(self): look for all stakeholder categories cre... | a5ba34f085f0d5af5ea3ded24706ea54ab39e7cb | <|skeleton|>
class CaseStudy:
def stakeholder_categories(self):
"""look for all stakeholder categories created by the users of the casestudy"""
<|body_0|>
def implementations(self):
"""look for all stakeholder categories created by the users of the casestudy"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CaseStudy:
def stakeholder_categories(self):
"""look for all stakeholder categories created by the users of the casestudy"""
stakeholder_categories = set()
for stakeholder_category in self.stakeholdercategory_set.all():
stakeholder_categories.add(stakeholder_category)
... | the_stack_v2_python_sparse | repair/apps/login/models/users.py | MaxBo/REPAiR-Web | train | 9 | |
9f2f7bdbe644fc84c68066666508221cd7e6e9bc | [
"super().__init__(**kwargs)\nself.fc1 = keras.layers.Dense(128, activation='relu')\nself.reshape = keras.layers.Reshape((4, 4, 8))\nself.conv1 = keras.layers.Conv2D(8, (3, 3), padding='same', activation='relu')\nself.up1 = keras.layers.UpSampling2D(size=(2, 2))\nself.conv2 = keras.layers.Conv2D(8, (3, 3), padding='... | <|body_start_0|>
super().__init__(**kwargs)
self.fc1 = keras.layers.Dense(128, activation='relu')
self.reshape = keras.layers.Reshape((4, 4, 8))
self.conv1 = keras.layers.Conv2D(8, (3, 3), padding='same', activation='relu')
self.up1 = keras.layers.UpSampling2D(size=(2, 2))
... | MNIST decoder used in the Counterfactual with Reinforcement Learning experiments. The model consists of a fully connected layer of 128 units with ReLU activation followed by a convolutional block. The convolutional block consists fo 4 convolutional layers having 8, 8, 8 and 1 channels and a kernel size of 3. Each convo... | MNISTDecoder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MNISTDecoder:
"""MNIST decoder used in the Counterfactual with Reinforcement Learning experiments. The model consists of a fully connected layer of 128 units with ReLU activation followed by a convolutional block. The convolutional block consists fo 4 convolutional layers having 8, 8, 8 and 1 cha... | stack_v2_sparse_classes_75kplus_train_067760 | 8,692 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, **kwargs) -> None"
},
{
"docstring": "Forward pass. Parameters ---------- x Input tensor **kwargs Other arguments. Not used. Returns ------- Decoded input having each component in the interval [0, 1].",
"name... | 2 | stack_v2_sparse_classes_30k_train_043072 | Implement the Python class `MNISTDecoder` described below.
Class description:
MNIST decoder used in the Counterfactual with Reinforcement Learning experiments. The model consists of a fully connected layer of 128 units with ReLU activation followed by a convolutional block. The convolutional block consists fo 4 convol... | Implement the Python class `MNISTDecoder` described below.
Class description:
MNIST decoder used in the Counterfactual with Reinforcement Learning experiments. The model consists of a fully connected layer of 128 units with ReLU activation followed by a convolutional block. The convolutional block consists fo 4 convol... | 54d0c957fb01c7ebba4e2a0d28fcbde52d9c6718 | <|skeleton|>
class MNISTDecoder:
"""MNIST decoder used in the Counterfactual with Reinforcement Learning experiments. The model consists of a fully connected layer of 128 units with ReLU activation followed by a convolutional block. The convolutional block consists fo 4 convolutional layers having 8, 8, 8 and 1 cha... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MNISTDecoder:
"""MNIST decoder used in the Counterfactual with Reinforcement Learning experiments. The model consists of a fully connected layer of 128 units with ReLU activation followed by a convolutional block. The convolutional block consists fo 4 convolutional layers having 8, 8, 8 and 1 channels and a k... | the_stack_v2_python_sparse | alibi/models/tensorflow/cfrl_models.py | SeldonIO/alibi | train | 2,143 |
b1ff2060acac96a8e9f2bc7cd650a942daa1ba20 | [
"\"\"\"\n 解决方案:\n url:https://leetcode.com/problems/rle-iterator/discuss/176553/Python-simple-pointer-to-next-element\n 1. 不单独构建新的列表结构，只标记取数的位置，迭代读取返回结果\n url: https://leetcode.com/problems/rle-iterator/discuss/175683/Python-Binary-Search-Solution-beats-100\n 2. 组成取值列表和索引列表映射，next... | <|body_start_0|>
"""
解决方案:
url:https://leetcode.com/problems/rle-iterator/discuss/176553/Python-simple-pointer-to-next-element
1. 不单独构建新的列表结构，只标记取数的位置，迭代读取返回结果
url: https://leetcode.com/problems/rle-iterator/discuss/175683/Python-Binary-Search-Solu... | RLEIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
<|body_0|>
def next(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
"""
解决方案:
url:https://leetcode.com/problems/rle-it... | stack_v2_sparse_classes_75kplus_train_067761 | 1,523 | no_license | [
{
"docstring": ":type A: List[int]",
"name": "__init__",
"signature": "def __init__(self, A)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "next",
"signature": "def next(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000115 | Implement the Python class `RLEIterator` described below.
Class description:
Implement the RLEIterator class.
Method signatures and docstrings:
- def __init__(self, A): :type A: List[int]
- def next(self, n): :type n: int :rtype: int | Implement the Python class `RLEIterator` described below.
Class description:
Implement the RLEIterator class.
Method signatures and docstrings:
- def __init__(self, A): :type A: List[int]
- def next(self, n): :type n: int :rtype: int
<|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: Lis... | a39280ab6bbbf3b688a024a71ef952be5010d98e | <|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
<|body_0|>
def next(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
"""
解决方案:
url:https://leetcode.com/problems/rle-iterator/discuss/176553/Python-simple-pointer-to-next-element
1. 不单独构建新的列表结构，只标记取数的位置，迭代读取返回结果
url: https://leetcode.com/... | the_stack_v2_python_sparse | 900_RLE_Iterator.py | MarcelArthur/leetcode_collection | train | 0 | |
369a3cd231756a93fc7429f5f6a144adbbac262b | [
"kwargs = {'bk_username': bk_username, 'bk_biz_id': bk_biz_id}\nkwargs.update(params)\nreturn JobApi.get_job_list(kwargs)",
"kwargs = {'bk_username': bk_username, 'bk_biz_id': bk_biz_id, 'bk_job_id': bk_job_id}\nresponse = JobApi.get_job_detail(kwargs)\nreturn response",
"kwargs = {'bk_username': bk_username, '... | <|body_start_0|>
kwargs = {'bk_username': bk_username, 'bk_biz_id': bk_biz_id}
kwargs.update(params)
return JobApi.get_job_list(kwargs)
<|end_body_0|>
<|body_start_1|>
kwargs = {'bk_username': bk_username, 'bk_biz_id': bk_biz_id, 'bk_job_id': bk_job_id}
response = JobApi.get_job... | JOB3.0 接口 | JOB | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JOB:
"""JOB3.0 接口"""
def get_job_list(self, bk_username, bk_biz_id, **params):
"""查询作业执行方案列表 :param bk_username: 用户 :param bk_biz_id: 业务ID :param params: 过滤条件 creator name create_time_start create_time_end last_modify_user last_modify_time_start last_modify_time_end start length :ret... | stack_v2_sparse_classes_75kplus_train_067762 | 4,972 | permissive | [
{
"docstring": "查询作业执行方案列表 :param bk_username: 用户 :param bk_biz_id: 业务ID :param params: 过滤条件 creator name create_time_start create_time_end last_modify_user last_modify_time_start last_modify_time_end start length :return: [ { \"bk_biz_id\": 1, \"bk_job_id\": 100, \"name\": \"test\", \"creator\": \"admin\", \"l... | 6 | stack_v2_sparse_classes_30k_train_039273 | Implement the Python class `JOB` described below.
Class description:
JOB3.0 接口
Method signatures and docstrings:
- def get_job_list(self, bk_username, bk_biz_id, **params): 查询作业执行方案列表 :param bk_username: 用户 :param bk_biz_id: 业务ID :param params: 过滤条件 creator name create_time_start create_time_end last_modify_user last... | Implement the Python class `JOB` described below.
Class description:
JOB3.0 接口
Method signatures and docstrings:
- def get_job_list(self, bk_username, bk_biz_id, **params): 查询作业执行方案列表 :param bk_username: 用户 :param bk_biz_id: 业务ID :param params: 过滤条件 creator name create_time_start create_time_end last_modify_user last... | da37fb2197142eae32158cdb5c2b658100133fff | <|skeleton|>
class JOB:
"""JOB3.0 接口"""
def get_job_list(self, bk_username, bk_biz_id, **params):
"""查询作业执行方案列表 :param bk_username: 用户 :param bk_biz_id: 业务ID :param params: 过滤条件 creator name create_time_start create_time_end last_modify_user last_modify_time_start last_modify_time_end start length :ret... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JOB:
"""JOB3.0 接口"""
def get_job_list(self, bk_username, bk_biz_id, **params):
"""查询作业执行方案列表 :param bk_username: 用户 :param bk_biz_id: 业务ID :param params: 过滤条件 creator name create_time_start create_time_end last_modify_user last_modify_time_start last_modify_time_end start length :return: [ { "bk_... | the_stack_v2_python_sparse | module_api/bk_esb/job.py | cz-qq/bk-chatbot | train | 0 |
6c9978829790d426af95855e5b91d5b9275d2b6c | [
"super(FemAdapter, self).__init__(**kwargs)\nself.fem = Fem()\nlogging.debug('Fem Adapter loaded')",
"try:\n response = self.fem.get(path)\n status_code = 200\nexcept ParameterTreeError as e:\n response = {'error': str(e)}\n status_code = 400\ncontent_type = 'application/json'\nreturn ApiAdapterRespon... | <|body_start_0|>
super(FemAdapter, self).__init__(**kwargs)
self.fem = Fem()
logging.debug('Fem Adapter loaded')
<|end_body_0|>
<|body_start_1|>
try:
response = self.fem.get(path)
status_code = 200
except ParameterTreeError as e:
response = {'... | This is a comment | FemAdapter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FemAdapter:
"""This is a comment"""
def __init__(self, **kwargs):
"""Initialize the FemAdapter object. This constructor initializes the FemAdapter object. :param kwargs: keyword arguments specifying options"""
<|body_0|>
def get(self, path, request):
"""Handle an... | stack_v2_sparse_classes_75kplus_train_067763 | 15,356 | no_license | [
{
"docstring": "Initialize the FemAdapter object. This constructor initializes the FemAdapter object. :param kwargs: keyword arguments specifying options",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "Handle an HTTP GET request. This method handles an HTTP G... | 4 | stack_v2_sparse_classes_30k_train_043995 | Implement the Python class `FemAdapter` described below.
Class description:
This is a comment
Method signatures and docstrings:
- def __init__(self, **kwargs): Initialize the FemAdapter object. This constructor initializes the FemAdapter object. :param kwargs: keyword arguments specifying options
- def get(self, path... | Implement the Python class `FemAdapter` described below.
Class description:
This is a comment
Method signatures and docstrings:
- def __init__(self, **kwargs): Initialize the FemAdapter object. This constructor initializes the FemAdapter object. :param kwargs: keyword arguments specifying options
- def get(self, path... | e8a1adba28f2efe8ab6004cd70f05aebb1ee6349 | <|skeleton|>
class FemAdapter:
"""This is a comment"""
def __init__(self, **kwargs):
"""Initialize the FemAdapter object. This constructor initializes the FemAdapter object. :param kwargs: keyword arguments specifying options"""
<|body_0|>
def get(self, path, request):
"""Handle an... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FemAdapter:
"""This is a comment"""
def __init__(self, **kwargs):
"""Initialize the FemAdapter object. This constructor initializes the FemAdapter object. :param kwargs: keyword arguments specifying options"""
super(FemAdapter, self).__init__(**kwargs)
self.fem = Fem()
log... | the_stack_v2_python_sparse | control/src/qemii/fem/FemAdapter.py | stfc-aeg/qemii-detector | train | 0 |
57e0c8cea5496712f21068a1f541a2f132dafed8 | [
"await super().setup()\nlimits = {}\nfor auth_method in self.auth_methods:\n limit = await RateLimitCentral.get(app_data=self.app_data, auth_method=auth_method, endpoint=self.endpoint)\n self.log(f'{auth_method.name}: {limit}')\n if limit and limit.remaining == 0:\n limits[auth_method] = limit\n ... | <|body_start_0|>
await super().setup()
limits = {}
for auth_method in self.auth_methods:
limit = await RateLimitCentral.get(app_data=self.app_data, auth_method=auth_method, endpoint=self.endpoint)
self.log(f'{auth_method.name}: {limit}')
if limit and limit.rem... | Base class for production queries. These are queries that should have their rate limits counted. | ProductionRequestQuery | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductionRequestQuery:
"""Base class for production queries. These are queries that should have their rate limits counted."""
async def setup(self):
"""Method called immediately before the query runs."""
<|body_0|>
async def finalise(self, response: httpx.Response):
... | stack_v2_sparse_classes_75kplus_train_067764 | 2,563 | permissive | [
{
"docstring": "Method called immediately before the query runs.",
"name": "setup",
"signature": "async def setup(self)"
},
{
"docstring": "Method called immediately after the query runs. Args: response: Response to query",
"name": "finalise",
"signature": "async def finalise(self, respo... | 2 | stack_v2_sparse_classes_30k_train_043403 | Implement the Python class `ProductionRequestQuery` described below.
