blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8aeff0b9ef4ccbf9a8a6c374cb3566705965f099 | [
"self.unit_dim = unit_dim\nself.activation = activation\nself.dropout = dropout\nself.regularizer = regularizer\nself.random_seed = random_seed\nself.trainable = trainable\nself.scope = scope\nself.device_spec = get_device_spec(default_gpu_id, num_gpus)\nwith tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.d... | <|body_start_0|>
self.unit_dim = unit_dim
self.activation = activation
self.dropout = dropout
self.regularizer = regularizer
self.random_seed = random_seed
self.trainable = trainable
self.scope = scope
self.device_spec = get_device_spec(default_gpu_id, num... | highway layer | Highway | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Highway:
"""highway layer"""
def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'):
"""initialize highway layer"""
<|body_0|>
def __call__(self, input_data, input_mask):
"... | stack_v2_sparse_classes_36k_train_020200 | 9,944 | permissive | [
{
"docstring": "initialize highway layer",
"name": "__init__",
"signature": "def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway')"
},
{
"docstring": "call highway layer",
"name": "__call__",
"sig... | 2 | stack_v2_sparse_classes_30k_train_018460 | Implement the Python class `Highway` described below.
Class description:
highway layer
Method signatures and docstrings:
- def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'): initialize highway layer
- def __call__(self, in... | Implement the Python class `Highway` described below.
Class description:
highway layer
Method signatures and docstrings:
- def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'): initialize highway layer
- def __call__(self, in... | 05fcbec15e359e3db86af6c3798c13be8a6c58ee | <|skeleton|>
class Highway:
"""highway layer"""
def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'):
"""initialize highway layer"""
<|body_0|>
def __call__(self, input_data, input_mask):
"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Highway:
"""highway layer"""
def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'):
"""initialize highway layer"""
self.unit_dim = unit_dim
self.activation = activation
self.dropout... | the_stack_v2_python_sparse | sequence_labeling/layer/highway.py | stevezheng23/sequence_labeling_tf | train | 18 |
45dc204e8719c43b7b8b46b64f0c8045d41b1b27 | [
"self.origin = asarray(origin)\nself.vectors = asarray(vectors)\nif not colors:\n colors = ('r', 'g', 'b')\nself.colors = colors",
"assert_axes_dimension(axes, 3)\no = self.origin\nxyz = self.vectors\naxes.plot([o[0, 0], o[0, 0] + xyz[0, 0]], [o[0, 1], o[0, 1] + xyz[0, 1]], [o[0, 2], o[0, 2] + xyz[0, 2]], '{0}... | <|body_start_0|>
self.origin = asarray(origin)
self.vectors = asarray(vectors)
if not colors:
colors = ('r', 'g', 'b')
self.colors = colors
<|end_body_0|>
<|body_start_1|>
assert_axes_dimension(axes, 3)
o = self.origin
xyz = self.vectors
axes.... | Definition of a 3D Axes object. Parameters ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes. Attributes ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes. | Axes3D | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Axes3D:
"""Definition of a 3D Axes object. Parameters ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes. Attributes ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes."""
def __... | stack_v2_sparse_classes_36k_train_020201 | 5,340 | permissive | [
{
"docstring": "Initializes the Axes3D object",
"name": "__init__",
"signature": "def __init__(self, origin, vectors, colors=None)"
},
{
"docstring": "Plots the axes object Parameters ---------- axes : object The matplotlib axes object.",
"name": "plot",
"signature": "def plot(self, axes... | 2 | stack_v2_sparse_classes_30k_train_018614 | Implement the Python class `Axes3D` described below.
Class description:
Definition of a 3D Axes object. Parameters ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes. Attributes ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : l... | Implement the Python class `Axes3D` described below.
Class description:
Definition of a 3D Axes object. Parameters ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes. Attributes ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : l... | 486e2e9332553240bcbd80e100d26bff58071709 | <|skeleton|>
class Axes3D:
"""Definition of a 3D Axes object. Parameters ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes. Attributes ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes."""
def __... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Axes3D:
"""Definition of a 3D Axes object. Parameters ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes. Attributes ---------- origin : tuple or list X, Y and Z coordinates for the origin. vectors : list The X, Y and Z axes."""
def __init__(self, ... | the_stack_v2_python_sparse | src/compas_plotters/core/helpers.py | compas-dev/compas | train | 286 |
722557dd6ab5378f6c055ba21ed8dc7ac2f008e8 | [
"super()._init_buffers(v, n, _)\nself.vbos.append(gl.glGenBuffers(1))\ngl.glBindBuffer(gl.GL_ARRAY_BUFFER, self.vbos[3])\nloc = self.get_attribute_location('carried')\ngl.glEnableVertexAttribArray(loc)\ngl.glVertexAttribPointer(loc, 1, gl.GL_FLOAT, gl.GL_FALSE, 0, ctypes.c_void_p(0))\ngl.glVertexAttribDivisor(loc, ... | <|body_start_0|>
super()._init_buffers(v, n, _)
self.vbos.append(gl.glGenBuffers(1))
gl.glBindBuffer(gl.GL_ARRAY_BUFFER, self.vbos[3])
loc = self.get_attribute_location('carried')
gl.glEnableVertexAttribArray(loc)
gl.glVertexAttribPointer(loc, 1, gl.GL_FLOAT, gl.GL_FALSE,... | extended version of OffsetColorProgram. Has a carry flag and changes the position and alpha when flag is 1.0 | OffsetColorCarryProgram | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OffsetColorCarryProgram:
"""extended version of OffsetColorProgram. Has a carry flag and changes the position and alpha when flag is 1.0"""
def _init_buffers(self, v, n, _):
"""extends the init_buffer of OffsetColorProgram class by creating the additional carry flag VBO :param v: the... | stack_v2_sparse_classes_36k_train_020202 | 1,614 | no_license | [
{
"docstring": "extends the init_buffer of OffsetColorProgram class by creating the additional carry flag VBO :param v: the vertex model data (position vectors) :param n: the normal vector model data :return:",
"name": "_init_buffers",
"signature": "def _init_buffers(self, v, n, _)"
},
{
"docstr... | 2 | stack_v2_sparse_classes_30k_test_000588 | Implement the Python class `OffsetColorCarryProgram` described below.
Class description:
extended version of OffsetColorProgram. Has a carry flag and changes the position and alpha when flag is 1.0
Method signatures and docstrings:
- def _init_buffers(self, v, n, _): extends the init_buffer of OffsetColorProgram clas... | Implement the Python class `OffsetColorCarryProgram` described below.
Class description:
extended version of OffsetColorProgram. Has a carry flag and changes the position and alpha when flag is 1.0
Method signatures and docstrings:
- def _init_buffers(self, v, n, _): extends the init_buffer of OffsetColorProgram clas... | 20f8c9d261a6d235f85c777efb33480a71f5ba61 | <|skeleton|>
class OffsetColorCarryProgram:
"""extended version of OffsetColorProgram. Has a carry flag and changes the position and alpha when flag is 1.0"""
def _init_buffers(self, v, n, _):
"""extends the init_buffer of OffsetColorProgram class by creating the additional carry flag VBO :param v: the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OffsetColorCarryProgram:
"""extended version of OffsetColorProgram. Has a carry flag and changes the position and alpha when flag is 1.0"""
def _init_buffers(self, v, n, _):
"""extends the init_buffer of OffsetColorProgram class by creating the additional carry flag VBO :param v: the vertex model... | the_stack_v2_python_sparse | lib/visualization/programs/offset_color_carry_program.py | archeraghi/swarm-sim | train | 0 |
4840243eacd85fa7b2ebf3578174c243e7ed8ff0 | [
"def _default_message_on_done(task):\n return f'{task.completed} steps done in {get_readable_time(seconds=task.finished_time)}'\ncolumns = columns or [SpinnerColumn(), _OnDoneColumn(f'DONE', description, 'progress.description'), BarColumn(complete_style='green', finished_style='yellow'), TimeElapsedColumn(), '[p... | <|body_start_0|>
def _default_message_on_done(task):
return f'{task.completed} steps done in {get_readable_time(seconds=task.finished_time)}'
columns = columns or [SpinnerColumn(), _OnDoneColumn(f'DONE', description, 'progress.description'), BarColumn(complete_style='green', finished_style='... | A progress bar made with rich. Example: .. highlight:: python .. code-block:: python with ProgressBar(100, 'loop') as p_bar: for i in range(100): do_busy() p_bar.update() | ProgressBar | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProgressBar:
"""A progress bar made with rich. Example: .. highlight:: python .. code-block:: python with ProgressBar(100, 'loop') as p_bar: for i in range(100): do_busy() p_bar.update()"""
def __init__(self, description: str='Working...', total_length: Optional[float]=None, message_on_done:... | stack_v2_sparse_classes_36k_train_020203 | 8,843 | permissive | [
{
"docstring": "Init a custom progress bar based on rich. This is the default progress bar of jina if you want to customize it you should probably just use a rich `Progress` and add your custom column and task :param description: description of your task ex : 'Working...' :param total_length: the number of step... | 2 | null | Implement the Python class `ProgressBar` described below.
Class description:
A progress bar made with rich. Example: .. highlight:: python .. code-block:: python with ProgressBar(100, 'loop') as p_bar: for i in range(100): do_busy() p_bar.update()
Method signatures and docstrings:
- def __init__(self, description: st... | Implement the Python class `ProgressBar` described below.
Class description:
A progress bar made with rich. Example: .. highlight:: python .. code-block:: python with ProgressBar(100, 'loop') as p_bar: for i in range(100): do_busy() p_bar.update()
Method signatures and docstrings:
- def __init__(self, description: st... | 23c7b8c78fc4ad67d16d83fc0c9f0eae9e935e71 | <|skeleton|>
class ProgressBar:
"""A progress bar made with rich. Example: .. highlight:: python .. code-block:: python with ProgressBar(100, 'loop') as p_bar: for i in range(100): do_busy() p_bar.update()"""
def __init__(self, description: str='Working...', total_length: Optional[float]=None, message_on_done:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProgressBar:
"""A progress bar made with rich. Example: .. highlight:: python .. code-block:: python with ProgressBar(100, 'loop') as p_bar: for i in range(100): do_busy() p_bar.update()"""
def __init__(self, description: str='Working...', total_length: Optional[float]=None, message_on_done: Optional[Uni... | the_stack_v2_python_sparse | jina/logging/profile.py | jina-ai/jina | train | 20,687 |
675ad4f30b9e3eade9e5f6fadef41448b785903e | [
"super(RandAugment, self).__init__()\nself.num_layers = num_layers\nself.magnitude = float(magnitude)\nself.cutout_const = float(cutout_const)\nself.translate_const = float(translate_const)\nself.available_ops = ['AutoContrast', 'Equalize', 'Invert', 'Rotate', 'Posterize', 'Solarize', 'Color', 'Contrast', 'Brightne... | <|body_start_0|>
super(RandAugment, self).__init__()
self.num_layers = num_layers
self.magnitude = float(magnitude)
self.cutout_const = float(cutout_const)
self.translate_const = float(translate_const)
self.available_ops = ['AutoContrast', 'Equalize', 'Invert', 'Rotate', ... | Applies the RandAugment policy to images. RandAugment is from the paper https://arxiv.org/abs/1909.13719, | RandAugment | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandAugment:
"""Applies the RandAugment policy to images. RandAugment is from the paper https://arxiv.org/abs/1909.13719,"""
def __init__(self, num_layers: int=2, magnitude: float=10.0, cutout_const: float=40.0, translate_const: float=100.0):
"""Applies the RandAugment policy to imag... | stack_v2_sparse_classes_36k_train_020204 | 34,821 | permissive | [
{
"docstring": "Applies the RandAugment policy to images. Args: num_layers: Integer, the number of augmentation transformations to apply sequentially to an image. Represented as (N) in the paper. Usually best values will be in the range [1, 3]. magnitude: Integer, shared magnitude across all augmentation operat... | 2 | null | Implement the Python class `RandAugment` described below.
Class description:
Applies the RandAugment policy to images. RandAugment is from the paper https://arxiv.org/abs/1909.13719,
Method signatures and docstrings:
- def __init__(self, num_layers: int=2, magnitude: float=10.0, cutout_const: float=40.0, translate_co... | Implement the Python class `RandAugment` described below.
Class description:
Applies the RandAugment policy to images. RandAugment is from the paper https://arxiv.org/abs/1909.13719,
Method signatures and docstrings:
- def __init__(self, num_layers: int=2, magnitude: float=10.0, cutout_const: float=40.0, translate_co... | a5388a45f71a949639b35cc5b990bd130d2d8164 | <|skeleton|>
class RandAugment:
"""Applies the RandAugment policy to images. RandAugment is from the paper https://arxiv.org/abs/1909.13719,"""
def __init__(self, num_layers: int=2, magnitude: float=10.0, cutout_const: float=40.0, translate_const: float=100.0):
"""Applies the RandAugment policy to imag... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandAugment:
"""Applies the RandAugment policy to images. RandAugment is from the paper https://arxiv.org/abs/1909.13719,"""
def __init__(self, num_layers: int=2, magnitude: float=10.0, cutout_const: float=40.0, translate_const: float=100.0):
"""Applies the RandAugment policy to images. Args: num... | the_stack_v2_python_sparse | TensorFlow2/Classification/ConvNets/dataloader/augment.py | NVIDIA/DeepLearningExamples | train | 11,838 |
7d3ee167cc029aed8b190f5d6ae14b07ae6a2449 | [
"if not jwt.validate_roles([COLIN_SVC_ROLE]):\n return (jsonify({'message': 'You are not authorized to update the colin id'}), HTTPStatus.UNAUTHORIZED)\nidentifiers = []\nbussinesses_no_taxid = Business.get_all_by_no_tax_id()\nfor business in bussinesses_no_taxid:\n identifiers.append(business.identifier)\nre... | <|body_start_0|>
if not jwt.validate_roles([COLIN_SVC_ROLE]):
return (jsonify({'message': 'You are not authorized to update the colin id'}), HTTPStatus.UNAUTHORIZED)
identifiers = []
bussinesses_no_taxid = Business.get_all_by_no_tax_id()
for business in bussinesses_no_taxid:
... | Internal information about businesses. | InternalBusinessResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InternalBusinessResource:
"""Internal information about businesses."""
def get():
"""Return all identifiers with no tax_id set that are supposed to have a tax_id. Excludes COOPS because they do not get a tax id/business number. Excludes SP/GP we don't sync firm to colin and we use en... | stack_v2_sparse_classes_36k_train_020205 | 3,008 | permissive | [
{
"docstring": "Return all identifiers with no tax_id set that are supposed to have a tax_id. Excludes COOPS because they do not get a tax id/business number. Excludes SP/GP we don't sync firm to colin and we use entity-bn to get tax id/business number.",
"name": "get",
"signature": "def get()"
},
{... | 2 | stack_v2_sparse_classes_30k_train_010710 | Implement the Python class `InternalBusinessResource` described below.
Class description:
Internal information about businesses.
Method signatures and docstrings:
- def get(): Return all identifiers with no tax_id set that are supposed to have a tax_id. Excludes COOPS because they do not get a tax id/business number.... | Implement the Python class `InternalBusinessResource` described below.
Class description:
Internal information about businesses.
Method signatures and docstrings:
- def get(): Return all identifiers with no tax_id set that are supposed to have a tax_id. Excludes COOPS because they do not get a tax id/business number.... | d90f11a7b14411b02c07fe97d2c1fc31cd4a9b32 | <|skeleton|>
class InternalBusinessResource:
"""Internal information about businesses."""
def get():
"""Return all identifiers with no tax_id set that are supposed to have a tax_id. Excludes COOPS because they do not get a tax id/business number. Excludes SP/GP we don't sync firm to colin and we use en... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InternalBusinessResource:
"""Internal information about businesses."""
def get():
"""Return all identifiers with no tax_id set that are supposed to have a tax_id. Excludes COOPS because they do not get a tax id/business number. Excludes SP/GP we don't sync firm to colin and we use entity-bn to ge... | the_stack_v2_python_sparse | legal-api/src/legal_api/resources/v1/business/internal_services.py | bcgov/lear | train | 13 |
28feb96e7d4d5f465e41ecd6ce200234293caae8 | [
"try:\n if not self.plugin.all_required_connections_connected:\n self.plugin.raise_missing_inputs()\n if not self.plugin.initialized:\n self.plugin.initialize_plugin()\n self.plugin.initialized = True\n if not self.plugin.failure_occurred:\n self.plugin.initialize_connection(con... | <|body_start_0|>
try:
if not self.plugin.all_required_connections_connected:
self.plugin.raise_missing_inputs()
if not self.plugin.initialized:
self.plugin.initialize_plugin()
self.plugin.initialized = True
if not self.plugin.fa... | Callback strategy for workflow runs. | WorkflowRunConnectionCallbackStrategy | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WorkflowRunConnectionCallbackStrategy:
"""Callback strategy for workflow runs."""
def connection_initialized_callback(self, connection: ConnectionInterface, **_: Any) -> None:
"""Run callback for connection initialization."""
<|body_0|>
def record_received_callback(self,... | stack_v2_sparse_classes_36k_train_020206 | 5,104 | permissive | [
{
"docstring": "Run callback for connection initialization.",
"name": "connection_initialized_callback",
"signature": "def connection_initialized_callback(self, connection: ConnectionInterface, **_: Any) -> None"
},
{
"docstring": "Process single records by batch size.",
"name": "record_rece... | 3 | stack_v2_sparse_classes_30k_test_001064 | Implement the Python class `WorkflowRunConnectionCallbackStrategy` described below.
Class description:
Callback strategy for workflow runs.
Method signatures and docstrings:
- def connection_initialized_callback(self, connection: ConnectionInterface, **_: Any) -> None: Run callback for connection initialization.
- de... | Implement the Python class `WorkflowRunConnectionCallbackStrategy` described below.
Class description:
Callback strategy for workflow runs.
Method signatures and docstrings:
- def connection_initialized_callback(self, connection: ConnectionInterface, **_: Any) -> None: Run callback for connection initialization.
- de... | 16533e22e3cbe36621328d94500a6e58ec0c73ea | <|skeleton|>
class WorkflowRunConnectionCallbackStrategy:
"""Callback strategy for workflow runs."""
def connection_initialized_callback(self, connection: ConnectionInterface, **_: Any) -> None:
"""Run callback for connection initialization."""
<|body_0|>
def record_received_callback(self,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WorkflowRunConnectionCallbackStrategy:
"""Callback strategy for workflow runs."""
def connection_initialized_callback(self, connection: ConnectionInterface, **_: Any) -> None:
"""Run callback for connection initialization."""
try:
if not self.plugin.all_required_connections_co... | the_stack_v2_python_sparse | ayx_blackbird/core/connection_callback_strategy.py | dme722/ayx-blackbird | train | 14 |
fd94796047c557b42d455180121d18b4c96ee72f | [
"from scoop.content.models.content import Content\nuuid = self.value\nstyle = self.kwargs.get('style', 'link')\ncontents = Content.objects.visible().filter(uuid=uuid)\ncontent = contents[0] if contents.exists() else None\nreturn {'content': content, 'style': style}",
"base = super(ContentInline, self).get_templat... | <|body_start_0|>
from scoop.content.models.content import Content
uuid = self.value
style = self.kwargs.get('style', 'link')
contents = Content.objects.visible().filter(uuid=uuid)
content = contents[0] if contents.exists() else None
return {'content': content, 'style': st... | Inline d'insertion de contenus Format : {{content uuid [style=stylename]}} Exemple : {{content identifier style="link"}} | ContentInline | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContentInline:
"""Inline d'insertion de contenus Format : {{content uuid [style=stylename]}} Exemple : {{content identifier style="link"}}"""
def get_context(self):
"""Renvoyer un contexte pour le rendu de l'inline"""
<|body_0|>
def get_template_name(self):
"""Re... | stack_v2_sparse_classes_36k_train_020207 | 6,816 | no_license | [
{
"docstring": "Renvoyer un contexte pour le rendu de l'inline",
"name": "get_context",
"signature": "def get_context(self)"
},
{
"docstring": "Renvoyer le chemin du template",
"name": "get_template_name",
"signature": "def get_template_name(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000412 | Implement the Python class `ContentInline` described below.
Class description:
Inline d'insertion de contenus Format : {{content uuid [style=stylename]}} Exemple : {{content identifier style="link"}}
Method signatures and docstrings:
- def get_context(self): Renvoyer un contexte pour le rendu de l'inline
- def get_te... | Implement the Python class `ContentInline` described below.
Class description:
Inline d'insertion de contenus Format : {{content uuid [style=stylename]}} Exemple : {{content identifier style="link"}}
Method signatures and docstrings:
- def get_context(self): Renvoyer un contexte pour le rendu de l'inline
- def get_te... | 8cef6f6e89c1990e2b25f83e54e0c3481d83b6d7 | <|skeleton|>
class ContentInline:
"""Inline d'insertion de contenus Format : {{content uuid [style=stylename]}} Exemple : {{content identifier style="link"}}"""
def get_context(self):
"""Renvoyer un contexte pour le rendu de l'inline"""
<|body_0|>
def get_template_name(self):
"""Re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ContentInline:
"""Inline d'insertion de contenus Format : {{content uuid [style=stylename]}} Exemple : {{content identifier style="link"}}"""
def get_context(self):
"""Renvoyer un contexte pour le rendu de l'inline"""
from scoop.content.models.content import Content
uuid = self.va... | the_stack_v2_python_sparse | scoop/content/util/inlines.py | artscoop/scoop | train | 0 |
cd925eff3cbd9ad5d9a16f17279d7cab57166259 | [
"self._attr_name = name\nself._code = code\nself._mode = mode\nself._url = url\nself._alarm = concord232_client.Client(self._url)\nself._alarm.partitions = self._alarm.list_partitions()",
"try:\n part = self._alarm.list_partitions()[0]\nexcept requests.exceptions.ConnectionError as ex:\n _LOGGER.error('Unab... | <|body_start_0|>
self._attr_name = name
self._code = code
self._mode = mode
self._url = url
self._alarm = concord232_client.Client(self._url)
self._alarm.partitions = self._alarm.list_partitions()
<|end_body_0|>
<|body_start_1|>
try:
part = self._alar... | Representation of the Concord232-based alarm panel. | Concord232Alarm | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Concord232Alarm:
"""Representation of the Concord232-based alarm panel."""
def __init__(self, url, name, code, mode):
"""Initialize the Concord232 alarm panel."""
<|body_0|>
def update(self) -> None:
"""Update values from API."""
<|body_1|>
def alarm... | stack_v2_sparse_classes_36k_train_020208 | 4,646 | permissive | [
{
"docstring": "Initialize the Concord232 alarm panel.",
"name": "__init__",
"signature": "def __init__(self, url, name, code, mode)"
},
{
"docstring": "Update values from API.",
"name": "update",
"signature": "def update(self) -> None"
},
{
"docstring": "Send disarm command.",
... | 6 | null | Implement the Python class `Concord232Alarm` described below.
Class description:
Representation of the Concord232-based alarm panel.
Method signatures and docstrings:
- def __init__(self, url, name, code, mode): Initialize the Concord232 alarm panel.
- def update(self) -> None: Update values from API.
- def alarm_dis... | Implement the Python class `Concord232Alarm` described below.
Class description:
Representation of the Concord232-based alarm panel.
Method signatures and docstrings:
- def __init__(self, url, name, code, mode): Initialize the Concord232 alarm panel.
- def update(self) -> None: Update values from API.
- def alarm_dis... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class Concord232Alarm:
"""Representation of the Concord232-based alarm panel."""
def __init__(self, url, name, code, mode):
"""Initialize the Concord232 alarm panel."""
<|body_0|>
def update(self) -> None:
"""Update values from API."""
<|body_1|>
def alarm... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Concord232Alarm:
"""Representation of the Concord232-based alarm panel."""
def __init__(self, url, name, code, mode):
"""Initialize the Concord232 alarm panel."""
self._attr_name = name
self._code = code
self._mode = mode
self._url = url
self._alarm = conco... | the_stack_v2_python_sparse | homeassistant/components/concord232/alarm_control_panel.py | home-assistant/core | train | 35,501 |
aa7d5a9ed75cd67ceb0449e7ba15b5592f61ec03 | [
"ret = s[-1]\nfor j in range(len(s) - 2, -1, -1):\n if ord(s[j]) < ord(ret[0]):\n pass\n elif ord(s[j]) > ord(ret[0]):\n ret = s[j:]\n else:\n update = False\n for i in range(1, len(ret)):\n if ord(s[j + i]) > ord(ret[i]):\n ret = s[j:]\n ... | <|body_start_0|>
ret = s[-1]
for j in range(len(s) - 2, -1, -1):
if ord(s[j]) < ord(ret[0]):
pass
elif ord(s[j]) > ord(ret[0]):
ret = s[j:]
else:
update = False
for i in range(1, len(ret)):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lastSubstring_timeout(self, s: str) -> str:
"""Time-out."""
<|body_0|>
def lastSubstring_timeout2(self, s: str) -> str:
"""Time-out."""
<|body_1|>
def lastSubstring(self, s: str) -> str:
"""official solution."""
<|body_2|>
... | stack_v2_sparse_classes_36k_train_020209 | 2,949 | no_license | [
{
"docstring": "Time-out.",
"name": "lastSubstring_timeout",
"signature": "def lastSubstring_timeout(self, s: str) -> str"
},
{
"docstring": "Time-out.",
"name": "lastSubstring_timeout2",
"signature": "def lastSubstring_timeout2(self, s: str) -> str"
},
{
"docstring": "official s... | 3 | stack_v2_sparse_classes_30k_train_000056 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastSubstring_timeout(self, s: str) -> str: Time-out.
- def lastSubstring_timeout2(self, s: str) -> str: Time-out.
- def lastSubstring(self, s: str) -> str: official solution... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastSubstring_timeout(self, s: str) -> str: Time-out.
- def lastSubstring_timeout2(self, s: str) -> str: Time-out.
- def lastSubstring(self, s: str) -> str: official solution... | 1007197ff0feda35001c0aaf13382af6869869b2 | <|skeleton|>
class Solution:
def lastSubstring_timeout(self, s: str) -> str:
"""Time-out."""
<|body_0|>
def lastSubstring_timeout2(self, s: str) -> str:
"""Time-out."""
<|body_1|>
def lastSubstring(self, s: str) -> str:
"""official solution."""
<|body_2|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def lastSubstring_timeout(self, s: str) -> str:
"""Time-out."""
ret = s[-1]
for j in range(len(s) - 2, -1, -1):
if ord(s[j]) < ord(ret[0]):
pass
elif ord(s[j]) > ord(ret[0]):
ret = s[j:]
else:
... | the_stack_v2_python_sparse | No1163. Last Substring in Lexicographical Order.py | chenxy3791/leetcode | train | 0 | |
eef931d2963599de3cceb805614f7fc79c9b8a86 | [
"i = 0\nfor j in range(1, len(nums)):\n if nums[j] != nums[j - 1]:\n nums[i + 1] = nums[j]\n i += 1\n j += 1\nreturn i + 1",
"i = 0\nfor num in nums[1:]:\n if nums[i] != num:\n i += 1\n nums[i] = num\nreturn i + 1"
] | <|body_start_0|>
i = 0
for j in range(1, len(nums)):
if nums[j] != nums[j - 1]:
nums[i + 1] = nums[j]
i += 1
j += 1
return i + 1
<|end_body_0|>
<|body_start_1|>
i = 0
for num in nums[1:]:
if nums[i] != num:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeDuplicatesV1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
i = 0
for j in range(1, l... | stack_v2_sparse_classes_36k_train_020210 | 587 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "removeDuplicatesV1",
"signature": "def removeDuplicatesV1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "removeDuplicates",
"signature": "def removeDuplicates(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeDuplicatesV1(self, nums): :type nums: List[int] :rtype: int
- def removeDuplicates(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeDuplicatesV1(self, nums): :type nums: List[int] :rtype: int
- def removeDuplicates(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def... | 057ed5c6fe19268f36a1d5051d27b07aae0b63e0 | <|skeleton|>
class Solution:
def removeDuplicatesV1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def removeDuplicatesV1(self, nums):
""":type nums: List[int] :rtype: int"""
i = 0
for j in range(1, len(nums)):
if nums[j] != nums[j - 1]:
nums[i + 1] = nums[j]
i += 1
j += 1
return i + 1
def removeDuplicate... | the_stack_v2_python_sparse | 2020/2020-01/23/eugene.py | wavetogether/wave_algorithm_challenge | train | 3 | |
288c11ad1b4f875bbeb199bc49397a132f52b121 | [
"super().__init__(session_factory)\nself.coin_category = 'BTC'\nself.chain_api = BtcOP(config)",
"now = datetime.datetime.now()\naccount_name = '{}_{}_{}_{}'.format(self.coin_category, now.strftime('%Y%m%d'), cnt, now.timestamp())\nret = copy.deepcopy(self._address_template)\nret['account'] = account_name\npub_ad... | <|body_start_0|>
super().__init__(session_factory)
self.coin_category = 'BTC'
self.chain_api = BtcOP(config)
<|end_body_0|>
<|body_start_1|>
now = datetime.datetime.now()
account_name = '{}_{}_{}_{}'.format(self.coin_category, now.strftime('%Y%m%d'), cnt, now.timestamp())
... | BtcManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BtcManager:
def __init__(self, session_factory):
""":param session_factory: mysql_session_maker"""
<|body_0|>
def generate_address(self, cnt: int) -> dict:
"""产生比特币地址账户 :param cnt: 编号 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().... | stack_v2_sparse_classes_36k_train_020211 | 1,363 | no_license | [
{
"docstring": ":param session_factory: mysql_session_maker",
"name": "__init__",
"signature": "def __init__(self, session_factory)"
},
{
"docstring": "产生比特币地址账户 :param cnt: 编号 :return:",
"name": "generate_address",
"signature": "def generate_address(self, cnt: int) -> dict"
}
] | 2 | null | Implement the Python class `BtcManager` described below.
Class description:
Implement the BtcManager class.
Method signatures and docstrings:
- def __init__(self, session_factory): :param session_factory: mysql_session_maker
- def generate_address(self, cnt: int) -> dict: 产生比特币地址账户 :param cnt: 编号 :return: | Implement the Python class `BtcManager` described below.
Class description:
Implement the BtcManager class.
