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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values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
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value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c073eacd5271b68751dc11dcafad041d624c7057 | [
"self.files_downloaded = 0\nself.files_processed = 0\nself.exception_count = 0\nself.now = time_utils.get_utc_now()\nself.grib_processor = GribFileProcessor(station_source)\nself.model_type: ModelEnum = model_type\nif self.model_type == ModelEnum.GFS:\n self.projection = ProjectionEnum.GFS_LONLAT\nelif self.mode... | <|body_start_0|>
self.files_downloaded = 0
self.files_processed = 0
self.exception_count = 0
self.now = time_utils.get_utc_now()
self.grib_processor = GribFileProcessor(station_source)
self.model_type: ModelEnum = model_type
if self.model_type == ModelEnum.GFS:
... | Class that orchestrates downloading and processing of GFS weather model grib files from NOAA. | NOAA | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NOAA:
"""Class that orchestrates downloading and processing of GFS weather model grib files from NOAA."""
def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED):
"""Prep variables"""
<|body_0|>
def process_model_run_url... | stack_v2_sparse_classes_36k_train_021100 | 18,846 | permissive | [
{
"docstring": "Prep variables",
"name": "__init__",
"signature": "def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED)"
},
{
"docstring": "Process the urls for a model run.",
"name": "process_model_run_urls",
"signature": "def proces... | 4 | null | Implement the Python class `NOAA` described below.
Class description:
Class that orchestrates downloading and processing of GFS weather model grib files from NOAA.
Method signatures and docstrings:
- def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED): Prep varia... | Implement the Python class `NOAA` described below.
Class description:
Class that orchestrates downloading and processing of GFS weather model grib files from NOAA.
Method signatures and docstrings:
- def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED): Prep varia... | 0ba707b0eddc280240964efa481988df92046e6a | <|skeleton|>
class NOAA:
"""Class that orchestrates downloading and processing of GFS weather model grib files from NOAA."""
def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED):
"""Prep variables"""
<|body_0|>
def process_model_run_url... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NOAA:
"""Class that orchestrates downloading and processing of GFS weather model grib files from NOAA."""
def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED):
"""Prep variables"""
self.files_downloaded = 0
self.files_processed... | the_stack_v2_python_sparse | api/app/jobs/noaa.py | bcgov/wps | train | 35 |
38ba1d971ae5588a2cb144c3285cc379a600d60a | [
"from . import _vtk\nimage_data = pyvista.read(image_path)\nsuper().__init__(parent, border=False)\nself.SetLayer(0)\nself.InteractiveOff()\nself.SetBackground(self.parent.renderer.GetBackground())\nself._scale = scale\nself._modified_observer = None\nself._prior_window_size = None\nif view_port is not None:\n s... | <|body_start_0|>
from . import _vtk
image_data = pyvista.read(image_path)
super().__init__(parent, border=False)
self.SetLayer(0)
self.InteractiveOff()
self.SetBackground(self.parent.renderer.GetBackground())
self._scale = scale
self._modified_observer = N... | BackgroundRenderer for visualizing a background image. | BackgroundRenderer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackgroundRenderer:
"""BackgroundRenderer for visualizing a background image."""
def __init__(self, parent, image_path, scale=1, view_port=None):
"""Initialize BackgroundRenderer with an image."""
<|body_0|>
def resize(self, *args):
"""Resize a background rendere... | stack_v2_sparse_classes_36k_train_021101 | 2,566 | permissive | [
{
"docstring": "Initialize BackgroundRenderer with an image.",
"name": "__init__",
"signature": "def __init__(self, parent, image_path, scale=1, view_port=None)"
},
{
"docstring": "Resize a background renderer.",
"name": "resize",
"signature": "def resize(self, *args)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010671 | Implement the Python class `BackgroundRenderer` described below.
Class description:
BackgroundRenderer for visualizing a background image.
Method signatures and docstrings:
- def __init__(self, parent, image_path, scale=1, view_port=None): Initialize BackgroundRenderer with an image.
- def resize(self, *args): Resize... | Implement the Python class `BackgroundRenderer` described below.
Class description:
BackgroundRenderer for visualizing a background image.
Method signatures and docstrings:
- def __init__(self, parent, image_path, scale=1, view_port=None): Initialize BackgroundRenderer with an image.
- def resize(self, *args): Resize... | 1b450b23340f367315fc914075d551e0a4df8cc3 | <|skeleton|>
class BackgroundRenderer:
"""BackgroundRenderer for visualizing a background image."""
def __init__(self, parent, image_path, scale=1, view_port=None):
"""Initialize BackgroundRenderer with an image."""
<|body_0|>
def resize(self, *args):
"""Resize a background rendere... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BackgroundRenderer:
"""BackgroundRenderer for visualizing a background image."""
def __init__(self, parent, image_path, scale=1, view_port=None):
"""Initialize BackgroundRenderer with an image."""
from . import _vtk
image_data = pyvista.read(image_path)
super().__init__(pa... | the_stack_v2_python_sparse | pyvista/plotting/background_renderer.py | pyvista/pyvista | train | 1,885 |
85036a831bd84fd4f7b1c638cb11886c6c5b2780 | [
"super().__init__(input_feature, output_feature)\nif not isinstance(classes, list) or not all((isinstance(x, int) for x in classes)):\n raise ValueError('classes argument should be a list of integers.')\nif no_data_value in classes:\n raise ValueError('classes argument must not contain no_data_value')\nself.c... | <|body_start_0|>
super().__init__(input_feature, output_feature)
if not isinstance(classes, list) or not all((isinstance(x, int) for x in classes)):
raise ValueError('classes argument should be a list of integers.')
if no_data_value in classes:
raise ValueError('classes a... | Calculates frequencies of each provided class through the temporal dimension. | ClassFrequencyTask | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClassFrequencyTask:
"""Calculates frequencies of each provided class through the temporal dimension."""
def __init__(self, input_feature, output_feature, classes, no_data_value=0):
""":param input_feature: A source feature from which to read the values. :type input_feature: an object... | stack_v2_sparse_classes_36k_train_021102 | 2,137 | permissive | [
{
"docstring": ":param input_feature: A source feature from which to read the values. :type input_feature: an object supported by the :class:`FeatureParser<eolearn.core.utilities.FeatureParser>` :param output_feature: An output feature to which to write the frequencies. :type output_feature: an object supported... | 2 | stack_v2_sparse_classes_30k_train_005148 | Implement the Python class `ClassFrequencyTask` described below.
Class description:
Calculates frequencies of each provided class through the temporal dimension.
Method signatures and docstrings:
- def __init__(self, input_feature, output_feature, classes, no_data_value=0): :param input_feature: A source feature from... | Implement the Python class `ClassFrequencyTask` described below.
Class description:
Calculates frequencies of each provided class through the temporal dimension.
Method signatures and docstrings:
- def __init__(self, input_feature, output_feature, classes, no_data_value=0): :param input_feature: A source feature from... | 148189e2b92e06059b87f223b596255ccafac86d | <|skeleton|>
class ClassFrequencyTask:
"""Calculates frequencies of each provided class through the temporal dimension."""
def __init__(self, input_feature, output_feature, classes, no_data_value=0):
""":param input_feature: A source feature from which to read the values. :type input_feature: an object... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClassFrequencyTask:
"""Calculates frequencies of each provided class through the temporal dimension."""
def __init__(self, input_feature, output_feature, classes, no_data_value=0):
""":param input_feature: A source feature from which to read the values. :type input_feature: an object supported by... | the_stack_v2_python_sparse | mask/eolearn/mask/mask_counting.py | wouellette/eo-learn | train | 2 |
feba04afbeef611a99d0e05ab339d43c530a3b66 | [
"self.strings = self.Node('')\nfor string in strings:\n curr_node = self.strings\n for char in string:\n curr_node.strings.append(string)\n if char not in curr_node.branches:\n curr_node.branches[char] = self.Node(char)\n curr_node = curr_node.branches[char]\n curr_node.stri... | <|body_start_0|>
self.strings = self.Node('')
for string in strings:
curr_node = self.strings
for char in string:
curr_node.strings.append(string)
if char not in curr_node.branches:
curr_node.branches[char] = self.Node(char)
... | AutoComplete | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutoComplete:
def __init__(self, strings):
"""Constructing a tree from the input strings"""
<|body_0|>
def lookup(self, qry):
"""searches the strings tree to find the subtree that contains all strings for the provided substring"""
<|body_1|>
<|end_skeleton|>... | stack_v2_sparse_classes_36k_train_021103 | 1,496 | no_license | [
{
"docstring": "Constructing a tree from the input strings",
"name": "__init__",
"signature": "def __init__(self, strings)"
},
{
"docstring": "searches the strings tree to find the subtree that contains all strings for the provided substring",
"name": "lookup",
"signature": "def lookup(s... | 2 | stack_v2_sparse_classes_30k_train_019992 | Implement the Python class `AutoComplete` described below.
Class description:
Implement the AutoComplete class.
Method signatures and docstrings:
- def __init__(self, strings): Constructing a tree from the input strings
- def lookup(self, qry): searches the strings tree to find the subtree that contains all strings f... | Implement the Python class `AutoComplete` described below.
Class description:
Implement the AutoComplete class.
Method signatures and docstrings:
- def __init__(self, strings): Constructing a tree from the input strings
- def lookup(self, qry): searches the strings tree to find the subtree that contains all strings f... | 3ad5e09fa556567870840dc6d6ef8545f878962f | <|skeleton|>
class AutoComplete:
def __init__(self, strings):
"""Constructing a tree from the input strings"""
<|body_0|>
def lookup(self, qry):
"""searches the strings tree to find the subtree that contains all strings for the provided substring"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AutoComplete:
def __init__(self, strings):
"""Constructing a tree from the input strings"""
self.strings = self.Node('')
for string in strings:
curr_node = self.strings
for char in string:
curr_node.strings.append(string)
if char ... | the_stack_v2_python_sparse | 11/solution.py | gergelyrevay/daily_coding_exercises | train | 0 | |
3650b6e3202c39cf65ea3b35642380706992ec91 | [
"if not root:\n return ''\nresult = []\nmystack = [root]\nwhile mystack:\n node = mystack.pop()\n if not node:\n result.append('#')\n else:\n result.append(str(node.val))\n mystack.append(node.right)\n mystack.append(node.left)\nreturn ','.join(result)",
"def helper(mylist,... | <|body_start_0|>
if not root:
return ''
result = []
mystack = [root]
while mystack:
node = mystack.pop()
if not node:
result.append('#')
else:
result.append(str(node.val))
mystack.append(node.... | 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_021104 | 1,137 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | cc7f41e2fb3ed5734c2a5af97e49a5bc17afbceb | <|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"""
if not root:
return ''
result = []
mystack = [root]
while mystack:
node = mystack.pop()
if not node:
result.ap... | the_stack_v2_python_sparse | 面试题37-序列化二叉树.py | Terry-Ma/Leetcode | train | 0 | |
1c3604b96d02fbf96a5450f6d743d10a155b450c | [
"super().__init__(file_contents, results)\nself.interpolates_text_or_html = False\nself.format_caller_node = None",
"if isinstance(node.func, ast.Attribute) and node.func.attr == 'format':\n if self.format_caller_node is None:\n self.format_caller_node = node.func.value\nelif isinstance(node.func, ast.N... | <|body_start_0|>
super().__init__(file_contents, results)
self.interpolates_text_or_html = False
self.format_caller_node = None
<|end_body_0|>
<|body_start_1|>
if isinstance(node.func, ast.Attribute) and node.func.attr == 'format':
if self.format_caller_node is None:
... | Checks if format() interpolates any HTML() or Text() calls. In other words, are Text() or HTML() calls nested inside the call to format(). This visitor is meant to be called on a format() attribute node. | FormatInterpolateVisitor | [
"MIT",
"AGPL-3.0-only",
"AGPL-3.0-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FormatInterpolateVisitor:
"""Checks if format() interpolates any HTML() or Text() calls. In other words, are Text() or HTML() calls nested inside the call to format(). This visitor is meant to be called on a format() attribute node."""
def __init__(self, file_contents, results):
"""I... | stack_v2_sparse_classes_36k_train_021105 | 12,510 | permissive | [
{
"docstring": "Init function. Arguments: file_contents: The contents of the Python file. results: A file results objects to which violations will be added.",
"name": "__init__",
"signature": "def __init__(self, file_contents, results)"
},
{
"docstring": "Checks all calls. Remembers the caller o... | 3 | null | Implement the Python class `FormatInterpolateVisitor` described below.
Class description:
Checks if format() interpolates any HTML() or Text() calls. In other words, are Text() or HTML() calls nested inside the call to format(). This visitor is meant to be called on a format() attribute node.
Method signatures and do... | Implement the Python class `FormatInterpolateVisitor` described below.
Class description:
Checks if format() interpolates any HTML() or Text() calls. In other words, are Text() or HTML() calls nested inside the call to format(). This visitor is meant to be called on a format() attribute node.
Method signatures and do... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class FormatInterpolateVisitor:
"""Checks if format() interpolates any HTML() or Text() calls. In other words, are Text() or HTML() calls nested inside the call to format(). This visitor is meant to be called on a format() attribute node."""
def __init__(self, file_contents, results):
"""I... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FormatInterpolateVisitor:
"""Checks if format() interpolates any HTML() or Text() calls. In other words, are Text() or HTML() calls nested inside the call to format(). This visitor is meant to be called on a format() attribute node."""
def __init__(self, file_contents, results):
"""Init function.... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/scripts/xsslint/xsslint/visitors.py | luque/better-ways-of-thinking-about-software | train | 3 |
f6d263115bdf9d3f83851e3fd401b389d7413cf7 | [
"self.error_type = None\nif isinstance(element_or_cond, str):\n if element_or_cond not in STANZA_ERRORS:\n raise ValueError('Bad error condition')\nelif element_or_cond.tag.startswith('{'):\n namespace = element_or_cond.tag[1:].split('}', 1)[0]\n if namespace not in STANZA_NAMESPACES:\n raise... | <|body_start_0|>
self.error_type = None
if isinstance(element_or_cond, str):
if element_or_cond not in STANZA_ERRORS:
raise ValueError('Bad error condition')
elif element_or_cond.tag.startswith('{'):
namespace = element_or_cond.tag[1:].split('}', 1)[0]
... | Stanza error element. :Ivariables: - `error_type`: 'type' of the error, one of: 'auth', 'cancel', 'continue', 'modify', 'wait' :Types: - `error_type`: `str` | StanzaErrorElement | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StanzaErrorElement:
"""Stanza error element. :Ivariables: - `error_type`: 'type' of the error, one of: 'auth', 'cancel', 'continue', 'modify', 'wait' :Types: - `error_type`: `str`"""
def __init__(self, element_or_cond, text=None, language=None, error_type=None):
"""Initialize an Stan... | stack_v2_sparse_classes_36k_train_021106 | 16,456 | permissive | [
{
"docstring": "Initialize an StanzaErrorElement object. :Parameters: - `element_or_cond`: XML <error/> element to decode or an error condition name or element. - `text`: optional description to override the default one - `language`: RFC 3066 language tag for the description - `error_type`: 'type' of the error,... | 4 | null | Implement the Python class `StanzaErrorElement` described below.
Class description:
Stanza error element. :Ivariables: - `error_type`: 'type' of the error, one of: 'auth', 'cancel', 'continue', 'modify', 'wait' :Types: - `error_type`: `str`
Method signatures and docstrings:
- def __init__(self, element_or_cond, text=... | Implement the Python class `StanzaErrorElement` described below.
Class description:
Stanza error element. :Ivariables: - `error_type`: 'type' of the error, one of: 'auth', 'cancel', 'continue', 'modify', 'wait' :Types: - `error_type`: `str`
Method signatures and docstrings:
- def __init__(self, element_or_cond, text=... | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | <|skeleton|>
class StanzaErrorElement:
"""Stanza error element. :Ivariables: - `error_type`: 'type' of the error, one of: 'auth', 'cancel', 'continue', 'modify', 'wait' :Types: - `error_type`: `str`"""
def __init__(self, element_or_cond, text=None, language=None, error_type=None):
"""Initialize an Stan... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StanzaErrorElement:
"""Stanza error element. :Ivariables: - `error_type`: 'type' of the error, one of: 'auth', 'cancel', 'continue', 'modify', 'wait' :Types: - `error_type`: `str`"""
def __init__(self, element_or_cond, text=None, language=None, error_type=None):
"""Initialize an StanzaErrorElemen... | the_stack_v2_python_sparse | python3-alpha/python-libs/pyxmpp2/error.py | kuri65536/python-for-android | train | 280 |
a02d45d50426a72b18991c0c25da0082ba9e835f | [
"self._dependency_fetcher = ChromeDependencyFetcher(get_repository)\nself._get_repository = get_repository\nself._top_n_frames = top_n_frames\nself._top_n_suspects = top_n_suspects\nself._model = UnnormalizedLogLinearModel(meta_feature, meta_weight)",
"annotated_report = CrashReportWithDependencies(report, self._... | <|body_start_0|>
self._dependency_fetcher = ChromeDependencyFetcher(get_repository)
self._get_repository = get_repository
self._top_n_frames = top_n_frames
self._top_n_suspects = top_n_suspects
self._model = UnnormalizedLogLinearModel(meta_feature, meta_weight)
<|end_body_0|>
<|... | A ``LogLinearModel``-based implementation of CL classification. | LogLinearChangelistClassifier | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogLinearChangelistClassifier:
"""A ``LogLinearModel``-based implementation of CL classification."""
def __init__(self, get_repository, meta_feature, meta_weight, top_n_frames=7, top_n_suspects=3):
"""Args: get_repository (callable): a function from DEP urls to ``Repository`` objects... | stack_v2_sparse_classes_36k_train_021107 | 5,932 | permissive | [
{
"docstring": "Args: get_repository (callable): a function from DEP urls to ``Repository`` objects, so we can get changelogs and blame for each dep. Notably, to keep the code here generic, we make no assumptions about which subclass of ``Repository`` this function returns. Thus, it is up to the caller to decid... | 4 | null | Implement the Python class `LogLinearChangelistClassifier` described below.
Class description:
A ``LogLinearModel``-based implementation of CL classification.
Method signatures and docstrings:
- def __init__(self, get_repository, meta_feature, meta_weight, top_n_frames=7, top_n_suspects=3): Args: get_repository (call... | Implement the Python class `LogLinearChangelistClassifier` described below.
Class description:
A ``LogLinearModel``-based implementation of CL classification.
Method signatures and docstrings:
- def __init__(self, get_repository, meta_feature, meta_weight, top_n_frames=7, top_n_suspects=3): Args: get_repository (call... | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | <|skeleton|>
class LogLinearChangelistClassifier:
"""A ``LogLinearModel``-based implementation of CL classification."""
def __init__(self, get_repository, meta_feature, meta_weight, top_n_frames=7, top_n_suspects=3):
"""Args: get_repository (callable): a function from DEP urls to ``Repository`` objects... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LogLinearChangelistClassifier:
"""A ``LogLinearModel``-based implementation of CL classification."""
def __init__(self, get_repository, meta_feature, meta_weight, top_n_frames=7, top_n_suspects=3):
"""Args: get_repository (callable): a function from DEP urls to ``Repository`` objects, so we can g... | the_stack_v2_python_sparse | appengine/findit/crash/loglinear/changelist_classifier.py | TrellixVulnTeam/chromium-infra_A6Y5 | train | 0 |
b2b1e3f407fe13f0ee61d12232288fbade0d0cb0 | [
"from collections import deque\nstack = deque()\nif root == None:\n return\nstack.appendleft(root)\nprev = None\nwhile len(stack) > 0:\n node = stack.popleft()\n if node.right != None:\n rnode = node.right\n stack.appendleft(rnode)\n if node.left != None:\n stack.appendleft(node.lef... | <|body_start_0|>
from collections import deque
stack = deque()
if root == None:
return
stack.appendleft(root)
prev = None
while len(stack) > 0:
node = stack.popleft()
if node.right != None:
rnode = node.right
... | Ex114 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ex114:
def flatten(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
<|body_0|>
def flatten0(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
<|... | stack_v2_sparse_classes_36k_train_021108 | 2,377 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.",
"name": "flatten",
"signature": "def flatten(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.",
"name": "flatten0",... | 2 | stack_v2_sparse_classes_30k_train_005124 | Implement the Python class `Ex114` described below.
Class description:
Implement the Ex114 class.
Method signatures and docstrings:
- def flatten(self, root): :type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.
- def flatten0(self, root): :type root: TreeNode :rtype: void Do not re... | Implement the Python class `Ex114` described below.
Class description:
Implement the Ex114 class.
Method signatures and docstrings:
- def flatten(self, root): :type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.
- def flatten0(self, root): :type root: TreeNode :rtype: void Do not re... | 8f9327a1879949f61b462cc6c82e00e7c27b8b07 | <|skeleton|>
class Ex114:
def flatten(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
<|body_0|>
def flatten0(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Ex114:
def flatten(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
from collections import deque
stack = deque()
if root == None:
return
stack.appendleft(root)
prev = None
while len(s... | the_stack_v2_python_sparse | LeetCode/Ex100/Ex114.py | JasonVann/CrackingCodingInterview | train | 0 | |
7a2b1549ea151dd40cdd291b77560b516a478ab2 | [
"context = {}\ntry:\n build = Build.objects.get(id=self.kwargs['pk'])\n context['build'] = build\n context['allocations'] = build.getAutoAllocations()\nexcept Build.DoesNotExist:\n context['error'] = _('No matching build found')\nreturn context",
"build = self.get_object()\nform = self.get_form()\ncon... | <|body_start_0|>
context = {}
try:
build = Build.objects.get(id=self.kwargs['pk'])
context['build'] = build
context['allocations'] = build.getAutoAllocations()
except Build.DoesNotExist:
context['error'] = _('No matching build found')
retur... | View to auto-allocate parts for a build. Follows a simple set of rules to automatically allocate StockItem objects. Ref: build.models.Build.getAutoAllocations() | BuildAutoAllocate | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuildAutoAllocate:
"""View to auto-allocate parts for a build. Follows a simple set of rules to automatically allocate StockItem objects. Ref: build.models.Build.getAutoAllocations()"""
def get_context_data(self, *args, **kwargs):
"""Get the context data for form rendering."""
... | stack_v2_sparse_classes_36k_train_021109 | 19,285 | permissive | [
{
"docstring": "Get the context data for form rendering.",
"name": "get_context_data",
"signature": "def get_context_data(self, *args, **kwargs)"
},
{
"docstring": "Handle POST request. Perform auto allocations. - If the form validation passes, perform allocations - Otherwise, the form is passed... | 2 | stack_v2_sparse_classes_30k_train_010609 | Implement the Python class `BuildAutoAllocate` described below.
Class description:
View to auto-allocate parts for a build. Follows a simple set of rules to automatically allocate StockItem objects. Ref: build.models.Build.getAutoAllocations()
Method signatures and docstrings:
- def get_context_data(self, *args, **kw... | Implement the Python class `BuildAutoAllocate` described below.
Class description:
View to auto-allocate parts for a build. Follows a simple set of rules to automatically allocate StockItem objects. Ref: build.models.Build.getAutoAllocations()
Method signatures and docstrings:
- def get_context_data(self, *args, **kw... | daab81fa2cf6f3ce1760e31d8cd94951c6dffdd2 | <|skeleton|>
class BuildAutoAllocate:
"""View to auto-allocate parts for a build. Follows a simple set of rules to automatically allocate StockItem objects. Ref: build.models.Build.getAutoAllocations()"""
def get_context_data(self, *args, **kwargs):
"""Get the context data for form rendering."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BuildAutoAllocate:
"""View to auto-allocate parts for a build. Follows a simple set of rules to automatically allocate StockItem objects. Ref: build.models.Build.getAutoAllocations()"""
def get_context_data(self, *args, **kwargs):
"""Get the context data for form rendering."""
context = {... | the_stack_v2_python_sparse | InvenTree/build/views.py | fritzlim/InvenTree | train | 1 |
4fc7a32c0888f1e407ae4a4706eaaf40051e0623 | [
"super(Transpose1dLayer, self).__init__()\nself.upsample = upsample\nreflection_pad = nn.ConstantPad1d(kernel_size // 2, value=0)\nconv1d = nn.Conv1d(in_channels, out_channels, kernel_size, stride)\nconv1d.weight.data.normal_(0.0, 0.02)\nConv1dTrans = nn.ConvTranspose1d(in_channels, out_channels, kernel_size, strid... | <|body_start_0|>
super(Transpose1dLayer, self).__init__()
self.upsample = upsample
reflection_pad = nn.ConstantPad1d(kernel_size // 2, value=0)
conv1d = nn.Conv1d(in_channels, out_channels, kernel_size, stride)
conv1d.weight.data.normal_(0.0, 0.02)
Conv1dTrans = nn.ConvTr... | Package of all 1d Convolution Transpose Layer | Transpose1dLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transpose1dLayer:
"""Package of all 1d Convolution Transpose Layer"""
def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn:
"""Initialize 1d Convolution Transpose Layer package -*-*-*Convolut... | stack_v2_sparse_classes_36k_train_021110 | 5,819 | permissive | [
{
"docstring": "Initialize 1d Convolution Transpose Layer package -*-*-*Convolution Transpose summary*-*-*- There isn't a direct back-process to convolution like deconvolution but there is a technique to retrieve most of the information back called \"Convolution Transpose\". Apply convolution with bigger kernel... | 2 | stack_v2_sparse_classes_30k_train_005065 | Implement the Python class `Transpose1dLayer` described below.
Class description:
Package of all 1d Convolution Transpose Layer
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn: Initial... | Implement the Python class `Transpose1dLayer` described below.
Class description:
Package of all 1d Convolution Transpose Layer
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn: Initial... | 4eea5339c8ad0aae2861b8f7cc8ea88bdd0852ed | <|skeleton|>
class Transpose1dLayer:
"""Package of all 1d Convolution Transpose Layer"""
def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn:
"""Initialize 1d Convolution Transpose Layer package -*-*-*Convolut... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Transpose1dLayer:
"""Package of all 1d Convolution Transpose Layer"""
def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn:
"""Initialize 1d Convolution Transpose Layer package -*-*-*Convolution Transpose... | the_stack_v2_python_sparse | not_functional/models/architectures/layers/BaseLayers.py | develooper1994/MasterThesis | train | 6 |
cfab4dcf97b6ad5348e377afc949bae31032f067 | [
"serial = ''\nqueue = [[root], []]\nwhile queue[0]:\n curNode = queue[0].pop(0)\n if curNode:\n serial += ',' + str(curNode.val)\n queue[1].append(curNode.left)\n queue[1].append(curNode.right)\n else:\n serial += ',N'\n if not queue[0]:\n queue[0], queue[1] = (queue[1... | <|body_start_0|>
serial = ''
queue = [[root], []]
while queue[0]:
curNode = queue[0].pop(0)
if curNode:
serial += ',' + str(curNode.val)
queue[1].append(curNode.left)
queue[1].append(curNode.right)
else:
... | 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_021111 | 1,903 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 0404bcce27ff363430e6ab71dbc27a69055fd261 | <|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"""
serial = ''
queue = [[root], []]
while queue[0]:
curNode = queue[0].pop(0)
if curNode:
serial += ',' + str(curNode.val)
... | the_stack_v2_python_sparse | Hard/297. Serialize and Deserialize Binary Tree.py | MinecraftDawn/LeetCode | train | 1 | |
7b6546addc3fa72622ee9428c98836d67dec6192 | [
"self.module_name = module_name\nself.replace_regexp1 = re.compile('([ \"])CSharp_Firebase(?:(?:f[A-Za-z]+_)|_)([^\"(]*)')\nself.replace_regexp2 = re.compile('([ \"])CSharp_([^\"(]*)')",
"file_str = file_str.replace('___(', '(').replace('___\"', '\"')\nfile_str = self.replace_regexp1.sub('\\\\g<1>%s_CSharp_\\\\g<... | <|body_start_0|>
self.module_name = module_name
self.replace_regexp1 = re.compile('([ "])CSharp_Firebase(?:(?:f[A-Za-z]+_)|_)([^"(]*)')
self.replace_regexp2 = re.compile('([ "])CSharp_([^"(]*)')
<|end_body_0|>
<|body_start_1|>
file_str = file_str.replace('___(', '(').replace('___"', '"'... | Add a module namespace prefix to all generated C methods. | NamespaceCMethodsCMake | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NamespaceCMethodsCMake:
"""Add a module namespace prefix to all generated C methods."""
def __init__(self, module_name):
"""Initialize the instance. Args: module_name: Name of the module to use as a prefix for C methods."""
<|body_0|>
def __call__(self, file_str, filenam... | stack_v2_sparse_classes_36k_train_021112 | 6,554 | permissive | [
{
"docstring": "Initialize the instance. Args: module_name: Name of the module to use as a prefix for C methods.",
"name": "__init__",
"signature": "def __init__(self, module_name)"
},
{
"docstring": "Add a prefix to all generated C methods statements. Args: file_str: This is a string containing... | 2 | null | Implement the Python class `NamespaceCMethodsCMake` described below.
Class description:
Add a module namespace prefix to all generated C methods.
Method signatures and docstrings:
- def __init__(self, module_name): Initialize the instance. Args: module_name: Name of the module to use as a prefix for C methods.
- def ... | Implement the Python class `NamespaceCMethodsCMake` described below.
Class description:
Add a module namespace prefix to all generated C methods.
Method signatures and docstrings:
- def __init__(self, module_name): Initialize the instance. Args: module_name: Name of the module to use as a prefix for C methods.
- def ... | 2cb4b45dd14a230aa0e800042e893f8dfb23beda | <|skeleton|>
class NamespaceCMethodsCMake:
"""Add a module namespace prefix to all generated C methods."""
def __init__(self, module_name):
"""Initialize the instance. Args: module_name: Name of the module to use as a prefix for C methods."""
<|body_0|>
def __call__(self, file_str, filenam... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NamespaceCMethodsCMake:
"""Add a module namespace prefix to all generated C methods."""
def __init__(self, module_name):
"""Initialize the instance. Args: module_name: Name of the module to use as a prefix for C methods."""
self.module_name = module_name
self.replace_regexp1 = re.... | the_stack_v2_python_sparse | MY_REPOS/misc-experiments/_FIREBFIRE/firebase-unity-sdk/cmake/swig_fix.py | bgoonz/UsefulResourceRepo2.0 | train | 10 |
97e3699f4ccc576e52f2e1ae6ae4eef9cf766817 | [
"if not isinstance(username, str):\n raise TypeError('Expected username to be of type str.')\nif not isinstance(password, str):\n raise TypeError('Expected password to be of type str.')\nif not isinstance(firstName, str):\n raise TypeError('Expected firstName to be of type str.')\nif not isinstance(lastNam... | <|body_start_0|>
if not isinstance(username, str):
raise TypeError('Expected username to be of type str.')
if not isinstance(password, str):
raise TypeError('Expected password to be of type str.')
if not isinstance(firstName, str):
raise TypeError('Expected fi... | A class that allows interaction with users and their information Attributes ---------- username : str The user's login username password : str The user's password firstName : str The user's first name lastName : str The user's last name email : str The user's email address courseIDs : list of str A list of IDs of the c... | User | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class User:
"""A class that allows interaction with users and their information Attributes ---------- username : str The user's login username password : str The user's password firstName : str The user's first name lastName : str The user's last name email : str The user's email address courseIDs : li... | stack_v2_sparse_classes_36k_train_021113 | 3,781 | no_license | [
{
"docstring": "Constructor to build a User object If this object is not being loaded from the database, a unique ID will be generated automatically. Parameters ---------- username : str The user's login username password : str The user's password firstName : str The user's first name lastName : str The user's ... | 2 | stack_v2_sparse_classes_30k_train_019972 | Implement the Python class `User` described below.