Class description:
Base class for production queries. These are queries that should have their rate limits counted.
Method signatures and docstrings:
- async def setup(self): Method called immediately before the query runs.
- async def finalise(self... | Implement the Python class `ProductionRequestQuery` described below.
Class description:
Base class for production queries. These are queries that should have their rate limits counted.
Method signatures and docstrings:
- async def setup(self): Method called immediately before the query runs.
- async def finalise(self... | 387006356e10c0e1c9dad363cd927a67e3c48cde | <|skeleton|>
class ProductionRequestQuery:
"""Base class for production queries. These are queries that should have their rate limits counted."""
async def setup(self):
"""Method called immediately before the query runs."""
<|body_0|>
async def finalise(self, response: httpx.Response):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProductionRequestQuery:
"""Base class for production queries. These are queries that should have their rate limits counted."""
async def setup(self):
"""Method called immediately before the query runs."""
await super().setup()
limits = {}
for auth_method in self.auth_metho... | the_stack_v2_python_sparse | src/twicorder/queries/request/production.py | thimic/twicorder-search | train | 2 |
f7896a65c276f0bccef9d2e2fec950506b6fc2ea | [
"super().__init__()\nself._init_irreps(irreps_in=irreps_in, required_irreps_in=[AtomicDataDict.EDGE_EMBEDDING_KEY, AtomicDataDict.EDGE_ATTRS_KEY, AtomicDataDict.NODE_FEATURES_KEY, AtomicDataDict.NODE_ATTRS_KEY], my_irreps_in={AtomicDataDict.EDGE_EMBEDDING_KEY: o3.Irreps([(irreps_in[AtomicDataDict.EDGE_EMBEDDING_KEY... | <|body_start_0|>
super().__init__()
self._init_irreps(irreps_in=irreps_in, required_irreps_in=[AtomicDataDict.EDGE_EMBEDDING_KEY, AtomicDataDict.EDGE_ATTRS_KEY, AtomicDataDict.NODE_FEATURES_KEY, AtomicDataDict.NODE_ATTRS_KEY], my_irreps_in={AtomicDataDict.EDGE_EMBEDDING_KEY: o3.Irreps([(irreps_in[Atomic... | InteractionBlock | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InteractionBlock:
def __init__(self, irreps_in, irreps_out, invariant_layers=1, invariant_neurons=8, avg_num_neighbors=None, use_sc=False, nonlinearity_scalars: Dict[int, Callable]={'e': 'ssp'}) -> None:
"""InteractionBlock. :param irreps_node_attr: Nodes attribute irreps :param irreps_e... | stack_v2_sparse_classes_75kplus_train_067765 | 6,446 | permissive | [
{
"docstring": "InteractionBlock. :param irreps_node_attr: Nodes attribute irreps :param irreps_edge_attr: Edge attribute irreps :param irreps_out: Output irreps, in our case typically a single scalar :param radial_layers: Number of radial layers, default = 1 :param radial_neurons: Number of hidden neurons in r... | 2 | null | Implement the Python class `InteractionBlock` described below.
Class description:
Implement the InteractionBlock class.
Method signatures and docstrings:
- def __init__(self, irreps_in, irreps_out, invariant_layers=1, invariant_neurons=8, avg_num_neighbors=None, use_sc=False, nonlinearity_scalars: Dict[int, Callable]... | Implement the Python class `InteractionBlock` described below.
Class description:
Implement the InteractionBlock class.
Method signatures and docstrings:
- def __init__(self, irreps_in, irreps_out, invariant_layers=1, invariant_neurons=8, avg_num_neighbors=None, use_sc=False, nonlinearity_scalars: Dict[int, Callable]... | ae8e3c3689b13e8963c4dddded07235f0d16c7dc | <|skeleton|>
class InteractionBlock:
def __init__(self, irreps_in, irreps_out, invariant_layers=1, invariant_neurons=8, avg_num_neighbors=None, use_sc=False, nonlinearity_scalars: Dict[int, Callable]={'e': 'ssp'}) -> None:
"""InteractionBlock. :param irreps_node_attr: Nodes attribute irreps :param irreps_e... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InteractionBlock:
def __init__(self, irreps_in, irreps_out, invariant_layers=1, invariant_neurons=8, avg_num_neighbors=None, use_sc=False, nonlinearity_scalars: Dict[int, Callable]={'e': 'ssp'}) -> None:
"""InteractionBlock. :param irreps_node_attr: Nodes attribute irreps :param irreps_edge_attr: Edge... | the_stack_v2_python_sparse | nequip/nn/_interaction_block.py | shuaijiang-ustc/nequip | train | 0 | |
7e91913068ca03a16b79fe00df1382b9c87c1836 | [
"if value < 0:\n raise serializers.ValidationError('A tag rate value must be nonnegative.')\nreturn str(value)",
"usage_start = usage.get('usage_start')\nusage_end = usage.get('usage_end')\nif usage_start and usage_start < 0:\n raise serializers.ValidationError('A tag rate usage_start must be positive.')\ni... | <|body_start_0|>
if value < 0:
raise serializers.ValidationError('A tag rate value must be nonnegative.')
return str(value)
<|end_body_0|>
<|body_start_1|>
usage_start = usage.get('usage_start')
usage_end = usage.get('usage_end')
if usage_start and usage_start < 0:
... | Serializer for the Tag Values. | TagRateValueSerializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TagRateValueSerializer:
"""Serializer for the Tag Values."""
def validate_value(self, value):
"""Check that value is a positive value."""
<|body_0|>
def validate_usage(self, usage):
"""Check that usage_start is a positive value."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus_train_067766 | 26,058 | permissive | [
{
"docstring": "Check that value is a positive value.",
"name": "validate_value",
"signature": "def validate_value(self, value)"
},
{
"docstring": "Check that usage_start is a positive value.",
"name": "validate_usage",
"signature": "def validate_usage(self, usage)"
}
] | 2 | null | Implement the Python class `TagRateValueSerializer` described below.
Class description:
Serializer for the Tag Values.
Method signatures and docstrings:
- def validate_value(self, value): Check that value is a positive value.
- def validate_usage(self, usage): Check that usage_start is a positive value. | Implement the Python class `TagRateValueSerializer` described below.
Class description:
Serializer for the Tag Values.
Method signatures and docstrings:
- def validate_value(self, value): Check that value is a positive value.
- def validate_usage(self, usage): Check that usage_start is a positive value.
<|skeleton|>... | 0416e5216eb1ec4b41c8dd4999adde218b1ab2e1 | <|skeleton|>
class TagRateValueSerializer:
"""Serializer for the Tag Values."""
def validate_value(self, value):
"""Check that value is a positive value."""
<|body_0|>
def validate_usage(self, usage):
"""Check that usage_start is a positive value."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TagRateValueSerializer:
"""Serializer for the Tag Values."""
def validate_value(self, value):
"""Check that value is a positive value."""
if value < 0:
raise serializers.ValidationError('A tag rate value must be nonnegative.')
return str(value)
def validate_usage(... | the_stack_v2_python_sparse | koku/cost_models/serializers.py | project-koku/koku | train | 225 |
6d83e3273401ebbafb25ea5d9be6f4f43936e9f6 | [
"super(BaselineDNN, self).__init__()\n...\n...\n...\n...\n...",
"embeddings = ...\nrepresentations = ...\nrepresentations = ...\nlogits = ...\nreturn logits"
] | <|body_start_0|>
super(BaselineDNN, self).__init__()
...
...
...
...
...
<|end_body_0|>
<|body_start_1|>
embeddings = ...
representations = ...
representations = ...
logits = ...
return logits
<|end_body_1|>
| 1. We embed the words in the input texts using an embedding layer 2. We compute the min, mean, max of the word embeddings in each sample and use it as the feature representation of the sequence. 4. We project with a linear layer the representation to the number of classes.ngth) | BaselineDNN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaselineDNN:
"""1. We embed the words in the input texts using an embedding layer 2. We compute the min, mean, max of the word embeddings in each sample and use it as the feature representation of the sequence. 4. We project with a linear layer the representation to the number of classes.ngth)"""... | stack_v2_sparse_classes_75kplus_train_067767 | 1,913 | permissive | [
{
"docstring": "Args: output_size(int): the number of classes embeddings(bool): the 2D matrix with the pretrained embeddings trainable_emb(bool): train (finetune) or freeze the weights the embedding layer",
"name": "__init__",
"signature": "def __init__(self, output_size, embeddings, trainable_emb=False... | 2 | stack_v2_sparse_classes_30k_train_024819 | Implement the Python class `BaselineDNN` described below.
Class description:
1. We embed the words in the input texts using an embedding layer 2. We compute the min, mean, max of the word embeddings in each sample and use it as the feature representation of the sequence. 4. We project with a linear layer the represent... | Implement the Python class `BaselineDNN` described below.
Class description:
1. We embed the words in the input texts using an embedding layer 2. We compute the min, mean, max of the word embeddings in each sample and use it as the feature representation of the sequence. 4. We project with a linear layer the represent... | 37b06ac0bff1e380335912d9b442f884aeb3476d | <|skeleton|>
class BaselineDNN:
"""1. We embed the words in the input texts using an embedding layer 2. We compute the min, mean, max of the word embeddings in each sample and use it as the feature representation of the sequence. 4. We project with a linear layer the representation to the number of classes.ngth)"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaselineDNN:
"""1. We embed the words in the input texts using an embedding layer 2. We compute the min, mean, max of the word embeddings in each sample and use it as the feature representation of the sequence. 4. We project with a linear layer the representation to the number of classes.ngth)"""
def __i... | the_stack_v2_python_sparse | lab3/models.py | DidoStoikou/slp-labs | train | 0 |
709b7a281bac1f3d1f7541e5bddaa9a7e7cf4786 | [
"super(DeepNieFineCoattention, self).__init__()\nwith self.init_scope():\n self.energy_layer = links.Bilinear(hidden_dim, hidden_dim, 1)\n self.attention_layer_1 = GraphLinear(head, 1, nobias=True)\n self.attention_layer_2 = GraphLinear(head, 1, nobias=True)\n self.prev_lt_layer_1 = GraphLinear(hidden_d... | <|body_start_0|>
super(DeepNieFineCoattention, self).__init__()
with self.init_scope():
self.energy_layer = links.Bilinear(hidden_dim, hidden_dim, 1)
self.attention_layer_1 = GraphLinear(head, 1, nobias=True)
self.attention_layer_2 = GraphLinear(head, 1, nobias=True)
... | TODO | DeepNieFineCoattention | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeepNieFineCoattention:
"""TODO"""
def __init__(self, hidden_dim, out_dim, head, activation=functions.identity):
""":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism"""
... | stack_v2_sparse_classes_75kplus_train_067768 | 25,561 | permissive | [
{
"docstring": ":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism",
"name": "__init__",
"signature": "def __init__(self, hidden_dim, out_dim, head, activation=functions.identity)"
},
{
"do... | 3 | stack_v2_sparse_classes_30k_train_044767 | Implement the Python class `DeepNieFineCoattention` described below.
Class description:
TODO
Method signatures and docstrings:
- def __init__(self, hidden_dim, out_dim, head, activation=functions.identity): :param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :para... | Implement the Python class `DeepNieFineCoattention` described below.
Class description:
TODO
Method signatures and docstrings:
- def __init__(self, hidden_dim, out_dim, head, activation=functions.identity): :param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :para... | 21b64a3c8cc9bc33718ae09c65aa917e575132eb | <|skeleton|>
class DeepNieFineCoattention:
"""TODO"""
def __init__(self, hidden_dim, out_dim, head, activation=functions.identity):
""":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeepNieFineCoattention:
"""TODO"""
def __init__(self, hidden_dim, out_dim, head, activation=functions.identity):
""":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism"""
super(DeepNi... | the_stack_v2_python_sparse | models/coattention/nie_coattention.py | Minys233/GCN-BMP | train | 1 |
2ca896048ca7bd589f7b9e2c6683912333343845 | [
"row = g.db.query(Machine).get(machine_id)\nif not row:\n log.warning('Requested a non-existant machine: %s', machine_id)\n abort(http_client.NOT_FOUND, description='Machine not found')\nrecord = row.as_dict()\nrecord['url'] = url_for('machines.entry', machine_id=machine_id, _external=True)\nrecord['servers_u... | <|body_start_0|>
row = g.db.query(Machine).get(machine_id)
if not row:
log.warning('Requested a non-existant machine: %s', machine_id)
abort(http_client.NOT_FOUND, description='Machine not found')
record = row.as_dict()
record['url'] = url_for('machines.entry', ma... | Information about specific machines | MachineAPI | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MachineAPI:
"""Information about specific machines"""
def get(self, machine_id):
"""Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json"""
<|body_0|>
def put(self, args, machine_id):
"""Update machine Heartbe... | stack_v2_sparse_classes_75kplus_train_067769 | 10,491 | permissive | [
{
"docstring": "Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json",
"name": "get",
"signature": "def get(self, machine_id)"
},
{
"docstring": "Update machine Heartbeat and update the machine reference",
"name": "put",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_008965 | Implement the Python class `MachineAPI` described below.
Class description:
Information about specific machines
Method signatures and docstrings:
- def get(self, machine_id): Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json
- def put(self, args, machine_id): U... | Implement the Python class `MachineAPI` described below.