Method signatures and docstrings:
- def __init__(self, session_factory): :param session_factory: mysql_session_maker
- def generate_address(self, cnt: int) -> dict: 产生比特币地址账户 :param cnt: 编号 :return:
<|skeleton... | 4ddca9c77c2361a8b9f0a708353809449094137d | <|skeleton|>
class BtcManager:
def __init__(self, session_factory):
""":param session_factory: mysql_session_maker"""
<|body_0|>
def generate_address(self, cnt: int) -> dict:
"""产生比特币地址账户 :param cnt: 编号 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BtcManager:
def __init__(self, session_factory):
""":param session_factory: mysql_session_maker"""
super().__init__(session_factory)
self.coin_category = 'BTC'
self.chain_api = BtcOP(config)
def generate_address(self, cnt: int) -> dict:
"""产生比特币地址账户 :param cnt: 编号 ... | the_stack_v2_python_sparse | source/common/address_manager/btc.py | buyongji/wallet | train | 1 | |
9dec40dadc125caeb3f504abbcc62bbf2645d2c3 | [
"vertex = set(range(1, N + 1))\nedge_out = []\nedge_in = []\nfor vo, vi in trust:\n edge_out.append(vo)\n edge_in.append(vi)\nedge_zero_outdegree = vertex.difference(edge_out)\nif len(edge_zero_outdegree) == 1:\n town_judge = edge_zero_outdegree.pop()\nelse:\n return -1\nif edge_in.count(town_judge) == ... | <|body_start_0|>
vertex = set(range(1, N + 1))
edge_out = []
edge_in = []
for vo, vi in trust:
edge_out.append(vo)
edge_in.append(vi)
edge_zero_outdegree = vertex.difference(edge_out)
if len(edge_zero_outdegree) == 1:
town_judge = edge_... | Solution | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findJudge(self, N, trust):
"""direct modelling a graph"""
<|body_0|>
def findJudge2(self, N, trust):
"""calculate deg_diff = in_deg - out_dig"""
<|body_1|>
def findJudge3(self, N, trust):
"""calculate indegree firstly by adjacency m... | stack_v2_sparse_classes_36k_train_020212 | 2,581 | permissive | [
{
"docstring": "direct modelling a graph",
"name": "findJudge",
"signature": "def findJudge(self, N, trust)"
},
{
"docstring": "calculate deg_diff = in_deg - out_dig",
"name": "findJudge2",
"signature": "def findJudge2(self, N, trust)"
},
{
"docstring": "calculate indegree firstl... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findJudge(self, N, trust): direct modelling a graph
- def findJudge2(self, N, trust): calculate deg_diff = in_deg - out_dig
- def findJudge3(self, N, trust): calculate indegr... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findJudge(self, N, trust): direct modelling a graph
- def findJudge2(self, N, trust): calculate deg_diff = in_deg - out_dig
- def findJudge3(self, N, trust): calculate indegr... | 49a0b03c55d8a702785888d473ef96539265ce9c | <|skeleton|>
class Solution:
def findJudge(self, N, trust):
"""direct modelling a graph"""
<|body_0|>
def findJudge2(self, N, trust):
"""calculate deg_diff = in_deg - out_dig"""
<|body_1|>
def findJudge3(self, N, trust):
"""calculate indegree firstly by adjacency m... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findJudge(self, N, trust):
"""direct modelling a graph"""
vertex = set(range(1, N + 1))
edge_out = []
edge_in = []
for vo, vi in trust:
edge_out.append(vo)
edge_in.append(vi)
edge_zero_outdegree = vertex.difference(edge_out)... | the_stack_v2_python_sparse | leetcode/0997_find_the_town_judge.py | chaosWsF/Python-Practice | train | 1 | |
25bef5ffaa3f22181dd0a148508b3d2c329959c8 | [
"char_indexes = collections.defaultdict(list)\nfor idx, char in enumerate(S):\n char_indexes[char].append(idx)\nans = 0\nN = len(S)\nfor word in words:\n flag = 1\n idx_prev = -1\n for char in word:\n i = bisect.bisect_right(char_indexes[char], idx_prev)\n if i == len(char_indexes[char]):\... | <|body_start_0|>
char_indexes = collections.defaultdict(list)
for idx, char in enumerate(S):
char_indexes[char].append(idx)
ans = 0
N = len(S)
for word in words:
flag = 1
idx_prev = -1
for char in word:
i = bisect.bi... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numMatchingSubseq(self, S: str, words: List[str]) -> int:
"""1. store the indexes of all chars in ascending order 2. given a query word "...xy...", the index that y appears in S should be larger than the index appears in S 3. scan the word char by char, and for the current ... | stack_v2_sparse_classes_36k_train_020213 | 2,382 | no_license | [
{
"docstring": "1. store the indexes of all chars in ascending order 2. given a query word \"...xy...\", the index that y appears in S should be larger than the index appears in S 3. scan the word char by char, and for the current char x record the smallest index it appears in S called i_x, for the next char y,... | 2 | stack_v2_sparse_classes_30k_train_001938 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numMatchingSubseq(self, S: str, words: List[str]) -> int: 1. store the indexes of all chars in ascending order 2. given a query word "...xy...", the index that y appears in S... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numMatchingSubseq(self, S: str, words: List[str]) -> int: 1. store the indexes of all chars in ascending order 2. given a query word "...xy...", the index that y appears in S... | 6ff1941ff213a843013100ac7033e2d4f90fbd6a | <|skeleton|>
class Solution:
def numMatchingSubseq(self, S: str, words: List[str]) -> int:
"""1. store the indexes of all chars in ascending order 2. given a query word "...xy...", the index that y appears in S should be larger than the index appears in S 3. scan the word char by char, and for the current ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numMatchingSubseq(self, S: str, words: List[str]) -> int:
"""1. store the indexes of all chars in ascending order 2. given a query word "...xy...", the index that y appears in S should be larger than the index appears in S 3. scan the word char by char, and for the current char x record ... | the_stack_v2_python_sparse | Leetcode 0792. Number of Matching Subsequences.py | Chaoran-sjsu/leetcode | train | 0 | |
0c3c1cd131a9b48e3fb2161f5c4ba03364623892 | [
"self.copy_only_backup = copy_only_backup\nself.disable_metadata = disable_metadata\nself.disable_notification = disable_notification\nself.excluded_vss_writers = excluded_vss_writers",
"if dictionary is None:\n return None\ncopy_only_backup = dictionary.get('copyOnlyBackup')\ndisable_metadata = dictionary.get... | <|body_start_0|>
self.copy_only_backup = copy_only_backup
self.disable_metadata = disable_metadata
self.disable_notification = disable_notification
self.excluded_vss_writers = excluded_vss_writers
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
... | Implementation of the 'WindowsHostSnapshotParameters' model. Specifies settings that are meaningful only on Windows hosts. Attributes: copy_only_backup (bool): Specifies whether to backup regardless of the state of each file's backup history. Backup history will not be updated. Refer Microsoft documentation on VSS_BT_C... | WindowsHostSnapshotParameters | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowsHostSnapshotParameters:
"""Implementation of the 'WindowsHostSnapshotParameters' model. Specifies settings that are meaningful only on Windows hosts. Attributes: copy_only_backup (bool): Specifies whether to backup regardless of the state of each file's backup history. Backup history will ... | stack_v2_sparse_classes_36k_train_020214 | 2,957 | permissive | [
{
"docstring": "Constructor for the WindowsHostSnapshotParameters class",
"name": "__init__",
"signature": "def __init__(self, copy_only_backup=None, disable_metadata=None, disable_notification=None, excluded_vss_writers=None)"
},
{
"docstring": "Creates an instance of this model from a dictiona... | 2 | stack_v2_sparse_classes_30k_train_018255 | Implement the Python class `WindowsHostSnapshotParameters` described below.
Class description:
Implementation of the 'WindowsHostSnapshotParameters' model. Specifies settings that are meaningful only on Windows hosts. Attributes: copy_only_backup (bool): Specifies whether to backup regardless of the state of each file... | Implement the Python class `WindowsHostSnapshotParameters` described below.
Class description:
Implementation of the 'WindowsHostSnapshotParameters' model. Specifies settings that are meaningful only on Windows hosts. Attributes: copy_only_backup (bool): Specifies whether to backup regardless of the state of each file... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class WindowsHostSnapshotParameters:
"""Implementation of the 'WindowsHostSnapshotParameters' model. Specifies settings that are meaningful only on Windows hosts. Attributes: copy_only_backup (bool): Specifies whether to backup regardless of the state of each file's backup history. Backup history will ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WindowsHostSnapshotParameters:
"""Implementation of the 'WindowsHostSnapshotParameters' model. Specifies settings that are meaningful only on Windows hosts. Attributes: copy_only_backup (bool): Specifies whether to backup regardless of the state of each file's backup history. Backup history will not be update... | the_stack_v2_python_sparse | cohesity_management_sdk/models/windows_host_snapshot_parameters.py | cohesity/management-sdk-python | train | 24 |
334293a772a2a72baeeaaecdc4d7039d8ec914c9 | [
"self.name = name\nself.index = index\nself.start = start[0]\nself.end = end[0]\nself.start_sub = start[1] if len(start) > 1 else False\nself.end_sub = end[1] if len(end) > 1 else False\nself.export = export_names.get(self.name, self.name)\nself.is_header = is_header\nself.node = None\nself.overlap_id = None",
"i... | <|body_start_0|>
self.name = name
self.index = index
self.start = start[0]
self.end = end[0]
self.start_sub = start[1] if len(start) > 1 else False
self.end_sub = end[1] if len(end) > 1 else False
self.export = export_names.get(self.name, self.name)
self.i... | Object to store span information. | Span | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Span:
"""Object to store span information."""
def __init__(self, name, index, start, end, export_names, is_header):
"""Set attributes."""
<|body_0|>
def set_node(self, parent_node=None):
"""Create an XML node under parent_node."""
<|body_1|>
def __re... | stack_v2_sparse_classes_36k_train_020215 | 32,149 | permissive | [
{
"docstring": "Set attributes.",
"name": "__init__",
"signature": "def __init__(self, name, index, start, end, export_names, is_header)"
},
{
"docstring": "Create an XML node under parent_node.",
"name": "set_node",
"signature": "def set_node(self, parent_node=None)"
},
{
"docst... | 4 | stack_v2_sparse_classes_30k_train_001995 | Implement the Python class `Span` described below.
Class description:
Object to store span information.
Method signatures and docstrings:
- def __init__(self, name, index, start, end, export_names, is_header): Set attributes.
- def set_node(self, parent_node=None): Create an XML node under parent_node.
- def __repr__... | Implement the Python class `Span` described below.
Class description:
Object to store span information.
Method signatures and docstrings:
- def __init__(self, name, index, start, end, export_names, is_header): Set attributes.
- def set_node(self, parent_node=None): Create an XML node under parent_node.
- def __repr__... | d3eb0db9de7fca6b6945192dd7f0c9e4bbeebb55 | <|skeleton|>
class Span:
"""Object to store span information."""
def __init__(self, name, index, start, end, export_names, is_header):
"""Set attributes."""
<|body_0|>
def set_node(self, parent_node=None):
"""Create an XML node under parent_node."""
<|body_1|>
def __re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Span:
"""Object to store span information."""
def __init__(self, name, index, start, end, export_names, is_header):
"""Set attributes."""
self.name = name
self.index = index
self.start = start[0]
self.end = end[0]
self.start_sub = start[1] if len(start) > 1... | the_stack_v2_python_sparse | sparv/api/util/export.py | spraakbanken/sparv-pipeline | train | 22 |
ec5517594e60598716c98dedc1bda0ca3150ead9 | [
"mem = {}\nwords = {w for w in wordDict}\n\ndef dfs(s):\n if s in mem:\n return mem[s]\n for i in range(0, len(s)):\n mem[s[0:i]] = dfs(s[0:i])\n if mem[s[0:i]] and s[i:len(s)] in words:\n return True\n return False\nreturn dfs(s)",
"words = {w for w in wordDict}\nOK = [Fa... | <|body_start_0|>
mem = {}
words = {w for w in wordDict}
def dfs(s):
if s in mem:
return mem[s]
for i in range(0, len(s)):
mem[s[0:i]] = dfs(s[0:i])
if mem[s[0:i]] and s[i:len(s)] in words:
return True
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def wordBreak(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
<|body_0|>
def wordBreak2(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_020216 | 1,062 | no_license | [
{
"docstring": ":type s: str :type wordDict: List[str] :rtype: bool",
"name": "wordBreak",
"signature": "def wordBreak(self, s, wordDict)"
},
{
"docstring": ":type s: str :type wordDict: List[str] :rtype: bool",
"name": "wordBreak2",
"signature": "def wordBreak2(self, s, wordDict)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000931 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: bool
- def wordBreak2(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: bool
- def wordBreak2(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: bool
<|... | 0fc972e5cd2baf1b5ddf8b192962629f40bc3bf4 | <|skeleton|>
class Solution:
def wordBreak(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
<|body_0|>
def wordBreak2(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def wordBreak(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
mem = {}
words = {w for w in wordDict}
def dfs(s):
if s in mem:
return mem[s]
for i in range(0, len(s)):
mem[s[0:i]] = ... | the_stack_v2_python_sparse | problems/139. Word Break.py | yukiii-zhong/Leetcode | train | 2 | |
71bdc1caf1d9eae962a78a5f1770ec33419b3a3f | [
"self._bulb = bulb\nself._attr_available = False\nself._attr_unique_id = mac\nself._attr_hs_color = (0, 0)\nself._attr_device_info = DeviceInfo(identifiers={(DOMAIN, mac)}, name=name, manufacturer=MANUFACTURER, sw_version=self._bulb.firmware)",
"brightness = kwargs.get(ATTR_BRIGHTNESS, 255)\neffect = kwargs.get(A... | <|body_start_0|>
self._bulb = bulb
self._attr_available = False
self._attr_unique_id = mac
self._attr_hs_color = (0, 0)
self._attr_device_info = DeviceInfo(identifiers={(DOMAIN, mac)}, name=name, manufacturer=MANUFACTURER, sw_version=self._bulb.firmware)
<|end_body_0|>
<|body_st... | Representation of the myStrom WiFi bulb. | MyStromLight | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyStromLight:
"""Representation of the myStrom WiFi bulb."""
def __init__(self, bulb, name, mac):
"""Initialize the light."""
<|body_0|>
async def async_turn_on(self, **kwargs: Any) -> None:
"""Turn on the light."""
<|body_1|>
async def async_turn_of... | stack_v2_sparse_classes_36k_train_020217 | 5,342 | permissive | [
{
"docstring": "Initialize the light.",
"name": "__init__",
"signature": "def __init__(self, bulb, name, mac)"
},
{
"docstring": "Turn on the light.",
"name": "async_turn_on",
"signature": "async def async_turn_on(self, **kwargs: Any) -> None"
},
{
"docstring": "Turn off the bulb... | 4 | null | Implement the Python class `MyStromLight` described below.
Class description:
Representation of the myStrom WiFi bulb.
Method signatures and docstrings:
- def __init__(self, bulb, name, mac): Initialize the light.
- async def async_turn_on(self, **kwargs: Any) -> None: Turn on the light.
- async def async_turn_off(se... | Implement the Python class `MyStromLight` described below.
Class description:
Representation of the myStrom WiFi bulb.
Method signatures and docstrings:
- def __init__(self, bulb, name, mac): Initialize the light.
- async def async_turn_on(self, **kwargs: Any) -> None: Turn on the light.
- async def async_turn_off(se... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class MyStromLight:
"""Representation of the myStrom WiFi bulb."""
def __init__(self, bulb, name, mac):
"""Initialize the light."""
<|body_0|>
async def async_turn_on(self, **kwargs: Any) -> None:
"""Turn on the light."""
<|body_1|>
async def async_turn_of... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyStromLight:
"""Representation of the myStrom WiFi bulb."""
def __init__(self, bulb, name, mac):
"""Initialize the light."""
self._bulb = bulb
self._attr_available = False
self._attr_unique_id = mac
self._attr_hs_color = (0, 0)
self._attr_device_info = Dev... | the_stack_v2_python_sparse | homeassistant/components/mystrom/light.py | home-assistant/core | train | 35,501 |
d44bebf2262a95c1571c2393768b4c22004f2fc0 | [
"result = empty_result()\nresult['data'] = {'linknets': []}\nwith sqla_session() as session:\n instance = session.query(Linknet).filter(Linknet.id == linknet_id).one_or_none()\n if instance:\n result['data']['linknets'].append(instance.as_dict())\n else:\n return (empty_result('error', 'Linkn... | <|body_start_0|>
result = empty_result()
result['data'] = {'linknets': []}
with sqla_session() as session:
instance = session.query(Linknet).filter(Linknet.id == linknet_id).one_or_none()
if instance:
result['data']['linknets'].append(instance.as_dict())
... | LinknetByIdApi | [
"BSD-2-Clause-Views",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinknetByIdApi:
def get(self, linknet_id):
"""Get a single specified linknet"""
<|body_0|>
def delete(self, linknet_id):
"""Remove a linknet"""
<|body_1|>
def put(self, linknet_id):
"""Update data on existing linknet"""
<|body_2|>
<|end_... | stack_v2_sparse_classes_36k_train_020218 | 11,188 | permissive | [
{
"docstring": "Get a single specified linknet",
"name": "get",
"signature": "def get(self, linknet_id)"
},
{
"docstring": "Remove a linknet",
"name": "delete",
"signature": "def delete(self, linknet_id)"
},
{
"docstring": "Update data on existing linknet",
"name": "put",
... | 3 | stack_v2_sparse_classes_30k_train_008446 | Implement the Python class `LinknetByIdApi` described below.
Class description:
Implement the LinknetByIdApi class.
Method signatures and docstrings:
- def get(self, linknet_id): Get a single specified linknet
- def delete(self, linknet_id): Remove a linknet
- def put(self, linknet_id): Update data on existing linkne... | Implement the Python class `LinknetByIdApi` described below.
Class description:
Implement the LinknetByIdApi class.
Method signatures and docstrings:
- def get(self, linknet_id): Get a single specified linknet
- def delete(self, linknet_id): Remove a linknet
- def put(self, linknet_id): Update data on existing linkne... | d755dfed69bebe0c7bea66ad1802cba2cd89fec8 | <|skeleton|>
class LinknetByIdApi:
def get(self, linknet_id):
"""Get a single specified linknet"""
<|body_0|>
def delete(self, linknet_id):
"""Remove a linknet"""
<|body_1|>
def put(self, linknet_id):
"""Update data on existing linknet"""
<|body_2|>
<|end_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LinknetByIdApi:
def get(self, linknet_id):
"""Get a single specified linknet"""
result = empty_result()
result['data'] = {'linknets': []}
with sqla_session() as session:
instance = session.query(Linknet).filter(Linknet.id == linknet_id).one_or_none()
if ... | the_stack_v2_python_sparse | src/cnaas_nms/api/linknet.py | SUNET/cnaas-nms | train | 67 | |
15297ba52e6b0e0daecf1743890059a7c2088174 | [
"assert isinstance(name, str), 'Invalid name %s' % name\nassert isinstance(description, str), 'Invalid description %s' % description\nself.name = name.strip()\nself.description = description.strip()\nself._rights = {}\nself._defaults = []",
"if isinstance(names, str):\n names = (names,)\nassert isinstance(name... | <|body_start_0|>
assert isinstance(name, str), 'Invalid name %s' % name
assert isinstance(description, str), 'Invalid description %s' % description
self.name = name.strip()
self.description = description.strip()
self._rights = {}
self._defaults = []
<|end_body_0|>
<|body... | The ACL type model. | TypeAcl | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TypeAcl:
"""The ACL type model."""
def __init__(self, name, description):
"""Construct the type model. @param name: string The type name. @param description: string The description for the type."""
<|body_0|>
def rightsFor(self, names):
"""Provides the rights for... | stack_v2_sparse_classes_36k_train_020219 | 5,791 | no_license | [
{
"docstring": "Construct the type model. @param name: string The type name. @param description: string The description for the type.",
"name": "__init__",
"signature": "def __init__(self, name, description)"
},
{
"docstring": "Provides the rights for the provided name(s). @param names: string|I... | 4 | stack_v2_sparse_classes_30k_train_017166 | Implement the Python class `TypeAcl` described below.
Class description:
The ACL type model.
Method signatures and docstrings:
- def __init__(self, name, description): Construct the type model. @param name: string The type name. @param description: string The description for the type.
- def rightsFor(self, names): Pr... | Implement the Python class `TypeAcl` described below.
Class description:
The ACL type model.
Method signatures and docstrings:
- def __init__(self, name, description): Construct the type model. @param name: string The type name. @param description: string The description for the type.
- def rightsFor(self, names): Pr... | a10cb774c8cbc5010950eed9342413846734fea7 | <|skeleton|>
class TypeAcl:
"""The ACL type model."""
def __init__(self, name, description):
"""Construct the type model. @param name: string The type name. @param description: string The description for the type."""
<|body_0|>
def rightsFor(self, names):
"""Provides the rights for... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TypeAcl:
"""The ACL type model."""
def __init__(self, name, description):
"""Construct the type model. @param name: string The type name. @param description: string The description for the type."""
assert isinstance(name, str), 'Invalid name %s' % name
assert isinstance(descriptio... | the_stack_v2_python_sparse | plugins/support-acl/acl/spec.py | bonomali/Ally-Py | train | 0 |
092bdb9a602ae0f2f00413fa5729592b6f90b7ca | [
"query = typeFor(self)\nassert isinstance(query, TypeQuery), 'Invalid query %s' % self\nfor name, value in keyargs.items():\n if name not in query.properties:\n raise ValueError(\"Invalid criteria name '%s' for %s\" % (name, query))\n setattr(self, name, value)",
"entry = typeFor(ref)\nif not isinsta... | <|body_start_0|>
query = typeFor(self)
assert isinstance(query, TypeQuery), 'Invalid query %s' % self
for name, value in keyargs.items():
if name not in query.properties:
raise ValueError("Invalid criteria name '%s' for %s" % (name, query))
setattr(self, n... | Support class for queries. | Query | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Query:
"""Support class for queries."""
def __init__(self, **keyargs):
"""Construct the instance of the query by automatically setting as criterias the values provides as key arguments."""
<|body_0|>
def __contains__(self, ref):
"""Checks if the object contains a... | stack_v2_sparse_classes_36k_train_020220 | 16,647 | no_license | [
{
"docstring": "Construct the instance of the query by automatically setting as criterias the values provides as key arguments.",
"name": "__init__",
"signature": "def __init__(self, **keyargs)"
},
{
"docstring": "Checks if the object contains a value for the property even if that value is None.... | 2 | stack_v2_sparse_classes_30k_train_003081 | Implement the Python class `Query` described below.
Class description:
Support class for queries.
Method signatures and docstrings:
- def __init__(self, **keyargs): Construct the instance of the query by automatically setting as criterias the values provides as key arguments.
- def __contains__(self, ref): Checks if ... | Implement the Python class `Query` described below.
Class description:
Support class for queries.
Method signatures and docstrings:
- def __init__(self, **keyargs): Construct the instance of the query by automatically setting as criterias the values provides as key arguments.
- def __contains__(self, ref): Checks if ... | e0b3466b34d31548996d57be4a9dac134d904380 | <|skeleton|>
class Query:
"""Support class for queries."""
def __init__(self, **keyargs):
"""Construct the instance of the query by automatically setting as criterias the values provides as key arguments."""
<|body_0|>
def __contains__(self, ref):
"""Checks if the object contains a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Query:
"""Support class for queries."""
def __init__(self, **keyargs):
"""Construct the instance of the query by automatically setting as criterias the values provides as key arguments."""
query = typeFor(self)
assert isinstance(query, TypeQuery), 'Invalid query %s' % self
... | the_stack_v2_python_sparse | components/ally-api/ally/api/operator/descriptor.py | cristidomsa/Ally-Py | train | 0 |
77985f2176b47925ee3efd45c7aef1821181b44a | [
"self.capacity = capacity\nself.time = 0\nself.map = {}\nself.freq_time = {}\nself.priority_queue = []\nself.update = set()",
"self.time += 1\nif key in self.map:\n freq, _ = self.freq_time[key]\n self.freq_time[key] = (freq + 1, self.time)\n self.update.add(key)\n return self.map[key]\nreturn -1",
... | <|body_start_0|>
self.capacity = capacity
self.time = 0
self.map = {}
self.freq_time = {}
self.priority_queue = []
self.update = set()
<|end_body_0|>
<|body_start_1|>
self.time += 1
if key in self.map:
freq, _ = self.freq_time[key]
... | LFUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k_train_020221 | 2,640 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: None",
"name": "pu... | 3 | null | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None
<|sk... | 90c000c3be70727cde4f7494fbbb1c425bfd3da4 | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.time = 0
self.map = {}
self.freq_time = {}
self.priority_queue = []
self.update = set()
def get(self, key):
""":type key: int :rtype: int"""
... | the_stack_v2_python_sparse | categories/design/460.lfu-cache.py | chenjienan/python-leetcode | train | 16 | |
1c84273a119cb53f83c6811b624b69c15f2c244f | [
"data = super(ClothingListView, self).get_context_data(**kwargs)\ndata.update({'clothing_choices': Clothing.CATEGORY_CHOICES, 'suppliers': Supplier.objects.all()})\ndata.update(self.request.GET.dict())\nreturn data",
"qs = super(ClothingListView, self).get_queryset()\ncategory = self.request.REQUEST.get('category... | <|body_start_0|>
data = super(ClothingListView, self).get_context_data(**kwargs)
data.update({'clothing_choices': Clothing.CATEGORY_CHOICES, 'suppliers': Supplier.objects.all()})
data.update(self.request.GET.dict())
return data
<|end_body_0|>
<|body_start_1|>
qs = super(Clothing... | Display all the clothings | ClothingListView | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClothingListView:
"""Display all the clothings"""
def get_context_data(self, **kwargs):
"""Add extra data to context"""
<|body_0|>
def get_queryset(self):
"""Filter clothings"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
data = super(ClothingL... | stack_v2_sparse_classes_36k_train_020222 | 4,207 | permissive | [
{
"docstring": "Add extra data to context",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "Filter clothings",
"name": "get_queryset",
"signature": "def get_queryset(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011131 | Implement the Python class `ClothingListView` described below.
Class description:
Display all the clothings
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Add extra data to context
- def get_queryset(self): Filter clothings | Implement the Python class `ClothingListView` described below.
Class description:
Display all the clothings
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Add extra data to context
- def get_queryset(self): Filter clothings
<|skeleton|>
class ClothingListView:
"""Display all the clothi... | 0ea016745d92054bd4df8d934c1b67fd61b6f845 | <|skeleton|>
class ClothingListView:
"""Display all the clothings"""
def get_context_data(self, **kwargs):
"""Add extra data to context"""
<|body_0|>
def get_queryset(self):
"""Filter clothings"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClothingListView:
"""Display all the clothings"""
def get_context_data(self, **kwargs):
"""Add extra data to context"""
data = super(ClothingListView, self).get_context_data(**kwargs)
data.update({'clothing_choices': Clothing.CATEGORY_CHOICES, 'suppliers': Supplier.objects.all()})... | the_stack_v2_python_sparse | clothings/views.py | ygrass/handsome | train | 0 |
d04194ac238a7a2440cfd83658deb2ae23d43833 | [
"self.hd5_dir = hd5_dir\nself.remaining_files = 0\nself.clean_method = 'neurokit'\nself.r_method = r_method\nself.wave_method = wave_method\nself.tmaps = tmaps",
"hd5_files = [os.path.join(self.hd5_dir, hd5_file) for hd5_file in os.listdir(self.hd5_dir) if hd5_file.endswith('.hd5')]\nif os.cpu_count():\n if (n... | <|body_start_0|>
self.hd5_dir = hd5_dir
self.remaining_files = 0
self.clean_method = 'neurokit'
self.r_method = r_method
self.wave_method = wave_method
self.tmaps = tmaps
<|end_body_0|>
<|body_start_1|>
hd5_files = [os.path.join(self.hd5_dir, hd5_file) for hd5_fi... | Class that calculates the P, Q, R, S and T peaks, P, QRS, T waves onsets and offsets, PR, QT, RR and QRS intervals duration and QRS amplitude from all the ecg signals of each hd5 file inside the specified directory. | ECGFeatureDirExtractor | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ECGFeatureDirExtractor:
"""Class that calculates the P, Q, R, S and T peaks, P, QRS, T waves onsets and offsets, PR, QT, RR and QRS intervals duration and QRS amplitude from all the ecg signals of each hd5 file inside the specified directory."""
def __init__(self, hd5_dir: str, r_method: str... | stack_v2_sparse_classes_36k_train_020223 | 29,592 | permissive | [
{
"docstring": "Init ECG Feature Dir Extractor. :param hd5_dir: <str> Full path of the directory containing the hd5 files to extract the features. :param r_method: <str> The algorithm to be used for R-peak detection. Can be one of neurokit (default), pantompkins1985, hamilton2002, christov2004, gamboa2008, elge... | 3 | stack_v2_sparse_classes_30k_train_002672 | Implement the Python class `ECGFeatureDirExtractor` described below.
Class description:
Class that calculates the P, Q, R, S and T peaks, P, QRS, T waves onsets and offsets, PR, QT, RR and QRS intervals duration and QRS amplitude from all the ecg signals of each hd5 file inside the specified directory.
Method signatu... | Implement the Python class `ECGFeatureDirExtractor` described below.
Class description:
Class that calculates the P, Q, R, S and T peaks, P, QRS, T waves onsets and offsets, PR, QT, RR and QRS intervals duration and QRS amplitude from all the ecg signals of each hd5 file inside the specified directory.
Method signatu... | 0e25886083ccefc6cbb6250605c58f018f70a2e9 | <|skeleton|>
class ECGFeatureDirExtractor:
"""Class that calculates the P, Q, R, S and T peaks, P, QRS, T waves onsets and offsets, PR, QT, RR and QRS intervals duration and QRS amplitude from all the ecg signals of each hd5 file inside the specified directory."""
def __init__(self, hd5_dir: str, r_method: str... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ECGFeatureDirExtractor:
"""Class that calculates the P, Q, R, S and T peaks, P, QRS, T waves onsets and offsets, PR, QT, RR and QRS intervals duration and QRS amplitude from all the ecg signals of each hd5 file inside the specified directory."""
def __init__(self, hd5_dir: str, r_method: str='neurokit', ... | the_stack_v2_python_sparse | tensorize/bedmaster/ecg_features_extraction.py | mit-ccrg/ml4c3-mirror | train | 0 |
65b7a1bba22623f4d142ba71962ef1309611f289 | [
"def post(node):\n return post(node.left) + post(node.right) + [node.val] if node else []\nreturn ' '.join(map(str, post(root)))",
"def helper(data, lower, upper):\n if data or data[-1] < lower or data[-1] > upper:\n return None\n val = data.pop()\n node = Node(val)\n node.right = helper(val... | <|body_start_0|>
def post(node):
return post(node.left) + post(node.right) + [node.val] if node else []
return ' '.join(map(str, post(root)))
<|end_body_0|>
<|body_start_1|>
def helper(data, lower, upper):
if data or data[-1] < lower or data[-1] > upper:
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_020224 | 2,994 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_011508 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 2d5c09b63438aee7925252d5c6c4ede872bf52f1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def post(node):
return post(node.left) + post(node.right) + [node.val] if node else []
return ' '.join(map(str, post(root)))
def deserialize(self, data):
... | the_stack_v2_python_sparse | algorithms/google/SerializeAndDeserializeBST.py | james4388/algorithm-1 | train | 1 | |
3ee5675385b4ad8e75aad1a6c3df8bf123e393ea | [
"nums.sort(reverse=True)\ncount = 0\nfor i in range(1, len(nums)):\n if nums[i] < nums[i - 1]:\n count += 1\n if count == 2:\n return nums[i]\nreturn nums[0]",
"v = [float('-inf'), float('-inf'), float('-inf')]\nfor num in nums:\n if num not in v:\n if num > v[0]:\n v = [n... | <|body_start_0|>
nums.sort(reverse=True)
count = 0
for i in range(1, len(nums)):
if nums[i] < nums[i - 1]:
count += 1
if count == 2:
return nums[i]
return nums[0]
<|end_body_0|>
<|body_start_1|>
v = [float('-inf'), float('-... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def thirdMax(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def thirdMax1(self, nums):
"""time O(n) space O(1) :type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
nums.sort(reverse=True)
... | stack_v2_sparse_classes_36k_train_020225 | 1,076 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "thirdMax",
"signature": "def thirdMax(self, nums)"
},
{
"docstring": "time O(n) space O(1) :type nums: List[int] :rtype: int",
"name": "thirdMax1",
"signature": "def thirdMax1(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007426 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def thirdMax(self, nums): :type nums: List[int] :rtype: int
- def thirdMax1(self, nums): time O(n) space O(1) :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(self, nums): :type nums: List[int] :rtype: int
- def thirdMax1(self, nums): time O(n) space O(1) :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
... | 85f71621c54f6b0029f3a2746f022f89dd7419d9 | <|skeleton|>
class Solution:
def thirdMax(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def thirdMax1(self, nums):
"""time O(n) space O(1) :type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def thirdMax(self, nums):
""":type nums: List[int] :rtype: int"""
nums.sort(reverse=True)
count = 0
for i in range(1, len(nums)):
if nums[i] < nums[i - 1]:
count += 1
if count == 2:
return nums[i]
return ... | the_stack_v2_python_sparse | LeetCode/Array/414_third_maximum_number.py | XyK0907/for_work | train | 0 | |
0147b7a9eb20ff160e4be7be7c81e75fe3026f67 | [
"super().__init__(base_sprite=base_sprite, sprite_scale=sprite_scale, center_x=parent.center_x + relative_x, center_y=parent.center_y + relative_y, angle=angle, speed=speed, current_health=current_health, max_health=max_health)\nself.parent = parent\nself.relative_x = relative_x\nself.relative_y = relative_y\nself.... | <|body_start_0|>
super().__init__(base_sprite=base_sprite, sprite_scale=sprite_scale, center_x=parent.center_x + relative_x, center_y=parent.center_y + relative_y, angle=angle, speed=speed, current_health=current_health, max_health=max_health)
self.parent = parent
self.relative_x = relative_x
... | Defines the child entity which inherits from the Entity class. Methods ------- get_all_parents() Returns list containing all entities higher in the inheritance order. update(time: float, sprites: SpriteContainer) logic to the Entity.update function so that the child can maintain position/angle with respect to the paren... | ChildEntity | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChildEntity:
"""Defines the child entity which inherits from the Entity class. Methods ------- get_all_parents() Returns list containing all entities higher in the inheritance order. update(time: float, sprites: SpriteContainer) logic to the Entity.update function so that the child can maintain p... | stack_v2_sparse_classes_36k_train_020226 | 21,268 | no_license | [
{
"docstring": "Parameters ---------- base_sprite: str The path to the file containing the sprite for this entity. sprite_scale: float The scale to draw the sprite for this entity parent: Entity The entity. relative_x: Union[float, int] The starting x position in the map for this entity. relative_y: Union[float... | 3 | stack_v2_sparse_classes_30k_train_006573 | Implement the Python class `ChildEntity` described below.
Class description:
Defines the child entity which inherits from the Entity class. Methods ------- get_all_parents() Returns list containing all entities higher in the inheritance order. update(time: float, sprites: SpriteContainer) logic to the Entity.update fu... | Implement the Python class `ChildEntity` described below.