Class description:
A class that allows interaction with users and their information Attributes ---------- username : str The user's login username password : str The user's password firstName : str The user's first name lastName : str The user's last name email : str ... | Implement the Python class `User` described below.
Class description:
A class that allows interaction with users and their information Attributes ---------- username : str The user's login username password : str The user's password firstName : str The user's first name lastName : str The user's last name email : str ... | 4454d9c23db9f0f4b43d5cbee7a5365050947b8f | <|skeleton|>
class User:
"""A class that allows interaction with users and their information Attributes ---------- username : str The user's login username password : str The user's password firstName : str The user's first name lastName : str The user's last name email : str The user's email address courseIDs : li... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class User:
"""A class that allows interaction with users and their information Attributes ---------- username : str The user's login username password : str The user's password firstName : str The user's first name lastName : str The user's last name email : str The user's email address courseIDs : list of str A l... | the_stack_v2_python_sparse | teacherportal/utils/user.py | ArjunRathaur/SAPAMS | train | 0 |
dce69a502b7ba635b7f1ce3554d89c7c59c7fa41 | [
"super().__init__()\nself.onaxis_rf_phase = 0\nself.offaxis_rf_phase = 0\nself.offaxis_weight = 1\nself.onaxis_weight = 1\nself.wait_between_injections = 1\nself.onaxis_nrpulses = 5\nself.offaxis_nrpulses = 20\nself.offaxis_inj_with_dpkckr = False\nself.offaxis_dpkckr_strength = -3.5\nself.use_median = False\nself.... | <|body_start_0|>
super().__init__()
self.onaxis_rf_phase = 0
self.offaxis_rf_phase = 0
self.offaxis_weight = 1
self.onaxis_weight = 1
self.wait_between_injections = 1
self.onaxis_nrpulses = 5
self.offaxis_nrpulses = 20
self.offaxis_inj_with_dpkckr ... | . | OptimizeDAParams | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptimizeDAParams:
"""."""
def __init__(self):
"""."""
<|body_0|>
def __str__(self):
"""."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().__init__()
self.onaxis_rf_phase = 0
self.offaxis_rf_phase = 0
self.offaxis_w... | stack_v2_sparse_classes_36k_train_021114 | 25,073 | permissive | [
{
"docstring": ".",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ".",
"name": "__str__",
"signature": "def __str__(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009832 | Implement the Python class `OptimizeDAParams` described below.
Class description:
.
Method signatures and docstrings:
- def __init__(self): .
- def __str__(self): . | Implement the Python class `OptimizeDAParams` described below.
Class description:
.
Method signatures and docstrings:
- def __init__(self): .
- def __str__(self): .
<|skeleton|>
class OptimizeDAParams:
"""."""
def __init__(self):
"""."""
<|body_0|>
def __str__(self):
"""."""
... | 39644161d98964a3a3d80d63269201f0a1712e82 | <|skeleton|>
class OptimizeDAParams:
"""."""
def __init__(self):
"""."""
<|body_0|>
def __str__(self):
"""."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OptimizeDAParams:
"""."""
def __init__(self):
"""."""
super().__init__()
self.onaxis_rf_phase = 0
self.offaxis_rf_phase = 0
self.offaxis_weight = 1
self.onaxis_weight = 1
self.wait_between_injections = 1
self.onaxis_nrpulses = 5
self... | the_stack_v2_python_sparse | apsuite/commisslib/dynap_opt_rcds.py | lnls-fac/apsuite | train | 1 |
f366cd71bc7b3b0c4fe8f2d92ceda8f59e98d36d | [
"op = '$pull' if unfollow else '$push'\nself.client.Users.users.update_one({'user_id': user_id1}, {op: {'following': user_id2}})\nself.client.Users.users.update_one({'user_id': user_id2}, {op: {'followers': user_id1}})\ni = -1 if unfollow else 1\nself.client.User.users.update_one({'user_id': user_id2}, {'$inc': {'f... | <|body_start_0|>
op = '$pull' if unfollow else '$push'
self.client.Users.users.update_one({'user_id': user_id1}, {op: {'following': user_id2}})
self.client.Users.users.update_one({'user_id': user_id2}, {op: {'followers': user_id1}})
i = -1 if unfollow else 1
self.client.User.user... | SocialFeatures | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SocialFeatures:
def follow_user(self, user_id1, user_id2, unfollow=False):
"""user 1 follows or unfollows user 2"""
<|body_0|>
def fetch_social(self, user_id, followers=False, following=False, counts=True, reposted=False):
"""gets user social information"""
<... | stack_v2_sparse_classes_36k_train_021115 | 2,436 | no_license | [
{
"docstring": "user 1 follows or unfollows user 2",
"name": "follow_user",
"signature": "def follow_user(self, user_id1, user_id2, unfollow=False)"
},
{
"docstring": "gets user social information",
"name": "fetch_social",
"signature": "def fetch_social(self, user_id, followers=False, fo... | 3 | stack_v2_sparse_classes_30k_test_001101 | Implement the Python class `SocialFeatures` described below.
Class description:
Implement the SocialFeatures class.
Method signatures and docstrings:
- def follow_user(self, user_id1, user_id2, unfollow=False): user 1 follows or unfollows user 2
- def fetch_social(self, user_id, followers=False, following=False, coun... | Implement the Python class `SocialFeatures` described below.
Class description:
Implement the SocialFeatures class.
Method signatures and docstrings:
- def follow_user(self, user_id1, user_id2, unfollow=False): user 1 follows or unfollows user 2
- def fetch_social(self, user_id, followers=False, following=False, coun... | 134dbf1712a720815978149e7803caa0df206f7a | <|skeleton|>
class SocialFeatures:
def follow_user(self, user_id1, user_id2, unfollow=False):
"""user 1 follows or unfollows user 2"""
<|body_0|>
def fetch_social(self, user_id, followers=False, following=False, counts=True, reposted=False):
"""gets user social information"""
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SocialFeatures:
def follow_user(self, user_id1, user_id2, unfollow=False):
"""user 1 follows or unfollows user 2"""
op = '$pull' if unfollow else '$push'
self.client.Users.users.update_one({'user_id': user_id1}, {op: {'following': user_id2}})
self.client.Users.users.update_one(... | the_stack_v2_python_sparse | utils/social_features.py | ThreadNews/threadnews-backend | train | 0 | |
038a932f3f7c9c167dba128def9a9a1f7f291cfe | [
"EasyFrame.__init__(self, title='Color Meter')\nself.rgbLabel = self.addLabel(text='RGB : x000000', row=0, column=0)\nself.canvas = self.addCanvas(row=1, column=0)\nself.canvas['bg'] = 'black'\nself.redScale = self.addScale(label='Red', row=0, column=1, orient=VERTICAL, from_=0, to=255, length=300, tickinterval=15,... | <|body_start_0|>
EasyFrame.__init__(self, title='Color Meter')
self.rgbLabel = self.addLabel(text='RGB : x000000', row=0, column=0)
self.canvas = self.addCanvas(row=1, column=0)
self.canvas['bg'] = 'black'
self.redScale = self.addScale(label='Red', row=0, column=1, orient=VERTICA... | ColorMeter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ColorMeter:
def __init__(self):
"""Sets up the window and widgets."""
<|body_0|>
def setColor(self, value):
"""Gets the RGB values from the scales, converts them to hex, and builds a six-digit hex string to update the view."""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_36k_train_021116 | 2,667 | no_license | [
{
"docstring": "Sets up the window and widgets.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Gets the RGB values from the scales, converts them to hex, and builds a six-digit hex string to update the view.",
"name": "setColor",
"signature": "def setColor(sel... | 2 | stack_v2_sparse_classes_30k_train_015462 | Implement the Python class `ColorMeter` described below.
Class description:
Implement the ColorMeter class.
Method signatures and docstrings:
- def __init__(self): Sets up the window and widgets.
- def setColor(self, value): Gets the RGB values from the scales, converts them to hex, and builds a six-digit hex string ... | Implement the Python class `ColorMeter` described below.
Class description:
Implement the ColorMeter class.
Method signatures and docstrings:
- def __init__(self): Sets up the window and widgets.
- def setColor(self, value): Gets the RGB values from the scales, converts them to hex, and builds a six-digit hex string ... | eca69d000dc77681a30734b073b2383c97ccc02e | <|skeleton|>
class ColorMeter:
def __init__(self):
"""Sets up the window and widgets."""
<|body_0|>
def setColor(self, value):
"""Gets the RGB values from the scales, converts them to hex, and builds a six-digit hex string to update the view."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ColorMeter:
def __init__(self):
"""Sets up the window and widgets."""
EasyFrame.__init__(self, title='Color Meter')
self.rgbLabel = self.addLabel(text='RGB : x000000', row=0, column=0)
self.canvas = self.addCanvas(row=1, column=0)
self.canvas['bg'] = 'black'
sel... | the_stack_v2_python_sparse | gui/breezy/scaledemo2.py | lforet/robomow | train | 11 | |
c1d0e671dd72a56db50f4e33db7de11780c036ff | [
"self.capacity = capacity\nself.dict = {}\nself.linkList = dLink()",
"if key in self.dict:\n self.linkList.remove(self.dict[key])\n self.linkList.insert(self.dict[key])\n return self.dict[key].val\nelse:\n return -1",
"if key in self.dict:\n self.dict[key].val = value\n self.get(key)\nelif len... | <|body_start_0|>
self.capacity = capacity
self.dict = {}
self.linkList = dLink()
<|end_body_0|>
<|body_start_1|>
if key in self.dict:
self.linkList.remove(self.dict[key])
self.linkList.insert(self.dict[key])
return self.dict[key].val
else:
... | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":rtype: int"""
<|body_1|>
def set(self, key, value):
""":type key: int :type value: int :rtype: nothing"""
<|body_2|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_36k_train_021117 | 1,659 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: nothing",
"name": "set",
"sig... | 3 | null | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: int
- def set(self, key, value): :type key: int :type value: int :rtype: nothing | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: int
- def set(self, key, value): :type key: int :type value: int :rtype: nothing
<|skeleton|>
cla... | f028e96c17c3ca9788c72368e3593b35eb9fba48 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":rtype: int"""
<|body_1|>
def set(self, key, value):
""":type key: int :type value: int :rtype: nothing"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.dict = {}
self.linkList = dLink()
def get(self, key):
""":rtype: int"""
if key in self.dict:
self.linkList.remove(self.dict[key])
self.li... | the_stack_v2_python_sparse | 146_LRU_Cache.py | uniericuni/leetcode | train | 3 | |
948465607d5d900b53e50bf6d6c5af150c9f8456 | [
"super(ContinuousGenerator, self).__init__()\nself.design_shape = design_shape\nself.latent_size = latent_size\nself.embed_0 = tfkl.Dense(hidden)\nself.embed_0.build((None, 1))\nself.dense_0 = tfkl.Dense(hidden)\nself.dense_0.build((None, latent_size + hidden))\nself.ln_0 = tfkl.LayerNormalization()\nself.ln_0.buil... | <|body_start_0|>
super(ContinuousGenerator, self).__init__()
self.design_shape = design_shape
self.latent_size = latent_size
self.embed_0 = tfkl.Dense(hidden)
self.embed_0.build((None, 1))
self.dense_0 = tfkl.Dense(hidden)
self.dense_0.build((None, latent_size + h... | A Fully Connected Network conditioned on a score | ContinuousGenerator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContinuousGenerator:
"""A Fully Connected Network conditioned on a score"""
def __init__(self, design_shape, latent_size, hidden=50):
"""Create a fully connected architecture using keras that can process several parallel streams of weights and biases Args: design_shape: List[int] a l... | stack_v2_sparse_classes_36k_train_021118 | 30,757 | permissive | [
{
"docstring": "Create a fully connected architecture using keras that can process several parallel streams of weights and biases Args: design_shape: List[int] a list of tuple of integers that represents the shape of a single design for a particular task latent_size: int the number of hidden units in the latent... | 2 | stack_v2_sparse_classes_30k_train_010486 | Implement the Python class `ContinuousGenerator` described below.
Class description:
A Fully Connected Network conditioned on a score
Method signatures and docstrings:
- def __init__(self, design_shape, latent_size, hidden=50): Create a fully connected architecture using keras that can process several parallel stream... | Implement the Python class `ContinuousGenerator` described below.
Class description:
A Fully Connected Network conditioned on a score
Method signatures and docstrings:
- def __init__(self, design_shape, latent_size, hidden=50): Create a fully connected architecture using keras that can process several parallel stream... | d46ff40d8b665953afb64a3332ddf1953b8a0766 | <|skeleton|>
class ContinuousGenerator:
"""A Fully Connected Network conditioned on a score"""
def __init__(self, design_shape, latent_size, hidden=50):
"""Create a fully connected architecture using keras that can process several parallel streams of weights and biases Args: design_shape: List[int] a l... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ContinuousGenerator:
"""A Fully Connected Network conditioned on a score"""
def __init__(self, design_shape, latent_size, hidden=50):
"""Create a fully connected architecture using keras that can process several parallel streams of weights and biases Args: design_shape: List[int] a list of tuple ... | the_stack_v2_python_sparse | design_baselines/mins/nets.py | stjordanis/design-baselines | train | 0 |
3e622629281ddb90510416a664bdbcc3170747ce | [
"if CONFIG.get('feb14_debug_begin', False):\n return True\nreturn datetime.today().strftime('%m-%d') == '02-14'",
"if CONFIG.get('feb14_debug_end', False):\n return True\nreturn datetime.today().strftime('%m-%d') == '02-15'"
] | <|body_start_0|>
if CONFIG.get('feb14_debug_begin', False):
return True
return datetime.today().strftime('%m-%d') == '02-14'
<|end_body_0|>
<|body_start_1|>
if CONFIG.get('feb14_debug_end', False):
return True
return datetime.today().strftime('%m-%d') == '02-15'
... | DateChecker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DateChecker:
def is_day_active() -> bool:
"""Сегодня 14-е фев?"""
<|body_0|>
def is_today_ending() -> bool:
"""Сегодня 15-е фев?"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if CONFIG.get('feb14_debug_begin', False):
return True
... | stack_v2_sparse_classes_36k_train_021119 | 46,228 | permissive | [
{
"docstring": "Сегодня 14-е фев?",
"name": "is_day_active",
"signature": "def is_day_active() -> bool"
},
{
"docstring": "Сегодня 15-е фев?",
"name": "is_today_ending",
"signature": "def is_today_ending() -> bool"
}
] | 2 | null | Implement the Python class `DateChecker` described below.
Class description:
Implement the DateChecker class.
Method signatures and docstrings:
- def is_day_active() -> bool: Сегодня 14-е фев?
- def is_today_ending() -> bool: Сегодня 15-е фев? | Implement the Python class `DateChecker` described below.
Class description:
Implement the DateChecker class.
Method signatures and docstrings:
- def is_day_active() -> bool: Сегодня 14-е фев?
- def is_today_ending() -> bool: Сегодня 15-е фев?
<|skeleton|>
class DateChecker:
def is_day_active() -> bool:
... | d38bd793636fa30e609b148b71b2d7c8047570e3 | <|skeleton|>
class DateChecker:
def is_day_active() -> bool:
"""Сегодня 14-е фев?"""
<|body_0|>
def is_today_ending() -> bool:
"""Сегодня 15-е фев?"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DateChecker:
def is_day_active() -> bool:
"""Сегодня 14-е фев?"""
if CONFIG.get('feb14_debug_begin', False):
return True
return datetime.today().strftime('%m-%d') == '02-14'
def is_today_ending() -> bool:
"""Сегодня 15-е фев?"""
if CONFIG.get('feb14_deb... | the_stack_v2_python_sparse | src/dayof/valentine_day_old.py | pongo/rapturebot | train | 11 | |
ae3019448dfa736f92c19dfb7aa45a343b497dd8 | [
"num = 0\ni = 0\nwhile i < len(A):\n j = i\n temp = 0\n for k in range(j, len(A)):\n temp += A[k]\n if temp == S:\n num += 1\n elif temp > S:\n break\n i += 1\nreturn num",
"indexes = [-1] + [ix for ix, v in enumerate(A) if v] + [len(A)]\nans = 0\nif S == 0:\... | <|body_start_0|>
num = 0
i = 0
while i < len(A):
j = i
temp = 0
for k in range(j, len(A)):
temp += A[k]
if temp == S:
num += 1
elif temp > S:
break
i += 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSubarraysWithSum(self, A, S):
""":type A: List[int] :type S: int :rtype: int"""
<|body_0|>
def numSubarraysWithSum1(self, A, S):
"""Approach 1: Index of Ones"""
<|body_1|>
def numSubarraysWithSum2(self, A, S):
"""Approach 2: Pref... | stack_v2_sparse_classes_36k_train_021120 | 1,998 | no_license | [
{
"docstring": ":type A: List[int] :type S: int :rtype: int",
"name": "numSubarraysWithSum",
"signature": "def numSubarraysWithSum(self, A, S)"
},
{
"docstring": "Approach 1: Index of Ones",
"name": "numSubarraysWithSum1",
"signature": "def numSubarraysWithSum1(self, A, S)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_016442 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSubarraysWithSum(self, A, S): :type A: List[int] :type S: int :rtype: int
- def numSubarraysWithSum1(self, A, S): Approach 1: Index of Ones
- def numSubarraysWithSum2(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSubarraysWithSum(self, A, S): :type A: List[int] :type S: int :rtype: int
- def numSubarraysWithSum1(self, A, S): Approach 1: Index of Ones
- def numSubarraysWithSum2(self... | 5674024fd179120134ab0588e499a5bace2469e2 | <|skeleton|>
class Solution:
def numSubarraysWithSum(self, A, S):
""":type A: List[int] :type S: int :rtype: int"""
<|body_0|>
def numSubarraysWithSum1(self, A, S):
"""Approach 1: Index of Ones"""
<|body_1|>
def numSubarraysWithSum2(self, A, S):
"""Approach 2: Pref... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numSubarraysWithSum(self, A, S):
""":type A: List[int] :type S: int :rtype: int"""
num = 0
i = 0
while i < len(A):
j = i
temp = 0
for k in range(j, len(A)):
temp += A[k]
if temp == S:
... | the_stack_v2_python_sparse | leetcode solution in python/BinarySubarraysWithSum.py | shengchaohua/leetcode-solution | train | 3 | |
a6cea7e675be3f3d9101ed90cedaaeafa95c4616 | [
"array_rgb = array[:, :, :3]\ninverted_array = array_rgb.copy()\nif array.dtype == np.float32 or array.dtype == np.float64:\n inverted_array = 1.0 - inverted_array\nelse:\n inverted_array = 255 - inverted_array\nreturn inverted_array",
"blue_filtered_array = array.copy()\nblue_filtered_array[:, :, 0] = 0\nb... | <|body_start_0|>
array_rgb = array[:, :, :3]
inverted_array = array_rgb.copy()
if array.dtype == np.float32 or array.dtype == np.float64:
inverted_array = 1.0 - inverted_array
else:
inverted_array = 255 - inverted_array
return inverted_array
<|end_body_0|>... | ColorFilter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ColorFilter:
def invert(self, array):
"""Invert the color of the image"""
<|body_0|>
def to_blue(self, array):
"""Applies a blue filter to the image"""
<|body_1|>
def to_green(self, array):
"""Applies a green filter to the image"""
<|body... | stack_v2_sparse_classes_36k_train_021121 | 2,495 | no_license | [
{
"docstring": "Invert the color of the image",
"name": "invert",
"signature": "def invert(self, array)"
},
{
"docstring": "Applies a blue filter to the image",
"name": "to_blue",
"signature": "def to_blue(self, array)"
},
{
"docstring": "Applies a green filter to the image",
... | 6 | stack_v2_sparse_classes_30k_train_010066 | Implement the Python class `ColorFilter` described below.
Class description:
Implement the ColorFilter class.
Method signatures and docstrings:
- def invert(self, array): Invert the color of the image
- def to_blue(self, array): Applies a blue filter to the image
- def to_green(self, array): Applies a green filter to... | Implement the Python class `ColorFilter` described below.
Class description:
Implement the ColorFilter class.
Method signatures and docstrings:
- def invert(self, array): Invert the color of the image
- def to_blue(self, array): Applies a blue filter to the image
- def to_green(self, array): Applies a green filter to... | 24358cc6807d86fe5da766bb4505eef29f1e371f | <|skeleton|>
class ColorFilter:
def invert(self, array):
"""Invert the color of the image"""
<|body_0|>
def to_blue(self, array):
"""Applies a blue filter to the image"""
<|body_1|>
def to_green(self, array):
"""Applies a green filter to the image"""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ColorFilter:
def invert(self, array):
"""Invert the color of the image"""
array_rgb = array[:, :, :3]
inverted_array = array_rgb.copy()
if array.dtype == np.float32 or array.dtype == np.float64:
inverted_array = 1.0 - inverted_array
else:
inverte... | the_stack_v2_python_sparse | day03/ex03/ColorFilter.py | Ghilphar/bootcamp_python | train | 0 | |
3223746aa253a2d804635722c639005a0aedba22 | [
"super(Network, self).__init__()\nself.feature = NoisyLinear(in_dim[0], 128)\nself.noisy_layer1 = NoisyLinear(128, 128)\nself.noisy_layer2 = NoisyLinear(128, out_dim)",
"feature = F.relu(self.feature(x))\nhidden = F.relu(self.noisy_layer1(feature))\nout = self.noisy_layer2(hidden)\nreturn out",
"self.feature.re... | <|body_start_0|>
super(Network, self).__init__()
self.feature = NoisyLinear(in_dim[0], 128)
self.noisy_layer1 = NoisyLinear(128, 128)
self.noisy_layer2 = NoisyLinear(128, out_dim)
<|end_body_0|>
<|body_start_1|>
feature = F.relu(self.feature(x))
hidden = F.relu(self.nois... | Network | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Network:
def __init__(self, in_dim: int, out_dim: int):
"""Initialization."""
<|body_0|>
def forward(self, x: torch.Tensor, dueling: bool) -> torch.Tensor:
"""Forward method implementation."""
<|body_1|>
def reset_noise(self):
"""Reset all noisy ... | stack_v2_sparse_classes_36k_train_021122 | 16,237 | permissive | [
{
"docstring": "Initialization.",
"name": "__init__",
"signature": "def __init__(self, in_dim: int, out_dim: int)"
},
{
"docstring": "Forward method implementation.",
"name": "forward",
"signature": "def forward(self, x: torch.Tensor, dueling: bool) -> torch.Tensor"
},
{
"docstri... | 3 | stack_v2_sparse_classes_30k_train_006986 | Implement the Python class `Network` described below.
Class description:
Implement the Network class.
Method signatures and docstrings:
- def __init__(self, in_dim: int, out_dim: int): Initialization.
- def forward(self, x: torch.Tensor, dueling: bool) -> torch.Tensor: Forward method implementation.
- def reset_noise... | Implement the Python class `Network` described below.
Class description:
Implement the Network class.
Method signatures and docstrings:
- def __init__(self, in_dim: int, out_dim: int): Initialization.
- def forward(self, x: torch.Tensor, dueling: bool) -> torch.Tensor: Forward method implementation.
- def reset_noise... | 027decb59ce97cc7c9d86aba3af9e21b390e4286 | <|skeleton|>
class Network:
def __init__(self, in_dim: int, out_dim: int):
"""Initialization."""
<|body_0|>
def forward(self, x: torch.Tensor, dueling: bool) -> torch.Tensor:
"""Forward method implementation."""
<|body_1|>
def reset_noise(self):
"""Reset all noisy ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Network:
def __init__(self, in_dim: int, out_dim: int):
"""Initialization."""
super(Network, self).__init__()
self.feature = NoisyLinear(in_dim[0], 128)
self.noisy_layer1 = NoisyLinear(128, 128)
self.noisy_layer2 = NoisyLinear(128, out_dim)
def forward(self, x: tor... | the_stack_v2_python_sparse | CybORG/CybORG/Agents/MyDQNAgent/nerual_network.py | yyzpiero/AutomaticCyberOperations | train | 0 | |
a01d92f4447e93f3e9fc2a213ef0a58625acb16d | [
"mock_boto_client.return_value = botocore.client.BaseClient()\nbuffer = BytesIO()\nx = np.array(['this on returned', 2, 3])\nnp.save(buffer, x)\nbody = StreamingBody(BytesIO(buffer.getvalue()), len(buffer.getvalue()))\nmock_invoke_endpoint.return_value.invoke_endpoint.return_value = {'Body': body, 'ContentType': 'a... | <|body_start_0|>
mock_boto_client.return_value = botocore.client.BaseClient()
buffer = BytesIO()
x = np.array(['this on returned', 2, 3])
np.save(buffer, x)
body = StreamingBody(BytesIO(buffer.getvalue()), len(buffer.getvalue()))
mock_invoke_endpoint.return_value.invoke_e... | RunController integration test stubs | TestRunController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRunController:
"""RunController integration test stubs"""
def test_prediction(self, mock_boto_client, mock_invoke_endpoint):
"""Test case for prediction Call Prediction of specified deployment"""
<|body_0|>
def test_prediction_no_endpoint_in_target(self, mock_boto_cl... | stack_v2_sparse_classes_36k_train_021123 | 6,978 | permissive | [
{
"docstring": "Test case for prediction Call Prediction of specified deployment",
"name": "test_prediction",
"signature": "def test_prediction(self, mock_boto_client, mock_invoke_endpoint)"
},
{
"docstring": "Test case for prediction Call Prediction of specified deployment",
"name": "test_p... | 5 | null | Implement the Python class `TestRunController` described below.
Class description:
RunController integration test stubs
Method signatures and docstrings:
- def test_prediction(self, mock_boto_client, mock_invoke_endpoint): Test case for prediction Call Prediction of specified deployment
- def test_prediction_no_endpo... | Implement the Python class `TestRunController` described below.
Class description:
RunController integration test stubs
Method signatures and docstrings:
- def test_prediction(self, mock_boto_client, mock_invoke_endpoint): Test case for prediction Call Prediction of specified deployment
- def test_prediction_no_endpo... | 8b7db98f46a81b731d0dddfde8e3fb6f91ebc71a | <|skeleton|>
class TestRunController:
"""RunController integration test stubs"""
def test_prediction(self, mock_boto_client, mock_invoke_endpoint):
"""Test case for prediction Call Prediction of specified deployment"""
<|body_0|>
def test_prediction_no_endpoint_in_target(self, mock_boto_cl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestRunController:
"""RunController integration test stubs"""
def test_prediction(self, mock_boto_client, mock_invoke_endpoint):
"""Test case for prediction Call Prediction of specified deployment"""
mock_boto_client.return_value = botocore.client.BaseClient()
buffer = BytesIO()
... | the_stack_v2_python_sparse | ops-implementations/sagemaker-service/swagger_server/test_mocked/test_run_controller.py | Rdecoster/open-prediction-service-hub | train | 0 |
f101875066c096b460f981be01afc2809106023a | [
"data = np.asarray(data)\ninit = [[1, data[0]], [0, data[1] - data[0]]]\nengram = np.array(init, dtype=data.dtype)\nnew_row = np.zeros(2, dtype=data.dtype)\nd = np.diff(data)\nfor i in xrange(d.size):\n if d[i] != engram[-1, 1]:\n engram = np.vstack((engram, new_row))\n engram[-1, 1] = d[i]\n en... | <|body_start_0|>
data = np.asarray(data)
init = [[1, data[0]], [0, data[1] - data[0]]]
engram = np.array(init, dtype=data.dtype)
new_row = np.zeros(2, dtype=data.dtype)
d = np.diff(data)
for i in xrange(d.size):
if d[i] != engram[-1, 1]:
engram... | Simple encode/decode based on delta compression for 1D arrays | DeltaCompress | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeltaCompress:
"""Simple encode/decode based on delta compression for 1D arrays"""
def encode(self, data):
"""Compress 1D data array into a delta matrix"""
<|body_0|>
def decode(self, engram):
"""Extract original 1D data array from a delta matrix"""
<|bod... | stack_v2_sparse_classes_36k_train_021124 | 1,355 | permissive | [
{
"docstring": "Compress 1D data array into a delta matrix",
"name": "encode",
"signature": "def encode(self, data)"
},
{
"docstring": "Extract original 1D data array from a delta matrix",
"name": "decode",
"signature": "def decode(self, engram)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003562 | Implement the Python class `DeltaCompress` described below.
Class description:
Simple encode/decode based on delta compression for 1D arrays
Method signatures and docstrings:
- def encode(self, data): Compress 1D data array into a delta matrix
- def decode(self, engram): Extract original 1D data array from a delta ma... | Implement the Python class `DeltaCompress` described below.
Class description:
Simple encode/decode based on delta compression for 1D arrays
Method signatures and docstrings:
- def encode(self, data): Compress 1D data array into a delta matrix
- def decode(self, engram): Extract original 1D data array from a delta ma... | 4c69ccd1f635c440f1ebe85328efd1db5bce6957 | <|skeleton|>
class DeltaCompress:
"""Simple encode/decode based on delta compression for 1D arrays"""
def encode(self, data):
"""Compress 1D data array into a delta matrix"""
<|body_0|>
def decode(self, engram):
"""Extract original 1D data array from a delta matrix"""
<|bod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeltaCompress:
"""Simple encode/decode based on delta compression for 1D arrays"""
def encode(self, data):
"""Compress 1D data array into a delta matrix"""
data = np.asarray(data)
init = [[1, data[0]], [0, data[1] - data[0]]]
engram = np.array(init, dtype=data.dtype)
... | the_stack_v2_python_sparse | scanr/tools/compress.py | jdmonaco/scanning-paper | train | 0 |
d443527bada8adc6a4169dab68e87850448217a0 | [
"super(RMSModel, self).__init__()\nself.el = np.array(model_spec.keys())\nself.rms = np.array(model_spec.values())\nself.alpha, self.beta = fit_power_law(self.el, self.rms)",
"if el < 0:\n raise RuntimeError('el = {} < 0'.format(el))\nelif el > 90:\n raise RuntimeError('el = {} > 90'.format(el))\nif 0 <= el... | <|body_start_0|>
super(RMSModel, self).__init__()
self.el = np.array(model_spec.keys())
self.rms = np.array(model_spec.values())
self.alpha, self.beta = fit_power_law(self.el, self.rms)
<|end_body_0|>
<|body_start_1|>
if el < 0:
raise RuntimeError('el = {} < 0'.forma... | RMSModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RMSModel:
def __init__(self, model_spec=SNR_8):
"""???"""