Class description:
Information about specific machines
Method signatures and docstrings:
- def get(self, machine_id): Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json
- def put(self, args, machine_id): U... | 2771bb46db7fd331448f9db3cfb257fab7f89bcc | <|skeleton|>
class MachineAPI:
"""Information about specific machines"""
def get(self, machine_id):
"""Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json"""
<|body_0|>
def put(self, args, machine_id):
"""Update machine Heartbe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MachineAPI:
"""Information about specific machines"""
def get(self, machine_id):
"""Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json"""
row = g.db.query(Machine).get(machine_id)
if not row:
log.warning('Requeste... | the_stack_v2_python_sparse | driftbase/api/machines.py | directivegames/drift-base | train | 1 |
603f0e245d347a0b66bd21a8d55c99d56806996b | [
"self.request = request\nself.corrected_query = corrected_query\nself.qid = qid\nself.engine_query = engine_query\nself.total_results = total_results\nself.total_pages = total_pages\nself.more_search_results_url = more_search_results_url\nself.search_results_map = search_results_map\nself.item = item\nself.search_b... | <|body_start_0|>
self.request = request
self.corrected_query = corrected_query
self.qid = qid
self.engine_query = engine_query
self.total_results = total_results
self.total_pages = total_pages
self.more_search_results_url = more_search_results_url
self.sea... | Implementation of the 'Items' model. TODO: type model description here. Attributes: request (Request): TODO: type description here. corrected_query (CorrectedQuery): TODO: type description here. qid (string): TODO: type description here. engine_query (string): TODO: type description here. total_results (int): TODO: typ... | Items | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Items:
"""Implementation of the 'Items' model. TODO: type model description here. Attributes: request (Request): TODO: type description here. corrected_query (CorrectedQuery): TODO: type description here. qid (string): TODO: type description here. engine_query (string): TODO: type description her... | stack_v2_sparse_classes_75kplus_train_067770 | 4,653 | permissive | [
{
"docstring": "Constructor for the Items class",
"name": "__init__",
"signature": "def __init__(self, request=None, corrected_query=None, qid=None, engine_query=None, total_results=None, total_pages=None, more_search_results_url=None, search_results_map=None, item=None, search_bin_sets=None)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_026379 | Implement the Python class `Items` described below.
Class description:
Implementation of the 'Items' model. TODO: type model description here. Attributes: request (Request): TODO: type description here. corrected_query (CorrectedQuery): TODO: type description here. qid (string): TODO: type description here. engine_que... | Implement the Python class `Items` described below.
Class description:
Implementation of the 'Items' model. TODO: type model description here. Attributes: request (Request): TODO: type description here. corrected_query (CorrectedQuery): TODO: type description here. qid (string): TODO: type description here. engine_que... | 26ea1019115a1de3b1b37a4b830525e164ac55ce | <|skeleton|>
class Items:
"""Implementation of the 'Items' model. TODO: type model description here. Attributes: request (Request): TODO: type description here. corrected_query (CorrectedQuery): TODO: type description here. qid (string): TODO: type description here. engine_query (string): TODO: type description her... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Items:
"""Implementation of the 'Items' model. TODO: type model description here. Attributes: request (Request): TODO: type description here. corrected_query (CorrectedQuery): TODO: type description here. qid (string): TODO: type description here. engine_query (string): TODO: type description here. total_resu... | the_stack_v2_python_sparse | awsecommerceservice/models/items.py | nidaizamir/Test-PY | train | 0 |
45b9035f0c336e70acd4e0636e2f7f25b41f34b3 | [
"if not citations:\n return 0\ncitations.sort()\nn = len(citations)\nleft, right = (0, n - 1)\nwhile left <= right:\n pivot = left + (right - left) // 2\n if citations[pivot] == n - pivot:\n return n - pivot\n elif citations[pivot] > n - pivot:\n right = pivot - 1\n else:\n left ... | <|body_start_0|>
if not citations:
return 0
citations.sort()
n = len(citations)
left, right = (0, n - 1)
while left <= right:
pivot = left + (right - left) // 2
if citations[pivot] == n - pivot:
return n - pivot
elif... | Array | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Array:
def find_h_index(self, citations: List[int]) -> int:
"""Approach: Sorting + Binary Search Time Complexity: O(N log N) Space Complexity: O(1) :param citations: :return:"""
<|body_0|>
def h_index_optimized(self, citations: List[int]) -> int:
"""Approach: Counter... | stack_v2_sparse_classes_75kplus_train_067771 | 1,590 | no_license | [
{
"docstring": "Approach: Sorting + Binary Search Time Complexity: O(N log N) Space Complexity: O(1) :param citations: :return:",
"name": "find_h_index",
"signature": "def find_h_index(self, citations: List[int]) -> int"
},
{
"docstring": "Approach: Counter Time Complexity: O(N) Space Complexity... | 2 | stack_v2_sparse_classes_30k_train_026263 | Implement the Python class `Array` described below.
Class description:
Implement the Array class.
Method signatures and docstrings:
- def find_h_index(self, citations: List[int]) -> int: Approach: Sorting + Binary Search Time Complexity: O(N log N) Space Complexity: O(1) :param citations: :return:
- def h_index_optim... | Implement the Python class `Array` described below.
Class description:
Implement the Array class.
Method signatures and docstrings:
- def find_h_index(self, citations: List[int]) -> int: Approach: Sorting + Binary Search Time Complexity: O(N log N) Space Complexity: O(1) :param citations: :return:
- def h_index_optim... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Array:
def find_h_index(self, citations: List[int]) -> int:
"""Approach: Sorting + Binary Search Time Complexity: O(N log N) Space Complexity: O(1) :param citations: :return:"""
<|body_0|>
def h_index_optimized(self, citations: List[int]) -> int:
"""Approach: Counter... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Array:
def find_h_index(self, citations: List[int]) -> int:
"""Approach: Sorting + Binary Search Time Complexity: O(N log N) Space Complexity: O(1) :param citations: :return:"""
if not citations:
return 0
citations.sort()
n = len(citations)
left, right = (0,... | the_stack_v2_python_sparse | goldman_sachs/h_index.py | Shiv2157k/leet_code | train | 1 | |
3ca9ed498b8c4ee00062889e80d79ef68b77e7c4 | [
"for key, func in _default_parameters.iteritems():\n ids = not force and self.search(cr, SUPERUSER_ID, [('key', '=', key)])\n if not ids:\n value, groups = func()\n self.set_param(cr, SUPERUSER_ID, key, value, groups=groups)",
"ids = self.search(cr, uid, [('key', '=', key)], context=context)\n... | <|body_start_0|>
for key, func in _default_parameters.iteritems():
ids = not force and self.search(cr, SUPERUSER_ID, [('key', '=', key)])
if not ids:
value, groups = func()
self.set_param(cr, SUPERUSER_ID, key, value, groups=groups)
<|end_body_0|>
<|body_... | Per-database storage of configuration key-value pairs. | ir_config_parameter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ir_config_parameter:
"""Per-database storage of configuration key-value pairs."""
def init(self, cr, force=False):
"""Initializes the parameters listed in _default_parameters. It overrides existing parameters if force is ``True``."""
<|body_0|>
def get_param(self, cr, ui... | stack_v2_sparse_classes_75kplus_train_067772 | 4,580 | no_license | [
{
"docstring": "Initializes the parameters listed in _default_parameters. It overrides existing parameters if force is ``True``.",
"name": "init",
"signature": "def init(self, cr, force=False)"
},
{
"docstring": "Retrieve the value for a given key. :param string key: The key of the parameter val... | 3 | stack_v2_sparse_classes_30k_train_025612 | Implement the Python class `ir_config_parameter` described below.
Class description:
Per-database storage of configuration key-value pairs.
Method signatures and docstrings:
- def init(self, cr, force=False): Initializes the parameters listed in _default_parameters. It overrides existing parameters if force is ``True... | Implement the Python class `ir_config_parameter` described below.
Class description:
Per-database storage of configuration key-value pairs.
Method signatures and docstrings:
- def init(self, cr, force=False): Initializes the parameters listed in _default_parameters. It overrides existing parameters if force is ``True... | d8a531ae9ade5f3e1f49c7d1b21583fbe1b8c09e | <|skeleton|>
class ir_config_parameter:
"""Per-database storage of configuration key-value pairs."""
def init(self, cr, force=False):
"""Initializes the parameters listed in _default_parameters. It overrides existing parameters if force is ``True``."""
<|body_0|>
def get_param(self, cr, ui... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ir_config_parameter:
"""Per-database storage of configuration key-value pairs."""
def init(self, cr, force=False):
"""Initializes the parameters listed in _default_parameters. It overrides existing parameters if force is ``True``."""
for key, func in _default_parameters.iteritems():
... | the_stack_v2_python_sparse | odoo/openerp/addons/base/ir/ir_config_parameter.py | ihyf/raspberry_pi | train | 1 |
370282cfe5923af9b8812e4f7ba3477acb7a7766 | [
"name_parts = value.split('-')\nfor index in range(len(name_parts)):\n name_part = name_parts[index]\n if len(name_part) < 4:\n name_part = name_part.upper()\n else:\n name_part = name_part.capitalize()\n name_parts[index] = name_part\nname = ' '.join(name_parts)\nself = object.__new__(cls... | <|body_start_0|>
name_parts = value.split('-')
for index in range(len(name_parts)):
name_part = name_parts[index]
if len(name_part) < 4:
name_part = name_part.upper()
else:
name_part = name_part.capitalize()
name_parts[index... | Represents Discord's voice regions. Attributes ---------- custom : `bool` Whether the voice region is custom (used for events, etc.). deprecated : `bool` Whether the voice region is deprecated. value : `str` The unique identifier of the voice region. name : `str` The name of the voice region. vip : `bool` Whether the v... | VoiceRegion | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VoiceRegion:
"""Represents Discord's voice regions. Attributes ---------- custom : `bool` Whether the voice region is custom (used for events, etc.). deprecated : `bool` Whether the voice region is deprecated. value : `str` The unique identifier of the voice region. name : `str` The name of the v... | stack_v2_sparse_classes_75kplus_train_067773 | 15,278 | permissive | [
{
"docstring": "Creates a voice region from the given id and stores it at class's `.INSTANCES`. Called by `.get` when no voice region was found with the given id. Parameters ---------- value : `str` The identifier of the voice region. Returns ------- self : ``VoiceRegion``",
"name": "_from_value",
"sign... | 3 | stack_v2_sparse_classes_30k_train_045064 | Implement the Python class `VoiceRegion` described below.
Class description:
Represents Discord's voice regions. Attributes ---------- custom : `bool` Whether the voice region is custom (used for events, etc.). deprecated : `bool` Whether the voice region is deprecated. value : `str` The unique identifier of the voice... | Implement the Python class `VoiceRegion` described below.
Class description:
Represents Discord's voice regions. Attributes ---------- custom : `bool` Whether the voice region is custom (used for events, etc.). deprecated : `bool` Whether the voice region is deprecated. value : `str` The unique identifier of the voice... | 53f24fdb38459dc5a4fd04f11bdbfee8295b76a4 | <|skeleton|>
class VoiceRegion:
"""Represents Discord's voice regions. Attributes ---------- custom : `bool` Whether the voice region is custom (used for events, etc.). deprecated : `bool` Whether the voice region is deprecated. value : `str` The unique identifier of the voice region. name : `str` The name of the v... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VoiceRegion:
"""Represents Discord's voice regions. Attributes ---------- custom : `bool` Whether the voice region is custom (used for events, etc.). deprecated : `bool` Whether the voice region is deprecated. value : `str` The unique identifier of the voice region. name : `str` The name of the voice region. ... | the_stack_v2_python_sparse | hata/discord/channel/channel_metadata/preinstanced.py | HuyaneMatsu/hata | train | 3 |
3b3ee9358282c726bcfc0e91582a55c1bd53cfab | [
"search = self\nif document_pid:\n search = search.filter('term', document_pid=document_pid)\nelse:\n raise MissingRequiredParameterError(description='document_pid is required')\nif filter_states:\n search = search.filter('terms', state=filter_states)\nelif exclude_states:\n search = search.exclude('ter... | <|body_start_0|>
search = self
if document_pid:
search = search.filter('term', document_pid=document_pid)
else:
raise MissingRequiredParameterError(description='document_pid is required')
if filter_states:
search = search.filter('terms', state=filter_s... | RecordsSearch for requests. | DocumentRequestSearch | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DocumentRequestSearch:
"""RecordsSearch for requests."""
def search_by_document_pid(self, document_pid=None, filter_states=None, exclude_states=None):
"""Retrieve requests based on the given document pid."""
<|body_0|>
def search_by_patron_pid(self, patron_pid=None):
... | stack_v2_sparse_classes_75kplus_train_067774 | 1,495 | permissive | [
{
"docstring": "Retrieve requests based on the given document pid.",
"name": "search_by_document_pid",
"signature": "def search_by_document_pid(self, document_pid=None, filter_states=None, exclude_states=None)"
},
{
"docstring": "Search by patron pid.",
"name": "search_by_patron_pid",
"s... | 2 | stack_v2_sparse_classes_30k_val_000556 | Implement the Python class `DocumentRequestSearch` described below.
Class description:
RecordsSearch for requests.
Method signatures and docstrings:
- def search_by_document_pid(self, document_pid=None, filter_states=None, exclude_states=None): Retrieve requests based on the given document pid.
- def search_by_patron... | Implement the Python class `DocumentRequestSearch` described below.
Class description:
RecordsSearch for requests.