Class description:
Defines the child entity which inherits from the Entity class. Methods ------- get_all_parents() Returns list containing all entities higher in the inheritance order. update(time: float, sprites: SpriteContainer) logic to the Entity.update fu... | 8dcd79013745b3ce1d281063bca1d431bc3bcd84 | <|skeleton|>
class ChildEntity:
"""Defines the child entity which inherits from the Entity class. Methods ------- get_all_parents() Returns list containing all entities higher in the inheritance order. update(time: float, sprites: SpriteContainer) logic to the Entity.update function so that the child can maintain p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ChildEntity:
"""Defines the child entity which inherits from the Entity class. Methods ------- get_all_parents() Returns list containing all entities higher in the inheritance order. update(time: float, sprites: SpriteContainer) logic to the Entity.update function so that the child can maintain position/angle... | the_stack_v2_python_sparse | DrillDungeonGame/entity/entity.py | zacholade/Drill-Dungeon-Game | train | 0 |
ea18b7eee990330df85ed0391fd1dccf40dfe600 | [
"submission = cls(submitted_by_type=submitted_by_type, submitted_by_id=submitted_by_id, question_id=question_id, solution_type=solution_type, solution=solution, status=status)\ndb.session.add(submission)\ndb.session.commit()\nreturn submission",
"if sol_type == 'text':\n data = Question.get_filtertered_list(na... | <|body_start_0|>
submission = cls(submitted_by_type=submitted_by_type, submitted_by_id=submitted_by_id, question_id=question_id, solution_type=solution_type, solution=solution, status=status)
db.session.add(submission)
db.session.commit()
return submission
<|end_body_0|>
<|body_start_1|... | SolutionSubmission | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SolutionSubmission:
def create(cls, submitted_by_type, submitted_by_id, question_id, solution_type, solution, status=None):
"""Create a new solution submission :param submitted_by_type: the user type who submitted :param submitted_by_id: the user id who submitted :param question_id: the ... | stack_v2_sparse_classes_36k_train_020227 | 3,167 | no_license | [
{
"docstring": "Create a new solution submission :param submitted_by_type: the user type who submitted :param submitted_by_id: the user id who submitted :param question_id: the question id this submission corresponds too :param solution_type: text/video :param solution: :param status: :return:",
"name": "cr... | 2 | stack_v2_sparse_classes_30k_train_013153 | Implement the Python class `SolutionSubmission` described below.
Class description:
Implement the SolutionSubmission class.
Method signatures and docstrings:
- def create(cls, submitted_by_type, submitted_by_id, question_id, solution_type, solution, status=None): Create a new solution submission :param submitted_by_t... | Implement the Python class `SolutionSubmission` described below.
Class description:
Implement the SolutionSubmission class.
Method signatures and docstrings:
- def create(cls, submitted_by_type, submitted_by_id, question_id, solution_type, solution, status=None): Create a new solution submission :param submitted_by_t... | c8af233693cd6a97489a2d73a85646b15220389c | <|skeleton|>
class SolutionSubmission:
def create(cls, submitted_by_type, submitted_by_id, question_id, solution_type, solution, status=None):
"""Create a new solution submission :param submitted_by_type: the user type who submitted :param submitted_by_id: the user id who submitted :param question_id: the ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SolutionSubmission:
def create(cls, submitted_by_type, submitted_by_id, question_id, solution_type, solution, status=None):
"""Create a new solution submission :param submitted_by_type: the user type who submitted :param submitted_by_id: the user id who submitted :param question_id: the question id th... | the_stack_v2_python_sparse | exam_app/models/solution_submission.py | GraphicalDot/testrocketbackend | train | 0 | |
6fadbdb7d59da050da98b6ebfaa1449f04b33e5f | [
"result = {'result': 'NG', 'error': ''}\ndata_json = request.get_json(force=True)\nflag, error = CtrlUserGroup().update_manager_group(data_json)\nif flag:\n result['result'] = 'OK'\nelse:\n result['error'] = error\nreturn result",
"result = {'result': 'NG', 'error': ''}\nflag, error = CtrlUserGroup().delete... | <|body_start_0|>
result = {'result': 'NG', 'error': ''}
data_json = request.get_json(force=True)
flag, error = CtrlUserGroup().update_manager_group(data_json)
if flag:
result['result'] = 'OK'
else:
result['error'] = error
return result
<|end_body_0... | 项目体制组的删除与更新 | ApiManagerGroup | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApiManagerGroup:
"""项目体制组的删除与更新"""
def post(self):
"""更新"""
<|body_0|>
def delete(self, proj_id, group_id, commit_user):
"""删除"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
result = {'result': 'NG', 'error': ''}
data_json = request.get... | stack_v2_sparse_classes_36k_train_020228 | 3,031 | no_license | [
{
"docstring": "更新",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "删除",
"name": "delete",
"signature": "def delete(self, proj_id, group_id, commit_user)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008536 | Implement the Python class `ApiManagerGroup` described below.
Class description:
项目体制组的删除与更新
Method signatures and docstrings:
- def post(self): 更新
- def delete(self, proj_id, group_id, commit_user): 删除 | Implement the Python class `ApiManagerGroup` described below.
Class description:
项目体制组的删除与更新
Method signatures and docstrings:
- def post(self): 更新
- def delete(self, proj_id, group_id, commit_user): 删除
<|skeleton|>
class ApiManagerGroup:
"""项目体制组的删除与更新"""
def post(self):
"""更新"""
<|body_0|>... | 64b31e7bdfcb8a4c95f0a8a607f0bcff576cec11 | <|skeleton|>
class ApiManagerGroup:
"""项目体制组的删除与更新"""
def post(self):
"""更新"""
<|body_0|>
def delete(self, proj_id, group_id, commit_user):
"""删除"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ApiManagerGroup:
"""项目体制组的删除与更新"""
def post(self):
"""更新"""
result = {'result': 'NG', 'error': ''}
data_json = request.get_json(force=True)
flag, error = CtrlUserGroup().update_manager_group(data_json)
if flag:
result['result'] = 'OK'
else:
... | the_stack_v2_python_sparse | koala/koala_server/app/api_1_0/api_user_group.py | lsn1183/web_project | train | 0 |
d4f4ffe0ed74f95ba95fef131d3997e8015f46f3 | [
"super(MixtureDensityNet, self).__init__()\nself.n_input = n_input\nself.n_output = n_output\nself.n_component = n_component\nself.mu_linear = nn.Linear(n_input, n_output * n_component)\nself.logsigma_linear = nn.Linear(n_input, n_output * n_component)\nself.logpi_linear = nn.Linear(n_input, n_component)",
"n_dat... | <|body_start_0|>
super(MixtureDensityNet, self).__init__()
self.n_input = n_input
self.n_output = n_output
self.n_component = n_component
self.mu_linear = nn.Linear(n_input, n_output * n_component)
self.logsigma_linear = nn.Linear(n_input, n_output * n_component)
... | MixtureDensityNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MixtureDensityNet:
def __init__(self, n_input: int, n_output: int, n_component: int):
"""Parameters ---------- n_input : int the dimension of input feature n_output : the dimension of output space n_component : the number of component of Gauss distribution"""
<|body_0|>
def ... | stack_v2_sparse_classes_36k_train_020229 | 1,593 | permissive | [
{
"docstring": "Parameters ---------- n_input : int the dimension of input feature n_output : the dimension of output space n_component : the number of component of Gauss distribution",
"name": "__init__",
"signature": "def __init__(self, n_input: int, n_output: int, n_component: int)"
},
{
"doc... | 2 | stack_v2_sparse_classes_30k_train_006047 | Implement the Python class `MixtureDensityNet` described below.
Class description:
Implement the MixtureDensityNet class.
Method signatures and docstrings:
- def __init__(self, n_input: int, n_output: int, n_component: int): Parameters ---------- n_input : int the dimension of input feature n_output : the dimension o... | Implement the Python class `MixtureDensityNet` described below.
Class description:
Implement the MixtureDensityNet class.
Method signatures and docstrings:
- def __init__(self, n_input: int, n_output: int, n_component: int): Parameters ---------- n_input : int the dimension of input feature n_output : the dimension o... | 54b04e9e9e4c88d4859ea65d34ceb69dd1b58bc2 | <|skeleton|>
class MixtureDensityNet:
def __init__(self, n_input: int, n_output: int, n_component: int):
"""Parameters ---------- n_input : int the dimension of input feature n_output : the dimension of output space n_component : the number of component of Gauss distribution"""
<|body_0|>
def ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MixtureDensityNet:
def __init__(self, n_input: int, n_output: int, n_component: int):
"""Parameters ---------- n_input : int the dimension of input feature n_output : the dimension of output space n_component : the number of component of Gauss distribution"""
super(MixtureDensityNet, self).__i... | the_stack_v2_python_sparse | src/models/DeepIV/nn_structure/mixture_density_net.py | FFFinale/DeepFeatureIV | train | 0 | |
645f9556e6c714b5358f18c54e8724ed5fa2a2e1 | [
"try:\n User.objects.get(username__iexact=self.cleaned_data['username'])\nexcept User.DoesNotExist:\n pass\nelse:\n if AccountSignup.objects.filter(user__username__iexact=self.cleaned_data['username']).exclude(activation_key=account_settings.ACCOUNT_ACTIVATED):\n raise forms.ValidationError(_('This ... | <|body_start_0|>
try:
User.objects.get(username__iexact=self.cleaned_data['username'])
except User.DoesNotExist:
pass
else:
if AccountSignup.objects.filter(user__username__iexact=self.cleaned_data['username']).exclude(activation_key=account_settings.ACCOUNT_AC... | Form for creating a new user account. Validates that the requested username and e-mail is not already in use. Also requires the password to be entered twice. | SignupForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignupForm:
"""Form for creating a new user account. Validates that the requested username and e-mail is not already in use. Also requires the password to be entered twice."""
def clean_username(self):
"""Validate that the username is alphanumeric and is not already in use. Also vali... | stack_v2_sparse_classes_36k_train_020230 | 10,524 | no_license | [
{
"docstring": "Validate that the username is alphanumeric and is not already in use. Also validates that the username is not listed in ``ACCOUNT_FORBIDDEN_USERNAMES`` list.",
"name": "clean_username",
"signature": "def clean_username(self)"
},
{
"docstring": "Validate that the e-mail address is... | 4 | null | Implement the Python class `SignupForm` described below.
Class description:
Form for creating a new user account. Validates that the requested username and e-mail is not already in use. Also requires the password to be entered twice.
Method signatures and docstrings:
- def clean_username(self): Validate that the user... | Implement the Python class `SignupForm` described below.
Class description:
Form for creating a new user account. Validates that the requested username and e-mail is not already in use. Also requires the password to be entered twice.
Method signatures and docstrings:
- def clean_username(self): Validate that the user... | 47d6691bb1d13ea0084dafae434de6b871d3d1be | <|skeleton|>
class SignupForm:
"""Form for creating a new user account. Validates that the requested username and e-mail is not already in use. Also requires the password to be entered twice."""
def clean_username(self):
"""Validate that the username is alphanumeric and is not already in use. Also vali... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SignupForm:
"""Form for creating a new user account. Validates that the requested username and e-mail is not already in use. Also requires the password to be entered twice."""
def clean_username(self):
"""Validate that the username is alphanumeric and is not already in use. Also validates that th... | the_stack_v2_python_sparse | shopping_project/shopping/accounts/forms.py | yong5219/zayn_couture | train | 0 |
79441e08a0a611e6afad75afe98a931b639e7a9d | [
"self.username = username\nself.password = password\noptions = webdriver.ChromeOptions()\noptions.add_argument('--disable-gpu')\nif not interactive:\n options.add_argument('--headless')\noptions.add_argument(f'--user-data-dir=botdata/{username}/chrome')\nself.driver = webdriver.Chrome(options=options)\nself.auth... | <|body_start_0|>
self.username = username
self.password = password
options = webdriver.ChromeOptions()
options.add_argument('--disable-gpu')
if not interactive:
options.add_argument('--headless')
options.add_argument(f'--user-data-dir=botdata/{username}/chrome... | A bot acting like a human on the twitters. | TwitterWebSession | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TwitterWebSession:
"""A bot acting like a human on the twitters."""
def __init__(self, username, password, interactive=False):
"""Constructor."""
<|body_0|>
def log(self, msg):
"""Log something."""
<|body_1|>
def login(self):
"""See if we can... | stack_v2_sparse_classes_36k_train_020231 | 9,591 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, username, password, interactive=False)"
},
{
"docstring": "Log something.",
"name": "log",
"signature": "def log(self, msg)"
},
{
"docstring": "See if we can log in!",
"name": "login",
"si... | 6 | null | Implement the Python class `TwitterWebSession` described below.
Class description:
A bot acting like a human on the twitters.
Method signatures and docstrings:
- def __init__(self, username, password, interactive=False): Constructor.
- def log(self, msg): Log something.
- def login(self): See if we can log in!
- def ... | Implement the Python class `TwitterWebSession` described below.
Class description:
A bot acting like a human on the twitters.
Method signatures and docstrings:
- def __init__(self, username, password, interactive=False): Constructor.
- def log(self, msg): Log something.
- def login(self): See if we can log in!
- def ... | 3b1ef5841b25365d9b256467e774f35c28866961 | <|skeleton|>
class TwitterWebSession:
"""A bot acting like a human on the twitters."""
def __init__(self, username, password, interactive=False):
"""Constructor."""
<|body_0|>
def log(self, msg):
"""Log something."""
<|body_1|>
def login(self):
"""See if we can... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TwitterWebSession:
"""A bot acting like a human on the twitters."""
def __init__(self, username, password, interactive=False):
"""Constructor."""
self.username = username
self.password = password
options = webdriver.ChromeOptions()
options.add_argument('--disable-g... | the_stack_v2_python_sparse | twitter/bot.py | akrherz/DEV | train | 2 |
183cea01d80168545f37ca4b73da4a8e0edbddeb | [
"threading.Thread.__init__(self, group, target, name, args, kwargs or dict())\nself.interaction = interaction\nself.storage = storage\nself.logger = logging.getLogger('bcfg2-report-collector')\nself.semaphore = semaphore",
"try:\n try:\n start = time.time()\n self.storage.import_interaction(self.... | <|body_start_0|>
threading.Thread.__init__(self, group, target, name, args, kwargs or dict())
self.interaction = interaction
self.storage = storage
self.logger = logging.getLogger('bcfg2-report-collector')
self.semaphore = semaphore
<|end_body_0|>
<|body_start_1|>
try:
... | Thread for calling the storage backend | ReportingStoreThread | [
"LicenseRef-scancode-unknown-license-reference",
"mpich2",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReportingStoreThread:
"""Thread for calling the storage backend"""
def __init__(self, interaction, storage, group=None, target=None, name=None, semaphore=None, args=(), kwargs=None):
"""Initialize the thread with a reference to the interaction as well as the storage engine to use"""
... | stack_v2_sparse_classes_36k_train_020232 | 7,597 | permissive | [
{
"docstring": "Initialize the thread with a reference to the interaction as well as the storage engine to use",
"name": "__init__",
"signature": "def __init__(self, interaction, storage, group=None, target=None, name=None, semaphore=None, args=(), kwargs=None)"
},
{
"docstring": "Call the datab... | 2 | null | Implement the Python class `ReportingStoreThread` described below.
Class description:
Thread for calling the storage backend
Method signatures and docstrings:
- def __init__(self, interaction, storage, group=None, target=None, name=None, semaphore=None, args=(), kwargs=None): Initialize the thread with a reference to... | Implement the Python class `ReportingStoreThread` described below.
Class description:
Thread for calling the storage backend
Method signatures and docstrings:
- def __init__(self, interaction, storage, group=None, target=None, name=None, semaphore=None, args=(), kwargs=None): Initialize the thread with a reference to... | 8605cd3d0cb4d549cb8b43de945d447f6d82892a | <|skeleton|>
class ReportingStoreThread:
"""Thread for calling the storage backend"""
def __init__(self, interaction, storage, group=None, target=None, name=None, semaphore=None, args=(), kwargs=None):
"""Initialize the thread with a reference to the interaction as well as the storage engine to use"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReportingStoreThread:
"""Thread for calling the storage backend"""
def __init__(self, interaction, storage, group=None, target=None, name=None, semaphore=None, args=(), kwargs=None):
"""Initialize the thread with a reference to the interaction as well as the storage engine to use"""
threa... | the_stack_v2_python_sparse | src/lib/Bcfg2/Reporting/Collector.py | Bcfg2/bcfg2 | train | 56 |
d1d526e0b36060e085876fc272c4583255baa99c | [
"if depth is None:\n depth = -1\nfunc = self.get_nodes.__func__\nreturn _traverser(self, func=func, depth=depth, flat=flat, filt=filt, traverse_excluded=traverse_excluded, include_self=True, gen=gen, vertical=True, spawn=spawn)",
"if depth is None:\n depth = -1\norigins = [node for node in self.get_all() if... | <|body_start_0|>
if depth is None:
depth = -1
func = self.get_nodes.__func__
return _traverser(self, func=func, depth=depth, flat=flat, filt=filt, traverse_excluded=traverse_excluded, include_self=True, gen=gen, vertical=True, spawn=spawn)
<|end_body_0|>
<|body_start_1|>
if ... | Global methods of a Diagram. | _Diagram_Global | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Diagram_Global:
"""Global methods of a Diagram."""
def get_all(self, depth=None, flat=None, filt=None, traverse_excluded=None, gen=None, spawn=None):
"""QOL, shortcut for get_nodes() with depth being -1 and include_self being True. Will return/yield all nodes, originating from self.... | stack_v2_sparse_classes_36k_train_020233 | 36,776 | permissive | [
{
"docstring": "QOL, shortcut for get_nodes() with depth being -1 and include_self being True. Will return/yield all nodes, originating from self. :param TreeDiagram or NetworkDiagram or Any self: :param int or None depth: -1 - Depth of 0 will return/yield single direct layer. Get unlimited with -1. :param bool... | 2 | stack_v2_sparse_classes_30k_train_014102 | Implement the Python class `_Diagram_Global` described below.
Class description:
Global methods of a Diagram.
Method signatures and docstrings:
- def get_all(self, depth=None, flat=None, filt=None, traverse_excluded=None, gen=None, spawn=None): QOL, shortcut for get_nodes() with depth being -1 and include_self being ... | Implement the Python class `_Diagram_Global` described below.
Class description:
Global methods of a Diagram.
Method signatures and docstrings:
- def get_all(self, depth=None, flat=None, filt=None, traverse_excluded=None, gen=None, spawn=None): QOL, shortcut for get_nodes() with depth being -1 and include_self being ... | c3bef4992c8cafb8fe198a22b68c1903517d5c67 | <|skeleton|>
class _Diagram_Global:
"""Global methods of a Diagram."""
def get_all(self, depth=None, flat=None, filt=None, traverse_excluded=None, gen=None, spawn=None):
"""QOL, shortcut for get_nodes() with depth being -1 and include_self being True. Will return/yield all nodes, originating from self.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _Diagram_Global:
"""Global methods of a Diagram."""
def get_all(self, depth=None, flat=None, filt=None, traverse_excluded=None, gen=None, spawn=None):
"""QOL, shortcut for get_nodes() with depth being -1 and include_self being True. Will return/yield all nodes, originating from self. :param TreeD... | the_stack_v2_python_sparse | generallibrary/diagram.py | GaetanDesrues/generallibrary | train | 0 |
5930aa8ae3d8c4e412b4e91ff2223e8a91cb6765 | [
"result_next = result = ListNode(0)\nwhile l1 and l2:\n if l1.val <= l2.val:\n result_next.next = ListNode(l1.val)\n l1 = l1.next\n else:\n result_next.next = ListNode(l2.val)\n l2 = l2.next\n result_next = result_next.next\nresult_next.next = l1 or l2\nreturn result.next",
"i... | <|body_start_0|>
result_next = result = ListNode(0)
while l1 and l2:
if l1.val <= l2.val:
result_next.next = ListNode(l1.val)
l1 = l1.next
else:
result_next.next = ListNode(l2.val)
l2 = l2.next
result_nex... | Solution | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
"""direct solution"""
<|body_0|>
def mergeTwoLists1(self, list1, list2):
"""recursively"""
<|body_1|>
def mergeTwoLists2(self, l1, l2):
"""change into list"""
<|body_2|>
<|end_skeleton|>
<|body... | stack_v2_sparse_classes_36k_train_020234 | 2,200 | permissive | [
{
"docstring": "direct solution",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1, l2)"
},
{
"docstring": "recursively",
"name": "mergeTwoLists1",
"signature": "def mergeTwoLists1(self, list1, list2)"
},
{
"docstring": "change into list",
"name": "mergeTwoLi... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): direct solution
- def mergeTwoLists1(self, list1, list2): recursively
- def mergeTwoLists2(self, l1, l2): change into list | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): direct solution
- def mergeTwoLists1(self, list1, list2): recursively
- def mergeTwoLists2(self, l1, l2): change into list
<|skeleton|>
class So... | 49a0b03c55d8a702785888d473ef96539265ce9c | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
"""direct solution"""
<|body_0|>
def mergeTwoLists1(self, list1, list2):
"""recursively"""
<|body_1|>
def mergeTwoLists2(self, l1, l2):
"""change into list"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def mergeTwoLists(self, l1, l2):
"""direct solution"""
result_next = result = ListNode(0)
while l1 and l2:
if l1.val <= l2.val:
result_next.next = ListNode(l1.val)
l1 = l1.next
else:
result_next.next = Li... | the_stack_v2_python_sparse | leetcode/0021_merge_two_sorted_lists.py | chaosWsF/Python-Practice | train | 1 | |
d208ca4db22c8cf8466a505e4ff0d86271a9748e | [
"BaseDustNode.__init__(self, xml_node)\nself._value = utils.parse_number(xml_node.text)\nself._columns = [Column(name=col_name, unit=units)]",
"base_string = BaseDustNode.__str__(self)\nstring = '[NumberNode: ' + base_string + ', value: ' + str(self._value) + ']'\nreturn string"
] | <|body_start_0|>
BaseDustNode.__init__(self, xml_node)
self._value = utils.parse_number(xml_node.text)
self._columns = [Column(name=col_name, unit=units)]
<|end_body_0|>
<|body_start_1|>
base_string = BaseDustNode.__str__(self)
string = '[NumberNode: ' + base_string + ', value: ... | A node that contains a number. Outputs a single column containing the number. | NumberNode | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumberNode:
"""A node that contains a number. Outputs a single column containing the number."""
def __init__(self, xml_node, col_name, *, units=None):
"""Parameters ---------- xml_node : `xml.etree.ElementTree` the xml node that provides the raw data for this DustNode col_name : str ... | stack_v2_sparse_classes_36k_train_020235 | 41,056 | permissive | [
{
"docstring": "Parameters ---------- xml_node : `xml.etree.ElementTree` the xml node that provides the raw data for this DustNode col_name : str the name of the column associated with this item units : `~astropy.units.Unit` the units associated with this item",
"name": "__init__",
"signature": "def __i... | 2 | stack_v2_sparse_classes_30k_val_000246 | Implement the Python class `NumberNode` described below.
Class description:
A node that contains a number. Outputs a single column containing the number.
Method signatures and docstrings:
- def __init__(self, xml_node, col_name, *, units=None): Parameters ---------- xml_node : `xml.etree.ElementTree` the xml node tha... | Implement the Python class `NumberNode` described below.
Class description:
A node that contains a number. Outputs a single column containing the number.
Method signatures and docstrings:
- def __init__(self, xml_node, col_name, *, units=None): Parameters ---------- xml_node : `xml.etree.ElementTree` the xml node tha... | 51316d7417d7daf01a8b29d1df99037b9227c2bc | <|skeleton|>
class NumberNode:
"""A node that contains a number. Outputs a single column containing the number."""
def __init__(self, xml_node, col_name, *, units=None):
"""Parameters ---------- xml_node : `xml.etree.ElementTree` the xml node that provides the raw data for this DustNode col_name : str ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumberNode:
"""A node that contains a number. Outputs a single column containing the number."""
def __init__(self, xml_node, col_name, *, units=None):
"""Parameters ---------- xml_node : `xml.etree.ElementTree` the xml node that provides the raw data for this DustNode col_name : str the name of t... | the_stack_v2_python_sparse | astroquery/ipac/irsa/irsa_dust/core.py | astropy/astroquery | train | 636 |
124f18cdba22adf653aa7964722048d6e13c5840 | [
"column = CheckboxColumn(checkbox_name='my_checkbox&', detailed_label='<Select Rows>')\nself.assertHTMLEqual(column.label, '<input class=\"datagrid-header-checkbox\" type=\"checkbox\" data-checkbox-name=\"my_checkbox&\">')\nself.assertHTMLEqual(column.detailed_label_html, '<input type=\"checkbox\"> <Select ... | <|body_start_0|>
column = CheckboxColumn(checkbox_name='my_checkbox&', detailed_label='<Select Rows>')
self.assertHTMLEqual(column.label, '<input class="datagrid-header-checkbox" type="checkbox" data-checkbox-name="my_checkbox&">')
self.assertHTMLEqual(column.detailed_label_html, '<input ty... | Unit tests for djblets.datagrid.grids.CheckboxColumn. | CheckboxColumnTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheckboxColumnTests:
"""Unit tests for djblets.datagrid.grids.CheckboxColumn."""
def test_initial_state(self):
"""Testing CheckboxColumn initial state"""
<|body_0|>
def test_render_data_with_selected(self):
"""Testing CheckboxColumn.render_data with selected obje... | stack_v2_sparse_classes_36k_train_020236 | 16,362 | no_license | [
{
"docstring": "Testing CheckboxColumn initial state",
"name": "test_initial_state",
"signature": "def test_initial_state(self)"
},
{
"docstring": "Testing CheckboxColumn.render_data with selected object",
"name": "test_render_data_with_selected",
"signature": "def test_render_data_with_... | 3 | null | Implement the Python class `CheckboxColumnTests` described below.
Class description:
Unit tests for djblets.datagrid.grids.CheckboxColumn.
Method signatures and docstrings:
- def test_initial_state(self): Testing CheckboxColumn initial state
- def test_render_data_with_selected(self): Testing CheckboxColumn.render_da... | Implement the Python class `CheckboxColumnTests` described below.
Class description:
Unit tests for djblets.datagrid.grids.CheckboxColumn.
Method signatures and docstrings:
- def test_initial_state(self): Testing CheckboxColumn initial state
- def test_render_data_with_selected(self): Testing CheckboxColumn.render_da... | 99ea69d80a3a393b0da4da3152ef26e808dd8487 | <|skeleton|>
class CheckboxColumnTests:
"""Unit tests for djblets.datagrid.grids.CheckboxColumn."""
def test_initial_state(self):
"""Testing CheckboxColumn initial state"""
<|body_0|>
def test_render_data_with_selected(self):
"""Testing CheckboxColumn.render_data with selected obje... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CheckboxColumnTests:
"""Unit tests for djblets.datagrid.grids.CheckboxColumn."""
def test_initial_state(self):
"""Testing CheckboxColumn initial state"""
column = CheckboxColumn(checkbox_name='my_checkbox&', detailed_label='<Select Rows>')
self.assertHTMLEqual(column.label, '<inpu... | the_stack_v2_python_sparse | djblets/datagrid/tests.py | chipx86/djblets | train | 2 |
782a2124277560a59af08e11b9ecd97adccbef90 | [
"super(RCNLPSwitchingAttractorLanguage, self).__init__()\nself.m_tag_symbol = tag_symbol\nself.m_other_symbols = other_symbols\nself.m_memory_length = memory_length\nself.m_sparsity = sparsity\nself._switch_back_symbol = switch_back_symbol",
"lang_inputs = []\nlang_outputs = []\nmem_step = 0.0\ncount = 0\nseen = ... | <|body_start_0|>
super(RCNLPSwitchingAttractorLanguage, self).__init__()
self.m_tag_symbol = tag_symbol
self.m_other_symbols = other_symbols
self.m_memory_length = memory_length
self.m_sparsity = sparsity
self._switch_back_symbol = switch_back_symbol
<|end_body_0|>
<|bod... | This class create samples of a language where the reservoir must switch attractor and therefore its outputs when a signal is presented to its input. | RCNLPSwitchingAttractorLanguage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RCNLPSwitchingAttractorLanguage:
"""This class create samples of a language where the reservoir must switch attractor and therefore its outputs when a signal is presented to its input."""
def __init__(self, tag_symbol, other_symbols, switch_back_symbol=None, memory_length=-1, sparsity=0.5):
... | stack_v2_sparse_classes_36k_train_020237 | 4,960 | no_license | [
{
"docstring": ":param tag_symbol: The symbol tag to switch attractor :param other_symbols: The other symbol given to the reservoir :param memory_length: The number of step the reservoir must stay in the attractor.",
"name": "__init__",
"signature": "def __init__(self, tag_symbol, other_symbols, switch_... | 3 | stack_v2_sparse_classes_30k_train_003141 | Implement the Python class `RCNLPSwitchingAttractorLanguage` described below.
Class description:
This class create samples of a language where the reservoir must switch attractor and therefore its outputs when a signal is presented to its input.
Method signatures and docstrings:
- def __init__(self, tag_symbol, other... | Implement the Python class `RCNLPSwitchingAttractorLanguage` described below.
Class description:
This class create samples of a language where the reservoir must switch attractor and therefore its outputs when a signal is presented to its input.
Method signatures and docstrings:
- def __init__(self, tag_symbol, other... | 01d1a6b36895c99f8cd8bab8fd4312c1998e0b82 | <|skeleton|>
class RCNLPSwitchingAttractorLanguage:
"""This class create samples of a language where the reservoir must switch attractor and therefore its outputs when a signal is presented to its input."""
def __init__(self, tag_symbol, other_symbols, switch_back_symbol=None, memory_length=-1, sparsity=0.5):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RCNLPSwitchingAttractorLanguage:
"""This class create samples of a language where the reservoir must switch attractor and therefore its outputs when a signal is presented to its input."""
def __init__(self, tag_symbol, other_symbols, switch_back_symbol=None, memory_length=-1, sparsity=0.5):
""":p... | the_stack_v2_python_sparse | core/languages/RCNLPSwitchingAttractorLanguage.py | nschaetti/RCNLP | train | 2 |
555c8a6f8091c7e47c2c87f6762c78fae3129f34 | [
"super().__init__()\nout_channels = 2 * in_channels\nself.down_conv = nn.Conv2d(in_channels, out_channels, kernel_size=2, stride=2, bias=bias)\nself.bn1 = nn.BatchNorm2d(out_channels)\nself.act_function1 = act(inplace=True)\nself.act_function2 = act(inplace=True)\nself.ops = _make_nconv(out_channels, convs, act, bi... | <|body_start_0|>
super().__init__()
out_channels = 2 * in_channels
self.down_conv = nn.Conv2d(in_channels, out_channels, kernel_size=2, stride=2, bias=bias)
self.bn1 = nn.BatchNorm2d(out_channels)
self.act_function1 = act(inplace=True)
self.act_function2 = act(inplace=Tru... | Down Transition Block. | DownTransition | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DownTransition:
"""Down Transition Block."""
def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False):
"""Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module A... | stack_v2_sparse_classes_36k_train_020238 | 8,968 | permissive | [
{
"docstring": "Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module Activation function. dropout_prob : float Dropout probability. bias : bool Whether to use bias.",
"name": "__init__",
"signature": "def __init__(self, in_channels: int, ... | 2 | stack_v2_sparse_classes_30k_train_005996 | Implement the Python class `DownTransition` described below.
Class description:
Down Transition Block.
Method signatures and docstrings:
- def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False): Parameters ---------- in_channels : int Number of input channel... | Implement the Python class `DownTransition` described below.
Class description:
Down Transition Block.
Method signatures and docstrings:
- def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False): Parameters ---------- in_channels : int Number of input channel... | 6d15dd55ca5ed6fc9fbfd31d8488ee7bab453066 | <|skeleton|>
class DownTransition:
"""Down Transition Block."""
def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False):
"""Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module A... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DownTransition:
"""Down Transition Block."""
def __init__(self, in_channels: int, convs: int, act: nn.Module=nn.ELU, dropout_prob: float=0.0, bias: bool=False):
"""Parameters ---------- in_channels : int Number of input channels. convs : int Number of LUConv layers. act : nn.Module Activation fun... | the_stack_v2_python_sparse | mridc/collections/segmentation/models/vnet_base/vnet_block.py | wdika/mridc | train | 40 |
2143fcb503e491f7b96c1318dc669e2900176680 | [
"assert isinstance(entityCount, int)\nassert entityCount >= 2\nself.entityCount = entityCount\nassert acceptedEntityTypes is None or isinstance(acceptedEntityTypes, list)\nif acceptedEntityTypes is None:\n self.acceptedEntityTypes = None\nelse:\n for acceptedEntityType in acceptedEntityTypes:\n assert ... | <|body_start_0|>
assert isinstance(entityCount, int)
assert entityCount >= 2
self.entityCount = entityCount
assert acceptedEntityTypes is None or isinstance(acceptedEntityTypes, list)
if acceptedEntityTypes is None:
self.acceptedEntityTypes = None
else:
... | Generates set of all possible relations in corpus. :ivar entityCount: Number of entities in each relation (default=2) :ivar acceptedEntityTypes: Tuples of entities that candidate relations must match. Each entity should be the same length as entityCount. None will match all candidate relations. | CandidateBuilder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CandidateBuilder:
"""Generates set of all possible relations in corpus. :ivar entityCount: Number of entities in each relation (default=2) :ivar acceptedEntityTypes: Tuples of entities that candidate relations must match. Each entity should be the same length as entityCount. None will match all c... | stack_v2_sparse_classes_36k_train_020239 | 4,217 | permissive | [
{
"docstring": "Constructor :param entityCount: Number of entities in each relation (default=2) :param acceptedEntityTypes: Tuples of entities that candidate relations must match. Each entity should be the same length as entityCount. None will match all candidate relations. :type entityCount: int :type accepted... | 2 | stack_v2_sparse_classes_30k_train_011249 | Implement the Python class `CandidateBuilder` described below.