<|body_0|>
def __call__(self, el):
"""??? note that el is in [deg]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(RMSModel, self).__init__()
self.el = np.array(model_spec.keys(... | stack_v2_sparse_classes_36k_train_021125 | 2,471 | permissive | [
{
"docstring": "???",
"name": "__init__",
"signature": "def __init__(self, model_spec=SNR_8)"
},
{
"docstring": "??? note that el is in [deg]",
"name": "__call__",
"signature": "def __call__(self, el)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006343 | Implement the Python class `RMSModel` described below.
Class description:
Implement the RMSModel class.
Method signatures and docstrings:
- def __init__(self, model_spec=SNR_8): ???
- def __call__(self, el): ??? note that el is in [deg] | Implement the Python class `RMSModel` described below.
Class description:
Implement the RMSModel class.
Method signatures and docstrings:
- def __init__(self, model_spec=SNR_8): ???
- def __call__(self, el): ??? note that el is in [deg]
<|skeleton|>
class RMSModel:
def __init__(self, model_spec=SNR_8):
... | e364be68cb0cadbeea10ca569963b8f99aa7b05b | <|skeleton|>
class RMSModel:
def __init__(self, model_spec=SNR_8):
"""???"""
<|body_0|>
def __call__(self, el):
"""??? note that el is in [deg]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RMSModel:
def __init__(self, model_spec=SNR_8):
"""???"""
super(RMSModel, self).__init__()
self.el = np.array(model_spec.keys())
self.rms = np.array(model_spec.values())
self.alpha, self.beta = fit_power_law(self.el, self.rms)
def __call__(self, el):
"""???... | the_stack_v2_python_sparse | pyrsss/gnss/rms_model.py | butala/pyrsss | train | 7 | |
953ecfda3700e263db7848b60f962c0369921a2c | [
"if type(N) is not int:\n raise TypeError('N must be int representing number of blocks in the encoder')\nif type(dm) is not int:\n raise TypeError('dm must be int representing dimensionality of model')\nif type(h) is not int:\n raise TypeError('h must be int representing number of heads')\nif type(hidden) ... | <|body_start_0|>
if type(N) is not int:
raise TypeError('N must be int representing number of blocks in the encoder')
if type(dm) is not int:
raise TypeError('dm must be int representing dimensionality of model')
if type(h) is not int:
raise TypeError('h must ... | Class to create the encoder for a transformer class constructor: def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1) public instance attribute: N: the number of blocks in the encoder dm: the dimensionality of the model embedding: the embedding layer for the inputs positional_encoding [numpy.nd... | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
"""Class to create the encoder for a transformer class constructor: def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1) public instance attribute: N: the number of blocks in the encoder dm: the dimensionality of the model embedding: the embedding layer for the i... | stack_v2_sparse_classes_36k_train_021126 | 4,656 | no_license | [
{
"docstring": "Class constructor parameters: N [int]: represents the number of blocks in the encoder dm [int]: represents the dimensionality of the model h [int]: represents the number of heads hidden [int]: represents the number of hidden units in fully connected layer input_vocab [int]: represents the size o... | 2 | null | Implement the Python class `Encoder` described below.
Class description:
Class to create the encoder for a transformer class constructor: def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1) public instance attribute: N: the number of blocks in the encoder dm: the dimensionality of the model e... | Implement the Python class `Encoder` described below.
Class description:
Class to create the encoder for a transformer class constructor: def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1) public instance attribute: N: the number of blocks in the encoder dm: the dimensionality of the model e... | 8834b201ca84937365e4dcc0fac978656cdf5293 | <|skeleton|>
class Encoder:
"""Class to create the encoder for a transformer class constructor: def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1) public instance attribute: N: the number of blocks in the encoder dm: the dimensionality of the model embedding: the embedding layer for the i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Encoder:
"""Class to create the encoder for a transformer class constructor: def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1) public instance attribute: N: the number of blocks in the encoder dm: the dimensionality of the model embedding: the embedding layer for the inputs positio... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/9-transformer_encoder.py | ejonakodra/holbertonschool-machine_learning-1 | train | 0 |
1d0cc0ae7ebfbd91c6824267f58ed5c722b7b75c | [
"LDC_Info.__init__(self)\nself.ui.setupUi(self.frame)\nself.setTitle(self.name)\nself.status = compat_res[0]\nself.__fill_frame(info_res, compat_res, diag_res)",
"controller = info_res.memoryController\nif controller:\n maxMemoryModuleSize = self._check_invalid_values(controller.maxMemoryModuleSize)\n memor... | <|body_start_0|>
LDC_Info.__init__(self)
self.ui.setupUi(self.frame)
self.setTitle(self.name)
self.status = compat_res[0]
self.__fill_frame(info_res, compat_res, diag_res)
<|end_body_0|>
<|body_start_1|>
controller = info_res.memoryController
if controller:
... | Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de memória. | GUIMemory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GUIMemory:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de memória."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResMemory') com... | stack_v2_sparse_classes_36k_train_021127 | 4,015 | no_license | [
{
"docstring": "Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResMemory') compat_res -- Lista com as tuples de resultados de compatibilidade [(True, msg)] diag_res -- Lista com os resultados do diagnóstico (lista de 'DaigResMemory')",
"name": "__init__",
"signatu... | 3 | null | Implement the Python class `GUIMemory` described below.
Class description:
Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de memória.
Method signatures and docstrings:
- def __init__(self, info_res, compat_res, diag_res): Construtor Parâmetros: info_res -- lista com ... | Implement the Python class `GUIMemory` described below.
Class description:
Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de memória.
Method signatures and docstrings:
- def __init__(self, info_res, compat_res, diag_res): Construtor Parâmetros: info_res -- lista com ... | bda0c2c8977dd1246339f1f0f4718d29e8795f21 | <|skeleton|>
class GUIMemory:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de memória."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResMemory') com... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GUIMemory:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de memória."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResMemory') compat_res -- Li... | the_stack_v2_python_sparse | src/libs/memory/gui_memory.py | adrianomelo/ldc-desktop | train | 1 |
d33c8a3fc8fb334916fd3ad081203ec417e8a354 | [
"method = 'POST'\npath = self.path('config/access')\nscheme = None\nif address.startswith('https://'):\n scheme, address = ('https', address[8:])\nelif address.startswith('http://'):\n scheme, address = ('http', address[7:])\ndata = {'address': address, 'token': token, 'scheme': scheme}\nresponse = (yield fro... | <|body_start_0|>
method = 'POST'
path = self.path('config/access')
scheme = None
if address.startswith('https://'):
scheme, address = ('https', address[8:])
elif address.startswith('http://'):
scheme, address = ('http', address[7:])
data = {'addres... | ConsulBackend | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConsulBackend:
def config_access(self, address, token):
"""Configures the access information for Consul. This is a root protected endpoint. Parameters: address (str): The address of the Consul instance, provided as scheme://host:port token (str): The Consul ACL token to use. Must be a ma... | stack_v2_sparse_classes_36k_train_021128 | 2,998 | permissive | [
{
"docstring": "Configures the access information for Consul. This is a root protected endpoint. Parameters: address (str): The address of the Consul instance, provided as scheme://host:port token (str): The Consul ACL token to use. Must be a management type token. Results: bool",
"name": "config_access",
... | 5 | stack_v2_sparse_classes_30k_train_020902 | Implement the Python class `ConsulBackend` described below.
Class description:
Implement the ConsulBackend class.
Method signatures and docstrings:
- def config_access(self, address, token): Configures the access information for Consul. This is a root protected endpoint. Parameters: address (str): The address of the ... | Implement the Python class `ConsulBackend` described below.
Class description:
Implement the ConsulBackend class.
Method signatures and docstrings:
- def config_access(self, address, token): Configures the access information for Consul. This is a root protected endpoint. Parameters: address (str): The address of the ... | 03e1bfb6f0404dcf97ce87a98c539027c4e78a37 | <|skeleton|>
class ConsulBackend:
def config_access(self, address, token):
"""Configures the access information for Consul. This is a root protected endpoint. Parameters: address (str): The address of the Consul instance, provided as scheme://host:port token (str): The Consul ACL token to use. Must be a ma... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConsulBackend:
def config_access(self, address, token):
"""Configures the access information for Consul. This is a root protected endpoint. Parameters: address (str): The address of the Consul instance, provided as scheme://host:port token (str): The Consul ACL token to use. Must be a management type ... | the_stack_v2_python_sparse | aiovault/v1/secret/backends/consul.py | johnnoone/aiovault | train | 1 | |
cba652c5afe1e908f94300846fa37995e7f21bd2 | [
"self._cpu = cpu.Cpu()\nself._memory_controller = memory.MemoryController()\nself._video_controller = video.VideoController()",
"print('System.power_on()')\nself._cpu.power_on()\nself._memory_controller.power_on()\nself._video_controller.power_on()"
] | <|body_start_0|>
self._cpu = cpu.Cpu()
self._memory_controller = memory.MemoryController()
self._video_controller = video.VideoController()
<|end_body_0|>
<|body_start_1|>
print('System.power_on()')
self._cpu.power_on()
self._memory_controller.power_on()
self._vi... | Represents a computer system. | System | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class System:
"""Represents a computer system."""
def __init__(self):
"""Creates and initializes the system components."""
<|body_0|>
def power_on(self):
"""Powers on the system components."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self._cpu = c... | stack_v2_sparse_classes_36k_train_021129 | 550 | permissive | [
{
"docstring": "Creates and initializes the system components.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Powers on the system components.",
"name": "power_on",
"signature": "def power_on(self)"
}
] | 2 | null | Implement the Python class `System` described below.
Class description:
Represents a computer system.
Method signatures and docstrings:
- def __init__(self): Creates and initializes the system components.
- def power_on(self): Powers on the system components. | Implement the Python class `System` described below.
Class description:
Represents a computer system.
Method signatures and docstrings:
- def __init__(self): Creates and initializes the system components.
- def power_on(self): Powers on the system components.
<|skeleton|>
class System:
"""Represents a computer s... | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | <|skeleton|>
class System:
"""Represents a computer system."""
def __init__(self):
"""Creates and initializes the system components."""
<|body_0|>
def power_on(self):
"""Powers on the system components."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class System:
"""Represents a computer system."""
def __init__(self):
"""Creates and initializes the system components."""
self._cpu = cpu.Cpu()
self._memory_controller = memory.MemoryController()
self._video_controller = video.VideoController()
def power_on(self):
... | the_stack_v2_python_sparse | data/train/python/79af5ca3359d7199f6a3221b325aafcefb287cbfsystem.py | harshp8l/deep-learning-lang-detection | train | 0 |
9320a832ddfba04aee1244a5f67dab0ad25c7a51 | [
"data = ma.masked_inside(track['timestamp'], stime, etime)\ntrack = track.compress(data.mask)\ntimes, indices = np.unique(track['timestamp'], return_index=True)\ntrack = track[indices]\ntdifs = np.ediff1d(track['timestamp'], to_begin=1)\nchunk_end_idxs = np.where(tdifs > self.maxtimediff)[0]\nsafe_time_idx = np.whe... | <|body_start_0|>
data = ma.masked_inside(track['timestamp'], stime, etime)
track = track.compress(data.mask)
times, indices = np.unique(track['timestamp'], return_index=True)
track = track[indices]
tdifs = np.ediff1d(track['timestamp'], to_begin=1)
chunk_end_idxs = np.whe... | Cut track and correct it. | OfflineCorrectorService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OfflineCorrectorService:
"""Cut track and correct it."""
def _clean_timestamps(self, track, stime, etime):
"""Cut track in time and make array with timestamps monotonic. @param track: @type track: @return: @rtype:"""
<|body_0|>
def correct_track(self, track, stime, etime... | stack_v2_sparse_classes_36k_train_021130 | 28,613 | no_license | [
{
"docstring": "Cut track in time and make array with timestamps monotonic. @param track: @type track: @return: @rtype:",
"name": "_clean_timestamps",
"signature": "def _clean_timestamps(self, track, stime, etime)"
},
{
"docstring": "Receive raw parsed data, cut it and looks for bad times. @para... | 2 | null | Implement the Python class `OfflineCorrectorService` described below.
Class description:
Cut track and correct it.
Method signatures and docstrings:
- def _clean_timestamps(self, track, stime, etime): Cut track in time and make array with timestamps monotonic. @param track: @type track: @return: @rtype:
- def correct... | Implement the Python class `OfflineCorrectorService` described below.
Class description:
Cut track and correct it.
Method signatures and docstrings:
- def _clean_timestamps(self, track, stime, etime): Cut track in time and make array with timestamps monotonic. @param track: @type track: @return: @rtype:
- def correct... | ebb545cf5abcdc7707fa73e0824c923c5289793c | <|skeleton|>
class OfflineCorrectorService:
"""Cut track and correct it."""
def _clean_timestamps(self, track, stime, etime):
"""Cut track in time and make array with timestamps monotonic. @param track: @type track: @return: @rtype:"""
<|body_0|>
def correct_track(self, track, stime, etime... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OfflineCorrectorService:
"""Cut track and correct it."""
def _clean_timestamps(self, track, stime, etime):
"""Cut track in time and make array with timestamps monotonic. @param track: @type track: @return: @rtype:"""
data = ma.masked_inside(track['timestamp'], stime, etime)
track ... | the_stack_v2_python_sparse | gorynych/processor/domain/services.py | TBoris/gorynych | train | 0 |
ba11d32089592876d9a015471694f30ac44f6d90 | [
"if len(ContentFilter.__UNSAFE_WORDS) == 0:\n _dir = path.dirname(path.abspath(__file__))\n with open(path.join(_dir, '../static/txt/unsafe_words.txt'), 'r') as f:\n lines = f.readlines()\n for l in lines:\n ContentFilter.__UNSAFE_WORDS.append(l.strip())\nreturn ContentFilter.__UNSAFE... | <|body_start_0|>
if len(ContentFilter.__UNSAFE_WORDS) == 0:
_dir = path.dirname(path.abspath(__file__))
with open(path.join(_dir, '../static/txt/unsafe_words.txt'), 'r') as f:
lines = f.readlines()
for l in lines:
ContentFilter.__UNSAFE... | ContentFilter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContentFilter:
def unsafe_words():
"""Populates unsafe_words list with the contents of a file in monolith/static/txt folder if the list is still empty. Returns the unsafe words list."""
<|body_0|>
def filter_content(message_body) -> bool:
"""For every word in the mes... | stack_v2_sparse_classes_36k_train_021131 | 13,119 | no_license | [
{
"docstring": "Populates unsafe_words list with the contents of a file in monolith/static/txt folder if the list is still empty. Returns the unsafe words list.",
"name": "unsafe_words",
"signature": "def unsafe_words()"
},
{
"docstring": "For every word in the message_body string checks if it i... | 2 | stack_v2_sparse_classes_30k_train_021643 | Implement the Python class `ContentFilter` described below.
Class description:
Implement the ContentFilter class.
Method signatures and docstrings:
- def unsafe_words(): Populates unsafe_words list with the contents of a file in monolith/static/txt folder if the list is still empty. Returns the unsafe words list.
- d... | Implement the Python class `ContentFilter` described below.
Class description:
Implement the ContentFilter class.
Method signatures and docstrings:
- def unsafe_words(): Populates unsafe_words list with the contents of a file in monolith/static/txt folder if the list is still empty. Returns the unsafe words list.
- d... | 3227746a46367d3815c1ed877e7a67417e8de5a1 | <|skeleton|>
class ContentFilter:
def unsafe_words():
"""Populates unsafe_words list with the contents of a file in monolith/static/txt folder if the list is still empty. Returns the unsafe words list."""
<|body_0|>
def filter_content(message_body) -> bool:
"""For every word in the mes... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ContentFilter:
def unsafe_words():
"""Populates unsafe_words list with the contents of a file in monolith/static/txt folder if the list is still empty. Returns the unsafe words list."""
if len(ContentFilter.__UNSAFE_WORDS) == 0:
_dir = path.dirname(path.abspath(__file__))
... | the_stack_v2_python_sparse | monolith/classes/message.py | Team6ASE2021/MMIAB-PRIMER | train | 1 | |
51801a991c13018a0b6018a43b276feb128e0ffa | [
"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... | Service for ingesting and querying logs. | LoggingServiceV2Servicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoggingServiceV2Servicer:
"""Service for ingesting and querying logs."""
def DeleteLog(self, request, context):
"""Deletes all the log entries in a log. The log reappears if it receives new entries. Log entries written shortly before the delete operation might not be deleted."""
... | stack_v2_sparse_classes_36k_train_021132 | 6,823 | permissive | [
{
"docstring": "Deletes all the log entries in a log. The log reappears if it receives new entries. Log entries written shortly before the delete operation might not be deleted.",
"name": "DeleteLog",
"signature": "def DeleteLog(self, request, context)"
},
{
"docstring": "Writes log entries to L... | 5 | null | Implement the Python class `LoggingServiceV2Servicer` described below.
Class description:
Service for ingesting and querying logs.
Method signatures and docstrings:
- def DeleteLog(self, request, context): Deletes all the log entries in a log. The log reappears if it receives new entries. Log entries written shortly ... | Implement the Python class `LoggingServiceV2Servicer` described below.
Class description:
Service for ingesting and querying logs.
Method signatures and docstrings:
- def DeleteLog(self, request, context): Deletes all the log entries in a log. The log reappears if it receives new entries. Log entries written shortly ... | d897d56bce03d1fda98b79afb08264e51d46c421 | <|skeleton|>
class LoggingServiceV2Servicer:
"""Service for ingesting and querying logs."""
def DeleteLog(self, request, context):
"""Deletes all the log entries in a log. The log reappears if it receives new entries. Log entries written shortly before the delete operation might not be deleted."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LoggingServiceV2Servicer:
"""Service for ingesting and querying logs."""
def DeleteLog(self, request, context):
"""Deletes all the log entries in a log. The log reappears if it receives new entries. Log entries written shortly before the delete operation might not be deleted."""
context.s... | the_stack_v2_python_sparse | logging/google/cloud/logging_v2/proto/logging_pb2_grpc.py | tswast/google-cloud-python | train | 1 |
5b0500661a868e1922a93a3abd6f634c0d08e8ec | [
"self.name = name\nself.num = num\nself.course = course\nself.classes = classes\nself.teacher = teacher\nself.student = student",
"ret = MyPickle.load(settings.schoolinfo)\nfor i in ret.values():\n if self.name == i.name:\n Public.print('%s已经存在！' % self.name, 'error')\n return 0\nself.num = len(r... | <|body_start_0|>
self.name = name
self.num = num
self.course = course
self.classes = classes
self.teacher = teacher
self.student = student
<|end_body_0|>
<|body_start_1|>
ret = MyPickle.load(settings.schoolinfo)
for i in ret.values():
if self.... | School | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class School:
def __init__(self, name, num=0, classes={}, course={}, teacher={}, student={}):
""":param name: 学校名称 :param num: 学校的ID :param classes: 学校包含的所有班级 :param course: 学校包含的所有课程 :param teacher: 学校包含的所有老师 :param student: 包含学校的所有学生"""
<|body_0|>
def create(self):
"""创建... | stack_v2_sparse_classes_36k_train_021133 | 3,775 | no_license | [
{
"docstring": ":param name: 学校名称 :param num: 学校的ID :param classes: 学校包含的所有班级 :param course: 学校包含的所有课程 :param teacher: 学校包含的所有老师 :param student: 包含学校的所有学生",
"name": "__init__",
"signature": "def __init__(self, name, num=0, classes={}, course={}, teacher={}, student={})"
},
{
"docstring": "创建学校 :... | 2 | stack_v2_sparse_classes_30k_train_014156 | Implement the Python class `School` described below.
Class description:
Implement the School class.
Method signatures and docstrings:
- def __init__(self, name, num=0, classes={}, course={}, teacher={}, student={}): :param name: 学校名称 :param num: 学校的ID :param classes: 学校包含的所有班级 :param course: 学校包含的所有课程 :param teacher:... | Implement the Python class `School` described below.
Class description:
Implement the School class.
Method signatures and docstrings:
- def __init__(self, name, num=0, classes={}, course={}, teacher={}, student={}): :param name: 学校名称 :param num: 学校的ID :param classes: 学校包含的所有班级 :param course: 学校包含的所有课程 :param teacher:... | d7fc68d3d23345df5bfb09d4a84686c8b49a5ad7 | <|skeleton|>
class School:
def __init__(self, name, num=0, classes={}, course={}, teacher={}, student={}):
""":param name: 学校名称 :param num: 学校的ID :param classes: 学校包含的所有班级 :param course: 学校包含的所有课程 :param teacher: 学校包含的所有老师 :param student: 包含学校的所有学生"""
<|body_0|>
def create(self):
"""创建... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class School:
def __init__(self, name, num=0, classes={}, course={}, teacher={}, student={}):
""":param name: 学校名称 :param num: 学校的ID :param classes: 学校包含的所有班级 :param course: 学校包含的所有课程 :param teacher: 学校包含的所有老师 :param student: 包含学校的所有学生"""
self.name = name
self.num = num
self.course =... | the_stack_v2_python_sparse | Homework/day07/core/school.py | 214031230/Python21 | train | 0 | |
a02aae8b0ad9829c94253ecbd7d633c80ff9b73a | [
"super().__init__(config)\nself.in_proj_weight = nn.Parameter(torch.cat([bert_layer.attention.q_lin.weight, bert_layer.attention.k_lin.weight, bert_layer.attention.v_lin.weight]))\nself.in_proj_bias = nn.Parameter(torch.cat([bert_layer.attention.q_lin.bias, bert_layer.attention.k_lin.bias, bert_layer.attention.v_li... | <|body_start_0|>
super().__init__(config)
self.in_proj_weight = nn.Parameter(torch.cat([bert_layer.attention.q_lin.weight, bert_layer.attention.k_lin.weight, bert_layer.attention.v_lin.weight]))
self.in_proj_bias = nn.Parameter(torch.cat([bert_layer.attention.q_lin.bias, bert_layer.attention.k_l... | DistilBertLayerBetterTransformer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DistilBertLayerBetterTransformer:
def __init__(self, bert_layer, config):
"""A simple conversion of the Distill-BERTLayer to its `BetterTransformer` implementation. Args: bert_layer (`torch.nn.Module`): The original Distill-BERT Layer where the weights needs to be retrieved."""
<... | stack_v2_sparse_classes_36k_train_021134 | 43,670 | no_license | [
{
"docstring": "A simple conversion of the Distill-BERTLayer to its `BetterTransformer` implementation. Args: bert_layer (`torch.nn.Module`): The original Distill-BERT Layer where the weights needs to be retrieved.",
"name": "__init__",
"signature": "def __init__(self, bert_layer, config)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_002148 | Implement the Python class `DistilBertLayerBetterTransformer` described below.
Class description:
Implement the DistilBertLayerBetterTransformer class.
Method signatures and docstrings:
- def __init__(self, bert_layer, config): A simple conversion of the Distill-BERTLayer to its `BetterTransformer` implementation. Ar... | Implement the Python class `DistilBertLayerBetterTransformer` described below.
Class description:
Implement the DistilBertLayerBetterTransformer class.
Method signatures and docstrings:
- def __init__(self, bert_layer, config): A simple conversion of the Distill-BERTLayer to its `BetterTransformer` implementation. Ar... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class DistilBertLayerBetterTransformer:
def __init__(self, bert_layer, config):
"""A simple conversion of the Distill-BERTLayer to its `BetterTransformer` implementation. Args: bert_layer (`torch.nn.Module`): The original Distill-BERT Layer where the weights needs to be retrieved."""
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DistilBertLayerBetterTransformer:
def __init__(self, bert_layer, config):
"""A simple conversion of the Distill-BERTLayer to its `BetterTransformer` implementation. Args: bert_layer (`torch.nn.Module`): The original Distill-BERT Layer where the weights needs to be retrieved."""
super().__init_... | the_stack_v2_python_sparse | generated/test_huggingface_optimum.py | jansel/pytorch-jit-paritybench | train | 35 | |
8e7a48b1ed9eafaaf6a1323470c167f8c67461b7 | [
"print('\\n', 'Cette commande vide les tables Category et Product.')\ncat = c.objects.all()\nprod = p.objects.all()\nprint('\\n', 'avant : ')\nprint(' cat / prod > ', len(cat), ' / ', len(prod))\ncat.delete()\nprod.delete()\nprint('\\n', 'après : ')\nprint(' cat / prod > ', len(cat), ' / ', len(prod))",
"print('\... | <|body_start_0|>
print('\n', 'Cette commande vide les tables Category et Product.')
cat = c.objects.all()
prod = p.objects.all()
print('\n', 'avant : ')
print(' cat / prod > ', len(cat), ' / ', len(prod))
cat.delete()
prod.delete()
print('\n', 'après : ')
... | this class manages the parameters you can pass to python manage.py | Command | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Command:
"""this class manages the parameters you can pass to python manage.py"""
def _drop_db(self):
"""drops the datas"""
<|body_0|>
def handle(self, *args, **options):
"""throws the drop_db function"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_021135 | 949 | no_license | [
{
"docstring": "drops the datas",
"name": "_drop_db",
"signature": "def _drop_db(self)"
},
{
"docstring": "throws the drop_db function",
"name": "handle",
"signature": "def handle(self, *args, **options)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000018 | Implement the Python class `Command` described below.
Class description:
this class manages the parameters you can pass to python manage.py
Method signatures and docstrings:
- def _drop_db(self): drops the datas
- def handle(self, *args, **options): throws the drop_db function | Implement the Python class `Command` described below.
Class description:
this class manages the parameters you can pass to python manage.py
Method signatures and docstrings:
- def _drop_db(self): drops the datas
- def handle(self, *args, **options): throws the drop_db function
<|skeleton|>
class Command:
"""this... | 378244474186a2fe25f91377f3628a1479329f99 | <|skeleton|>
class Command:
"""this class manages the parameters you can pass to python manage.py"""
def _drop_db(self):
"""drops the datas"""
<|body_0|>
def handle(self, *args, **options):
"""throws the drop_db function"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Command:
"""this class manages the parameters you can pass to python manage.py"""
def _drop_db(self):
"""drops the datas"""
print('\n', 'Cette commande vide les tables Category et Product.')
cat = c.objects.all()
prod = p.objects.all()
print('\n', 'avant : ')
... | the_stack_v2_python_sparse | products/management/commands/dropcp.py | blingstand/projet8 | train | 0 |
8fc8e783c200f7795328ca0fc1a02d59adac770f | [
"var = list()\ntry:\n for elem in db_mixins:\n for jfilter in jfilters:\n ok = joker.filter_occi_description(elem, jfilter)\n if ok is True:\n var.append(elem)\n logger.debug('===== Get_filtered_mixins: A Mixin document is found =====')\n ... | <|body_start_0|>
var = list()
try:
for elem in db_mixins:
for jfilter in jfilters:
ok = joker.filter_occi_description(elem, jfilter)
if ok is True:
var.append(elem)
logger.debug('===== Get... | Manager for Mixin documents | MixinManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MixinManager:
"""Manager for Mixin documents"""
def get_filtered_mixins(self, jfilters, db_mixins):
"""Returns mixin documents matching the filter provided Args: @param jfilters: description of the mixin document to retrieve @param db_mixins: mixin descriptions that already exist in ... | stack_v2_sparse_classes_36k_train_021136 | 8,578 | permissive | [
{
"docstring": "Returns mixin documents matching the filter provided Args: @param jfilters: description of the mixin document to retrieve @param db_mixins: mixin descriptions that already exist in database",
"name": "get_filtered_mixins",
"signature": "def get_filtered_mixins(self, jfilters, db_mixins)"... | 5 | null | Implement the Python class `MixinManager` described below.
Class description:
Manager for Mixin documents
Method signatures and docstrings:
- def get_filtered_mixins(self, jfilters, db_mixins): Returns mixin documents matching the filter provided Args: @param jfilters: description of the mixin document to retrieve @p... | Implement the Python class `MixinManager` described below.
Class description:
Manager for Mixin documents
Method signatures and docstrings:
- def get_filtered_mixins(self, jfilters, db_mixins): Returns mixin documents matching the filter provided Args: @param jfilters: description of the mixin document to retrieve @p... | 9535b721e7b832d72fd7bba6d2a29e76a0d4bdb7 | <|skeleton|>
class MixinManager:
"""Manager for Mixin documents"""
def get_filtered_mixins(self, jfilters, db_mixins):
"""Returns mixin documents matching the filter provided Args: @param jfilters: description of the mixin document to retrieve @param db_mixins: mixin descriptions that already exist in ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MixinManager:
"""Manager for Mixin documents"""
def get_filtered_mixins(self, jfilters, db_mixins):
"""Returns mixin documents matching the filter provided Args: @param jfilters: description of the mixin document to retrieve @param db_mixins: mixin descriptions that already exist in database"""
... | the_stack_v2_python_sparse | pyocni/junglers/managers/mixinManager.py | MarouenMechtri/CNG-Manager | train | 1 |
1ace4b9bce81e93bee6f6edea43cc175547d7e26 | [
"if params:\n assert param_types is not None\nreturn cls(is_sql=True, is_table=False, read_operation='process_query_batch', kwargs={'sql': sql, 'params': params, 'param_types': param_types})",
"keyset = keyset or KeySet(all_=True)\nif not isinstance(keyset, KeySet):\n raise ValueError('keyset must be an ins... | <|body_start_0|>
if params:
assert param_types is not None
return cls(is_sql=True, is_table=False, read_operation='process_query_batch', kwargs={'sql': sql, 'params': params, 'param_types': param_types})
<|end_body_0|>
<|body_start_1|>
keyset = keyset or KeySet(all_=True)
if... | Encapsulates a spanner read operation. | ReadOperation | [
"BSD-3-Clause",
"MIT",
"LicenseRef-scancode-protobuf",
"Apache-2.0",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReadOperation:
"""Encapsulates a spanner read operation."""
def query(cls, sql, params=None, param_types=None):
"""A convenient method to construct ReadOperation from sql query. Args: sql: SQL query statement params: (optional) values for parameter replacement. Keys must match the na... | stack_v2_sparse_classes_36k_train_021137 | 48,677 | permissive | [
{
"docstring": "A convenient method to construct ReadOperation from sql query. Args: sql: SQL query statement params: (optional) values for parameter replacement. Keys must match the names used in sql param_types: (optional) maps explicit types for one or more param values; required if parameters are passed.",
... | 2 | stack_v2_sparse_classes_30k_train_016245 | Implement the Python class `ReadOperation` described below.
Class description:
Encapsulates a spanner read operation.
Method signatures and docstrings:
- def query(cls, sql, params=None, param_types=None): A convenient method to construct ReadOperation from sql query. Args: sql: SQL query statement params: (optional)... | Implement the Python class `ReadOperation` described below.
Class description:
Encapsulates a spanner read operation.