Method signatures and docstrings:
- def search_by_document_pid(self, document_pid=None, filter_states=None, exclude_states=None): Retrieve requests based on the given document pid.
- def search_by_patron... | 1c36526e85510100c5f64059518d1b716d87ac10 | <|skeleton|>
class DocumentRequestSearch:
"""RecordsSearch for requests."""
def search_by_document_pid(self, document_pid=None, filter_states=None, exclude_states=None):
"""Retrieve requests based on the given document pid."""
<|body_0|>
def search_by_patron_pid(self, patron_pid=None):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DocumentRequestSearch:
"""RecordsSearch for requests."""
def search_by_document_pid(self, document_pid=None, filter_states=None, exclude_states=None):
"""Retrieve requests based on the given document pid."""
search = self
if document_pid:
search = search.filter('term',... | the_stack_v2_python_sparse | invenio_app_ils/document_requests/search.py | inveniosoftware/invenio-app-ils | train | 64 |
82016bd00b709c43963faa5ce50b353dc0649541 | [
"d = {}\nn = len(nums)\nif k == 10000 and t == 0:\n return False\nfor i in range(n):\n ns = {k for k in d.keys() if abs(nums[i] - k) <= t}\n for j in ns:\n if i - d[j] <= k:\n return True\n d[nums[i]] = i\nreturn False",
"n = len(nums)\nnums = sorted([(nums[i], i) for i in range(n)],... | <|body_start_0|>
d = {}
n = len(nums)
if k == 10000 and t == 0:
return False
for i in range(n):
ns = {k for k in d.keys() if abs(nums[i] - k) <= t}
for j in ns:
if i - d[j] <= k:
return True
d[nums[i]] = ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate(self, nums, k, t):
"""字典键:nums[i] 值:nums[i]最近的索引 时间复杂度O(n^2) 40/41 遍历数组,找到字典中所有的与nums[i]差的绝对值不大于t的值，然后遍历一遍看值与i的绝对值是否<=k :type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate2(s... | stack_v2_sparse_classes_75kplus_train_067775 | 2,528 | no_license | [
{
"docstring": "字典键:nums[i] 值:nums[i]最近的索引 时间复杂度O(n^2) 40/41 遍历数组,找到字典中所有的与nums[i]差的绝对值不大于t的值，然后遍历一遍看值与i的绝对值是否<=k :type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "containsNearbyAlmostDuplicate",
"signature": "def containsNearbyAlmostDuplicate(self, nums, k, t)"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_train_007157 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate(self, nums, k, t): 字典键:nums[i] 值:nums[i]最近的索引 时间复杂度O(n^2) 40/41 遍历数组,找到字典中所有的与nums[i]差的绝对值不大于t的值，然后遍历一遍看值与i的绝对值是否<=k :type nums: List[int] :type... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate(self, nums, k, t): 字典键:nums[i] 值:nums[i]最近的索引 时间复杂度O(n^2) 40/41 遍历数组,找到字典中所有的与nums[i]差的绝对值不大于t的值，然后遍历一遍看值与i的绝对值是否<=k :type nums: List[int] :type... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate(self, nums, k, t):
"""字典键:nums[i] 值:nums[i]最近的索引 时间复杂度O(n^2) 40/41 遍历数组,找到字典中所有的与nums[i]差的绝对值不大于t的值，然后遍历一遍看值与i的绝对值是否<=k :type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate2(s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def containsNearbyAlmostDuplicate(self, nums, k, t):
"""字典键:nums[i] 值:nums[i]最近的索引 时间复杂度O(n^2) 40/41 遍历数组,找到字典中所有的与nums[i]差的绝对值不大于t的值，然后遍历一遍看值与i的绝对值是否<=k :type nums: List[int] :type k: int :type t: int :rtype: bool"""
d = {}
n = len(nums)
if k == 10000 and t == 0:
... | the_stack_v2_python_sparse | 220_存在重复元素 III.py | lovehhf/LeetCode | train | 0 | |
646fccdcac6912a3e58dd1f39eee9f75163fcba6 | [
"super(ConvBPDNMask, self).__init__(D, S, lmbda, opt, dimK=dimK, dimN=dimN)\nif W is None:\n W = np.array([1.0], dtype=self.dtype)\nself.W = np.asarray(W.reshape(cr.mskWshape(W, self.cri)), dtype=self.dtype)\nself.WRy = sl.pyfftw_empty_aligned(self.S.shape, dtype=self.dtype)\nself.Ryf = sl.pyfftw_rfftn_empty_ali... | <|body_start_0|>
super(ConvBPDNMask, self).__init__(D, S, lmbda, opt, dimK=dimK, dimN=dimN)
if W is None:
W = np.array([1.0], dtype=self.dtype)
self.W = np.asarray(W.reshape(cr.mskWshape(W, self.cri)), dtype=self.dtype)
self.WRy = sl.pyfftw_empty_aligned(self.S.shape, dtype=s... | FISTA algorithm for Convolutional BPDN with a spatial mask. | .. inheritance-diagram:: ConvBPDNMask :parts: 2 | Solve the optimisation problem .. math:: \\mathrm{argmin}_\\mathbf{x} \\; (1/2) \\left\\| W \\left(\\sum_m \\mathbf{d}_m * \\mathbf{x}_m - \\mathbf{s}\\right) \\right\\|_2^2 + \\lambda \\sum_m \\| \\mathbf{x}... | ConvBPDNMask | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvBPDNMask:
"""FISTA algorithm for Convolutional BPDN with a spatial mask. | .. inheritance-diagram:: ConvBPDNMask :parts: 2 | Solve the optimisation problem .. math:: \\mathrm{argmin}_\\mathbf{x} \\; (1/2) \\left\\| W \\left(\\sum_m \\mathbf{d}_m * \\mathbf{x}_m - \\mathbf{s}\\right) \\right\\... | stack_v2_sparse_classes_75kplus_train_067776 | 14,485 | permissive | [
{
"docstring": "| Parameters ---------- D : array_like Dictionary matrix S : array_like Signal vector or matrix lmbda : float Regularisation parameter W : array_like Mask array. The array shape must be such that the array is compatible for multiplication with input array S (see :func:`.cnvrep.mskWshape` for mor... | 4 | null | Implement the Python class `ConvBPDNMask` described below.
Class description:
FISTA algorithm for Convolutional BPDN with a spatial mask. | .. inheritance-diagram:: ConvBPDNMask :parts: 2 | Solve the optimisation problem .. math:: \\mathrm{argmin}_\\mathbf{x} \\; (1/2) \\left\\| W \\left(\\sum_m \\mathbf{d}_m * \\math... | Implement the Python class `ConvBPDNMask` described below.
Class description:
FISTA algorithm for Convolutional BPDN with a spatial mask. | .. inheritance-diagram:: ConvBPDNMask :parts: 2 | Solve the optimisation problem .. math:: \\mathrm{argmin}_\\mathbf{x} \\; (1/2) \\left\\| W \\left(\\sum_m \\mathbf{d}_m * \\math... | 5a64fbe456f3a117275c45ee1f10c60d6e133915 | <|skeleton|>
class ConvBPDNMask:
"""FISTA algorithm for Convolutional BPDN with a spatial mask. | .. inheritance-diagram:: ConvBPDNMask :parts: 2 | Solve the optimisation problem .. math:: \\mathrm{argmin}_\\mathbf{x} \\; (1/2) \\left\\| W \\left(\\sum_m \\mathbf{d}_m * \\mathbf{x}_m - \\mathbf{s}\\right) \\right\\... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConvBPDNMask:
"""FISTA algorithm for Convolutional BPDN with a spatial mask. | .. inheritance-diagram:: ConvBPDNMask :parts: 2 | Solve the optimisation problem .. math:: \\mathrm{argmin}_\\mathbf{x} \\; (1/2) \\left\\| W \\left(\\sum_m \\mathbf{d}_m * \\mathbf{x}_m - \\mathbf{s}\\right) \\right\\|_2^2 + \\lam... | the_stack_v2_python_sparse | benchmarks/other/sporco/fista/cbpdn.py | tomMoral/dicodile | train | 17 |
348afe50ba07b9f802e44f46d330c6f51a4e6e62 | [
"try:\n return neuron.code(tranges=[self.trange], **kwargs)\nexcept AttributeError:\n return self.r.n[neuron].code(tranges=[self.trange], **kwargs)",
"if nids == None:\n nids = self.r.get_nids()\ncodeso = self.r.codes(nids=nids, experiments=[self], **kwargs)\ncodeso.calc()\nreturn codeso",
"code1 = sel... | <|body_start_0|>
try:
return neuron.code(tranges=[self.trange], **kwargs)
except AttributeError:
return self.r.n[neuron].code(tranges=[self.trange], **kwargs)
<|end_body_0|>
<|body_start_1|>
if nids == None:
nids = self.r.get_nids()
codeso = self.r.co... | Mix-in class that defines the spike code related experiment methods | ExperimentCode | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExperimentCode:
"""Mix-in class that defines the spike code related experiment methods"""
def code(self, neuron=None, **kwargs):
"""Returns a Neuron.Code object, constraining it to the time range of this experiment. Takes either a Neuron object or just a Neuron id"""
<|body_0... | stack_v2_sparse_classes_75kplus_train_067777 | 45,008 | permissive | [
{
"docstring": "Returns a Neuron.Code object, constraining it to the time range of this experiment. Takes either a Neuron object or just a Neuron id",
"name": "code",
"signature": "def code(self, neuron=None, **kwargs)"
},
{
"docstring": "Returns a 2D array where each row is a neuron code constr... | 3 | stack_v2_sparse_classes_30k_train_031114 | Implement the Python class `ExperimentCode` described below.
Class description:
Mix-in class that defines the spike code related experiment methods
Method signatures and docstrings:
- def code(self, neuron=None, **kwargs): Returns a Neuron.Code object, constraining it to the time range of this experiment. Takes eithe... | Implement the Python class `ExperimentCode` described below.
Class description:
Mix-in class that defines the spike code related experiment methods
Method signatures and docstrings:
- def code(self, neuron=None, **kwargs): Returns a Neuron.Code object, constraining it to the time range of this experiment. Takes eithe... | ab576a41ec00e3c126bca45c2504dd61bd1cda56 | <|skeleton|>
class ExperimentCode:
"""Mix-in class that defines the spike code related experiment methods"""
def code(self, neuron=None, **kwargs):
"""Returns a Neuron.Code object, constraining it to the time range of this experiment. Takes either a Neuron object or just a Neuron id"""
<|body_0... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExperimentCode:
"""Mix-in class that defines the spike code related experiment methods"""
def code(self, neuron=None, **kwargs):
"""Returns a Neuron.Code object, constraining it to the time range of this experiment. Takes either a Neuron object or just a Neuron id"""
try:
retu... | the_stack_v2_python_sparse | neuropy/experiment.py | node2319/neuropy-1 | train | 0 |
6f1163042be5963a01e3399930368ccb3fed3fc7 | [
"return_map = {}\nfor key, value in boto_dict.items():\n return_map[key] = value.get('NumberValue', value.get('StringValue', None))\nreturn return_map",
"boto_map = {}\nfor key, value in parameters.items():\n if isinstance(value, numbers.Number):\n boto_map[key] = {'NumberValue': value}\n else:\n ... | <|body_start_0|>
return_map = {}
for key, value in boto_dict.items():
return_map[key] = value.get('NumberValue', value.get('StringValue', None))
return return_map
<|end_body_0|>
<|body_start_1|>
boto_map = {}
for key, value in parameters.items():
if isins... | A dictionary of TrialComponentParameterValues | TrialComponentParameters | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrialComponentParameters:
"""A dictionary of TrialComponentParameterValues"""
def from_boto(cls, boto_dict, **kwargs):
"""Converts a boto dict to a dictionary of TrialComponentParameterValues Args: boto_dict (dict): boto response dictionary. **kwargs: Arbitrary keyword arguments. Ret... | stack_v2_sparse_classes_75kplus_train_067778 | 7,894 | permissive | [
{
"docstring": "Converts a boto dict to a dictionary of TrialComponentParameterValues Args: boto_dict (dict): boto response dictionary. **kwargs: Arbitrary keyword arguments. Returns: dict: Dictionary of parameter values.",
"name": "from_boto",
"signature": "def from_boto(cls, boto_dict, **kwargs)"
},... | 2 | stack_v2_sparse_classes_30k_train_007512 | Implement the Python class `TrialComponentParameters` described below.
Class description:
A dictionary of TrialComponentParameterValues
Method signatures and docstrings:
- def from_boto(cls, boto_dict, **kwargs): Converts a boto dict to a dictionary of TrialComponentParameterValues Args: boto_dict (dict): boto respon... | Implement the Python class `TrialComponentParameters` described below.