Class description:
Generates set of all possible relations in corpus. :ivar entityCount: Number of entities in each relation (default=2) :ivar acceptedEntityTypes: Tuples of entities that candidate relations must match. Each entity should be the same lengt... | Implement the Python class `CandidateBuilder` described below.
Class description:
Generates set of all possible relations in corpus. :ivar entityCount: Number of entities in each relation (default=2) :ivar acceptedEntityTypes: Tuples of entities that candidate relations must match. Each entity should be the same lengt... | 5a7f296ae9a9e43727622f48cdcf93095a8ad452 | <|skeleton|>
class CandidateBuilder:
"""Generates set of all possible relations in corpus. :ivar entityCount: Number of entities in each relation (default=2) :ivar acceptedEntityTypes: Tuples of entities that candidate relations must match. Each entity should be the same length as entityCount. None will match all c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CandidateBuilder:
"""Generates set of all possible relations in corpus. :ivar entityCount: Number of entities in each relation (default=2) :ivar acceptedEntityTypes: Tuples of entities that candidate relations must match. Each entity should be the same length as entityCount. None will match all candidate rela... | the_stack_v2_python_sparse | kindred/CandidateBuilder.py | wangmm88/BioNLP-ST-2016_BB3-event | train | 1 |
a6e735f62b949de6a1012b6714cb724a8c07e106 | [
"self.serializer_class = PromoteLabelSerializer\nqueryset = PromoteLabel.objects.all().order_by('rank')\nserializer = self.get_serializer(queryset, many=True)\nreturn Response(serializer.data)",
"self.serializer_class = PromoteOptionSerializer\nqueryset = PromoteShouts.objects.filter(is_active=True)\nqueryset = s... | <|body_start_0|>
self.serializer_class = PromoteLabelSerializer
queryset = PromoteLabel.objects.all().order_by('rank')
serializer = self.get_serializer(queryset, many=True)
return Response(serializer.data)
<|end_body_0|>
<|body_start_1|>
self.serializer_class = PromoteOptionSeri... | PromoteShoutMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PromoteShoutMixin:
def promote_labels(self, request, *args, **kwargs):
"""Retrieve shout Promotion Labels ###Response <pre><code> { "name": "PREMIUM", "description": "Your shout will be highlighted in all searches.", "color": "#FFFFD700", "bg_color": "#26FFD700" } </code></pre> - `color`... | stack_v2_sparse_classes_36k_train_020240 | 6,777 | no_license | [
{
"docstring": "Retrieve shout Promotion Labels ###Response <pre><code> { \"name\": \"PREMIUM\", \"description\": \"Your shout will be highlighted in all searches.\", \"color\": \"#FFFFD700\", \"bg_color\": \"#26FFD700\" } </code></pre> - `color` and `bg_color` are in this format `#AARRGGBB` --- omit_serializer... | 3 | stack_v2_sparse_classes_30k_train_004538 | Implement the Python class `PromoteShoutMixin` described below.
Class description:
Implement the PromoteShoutMixin class.
Method signatures and docstrings:
- def promote_labels(self, request, *args, **kwargs): Retrieve shout Promotion Labels ###Response <pre><code> { "name": "PREMIUM", "description": "Your shout will... | Implement the Python class `PromoteShoutMixin` described below.
Class description:
Implement the PromoteShoutMixin class.
Method signatures and docstrings:
- def promote_labels(self, request, *args, **kwargs): Retrieve shout Promotion Labels ###Response <pre><code> { "name": "PREMIUM", "description": "Your shout will... | f3c95585ac639b45c28521712ed33a178ab36ea4 | <|skeleton|>
class PromoteShoutMixin:
def promote_labels(self, request, *args, **kwargs):
"""Retrieve shout Promotion Labels ###Response <pre><code> { "name": "PREMIUM", "description": "Your shout will be highlighted in all searches.", "color": "#FFFFD700", "bg_color": "#26FFD700" } </code></pre> - `color`... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PromoteShoutMixin:
def promote_labels(self, request, *args, **kwargs):
"""Retrieve shout Promotion Labels ###Response <pre><code> { "name": "PREMIUM", "description": "Your shout will be highlighted in all searches.", "color": "#FFFFD700", "bg_color": "#26FFD700" } </code></pre> - `color` and `bg_color... | the_stack_v2_python_sparse | src/shoutit_credit/views.py | shoutit/shoutit-api | train | 0 | |
875920c3f28531a273e577e564e5f24357fc5a06 | [
"if not grid:\n return 0\nnumber_of_islands = 0\nrows, cols = (len(grid), len(grid[0]))\nq = deque()\n\ndef helper(grid, q):\n while q:\n row, col = q.popleft()\n for dr, dc in ((row + 1, col), (row - 1, col), (row, col + 1), (row, col - 1)):\n if 0 <= dr < len(grid) and 0 <= dc < len... | <|body_start_0|>
if not grid:
return 0
number_of_islands = 0
rows, cols = (len(grid), len(grid[0]))
q = deque()
def helper(grid, q):
while q:
row, col = q.popleft()
for dr, dc in ((row + 1, col), (row - 1, col), (row, col +... | Islands | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Islands:
def total_number_bfs(self, grid: List[List[str]]) -> int:
"""Approach: BFS Time Complexity: O(MN) Space Complexity: O(min(MN)) :param grid: :return:"""
<|body_0|>
def total_number_dfs(self, grid: List[List[str]]) -> int:
"""Approach: DFS Time Complexity: O(M... | stack_v2_sparse_classes_36k_train_020241 | 2,943 | no_license | [
{
"docstring": "Approach: BFS Time Complexity: O(MN) Space Complexity: O(min(MN)) :param grid: :return:",
"name": "total_number_bfs",
"signature": "def total_number_bfs(self, grid: List[List[str]]) -> int"
},
{
"docstring": "Approach: DFS Time Complexity: O(MN) Space Complexity: O(MN) :param gri... | 2 | null | Implement the Python class `Islands` described below.
Class description:
Implement the Islands class.
Method signatures and docstrings:
- def total_number_bfs(self, grid: List[List[str]]) -> int: Approach: BFS Time Complexity: O(MN) Space Complexity: O(min(MN)) :param grid: :return:
- def total_number_dfs(self, grid:... | Implement the Python class `Islands` described below.
Class description:
Implement the Islands class.
Method signatures and docstrings:
- def total_number_bfs(self, grid: List[List[str]]) -> int: Approach: BFS Time Complexity: O(MN) Space Complexity: O(min(MN)) :param grid: :return:
- def total_number_dfs(self, grid:... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Islands:
def total_number_bfs(self, grid: List[List[str]]) -> int:
"""Approach: BFS Time Complexity: O(MN) Space Complexity: O(min(MN)) :param grid: :return:"""
<|body_0|>
def total_number_dfs(self, grid: List[List[str]]) -> int:
"""Approach: DFS Time Complexity: O(M... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Islands:
def total_number_bfs(self, grid: List[List[str]]) -> int:
"""Approach: BFS Time Complexity: O(MN) Space Complexity: O(min(MN)) :param grid: :return:"""
if not grid:
return 0
number_of_islands = 0
rows, cols = (len(grid), len(grid[0]))
q = deque()
... | the_stack_v2_python_sparse | amazon/dfs_and_bfs/number_of_islands.py | Shiv2157k/leet_code | train | 1 | |
578a9eb1e6539c06a365409c2e2a0eb4729536b0 | [
"if site.home_page.has_matching_tag('a', {'href': '\\\\.page'}):\n return 1\nelse:\n return 0",
"if site.home_page.has_matching_tag('div', {'class': 'iw_component'}):\n return 1\nelse:\n return 0"
] | <|body_start_0|>
if site.home_page.has_matching_tag('a', {'href': '\\.page'}):
return 1
else:
return 0
<|end_body_0|>
<|body_start_1|>
if site.home_page.has_matching_tag('div', {'class': 'iw_component'}):
return 1
else:
return 0
<|end_body... | Signature | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Signature:
def test_has_dot_page_extension(self, site):
"""TeamSite sites running LiveSite tend to have URLs that contain a .page extension"""
<|body_0|>
def test_has_iw_component(sefl, site):
"""TeamSite's uses the class iw_component to identify LiveSite component d... | stack_v2_sparse_classes_36k_train_020242 | 1,192 | permissive | [
{
"docstring": "TeamSite sites running LiveSite tend to have URLs that contain a .page extension",
"name": "test_has_dot_page_extension",
"signature": "def test_has_dot_page_extension(self, site)"
},
{
"docstring": "TeamSite's uses the class iw_component to identify LiveSite component divs.",
... | 2 | stack_v2_sparse_classes_30k_test_000049 | Implement the Python class `Signature` described below.
Class description:
Implement the Signature class.
Method signatures and docstrings:
- def test_has_dot_page_extension(self, site): TeamSite sites running LiveSite tend to have URLs that contain a .page extension
- def test_has_iw_component(sefl, site): TeamSite'... | Implement the Python class `Signature` described below.
Class description:
Implement the Signature class.
Method signatures and docstrings:
- def test_has_dot_page_extension(self, site): TeamSite sites running LiveSite tend to have URLs that contain a .page extension
- def test_has_iw_component(sefl, site): TeamSite'... | 850bac5a1f5de67025bfaed252fbcde0b6ea6846 | <|skeleton|>
class Signature:
def test_has_dot_page_extension(self, site):
"""TeamSite sites running LiveSite tend to have URLs that contain a .page extension"""
<|body_0|>
def test_has_iw_component(sefl, site):
"""TeamSite's uses the class iw_component to identify LiveSite component d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Signature:
def test_has_dot_page_extension(self, site):
"""TeamSite sites running LiveSite tend to have URLs that contain a .page extension"""
if site.home_page.has_matching_tag('a', {'href': '\\.page'}):
return 1
else:
return 0
def test_has_iw_component(se... | the_stack_v2_python_sparse | cmfieldguide/cmsdetector/signatures/livesite.py | kartiktodi/cmfieldguide | train | 0 | |
c59fea65c8c99b7806ab52df11c372070879e876 | [
"assert len(objList) >= 1\nself.initialCoords = (x, y)\nself.dc = objList[0].dc\ntagList = []\nfor obj in objList:\n tagList.append(obj.tag)\nbbox = self.dc.bbox(*tagList)\nitemHandler = self.dc.create_rectangle(bbox, tags='dragBoxVisualAid', stipple='', width='2.0', outline='firebrick3', fill='')\nself.dragEndB... | <|body_start_0|>
assert len(objList) >= 1
self.initialCoords = (x, y)
self.dc = objList[0].dc
tagList = []
for obj in objList:
tagList.append(obj.tag)
bbox = self.dc.bbox(*tagList)
itemHandler = self.dc.create_rectangle(bbox, tags='dragBoxVisualAid', s... | Drag | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Drag:
def __init__(self, objList, x, y):
"""Creates a new drag object Includes 2 boxes: #1 indicates the initial position of the dragged items #2 indicates the new position of the dragged items Note: Dragged items are not moved at all! Only the indicators (for speed)"""
<|body_0|... | stack_v2_sparse_classes_36k_train_020243 | 9,729 | no_license | [
{
"docstring": "Creates a new drag object Includes 2 boxes: #1 indicates the initial position of the dragged items #2 indicates the new position of the dragged items Note: Dragged items are not moved at all! Only the indicators (for speed)",
"name": "__init__",
"signature": "def __init__(self, objList, ... | 3 | null | Implement the Python class `Drag` described below.
Class description:
Implement the Drag class.
Method signatures and docstrings:
- def __init__(self, objList, x, y): Creates a new drag object Includes 2 boxes: #1 indicates the initial position of the dragged items #2 indicates the new position of the dragged items N... | Implement the Python class `Drag` described below.
Class description:
Implement the Drag class.
Method signatures and docstrings:
- def __init__(self, objList, x, y): Creates a new drag object Includes 2 boxes: #1 indicates the initial position of the dragged items #2 indicates the new position of the dragged items N... | d900f58f0ddc1891831b298d9b37fbe98193719d | <|skeleton|>
class Drag:
def __init__(self, objList, x, y):
"""Creates a new drag object Includes 2 boxes: #1 indicates the initial position of the dragged items #2 indicates the new position of the dragged items Note: Dragged items are not moved at all! Only the indicators (for speed)"""
<|body_0|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Drag:
def __init__(self, objList, x, y):
"""Creates a new drag object Includes 2 boxes: #1 indicates the initial position of the dragged items #2 indicates the new position of the dragged items Note: Dragged items are not moved at all! Only the indicators (for speed)"""
assert len(objList) >= ... | the_stack_v2_python_sparse | Assignment4/atom3/Kernel/UserInterface/Drag.py | pombreda/comp304 | train | 1 | |
c11469f6ddfa02e5bf4862cb257e0f1046e9a2a1 | [
"super(Encoder, self).__init__()\nself.N = N\nself.dm = dm\nself.embedding = tf.keras.layers.Embedding(input_vocab, dm)\nself.positional_encoding = positional_encoding(max_seq_len, dm)\nself.blocks = [EncoderBlock(dm, h, hidden, drop_rate) for _ in range(N)]\nself.dropout = tf.keras.layers.Dropout(drop_rate)",
"s... | <|body_start_0|>
super(Encoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(input_vocab, dm)
self.positional_encoding = positional_encoding(max_seq_len, dm)
self.blocks = [EncoderBlock(dm, h, hidden, drop_rate) for _ in range(N)]
... | class that instantiates an Encoder | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
"""class that instantiates an Encoder"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""constructor"""
<|body_0|>
def call(self, x, training, mask):
"""function that builds an Encoder"""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k_train_020244 | 1,954 | no_license | [
{
"docstring": "constructor",
"name": "__init__",
"signature": "def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1)"
},
{
"docstring": "function that builds an Encoder",
"name": "call",
"signature": "def call(self, x, training, mask)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012695 | Implement the Python class `Encoder` described below.
Class description:
class that instantiates an Encoder
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): constructor
- def call(self, x, training, mask): function that builds an Encoder | Implement the Python class `Encoder` described below.
Class description:
class that instantiates an Encoder
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): constructor
- def call(self, x, training, mask): function that builds an Encoder
<|skeleton|>
... | 7d3b348aec3b20da25b162b71f150c87c7c28d71 | <|skeleton|>
class Encoder:
"""class that instantiates an Encoder"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""constructor"""
<|body_0|>
def call(self, x, training, mask):
"""function that builds an Encoder"""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Encoder:
"""class that instantiates an Encoder"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""constructor"""
super(Encoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(input_vocab, dm)
... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/9-transformer_encoder.py | dacastanogo/holbertonschool-machine_learning | train | 0 |
d540c358e93627be15b289cac6f8345c683de170 | [
"super().__init__(hyperparams, protocol_handler, data_handler, fl_model, **kwargs)\nself.name = 'ComparativeElimination'\nif hyperparams.get('initial_weights') is not None:\n if not self.current_model_weights:\n logger.info('Initializing the model using initial weights provided in config file')\n s... | <|body_start_0|>
super().__init__(hyperparams, protocol_handler, data_handler, fl_model, **kwargs)
self.name = 'ComparativeElimination'
if hyperparams.get('initial_weights') is not None:
if not self.current_model_weights:
logger.info('Initializing the model using init... | Class for Comparative Elimination (CE) Fusion Algorithm. This class implements the CE fusion algorithm presented here: https://arxiv.org/abs/2108.11769 The CE fusion algorithm is a Byzantine-robust fusion algorithm. At high level, the CE fusion algorithm sorts the parties according to their l2-distance from the current... | ComparativeEliminationFusionHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComparativeEliminationFusionHandler:
"""Class for Comparative Elimination (CE) Fusion Algorithm. This class implements the CE fusion algorithm presented here: https://arxiv.org/abs/2108.11769 The CE fusion algorithm is a Byzantine-robust fusion algorithm. At high level, the CE fusion algorithm so... | stack_v2_sparse_classes_36k_train_020245 | 8,132 | permissive | [
{
"docstring": "Initializes a ComparitiveEliminationFusionHandler object with provided information, such as hyperparams, protocol_handler, data_handler, and fl_model. :param hyperparams: Hyperparameters used for training :type hyperparams: `dict` :param protocol_handler: Protocol handler used for handling learn... | 3 | stack_v2_sparse_classes_30k_train_018808 | Implement the Python class `ComparativeEliminationFusionHandler` described below.
Class description:
Class for Comparative Elimination (CE) Fusion Algorithm. This class implements the CE fusion algorithm presented here: https://arxiv.org/abs/2108.11769 The CE fusion algorithm is a Byzantine-robust fusion algorithm. At... | Implement the Python class `ComparativeEliminationFusionHandler` described below.
Class description:
Class for Comparative Elimination (CE) Fusion Algorithm. This class implements the CE fusion algorithm presented here: https://arxiv.org/abs/2108.11769 The CE fusion algorithm is a Byzantine-robust fusion algorithm. At... | 64ffa2ee2e906b1bd6b3dd6aabcf6fc3de862608 | <|skeleton|>
class ComparativeEliminationFusionHandler:
"""Class for Comparative Elimination (CE) Fusion Algorithm. This class implements the CE fusion algorithm presented here: https://arxiv.org/abs/2108.11769 The CE fusion algorithm is a Byzantine-robust fusion algorithm. At high level, the CE fusion algorithm so... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ComparativeEliminationFusionHandler:
"""Class for Comparative Elimination (CE) Fusion Algorithm. This class implements the CE fusion algorithm presented here: https://arxiv.org/abs/2108.11769 The CE fusion algorithm is a Byzantine-robust fusion algorithm. At high level, the CE fusion algorithm sorts the parti... | the_stack_v2_python_sparse | debugging-constructs/ibmfl/aggregator/fusion/comparative_elimination_fusion_handler.py | SEED-VT/FedDebug | train | 8 |
cc860b29375d98cbbad73336b6919396ffa08e9c | [
"if not check_exist(file):\n assert False, 'Cannot find the KPOINTS file. Check the path: ' + file\nelse:\n self.kpoints = open(file, 'r').readlines()",
"plane = self.kpoints[0].split()[-5]\nkrange = np.float64(self.kpoints[0].split()[-4:-2])\nnpoint = np.int64(self.kpoints[0].split()[-2:])\nreturn (plane, ... | <|body_start_0|>
if not check_exist(file):
assert False, 'Cannot find the KPOINTS file. Check the path: ' + file
else:
self.kpoints = open(file, 'r').readlines()
<|end_body_0|>
<|body_start_1|>
plane = self.kpoints[0].split()[-5]
krange = np.float64(self.kpoints[... | KPOINTS | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KPOINTS:
def __init__(self, file='KPOINTS'):
"""Read KPOINTS TODO: extend it to Selective dynamics"""
<|body_0|>
def get_spin_kmesh(self):
"""Read the kmesh header"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not check_exist(file):
... | stack_v2_sparse_classes_36k_train_020246 | 31,019 | permissive | [
{
"docstring": "Read KPOINTS TODO: extend it to Selective dynamics",
"name": "__init__",
"signature": "def __init__(self, file='KPOINTS')"
},
{
"docstring": "Read the kmesh header",
"name": "get_spin_kmesh",
"signature": "def get_spin_kmesh(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013223 | Implement the Python class `KPOINTS` described below.
Class description:
Implement the KPOINTS class.
Method signatures and docstrings:
- def __init__(self, file='KPOINTS'): Read KPOINTS TODO: extend it to Selective dynamics
- def get_spin_kmesh(self): Read the kmesh header | Implement the Python class `KPOINTS` described below.
Class description:
Implement the KPOINTS class.
Method signatures and docstrings:
- def __init__(self, file='KPOINTS'): Read KPOINTS TODO: extend it to Selective dynamics
- def get_spin_kmesh(self): Read the kmesh header
<|skeleton|>
class KPOINTS:
def __ini... | 42945ee15465caa6fad1983597e23beac78b774d | <|skeleton|>
class KPOINTS:
def __init__(self, file='KPOINTS'):
"""Read KPOINTS TODO: extend it to Selective dynamics"""
<|body_0|>
def get_spin_kmesh(self):
"""Read the kmesh header"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KPOINTS:
def __init__(self, file='KPOINTS'):
"""Read KPOINTS TODO: extend it to Selective dynamics"""
if not check_exist(file):
assert False, 'Cannot find the KPOINTS file. Check the path: ' + file
else:
self.kpoints = open(file, 'r').readlines()
def get_sp... | the_stack_v2_python_sparse | mcu/vasp/vasp_io.py | hungpham2017/mcu | train | 44 | |
aa76ec9368d08b480e79a877b33e67664c409f22 | [
"last_page = 150\nfor i in range(1, last_page + 1):\n if i == 1:\n yield scrapy.Request(url=self.first_url, callback=self.parse)\n else:\n data = {'do': 'getLiveListByPage', 'm': 'LiveList', 'page': i, 'tagAll': '0'}\n axjx_url = self.axjx_url + urlencode(data)\n yield scrapy.Reque... | <|body_start_0|>
last_page = 150
for i in range(1, last_page + 1):
if i == 1:
yield scrapy.Request(url=self.first_url, callback=self.parse)
else:
data = {'do': 'getLiveListByPage', 'm': 'LiveList', 'page': i, 'tagAll': '0'}
axjx_url... | AllhostSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AllhostSpider:
def start_requests(self):
"""创建请求方法，访问所有子页面中的房间"""
<|body_0|>
def parse(self, response):
"""解析获取房间url,分2步，第一步获取首页，第二步获取ajax页"""
<|body_1|>
def parse_page(self, response):
"""解析房间详情信息"""
<|body_2|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_020247 | 3,722 | no_license | [
{
"docstring": "创建请求方法，访问所有子页面中的房间",
"name": "start_requests",
"signature": "def start_requests(self)"
},
{
"docstring": "解析获取房间url,分2步，第一步获取首页，第二步获取ajax页",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "解析房间详情信息",
"name": "parse_page",
"sign... | 3 | stack_v2_sparse_classes_30k_train_003085 | Implement the Python class `AllhostSpider` described below.
Class description:
Implement the AllhostSpider class.
Method signatures and docstrings:
- def start_requests(self): 创建请求方法，访问所有子页面中的房间
- def parse(self, response): 解析获取房间url,分2步，第一步获取首页，第二步获取ajax页
- def parse_page(self, response): 解析房间详情信息 | Implement the Python class `AllhostSpider` described below.
Class description:
Implement the AllhostSpider class.
Method signatures and docstrings:
- def start_requests(self): 创建请求方法，访问所有子页面中的房间
- def parse(self, response): 解析获取房间url,分2步，第一步获取首页，第二步获取ajax页
- def parse_page(self, response): 解析房间详情信息
<|skeleton|>
clas... | d324fbcb2c37a6a26ea8a7b7b26634b8ef0b9216 | <|skeleton|>
class AllhostSpider:
def start_requests(self):
"""创建请求方法，访问所有子页面中的房间"""
<|body_0|>
def parse(self, response):
"""解析获取房间url,分2步，第一步获取首页，第二步获取ajax页"""
<|body_1|>
def parse_page(self, response):
"""解析房间详情信息"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AllhostSpider:
def start_requests(self):
"""创建请求方法，访问所有子页面中的房间"""
last_page = 150
for i in range(1, last_page + 1):
if i == 1:
yield scrapy.Request(url=self.first_url, callback=self.parse)
else:
data = {'do': 'getLiveListByPage', ... | the_stack_v2_python_sparse | practice/huya/huya/spiders/allhost.py | lldfire/python_spider | train | 2 | |
5b2c30fb58f12e1338ee4c4155ec69f2068529ff | [
"s = Search(using=client, index='xfurda00_topics').query('match', subCallId=int(input_topic['subCallId'])).params(request_timeout=30)\nresponse = s.execute()\nif response.success() is True and response.hits.total > 0:\n meta_id = response.hits[0].meta.id\n return cls.get(id=meta_id)\nelse:\n return cls()",... | <|body_start_0|>
s = Search(using=client, index='xfurda00_topics').query('match', subCallId=int(input_topic['subCallId'])).params(request_timeout=30)
response = s.execute()
if response.success() is True and response.hits.total > 0:
meta_id = response.hits[0].meta.id
retur... | Elasticsearch mapping for Topic document | Topic | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Topic:
"""Elasticsearch mapping for Topic document"""
def findOrCreate(cls, input_topic):
"""Searches for an existing document of the topics and retrieves it. Creates a new one if wasn't found"""
<|body_0|>
def fillInfo(self, input_topic):
"""Fills in topic infor... | stack_v2_sparse_classes_36k_train_020248 | 8,126 | no_license | [
{
"docstring": "Searches for an existing document of the topics and retrieves it. Creates a new one if wasn't found",
"name": "findOrCreate",
"signature": "def findOrCreate(cls, input_topic)"
},
{
"docstring": "Fills in topic information from parsed JSON file",
"name": "fillInfo",
"signa... | 3 | stack_v2_sparse_classes_30k_train_002919 | Implement the Python class `Topic` described below.
Class description:
Elasticsearch mapping for Topic document
Method signatures and docstrings:
- def findOrCreate(cls, input_topic): Searches for an existing document of the topics and retrieves it. Creates a new one if wasn't found
- def fillInfo(self, input_topic):... | Implement the Python class `Topic` described below.
Class description:
Elasticsearch mapping for Topic document
Method signatures and docstrings:
- def findOrCreate(cls, input_topic): Searches for an existing document of the topics and retrieves it. Creates a new one if wasn't found
- def fillInfo(self, input_topic):... | e1f74157adbfb52629dbce20fb0434f41eeb5111 | <|skeleton|>
class Topic:
"""Elasticsearch mapping for Topic document"""
def findOrCreate(cls, input_topic):
"""Searches for an existing document of the topics and retrieves it. Creates a new one if wasn't found"""
<|body_0|>
def fillInfo(self, input_topic):
"""Fills in topic infor... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Topic:
"""Elasticsearch mapping for Topic document"""
def findOrCreate(cls, input_topic):
"""Searches for an existing document of the topics and retrieves it. Creates a new one if wasn't found"""
s = Search(using=client, index='xfurda00_topics').query('match', subCallId=int(input_topic['s... | the_stack_v2_python_sparse | src/topics_extractor/topics_extractor.py | JiriFurda/Bachelor-proj-2019 | train | 0 |
ecf0ae3302ffbf40b59515682ce2be3a81fed9f7 | [
"if not isinstance(delay, datetime.timedelta):\n raise WrongTypeParameter('delay')\nself.delay = delay\nself.type1 = type1\nself.type2 = type2\nself.type1_buff = []\nself.type2_buff = []\nself.pair_ready = []",
"second_report = main_buff[0]\ndiff = abs(report.timestamp - second_report.timestamp)\nwhile diff > ... | <|body_start_0|>
if not isinstance(delay, datetime.timedelta):
raise WrongTypeParameter('delay')
self.delay = delay
self.type1 = type1
self.type2 = type2
self.type1_buff = []
self.type2_buff = []
self.pair_ready = []
<|end_body_0|>
<|body_start_1|>
... | Sync class Class that receive asynchronous data and synchronize them using their timestamp | Sync | [
"BSD-3-Clause",
"Python-2.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Sync:
"""Sync class Class that receive asynchronous data and synchronize them using their timestamp"""
def __init__(self, type1, type2, delay):
"""type1 : Report -> bool. Function that return true if the report can be identified as the first type of report type2 : Report -> bool. Fun... | stack_v2_sparse_classes_36k_train_020249 | 5,043 | permissive | [
{
"docstring": "type1 : Report -> bool. Function that return true if the report can be identified as the first type of report type2 : Report -> bool. Function that return true if the report can be identified as the second type of report delay : float maximal delay, in second, that is allowed between two report ... | 4 | stack_v2_sparse_classes_30k_train_010872 | Implement the Python class `Sync` described below.
Class description:
Sync class Class that receive asynchronous data and synchronize them using their timestamp
Method signatures and docstrings:
- def __init__(self, type1, type2, delay): type1 : Report -> bool. Function that return true if the report can be identifie... | Implement the Python class `Sync` described below.
Class description:
Sync class Class that receive asynchronous data and synchronize them using their timestamp
Method signatures and docstrings:
- def __init__(self, type1, type2, delay): type1 : Report -> bool. Function that return true if the report can be identifie... | be3f1852ad38894c2bc487bbb3a30508ed8d6b50 | <|skeleton|>
class Sync:
"""Sync class Class that receive asynchronous data and synchronize them using their timestamp"""
def __init__(self, type1, type2, delay):
"""type1 : Report -> bool. Function that return true if the report can be identified as the first type of report type2 : Report -> bool. Fun... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Sync:
"""Sync class Class that receive asynchronous data and synchronize them using their timestamp"""
def __init__(self, type1, type2, delay):
"""type1 : Report -> bool. Function that return true if the report can be identified as the first type of report type2 : Report -> bool. Function that re... | the_stack_v2_python_sparse | powerapi/utils/sync.py | powerapi-ng/powerapi | train | 143 |
0cb2f3f2c585b665afa1daad007282903caa93a1 | [
"tk.Canvas.__init__(self, parent, **kwargs)\nself._color1 = color1\nself._color2 = color2\nself.bind('<Configure>', self._draw_gradient)\nself.config(relief='flat', highlightthickness=0)",
"self.delete('gradient')\nwidth = self.winfo_width()\nheight = self.winfo_height()\nlimit = width\nr1, g1, b1 = self.winfo_rg... | <|body_start_0|>
tk.Canvas.__init__(self, parent, **kwargs)
self._color1 = color1
self._color2 = color2
self.bind('<Configure>', self._draw_gradient)
self.config(relief='flat', highlightthickness=0)
<|end_body_0|>
<|body_start_1|>
self.delete('gradient')
width = ... | from Bryan Oakley on (https://stackoverflow.com/questions/26178869/ is-it-possible-to-apply-gradient-colours- to-bg-of-tkinter-python-widgets) A gradient frame which uses a canvas to draw the background parent: color11: 渐变颜色1 color22: 渐变颜色2 | GradientCanvas | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GradientCanvas:
"""from Bryan Oakley on (https://stackoverflow.com/questions/26178869/ is-it-possible-to-apply-gradient-colours- to-bg-of-tkinter-python-widgets) A gradient frame which uses a canvas to draw the background parent: color11: 渐变颜色1 color22: 渐变颜色2"""
def __init__(self, parent, co... | stack_v2_sparse_classes_36k_train_020250 | 19,682 | no_license | [
{
"docstring": "default gradient color: red to black",
"name": "__init__",
"signature": "def __init__(self, parent, color1='#ffc851', color2='#808000', **kwargs)"
},
{
"docstring": "Draw the gradient",
"name": "_draw_gradient",
"signature": "def _draw_gradient(self, event=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003915 | Implement the Python class `GradientCanvas` described below.
Class description:
from Bryan Oakley on (https://stackoverflow.com/questions/26178869/ is-it-possible-to-apply-gradient-colours- to-bg-of-tkinter-python-widgets) A gradient frame which uses a canvas to draw the background parent: color11: 渐变颜色1 color22: 渐变颜色... | Implement the Python class `GradientCanvas` described below.