Method signatures and docstrings:
- def query(cls, sql, params=None, param_types=None): A convenient method to construct ReadOperation from sql query. Args: sql: SQL query statement params: (optional)... | 6d5048e05087ea54abc889ce402ae2a0abb9252b | <|skeleton|>
class ReadOperation:
"""Encapsulates a spanner read operation."""
def query(cls, sql, params=None, param_types=None):
"""A convenient method to construct ReadOperation from sql query. Args: sql: SQL query statement params: (optional) values for parameter replacement. Keys must match the na... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReadOperation:
"""Encapsulates a spanner read operation."""
def query(cls, sql, params=None, param_types=None):
"""A convenient method to construct ReadOperation from sql query. Args: sql: SQL query statement params: (optional) values for parameter replacement. Keys must match the names used in s... | the_stack_v2_python_sparse | sdks/python/apache_beam/io/gcp/experimental/spannerio.py | apache/beam | train | 7,061 |
4aae3da0b788550e595538611c3d3e22974f5a3a | [
"if len(candles) < cls.n * 3:\n raise ValueError(f'Cannot find support line with fewer than {cls.n * 3} candles')\nprices = np.array([(candle.low + candle.open) / 2.0 for candle in candles])\nprices_smooth = smooth(prices, cls.n + 1, 3)\nprices_dydx = np.zeros(len(candles))\nprices_dydx[1:] = np.subtract(prices_... | <|body_start_0|>
if len(candles) < cls.n * 3:
raise ValueError(f'Cannot find support line with fewer than {cls.n * 3} candles')
prices = np.array([(candle.low + candle.open) / 2.0 for candle in candles])
prices_smooth = smooth(prices, cls.n + 1, 3)
prices_dydx = np.zeros(len(... | Finds support and resistance lines. | TrendLineFinder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrendLineFinder:
"""Finds support and resistance lines."""
def find_support_line(cls, candles: List[Candle]) -> Optional[PriceLine]:
"""Returns a support line, if one can be found."""
<|body_0|>
def find_resistance_line(cls, candles: List[Candle]) -> Optional[PriceLine]:... | stack_v2_sparse_classes_36k_train_021138 | 4,651 | no_license | [
{
"docstring": "Returns a support line, if one can be found.",
"name": "find_support_line",
"signature": "def find_support_line(cls, candles: List[Candle]) -> Optional[PriceLine]"
},
{
"docstring": "Returns a resistance line, if one can be found.",
"name": "find_resistance_line",
"signat... | 2 | null | Implement the Python class `TrendLineFinder` described below.
Class description:
Finds support and resistance lines.
Method signatures and docstrings:
- def find_support_line(cls, candles: List[Candle]) -> Optional[PriceLine]: Returns a support line, if one can be found.
- def find_resistance_line(cls, candles: List[... | Implement the Python class `TrendLineFinder` described below.
Class description:
Finds support and resistance lines.
Method signatures and docstrings:
- def find_support_line(cls, candles: List[Candle]) -> Optional[PriceLine]: Returns a support line, if one can be found.
- def find_resistance_line(cls, candles: List[... | 3e067af6840e41d15a6b46ca5f5828000df35321 | <|skeleton|>
class TrendLineFinder:
"""Finds support and resistance lines."""
def find_support_line(cls, candles: List[Candle]) -> Optional[PriceLine]:
"""Returns a support line, if one can be found."""
<|body_0|>
def find_resistance_line(cls, candles: List[Candle]) -> Optional[PriceLine]:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TrendLineFinder:
"""Finds support and resistance lines."""
def find_support_line(cls, candles: List[Candle]) -> Optional[PriceLine]:
"""Returns a support line, if one can be found."""
if len(candles) < cls.n * 3:
raise ValueError(f'Cannot find support line with fewer than {cls... | the_stack_v2_python_sparse | backend/tc2/stock_analysis/model_output/TrendLineFinder.py | maxilie/TC2_public | train | 0 |
d2c8f91273b26c75189dd1ab05af4d6c2c29e728 | [
"dummy = ListNode(0)\nwhile head:\n q = head.next\n head.next = dummy.next\n dummy.next = head\n head = q\nreturn dummy.next",
"if not head or not head.next:\n return head\npre = head\np = pre.next\nr = p.next\npre.next = None\np.next = pre\nwhile r:\n pre = p\n p = r\n r = r.next\n p.n... | <|body_start_0|>
dummy = ListNode(0)
while head:
q = head.next
head.next = dummy.next
dummy.next = head
head = q
return dummy.next
<|end_body_0|>
<|body_start_1|>
if not head or not head.next:
return head
pre = head
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList1(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseList2(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
def reverseList3(self, head):
""":type head: ListNode :rtype: List... | stack_v2_sparse_classes_36k_train_021139 | 1,475 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList1",
"signature": "def reverseList1(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList2",
"signature": "def reverseList2(self, head)"
},
{
"docstring": ":type head... | 3 | stack_v2_sparse_classes_30k_train_016696 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList1(self, head): :type head: ListNode :rtype: ListNode
- def reverseList2(self, head): :type head: ListNode :rtype: ListNode
- def reverseList3(self, head): :type he... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList1(self, head): :type head: ListNode :rtype: ListNode
- def reverseList2(self, head): :type head: ListNode :rtype: ListNode
- def reverseList3(self, head): :type he... | 8dfbb10a87d8a3fdde466ab16fff8b67503e41f4 | <|skeleton|>
class Solution:
def reverseList1(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseList2(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
def reverseList3(self, head):
""":type head: ListNode :rtype: List... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseList1(self, head):
""":type head: ListNode :rtype: ListNode"""
dummy = ListNode(0)
while head:
q = head.next
head.next = dummy.next
dummy.next = head
head = q
return dummy.next
def reverseList2(self, head... | the_stack_v2_python_sparse | easy/0206.reverse-linked-list.py | codershenghai/PyLeetcode | train | 0 | |
e3ede257f882ebdd7d2420fd4520c6f46e7371c7 | [
"data = dict()\ndata['north'] = game.north\ndata['east'] = game.east\ndata['south'] = game.south\ndata['west'] = game.west\ndata['northUrl'] = game.north_url\ndata['eastUrl'] = game.east_url\ndata['southUrl'] = game.south_url\ndata['westUrl'] = game.west_url\ndata['northId'] = game.north_id\ndata['eastId'] = game.e... | <|body_start_0|>
data = dict()
data['north'] = game.north
data['east'] = game.east
data['south'] = game.south
data['west'] = game.west
data['northUrl'] = game.north_url
data['eastUrl'] = game.east_url
data['southUrl'] = game.south_url
data['westUrl... | Class for generation of the dict/json representation of a game (Game) and vice versa. | GameSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameSerializer:
"""Class for generation of the dict/json representation of a game (Game) and vice versa."""
def game_to_dict(game: Game) -> dict:
"""Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: ... | stack_v2_sparse_classes_36k_train_021140 | 2,604 | no_license | [
{
"docstring": "Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: game: the game to convert Returns: dict representation of the game that can be converted to json",
"name": "game_to_dict",
"signature": "def game_to_dict... | 2 | stack_v2_sparse_classes_30k_train_010459 | Implement the Python class `GameSerializer` described below.
Class description:
Class for generation of the dict/json representation of a game (Game) and vice versa.
Method signatures and docstrings:
- def game_to_dict(game: Game) -> dict: Generate dict for the game that corresponds to the json description. RoundGene... | Implement the Python class `GameSerializer` described below.
Class description:
Class for generation of the dict/json representation of a game (Game) and vice versa.
Method signatures and docstrings:
- def game_to_dict(game: Game) -> dict: Generate dict for the game that corresponds to the json description. RoundGene... | 73b59f773f138e390951849f982de865d4f667b5 | <|skeleton|>
class GameSerializer:
"""Class for generation of the dict/json representation of a game (Game) and vice versa."""
def game_to_dict(game: Game) -> dict:
"""Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GameSerializer:
"""Class for generation of the dict/json representation of a game (Game) and vice versa."""
def game_to_dict(game: Game) -> dict:
"""Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: game: the gam... | the_stack_v2_python_sparse | source/jass/ion/game_serializer.py | FAIKUE/DL4G | train | 0 |
c9609a40c4a9a4913b961d70967237983afb7a9d | [
"if state.func_ir is None:\n pm.add_pass(TranslateByteCode, 'analyzing bytecode')\n pm.add_pass(FixupArgs, 'fix up args')\npm.add_pass(IRProcessing, 'processing IR')\npm.add_pass(WithLifting, 'Handle with contexts')\npm.add_pass(DPPYRewriteOverloadedNumPyFunctions, 'Rewrite name of Numpy functions to overload... | <|body_start_0|>
if state.func_ir is None:
pm.add_pass(TranslateByteCode, 'analyzing bytecode')
pm.add_pass(FixupArgs, 'fix up args')
pm.add_pass(IRProcessing, 'processing IR')
pm.add_pass(WithLifting, 'Handle with contexts')
pm.add_pass(DPPYRewriteOverloadedNumPy... | This is the DPPY pass builder to run Intel GPU/CPU specific code-generation and optimization passes. This pass builder does not offer objectmode and interpreted passes. | DPPYPassBuilder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DPPYPassBuilder:
"""This is the DPPY pass builder to run Intel GPU/CPU specific code-generation and optimization passes. This pass builder does not offer objectmode and interpreted passes."""
def default_numba_nopython_pipeline(state, pm):
"""Adds the default set of NUMBA passes to t... | stack_v2_sparse_classes_36k_train_021141 | 5,412 | permissive | [
{
"docstring": "Adds the default set of NUMBA passes to the pass manager",
"name": "default_numba_nopython_pipeline",
"signature": "def default_numba_nopython_pipeline(state, pm)"
},
{
"docstring": "Returns an nopython mode pipeline based PassManager",
"name": "define_nopython_pipeline",
... | 2 | stack_v2_sparse_classes_30k_train_000213 | Implement the Python class `DPPYPassBuilder` described below.
Class description:
This is the DPPY pass builder to run Intel GPU/CPU specific code-generation and optimization passes. This pass builder does not offer objectmode and interpreted passes.
Method signatures and docstrings:
- def default_numba_nopython_pipel... | Implement the Python class `DPPYPassBuilder` described below.
Class description:
This is the DPPY pass builder to run Intel GPU/CPU specific code-generation and optimization passes. This pass builder does not offer objectmode and interpreted passes.
Method signatures and docstrings:
- def default_numba_nopython_pipel... | f8b3cc81b65ba75d126c8b3cb603d752eb681c7e | <|skeleton|>
class DPPYPassBuilder:
"""This is the DPPY pass builder to run Intel GPU/CPU specific code-generation and optimization passes. This pass builder does not offer objectmode and interpreted passes."""
def default_numba_nopython_pipeline(state, pm):
"""Adds the default set of NUMBA passes to t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DPPYPassBuilder:
"""This is the DPPY pass builder to run Intel GPU/CPU specific code-generation and optimization passes. This pass builder does not offer objectmode and interpreted passes."""
def default_numba_nopython_pipeline(state, pm):
"""Adds the default set of NUMBA passes to the pass manag... | the_stack_v2_python_sparse | numba_dppy/dppy_passbuilder.py | FermiQ/numba-dppy | train | 0 |
cb04213c180ce25631f43d4739d8ddd8e1744d3a | [
"if nickname is None:\n nickname = generate_unique_nickname(self.model)\nif not email:\n raise ValueError(_('The Email must be set'))\nemail = self.normalize_email(email)\nuser = self.model(email=email, nickname=nickname, **extra_fields)\nif password:\n user.set_password(password)\nuser.save()\nreturn user... | <|body_start_0|>
if nickname is None:
nickname = generate_unique_nickname(self.model)
if not email:
raise ValueError(_('The Email must be set'))
email = self.normalize_email(email)
user = self.model(email=email, nickname=nickname, **extra_fields)
if passwo... | Custom user model manager where email is the unique identifiers for authentication instead of usernames. | CustomUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password=None, nickname=None, **extra_fields):
"""Create and save a User with the given email and password."""
<|body... | stack_v2_sparse_classes_36k_train_021142 | 4,344 | no_license | [
{
"docstring": "Create and save a User with the given email and password.",
"name": "create_user",
"signature": "def create_user(self, email, password=None, nickname=None, **extra_fields)"
},
{
"docstring": "Create and save a SuperUser with the given email and password.",
"name": "create_sup... | 2 | stack_v2_sparse_classes_30k_train_015977 | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where email is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, email, password=None, nickname=None, **extra_fields): Create and save a ... | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where email is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, email, password=None, nickname=None, **extra_fields): Create and save a ... | 2faa927c60d8b3d27a2a0e8160a60ae647528c49 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password=None, nickname=None, **extra_fields):
"""Create and save a User with the given email and password."""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password=None, nickname=None, **extra_fields):
"""Create and save a User with the given email and password."""
if nickname is None... | the_stack_v2_python_sparse | backend/project_alpha/web/models.py | asynccat/project-alpha | train | 1 |
5d5c2f9b05352c0372222d7d6328a8f1e949c951 | [
"channel = plexus.info\ncfg = self.pyre_configurator\nchannel.indent()\nfor uri, priority in cfg.sources:\n channel.line(f\"{uri}, priority '{priority.name}'\")\nchannel.outdent()\nchannel.log()\nreturn 0",
"channel = plexus.info\nprefix = 'merlin' if self.root is None else self.root\nnameserver = self.pyre_na... | <|body_start_0|>
channel = plexus.info
cfg = self.pyre_configurator
channel.indent()
for uri, priority in cfg.sources:
channel.line(f"{uri}, priority '{priority.name}'")
channel.outdent()
channel.log()
return 0
<|end_body_0|>
<|body_start_1|>
... | Display debugging information about this application | Debug | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Debug:
"""Display debugging information about this application"""
def config(self, plexus, **kwds):
"""Generate a list of encountered configuration files"""
<|body_0|>
def nfs(self, plexus, **kwds):
"""Dump the application configuration namespace"""
<|bod... | stack_v2_sparse_classes_36k_train_021143 | 3,984 | permissive | [
{
"docstring": "Generate a list of encountered configuration files",
"name": "config",
"signature": "def config(self, plexus, **kwds)"
},
{
"docstring": "Dump the application configuration namespace",
"name": "nfs",
"signature": "def nfs(self, plexus, **kwds)"
},
{
"docstring": "... | 3 | null | Implement the Python class `Debug` described below.
Class description:
Display debugging information about this application
Method signatures and docstrings:
- def config(self, plexus, **kwds): Generate a list of encountered configuration files
- def nfs(self, plexus, **kwds): Dump the application configuration names... | Implement the Python class `Debug` described below.
Class description:
Display debugging information about this application
Method signatures and docstrings:
- def config(self, plexus, **kwds): Generate a list of encountered configuration files
- def nfs(self, plexus, **kwds): Dump the application configuration names... | d741c44ffb3e9e1f726bf492202ac8738bb4aa1c | <|skeleton|>
class Debug:
"""Display debugging information about this application"""
def config(self, plexus, **kwds):
"""Generate a list of encountered configuration files"""
<|body_0|>
def nfs(self, plexus, **kwds):
"""Dump the application configuration namespace"""
<|bod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Debug:
"""Display debugging information about this application"""
def config(self, plexus, **kwds):
"""Generate a list of encountered configuration files"""
channel = plexus.info
cfg = self.pyre_configurator
channel.indent()
for uri, priority in cfg.sources:
... | the_stack_v2_python_sparse | packages/merlin/cli/Debug.py | pyre/pyre | train | 27 |
5bde3085aee87c16027318b0f8d74907ab245659 | [
"if self._state is None:\n raise DiscordException('Invalid state (no ConnectionState provided)')\nreturn await self._state.http.get_from_cdn(self.url)",
"data = await self.read()\nif isinstance(fp, io.BufferedIOBase):\n written = fp.write(data)\n if seek_begin:\n fp.seek(0)\n return written\nel... | <|body_start_0|>
if self._state is None:
raise DiscordException('Invalid state (no ConnectionState provided)')
return await self._state.http.get_from_cdn(self.url)
<|end_body_0|>
<|body_start_1|>
data = await self.read()
if isinstance(fp, io.BufferedIOBase):
writ... | AssetMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AssetMixin:
async def read(self) -> bytes:
"""|coro| Retrieves the content of this asset as a :class:`bytes` object. Raises ------ DiscordException There was no internal connection state. HTTPException Downloading the asset failed. NotFound The asset was deleted. Returns ------- :class:`... | stack_v2_sparse_classes_36k_train_021144 | 15,837 | permissive | [
{
"docstring": "|coro| Retrieves the content of this asset as a :class:`bytes` object. Raises ------ DiscordException There was no internal connection state. HTTPException Downloading the asset failed. NotFound The asset was deleted. Returns ------- :class:`bytes` The content of the asset.",
"name": "read",... | 3 | stack_v2_sparse_classes_30k_train_003652 | Implement the Python class `AssetMixin` described below.
Class description:
Implement the AssetMixin class.
Method signatures and docstrings:
- async def read(self) -> bytes: |coro| Retrieves the content of this asset as a :class:`bytes` object. Raises ------ DiscordException There was no internal connection state. H... | Implement the Python class `AssetMixin` described below.
Class description:
Implement the AssetMixin class.
Method signatures and docstrings:
- async def read(self) -> bytes: |coro| Retrieves the content of this asset as a :class:`bytes` object. Raises ------ DiscordException There was no internal connection state. H... | f74eb14d722aa1bc90f9d0478199250d2eb4e81b | <|skeleton|>
class AssetMixin:
async def read(self) -> bytes:
"""|coro| Retrieves the content of this asset as a :class:`bytes` object. Raises ------ DiscordException There was no internal connection state. HTTPException Downloading the asset failed. NotFound The asset was deleted. Returns ------- :class:`... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AssetMixin:
async def read(self) -> bytes:
"""|coro| Retrieves the content of this asset as a :class:`bytes` object. Raises ------ DiscordException There was no internal connection state. HTTPException Downloading the asset failed. NotFound The asset was deleted. Returns ------- :class:`bytes` The con... | the_stack_v2_python_sparse | discord/asset.py | Rapptz/discord.py | train | 15,894 | |
fff7b890da23348a6c8b6afa9e22bb9afec32872 | [
"article = ArticleInst.fetch(slug)\nCommentAPIView.check_comment(article=article, key=id)\ncomment_reply = self.get_reply(parent=id, child=key)\nserializer = self.serializer_class(comment_reply)\nreturn Response(data=serializer.data, status=status.HTTP_200_OK)",
"article = ArticleInst.fetch(slug)\nupdated_reply =... | <|body_start_0|>
article = ArticleInst.fetch(slug)
CommentAPIView.check_comment(article=article, key=id)
comment_reply = self.get_reply(parent=id, child=key)
serializer = self.serializer_class(comment_reply)
return Response(data=serializer.data, status=status.HTTP_200_OK)
<|end_b... | Creates, Updates and Deletes a single reply to an article comment | ReplyAPIView | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReplyAPIView:
"""Creates, Updates and Deletes a single reply to an article comment"""
def get(self, request, slug, id, key):
"""Fetches a comment on an article"""
<|body_0|>
def update(self, request, slug, id, key):
"""Updates a reply to a comment"""
<|bo... | stack_v2_sparse_classes_36k_train_021145 | 10,918 | permissive | [
{
"docstring": "Fetches a comment on an article",
"name": "get",
"signature": "def get(self, request, slug, id, key)"
},
{
"docstring": "Updates a reply to a comment",
"name": "update",
"signature": "def update(self, request, slug, id, key)"
},
{
"docstring": "Removes a reply fro... | 4 | stack_v2_sparse_classes_30k_train_021360 | Implement the Python class `ReplyAPIView` described below.
Class description:
Creates, Updates and Deletes a single reply to an article comment
Method signatures and docstrings:
- def get(self, request, slug, id, key): Fetches a comment on an article
- def update(self, request, slug, id, key): Updates a reply to a co... | Implement the Python class `ReplyAPIView` described below.
Class description:
Creates, Updates and Deletes a single reply to an article comment
Method signatures and docstrings:
- def get(self, request, slug, id, key): Fetches a comment on an article
- def update(self, request, slug, id, key): Updates a reply to a co... | b80ad485339dbb02b74d9b2093543bf8173d51de | <|skeleton|>
class ReplyAPIView:
"""Creates, Updates and Deletes a single reply to an article comment"""
def get(self, request, slug, id, key):
"""Fetches a comment on an article"""
<|body_0|>
def update(self, request, slug, id, key):
"""Updates a reply to a comment"""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReplyAPIView:
"""Creates, Updates and Deletes a single reply to an article comment"""
def get(self, request, slug, id, key):
"""Fetches a comment on an article"""
article = ArticleInst.fetch(slug)
CommentAPIView.check_comment(article=article, key=id)
comment_reply = self.g... | the_stack_v2_python_sparse | authors/apps/comments/views.py | deferral/ah-django | train | 1 |
b4dad595eae579aca50a8bd7ccf4d3a3ee509cd9 | [
"if start > stop:\n stop, start = (start, stop)\nself.start, self.stop = (start, stop)",
"if value < self.start or value > self.stop:\n raise error.ValueConstraintError('%s for %r: value %s not within allowed range: %s through %s' % (self.__class__.__name__, client.__class__.__name__, str(value), self.start... | <|body_start_0|>
if start > stop:
stop, start = (start, stop)
self.start, self.stop = (start, stop)
<|end_body_0|>
<|body_start_1|>
if value < self.start or value > self.stop:
raise error.ValueConstraintError('%s for %r: value %s not within allowed range: %s through %s' ... | Value must be within start and stop values (inclusive) | ValueRangeConstraint | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValueRangeConstraint:
"""Value must be within start and stop values (inclusive)"""
def __init__(self, start, stop):
"""Initialise the SingleValueConstraint with items start -- value below which errors are raised stop -- value above which errors are raised"""
<|body_0|>
d... | stack_v2_sparse_classes_36k_train_021146 | 3,782 | no_license | [
{
"docstring": "Initialise the SingleValueConstraint with items start -- value below which errors are raised stop -- value above which errors are raised",
"name": "__init__",
"signature": "def __init__(self, start, stop)"
},
{
"docstring": "Raise errors if value not appropriate for client",
... | 2 | stack_v2_sparse_classes_30k_train_020510 | Implement the Python class `ValueRangeConstraint` described below.
Class description:
Value must be within start and stop values (inclusive)
Method signatures and docstrings:
- def __init__(self, start, stop): Initialise the SingleValueConstraint with items start -- value below which errors are raised stop -- value a... | Implement the Python class `ValueRangeConstraint` described below.
Class description:
Value must be within start and stop values (inclusive)
Method signatures and docstrings:
- def __init__(self, start, stop): Initialise the SingleValueConstraint with items start -- value below which errors are raised stop -- value a... | 256401ac313df2e45c516af1a4d5398f54703b9c | <|skeleton|>
class ValueRangeConstraint:
"""Value must be within start and stop values (inclusive)"""
def __init__(self, start, stop):
"""Initialise the SingleValueConstraint with items start -- value below which errors are raised stop -- value above which errors are raised"""
<|body_0|>
d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ValueRangeConstraint:
"""Value must be within start and stop values (inclusive)"""
def __init__(self, start, stop):
"""Initialise the SingleValueConstraint with items start -- value below which errors are raised stop -- value above which errors are raised"""
if start > stop:
s... | the_stack_v2_python_sparse | pre/python/lib/python2.7/dist-packages/pysnmp/asn1/constraints.py | ag1455/OpenPLi-PC | train | 27 |
47a075b0f30584e16a3c4366d311b5cad5b685a0 | [
"if char == '-':\n return True\nelse:\n return False",
"if char.isnumeric():\n return True\nelif self.special_char(char):\n return True\nelse:\n return False",
"localstore = []\nfor elem in date:\n bval = self.check_and_store(elem)\n if bval:\n localstore.append(elem)\nresult = ''.jo... | <|body_start_0|>
if char == '-':
return True
else:
return False
<|end_body_0|>
<|body_start_1|>
if char.isnumeric():
return True
elif self.special_char(char):
return True
else:
return False
<|end_body_1|>
<|body_start_... | ValidDate | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValidDate:
def special_char(self, char):
"""Check to see if char is in a list of special date chars"""
<|body_0|>
def check_and_store(self, char):
"""Check to see if each char is a number or a special char in my list."""
<|body_1|>
def remove_unwanted_ch... | stack_v2_sparse_classes_36k_train_021147 | 1,269 | permissive | [
{
"docstring": "Check to see if char is in a list of special date chars",
"name": "special_char",
"signature": "def special_char(self, char)"
},
{
"docstring": "Check to see if each char is a number or a special char in my list.",
"name": "check_and_store",
"signature": "def check_and_st... | 3 | stack_v2_sparse_classes_30k_train_010118 | Implement the Python class `ValidDate` described below.
Class description:
Implement the ValidDate class.
Method signatures and docstrings:
- def special_char(self, char): Check to see if char is in a list of special date chars
- def check_and_store(self, char): Check to see if each char is a number or a special char... | Implement the Python class `ValidDate` described below.
Class description:
Implement the ValidDate class.
Method signatures and docstrings:
- def special_char(self, char): Check to see if char is in a list of special date chars
- def check_and_store(self, char): Check to see if each char is a number or a special char... | af80bedfb3e770171f61a505a6715836feb0ed10 | <|skeleton|>
class ValidDate:
def special_char(self, char):
"""Check to see if char is in a list of special date chars"""
<|body_0|>
def check_and_store(self, char):
"""Check to see if each char is a number or a special char in my list."""
<|body_1|>
def remove_unwanted_ch... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ValidDate:
def special_char(self, char):
"""Check to see if char is in a list of special date chars"""
if char == '-':
return True
else:
return False
def check_and_store(self, char):
"""Check to see if each char is a number or a special char in my l... | the_stack_v2_python_sparse | date/validate.py | stormalone/python-examples | train | 0 | |
8f628d9883f132531e7589e207ab2ae7091bff3e | [
"target_type = value.type.target()\nprint(\"'%s' is an array of '%s'.\" % (expr, str(target_type)))\nindex = 0\ntry:\n index = int(raw_input(\"Enter the index of the element you want to explore in '%s': \" % expr))\nexcept ValueError:\n if is_child:\n Explorer.return_to_parent_value()\n return False... | <|body_start_0|>
target_type = value.type.target()
print("'%s' is an array of '%s'." % (expr, str(target_type)))
index = 0
try:
index = int(raw_input("Enter the index of the element you want to explore in '%s': " % expr))
except ValueError:
if is_child:
... | Internal class used to explore arrays. | ArrayExplorer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArrayExplorer:
"""Internal class used to explore arrays."""
def explore_expr(expr, value, is_child):
"""Function to explore array values. See Explorer.explore_expr for more information."""
<|body_0|>
def explore_type(name, datatype, is_child):
"""Function to expl... | stack_v2_sparse_classes_36k_train_021148 | 26,692 | permissive | [
{
"docstring": "Function to explore array values. See Explorer.explore_expr for more information.",
"name": "explore_expr",
"signature": "def explore_expr(expr, value, is_child)"
},
{
"docstring": "Function to explore array types. See Explorer.explore_type for more information.",
"name": "ex... | 2 | stack_v2_sparse_classes_30k_train_016484 | Implement the Python class `ArrayExplorer` described below.
Class description:
Internal class used to explore arrays.
Method signatures and docstrings:
- def explore_expr(expr, value, is_child): Function to explore array values. See Explorer.explore_expr for more information.
- def explore_type(name, datatype, is_chi... | Implement the Python class `ArrayExplorer` described below.
Class description:
Internal class used to explore arrays.
Method signatures and docstrings:
- def explore_expr(expr, value, is_child): Function to explore array values. See Explorer.explore_expr for more information.
- def explore_type(name, datatype, is_chi... | b90664de0bd4c1897a9f1f5d9e360a9631d38b34 | <|skeleton|>
class ArrayExplorer:
"""Internal class used to explore arrays."""
def explore_expr(expr, value, is_child):
"""Function to explore array values. See Explorer.explore_expr for more information."""
<|body_0|>
def explore_type(name, datatype, is_child):
"""Function to expl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ArrayExplorer:
"""Internal class used to explore arrays."""
def explore_expr(expr, value, is_child):
"""Function to explore array values. See Explorer.explore_expr for more information."""
target_type = value.type.target()
print("'%s' is an array of '%s'." % (expr, str(target_type... | the_stack_v2_python_sparse | toolchain/riscv/Linux/share/gdb/python/gdb/command/explore.py | bouffalolab/bl_iot_sdk | train | 244 |
b1bf98d5a2673a7878b261bdf63093cff0a8f234 | [
"cluster = check_obj(Cluster, cluster_id, 'CLUSTER_NOT_FOUND')\nobj = self.filter_queryset(self.get_queryset().filter(cluster=cluster))\nreturn self.get_page(obj, request, {'cluster_id': cluster_id})",
"cluster = check_obj(Cluster, cluster_id, 'CLUSTER_NOT_FOUND')\nserializer = self.serializer_class(data=request.... | <|body_start_0|>
cluster = check_obj(Cluster, cluster_id, 'CLUSTER_NOT_FOUND')
obj = self.filter_queryset(self.get_queryset().filter(cluster=cluster))
return self.get_page(obj, request, {'cluster_id': cluster_id})
<|end_body_0|>
<|body_start_1|>
cluster = check_obj(Cluster, cluster_id, ... | ClusterServiceList | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClusterServiceList:
def get(self, request, cluster_id):
"""List all services of a specified cluster"""
<|body_0|>
def post(self, request, cluster_id):
"""Add service to specified cluster"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
cluster = chec... | stack_v2_sparse_classes_36k_train_021149 | 32,530 | permissive | [
{
"docstring": "List all services of a specified cluster",
"name": "get",
"signature": "def get(self, request, cluster_id)"
},
{
"docstring": "Add service to specified cluster",
"name": "post",
"signature": "def post(self, request, cluster_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018391 | Implement the Python class `ClusterServiceList` described below.
Class description:
Implement the ClusterServiceList class.
Method signatures and docstrings:
- def get(self, request, cluster_id): List all services of a specified cluster
- def post(self, request, cluster_id): Add service to specified cluster | Implement the Python class `ClusterServiceList` described below.
Class description:
Implement the ClusterServiceList class.
Method signatures and docstrings:
- def get(self, request, cluster_id): List all services of a specified cluster
- def post(self, request, cluster_id): Add service to specified cluster
<|skelet... | e1c67e3041437ad9e17dccc6c95c5ac02184eddb | <|skeleton|>
class ClusterServiceList:
def get(self, request, cluster_id):
"""List all services of a specified cluster"""
<|body_0|>
def post(self, request, cluster_id):
"""Add service to specified cluster"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClusterServiceList:
def get(self, request, cluster_id):
"""List all services of a specified cluster"""
cluster = check_obj(Cluster, cluster_id, 'CLUSTER_NOT_FOUND')
obj = self.filter_queryset(self.get_queryset().filter(cluster=cluster))
return self.get_page(obj, request, {'clus... | the_stack_v2_python_sparse | api/cluster_views.py | amleshkov/adcm | train | 0 | |
c3b1c63209d2f1edf1c70b162fbd6e234dd3b83a | [
"self.size = float(size)\nself.currentSize = 0\nself.avg = 0\nself.queue = []",
"self.queue.append(val)\nif self.currentSize == 0:\n self.avg = val\n self.currentSize = 1\n return val\nelif self.currentSize < self.size:\n self.avg = float(self.avg * self.currentSize + val) / (self.currentSize + 1)\n ... | <|body_start_0|>
self.size = float(size)
self.currentSize = 0
self.avg = 0
self.queue = []
<|end_body_0|>
<|body_start_1|>
self.queue.append(val)
if self.currentSize == 0:
self.avg = val
self.currentSize = 1
return val
elif sel... | MovingAverage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MovingAverage:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
<|body_0|>
def next(self, val):
""":type val: int :rtype: float"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.size = float(size)
self.... | stack_v2_sparse_classes_36k_train_021150 | 782 | no_license | [
{
"docstring": "Initialize your data structure here. :type size: int",
"name": "__init__",
"signature": "def __init__(self, size)"
},
{
"docstring": ":type val: int :rtype: float",
"name": "next",
"signature": "def next(self, val)"
}
] | 2 | null | Implement the Python class `MovingAverage` described below.