Class description:
A dictionary of TrialComponentParameterValues
Method signatures and docstrings:
- def from_boto(cls, boto_dict, **kwargs): Converts a boto dict to a dictionary of TrialComponentParameterValues Args: boto_dict (dict): boto respon... | 8d5d7fd8ae1a917ed3e2b988d5e533bce244fd85 | <|skeleton|>
class TrialComponentParameters:
"""A dictionary of TrialComponentParameterValues"""
def from_boto(cls, boto_dict, **kwargs):
"""Converts a boto dict to a dictionary of TrialComponentParameterValues Args: boto_dict (dict): boto response dictionary. **kwargs: Arbitrary keyword arguments. Ret... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TrialComponentParameters:
"""A dictionary of TrialComponentParameterValues"""
def from_boto(cls, boto_dict, **kwargs):
"""Converts a boto dict to a dictionary of TrialComponentParameterValues Args: boto_dict (dict): boto response dictionary. **kwargs: Arbitrary keyword arguments. Returns: dict: D... | the_stack_v2_python_sparse | src/sagemaker/experiments/_api_types.py | aws/sagemaker-python-sdk | train | 2,050 |
b999c1898bc50136dc220fe1eb84a1ce78cc45fe | [
"data = {}\nfor key, value in request.GET.items():\n data[key] = value\nsignature = data.pop('sign', None)\nif alipay.verify(data, signature):\n order_num = data.get('out_trade_no', None)\n trade_no = data.get('trade_no', None)\n order_status = 'TRADE_FINISHED'\n order = Order.objects.filter(order_nu... | <|body_start_0|>
data = {}
for key, value in request.GET.items():
data[key] = value
signature = data.pop('sign', None)
if alipay.verify(data, signature):
order_num = data.get('out_trade_no', None)
trade_no = data.get('trade_no', None)
order... | PayView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PayView:
def get(request):
"""同步回调"""
<|body_0|>
def post(request):
"""异步回调"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
data = {}
for key, value in request.GET.items():
data[key] = value
signature = data.pop('sign', N... | stack_v2_sparse_classes_75kplus_train_067779 | 4,249 | no_license | [
{
"docstring": "同步回调",
"name": "get",
"signature": "def get(request)"
},
{
"docstring": "异步回调",
"name": "post",
"signature": "def post(request)"
}
] | 2 | null | Implement the Python class `PayView` described below.
Class description:
Implement the PayView class.
Method signatures and docstrings:
- def get(request): 同步回调
- def post(request): 异步回调 | Implement the Python class `PayView` described below.
Class description:
Implement the PayView class.
Method signatures and docstrings:
- def get(request): 同步回调
- def post(request): 异步回调
<|skeleton|>
class PayView:
def get(request):
"""同步回调"""
<|body_0|>
def post(request):
"""异步回调""... | da650450f86e0770e131ea0eb4b200fc952004ff | <|skeleton|>
class PayView:
def get(request):
"""同步回调"""
<|body_0|>
def post(request):
"""异步回调"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PayView:
def get(request):
"""同步回调"""
data = {}
for key, value in request.GET.items():
data[key] = value
signature = data.pop('sign', None)
if alipay.verify(data, signature):
order_num = data.get('out_trade_no', None)
trade_no = data.... | the_stack_v2_python_sparse | book_city/apps/trade/views.py | TingxieLi/YangBook | train | 0 | |
535ff6fd814744451aaa9d7517f5a18e1cdbb62b | [
"super(PointerAfterLogits, self).__init__(hidden_size, output_size, causal=causal, logits_per_slot=logits_per_slot, **kwargs)\nself.logits_embedding = logits_embedding\nself.logits_size = logits_size",
"[queries, values, queries_mask, values_mask, ids, permutation, absolute_positions, relative_positions, pointer_... | <|body_start_0|>
super(PointerAfterLogits, self).__init__(hidden_size, output_size, causal=causal, logits_per_slot=logits_per_slot, **kwargs)
self.logits_embedding = logits_embedding
self.logits_size = logits_size
<|end_body_0|>
<|body_start_1|>
[queries, values, queries_mask, values_ma... | PointerAfterLogits | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PointerAfterLogits:
def __init__(self, hidden_size, output_size, logits_size, logits_embedding, causal=True, logits_per_slot=1, **kwargs):
"""Creates a pointer network using the first operation in the self attention mechanism Arguments: hidden_size: int the number of hidden units in the ... | stack_v2_sparse_classes_75kplus_train_067780 | 6,900 | no_license | [
{
"docstring": "Creates a pointer network using the first operation in the self attention mechanism Arguments: hidden_size: int the number of hidden units in the network blocks used by this layer output_size: int the number of output units used by the network blocks used by this layer logits_size: int the numbe... | 3 | stack_v2_sparse_classes_30k_train_001059 | Implement the Python class `PointerAfterLogits` described below.
Class description:
Implement the PointerAfterLogits class.
Method signatures and docstrings:
- def __init__(self, hidden_size, output_size, logits_size, logits_embedding, causal=True, logits_per_slot=1, **kwargs): Creates a pointer network using the fir... | Implement the Python class `PointerAfterLogits` described below.
Class description:
Implement the PointerAfterLogits class.
Method signatures and docstrings:
- def __init__(self, hidden_size, output_size, logits_size, logits_embedding, causal=True, logits_per_slot=1, **kwargs): Creates a pointer network using the fir... | 14860f55a5fd073145e8e063027ecdfb31feecd4 | <|skeleton|>
class PointerAfterLogits:
def __init__(self, hidden_size, output_size, logits_size, logits_embedding, causal=True, logits_per_slot=1, **kwargs):
"""Creates a pointer network using the first operation in the self attention mechanism Arguments: hidden_size: int the number of hidden units in the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PointerAfterLogits:
def __init__(self, hidden_size, output_size, logits_size, logits_embedding, causal=True, logits_per_slot=1, **kwargs):
"""Creates a pointer network using the first operation in the self attention mechanism Arguments: hidden_size: int the number of hidden units in the network blocks... | the_stack_v2_python_sparse | voi/nn/variables/pointer_after_logits.py | anonymouscode115/autoregressive_inference | train | 0 | |
75674ea2539bb7d4187e18d42c38398275d9421c | [
"if authorization_header is None:\n return None\nif not isinstance(authorization_header, str):\n return None\nif not authorization_header.startswith('Basic '):\n return None\nelse:\n return authorization_header.replace('Basic ', '', 1)",
"if base64_authorization_header is None:\n return None\nif no... | <|body_start_0|>
if authorization_header is None:
return None
if not isinstance(authorization_header, str):
return None
if not authorization_header.startswith('Basic '):
return None
else:
return authorization_header.replace('Basic ', '', 1)... | Basic authentication class | BasicAuth | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasicAuth:
"""Basic authentication class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Extracts the base64 encoded authorization header"""
<|body_0|>
def decode_base64_authorization_header(self, base64_authorization_header: str) -... | stack_v2_sparse_classes_75kplus_train_067781 | 3,046 | no_license | [
{
"docstring": "Extracts the base64 encoded authorization header",
"name": "extract_base64_authorization_header",
"signature": "def extract_base64_authorization_header(self, authorization_header: str) -> str"
},
{
"docstring": "Decodes the base64 encoded authorization header",
"name": "decod... | 5 | stack_v2_sparse_classes_30k_train_048343 | Implement the Python class `BasicAuth` described below.
Class description:
Basic authentication class
Method signatures and docstrings:
- def extract_base64_authorization_header(self, authorization_header: str) -> str: Extracts the base64 encoded authorization header
- def decode_base64_authorization_header(self, bas... | Implement the Python class `BasicAuth` described below.
Class description:
Basic authentication class
Method signatures and docstrings:
- def extract_base64_authorization_header(self, authorization_header: str) -> str: Extracts the base64 encoded authorization header
- def decode_base64_authorization_header(self, bas... | 3a9bf33a51033aba492586773b30cd234bc0e80d | <|skeleton|>
class BasicAuth:
"""Basic authentication class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Extracts the base64 encoded authorization header"""
<|body_0|>
def decode_base64_authorization_header(self, base64_authorization_header: str) -... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BasicAuth:
"""Basic authentication class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Extracts the base64 encoded authorization header"""
if authorization_header is None:
return None
if not isinstance(authorization_header, str)... | the_stack_v2_python_sparse | 0x06-Basic_authentication/api/v1/auth/basic_auth.py | cort-robinson/holbertonschool-web_back_end | train | 0 |
d08a973a22b40cced952ff5b908fba8ca3f29caf | [
"self.operating_system = os\nself.template = template\nself.installer_template = installer_template\nself.system_profile = system_profile\nself.installer_cmdline = installation_options.get('linux-kargs-installer')\nself.target_cmdline = installation_options.get('linux-kargs-target')\nself.ubuntu20_legacy_installer ... | <|body_start_0|>
self.operating_system = os
self.template = template
self.installer_template = installer_template
self.system_profile = system_profile
self.installer_cmdline = installation_options.get('linux-kargs-installer')
self.target_cmdline = installation_options.get... | Data model for autoinstall machine | AutoinstallMachineModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutoinstallMachineModel:
"""Data model for autoinstall machine"""
def __init__(self, os: OperatingSystem, os_repos: 'list[OsRepository]', template: Template, installer_template: Template, custom_os_repos: 'list[OsRepository]', custom_package_repos: 'list[PackageRepository]', system_profile: ... | stack_v2_sparse_classes_75kplus_train_067782 | 23,282 | permissive | [
{
"docstring": "Create model from controller data",
"name": "__init__",
"signature": "def __init__(self, os: OperatingSystem, os_repos: 'list[OsRepository]', template: Template, installer_template: Template, custom_os_repos: 'list[OsRepository]', custom_package_repos: 'list[PackageRepository]', system_p... | 3 | stack_v2_sparse_classes_30k_train_038150 | Implement the Python class `AutoinstallMachineModel` described below.
Class description:
Data model for autoinstall machine
Method signatures and docstrings:
- def __init__(self, os: OperatingSystem, os_repos: 'list[OsRepository]', template: Template, installer_template: Template, custom_os_repos: 'list[OsRepository]... | Implement the Python class `AutoinstallMachineModel` described below.
Class description:
Data model for autoinstall machine
Method signatures and docstrings:
- def __init__(self, os: OperatingSystem, os_repos: 'list[OsRepository]', template: Template, installer_template: Template, custom_os_repos: 'list[OsRepository]... | 9c9040f6a173af5c495f5447889e9349fa56f234 | <|skeleton|>
class AutoinstallMachineModel:
"""Data model for autoinstall machine"""
def __init__(self, os: OperatingSystem, os_repos: 'list[OsRepository]', template: Template, installer_template: Template, custom_os_repos: 'list[OsRepository]', custom_package_repos: 'list[PackageRepository]', system_profile: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AutoinstallMachineModel:
"""Data model for autoinstall machine"""
def __init__(self, os: OperatingSystem, os_repos: 'list[OsRepository]', template: Template, installer_template: Template, custom_os_repos: 'list[OsRepository]', custom_package_repos: 'list[PackageRepository]', system_profile: SystemProfile... | the_stack_v2_python_sparse | tessia/server/state_machines/autoinstall/model.py | tessia-project/tessia | train | 10 |
678f7b003b243ded277e06c1997519b1a17f51f6 | [
"self._client = client\nself._sdk_key = sdk_key\nself._metadata = headers_from_metadata(sdk_metadata)\nself._telemetry_runtime_producer = telemetry_runtime_producer",
"start = get_current_epoch_time_ms()\ntry:\n response = self._client.get('auth', '/v2/auth', self._sdk_key, extra_headers=self._metadata)\n r... | <|body_start_0|>
self._client = client
self._sdk_key = sdk_key
self._metadata = headers_from_metadata(sdk_metadata)
self._telemetry_runtime_producer = telemetry_runtime_producer
<|end_body_0|>
<|body_start_1|>
start = get_current_epoch_time_ms()
try:
response... | Class that uses an httpClient to communicate with the SDK Auth Service API. | AuthAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthAPI:
"""Class that uses an httpClient to communicate with the SDK Auth Service API."""
def __init__(self, client, sdk_key, sdk_metadata, telemetry_runtime_producer):
"""Class constructor. :param client: HTTP Client responsble for issuing calls to the backend. :type client: HttpCl... | stack_v2_sparse_classes_75kplus_train_067783 | 2,430 | permissive | [
{
"docstring": "Class constructor. :param client: HTTP Client responsble for issuing calls to the backend. :type client: HttpClient :param sdk_key: User sdk key. :type sdk_key: string :param sdk_metadata: SDK version & machine name & IP. :type sdk_metadata: splitio.client.util.SdkMetadata",
"name": "__init_... | 2 | stack_v2_sparse_classes_30k_train_044944 | Implement the Python class `AuthAPI` described below.
Class description:
Class that uses an httpClient to communicate with the SDK Auth Service API.
Method signatures and docstrings:
- def __init__(self, client, sdk_key, sdk_metadata, telemetry_runtime_producer): Class constructor. :param client: HTTP Client responsb... | Implement the Python class `AuthAPI` described below.
Class description:
Class that uses an httpClient to communicate with the SDK Auth Service API.
Method signatures and docstrings:
- def __init__(self, client, sdk_key, sdk_metadata, telemetry_runtime_producer): Class constructor. :param client: HTTP Client responsb... | 523d2395d39d189772b1db1c944db0cf4ca5769a | <|skeleton|>
class AuthAPI:
"""Class that uses an httpClient to communicate with the SDK Auth Service API."""
def __init__(self, client, sdk_key, sdk_metadata, telemetry_runtime_producer):
"""Class constructor. :param client: HTTP Client responsble for issuing calls to the backend. :type client: HttpCl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuthAPI:
"""Class that uses an httpClient to communicate with the SDK Auth Service API."""
def __init__(self, client, sdk_key, sdk_metadata, telemetry_runtime_producer):
"""Class constructor. :param client: HTTP Client responsble for issuing calls to the backend. :type client: HttpClient :param s... | the_stack_v2_python_sparse | splitio/api/auth.py | splitio/python-client | train | 17 |
2a6e62639eac740ae3f63d1a6d2e31003f47e84b | [
"self.timeStep = 40\nself.RShoulderPitch = self.getDevice('RShoulderPitch')\nself.LShoulderPitch = self.getDevice('LShoulderPitch')\nself.RShoulderPitch.setPosition(1.1)\nself.LShoulderPitch.setPosition(1.1)",
"walk = Motion('forward.motion')\nwalk.setLoop(True)\nwalk.play()\nwhile True:\n if walk.getTime() ==... | <|body_start_0|>
self.timeStep = 40
self.RShoulderPitch = self.getDevice('RShoulderPitch')
self.LShoulderPitch = self.getDevice('LShoulderPitch')
self.RShoulderPitch.setPosition(1.1)
self.LShoulderPitch.setPosition(1.1)
<|end_body_0|>
<|body_start_1|>
walk = Motion('forw... | Make the NAO robot run as fast as possible. | Sprinter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Sprinter:
"""Make the NAO robot run as fast as possible."""
def initialize(self):
"""Get device pointers, enable sensors and set robot initial pose."""