Class description:
from Bryan Oakley on (https://stackoverflow.com/questions/26178869/ is-it-possible-to-apply-gradient-colours- to-bg-of-tkinter-python-widgets) A gradient frame which uses a canvas to draw the background parent: color11: 渐变颜色1 color22: 渐变颜色... | 440d168fd84bd98d2d9f2bc27b34ac9d7816a4e1 | <|skeleton|>
class GradientCanvas:
"""from Bryan Oakley on (https://stackoverflow.com/questions/26178869/ is-it-possible-to-apply-gradient-colours- to-bg-of-tkinter-python-widgets) A gradient frame which uses a canvas to draw the background parent: color11: 渐变颜色1 color22: 渐变颜色2"""
def __init__(self, parent, co... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GradientCanvas:
"""from Bryan Oakley on (https://stackoverflow.com/questions/26178869/ is-it-possible-to-apply-gradient-colours- to-bg-of-tkinter-python-widgets) A gradient frame which uses a canvas to draw the background parent: color11: 渐变颜色1 color22: 渐变颜色2"""
def __init__(self, parent, color1='#ffc851... | the_stack_v2_python_sparse | Lib/gpconfig/newGUI.py | hygnic/Gispot | train | 0 |
4061472183baafba4c0d96b78631a5ae5c39b39b | [
"names = names or utils.generate_ids()\nsnapshots = []\nfor name in names:\n snapshot = self._client.create(name=name, description=description, volume_id=volume.id)\n snapshots.append(snapshot)\nif check:\n for snapshot in snapshots:\n self.check_snapshot_status(snapshot, [config.STATUS_AVAILABLE], ... | <|body_start_0|>
names = names or utils.generate_ids()
snapshots = []
for name in names:
snapshot = self._client.create(name=name, description=description, volume_id=volume.id)
snapshots.append(snapshot)
if check:
for snapshot in snapshots:
... | Snapshot steps. | SnapshotSteps | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnapshotSteps:
"""Snapshot steps."""
def create_snapshots(self, volume, names=None, description=None, check=True):
"""Step to create snapshots. Args: volume (object): volume of the snapshots names (list): name of created snapshots, if not specified one snapshot name will be generated... | stack_v2_sparse_classes_36k_train_020251 | 6,612 | no_license | [
{
"docstring": "Step to create snapshots. Args: volume (object): volume of the snapshots names (list): name of created snapshots, if not specified one snapshot name will be generated description (str): snapshot description check (bool): flag whether to check step or not Returns: list: cinder volume snapshots Ra... | 6 | null | Implement the Python class `SnapshotSteps` described below.
Class description:
Snapshot steps.
Method signatures and docstrings:
- def create_snapshots(self, volume, names=None, description=None, check=True): Step to create snapshots. Args: volume (object): volume of the snapshots names (list): name of created snapsh... | Implement the Python class `SnapshotSteps` described below.
Class description:
Snapshot steps.
Method signatures and docstrings:
- def create_snapshots(self, volume, names=None, description=None, check=True): Step to create snapshots. Args: volume (object): volume of the snapshots names (list): name of created snapsh... | e7583444cd24893ec6ae237b47db7c605b99b0c5 | <|skeleton|>
class SnapshotSteps:
"""Snapshot steps."""
def create_snapshots(self, volume, names=None, description=None, check=True):
"""Step to create snapshots. Args: volume (object): volume of the snapshots names (list): name of created snapshots, if not specified one snapshot name will be generated... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SnapshotSteps:
"""Snapshot steps."""
def create_snapshots(self, volume, names=None, description=None, check=True):
"""Step to create snapshots. Args: volume (object): volume of the snapshots names (list): name of created snapshots, if not specified one snapshot name will be generated description ... | the_stack_v2_python_sparse | stepler/cinder/steps/snapshots.py | Mirantis/stepler | train | 16 |
48e98fd8b552613dd7e0fa4ec1d9ac6299b32494 | [
"if not root:\n return ''\nthe_list = list()\nbfs_queue = deque([root])\nwhile bfs_queue:\n node = bfs_queue.popleft()\n newList = ['-1', '-1', '-1']\n newList[0] = str(node.val)\n if node.left:\n bfs_queue.append(node.left)\n newList[1] = str(node.left.val)\n if node.right:\n ... | <|body_start_0|>
if not root:
return ''
the_list = list()
bfs_queue = deque([root])
while bfs_queue:
node = bfs_queue.popleft()
newList = ['-1', '-1', '-1']
newList[0] = str(node.val)
if node.left:
bfs_queue.appe... | 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|>
if not root:
... | stack_v2_sparse_classes_36k_train_020252 | 1,775 | 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... | 7818b55f22afb178dfd250f26019653faadfee87 | <|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_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
if not root:
return ''
the_list = list()
bfs_queue = deque([root])
while bfs_queue:
node = bfs_queue.popleft()
newList = ['-1', '-1', '-1']
... | the_stack_v2_python_sparse | LeetcodePython3/q0449.py | YujiaY/leetCodePractice | train | 0 | |
56db10d6252188e69f9a7a3b217e43dc785b6f7f | [
"self.rows = []\nself.cols = None\nif type(src) == str:\n utils.csv(src, self.add)\nelse:\n for v in src:\n self.add(v)",
"if self.cols:\n if not hasattr(t, 'cells'):\n t = row.ROW(t)\n self.rows.append(t)\n self.cols.add(t)\nelse:\n self.cols = cols.COLS(t)",
"data = DATA([self.... | <|body_start_0|>
self.rows = []
self.cols = None
if type(src) == str:
utils.csv(src, self.add)
else:
for v in src:
self.add(v)
<|end_body_0|>
<|body_start_1|>
if self.cols:
if not hasattr(t, 'cells'):
t = row.RO... | Stores rows, summarized into columns. | DATA | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DATA:
"""Stores rows, summarized into columns."""
def __init__(self, src=[]):
"""Constructor. Args: src (str/list, optional): Filename or list of data that DATA will be populated with. Defaults to []."""
<|body_0|>
def add(self, t):
"""Adds a new row and updates ... | stack_v2_sparse_classes_36k_train_020253 | 1,825 | permissive | [
{
"docstring": "Constructor. Args: src (str/list, optional): Filename or list of data that DATA will be populated with. Defaults to [].",
"name": "__init__",
"signature": "def __init__(self, src=[])"
},
{
"docstring": "Adds a new row and updates column headers. Args: t (list): Data that will eit... | 4 | stack_v2_sparse_classes_30k_train_005938 | Implement the Python class `DATA` described below.
Class description:
Stores rows, summarized into columns.
Method signatures and docstrings:
- def __init__(self, src=[]): Constructor. Args: src (str/list, optional): Filename or list of data that DATA will be populated with. Defaults to [].
- def add(self, t): Adds a... | Implement the Python class `DATA` described below.
Class description:
Stores rows, summarized into columns.
Method signatures and docstrings:
- def __init__(self, src=[]): Constructor. Args: src (str/list, optional): Filename or list of data that DATA will be populated with. Defaults to [].
- def add(self, t): Adds a... | e945665c701f4bd82dff7ced7bdc0f70add38774 | <|skeleton|>
class DATA:
"""Stores rows, summarized into columns."""
def __init__(self, src=[]):
"""Constructor. Args: src (str/list, optional): Filename or list of data that DATA will be populated with. Defaults to []."""
<|body_0|>
def add(self, t):
"""Adds a new row and updates ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DATA:
"""Stores rows, summarized into columns."""
def __init__(self, src=[]):
"""Constructor. Args: src (str/list, optional): Filename or list of data that DATA will be populated with. Defaults to []."""
self.rows = []
self.cols = None
if type(src) == str:
util... | the_stack_v2_python_sparse | src/Homework2/data.py | SelenaChen123/AutomatedSoftwareEngineering | train | 2 |
0548ffb517685355435c788e71568318e6325441 | [
"self._config = config\nself._game_env = importlib.import_module(config['env_path'])\nself._FEATURES = {'board_history': {'size': config['history_step'] * config['planes_per_step'], 'function': self.get_board_history}, 'color': {'size': 1, 'function': lambda state: np.ones((1, state.height, state.width)) * (state.c... | <|body_start_0|>
self._config = config
self._game_env = importlib.import_module(config['env_path'])
self._FEATURES = {'board_history': {'size': config['history_step'] * config['planes_per_step'], 'function': self.get_board_history}, 'color': {'size': 1, 'function': lambda state: np.ones((1, stat... | a class to convert from AlphaGo GameState objects to tensors of one-hot features for NN inputs | StateTensorConverter | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StateTensorConverter:
"""a class to convert from AlphaGo GameState objects to tensors of one-hot features for NN inputs"""
def __init__(self, config, feature_list=None):
"""create a preprocessor object that will concatenate together the given list of features"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_020254 | 6,274 | permissive | [
{
"docstring": "create a preprocessor object that will concatenate together the given list of features",
"name": "__init__",
"signature": "def __init__(self, config, feature_list=None)"
},
{
"docstring": "A feature encoding WHITE and BLACK on separate planes of recent history_length states Args:... | 3 | stack_v2_sparse_classes_30k_train_005876 | Implement the Python class `StateTensorConverter` described below.
Class description:
a class to convert from AlphaGo GameState objects to tensors of one-hot features for NN inputs
Method signatures and docstrings:
- def __init__(self, config, feature_list=None): create a preprocessor object that will concatenate tog... | Implement the Python class `StateTensorConverter` described below.
Class description:
a class to convert from AlphaGo GameState objects to tensors of one-hot features for NN inputs
Method signatures and docstrings:
- def __init__(self, config, feature_list=None): create a preprocessor object that will concatenate tog... | 920162071c7a1557cbf45ffdecd840ee2b25b88f | <|skeleton|>
class StateTensorConverter:
"""a class to convert from AlphaGo GameState objects to tensors of one-hot features for NN inputs"""
def __init__(self, config, feature_list=None):
"""create a preprocessor object that will concatenate together the given list of features"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StateTensorConverter:
"""a class to convert from AlphaGo GameState objects to tensors of one-hot features for NN inputs"""
def __init__(self, config, feature_list=None):
"""create a preprocessor object that will concatenate together the given list of features"""
self._config = config
... | the_stack_v2_python_sparse | AlphaZero/processing/state_converter.py | water-vapor/AlphaZero | train | 9 |
e7936574823b3a54b6fb376de1f70baad89dd8b1 | [
"self.identifiers = None\nself._real_scalers = None\nself._cat_scalers = None\nself._target_scaler = None\nself._num_classes_per_cat_input = None\nself._time_steps = get_fixed_params()['total_time_steps']\nself._num_encoder_steps = get_fixed_params()['num_encoder_steps']",
"print_info('Formatting train-valid-test... | <|body_start_0|>
self.identifiers = None
self._real_scalers = None
self._cat_scalers = None
self._target_scaler = None
self._num_classes_per_cat_input = None
self._time_steps = get_fixed_params()['total_time_steps']
self._num_encoder_steps = get_fixed_params()['nu... | Defines and formats data for the electricity dataset. Note that per-entity z-score normalization is used here, and is implemented across functions. Attributes: column_definition: Defines input and data type of column used in the experiment. identifiers: Entity identifiers used in experiments. | ElectricityFormatter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ElectricityFormatter:
"""Defines and formats data for the electricity dataset. Note that per-entity z-score normalization is used here, and is implemented across functions. Attributes: column_definition: Defines input and data type of column used in the experiment. identifiers: Entity identifiers... | stack_v2_sparse_classes_36k_train_020255 | 16,393 | permissive | [
{
"docstring": "Initialises formatter.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Splits data frame into training-validation-test data frames. This also calibrates scaling object, and transforms data for each split. Args: df: Source data frame to split. valid_boun... | 5 | stack_v2_sparse_classes_30k_train_019710 | Implement the Python class `ElectricityFormatter` described below.
Class description:
Defines and formats data for the electricity dataset. Note that per-entity z-score normalization is used here, and is implemented across functions. Attributes: column_definition: Defines input and data type of column used in the expe... | Implement the Python class `ElectricityFormatter` described below.
Class description:
Defines and formats data for the electricity dataset. Note that per-entity z-score normalization is used here, and is implemented across functions. Attributes: column_definition: Defines input and data type of column used in the expe... | 7929adbe91e9cfe8dc5dc1daad5ae7392f9719a0 | <|skeleton|>
class ElectricityFormatter:
"""Defines and formats data for the electricity dataset. Note that per-entity z-score normalization is used here, and is implemented across functions. Attributes: column_definition: Defines input and data type of column used in the experiment. identifiers: Entity identifiers... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ElectricityFormatter:
"""Defines and formats data for the electricity dataset. Note that per-entity z-score normalization is used here, and is implemented across functions. Attributes: column_definition: Defines input and data type of column used in the experiment. identifiers: Entity identifiers used in expe... | the_stack_v2_python_sparse | tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/electricity_time_series_forecasting.py | openvinotoolkit/open_model_zoo | train | 1,712 |
dcf928476a8b513aa23d3612769ff87814410418 | [
"super().__init__(s3_client)\nself.big_query_instance = big_query_instance or NpmBigQuery()\nself.big_query_content = list()\nself.counter = Counter()\nself.bucket_name = self.s3_client.bucket_name if self.s3_client else 'developer-analytics-audit-report'\nself.filename = '{}/big-query-data/{}'.format(os.getenv('DE... | <|body_start_0|>
super().__init__(s3_client)
self.big_query_instance = big_query_instance or NpmBigQuery()
self.big_query_content = list()
self.counter = Counter()
self.bucket_name = self.s3_client.bucket_name if self.s3_client else 'developer-analytics-audit-report'
self... | Implementation data processing for npm bigquery. | NpmBQDataProcessing | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NpmBQDataProcessing:
"""Implementation data processing for npm bigquery."""
def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'):
"""Initialize the BigQueryDataProcessing object."""
<|body_0|>
def process(self):
"""Process Npm Bi... | stack_v2_sparse_classes_36k_train_020256 | 4,542 | permissive | [
{
"docstring": "Initialize the BigQueryDataProcessing object.",
"name": "__init__",
"signature": "def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json')"
},
{
"docstring": "Process Npm Bigquery response data.",
"name": "process",
"signature": "def process(... | 4 | stack_v2_sparse_classes_30k_train_008152 | Implement the Python class `NpmBQDataProcessing` described below.
Class description:
Implementation data processing for npm bigquery.
Method signatures and docstrings:
- def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'): Initialize the BigQueryDataProcessing object.
- def process(... | Implement the Python class `NpmBQDataProcessing` described below.
Class description:
Implementation data processing for npm bigquery.
Method signatures and docstrings:
- def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'): Initialize the BigQueryDataProcessing object.
- def process(... | 98f5d8f6e402dfed3b9ba9385040eacbb0a12bc3 | <|skeleton|>
class NpmBQDataProcessing:
"""Implementation data processing for npm bigquery."""
def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'):
"""Initialize the BigQueryDataProcessing object."""
<|body_0|>
def process(self):
"""Process Npm Bi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NpmBQDataProcessing:
"""Implementation data processing for npm bigquery."""
def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'):
"""Initialize the BigQueryDataProcessing object."""
super().__init__(s3_client)
self.big_query_instance = big_query_i... | the_stack_v2_python_sparse | rudra/data_store/bigquery/npm_bigquery.py | fabric8-analytics/fabric8-analytics-rudra | train | 3 |
671b5ce6e736370771b54b63da500af5dac0c5ec | [
"self.aws_kms = aws_kms\nself.cryptsoft_kms = cryptsoft_kms\nself.id = id\nself.server_name = server_name",
"if dictionary is None:\n return None\naws_kms = cohesity_management_sdk.models.aws_kms_update_params.AwsKmsUpdateParams.from_dictionary(dictionary.get('awsKms')) if dictionary.get('awsKms') else None\nc... | <|body_start_0|>
self.aws_kms = aws_kms
self.cryptsoft_kms = cryptsoft_kms
self.id = id
self.server_name = server_name
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
aws_kms = cohesity_management_sdk.models.aws_kms_update_params.AwsKmsUpda... | Implementation of the 'KmsUpdateRequestParameters' model. Request to create a KMS with specified configuration. Attributes: aws_kms (AwsKmsUpdateParams): AWS KMS conifg. cryptsoft_kms (CryptsoftKmsUpdateParams): Cryptsoft KMS config. id (int): The Id of a KMS server. server_name (string): Specifies the name given to th... | KmsUpdateRequestParameters | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KmsUpdateRequestParameters:
"""Implementation of the 'KmsUpdateRequestParameters' model. Request to create a KMS with specified configuration. Attributes: aws_kms (AwsKmsUpdateParams): AWS KMS conifg. cryptsoft_kms (CryptsoftKmsUpdateParams): Cryptsoft KMS config. id (int): The Id of a KMS server... | stack_v2_sparse_classes_36k_train_020257 | 2,430 | permissive | [
{
"docstring": "Constructor for the KmsUpdateRequestParameters class",
"name": "__init__",
"signature": "def __init__(self, aws_kms=None, cryptsoft_kms=None, id=None, server_name=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictio... | 2 | stack_v2_sparse_classes_30k_train_006377 | Implement the Python class `KmsUpdateRequestParameters` described below.
Class description:
Implementation of the 'KmsUpdateRequestParameters' model. Request to create a KMS with specified configuration. Attributes: aws_kms (AwsKmsUpdateParams): AWS KMS conifg. cryptsoft_kms (CryptsoftKmsUpdateParams): Cryptsoft KMS c... | Implement the Python class `KmsUpdateRequestParameters` described below.
Class description:
Implementation of the 'KmsUpdateRequestParameters' model. Request to create a KMS with specified configuration. Attributes: aws_kms (AwsKmsUpdateParams): AWS KMS conifg. cryptsoft_kms (CryptsoftKmsUpdateParams): Cryptsoft KMS c... | 0093194d125fc6746f55b8499da1270c64f473fc | <|skeleton|>
class KmsUpdateRequestParameters:
"""Implementation of the 'KmsUpdateRequestParameters' model. Request to create a KMS with specified configuration. Attributes: aws_kms (AwsKmsUpdateParams): AWS KMS conifg. cryptsoft_kms (CryptsoftKmsUpdateParams): Cryptsoft KMS config. id (int): The Id of a KMS server... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KmsUpdateRequestParameters:
"""Implementation of the 'KmsUpdateRequestParameters' model. Request to create a KMS with specified configuration. Attributes: aws_kms (AwsKmsUpdateParams): AWS KMS conifg. cryptsoft_kms (CryptsoftKmsUpdateParams): Cryptsoft KMS config. id (int): The Id of a KMS server. server_name... | the_stack_v2_python_sparse | cohesity_management_sdk/models/kms_update_request_parameters.py | hsantoyo2/management-sdk-python | train | 0 |
fdfdc9deef7c9eaf453a35317d6cfc378447f169 | [
"self.estimation_skipped = estimation_skipped\nself.num_bytes_copied = num_bytes_copied\nself.num_directories_copied = num_directories_copied\nself.num_files_copied = num_files_copied\nself.total_bytes_to_copy = total_bytes_to_copy\nself.total_directories_to_copy = total_directories_to_copy\nself.total_files_to_cop... | <|body_start_0|>
self.estimation_skipped = estimation_skipped
self.num_bytes_copied = num_bytes_copied
self.num_directories_copied = num_directories_copied
self.num_files_copied = num_files_copied
self.total_bytes_to_copy = total_bytes_to_copy
self.total_directories_to_co... | Implementation of the 'RestoreFileCopyStats' model. This message captures the progress information regarding restore of file/directory. Attributes: estimation_skipped (bool): This will be set to true if the estimation step was skipped. NOTE: If estimation is skipped, then progress info will not be available. num_bytes_... | RestoreFileCopyStats | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RestoreFileCopyStats:
"""Implementation of the 'RestoreFileCopyStats' model. This message captures the progress information regarding restore of file/directory. Attributes: estimation_skipped (bool): This will be set to true if the estimation step was skipped. NOTE: If estimation is skipped, then... | stack_v2_sparse_classes_36k_train_020258 | 3,731 | permissive | [
{
"docstring": "Constructor for the RestoreFileCopyStats class",
"name": "__init__",
"signature": "def __init__(self, estimation_skipped=None, num_bytes_copied=None, num_directories_copied=None, num_files_copied=None, total_bytes_to_copy=None, total_directories_to_copy=None, total_files_to_copy=None)"
... | 2 | null | Implement the Python class `RestoreFileCopyStats` described below.
Class description:
Implementation of the 'RestoreFileCopyStats' model. This message captures the progress information regarding restore of file/directory. Attributes: estimation_skipped (bool): This will be set to true if the estimation step was skippe... | Implement the Python class `RestoreFileCopyStats` described below.
Class description:
Implementation of the 'RestoreFileCopyStats' model. This message captures the progress information regarding restore of file/directory. Attributes: estimation_skipped (bool): This will be set to true if the estimation step was skippe... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RestoreFileCopyStats:
"""Implementation of the 'RestoreFileCopyStats' model. This message captures the progress information regarding restore of file/directory. Attributes: estimation_skipped (bool): This will be set to true if the estimation step was skipped. NOTE: If estimation is skipped, then... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RestoreFileCopyStats:
"""Implementation of the 'RestoreFileCopyStats' model. This message captures the progress information regarding restore of file/directory. Attributes: estimation_skipped (bool): This will be set to true if the estimation step was skipped. NOTE: If estimation is skipped, then progress inf... | the_stack_v2_python_sparse | cohesity_management_sdk/models/restore_file_copy_stats.py | cohesity/management-sdk-python | train | 24 |
174b7c15465ac94860a1591cc032f9dde78c23fc | [
"if data == wtypes.Unset:\n return ''\nif not isinstance(data, bytes):\n data = data.encode('utf-8')\nreturn data",
"pyscripts = db_api.get_instance()\nscript_list = []\nscript_uuid_list = pyscripts.list_scripts()\nfor script_uuid in script_uuid_list:\n script_db = pyscripts.get_script(uuid=script_uuid)\... | <|body_start_0|>
if data == wtypes.Unset:
return ''
if not isinstance(data, bytes):
data = data.encode('utf-8')
return data
<|end_body_0|>
<|body_start_1|>
pyscripts = db_api.get_instance()
script_list = []
script_uuid_list = pyscripts.list_script... | Controller responsible of scripts management. | PyScriptsScriptsController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PyScriptsScriptsController:
"""Controller responsible of scripts management."""
def normalize_data(self, data):
"""Translate data to binary format if needed. :param data: Data to convert to binary type."""
<|body_0|>
def get_all(self, no_data=False):
"""Get the s... | stack_v2_sparse_classes_36k_train_020259 | 4,919 | permissive | [
{
"docstring": "Translate data to binary format if needed. :param data: Data to convert to binary type.",
"name": "normalize_data",
"signature": "def normalize_data(self, data)"
},
{
"docstring": "Get the script list :param no_data: Set to True to remove script data from output. :return: List of... | 6 | null | Implement the Python class `PyScriptsScriptsController` described below.
Class description:
Controller responsible of scripts management.
Method signatures and docstrings:
- def normalize_data(self, data): Translate data to binary format if needed. :param data: Data to convert to binary type.
- def get_all(self, no_d... | Implement the Python class `PyScriptsScriptsController` described below.
Class description:
Controller responsible of scripts management.
Method signatures and docstrings:
- def normalize_data(self, data): Translate data to binary format if needed. :param data: Data to convert to binary type.
- def get_all(self, no_d... | 94630b97cd1fb4bdd9a638070ffbbe3625de8aa2 | <|skeleton|>
class PyScriptsScriptsController:
"""Controller responsible of scripts management."""
def normalize_data(self, data):
"""Translate data to binary format if needed. :param data: Data to convert to binary type."""
<|body_0|>
def get_all(self, no_data=False):
"""Get the s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PyScriptsScriptsController:
"""Controller responsible of scripts management."""
def normalize_data(self, data):
"""Translate data to binary format if needed. :param data: Data to convert to binary type."""
if data == wtypes.Unset:
return ''
if not isinstance(data, byte... | the_stack_v2_python_sparse | cloudkitty/rating/pyscripts/controllers/script.py | openstack/cloudkitty | train | 103 |
071f4c03e46ce46c28cbbbd95c7d99f8c65b7268 | [
"def thd(engine):\n repo = migrate.versioning.repository.Repository(self.repo_path)\n repo_version = repo.latest\n try:\n schema = migrate.versioning.schema.ControlledSchema(engine, self.repo_path)\n db_version = schema.version\n except migrate.versioning.exceptions.DatabaseNotControlledEr... | <|body_start_0|>
def thd(engine):
repo = migrate.versioning.repository.Repository(self.repo_path)
repo_version = repo.latest
try:
schema = migrate.versioning.schema.ControlledSchema(engine, self.repo_path)
db_version = schema.version
... | DBConnector component to handle the database model; an instance is available at C{master.db.model}. This class has attributes for each defined table, as well as methods to handle schema migration (using sqlalchemy-migrate). View the source to see the table definitions. Note that the Buildbot metadata is never bound to ... | Model | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Model:
"""DBConnector component to handle the database model; an instance is available at C{master.db.model}. This class has attributes for each defined table, as well as methods to handle schema migration (using sqlalchemy-migrate). View the source to see the table definitions. Note that the Bui... | stack_v2_sparse_classes_36k_train_020260 | 19,379 | no_license | [
{
"docstring": "Returns true (via deferred) if the database's version is up to date.",
"name": "is_current",
"signature": "def is_current(self)"
},
{
"docstring": "Upgrade the database to the most recent schema version, returning a deferred.",
"name": "upgrade",
"signature": "def upgrade... | 2 | null | Implement the Python class `Model` described below.
Class description:
DBConnector component to handle the database model; an instance is available at C{master.db.model}. This class has attributes for each defined table, as well as methods to handle schema migration (using sqlalchemy-migrate). View the source to see t... | Implement the Python class `Model` described below.
Class description:
DBConnector component to handle the database model; an instance is available at C{master.db.model}. This class has attributes for each defined table, as well as methods to handle schema migration (using sqlalchemy-migrate). View the source to see t... | 8f2806e1b83ff1df5f6f6313089c0d1d1f2fe288 | <|skeleton|>
class Model:
"""DBConnector component to handle the database model; an instance is available at C{master.db.model}. This class has attributes for each defined table, as well as methods to handle schema migration (using sqlalchemy-migrate). View the source to see the table definitions. Note that the Bui... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Model:
"""DBConnector component to handle the database model; an instance is available at C{master.db.model}. This class has attributes for each defined table, as well as methods to handle schema migration (using sqlalchemy-migrate). View the source to see the table definitions. Note that the Buildbot metadat... | the_stack_v2_python_sparse | Lib/site-packages/buildbot/db/model.py | acmiyaguchi/buildbotve | train | 0 |
3174f358a133df37426375e232b458d47dfdd80f | [
"all_actions = [str(a) for a in all_actions]\nself.all_actions = sorted(all_actions)\nself.actionstr_to_idx = {str(a): i for i, a in enumerate(self.all_actions)}\nself.all_obs = {'a': sorted(all_obs, key=lambda x: not has_player_ref(x, 'a')), 'b': sorted(all_obs, key=lambda x: not has_player_ref(x, 'b'))}\nself.obs... | <|body_start_0|>
all_actions = [str(a) for a in all_actions]
self.all_actions = sorted(all_actions)
self.actionstr_to_idx = {str(a): i for i, a in enumerate(self.all_actions)}
self.all_obs = {'a': sorted(all_obs, key=lambda x: not has_player_ref(x, 'a')), 'b': sorted(all_obs, key=lambda ... | A class used to encode a game definition and its states and actions into valued vectors using a hot-one encoding | GameEncoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameEncoder:
"""A class used to encode a game definition and its states and actions into valued vectors using a hot-one encoding"""
def __init__(self, all_actions, all_obs):
"""Creates a game encoder from a game_def. Args: all_actions (list): A list will all the possible actions all_... | stack_v2_sparse_classes_36k_train_020261 | 3,930 | no_license | [
{
"docstring": "Creates a game encoder from a game_def. Args: all_actions (list): A list will all the possible actions all_obs (list): A list with all possible observations (fluents) Automatically computed attributes: actionstr_to_idx (dic): A dictionary that given a string representation of an action will retu... | 5 | stack_v2_sparse_classes_30k_train_002084 | Implement the Python class `GameEncoder` described below.
Class description:
A class used to encode a game definition and its states and actions into valued vectors using a hot-one encoding
Method signatures and docstrings:
- def __init__(self, all_actions, all_obs): Creates a game encoder from a game_def. Args: all_... | Implement the Python class `GameEncoder` described below.
Class description:
A class used to encode a game definition and its states and actions into valued vectors using a hot-one encoding
Method signatures and docstrings:
- def __init__(self, all_actions, all_obs): Creates a game encoder from a game_def. Args: all_... | d4ef7595c2b9be928ab99eb0c6e18b2ee6b87f67 | <|skeleton|>
class GameEncoder:
"""A class used to encode a game definition and its states and actions into valued vectors using a hot-one encoding"""
def __init__(self, all_actions, all_obs):
"""Creates a game encoder from a game_def. Args: all_actions (list): A list will all the possible actions all_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GameEncoder:
"""A class used to encode a game definition and its states and actions into valued vectors using a hot-one encoding"""
def __init__(self, all_actions, all_obs):
"""Creates a game encoder from a game_def. Args: all_actions (list): A list will all the possible actions all_obs (list): A... | the_stack_v2_python_sparse | src/structures/game_encoder.py | susuhahnml/asp-game-ml-strategies | train | 1 |
a17927e3d2953aeb9956b37e9c1924ff3d06a7a1 | [
"median = raw_scores[test_key]\nscore = 0\nif 'hostconn' == test_key:\n if median > 2:\n score = 100\n elif median == 2:\n score = 50\n else:\n score = 0\nelif 'maxconn' == test_key:\n if median > 20:\n score = 100\n elif median >= 10:\n score = 50\n else:\n ... | <|body_start_0|>
median = raw_scores[test_key]
score = 0
if 'hostconn' == test_key:
if median > 2:
score = 100
elif median == 2:
score = 50
else:
score = 0
elif 'maxconn' == test_key:
if media... | CookiesTestSet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CookiesTestSet:
def GetTestScoreAndDisplayValue(self, test_key, raw_scores):
"""Get a normalized score (0 to 100) and a value to output to the display. Args: test_key: a key for a test_set test. raw_scores: a dict of raw_scores indexed by test keys. Returns: score, display_value # score ... | stack_v2_sparse_classes_36k_train_020262 | 7,631 | permissive | [
{
"docstring": "Get a normalized score (0 to 100) and a value to output to the display. Args: test_key: a key for a test_set test. raw_scores: a dict of raw_scores indexed by test keys. Returns: score, display_value # score is from 0 to 100. # display_value is the text for the cell.",
"name": "GetTestScoreA... | 2 | stack_v2_sparse_classes_30k_train_020114 | Implement the Python class `CookiesTestSet` described below.
Class description:
Implement the CookiesTestSet class.
Method signatures and docstrings:
- def GetTestScoreAndDisplayValue(self, test_key, raw_scores): Get a normalized score (0 to 100) and a value to output to the display. Args: test_key: a key for a test_... | Implement the Python class `CookiesTestSet` described below.
Class description:
Implement the CookiesTestSet class.
Method signatures and docstrings:
- def GetTestScoreAndDisplayValue(self, test_key, raw_scores): Get a normalized score (0 to 100) and a value to output to the display. Args: test_key: a key for a test_... | f0b3670d4692742d5f2e6cf605bce9b1a4b8ca1b | <|skeleton|>
class CookiesTestSet:
def GetTestScoreAndDisplayValue(self, test_key, raw_scores):
"""Get a normalized score (0 to 100) and a value to output to the display. Args: test_key: a key for a test_set test. raw_scores: a dict of raw_scores indexed by test keys. Returns: score, display_value # score ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CookiesTestSet:
def GetTestScoreAndDisplayValue(self, test_key, raw_scores):
"""Get a normalized score (0 to 100) and a value to output to the display. Args: test_key: a key for a test_set test. raw_scores: a dict of raw_scores indexed by test keys. Returns: score, display_value # score is from 0 to 1... | the_stack_v2_python_sparse | categories/cookies/test_set.py | IIKovalenko/browserscope | train | 1 | |
c85a64827772d4b4b2c719d37fe796caefaa3245 | [
"try:\n login_time = int(time.time())\n lens = len(config.SECRET_KEY)\n lenx = lens - (lens % 4 if lens % 4 else 4)\n secret = base64.decodestring(config.SECRET_KEY[:lenx])\n payload = {'exp': datetime.datetime.utcnow() + datetime.timedelta(days=0, seconds=10), 'userid': user_id, 'sub': user_name, 'a... | <|body_start_0|>
try:
login_time = int(time.time())
lens = len(config.SECRET_KEY)
lenx = lens - (lens % 4 if lens % 4 else 4)
secret = base64.decodestring(config.SECRET_KEY[:lenx])
payload = {'exp': datetime.datetime.utcnow() + datetime.timedelta(days=... | Auth | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Auth:
def encode_auth_token(user_id, user_name):
"""生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string"""
<|body_0|>
def decode_auth_token(auth_token):
"""验证Token :param auth_token: :return: integer|string"""
<|body_1|>
def a... | stack_v2_sparse_classes_36k_train_020263 | 3,926 | no_license | [
{
"docstring": "生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string",
"name": "encode_auth_token",
"signature": "def encode_auth_token(user_id, user_name)"
},
{
"docstring": "验证Token :param auth_token: :return: integer|string",
"name": "decode_auth_token",
"si... | 4 | stack_v2_sparse_classes_30k_train_002326 | Implement the Python class `Auth` described below.
Class description:
Implement the Auth class.
Method signatures and docstrings:
- def encode_auth_token(user_id, user_name): 生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string
- def decode_auth_token(auth_token): 验证Token :param auth_token:... | Implement the Python class `Auth` described below.
Class description:
Implement the Auth class.