Class description:
Implement the MovingAverage class.
Method signatures and docstrings:
- def __init__(self, size): Initialize your data structure here. :type size: int
- def next(self, val): :type val: int :rtype: float | Implement the Python class `MovingAverage` described below.
Class description:
Implement the MovingAverage class.
Method signatures and docstrings:
- def __init__(self, size): Initialize your data structure here. :type size: int
- def next(self, val): :type val: int :rtype: float
<|skeleton|>
class MovingAverage:
... | 15f012927dc34b5d751af6633caa5e8882d26ff7 | <|skeleton|>
class MovingAverage:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
<|body_0|>
def next(self, val):
""":type val: int :rtype: float"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MovingAverage:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
self.size = float(size)
self.currentSize = 0
self.avg = 0
self.queue = []
def next(self, val):
""":type val: int :rtype: float"""
self.queue.append(v... | the_stack_v2_python_sparse | python/346.MovingAverageFromDataStream.py | MaxPoon/Leetcode | train | 15 | |
ba7c15ad207b7ca496aae16e0813f29e05dc157d | [
"self.trie = Trie()\nself.historical_sentence = ''\nself.dct = {}\nfor sentence, count in zip(sentences, times):\n self.trie.insert(sentence, count)\n self.dct[sentence] = count",
"if c == '#':\n self.trie.insert(self.historical_sentence, 1)\n self.historical_sentence = ''\n return []\nelse:\n s... | <|body_start_0|>
self.trie = Trie()
self.historical_sentence = ''
self.dct = {}
for sentence, count in zip(sentences, times):
self.trie.insert(sentence, count)
self.dct[sentence] = count
<|end_body_0|>
<|body_start_1|>
if c == '#':
self.trie.i... | AutocompleteSystem | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.trie = Trie()
... | stack_v2_sparse_classes_36k_train_021151 | 2,307 | permissive | [
{
"docstring": ":type sentences: List[str] :type times: List[int]",
"name": "__init__",
"signature": "def __init__(self, sentences, times)"
},
{
"docstring": ":type c: str :rtype: List[str]",
"name": "input",
"signature": "def input(self, c)"
}
] | 2 | null | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str] | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str]
<|skeleton|>
cla... | 1f30ea37af7b60585d168b15d9397143f53c92a1 | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
self.trie = Trie()
self.historical_sentence = ''
self.dct = {}
for sentence, count in zip(sentences, times):
self.trie.insert(sentence, count)
... | the_stack_v2_python_sparse | design_search_autocomplete_system.py | pranavdave893/Leetcode | train | 0 | |
89a228e893e87b20035e03a43537bcf5d1fcf929 | [
"super(MaDTwinNet, self).__init__()\nself.mad = MaD(rnn_enc_input_dim=rnn_enc_input_dim, rnn_dec_input_dim=rnn_dec_input_dim, context_length=context_length, original_input_dim=original_input_dim)\nself.twin_net = TwinNet(rnn_dec_input_dim=rnn_dec_input_dim, original_input_dim=original_input_dim, context_length=cont... | <|body_start_0|>
super(MaDTwinNet, self).__init__()
self.mad = MaD(rnn_enc_input_dim=rnn_enc_input_dim, rnn_dec_input_dim=rnn_dec_input_dim, context_length=context_length, original_input_dim=original_input_dim)
self.twin_net = TwinNet(rnn_dec_input_dim=rnn_dec_input_dim, original_input_dim=origi... | MaDTwinNet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaDTwinNet:
def __init__(self, rnn_enc_input_dim, rnn_dec_input_dim, original_input_dim, context_length):
"""The MaD TwinNet as a module. This class implements the MaD TwinNet as a module and it is based on the separate modules of MaD and TwinNet. :param rnn_enc_input_dim: The input dime... | stack_v2_sparse_classes_36k_train_021152 | 16,858 | no_license | [
{
"docstring": "The MaD TwinNet as a module. This class implements the MaD TwinNet as a module and it is based on the separate modules of MaD and TwinNet. :param rnn_enc_input_dim: The input dimensionality of the RNN encoder. :type rnn_enc_input_dim: int :param rnn_dec_input_dim: The input dimensionality of the... | 2 | null | Implement the Python class `MaDTwinNet` described below.
Class description:
Implement the MaDTwinNet class.
Method signatures and docstrings:
- def __init__(self, rnn_enc_input_dim, rnn_dec_input_dim, original_input_dim, context_length): The MaD TwinNet as a module. This class implements the MaD TwinNet as a module a... | Implement the Python class `MaDTwinNet` described below.
Class description:
Implement the MaDTwinNet class.
Method signatures and docstrings:
- def __init__(self, rnn_enc_input_dim, rnn_dec_input_dim, original_input_dim, context_length): The MaD TwinNet as a module. This class implements the MaD TwinNet as a module a... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class MaDTwinNet:
def __init__(self, rnn_enc_input_dim, rnn_dec_input_dim, original_input_dim, context_length):
"""The MaD TwinNet as a module. This class implements the MaD TwinNet as a module and it is based on the separate modules of MaD and TwinNet. :param rnn_enc_input_dim: The input dime... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MaDTwinNet:
def __init__(self, rnn_enc_input_dim, rnn_dec_input_dim, original_input_dim, context_length):
"""The MaD TwinNet as a module. This class implements the MaD TwinNet as a module and it is based on the separate modules of MaD and TwinNet. :param rnn_enc_input_dim: The input dimensionality of ... | the_stack_v2_python_sparse | generated/test_dr_costas_mad_twinnet.py | jansel/pytorch-jit-paritybench | train | 35 | |
89d2abb77bba966b4027cbed8649f19a85a05f83 | [
"self.ui = ui\nself.file_list_display = FileListDisplay.FileListDisplay(ui=ui)\nself.directory_display = DirectoryDisplay.DirectoryDisplay(ui=ui)\nself.image_display = ImageDisplay.ImageDisplay(ui=ui)\nself.save_image = SaveImage.SaveImage(ui=ui, image_display_object=self.image_display)\nself.stream_display = Strea... | <|body_start_0|>
self.ui = ui
self.file_list_display = FileListDisplay.FileListDisplay(ui=ui)
self.directory_display = DirectoryDisplay.DirectoryDisplay(ui=ui)
self.image_display = ImageDisplay.ImageDisplay(ui=ui)
self.save_image = SaveImage.SaveImage(ui=ui, image_display_object=... | NOTE: Any method defined in here is a slot intended to control multiple functions in the program (i.e. the clear may operate on the image display, the directory display and the application data). | Slots | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Slots:
"""NOTE: Any method defined in here is a slot intended to control multiple functions in the program (i.e. the clear may operate on the image display, the directory display and the application data)."""
def __init__(self, ui: IPViewWindow):
"""Instantiation must be the last thi... | stack_v2_sparse_classes_36k_train_021153 | 4,194 | no_license | [
{
"docstring": "Instantiation must be the last thing the GUI does. :param ui: IPViewWindow object",
"name": "__init__",
"signature": "def __init__(self, ui: IPViewWindow)"
},
{
"docstring": "Slot method for next image called",
"name": "next_button_pushed",
"signature": "def next_button_p... | 4 | stack_v2_sparse_classes_30k_train_017438 | Implement the Python class `Slots` described below.
Class description:
NOTE: Any method defined in here is a slot intended to control multiple functions in the program (i.e. the clear may operate on the image display, the directory display and the application data).
Method signatures and docstrings:
- def __init__(se... | Implement the Python class `Slots` described below.
Class description:
NOTE: Any method defined in here is a slot intended to control multiple functions in the program (i.e. the clear may operate on the image display, the directory display and the application data).
Method signatures and docstrings:
- def __init__(se... | 840ff86d2d0bce76f09a10af97276d77ef120586 | <|skeleton|>
class Slots:
"""NOTE: Any method defined in here is a slot intended to control multiple functions in the program (i.e. the clear may operate on the image display, the directory display and the application data)."""
def __init__(self, ui: IPViewWindow):
"""Instantiation must be the last thi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Slots:
"""NOTE: Any method defined in here is a slot intended to control multiple functions in the program (i.e. the clear may operate on the image display, the directory display and the application data)."""
def __init__(self, ui: IPViewWindow):
"""Instantiation must be the last thing the GUI do... | the_stack_v2_python_sparse | ip_view_ui/signals_and_slots.py | nellyBoi/IPView | train | 0 |
272d62e15bc6aac4ede42bffccb07a386e4d0f42 | [
"self.__screen = screen\nself.__msg = TextboxReflowed(40, TIMEZONE_LABEL.localize())\nself.__list = Listbox(5, scroll=1, returnExit=1)\nself.__utc = Checkbox(TIMEZONE_UTC_CHECKBOX_LABEL.localize(), isOn=0)\nself.__buttonsBar = ButtonBar(self.__screen, [(OK.localize(), 'ok'), (BACK.localize(), 'back')])\nself.__grid... | <|body_start_0|>
self.__screen = screen
self.__msg = TextboxReflowed(40, TIMEZONE_LABEL.localize())
self.__list = Listbox(5, scroll=1, returnExit=1)
self.__utc = Checkbox(TIMEZONE_UTC_CHECKBOX_LABEL.localize(), isOn=0)
self.__buttonsBar = ButtonBar(self.__screen, [(OK.localize(),... | Represents the timezone screen | AdjustTimezone | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdjustTimezone:
"""Represents the timezone screen"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def run(self, tzentries):
"""Draws the screen @type tzentries: list @param tzentries: list ... | stack_v2_sparse_classes_36k_train_021154 | 1,972 | no_license | [
{
"docstring": "Constructor @type screen: SnackScreen @param screen: SnackScreen instance",
"name": "__init__",
"signature": "def __init__(self, screen)"
},
{
"docstring": "Draws the screen @type tzentries: list @param tzentries: list of timezone available @rtype: integer @returns: status of ope... | 2 | stack_v2_sparse_classes_30k_train_008657 | Implement the Python class `AdjustTimezone` described below.
Class description:
Represents the timezone screen
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def run(self, tzentries): Draws the screen @type tzentries: list @p... | Implement the Python class `AdjustTimezone` described below.
Class description:
Represents the timezone screen
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def run(self, tzentries): Draws the screen @type tzentries: list @p... | 1c738fd5e6ee3f8fd4f47acf2207038f20868212 | <|skeleton|>
class AdjustTimezone:
"""Represents the timezone screen"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def run(self, tzentries):
"""Draws the screen @type tzentries: list @param tzentries: list ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdjustTimezone:
"""Represents the timezone screen"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
self.__screen = screen
self.__msg = TextboxReflowed(40, TIMEZONE_LABEL.localize())
self.__list = Listbox(5, scro... | the_stack_v2_python_sparse | zfrobisher-installer/src/viewer/newt/adjusttimezone.py | fedosu85nce/work | train | 2 |
b7cb478d53c56b1c83410727ad572d4df8bdc6c7 | [
"super(BaseToolchangerHands, self).__init__(parent)\nif not parent:\n return\nself._parent = parent\nself.handlight_l_command = HandlightCommand(self, self.HAND_L)\nself.handlight_r_command = HandlightCommand(self, self.HAND_R)\nself.toolchanger_l_command = ToolchangerCommand(self, self.HAND_L)\nself.toolchanger... | <|body_start_0|>
super(BaseToolchangerHands, self).__init__(parent)
if not parent:
return
self._parent = parent
self.handlight_l_command = HandlightCommand(self, self.HAND_L)
self.handlight_r_command = HandlightCommand(self, self.HAND_R)
self.toolchanger_l_com... | This class holds methods that are specific to the hands of NEXTAGE OPEN, accompanied with toolchanger. @deprecated: Since version 0.5.1, the functionality in this class is moved to other BaseHands subclasses (e.g. Iros13Hands). | BaseToolchangerHands | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseToolchangerHands:
"""This class holds methods that are specific to the hands of NEXTAGE OPEN, accompanied with toolchanger. @deprecated: Since version 0.5.1, the functionality in this class is moved to other BaseHands subclasses (e.g. Iros13Hands)."""
def __init__(self, parent):
... | stack_v2_sparse_classes_36k_train_021155 | 2,200 | permissive | [
{
"docstring": "Since this class operates requires an access to hrpsys.hrpsys_config.HrpsysConfigurator, valid 'parent' is a must. Otherwise __init__ returns without doing anything. @type parent: hrpsys.hrpsys_config.HrpsysConfigurator @param parent: derived class of HrpsysConfigurator.",
"name": "__init__"... | 2 | null | Implement the Python class `BaseToolchangerHands` described below.
Class description:
This class holds methods that are specific to the hands of NEXTAGE OPEN, accompanied with toolchanger. @deprecated: Since version 0.5.1, the functionality in this class is moved to other BaseHands subclasses (e.g. Iros13Hands).
Meth... | Implement the Python class `BaseToolchangerHands` described below.
Class description:
This class holds methods that are specific to the hands of NEXTAGE OPEN, accompanied with toolchanger. @deprecated: Since version 0.5.1, the functionality in this class is moved to other BaseHands subclasses (e.g. Iros13Hands).
Meth... | 03c9e59779a30e2f6dedf2732ad8a46e6ac3c9f0 | <|skeleton|>
class BaseToolchangerHands:
"""This class holds methods that are specific to the hands of NEXTAGE OPEN, accompanied with toolchanger. @deprecated: Since version 0.5.1, the functionality in this class is moved to other BaseHands subclasses (e.g. Iros13Hands)."""
def __init__(self, parent):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseToolchangerHands:
"""This class holds methods that are specific to the hands of NEXTAGE OPEN, accompanied with toolchanger. @deprecated: Since version 0.5.1, the functionality in this class is moved to other BaseHands subclasses (e.g. Iros13Hands)."""
def __init__(self, parent):
"""Since this... | the_stack_v2_python_sparse | robot_con/nxt/nxtlib/base_toolchanger_hands.py | kazuki0824/wrs | train | 1 |
44f771ad2aa9d61407b6fb37a4e9a9cc35dbd7df | [
"if len(s) < k:\n return 0\ncount = collections.Counter(s)\nbefore = 0\nresult = 0\nfor i in range(len(s) + 1):\n if i == len(s) and before == 0:\n return len(s)\n if i == len(s) or count[s[i]] < k:\n current = s[before:i]\n if current:\n result = max(result, self.longestSub... | <|body_start_0|>
if len(s) < k:
return 0
count = collections.Counter(s)
before = 0
result = 0
for i in range(len(s) + 1):
if i == len(s) and before == 0:
return len(s)
if i == len(s) or count[s[i]] < k:
current =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestSubstring(self, s, k):
""":type s: str :type k: int :rtype: int"""
<|body_0|>
def longestSubstring_v2(self, s, k):
""":type s: str :type k: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) < k:
... | stack_v2_sparse_classes_36k_train_021156 | 2,118 | no_license | [
{
"docstring": ":type s: str :type k: int :rtype: int",
"name": "longestSubstring",
"signature": "def longestSubstring(self, s, k)"
},
{
"docstring": ":type s: str :type k: int :rtype: int",
"name": "longestSubstring_v2",
"signature": "def longestSubstring_v2(self, s, k)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021144 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestSubstring(self, s, k): :type s: str :type k: int :rtype: int
- def longestSubstring_v2(self, s, k): :type s: str :type k: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestSubstring(self, s, k): :type s: str :type k: int :rtype: int
- def longestSubstring_v2(self, s, k): :type s: str :type k: int :rtype: int
<|skeleton|>
class Solution:... | d6ddbef76dd8630234f669d272d1f8065c6be128 | <|skeleton|>
class Solution:
def longestSubstring(self, s, k):
""":type s: str :type k: int :rtype: int"""
<|body_0|>
def longestSubstring_v2(self, s, k):
""":type s: str :type k: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestSubstring(self, s, k):
""":type s: str :type k: int :rtype: int"""
if len(s) < k:
return 0
count = collections.Counter(s)
before = 0
result = 0
for i in range(len(s) + 1):
if i == len(s) and before == 0:
... | the_stack_v2_python_sparse | 395. Longest Substring with At Least K Repeating Characters.py | Mang0o/leetcode | train | 0 | |
50ee6c42e5887c920deac350469bf42a47979829 | [
"top_left = Vector(position.x, position.y + size.y)\nbottom_right = Vector(top_left.x + size.x, top_left.y - size.y)\nvertices = [bottom_right.x, bottom_right.y, bottom_right.x, top_left.y, top_left.x, top_left.y, top_left.x, bottom_right.y]\nif texture_coords is None:\n texture_coords = [tex_max, tex_min, tex_m... | <|body_start_0|>
top_left = Vector(position.x, position.y + size.y)
bottom_right = Vector(top_left.x + size.x, top_left.y - size.y)
vertices = [bottom_right.x, bottom_right.y, bottom_right.x, top_left.y, top_left.x, top_left.y, top_left.x, bottom_right.y]
if texture_coords is None:
... | Renderer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Renderer:
def textured_rectangle(batch: pyglet.graphics.Batch, texture_group: pyglet.graphics.TextureGroup, position: Vector, size: Vector, tex_max: float=1.0, tex_min: float=0.0, texture_coords: List[float]=None):
""":param batch: :param texture_group: :param position: bottom left of re... | stack_v2_sparse_classes_36k_train_021157 | 6,334 | no_license | [
{
"docstring": ":param batch: :param texture_group: :param position: bottom left of rectangle :param size: :param tex_max: :param tex_min: :param texture_coords: :return:",
"name": "textured_rectangle",
"signature": "def textured_rectangle(batch: pyglet.graphics.Batch, texture_group: pyglet.graphics.Tex... | 3 | stack_v2_sparse_classes_30k_train_009298 | Implement the Python class `Renderer` described below.
Class description:
Implement the Renderer class.
Method signatures and docstrings:
- def textured_rectangle(batch: pyglet.graphics.Batch, texture_group: pyglet.graphics.TextureGroup, position: Vector, size: Vector, tex_max: float=1.0, tex_min: float=0.0, texture_... | Implement the Python class `Renderer` described below.
Class description:
Implement the Renderer class.
Method signatures and docstrings:
- def textured_rectangle(batch: pyglet.graphics.Batch, texture_group: pyglet.graphics.TextureGroup, position: Vector, size: Vector, tex_max: float=1.0, tex_min: float=0.0, texture_... | 4db01d81b5f153e0bfadd76eab7f7bdc2c53027a | <|skeleton|>
class Renderer:
def textured_rectangle(batch: pyglet.graphics.Batch, texture_group: pyglet.graphics.TextureGroup, position: Vector, size: Vector, tex_max: float=1.0, tex_min: float=0.0, texture_coords: List[float]=None):
""":param batch: :param texture_group: :param position: bottom left of re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Renderer:
def textured_rectangle(batch: pyglet.graphics.Batch, texture_group: pyglet.graphics.TextureGroup, position: Vector, size: Vector, tex_max: float=1.0, tex_min: float=0.0, texture_coords: List[float]=None):
""":param batch: :param texture_group: :param position: bottom left of rectangle :param... | the_stack_v2_python_sparse | tower_defense/graphics.py | henne90gen/tower_defense | train | 1 | |
455a8279a99adf6ea41ac7e11a65df30b753d121 | [
"room_id = kwargs['pk']\nroom = Room.objects.get(id=room_id)\nform = self.get_form()\nif form.is_valid():\n return self.form_valid(form, room)\nelse:\n return self.form_invalid(form)",
"row = form.cleaned_data.get('row')\nseats_quantity = form.cleaned_data.get('seats_quantity')\nfor i in range(1, seats_quan... | <|body_start_0|>
room_id = kwargs['pk']
room = Room.objects.get(id=room_id)
form = self.get_form()
if form.is_valid():
return self.form_valid(form, room)
else:
return self.form_invalid(form)
<|end_body_0|>
<|body_start_1|>
row = form.cleaned_data.... | AddSeatRow | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddSeatRow:
def post(self, request, *args, **kwargs):
"""Handle POST requests: instantiate a form instance with the passed POST variables and then check if it's valid."""
<|body_0|>
def form_valid(self, form, room):
"""If the form is valid, redirect to the supplied U... | stack_v2_sparse_classes_36k_train_021158 | 3,132 | permissive | [
{
"docstring": "Handle POST requests: instantiate a form instance with the passed POST variables and then check if it's valid.",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
},
{
"docstring": "If the form is valid, redirect to the supplied URL.",
"name": "form_vali... | 3 | stack_v2_sparse_classes_30k_train_016849 | Implement the Python class `AddSeatRow` described below.
Class description:
Implement the AddSeatRow class.
Method signatures and docstrings:
- def post(self, request, *args, **kwargs): Handle POST requests: instantiate a form instance with the passed POST variables and then check if it's valid.
- def form_valid(self... | Implement the Python class `AddSeatRow` described below.
Class description:
Implement the AddSeatRow class.
Method signatures and docstrings:
- def post(self, request, *args, **kwargs): Handle POST requests: instantiate a form instance with the passed POST variables and then check if it's valid.
- def form_valid(self... | d417895904c1a12ba2a9d761d7e60be77b7bcac2 | <|skeleton|>
class AddSeatRow:
def post(self, request, *args, **kwargs):
"""Handle POST requests: instantiate a form instance with the passed POST variables and then check if it's valid."""
<|body_0|>
def form_valid(self, form, room):
"""If the form is valid, redirect to the supplied U... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddSeatRow:
def post(self, request, *args, **kwargs):
"""Handle POST requests: instantiate a form instance with the passed POST variables and then check if it's valid."""
room_id = kwargs['pk']
room = Room.objects.get(id=room_id)
form = self.get_form()
if form.is_valid(... | the_stack_v2_python_sparse | ticketflix/room/views.py | DSW-2018-2/Ticketflix | train | 3 | |
016b9740c041f6f6e232d6857acb5954adc8a8d3 | [
"if not rent_item.user:\n return -9999\nweight = 0\nweight += RentAllocationMatrixWeigher._promo_code(rent_item)\nweight += RentAllocationMatrixWeigher._buy_threshold(rent_item)\nweight += RentAllocationMatrixWeigher._trade_threshold(rent_item)\nweight += RentAllocationMatrixWeigher._rental_threshold(rent_item)\... | <|body_start_0|>
if not rent_item.user:
return -9999
weight = 0
weight += RentAllocationMatrixWeigher._promo_code(rent_item)
weight += RentAllocationMatrixWeigher._buy_threshold(rent_item)
weight += RentAllocationMatrixWeigher._trade_threshold(rent_item)
weigh... | RentAllocationMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RentAllocationMatrix:
def calculate_weight(rent_item):
"""Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance"... | stack_v2_sparse_classes_36k_train_021159 | 8,068 | no_license | [
{
"docstring": "Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance",
"name": "calculate_weight",
"signature": "def calculate_... | 2 | null | Implement the Python class `RentAllocationMatrix` described below.
Class description:
Implement the RentAllocationMatrix class.
Method signatures and docstrings:
- def calculate_weight(rent_item): Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_c... | Implement the Python class `RentAllocationMatrix` described below.
Class description:
Implement the RentAllocationMatrix class.
Method signatures and docstrings:
- def calculate_weight(rent_item): Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_c... | 7c3acc39a24c38ae2ee06b71104a24cfbbde8453 | <|skeleton|>
class RentAllocationMatrix:
def calculate_weight(rent_item):
"""Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RentAllocationMatrix:
def calculate_weight(rent_item):
"""Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance"""
if ... | the_stack_v2_python_sparse | project/rent/allocation_matrix.py | chrisblythe812/gamemine | train | 1 | |
c3e3a17c7372f57758639d672960ab9959474087 | [
"cmd = ['python']\nif unbuffered:\n cmd.append('-u')\ncmd.append(script)\nreturn self.m.step(name, cmd + list(args or []), **kwargs)",
"program = textwrap.dedent(program)\ncompile(program, '<string>', 'exec', dont_inherit=1)\ntry:\n self(name, self.m.raw_io.input(program, '.py'), **kwargs)\nfinally:\n re... | <|body_start_0|>
cmd = ['python']
if unbuffered:
cmd.append('-u')
cmd.append(script)
return self.m.step(name, cmd + list(args or []), **kwargs)
<|end_body_0|>
<|body_start_1|>
program = textwrap.dedent(program)
compile(program, '<string>', 'exec', dont_inheri... | PythonApi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PythonApi:
def __call__(self, name, script, args=None, unbuffered=True, **kwargs):
"""Return a step to run a python script with arguments."""
<|body_0|>
def inline(self, name, program, add_python_log=True, **kwargs):
"""Run an inline python program as a step. Program... | stack_v2_sparse_classes_36k_train_021160 | 1,514 | no_license | [
{
"docstring": "Return a step to run a python script with arguments.",
"name": "__call__",
"signature": "def __call__(self, name, script, args=None, unbuffered=True, **kwargs)"
},
{
"docstring": "Run an inline python program as a step. Program is output to a temp file and run when this step exec... | 3 | null | Implement the Python class `PythonApi` described below.
Class description:
Implement the PythonApi class.
Method signatures and docstrings:
- def __call__(self, name, script, args=None, unbuffered=True, **kwargs): Return a step to run a python script with arguments.
- def inline(self, name, program, add_python_log=Tr... | Implement the Python class `PythonApi` described below.
Class description:
Implement the PythonApi class.
Method signatures and docstrings:
- def __call__(self, name, script, args=None, unbuffered=True, **kwargs): Return a step to run a python script with arguments.
- def inline(self, name, program, add_python_log=Tr... | 237c7e2c8fd3cf632f3bcdc9cc5da2d47ea7f153 | <|skeleton|>
class PythonApi:
def __call__(self, name, script, args=None, unbuffered=True, **kwargs):
"""Return a step to run a python script with arguments."""
<|body_0|>
def inline(self, name, program, add_python_log=True, **kwargs):
"""Run an inline python program as a step. Program... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PythonApi:
def __call__(self, name, script, args=None, unbuffered=True, **kwargs):
"""Return a step to run a python script with arguments."""
cmd = ['python']
if unbuffered:
cmd.append('-u')
cmd.append(script)
return self.m.step(name, cmd + list(args or []),... | the_stack_v2_python_sparse | scripts/slave/recipe_modules/python/api.py | bopopescu/build_internal | train | 0 | |
8fb1c65061fa08f4f637af5618feb1ee1c532255 | [
"if not structure.is_ordered:\n raise ValueError('ASE Atoms only supports ordered structures')\nsymbols = [str(site.specie.symbol) for site in structure]\npositions = [site.coords for site in structure]\ncell = structure.lattice.matrix\nreturn Atoms(symbols=symbols, positions=positions, pbc=True, cell=cell, **kw... | <|body_start_0|>
if not structure.is_ordered:
raise ValueError('ASE Atoms only supports ordered structures')
symbols = [str(site.specie.symbol) for site in structure]
positions = [site.coords for site in structure]
cell = structure.lattice.matrix
return Atoms(symbols=... | Adaptor serves as a bridge between ASE Atoms and pymatgen structure. | AseAtomsAdaptor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AseAtomsAdaptor:
"""Adaptor serves as a bridge between ASE Atoms and pymatgen structure."""
def get_atoms(structure, **kwargs):
"""Returns ASE Atoms object from pymatgen structure. Args: structure: pymatgen.core.structure.Structure **kwargs: other keyword args to pass into the ASE At... | stack_v2_sparse_classes_36k_train_021161 | 2,031 | permissive | [
{
"docstring": "Returns ASE Atoms object from pymatgen structure. Args: structure: pymatgen.core.structure.Structure **kwargs: other keyword args to pass into the ASE Atoms constructor Returns: ASE Atoms object",
"name": "get_atoms",
"signature": "def get_atoms(structure, **kwargs)"
},
{
"docstr... | 2 | null | Implement the Python class `AseAtomsAdaptor` described below.
Class description:
Adaptor serves as a bridge between ASE Atoms and pymatgen structure.
Method signatures and docstrings:
- def get_atoms(structure, **kwargs): Returns ASE Atoms object from pymatgen structure. Args: structure: pymatgen.core.structure.Struc... | Implement the Python class `AseAtomsAdaptor` described below.
Class description:
Adaptor serves as a bridge between ASE Atoms and pymatgen structure.
Method signatures and docstrings:
- def get_atoms(structure, **kwargs): Returns ASE Atoms object from pymatgen structure. Args: structure: pymatgen.core.structure.Struc... | 62ecae1c7382a41861e3a5d9b9c8dd1207472409 | <|skeleton|>
class AseAtomsAdaptor:
"""Adaptor serves as a bridge between ASE Atoms and pymatgen structure."""
def get_atoms(structure, **kwargs):
"""Returns ASE Atoms object from pymatgen structure. Args: structure: pymatgen.core.structure.Structure **kwargs: other keyword args to pass into the ASE At... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AseAtomsAdaptor:
"""Adaptor serves as a bridge between ASE Atoms and pymatgen structure."""
def get_atoms(structure, **kwargs):
"""Returns ASE Atoms object from pymatgen structure. Args: structure: pymatgen.core.structure.Structure **kwargs: other keyword args to pass into the ASE Atoms construct... | the_stack_v2_python_sparse | pymatgen/io/ase.py | montoyjh/pymatgen | train | 2 |
ce32b15ea03e11064a2f4ac2212e74a0e50bda54 | [
"filepaths = []\nfor filename in cls.xml_filenames:\n filepath = os.path.join(cls._OUTPUT_SUBFOLDER, f'{cls._PREFIX}_{cls._CP_WRITE_UNIT_NUMBER}.save', filename)\n filepaths.append(filepath)\nreturn filepaths",
"super().define(spec)\nspec.input('metadata.options.parser_name', valid_type=str, default='quantu... | <|body_start_0|>
filepaths = []
for filename in cls.xml_filenames:
filepath = os.path.join(cls._OUTPUT_SUBFOLDER, f'{cls._PREFIX}_{cls._CP_WRITE_UNIT_NUMBER}.save', filename)
filepaths.append(filepath)
return filepaths
<|end_body_0|>
<|body_start_1|>
super().defi... | `CalcJob` implementation for the cp.x code of Quantum ESPRESSO. | CpCalculation | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CpCalculation:
"""`CalcJob` implementation for the cp.x code of Quantum ESPRESSO."""
def xml_filepaths(cls):
"""Return a list of relative filepaths of XML files."""
<|body_0|>
def define(cls, spec):
"""Define the process specification."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_021162 | 6,243 | permissive | [
{
"docstring": "Return a list of relative filepaths of XML files.",
"name": "xml_filepaths",
"signature": "def xml_filepaths(cls)"
},
{
"docstring": "Define the process specification.",
"name": "define",
"signature": "def define(cls, spec)"
},
{
"docstring": "Parse CP specific in... | 3 | stack_v2_sparse_classes_30k_train_005784 | Implement the Python class `CpCalculation` described below.
Class description:
`CalcJob` implementation for the cp.x code of Quantum ESPRESSO.
Method signatures and docstrings:
- def xml_filepaths(cls): Return a list of relative filepaths of XML files.