<|body_0|>
def run(self):
"""Play the forward motion and loop on the walking cycle."""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_067784 | 2,606 | permissive | [
{
"docstring": "Get device pointers, enable sensors and set robot initial pose.",
"name": "initialize",
"signature": "def initialize(self)"
},
{
"docstring": "Play the forward motion and loop on the walking cycle.",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_040458 | Implement the Python class `Sprinter` described below.
Class description:
Make the NAO robot run as fast as possible.
Method signatures and docstrings:
- def initialize(self): Get device pointers, enable sensors and set robot initial pose.
- def run(self): Play the forward motion and loop on the walking cycle. | Implement the Python class `Sprinter` described below.
Class description:
Make the NAO robot run as fast as possible.
Method signatures and docstrings:
- def initialize(self): Get device pointers, enable sensors and set robot initial pose.
- def run(self): Play the forward motion and loop on the walking cycle.
<|ske... | 8aba6eaae76989facf3442305c8089d3cc366bcf | <|skeleton|>
class Sprinter:
"""Make the NAO robot run as fast as possible."""
def initialize(self):
"""Get device pointers, enable sensors and set robot initial pose."""
<|body_0|>
def run(self):
"""Play the forward motion and loop on the walking cycle."""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Sprinter:
"""Make the NAO robot run as fast as possible."""
def initialize(self):
"""Get device pointers, enable sensors and set robot initial pose."""
self.timeStep = 40
self.RShoulderPitch = self.getDevice('RShoulderPitch')
self.LShoulderPitch = self.getDevice('LShoulder... | the_stack_v2_python_sparse | projects/samples/robotbenchmark/humanoid_sprint/controllers/sprinter/sprinter.py | cyberbotics/webots | train | 2,495 |
8893d2536bd8822b6682a657af5a03b3e86467ec | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn AccessPackageResource()",
"from .access_package_resource_environment import AccessPackageResourceEnvironment\nfrom .access_package_resource_role import AccessPackageResourceRole\nfrom .access_package_resource_scope import AccessPackage... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return AccessPackageResource()
<|end_body_0|>
<|body_start_1|>
from .access_package_resource_environment import AccessPackageResourceEnvironment
from .access_package_resource_role import Access... | AccessPackageResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccessPackageResource:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessPackageResource:
"""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... | stack_v2_sparse_classes_75kplus_train_067785 | 5,510 | 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: AccessPackageResource",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminat... | 3 | null | Implement the Python class `AccessPackageResource` described below.
Class description:
Implement the AccessPackageResource class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessPackageResource: Creates a new instance of the appropriate class base... | Implement the Python class `AccessPackageResource` described below.
Class description:
Implement the AccessPackageResource class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessPackageResource: Creates a new instance of the appropriate class base... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class AccessPackageResource:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessPackageResource:
"""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... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AccessPackageResource:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessPackageResource:
"""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 Retur... | the_stack_v2_python_sparse | msgraph/generated/models/access_package_resource.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
f4ebd6a04dd0e7e38500811f67912bbd771bde9f | [
"essential_keys = ['u0', 'mu', 'newton_maxiter', 'newton_tol']\nfor key in essential_keys:\n if key not in problem_params:\n msg = 'need %s to instantiate problem, only got %s' % (key, str(problem_params.keys()))\n raise ParameterError(msg)\nproblem_params['nvars'] = 2\nif 'stop_at_nan' not in prob... | <|body_start_0|>
essential_keys = ['u0', 'mu', 'newton_maxiter', 'newton_tol']
for key in essential_keys:
if key not in problem_params:
msg = 'need %s to instantiate problem, only got %s' % (key, str(problem_params.keys()))
raise ParameterError(msg)
pr... | Example implementing the van der pol oscillator | vanderpol | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class vanderpol:
"""Example implementing the van der pol oscillator"""
def __init__(self, problem_params, dtype_u=mesh, dtype_f=mesh):
"""Initialization routine Args: problem_params (dict): custom parameters for the example dtype_u: mesh data type (will be passed parent class) dtype_f: mes... | stack_v2_sparse_classes_75kplus_train_067786 | 4,353 | permissive | [
{
"docstring": "Initialization routine Args: problem_params (dict): custom parameters for the example dtype_u: mesh data type (will be passed parent class) dtype_f: mesh data type (will be passed parent class)",
"name": "__init__",
"signature": "def __init__(self, problem_params, dtype_u=mesh, dtype_f=m... | 4 | stack_v2_sparse_classes_30k_train_019321 | Implement the Python class `vanderpol` described below.
Class description:
Example implementing the van der pol oscillator
Method signatures and docstrings:
- def __init__(self, problem_params, dtype_u=mesh, dtype_f=mesh): Initialization routine Args: problem_params (dict): custom parameters for the example dtype_u: ... | Implement the Python class `vanderpol` described below.
Class description:
Example implementing the van der pol oscillator
Method signatures and docstrings:
- def __init__(self, problem_params, dtype_u=mesh, dtype_f=mesh): Initialization routine Args: problem_params (dict): custom parameters for the example dtype_u: ... | de2cd523411276083355389d7e7993106cedf93d | <|skeleton|>
class vanderpol:
"""Example implementing the van der pol oscillator"""
def __init__(self, problem_params, dtype_u=mesh, dtype_f=mesh):
"""Initialization routine Args: problem_params (dict): custom parameters for the example dtype_u: mesh data type (will be passed parent class) dtype_f: mes... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class vanderpol:
"""Example implementing the van der pol oscillator"""
def __init__(self, problem_params, dtype_u=mesh, dtype_f=mesh):
"""Initialization routine Args: problem_params (dict): custom parameters for the example dtype_u: mesh data type (will be passed parent class) dtype_f: mesh data type (... | the_stack_v2_python_sparse | pySDC/implementations/problem_classes/Van_der_Pol_implicit.py | ruthschoebel/pySDC | train | 0 |
0f7e6d9799e06a282bb04b2357c7b7e71e6adbab | [
"if not root:\n return True\nif root.left:\n if not self.isValidBST(root.left):\n return False\n max_l = self.maxBST(root.left)\n if max_l >= root.val:\n return False\nif root.right:\n if not self.isValidBST(root.right):\n return False\n min_r = self.minBST(root.right)\n if... | <|body_start_0|>
if not root:
return True
if root.left:
if not self.isValidBST(root.left):
return False
max_l = self.maxBST(root.left)
if max_l >= root.val:
return False
if root.right:
if not self.isValid... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def minBST(self, root):
"""find min value of a BST, assume root not-None"""
<|body_1|>
def maxBST(self, root):
"""find max value of a BST, assume root not-No... | stack_v2_sparse_classes_75kplus_train_067787 | 1,076 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isValidBST",
"signature": "def isValidBST(self, root)"
},
{
"docstring": "find min value of a BST, assume root not-None",
"name": "minBST",
"signature": "def minBST(self, root)"
},
{
"docstring": "find max value of a BS... | 3 | stack_v2_sparse_classes_30k_train_019087 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST(self, root): :type root: TreeNode :rtype: bool
- def minBST(self, root): find min value of a BST, assume root not-None
- def maxBST(self, root): find max value of ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST(self, root): :type root: TreeNode :rtype: bool
- def minBST(self, root): find min value of a BST, assume root not-None
- def maxBST(self, root): find max value of ... | e00cf94c5b86c8cca27e3bee69ad21e727b7679b | <|skeleton|>
class Solution:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def minBST(self, root):
"""find min value of a BST, assume root not-None"""
<|body_1|>
def maxBST(self, root):
"""find max value of a BST, assume root not-No... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
if not root:
return True
if root.left:
if not self.isValidBST(root.left):
return False
max_l = self.maxBST(root.left)
if max_l >= root.val:
... | the_stack_v2_python_sparse | interview/prob98.py | binchen15/leet-python | train | 1 | |
cd43ea9ebf98f1622082426ca6e3cf5863856fa2 | [
"assert interrupt_handle or parent_handle\nsuper().__init__()\nif ctypes is None:\n msg = 'ParentPollerWindows requires ctypes'\n raise ImportError(msg)\nself.daemon = True\nself.interrupt_handle = interrupt_handle\nself.parent_handle = parent_handle",
"try:\n from _winapi import INFINITE, WAIT_OBJECT_0\... | <|body_start_0|>
assert interrupt_handle or parent_handle
super().__init__()
if ctypes is None:
msg = 'ParentPollerWindows requires ctypes'
raise ImportError(msg)
self.daemon = True
self.interrupt_handle = interrupt_handle
self.parent_handle = pare... | A Windows-specific daemon thread that listens for a special event that signals an interrupt and, optionally, terminates the program immediately when the parent process no longer exists. | ParentPollerWindows | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParentPollerWindows:
"""A Windows-specific daemon thread that listens for a special event that signals an interrupt and, optionally, terminates the program immediately when the parent process no longer exists."""
def __init__(self, interrupt_handle=None, parent_handle=None):
"""Creat... | stack_v2_sparse_classes_75kplus_train_067788 | 4,249 | permissive | [
{
"docstring": "Create the poller. At least one of the optional parameters must be provided. Parameters ---------- interrupt_handle : HANDLE (int), optional If provided, the program will generate a Ctrl+C event when this handle is signaled. parent_handle : HANDLE (int), optional If provided, the program will te... | 2 | stack_v2_sparse_classes_30k_train_040788 | Implement the Python class `ParentPollerWindows` described below.
Class description:
A Windows-specific daemon thread that listens for a special event that signals an interrupt and, optionally, terminates the program immediately when the parent process no longer exists.
Method signatures and docstrings:
- def __init_... | Implement the Python class `ParentPollerWindows` described below.
Class description:
A Windows-specific daemon thread that listens for a special event that signals an interrupt and, optionally, terminates the program immediately when the parent process no longer exists.
Method signatures and docstrings:
- def __init_... | f5042e35b945aded77b23470ead62d7eacefde92 | <|skeleton|>
class ParentPollerWindows:
"""A Windows-specific daemon thread that listens for a special event that signals an interrupt and, optionally, terminates the program immediately when the parent process no longer exists."""
def __init__(self, interrupt_handle=None, parent_handle=None):
"""Creat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ParentPollerWindows:
"""A Windows-specific daemon thread that listens for a special event that signals an interrupt and, optionally, terminates the program immediately when the parent process no longer exists."""
def __init__(self, interrupt_handle=None, parent_handle=None):
"""Create the poller.... | the_stack_v2_python_sparse | contrib/python/ipykernel/py3/ipykernel/parentpoller.py | catboost/catboost | train | 8,012 |
9192d05768c17a08011946c8b55794d195f22761 | [
"self.root = Node()\nfor i, word in enumerate(words):\n longw = word + '#' + word\n for j in range(len(word)):\n cur = self.root\n cur.index = i\n for c in longw[j:]:\n cur = cur[c]\n cur.index = i",
"word = suffix + '#' + prefix\ncur = self.root\nfor c in word:\n ... | <|body_start_0|>
self.root = Node()
for i, word in enumerate(words):
longw = word + '#' + word
for j in range(len(word)):
cur = self.root
cur.index = i
for c in longw[j:]:
cur = cur[c]
cur.ind... | WordFilter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordFilter:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def f(self, prefix, suffix):
""":type prefix: str :type suffix: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.root = Node()
for i, word in ... | stack_v2_sparse_classes_75kplus_train_067789 | 2,614 | no_license | [
{
"docstring": ":type words: List[str]",
"name": "__init__",
"signature": "def __init__(self, words)"
},
{
"docstring": ":type prefix: str :type suffix: str :rtype: int",
"name": "f",
"signature": "def f(self, prefix, suffix)"
}
] | 2 | stack_v2_sparse_classes_30k_train_046890 | Implement the Python class `WordFilter` described below.
Class description:
Implement the WordFilter class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def f(self, prefix, suffix): :type prefix: str :type suffix: str :rtype: int | Implement the Python class `WordFilter` described below.