Method signatures and docstrings:
- def encode_auth_token(user_id, user_name): 生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string
- def decode_auth_token(auth_token): 验证Token :param auth_token:... | ae330a3698afda59ed3f5e75198b55571fe80030 | <|skeleton|>
class Auth:
def encode_auth_token(user_id, user_name):
"""生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string"""
<|body_0|>
def decode_auth_token(auth_token):
"""验证Token :param auth_token: :return: integer|string"""
<|body_1|>
def a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Auth:
def encode_auth_token(user_id, user_name):
"""生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string"""
try:
login_time = int(time.time())
lens = len(config.SECRET_KEY)
lenx = lens - (lens % 4 if lens % 4 else 4)
se... | the_stack_v2_python_sparse | app/auth/auths.py | jetyang2005/flask_ml | train | 1 | |
ef3678afef6f632b26c0e14a6963f72d7063b05f | [
"print('Loaded ' + model_dir + model_name)\nself.nS, self.nU = (16, 2)\nself.maxU, self.minU = (np.array([1.8, 140.0]), np.array([0.57, 75.0]))\nself.x0mu, self.x0sig = (870, 12)\nmodel_cfg = DotMap(model_dir=model_dir, name=model_name, load_model=True)\nself.model = BNN(model_cfg)\nself.model.finalize(tf.train.Ada... | <|body_start_0|>
print('Loaded ' + model_dir + model_name)
self.nS, self.nU = (16, 2)
self.maxU, self.minU = (np.array([1.8, 140.0]), np.array([0.57, 75.0]))
self.x0mu, self.x0sig = (870, 12)
model_cfg = DotMap(model_dir=model_dir, name=model_name, load_model=True)
self.m... | MachineModelEnv | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MachineModelEnv:
def __init__(self, model_dir, model_name, ac_cost, state_cost, stochastic=True, randInit=True):
"""Inputs: model_dir (str), location of files from which to save model model_name (str), name of model (same as that of the saved files) cannot be 'model' (errors raised in MP... | stack_v2_sparse_classes_36k_train_020264 | 3,199 | no_license | [
{
"docstring": "Inputs: model_dir (str), location of files from which to save model model_name (str), name of model (same as that of the saved files) cannot be 'model' (errors raised in MPC) ac_cost (func), returns cost associated with a particular action state_cost (func), returns cost associated with a partic... | 4 | stack_v2_sparse_classes_30k_train_003921 | Implement the Python class `MachineModelEnv` described below.
Class description:
Implement the MachineModelEnv class.
Method signatures and docstrings:
- def __init__(self, model_dir, model_name, ac_cost, state_cost, stochastic=True, randInit=True): Inputs: model_dir (str), location of files from which to save model ... | Implement the Python class `MachineModelEnv` described below.
Class description:
Implement the MachineModelEnv class.
Method signatures and docstrings:
- def __init__(self, model_dir, model_name, ac_cost, state_cost, stochastic=True, randInit=True): Inputs: model_dir (str), location of files from which to save model ... | b3384e8109f73e91925ea70fa100ea881fc9763d | <|skeleton|>
class MachineModelEnv:
def __init__(self, model_dir, model_name, ac_cost, state_cost, stochastic=True, randInit=True):
"""Inputs: model_dir (str), location of files from which to save model model_name (str), name of model (same as that of the saved files) cannot be 'model' (errors raised in MP... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MachineModelEnv:
def __init__(self, model_dir, model_name, ac_cost, state_cost, stochastic=True, randInit=True):
"""Inputs: model_dir (str), location of files from which to save model model_name (str), name of model (same as that of the saved files) cannot be 'model' (errors raised in MPC) ac_cost (fu... | the_stack_v2_python_sparse | sim_model/machine_model.py | RicardoDominguez/machine-control | train | 0 | |
61fe90763c060ddfb2ad7768456acf1dc3c813d4 | [
"self.environment = environment\nself.relative_snapshot_directory = relative_snapshot_directory\nself.root_path = root_path\nself.source_snapshot_create_time_usecs = source_snapshot_create_time_usecs\nself.source_snapshot_name = source_snapshot_name\nself.view_name = view_name",
"if dictionary is None:\n retur... | <|body_start_0|>
self.environment = environment
self.relative_snapshot_directory = relative_snapshot_directory
self.root_path = root_path
self.source_snapshot_create_time_usecs = source_snapshot_create_time_usecs
self.source_snapshot_name = source_snapshot_name
self.view_... | Implementation of the 'SnapshotInfo' model. Specifies details about the snapshot task created to backup or copy one source object like a VM. Attributes: environment (EnvironmentSnapshotInfoEnum): Specifies the environment type (such as kVMware or kSQL) that contains the source to backup. Supported environment types suc... | SnapshotInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnapshotInfo:
"""Implementation of the 'SnapshotInfo' model. Specifies details about the snapshot task created to backup or copy one source object like a VM. Attributes: environment (EnvironmentSnapshotInfoEnum): Specifies the environment type (such as kVMware or kSQL) that contains the source to... | stack_v2_sparse_classes_36k_train_020265 | 7,355 | permissive | [
{
"docstring": "Constructor for the SnapshotInfo class",
"name": "__init__",
"signature": "def __init__(self, environment=None, relative_snapshot_directory=None, root_path=None, source_snapshot_create_time_usecs=None, source_snapshot_name=None, view_name=None)"
},
{
"docstring": "Creates an inst... | 2 | stack_v2_sparse_classes_30k_train_019249 | Implement the Python class `SnapshotInfo` described below.
Class description:
Implementation of the 'SnapshotInfo' model. Specifies details about the snapshot task created to backup or copy one source object like a VM. Attributes: environment (EnvironmentSnapshotInfoEnum): Specifies the environment type (such as kVMwa... | Implement the Python class `SnapshotInfo` described below.
Class description:
Implementation of the 'SnapshotInfo' model. Specifies details about the snapshot task created to backup or copy one source object like a VM. Attributes: environment (EnvironmentSnapshotInfoEnum): Specifies the environment type (such as kVMwa... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class SnapshotInfo:
"""Implementation of the 'SnapshotInfo' model. Specifies details about the snapshot task created to backup or copy one source object like a VM. Attributes: environment (EnvironmentSnapshotInfoEnum): Specifies the environment type (such as kVMware or kSQL) that contains the source to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SnapshotInfo:
"""Implementation of the 'SnapshotInfo' model. Specifies details about the snapshot task created to backup or copy one source object like a VM. Attributes: environment (EnvironmentSnapshotInfoEnum): Specifies the environment type (such as kVMware or kSQL) that contains the source to backup. Supp... | the_stack_v2_python_sparse | cohesity_management_sdk/models/snapshot_info.py | cohesity/management-sdk-python | train | 24 |
f0ab0569da86f0794dc9af9bcf3226a44e534656 | [
"res = super(ResConfigSettings, self).get_values()\nparams = self.env['ir.config_parameter'].sudo().get_param\npos_all_order = params('pos_all_orders.pos_all_order')\nn_days = params('pos_all_orders.n_days')\nres.update(pos_all_order=pos_all_order, n_days=n_days)\nreturn res",
"super(ResConfigSettings, self).set_... | <|body_start_0|>
res = super(ResConfigSettings, self).get_values()
params = self.env['ir.config_parameter'].sudo().get_param
pos_all_order = params('pos_all_orders.pos_all_order')
n_days = params('pos_all_orders.n_days')
res.update(pos_all_order=pos_all_order, n_days=n_days)
... | ResConfigSettings | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResConfigSettings:
def get_values(self):
"""get values from the fields"""
<|body_0|>
def set_values(self):
"""Set values in the fields"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = super(ResConfigSettings, self).get_values()
params =... | stack_v2_sparse_classes_36k_train_020266 | 4,742 | no_license | [
{
"docstring": "get values from the fields",
"name": "get_values",
"signature": "def get_values(self)"
},
{
"docstring": "Set values in the fields",
"name": "set_values",
"signature": "def set_values(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011742 | Implement the Python class `ResConfigSettings` described below.
Class description:
Implement the ResConfigSettings class.
Method signatures and docstrings:
- def get_values(self): get values from the fields
- def set_values(self): Set values in the fields | Implement the Python class `ResConfigSettings` described below.
Class description:
Implement the ResConfigSettings class.
Method signatures and docstrings:
- def get_values(self): get values from the fields
- def set_values(self): Set values in the fields
<|skeleton|>
class ResConfigSettings:
def get_values(sel... | 4b1bcb8f17aad44fe9c80a8180eb0128e6bb2c14 | <|skeleton|>
class ResConfigSettings:
def get_values(self):
"""get values from the fields"""
<|body_0|>
def set_values(self):
"""Set values in the fields"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResConfigSettings:
def get_values(self):
"""get values from the fields"""
res = super(ResConfigSettings, self).get_values()
params = self.env['ir.config_parameter'].sudo().get_param
pos_all_order = params('pos_all_orders.pos_all_order')
n_days = params('pos_all_orders.n... | the_stack_v2_python_sparse | pos_all_orders/models/pos_session.py | CybroOdoo/CybroAddons | train | 209 | |
09b2cc64b876f149e10e7fbef582ea1331c4431c | [
"if prev_buffer is None:\n self.states = []\n self.actions = []\n self.rewards = []\n self.dones = []\n self.exits = []\n self.next_states = []\n self.position = 0\n self.capacity = float(capacity)\nelse:\n fill = min(capacity, prev_buffer.capacity)\n self.states = prev_buffer.states[-... | <|body_start_0|>
if prev_buffer is None:
self.states = []
self.actions = []
self.rewards = []
self.dones = []
self.exits = []
self.next_states = []
self.position = 0
self.capacity = float(capacity)
else:
... | ReplayBuffer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReplayBuffer:
def __init__(self, capacity, prev_buffer=None):
"""This class implements a replay buffer where the relevant information of past experiences is stored and can be sampled from. :param capacity: (int) The desired capacity of the buffer. No more than this number of replay data ... | stack_v2_sparse_classes_36k_train_020267 | 5,651 | no_license | [
{
"docstring": "This class implements a replay buffer where the relevant information of past experiences is stored and can be sampled from. :param capacity: (int) The desired capacity of the buffer. No more than this number of replay data will be stored. :param prev_buffer: (ReplayBuffer) A previously collected... | 3 | stack_v2_sparse_classes_30k_train_001735 | Implement the Python class `ReplayBuffer` described below.
Class description:
Implement the ReplayBuffer class.
Method signatures and docstrings:
- def __init__(self, capacity, prev_buffer=None): This class implements a replay buffer where the relevant information of past experiences is stored and can be sampled from... | Implement the Python class `ReplayBuffer` described below.
Class description:
Implement the ReplayBuffer class.
Method signatures and docstrings:
- def __init__(self, capacity, prev_buffer=None): This class implements a replay buffer where the relevant information of past experiences is stored and can be sampled from... | 517a355f174346e0c99320a01bf597095a632341 | <|skeleton|>
class ReplayBuffer:
def __init__(self, capacity, prev_buffer=None):
"""This class implements a replay buffer where the relevant information of past experiences is stored and can be sampled from. :param capacity: (int) The desired capacity of the buffer. No more than this number of replay data ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReplayBuffer:
def __init__(self, capacity, prev_buffer=None):
"""This class implements a replay buffer where the relevant information of past experiences is stored and can be sampled from. :param capacity: (int) The desired capacity of the buffer. No more than this number of replay data will be stored... | the_stack_v2_python_sparse | utils/replay_buffer.py | nphamilton/rl_library | train | 2 | |
dc53df9448c0be28b7793616e9afa47ca9da9db9 | [
"self.chassis_serial = chassis_serial\nself.connected_to = connected_to\nself.hostname = hostname\nself.id = id\nself.ip = ip\nself.ipmi_ip = ipmi_ip\nself.ips = ips\nself.node_serial = node_serial\nself.node_ui_slot = node_ui_slot\nself.num_slots_in_chassis = num_slots_in_chassis\nself.product_model = product_mode... | <|body_start_0|>
self.chassis_serial = chassis_serial
self.connected_to = connected_to
self.hostname = hostname
self.id = id
self.ip = ip
self.ipmi_ip = ipmi_ip
self.ips = ips
self.node_serial = node_serial
self.node_ui_slot = node_ui_slot
... | Implementation of the 'FreeNodeInformation' model. Specifies the Metadata of a free Node on the network. Attributes: chassis_serial (string): Specifies the serial number of the Chassis the Node is installed in. connected_to (bool): Specifies whether or not this is the Node that is sending the response. hostname (string... | FreeNodeInformation | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FreeNodeInformation:
"""Implementation of the 'FreeNodeInformation' model. Specifies the Metadata of a free Node on the network. Attributes: chassis_serial (string): Specifies the serial number of the Chassis the Node is installed in. connected_to (bool): Specifies whether or not this is the Node... | stack_v2_sparse_classes_36k_train_020268 | 4,722 | permissive | [
{
"docstring": "Constructor for the FreeNodeInformation class",
"name": "__init__",
"signature": "def __init__(self, chassis_serial=None, connected_to=None, hostname=None, id=None, ip=None, ipmi_ip=None, ips=None, node_serial=None, node_ui_slot=None, num_slots_in_chassis=None, product_model=None, slot_n... | 2 | stack_v2_sparse_classes_30k_train_019975 | Implement the Python class `FreeNodeInformation` described below.
Class description:
Implementation of the 'FreeNodeInformation' model. Specifies the Metadata of a free Node on the network. Attributes: chassis_serial (string): Specifies the serial number of the Chassis the Node is installed in. connected_to (bool): Sp... | Implement the Python class `FreeNodeInformation` described below.
Class description:
Implementation of the 'FreeNodeInformation' model. Specifies the Metadata of a free Node on the network. Attributes: chassis_serial (string): Specifies the serial number of the Chassis the Node is installed in. connected_to (bool): Sp... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class FreeNodeInformation:
"""Implementation of the 'FreeNodeInformation' model. Specifies the Metadata of a free Node on the network. Attributes: chassis_serial (string): Specifies the serial number of the Chassis the Node is installed in. connected_to (bool): Specifies whether or not this is the Node... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FreeNodeInformation:
"""Implementation of the 'FreeNodeInformation' model. Specifies the Metadata of a free Node on the network. Attributes: chassis_serial (string): Specifies the serial number of the Chassis the Node is installed in. connected_to (bool): Specifies whether or not this is the Node that is send... | the_stack_v2_python_sparse | cohesity_management_sdk/models/free_node_information.py | cohesity/management-sdk-python | train | 24 |
56f51b3403ad229105b492b082a63caafd4b4099 | [
"left = 1\nright = len(nums)\nresult = 0\nwhile left <= right:\n mid = left + (right - left) // 2\n tmp = self.windowex(nums, mid, s)\n if tmp:\n right = mid - 1\n result = mid\n else:\n left = mid + 1\nreturn result",
"sumnum = 0\nfor i in range(len(nums)):\n if i >= size:\n ... | <|body_start_0|>
left = 1
right = len(nums)
result = 0
while left <= right:
mid = left + (right - left) // 2
tmp = self.windowex(nums, mid, s)
if tmp:
right = mid - 1
result = mid
else:
left =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minSubArrayLen(self, s: int, nums: [int]) -> int:
"""二分查找法 o(nlogn) 将原数组分为两部分，0~mid作为一个窗口大小，遍历整个数组， 如果一旦满足，窗口内的和>=s，则将mid-1作为右边界，形成新的mid窗口，进行遍历 如果窗口内 :param s: :param nums: :return:"""
<|body_0|>
def windowex(self, nums, size, s):
"""判断在窗口中，是否和>s :param... | stack_v2_sparse_classes_36k_train_020269 | 2,091 | no_license | [
{
"docstring": "二分查找法 o(nlogn) 将原数组分为两部分，0~mid作为一个窗口大小，遍历整个数组， 如果一旦满足，窗口内的和>=s，则将mid-1作为右边界，形成新的mid窗口，进行遍历 如果窗口内 :param s: :param nums: :return:",
"name": "minSubArrayLen",
"signature": "def minSubArrayLen(self, s: int, nums: [int]) -> int"
},
{
"docstring": "判断在窗口中，是否和>s :param nums: :param siz... | 2 | stack_v2_sparse_classes_30k_train_000222 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSubArrayLen(self, s: int, nums: [int]) -> int: 二分查找法 o(nlogn) 将原数组分为两部分，0~mid作为一个窗口大小，遍历整个数组， 如果一旦满足，窗口内的和>=s，则将mid-1作为右边界，形成新的mid窗口，进行遍历 如果窗口内 :param s: :param nums: :ret... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSubArrayLen(self, s: int, nums: [int]) -> int: 二分查找法 o(nlogn) 将原数组分为两部分，0~mid作为一个窗口大小，遍历整个数组， 如果一旦满足，窗口内的和>=s，则将mid-1作为右边界，形成新的mid窗口，进行遍历 如果窗口内 :param s: :param nums: :ret... | f68e60dd1d8bb010cdae88e6273b3fac4ea48776 | <|skeleton|>
class Solution:
def minSubArrayLen(self, s: int, nums: [int]) -> int:
"""二分查找法 o(nlogn) 将原数组分为两部分，0~mid作为一个窗口大小，遍历整个数组， 如果一旦满足，窗口内的和>=s，则将mid-1作为右边界，形成新的mid窗口，进行遍历 如果窗口内 :param s: :param nums: :return:"""
<|body_0|>
def windowex(self, nums, size, s):
"""判断在窗口中，是否和>s :param... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minSubArrayLen(self, s: int, nums: [int]) -> int:
"""二分查找法 o(nlogn) 将原数组分为两部分，0~mid作为一个窗口大小，遍历整个数组， 如果一旦满足，窗口内的和>=s，则将mid-1作为右边界，形成新的mid窗口，进行遍历 如果窗口内 :param s: :param nums: :return:"""
left = 1
right = len(nums)
result = 0
while left <= right:
... | the_stack_v2_python_sparse | string/209_minSubArrayLen.py | liying123456/python_leetcode | train | 0 | |
c568ca0b3b343d9f9dde8a578009d3c08b4bc0ba | [
"self.data_governance = data_governance\nself.data_protect = data_protect\nself.ransomware = ransomware\nself.site_continuity = site_continuity",
"if dictionary is None:\n return None\ndata_governance = cohesity_management_sdk.models.data_governance_info.DataGovernanceInfo.from_dictionary(dictionary.get('dataG... | <|body_start_0|>
self.data_governance = data_governance
self.data_protect = data_protect
self.ransomware = ransomware
self.site_continuity = site_continuity
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
data_governance = cohesity_manageme... | Implementation of the 'SubscriptionInfo' model. Extends this to have Helios, DRaaS and DSaaS. Attributes: data_governance (DataGovernanceInfo): Specifies whether data governance subscription was/is enabled for account. data_protect (DataProtectInfo): Specifies whether data protect subscription was subscribed for accoun... | SubscriptionInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubscriptionInfo:
"""Implementation of the 'SubscriptionInfo' model. Extends this to have Helios, DRaaS and DSaaS. Attributes: data_governance (DataGovernanceInfo): Specifies whether data governance subscription was/is enabled for account. data_protect (DataProtectInfo): Specifies whether data pr... | stack_v2_sparse_classes_36k_train_020270 | 3,159 | permissive | [
{
"docstring": "Constructor for the SubscriptionInfo class",
"name": "__init__",
"signature": "def __init__(self, data_governance=None, data_protect=None, ransomware=None, site_continuity=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary):... | 2 | null | Implement the Python class `SubscriptionInfo` described below.
Class description:
Implementation of the 'SubscriptionInfo' model. Extends this to have Helios, DRaaS and DSaaS. Attributes: data_governance (DataGovernanceInfo): Specifies whether data governance subscription was/is enabled for account. data_protect (Data... | Implement the Python class `SubscriptionInfo` described below.
Class description:
Implementation of the 'SubscriptionInfo' model. Extends this to have Helios, DRaaS and DSaaS. Attributes: data_governance (DataGovernanceInfo): Specifies whether data governance subscription was/is enabled for account. data_protect (Data... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class SubscriptionInfo:
"""Implementation of the 'SubscriptionInfo' model. Extends this to have Helios, DRaaS and DSaaS. Attributes: data_governance (DataGovernanceInfo): Specifies whether data governance subscription was/is enabled for account. data_protect (DataProtectInfo): Specifies whether data pr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SubscriptionInfo:
"""Implementation of the 'SubscriptionInfo' model. Extends this to have Helios, DRaaS and DSaaS. Attributes: data_governance (DataGovernanceInfo): Specifies whether data governance subscription was/is enabled for account. data_protect (DataProtectInfo): Specifies whether data protect subscri... | the_stack_v2_python_sparse | cohesity_management_sdk/models/subscription_info.py | cohesity/management-sdk-python | train | 24 |
5212b4edf1d4e294e28e79dca7339700f7dd6d3f | [
"self.kwargs = dict()\nif not options:\n options = dict()\nplot_xlabel = options.get('plot_xlabel', 't')\nplot_ylabel = options.get('plot_ylabel', 'L')\nplot_width = options.get('plot_width', 12.0)\nplot_height = options.get('plot_height', 9.0)\nplot_format = options.get('plot_format', 'pdf')\nplot_font_family =... | <|body_start_0|>
self.kwargs = dict()
if not options:
options = dict()
plot_xlabel = options.get('plot_xlabel', 't')
plot_ylabel = options.get('plot_ylabel', 'L')
plot_width = options.get('plot_width', 12.0)
plot_height = options.get('plot_height', 9.0)
... | ... | BasePlotHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasePlotHandler:
"""..."""
def __init__(self, options=None):
""":param options:"""
<|body_0|>
def add_data(self, name, key, value, plot_options=None, **kwargs):
""":param name: :param key: :param value: :param plot_options: :param kwargs: :return:"""
<|bo... | stack_v2_sparse_classes_36k_train_020271 | 6,182 | permissive | [
{
"docstring": ":param options:",
"name": "__init__",
"signature": "def __init__(self, options=None)"
},
{
"docstring": ":param name: :param key: :param value: :param plot_options: :param kwargs: :return:",
"name": "add_data",
"signature": "def add_data(self, name, key, value, plot_optio... | 6 | stack_v2_sparse_classes_30k_test_001144 | Implement the Python class `BasePlotHandler` described below.
Class description:
...
Method signatures and docstrings:
- def __init__(self, options=None): :param options:
- def add_data(self, name, key, value, plot_options=None, **kwargs): :param name: :param key: :param value: :param plot_options: :param kwargs: :re... | Implement the Python class `BasePlotHandler` described below.
Class description:
...
Method signatures and docstrings:
- def __init__(self, options=None): :param options:
- def add_data(self, name, key, value, plot_options=None, **kwargs): :param name: :param key: :param value: :param plot_options: :param kwargs: :re... | 617ff45c9c3c96bbd9a975aef15f1b2697282b9c | <|skeleton|>
class BasePlotHandler:
"""..."""
def __init__(self, options=None):
""":param options:"""
<|body_0|>
def add_data(self, name, key, value, plot_options=None, **kwargs):
""":param name: :param key: :param value: :param plot_options: :param kwargs: :return:"""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BasePlotHandler:
"""..."""
def __init__(self, options=None):
""":param options:"""
self.kwargs = dict()
if not options:
options = dict()
plot_xlabel = options.get('plot_xlabel', 't')
plot_ylabel = options.get('plot_ylabel', 'L')
plot_width = opt... | the_stack_v2_python_sparse | shot_detector/handlers/base_plot_handler.py | w495/python-video-shot-detector | train | 20 |
84b6b2a1ea4f2cea8197254455505dd8d59756de | [
"self.namespace = namespace\nself.objectList = {}\nmyThread = threading.currentThread()\nif not hasattr(myThread, 'factory'):\n myThread.factory = {}\nmyThread.factory[name] = self",
"if getFromCache:\n if classname in self.objectList:\n return self.objectList[classname]\nif self.namespace == '':\n ... | <|body_start_0|>
self.namespace = namespace
self.objectList = {}
myThread = threading.currentThread()
if not hasattr(myThread, 'factory'):
myThread.factory = {}
myThread.factory[name] = self
<|end_body_0|>
<|body_start_1|>
if getFromCache:
if clas... | A factory Class that is 'not thread safe' but is intended to work in threads (no sharing). The class dynamically loads objects from files when needed and caches them. | WMFactory | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WMFactory:
"""A factory Class that is 'not thread safe' but is intended to work in threads (no sharing). The class dynamically loads objects from files when needed and caches them."""
def __init__(self, name, namespace=''):
"""Initializes the factory, and checks if this thread alread... | stack_v2_sparse_classes_36k_train_020272 | 2,852 | permissive | [
{
"docstring": "Initializes the factory, and checks if this thread already has an attribute for storing registries. It uses the reserved 'registries' attribute in the thread.",
"name": "__init__",
"signature": "def __init__(self, name, namespace='')"
},
{
"docstring": "Dynamically loads the obje... | 2 | null | Implement the Python class `WMFactory` described below.
Class description:
A factory Class that is 'not thread safe' but is intended to work in threads (no sharing). The class dynamically loads objects from files when needed and caches them.
Method signatures and docstrings:
- def __init__(self, name, namespace=''): ... | Implement the Python class `WMFactory` described below.
Class description:
A factory Class that is 'not thread safe' but is intended to work in threads (no sharing). The class dynamically loads objects from files when needed and caches them.
Method signatures and docstrings:
- def __init__(self, name, namespace=''): ... | de110ccf6fc63ef5589b4e871ef4d51d5bce7a25 | <|skeleton|>
class WMFactory:
"""A factory Class that is 'not thread safe' but is intended to work in threads (no sharing). The class dynamically loads objects from files when needed and caches them."""
def __init__(self, name, namespace=''):
"""Initializes the factory, and checks if this thread alread... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WMFactory:
"""A factory Class that is 'not thread safe' but is intended to work in threads (no sharing). The class dynamically loads objects from files when needed and caches them."""
def __init__(self, name, namespace=''):
"""Initializes the factory, and checks if this thread already has an attr... | the_stack_v2_python_sparse | src/python/WMCore/WMFactory.py | vkuznet/WMCore | train | 0 |
458090b2507a2a0c3971b26d26739aa775269574 | [
"favs = get_favs(request)\nfavs = favs.filter(tour_operator__pk=self.kwargs.get('operator_pk'))\nif favs.exists():\n for fav in favs.all():\n fav.date_deleted = datetime.today()\n fav.save()\nreturn Response({'status': 'ok', 'count': get_favs_count(request), 'count_to': get_to_favs_count(request)})... | <|body_start_0|>
favs = get_favs(request)
favs = favs.filter(tour_operator__pk=self.kwargs.get('operator_pk'))
if favs.exists():
for fav in favs.all():
fav.date_deleted = datetime.today()
fav.save()
return Response({'status': 'ok', 'count': get... | DeleteOperatorFavAPIView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeleteOperatorFavAPIView:
def get(self, request, *args, **kwargs):
"""Delete a Fav set date_deleted = now"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Delete several Favs at a time set date_deleted = now"""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_36k_train_020273 | 15,319 | no_license | [
{
"docstring": "Delete a Fav set date_deleted = now",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Delete several Favs at a time set date_deleted = now",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
}
] | 2 | null | Implement the Python class `DeleteOperatorFavAPIView` described below.
Class description:
Implement the DeleteOperatorFavAPIView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Delete a Fav set date_deleted = now
- def post(self, request, *args, **kwargs): Delete several Favs at a ... | Implement the Python class `DeleteOperatorFavAPIView` described below.
Class description:
Implement the DeleteOperatorFavAPIView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Delete a Fav set date_deleted = now
- def post(self, request, *args, **kwargs): Delete several Favs at a ... | 8a15fc387d20b12d16c171c2d8928a9b9d4ba5e1 | <|skeleton|>
class DeleteOperatorFavAPIView:
def get(self, request, *args, **kwargs):
"""Delete a Fav set date_deleted = now"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Delete several Favs at a time set date_deleted = now"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeleteOperatorFavAPIView:
def get(self, request, *args, **kwargs):
"""Delete a Fav set date_deleted = now"""
favs = get_favs(request)
favs = favs.filter(tour_operator__pk=self.kwargs.get('operator_pk'))
if favs.exists():
for fav in favs.all():
fav.da... | the_stack_v2_python_sparse | users/views.py | montenegrop/djangotravelportal | train | 0 | |
9440a22de05cdf99b8b67acd097a981285ac900e | [
"self.save_id = save_id\nself.nickname = nickname\nself.progress = progress\nself.created_at = created_at",
"progress = {}\nlevels_completed = self.progress // 100\nprogress['levels_completed'] = levels_completed\nlevel = 1\nwhile level <= levels_completed:\n progress[f'level{level}'] = 100\n progress[f'unl... | <|body_start_0|>
self.save_id = save_id
self.nickname = nickname
self.progress = progress
self.created_at = created_at
<|end_body_0|>
<|body_start_1|>
progress = {}
levels_completed = self.progress // 100
progress['levels_completed'] = levels_completed
le... | A class to represent save object and hold the information. Attributes: save_id: Unique id number. nickname: Name of the save object. progress: Corresponds progress level of the game. created_at: Timestamp when save has been created. | Save | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Save:
"""A class to represent save object and hold the information. Attributes: save_id: Unique id number. nickname: Name of the save object. progress: Corresponds progress level of the game. created_at: Timestamp when save has been created."""
def __init__(self, save_id, nickname, progress,... | stack_v2_sparse_classes_36k_train_020274 | 2,358 | no_license | [
{
"docstring": "Constructs all the necessary attributes for the save object. Args: save_id (int): Unique id number. nickname (str): Name of the save object. progress (int): Corresponds progress level of the game. created_at (date): Timestamp when save has been created.",
"name": "__init__",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_013341 | Implement the Python class `Save` described below.
Class description:
A class to represent save object and hold the information. Attributes: save_id: Unique id number. nickname: Name of the save object. progress: Corresponds progress level of the game. created_at: Timestamp when save has been created.
Method signatur... | Implement the Python class `Save` described below.
Class description:
A class to represent save object and hold the information. Attributes: save_id: Unique id number. nickname: Name of the save object. progress: Corresponds progress level of the game. created_at: Timestamp when save has been created.
Method signatur... | 29cd15dddff620de068a479595a5cb9aba855343 | <|skeleton|>
class Save:
"""A class to represent save object and hold the information. Attributes: save_id: Unique id number. nickname: Name of the save object. progress: Corresponds progress level of the game. created_at: Timestamp when save has been created."""
def __init__(self, save_id, nickname, progress,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Save:
"""A class to represent save object and hold the information. Attributes: save_id: Unique id number. nickname: Name of the save object. progress: Corresponds progress level of the game. created_at: Timestamp when save has been created."""
def __init__(self, save_id, nickname, progress, created_at):... | the_stack_v2_python_sparse | src/entities/save.py | TopiasHarjunpaa/ot-harjoitustyo | train | 0 |
0b390bf01d15876942469efed0ca4821f99d5605 | [
"if k < 0 or t < 0:\n return False\nwindow = collections.OrderedDict()\nfor n in nums:\n if len(window) > k:\n window.popitem(last=False)\n bucket = n if t == 0 else n // t\n for m in (window.get(bucket - 1), window.get(bucket), window.get(bucket + 1)):\n if m is not None and abs(n - m) <=... | <|body_start_0|>
if k < 0 or t < 0:
return False
window = collections.OrderedDict()
for n in nums:
if len(window) > k:
window.popitem(last=False)
bucket = n if t == 0 else n // t
for m in (window.get(bucket - 1), window.get(bucket),... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate_sort(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
... | stack_v2_sparse_classes_36k_train_020275 | 2,878 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "containsNearbyAlmostDuplicate",
"signature": "def containsNearbyAlmostDuplicate(self, nums, k, t)"
},
{
"docstring": ":type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "containsNearby... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate(self, nums, k, t): :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmostDuplicate_sort(self, nums, k, t): :typ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate(self, nums, k, t): :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmostDuplicate_sort(self, nums, k, t): :typ... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate_sort(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def containsNearbyAlmostDuplicate(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
if k < 0 or t < 0:
return False
window = collections.OrderedDict()
for n in nums:
if len(window) > k:
window... | the_stack_v2_python_sparse | src/lt_220.py | oxhead/CodingYourWay | train | 0 | |
1d7e8573643a5cbfb328b83a5a3edc8c849da89e | [
"context = {}\ntry:\n context['pending_action'] = PendingAction.objects.get(token=token, category=ActionCategory.RESET_PASSWORD.value)\nexcept PendingAction.DoesNotExist:\n context['pending_action'] = None\nreturn render(request, 'transactions/reset_password.html', context)",
"context = {}\ntry:\n pendin... | <|body_start_0|>
context = {}
try:
context['pending_action'] = PendingAction.objects.get(token=token, category=ActionCategory.RESET_PASSWORD.value)
except PendingAction.DoesNotExist:
context['pending_action'] = None
return render(request, 'transactions/reset_passw... | Process a password reset. | ResetPasswordView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResetPasswordView:
"""Process a password reset."""
def get(self, request, token, **kwargs):
"""Renders the html template to init password reset."""