- def define(cls, spec): Define the process specification.
- def ... | Implement the Python class `CpCalculation` described below.
Class description:
`CalcJob` implementation for the cp.x code of Quantum ESPRESSO.
Method signatures and docstrings:
- def xml_filepaths(cls): Return a list of relative filepaths of XML files.
- def define(cls, spec): Define the process specification.
- def ... | 7263f92ccabcfc9f828b9da5473e1aefbc4b8eca | <|skeleton|>
class CpCalculation:
"""`CalcJob` implementation for the cp.x code of Quantum ESPRESSO."""
def xml_filepaths(cls):
"""Return a list of relative filepaths of XML files."""
<|body_0|>
def define(cls, spec):
"""Define the process specification."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CpCalculation:
"""`CalcJob` implementation for the cp.x code of Quantum ESPRESSO."""
def xml_filepaths(cls):
"""Return a list of relative filepaths of XML files."""
filepaths = []
for filename in cls.xml_filenames:
filepath = os.path.join(cls._OUTPUT_SUBFOLDER, f'{cls.... | the_stack_v2_python_sparse | src/aiida_quantumespresso/calculations/cp.py | aiidateam/aiida-quantumespresso | train | 56 |
294a01b88176af7806c788a0138eabd12a3e5e99 | [
"self.input_dim = input_dim\nself.output_dim = input_dim\nself.mean = None\nself.covariance_matrix = None\nself.standard_deviation = None\nself.trained = False",
"if self.input_dim != data.shape[1]:\n raise ValueError('Wrong data dimensionality.')\nself.mean = numx.mean(data, axis=0).reshape(1, data.shape[1])\... | <|body_start_0|>
self.input_dim = input_dim
self.output_dim = input_dim
self.mean = None
self.covariance_matrix = None
self.standard_deviation = None
self.trained = False
<|end_body_0|>
<|body_start_1|>
if self.input_dim != data.shape[1]:
raise ValueE... | Shifts the data having zero mean and scales it having unit variances along the axis. | STANDARIZER | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class STANDARIZER:
"""Shifts the data having zero mean and scales it having unit variances along the axis."""
def __init__(self, input_dim):
"""Constructor. :param input_dim: Data dimensionality. :type input_dim: int"""
<|body_0|>
def train(self, data):
"""Training the... | stack_v2_sparse_classes_36k_train_021163 | 13,683 | no_license | [
{
"docstring": "Constructor. :param input_dim: Data dimensionality. :type input_dim: int",
"name": "__init__",
"signature": "def __init__(self, input_dim)"
},
{
"docstring": "Training the model (full batch). :param data: Data for training. :type data: numpy array [num data point, data dimension]... | 4 | stack_v2_sparse_classes_30k_val_000210 | Implement the Python class `STANDARIZER` described below.
Class description:
Shifts the data having zero mean and scales it having unit variances along the axis.
Method signatures and docstrings:
- def __init__(self, input_dim): Constructor. :param input_dim: Data dimensionality. :type input_dim: int
- def train(self... | Implement the Python class `STANDARIZER` described below.
Class description:
Shifts the data having zero mean and scales it having unit variances along the axis.
Method signatures and docstrings:
- def __init__(self, input_dim): Constructor. :param input_dim: Data dimensionality. :type input_dim: int
- def train(self... | 997879373110b2ee69fba921d46a309443c8e374 | <|skeleton|>
class STANDARIZER:
"""Shifts the data having zero mean and scales it having unit variances along the axis."""
def __init__(self, input_dim):
"""Constructor. :param input_dim: Data dimensionality. :type input_dim: int"""
<|body_0|>
def train(self, data):
"""Training the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class STANDARIZER:
"""Shifts the data having zero mean and scales it having unit variances along the axis."""
def __init__(self, input_dim):
"""Constructor. :param input_dim: Data dimensionality. :type input_dim: int"""
self.input_dim = input_dim
self.output_dim = input_dim
self... | the_stack_v2_python_sparse | pydeep/preprocessing.py | MelJan/PyDeep | train | 50 |
b22daa7f7a70b6536b155a86a2f36f8e9cdb12e0 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn Acl()",
"from .access_type import AccessType\nfrom .acl_type import AclType\nfrom .access_type import AccessType\nfrom .acl_type import AclType\nfields: Dict[str, Callable[[Any], None]] = {'accessType': lambda n: setattr(self, 'access_... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return Acl()
<|end_body_0|>
<|body_start_1|>
from .access_type import AccessType
from .acl_type import AclType
from .access_type import AccessType
from .acl_type import AclType
... | Acl | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Acl:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Acl:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Acl"""
<|b... | stack_v2_sparse_classes_36k_train_021164 | 3,338 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Acl",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(parse_nod... | 3 | null | Implement the Python class `Acl` described below.
Class description:
Implement the Acl class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Acl: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse n... | Implement the Python class `Acl` described below.
Class description:
Implement the Acl class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Acl: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse n... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class Acl:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Acl:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Acl"""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Acl:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Acl:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Acl"""
if not parse_node... | the_stack_v2_python_sparse | msgraph/generated/models/external_connectors/acl.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
02b31d88c8a36a5182eadce04f9ea031272cad49 | [
"super(CBFocalLoss, self).__init__()\nself.beta = beta\nself.gamma = gamma\nself._nums = torch.zeros(len(class_num))\nself.sub_beta = torch.zeros(len(class_num))\nfor i in range(len(class_num)):\n self._nums[i] = class_num[i]\n self.sub_beta[i] = (1 - self.beta) / (1 - math.pow(self.beta, class_num[i]))\nself... | <|body_start_0|>
super(CBFocalLoss, self).__init__()
self.beta = beta
self.gamma = gamma
self._nums = torch.zeros(len(class_num))
self.sub_beta = torch.zeros(len(class_num))
for i in range(len(class_num)):
self._nums[i] = class_num[i]
self.sub_beta... | Class Balanced Focal Loss | CBFocalLoss | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CBFocalLoss:
"""Class Balanced Focal Loss"""
def __init__(self, class_num: typing.List[int], beta: float=0.99, gamma: float=2.0, reduction: str='mean'):
"""初始化函数 :param class_num: list类型，表示每种类别对应的样本数，从0开始 :param beta: 表示有效样本数占总样本数的比例，一般选择[0.999, 0.99, 0.9] :param gamma: 表示平衡指数 :param... | stack_v2_sparse_classes_36k_train_021165 | 2,437 | no_license | [
{
"docstring": "初始化函数 :param class_num: list类型，表示每种类别对应的样本数，从0开始 :param beta: 表示有效样本数占总样本数的比例，一般选择[0.999, 0.99, 0.9] :param gamma: 表示平衡指数 :param reduction: 可选`mean`和`sum`",
"name": "__init__",
"signature": "def __init__(self, class_num: typing.List[int], beta: float=0.99, gamma: float=2.0, reduction: st... | 2 | stack_v2_sparse_classes_30k_train_008871 | Implement the Python class `CBFocalLoss` described below.
Class description:
Class Balanced Focal Loss
Method signatures and docstrings:
- def __init__(self, class_num: typing.List[int], beta: float=0.99, gamma: float=2.0, reduction: str='mean'): 初始化函数 :param class_num: list类型，表示每种类别对应的样本数，从0开始 :param beta: 表示有效样本数占总... | Implement the Python class `CBFocalLoss` described below.
Class description:
Class Balanced Focal Loss
Method signatures and docstrings:
- def __init__(self, class_num: typing.List[int], beta: float=0.99, gamma: float=2.0, reduction: str='mean'): 初始化函数 :param class_num: list类型，表示每种类别对应的样本数，从0开始 :param beta: 表示有效样本数占总... | aaeeed86341356d9fd061664f6f7bccf2ac353d0 | <|skeleton|>
class CBFocalLoss:
"""Class Balanced Focal Loss"""
def __init__(self, class_num: typing.List[int], beta: float=0.99, gamma: float=2.0, reduction: str='mean'):
"""初始化函数 :param class_num: list类型，表示每种类别对应的样本数，从0开始 :param beta: 表示有效样本数占总样本数的比例，一般选择[0.999, 0.99, 0.9] :param gamma: 表示平衡指数 :param... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CBFocalLoss:
"""Class Balanced Focal Loss"""
def __init__(self, class_num: typing.List[int], beta: float=0.99, gamma: float=2.0, reduction: str='mean'):
"""初始化函数 :param class_num: list类型，表示每种类别对应的样本数，从0开始 :param beta: 表示有效样本数占总样本数的比例，一般选择[0.999, 0.99, 0.9] :param gamma: 表示平衡指数 :param reduction: 可... | the_stack_v2_python_sparse | src/losses/cb_focal_loss.py | jessie0624/nlp-task | train | 0 |
5242f7cee917ad5ba54d93b816adc91da09ae43b | [
"def dfs(root):\n if not root:\n return ''\n left = dfs(root.left)\n right = dfs(root.right)\n return left + ',' + right + ',' + str(root.val)\nreturn dfs(root)",
"data = [int(x) for x in data.split(',')]\n\ndef helper(lower=float('-inf'), upper=float('+inf')):\n if not data or data[-1] < lo... | <|body_start_0|>
def dfs(root):
if not root:
return ''
left = dfs(root.left)
right = dfs(root.right)
return left + ',' + right + ',' + str(root.val)
return dfs(root)
<|end_body_0|>
<|body_start_1|>
data = [int(x) for x in data.spli... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def dfs(root):... | stack_v2_sparse_classes_36k_train_021166 | 955 | 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 | stack_v2_sparse_classes_30k_train_019705 | 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... | 0566622daa5849f7deb0cfdc6de2282fb3127f4c | <|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."""
def dfs(root):
if not root:
return ''
left = dfs(root.left)
right = dfs(root.right)
return left + ',' + right + ',' + str(root.val)
... | the_stack_v2_python_sparse | python/树/449. 序列化和反序列化二叉搜索树.py | Weless/leetcode | train | 0 | |
56b771852fe4bc8ae307c38408e1efeaf1fbcee8 | [
"layer = [root]\nres = []\nwhile layer:\n next_layer = []\n for x in layer:\n if x:\n next_layer += [x.left, x.right]\n temp = [x.val if x else None for x in layer]\n res += temp\n layer = next_layer\nreturn str(res)",
"l = eval(data)\nroot = TreeNode(l[0]) if l[0] != None else No... | <|body_start_0|>
layer = [root]
res = []
while layer:
next_layer = []
for x in layer:
if x:
next_layer += [x.left, x.right]
temp = [x.val if x else None for x in layer]
res += temp
layer = next_layer
... | 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_021167 | 1,570 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | e5dd213411b5c82b07171c3adf4556dcf9c44207 | <|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"""
layer = [root]
res = []
while layer:
next_layer = []
for x in layer:
if x:
next_layer += [x.left, x.right]
... | the_stack_v2_python_sparse | python/449.serialize-and-deserialize-bst.py | songzy12/LeetCode | train | 4 | |
ac03b07363e0644afe73ddc8348c18d9a3582ffa | [
"super(TestPmd, self).__init__()\nself.host = host\nself.ssh_prompt = self.host.config.get('cli_user_prompt', self.host.config.get('ssh_user', 'root') + '@')\nself.interactive_prompt = 'testpmd>'\nself.non_interactive_prompt = 'Press enter to exit'\nself.interactive = False\nself.run_status = False",
"inserts = r... | <|body_start_0|>
super(TestPmd, self).__init__()
self.host = host
self.ssh_prompt = self.host.config.get('cli_user_prompt', self.host.config.get('ssh_user', 'root') + '@')
self.interactive_prompt = 'testpmd>'
self.non_interactive_prompt = 'Press enter to exit'
self.intera... | TestPmd | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPmd:
def __init__(self, host):
"""Initialize TestPmd class."""
<|body_0|>
def start(self, interactive_shell=True, end_options='', timeout=10, **kwargs):
"""Start testpmd tool. Args: interactive_shell(bool): Interactive shell flag end_options(str): Arguments to be... | stack_v2_sparse_classes_36k_train_021168 | 5,825 | permissive | [
{
"docstring": "Initialize TestPmd class.",
"name": "__init__",
"signature": "def __init__(self, host)"
},
{
"docstring": "Start testpmd tool. Args: interactive_shell(bool): Interactive shell flag end_options(str): Arguments to be passed after '--' in command line timeout(int): Timeout kwargs(di... | 4 | stack_v2_sparse_classes_30k_train_008249 | Implement the Python class `TestPmd` described below.
Class description:
Implement the TestPmd class.
Method signatures and docstrings:
- def __init__(self, host): Initialize TestPmd class.
- def start(self, interactive_shell=True, end_options='', timeout=10, **kwargs): Start testpmd tool. Args: interactive_shell(boo... | Implement the Python class `TestPmd` described below.
Class description:
Implement the TestPmd class.
Method signatures and docstrings:
- def __init__(self, host): Initialize TestPmd class.
- def start(self, interactive_shell=True, end_options='', timeout=10, **kwargs): Start testpmd tool. Args: interactive_shell(boo... | 2007bf3fe66edfe704e485141c55caed54fe13aa | <|skeleton|>
class TestPmd:
def __init__(self, host):
"""Initialize TestPmd class."""
<|body_0|>
def start(self, interactive_shell=True, end_options='', timeout=10, **kwargs):
"""Start testpmd tool. Args: interactive_shell(bool): Interactive shell flag end_options(str): Arguments to be... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestPmd:
def __init__(self, host):
"""Initialize TestPmd class."""
super(TestPmd, self).__init__()
self.host = host
self.ssh_prompt = self.host.config.get('cli_user_prompt', self.host.config.get('ssh_user', 'root') + '@')
self.interactive_prompt = 'testpmd>'
sel... | the_stack_v2_python_sparse | taf/testlib/linux/testpmd.py | AndriyZabavskyy/taf | train | 0 | |
8202b65efd2e9414410d73fc04decc39c5fd5749 | [
"if not graph.is_directed():\n raise ValueError('the graph is not directed')\nself.graph = graph\nself.distance = dict()\nself.parent = dict()\nfor source in self.graph.iternodes():\n self.distance[source] = dict()\n self.parent[source] = dict()\n for target in self.graph.iternodes():\n self.dist... | <|body_start_0|>
if not graph.is_directed():
raise ValueError('the graph is not directed')
self.graph = graph
self.distance = dict()
self.parent = dict()
for source in self.graph.iternodes():
self.distance[source] = dict()
self.parent[source] =... | The Floyd-Warshall algorithm with path reconstruction. Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph parent : dict-of-dict distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graphtheory.structures.graphs import Graph >>> from... | FloydWarshallPaths | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FloydWarshallPaths:
"""The Floyd-Warshall algorithm with path reconstruction. Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph parent : dict-of-dict distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graph... | stack_v2_sparse_classes_36k_train_021169 | 7,754 | permissive | [
{
"docstring": "The algorithm initialization. Parameters ---------- graph : directed weighted graph",
"name": "__init__",
"signature": "def __init__(self, graph)"
},
{
"docstring": "Finding all shortest paths.",
"name": "run",
"signature": "def run(self)"
},
{
"docstring": "Path ... | 3 | stack_v2_sparse_classes_30k_train_000016 | Implement the Python class `FloydWarshallPaths` described below.
Class description:
The Floyd-Warshall algorithm with path reconstruction. Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph parent : dict-of-dict distance : dict-of-dict Examples -------- >>> from graphtheory.stru... | Implement the Python class `FloydWarshallPaths` described below.
Class description:
The Floyd-Warshall algorithm with path reconstruction. Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph parent : dict-of-dict distance : dict-of-dict Examples -------- >>> from graphtheory.stru... | 0ff4ae303e8824e6bb8474d23b29a7b3e5ed8e60 | <|skeleton|>
class FloydWarshallPaths:
"""The Floyd-Warshall algorithm with path reconstruction. Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph parent : dict-of-dict distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graph... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FloydWarshallPaths:
"""The Floyd-Warshall algorithm with path reconstruction. Negative cycles are forbidden. Attributes ---------- graph : input directed weighted graph parent : dict-of-dict distance : dict-of-dict Examples -------- >>> from graphtheory.structures.edges import Edge >>> from graphtheory.struct... | the_stack_v2_python_sparse | graphtheory/shortestpaths/floydwarshall.py | kgashok/graphs-dict | train | 0 |
02f641620c415a80ffa88f365a8b52e7e2312965 | [
"super().__init__(logger)\nself.mappings = {'code_to_type': Container(logger), 'type_to_codes': Container(logger)}\nfor entry in FileHandler(logger, filename):\n slot_type_code = entry.get('slot_type_code')\n slot_type = entry.get('slot_type')\n if slot_type_code in self.get('mappings').get('code_to_type')... | <|body_start_0|>
super().__init__(logger)
self.mappings = {'code_to_type': Container(logger), 'type_to_codes': Container(logger)}
for entry in FileHandler(logger, filename):
slot_type_code = entry.get('slot_type_code')
slot_type = entry.get('slot_type')
if slo... | Slots used to map between LDC's internal code for a slot, and its corresponding external slot name. | SlotMappings | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SlotMappings:
"""Slots used to map between LDC's internal code for a slot, and its corresponding external slot name."""
def __init__(self, logger, filename):
"""Initialize the slots object. Parameters: logger (logger): the logger object filename (str): the name of the file containing... | stack_v2_sparse_classes_36k_train_021170 | 3,334 | no_license | [
{
"docstring": "Initialize the slots object. Parameters: logger (logger): the logger object filename (str): the name of the file containing mappings between LDC internal slot code, and external slot name. The file contains tab separated values with header in first line. For example, slot_type_code slot_type evt... | 3 | stack_v2_sparse_classes_30k_train_014950 | Implement the Python class `SlotMappings` described below.
Class description:
Slots used to map between LDC's internal code for a slot, and its corresponding external slot name.
Method signatures and docstrings:
- def __init__(self, logger, filename): Initialize the slots object. Parameters: logger (logger): the logg... | Implement the Python class `SlotMappings` described below.
Class description:
Slots used to map between LDC's internal code for a slot, and its corresponding external slot name.
Method signatures and docstrings:
- def __init__(self, logger, filename): Initialize the slots object. Parameters: logger (logger): the logg... | a0b379ba0e78e8e5eceeda465f75bba5c288aea4 | <|skeleton|>
class SlotMappings:
"""Slots used to map between LDC's internal code for a slot, and its corresponding external slot name."""
def __init__(self, logger, filename):
"""Initialize the slots object. Parameters: logger (logger): the logger object filename (str): the name of the file containing... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SlotMappings:
"""Slots used to map between LDC's internal code for a slot, and its corresponding external slot name."""
def __init__(self, logger, filename):
"""Initialize the slots object. Parameters: logger (logger): the logger object filename (str): the name of the file containing mappings bet... | the_stack_v2_python_sparse | python/aida/slot_mappings.py | shahraj81/aida | train | 8 |
317339788e33b0306418d361215735dcf96ebca5 | [
"isPalindrome = lambda s: s == s[::-1]\nremove1Char_index = lambda s, i: s[:i] + s[i + 1:]\nl, r = (0, len(s) - 1)\nwhile l < r:\n if s[l] != s[r]:\n leftpart = remove1Char_index(s, l)\n rightpart = remove1Char_index(s, r)\n return isPalindrome(leftpart) or isPalindrome(rightpart)\n l += ... | <|body_start_0|>
isPalindrome = lambda s: s == s[::-1]
remove1Char_index = lambda s, i: s[:i] + s[i + 1:]
l, r = (0, len(s) - 1)
while l < r:
if s[l] != s[r]:
leftpart = remove1Char_index(s, l)
rightpart = remove1Char_index(s, r)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def validPalindrome(self, s):
""":type s: str :rtype: bool"""
<|body_0|>
def validPalindrome1(self, s):
""":type s: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
isPalindrome = lambda s: s == s[::-1]
remove1Char_... | stack_v2_sparse_classes_36k_train_021171 | 1,077 | no_license | [
{
"docstring": ":type s: str :rtype: bool",
"name": "validPalindrome",
"signature": "def validPalindrome(self, s)"
},
{
"docstring": ":type s: str :rtype: bool",
"name": "validPalindrome1",
"signature": "def validPalindrome1(self, s)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def validPalindrome(self, s): :type s: str :rtype: bool
- def validPalindrome1(self, s): :type s: str :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def validPalindrome(self, s): :type s: str :rtype: bool
- def validPalindrome1(self, s): :type s: str :rtype: bool
<|skeleton|>
class Solution:
def validPalindrome(self, s)... | a0f270c1adce25be11df92877813037f2e73e28b | <|skeleton|>
class Solution:
def validPalindrome(self, s):
""":type s: str :rtype: bool"""
<|body_0|>
def validPalindrome1(self, s):
""":type s: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def validPalindrome(self, s):
""":type s: str :rtype: bool"""
isPalindrome = lambda s: s == s[::-1]
remove1Char_index = lambda s, i: s[:i] + s[i + 1:]
l, r = (0, len(s) - 1)
while l < r:
if s[l] != s[r]:
leftpart = remove1Char_index... | the_stack_v2_python_sparse | leetcode/680_valid_palindrome_II.py | lvraikkonen/GoodCode | train | 0 | |
f5de3d01daea97ef24139abb88537b7e0c1b30ad | [
"self.enable_lambda_based_gc = enable_lambda_based_gc\nself.lambda_function_version = lambda_function_version\nself.tier_type = tier_type\nself.worm_enabled = worm_enabled",
"if dictionary is None:\n return None\nenable_lambda_based_gc = dictionary.get('enableLambdaBasedGc')\nlambda_function_version = dictiona... | <|body_start_0|>
self.enable_lambda_based_gc = enable_lambda_based_gc
self.lambda_function_version = lambda_function_version
self.tier_type = tier_type
self.worm_enabled = worm_enabled
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
enable_... | Implementation of the 'ClusterConfigProto_Vault_CloudProperties_AzureProperties' model. TODO: type description here. Attributes: enable_lambda_based_gc (bool): Whether this vault supports Azure function based GC. An Azure function needs to be deployed in the customer's Azure environment. lambda_function_version (int): ... | ClusterConfigProto_Vault_CloudProperties_AzureProperties | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClusterConfigProto_Vault_CloudProperties_AzureProperties:
"""Implementation of the 'ClusterConfigProto_Vault_CloudProperties_AzureProperties' model. TODO: type description here. Attributes: enable_lambda_based_gc (bool): Whether this vault supports Azure function based GC. An Azure function needs... | stack_v2_sparse_classes_36k_train_021172 | 2,887 | permissive | [
{
"docstring": "Constructor for the ClusterConfigProto_Vault_CloudProperties_AzureProperties class",
"name": "__init__",
"signature": "def __init__(self, enable_lambda_based_gc=None, lambda_function_version=None, tier_type=None, worm_enabled=None)"
},
{
"docstring": "Creates an instance of this ... | 2 | stack_v2_sparse_classes_30k_train_020805 | Implement the Python class `ClusterConfigProto_Vault_CloudProperties_AzureProperties` described below.
Class description:
Implementation of the 'ClusterConfigProto_Vault_CloudProperties_AzureProperties' model. TODO: type description here. Attributes: enable_lambda_based_gc (bool): Whether this vault supports Azure fun... | Implement the Python class `ClusterConfigProto_Vault_CloudProperties_AzureProperties` described below.
Class description:
Implementation of the 'ClusterConfigProto_Vault_CloudProperties_AzureProperties' model. TODO: type description here. Attributes: enable_lambda_based_gc (bool): Whether this vault supports Azure fun... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ClusterConfigProto_Vault_CloudProperties_AzureProperties:
"""Implementation of the 'ClusterConfigProto_Vault_CloudProperties_AzureProperties' model. TODO: type description here. Attributes: enable_lambda_based_gc (bool): Whether this vault supports Azure function based GC. An Azure function needs... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClusterConfigProto_Vault_CloudProperties_AzureProperties:
"""Implementation of the 'ClusterConfigProto_Vault_CloudProperties_AzureProperties' model. TODO: type description here. Attributes: enable_lambda_based_gc (bool): Whether this vault supports Azure function based GC. An Azure function needs to be deploy... | the_stack_v2_python_sparse | cohesity_management_sdk/models/cluster_config_proto_vault_cloud_properties_azure_properties.py | cohesity/management-sdk-python | train | 24 |
b2335e57994164743df1ac49174db7bd7d9e9c54 | [
"SeleniumService.__init__(self)\nself.engine = 'duckduckgo'\nself.URLBASE = 'http://duckduckgo.com/html?'",
"params = {'q': query, 'kl': 'pl-pl'}\nbrowser_url = '{}{}'.format(self.URLBASE, urlencode(params))\nself.load_page(browser_url)\ntitles = self.get_page_elements_by_class('result__title')\nurls = self.get_p... | <|body_start_0|>
SeleniumService.__init__(self)
self.engine = 'duckduckgo'
self.URLBASE = 'http://duckduckgo.com/html?'
<|end_body_0|>
<|body_start_1|>
params = {'q': query, 'kl': 'pl-pl'}
browser_url = '{}{}'.format(self.URLBASE, urlencode(params))
self.load_page(browse... | Specialized service for scraping duckduckgo.com search engine | DuckDuckGoService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DuckDuckGoService:
"""Specialized service for scraping duckduckgo.com search engine"""
def __init__(self):
"""Initialize virtual browser and set correct url base"""
<|body_0|>
def process_query(self, query):
"""Process query and return all titles and snippets in ... | stack_v2_sparse_classes_36k_train_021173 | 8,761 | permissive | [
{
"docstring": "Initialize virtual browser and set correct url base",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Process query and return all titles and snippets in one list Arguments: query -- query that we want to answer",
"name": "process_query",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_019298 | Implement the Python class `DuckDuckGoService` described below.
Class description:
Specialized service for scraping duckduckgo.com search engine
Method signatures and docstrings:
- def __init__(self): Initialize virtual browser and set correct url base
- def process_query(self, query): Process query and return all ti... | Implement the Python class `DuckDuckGoService` described below.
Class description:
Specialized service for scraping duckduckgo.com search engine
Method signatures and docstrings:
- def __init__(self): Initialize virtual browser and set correct url base
- def process_query(self, query): Process query and return all ti... | af03252e19075feec3fa478fa271ea3ae8cf8d11 | <|skeleton|>
class DuckDuckGoService:
"""Specialized service for scraping duckduckgo.com search engine"""
def __init__(self):
"""Initialize virtual browser and set correct url base"""
<|body_0|>
def process_query(self, query):
"""Process query and return all titles and snippets in ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DuckDuckGoService:
"""Specialized service for scraping duckduckgo.com search engine"""
def __init__(self):
"""Initialize virtual browser and set correct url base"""
SeleniumService.__init__(self)
self.engine = 'duckduckgo'
self.URLBASE = 'http://duckduckgo.com/html?'
... | the_stack_v2_python_sparse | services/SeleniumServices.py | kubasikora/WEDT-Projekt | train | 0 |
cd9aaae27ac8885e03fe3de25078bc4c80ae173e | [
"match = self.rx_interface_name.match(s)\nif not match:\n raise InterfaceTypeError(\"Invalid interface '%s'\" % s)\nt = match.group(1)[:2]\nif t.lower() == 'bu':\n t = 'BE'\nreturn '%s%s' % (t, match.group(2))",
"me = ' %s'\nmne = ' %s le %d'\nr = []\nfor prefix, min_len, max_len in pl:\n if min_len == m... | <|body_start_0|>
match = self.rx_interface_name.match(s)
if not match:
raise InterfaceTypeError("Invalid interface '%s'" % s)
t = match.group(1)[:2]
if t.lower() == 'bu':
t = 'BE'
return '%s%s' % (t, match.group(2))
<|end_body_0|>
<|body_start_1|>
... | Profile | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Profile:
def convert_interface_name(self, s):
"""MgmtEth0/1/CPU0/0 GigabitEthernet0/2/0/0.1000 Te0/0/1/3 Bundle-Ether1.5011035 Bundle-Ether1.10231016.ip18484"""
<|body_0|>
def generate_prefix_list(self, name, pl):
"""Generate prefix list _name_. pl is a list of (pref... | stack_v2_sparse_classes_36k_train_021174 | 2,215 | permissive | [
{
"docstring": "MgmtEth0/1/CPU0/0 GigabitEthernet0/2/0/0.1000 Te0/0/1/3 Bundle-Ether1.5011035 Bundle-Ether1.10231016.ip18484",
"name": "convert_interface_name",
"signature": "def convert_interface_name(self, s)"
},
{
"docstring": "Generate prefix list _name_. pl is a list of (prefix, min_len, ma... | 2 | stack_v2_sparse_classes_30k_train_006383 | Implement the Python class `Profile` described below.
Class description:
Implement the Profile class.
Method signatures and docstrings:
- def convert_interface_name(self, s): MgmtEth0/1/CPU0/0 GigabitEthernet0/2/0/0.1000 Te0/0/1/3 Bundle-Ether1.5011035 Bundle-Ether1.10231016.ip18484
- def generate_prefix_list(self, n... | Implement the Python class `Profile` described below.
Class description:
Implement the Profile class.
Method signatures and docstrings:
- def convert_interface_name(self, s): MgmtEth0/1/CPU0/0 GigabitEthernet0/2/0/0.1000 Te0/0/1/3 Bundle-Ether1.5011035 Bundle-Ether1.10231016.ip18484
- def generate_prefix_list(self, n... | aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb | <|skeleton|>
class Profile:
def convert_interface_name(self, s):
"""MgmtEth0/1/CPU0/0 GigabitEthernet0/2/0/0.1000 Te0/0/1/3 Bundle-Ether1.5011035 Bundle-Ether1.10231016.ip18484"""
<|body_0|>
def generate_prefix_list(self, name, pl):
"""Generate prefix list _name_. pl is a list of (pref... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Profile:
def convert_interface_name(self, s):
"""MgmtEth0/1/CPU0/0 GigabitEthernet0/2/0/0.1000 Te0/0/1/3 Bundle-Ether1.5011035 Bundle-Ether1.10231016.ip18484"""
match = self.rx_interface_name.match(s)
if not match:
raise InterfaceTypeError("Invalid interface '%s'" % s)
... | the_stack_v2_python_sparse | sa/profiles/Cisco/IOSXR/profile.py | ewwwcha/noc | train | 1 | |
dc17fb0f49a4c61be892bc5341567d564ca82806 | [
"if session is None and slot is None:\n raise LunaException('A slot ID or a session handle must be specified!')\nself.password = password\nself.user = user\nself.session = session\nself.slot = slot\nself._session = None",
"if self.session is None:\n self._session = Session(self.slot)\n self.session = sel... | <|body_start_0|>
if session is None and slot is None:
raise LunaException('A slot ID or a session handle must be specified!')
self.password = password
self.user = user
self.session = session
self.slot = slot
self._session = None
<|end_body_0|>
<|body_start_1|... | Session which has a user authenticated; C_Login is run | AuthenticatedSession | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthenticatedSession:
"""Session which has a user authenticated; C_Login is run"""
def __init__(self, password, user, session=None, slot=None):
"""A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: use... | stack_v2_sparse_classes_36k_train_021175 | 3,686 | permissive | [
{
"docstring": "A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: user password :param user: user :param session: session handle of an already open session :param slot: slot number",
"name": "__init__",
"signature": "def... | 3 | stack_v2_sparse_classes_30k_train_021057 | Implement the Python class `AuthenticatedSession` described below.