Class description:
Implement the WordFilter class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def f(self, prefix, suffix): :type prefix: str :type suffix: str :rtype: int
<|skeleton|>
class WordFilter:
def __in... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class WordFilter:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def f(self, prefix, suffix):
""":type prefix: str :type suffix: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WordFilter:
def __init__(self, words):
""":type words: List[str]"""
self.root = Node()
for i, word in enumerate(words):
longw = word + '#' + word
for j in range(len(word)):
cur = self.root
cur.index = i
for c in lo... | the_stack_v2_python_sparse | P/PrefixandSuffixSearch.py | bssrdf/pyleet | train | 2 | |
4df18171bc79924d8bc07643a1fbf4a8de8b1120 | [
"collisions, env_collisions, rigidbodies = PyImpact.get_collisions(resp)\nself.collisions: Dict[int, CollisionType] = dict()\nself.env_collision = CollisionType.none\nif rigidbodies is None:\n return\nfor i in range(rigidbodies.get_num()):\n if rigidbodies.get_id(i) == object_id:\n ang_vel = rigidbodie... | <|body_start_0|>
collisions, env_collisions, rigidbodies = PyImpact.get_collisions(resp)
self.collisions: Dict[int, CollisionType] = dict()
self.env_collision = CollisionType.none
if rigidbodies is None:
return
for i in range(rigidbodies.get_num()):
if rig... | All types of collision (impact, scrape, roll, none) between an object and any other objects or the environment on this frame. Usage: ```python from tdw.controller import Controller from tdw.py_impact import CollisionTypesOnFrame object_id = c.get_unique_id() c = Controller() c.start() # Your code here. # Request the re... | CollisionTypesOnFrame | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CollisionTypesOnFrame:
"""All types of collision (impact, scrape, roll, none) between an object and any other objects or the environment on this frame. Usage: ```python from tdw.controller import Controller from tdw.py_impact import CollisionTypesOnFrame object_id = c.get_unique_id() c = Controll... | stack_v2_sparse_classes_75kplus_train_067790 | 39,621 | permissive | [
{
"docstring": ":param object_id: The unique ID of the colliding object. :param resp: The response from the build.",
"name": "__init__",
"signature": "def __init__(self, object_id: int, resp: List[bytes])"
},
{
"docstring": ":param ang_vel: The angular velocity of this object. :param states: The... | 2 | null | Implement the Python class `CollisionTypesOnFrame` described below.
Class description:
All types of collision (impact, scrape, roll, none) between an object and any other objects or the environment on this frame. Usage: ```python from tdw.controller import Controller from tdw.py_impact import CollisionTypesOnFrame obj... | Implement the Python class `CollisionTypesOnFrame` described below.
Class description:
All types of collision (impact, scrape, roll, none) between an object and any other objects or the environment on this frame. Usage: ```python from tdw.controller import Controller from tdw.py_impact import CollisionTypesOnFrame obj... | 5d98ce6e4629318403de84dfcc5edfe61498e12c | <|skeleton|>
class CollisionTypesOnFrame:
"""All types of collision (impact, scrape, roll, none) between an object and any other objects or the environment on this frame. Usage: ```python from tdw.controller import Controller from tdw.py_impact import CollisionTypesOnFrame object_id = c.get_unique_id() c = Controll... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CollisionTypesOnFrame:
"""All types of collision (impact, scrape, roll, none) between an object and any other objects or the environment on this frame. Usage: ```python from tdw.controller import Controller from tdw.py_impact import CollisionTypesOnFrame object_id = c.get_unique_id() c = Controller() c.start(... | the_stack_v2_python_sparse | Python/tdw/py_impact.py | meier-johannes94/tdw | train | 0 |
9786d654210c0adc1b38dee72c277cef9406f71c | [
"super().__init__(input_tensor_spec, input_preprocessors, preprocessing_combiner=preprocessing_combiner, name=name)\nif kernel_initializer is None:\n kernel_initializer = functools.partial(variance_scaling_init, mode='fan_in', distribution='truncated_normal', nonlinearity=activation)\nembedding_layers = nn.Modul... | <|body_start_0|>
super().__init__(input_tensor_spec, input_preprocessors, preprocessing_combiner=preprocessing_combiner, name=name)
if kernel_initializer is None:
kernel_initializer = functools.partial(variance_scaling_init, mode='fan_in', distribution='truncated_normal', nonlinearity=activa... | Simple graph encoding network, which takes as input a set of objects and outputs one encoded feature vector. Reference: Leurent et al "Social Attention for Autonomous Decision-Making in Dense Traffic", arXiv:1911.12250 | SocialAttentionNetwork | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SocialAttentionNetwork:
"""Simple graph encoding network, which takes as input a set of objects and outputs one encoded feature vector. Reference: Leurent et al "Social Attention for Autonomous Decision-Making in Dense Traffic", arXiv:1911.12250"""
def __init__(self, input_tensor_spec, input... | stack_v2_sparse_classes_75kplus_train_067791 | 16,672 | permissive | [
{
"docstring": "Args: input_tensor_spec (nested TensorSpec): the (nested) tensor spec of the input. If nested, then ``preprocessing_combiner`` must not be None. input_preprocessors (nested InputPreprocessor): a nest of ``InputPreprocessor``, each of which will be applied to the corresponding input. If not None,... | 2 | stack_v2_sparse_classes_30k_val_002363 | Implement the Python class `SocialAttentionNetwork` described below.
Class description:
Simple graph encoding network, which takes as input a set of objects and outputs one encoded feature vector. Reference: Leurent et al "Social Attention for Autonomous Decision-Making in Dense Traffic", arXiv:1911.12250
Method sign... | Implement the Python class `SocialAttentionNetwork` described below.
Class description:
Simple graph encoding network, which takes as input a set of objects and outputs one encoded feature vector. Reference: Leurent et al "Social Attention for Autonomous Decision-Making in Dense Traffic", arXiv:1911.12250
Method sign... | b00ff2fa5e660de31020338ba340263183fbeaa4 | <|skeleton|>
class SocialAttentionNetwork:
"""Simple graph encoding network, which takes as input a set of objects and outputs one encoded feature vector. Reference: Leurent et al "Social Attention for Autonomous Decision-Making in Dense Traffic", arXiv:1911.12250"""
def __init__(self, input_tensor_spec, input... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SocialAttentionNetwork:
"""Simple graph encoding network, which takes as input a set of objects and outputs one encoded feature vector. Reference: Leurent et al "Social Attention for Autonomous Decision-Making in Dense Traffic", arXiv:1911.12250"""
def __init__(self, input_tensor_spec, input_preprocessor... | the_stack_v2_python_sparse | alf/networks/transformer_networks.py | HorizonRobotics/alf | train | 288 |
d7125702e875706a00e0fdc28f1bf5aa713323a4 | [
"super(KeepVelocity, self).__init__(name)\nself._vehicle = vehicle\nself._target_velocity = target_velocity\nself._control.steering = 0",
"new_status = py_trees.common.Status.RUNNING\nif Tracker.get_velocity(self._vehicle) < self._target_velocity:\n self._control.throttle = 1.0\nelse:\n self._control.thrott... | <|body_start_0|>
super(KeepVelocity, self).__init__(name)
self._vehicle = vehicle
self._target_velocity = target_velocity
self._control.steering = 0
<|end_body_0|>
<|body_start_1|>
new_status = py_trees.common.Status.RUNNING
if Tracker.get_velocity(self._vehicle) < self.... | This class contains an atomic behavior to keep the provided velocity. The controlled traffic participant will accelerate as fast as possible until reaching a given _target_velocity_, which is then maintained for as long as this behavior is active. Note: In parallel to this behavior a termination behavior has to be used... | KeepVelocity | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KeepVelocity:
"""This class contains an atomic behavior to keep the provided velocity. The controlled traffic participant will accelerate as fast as possible until reaching a given _target_velocity_, which is then maintained for as long as this behavior is active. Note: In parallel to this behavi... | stack_v2_sparse_classes_75kplus_train_067792 | 3,916 | no_license | [
{
"docstring": "Setup parameters including acceleration value (via throttle_value) and target velocity",
"name": "__init__",
"signature": "def __init__(self, vehicle, target_velocity, name='KeepVelocity')"
},
{
"docstring": "Set throttle to throttle_value, as long as velocity is < target_velocit... | 3 | stack_v2_sparse_classes_30k_train_040850 | Implement the Python class `KeepVelocity` described below.
Class description:
This class contains an atomic behavior to keep the provided velocity. The controlled traffic participant will accelerate as fast as possible until reaching a given _target_velocity_, which is then maintained for as long as this behavior is a... | Implement the Python class `KeepVelocity` described below.
Class description:
This class contains an atomic behavior to keep the provided velocity. The controlled traffic participant will accelerate as fast as possible until reaching a given _target_velocity_, which is then maintained for as long as this behavior is a... | 63c1806939bfb35f1c90d39d835d97293199fd1d | <|skeleton|>
class KeepVelocity:
"""This class contains an atomic behavior to keep the provided velocity. The controlled traffic participant will accelerate as fast as possible until reaching a given _target_velocity_, which is then maintained for as long as this behavior is active. Note: In parallel to this behavi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KeepVelocity:
"""This class contains an atomic behavior to keep the provided velocity. The controlled traffic participant will accelerate as fast as possible until reaching a given _target_velocity_, which is then maintained for as long as this behavior is active. Note: In parallel to this behavior a terminat... | the_stack_v2_python_sparse | scenario_management/scenario_definition/behaviours/vehicle.py | balakrishna-k/carmageddon | train | 1 |
bed877936807c4ef341ab4bd0bbac28b5373ace9 | [
"dup, missing = (-1, -1)\nfor n in nums:\n if nums[abs(n) - 1] < 0:\n dup = abs(n)\n else:\n nums[abs(n) - 1] *= -1\nfor i in xrange(len(nums)):\n if nums[i] > 0:\n missing = i + 1\n break\nreturn [dup, missing]",
"S = set()\ndup, missing = (-1, -1)\nfor n in nums:\n if n n... | <|body_start_0|>
dup, missing = (-1, -1)
for n in nums:
if nums[abs(n) - 1] < 0:
dup = abs(n)
else:
nums[abs(n) - 1] *= -1
for i in xrange(len(nums)):
if nums[i] > 0:
missing = i + 1
break
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findErrorNums(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def findErrorNumsFirstSolution(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
dup, missing = (... | stack_v2_sparse_classes_75kplus_train_067793 | 987 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "findErrorNums",
"signature": "def findErrorNums(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "findErrorNumsFirstSolution",
"signature": "def findErrorNumsFirstSolution(self, nums)"
}... | 2 | stack_v2_sparse_classes_30k_train_016735 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findErrorNums(self, nums): :type nums: List[int] :rtype: List[int]
- def findErrorNumsFirstSolution(self, nums): :type nums: List[int] :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findErrorNums(self, nums): :type nums: List[int] :rtype: List[int]
- def findErrorNumsFirstSolution(self, nums): :type nums: List[int] :rtype: List[int]
<|skeleton|>
class S... | 25e5caf324e25edfdf0a7a3be1e572f5d4c88837 | <|skeleton|>
class Solution:
def findErrorNums(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def findErrorNumsFirstSolution(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findErrorNums(self, nums):
""":type nums: List[int] :rtype: List[int]"""
dup, missing = (-1, -1)
for n in nums:
if nums[abs(n) - 1] < 0:
dup = abs(n)
else:
nums[abs(n) - 1] *= -1
for i in xrange(len(nums)):
... | the_stack_v2_python_sparse | Arrays/set_mismatch.py | msraju2009/CodingProblemsPractice | train | 0 | |
0d46f30349c23e17197d09ed31d1eb4a7673c7fd | [
"super(MeanShift, self).__init__()\nself.rgb_std = rgb_std\nself.rgb_mean = rgb_mean\nself.sign = sign\nself.rgb_range = rgb_range",
"std = tf.convert_to_tensor(self.rgb_std, dtype=tf.float32)\nself.weight = tf.convert_to_tensor(np.eye(3).astype(np.float32))\nself.weight = tf.div(self.weight, std)\nself.bias = se... | <|body_start_0|>
super(MeanShift, self).__init__()
self.rgb_std = rgb_std
self.rgb_mean = rgb_mean
self.sign = sign
self.rgb_range = rgb_range
<|end_body_0|>
<|body_start_1|>
std = tf.convert_to_tensor(self.rgb_std, dtype=tf.float32)
self.weight = tf.convert_to_t... | Subtract or add rgb_mean to the image. | MeanShift | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MeanShift:
"""Subtract or add rgb_mean to the image."""
def __init__(self, rgb_range, rgb_mean, rgb_std=(1.0, 1.0, 1.0), sign=-1):
"""Construct the class MeanShift. :param rgb_range: range of tensor, usually 1.0 or 255.0 :param rgb_mean: mean of rgb value :param rgb_std: std of rgb v... | stack_v2_sparse_classes_75kplus_train_067794 | 33,272 | permissive | [
{
"docstring": "Construct the class MeanShift. :param rgb_range: range of tensor, usually 1.0 or 255.0 :param rgb_mean: mean of rgb value :param rgb_std: std of rgb value :param sign: -1 for subtract, 1 for add",
"name": "__init__",
"signature": "def __init__(self, rgb_range, rgb_mean, rgb_std=(1.0, 1.0... | 2 | stack_v2_sparse_classes_30k_train_007928 | Implement the Python class `MeanShift` described below.
Class description:
Subtract or add rgb_mean to the image.
Method signatures and docstrings:
- def __init__(self, rgb_range, rgb_mean, rgb_std=(1.0, 1.0, 1.0), sign=-1): Construct the class MeanShift. :param rgb_range: range of tensor, usually 1.0 or 255.0 :param... | Implement the Python class `MeanShift` described below.
Class description:
Subtract or add rgb_mean to the image.