<|body_0|>
def post(self, request, token, **kwargs):
"""Processes password reset."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k_train_020276 | 1,704 | permissive | [
{
"docstring": "Renders the html template to init password reset.",
"name": "get",
"signature": "def get(self, request, token, **kwargs)"
},
{
"docstring": "Processes password reset.",
"name": "post",
"signature": "def post(self, request, token, **kwargs)"
}
] | 2 | null | Implement the Python class `ResetPasswordView` described below.
Class description:
Process a password reset.
Method signatures and docstrings:
- def get(self, request, token, **kwargs): Renders the html template to init password reset.
- def post(self, request, token, **kwargs): Processes password reset. | Implement the Python class `ResetPasswordView` described below.
Class description:
Process a password reset.
Method signatures and docstrings:
- def get(self, request, token, **kwargs): Renders the html template to init password reset.
- def post(self, request, token, **kwargs): Processes password reset.
<|skeleton|... | 3fdc01eabdff459b31e016f9f6d1cafc19c5a292 | <|skeleton|>
class ResetPasswordView:
"""Process a password reset."""
def get(self, request, token, **kwargs):
"""Renders the html template to init password reset."""
<|body_0|>
def post(self, request, token, **kwargs):
"""Processes password reset."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResetPasswordView:
"""Process a password reset."""
def get(self, request, token, **kwargs):
"""Renders the html template to init password reset."""
context = {}
try:
context['pending_action'] = PendingAction.objects.get(token=token, category=ActionCategory.RESET_PASSWO... | the_stack_v2_python_sparse | apps/accounts/views/reset_password.py | jimialex/django-wise | train | 0 |
d689e14b149d4c276234bce99693c64493b883dd | [
"video_share_link = cls.get_video_share_link(share_url)\nif not video_share_link:\n return\ncls.insert_share_url(video_share_link)\njiexi_url = cls.get_jiexi_url(video_share_link)\nhtml = requests.get(jiexi_url, headers=headers).text\nbf = BeautifulSoup(html, 'lxml')\nwuma_url = bf.find('textarea').get_text()\nr... | <|body_start_0|>
video_share_link = cls.get_video_share_link(share_url)
if not video_share_link:
return
cls.insert_share_url(video_share_link)
jiexi_url = cls.get_jiexi_url(video_share_link)
html = requests.get(jiexi_url, headers=headers).text
bf = BeautifulSo... | JieXiShareLink | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JieXiShareLink:
def remove_watermark(cls, share_url):
"""获得无水印的视频播放地址 share_url: 带水印的视频地址 video_share_link:抖音视频分享链接 jiexi_url:分享链接解析网站请求地址 wuma_url:无水印的视频地址"""
<|body_0|>
def get_video_share_link(cls, share_url):
"""生成抖音视频分享链接 :param share_url: :return:"""
<|... | stack_v2_sparse_classes_36k_train_020277 | 3,058 | no_license | [
{
"docstring": "获得无水印的视频播放地址 share_url: 带水印的视频地址 video_share_link:抖音视频分享链接 jiexi_url:分享链接解析网站请求地址 wuma_url:无水印的视频地址",
"name": "remove_watermark",
"signature": "def remove_watermark(cls, share_url)"
},
{
"docstring": "生成抖音视频分享链接 :param share_url: :return:",
"name": "get_video_share_link",
... | 4 | stack_v2_sparse_classes_30k_train_007620 | Implement the Python class `JieXiShareLink` described below.
Class description:
Implement the JieXiShareLink class.
Method signatures and docstrings:
- def remove_watermark(cls, share_url): 获得无水印的视频播放地址 share_url: 带水印的视频地址 video_share_link:抖音视频分享链接 jiexi_url:分享链接解析网站请求地址 wuma_url:无水印的视频地址
- def get_video_share_link(c... | Implement the Python class `JieXiShareLink` described below.
Class description:
Implement the JieXiShareLink class.
Method signatures and docstrings:
- def remove_watermark(cls, share_url): 获得无水印的视频播放地址 share_url: 带水印的视频地址 video_share_link:抖音视频分享链接 jiexi_url:分享链接解析网站请求地址 wuma_url:无水印的视频地址
- def get_video_share_link(c... | 288cce19e94bbd31fea6987341e83a20625b8a19 | <|skeleton|>
class JieXiShareLink:
def remove_watermark(cls, share_url):
"""获得无水印的视频播放地址 share_url: 带水印的视频地址 video_share_link:抖音视频分享链接 jiexi_url:分享链接解析网站请求地址 wuma_url:无水印的视频地址"""
<|body_0|>
def get_video_share_link(cls, share_url):
"""生成抖音视频分享链接 :param share_url: :return:"""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JieXiShareLink:
def remove_watermark(cls, share_url):
"""获得无水印的视频播放地址 share_url: 带水印的视频地址 video_share_link:抖音视频分享链接 jiexi_url:分享链接解析网站请求地址 wuma_url:无水印的视频地址"""
video_share_link = cls.get_video_share_link(share_url)
if not video_share_link:
return
cls.insert_share_ur... | the_stack_v2_python_sparse | tiktok/douyin/sharelinkjiexi.py | lsxyq/learn | train | 1 | |
fc894753f3e593e7a6d078786f0a784870ee6c93 | [
"super(HierarchicalTableView, self).__init__(parent)\nself.setItemDelegate(HierarchicalItemDelegate(self))\nself.verticalHeader().setVisible(False)\nself.horizontalHeader().setVisible(False)",
"if self.model() is not None:\n model.modelReset.disconnect(self.__modelReset)\nsuper(HierarchicalTableView, self).set... | <|body_start_0|>
super(HierarchicalTableView, self).__init__(parent)
self.setItemDelegate(HierarchicalItemDelegate(self))
self.verticalHeader().setVisible(False)
self.horizontalHeader().setVisible(False)
<|end_body_0|>
<|body_start_1|>
if self.model() is not None:
mo... | A TableView which allow to display a `HierarchicalTableModel`. | HierarchicalTableView | [
"MIT",
"LicenseRef-scancode-public-domain-disclaimer",
"CC0-1.0",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HierarchicalTableView:
"""A TableView which allow to display a `HierarchicalTableModel`."""
def __init__(self, parent=None):
"""Constructor :param qt.QWidget parent: Parent of the widget"""
<|body_0|>
def setModel(self, model):
"""Override the default function to... | stack_v2_sparse_classes_36k_train_020278 | 6,748 | permissive | [
{
"docstring": "Constructor :param qt.QWidget parent: Parent of the widget",
"name": "__init__",
"signature": "def __init__(self, parent=None)"
},
{
"docstring": "Override the default function to connect the model to update function",
"name": "setModel",
"signature": "def setModel(self, ... | 3 | null | Implement the Python class `HierarchicalTableView` described below.
Class description:
A TableView which allow to display a `HierarchicalTableModel`.
Method signatures and docstrings:
- def __init__(self, parent=None): Constructor :param qt.QWidget parent: Parent of the widget
- def setModel(self, model): Override th... | Implement the Python class `HierarchicalTableView` described below.
Class description:
A TableView which allow to display a `HierarchicalTableModel`.
Method signatures and docstrings:
- def __init__(self, parent=None): Constructor :param qt.QWidget parent: Parent of the widget
- def setModel(self, model): Override th... | 5e33cb69afd2a8b1cfe3183282acdd8b34c1a74f | <|skeleton|>
class HierarchicalTableView:
"""A TableView which allow to display a `HierarchicalTableModel`."""
def __init__(self, parent=None):
"""Constructor :param qt.QWidget parent: Parent of the widget"""
<|body_0|>
def setModel(self, model):
"""Override the default function to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HierarchicalTableView:
"""A TableView which allow to display a `HierarchicalTableModel`."""
def __init__(self, parent=None):
"""Constructor :param qt.QWidget parent: Parent of the widget"""
super(HierarchicalTableView, self).__init__(parent)
self.setItemDelegate(HierarchicalItemDe... | the_stack_v2_python_sparse | src/silx/gui/widgets/HierarchicalTableView.py | silx-kit/silx | train | 120 |
c81f20de23917627ad29d0d062a6fd876772a9c4 | [
"if isinstance(file_object, BufferedReader) or isinstance(file_object, InMemoryUploadedFile) or isinstance(file_object, TemporaryUploadedFile) or isinstance(file_object, ImageFieldFile):\n super(Photo, self).__init__(file_object)\n self.obj = file_object\n self.pillow_image = self.convert()\nelse:\n rai... | <|body_start_0|>
if isinstance(file_object, BufferedReader) or isinstance(file_object, InMemoryUploadedFile) or isinstance(file_object, TemporaryUploadedFile) or isinstance(file_object, ImageFieldFile):
super(Photo, self).__init__(file_object)
self.obj = file_object
self.pill... | Class to manipulate image data References https://docs.djangoproject.com/en/1.10/_modules/django/core/files/uploadedfile/#InMemoryUploadedFile http://stackoverflow.com/questions/36417049/how-to-convert-an-inmemoryuploadedfile-in-django-to-a-fomat-for-flickr-api http://stackoverflow.com/questions/24373341/django-image-r... | Photo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Photo:
"""Class to manipulate image data References https://docs.djangoproject.com/en/1.10/_modules/django/core/files/uploadedfile/#InMemoryUploadedFile http://stackoverflow.com/questions/36417049/how-to-convert-an-inmemoryuploadedfile-in-django-to-a-fomat-for-flickr-api http://stackoverflow.com/... | stack_v2_sparse_classes_36k_train_020279 | 7,546 | no_license | [
{
"docstring": "Constructor :param file_object: object created using Python's open() :return: None",
"name": "__init__",
"signature": "def __init__(self, file_object)"
},
{
"docstring": "Return whether or not the image contains an icc_profile for ProPhoto RGB (ROMM) or AdobeRGB (1998) :param ima... | 6 | null | Implement the Python class `Photo` described below.
Class description:
Class to manipulate image data References https://docs.djangoproject.com/en/1.10/_modules/django/core/files/uploadedfile/#InMemoryUploadedFile http://stackoverflow.com/questions/36417049/how-to-convert-an-inmemoryuploadedfile-in-django-to-a-fomat-f... | Implement the Python class `Photo` described below.
Class description:
Class to manipulate image data References https://docs.djangoproject.com/en/1.10/_modules/django/core/files/uploadedfile/#InMemoryUploadedFile http://stackoverflow.com/questions/36417049/how-to-convert-an-inmemoryuploadedfile-in-django-to-a-fomat-f... | 38a09ce2fe68312338c8cb597a341853901eeaa3 | <|skeleton|>
class Photo:
"""Class to manipulate image data References https://docs.djangoproject.com/en/1.10/_modules/django/core/files/uploadedfile/#InMemoryUploadedFile http://stackoverflow.com/questions/36417049/how-to-convert-an-inmemoryuploadedfile-in-django-to-a-fomat-for-flickr-api http://stackoverflow.com/... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Photo:
"""Class to manipulate image data References https://docs.djangoproject.com/en/1.10/_modules/django/core/files/uploadedfile/#InMemoryUploadedFile http://stackoverflow.com/questions/36417049/how-to-convert-an-inmemoryuploadedfile-in-django-to-a-fomat-for-flickr-api http://stackoverflow.com/questions/243... | the_stack_v2_python_sparse | apps/photo/photo.py | AOV-Team/aov-py-backend | train | 0 |
43658385d4ec9272ef8fa9bb5378a31dee11271a | [
"self.discovery_info = discovery_info\n_properties = discovery_info.properties\nunique_id = discovery_info.hostname.split('.')[0].split('-')[0]\nif (config_entry := (await self.async_set_unique_id(unique_id))):\n try:\n await validate_gw_input(self.hass, {CONF_HOST: discovery_info.host, CONF_PORT: discove... | <|body_start_0|>
self.discovery_info = discovery_info
_properties = discovery_info.properties
unique_id = discovery_info.hostname.split('.')[0].split('-')[0]
if (config_entry := (await self.async_set_unique_id(unique_id))):
try:
await validate_gw_input(self.ha... | Handle a config flow for Plugwise Smile. | PlugwiseConfigFlow | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlugwiseConfigFlow:
"""Handle a config flow for Plugwise Smile."""
async def async_step_zeroconf(self, discovery_info: ZeroconfServiceInfo) -> FlowResult:
"""Prepare configuration for a discovered Plugwise Smile."""
<|body_0|>
async def async_step_user(self, user_input: ... | stack_v2_sparse_classes_36k_train_020280 | 7,173 | permissive | [
{
"docstring": "Prepare configuration for a discovered Plugwise Smile.",
"name": "async_step_zeroconf",
"signature": "async def async_step_zeroconf(self, discovery_info: ZeroconfServiceInfo) -> FlowResult"
},
{
"docstring": "Handle the initial step when using network/gateway setups.",
"name"... | 2 | null | Implement the Python class `PlugwiseConfigFlow` described below.
Class description:
Handle a config flow for Plugwise Smile.
Method signatures and docstrings:
- async def async_step_zeroconf(self, discovery_info: ZeroconfServiceInfo) -> FlowResult: Prepare configuration for a discovered Plugwise Smile.
- async def as... | Implement the Python class `PlugwiseConfigFlow` described below.
Class description:
Handle a config flow for Plugwise Smile.
Method signatures and docstrings:
- async def async_step_zeroconf(self, discovery_info: ZeroconfServiceInfo) -> FlowResult: Prepare configuration for a discovered Plugwise Smile.
- async def as... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class PlugwiseConfigFlow:
"""Handle a config flow for Plugwise Smile."""
async def async_step_zeroconf(self, discovery_info: ZeroconfServiceInfo) -> FlowResult:
"""Prepare configuration for a discovered Plugwise Smile."""
<|body_0|>
async def async_step_user(self, user_input: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PlugwiseConfigFlow:
"""Handle a config flow for Plugwise Smile."""
async def async_step_zeroconf(self, discovery_info: ZeroconfServiceInfo) -> FlowResult:
"""Prepare configuration for a discovered Plugwise Smile."""
self.discovery_info = discovery_info
_properties = discovery_info... | the_stack_v2_python_sparse | homeassistant/components/plugwise/config_flow.py | home-assistant/core | train | 35,501 |
1d7876589737e43d3f8d6d0a134befd60f1a0164 | [
"PHONE_REGEX('+529381124892')\nPHONE_REGEX('9381124892')\nPHONE_REGEX('019283746510294')\nPHONE_REGEX('+019283746510294')\nPHONE_REGEX('938112489')\nPHONE_REGEX('938112489')",
"self.assertRaises(ValidationError, PHONE_REGEX, '0987654321123456')\nself.assertRaises(ValidationError, PHONE_REGEX, '+521234567890123456... | <|body_start_0|>
PHONE_REGEX('+529381124892')
PHONE_REGEX('9381124892')
PHONE_REGEX('019283746510294')
PHONE_REGEX('+019283746510294')
PHONE_REGEX('938112489')
PHONE_REGEX('938112489')
<|end_body_0|>
<|body_start_1|>
self.assertRaises(ValidationError, PHONE_REGEX... | Suite to test the validator functions inside validators.py Attributes: ----------- PHONE_REGEX : RegexValidator This validator checks that phone numbers are properly formatted. | ValidatorsTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValidatorsTest:
"""Suite to test the validator functions inside validators.py Attributes: ----------- PHONE_REGEX : RegexValidator This validator checks that phone numbers are properly formatted."""
def test_good_phone_number(self):
"""Test if the validator accepts a properly formatt... | stack_v2_sparse_classes_36k_train_020281 | 2,551 | permissive | [
{
"docstring": "Test if the validator accepts a properly formatted number. In this case we are going to test multiple variations of properly formatted phone numbers. The cases are a full number, a 9 digit number a 15 digit number, a number with country code, and a number without a country code.",
"name": "t... | 2 | stack_v2_sparse_classes_30k_train_010152 | Implement the Python class `ValidatorsTest` described below.
Class description:
Suite to test the validator functions inside validators.py Attributes: ----------- PHONE_REGEX : RegexValidator This validator checks that phone numbers are properly formatted.
Method signatures and docstrings:
- def test_good_phone_numbe... | Implement the Python class `ValidatorsTest` described below.
Class description:
Suite to test the validator functions inside validators.py Attributes: ----------- PHONE_REGEX : RegexValidator This validator checks that phone numbers are properly formatted.
Method signatures and docstrings:
- def test_good_phone_numbe... | 0100435c5d5a5fd12133b376b305e8fa79ddb8f0 | <|skeleton|>
class ValidatorsTest:
"""Suite to test the validator functions inside validators.py Attributes: ----------- PHONE_REGEX : RegexValidator This validator checks that phone numbers are properly formatted."""
def test_good_phone_number(self):
"""Test if the validator accepts a properly formatt... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ValidatorsTest:
"""Suite to test the validator functions inside validators.py Attributes: ----------- PHONE_REGEX : RegexValidator This validator checks that phone numbers are properly formatted."""
def test_good_phone_number(self):
"""Test if the validator accepts a properly formatted number. In... | the_stack_v2_python_sparse | core/tests.py | Oswaldinho24k/geo-csv | train | 0 |
d4d6e81a1e4182c269cdaac531e29d97b4ce5c53 | [
"if len(input_mask_and_length_tuple) < 2:\n return\nassert len(output_mask_and_length_tuple) == 1\nsuper().__init__(input_mask_and_length_tuple, output_mask_and_length_tuple)",
"mask_changed = False\nsaved_output_mask = output_mask_list[0]\nnum_in_masks = len(input_mask_list)\nnum_out_masks = len(output_mask_l... | <|body_start_0|>
if len(input_mask_and_length_tuple) < 2:
return
assert len(output_mask_and_length_tuple) == 1
super().__init__(input_mask_and_length_tuple, output_mask_and_length_tuple)
<|end_body_0|>
<|body_start_1|>
mask_changed = False
saved_output_mask = output_... | Models ADD internal connectivity for an Op. | AddInternalConnectivity | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddInternalConnectivity:
"""Models ADD internal connectivity for an Op."""
def __init__(self, input_mask_and_length_tuple: List[Tuple[List, int]], output_mask_and_length_tuple: List[Tuple[List, int]]):
""":param input_mask_and_length_tuple: List of Tuples. Each Tuple contains a list ... | stack_v2_sparse_classes_36k_train_020282 | 39,659 | permissive | [
{
"docstring": ":param input_mask_and_length_tuple: List of Tuples. Each Tuple contains a list of input masks and the mask length. :param output_mask_and_length_tuple: List of Tuples. Each Tuple contains a list of output masks and the mask length.",
"name": "__init__",
"signature": "def __init__(self, i... | 3 | stack_v2_sparse_classes_30k_test_000363 | Implement the Python class `AddInternalConnectivity` described below.
Class description:
Models ADD internal connectivity for an Op.
Method signatures and docstrings:
- def __init__(self, input_mask_and_length_tuple: List[Tuple[List, int]], output_mask_and_length_tuple: List[Tuple[List, int]]): :param input_mask_and_... | Implement the Python class `AddInternalConnectivity` described below.
Class description:
Models ADD internal connectivity for an Op.
Method signatures and docstrings:
- def __init__(self, input_mask_and_length_tuple: List[Tuple[List, int]], output_mask_and_length_tuple: List[Tuple[List, int]]): :param input_mask_and_... | 5a406e657082b6a4f6e4bf48f0e46e085cb1e351 | <|skeleton|>
class AddInternalConnectivity:
"""Models ADD internal connectivity for an Op."""
def __init__(self, input_mask_and_length_tuple: List[Tuple[List, int]], output_mask_and_length_tuple: List[Tuple[List, int]]):
""":param input_mask_and_length_tuple: List of Tuples. Each Tuple contains a list ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddInternalConnectivity:
"""Models ADD internal connectivity for an Op."""
def __init__(self, input_mask_and_length_tuple: List[Tuple[List, int]], output_mask_and_length_tuple: List[Tuple[List, int]]):
""":param input_mask_and_length_tuple: List of Tuples. Each Tuple contains a list of input mask... | the_stack_v2_python_sparse | TrainingExtensions/common/src/python/aimet_common/winnow/mask.py | quic/aimet | train | 1,676 |
33f8363ce5b1bafaf6c830e8665c80f834104607 | [
"q = quantity.Volume(1.0, 'm^3')\nself.assertAlmostEqual(q.value, 1.0, 6)\nself.assertAlmostEqual(q.value_si, 1.0, delta=1e-06)\nself.assertEqual(q.units, 'm^3')",
"q = quantity.Volume(1.0, 'L')\nself.assertAlmostEqual(q.value, 1.0, 6)\nself.assertAlmostEqual(q.value_si, 0.001, delta=1e-09)\nself.assertEqual(q.un... | <|body_start_0|>
q = quantity.Volume(1.0, 'm^3')
self.assertAlmostEqual(q.value, 1.0, 6)
self.assertAlmostEqual(q.value_si, 1.0, delta=1e-06)
self.assertEqual(q.units, 'm^3')
<|end_body_0|>
<|body_start_1|>
q = quantity.Volume(1.0, 'L')
self.assertAlmostEqual(q.value, 1.... | Contains unit tests of the Volume unit type object. | TestVolume | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestVolume:
"""Contains unit tests of the Volume unit type object."""
def test_m3(self):
"""Test the creation of an volume quantity with units of m^3."""
<|body_0|>
def test_liters(self):
"""Test the creation of an volume quantity with units of L."""
<|bo... | stack_v2_sparse_classes_36k_train_020283 | 49,563 | permissive | [
{
"docstring": "Test the creation of an volume quantity with units of m^3.",
"name": "test_m3",
"signature": "def test_m3(self)"
},
{
"docstring": "Test the creation of an volume quantity with units of L.",
"name": "test_liters",
"signature": "def test_liters(self)"
}
] | 2 | null | Implement the Python class `TestVolume` described below.
Class description:
Contains unit tests of the Volume unit type object.
Method signatures and docstrings:
- def test_m3(self): Test the creation of an volume quantity with units of m^3.
- def test_liters(self): Test the creation of an volume quantity with units ... | Implement the Python class `TestVolume` described below.
Class description:
Contains unit tests of the Volume unit type object.
Method signatures and docstrings:
- def test_m3(self): Test the creation of an volume quantity with units of m^3.
- def test_liters(self): Test the creation of an volume quantity with units ... | 349a4af759cf8877197772cd7eaca1e51d46eff5 | <|skeleton|>
class TestVolume:
"""Contains unit tests of the Volume unit type object."""
def test_m3(self):
"""Test the creation of an volume quantity with units of m^3."""
<|body_0|>
def test_liters(self):
"""Test the creation of an volume quantity with units of L."""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestVolume:
"""Contains unit tests of the Volume unit type object."""
def test_m3(self):
"""Test the creation of an volume quantity with units of m^3."""
q = quantity.Volume(1.0, 'm^3')
self.assertAlmostEqual(q.value, 1.0, 6)
self.assertAlmostEqual(q.value_si, 1.0, delta=1... | the_stack_v2_python_sparse | rmgpy/quantityTest.py | CanePan-cc/CanePanWorkshop | train | 2 |
38f0c71dcef5d9f1d7ec529cbc9c995e9fc4b45a | [
"super(Application, self).__init__(master)\nself.grid()\nself.create_widgets()",
"self.bttn1 = Button(self, text='I do nothing!')\nself.bttn1.grid()\nself.bttn2 = Button(self)\nself.bttn2.grid()\nself.bttn2.configure(text='Me too!')\nself.bttn3 = Button(self)\nself.bttn3.grid()\nself.bttn3['text'] = 'The same thi... | <|body_start_0|>
super(Application, self).__init__(master)
self.grid()
self.create_widgets()
<|end_body_0|>
<|body_start_1|>
self.bttn1 = Button(self, text='I do nothing!')
self.bttn1.grid()
self.bttn2 = Button(self)
self.bttn2.grid()
self.bttn2.configure... | Application based on GUI with three buttons. | Application | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Application:
"""Application based on GUI with three buttons."""
def __init__(self, master):
"""Initialize frame."""
<|body_0|>
def create_widgets(self):
"""Create three buttons which do nothing."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
su... | stack_v2_sparse_classes_36k_train_020284 | 1,424 | no_license | [
{
"docstring": "Initialize frame.",
"name": "__init__",
"signature": "def __init__(self, master)"
},
{
"docstring": "Create three buttons which do nothing.",
"name": "create_widgets",
"signature": "def create_widgets(self)"
}
] | 2 | null | Implement the Python class `Application` described below.
Class description:
Application based on GUI with three buttons.
Method signatures and docstrings:
- def __init__(self, master): Initialize frame.
- def create_widgets(self): Create three buttons which do nothing. | Implement the Python class `Application` described below.
Class description:
Application based on GUI with three buttons.
Method signatures and docstrings:
- def __init__(self, master): Initialize frame.
- def create_widgets(self): Create three buttons which do nothing.
<|skeleton|>
class Application:
"""Applica... | 120e2d62468a085424ec71a22effe27d6b38b548 | <|skeleton|>
class Application:
"""Application based on GUI with three buttons."""
def __init__(self, master):
"""Initialize frame."""
<|body_0|>
def create_widgets(self):
"""Create three buttons which do nothing."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Application:
"""Application based on GUI with three buttons."""
def __init__(self, master):
"""Initialize frame."""
super(Application, self).__init__(master)
self.grid()
self.create_widgets()
def create_widgets(self):
"""Create three buttons which do nothing."... | the_stack_v2_python_sparse | Chapter 10/lazy_buttons_2.py | MartaSzuran/Python-for-the-Absolute-Beginner-M.Dawson | train | 1 |
2de5fbc0cc05cd99533f7e28c71a3bf2f9501eec | [
"try:\n workspace_object = workspace_api.get_by_id(pk)\n serializer = WorkspaceSerializer(workspace_object)\n return Response(serializer.data)\nexcept exceptions.DoesNotExist:\n content = {'message': 'Workspace not found.'}\n return Response(content, status=status.HTTP_404_NOT_FOUND)\nexcept Exceptio... | <|body_start_0|>
try:
workspace_object = workspace_api.get_by_id(pk)
serializer = WorkspaceSerializer(workspace_object)
return Response(serializer.data)
except exceptions.DoesNotExist:
content = {'message': 'Workspace not found.'}
return Respon... | Workspace Detail | WorkspaceDetail | [
"NIST-Software"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WorkspaceDetail:
"""Workspace Detail"""
def get(self, request, pk):
"""Get Workspace from db Args: request: HTTP request pk: ObjectId Returns: Workspace"""
<|body_0|>
def delete(self, request, pk):
"""Delete a Workspace Args: request: HTTP request pk: ObjectId Re... | stack_v2_sparse_classes_36k_train_020285 | 23,285 | permissive | [
{
"docstring": "Get Workspace from db Args: request: HTTP request pk: ObjectId Returns: Workspace",
"name": "get",
"signature": "def get(self, request, pk)"
},
{
"docstring": "Delete a Workspace Args: request: HTTP request pk: ObjectId Returns: - code: 204 content: Deletion succeed - code: 403 c... | 2 | stack_v2_sparse_classes_30k_train_004369 | Implement the Python class `WorkspaceDetail` described below.
Class description:
Workspace Detail
Method signatures and docstrings:
- def get(self, request, pk): Get Workspace from db Args: request: HTTP request pk: ObjectId Returns: Workspace
- def delete(self, request, pk): Delete a Workspace Args: request: HTTP re... | Implement the Python class `WorkspaceDetail` described below.
Class description:
Workspace Detail
Method signatures and docstrings:
- def get(self, request, pk): Get Workspace from db Args: request: HTTP request pk: ObjectId Returns: Workspace
- def delete(self, request, pk): Delete a Workspace Args: request: HTTP re... | f032036d95076f92b164389fdbec7415567e7b0f | <|skeleton|>
class WorkspaceDetail:
"""Workspace Detail"""
def get(self, request, pk):
"""Get Workspace from db Args: request: HTTP request pk: ObjectId Returns: Workspace"""
<|body_0|>
def delete(self, request, pk):
"""Delete a Workspace Args: request: HTTP request pk: ObjectId Re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WorkspaceDetail:
"""Workspace Detail"""
def get(self, request, pk):
"""Get Workspace from db Args: request: HTTP request pk: ObjectId Returns: Workspace"""
try:
workspace_object = workspace_api.get_by_id(pk)
serializer = WorkspaceSerializer(workspace_object)
... | the_stack_v2_python_sparse | core_main_app/rest/workspace/views.py | usnistgov/core_main_app | train | 3 |
8da0d16bb56fef384382aae050836db6a277536e | [
"self.tuples = kargs.pop('tuples', None)\nself.context = kargs.pop('context', None)\nself.form_values = kargs.pop('values', None)\nself.show_key = kargs.pop('show_key', None)\nself.is_empty = True\nsuper().__init__(*args, **kargs)\nif not self.form_values:\n self.form_values = [None] * len(self.tuples)\nfor idx,... | <|body_start_0|>
self.tuples = kargs.pop('tuples', None)
self.context = kargs.pop('context', None)
self.form_values = kargs.pop('values', None)
self.show_key = kargs.pop('show_key', None)
self.is_empty = True
super().__init__(*args, **kargs)
if not self.form_value... | Form to enter values in a row. | EnterActionIn | [
"LGPL-2.0-or-later",
"BSD-3-Clause",
"MIT",
"Apache-2.0",
"LGPL-2.1-only",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnterActionIn:
"""Form to enter values in a row."""
def __init__(self, *args, **kargs):
"""Store parameters and adjust questions, columns, etc."""
<|body_0|>
def get_key_value_pairs(self) -> Tuple[List, List, str, Any]:
"""Extract key/value pairs and primary key/... | stack_v2_sparse_classes_36k_train_020286 | 5,848 | permissive | [
{
"docstring": "Store parameters and adjust questions, columns, etc.",
"name": "__init__",
"signature": "def __init__(self, *args, **kargs)"
},
{
"docstring": "Extract key/value pairs and primary key/value. :return: Tuple with List[keys], List[values], where_field, where_value",
"name": "get... | 2 | stack_v2_sparse_classes_30k_train_014117 | Implement the Python class `EnterActionIn` described below.
Class description:
Form to enter values in a row.
Method signatures and docstrings:
- def __init__(self, *args, **kargs): Store parameters and adjust questions, columns, etc.
- def get_key_value_pairs(self) -> Tuple[List, List, str, Any]: Extract key/value p... | Implement the Python class `EnterActionIn` described below.
Class description:
Form to enter values in a row.
Method signatures and docstrings:
- def __init__(self, *args, **kargs): Store parameters and adjust questions, columns, etc.
- def get_key_value_pairs(self) -> Tuple[List, List, str, Any]: Extract key/value p... | c432745dfff932cbe7397100422d49df78f0a882 | <|skeleton|>
class EnterActionIn:
"""Form to enter values in a row."""
def __init__(self, *args, **kargs):
"""Store parameters and adjust questions, columns, etc."""
<|body_0|>
def get_key_value_pairs(self) -> Tuple[List, List, str, Any]:
"""Extract key/value pairs and primary key/... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EnterActionIn:
"""Form to enter values in a row."""
def __init__(self, *args, **kargs):
"""Store parameters and adjust questions, columns, etc."""
self.tuples = kargs.pop('tuples', None)
self.context = kargs.pop('context', None)
self.form_values = kargs.pop('values', None)... | the_stack_v2_python_sparse | ontask/action/forms/edit.py | abelardopardo/ontask_b | train | 43 |
40e98eaf7bb1295e8fd0f332ef1ac81eb88f63fd | [
"normalizer = None\nif language in ['hi', 'mr', 'sa', 'kK', 'ne', 'sd']:\n normalizer = DevanagariNormalizer(lang=language, **kwargs)\nelif language in ['ur']:\n normalizer = UrduNormalizer(lang=language, **kwargs)\nelif language in ['pa']:\n normalizer = GurmukhiNormalizer(lang=language, **kwargs)\nelif l... | <|body_start_0|>
normalizer = None
if language in ['hi', 'mr', 'sa', 'kK', 'ne', 'sd']:
normalizer = DevanagariNormalizer(lang=language, **kwargs)
elif language in ['ur']:
normalizer = UrduNormalizer(lang=language, **kwargs)
elif language in ['pa']:
no... | Factory class to create language specific normalizers. | IndicNormalizerFactory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IndicNormalizerFactory:
"""Factory class to create language specific normalizers."""
def get_normalizer(self, language, **kwargs):
"""Call the get_normalizer function to get the language specific normalizer Paramters: |language: language code |remove_nuktas: boolean, should the norma... | stack_v2_sparse_classes_36k_train_020287 | 37,295 | permissive | [
{
"docstring": "Call the get_normalizer function to get the language specific normalizer Paramters: |language: language code |remove_nuktas: boolean, should the normalizer remove nukta characters",
"name": "get_normalizer",
"signature": "def get_normalizer(self, language, **kwargs)"
},
{
"docstr... | 2 | stack_v2_sparse_classes_30k_train_016082 | Implement the Python class `IndicNormalizerFactory` described below.
Class description:
Factory class to create language specific normalizers.
Method signatures and docstrings:
- def get_normalizer(self, language, **kwargs): Call the get_normalizer function to get the language specific normalizer Paramters: |language... | Implement the Python class `IndicNormalizerFactory` described below.