Class description:
Session which has a user authenticated; C_Login is run
Method signatures and docstrings:
- def __init__(self, password, user, session=None, slot=None): A session can optionally already be open. Otherwise open one on entry. It is an ... | Implement the Python class `AuthenticatedSession` described below.
Class description:
Session which has a user authenticated; C_Login is run
Method signatures and docstrings:
- def __init__(self, password, user, session=None, slot=None): A session can optionally already be open. Otherwise open one on entry. It is an ... | 1d0b94307b9c92c4f19c3d3fe3bda1be37f4c853 | <|skeleton|>
class AuthenticatedSession:
"""Session which has a user authenticated; C_Login is run"""
def __init__(self, password, user, session=None, slot=None):
"""A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: use... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AuthenticatedSession:
"""Session which has a user authenticated; C_Login is run"""
def __init__(self, password, user, session=None, slot=None):
"""A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: user password :p... | the_stack_v2_python_sparse | pycryptoki/utilities.py | ThalesGroup/pycryptoki | train | 29 |
c2becd509e7392a90aeb931be5a0505ebba94362 | [
"self.num_points = num_points\nself.x_values = [0]\nself.y_values = [0]",
"while len(self.x_values) < self.num_points:\n x_direction = choice([1, -1])\n x_distance = choice([0, 1, 2, 3, 4])\n x_step = x_direction * x_distance\n y_direction = choice([1, -1])\n y_distance = choice([0, 1, 2, 3, 4])\n ... | <|body_start_0|>
self.num_points = num_points
self.x_values = [0]
self.y_values = [0]
<|end_body_0|>
<|body_start_1|>
while len(self.x_values) < self.num_points:
x_direction = choice([1, -1])
x_distance = choice([0, 1, 2, 3, 4])
x_step = x_direction *... | 一个生成随机漫步数据的类 | RandomWalk | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomWalk:
"""一个生成随机漫步数据的类"""
def __init__(self, num_points=5000):
"""初始化随机漫步的属性"""
<|body_0|>
def fill_walk(self):
"""计算随机漫步包含的所有点"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.num_points = num_points
self.x_values = [0]
... | stack_v2_sparse_classes_36k_train_021176 | 2,094 | no_license | [
{
"docstring": "初始化随机漫步的属性",
"name": "__init__",
"signature": "def __init__(self, num_points=5000)"
},
{
"docstring": "计算随机漫步包含的所有点",
"name": "fill_walk",
"signature": "def fill_walk(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014504 | Implement the Python class `RandomWalk` described below.
Class description:
一个生成随机漫步数据的类
Method signatures and docstrings:
- def __init__(self, num_points=5000): 初始化随机漫步的属性
- def fill_walk(self): 计算随机漫步包含的所有点 | Implement the Python class `RandomWalk` described below.
Class description:
一个生成随机漫步数据的类
Method signatures and docstrings:
- def __init__(self, num_points=5000): 初始化随机漫步的属性
- def fill_walk(self): 计算随机漫步包含的所有点
<|skeleton|>
class RandomWalk:
"""一个生成随机漫步数据的类"""
def __init__(self, num_points=5000):
"""初... | c998faa04abf21cf62a539bd57c24440ae939387 | <|skeleton|>
class RandomWalk:
"""一个生成随机漫步数据的类"""
def __init__(self, num_points=5000):
"""初始化随机漫步的属性"""
<|body_0|>
def fill_walk(self):
"""计算随机漫步包含的所有点"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomWalk:
"""一个生成随机漫步数据的类"""
def __init__(self, num_points=5000):
"""初始化随机漫步的属性"""
self.num_points = num_points
self.x_values = [0]
self.y_values = [0]
def fill_walk(self):
"""计算随机漫步包含的所有点"""
while len(self.x_values) < self.num_points:
x_... | the_stack_v2_python_sparse | static/Mac/练习/随机漫步/random_walk.py | li-MacBook-Pro/li | train | 0 |
2505cd8105d929f46fe40905a99048f9dfbb78ea | [
"self.root = AncestralTree('A')\nself.B = AncestralTree('B')\nself.C = AncestralTree('C')\nself.D = AncestralTree('D')\nself.E = AncestralTree('E')\nself.F = AncestralTree('F')\nself.G = AncestralTree('G')\nself.H = AncestralTree('H')\nself.I = AncestralTree('I')\nself.B.ancestor = self.root\nself.C.ancestor = self... | <|body_start_0|>
self.root = AncestralTree('A')
self.B = AncestralTree('B')
self.C = AncestralTree('C')
self.D = AncestralTree('D')
self.E = AncestralTree('E')
self.F = AncestralTree('F')
self.G = AncestralTree('G')
self.H = AncestralTree('H')
self... | Class with unittests for YoungestCommonAncestor.py | test_YoungestCommonAncestor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class test_YoungestCommonAncestor:
"""Class with unittests for YoungestCommonAncestor.py"""
def setUp(self):
"""SetUp tree for tests."""
<|body_0|>
def test_ExpectedOutput(self):
"""Checks if returned output is as expected."""
<|body_1|>
<|end_skeleton|>
<|bo... | stack_v2_sparse_classes_36k_train_021177 | 1,547 | no_license | [
{
"docstring": "SetUp tree for tests.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Checks if returned output is as expected.",
"name": "test_ExpectedOutput",
"signature": "def test_ExpectedOutput(self)"
}
] | 2 | null | Implement the Python class `test_YoungestCommonAncestor` described below.
Class description:
Class with unittests for YoungestCommonAncestor.py
Method signatures and docstrings:
- def setUp(self): SetUp tree for tests.
- def test_ExpectedOutput(self): Checks if returned output is as expected. | Implement the Python class `test_YoungestCommonAncestor` described below.
Class description:
Class with unittests for YoungestCommonAncestor.py
Method signatures and docstrings:
- def setUp(self): SetUp tree for tests.
- def test_ExpectedOutput(self): Checks if returned output is as expected.
<|skeleton|>
class test... | 3aa62ad36c3b06b2a3b05f1f8e2a9e21d68b371f | <|skeleton|>
class test_YoungestCommonAncestor:
"""Class with unittests for YoungestCommonAncestor.py"""
def setUp(self):
"""SetUp tree for tests."""
<|body_0|>
def test_ExpectedOutput(self):
"""Checks if returned output is as expected."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class test_YoungestCommonAncestor:
"""Class with unittests for YoungestCommonAncestor.py"""
def setUp(self):
"""SetUp tree for tests."""
self.root = AncestralTree('A')
self.B = AncestralTree('B')
self.C = AncestralTree('C')
self.D = AncestralTree('D')
self.E = An... | the_stack_v2_python_sparse | AlgoExpert_algorithms/Medium/YoungestCommonAncestor/test_YoubgestCommonAncestor.py | JakubKazimierski/PythonPortfolio | train | 9 |
8f2d20b264f65bbcff282625aa4c42d9052d82ab | [
"view = self.context.get('view', None)\nfields = ('email', 'username', 'phone_number', 'first_name', 'last_name', 'profile')\nif view is not None:\n if view.view_name == 'users' and view.action in view.fields_to_return:\n fields = view.fields_to_return[view.action]['followers']['follower']\nreturn UserMod... | <|body_start_0|>
view = self.context.get('view', None)
fields = ('email', 'username', 'phone_number', 'first_name', 'last_name', 'profile')
if view is not None:
if view.view_name == 'users' and view.action in view.fields_to_return:
fields = view.fields_to_return[view.... | Follow model serializer. | FollowModelSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FollowModelSerializer:
"""Follow model serializer."""
def get_follower(self, obj):
"""Return followers information."""
<|body_0|>
def get_followed(self, obj):
"""Return followers information."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
view ... | stack_v2_sparse_classes_36k_train_021178 | 4,291 | no_license | [
{
"docstring": "Return followers information.",
"name": "get_follower",
"signature": "def get_follower(self, obj)"
},
{
"docstring": "Return followers information.",
"name": "get_followed",
"signature": "def get_followed(self, obj)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014082 | Implement the Python class `FollowModelSerializer` described below.
Class description:
Follow model serializer.
Method signatures and docstrings:
- def get_follower(self, obj): Return followers information.
- def get_followed(self, obj): Return followers information. | Implement the Python class `FollowModelSerializer` described below.
Class description:
Follow model serializer.
Method signatures and docstrings:
- def get_follower(self, obj): Return followers information.
- def get_followed(self, obj): Return followers information.
<|skeleton|>
class FollowModelSerializer:
"""... | e2f4557e2a85405838c6c9f65f1cb8a5f60a35ba | <|skeleton|>
class FollowModelSerializer:
"""Follow model serializer."""
def get_follower(self, obj):
"""Return followers information."""
<|body_0|>
def get_followed(self, obj):
"""Return followers information."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FollowModelSerializer:
"""Follow model serializer."""
def get_follower(self, obj):
"""Return followers information."""
view = self.context.get('view', None)
fields = ('email', 'username', 'phone_number', 'first_name', 'last_name', 'profile')
if view is not None:
... | the_stack_v2_python_sparse | apps/users/serializers/follow.py | HebertFerrer/WebMaster-back-end | train | 0 |
7c95171619985a7770772a094f52bad2824d330c | [
"super().__init__(name, entity_id, CATEGORY_SENSOR, *args, **kwargs)\nself._hass = hass\nself._entity_id = entity_id\nserv_temp = add_preload_service(self, SERV_TEMPERATURE_SENSOR)\nself.char_temp = serv_temp.get_characteristic(CHAR_CURRENT_TEMPERATURE)\noverride_properties(self.char_temp, PROP_CELSIUS)\nself.char_... | <|body_start_0|>
super().__init__(name, entity_id, CATEGORY_SENSOR, *args, **kwargs)
self._hass = hass
self._entity_id = entity_id
serv_temp = add_preload_service(self, SERV_TEMPERATURE_SENSOR)
self.char_temp = serv_temp.get_characteristic(CHAR_CURRENT_TEMPERATURE)
overri... | Generate a TemperatureSensor accessory for a temperature sensor. Sensor entity must return temperature in °C, °F. | TemperatureSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TemperatureSensor:
"""Generate a TemperatureSensor accessory for a temperature sensor. Sensor entity must return temperature in °C, °F."""
def __init__(self, hass, entity_id, name, *args, **kwargs):
"""Initialize a TemperatureSensor accessory object."""
<|body_0|>
def up... | stack_v2_sparse_classes_36k_train_021179 | 3,357 | permissive | [
{
"docstring": "Initialize a TemperatureSensor accessory object.",
"name": "__init__",
"signature": "def __init__(self, hass, entity_id, name, *args, **kwargs)"
},
{
"docstring": "Update temperature after state changed.",
"name": "update_state",
"signature": "def update_state(self, entit... | 2 | stack_v2_sparse_classes_30k_train_019061 | Implement the Python class `TemperatureSensor` described below.
Class description:
Generate a TemperatureSensor accessory for a temperature sensor. Sensor entity must return temperature in °C, °F.
Method signatures and docstrings:
- def __init__(self, hass, entity_id, name, *args, **kwargs): Initialize a TemperatureS... | Implement the Python class `TemperatureSensor` described below.
Class description:
Generate a TemperatureSensor accessory for a temperature sensor. Sensor entity must return temperature in °C, °F.
Method signatures and docstrings:
- def __init__(self, hass, entity_id, name, *args, **kwargs): Initialize a TemperatureS... | 5c4529d044463083bad73cdbf9d17d8cb2b29afa | <|skeleton|>
class TemperatureSensor:
"""Generate a TemperatureSensor accessory for a temperature sensor. Sensor entity must return temperature in °C, °F."""
def __init__(self, hass, entity_id, name, *args, **kwargs):
"""Initialize a TemperatureSensor accessory object."""
<|body_0|>
def up... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TemperatureSensor:
"""Generate a TemperatureSensor accessory for a temperature sensor. Sensor entity must return temperature in °C, °F."""
def __init__(self, hass, entity_id, name, *args, **kwargs):
"""Initialize a TemperatureSensor accessory object."""
super().__init__(name, entity_id, C... | the_stack_v2_python_sparse | homeassistant/components/homekit/type_sensors.py | simpss/home-assistant | train | 1 |
565ee0808c7de8bfc0c3aeecc8894f18786e1944 | [
"test_data = recipe_test_api.TestData()\ntest_data.expect_exception(EXC.__name__)\nself.assertFalse(test_data.consumed)\nwith test_data.should_raise_exception(EXC()) as should_raise:\n self.assertFalse(should_raise)\nwith test_data.should_raise_exception(ValueError()) as should_raise:\n self.assertTrue(should... | <|body_start_0|>
test_data = recipe_test_api.TestData()
test_data.expect_exception(EXC.__name__)
self.assertFalse(test_data.consumed)
with test_data.should_raise_exception(EXC()) as should_raise:
self.assertFalse(should_raise)
with test_data.should_raise_exception(Val... | TestExpectedException | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestExpectedException:
def testRecognizeException(self):
"""An expected exception is correctly recognized."""
<|body_0|>
def testNewException(self):
"""An unexpected exception results in being told to re-raise ."""
<|body_1|>
def testDisabledTestData(sel... | stack_v2_sparse_classes_36k_train_021180 | 1,452 | permissive | [
{
"docstring": "An expected exception is correctly recognized.",
"name": "testRecognizeException",
"signature": "def testRecognizeException(self)"
},
{
"docstring": "An unexpected exception results in being told to re-raise .",
"name": "testNewException",
"signature": "def testNewExcepti... | 3 | stack_v2_sparse_classes_30k_train_000314 | Implement the Python class `TestExpectedException` described below.
Class description:
Implement the TestExpectedException class.
Method signatures and docstrings:
- def testRecognizeException(self): An expected exception is correctly recognized.
- def testNewException(self): An unexpected exception results in being ... | Implement the Python class `TestExpectedException` described below.
Class description:
Implement the TestExpectedException class.
Method signatures and docstrings:
- def testRecognizeException(self): An expected exception is correctly recognized.
- def testNewException(self): An unexpected exception results in being ... | 91c13923c1d136dc688527fa39583ef61a3277f7 | <|skeleton|>
class TestExpectedException:
def testRecognizeException(self):
"""An expected exception is correctly recognized."""
<|body_0|>
def testNewException(self):
"""An unexpected exception results in being told to re-raise ."""
<|body_1|>
def testDisabledTestData(sel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestExpectedException:
def testRecognizeException(self):
"""An expected exception is correctly recognized."""
test_data = recipe_test_api.TestData()
test_data.expect_exception(EXC.__name__)
self.assertFalse(test_data.consumed)
with test_data.should_raise_exception(EXC()... | the_stack_v2_python_sparse | recipe_engine/unittests/recipe_test_api_test.py | DalavanCloud/recipes-py | train | 1 | |
0089b7f00d19d1d99fa810fad4439e3983192321 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn IdentityContainer()",
"from .b2x_identity_user_flow import B2xIdentityUserFlow\nfrom .conditional_access_root import ConditionalAccessRoot\nfrom .entity import Entity\nfrom .identity_api_connector import IdentityApiConnector\nfrom .ide... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return IdentityContainer()
<|end_body_0|>
<|body_start_1|>
from .b2x_identity_user_flow import B2xIdentityUserFlow
from .conditional_access_root import ConditionalAccessRoot
from .entit... | IdentityContainer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IdentityContainer:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IdentityContainer:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object... | stack_v2_sparse_classes_36k_train_021181 | 4,484 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: IdentityContainer",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_v... | 3 | null | Implement the Python class `IdentityContainer` described below.
Class description:
Implement the IdentityContainer class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IdentityContainer: Creates a new instance of the appropriate class based on discrim... | Implement the Python class `IdentityContainer` described below.
Class description:
Implement the IdentityContainer class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IdentityContainer: Creates a new instance of the appropriate class based on discrim... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class IdentityContainer:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IdentityContainer:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IdentityContainer:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> IdentityContainer:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Iden... | the_stack_v2_python_sparse | msgraph/generated/models/identity_container.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
13642efb5454f2b5e122664dbb346ac8bb65e96c | [
"assert len(panels) == len(labels)\nself.panels, self.labels = (panels, labels)\npx = px_per_unit[unit]\nw, h = (w * px, h * px)\nself.fig = etree.Element('svg', {'version': '1.1', 'width': str(w), 'height': str(h), 'viewBox': f'0 0 {w} {h}'}, nsmap={None: 'http://www.w3.org/2000/svg', 'xlink': 'http://www.w3.org/1... | <|body_start_0|>
assert len(panels) == len(labels)
self.panels, self.labels = (panels, labels)
px = px_per_unit[unit]
w, h = (w * px, h * px)
self.fig = etree.Element('svg', {'version': '1.1', 'width': str(w), 'height': str(h), 'viewBox': f'0 0 {w} {h}'}, nsmap={None: 'http://www... | A figure, container of all panels and panel labels. | Figure | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Figure:
"""A figure, container of all panels and panel labels."""
def __init__(self, w, h, panels: List[Panel], labels: List[PanelLabel]):
""":param w: desired width of the figure. :param h: desired height of the figure. :param panels: panels to be combined into the figure. :param la... | stack_v2_sparse_classes_36k_train_021182 | 7,890 | permissive | [
{
"docstring": ":param w: desired width of the figure. :param h: desired height of the figure. :param panels: panels to be combined into the figure. :param labels: index labels of the panels.",
"name": "__init__",
"signature": "def __init__(self, w, h, panels: List[Panel], labels: List[PanelLabel])"
}... | 2 | stack_v2_sparse_classes_30k_train_009829 | Implement the Python class `Figure` described below.
Class description:
A figure, container of all panels and panel labels.
Method signatures and docstrings:
- def __init__(self, w, h, panels: List[Panel], labels: List[PanelLabel]): :param w: desired width of the figure. :param h: desired height of the figure. :param... | Implement the Python class `Figure` described below.
Class description:
A figure, container of all panels and panel labels.
Method signatures and docstrings:
- def __init__(self, w, h, panels: List[Panel], labels: List[PanelLabel]): :param w: desired width of the figure. :param h: desired height of the figure. :param... | 908f084b36c7387daf0cbfe75f16bab70cf96db9 | <|skeleton|>
class Figure:
"""A figure, container of all panels and panel labels."""
def __init__(self, w, h, panels: List[Panel], labels: List[PanelLabel]):
""":param w: desired width of the figure. :param h: desired height of the figure. :param panels: panels to be combined into the figure. :param la... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Figure:
"""A figure, container of all panels and panel labels."""
def __init__(self, w, h, panels: List[Panel], labels: List[PanelLabel]):
""":param w: desired width of the figure. :param h: desired height of the figure. :param panels: panels to be combined into the figure. :param labels: index l... | the_stack_v2_python_sparse | analysis/utils/svg_layout.py | DrugowitschLab/motion-structure-identification | train | 3 |
8f628d9883f132531e7589e207ab2ae7091bff3e | [
"actual_type = value.type.strip_typedefs()\nprint(\"The value of '%s' is of type '%s' which is a typedef of type '%s'\" % (expr, str(value.type), str(actual_type)))\nExplorer.explore_expr(expr, value.cast(actual_type), is_child)\nreturn False",
"actual_type = datatype.strip_typedefs()\nif is_child:\n print(\"T... | <|body_start_0|>
actual_type = value.type.strip_typedefs()
print("The value of '%s' is of type '%s' which is a typedef of type '%s'" % (expr, str(value.type), str(actual_type)))
Explorer.explore_expr(expr, value.cast(actual_type), is_child)
return False
<|end_body_0|>
<|body_start_1|>
... | Internal class used to explore values whose type is a typedef. | TypedefExplorer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TypedefExplorer:
"""Internal class used to explore values whose type is a typedef."""
def explore_expr(expr, value, is_child):
"""Function to explore typedef values. See Explorer.explore_expr for more information."""
<|body_0|>
def explore_type(name, datatype, is_child):... | stack_v2_sparse_classes_36k_train_021183 | 26,692 | permissive | [
{
"docstring": "Function to explore typedef values. See Explorer.explore_expr for more information.",
"name": "explore_expr",
"signature": "def explore_expr(expr, value, is_child)"
},
{
"docstring": "Function to explore typedef types. See Explorer.explore_type for more information.",
"name":... | 2 | stack_v2_sparse_classes_30k_train_015965 | Implement the Python class `TypedefExplorer` described below.
Class description:
Internal class used to explore values whose type is a typedef.
Method signatures and docstrings:
- def explore_expr(expr, value, is_child): Function to explore typedef values. See Explorer.explore_expr for more information.
- def explore... | Implement the Python class `TypedefExplorer` described below.
Class description:
Internal class used to explore values whose type is a typedef.
Method signatures and docstrings:
- def explore_expr(expr, value, is_child): Function to explore typedef values. See Explorer.explore_expr for more information.
- def explore... | b90664de0bd4c1897a9f1f5d9e360a9631d38b34 | <|skeleton|>
class TypedefExplorer:
"""Internal class used to explore values whose type is a typedef."""
def explore_expr(expr, value, is_child):
"""Function to explore typedef values. See Explorer.explore_expr for more information."""
<|body_0|>
def explore_type(name, datatype, is_child):... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TypedefExplorer:
"""Internal class used to explore values whose type is a typedef."""
def explore_expr(expr, value, is_child):
"""Function to explore typedef values. See Explorer.explore_expr for more information."""
actual_type = value.type.strip_typedefs()
print("The value of '%... | the_stack_v2_python_sparse | toolchain/riscv/Linux/share/gdb/python/gdb/command/explore.py | bouffalolab/bl_iot_sdk | train | 244 |
c60975bdd4787db37265e71df5987a713d4c6fca | [
"if isinstance(include_disabled, bool):\n include_disabled = str(include_disabled).lower()\nyield self.get('usergroups.users.list', params={'usergroup': usergroup, 'include_disabled': include_disabled})",
"if isinstance(users, (tuple, list)):\n users = ','.join(users)\nreturn self.post('usergroups.users.upd... | <|body_start_0|>
if isinstance(include_disabled, bool):
include_disabled = str(include_disabled).lower()
yield self.get('usergroups.users.list', params={'usergroup': usergroup, 'include_disabled': include_disabled})
<|end_body_0|>
<|body_start_1|>
if isinstance(users, (tuple, list))... | Follows the Slack UserGroupUsers API. See https://api.slack.com/methods | UserGroupsUsers | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserGroupsUsers:
"""Follows the Slack UserGroupUsers API. See https://api.slack.com/methods"""
def list(self, usergroup, include_disabled=False):
"""Lists all users in a usergroup :param usergroup: The usergroup ID :type usergroup: str :param include_disabled: Include disabled users ... | stack_v2_sparse_classes_36k_train_021184 | 1,563 | permissive | [
{
"docstring": "Lists all users in a usergroup :param usergroup: The usergroup ID :type usergroup: str :param include_disabled: Include disabled users :type include_disabled: bool :return: A response object to run the API request. :rtype: :class:`Response <Response>` object",
"name": "list",
"signature"... | 2 | stack_v2_sparse_classes_30k_train_019604 | Implement the Python class `UserGroupsUsers` described below.
Class description:
Follows the Slack UserGroupUsers API. See https://api.slack.com/methods
Method signatures and docstrings:
- def list(self, usergroup, include_disabled=False): Lists all users in a usergroup :param usergroup: The usergroup ID :type usergr... | Implement the Python class `UserGroupsUsers` described below.
Class description:
Follows the Slack UserGroupUsers API. See https://api.slack.com/methods
Method signatures and docstrings:
- def list(self, usergroup, include_disabled=False): Lists all users in a usergroup :param usergroup: The usergroup ID :type usergr... | 98871812797651f73e947bd03d1aef4626d875c8 | <|skeleton|>
class UserGroupsUsers:
"""Follows the Slack UserGroupUsers API. See https://api.slack.com/methods"""
def list(self, usergroup, include_disabled=False):
"""Lists all users in a usergroup :param usergroup: The usergroup ID :type usergroup: str :param include_disabled: Include disabled users ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserGroupsUsers:
"""Follows the Slack UserGroupUsers API. See https://api.slack.com/methods"""
def list(self, usergroup, include_disabled=False):
"""Lists all users in a usergroup :param usergroup: The usergroup ID :type usergroup: str :param include_disabled: Include disabled users :type include... | the_stack_v2_python_sparse | slackest/user_group_users.py | Cox-Automotive/slackest | train | 8 |
4b657313643cb3301f409c88dc9dac0586e25c3a | [
"uptime_str = uptime.split('uptime is ')[1]\nuptime_dict = process_uptime_string(uptime_str)\nself.years = uptime_dict['years']\nself.weeks = uptime_dict['weeks']\nself.days = uptime_dict['days']\nself.hours = uptime_dict['hours']\nself.minutes = uptime_dict['minutes']",
"s_in_minute = 60\ns_in_hour = 60 * s_in_m... | <|body_start_0|>
uptime_str = uptime.split('uptime is ')[1]
uptime_dict = process_uptime_string(uptime_str)
self.years = uptime_dict['years']
self.weeks = uptime_dict['weeks']
self.days = uptime_dict['days']
self.hours = uptime_dict['hours']
self.minutes = uptime_... | Uptime class | Uptime | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Uptime:
"""Uptime class"""
def __init__(self, uptime):
"""Creates Uptime object, takes uptime String as input"""
<|body_0|>
def uptime_in_seconds(self):
"""Return uptime in seconds"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
uptime_str = upt... | stack_v2_sparse_classes_36k_train_021185 | 2,111 | permissive | [
{
"docstring": "Creates Uptime object, takes uptime String as input",
"name": "__init__",
"signature": "def __init__(self, uptime)"
},
{
"docstring": "Return uptime in seconds",
"name": "uptime_in_seconds",
"signature": "def uptime_in_seconds(self)"
}
] | 2 | null | Implement the Python class `Uptime` described below.
Class description:
Uptime class
Method signatures and docstrings:
- def __init__(self, uptime): Creates Uptime object, takes uptime String as input
- def uptime_in_seconds(self): Return uptime in seconds | Implement the Python class `Uptime` described below.
Class description:
Uptime class
Method signatures and docstrings:
- def __init__(self, uptime): Creates Uptime object, takes uptime String as input
- def uptime_in_seconds(self): Return uptime in seconds
<|skeleton|>
class Uptime:
"""Uptime class"""
def _... | eaa52cd58cd2f49e0d5e8ccec3795a1098b08f20 | <|skeleton|>
class Uptime:
"""Uptime class"""
def __init__(self, uptime):
"""Creates Uptime object, takes uptime String as input"""
<|body_0|>
def uptime_in_seconds(self):
"""Return uptime in seconds"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Uptime:
"""Uptime class"""
def __init__(self, uptime):
"""Creates Uptime object, takes uptime String as input"""
uptime_str = uptime.split('uptime is ')[1]
uptime_dict = process_uptime_string(uptime_str)
self.years = uptime_dict['years']
self.weeks = uptime_dict['w... | the_stack_v2_python_sparse | week9/Uptime.py | gerards/pynet_learning_python | train | 0 |
e767234d860b04d844ab98d7e41aa068f97f0efb | [
"if dispatch in self.poll_answers and (not self.voted):\n temp_poll_answers = self.poll_answers\n temp_poll_answers[dispatch] += 1\n self.poll_answers = temp_poll_answers\n self.voted = True\n self.poll_answer = dispatch\n return json.dumps({'poll_answers': self.poll_answers, 'total': sum(self.pol... | <|body_start_0|>
if dispatch in self.poll_answers and (not self.voted):
temp_poll_answers = self.poll_answers
temp_poll_answers[dispatch] += 1
self.poll_answers = temp_poll_answers
self.voted = True
self.poll_answer = dispatch
return json.d... | Poll Module | PollBlock | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PollBlock:
"""Poll Module"""
def handle_ajax(self, dispatch, data):
"""Ajax handler. Args: dispatch: string request slug data: dict request data parameters Returns: json string"""
<|body_0|>
def student_view(self, _context):
"""Renders the student view."""
... | stack_v2_sparse_classes_36k_train_021186 | 9,113 | permissive | [
{
"docstring": "Ajax handler. Args: dispatch: string request slug data: dict request data parameters Returns: json string",
"name": "handle_ajax",
"signature": "def handle_ajax(self, dispatch, data)"
},
{
"docstring": "Renders the student view.",
"name": "student_view",
"signature": "def... | 5 | null | Implement the Python class `PollBlock` described below.
Class description:
Poll Module
Method signatures and docstrings:
- def handle_ajax(self, dispatch, data): Ajax handler. Args: dispatch: string request slug data: dict request data parameters Returns: json string
- def student_view(self, _context): Renders the st... | Implement the Python class `PollBlock` described below.
Class description:
Poll Module
Method signatures and docstrings:
- def handle_ajax(self, dispatch, data): Ajax handler. Args: dispatch: string request slug data: dict request data parameters Returns: json string
- def student_view(self, _context): Renders the st... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class PollBlock:
"""Poll Module"""
def handle_ajax(self, dispatch, data):
"""Ajax handler. Args: dispatch: string request slug data: dict request data parameters Returns: json string"""
<|body_0|>
def student_view(self, _context):
"""Renders the student view."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PollBlock:
"""Poll Module"""
def handle_ajax(self, dispatch, data):
"""Ajax handler. Args: dispatch: string request slug data: dict request data parameters Returns: json string"""
if dispatch in self.poll_answers and (not self.voted):
temp_poll_answers = self.poll_answers
... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/common/lib/xmodule/xmodule/poll_module.py | luque/better-ways-of-thinking-about-software | train | 3 |
840938d07f9f8269db7570a7e2ea7db348cbbc28 | [
"\"\"\"\n Do not return anything, modify board in-place instead.\n \"\"\"\nif len(board) == 0:\n return\nrow, col = (len(board), len(board[0]))\n\ndef fun(i, j, flag):\n dic = [[-1, -1], [0, -1], [1, -1], [-1, 0], [1, 0], [-1, 1], [0, 1], [1, 1]]\n count = 0\n for d in dic:\n x, y =... | <|body_start_0|>
"""
Do not return anything, modify board in-place instead.