Method signatures and docstrings:
- def __init__(self, rgb_range, rgb_mean, rgb_std=(1.0, 1.0, 1.0), sign=-1): Construct the class MeanShift. :param rgb_range: range of tensor, usually 1.0 or 255.0 :param... | e4ef3a1c92d19d1d08c3ef0e2156b6fecefdbe04 | <|skeleton|>
class MeanShift:
"""Subtract or add rgb_mean to the image."""
def __init__(self, rgb_range, rgb_mean, rgb_std=(1.0, 1.0, 1.0), sign=-1):
"""Construct the class MeanShift. :param rgb_range: range of tensor, usually 1.0 or 255.0 :param rgb_mean: mean of rgb value :param rgb_std: std of rgb v... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MeanShift:
"""Subtract or add rgb_mean to the image."""
def __init__(self, rgb_range, rgb_mean, rgb_std=(1.0, 1.0, 1.0), sign=-1):
"""Construct the class MeanShift. :param rgb_range: range of tensor, usually 1.0 or 255.0 :param rgb_mean: mean of rgb value :param rgb_std: std of rgb value :param s... | the_stack_v2_python_sparse | zeus/modules/operators/functions/tensorflow_fn.py | huawei-noah/xingtian | train | 308 |
51e036e4d90cdf58a1568336f39be8a2799f3469 | [
"query = biz.g.session.query(biz.accounts.User)\norganization_id = flask.request.args.get('organization_id')\nif organization_id is not None:\n query = query.filter_by(organization_id=int(organization_id))\nmedia = CollectionMedia.from_request_and_query(query, UserMedia, sortable_columns={'username': biz.account... | <|body_start_0|>
query = biz.g.session.query(biz.accounts.User)
organization_id = flask.request.args.get('organization_id')
if organization_id is not None:
query = query.filter_by(organization_id=int(organization_id))
media = CollectionMedia.from_request_and_query(query, User... | HTTP methods for `User` entities. | UsersView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UsersView:
"""HTTP methods for `User` entities."""
def get(self, organization_id=None):
"""GET representation of a `UserMedia` collection."""
<|body_0|>
def post(self):
"""POST new user according to request entity."""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_067795 | 31,617 | no_license | [
{
"docstring": "GET representation of a `UserMedia` collection.",
"name": "get",
"signature": "def get(self, organization_id=None)"
},
{
"docstring": "POST new user according to request entity.",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005776 | Implement the Python class `UsersView` described below.
Class description:
HTTP methods for `User` entities.
Method signatures and docstrings:
- def get(self, organization_id=None): GET representation of a `UserMedia` collection.
- def post(self): POST new user according to request entity. | Implement the Python class `UsersView` described below.
Class description:
HTTP methods for `User` entities.
Method signatures and docstrings:
- def get(self, organization_id=None): GET representation of a `UserMedia` collection.
- def post(self): POST new user according to request entity.
<|skeleton|>
class UsersVi... | b2053c1ede946d961ceae27dc393b5977332076c | <|skeleton|>
class UsersView:
"""HTTP methods for `User` entities."""
def get(self, organization_id=None):
"""GET representation of a `UserMedia` collection."""
<|body_0|>
def post(self):
"""POST new user according to request entity."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UsersView:
"""HTTP methods for `User` entities."""
def get(self, organization_id=None):
"""GET representation of a `UserMedia` collection."""
query = biz.g.session.query(biz.accounts.User)
organization_id = flask.request.args.get('organization_id')
if organization_id is no... | the_stack_v2_python_sparse | Angaza_ACME_Backend_SMS/backend/za/blueprints/biz_api.py | ebland/Interview-Challenges | train | 0 |
b800923ace451f5793be39ee42413de6eb030af4 | [
"self.data = data\nself.best_acc = best_acc\nself.file_weights = file_weights\nself.early_stopping = early_stopping\nself.epochs_since_improvement = 0\nself.epoch_best = 0\nself.considered_improvement = considered_improvement\nself.label_list = label_list",
"results = evaluate_metrics(self.model, self.data, ['cla... | <|body_start_0|>
self.data = data
self.best_acc = best_acc
self.file_weights = file_weights
self.early_stopping = early_stopping
self.epochs_since_improvement = 0
self.epoch_best = 0
self.considered_improvement = considered_improvement
self.label_list = la... | Keras callback to calculate acc after each epoch and save file with the weights if the evaluation improves | ClassificationCallback | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClassificationCallback:
"""Keras callback to calculate acc after each epoch and save file with the weights if the evaluation improves"""
def __init__(self, data, file_weights=None, best_acc=0, early_stopping=0, considered_improvement=0.01, label_list=[]):
"""Initialize the keras call... | stack_v2_sparse_classes_75kplus_train_067796 | 8,596 | permissive | [
{
"docstring": "Initialize the keras callback Parameters ---------- data : tuple or KerasDataGenerator Validation data for model evaluation (X_val, Y_val) or KerasDataGenerator file_weights : string Path to the file with the weights best_acc : float Last accuracy value, only if continue early_stopping : int Num... | 2 | stack_v2_sparse_classes_30k_train_018045 | Implement the Python class `ClassificationCallback` described below.
Class description:
Keras callback to calculate acc after each epoch and save file with the weights if the evaluation improves
Method signatures and docstrings:
- def __init__(self, data, file_weights=None, best_acc=0, early_stopping=0, considered_im... | Implement the Python class `ClassificationCallback` described below.
Class description:
Keras callback to calculate acc after each epoch and save file with the weights if the evaluation improves
Method signatures and docstrings:
- def __init__(self, data, file_weights=None, best_acc=0, early_stopping=0, considered_im... | 61103493c55233a80f92f0f52639788b50ef2edd | <|skeleton|>
class ClassificationCallback:
"""Keras callback to calculate acc after each epoch and save file with the weights if the evaluation improves"""
def __init__(self, data, file_weights=None, best_acc=0, early_stopping=0, considered_improvement=0.01, label_list=[]):
"""Initialize the keras call... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClassificationCallback:
"""Keras callback to calculate acc after each epoch and save file with the weights if the evaluation improves"""
def __init__(self, data, file_weights=None, best_acc=0, early_stopping=0, considered_improvement=0.01, label_list=[]):
"""Initialize the keras callback Paramete... | the_stack_v2_python_sparse | dcase_models/util/callbacks.py | BilalAltundag/DCASE-models | train | 0 |
6f0a1161c58a38699e3b31b86f68831b24bc9c89 | [
"def dfs(node):\n if not node:\n return 0\n count = 1\n for child in (node.left, node.right):\n if not child:\n continue\n count_child = dfs(child)\n if child.val == node.val + 1:\n count = max(count, count_child + 1)\n self.max_count = max(self.max_coun... | <|body_start_0|>
def dfs(node):
if not node:
return 0
count = 1
for child in (node.left, node.right):
if not child:
continue
count_child = dfs(child)
if child.val == node.val + 1:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestConsecutive(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def longestConsecutive_verbose(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def dfs(node):
... | stack_v2_sparse_classes_75kplus_train_067797 | 2,981 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "longestConsecutive",
"signature": "def longestConsecutive(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "longestConsecutive_verbose",
"signature": "def longestConsecutive_verbose(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_031870 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestConsecutive(self, root): :type root: TreeNode :rtype: int
- def longestConsecutive_verbose(self, root): :type root: TreeNode :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestConsecutive(self, root): :type root: TreeNode :rtype: int
- def longestConsecutive_verbose(self, root): :type root: TreeNode :rtype: int
<|skeleton|>
class Solution:
... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def longestConsecutive(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def longestConsecutive_verbose(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestConsecutive(self, root):
""":type root: TreeNode :rtype: int"""
def dfs(node):
if not node:
return 0
count = 1
for child in (node.left, node.right):
if not child:
continue
... | the_stack_v2_python_sparse | src/lt_298.py | oxhead/CodingYourWay | train | 0 | |
386e3f7e35652a26ed8ce5122c7deca74ea951ac | [
"self.entity_description = sensor\nself._attr_unique_id = f\"{coordinator.data['deviceID']}-{sensor.key}\"\nsuper().__init__(coordinator)",
"if (value := self.coordinator.data.get(self.entity_description.key)) is None:\n return None\nif self.entity_description.state_fn is not None:\n return self.entity_desc... | <|body_start_0|>
self.entity_description = sensor
self._attr_unique_id = f"{coordinator.data['deviceID']}-{sensor.key}"
super().__init__(coordinator)
<|end_body_0|>
<|body_start_1|>
if (value := self.coordinator.data.get(self.entity_description.key)) is None:
return None
... | Representation of a Fully Kiosk Browser sensor. | FullySensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FullySensor:
"""Representation of a Fully Kiosk Browser sensor."""
def __init__(self, coordinator: FullyKioskDataUpdateCoordinator, sensor: FullySensorEntityDescription) -> None:
"""Initialize the sensor entity."""
<|body_0|>
def native_value(self) -> StateType:
... | stack_v2_sparse_classes_75kplus_train_067798 | 4,613 | permissive | [
{
"docstring": "Initialize the sensor entity.",
"name": "__init__",
"signature": "def __init__(self, coordinator: FullyKioskDataUpdateCoordinator, sensor: FullySensorEntityDescription) -> None"
},
{
"docstring": "Return the state of the sensor.",
"name": "native_value",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_train_024369 | Implement the Python class `FullySensor` described below.
Class description:
Representation of a Fully Kiosk Browser sensor.
Method signatures and docstrings:
- def __init__(self, coordinator: FullyKioskDataUpdateCoordinator, sensor: FullySensorEntityDescription) -> None: Initialize the sensor entity.
- def native_va... | Implement the Python class `FullySensor` described below.
Class description:
Representation of a Fully Kiosk Browser sensor.
Method signatures and docstrings:
- def __init__(self, coordinator: FullyKioskDataUpdateCoordinator, sensor: FullySensorEntityDescription) -> None: Initialize the sensor entity.
- def native_va... | 2e65b77b2b5c17919939481f327963abdfdc53f0 | <|skeleton|>
class FullySensor:
"""Representation of a Fully Kiosk Browser sensor."""
def __init__(self, coordinator: FullyKioskDataUpdateCoordinator, sensor: FullySensorEntityDescription) -> None:
"""Initialize the sensor entity."""
<|body_0|>
def native_value(self) -> StateType:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FullySensor:
"""Representation of a Fully Kiosk Browser sensor."""
def __init__(self, coordinator: FullyKioskDataUpdateCoordinator, sensor: FullySensorEntityDescription) -> None:
"""Initialize the sensor entity."""
self.entity_description = sensor
self._attr_unique_id = f"{coordin... | the_stack_v2_python_sparse | homeassistant/components/fully_kiosk/sensor.py | konnected-io/home-assistant | train | 24 |
01c38b26c3ce7de55647ad3b80725618699fe4f8 | [
"self.timeLimit = timeLimit\nself.pid = pid\nself.exe = exe\nself.log = log\nself.extraTimer = None\nself.mainTimer = threading.Timer(timeLimit, self.MaybeDoKill)\nself.mainTimer.start()",
"self.mainTimer.cancel()\nif self.extraTimer:\n self.extraTimer.cancel()\n self.extraTimer.join()\nself.mainTimer.join(... | <|body_start_0|>
self.timeLimit = timeLimit
self.pid = pid
self.exe = exe
self.log = log
self.extraTimer = None
self.mainTimer = threading.Timer(timeLimit, self.MaybeDoKill)
self.mainTimer.start()
<|end_body_0|>
<|body_start_1|>
self.mainTimer.cancel()
... | A specialised timer creator for killing running tests if they take too long. | TestKillerTimer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestKillerTimer:
"""A specialised timer creator for killing running tests if they take too long."""
def __init__(self, timeLimit, pid, exe, log):
"""Create a new timer."""
<|body_0|>
def Stop(self):
"""Cancel the timer (if it hasn't already fired) and wait for it... | stack_v2_sparse_classes_75kplus_train_067799 | 11,407 | permissive | [
{
"docstring": "Create a new timer.",
"name": "__init__",
"signature": "def __init__(self, timeLimit, pid, exe, log)"
},
{
"docstring": "Cancel the timer (if it hasn't already fired) and wait for it to stop fully.",
"name": "Stop",
"signature": "def Stop(self)"
},
{
"docstring": ... | 5 | stack_v2_sparse_classes_30k_test_000471 | Implement the Python class `TestKillerTimer` described below.
Class description:
A specialised timer creator for killing running tests if they take too long.
Method signatures and docstrings:
- def __init__(self, timeLimit, pid, exe, log): Create a new timer.
- def Stop(self): Cancel the timer (if it hasn't already f... | Implement the Python class `TestKillerTimer` described below.
Class description:
A specialised timer creator for killing running tests if they take too long.
Method signatures and docstrings:
- def __init__(self, timeLimit, pid, exe, log): Create a new timer.
- def Stop(self): Cancel the timer (if it hasn't already f... | f21282cbe6e3c644cba4c24e7a3fa9d55480d9b2 | <|skeleton|>
class TestKillerTimer:
"""A specialised timer creator for killing running tests if they take too long."""
def __init__(self, timeLimit, pid, exe, log):
"""Create a new timer."""
<|body_0|>
def Stop(self):
"""Cancel the timer (if it hasn't already fired) and wait for it... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestKillerTimer:
"""A specialised timer creator for killing running tests if they take too long."""
def __init__(self, timeLimit, pid, exe, log):
"""Create a new timer."""
self.timeLimit = timeLimit
self.pid = pid
self.exe = exe
self.log = log
self.extraTim... | the_stack_v2_python_sparse | python/infra/TestRunner.py | Chaste/Chaste | train | 116 |
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