Class description:
Factory class to create language specific normalizers.
Method signatures and docstrings:
- def get_normalizer(self, language, **kwargs): Call the get_normalizer function to get the language specific normalizer Paramters: |language... | 50cfc16f99a9a419b46dc35777b67e6d009246ec | <|skeleton|>
class IndicNormalizerFactory:
"""Factory class to create language specific normalizers."""
def get_normalizer(self, language, **kwargs):
"""Call the get_normalizer function to get the language specific normalizer Paramters: |language: language code |remove_nuktas: boolean, should the norma... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IndicNormalizerFactory:
"""Factory class to create language specific normalizers."""
def get_normalizer(self, language, **kwargs):
"""Call the get_normalizer function to get the language specific normalizer Paramters: |language: language code |remove_nuktas: boolean, should the normalizer remove ... | the_stack_v2_python_sparse | indicnlp/normalize/indic_normalize.py | anoopkunchukuttan/indic_nlp_library | train | 518 |
d11f8cf91621855d99ff1b0d2fa7cd1d44c89079 | [
"super().__init__()\nself.mainWindow = mainWindow\nself.actionButtons = actionButtonsClass(self.mainWindow)\nself.listboxs = assignmentsListboxClass(self.mainWindow)\nself.assignmentsLayout()",
"settings_menu_items = ['Unused', ['&General Settings', '&Change Theme', '&Update Assignments']]\nnavigate_menu_items = ... | <|body_start_0|>
super().__init__()
self.mainWindow = mainWindow
self.actionButtons = actionButtonsClass(self.mainWindow)
self.listboxs = assignmentsListboxClass(self.mainWindow)
self.assignmentsLayout()
<|end_body_0|>
<|body_start_1|>
settings_menu_items = ['Unused', ['... | A class to use for generating the layout for the assignments window. Parameters ---------- dataHandelerClass : class The data handeler class to inherit from, that will manage the downloading and retriving of saved data. Attributes ---------- mainWindow : object The PySimpleGUI window object that has been opened. action... | assignmentsLayoutClass | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class assignmentsLayoutClass:
"""A class to use for generating the layout for the assignments window. Parameters ---------- dataHandelerClass : class The data handeler class to inherit from, that will manage the downloading and retriving of saved data. Attributes ---------- mainWindow : object The PySi... | stack_v2_sparse_classes_36k_train_020288 | 3,819 | permissive | [
{
"docstring": "The constructor for assignmentsLayoutClass. Parameters ---------- mainWindow : object The PySimpleGUI window object that has been opened.",
"name": "__init__",
"signature": "def __init__(self, mainWindow)"
},
{
"docstring": "Generate the problem selection layout for assignments."... | 2 | stack_v2_sparse_classes_30k_train_019586 | Implement the Python class `assignmentsLayoutClass` described below.
Class description:
A class to use for generating the layout for the assignments window. Parameters ---------- dataHandelerClass : class The data handeler class to inherit from, that will manage the downloading and retriving of saved data. Attributes ... | Implement the Python class `assignmentsLayoutClass` described below.
Class description:
A class to use for generating the layout for the assignments window. Parameters ---------- dataHandelerClass : class The data handeler class to inherit from, that will manage the downloading and retriving of saved data. Attributes ... | e65f5aa64919649690059da37f7bd608b823ca6a | <|skeleton|>
class assignmentsLayoutClass:
"""A class to use for generating the layout for the assignments window. Parameters ---------- dataHandelerClass : class The data handeler class to inherit from, that will manage the downloading and retriving of saved data. Attributes ---------- mainWindow : object The PySi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class assignmentsLayoutClass:
"""A class to use for generating the layout for the assignments window. Parameters ---------- dataHandelerClass : class The data handeler class to inherit from, that will manage the downloading and retriving of saved data. Attributes ---------- mainWindow : object The PySimpleGUI windo... | the_stack_v2_python_sparse | assignments/layout/layout.py | GingerNinja2962/wtc-lms-GUI | train | 2 |
2a8d137fc742b347a3918ece17f792b16d96c9e9 | [
"headers = {'Content-Type': 'application/json'}\napi_url = 'http://' + target_address + '/swarm/data/download'\ndata_args = {}\ndata_args['hash'] = swarm_hash\nresponse = requests.get(api_url, data=json.dumps(data_args), headers=headers)\njson_results = {}\njson_results['status'] = response.status_code\nif json_res... | <|body_start_0|>
headers = {'Content-Type': 'application/json'}
api_url = 'http://' + target_address + '/swarm/data/download'
data_args = {}
data_args['hash'] = swarm_hash
response = requests.get(api_url, data=json.dumps(data_args), headers=headers)
json_results = {}
... | Swarm RPC class to provide client-based RESTfull APIs | Swarm_RPC | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Swarm_RPC:
"""Swarm RPC class to provide client-based RESTfull APIs"""
def download_data(target_address, swarm_hash):
"""fetch data from swarm node"""
<|body_0|>
def upload_data(target_address, tx_json):
"""save data on swarm node"""
<|body_1|>
def g... | stack_v2_sparse_classes_36k_train_020289 | 4,116 | no_license | [
{
"docstring": "fetch data from swarm node",
"name": "download_data",
"signature": "def download_data(target_address, swarm_hash)"
},
{
"docstring": "save data on swarm node",
"name": "upload_data",
"signature": "def upload_data(target_address, tx_json)"
},
{
"docstring": "random... | 4 | null | Implement the Python class `Swarm_RPC` described below.
Class description:
Swarm RPC class to provide client-based RESTfull APIs
Method signatures and docstrings:
- def download_data(target_address, swarm_hash): fetch data from swarm node
- def upload_data(target_address, tx_json): save data on swarm node
- def get_s... | Implement the Python class `Swarm_RPC` described below.
Class description:
Swarm RPC class to provide client-based RESTfull APIs
Method signatures and docstrings:
- def download_data(target_address, swarm_hash): fetch data from swarm node
- def upload_data(target_address, tx_json): save data on swarm node
- def get_s... | 03ff57e6fe0114ffd2dd953e79a73a893a6bc0ad | <|skeleton|>
class Swarm_RPC:
"""Swarm RPC class to provide client-based RESTfull APIs"""
def download_data(target_address, swarm_hash):
"""fetch data from swarm node"""
<|body_0|>
def upload_data(target_address, tx_json):
"""save data on swarm node"""
<|body_1|>
def g... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Swarm_RPC:
"""Swarm RPC class to provide client-based RESTfull APIs"""
def download_data(target_address, swarm_hash):
"""fetch data from swarm node"""
headers = {'Content-Type': 'application/json'}
api_url = 'http://' + target_address + '/swarm/data/download'
data_args = {... | the_stack_v2_python_sparse | Security/py_dev/ENF_chain/utils/Swarm_RPC.py | samuelxu999/Research | train | 1 |
fa786575b9c7c156ee9e2d03d4d477d0db8db939 | [
"book = get_object_or_404(models.Edition, id=book_id)\nannotated_links = get_annotated_links(book)\ndata = {'book': book, 'links': annotated_links}\nreturn TemplateResponse(request, 'book/file_links/edit_links.html', data)",
"link = get_object_or_404(models.FileLink, id=link_id, book=book_id)\nform = forms.FileLi... | <|body_start_0|>
book = get_object_or_404(models.Edition, id=book_id)
annotated_links = get_annotated_links(book)
data = {'book': book, 'links': annotated_links}
return TemplateResponse(request, 'book/file_links/edit_links.html', data)
<|end_body_0|>
<|body_start_1|>
link = get_... | View all links | BookFileLinks | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BookFileLinks:
"""View all links"""
def get(self, request, book_id):
"""view links"""
<|body_0|>
def post(self, request, book_id, link_id):
"""Edit a link"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
book = get_object_or_404(models.Edition, i... | stack_v2_sparse_classes_36k_train_020290 | 3,716 | no_license | [
{
"docstring": "view links",
"name": "get",
"signature": "def get(self, request, book_id)"
},
{
"docstring": "Edit a link",
"name": "post",
"signature": "def post(self, request, book_id, link_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008257 | Implement the Python class `BookFileLinks` described below.
Class description:
View all links
Method signatures and docstrings:
- def get(self, request, book_id): view links
- def post(self, request, book_id, link_id): Edit a link | Implement the Python class `BookFileLinks` described below.
Class description:
View all links
Method signatures and docstrings:
- def get(self, request, book_id): view links
- def post(self, request, book_id, link_id): Edit a link
<|skeleton|>
class BookFileLinks:
"""View all links"""
def get(self, request,... | 0f8da5b738047f3c34d60d93f59bdedd8f797224 | <|skeleton|>
class BookFileLinks:
"""View all links"""
def get(self, request, book_id):
"""view links"""
<|body_0|>
def post(self, request, book_id, link_id):
"""Edit a link"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BookFileLinks:
"""View all links"""
def get(self, request, book_id):
"""view links"""
book = get_object_or_404(models.Edition, id=book_id)
annotated_links = get_annotated_links(book)
data = {'book': book, 'links': annotated_links}
return TemplateResponse(request, '... | the_stack_v2_python_sparse | bookwyrm/views/books/links.py | bookwyrm-social/bookwyrm | train | 1,398 |
3b6145ab6f3e46d85d39739b07b32f30d4baef7a | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Proto file describing the Recommendation service. Service to manage recommendations. | RecommendationServiceServicer | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecommendationServiceServicer:
"""Proto file describing the Recommendation service. Service to manage recommendations."""
def GetRecommendation(self, request, context):
"""Returns the requested recommendation in full detail."""
<|body_0|>
def ApplyRecommendation(self, re... | stack_v2_sparse_classes_36k_train_020291 | 4,622 | permissive | [
{
"docstring": "Returns the requested recommendation in full detail.",
"name": "GetRecommendation",
"signature": "def GetRecommendation(self, request, context)"
},
{
"docstring": "Applies given recommendations with corresponding apply parameters.",
"name": "ApplyRecommendation",
"signatu... | 3 | stack_v2_sparse_classes_30k_train_018669 | Implement the Python class `RecommendationServiceServicer` described below.
Class description:
Proto file describing the Recommendation service. Service to manage recommendations.
Method signatures and docstrings:
- def GetRecommendation(self, request, context): Returns the requested recommendation in full detail.
- ... | Implement the Python class `RecommendationServiceServicer` described below.
Class description:
Proto file describing the Recommendation service. Service to manage recommendations.
Method signatures and docstrings:
- def GetRecommendation(self, request, context): Returns the requested recommendation in full detail.
- ... | 0fc8a7dbf31d9e8e2a4364df93bec5f6b7edd50a | <|skeleton|>
class RecommendationServiceServicer:
"""Proto file describing the Recommendation service. Service to manage recommendations."""
def GetRecommendation(self, request, context):
"""Returns the requested recommendation in full detail."""
<|body_0|>
def ApplyRecommendation(self, re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RecommendationServiceServicer:
"""Proto file describing the Recommendation service. Service to manage recommendations."""
def GetRecommendation(self, request, context):
"""Returns the requested recommendation in full detail."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
conte... | the_stack_v2_python_sparse | google/ads/google_ads/v1/proto/services/recommendation_service_pb2_grpc.py | juanmacugat/google-ads-python | train | 1 |
77a2b7d46f092565ee94cd613dcf4c8ebccd75f6 | [
"ds, meta = create_dataset()\nds2, meta2 = create_dataset()\nfor split in ds:\n with self.subTest(f'datasets-{split}'):\n pd.testing.assert_frame_equal(ds[split].to_pandas(), ds2[split].to_pandas())\nwith self.subTest('metadata'):\n pd.testing.assert_frame_equal(meta, meta2)",
"ds, meta = create_data... | <|body_start_0|>
ds, meta = create_dataset()
ds2, meta2 = create_dataset()
for split in ds:
with self.subTest(f'datasets-{split}'):
pd.testing.assert_frame_equal(ds[split].to_pandas(), ds2[split].to_pandas())
with self.subTest('metadata'):
pd.testi... | Tests create dataset | TestCreateDataset | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCreateDataset:
"""Tests create dataset"""
def test_create_dataset_no_change(self):
"""Tests creating the dataset is reproducible"""
<|body_0|>
def test_kmeans_affected_by_seed(self):
"""tests for kmeans seeding stability"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k_train_020292 | 1,668 | permissive | [
{
"docstring": "Tests creating the dataset is reproducible",
"name": "test_create_dataset_no_change",
"signature": "def test_create_dataset_no_change(self)"
},
{
"docstring": "tests for kmeans seeding stability",
"name": "test_kmeans_affected_by_seed",
"signature": "def test_kmeans_affec... | 2 | stack_v2_sparse_classes_30k_train_009046 | Implement the Python class `TestCreateDataset` described below.
Class description:
Tests create dataset
Method signatures and docstrings:
- def test_create_dataset_no_change(self): Tests creating the dataset is reproducible
- def test_kmeans_affected_by_seed(self): tests for kmeans seeding stability | Implement the Python class `TestCreateDataset` described below.
Class description:
Tests create dataset
Method signatures and docstrings:
- def test_create_dataset_no_change(self): Tests creating the dataset is reproducible
- def test_kmeans_affected_by_seed(self): tests for kmeans seeding stability
<|skeleton|>
cla... | 581608cfc4d9b485182c6f5f40dd2ab7540cec66 | <|skeleton|>
class TestCreateDataset:
"""Tests create dataset"""
def test_create_dataset_no_change(self):
"""Tests creating the dataset is reproducible"""
<|body_0|>
def test_kmeans_affected_by_seed(self):
"""tests for kmeans seeding stability"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestCreateDataset:
"""Tests create dataset"""
def test_create_dataset_no_change(self):
"""Tests creating the dataset is reproducible"""
ds, meta = create_dataset()
ds2, meta2 = create_dataset()
for split in ds:
with self.subTest(f'datasets-{split}'):
... | the_stack_v2_python_sparse | projects/coda/probing/dataset/dataset_test.py | nala-cub/coda | train | 2 |
da405edf9a118f9e0e21e90d13bd923d7bcd2890 | [
"if root is None:\n return []\nqueue = []\nresult = []\nqueue.append(root)\nwhile len(queue) > 0:\n current_node = queue.pop(0)\n result.append(current_node.val)\n if current_node.left:\n queue.append(current_node.left)\n if current_node.right:\n queue.append(current_node.right)\nreturn... | <|body_start_0|>
if root is None:
return []
queue = []
result = []
queue.append(root)
while len(queue) > 0:
current_node = queue.pop(0)
result.append(current_node.val)
if current_node.left:
queue.append(current_node.... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def printFromTopToBottom(self, root):
"""层次遍历"""
<|body_0|>
def printFromTopToBottomWithLayer(self, root):
"""增加两个变量，to_be_printed用于表示当前层中还没有打印的节点数， next_level用于表示下一层节点的数目"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if root is None:
... | stack_v2_sparse_classes_36k_train_020293 | 2,577 | no_license | [
{
"docstring": "层次遍历",
"name": "printFromTopToBottom",
"signature": "def printFromTopToBottom(self, root)"
},
{
"docstring": "增加两个变量，to_be_printed用于表示当前层中还没有打印的节点数， next_level用于表示下一层节点的数目",
"name": "printFromTopToBottomWithLayer",
"signature": "def printFromTopToBottomWithLayer(self, roo... | 2 | stack_v2_sparse_classes_30k_train_002143 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def printFromTopToBottom(self, root): 层次遍历
- def printFromTopToBottomWithLayer(self, root): 增加两个变量，to_be_printed用于表示当前层中还没有打印的节点数， next_level用于表示下一层节点的数目 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def printFromTopToBottom(self, root): 层次遍历
- def printFromTopToBottomWithLayer(self, root): 增加两个变量，to_be_printed用于表示当前层中还没有打印的节点数， next_level用于表示下一层节点的数目
<|skeleton|>
class Solu... | 14fb97af36c5fb1d69439585adb0db0ce9eae45d | <|skeleton|>
class Solution:
def printFromTopToBottom(self, root):
"""层次遍历"""
<|body_0|>
def printFromTopToBottomWithLayer(self, root):
"""增加两个变量，to_be_printed用于表示当前层中还没有打印的节点数， next_level用于表示下一层节点的数目"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def printFromTopToBottom(self, root):
"""层次遍历"""
if root is None:
return []
queue = []
result = []
queue.append(root)
while len(queue) > 0:
current_node = queue.pop(0)
result.append(current_node.val)
if c... | the_stack_v2_python_sparse | 32从上到下打印二叉树.py | zhanvwei/targetoffer | train | 0 | |
0aea387b44f962dbde4f265465abfc9d3944dee6 | [
"tiff_path = 'C:\\\\Users\\\\74722\\\\Desktop\\\\del\\\\slope_reclass.tif'\nsave_path = 'C:\\\\Users\\\\74722\\\\Desktop\\\\del\\\\color_tiff.tif'\ncolor_info = {1: {}}\nfor i in [1, 2, 3, 4, 5, 6, 51, 52, 53, 54]:\n color_info[1][i] = ImageUtil.get_rand_color()\nGdalBase.add_color_map_to_dataset(tiff_path, colo... | <|body_start_0|>
tiff_path = 'C:\\Users\\74722\\Desktop\\del\\slope_reclass.tif'
save_path = 'C:\\Users\\74722\\Desktop\\del\\color_tiff.tif'
color_info = {1: {}}
for i in [1, 2, 3, 4, 5, 6, 51, 52, 53, 54]:
color_info[1][i] = ImageUtil.get_rand_color()
GdalBase.add_c... | 出各种类型的专题图 | ImageMapping | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageMapping:
"""出各种类型的专题图"""
def tiff_to_pic():
"""tiff 转图片"""
<|body_0|>
def tiff_to_image_mat(tiff_path, legend_info):
"""tiff转为标准格式，设置无值区为白色"""
<|body_1|>
def tiff_to_image_mat_SM(tiff_path):
"""tiff转为标准格式，设置无值区为白色"""
<|body_2|>
... | stack_v2_sparse_classes_36k_train_020294 | 33,197 | no_license | [
{
"docstring": "tiff 转图片",
"name": "tiff_to_pic",
"signature": "def tiff_to_pic()"
},
{
"docstring": "tiff转为标准格式，设置无值区为白色",
"name": "tiff_to_image_mat",
"signature": "def tiff_to_image_mat(tiff_path, legend_info)"
},
{
"docstring": "tiff转为标准格式，设置无值区为白色",
"name": "tiff_to_imag... | 4 | null | Implement the Python class `ImageMapping` described below.
Class description:
出各种类型的专题图
Method signatures and docstrings:
- def tiff_to_pic(): tiff 转图片
- def tiff_to_image_mat(tiff_path, legend_info): tiff转为标准格式，设置无值区为白色
- def tiff_to_image_mat_SM(tiff_path): tiff转为标准格式，设置无值区为白色
- def classification(tiff_path, legend... | Implement the Python class `ImageMapping` described below.
Class description:
出各种类型的专题图
Method signatures and docstrings:
- def tiff_to_pic(): tiff 转图片
- def tiff_to_image_mat(tiff_path, legend_info): tiff转为标准格式，设置无值区为白色
- def tiff_to_image_mat_SM(tiff_path): tiff转为标准格式，设置无值区为白色
- def classification(tiff_path, legend... | 32e64be10a6cd2856850f6720d70b4c6e7033f4e | <|skeleton|>
class ImageMapping:
"""出各种类型的专题图"""
def tiff_to_pic():
"""tiff 转图片"""
<|body_0|>
def tiff_to_image_mat(tiff_path, legend_info):
"""tiff转为标准格式，设置无值区为白色"""
<|body_1|>
def tiff_to_image_mat_SM(tiff_path):
"""tiff转为标准格式，设置无值区为白色"""
<|body_2|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImageMapping:
"""出各种类型的专题图"""
def tiff_to_pic():
"""tiff 转图片"""
tiff_path = 'C:\\Users\\74722\\Desktop\\del\\slope_reclass.tif'
save_path = 'C:\\Users\\74722\\Desktop\\del\\color_tiff.tif'
color_info = {1: {}}
for i in [1, 2, 3, 4, 5, 6, 51, 52, 53, 54]:
... | the_stack_v2_python_sparse | Z_other/ImgMatTiffUtil/ImageUtil.py | newjokker/PyUtil | train | 0 |
5a8e8464d120b2fcb4a61b693c828f79db7b439c | [
"dim_ob = ob_space.shape[0]\nn_actions = ac_space.n\nexpected_shape = (dim_ob + 1) * n_actions\nif len(theta) != expected_shape:\n raise WrongShapeError('Expected a theta of length {} instead of {}'.format(expected_shape, len(theta)))\nself.W = theta[0:dim_ob * n_actions].reshape(dim_ob, n_actions)\nself.b = the... | <|body_start_0|>
dim_ob = ob_space.shape[0]
n_actions = ac_space.n
expected_shape = (dim_ob + 1) * n_actions
if len(theta) != expected_shape:
raise WrongShapeError('Expected a theta of length {} instead of {}'.format(expected_shape, len(theta)))
self.W = theta[0:dim_o... | Deterministicially select an action from a discrete action space using a linear function. | DeterministicDiscreteActionLinearPolicy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeterministicDiscreteActionLinearPolicy:
"""Deterministicially select an action from a discrete action space using a linear function."""
def __init__(self, theta, ob_space, ac_space) -> None:
"""dim_ob: dimension of observations n_actions: number of actions theta: flat vector of para... | stack_v2_sparse_classes_36k_train_020295 | 7,807 | permissive | [
{
"docstring": "dim_ob: dimension of observations n_actions: number of actions theta: flat vector of parameters",
"name": "__init__",
"signature": "def __init__(self, theta, ob_space, ac_space) -> None"
},
{
"docstring": "Select the action that got the highest value from the linear function.",
... | 2 | stack_v2_sparse_classes_30k_train_002089 | Implement the Python class `DeterministicDiscreteActionLinearPolicy` described below.
Class description:
Deterministicially select an action from a discrete action space using a linear function.
Method signatures and docstrings:
- def __init__(self, theta, ob_space, ac_space) -> None: dim_ob: dimension of observation... | Implement the Python class `DeterministicDiscreteActionLinearPolicy` described below.
Class description:
Deterministicially select an action from a discrete action space using a linear function.
Method signatures and docstrings:
- def __init__(self, theta, ob_space, ac_space) -> None: dim_ob: dimension of observation... | d63ea61f8379a7e0a9786e4bb717813ed53bb8f0 | <|skeleton|>
class DeterministicDiscreteActionLinearPolicy:
"""Deterministicially select an action from a discrete action space using a linear function."""
def __init__(self, theta, ob_space, ac_space) -> None:
"""dim_ob: dimension of observations n_actions: number of actions theta: flat vector of para... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeterministicDiscreteActionLinearPolicy:
"""Deterministicially select an action from a discrete action space using a linear function."""
def __init__(self, theta, ob_space, ac_space) -> None:
"""dim_ob: dimension of observations n_actions: number of actions theta: flat vector of parameters"""
... | the_stack_v2_python_sparse | yarll/agents/basic/cem.py | arnomoonens/yarll | train | 21 |
87ff6cd289860501c9322aa03eec90c2cc9c4048 | [
"self.hard_constraint = hard_constraint\nself.char_level = char_level\nself.sent_delimiter = sent_delimiter\nself.max_seq_len = max_seq_len\nself.delimiter = delimiter\nsuper().__init__(data, transform, cache, generate_idx)",
"f = TimingFileIterator(filepath)\nfor line in f:\n line = line.rstrip('\\n')\n to... | <|body_start_0|>
self.hard_constraint = hard_constraint
self.char_level = char_level
self.sent_delimiter = sent_delimiter
self.max_seq_len = max_seq_len
self.delimiter = delimiter
super().__init__(data, transform, cache, generate_idx)
<|end_body_0|>
<|body_start_1|>
... | TextTokenizingDataset | [
"Apache-2.0",
"CC-BY-NC-SA-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextTokenizingDataset:
def __init__(self, data: Union[str, List], transform: Union[Callable, List]=None, cache=None, generate_idx=None, delimiter=None, max_seq_len=None, sent_delimiter=None, char_level=False, hard_constraint=False) -> None:
"""A dataset for tagging tokenization tasks. Ar... | stack_v2_sparse_classes_36k_train_020296 | 5,643 | permissive | [
{
"docstring": "A dataset for tagging tokenization tasks. Args: data: The local or remote path to a dataset, or a list of samples where each sample is a dict. transform: Predefined transform(s). cache: ``True`` to enable caching, so that transforms won't be called twice. generate_idx: Create a :const:`~hanlp_co... | 2 | null | Implement the Python class `TextTokenizingDataset` described below.
Class description:
Implement the TextTokenizingDataset class.
Method signatures and docstrings:
- def __init__(self, data: Union[str, List], transform: Union[Callable, List]=None, cache=None, generate_idx=None, delimiter=None, max_seq_len=None, sent_... | Implement the Python class `TextTokenizingDataset` described below.
Class description:
Implement the TextTokenizingDataset class.
Method signatures and docstrings:
- def __init__(self, data: Union[str, List], transform: Union[Callable, List]=None, cache=None, generate_idx=None, delimiter=None, max_seq_len=None, sent_... | be2f04905a12990a527417bd47b79b851874a201 | <|skeleton|>
class TextTokenizingDataset:
def __init__(self, data: Union[str, List], transform: Union[Callable, List]=None, cache=None, generate_idx=None, delimiter=None, max_seq_len=None, sent_delimiter=None, char_level=False, hard_constraint=False) -> None:
"""A dataset for tagging tokenization tasks. Ar... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TextTokenizingDataset:
def __init__(self, data: Union[str, List], transform: Union[Callable, List]=None, cache=None, generate_idx=None, delimiter=None, max_seq_len=None, sent_delimiter=None, char_level=False, hard_constraint=False) -> None:
"""A dataset for tagging tokenization tasks. Args: data: The ... | the_stack_v2_python_sparse | hanlp/datasets/tokenization/loaders/txt.py | hankcs/HanLP | train | 32,454 | |
feef0d345203017f14ce2e2591defb0a94057fc7 | [
"self.config_entry = config_entry\nself.meter = meter\nself.discovergy_client = discovergy_client\nsuper().__init__(hass, _LOGGER, name=DOMAIN, update_interval=timedelta(seconds=30))",
"try:\n return await self.discovergy_client.meter_last_reading(self.meter.meter_id)\nexcept AccessTokenExpired as err:\n ra... | <|body_start_0|>
self.config_entry = config_entry
self.meter = meter
self.discovergy_client = discovergy_client
super().__init__(hass, _LOGGER, name=DOMAIN, update_interval=timedelta(seconds=30))
<|end_body_0|>
<|body_start_1|>
try:
return await self.discovergy_clien... | The Discovergy update coordinator. | DiscovergyUpdateCoordinator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DiscovergyUpdateCoordinator:
"""The Discovergy update coordinator."""
def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, meter: Meter, discovergy_client: Discovergy) -> None:
"""Initialize the Discovergy coordinator."""
<|body_0|>
async def _async_update_... | stack_v2_sparse_classes_36k_train_020297 | 1,859 | permissive | [
{
"docstring": "Initialize the Discovergy coordinator.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, meter: Meter, discovergy_client: Discovergy) -> None"
},
{
"docstring": "Get last reading for meter.",
"name": "_async_update_data",
... | 2 | stack_v2_sparse_classes_30k_train_015618 | Implement the Python class `DiscovergyUpdateCoordinator` described below.
Class description:
The Discovergy update coordinator.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, meter: Meter, discovergy_client: Discovergy) -> None: Initialize the Discovergy coordin... | Implement the Python class `DiscovergyUpdateCoordinator` described below.
Class description:
The Discovergy update coordinator.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, meter: Meter, discovergy_client: Discovergy) -> None: Initialize the Discovergy coordin... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class DiscovergyUpdateCoordinator:
"""The Discovergy update coordinator."""
def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, meter: Meter, discovergy_client: Discovergy) -> None:
"""Initialize the Discovergy coordinator."""
<|body_0|>
async def _async_update_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DiscovergyUpdateCoordinator:
"""The Discovergy update coordinator."""
def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, meter: Meter, discovergy_client: Discovergy) -> None:
"""Initialize the Discovergy coordinator."""
self.config_entry = config_entry
self.meter =... | the_stack_v2_python_sparse | homeassistant/components/discovergy/coordinator.py | home-assistant/core | train | 35,501 |
cc2e7d5a62eb6343275fbd3b1eb20ed2a2f54c98 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | AccessGrantApiServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccessGrantApiServicer:
"""Missing associated documentation comment in .proto file."""
def CreateAccessGrant(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def DeleteAccessGrant(self, request, context):
"""Missi... | stack_v2_sparse_classes_36k_train_020298 | 23,031 | permissive | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "CreateAccessGrant",
"signature": "def CreateAccessGrant(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "DeleteAccessGrant",
"signature": "de... | 5 | stack_v2_sparse_classes_30k_train_020650 | Implement the Python class `AccessGrantApiServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def CreateAccessGrant(self, request, context): Missing associated documentation comment in .proto file.
- def DeleteAccessGrant(self, req... | Implement the Python class `AccessGrantApiServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def CreateAccessGrant(self, request, context): Missing associated documentation comment in .proto file.
- def DeleteAccessGrant(self, req... | 039e4a679b554e085f935f8d725f560bdce6b688 | <|skeleton|>
class AccessGrantApiServicer:
"""Missing associated documentation comment in .proto file."""
def CreateAccessGrant(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def DeleteAccessGrant(self, request, context):
"""Missi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AccessGrantApiServicer:
"""Missing associated documentation comment in .proto file."""
def CreateAccessGrant(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not impl... | the_stack_v2_python_sparse | descarteslabs/common/proto/discover/discover_pb2_grpc.py | stjordanis/descarteslabs-python | train | 0 |
5fd0796eb7d9c272870d5eceedb9458ac91c5ba7 | [
"self.bandwidth_bytes_per_second = bandwidth_bytes_per_second\nself.cassandra_backup_job_params = cassandra_backup_job_params\nself.compaction_job_interval_secs = compaction_job_interval_secs\nself.concurrency = concurrency\nself.couchbase_backup_job_params = couchbase_backup_job_params\nself.gc_job_interval_secs =... | <|body_start_0|>
self.bandwidth_bytes_per_second = bandwidth_bytes_per_second
self.cassandra_backup_job_params = cassandra_backup_job_params
self.compaction_job_interval_secs = compaction_job_interval_secs
self.concurrency = concurrency
self.couchbase_backup_job_params = couchbas... | Implementation of the 'NoSqlBackupJobParams' model. Contains backup params at the job level applicable for nosql environment. Attributes: bandwidth_bytes_per_second (int): Net bandwidth bytes per second. cassandra_backup_job_params (CassandraBackupJobParams): Params specific to cassandra backup job. compaction_job_inte... | NoSqlBackupJobParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NoSqlBackupJobParams:
"""Implementation of the 'NoSqlBackupJobParams' model. Contains backup params at the job level applicable for nosql environment. Attributes: bandwidth_bytes_per_second (int): Net bandwidth bytes per second. cassandra_backup_job_params (CassandraBackupJobParams): Params speci... | stack_v2_sparse_classes_36k_train_020299 | 7,871 | permissive | [
{
"docstring": "Constructor for the NoSqlBackupJobParams class",
"name": "__init__",
"signature": "def __init__(self, bandwidth_bytes_per_second=None, cassandra_backup_job_params=None, compaction_job_interval_secs=None, concurrency=None, couchbase_backup_job_params=None, gc_job_interval_secs=None, gc_re... | 2 | stack_v2_sparse_classes_30k_train_001885 | Implement the Python class `NoSqlBackupJobParams` described below.
Class description:
Implementation of the 'NoSqlBackupJobParams' model. Contains backup params at the job level applicable for nosql environment. Attributes: bandwidth_bytes_per_second (int): Net bandwidth bytes per second. cassandra_backup_job_params (... | Implement the Python class `NoSqlBackupJobParams` described below.
Class description:
Implementation of the 'NoSqlBackupJobParams' model. Contains backup params at the job level applicable for nosql environment. Attributes: bandwidth_bytes_per_second (int): Net bandwidth bytes per second. cassandra_backup_job_params (... | 0093194d125fc6746f55b8499da1270c64f473fc | <|skeleton|>
class NoSqlBackupJobParams:
"""Implementation of the 'NoSqlBackupJobParams' model. Contains backup params at the job level applicable for nosql environment. Attributes: bandwidth_bytes_per_second (int): Net bandwidth bytes per second. cassandra_backup_job_params (CassandraBackupJobParams): Params speci... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NoSqlBackupJobParams:
"""Implementation of the 'NoSqlBackupJobParams' model. Contains backup params at the job level applicable for nosql environment. Attributes: bandwidth_bytes_per_second (int): Net bandwidth bytes per second. cassandra_backup_job_params (CassandraBackupJobParams): Params specific to cassan... | the_stack_v2_python_sparse | cohesity_management_sdk/models/no_sql_backup_job_params.py | hsantoyo2/management-sdk-python | train | 0 |
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