"""
if len(board) == 0:
return
row, col = (len(board), len(board[0]))
def fun(i, j, flag):
dic = [[-1, -1], [0, -1], [1, -1], [-1, 0], [1, 0], [-1, 1], [0,... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""执行用时 :104 ms, 在所有 Python3 提交中击败了6.56%的用户 内存消耗 :29.1 MB, 在所有 Python3 提交中击败了10.53%的用户 思路：利用额外的数组记录当前值，最后赋值给原数组 1、copy.deepcopy知识点 :param board: :return:"""
<|body_0|>
def gameOfLife2(self, board: List[List[int]... | stack_v2_sparse_classes_36k_train_021187 | 6,464 | no_license | [
{
"docstring": "执行用时 :104 ms, 在所有 Python3 提交中击败了6.56%的用户 内存消耗 :29.1 MB, 在所有 Python3 提交中击败了10.53%的用户 思路：利用额外的数组记录当前值，最后赋值给原数组 1、copy.deepcopy知识点 :param board: :return:",
"name": "gameOfLife",
"signature": "def gameOfLife(self, board: List[List[int]]) -> None"
},
{
"docstring": "执行用时 :144 ms, 在所有 ... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board: List[List[int]]) -> None: 执行用时 :104 ms, 在所有 Python3 提交中击败了6.56%的用户 内存消耗 :29.1 MB, 在所有 Python3 提交中击败了10.53%的用户 思路：利用额外的数组记录当前值，最后赋值给原数组 1、copy.deepcopy... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board: List[List[int]]) -> None: 执行用时 :104 ms, 在所有 Python3 提交中击败了6.56%的用户 内存消耗 :29.1 MB, 在所有 Python3 提交中击败了10.53%的用户 思路：利用额外的数组记录当前值，最后赋值给原数组 1、copy.deepcopy... | e43ee86c5a8cdb808da09b4b6138e10275abadb5 | <|skeleton|>
class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""执行用时 :104 ms, 在所有 Python3 提交中击败了6.56%的用户 内存消耗 :29.1 MB, 在所有 Python3 提交中击败了10.53%的用户 思路：利用额外的数组记录当前值，最后赋值给原数组 1、copy.deepcopy知识点 :param board: :return:"""
<|body_0|>
def gameOfLife2(self, board: List[List[int]... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""执行用时 :104 ms, 在所有 Python3 提交中击败了6.56%的用户 内存消耗 :29.1 MB, 在所有 Python3 提交中击败了10.53%的用户 思路：利用额外的数组记录当前值，最后赋值给原数组 1、copy.deepcopy知识点 :param board: :return:"""
"""
Do not return anything, modify board in-place instead... | the_stack_v2_python_sparse | LeetCode/数组/289. Game of Life.py | yiming1012/MyLeetCode | train | 2 | |
3f001039742ae63e79e25bbb0459c1be586de6ba | [
"self.state_size = state_size\nself.action_size = action_size\nself.action_high = action_high\nself.action_low = action_low\nself.layer_sizes = layer_sizes\nself.batch_norm_options = batch_norm_options\nself.dropout_options = dropout_options\nself.learning_rate = learning_rate\nself.logger = logger\nself.build_mode... | <|body_start_0|>
self.state_size = state_size
self.action_size = action_size
self.action_high = action_high
self.action_low = action_low
self.layer_sizes = layer_sizes
self.batch_norm_options = batch_norm_options
self.dropout_options = dropout_options
self... | Standard QNetwork implementation : Actor(Policy) Model | DQNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DQNetwork:
"""Standard QNetwork implementation : Actor(Policy) Model"""
def __init__(self, state_size, action_size, action_high=1.0, action_low=0.0, layer_sizes=(64, 64), batch_norm_options=(True, True), dropout_options=(0, 0), learning_rate=0.0001, logger=None):
"""Initialise the Ne... | stack_v2_sparse_classes_36k_train_021188 | 3,237 | no_license | [
{
"docstring": "Initialise the Network Model with given number of layes defined with given size. Parameters ========== :param state_size : size of the state space. :type state_size : int :param action_size : size of the action space. :type action_size : int :param action_high : Upper bound of the action space. ... | 2 | stack_v2_sparse_classes_30k_train_003272 | Implement the Python class `DQNetwork` described below.
Class description:
Standard QNetwork implementation : Actor(Policy) Model
Method signatures and docstrings:
- def __init__(self, state_size, action_size, action_high=1.0, action_low=0.0, layer_sizes=(64, 64), batch_norm_options=(True, True), dropout_options=(0, ... | Implement the Python class `DQNetwork` described below.
Class description:
Standard QNetwork implementation : Actor(Policy) Model
Method signatures and docstrings:
- def __init__(self, state_size, action_size, action_high=1.0, action_low=0.0, layer_sizes=(64, 64), batch_norm_options=(True, True), dropout_options=(0, ... | 4f16a275121fc631420eb2a9708eafec5b91d494 | <|skeleton|>
class DQNetwork:
"""Standard QNetwork implementation : Actor(Policy) Model"""
def __init__(self, state_size, action_size, action_high=1.0, action_low=0.0, layer_sizes=(64, 64), batch_norm_options=(True, True), dropout_options=(0, 0), learning_rate=0.0001, logger=None):
"""Initialise the Ne... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DQNetwork:
"""Standard QNetwork implementation : Actor(Policy) Model"""
def __init__(self, state_size, action_size, action_high=1.0, action_low=0.0, layer_sizes=(64, 64), batch_norm_options=(True, True), dropout_options=(0, 0), learning_rate=0.0001, logger=None):
"""Initialise the Network Model w... | the_stack_v2_python_sparse | DQN-DDQN/Deep-Q-Network/model/DQNetwork.py | YikangGui/Reinforcement-Learning-Algorithms-Zoo | train | 0 |
c557a2fe8a1257dc82c869ebc002f0d5929b67ad | [
"dict1 = {}\nn = len(matrix)\nfor i in range(n):\n dict1[i] = [0] * n\nfor index1 in range(n):\n for index2 in range(n):\n dict1[index2][n - 1 - index1] = matrix[index1][index2]\nreturn [dict1[i] for i in range(n)]",
"n = len(matrix)\nfor index1, index2 in [[i, j] for i in range(n // 2) for j in rang... | <|body_start_0|>
dict1 = {}
n = len(matrix)
for i in range(n):
dict1[i] = [0] * n
for index1 in range(n):
for index2 in range(n):
dict1[index2][n - 1 - index1] = matrix[index1][index2]
return [dict1[i] for i in range(n)]
<|end_body_0|>
<|b... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rotate2(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
<|body_0|>
def rotate(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-p... | stack_v2_sparse_classes_36k_train_021189 | 1,514 | no_license | [
{
"docstring": ":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.",
"name": "rotate2",
"signature": "def rotate2(self, matrix)"
},
{
"docstring": ":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.",... | 2 | stack_v2_sparse_classes_30k_train_006468 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate2(self, matrix): :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.
- def rotate(self, matrix): :type matrix: List[List[... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate2(self, matrix): :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead.
- def rotate(self, matrix): :type matrix: List[List[... | bdf5518fb387dfa599964425354115dfad49eb00 | <|skeleton|>
class Solution:
def rotate2(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
<|body_0|>
def rotate(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def rotate2(self, matrix):
""":type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead."""
dict1 = {}
n = len(matrix)
for i in range(n):
dict1[i] = [0] * n
for index1 in range(n):
for index2 in r... | the_stack_v2_python_sparse | Rotate Image.py | jinxin0924/LeetCode | train | 1 | |
f016eed3e5da4170291d6ccc550c63f187ce7f0c | [
"super().__init__(name='continue_predictor')\nself.model_size = model_size\nself.mlp = MLP(model_size=model_size, output_layer_size=1)\ndl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32\nself.call = tf.function(input_signature=[tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtyp... | <|body_start_0|>
super().__init__(name='continue_predictor')
self.model_size = model_size
self.mlp = MLP(model_size=model_size, output_layer_size=1)
dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32
self.call = tf.function(input_signature=[tf.TensorSp... | The world-model network sub-component used to predict the `continue` flags . Predicted continue flags are used to produce "dream data" to learn the policy in. The continue flags are predicted via a linear output used to parameterize a Bernoulli distribution, from which simply the mode is used (no stochastic sampling!).... | ContinuePredictor | [
"MIT",
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContinuePredictor:
"""The world-model network sub-component used to predict the `continue` flags . Predicted continue flags are used to produce "dream data" to learn the policy in. The continue flags are predicted via a linear output used to parameterize a Bernoulli distribution, from which simpl... | stack_v2_sparse_classes_36k_train_021190 | 3,620 | permissive | [
{
"docstring": "Initializes a ContinuePredictor instance. Args: model_size: The \"Model Size\" used according to [1] Appendinx B. Determines the exact size of the underlying MLP.",
"name": "__init__",
"signature": "def __init__(self, *, model_size: Optional[str]='XS')"
},
{
"docstring": "Perform... | 2 | null | Implement the Python class `ContinuePredictor` described below.
Class description:
The world-model network sub-component used to predict the `continue` flags . Predicted continue flags are used to produce "dream data" to learn the policy in. The continue flags are predicted via a linear output used to parameterize a B... | Implement the Python class `ContinuePredictor` described below.
Class description:
The world-model network sub-component used to predict the `continue` flags . Predicted continue flags are used to produce "dream data" to learn the policy in. The continue flags are predicted via a linear output used to parameterize a B... | edba68c3e7cf255d1d6479329f305adb7fa4c3ed | <|skeleton|>
class ContinuePredictor:
"""The world-model network sub-component used to predict the `continue` flags . Predicted continue flags are used to produce "dream data" to learn the policy in. The continue flags are predicted via a linear output used to parameterize a Bernoulli distribution, from which simpl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ContinuePredictor:
"""The world-model network sub-component used to predict the `continue` flags . Predicted continue flags are used to produce "dream data" to learn the policy in. The continue flags are predicted via a linear output used to parameterize a Bernoulli distribution, from which simply the mode is... | the_stack_v2_python_sparse | rllib/algorithms/dreamerv3/tf/models/components/continue_predictor.py | ray-project/ray | train | 29,482 |
6b0a3c65d424a58eca674bfeb5e503dda88075f4 | [
"with self.assertRaise(ValueError) as error:\n Yearly_Income('a', 2001)\nself.assertTrue('Invalid type for data passed into this class' in str(error.exception))",
"with self.assertRaise(ValueError) as error:\n Yearly_Income(data, 'a')\nself.assertTrue('Improper type for year passed into this class' in str(e... | <|body_start_0|>
with self.assertRaise(ValueError) as error:
Yearly_Income('a', 2001)
self.assertTrue('Invalid type for data passed into this class' in str(error.exception))
<|end_body_0|>
<|body_start_1|>
with self.assertRaise(ValueError) as error:
Yearly_Income(data, '... | Test | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test:
def income_test1(self):
"""This function tests to see that the proper Error is raised when something besides a dataframe is passed for data into the class"""
<|body_0|>
def income_test2(self):
"""This function tests to see that the proper Error is raised when s... | stack_v2_sparse_classes_36k_train_021191 | 1,630 | no_license | [
{
"docstring": "This function tests to see that the proper Error is raised when something besides a dataframe is passed for data into the class",
"name": "income_test1",
"signature": "def income_test1(self)"
},
{
"docstring": "This function tests to see that the proper Error is raised when somet... | 3 | stack_v2_sparse_classes_30k_train_002732 | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def income_test1(self): This function tests to see that the proper Error is raised when something besides a dataframe is passed for data into the class
- def income_test2(self): This fun... | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def income_test1(self): This function tests to see that the proper Error is raised when something besides a dataframe is passed for data into the class
- def income_test2(self): This fun... | f5bb1e51de4f84ab3dd62d3073aee4f56534afa1 | <|skeleton|>
class Test:
def income_test1(self):
"""This function tests to see that the proper Error is raised when something besides a dataframe is passed for data into the class"""
<|body_0|>
def income_test2(self):
"""This function tests to see that the proper Error is raised when s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test:
def income_test1(self):
"""This function tests to see that the proper Error is raised when something besides a dataframe is passed for data into the class"""
with self.assertRaise(ValueError) as error:
Yearly_Income('a', 2001)
self.assertTrue('Invalid type for data pa... | the_stack_v2_python_sparse | sar516/tests.py | ds-ga-1007/assignment9 | train | 2 | |
fcbf5cc791337372a8eaf2bb91a6ec75d4306cbf | [
"for i in range(1, 664):\n url = 'http://www.xicidaili.com/nt/' + str(i)\n yield Request(url, headers=self.header, callback=self.parse)",
"ip_list = response.xpath('//table[@id=\"ip_list\"]/tr')\npre_item = XiciItem()\nfor ip in ip_list[1:]:\n pre_item['ip'] = ip.xpath('td[2]/text()')[0].extract()\n p... | <|body_start_0|>
for i in range(1, 664):
url = 'http://www.xicidaili.com/nt/' + str(i)
yield Request(url, headers=self.header, callback=self.parse)
<|end_body_0|>
<|body_start_1|>
ip_list = response.xpath('//table[@id="ip_list"]/tr')
pre_item = XiciItem()
for ip ... | XicispiderSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XicispiderSpider:
def start_requests(self):
"""初始url请求返回reponse给解析函数"""
<|body_0|>
def parse(self, response):
"""解析每一个url返回的rasponse"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for i in range(1, 664):
url = 'http://www.xicidaili.com/... | stack_v2_sparse_classes_36k_train_021192 | 1,310 | no_license | [
{
"docstring": "初始url请求返回reponse给解析函数",
"name": "start_requests",
"signature": "def start_requests(self)"
},
{
"docstring": "解析每一个url返回的rasponse",
"name": "parse",
"signature": "def parse(self, response)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000602 | Implement the Python class `XicispiderSpider` described below.
Class description:
Implement the XicispiderSpider class.
Method signatures and docstrings:
- def start_requests(self): 初始url请求返回reponse给解析函数
- def parse(self, response): 解析每一个url返回的rasponse | Implement the Python class `XicispiderSpider` described below.
Class description:
Implement the XicispiderSpider class.
Method signatures and docstrings:
- def start_requests(self): 初始url请求返回reponse给解析函数
- def parse(self, response): 解析每一个url返回的rasponse
<|skeleton|>
class XicispiderSpider:
def start_requests(sel... | b2ec55d07736a4bc05be893cdecfef4e01b3cf9d | <|skeleton|>
class XicispiderSpider:
def start_requests(self):
"""初始url请求返回reponse给解析函数"""
<|body_0|>
def parse(self, response):
"""解析每一个url返回的rasponse"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class XicispiderSpider:
def start_requests(self):
"""初始url请求返回reponse给解析函数"""
for i in range(1, 664):
url = 'http://www.xicidaili.com/nt/' + str(i)
yield Request(url, headers=self.header, callback=self.parse)
def parse(self, response):
"""解析每一个url返回的rasponse"""
... | the_stack_v2_python_sparse | crawler/xici/xici/spiders/xicispider.py | PubFork/Myrepo | train | 0 | |
b132281c8fcdec7fd36eca56e90b26ebcdedf406 | [
"Logger.debug('cmd is get model attribute, method is post.')\nresponse_data = self.query_data()\nreturn Response(json.dumps(response_data), status.HTTP_200_OK)",
"Logger.debug('cmd is get model attribute, method is get.')\nresponse_data = self.query_data()\nreturn Response(json.dumps(response_data), status.HTTP_2... | <|body_start_0|>
Logger.debug('cmd is get model attribute, method is post.')
response_data = self.query_data()
return Response(json.dumps(response_data), status.HTTP_200_OK)
<|end_body_0|>
<|body_start_1|>
Logger.debug('cmd is get model attribute, method is get.')
response_data ... | 获取模型属性接口 | ModelAttributeViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelAttributeViewSet:
"""获取模型属性接口"""
def create(self, request):
""":param request: :return:"""
<|body_0|>
def list(self, request):
""":param request: :return:"""
<|body_1|>
def query_data(self):
""":return:"""
<|body_2|>
<|end_skele... | stack_v2_sparse_classes_36k_train_021193 | 2,633 | no_license | [
{
"docstring": ":param request: :return:",
"name": "create",
"signature": "def create(self, request)"
},
{
"docstring": ":param request: :return:",
"name": "list",
"signature": "def list(self, request)"
},
{
"docstring": ":return:",
"name": "query_data",
"signature": "def... | 3 | stack_v2_sparse_classes_30k_train_003814 | Implement the Python class `ModelAttributeViewSet` described below.
Class description:
获取模型属性接口
Method signatures and docstrings:
- def create(self, request): :param request: :return:
- def list(self, request): :param request: :return:
- def query_data(self): :return: | Implement the Python class `ModelAttributeViewSet` described below.
Class description:
获取模型属性接口
Method signatures and docstrings:
- def create(self, request): :param request: :return:
- def list(self, request): :param request: :return:
- def query_data(self): :return:
<|skeleton|>
class ModelAttributeViewSet:
""... | bdc4b0289b520f433fa9f436067b9f355ac132a0 | <|skeleton|>
class ModelAttributeViewSet:
"""获取模型属性接口"""
def create(self, request):
""":param request: :return:"""
<|body_0|>
def list(self, request):
""":param request: :return:"""
<|body_1|>
def query_data(self):
""":return:"""
<|body_2|>
<|end_skele... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ModelAttributeViewSet:
"""获取模型属性接口"""
def create(self, request):
""":param request: :return:"""
Logger.debug('cmd is get model attribute, method is post.')
response_data = self.query_data()
return Response(json.dumps(response_data), status.HTTP_200_OK)
def list(self, ... | the_stack_v2_python_sparse | gezusercenter/sdk/modelattr_views.py | jiangbingo/usercenter | train | 0 |
c8a590ce80bc311971f7b3f5abdafb166f57c268 | [
"md5 = hashlib.md5()\nmd5.update(str)\nreturn md5.hexdigest()",
"url = '/createM3U8'\nheaders = HeaderData().Content__Type('application/json').ACCEPT('application/json').getRes()\nbody_data = {'username': 'tester', 'file_id': Api_M3U8().Md5Token(fileid), 'm3u8_url': m3u8_url}\nresponse = send_request('[CreateM3U8... | <|body_start_0|>
md5 = hashlib.md5()
md5.update(str)
return md5.hexdigest()
<|end_body_0|>
<|body_start_1|>
url = '/createM3U8'
headers = HeaderData().Content__Type('application/json').ACCEPT('application/json').getRes()
body_data = {'username': 'tester', 'file_id': Api_... | Api_M3U8 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Api_M3U8:
def Md5Token(self, str):
"""str to md5 :param str: :return:"""
<|body_0|>
def CreateM3U8(self, fileid, m3u8_url):
"""通过该接口创建m3u8 :param fileid: :param m3u8_url: :return:"""
<|body_1|>
def DeleteM3U8(self, fileid):
"""通过该接口删除m3u8 :param ... | stack_v2_sparse_classes_36k_train_021194 | 2,048 | no_license | [
{
"docstring": "str to md5 :param str: :return:",
"name": "Md5Token",
"signature": "def Md5Token(self, str)"
},
{
"docstring": "通过该接口创建m3u8 :param fileid: :param m3u8_url: :return:",
"name": "CreateM3U8",
"signature": "def CreateM3U8(self, fileid, m3u8_url)"
},
{
"docstring": "通过... | 3 | null | Implement the Python class `Api_M3U8` described below.
Class description:
Implement the Api_M3U8 class.
Method signatures and docstrings:
- def Md5Token(self, str): str to md5 :param str: :return:
- def CreateM3U8(self, fileid, m3u8_url): 通过该接口创建m3u8 :param fileid: :param m3u8_url: :return:
- def DeleteM3U8(self, fil... | Implement the Python class `Api_M3U8` described below.
Class description:
Implement the Api_M3U8 class.
Method signatures and docstrings:
- def Md5Token(self, str): str to md5 :param str: :return:
- def CreateM3U8(self, fileid, m3u8_url): 通过该接口创建m3u8 :param fileid: :param m3u8_url: :return:
- def DeleteM3U8(self, fil... | 3445b59b29854b70f25da2950016f135aa2a5204 | <|skeleton|>
class Api_M3U8:
def Md5Token(self, str):
"""str to md5 :param str: :return:"""
<|body_0|>
def CreateM3U8(self, fileid, m3u8_url):
"""通过该接口创建m3u8 :param fileid: :param m3u8_url: :return:"""
<|body_1|>
def DeleteM3U8(self, fileid):
"""通过该接口删除m3u8 :param ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Api_M3U8:
def Md5Token(self, str):
"""str to md5 :param str: :return:"""
md5 = hashlib.md5()
md5.update(str)
return md5.hexdigest()
def CreateM3U8(self, fileid, m3u8_url):
"""通过该接口创建m3u8 :param fileid: :param m3u8_url: :return:"""
url = '/createM3U8'
... | the_stack_v2_python_sparse | lib/feature/m3u8_segment/m3u8_api.py | namesuqi/zeus | train | 0 | |
aad18c13426a86afc0636207535350413a3d8143 | [
"super(FNNwithLinear, self).__init__()\nself.input_dim = input_dim\nself.output_dim = output_dim\nself.hidden_dim = hidden_dim\nself.num_hidden_layers = num_hidden_layers\nself.num_layers = num_hidden_layers + 2\nself.hidden_activation = hidden_activation\nself.layers = torch.nn.ModuleList()\nself.layers.append(tor... | <|body_start_0|>
super(FNNwithLinear, self).__init__()
self.input_dim = input_dim
self.output_dim = output_dim
self.hidden_dim = hidden_dim
self.num_hidden_layers = num_hidden_layers
self.num_layers = num_hidden_layers + 2
self.hidden_activation = hidden_activatio... | Implements a FNN with parameterizable number of layers, dimensions, and hidden activations. Sub-classing the torch.nn.Module to be able to use high-level API for creating the custom network | FNNwithLinear | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FNNwithLinear:
"""Implements a FNN with parameterizable number of layers, dimensions, and hidden activations. Sub-classing the torch.nn.Module to be able to use high-level API for creating the custom network"""
def __init__(self, input_dim: int, output_dim: int, hidden_dim: int, num_hidden_l... | stack_v2_sparse_classes_36k_train_021195 | 3,981 | permissive | [
{
"docstring": "Bulilds the model :param input_dim: the input dimension :param output_dim: the output dimension :param hidden_dim: the hidden dimension :param num_hidden_layers: the number of hidden layers :param hidden_activation: hidden activation type",
"name": "__init__",
"signature": "def __init__(... | 3 | null | Implement the Python class `FNNwithLinear` described below.
Class description:
Implements a FNN with parameterizable number of layers, dimensions, and hidden activations. Sub-classing the torch.nn.Module to be able to use high-level API for creating the custom network
Method signatures and docstrings:
- def __init__(... | Implement the Python class `FNNwithLinear` described below.
Class description:
Implements a FNN with parameterizable number of layers, dimensions, and hidden activations. Sub-classing the torch.nn.Module to be able to use high-level API for creating the custom network
Method signatures and docstrings:
- def __init__(... | d10830fef55308d383c98b41b34688a7fceae357 | <|skeleton|>
class FNNwithLinear:
"""Implements a FNN with parameterizable number of layers, dimensions, and hidden activations. Sub-classing the torch.nn.Module to be able to use high-level API for creating the custom network"""
def __init__(self, input_dim: int, output_dim: int, hidden_dim: int, num_hidden_l... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FNNwithLinear:
"""Implements a FNN with parameterizable number of layers, dimensions, and hidden activations. Sub-classing the torch.nn.Module to be able to use high-level API for creating the custom network"""
def __init__(self, input_dim: int, output_dim: int, hidden_dim: int, num_hidden_layers: int=2,... | the_stack_v2_python_sparse | gym_idsgame/agents/training_agents/models/fnn_w_linear.py | Limmen/gym-idsgame | train | 49 |
c89aa6808e1b01164b218eec582f0e1ba8c1dbdc | [
"indegree = [0 for i in range(numCourses)]\ng = dict()\nfor a, b in prerequisites:\n indegree[b] += 1\n if a not in g:\n g[a] = list()\n g[a].append(b)\nq = list()\nfor i in range(len(indegree)):\n if indegree[i] == 0:\n q.append(i)\ncount = 0\nwhile q:\n course = q.pop()\n count += ... | <|body_start_0|>
indegree = [0 for i in range(numCourses)]
g = dict()
for a, b in prerequisites:
indegree[b] += 1
if a not in g:
g[a] = list()
g[a].append(b)
q = list()
for i in range(len(indegree)):
if indegree[i] =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canFinish(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool"""
<|body_0|>
def canFinish(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bo... | stack_v2_sparse_classes_36k_train_021196 | 2,001 | no_license | [
{
"docstring": ":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool",
"name": "canFinish",
"signature": "def canFinish(self, numCourses, prerequisites)"
},
{
"docstring": ":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool",
"name": "canFinish",
"... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canFinish(self, numCourses, prerequisites): :type numCourses: int :type prerequisites: List[List[int]] :rtype: bool
- def canFinish(self, numCourses, prerequisites): :type nu... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canFinish(self, numCourses, prerequisites): :type numCourses: int :type prerequisites: List[List[int]] :rtype: bool
- def canFinish(self, numCourses, prerequisites): :type nu... | 2ecaeed38178819480388b5742bc2ea12009ae16 | <|skeleton|>
class Solution:
def canFinish(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool"""
<|body_0|>
def canFinish(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canFinish(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool"""
indegree = [0 for i in range(numCourses)]
g = dict()
for a, b in prerequisites:
indegree[b] += 1
if a not in g:
... | the_stack_v2_python_sparse | 207.course-schedule.py | LouisYLWang/leetcode_python | train | 0 | |
3848fcd96a2a098ec2073c866aaf50668f8b9242 | [
"res = 0\nfor num in nums:\n res ^= num\nreturn res",
"d = {}\nfor num in nums:\n if num not in d:\n d[num] = 1\n else:\n d[num] += 1\nfor k, v in d.items():\n if v == 1:\n return k",
"collect = set()\nfor num in nums:\n if num not in collect:\n collect.add(num)\n e... | <|body_start_0|>
res = 0
for num in nums:
res ^= num
return res
<|end_body_0|>
<|body_start_1|>
d = {}
for num in nums:
if num not in d:
d[num] = 1
else:
d[num] += 1
for k, v in d.items():
if... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def singleNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def singleNumberAltA(self, nums):
"""using dict"""
<|body_1|>
def singleNumberAltB(self, nums):
"""using set"""
<|body_2|>
<|end_skeleton|>
<|bod... | stack_v2_sparse_classes_36k_train_021197 | 824 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "singleNumber",
"signature": "def singleNumber(self, nums)"
},
{
"docstring": "using dict",
"name": "singleNumberAltA",
"signature": "def singleNumberAltA(self, nums)"
},
{
"docstring": "using set",
"name": "singleNu... | 3 | stack_v2_sparse_classes_30k_train_021312 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNumber(self, nums): :type nums: List[int] :rtype: int
- def singleNumberAltA(self, nums): using dict
- def singleNumberAltB(self, nums): using set | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNumber(self, nums): :type nums: List[int] :rtype: int
- def singleNumberAltA(self, nums): using dict
- def singleNumberAltB(self, nums): using set
<|skeleton|>
class S... | 4ec4f9fbb0ef07ea13207654a619cfdb709cc78c | <|skeleton|>
class Solution:
def singleNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def singleNumberAltA(self, nums):
"""using dict"""
<|body_1|>
def singleNumberAltB(self, nums):
"""using set"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def singleNumber(self, nums):
""":type nums: List[int] :rtype: int"""
res = 0
for num in nums:
res ^= num
return res
def singleNumberAltA(self, nums):
"""using dict"""
d = {}
for num in nums:
if num not in d:
... | the_stack_v2_python_sparse | 0_single_number.py | gautamgitspace/leetcode_30-day_challenge | train | 0 | |
4b323c5f1d3b122b148d45dca3e59db54a99cb52 | [
"try:\n Public_Page.debug_NomalTest(driver, title='我的种子', MainWait_Element='.modules.main.views.activities.MainActivity', find_element_id='com.pujitech.pujiejia:id/tv_user_wallet', Wait_Element='.modules.bounspoint.activites.BonusPointsDetailActivity', check_element_id='com.pujitech.pujiejia:id/tv_title')\n P... | <|body_start_0|>
try:
Public_Page.debug_NomalTest(driver, title='我的种子', MainWait_Element='.modules.main.views.activities.MainActivity', find_element_id='com.pujitech.pujiejia:id/tv_user_wallet', Wait_Element='.modules.bounspoint.activites.BonusPointsDetailActivity', check_element_id='com.pujitech.pu... | MyTorrent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyTorrent:
def MyTorrent(driver):
"""先决条件：进入我家页面 :return: None"""
<|body_0|>
def IntoPurse(driver):
"""先决条件：进入我家页面 :return: None"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
Public_Page.debug_NomalTest(driver, title='我的种子', MainW... | stack_v2_sparse_classes_36k_train_021198 | 4,911 | no_license | [
{
"docstring": "先决条件：进入我家页面 :return: None",
"name": "MyTorrent",
"signature": "def MyTorrent(driver)"
},
{
"docstring": "先决条件：进入我家页面 :return: None",
"name": "IntoPurse",
"signature": "def IntoPurse(driver)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000135 | Implement the Python class `MyTorrent` described below.
Class description:
Implement the MyTorrent class.
Method signatures and docstrings:
- def MyTorrent(driver): 先决条件：进入我家页面 :return: None
- def IntoPurse(driver): 先决条件：进入我家页面 :return: None | Implement the Python class `MyTorrent` described below.
Class description:
Implement the MyTorrent class.
Method signatures and docstrings:
- def MyTorrent(driver): 先决条件：进入我家页面 :return: None
- def IntoPurse(driver): 先决条件：进入我家页面 :return: None
<|skeleton|>
class MyTorrent:
def MyTorrent(driver):
"""先决条件：进... | 618a47ea572f8fccfbf10f5f50aff1dfffb7b0e3 | <|skeleton|>
class MyTorrent:
def MyTorrent(driver):
"""先决条件：进入我家页面 :return: None"""
<|body_0|>
def IntoPurse(driver):
"""先决条件：进入我家页面 :return: None"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyTorrent:
def MyTorrent(driver):
"""先决条件：进入我家页面 :return: None"""
try:
Public_Page.debug_NomalTest(driver, title='我的种子', MainWait_Element='.modules.main.views.activities.MainActivity', find_element_id='com.pujitech.pujiejia:id/tv_user_wallet', Wait_Element='.modules.bounspoint.acti... | the_stack_v2_python_sparse | Appium/Hachi_Android/src/ReleasePage/Case04_MyTorrent.py | Fengyongming0311/TANUKI | train | 0 | |
393ce01e14959781ac450a66c8a6b22f6b364e59 | [
"x = str(x)\na = x[::-1]\nif x == a:\n return True\nelse:\n return False",
"if x < 0:\n return False\nelif x % 10 == 0 and x != 0:\n return False\nelse:\n revertedNumber = 0\n while x > revertedNumber:\n revertedNumber = revertedNumber * 10 + x % 10\n x /= 10\n return x == rever... | <|body_start_0|>
x = str(x)
a = x[::-1]
if x == a:
return True
else:
return False
<|end_body_0|>
<|body_start_1|>
if x < 0:
return False
elif x % 10 == 0 and x != 0:
return False
else:
revertedNumber = 0... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindromeStr(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
x = str(x)
a = x[::-1]
if x == a:
... | stack_v2_sparse_classes_36k_train_021199 | 1,925 | no_license | [
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindromeStr",
"signature": "def isPalindromeStr(self, x)"
},
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001673 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindromeStr(self, x): :type x: int :rtype: bool
- def isPalindrome(self, x): :type x: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindromeStr(self, x): :type x: int :rtype: bool
- def isPalindrome(self, x): :type x: int :rtype: bool
<|skeleton|>
class Solution:
def isPalindromeStr(self, x):
... | 3f7b2ea959308eb80f4c65be35aaeed666570f80 | <|skeleton|>
class Solution:
def isPalindromeStr(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isPalindromeStr(self, x):
""":type x: int :rtype: bool"""
x = str(x)
a = x[::-1]
if x == a:
return True
else:
return False
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
if x < 0:
return ... | the_stack_v2_python_sparse | 9.回文数.py | dxc19951001/Everyday_LeetCode | train | 1 |
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